Literature DB >> 20672995

Enrollment, retention, and visit attendance in the University of North Carolina Center for AIDS Research HIV clinical cohort, 2001-2007.

Chanelle J Howe1, Stephen R Cole, Sonia Napravnik, Joseph J Eron.   

Abstract

Predictors of study retention and scheduled visit attendance in the University of North Carolina Center for AIDS Research (UNC CFAR) prospective clinical cohort of HIV-infected patients enrolled between 1 January 2001 and 1 January 2008 are reported. At study entry, 1636 participants were 32% female, 58% were African-American, 49% had not received HIV care elsewhere, 71% were receiving or initiated combination antiretroviral therapy, and 26% were diagnosed with AIDS, with median (quartiles) age of 40 (34; 47) years, distance to clinic of 45 (21; 70) miles, HIV-1 RNA of 1396 (200; 26,750) copies/ml, and CD4 of 374 (182; 602) cells/mm(3). Participants contributed a median of 7 (4; 13) scheduled visits and 2.25 (1.0; 3.9) years alive under follow-up. During 6134 person-years of follow-up, 414 participants dropped out and 145 died. Accounting for differences in death by participant characteristics, the 6-year cumulative probability of retention was 67% [95% confidence limits (CL): 65, 70%], with 6.75 (95% CL: 6.13, 7.43) drop outs per 100 person-years. In a multivariable Cox proportional hazards model, retention was higher among participants who were insured, had not received HIV care elsewhere, had controlled HIV viremia, and were living in nonurban areas or proximate to the clinic. In a multivariable modified Poisson regression model that accounted for differences in drop out and death by participant characteristics, visit attendance was higher among older, AIDS-diagnosed, immune compromised, and cART-initiated participants. The UNC CFAR clinical cohort has ample enrollment with retention and visit attendance modestly influenced by factors such as disease severity.

Entities:  

Mesh:

Year:  2010        PMID: 20672995      PMCID: PMC2957633          DOI: 10.1089/aid.2009.0282

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  14 in total

1.  Correcting for noncompliance and dependent censoring in an AIDS Clinical Trial with inverse probability of censoring weighted (IPCW) log-rank tests.

Authors:  J M Robins; D M Finkelstein
Journal:  Biometrics       Date:  2000-09       Impact factor: 2.571

2.  Adjusted survival curves with inverse probability weights.

Authors:  Stephen R Cole; Miguel A Hernán
Journal:  Comput Methods Programs Biomed       Date:  2004-07       Impact factor: 5.428

3.  A modified poisson regression approach to prospective studies with binary data.

Authors:  Guangyong Zou
Journal:  Am J Epidemiol       Date:  2004-04-01       Impact factor: 4.897

4.  Interval and clinical cohort studies: epidemiological issues.

Authors:  Bryan Lau; Stephen J Gange; Richard D Moore
Journal:  AIDS Res Hum Retroviruses       Date:  2007-06       Impact factor: 2.205

5.  Understanding the clinical and economic outcomes of HIV therapy: the Johns Hopkins HIV clinical practice cohort.

Authors:  R D Moore
Journal:  J Acquir Immune Defic Syndr Hum Retrovirol       Date:  1998

6.  Predictors of outpatient medical appointment attendance among persons with HIV.

Authors:  S L Catz; J B McClure; G N Jones; P J Brantley
Journal:  AIDS Care       Date:  1999-06

7.  Temporal trends in the incidence of human immunodeficiency virus infection and risk behavior among injection drug users in Baltimore, Maryland, 1988-1998.

Authors:  Kenrad E Nelson; Noya Galai; Mahboobeh Safaeian; Steffanie A Strathdee; David D Celentano; David Vlahov
Journal:  Am J Epidemiol       Date:  2002-10-01       Impact factor: 4.897

8.  Inverse probability-of-censoring weights for the correction of time-varying noncompliance in the effect of randomized highly active antiretroviral therapy on incident AIDS or death.

