Control of Listeria monocytogenes in Ready-to-Eat Foods: Draft Guidance Mickey Parish, Ph.D. Senior Science Advisor FDA CFSAN
Control of Listeria monocytogenes in Ready-to-Eat Foods: Draft Guidance
Mickey Parish, Ph.D. Senior Science Advisor
FDA CFSAN
3 www.fda.gov
Lm Time Points
• “Zero tolerance” established by FDA and USDA in 1986. Published in 1996 Food Control journal
• 2003 FDA/FSIS risk assessment • 2004 FAO/WHO risk assessment • 2008 FDA draft guidance documents • 2011 JIFSAN-IRAC workshop on dose-response • Notable outbreaks (produce and dairy) • Ice cream prevalence and enumeration studies • 2015 dose-response study • 2015 FDA Food Advisory Committee meeting • 2017 FDA new draft guidance document
4
Key Point from 2015 FAC Meeting
www.fda.gov
Based on knowledge gained from recent outbreaks (e.g., ice cream) and the 2015 dose-response evaluation, FDA remains uncertain that the 100/gram standard for foods that do not support growth provides an appropriate level of protection for the most vulnerable individuals in the at-risk subpopulations.
5
Ice Cream Prevalence and Enumeration Results
Samples were from seven lots produced in November 2014, December 2014, January 2015, and March 2015. L. monocytogenes detected in 99% (2,307 of 2,320) of samples Geometric mean per lot of L. monocytogenes in these samples: 0.15 to 7.1 MPN/g.
6
Estimated Number of Listeriosis Cases by Dose of Listeria monocytogenes from FDA 2015 Dose-Response Study
Dose of Lm Dose Log10 No. cases
1 0 0
3 0.5 0
10 1 1
32 1.5 1
100 2 1
316 2.5 3
1,000 3 6
3,160 3.5 14
10,000 4 29
31,600 4.5 60
100,000 5 115
316,000 5.5 200
1,000,000 6 308
* Pouillot et al. 2015. Table III. Risk Analysis 35(1):100
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Control of Listeria monocytogenes in Ready-to-Eat Foods: Draft Guidance
• Federal Register / Vol. 82, No. 10 / Tuesday, January 17, 2017
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Applicability
• Guidance intended for those subject to the CGMP & PC rule in 21 CFR part 117.
• Applies to production of RTE foods exposed to the environment prior to packaging where there is no Lm control measure that would significantly minimize Lm
• Replaces the previous draft guidance from 2008
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Disclaimer
• The revised draft guidance, when finalized, will represent the current thinking of FDA on this topic. It does not establish any rights for any person and is not binding on FDA or the public. You can use an alternate approach if it satisfies the requirements of the applicable statutes and regulations.
www.fda.gov
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Background • Listeria monocytogenes (Lm) in foods can cause
listericidal gastroenteritis and a severe, invasive illness (listeriosis) with a relatively high mortality rate.
• Persons at greatest risk: pregnant women and their fetuses, the elderly, and persons with weakened immune systems.
• Foods that have caused outbreaks are typically ready-to-eat (RTE) foods contaminated from the environment during manufacturing/processing.
• The greatest risk for listeriosis is from RTE foods that support growth of Lm.
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Controls
• Controls on personnel
• Design, construction and operation of the plant
• Sanitation
• Controls on raw materials and other ingredients
• Listeristatic formulation controls
• Listericidal process controls
• Storage practices, time/temperature controls
• Transportation
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Goal of an Environmental Monitoring (EM) Program
• Verify the effectiveness of control programs for Lm;
• Find Lm and harborage sites if present in a plant; and
• Ensure that corrective actions have eliminated Lm and harborage sites when found in a plant.
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Well-Designed EM Program
• Should include
– Collecting environmental samples from food contact surfaces (FCSs) and non-FCSs in a plant;
– Testing the collected environmental samples to identify potential sources of contamination; and
– Taking appropriate corrective actions if test results indicate the presence of Listeria spp. or L. monocytogenes in an environmental sample.
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More on Design of the EM Program
• The guidance recommends testing for Listeria spp. to correct situations that could potentially lead to contamination with Lm.
• The guidance recommends testing both FCSs and non-FCSs at each sampling time.
• The guidance recommends collecting environmental samples at a time several hours into production and preferably just before cleanup.
• The guidance acknowledges that finding Listeria spp. is expected.
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Risk-Based Corrective Action Procedures
• Consider:
– Whether the environmental contamination is on an FCS or a non-FCS;
– Whether testing environmental samples results in an isolated positive result or multiple positive results; and
– The proximity of a contaminated non-FCS to FCSs.
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Corrective Action Procedures
• Types of corrective actions are highly varied, depending on the situation but include: – conducting intensified cleaning and sanitizing,
– conducting intensified sampling and testing,
– conducting a root cause analysis, and
– implementing "hold and test" procedures.
• Examples are provided; it is not possible to provide a comprehensive set of corrective actions that apply in all situations.
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Escalating Actions Based on Risk • If Listeria spp. is found during routine sampling:
– Clean and sanitize the area with the positive – Retest during subsequent production cycles – Conduct comprehensive investigation if FCS – Return to routine testing if follow up (retest) samples are
negative
• If follow up testing shows a second positive: – Conduct intensified cleaning and sanitizing (with
disassembly if positive FCS) – Conduct intensified sampling and testing – Begin “hold and test” if FCS positive and product supports
growth (consider for no-growth food) – Conduct comprehensive investigation
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Corrective Actions for Listeria spp. on an FCS
• Guidance describes corrective action procedures that differ based on whether a food supports growth of Lm or not.
• Guidance recommends that for foods that do not support growth, but that are specifically intended for establishments such as hospitals and nursing homes, the corrective actions for foods that support growth be applied.
Continued
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Corrective Actions for Listeria spp. on an FCS (cont.)
• Guidance describes corrective action procedures that specify 3 consecutive days of negative tests before returning to routine sampling and testing.
• Guidance recommends that if follow up testing results in a 3rd FCS-positive for foods that support growth, production be stopped pending consultation with food safety experts
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Comprehensive Investigation for an FCS-Positive
• Examine equipment and area surrounding positive for potential harborage sites
• Review HACCP/Food Safety Plan and its implementation
• Conduct intensive sampling and testing, collecting samples several times during production and testing upstream from the positive site
Continued
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Comprehensive Investigation for FCS-Positive (cont.)
• Check maintenance records
• Interview and observe sanitation, maintenance, and production personnel
• Review production, maintenance, and sanitation procedures
• Review traffic patterns, equipment layout, and adherence to personnel hygiene procedures
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Sampling and Testing Foods
• Could be done to verify supplier control programs
• Could be done for “hold and test” during corrective actions
• Could be done to verify adequacy of Lm controls for an RTE food
• Could be done to satisfy customer request/requirement
Continued
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Sampling and Testing Foods (cont.)
• Guidance recommends that foods be tested for Lm rather than Listeria spp.
• Guidance recommends holding product represented by the food tested (e.g., food lots produced from cleanup to cleanup)
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Corrective Actions for Detection of Lm in RTE food
• Reprocess with a validated listericidal control measure,
• Divert to a use in which the food will not be consumed by humans or animals,
• Send for use in food to be consumed by animals where appropriate, or
• Destroy the lot(s) of RTE food in which L. monocytogenes has been detected
Continued
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Corrective Actions for Detection of Lm in RTE food (cont.)
• Determine whether other lot(s) of food are potentially contaminated with Lm and segregate and hold those lots of food.
• Conduct intensified sampling and testing of FCSs and non-FCSs followed by corrective actions until source of contamination is found and eliminated
• Determine whether any food in commerce would be subject to a recall.
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Analysis of Data for Trends
• Guidance recommends analyzing the data collected through environmental monitoring over time for trends that can help to continuously improve sanitation conditions in the plant by reducing the percentage of overall positive environmental samples in the plant.
