Contribution of Genetic Background and Data Collection on Adverse Events of Anti–human Immunodeficiency Virus (HIV) Drugs (D:A:D) Clinical Risk Score to Chronic Kidney Disease in Swiss HIV-infected Persons With Normal Baseline Estimated Glomerular Filtration Rate

Author:

Dietrich Léna G1,Barceló Catalina2,Thorball Christian W34,Ryom Lene5,Burkhalter Felix6,Hasse Barbara7,Furrer Hansjakob8,Weisser Maja9,Steffen Ana10,Bernasconi Enos11,Cavassini Matthias12,de Seigneux Sophie13,Csajka Chantal2,Fellay Jacques34,Ledergerber Bruno7,Tarr Philip E1,

Affiliation:

1. University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz

2. Division of Clinical Pharmacology, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne

3. Swiss Institute of Bioinformatics, Lausanne

4. School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Switzerland

5. Center of Excellence for Health, Immunity and Infections, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Denmark

6. University Department of Medicine and Nephrology Service, Kantonsspital Baselland, University of Basel, Bruderholz

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

8. Department of Infectious Diseases, Bern University Hospital, University of Bern, Lugano

9. Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Lugano

10. Division of Infectious Diseases, Kantonsspital St Gallen, Lugano

11. Division of Infectious Diseases, Ospedale Regionale, Lugano

12. Division of Infectious Diseases, Lausanne University Hospital

13. Division of Nephrology, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Switzerland

Abstract

Abstract Background In human immunodeficiency virus (HIV), the relative contribution of genetic background, clinical risk factors, and antiretrovirals to chronic kidney disease (CKD) is unknown. Methods We applied a case-control design and performed genome-wide genotyping in white Swiss HIV Cohort participants with normal baseline estimated glomerular filtration rate (eGFR >90 mL/minute/1.73 m2). Univariable and multivariable CKD odds ratios (ORs) were calculated based on the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) score, which summarizes clinical CKD risk factors, and a polygenic risk score that summarizes genetic information from 86 613 single-nucleotide polymorphisms. Results We included 743 cases with confirmed eGFR drop to <60 mL/minute/1.73 m2 (n = 144) or ≥25% eGFR drop to <90 mL/minute/1.73 m2 (n = 599), and 322 controls (eGFR drop <15%). Polygenic risk score and D:A:D score contributed to CKD. In multivariable analysis, CKD ORs were 2.13 (95% confidence interval [CI], 1.55–2.97) in participants in the fourth (most unfavorable) vs first (most favorable) genetic score quartile; 1.94 (95% CI, 1.37–2.65) in the fourth vs first D:A:D score quartile; and 2.98 (95% CI, 2.02–4.66), 1.70 (95% CI, 1.29–2.29), and 1.83 (95% CI, 1.45–2.40), per 5 years of exposure to atazanavir/ritonavir, lopinavir/ritonavir, and tenofovir disoproxil fumarate, respectively. Participants in the first genetic score quartile had no increased CKD risk, even if they were in the fourth D:A:D score quartile. Conclusions Genetic score increased CKD risk similar to clinical D:A:D score and potentially nephrotoxic antiretrovirals. Irrespective of D:A:D score, individuals with the most favorable genetic background may be protected against CKD.

Funder

SHCS

Swiss National Science Foundation

SHCS Research Foundation

5 Swiss university hospitals

2 cantonal hospitals

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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