Discrimination of the Veterans Aging Cohort Study Index 2.0 for Predicting Cause-specific Mortality Among Persons With HIV in Europe and North America

Author:

Ambia Julie1ORCID,Ingle Suzanne M1,McGinnis Kathleen2,Pantazis Nikos3,Silverberg Michael J4ORCID,Wittkop Linda56ORCID,Kusejko Katharina7ORCID,Crane Heidi8,van Sighem Ard9,Sarcletti Mario10,Cozzi-Lepri Alessandro11,Domingo Pere12ORCID,Jarrin Inma1314,Wyen Christoph15,Hessamfar Mojgan16,Zhang Lei117,Cavassini Matthias18ORCID,Berenguer Juan19ORCID,Sterling Timothy R20ORCID,Reiss Peter212223,Abgrall Sophie2425,Gill M John26,Justice Amy227ORCID,Sterne Jonathan A C1,Trickey Adam1ORCID

Affiliation:

1. Population Health Sciences, University of Bristol , Bristol , UK

2. VA Connecticut Healthcare System, US Department of Veteran Affairs , West Haven, Connecticut , USA

3. Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens , Athens , Greece

4. Division of Research, Kaiser Permanente Northern California , Oakland, California , USA

5. University of Bordeaux, INSERM, Institut Bergonié, BPH, U1219, CIC-EC 1401 , F-33000, Bordeaux , France

6. INRIA SISTM team, Talence. CHU de Bordeaux, Service d’information médicale, INSERM, Institut Bergonié, CIC-EC 1401, F-33000 , Bordeaux , France

7. Division for Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich , Zurich , Switzerland

8. Division of Infectious Diseases, Department of Medicine, University of Washington , Seattle, Washington , USA

9. Stichting HIV Monitoring , Amsterdam , Netherlands

10. Department of Dermatology and Venereology, Medical University of Innsbruck , Innsbruck , Austria

11. Institute for Global Health, University College London , London , UK

12. Department of Infectious Diseases, Santa Creu i Sant Pau Hospital , Barcelona , Spain

13. National Centre of Epidemiology, Carlos III Health Institute , Madrid , Spain

14. CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain

15. Department I for Internal Medicine, University Hospital of Cologne, Cologne, Germany

16. Department of Internal Medicine and Infectious Disease, Bordeaux University Hospital F-33000, Bordeaux , France

17. School of Public Finance and Management, Yunnan University of Finance and Economics , Kunming , China

18. Infectious Diseases Service, Lausanne University Hospital and University of Lausanne , Lausanne , Switzerland

19. Hospital General Universitario Gregorio Marañón, IiSGM, CIBERINFEC , Madrid , Spain

20. Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine , Nashville, Tennessee , USA

21. Stichting HIV Monitoring , Amsterdam , The Netherlands

22. Amsterdam UMC, University of Amsterdam, Global Health , Amsterdam , The Netherlands

23. Amsterdam Institute for Global Health and Development , Amsterdam , The Netherlands

24. APHP, Hôpital Béclère, Service de Médecine Interne , Clamart , France

25. APHP, Université Paris-Saclay, Univ. Paris-Sud, UVSQ, CESP INSERM U1018 , Le Kremlin-Bicêtre , France

26. Department of Medicine, University of Calgary, South Alberta HIV Clinic , Calgary, Alberta , Canada

27. Department of Internal Medicine, Yale University School of Medicine , New Haven, Connecticut , USA

Abstract

Abstract Background Predicting cause-specific mortality among people with HIV (PWH) could facilitate targeted care to improve survival. We assessed discrimination of the Veterans Aging Cohort Study (VACS) Index 2.0 in predicting cause-specific mortality among PWH on antiretroviral therapy (ART). Methods Using Antiretroviral Therapy Cohort Collaboration data for PWH who initiated ART between 2000 and 2018, VACS Index 2.0 scores (higher scores indicate worse prognosis) were calculated around a randomly selected visit date at least 1 year after ART initiation. Missingness in VACS Index 2.0 variables was addressed through multiple imputation. Cox models estimated associations between VACS Index 2.0 and causes of death, with discrimination evaluated using Harrell's C-statistic. Absolute mortality risk was modelled using flexible parametric survival models. Results Of 59 741 PWH (mean age: 43 years; 80% male), the mean VACS Index 2.0 at baseline was 41 (range: 0–129). For 2425 deaths over 168 162 person-years follow-up (median: 2.6 years/person), AIDS (n = 455) and non–AIDS-defining cancers (n = 452) were the most common causes. Predicted 5-year mortality for PWH with a mean VACS Index 2.0 score of 38 at baseline was 1% and approximately doubled for every 10-unit increase. The 5-year all-cause mortality C-statistic was .83. Discrimination with the VACS Index 2.0 was highest for deaths resulting from AIDS (0.91), liver-related (0.91), respiratory-related (0.89), non-AIDS infections (0.87), and non–AIDS-defining cancers (0.83), and lowest for suicides/accidental deaths (0.65). Conclusions For deaths among PWH, discrimination with the VACS Index 2.0 was highest for deaths with measurable physiological causes and was lowest for suicide/accidental deaths.

Funder

National Institute on Alcohol Abuse and Alcoholism

National Institute for Public Health and the Environment

Institut National de la Santé et de la Recherche Médicale

Spanish Ministry of Health

Swiss National Science Foundation

National Institute of Allergy and Infectious Diseases

Center for AIDS Research

Publisher

Oxford University Press (OUP)

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