TY - JOUR
T1 - Reconciling the evaluation of co-morbidities among HIV care patients in two large data systems
T2 - the Medical Monitoring Project and CFAR Network of Integrated Clinical Systems
AU - Hood, Julia E.
AU - Bradley, Heather
AU - Hughes, James P.
AU - Golden, Matthew R.
AU - Crane, Heidi M.
AU - Buskin, Susan E.
AU - Burkholder, Greer A.
AU - Geng, Elvin
AU - Kitahata, Mari M.
AU - Mathews, William C.
AU - Moore, Richard D.
AU - Hawes, Stephen E.
N1 - Funding Information:
CNICS is an NIH funded program (R24 AI067039) made possible by the National Institute of Allergy and Infectious Diseases (NIAID) and the National Heart, Lung, and Blood Institute (NHLBI). The CFAR sites involved in CNICS include Univ of Alabama at Birmingham (P30 AI027767), Univ of Washington (P30 AI027757), Univ of California San Diego (P30 AI036214), Univ of California San Francisco (P30 AI027763), Case Western Reserve Univ (P30 AI036219), Johns Hopkins Univ (P30 AI094189, U01 DA036935), Fenway Health/Harvard (P30 AI060354), and Univ of North Carolina Chapel Hill (P30 AI50410). Funding for the Medical Monitoring Project is provided by the Centers for Disease Control and Prevention.
Funding Information:
CNICS is an NIH funded program (R24 AI067039) made possible by the National Institute of Allergy and Infectious Diseases (NIAID) and the National Heart, Lung, and Blood Institute (NHLBI). The CFAR sites involved in CNICS include Univ of Alabama at Birmingham (P30 AI027767), Univ of Washington (P30 AI027757), Univ of California San Diego (P30 AI036214), Univ of California San Francisco (P30 AI027763), Case Western Reserve Univ (P30 AI036219), Johns Hopkins Univ (P30 AI094189, U01 DA036935), Fenway Health/Harvard (P30 AI060354), and Univ of North Carolina Chapel Hill (P30 AI50410). Funding for the Medical Monitoring Project is provided by the Centers for Disease Control and Prevention. The authors would like to acknowledge the staff, advisory boards, and participants of the Medical Monitoring Project: http://www.cdc.gov/hiv/statistics/systems/mmp/resources.html#StudyGroupMembers.
Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/12/2
Y1 - 2018/12/2
N2 - The estimated burden of chronic disease among people living with HIV (PLWH) varies considerably by data source, due to differences in case definitions, analytic approaches, and underlying patient populations. We evaluated the burden of diabetes (DM) and chronic kidney disease (CKD) in two large data systems that are commonly queried to evaluate health issues affecting HIV care patients: the Medical Monitoring Project (MMP), a nationally representative sample, and the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS), a clinical cohort. In order to reconcile these two data sources, we addressed issues common to observational data, including selection bias, missing data, and development of case definitions. The overall adjusted estimated prevalence of DM and CKD in MMP was 12.7% and 7.6%, respectively, and the overall prevalence of DM and CKD in CNICS was 9.9% and 8.3%, respectively; prevalence estimates increased with age in both data sources. After reconciling the approach to analyzing MMP and CNICS data, sub-group specific prevalence estimates of DM and CKD was generally similar in both data sources. Both data sources suggest a considerable burden of disease among older adults in HIV care. MMP and CNICS can provide reliable data to monitor HIV co-morbidities in the US.
AB - The estimated burden of chronic disease among people living with HIV (PLWH) varies considerably by data source, due to differences in case definitions, analytic approaches, and underlying patient populations. We evaluated the burden of diabetes (DM) and chronic kidney disease (CKD) in two large data systems that are commonly queried to evaluate health issues affecting HIV care patients: the Medical Monitoring Project (MMP), a nationally representative sample, and the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS), a clinical cohort. In order to reconcile these two data sources, we addressed issues common to observational data, including selection bias, missing data, and development of case definitions. The overall adjusted estimated prevalence of DM and CKD in MMP was 12.7% and 7.6%, respectively, and the overall prevalence of DM and CKD in CNICS was 9.9% and 8.3%, respectively; prevalence estimates increased with age in both data sources. After reconciling the approach to analyzing MMP and CNICS data, sub-group specific prevalence estimates of DM and CKD was generally similar in both data sources. Both data sources suggest a considerable burden of disease among older adults in HIV care. MMP and CNICS can provide reliable data to monitor HIV co-morbidities in the US.
KW - HIV/AIDS
KW - chronic kidney disease
KW - co-morbidity
KW - diabetes
KW - observational study
UR - http://www.scopus.com/inward/record.url?scp=85052001644&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052001644&partnerID=8YFLogxK
U2 - 10.1080/09540121.2018.1499855
DO - 10.1080/09540121.2018.1499855
M3 - Article
C2 - 30051719
AN - SCOPUS:85052001644
SN - 0954-0121
VL - 30
SP - 1551
EP - 1559
JO - AIDS Care - Psychological and Socio-Medical Aspects of AIDS/HIV
JF - AIDS Care - Psychological and Socio-Medical Aspects of AIDS/HIV
IS - 12
ER -