Evaluation of Renal Adverse Effects of Combination Anti-retroviral Therapy including Tenofovir in HIV-infected Patients
Bibliographic record
Abstract
PURPOSE: In order to maintain plasma HIV-RNA concentration in HIV-infected patients, below the detection limit combination anti-retroviral therapy (cART) are used. Although the nucleoside/nucleotide reverse transcriptase inhibitor, tenofovir disoproxil fumarate (TDF) is a first-line drug commonly used, it is associated with renal dysfunction. Nevertheless, only few clinical studies have focused on TDF in combination with new anti-HIV drugs, including the protease inhibitor (PI) darunavir (DRV), or the integrase strand transfer inhibitor (INSTI) raltegravir (RAL). Here we report the influence of such cART involving TDF on renal function. METHODS: We retrospectively investigated 68 patients under cART that included TDF between November 2004 and May 2012. We used hospital records to establish each patient's background and characteristics, CD4 cell count, plasma HIV-RNA concentration, drug combinations, renal function, and anti-retrovial therapy history. RESULTS: In all patients who had received cART, the plasma HIV-RNA concentration had fallen to less than 40 copies/mL by week 24 after the start of the therapy, and an increase in the CD4 cell count was observed. For each drug used in combination with TDF, the plasma HIV-RNA concentration and CD4 cell count showed a similar trend. After week 12, the estimated glomerular filtration rate (eGFR) had significantly decreased in all patients. The eGFR was significantly lower in those received PI on week 24 and in those received INSTI on week 12. The eGFR was significantly reduced in PI group who received atazanavir + ritonavir (ATV/RTV) on week 60. The eGFR in the DRV/RTV group tended to decrease. The eGFR in the PI and ATV/RTV group was significantly lower than in the efavirenz (EFV) group on week 96. CONCLUSION: It selecting drugs to include in combination therapy of HIV-infected patients, consideration should be given to the risk of renal dysfunction. There is a need to monitor renal function when TDF is combined with ATV/RTV, DRV/RTV or RAL.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".