• Guidance recommends analyzing product testing data for trends to improve performance and identify the need for corrective actions.
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Trends in EM Indicating Lm is Not Being Controlled
• Increases in positive environmental samples in particular sites or areas;
• Finding Listeria in the same area on multiple but non-consecutive sampling occasions (e.g., positive one week and negative the next, appearing to be isolated positives); and
• An increase in the percentage of overall positive environmental samples in the plant.
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Training
• Guidance recommends providing training in health and hygienic practices specific to control of Lm for all personnel and contractors who enter production and storage areas (e.g., individuals who conduct production, maintenance, quality assurance, quality control, or warehousing operations).
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Please Submit Comments
• Federal eRulemaking Portal: https://www.regulations.gov
• Docket No. FDA–2008–D–0096 (Formerly Docket No. 2007D–0494)
• to ensure that we consider your comment on the draft guidance before we issue the final version, submit comments by July 26, 2017
2006 – Mexican-style Restaurant Chain Shredded lettuce, E. coli O157:H7 2006 – Tomatoes, Salmonella Typhimurium 2006 – Fresh Spinach, E. coli O157:H7 2007 – Pizza, E. coli O157:H7 2007 – Pot Pies, Salmonella I 4,[5],12:i- 2007 – Ground Beef Patties, E. coli O157:H7 2007 – Veggie Flavored Rice and Corn Snack, Salmonella Wandsworth 2007 – Peanut Butter, Salmonella Tennessee 2008 – Raw Produce, Salmonella Saintpaul 2008 – Beef, E. coli O157:H7 2008 – Rice and Wheat Cereals, Salmonella Agona 2008 – Cantaloupes, Salmonella Litchfield 2009 – Beef, E. coli O157:H72009 - Beef, E. coli O157:H7 2009 – Prepackaged Cookie Dough, E. coli O157:H7 2009 – Alfalfa Sprouts, Salmonella Saintpaul 2009 – Peanut Butter, Salmonella Typhimurium 2009 – Pistachios, Salmonella (multiple types) 2010 – Alfalfa Sprouts, Salmonella I 4,[5],12:i- 2010 – Shell Eggs, Salmonella Enteritidis 2010 – Cheese, E. coli O157:H7 2010 – Cheesy Chicken Rice Frozen Entrée, Salmonella Chester 2010 – Frozen Mamey Fruit Pulp, Salmonella Typhi 2010 – Mexican-style Restaurant Chain, Salmonella Hartford & Baildon 2010 – Alfalfa Sprouts, Salmonella Newport 2010 – Shredded Romaine Lettuce, E. coli O157:H7 2010 – Red & Black Pepper/Italian-style Meats, Salmonella Montevideo 2010 – Beef, E. coli O157:H7 2011 – Ground Beef, Salmonella Typhimurium 2011 – Romaine Lettuce, E. coli O157:H7 2011 – Kosher Broiled Chicken Livers, Salmonella Heidelberg 2011 – Turkish Pine Nuts, Salmonella Enteritidis 2011 – Cantaloupe, Listeria monocytogenes 2011 – Ground Turkey, Salmonella Heidelberg
4
2011 – Whole, Fresh Imported Papayas, Salmonella Agona 2011 – Alfalfa and Spicy Sprouts, Salmonella Enteritidis 2011 – Travel to Germany (Fenugreek Sprouts), STEC E. coli O104 2011 – Turkey Burgers, Salmonella Hadar 2011 – Lebanon Bologna, E. coli O157:H7 2011 – Cantaloupe, Salmonella Panama 2011 – Hazelnuts, E. coli O157:H7 2012 – Spinach & Spring Mix, E. coli O157:H7 2012 – Peanut Butter, Salmonella Bredeney 2012 – Ricotta Salata Cheese, Listeria monocytogenes 2012 – Mangoes, Salmonella Bredeney 2012 – Cantaloupe, Salmonella Typhimurium and Newport 2012 – Ground Beef, Salmonella Enteritidis 2012 – Raw Scraped Ground Tuna, Salmonella Bareilly and Nchanga 2012 – Raw Clover Sprouts, E. coli O26 2012 – Mexican-style Restaurant Chain, Salmonella Enteritidis 2013 – Ready-to-Eat Salads, E. coli O157:H7 2013 – Chicken, Salmonella Heidelberg 2013 – Raw Shellfish, Vibrio parahaemolyticus 2013 – Fresh Produce, Cyclospora 2013 – Cheese, Listeriosis 2013 – Pomegranate Seeds, Hepatitis A 2013 – Tahini Sesame Paste, Salmonella Montevideo and Mbandaka 2013 – Cucumbers, Salmonella Saintpaul 2013 – Frozen Food Products, E. coli O121 2013 – Chicken, Salmonella Heidelberg 2013 – Ground Beef, Salmonella Typhimurium 2014 – Cucumbers, Salmonella Newport 2014 – Commercially Produced, Prepackaged Caramel Apples, Listeria monocytogenes 2014 – Bean Sprouts, Salmonella Enteritidis 2014 – Bean Sprouts, Listeria monocytogenes 2014 – Cheese, Listeria monocytogenes 2014 – Cilantro, Cyclospora 2014 – Nut Butter, Salmonella Braenderup 2014 – Organic Sprouted Chia Powder, Salmonella Newport, Hartford & Oranienburg
2014 – Raw Clover Sprouts, E. coli O212 2014 – Ground Beef, E. coli O157:H7 2014 – Dairy Products, Listeria monocytogenes 2014 – Chicken, Salmonella Heidelberg 2014 – Raw Cashew Cheese, Salmonella Stanley 2015 – Raw Sprouted Nut Butter Spreads, Salmonella Paratyphi B variant L(+) tartrate (+) 2015 – Rotisserie Chicken Salad, E. coli O157:H7 2015 – Mexican-style Restaurant Chain, E. coli O26 2015 – Soft Cheeses, Listeria monocytogenes 2015 – Cucumbers, Salmonella Poona 2015 – Pork, Salmonella I 4,[5],12:i- 2015 – Raw, Frozen, Stuffed Chicken Entrees, Salmonella Enteritidis 2015 – Raw, Frozen, Stuffed Chicken Entrees, Salmonella Enteritidis 2015 – Frozen Raw Tuna, Salmonella Weltevreden and Salmonella Paratyphi B variant L(+) tartrate (+) 2015 – Ice Cream, Listeria monocytogenes 2016 – Shell Eggs, Salmonella Oranienburg 2016 – Beef Products, E. coli O157:H7 2016 – Frozen Strawberries, Hepatitis A 2016 – Frozen Scallops, Hepatitis A 2016 – Alfalfa Sprouts, Salmonella Reading and Abony 2016 - Flour, E. coli O121 and O26 2016 – Frozen Vegetables, Listeria monocytogenes 2016 – Raw Milk, Listeria monocytogenes 2016 – Pistachios, Salmonella Montevideo 2016 – Alfalfa Sprouts, E. coli O157 2016 – Alfalfa Sprouts, Salmonella Muenchen and Kentucky 2016 – Organic Shake & Meal Products, Salmonella Virchow 2016 – Packaged Salads, Listeria monocytogenes 2017 – Vulto Creamery Soft Raw Milk Cheese, Listeria monocytogenes 2017 – I.M. Healty SoyNut Butter, E. coli O157:H7
N= 98
