| Literature DB >> 32951563 |
Mohammed I Danjuma1, Shaikha Al Shokri1, Nadia Bakhsh1, Mohammed A Alamin1, Mohamed Gh Mohamedali1, Igbiks Tamuno2.
Abstract
There are increasing reports of antiretroviral therapy (ART) drug-related kidney dysfunction. Traditional markers of kidney dysfunction such as urine protein/creatinine ratio and estimated glomerular filtration rate (eGFR) have thus far proven ineffective at detecting some sub-clinical forms of ART-related kidney injury. This is a cross-sectional examination of 114 people living with HIV (PLWH), either naïve (N =104) or treatment experienced (N =10). Urinary kidney injury molecule-1 (KIM-1 ng/mg) thresholds were estimated using electrochemiluminescent assays from stored urine samples and normalised for urinary creatinine excretion (KIM-1/Cr). Correlation coefficients and predictors of kidney tubular injury were compared and derived for both adjusted and unadjusted urinary KIM-1/CR (ng/mg). In PLWH (both ART-naïve and treatment experienced) had a higher baseline unadjusted and adjusted median (≥3.7 ng/mg) and upper tertile (≥6.25 ng/mg) urinary KIM-1/Cr levels compared to either non-normal volunteers (0.39 ng/mg) or those with acute kidney injury in the general population (0.57 ng/mg). When upper tertile KIM-1/Cr (≥6.25 ng/mg) was utilised as a marker of kidney injury, eGFR (ml/min/1.73 m2), white Caucasian ethnicity, and protease inhibitor exposure were significantly associated with increased risk of kidney injury in multivariate analyses (odds ratio 0.91, confidence interval [CI] 0.68-0.98, P = 0.02; odds ratio 8.9, CI 1.6-48.6, p = 0.01; and odds ratio 0.05, CI 0.03-0.9, p =0.04, respectively). We found a significant degree of sub-clinical kidney injury (high unadjusted and adjusted KIM-1/Cr) in PLWH with normal kidney function (eGFR ≥60 ml/min/1.73 m2). We also found a higher baseline KIM-1/Cr (ng/mg) in our study cohort than reported both in normal volunteers and patients with kidney injury in the general population.Entities:
Keywords: HIV; Kidney injury molecule-1; antiretroviral therapy drugs; proteinuria
Year: 2020 PMID: 32951563 PMCID: PMC7754827 DOI: 10.1177/0956462420918515
Source DB: PubMed Journal: Int J STD AIDS ISSN: 0956-4624 Impact factor: 1.359
Figure 1.Study flow chart. ART: antiretroviral therapy.
Baseline characteristics of the DETIKI (cross-sectional cohort) study population (N = 114).
| Variable | All patients | TDF-regimen | PI-regimen | P |
|---|---|---|---|---|
| Age (years) (mean, SD) | 43.1 (9.9) | 42.6 (10) | 42.9±9.56 | 0.38 |
| Male gender (N, %) | 80 (100) | 50 (63) | 30 (37) | 0.26 |
| White Caucasian (N, %) | 84 (100) | 33 (40) | 51 (60) | 0.55 |
| Duration of HIV in years (Med, IQR) | 8 (4, 12) | 7 (4, 11.8) | 10.2 (5, 13) | 0.26 |
| Serum creatinine (mmol/l) (Med, IQR) | 83.5 (69, 93) | 84 (68.5, 91) | 82 (66.5, 91.5) | 0.74 |
| eGFR (ml/min/1.73 m2) (Med, IQR) | 85 (74, 90) | 86 (76, 90) | 89 (76, 90) | 0.22 |
| Serum phosphate (mmol/l) (Med, IQR) | 0.96 (0.86, 1.06) | 0.96 (0.88, 1.06) | 0.99 (0.91, 1.06) | 0.76 |
| CD4 cell count (cells/mm3) (Med, IQR) | 565 (401, 665) | 562 (435, 681) | 556 (387, 620) | 0.51 |
| HIV viral load (copies/ml) (Med, IQR) | 10 (10, 10) | 10 (10, 32) | 0.41 | |
| Hepatitis B positive (N, %) | 15 (20.2) | 11(73.3) | 4 (26.7) | 0.92 |
| Hepatitis C positive (N, %) | 5 (100) | 4 (90) | 1 (10) | 0.69 |
| Diabetes mellitus (N, %) | 4 (3.5) | 4 | 0 | – |
| Hypertension (N, %) | 6 (100) | 4 (66.7) | 2 (33.3) | – |
DETIKI: determinants of Tenofovir-induced Kidney Injury; eGFR: estimated glomerular filtration rate; IQR: inter-quartile range; Med: median; N: number of patients; SD: standard deviation; TDF: tenofovir disoproxil fumarate.
