| Literature DB >> 26317657 |
Yan Zhao1, Mingjie Zhang1, Cynthia X Shi1, Yao Zhang1, Weiping Cai2, Qingxia Zhao3, Yong Li4, Huiqin Li5, Xia Liu1, Limeng Chen6, Ye Ma1, Fujie Zhang1, Zhongfu Liu1, Zunyou Wu1.
Abstract
AIM: To identify the prevalence and predictors of abnormal renal function among HIV-positive Chinese patients prior to antiretroviral therapy (ART) initiation and to evaluate subsequent changes in renal function after ART exposure.Entities:
Mesh:
Year: 2015 PMID: 26317657 PMCID: PMC4552675 DOI: 10.1371/journal.pone.0135462
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Development of the study cohort.
Predictors of the baseline eGFR<60 ml/min/1.73m2.
| Variable | Total N(%) | eGFR<60 ml/min/1.73m2 N(%) | Unadjusted OR (95% CI) | P-Value | Adjusted OR (95% CI) | P-Value |
|---|---|---|---|---|---|---|
| Overall | 41,862 | 1,377(3.3%) | ||||
| Age (years) | ||||||
| Median (IQR) | 38 (30–48) | 54.0 (41.0–64.0) | ||||
| <50 | 32,478 (77.6%) | 594(43.1%) | 1.00 | 1.00 | ||
| ≥50 | 9,256(22.1%) | 783(56.9%) | 4.96 (4.45–5.53) | <0.001 | 5.19 (4.52–5.67) | <0.001 |
| Missing | 128(0.3%) | |||||
| Sex | ||||||
| Male | 28,685(68.5%) | 770(55.9%) | 1.00 | 1.00 | ||
| Female | 13,177(31.5%) | 607(44.1%) | 1.75 (1.57–1.95) | <0.001 | 1.68 (1.47–1.93) | <0.001 |
| BMI | ||||||
| Median (IQR) | 20.8 (19.1–22.9) | 20.8 (19.0–22.9) | ||||
| <25 | 30,852(73.7%) | 1,076(78.1%) | 1.00 | |||
| ≥25 | 3,037(7.3%) | 114(8.3%) | 1.07 (0.88–1.30) | 0.528 | ||
| Missing | 7,937(19.0%) | 187(13.6%) | ||||
| Baseline CD4 (cells/mm3) | ||||||
| Median (IQR) | 220 (105–308) | 197.0 (88.0–290.0) | ||||
| <200 | 18,201 (43.5%) | 664(48.2%) | 1.46 (1.22–1.77) | <0.001 | 1.05 (0.82–1.34) | 0.780 |
| 200–349 | 16,721(39.9%) | 508 (36.9%) | 1.22 (1.01–1.47) | 0.956 | 1.15 (0.92–1.46) | 0.130 |
| ≥350 | 5,581 (13.3%) | 140 (10.2%) | 1.00 | 1.00 | ||
| Missing | 1,359(3.2%) | 65(4.7%) | ||||
| WHO Clinical Stage | ||||||
| 1–2 | 27,424(65.5%) | 841 (61.1%) | 1.00 | 1.00 | ||
| 3–4 | 14,437(34.5%) | 536(38.9%) | 1.22 (1.09–1.36) | <0.001 | 1.02 (0.88–1.18) | 0.831 |
| Missing | 1(0.0%) | |||||
| Hemoglobin | ||||||
| Median (IQR) (g/L) | 134 (117–148) | 121.0 (103.0–136.0) | ||||
| <120 | 11,549 (27.6%) | 649 (47.1%) | 2.44 (2.19–2.72) | <0.001 | 1.84 (1.59–2.13) | <0.001 |
| ≥120 | 29,716 (71.0%) | 708(51.4%) | 1.00 | 1.00 | ||
| Missing | 597(1.4%) | 20(1.5%) | ||||
| TMP-SMZ | ||||||
| Yes | 6,653(15.9%) | 247 (17.9%) | 1.16 (1.01–1.34) | 0.035 | 0.98 (0.81–1.18) | 0.840 |
| No | 35,209(84.1%) | 1,130 (82.1%) | 1.00 | 1.00 | ||
| Blood glucose | ||||||
| Median (IQR) (mmol/L) | 5.1 (4.6–5.7) | 5.2 (4.7–6.0) | ||||
| <6.1 | 31,064 (74.2%) | 915 (66.5%) | 1.00 | 1.00 | ||
| ≥6.1 | 4,946(11.8%) | 251(18.2%) | 1.76 (1.53–2.03) | <0.001 | 1.46 (1.25–1.72) | <0.001 |
| Missing | 5,852(14.0%) | 211(15.3%) | ||||
| Hepatitis B infection | ||||||
| Yes | 3,251(7.8%) | 102(7.4%) | 0.95 (0.77–1.16) | 0.613 | ||
| No | 38,611(92.2%) | 1,275(92.6%) | 1.00 | |||
| Hepatitis C infection | ||||||
| Yes | 4,613(11.0%) | 109(7.9%) | 0.69 (0.56–0.84) | <0.001 | 1.36 (1.06–1.73) | 0.014 |
| No | 37,249(89.0%) | 1,268(92.1%) | 1.00 | 1.00 | ||
eGFR: estimated glomerular filtration rate, OR: odds ratio, CI: confidence interval, IQR: interquartile range, TMP-SMZ: trimethoprim/sulfamethoxazole
Adjusted ORs were calculated through multivariable analysis using a logistic regression model.