2006 – Mexican-style Restaurant Chain Shredded lettuce, E. coli O157:H7 2006 – Tomatoes, Salmonella Typhimurium 2006 – Fresh Spinach, E. coli O157:H7 2007 – Pizza, E. coli O157:H7 2007 – Pot Pies, Salmonella I 4,[5],12:i- 2007 – Ground Beef Patties, E. coli O157:H7 2007 – Veggie Flavored Rice and Corn Snack, Salmonella Wandsworth 2007 – Peanut Butter, Salmonella Tennessee 2008 – Raw Produce, Salmonella Saintpaul 2008 – Beef, E. coli O157:H7 2008 – Rice and Wheat Cereals, Salmonella Agona 2008 – Cantaloupes, Salmonella Litchfield 2009 – Beef, E. coli O157:H72009 - Beef, E. coli O157:H7 2009 – Prepackaged Cookie Dough, E. coli O157:H7 2009 – Alfalfa Sprouts, Salmonella Saintpaul 2009 – Peanut Butter, Salmonella Typhimurium 2009 – Pistachios, Salmonella (multiple types) 2010 – Alfalfa Sprouts, Salmonella I 4,[5],12:i- 2010 – Shell Eggs, Salmonella Enteritidis 2010 – Cheese, E. coli O157:H7 2010 – Cheesy Chicken Rice Frozen Entrée, Salmonella Chester 2010 – Frozen Mamey Fruit Pulp, Salmonella Typhi 2010 – Mexican-style Restaurant Chain, Salmonella Hartford & Baildon 2010 – Alfalfa Sprouts, Salmonella Newport 2010 – Shredded Romaine Lettuce, E. coli O157:H7 2010 – Red & Black Pepper/Italian-style Meats, Salmonella Montevideo 2010 – Beef, E. coli O157:H7 2011 – Ground Beef, Salmonella Typhimurium 2011 – Romaine Lettuce, E. coli O157:H7 2011 – Kosher Broiled Chicken Livers, Salmonella Heidelberg 2011 – Turkish Pine Nuts, Salmonella Enteritidis 2011 – Cantaloupe, Listeria monocytogenes 2011 – Ground Turkey, Salmonella Heidelberg
5
2011 – Whole, Fresh Imported Papayas, Salmonella Agona 2011 – Alfalfa and Spicy Sprouts, Salmonella Enteritidis 2011 – Travel to Germany (Fenugreek Sprouts), STEC E. coli O104 2011 – Turkey Burgers, Salmonella Hadar 2011 – Lebanon Bologna, E. coli O157:H7 2011 – Cantaloupe, Salmonella Panama 2011 – Hazelnuts, E. coli O157:H7 2012 – Spinach & Spring Mix, E. coli O157:H7 2012 – Peanut Butter, Salmonella Bredeney 2012 – Ricotta Salata Cheese, Listeria monocytogenes 2012 – Mangoes, Salmonella Bredeney 2012 – Cantaloupe, Salmonella Typhimurium and Newport 2012 – Ground Beef, Salmonella Enteritidis 2012 – Raw Scraped Ground Tuna, Salmonella Bareilly and Nchanga 2012 – Raw Clover Sprouts, E. coli O26 2012 – Mexican-style Restaurant Chain, Salmonella Enteritidis 2013 – Ready-to-Eat Salads, E. coli O157:H7 2013 – Chicken, Salmonella Heidelberg 2013 – Raw Shellfish, Vibrio parahaemolyticus 2013 – Fresh Produce, Cyclospora 2013 – Cheese, Listeriosis 2013 – Pomegranate Seeds, Hepatitis A 2013 – Tahini Sesame Paste, Salmonella Montevideo and Mbandaka 2013 – Cucumbers, Salmonella Saintpaul 2013 – Frozen Food Products, E. coli O121 2013 – Chicken, Salmonella Heidelberg 2013 – Ground Beef, Salmonella Typhimurium 2014 – Cucumbers, Salmonella Newport 2014 – Commercially Produced, Prepackaged Caramel Apples, Listeria monocytogenes 2014 – Bean Sprouts, Salmonella Enteritidis 2014 – Bean Sprouts, Listeria monocytogenes 2014 – Cheese, Listeria monocytogenes 2014 – Cilantro, Cyclospora 2014 – Nut Butter, Salmonella Braenderup 2014 – Organic Sprouted Chia Powder, Salmonella Newport, Hartford & Oranienburg
2014 – Raw Clover Sprouts, E. coli O212 2014 – Ground Beef, E. coli O157:H7 2014 – Dairy Products, Listeria monocytogenes 2014 – Chicken, Salmonella Heidelberg 2014 – Raw Cashew Cheese, Salmonella Stanley 2015 – Raw Sprouted Nut Butter Spreads, Salmonella Paratyphi B variant L(+) tartrate (+) 2015 – Rotisserie Chicken Salad, E. coli O157:H7 2015 – Mexican-style Restaurant Chain, E. coli O26 2015 – Soft Cheeses, Listeria monocytogenes 2015 – Cucumbers, Salmonella Poona 2015 – Pork, Salmonella I 4,[5],12:i- 2015 – Raw, Frozen, Stuffed Chicken Entrees, Salmonella Enteritidis 2015 – Raw, Frozen, Stuffed Chicken Entrees, Salmonella Enteritidis 2015 – Frozen Raw Tuna, Salmonella Weltevreden and Salmonella Paratyphi B variant L(+) tartrate (+) 2015 – Ice Cream, Listeria monocytogenes 2016 – Shell Eggs, Salmonella Oranienburg 2016 – Beef Products, E. coli O157:H7 2016 – Frozen Strawberries, Hepatitis A 2016 – Frozen Scallops, Hepatitis A 2016 – Alfalfa Sprouts, Salmonella Reading and Abony 2016 - Flour, E. coli O121 and O26 2016 – Frozen Vegetables, Listeria monocytogenes 2016 – Raw Milk, Listeria monocytogenes 2016 – Pistachios, Salmonella Montevideo 2016 – Alfalfa Sprouts, E. coli O157 2016 – Alfalfa Sprouts, Salmonella Muenchen and Kentucky 2016 – Organic Shake & Meal Products, Salmonella Virchow 2016 – Packaged Salads, Listeria monocytogenes 2017 – Vulto Creamery Soft Raw Milk Cheese, Listeria monocytogenes 2017 – I.M. Healty SoyNut Butter, E. coli O157:H7
N= 98
Foodborne outbreak detection is outpacing prevention.
Whole genome sequencing and next-generation sequencing technologies are expected to continue to increase the number of outbreaks which will be detected.
Foodborne outbreak detection is outpacing prevention.
Whole genome sequencing and next-generation sequencing technologies are expected to continue to increase the number of outbreaks which will be detected.
Need more practical application from research
The industry needs to evolve
Listeria monocytogenes Suspects confirmed negative Salmonella Non-pathogenic Listeria species
Note: map has been created for demonstration only and does not reflect any actual or real data
Image Source: National Human Genome Research Institute
WGS provides a very precise DNA fingerprint by determining the order of the bases within the genome of an organism.
Natalie Dyenson, MPH North Carolina Research Campus David H Murdock Core Lab Kannapolis, NC 28081 [email protected] 704-250-3606
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About Crunch Pak • What do we do ? Fresh Cut Apple Slicing
• To give a visual of what Crunch Pak produces each year; if you laid the slices end to end, they would wrap around the world, 2 ½ times, or 63, 604 miles.
• OR, if you take since we started, you could go to the moon and back twice…that’s a lot of apple slices…
• 100 % vertically integrated with organics
• Food Safety Program build based on a USDA CRADA Study
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•Food Safety at Crunch Pak (before recall )
• 3rd Party GFSI Audits
• All raw product is sourced from packing houses with third party GAP audits & SQF Level 2 Certified
• At least 25 audits a year by customer and third parties
• Pass all requisite audits with excellent scores
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Case Study
11/13/2013 • Phone call from WSDA; XSDA sampled 1 bag of 14oz tart, tested positive for
Listeria • Steps under our control/Actions Taken
• Traceback started for affected product
• Identify if we have any raw apples in our inventory from the same lot
• Our listeria sampling results from non-food surface contact areas show negative results for day of manufacture, October 24th day before and day after.