Comparative distribution of kidney biomarkers by antiretroviral therapy regimen.
| All patients | ART-naïve | ART/TDF | ART/PI | TDF/PI | Other cART | P | |
|---|---|---|---|---|---|---|---|
| Number of patients ( | 7 | 41 | 13 | 31 | 31 | ||
| KIM-1/Cr (ng/mg) | 3.7 (1.5, 8.2) | 3.35 (1.6, 8.2) | 5.37 (3.4, 10.3) | 2.28 (0.48, 6.75) | 6.17 (1.73, 9.0) | 0.07 | |
| Log KIM-1/Cr (ng/mg) | – | 0.52 (0.22, 0.91) | 0.78 (0.59, 1.05) | 0.45 (0.40, 0.85) | 0.79 (0.23, 0.95) | 0.13 | |
| Urine PCR (mg/mmol) | 11 (8, 17) | 12 (9, 23.5) | 15 (8.0, 67.2.) | 8 (6, 11) | 14 (8.2, 30) | 0.02 | |
| Log urine PCR (mg/mmol) | – | 1.0 (0.9, 1.3) | 1.16 (0.94, 1.64) | 0.90 (0.77, 1.05) | 1.14 (0.91, 1.46) | 0.03 | |
| eGFR (ml/min/1.73 m2) | 85 (74, 90) | 82 (71, 90) | 90, (77.5, 90) | 82 (72.7, 90) | 89 (64.5, 90) | 0.78 | |
| Log eGFR | – | 1.91 (1.85, 1.95) | 1.95 (1.88, 1.95) | 1.91 (1.86, 1.95) | 1.94 (1.80, 1.95) | 0.7 |
ART: antiretroviral therapy; eGFR: estimated glomerular filtration rate; IQR: inter-quartile range; KIM-1: kidney injury molecule 1; other cART: these include integrase inhibitors, entry inhibitors, NNRTIs; PI: protease inhibitors; TDF: tenofovir disoproxil fumarate; urine PCR: urine protein/creatinine ratio.
P value is for group comparison between ART classes.
Figure 2.Box plot showing distribution of KIM-1/Cr stratified by tenofovir disoproxil fumarate exposure. KIM-1: kidney injury molecule 1.
Figure 3.Relationship between unadjusted KIM-1/Cr and stratified urine PCR. Log KIM-/Cr (ng/mg) examined as a function of stratified urinary protein excretion in HIV-positive patients. Patients with urinary protein excretion below diagnostic thresholds have significantly high levels of urinary KIM-1 (corrected for urinary creatinine excretion). KIM-1: kidney injury molecule 1; urine PCR: urine protein/creatinine ratio.
Figure 4.Relationship between log KIM-1/Cr and categories of eGFR. HIV-positive patients with >60 ml/min/1.73 m2 had significant urinary KIM-1 (corrected for urinary creatinine excretion). eGFR: estimated glomerular filtration rate; KIM-1: kidney injury molecule 1.
Distribution of kidney biomarkers in the two cross-sectional study arms.
| Variable | All patients | Cross-sectional on ART | Cross-sectional off ART | P | |
|---|---|---|---|---|---|
| KIM-1/Cr (ng/mg) |
| 4.1 (1.7, 8.3) | 4.15 (1.7, 8.6) | 4.7 (1.9, 5.4) | 0.1 |
| Log KIM-1/Cr (ng/mg) |
| 0.61 (0.23, 0.92) | 0.56 (0.56) | 0.54 (0.39) | 0.5 |
| Urine PCR (mg/mmol) |
| 11 (8, 17) | 11 (8, 17) | 122 (6, 122) | 0.5 |
| Log urine PCR (mg/mmol) |
| 1.0 (0.9, 1.2) | 1.0 (0.45) | 1.6 (1.1) | 0.5 |
| eGFR (ml/min/1.73 m2) |
| 85 (75, 90) | 85 (75, 90) | 90 (63, 90) | 0.2 |
ART: antiretroviral therapy; eGFR: estimated glomerular filtration rate; IQR: inter-quartile range; KIM-1: kidney injury molecule 1; urine PCR: urine protein/creatinine ratio.
