Cited 19 times in
Renal Dysfunction during Tenofovir Use in a Regional Cohort of HIV-Infected Individuals in the Asia-Pacific
DC Field | Value | Language |
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dc.contributor.author | 최준용 | - |
dc.date.accessioned | 2017-10-26T08:10:15Z | - |
dc.date.available | 2017-10-26T08:10:15Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/153060 | - |
dc.description.abstract | BACKGROUND: In resource-limited settings, routine monitoring of renal function during antiretroviral therapy (ART) has not been recommended. However, concerns for tenofovir disoproxil fumarate (TDF)-related nephrotoxicity persist with increased use. METHODS: We investigated serum creatinine (S-Cr) monitoring rates before and during ART and the incidence and prevalence of renal dysfunction after starting TDF by using data from a regional cohort of HIV-infected individuals in the Asia-Pacific. Time to renal dysfunction was defined as time from TDF initiation to the decline in estimated glomerular filtration rate (eGFR) to <60 ml/min/1.73m2 with >30% reduction from baseline using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation or the decision to stop TDF for reported TDF-nephrotoxicity. Predictors of S-Cr monitoring rates were assessed by Poisson regression and risk factors for developing renal dysfunction were assessed by Cox regression. RESULTS: Among 2,425 patients who received TDF, S-Cr monitoring rates increased from 1.01 to 1.84 per person per year after starting TDF (incidence rate ratio 1.68, 95%CI 1.62-1.74, p <0.001). Renal dysfunction on TDF occurred in 103 patients over 5,368 person-years of TDF use (4.2%; incidence 1.75 per 100 person-years). Risk factors for developing renal dysfunction included older age (>50 vs. ≤30, hazard ratio [HR] 5.39, 95%CI 2.52-11.50, p <0.001; and using PI-based regimen (HR 1.93, 95%CI 1.22-3.07, p = 0.005). Having an eGFR prior to TDF (pre-TDF eGFR) of ≥60 ml/min/1.73m2 showed a protective effect (HR 0.38, 95%CI, 0.17-0.85, p = 0.018). CONCLUSIONS: Renal dysfunction on commencing TDF use was not common, however, older age, lower baseline eGFR and PI-based ART were associated with higher risk of renal dysfunction during TDF use in adult HIV-infected individuals in the Asia-Pacific region. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Public Library of Science | - |
dc.relation.isPartOf | PLOS ONE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Anti-HIV Agents/adverse effects* | - |
dc.subject.MESH | Anti-HIV Agents/therapeutic use | - |
dc.subject.MESH | Creatinine/blood | - |
dc.subject.MESH | Databases, Factual | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Glomerular Filtration Rate | - |
dc.subject.MESH | HIV Infections/drug therapy* | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Kidney/drug effects* | - |
dc.subject.MESH | Kidney/physiopathology* | - |
dc.subject.MESH | Kidney Diseases/chemically induced* | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Poisson Distribution | - |
dc.subject.MESH | Proportional Hazards Models | - |
dc.subject.MESH | Prospective Studies | - |
dc.subject.MESH | Risk Factors | - |
dc.subject.MESH | Tenofovir/adverse effects* | - |
dc.subject.MESH | Tenofovir/therapeutic use | - |
dc.title | Renal Dysfunction during Tenofovir Use in a Regional Cohort of HIV-Infected Individuals in the Asia-Pacific | - |
dc.type | Article | - |
dc.publisher.location | United States | - |
dc.contributor.college | College of Medicine | - |
dc.contributor.department | Dept. of Internal Medicine | - |
dc.contributor.googleauthor | Junko Tanuma | - |
dc.contributor.googleauthor | Awachana Jiamsakul | - |
dc.contributor.googleauthor | AbhimanyuMakane | - |
dc.contributor.googleauthor | Anchalee Avihingsanon | - |
dc.contributor.googleauthor | Oon Tek Ng | - |
dc.contributor.googleauthor | Sasisopin Kiertiburanakul | - |
dc.contributor.googleauthor | Romanee Chaiwarith | - |
dc.contributor.googleauthor | Nagalingeswaran Kumarasamy | - |
dc.contributor.googleauthor | KinhVanNguyen | - |
dc.contributor.googleauthor | Thuy Thanh Pham | - |
dc.contributor.googleauthor | ManPo Lee | - |
dc.contributor.googleauthor | Rossana Ditangco | - |
dc.contributor.googleauthor | Tuti Parwati Merati | - |
dc.contributor.googleauthor | Jun Yong Choi | - |
dc.contributor.googleauthor | WingWai Wong | - |
dc.contributor.googleauthor | Adeeba Kamarulzaman | - |
dc.contributor.googleauthor | Evy Yunihastuti1 | - |
dc.contributor.googleauthor | Benedict LH Sim | - |
dc.contributor.googleauthor | Winai Ratanasuwan | - |
dc.contributor.googleauthor | Pacharee Kantipong | - |
dc.contributor.googleauthor | Fujie Zhang | - |
dc.contributor.googleauthor | Mahiran Mustafa | - |
dc.contributor.googleauthor | Vonthanak Saphonn | - |
dc.contributor.googleauthor | Sanjay Pujari | - |
dc.contributor.googleauthor | Annette H. Sohn | - |
dc.identifier.doi | 10.1371/journal.pone.0161562 | - |
dc.contributor.localId | A04191 | - |
dc.relation.journalcode | J02540 | - |
dc.identifier.eissn | 1932-6203 | - |
dc.identifier.pmid | 27560968 | - |
dc.contributor.alternativeName | Choi, Jun Yong | - |
dc.contributor.affiliatedAuthor | Choi, Jun Yong | - |
dc.citation.volume | 11 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | e0161562 | - |
dc.identifier.bibliographicCitation | PLOS ONE, Vol.11(8) : e0161562, 2016 | - |
dc.date.modified | 2017-10-24 | - |
dc.identifier.rimsid | 41064 | - |
dc.type.rims | ART | - |
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