• Complete excessive sanitation and complete excessive Listeria sampling program
before production and during production to identify any weak spot in the system
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Chronology of Events, cont. 11/14/2013
• Crunch Pak starts extensive listeria sampling totaling 135 swabs per day ( before recall
-30 )
• FDA/WSDA teams arrive for onsite inspection and investigation
11/15/2013
• FDA conducted sampling of 34 food surface and non-food contact locations – all
negative
11/16/2013
• WSDA results negative from products sampled from retail • 10 bags with 8 different expiration dates
• CP duplicate samples of retains and WSDA samples are negative • 15 bags same production day including 2 retains from the same bagger MDA found
positive
• Packed 4 minutes before and 58 minutes later from the same bagger /found positive
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Chronology of Events, cont. 11/18/2013
• FDA conducted sampling of 80 food surface and non-food contact locations – all negative
11/19/2013
• A customer of CP under Private Label sends their team visits for audit and composite sampling of food and non-food surface locations – all negative
11/21/2013
• FDA/WSDA concluded investigation and finalized reports
• No official action indicated with their report. There will not be an FDA warning letter sent to us.
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Chronology of Events, cont.
• What does all test (WSDA & CP Finished Product, FDA, Private Label environmental swabs from food and non food surface contact areas) results mean? • Listeria is sporadic
• Listeria is in our environment
• We need to find and control it
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Conclusions to Date (11/23/2013)
Revisit Test Results
• WSDA -10 Finished Products tested
• 8 different pack dates with product coming from different lines
• Crunch Pak 15 Retains matching WSDA samples
• including 2 bags from the bagger
• 4 minutes before
• 58 minutes after
• FDA Test Results
• Food and non food surface contact areas
• 114 Samples
• Before and during production
• Private Label Consultant
• 16 samples
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Conclusions to Date, cont.
• 13 recalls in the USA related to sliced apples since 2009 • At least 1 recall per year related with Sliced Apples
• All L.Mono
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For Cause Investigation • Seek & Destroy Team
• What could have caused recall? Is the system effective to control system
• Raw Product
• Equipment Design
• Sanitation
• Facility Maintenance
• Employee Practices
• False Positive • Sampling and Testing Protocol
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Focus on Prevention and Control
• Supply Chain
• Sanitary Design
• Sanitation
• Employee and Manufacturing Practices Verification through testing:
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Recommendations for other Fresh Cut
suppliers • Raw Apple Supplier Review
• Apple Supplier Environmental Monitoring Program
• Sanitation Program & Sanitary Design
• Apple Supplier Flume System Review and Validation Studies
• Bin preventative maintenance
• Post Harvest Practices
• Use your resources to educate them
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Recommendations for other Fresh Cut
suppliers
• It is worthwhile to consult with Listeria control “experts”
• Experience in meat/seafood industries
• Experts in sanitary design
• Someone who has fought the war on Listeria
• Do not disregard expert recommendations just because they don’t fit your business model
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Recommendations for other Fresh Cut
suppliers
• Ensure your environmental monitoring program is robust
• Design a program based on your process and environment
• Understand “hot spots” in your facility as well as those in other RTE industries
• Previously drains
• What is around it ?
• Aggressive follow up to any positive
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Recommendations for other Fresh Cut
suppliers
• Sanitation is a complex process and should not be taken lightly.
• The entire management team should understand the chemicals and processes that are used and why
• Regular management assessment of sanitation practices are critical
• Make management aware of sanitation metrics
• Remain knowledgeable of next generation sanitation innovations
• Do not allow Listeria to get a foot hold.
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Recommendations for other Fresh Cut
suppliers
• Understand sanitary design of equipment and facility
• Review Niche & Harborage Areas (Top and bottom of Slicers , Inside of Shaker)
• Complete a full assessment of your equipment and facility as part of your HACCP plan
• Remove harborage points and make repairs as needed
• Employ or consult with a sanitary design expert.
Title of Section
Recommendations for other Fresh Cut
suppliers
• Understand sanitary design of equipment and facility
• •Complete a full assessment of your equipment and facility as part of your HACCP plan
• •Remove harborage points and make repairs as needed
• •Employ or consult with a sanitary design expert.
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Recommendations for other Fresh Cut
suppliers
• Food Safety Culture Survey
• Do not underestimate the impact of each employee to control Listeria in the facility
• Regular, repeated training on the importance of Listeria control
• Understand people, equipment, and utensil traffic flow in every part of the facility.
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Items Being Implemented and Addressed
to Prevent Reoccurrence • Process Control Initiatives
• Raw Product Process Control Testing: Testing Indicators
• Environmental Monitoring Program: Daily Listeria Swabs from Non Food Surface Contact Area
• Weekly Slicing Machine Oil/Grease Micro Sampling for APC and Listeria
• Finished Product Testing
National Center for Emerging and Zoonotic Infectious Diseases
Recent Listeriosis Outbreak Investigations and the Growing Impact of Whole Genome Sequencing
Matthew Wise, MPH, PhD
Outbreak Response Team Lead
Outbreak Response and Prevention Branch
Division of Foodborne, Waterborne, and Environmental Diseases
Pre-Conference Workshop: The Latest in Listeria Control
Food Safety Summit, Chicago, IL
May 2017
Listeriosis in the United States: Epidemiology and Clinical Manifestations
1,600 invasive infections estimated to occur annually:
– Nearly all hospitalized
– Resulting in over 250 deaths
Groups at higher risk for infection or serious illness:
– Pregnant women and newborns
– Older adults
– Immunocompromised persons
Infection can cause:
– Miscarriages and stillbirths in pregnant women
– Serious illness or death in newborns
– Sepsis or meningitis in older adults
The Listeria Initiative
Because of the severity of listeriosis, state and local health departments prospectively interview all patients
– Using a standard form
– Whether or not part of an outbreak
Assists outbreak investigations in two major ways
– Early hypothesis generation
– Provides “controls” for case-case analytic methods
Detecting Outbreaks with PulseNet
Subtyping enteric bacteria is essential to identifying highly disseminated outbreaks
PulseNet laboratory network established in 1996
– Over 80 participating laboratories in the US
– 60,000+ isolates subtyped annually
Bacteria collected from ill people undergo DNA “fingerprinting” using pulse-field gel electrophoresis (PFGE)
= Bacteria with the same “fingerprint” are more likely to come from a common source
Conceptual Framework for PFGE Subtyping
Bacterial Genome
Genome “Fragments”
PFGE Patterns
Comparing isolates is analogous to comparing two books based on the number of words in each chapter Other lab workflows needed for serotype, virulence factors, etc.
“Cut” Sites
PFGE and Listeria monocytogenes
573 non-outbreak isolates in PulseNet in 2015:
– 375 PFGE pattern combinations (2 enzyme)
– 21 pattern combinations account for 25% of isolates
WGS Provides a Higher Resolution View of the Bacterial Genome
“Cut” Sites
All Positions
PFGE only gives information at a “cut” site via the banding pattern
WGS has the ability to give us information at nearly every position in the bacterial genome
Comparing isolates is analogous to comparing two books based on all the words in the book
Serotype, virulence, etc. can be identified in one workflow
Whole Genome Sequencing (WGS) Listeria Pilot Project
Started September 2013
Goal: Sequence all Listeria monocytogenes clinical, food, and environmental isolates
Near real-time (<1 week for patient isolates)
Why focus on Listeria first for WGS?
