Infectious disease An infectious disease is a clinically evident illness resulting from the presence of pathogenic microbial agents, including pathogenic viruses , pathogenic bacteria , fungi , protozoa , multicellular parasites , and aberrant proteins known as prions . These pathogens are able to cause disease in animals and/or plants. Infectious pathologies are also called communicable diseases or transmissible diseases due to their potential of transmission from one person or species to another by a replicating agent (as opposed to a toxin] Transmission of an infectious disease may occur through one or more of diverse pathways including physical contact with infected individuals. These infecting agents may also be transmitted through liquids, food, body fluids, contaminated objects, airborne inhalation, or through vector -borne spread. [2] Transmissible diseases which occur through contact with an ill person or their secretions, or objects touched by them, are especially infective, and are sometimes referred to as contagious diseases. Infectious (communicable) diseases which usually require a more specialized route of infection, such as vector transmission, blood or needle transmission, or sexual transmission, are usually not regarded as contagious, and thus not are not as amenable to medical quarantine of victims. The term infectivity describes the ability of an organism to enter, survive and multiply in the host, while the infectiousness of a disease indicates the comparative ease with which the disease is transmitted to other hosts. [3] An infection however, is not synonymous with an infectious disease, as an infection may not cause important clinical symptoms or impair host function. [2] Classification Among the almost infinite varieties of microorganisms , relatively few cause disease in otherwise healthy individuals. [4] Infectious disease results from the interplay between those few pathogens and the defenses of the hosts they infect. The appearance and severity of disease resulting from any pathogen depends upon the ability of that pathogen to damage the host as well as the ability of the host to resist the pathogen. Infectious microorganisms, or microbes, are therefore classified as either primary pathogens or as opportunistic pathogens according to the status of host defenses. Primary pathogens cause disease as a result of their presence or activity within the normal, healthy host, and their intrinsic virulence (the severity of the disease they cause) is, in part, a necessary consequence of their need to
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Infectious diseaseAn infectious disease is a clinically evident illness resulting from the presence of pathogenic
12-17 Tropical diseases (6)[15] 0.13 million 0.2% 0.53 million 9, 10, 16-18
Note: Other causes of death include maternal and perinatal conditions (5.2%), nutritional deficiencies (0.9%),noncommunicable conditions (58.8%), and injuries (9.1%).
The top three single agent/disease killers are HIV/AIDS, TB and malaria. While the number of deaths due
to nearly every disease have decreased, deaths due to HIV/AIDS have increased fourfold. Childhood
diseases include pertussis, poliomyelitis, diphtheria, measles and tetanus. Children also make up a large
percentage of lower respiratory and diarrheal deaths.
Historic pandemics
A young Bangladeshi girl infected with smallpox (1973). Due to the development of the smallpox vaccine, the disease
was officially eradicated in 1979.
A pandemic (or global epidemic) is a disease that affects people over an extensive geographical area.
Plague of Justinian , from 541 to 750, killed between 50% and 60% of
Europe's population.[16]
The Black Death of 1347 to 1352 killed 25 million in Europe over 5 years
(estimated to be between 25 and 50% of the populations of Europe, Asia,
and Africa - the world population at the time was 500 million).
The introduction of smallpox, measles, and typhus to the areas of Central
and South America by European explorers during the 15th and 16th
centuries caused pandemics among the native inhabitants. Between 1518
and 1568 disease pandemics are said to have caused the population
of Mexico to fall from 20 million to 3 million.[17]
The first European influenza epidemic occurred between 1556 and 1560,
with an estimated mortality rate of 20%.[17]
Smallpox killed an estimated 60 million Europeans during the 18th
century[18] (approximately 400,000 per year).[19] Up to 30% of those
infected, including 80% of the children under 5 years of age, died from the
disease, and one third of the survivors went blind.[20]
In the 19th century, tuberculosis killed an estimated one-quarter of the
adult population of Europe;[21] by 1918 one in six deaths in France were
Robert Koch, provided the study of infectious diseases with a scientific basis known as Koch's postulates.
Edward Jenner, Jonas Salk and Albert Sabin developed effective vaccines for smallpox and polio, which
would later result in the eradication and near-eradication of these diseases, respectively.
Alexander Fleming discovered the world's first antibiotic Penicillin which Florey and Chain then developed.
Gerhard Domagk developed sulphonamides, the first broad spectrum synthetic antibacterial drugs.
Medical specialists
The medical treatment of infectious diseases falls into the medical field of Infectiology and in some cases
the study of propagation pertains to the field ofEpidemiology. Generally, infections are initially diagnosed
by primary care physicians or internal medicine specialists. For example, an
"uncomplicated"pneumonia will generally be treated by the internist or the pulmonologist (lung
physician).The work of the infectiologist therefore entails working with both patients and general
practitioners, as well as laboratory scientists, immunologists, bacteriologists and other specialists.
An infectious disease team may be alerted when:
The disease has not been definitively diagnosed after an initial workup
The patient is immunocompromised (for example, in AIDS or
after chemotherapy);
The infectious agent is of an uncommon nature (e.g. tropical diseases);
The disease has not responded to first line antibiotics;
The disease might be dangerous to other patients, and the patient might
have to be isolated
PRENATAL DIAGNOSIS OF MONOGENIC DISORDERS BY DNA ANALYSIS:
WHAT, WHY, WHO, AND HOW?M.A. Morris
Division of Medical Genetics, Department of Genetics and Microbiology,
University Medical Centre, 1211 Geneva 4, Switzerland
Introduction
Fifteen years after the first prenatal DNA diagnosis was carried out, by Kan and Dozy in 1978 (for sickle cell anaemia (7)), the DNA-based diagnosis of monogenic disorders is finally becoming considered a routine service, in general because of the rapid advance of knowledge in the field of human molecular genetics. More particularly, the invention and development of the polymerase chain reaction (PCR) has made prenatal detection faster, cheaper, and more sensitive. Prenatal DNA testing is commonly provided by specialized laboratories attached to clinical cytogenetic services, whose experience in genetic counselling is of great importance.
What?
At present, prenatal DNA testing is restricted to monogenic disorders—those diseases in which the clinical phenotype is a direct consequence of the mutation of a single gene. In the long term, it is possible that diagnosis will also become available for multigenic diseases, when their genetic aetiology is better understood.
Tests are available for the majority of the common monogenic disorders, as well as for a great number of rarer ones. Table 1 shows a selection of seven diseases for which prenatal testing is available and commonly requested. All of these diseases, with the exception of congenital adrenal hyperplasia, are relatively common and severe. Cystic fibrosis is the most common lethal genetic disease of childhood in populations of white European origin, fragile X syndrome is one of the most common causes of mental retardation in males, and both sickle cell anaemia and type I (Portuguese-type) familial amyloidotic polyneuropathy (FAP1) are lethal diseases which reach endemic levels in some regions.