Cox proportional hazards model for the development of eGFR <60 ml/min/1.73m2 after ART initiation among patients with baseline eGFR >90 ml/min/1.73m2.
| Variable | Total (N) | Incidence of eGFR<60 (l/min/1.73m2) | Unadjusted HR (95% CI) | P value | Adjusted HR (95% CI) | P value |
|---|---|---|---|---|---|---|
| Overall | ||||||
| Age (years) | 21,089 | |||||
| <50 | 17,646 | 0.68 | 1.00 | 1.00 | ||
| ≥50 | 3,443 | 2.13 | 3.11 (2.42–4.00) | <0.001 | 3.88 (2.79–5.38) | <0.001 |
| Sex | ||||||
| Male | 14,551 | 0.75 | 1.00 | 1.00 | ||
| Female | 6,538 | 1.29 | 1.71 (1.34–2.18) | < .0001 | 1.56 (1.12–2.18) | 0.009 |
| BMI | ||||||
| <25 | 15,531 | 1.01 | 1.00 | |||
| ≥25 | 1,533 | 0.87 | 0.84 (0.52–1.36) | 0.472 | ||
| Missing | 4,025 | |||||
| Baseline CD4 | ||||||
| <200 | 9,358 | 1.17 | 1.79 (1.17–2.73) | 0.007 | 1.79 (0.93–3.42) | 0.081 |
| 200–350 | 8,239 | 0.76 | 1.19 (0.76–1.86) | 0.448 | 1.84 (0.98–3.46) | 0.059 |
| >350 | 2,947 | 0.63 | 1.00 | 1.00 | ||
| Missing | 545 | |||||
| WHO Clinical Stage | ||||||
| 1–2 | 13,485 | 0.81 | 1.00 | |||
| 3–4 | 7,603 | 1.11 | 1.24 (0.97–1.59) | 0.084 | ||
| Missing | 1 | |||||
| Hemoglobin (g/L) | ||||||
| <120 | 5,734 | 1.81 | 3.03 (2.37–3.87) | <0.001 | 2.12 (1.49–3.01) | <0.001 |
| ≥120 | 15141 | 0.59 | 1.00 | 1.00 | ||
| Missing | 214 | |||||
| TMP-SMZ | ||||||
| Yes | 3,429 | 1.33 | 1.52 (1.14–2.09) | 0.005 | 1.03 (0.67–1.58) | 0.884 |
| No | 17,660 | 0.84 | 1.00 | 1.00 | ||
| Blood Glucose (mmol/L) | ||||||
| <6.1 | 16,252 | 0.81 | 1.00 | |||
| ≥6.1 | 2,325 | 1.05 | 1.25 (0.86–1.81) | 0.242 | ||
| Missing | 2,512 | |||||
| Hepatitis B infection | ||||||
| Yes | 1,729 | 1.02 | 1.12 (0.74–1.70) | 0.603 | ||
| No | 19,360 | 0.91 | 1.00 | |||
| Hepatitis C infection | ||||||
| Yes | 2,341 | 1.02 | 1.18 (0.80–1.72) | 0.407 | ||
| No | 18,748 | 0.91 | 1.00 | |||
| ART Regimen | ||||||
| TDF/NNRTI | 4,335 | 1.06 | 1.38 (1.03–1.85) | 0.032 | 1.25 (0.84–1.85) | 0.273 |
| TDF/LPV/r | 639 | 2.95 | 3.87 (2.54–5.90) | <0.001 | 2.85 (1.57–5.18) | <0.001 |
| Other/NNRTI | 15,578 | 0.79 | 1.00 | 1.00 | ||
| Other/LPV/r | 537 | 1.07 | 1.34 (0.66–2.72) | 0.419 | 1.74 (0.84–3.62) | 0.140 |
| Viral load (copies/ml) | ||||||
| <400 | 12,532 | 0.60 | 1 | 1 | ||
| ≥ 400 | 1,339 | 1.51 | 2.67 (1.81–3.94) | <0.001 | 2.70 (1.80–4.03) | <0.001 |
| Missing | 7,218 |
eGFR: estimated glomerular filtration rate, HR: hazard ratios, CI: confidence interval, TMP-SMZ: trimethoprim/sulfamethoxazole, ART: antiretroviral therapy, TDF: tenofovir disoproxil fumarate, NNRTI: non-nucleoside reverse transciptase, LPV/r: lopinavir/ritonavir.
Adjusted HRs were calculated using multivariable Cox models.