Illness is rare but serious, costly, and commonly outbreak associated
Current subtyping methods are not ideal
Listeria genome is fairly small and relatively easy to sequence and analyze
Strong epidemiologic surveillance (Listeria Initiative)
Strong regulatory component
Recent Multistate Listeriosis Outbreak Investigations
Year Vehicle States Cases Deaths
2017 Gourmet Soft Raw Milk Cheese 4 6 2
2016 Frozen Vegetables 4 9 3
2016 Raw Milk 2 2 1
2016 Bagged Salad Mixes 9 19 1
2015 Middle Eastern-Style Soft Cheese 10 30 3
2015 Ice Cream 4 10 3
2014 Caramel Apples 12 35 7
2014 Mung Bean Sprouts 2 5 2
2014 Hispanic-Style Cheese 4 5 1
2014 Hispanic-Style Cheese 2 8 1
2013 Gourmet Soft Cheese 5 6 1
2012 Imported Ricotta Salata Cheese 14 22 4
2011 Cantaloupes (Domestic) 28 147 33
Outbreak Identification: Listeriosis and Caramel Apples
Two listeriosis illness clusters identified in November 2014
– Cluster 1: Arizona and New Mexico contact CDC regarding an increase in listeriosis cases in both states
– Cluster 2: PulseNet identifies a second cluster of 4 listeriosis cases in Minnesota and Missouri
Isolates within each cluster were closely related to one another by wgMLST, but the two clusters were not closely related genetically
Outbreak Identification: Listeriosis and Caramel Apples
Clusters combined into one investigation
– Similar timing and geographic distribution
– One patient had isolates with both PFGE patterns
Hypothesis Generation: Listeriosis and Caramel Apples
No strong epidemiologic signal from initial interview of ill people
– All cases were interviewed with the standard Listeria Initiative questionnaire
– Moved to interviews with the broader National Hypothesis Generating Questionnaire, which also did not yield a strong hypothesis
CDC then asked the states if we could perform single-interviewer open-ended interviews
– On December 15, during a interview with a patient’s spouse, a local TX official asked: “Did your spouse eat any seasonal items like caramel apples? ”
Hypothesis Testing: Listeriosis and Caramel Apples
Compared apple and caramel apple consumption among outbreak cases to ill people with unrelated listeriosis
*Ill persons with unrelated Listeria infections during the same time period
Outbreak Cases Non-outbreak Cases* p-value
Caramel Apples 28/31 (90%) 1/36 (3%) <0.001
Whole Apples 9/16 (56%) 20/30 (67%) 0.1370
Communication: Listeriosis and Caramel Apples
To prevent additional illnesses, CDC felt it was important to communicate even though a specific brand of caramel apples had not yet been identified
CDC tries to be as specific as possible about food items; rarely publicly implicates generic food products
Although “caramel apples” is a generic food product, CDC was able to specify
– Commercially produced
– Prepackaged
– Not homemade
Traceback: Listeriosis and Caramel Apples
FDA and partners collect samples:
– Apple supplier
– Caramel apple production facilities
– Whole apples in the distribution chain
Retail 1
Retail 2
Retail 3
Retail 4
Retail 5
Retail 6
Retail 7
Retail 8
Retail 9
Distributor 1
Distributor 2
Distributor 3
Manufacturer 1
Manufacturer 2
Manufacturer 3
Manufacturer 4
Manufacturer 5
Single common apple supplier
WGS Results: Listeriosis and Caramel Apples
50 isolates sequenced
– Clinical isolates from ill people
– Grower A food contact surfaces
– Grower A packing line floor drain
– Grower A apples collected in the distribution chain
Fell into 2 WGS clades, each containing closely related clinical and food/environmental isolates
Why Caramel Apples?
The acidity of apples and low water activity of caramel should not support growth of L. monocytogenes
However, L. monocytogenes inoculation studies showed a >3 log10 increase in 3 days on unrefrigerated caramel apples with sticks
– Less growth at refrigerator temperatures; no growth on caramel apples without sticks
– Hypothesis: insertion of the stick into the apple allows juice to enter the space between the caramel and the skin of the apple
Glass KA, Golden MC, Wanless BJ, Bedale W, Czuprynski C. Growth of Listeria monocytogenes within a Caramel-coated Apple Microenvironment. mBio. 6(5):e01232-15.
February 2015: Ice Cream Testing
Listeria monocytogenes identified in multiple samples of 2 different products collected for routine sampling by South Carolina:
7 distinct Listeria pulsed-field gel electrophoresis (PFGE) patterns
Both made on one line at a Texas Blue Bell facility
Texas collects products for testing from the facility
Identified Lm in the same two products as in South Carolina
Also found in ice cream “Scoops” produced on same line
Same PFGE patterns as found in South Carolina
March 2015: Kansas Investigation
Two patients infected with Listeria with indistinguishable PFGE patterns in late 2014 and early 2015
Both in same hospital before listeriosis onset for unrelated problems
3 other patients were in the same hospital before listeriosis onset in the previous year
Each infected with different PFGE patterns
Entire state has median of only 4 listeriosis cases/year
wgMLST (<All Characters>)
100
908070605040302010
Key
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.
RunIds
.
.
CalculationStatus
.
.
cdc_id
2014L-67272015L-60492014L-60832014L-61292014L-6728
Id
PNUSAL001200PNUSAL001324PNUSAL000593PNUSAL000635PNUSAL001201
State ID
KS___211123KS___268222ks___42951KS___79910KS___211134
PFGE-AscI-pattern
GX6A16.0026GX6A16.0026GX6A16.0061GX6A16.0020GX6A16.0282
PFGE-ApaI-pattern
GX6A12.0227GX6A12.0227GX6A12.0026GX6A12.0227GX6A12.0355
Outbreak
1502KSGX6-11502KSGX6-11502KSGX6-11502KSGX6-11502KSGX6-1
Serotype
.
.
.
.
.
IsolatDate
2014-10-052015-01-232014-01-142014-03-132014-10-05
12.5[0-18]
2571
Allele median[min-max] differences at node
wgMLST (<All Characters>)
100
908070605040302010
Key
.
.
.
.
.
RunIds
.
.
CalculationStatus
.
.
cdc_id
2014L-67272015L-60492014L-60832014L-61292014L-6728
Id
PNUSAL001200PNUSAL001324PNUSAL000593PNUSAL000635PNUSAL001201
State ID
KS___211123KS___268222ks___42951KS___79910KS___211134
PFGE-AscI-pattern
GX6A16.0026GX6A16.0026GX6A16.0061GX6A16.0020GX6A16.0282
PFGE-ApaI-pattern
GX6A12.0227GX6A12.0227GX6A12.0026GX6A12.0227GX6A12.0355
Outbreak
1502KSGX6-11502KSGX6-11502KSGX6-11502KSGX6-11502KSGX6-1
Serotype
.
.
.
.
.
IsolatDate
2014-10-052015-01-232014-01-142014-03-132014-10-05
Whole Genome Sequencing and Epidemic Curve Kansas, 2014–2015
0
1
2
3
Nu
mb
er
of
Illn
ess
es
Month of Illness Onset
4/4 patients with available hospital dietary records consumed milkshakes made with Blue Bell “Scoops”
4/5 isolates match PFGE patterns found in ice cream
wgMLST Analysis: Kansas Patient and Texas Ice Cream Isolates
Multiple PFGE patterns seen among ice cream isolates, but all isolates closely related by WGS (maximum 28 allele difference)
Patient isolates closely related to ice cream isolates from the Texas production facility
Four Kansas patient isolates that were closely related by
WGS
wgMLST (<All Characters>)
100
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.