It is no longer meaningful (nor indeed possible) to produce an exhaustive catalogue of diseases for which DNA testing is available. In the most recent comprehensive review of this subject, Connor (2) lists forty-seven diseases for which DNA-based prenatal diagnosis had been reported, and a further sixty-nine for which testing would be technically possible if desired. In the last year, this list has expanded by perhaps one quarter.
For DNA testing to be made available for a particular disease, only two basic conditions must be fulfilled:
1. A precise clinical diagnosis must be possible.2. The defective gene must either have been accurately mapped to a region of a chromosome or, ideally,
cloned and characterized.
The former point initially seems self-evident, but incorporates the important concept of genetic heterogeneity: a disease phenotype can be caused by defects in different genes. In the worst cases, different genetic defects simply cannot be distinguished on clinical grounds, potentially leading to the wrong gene being analysed. Furthermore, the clinician must always be ready to reconsider diagnoses that were made years earlier, perhaps because new genes have been found; this can be difficult or impossible if no patients are available for examination and if the clinical documentation is incomplete.
The latter point illustrates one of the major reasons for the recent rapid increase in the clinical significance of molecular genetics: more and more human genes are being characterized and their roles in disease investigated, providing the basic tools for clinical diagnosis. In particular, one of the principal aims of the Human Genome Project is the production of a map of all human genes, which will be a tool of immeasurable value in clinical medecine (1).
Why?
In general, two conditions are required to justify prenatal diagnosis of any sort:
1. The risk of disease should be greater than the risk of the test.2. A " useful action " should be available when the result is obtained.
Ethical considerations are of great importance in prenatal diagnosis, because for the majority of disorders termination is the intended course of action; the interested reader is referred to the excellent study of Fletcher and Wertz (5).
Prenatal DNA diagnosis is not a screening test
At present, prenatal DNA analysis is a test performed exclusively on indication—in contrast to physical, cytogenetic, and enzymatic examinations, it is not regarded as a screening test.
Prenatal diagnosis is generally contraindicated when the risk of performing the test exceeds the risk of the disease being present. The nature of the molecular genetics techniques used in prenatal diagnosis imposes a high degree of specificity—one test examines one (defined) disorder. Given the incidence of most monogenic disorders, it is evidently only in exceptional circumstances that the risk to a fetus of inheriting a defined disease will exceed the risk of performing the test (which necessarily involves amniocentesis, chorionic villus sampling (CVS), or fetal blood sampling), and therefore that DNA diagnosis is indicated.
In contrast, the more general tests currently employed in prenatal screening can detect the effects of a wide range of different disorders; although each one of these may be relatively infrequent, the cumulative risk is often significant, notably with increased maternal age.
Two situations can be foreseen where prenatal DNA screening might be justified. Firstly, for the rare situation where lethal genetic diseases are endemic in local populations, such as FAP1 in northern Sweden or in certain regions of Portugal (about 1 in 30 affected), and sickle cell anaemia in some regions of the Mediterranean (1 in 3 carriers).
Secondly, amongst women who have requested amniocentesis or CVS for the diagnosis of chromosomal anomalies and have concomitantly accepted the risk of an invasive technique. The incidences cited in Table 1 show that, amongst 10’000 cytogenetic prenatal diagnoses (e.g. for maternal age) in Switzerland, there will be 5 fetuses with cystic fibrosis, 4 males with fragile X syndrome, and 1-2 males with Duchenne muscular dystrophy. In certain populations, there might in addition be 30 with sickle cell anaemia or FAP1. In all these cases, the result of " cytogenetically normal " would be given.
In conclusion, in some situations there may be a clear argument for offering a DNA-based screening of a few monogenic disorders, selected according to their frequency in the population in question.
The purpose of a prenatal diagnosis is to act on the result
The procedure of a prenatal diagnosis, for a monogenic disorder or for any other, should be undertaken only in the aim of taking positive action in the case of an unfavourable result. For the great majority of disorders, at present the only possible action is termination. The parents should be counselled about the different courses of action before starting the diagnostic procedure, to allow them to take an informed decision.
In the future, many diseases may be susceptible to treatment in utero, but at present this is unfortunately a rare option. One common disorder amenable to such treatment is congenital adrenal hyperplasia, where prenatal diagnosis has a proven positive value in avoiding the virilizing effects associated with the defect of the enzyme steroid 21-hydroxylase.
If neither termination nor in utero treatment is being considered, there is rarely an indication for prenatal diagnosis.
Who?
It depends on the risk
As was described above, prenatal diagnosis is generally indicated for parents for whom the risk of having an affected fetus are greater than the risk of undergoing the test, or in the rare cases where an in utero treatment is available. Consequently, the major consideration when answering the above question is the precise risk of having an affected child.
Three factors are involved in defining the genetic risk for a couple:
1. The mode of transmission of the disorder.2. For recessive disorders only, the population frequency of (asymptomatic) carriers.3. The results of DNA testing of the parents (rather than the fetus).
Example: Cystic fibrosis. To illustrate the practical application of risk calculations in combination with DNA testing, we will consider a family with one member affected by cystic fibrosis (CF), an autosomal recessive disorder which is very common in populations of white European origin (Table 2).
The medical genetics of CF are well known:
autosomal recessive transmission; carrier frequency: about 1 in 23 people; incidence (at birth) 1 in 2000; gene " CFTR " on chromosome 7; well-characterized; over 200 mutations known; one very common mutation: F508 (70% of all mutations); about 80% of mutations can be routinely detected.
One boy of the family is affected by the disease (individual III-1). The known autosomal recessive inheritance of the disease indicates that his parents (II-1 and II-2) are obligate carriers of mutations of the CFTR gene. The risk ® for each subsequent child of this couple is a function of four probabilities:
p(father carrier) x p(mother carrier) x p(father transmits) x p(mother transmits)
R = 1 x 1 x ½ x ½ = ¼
With such a high risk, a prenatal diagnosis would of course be indicated. But is a prenatal similarly indicated for the aunt of the affected child and her husband (II-3 and II-4)?
The prior risk that the aunt is a carrier—before any DNA analysis has been performed—is approximately ½, and the risk of her husband is that of the normal population. Consequently,
Rprior = ½ x 1/23 x ½ x ½ = 1/184
The prior risk for the fetus is perhaps low in absolute terms, but is nonetheless sufficiently high (over ten times that of the normal population) to provoke concern.
DNA testing of the parents is useful to modify this risk, and to give a better indication of the options in terms of prenatal diagnosis. Let us suppose that the most common mutations of CFTR are tested in the couple: the aunt II-3 is shown to be a carrier, but her husband III-4 is not. These mutations account for 80% of all CFTR mutations (in terms of frequency), and so the residual risk that the husband is a carrier is only 20% of the prior risk.
Rresidual = 1 x (1/23 x 20/100) x ½ x ½ = 1/460
Even though the one of the couple is a proven carrier, testing of her husband has led to a reduced calculated risk for the fetus, and to a greatly reduced indication for prenatal testing.
These calculations can be utilised for other autosomal recessive disorders, simply by modifying the carrier frequency.
