| Literature DB >> 26612609 |
Lauro Ferreira da Silva Pinto Neto1, Bil Randerson Bassetti2, Igor Hernandes Valvassoura Fraga3, Carolina Rocio Oliveira Santos4, Paula Daher Ximenes5, Angélica Espinosa Miranda6.
Abstract
In this study, 275 patients in use of tenofovir were retrospectively followed-up for three years to evaluate risk factors involved in impaired renal function. Analysis of variance (ANOVA) and Tukey's test were used to verify any differences in creatinine levels and estimated clearance at 0, 6, 12, 24 and 36 months, adjusting for the co-variables sex, skin color, age >50 years, arterial hypertension, diabetes and the use of the ritonavir-boosted protease inhibitors (PI/r) lopinavir/r or atazanavir/r. The software package STATISTICA 10(®) was used for statistical analysis. The patients' mean age was 43.2±10.7 years. Systemic arterial hypertension (SAH) and diabetes were found in 20.4% and 8.7% of the patients, respectively. Overall, 96.7% were on tenofovir associated with lamivudine (TDF+3TC), 39.3% on lopinavir/r, 29.8% on efavirenz, and 17.6% on atazanavir/r. There was a statistically significant difference in estimated creatinine clearance at 24 months, when the co-variables male (F=3.95; p=0.048), SAH (F=6.964; p=0.009), and age over 50 years (F=45.81; p<0.001) were taken into consideration. Analysis of the co-variable use of atazanavir/r showed a tendency toward an increased risk over time (F=2.437; p=0.063); however, no significant time interaction was seen. At 36-month, a statistically significant difference was found for age over 50 years, (F=32.02; p<0.05) and there was a significant time-by-sex interaction (F=3.117; p=0.0149). TDF was discontinued in 12 patients, one because of a femoral neck fracture (0.7%) and 11 due to nephrotoxicity (4%). Of these latter cases, 9/11 patients were also using protease inhibitors. These data strongly alert that tenofovir use should be individualized with careful attention to renal function especially in male patients, over 50 years, with SAH, and probably those on ATV/r.Entities:
Keywords: HIV; Impaired renal function; Nephrotoxicity; Tenofovir
Mesh:
Substances:
Year: 2015 PMID: 26612609 PMCID: PMC9425349 DOI: 10.1016/j.bjid.2015.09.004
Source DB: PubMed Journal: Braz J Infect Dis ISSN: 1413-8670 Impact factor: 3.257
Characteristics of HIV mono-infected patients and co-infected with HBV or with HCV at the outpatient HIV clinic at Santa Casa de Vitoria, ES, 2006–2013.
| N° | % | |
|---|---|---|
| Male | 171 | 62.2 |
| Female | 104 | 37.8 |
| White | 98 | 35.6 |
| No white | 176 | 64.0 |
| Missing | 1 | 0.4 |
| 20–30 | 23 | 8.4 |
| 30–40 | 84 | 30.5 |
| 40–50 | 91 | 33.1 |
| 50–60 | 53 | 19.3 |
| Over 60 | 24 | 8.7 |
| Heterosexual | 171 | 62.2 |
| MSM | 77 | 28.0 |
| IDU | 12 | 4.4 |
| Transfusion | 2 | 0.7 |
| Unknown | 13 | 4.7 |
| Arterial hypertension | 56 | 20.4 |
| Diabetes | 24 | 8.7 |
Men who made sex with men.
Injection drug users.
Repeated measures analysis of variance (ANOVA) comparing estimated creatinine clearance (CKD-EPI) evolution in time to male sex, skin color, diabetes, use of PI/r, use of atazanavir, SAH, and age over 50 s.
| Time ≤24 months | ||
|---|---|---|
| Factors | ||
| Time | 10.859 | |
| Male sex | 3.950 | |
| Time-by-sex | 2.223 | 0.084 |
| Time | 14.772 | |
| Skin color | 0.387 | 0.535 |
| Time-by-skin color | 2.201 | 0.087 |
| Time | 9.719 | |
| Diabetes | 0.812 | 0.369 |
| Time-by-diabetes | 1.851 | 0.137 |
| Time | 12.405 | |
| PI/r | 0.086 | 0.769 |
| Time-by-PI/r | 0.725 | 0.537 |
| Time | 12.495 | |
| Atazanavir | 3.199 | 0.075 |
| Time-by-atazanavir | 2.437 | 0.064 |
| Time | 13.180 | |
| SAH | 6.964 | |
| Time-by-SAH | 0.894 | 0.444 |
| Time | 15.542 | |
| Age > 50 | 45.814 | |
| Time-by-age | 2.183 | 0.089 |
Values in bold show p < 0.05.
Fig. 124 months follow-up of Creatinine Clearance (CKD-Epi) in patients stratified by ATV/r use.
Tukey's test for multiple analysis for creatinine clearance (CKD-EPI) and time-by-sex interaction.
| Sex | Time (months) | {1} | {2} | {3} | {4} | {5} | {6} | {7} | {8} | {9} | {10} |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Male | 0 | 0.331 | 0.814 | 0.994 | 0.465 | 0.498 | 0.442 | ||||
| Male | 6 | 0.331 | 0.792 | 0.196 | 1.000 | 1.000 | 0.994 | 0.996 | 0.992 | ||
| Male | 12 | 0.792 | 0.995 | 0.166 | 1.000 | 0.984 | 1.000 | 1.000 | 1.000 | ||
| Male | 24 | 0.196 | 0.995 | 0.749 | 0.997 | 0.854 | 1.000 | 1.000 | 1.000 | ||
| Male | 36 | 0.166 | 0.749 | 0.735 | 0.272 | 0.958 | 0.948 | 0.965 | |||
| Female | 0 | 0.814 | 1.000 | 1.000 | 0.997 | 0.735 | 0.992 | 0.999 | 1.000 | 0.999 | |
| Female | 6 | 0.994 | 1.000 | 0.984 | 0.854 | 0.272 | 0.992 | 0.761 | 0.800 | 0.731 | |
| Female | 12 | 0.465 | 0.994 | 1.000 | 1.000 | 0.958 | 0.999 | 0.761 | 1.000 | 1.000 | |
| Female | 24 | 0.498 | 0.996 | 1.000 | 1.000 | 0.948 | 1.000 | 0.800 | 1.000 | 1.000 | |
| Female | 36 | 0.442 | 0.992 | 1.000 | 1.000 | 0.965 | 0.999 | 0.731 | 1.000 | 1.000 |
Values in bold show p < 0.05.