2015L-61982015L-6176
2015L-6167
2015L-61942015L-6201
2015L-61652015L-6197
2015L-6177
2015L-61842015L-6202
2015L-61602015L-6162
2015L-6174
2015L-61792015L-6175
2015L-62032015L-6188
2015L-61662015L-6181
2015L-6186
2015L-62062015L-6155
2015L-62112015L-6171
2015L-6183
2015L-6189
2015L-61542015L-6208
2015L-61852015L-6182
2015L-61802015L-6153
2015L-6173
2015L-62072015L-6164
2015L-6157
2015L-6170
2015L-61722015L-6159
2015L-61582015L-6195
2015L-6163
2015L-62052015L-6209
2015L-61872015L-6156
2015L-6190
2015L-62102015L-6196
2015L-6238
2015L-62402015L-6234
2015L-6236
2015L-62372015L-6253
2015L-62122015L-6235
2015L-6255
2015L-62572015L-6254
2015L-62192015L-6221
2015L-6256
2015L-62512015L-6233
2015L-62522015L-6230
2015L-6228
2015L-62292015L-6246
2015L-62432015L-6231
2015L-6227
2014L-6083
2015L-62622015L-6263
2015L-62642015L-6245
2015L-62422014L-6727
2015L-6049
2015L-6214
2015L-6213
2015L-62322015L-6225
2015L-6223
2015L-62242015L-6260
2015L-61982015L-6176
2015L-6167
2015L-61942015L-6201
2015L-61652015L-6197
2015L-6177
2015L-61842015L-6202
2015L-61602015L-6162
2015L-6174
2015L-61792015L-6175
2015L-62032015L-6188
2015L-61662015L-6181
2015L-6186
2015L-62062015L-6155
2015L-62112015L-6171
2015L-6183
CFSAN0297972015L-6189
2015L-61542015L-6208
CFSAN029796
2015L-61852015L-6182
2015L-61802015L-6153
CFSAN029803CFSAN030113
2015L-6173
2015L-62072015L-6164
2015L-6157CFSAN030114
2015L-6170
2015L-61722015L-6159
2015L-61582015L-6195
2015L-6163
2015L-62052015L-6209
2015L-61872015L-6156
2015L-6190
2015L-62102015L-6196
2015L-6238CFSAN029822
2015L-62402015L-6234
2015L-6236
2015L-62372015L-6253
2015L-62122015L-6235
2015L-6255
2015L-62572015L-6254
2015L-62192015L-6221
2015L-6256
2015L-62512015L-6233
2015L-62522015L-6230
2015L-6228
2015L-62292015L-6246
2015L-62432015L-6231
2015L-6227CFSAN029793
PNUSAL000593
2015L-62622015L-6263
2015L-62642015L-6245
CFSAN029792
2015L-6242PNUSAL001200
PNUSAL001324CFSAN030116
2015L-6214
CFSAN0297912015L-6213
2015L-62322015L-6225
2015L-6223
2015L-62242015L-6260
SC___LM15-012
SC___LM15-011
SC___LM15-020TX___TXACF1500600
TX___TXACF1500601
SC___LM15-039
SC___LM15-008
ks___42951
SC___LM15-007
KS___211123
KS___268222TX___TXACF1500604
SC___LM15-006
GX6A16.0026
GX6A16.0061
GX6A16.0026GX6A16.0026
GX6A16.0061
GX6A16.0061
GX6A16.0061
GX6A16.0061
GX6A16.0061
GX6A16.0026
GX6A16.0026GX6A16.0026
GX6A16.0061
GX6A12.0489
GX6A12.2551
GX6A12.0077GX6A12.0489
GX6A12.2551
GX6A12.0026
GX6A12.0026
GX6A12.0026
GX6A12.0026
GX6A12.0227
GX6A12.0227GX6A12.0227
GX6A12.1512
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
not typed
not typed
not typednot typed
not typed
not typed
not typed
1/2b
not typed
1/2b
1/2bnot typed
not typed
.
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2015L-62222015L-6226
2015L-62392015L-6241
2015L-6161
2015L-6169
2015L-6178
2015L-62042015L-6191
2015L-6193
2015L-6168
2015L-61922015L-6258
2015L-6259
2015L-62612015L-6247
2015L-6248
2015L-6249
2015L-6250
2015L-62442015L-6220
2015L-62172015L-6218
2014L-6129
2015L-62222015L-6226
2015L-62392015L-6241
2015L-6161
2015L-6169
2015L-6178
2015L-62042015L-6191
2015L-6193
CFSAN0298152015L-6168
2015L-61922015L-6258
2015L-6259
2015L-62612015L-6247
2015L-6248
2015L-6249
2015L-6250
2015L-62442015L-6220
2015L-62172015L-6218
PNUSAL000635CFSAN029808
CFSAN030115
CFSAN030117CFSAN029809
SC___LM15-032
KS___79910SC___LM15-025
TX___TXACF1500603
TX___TXACF1500612SC___LM15-026
GX6A16.0026
GX6A16.0020GX6A16.0020
GX6A16.0020
GX6A16.0020GX6A16.0020
GX6A12.0227
GX6A12.0227GX6A12.0227
GX6A12.0227
GX6A12.0227GX6A12.0227
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-11502KSGX6-1
1502KSGX6-1
1502KSGX6-11502KSGX6-1
not typed
1/2bnot typed
not typed
not typednot typed
13 [0-28]
Testing at the Kansas Hospital
Kansas Department of Health and Environment collects Blue Bell ice cream from affected hospital
March 22: Listeria found in 3 oz. chocolate ice cream cup made in Blue Bell’s Oklahoma facility
March 23: Blue Bell recalls ice cream cups from their Oklahoma facility
Illnesses Linked to Blue Bell Oklahoma Facility?
PFGE pattern determined for Listeria from chocolate cup
Pattern only seen 6 times before, all from patients, 2010–2014
All patients previously hospitalized
Exposure to ice cream uncertain, though all hospitals received Blue Bell ice cream
wgMLST (<All Characters>)
100
99989796959493 Key
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Modified date
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CalculationStatus
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RunIds
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cdc_id
2011L-2417
2010L-1686
2013L-5169
2015L-6280
2015L-6281
2011L-2484
2014L-6678
2015L-6247
2015L-6248
2015L-6249
2015L-6250
2015L-6244
2015L-6220
2015L-6217
2015L-6218
2015L-6216
2015L-6215
2014L-6129
Id
PNUSAL001398
2010L-1686
2013L-5169
CFSAN030684
CFSAN030680
CFSAN030686
CFSAN030679
CFSAN030687
CFSAN030683
CFSAN030676
CFSAN030682
CFSAN030681
CFSAN030677
CFSAN030685
CFSAN030678
PNUSAL001405
PNUSAL001406
PNUSAL001397
FDA00008876
FDA00008873
FDA00008888
FDA00008877
CFSAN030806
PNUSAL001152
FDA00008878
FDA00008884
FDA00008872
FDA00008885
FDA00008887
FDA00008905
FDA00008889
FDA00008903
FDA00008871
FDA00008886
FDA00008904
FDA00008881
FDA00008890
FDA00008882
FDA00008883
2015L-6247
2015L-6248
2015L-6249
2015L-6250
2015L-6244
2015L-6220
2015L-6217
2015L-6218
2015L-6216
2015L-6215
PNUSAL000635
CFSAN029808
CFSAN030115
CFSAN030117
CFSAN030801
CFSAN029809
CFSAN030794
State ID
TX___TXACB1100844
AZ___PI10027002
OK___12OKE0273
KS___299129 #9
KS___299125 #5
KS___299131 #11
KS___299124 #4
KS___299132 #12
KS___299128 #8
KS___299102 #1
KS___299127 #7
KS___299126 #6
KS___299104 #2
KS___299130 #10
KS___299122 #3
OK___15OKB0255
OK___15OKB0254
TX___TXACB1101690
FCF__889278-77-A-2
FCF__FSNS15-241274-036
TX___TXACB1403595
FCF__889278-69-A-2
FCF__889278-70-A-2
FCF__889278-75-A-2
FCF__889278-78-A-2
FCF__889278-71-A-2
FCF__889278-62-A-2
FCF__889278-80-A-2
FCF__889278-67-A-2
FCF__889278-68-A-2
KS___79910
SC___LM15-025
TX___TXACF1500603
TX___TXACF1500612
FCF__FSNS15-231670-001
SC___LM15-026
FCF__FSNS15-233368-015
PFGE-AscI-pattern
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0336
GX6A16.0020
GX6A16.0020
GX6A16.0020
GX6A16.0020
GX6A16.0020
GX6A16.0020
GX6A16.0020
PFGE-ApaI-pattern
GX6A12.2255
GX6A12.2255
GX6A12.2255
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.2255
GX6A12.2255
GX6A12.1840
GX6A12.2255
GX6A12.1840
GX6A12.1840
GX6A12.2255
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.1840
GX6A12.2255
GX6A12.2255
GX6A12.0227
GX6A12.0227
GX6A12.0227
GX6A12.0227
GX6A12.0227
GX6A12.0227
GX6A12.0227
Outbreak
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
1502KSGX6-1
Serotype
.