It should also be noted that, in the case of the couple II-3 and II-4, it is not possible to guarantee an informative prenatal diagnosis, because although no mutation has been found in the father, the presence of an undetected mutation cannot be excluded. There are two possible outcomes to a prenatal diagnosis:
1. If the mother is shown not to have transmitted her mutation, the fetus cannot be affected.2. If the mother does transmit her mutation, the statistical risk that the fetus be affected increases, but no
further diagnosis can be performed.
The former result is obviously of positive value, and the latter equally obviously has a considerable negative psychological effect. Despite this, in our experience approximately half of couples request prenatal diagnosis in these circumstances after being informed of the possible outcomes.
How?
Two different types of analysis are used for in DNA diagnosis.
Direct analysis of the mutation responsible for a disease permits a rapid diagnosis, with 100% accuracy, and generally at reasonable cost. In diseases with a unique mutation, such as sickle cell anaemia, the test can be used without any preliminary family studies. In those diseases with multiple mutations, such as cystic fibrosis, it is necessary to study an affected index patient (or carrier), to identify the particular mutation(s) which will be sought during the prenatal diagnosis.
Example: sickle cell anaemia. Fig. 1 shows a family with one child affected by sickle cell anaemia, who is by definition homozygous for the mutant gene haemoglobin (HB) S. The parents are heterozygous, with one mutant and one normal gene. Future pregnancies for this couple can be tested immediately, by directly testing for the presence or absence of the mutation in a CVS or amniocentesis, with the polymerase chain reaction (PCR).
Briefly, the ·ß-globin gene is amplified to near-purity with the PCR, and then tested with the enzyme Dde1. This enzyme recognizes the DNA sequence of the normal gene and cuts it into two fragments (two bands on the gel), but is unable to recognize the mutant gene, leaving it uncut (one band). The pattern of the fragments after gel electrophoresis provides the diagnosis. The result can be obtained within 24 hours of the reception of the sample.
Indirect analysis can be used for many disorders, but is <100% accurate
Direct analysis is frequently impossible, either because the disease gene is not completely characterized or because the exact mutation in a family cannot be identified. In such cases, indirect analysis is the only option, on the condition that the position of the gene on the chromosomes is known and that a linked marker is available. A linked marker is a sequence of DNA—perhaps a gene, perhaps a sequence which codes for nothing—which is physically near to the gene of interest, and which is polymorphic in the population. It may have only two different forms (such as the Rhesus blood group), or many (for example the HLA system of major histocompatibility antigens).
Fig. 2 shows an indirect analysis of a family with a child with the autosomal recessive disease congenital adrenal hyperplasia (CAH). The disease gene, steroid 21-hydroxylase, has many different mutations, and so indirect testing is generally necessary. 21-hydroxylase is adjacent to the HLA genes on chromosome 6, providing a perfect polymorphic marker for diagnosis.
In this family, three different variants of HLA (alleles) are present. Because the HLA genes are so closely linked to the disease gene, the HLA alleles in the affected child can be used as labels to identify the mutant chromosomes in the parents. Thus the father’s mutation is associated with B7, and the mother’s with B2. DNA analysis of the fetal HLA genes indicates that the fetus has inherited a B7 allele from each parent, and by inference a mutant 21-hydroxylase gene from the father but a normal one from the mother. The diagnosis is therefore that the fetus is an unaffected carrier of CAH.
Unfortunately, this analysis carries a small risk of error. During meiosis, every chromosome undergoes at least one crossover event with its homologue. Because the marker used in the diagnosis is not precisely at the site of the mutation, there is a possibility that during the maternal meiosis there was a crossover between the HLA and
21-hydroxylase genes. The outcome of such a recombination would be a pair of chromosomes with the B2 allele on the healthy chromosome and the B7 on the mutant, and subsequently a false diagnosis.
This risk is proportional to the distance between the polymorphic marker and the disease gene, and so it is important to use the most closely-linked markers available. The frequency of recombination should be determined before using a marker, to permit an accurate assessment of the risk of error (in the above example, the risk of error is approximately 1%). In addition, this risk can be almost eliminated by using a marker to each side of the gene: in this case, an error could only arise if two crossovers, one just to each side of the gene, were to occur, which is very unlikely.
Finally, it must be noted that it is essential to have a DNA sample from an affected individual to perform an indirect analysis, to determine which " label " is associated with the mutation in each family member. It is consequently often necessary to maintain a " DNA bank " of samples from affected patients, in case a diagnosis will ever be required in a family.
Concluding remarks
Prenatal diagnosis of monogenic disease is now accepted as a routine service in clinical genetics, although it should be noted that the analyses are technically demanding and not generally amenable to a " kit " approach but require a specialized laboratory. Many monogenic diseases can be tested now, and more are being added to the list every month. The message to the practising clinician is: if in doubt, ask!
DNA technology is also being applied to cytogenetic analyses, to increase their sensitivity and informativity. Fluorescent in situ hybridization can be used clinically to identify marker chromosomes, to characterize complex rearrangements, to detect microdeletions, or simply to provide rapid detection of chromosomal aneuploidies without cell culture (8). In addition, analysis of DNA polymorphisms has been used in the author’s laboratory to exclude uniparental disomy in some families with balanced translocations (4).
In the future, it is possible that DNA analysis will be offered as a screening test for several of the most frequent disorders, particularly in pregnancies where chromosomal analysis has already been requested.
In the very long term, prenatal diagnosis in very high risk pregnancies may be superseded by preimplantation diagnosis, in which single cells from a number of embryos are tested, and only non-affected embryos implanted. This approach has already been successfully used for cystic fibrosis (6).
I would like to thank my colleagues in the Division of Medical Genetics for their help and for many interesting discussions. The views expressed in this article are the views of the author, and not necessarily policy of this Division.
References
1. Antonarakis, S.E. (1993): Trends Genet., 9:142-147.2. Connor, J.M. (1992): In: Prenatal Diagnosis and Screening, edited by D.J.H. Brock, C.H. Rodeck, and
M.A. Ferguson-Smith, pp. 515-547. Churchill Livingstone, Edinburgh.3. Davies, K. (1990): Nature, 348:110-111.4. Engel, E., and DeLozier-Blanchet, C.D. (1991): Am. J. Med. Genet., 40:432-439.5. Fletcher, J.C., and Wertz, D.C. (1992): In: Prenatal Diagnosis and Screening, edited by D.J.H. Brock,
C.H. Rodeck and M.A. Ferguson-Smith, pp. 741-754. Churchill Livingstone, Edinburgh.6. Handyside, A.H., Lesko, J.G., Tarìn, J.J., Winston, R.M.L., and Hughes, M.R. (1992): N. Eng. J. Med.,
327:905-909.7. Kan, Y.W., and Dozy, A.M. (1978): Lancet, ii:910-912.8. Ledbetter, D.H. (1992): Hum. Molec. Genet., 1:297-299.9. Mandel, J-L. (1993): Nature Genet., 4:8-9.10. Miller, W.L., and Morel, Y. (1989): Ann. Rev. Genet., 23:371-393.11. Morris, M.A., Nichols, W., and Benson, M. (1991): Am. J. Med. Genet., 39:123-124.12. Saiki, R.K., Scharf, S., Faloona, F., Mullis, K.B., Horn, G.T., Erlich, H.A., and Arnheim, N.
