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CKD Prediction in HIV+ Patients

Calculators  Infectious Diseases
This calculator estimates the probability of developing Chronic Kidney Disease (CKD) in the next five years in Human Immunodeficiency Virus (HIV)-positive patients who take or do not take tenofovir.
19-39 years 0
40-49 years 2
50-59 years 4
60-90 years 6
Glucose >140 mg/dL (7.77 mmol/L)
No 0
Yes 2
Systolic BP >140 mmHg
No 0
Yes 1
No 0
Yes 2
Triglycerides >200 mg/dL (>2.26 mmol/L)
No 0
Yes 1
No 0
Yes 2
CD4⁺ <200 cells/µL
No 0
Yes 1
Tenofovir (TDF) use


Measured Factor
Probability of developing CKD in the next five years in HIV-positive patients who take or do not take tenofovir.
Measured Factor Disease
  • CKD
Measured Factor Detail
Patients with HIV are at an increased risk of developing CKD, especially when they take Tenofovir. Other factors that increase CKD risk include advanced age, diabetes or uncontrolled blood glucose, hypertension, proteinuria, and medications that may cause renal damage. Renal function decreases with age. Diabetes (for which blood glucose is a measure) is the leading cause of CKD and end-stage renal disease (ESRD) as it causes hyperfiltration injury, advanced glycosylation end products, and reactive oxygen species. Hypertension (for which systolic BP is a surrogate marker) causes increased intraglomerular capillary pressure that leads to glomerulosclerosis and loss of kidney function. Proteinuria is a marker of CKD. Tenofovir is an antiretroviral drug that can cause proximal tubular damage and chronic tubular damage.
Infectious Disease Specialist
Body System
Infectious Diseases
Measured Factor Low Impact
  • Lower value means lower chance of patient getting CKD in the next five years. Thus, if the patient has lower chance, then he/she may be a good candidate for tenofovir antiretroviral drug regimen.
Measured Factor High Impact
  • Higher than normal values means that patient has higher chance of developing CKD in the next five years, and therefore, may not be a good candidate for tenofovir antiretroviral drug regimen.

Result Interpretation

Ranges Ranges
  • Critical High: ≥ 9 points (21.4% rate of CKD within 5 years)
  • Normal: 0 point (0.5% rate of CKD within 5 years)
  • Normal Adult Male: 0 point (0.5% rate of CKD within 5 years)
  • Normal Adult Female: 0 point (0.5% rate of CKD within 5 years)
  • Normal Geriatric Male: 6 points (5.1% rate of CKD within 5 years)
  • Normal Geriatric Female: 6 points (5.1% rate of CKD within 5 years)
Result High Conditions
  • CKD
Test Limitations
This calculator was primarily designed for treatment naive patients who have not yet tried multiple antiretroviral regimens, which is not too easily generalizable to the general public. Additionally, factors such as  intravenous drug use, hepatitis C coinfection, lower baseline eGFR, also influence CKD risk in HIV positive patients, but they are not included in this calculator.
References: 2, 3


Study Validation 1
Woolnough et al. conducted a retrospective cohort study from 2008 to 2016 in HIV positive patients with estimated glomerular filtration rate (eGFR) >60mL/min, excluding those with chronic kidney disease (CKD) prior to the study. The goal of their study was to test the validity and accuracy of two CKD risk scores for HIV positive patients: the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) and the Scherzer risk scores. Progression to CKD was defined by Woolnough et al. as two consequent eGFR measurements of less than 60 ml/min within 90 days of each other, which is a diagnostic standard. 5% of the 748 patients enrolled progressed to CKD within a median of 4.7 years. Risk factors associated with the development of CKD in these patients included: older age, diabetes, proteinuria, higher baseline creatinine, lower eGFR, longer known duration of HIV infection, and lower nadir CD4+ cell count. Those with the strongest association with CKD development are older age (odds ratio (OR) 3.03, 95% confidence interval (CI): 1.20, 7.65; p= 0.02) and lower baseline eGFR (OR 0.39, 95% CI: 4.73, 22.83; p< 0.001). The authors concluded that those of advanced age and with lower eGFR have a higher risk of progressing to CKD. They concluded additionally, that tenofovir exposure alone was not associated with a higher risk of developing CKD but may influence patient progression with other factors. The D:A:D score performed better than the score developed by Scherzer et al  (short D:A:D area under the receiver operator curve (AUROC) 0.85, Scherzer AUROC 0.78, P = 0.02). Woolnough et al. suggest that the Scherzer score may not be as robust as the D:A:D score, but is useful in treatment naive patients. The authors recommend both scores be used more often to help guide clinicians treating this at-risk patient population.
References: 4
Study Additional 1
This study derived a scoring system to predict 5-year risk of developing chronic kidney disease (CKD) in HIV-infected individuals and estimated the risk associated with Tenofovir use. Scherzer R et al. analyzed data of 21,590 HIV-infected US male veterans initiating antiretroviral therapy from1997 to 2010 in order to compose their chronic kidney disease (CKD) risk score. Patients with preexisting renal dysfunction or baseline estimated glomerular filtration rate (eGFR) <60ml/min were excluded from the analysis. The primary outcome of their study was time to first eGFR <60ml/min which was calculated using using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula based on age, sex, race and serum creatinine. This is a clinically relevant as two eGFRs of less than 60ml/min within 3 months of each other defines CKD. The authors created their risk score calculator and found that tenofovir treatment increased CKD risk. The 5-year risk of developing CKD rate was 7.7% in Tenofovir users and 3.8% in Tenofovir nonusers (overall adjusted hazard ratio 2.0, 95% confidence interval (CI) 1.8-2.2). There was a progressive increase in 5-year CKD risk, ranging from less than 1%  to 16%  in Tenofovir nonusers, and from 1.4% to 21.4% inTenofovir users.  Scherzer et al. conclude their risk score is a useful tool to facilitate clinical descion-making about Tenofovir use, although further analysis in different, more diverse patient populations is warranted.
References: 1


Rebecca Scherzer, PhD, is an academic administrator VII at the University of California San Francisco (UCSF). She directs the Biostatistics Core at the UCSF's Kidney Health Research Collaborative. She also serves as the principal biostatistician for the Fat Redistribution and Metabolic Change in HIV Infection Study and the HIV Kidney Substudy. Her research focuses on the study of HIV infection and its complications


  1. Scherzer R, Gandhi M, Estrella MM, Tien PC, Deeks SG, Grunfeld C, et al. A chronic kidney disease risk score to determine tenofovir safety in a prospective cohort of HIV-positive male veterans. AIDS. 2014 Jun 1;28(9):1289-95.
  2. Woolnough EL, Hoy JF, Cheng AC, Walker RG, Chrysostomou A, Woolley I, et al. Predictors of chronic kidney disease and utility of risk prediction scores in HIV-positive individuals. AIDS. 2018 Aug 24;32(13):1829-1835
  3. Mocroft A, Lundgren JD, Ross M, Law M, Reiss P, Kirk O, et al; D:A:D study group; Royal Free Hospital Clinic Cohort; INSIGHT study group; SMART study group; ESPRIT study group. Development and validation of a risk score for chronic kidney disease in HIV infection using prospective cohort data from the D:A:D study. PLoS Med. 2015 Mar 31;12(3):e1001809.
  4. Woolnough EL, Hoy JF, Cheng AC, Walker RG, Chrysostomou A, Woolley I. et al. Predictors of chronic kidney disease and utility of risk prediction scores in HIV-positive individuals. AIDS. 2018 Aug 24;32(13):1829-1835.