Figure 5.Diagnostic potential of KIM-1/Cr in HIV-positive patients on ART. Urinary KIM-1/Cr predicts the risk of kidney injury as defined by increased urinary protein expression (urine PCR). AUC 94% sensitivity at 60% specificity is given with statistical significance. AUC: area under the curve; CI: confidence interval.
Key correlation matrix between unadjusted/adjusted urinary KIM-1/Cr and other markers of kidney function.
Unadjusted urinary KIM-1/Cr (ng/mg) | Upper tertile urinary KIM-1/Cr (ng/mg) | Median urinary KIM-1/Cr (ng/mg) | Upper quartile urinary KIM-1/Cr (ng/mg) | |||||
|---|---|---|---|---|---|---|---|---|
| r | P | r | P | r | P | r | P | |
| Serum creatinine (mmol/l) | 0.067 | 0.48 | 0.01 | 0.9 | 0.14 | 0.4 | 0.07 | 0.71 |
| eGFR (ml/min/1.73 m2) | −0.14 | 0.13 | −0.15 | 0.35 | −0.22 | 0.13 | −0.19 | 0.3 |
| Urine PCR (mg/mmol) | 0.35 | 0.003 | 0.29 | 0.22 | 0.34 | 0.06 | 0.28 | 0.2 |
eGFR: estimated glomerular filtration rate; KIM-1: kidney injury molecule 1; urine PCR: urine protein/creatinine ratio.
r = Spearman’s correlation coefficient; significance level at <0.05.
Univariate and multivariate adjusted odds ratios of upper quartile urinary KIM-1/Cr (ng/mg).
Univariate | Multivariate | |||
|---|---|---|---|---|
| OR (CI) | P | Adjusted OR (CI) | P | |
| Age (years) | 1.1 (1.0–1.1) | 0.001 | ||
| Gender (male) | 2.3 (0.8–6.0) | 0.08 | ||
| White Caucasian ethnicity | 0.24 (0.07–0.76) | 0.015 | 0.05 (0.003–0.9) | 0.04 |
| HIV duration (per year increase) | 1.1 (1.0–1.2) | 0.03 | ||
| Tenofovir exposure (months) | 1.0 (1.0–1.03) | 0.09 | ||
| HIV protease inhibitor exposure (months) | 2.3 (0.9–5.2) | 0.05 | 6.3 (1.1–36.6) | 0.03 |
| Abacavir naïve | 0.2 (0.03–0.8) | 0.02 | ||
| Diabetes | 3.1 (0.4–23.8) | 0.26 | ||
| Hypertension (mmHg) | 1.6 (0.3–9.4) | 0.59 | ||
| Smoking (yes) | 2.8 (1.1–7.3) | 0.028 | ||
| HIV viral load | 1.0 (0.9–1.0) | 0.7 | ||
| eGFR (ml/min/1.73 m2) | 0.97 (0.93–1.0) | 0.06 | 0.9 (0.83–0.98) | 0.01 |
| eGFR (>70) | 0.9 (0.8–0.9) | 0.01 | ||
| Current CD4 cell count (per 50 cells/mm3 increase) | 0.9 (0.9–1.0) | 0.04 | – | – |
| Nadir CD4 cell count (per 50 cells/mm3 increase) | 1.0 (0.9–1.0) | 0.03 | – | – |
| Hepatitis C positive | 0.6 (0.07–4.1) | 0.5 | – | – |
| Hepatitis B positive | 2.1 (0.54–8.1) | 0.3 | – | – |
CI: confidence interval; eGFR: estimated glomerular filtration rate; KIM-1: kidney injury molecule 1.