Diagnosis of Diseases Caused by Protozoa and Helminths - In order to supplement the conventional methods available for diagnosis, of different diseases, biotechnology has provided monoclonal antibodies and DNA probes as two very effective and most sensitive tools. Monoclonal antibodies and DNA probes are being prepared and made available for the diagnosis of a variety of diseases.
Monoclonal antibodies can be used through serological tests, which will take only minutes, while the conventional methods may sometimes take weeks, since they may require culturing of bacteria or viruses as in case of herpes virus or other viruses.
Similarly, DNA probes, which are even more sensitive than monoclonal antibodies, will, however, take hours (not minutes as in monoclonal antibodies) instead of weeks. Readymade DNA probes for herpes virus and other human, animal and plant viruses are being prepared. DNA probe kits are also available to help preparation of DNA probes and a market of DNA probes for several hundred million dollars (> $500,000,000) per year is now available. This market will expand and grow in future.
The diagnostic methods at the DNA level have the advantage over other methods, since in these methods genes of the parasite are examined and not the expressed product which changes in different stages of the life cycle of the parasite and also due to the environment.
Rapid progress in recent years has been made in the development of nucleic acid based assays for the diagnosis and epidemiological surveillance of human parasites. Probes are now available for a number of human parasites from the group Protozoa and Helminths (both Platyhelminths and Nematyhelminths).
In India also, recently (1986) a diagnostic probe for the detection of malaria has been constructed at the Astra Research Centre India (ARCI), which is established as a joint venture between India and AB Astra, Sweden, (inaugurated by Prime Minister, Rajiv Gandhi on Jan. 7, 1987). Methods for the detection of several other diseases are also being developed at this centre.
In the above use of DNA probes, DNA has to be radioactively labeled, which is not very safe in field study. Therefore, techniques for non radioactive labelling of probes, methods for quick preparation of target DNA and suitable protocols for hybridization are being developed. This in future will allow quick diagnosis of parasites in the field.
Overview of diagnostic methods
In general, diagnostic tests can be grouped into 3 categories.: (1) direct detection, (2) indirect examination (virus isolation), and (3) serology. In direct examination, the clinical specimen is examined directly for the presence of virus particles, virus antigen or viral nucleic acids. In indirect examination, the specimen into cell culture, eggs or animals in an attempt to grow the virus: this is called virus isolation. Serology actually constitute by far the bulk of the work of any virology laboratory. A serological diagnosis can be made by the detection of rising titres of antibody between acute and convalescent stages of infection, or the detection of IgM. In general, the majority of common viral infections can be diagnosed by serology. The specimen used for direction detection and virus isolation is very important. A positive result from the site of disease would be of much greater diagnostic significance than those from other sites. For example, in the case of herpes simplex encephalitis, a positive result from the CSF or the brain would be much greater significance than a positive result from an oral ulcer, since reactivation of oral herpes is common during times of stress.
1. Direct Examination of Specimen
1. Electron Microscopy morphology / immune electron microscopy2. Light microscopy histological appearance - e.g. inclusion bodies3. Antigen detection immunofluorescence, ELISA etc.4. Molecular techniques for the direct detection of viral genomes
2. Indirect Examination
1. Cell Culture - cytopathic effect, haemadsorption, confirmation by neutralization, interference, immunofluorescence etc.
2. Eggs pocks on CAM - haemagglutination, inclusion bodies3. Animals disease or death confirmation by neutralization
3. Serology
Detection of rising titres of antibody between acute and convalescent stages of infection, or the detection of IgM in primary infection.
Direct examination methods are often also called rapid diagnostic methods because they can usually give a result either within the same or the next day. This is extremely useful in cases when the clinical management of the patient depends greatly on the rapid availability of laboratory results e.g. diagnosis of RSV infection in neonates, or severe CMV infections in immunocompromised patients. However, it is important to realize that not all direct examination methods are rapid, and conversely, virus isolation and serological methods may sometimes give a rapid result. With the advent of effective antiviral chemotherapy, rapid diagnostic methods are expected to play an increasingly important role in the diagnosis of viral infections.
1.1. Antigen Detection
Examples of antigen detection include immunofluorescence testing of nasopharyngeal aspirates for respiratory viruses e.g.. RSV, flu A, flu B, and adenoviruses, detection of rotavirus antigen in faeces, the pp65 CMV antigenaemia test, the detection of HSV and VZV in skin scrappings, and the detection of HBsAg in serum. (However, the latter is usually considered as a serological test). The main advantage of these assays is that they are rapid to perform with the result being available within a few hours. However, the technique is often tedious and time consuming, the result difficult to read and interpret, and the sensitivity and specificity poor. The quality of the specimen obtained is of utmost importance in order for the test to work properly.
(Virology Laboratory, Yale-New Haven Hospital)
1.2. Electron Microscopy (EM)
Virus particles are detected and identified on the basis of morphology. A magnification of around 50,000 is normally used. EM is now mainly used for the diagnosis of viral gastroenteritis by detecting viruses in faeces e.g. rotavirus, adenovirus, astrovirus, calicivirus and Norwalk-like viruses. Occasionally it may be used for the detection of viruses in vesicles and other skin lesions, such as herpesviruses and papillomaviruses. The sensitivity and specificity of EM may be enhanced by immune electron microscopy, whereby virus specific antibody is used to agglutinate virus particles together and thus making them easier to recognize, or to capture virus particles onto the EM grid. The main problem with EM is the expense involved in purchasing and maintaining the facility. In addition, the sensitivity of EM is often poor, with at least 105 to 106 virus particles per ml in the sample required for visualisation. Therefore the observer must be highly skilled. With the availability of reliable antigen detection and molecular methods for the detection of viruses associated with viral gastroenteritis, EM is becoming less and less widely used.
Electronmicrographs of viruses commonly found in stool specimens from patients suffering from gastroenteritis. From left to right: rotavirus, adenovirus, astroviruses, Norwalk-like viruses. (Courtesy of Linda M. Stannard, University of Cape Town, http://www.uct.ac.za/depts/mmi/stannard/emimages.html)
1.3. Light Microscopy
Replicating virus often produce histological changes in infected cells. These changes may be characteristic or non-specific. Viral inclusion bodies are basically collections of replicating virus particles either in the nucleus or cytoplasm. Examples of inclusion bodies include the negri bodies and cytomegalic inclusion bodies found in rabies and CMV infections respectively. Although not sensitive or specific, histology nevertheless serves as a useful adjunct in the diagnosis of certain viral infections.