Authors:  Lauren E Cain; Stephen R Cole
Journal:  Stat Med       Date:  2009-05-30       Impact factor: 2.373

9.  Failure to establish HIV care: characterizing the "no show" phenomenon.

Authors:  Michael J Mugavero; Hui-Yi Lin; Jeroan J Allison; James H Willig; Pei-Wen Chang; Malcolm Marler; James L Raper; Joseph E Schumacher; Maria Pisu; Michael S Saag
Journal:  Clin Infect Dis       Date:  2007-05-23       Impact factor: 9.079

10.  Cohort profile: the Centers for AIDS Research Network of Integrated Clinical Systems.

Authors:  Mari M Kitahata; Benigno Rodriguez; Richard Haubrich; Stephen Boswell; W Christopher Mathews; Michael M Lederman; William B Lober; Stephen E Van Rompaey; Heidi M Crane; Richard D Moore; Michael Bertram; James O Kahn; Michael S Saag
Journal:  Int J Epidemiol       Date:  2008-02-08       Impact factor: 7.196

View more
  28 in total

1.  Splines for trend analysis and continuous confounder control.

Authors:  Chanelle J Howe; Stephen R Cole; Daniel J Westreich; Sander Greenland; Sonia Napravnik; Joseph J Eron
Journal:  Epidemiology       Date:  2011-11       Impact factor: 4.822

2.  Establishment, retention, and loss to follow-up in outpatient HIV care.

Authors:  John A Fleishman; Baligh R Yehia; Richard D Moore; P Todd Korthuis; Kelly A Gebo
Journal:  J Acquir Immune Defic Syndr       Date:  2012-07-01       Impact factor: 3.731

3.  Postpartum HIV care continuum outcomes in the southeastern USA.

Authors:  Jane S Chen; Brian W Pence; Lisa Rahangdale; Kristine B Patterson; Claire E Farel; Amy L Durr; Amanda C Antono; Oksana Zakharova; Joseph J Eron; Sonia Napravnik
Journal:  AIDS       Date:  2019-03-15       Impact factor: 4.177

4.  DOUBLY ROBUST ESTIMATION OF OPTIMAL TREATMENT REGIMES FOR SURVIVAL DATA-WITH APPLICATION TO AN HIV/AIDS STUDY.

Authors:  Runchao Jiang; Wenbin Lu; Rui Song; Michael G Hudgens; Sonia Naprvavnik
Journal:  Ann Appl Stat       Date:  2017-10-05       Impact factor: 2.083

5.  HIV stigma as a barrier to retention in HIV care at a general hospital in Lima, Peru: a case-control study.

Authors:  Carla Valenzuela; Cesar Ugarte-Gil; Jorge Paz; Juan Echevarria; Eduardo Gotuzzo; Sten H Vermund; Aaron M Kipp
Journal:  AIDS Behav       Date:  2015-02

6.  Retention of clinical trial participants in a study of nongonococcal urethritis (NGU), a sexually transmitted infection in men.

Authors:  Jeannette Y Lee; Shelly Y Lensing; Jane R Schwebke
Journal:  Contemp Clin Trials       Date:  2012-01-12       Impact factor: 2.226

7.  Comparing different measures of retention in outpatient HIV care.

Authors:  Baligh R Yehia; John A Fleishman; Joshua P Metlay; P Todd Korthuis; Allison L Agwu; Stephen A Berry; Richard D Moore; Kelly A Gebo
Journal:  AIDS       Date:  2012-06-01       Impact factor: 4.177

8.  Selection Bias Due to Loss to Follow Up in Cohort Studies.

Authors:  Chanelle J Howe; Stephen R Cole; Bryan Lau; Sonia Napravnik; Joseph J Eron
Journal:  Epidemiology       Date:  2016-01       Impact factor: 4.822

9.  African American race and HIV virological suppression: beyond disparities in clinic attendance.

Authors:  Chanelle J Howe; Sonia Napravnik; Stephen R Cole; Jay S Kaufman; Adaora A Adimora; Beth Elston; Joseph J Eron; Michael J Mugavero
Journal:  Am J Epidemiol       Date:  2014-05-08       Impact factor: 4.897

10.  Laboratory Measures as Proxies for Primary Care Encounters: Implications for Quantifying Clinical Retention Among HIV-Infected Adults in North America.

Authors:  Peter F Rebeiro; Keri N Althoff; Bryan Lau; John Gill; Alison G Abraham; Michael A Horberg; Mari M Kitahata; Baligh R Yehia; Hasina Samji; John T Brooks; Kate Buchacz; Sonia Napravnik; Michael J Silverberg; Anita Rachlis; Kelly A Gebo; Timothy R Sterling; Richard D Moore; Stephen J Gange
Journal:  Am J Epidemiol       Date:  2015-11-17       Impact factor: 4.897

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.