This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
HIV/renal studies (CHIC)HIV/renal studies (CHIC)• Baseline renal function as predictor of
• Changes in renal function– Accelerated decline in renal function– Chronic kidney disease progression
• HIV/renal transplantation• HIV/Fanconi syndrome
Total N (%) 19,111 (100)
Male N (%) 15,09 4(79)
Ethnicity N (%) Black 4,640 (24)
White/Other 14, 471 (76)
Hepatitis B surface antigen positive N (%) 1,097 (6)
Hepatitis C antibody positive N (%) 1,333 (7)
CD4 at time of baseline eGFR (cells/mm3) Median (IQR) 352 (212, 520)
Viral load at time of baseline eGFR (copies/ml) Median (IQR) 1995 (50, 32154)
Baseline eGFR-MDRD ml/min/1.73m2 Median (IQR) 95 (83, 108)
Baseline eGFR-CKD-EPI ml/min/1.73m2 Median (IQR) 100 (87, 112)
On cART at time of baseline eGFR N (%) 12,034 (62)
Median time from HIV diagnosis to baseline eGFR was 4 [3, 9] months Median follow-up was 5.7 [IQR: 2.7, 9.1] years 1,837 (9.6%) died; 79 (0.41%) progressed to stage 4/5 CKD
Does renal function at baseline predict mortality Does renal function at baseline predict mortality or progression to stages 4/5 CKD?or progression to stages 4/5 CKD?
0%25
%50
%75
%10
0%Cu
mul
ative
Mor
talit
y %
0 5 10 15
Years from entry to the cohort
≥90 75-89
60-74 30-59
15-29 <15
0%25
%50
%75
%10
0%
0 5 10 15
Years from entry to the cohort
≥90
60-74 30-59
15-29 <15
75-89(a) eGFR-MDRD (b) eGFR-CKD-EPI
Time to death in HIV positive patients Time to death in HIV positive patients stratified by baseline eGFRstratified by baseline eGFR
Hamzah et al, BHIVA 2010
MDRD CKD-EPI
eGFR Adjusted1 HR (95%CI) P Adjusted1 HR (95%CI) P