1.4.Viral Genome Detection
Methods based on the detection of viral genome are also commonly known as molecular methods. It is often said that molecular methods is the future direction of viral diagnosis. However in practice, although the use of these methods is indeed increasing, the role played by molecular methods in a routine diagnostic virus
laboratory is still small compared to conventional methods. It is certain though that the role of molecular methods will increase rapidly in the near future.Classical molecular techniques such as dot-blot and Southern-blot depend on the use of specific DNA/RNA probes for hybridization. The specificity of the reaction depends on the conditions used for hybridization. These techniques may allow for the quantification of DNA/RNA present in the specimen. However, it is often found that the sensitivity of these techniques is not better than conventional viral diagnostic methods.
Newer molecular techniques such as the polymerase chain reaction (PCR), ligase chain reaction (LCR), nucleic acid based amplification (NASBA), and branched DNA (bDNA) depend on some form of amplification, either the target nucleic acid, or the signal itself. bDNA is essentially a conventional hybridization technique with increased sensitivity. However, it is not as sensitive as PCR and other amplification techniques. PCR is the only amplification technique which is in common use. PCR is an extremely sensitive technique: it is possible to achieve a sensitivity of down to 1 DNA molecule in a clinical specimen. However, PCR has many problems, the chief among which is contamination, since only a minute amount of contamination is needed to give a false positive result. In addition, because PCR is so sensitive compared to other techniques, a positive PCR result is often very difficult to interpret as it does not necessarily indicate the presence of disease. This problem is particular great in the case of latent viruses such as CMV, since latent CMV genomes may be amplified from the blood of healthy individuals. Despite all this, PCR is being increasingly used for viral diagnosis, especially as the cost of the assay come down and the availability of closed automated systems that could also perform quantification (Quantitative PCR) e.g. real-time PCR and Cobas Amplicor.systems. Other amplification techniques such as LCR and NASBA are just as susceptible to contamination as PCR but that is ameliorated to a great extent by the use of propriatory closed systems. It is unlikely though that other amplification techniques will challenge the dominance of PCR since it is much easier to set up an house PCR assay than other assays.
2. Virus Isolation
Cell cultures, eggs, and animals may be used for isolation. However eggs and animals are difficult to handle and most viral diagnostic laboratories depend on cell culture only. There are 3 types of cell cultures:
2.1. Types of cell cultures
1. Primary cells - e.g. Monkey Kidney. These are essentially normal cells obtained from freshly killed adult animals. These cells can only be passaged once or twice.
2. Semi-continuous cells - e.g. Human embryonic kidney and skin fibroblasts. These are cells taken from embryonic tissue, and may be passaged up to 50 times.
3. Continuous cells - e.g. HeLa, Vero, Hep2, LLC-MK2, BGM. These are immortalized cells i.e. tumour cell lines and may be passaged indefinitely.
Primary cell culture are widely acknowledged as the best cell culture systems available since they support the widest range of viruses. However, they are very expensive and it is often difficult to obtain a reliable supply. Continuous cells are the most easy to handle but the range of viruses supported is often limited.
2.2. Identification of growing virus
The presence of growing virus is usually detected by:
1. Cytopathic Effect (CPE) - may be specific or non-specific e.g. HSV and CMV produces a specific CPE, whereas enteroviruses do not.
2. Haemadsorption - cells acquire the ability to stick to mammalian red blood cells. Haemadsorption is mainly used for the detection of influenza and parainfluenzaviruses.
Confirmation of the identity of the virus may be carried out using neutralization, haemadsorption- inhibition, immunofluorescence, or molecular tests.
Left to Right: Cytopathic effect of HSV, enterovirus 71, and RSV in cell culture. Note the ballooning of cells in the cases of HSV and enterovirus 71. Note syncytia formation in the case of RSV. (Linda Stannard. University of Cape Town, Virology Laboratory, Yale-New Haven Hospital)
The main problem with cell culture is the long period (up to 4 weeks) required for a result to be available. Also, the sensitivity is often poor and depends on many factors, such as the condition of the specimen, and the condition of the cell sheet. Cell cultures are also very susceptible to bacterial contamination and toxic substances in the specimen. Lastly, many viruses will not grow in cell culture at all e.g. Hepatitis B and C, Diarrhoeal viruses, parvovirus etc.
2.4 Rapid Culture Techniques
Rapid culture techniques are available whereby viral antigens are detected 2 to 4 days after inoculation. Examples of rapid culture techniques include shell vial cultures and the CMV DEAFF test. In the CMV DEAFF test, the cell sheet is grown on individual cover slips in a plastic bottle. After inoculation, the bottle then is spun at a low speed for one hour (to speed up the adsorption of the virus) and then incubated for 2 to 4 days. The cover slip is then taken out and examined for the presence of CMV early antigens by immunofluorescence.
Left: Haemadsorption of red blood cells onto the surface of a cell sheet infected by mumps virus. Also note the presence of syncytia which is indistinguishable from that of RSV (Courtesy of Linda Stannard, University of Cape Town). Right: Positive CMV DEAFF test. (Virology Laboratory, Yale-New Haven Hospital)
The role of cell culture (both conventional and rapid techniques) in the diagnosis of viral infections is being increasingly challenged by rapid diagnostic methods i.e. antigen detection and molecular methods. Therefore, the role of cell culture is expected to decline in future and is likely to be restricted to large central laboratories.
3. Serology
Serology forms the mainstay of viral diagnosis. This is what happens in a primary humoral immune response to antigen. Following exposure, the first antibody to appear is IgM, which is followed by a much higher titre of IgG. In cases of
reinfection, the level of specific IgM either remain the same or rises slightly. But IgG shoots up rapidly and far more earlier than in a primary infection. Many different types of serological tests are available. With some assays such as EIA and RIA, one can look specifically for IgM or IgG, whereas with other assays such as CFT and HAI, one can only detect total antibody, which comprises mainly IgG. Some of these tests are much more sensitive than others: EIAs and radioimmunoassays are the most sensitive tests available, whereas CFT and HAI tests are not so sensitive. Newer techniques such as EIAs offer better sensitivity, specificity and reproducibility than classical techniques such as CFT and HAI. The sensitivity and specificity of the assays depend greatly on the antigen used. Assays that use recombinant protein or synthetic peptide antigens tend to be more specific than those using whole or disrupted virus particles.
3.1. Criteria for diagnosing Primary Infection
1. A significant rise in titre of IgG/total antibody between acute and convalescent sera - however, a significant rise is very difficult to define and depends greatly on the assay used. In the case of CFT and HAI, it is normally taken as a four-fold or greater increase in titre. The main problem is that diagnosis is usually retrospective because by the time the convalescent serum is taken, the patient had probably recovered.
2. Presence of IgM - EIA, RIA, and IF may be are used for the detection of IgM. This offers a rapid means of diagnosis. However, there are many problems with IgM assays, such as interference by rheumatoid factor, re-infection by the virus, and unexplained persistence of IgM years after the primary infection.
