Chronic kidney disease and its associated factors in HIV-infected individuals: a comparison of antiretroviral therapy naïve and experienced patients

The prevalence of CKD was found to be higher among HAART-experienced individuals than HAART-naïve individuals. Regular renal function assessments should be conducted before and during HAART to mitigate the risk of renal dysfunction.

Authors

Institutions

Publication Details

Journal
Frontiers in Medicine
Published
2024-11-11
DOI
https://doi.org/10.3389/fmed.2024.1455688
Citations
6
Primary Topic
HIV-related health complications and treatments
Type
article
Field-Weighted Citation Impact
4.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chronic kidney disease and its associated factors in HIV-infected individuals: a comparison of antiretroviral therapy naïve and experienced patients

Daniel Asmelash, Marye Nigatie
6 citations
Frontiers in Medicine
HIV-related health complications and treatments
4.15
article

Chronic kidney disease and its associated factors in HIV-infected individuals: a comparison of antiretroviral therapy naïve and experienced patients

Daniel Asmelash, Marye Nigatie
article en
6 citations

Abstract

The prevalence of CKD was found to be higher among HAART-experienced individuals than HAART-naïve individuals. Regular renal function assessments should be conducted before and during HAART to mitigate the risk of renal dysfunction.

Frontiers in MedicineVol. 11
Mizan Tepi University (ET), Woldia University (ET)
Good health and well-being
Openalex Percentile: Top 6%
HIV-related health complications and treatments
4.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.