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SourceCountry
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.
.
.
.
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.
.
.
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.
.
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SourceState
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.
.
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.
.
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.
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.
PatientAge
.
.
.
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.
.
PatientSex
.
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.
.
.
.
SourceType
.
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.
.
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.
.
.
.
SourceSite
Blood
Blood
Blood
Ice cream
Ice cream
Ice cream
Ice cream
Ice cream
Ice cream
Ice cream
Ice cream
Ice cream
Ice cream
Ice cream
Ice cream
Blood
Ice Cream
Ice Cream
Environmental swabs
Ice Cream
Ice Cream Product
Abscess
Ice Cream
Environmental swabs
Environmental Swabs
Environmental swabs
Environmental swabs
Environmental Swabs
Environmental swabs
Environmental Swabs
Environmental Swabs
Environmental swabs
Environmental Swabs
Environmental swabs
Environmental swabs
Environmental swabs
Environmental swabs
Dairy_Ice cream
Dairy_Ice cream
Dairy_Ice cream
Dairy_Ice cream
Dairy_Ice cream
Dairy_Ice cream
Dairy_Ice cream
Dairy_Ice cream
Ice Cream
Ice Cream
Blood
FOOD
Frozen Dessert
Frozen Dessert
Ice Cream Product
FOOD
Environmental Swab
IsolatDate
2011-03-11
2010-01-20
2012-04-01
2015-03-24
2015-03-24
2011-05-31
2015-04-01
2015-04-01
2015-03-25
2015-04-01
2015-03-23
2014-10-25
2015-04-01
2015-03-25
2015-04-01
2015-03-25
2015-03-25
2015-04-01
2015-03-25
2015-04-01
2015-04-01
2015-03-25
2015-04-01
2015-03-25
2015-03-25
2015-03-25
2015-03-25
2015-02-13
2015-02-13
2015-02-13
2015-02-13
2015-02-13
2015-02-13
2015-02-13
2015-02-13
2015
2015
2014-03-13
2015-02-17
2015-02-17
2015-03-05
2015-03-09
14[0-27]
3[0-9]
5[0-12]
April 2015: Listeriosis Cases Linked to Ice Cream from the Oklahoma Facility Using WGS
5 isolates from patients closely related to isolates from ice cream by wgMLST
2011 patient
2010 patient
2012 patient
2011 patient
2014 patient
Ice cream and environmental isolates from OK facility
wgMLST Tree with All Patient and Ice Cream Isolates
15[0-30]
16[0-47]
15[0-32]
23[0-265]
Isolates from KS patients and TX facility products all closely related (2014-2015)
Isolates from AZ, TX, and OK patients closely related to isolates from OK facility products (2010-2015)
Outbreak Identification
In March 2016, CDC PulseNet identified a cluster of 8 Listeria monocytogenes infections
– Clinical isolates highly related to one another by WGS
– Cluster identified earlier in 2016, but no investigation opened
Also closely related by WGS to two environmental isolates
– Collected by FDA from a frozen fruit and vegetable processing facility in Oregon in March 2016
Initial Product Actions
The frozen fruit and vegetable processor conducts a voluntary market withdrawal on the basis of:
– FDA inspectional findings
– Lm isolated from the production environment, and
– The identification of closely related clinical isolates
On April 10 the first indication of product actions becomes public via a downstream recall by Schnucks
Interview Data: Finding an Food Signal
CDC develops a supplemental questionnaire
– Environmental isolates allow for more targeted questions about frozen fruits and vegetables
Four ill people interviewed were able to provide shopper card data
– Important because illnesses had occurred months to years in the past
– 3/4 ate frozen vegetables in the month prior to becoming ill
– One ill person still had leftovers in the freezer
Product Testing
Outbreak strains of Listeria identified in open and unopened bags of two brands of frozen vegetables
– One frozen vegetable mix brand from an ill person’s home in California
– Routine retail samples of another brand of frozen peas and frozen corn in Ohio
Both brands produced by the same firm
– Received frozen vegetables from the Oregon processing facility where Listeria was identified in the environment
wgMLST (<All Characters>)
100
90807060504030
Key
WA___21839
FCF__CFSAN048716
MD___MDA15105251
CT___593866001
FCF__CFSAN048717
LAC__H1789
CA2__F1605001-001P1A1
CA2__F1605001-003P2A1
VA___R140216044
FCF__CFSAN034726
CA___M16X00841
FCF__CFSAN034724
OH___2016001349
CASC_15SCPH22581
FCF__CFSAN048715
FCF__950087 - 103 - 150
FCF__950087 - 104 - 164
CA___M13X04892
CA___M15X00855
OH___2016001350
CA2__F1605001-004P2B2
CA___M16X01445
CA2__F1605001-002P1B1
FCF__950087 - 45 - 036
FCF__950087 - 44 - 026
FCF__950087 - 55 - 066
FCF__950087 - 57 - 086
FCF__950087 - 98 - 140
FCF__950087 - 80 - 171
FCF__950087 - 56 - 076
FCF__950087 - 41 - 006
FCF__950087 - 106 - 176
FCF__949810 - 07 - 06
FCF__950087 - 95 - 126
FCF__949810 - 20 - 16
FCF__950087 - 43 - 016
FCF__950087 - 46 - 046
FCF__950087 - 47 - 056
FCF__949810 - 21 - 21
FCF__950087 - 93 - 116
Modified date
.
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.
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.
.
cdc_id
2015L-6917
2015L-6853
2015L-6031
2014L-6089
2016L-6104
2015L-6840
2013L-5546
2015L-6129
WGS_id
PNUSAL001967
CFSAN048716
PNUSAL001711
PNUSAL002184
CFSAN048717
PNUSAL001261
CFSAN051145
CFSAN051149
PNUSAL000599
CFSAN034726
PNUSAL002066
CFSAN034724
PNUSAL002151
PNUSAL001882
CFSAN048715
FDA00010055
FDA00010059
PNUSAL000297
PNUSAL001381
PNUSAL002152
CFSAN051152
PNUSAL002137
CFSAN051147
FDA00010046
FDA00010045
FDA00010049
FDA00010051
FDA00010054
FDA00010057
FDA00010050
FDA00010044
FDA00010058
FDA00010033
FDA00010053
FDA00010034
FDA00010056
FDA00010047
FDA00010048
FDA00010035
FDA00010052
PFGE-AscI-pattern
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0101
GX6A16.0101
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0051
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
PFGE-ApaI-pattern
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.0874
GX6A12.0874
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.2670
GX6A12.2194
GX6A12.2194
GX6A12.0001
GX6A12.0070
GX6A12.0070
GX6A12.0070
GX6A12.0001
GX6A12.0001
Outbreak
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
Serotype
1/2a
not typed
1/2a
not typed
not typed
1/2a
1/2a
not typed
1/2a
not typed
not typed
1/2a
not typed
not typed
not typed
1/2a
1/2a
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
IsolatDate
2015-12-11
2015-07-19
2015-07-06
2016-05-03
2015-07-19
2015-01-03
2014-02-05
2014-11-25
2016-01-18
2014-11-25
2016-04-11
2015-10-29
2015-07-19
2016-03-09
2016-03-09
2013-09-13
2015-02-16
2016-04-11
2016-03-28
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-08
2016-03-09
2016-03-08
2016-03-09
2016-03-09
2016-03-09
2016-03-08
2016-03-09
ReceivedDate
2015-12-17
2015-09-01
2016-05-09
2015-01-26
2014-02-15
2014
2016-02-25
2014
2016-04-22
2015-11-06
2013-09-25
2015-03-03
2016-04-22
2016-04-11
UploadDate
2015-12-21
2015
2015-09-03
2016-05-12
2015
2015-01-28
2014-02-19
2014
2016-03-01
2014
2016-04-26
2015-11-09
2015
2016-03-25
2016-03-25
2013-09-30
2015-03-09
2016-04-26
2016-04-13
2016-03-24
2016-03-24
2016-03-24
2016-03-24
2016-03-24
2016-03-25
2016-03-24
2016-03-24
2016-03-25
2016-03-21
2016-03-24
2016-03-21
2016-03-25
2016-03-24
2016-03-24
2016-03-21
2016-03-24
SourceCountry
.