3. Seroconversion - this is defined as changing from a previously antibody negative state to a positive state e.g. seroconversion against HIV following a needle-stick injury, or against rubella following contact with a known case.
4. A single high titre of IgG (or total antibody) - this is a very unreliable means of serological diagnosis since the cut-off is very difficult to define.
3.2. Criteria for diagnosing re-infection/re-activation
It is often very difficult to differentiate re-infection/re-activation from a primary infection. Under most circumstances, it is not important to differentiate between a primary infection and re-infection. However, it is very important under certain situations, such as rubella infection in the first trimester of pregnancy: primary infection is associated with a high risk of fetal damage whereas re-infection is not. In general, a sharp large rise in antibody titres is found in re-infection whereas IgM is usually low or absent in cases of re-infection/re-activation.
Serological events following primary infection and reinfection. Note that in reinfection, IgM may be absent or only present transiently at a low level.
3.3. Limitations of serological diagnosis
How useful a serological result is depends on the individual virus.
1. For viruses such as rubella and hepatitis A, the onset of clinical symptoms coincide with the development of antibodies. The detection of IgM or rising titres of IgG in the serum of the patient would indicate active disease.
2. However, many viruses often produce clinical disease before the appearance of antibodies such as respiratory and diarrhoeal viruses. So in this case, any serological diagnosis would be retrospective and therefore will not be that useful.
3. There are also viruses which produce clinical disease months or years after seroconversion e.g. HIV and rabies. In the case of these viruses, the mere presence of antibody is sufficient to make a definitive diagnosis.
There are a number of problems associated with serology:-
1. long length of time required for diagnosis for paired acute and convalescent sera
2. mild local infections such as HSV genitalis may not produce a detectable humoral immune response
3. Extensive antigenic cross-reactivity between related viruses e.g. HSV and VZV, Japanese B encephalitis and Dengue, may lead to false positive results
4. immunocompromised patients often give a reduced or absent humoral immune response.
5. Patients with infectious mononucleosis and those with connective tissue diseases such as SLE may react non-specifically giving a false positive result
6. Patients given blood or blood products may give a false positive result due to the transfer of antibody.
Complement Fixation Test in Microtiter Plate. Rows 1 and 2 exhibit complement fixation obtained with acute and convalescent phase serum specimens, respectively. (2-fold serum dilutions were used) The observed 4-fold increase is significant and indicates infection.
Microplate ELISA: coloured wells indicate reactivity. The darker the colour, the higher the reactivity
3.4. Antibody in the CSF
In a healthy person, there should be little or no antibodies in the CSF. Where there is a viral meningitis or encephalitis, antibodies may be produced against the virus
by lymphocytes in the CSF. The finding of antibodies in the CSF is said to be significant when ratio between the titre of antibody in the serum and that in the CSF is less than 100. But this does depend on an intact blood-brain barrier. The problem is that in many cases of meningitis and encephalitis, the blood-brain barrier is damaged, so that antibodies in the serum can actually leak across into the CSF. This also happens where the lumbar puncture was traumatic in which case the spinal fluid would be bloodstained. So really, one should really check the integrity of the blood-brain barrier before making a definite diagnosis. One way to check the integrity of the blood brain barrier is to use a surrogate antibody that most individuals would have, such as measles virus, since most people would have been vaccinated. So the patient's serum and CSF for measles antibody. If the blood-brain barrier is intact, there should be little or no measles antibodies in the CSF.
Computer-Aided Differential Diagnosis of Diseases A...N Difficult to Differentiate
Mark D.Kats, doctor of science, Donetskaya St. 37/24, Severodonetsk, Lugansk region, 349940 Ukraine, tel.: (380-6452)-3-08-75, E-mail: [email protected] (Kats M.D.).
Attachment to the project:
"DEVELOPMENT OF INTELLIGENT SYSTEM FOR COMPUTER-AIDED DIFFERENTIAL DIAGNOSIS OF DISEASES A...N DIFFICULT TO DIFFERENTIATE".
We propose MEDICAL INSTITUTIONS to take part in development of intelligent systems which have no analogues worldwide enabling to carry out reliable differential diagnosis of each disease using mathematic models describing a great number of diseases under study which symptoms are similar.
PROGRAM OF WORKS ON DEVELOPMENT OF INTELLIGENT SYSTEM FOR COMPUTER-AIDED DIFFERENTIAL DIAGNOSIS WITHIN GROUP OF DISEASES A...N DIFFICULT TO DIFFERENTIATE.
1. Analysis of the problem status
Diagnosis is and will be the most important problem of medicine, and the accuracy of diagnosis achieved in certain historical periods determines mainly the state-of-the-art in medical science.
While examining a patient in modern diagnosis centers (anamnesis, physical examination, laboratory and instrument methods data, clinical data, etc.) a very large scope of initial data (more than 300 characteristics being measured mainly using numeral scales) is collected. If each of these characteristics is measured only using the most simple name-scales ("yes-no", "more-less") the quantity of initial data will make 2 bits to 300th power which is substantially higher than the number of elemental particles in all visible Universe.
As the human body is very complicated and it is characterized by practically infinite number of disease symptoms, symptoms and clinic of a disease are greatly influenced by the individual features of a patient and knowledge of specialists is limited, medical diagnosis, nowadays, is not a science but rather an art of a few highly qualified professionals.
After computers appeared and applied mathematics is developed, works related to attempts to formalize the diagnosis process using mathematical models boomed. The results of these works mainly did not come up to expectations and rare successes are connected either with relative simplicity of the problem (to differentiate diseases sufficiently remote from each other in the symptoms space) or with its inadequate simplification. As a result, at best models diagnosing a disease not worse than an average doctor appeared.
Principal difficulties in simulation of "large" systems (to which medical diagnosis systems also belong) made it necessary to look for roundabout ways. One of these ways being developed intensively at present is the creation of expert medical systems. An expert system is a computer system which incorporates formalized knowledge of specialists in a certain concrete subject and is able to take expert decisions within this subject (to solve problems in such a way as a man-expert would do it).
Efficiency of operation of the expert system depends in the first place on quantity and quality of the information available in its knowledge base. This is a weak point of expert systems because (1) knowledge base is formed on the basis of subjective ideas of experts whose knowledge is limited and (2) specialists are not able to formalize their knowledge as clear rules; moreover, many of them are not aware, on the whole , what rules they follow.
After much money has been spent for development of a great number of various medical expert systems and objective analysis of their efficiency has been carried out, it will appear the same as known a priori, from the definition:
- When solving relatively simple problems of differential diagnosis (those which are successfully solved by specialists using non-formalized approaches), accuracy of diagnosis achieved by means of expert systems and an expert will be close and sufficient.
- But when solving the most important and complicated problems of differential diagnosis, namely when differentiating diseases which are similar as to symptoms; prognosing progress of disease (for instance, acute myocardial infarction complications ), long-term consequences of surgical interference depending on selected type of operation; in case of early diagnosis (including the latent period) of chronic diseases with a prognosis unfavorable for the life (oncological diseases, chronic nephrism), etc., accuracy of diagnosis achievable by means of experts systems and expert will be close and substantially insufficient.
2. TAKEN DEFINITIONS AND FORMULATIONS OF DIFFERENTIAL DIAGNOSIS PROBLEMS
Quite a good progress in medical diagnosis and its conversion from intuitive art of a few talented professionals into a strict science with high level of formalization can be achieved only by transfer from the use of subjective diagnosis information provided by experts to objective information concerning dependence of diagnosis on individual characteristics of a patient and symptom values that are generated using methods provided by artificial intelligence.
There is a certain analogy between medical diagnosis and technical diagnosis. Notwithstanding that technical diagnosis problems are substantially less complex, their solution without use of mathematical models on the basis of paradigm adopted in the science at present is considered as not only incorrect but even indecent.
Under artificial intelligence we understand algorithm allowing to construct informative mathematical model of the object (system) under study carrying essential scope of new, untrivial information unknown before about relations between input and output variables of the object under study, on the basis of the table of experimental data describing behavior of the object (system) of any physical nature without additional a priori information about the structure of a model provided by an expert (specialist in this field) using only formalized procedures.
As applied to medical diagnosis, artificial intelligence allows to obtain for each of disease being differentiated a set of differential syndromes inherent only to a certain disease, many of them unknown before.
Under formal differential diagnosis we understand a formalized procedure (including also using computer) enabling to reliably differentiate each disease from the group of diseases similar as to symptoms using appropriate mathematical models.
On the basis of this definition differential diagnosis problems can be as follows:
- differential diagnosis within the group of diseases similar as to symptoms;
- prognosis of disease progress and outcome;
- early diagnosis of diseases dangerous for the life (for instance, cancerous disease in the latent period).
Taking into account the definitions taken the problem of differential diagnosis model construction can be presented as the following mathematical formulation.
GIVEN: Table of experimental data M=XxY (X={Xij}, i=1,m, j=1,n; Y={Yil}, i = 1, m, l=1,k) , each line of which contains information about symptoms values (Xij) and verified diagnosis Yil for the i-th patient. (Here m is a number of lines (patients) in table M, n is a number of columns (symptoms) in table M, K is a number of diseases to be differentiated.)
IT IS NECESSARY: to construct a mathematical model consisting of K of disjunctions of differential syndromes, each disjunction containing differential syndromes of only one of K of diseases to be differentiated on the basis of the table M by means of formalized procedures.
3. SOLUTION METHODS OF FORMAL DIFFERENTIAL DIAGNOSIS PROBLEMS
If a table, each line of which contains symptoms values and verified diagnosis for one patient, has been obtained on the basis of the examination results, and all observed patients belong to a set of diseases difficult to differentiate from each other, being studied, a mathematical model of differential diagnosis can be constructed using a new mathematical simulation method called mosaic portrait.
The essence of the method consists in realization of the following formalized procedures:
a) transformation of initial experimental data table M to table M' using formalized split of range of values of each symptom into subranges ( transfer from continual scales used for measurement of symptoms to discrete ones). In this case a specific code is applied to each subrange of values of each symptom;
b) search of codes combinations which can be found in table M' in lines belonging to one disease and not found in any line with other diseases.
These combinations are interpreted as differential syndromes of a corresponding disease. The mosaic model obtained in such a way consists of K of disjunctions, each containing differential syndromes of one of K of diseases to be differentiated. Number of differential syndromes is very large and most of them are new, untrivial, unknown before in the medical science.
Well-known methods of realization as per paragraph b require complete search for all possible combinations of subranges of values of all symptoms and belong to so called NP-problems. Computer time required for the solution of such problems depends exponentially on the number of input variables.
When the number of symptoms is more than 15 these problems are practically insoluble.
Using the mosaic portrait method, it is possible to solve problems with dimensionality of the order of 1000 input variables for acceptable time period.
4. NEW POSSIBILITIES WHEN USING MOSAIC PORTRAIT METHOD FOR SOLUTION OF MEDICAL PROBLEMS
Use of the mosaic portrait method allows to solve a number of critical problems of medicine solution of which by means of well-known methods caused serious and mostly irresoluble methodical and computing difficulties.
These problems include:
- formal differential diagnosis of diseases similar as to symptoms;
- formal prognosis of disease progress and outcome alternatives;
- formal selection of one case from a set of alternative surgical interferences on the basis of criteria of long-term consequences;
- early (or even in the latent period) diagnosis of chronic diseases with the prognosis dangerous for the life (oncological diseases, etc.);
- preliminary screening based on data of mass preventive examinations;
- construction of informative mathematical models using the table of experimental data resulting from any medical examination.
High self-descriptiveness of mosaic models allows to substantially increase the accuracy of differential diagnosis, to substantially reduce its cost and load on a patient by excluding invasive and low-informative diagnostic procedures, to formalize diagnosis procedure and to realize it by computer.
5. EXAMPLES OF PRACTICAL USE OF NEW METHODS OF DIFFERENTIAL DIAGNOSIS
At present there is a large experience in using the mosaic portrait method for construction of models of differential diagnosis of diseases difficult to differentiate and their practical use for formal diagnosis and disease outcome prognosis.
A prognosis method of myocardial infarction complications at the acute phase has been developed in collaboration with Military Medical Academy (Saint-Petersburg) [1,2].
Differential syndromes typical for each of consequences of myocardial infarction have been obtained on the basis of experimental data containing information about patients who died of infarction complications (cardiogenic shock, perfusion insufficiency, ventricular fibrillation, cardiac rupture) and had infarction without consequences. Namely these syndromes were used for diagnosis. Method of myocardial infarction consequences prognosis was adopted at Military Medical Academy (Saint-Petersburg), 23th hospital (Moscow), 20th hospital and 42nd polyclinic (Saint-Petersburg). 80-88% of prognosis have been verified by clinical data and in case of lethal outcome by results of pathologicoanatomic investigation. As a result of preventive treatment based on prognosis data rate of death of large-nidus infarction reduced by 36.8% and of small-nidus infarction by 45.1%.
Based on the results of this work, a software package for realization of an intelligent system and called "prognosis of myocardial infarction complications at acute phase" was developed.
Initial information about the state of a patient including anamnesis, examination data, electric cardiography data (total 39 indicants) is entered by keystroke in the question-answer mode.
The following problems are solved by this package:
- prognosis of one or several possible myocardial infarction complications according to the information about patient state collected at the first day of his stay in a hospital;
- in case of prognosis of several complications , the probability of realization of each of them;
- recommendations on preventive therapy of a complication (complications) being prognosticated and corresponding symptoms-eliminating therapy taking into account compatibility of medicines and treatments;
- every two days - a new prognosis corrected on the basis of treatment results and recommendations on preventive and symptoms-eliminating therapy corresponding to this prognosis;
- on inquiry, displaying of information concerning differential syndromes on which basis the prognosis was done;
- input of information about the patient, complications prognosis, syndromes, on which basis the prognosis was done, and recommended treatment into the data base.