.
.
.
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.
.
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.
.
.
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.
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.
SourceState
.
.
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.
.
.
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.
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.
.
.
SourceType
.
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.
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.
.
.
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.
.
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.
.
SourceSite
Blood, NOS
Green beans
Blood
Blood
Green beans
Blood
Other
Onions
Blood
Onions
White Sweet Corn
Blood
Green beans
Environmental Swab
Environmental Swab
Abdominal Fluid
Blood
Petite Green Peas
Blood
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
6[0-16]
7.5[0-9]
>2000
11[0-27]
wgMLST (<All Characters>)
100
90807060504030
Key
WA___21839
FCF__CFSAN048716
MD___MDA15105251
CT___593866001
FCF__CFSAN048717
LAC__H1789
CA2__F1605001-001P1A1
CA2__F1605001-003P2A1
VA___R140216044
FCF__CFSAN034726
CA___M16X00841
FCF__CFSAN034724
OH___2016001349
CASC_15SCPH22581
FCF__CFSAN048715
FCF__950087 - 103 - 150
FCF__950087 - 104 - 164
CA___M13X04892
CA___M15X00855
OH___2016001350
CA2__F1605001-004P2B2
CA___M16X01445
CA2__F1605001-002P1B1
FCF__950087 - 45 - 036
FCF__950087 - 44 - 026
FCF__950087 - 55 - 066
FCF__950087 - 57 - 086
FCF__950087 - 98 - 140
FCF__950087 - 80 - 171
FCF__950087 - 56 - 076
FCF__950087 - 41 - 006
FCF__950087 - 106 - 176
FCF__949810 - 07 - 06
FCF__950087 - 95 - 126
FCF__949810 - 20 - 16
FCF__950087 - 43 - 016
FCF__950087 - 46 - 046
FCF__950087 - 47 - 056
FCF__949810 - 21 - 21
FCF__950087 - 93 - 116
Modified date
.
.
.
.
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.
.
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.
.
.
.
.
.
.
cdc_id
2015L-6917
2015L-6853
2015L-6031
2014L-6089
2016L-6104
2015L-6840
2013L-5546
2015L-6129
WGS_id
PNUSAL001967
CFSAN048716
PNUSAL001711
PNUSAL002184
CFSAN048717
PNUSAL001261
CFSAN051145
CFSAN051149
PNUSAL000599
CFSAN034726
PNUSAL002066
CFSAN034724
PNUSAL002151
PNUSAL001882
CFSAN048715
FDA00010055
FDA00010059
PNUSAL000297
PNUSAL001381
PNUSAL002152
CFSAN051152
PNUSAL002137
CFSAN051147
FDA00010046
FDA00010045
FDA00010049
FDA00010051
FDA00010054
FDA00010057
FDA00010050
FDA00010044
FDA00010058
FDA00010033
FDA00010053
FDA00010034
FDA00010056
FDA00010047
FDA00010048
FDA00010035
FDA00010052
PFGE-AscI-pattern
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0397
GX6A16.0101
GX6A16.0101
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0051
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
GX6A16.0001
PFGE-ApaI-pattern
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.1067
GX6A12.0874
GX6A12.0874
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.0001
GX6A12.2670
GX6A12.2194
GX6A12.2194
GX6A12.0001
GX6A12.0070
GX6A12.0070
GX6A12.0070
GX6A12.0001
GX6A12.0001
Outbreak
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
1603CAGX6-1WGS
Serotype
1/2a
not typed
1/2a
not typed
not typed
1/2a
1/2a
not typed
1/2a
not typed
not typed
1/2a
not typed
not typed
not typed
1/2a
1/2a
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
not typed
IsolatDate
2015-12-11
2015-07-19
2015-07-06
2016-05-03
2015-07-19
2015-01-03
2014-02-05
2014-11-25
2016-01-18
2014-11-25
2016-04-11
2015-10-29
2015-07-19
2016-03-09
2016-03-09
2013-09-13
2015-02-16
2016-04-11
2016-03-28
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-09
2016-03-08
2016-03-09
2016-03-08
2016-03-09
2016-03-09
2016-03-09
2016-03-08
2016-03-09
ReceivedDate
2015-12-17
2015-09-01
2016-05-09
2015-01-26
2014-02-15
2014
2016-02-25
2014
2016-04-22
2015-11-06
2013-09-25
2015-03-03
2016-04-22
2016-04-11
UploadDate
2015-12-21
2015
2015-09-03
2016-05-12
2015
2015-01-28
2014-02-19
2014
2016-03-01
2014
2016-04-26
2015-11-09
2015
2016-03-25
2016-03-25
2013-09-30
2015-03-09
2016-04-26
2016-04-13
2016-03-24
2016-03-24
2016-03-24
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SourceSite
Blood, NOS
Green beans
Blood
Blood
Green beans
Blood
Other
Onions
Blood
Onions
White Sweet Corn
Blood
Green beans
Environmental Swab
Environmental Swab
Abdominal Fluid
Blood
Petite Green Peas
Blood
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Environmental Swab
Final WGS Results Initial 8 patient isolates
Initial 2 environmental isolates from the frozen fruit and vegetable processor
Frozen vegetable products • Leftover from CA patient • Routine product sampling in OH
Frozen vegetable products • Leftover from CA patient • Routine product sampling in OH
9th patient isolate
Additional environmental isolates from the frozen fruit and vegetable processor (no clinical isolates)
Resolution of the Outbreak
Relatively small number of illnesses led to recalls of 456 products sold under 42 brands
– Recalled products not limited to frozen vegetables and fruits, and included foods like prepared salads, frozen meals, frozen snack foods
However, if this had not been identified, low numbers of illnesses could likely have continued indefinitely
Were not able to obtain good information on how these food were prepared
– Microwaving vs cooking?
– Eaten raw or used in smoothies?
Emerging Trends in Listeriosis Outbreaks
Many novel vehicles identified since implementation of WGS in 2013
Caramel apples
Ice cream
Frozen vegetables
Bagged salad mix
Outbreaks continue to be linked to cheese, primarily from domestically produced pasteurized milk cheeses
Notable absence of hot dogs/deli meats as a source of major outbreaks over the last decade
Changing Notion of Sporadic Illness
Listeriosis linked to frozen vegetables • 9 cases in 3 years
Listeriosis linked to ice cream • 10 cases in 5 years
These illnesses are not sporadic, but are endemic disease that previously appeared sporadic because of limitations in investigation tools
Public Health Impact of WGS on Listeriosis
Outbreak Investigations
14
0 2 6 13
19
6 5 4
20 21
6 9 3
103
0
20
40
60
80
100
120
No. of clustersdetected
No. of clustersdetected
sooner or onlyby WGS
No. ofoutbreaks
solved(food source
identified)
Median no. ofcases percluster oroutbreak
No. of caseslinked to food
source
Pre-WGS (Sept 2012–Aug 2013)
WGS Year 1 (Sept 2013–Aug 2014)
WGS Year 2 (Sept 2014–Aug 2015)
Summary
WGS has already improved our ability to detect, triage, investigate, and solve outbreaks of Listeria monocytogenes infections
More outbreaks found
Identified when they are smaller
Begin the investigation with better “leads”
Hopefully stopped sooner, before they become catastrophic (e.g., 2011 cantaloupe outbreak)
The vast majority of listeriosis in the US is still not linked to a known outbreak
The next steps in preventing illness will need to target what have, until now, appeared to be sporadic illnesses