A simple (without gastroscopy) and express method of differential diagnosis "gastric ulcer - gastric cancer" with accuracy of 96.4 % has been developed and put into practice in collaboration with Military and Medical Academy.
Based on the results of this work, a software package for realization of an intelligent system and called "DIFFERENTIAL DIAGNOSIS GASTRIC ULCER - GASTRIC CANCER" was developed.
Method of differential diagnosis of various pathogenesis ("shock lung", aspiration, atelectasis, toxic-septic, hypostatic and bronchial pneumonia ) for burnt patients which ensures early (1-2 days of progress) diagnosis, allows to differentiate the therapy and increase the efficiency of treatment was developed in cooperation with Kharkov Burn Centre [3,4].
On the basis of the results of this work, a software package for realization of intelligent system and called "DIFFERENTIAL DIAGNOSIS of pathogenesis of PNEUMONIA FOR burnT patients" was developed.
Reliable and express methods of differential diagnosis "2nd phase of hypertensive disease - chronic diffuse glomerulonephritis with hypertension" and chronic glomerulo-pyelonephritis" was developed and put into practice in collaboration with Military Medical Academy on the basis of biomicroscopy of bulbar conjunctiva.
6. MAIN TASKS AND FINAL GOAL OF THE WORK
The main task of the work is the creation of an efficient intelligent system having no analogues in the world practice, realized at computer and enabling to carry out correct computer-aided diagnosis within the group of diseases difficult to differentiate using formalized procedures.
The depth of the medical diagnosis system created will be constantly increasing: diagnosis accuracy will become higher due to feedback - model after-education based on reliably verified errors of formal diagnosis.
After development and patenting the intelligent differential diagnosis system will be represented as a final commercial product being PC software package.
As practically all EXPERT SYSTEMS AND INTELLIGENT SYSTEMS well-known as on today, allowing to obtain knowledge using the mosaic portrait method use the same language of algebra of logic, according to which any hypothesis is formulated as proposition "if..... then..." and the expert systems accumulate (or must do it) all well-known knowledge in this field, then in case of expert and intelligent systems created for the same field their intersection (common hypotheses) is an a priori known, trivial information; logic difference between propositions of expert and intelligent systems - misinformation (false information); logic difference between propositions of intelligent and expert systems - new, untrivial information unknown for the specialists in this field.
There is just the reason why intelligent medical systems can replace expert systems in the intelligent medical products market.
7. Program of works
Formal differential diagnosis models can be developed in collaboration with any medical institution (research institute, university, diagnostic center, hospital, etc.):
- specialized in studying (treating) of certain diseases;
- having qualified specialists and up-to-date diagnosis equipment for correct diagnosis verification;
- having archival materials or possibility to examine not less than 60 patient as to each disease of the group of diseases to be differentiated during acceptable time period (up to one year).
7.1 More precise definition of the problem. Required experimental data collection
7.1.1 Finalizing of the list of nosologic units to be differentiated.
7.1.2 Making of the list of input variables which can be used potentially to solve the problem. (This list must be surplus i.e. contain not only well-known variables selection of which is substantiated by positive experience of differential diagnosis of diseases being studied, but also other variables which are included on the basis of intuitive ideas of specialists.
7.1.3 Development of formalized history - unified form containing list of symptoms determined as per paragraph 7.1.2.
7.1.4 Determining of minimum required and sufficient scope of experimental studies to solve the problem of differential diagnosis and choose optimum treatment taking into account individual features of a patient.
7.1.5 Purposeful examination of patients suffering from diseases as per paragraph7.1.1; organizing of correct verification of diagnosis within the group of diseases under study; recording of results of examination using the unified form (see paragraph 7.1.3).
7.1.6 Collection of experimental data is finished by a table each line of which contains information about symptoms and verified diagnosis for one patient.
7.2 DEVELOPMENT OF INTELLIGENT COMPUTER SYSTEM PROPER CONSISTS OF THE FOLLOWING STAGES:
7.2.1 Construction of mathematical models of differential diagnosis on the basis of table of experimental data (see paragraph 7.1.6).
7.2.2 Minimization of the models as per paragraph 7.2.1.
7.2.3 Evaluation of adequacy of differential diagnosis models using new experimental data.
7.2.4 Repetition of paragraphs 7.2.1 and 7.2.2 using experimental data including the initial table as per paragraph 7.1.6 and the table used to evaluate adequacy of the model (paragraph 7.2.3).
7.2.5 Creation of intelligent medical system for development of software package providing the solution of the problem stated.
7.3 Constant after education of the system
As the errors are not excluded in the diagnosis on the basis of initial experimental data used for construction of a model the errors are also possible in case of formal differential diagnosis. It is found out experimentally that percentage of diagnosis errors in the initial data (accuracy of diagnosis achieved in a medical institution whose experimental data was used) and when using the model agree practically. After education of the model on the basis of additional experimental data recording actual errors of formal diagnosis will enable to construct the next version of the model ensuring diagnosis with less percentage of errors than made by specialists.
7.3.1 Development of formalized procedure of self-improvement of the system-after education of the models using reliably verified errors of formal diagnosis.
7.3.2 Collection of information about actual cases of inaccurate differential diagnosis at medical institutions participating in the development of the system.
7.3.3 Correction of the models and software package using information about actual cases of inaccurate diagnosis. (Sequential development of new, more precise versions of the system).
7.4 PATENTING OF INTELLIGENT MEDICAL SYSTEM
The models obtained by mosaic portrait methods contain a great number of new, unknown in the medical science differential syndromes for each of diseases to be differentiated which will allow to patent the corresponding system.
8. COMMERCIALIZATION OF THE SYSTEM
Arrangement of advertising campaign:
- development of demonstration disks;
- publications in medical journals, papers and presentations of demonstration versions at scientific conferences, delivery of advertising materials to practical medicine institutions, etc..
8.2 Commercialization of the system
References:
1. G.M.Yakovlev, V.N.Ardashev, M.D.Kats, T.A.Galkina. Mosaic portrait method in the myocardial infarction prognostication. Cardiology, 1981, No.6
2. Prognosis of outcome and complications of acute myocardial infarction (edited by V.P.Malygina). Moscow, Voyenizdat, 1987, p.128.
3. L.M.Tsogoeva, D.E.Pekarsky, S.F.Kudrya, M.D.Kats. Mosaic portrait method in differential diagnosis of pneumonia for burned patients. Clinic surgery, 1991, No.3.
4. L.M.Tsogoeva. Differential diagnosis and peculiarities of treatment of various forms of pneumonia for burned patients. Abstract of candidate thesis, Kharkov, 1991.
5. V.S.Zaitsev. Microcirculation state and rheologic properties of blood in case of hypertensive disease, chronic glomerulo- and pyelonephritis. Abstract of candidate thesis. Leningrad, 1984.
Information supplied by the Author December 1998. Page last updated: January 19, 2004