Comparison of methods to correct survival estimates and survival regression analysis on a large HIV African cohort.
Comparison of methods to correct survival estimates and survival regression analysis on a large HIV African cohort.
复制标题
DOI:
10.1371/journal.pone.0031706
复制
发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Ecochard R
中科院分区:
文献类型:
--
作者:
Henriques J;Pujades-Rodriguez M;McGuire M;Szumilin E;Iwaz J;Etard JF;Ecochard R
The evaluation of HIV treatment programs is generally based on an estimation of survival among patients receiving antiretroviral treatment (ART). In large HIV programs, loss to follow-up (LFU) rates remain high despite active patient tracing, which is likely to bias survival estimates and survival regression analyses. We compared uncorrected survival estimates derived from routine program data with estimates obtained by applying six correction methods that use updated outcome data by a field survey targeting LFU patients in a rural HIV program in Malawi. These methods were based on double-sampling and differed according to the weights given to survival estimates in LFU and non-LFU subpopulations. We then proposed a correction of the survival regression analysis. Among 6,727 HIV-infected adults receiving ART, 9% were LFU after one year. The uncorrected survival estimates from routine data were 91% in women and 84% in men. According to increasing sophistication of the correction methods, the corrected survival estimates ranged from 89% to 85% in women and 82% to 77% in men. The estimates derived from uncorrected regression analyses were highly biased for initial tuberculosis mortality ratios (RR; 95% CI: 1.07; 0.76–1.50 vs. 2.06 to 2.28 with different correction weights), Kaposi sarcoma diagnosis (2.11; 1.61–2.76 vs. 2.64 to 3.9), and year of ART initiation (1.40; 1.17–1.66 vs. 1.29 to 1.34). In HIV programs with high LFU rates, the use of correction methods based on non-exhaustive double-sampling data are necessary to minimise the bias in survival estimates and survival regressions.
登录
查看更多内容
影响因子:
3
作者:
Lanoy, E.;Lewden, C.;Costagliola, D.
通讯作者:
Costagliola, D.
DOI:
10.1111/j.1365-3156.2010.02507.x
发表时间:
2010-06
期刊:
Tropical medicine & international health : TM & IH
影响因子:
--
作者:
Geng EH;Glidden DV;Emenyonu N;Musinguzi N;Bwana MB;Neilands TB;Muyindike W;Yiannoutsos CT;Deeks SG;Bangsberg DR;Martin JN
通讯作者:
Martin JN
DOI:
10.1111/j.1365-3156.2010.02473.x
发表时间:
2010-04
期刊:
Tropical medicine & international health : TM & IH
影响因子:
--
作者:
Fox MP;Brennan A;Maskew M;MacPhail P;Sanne I
通讯作者:
Sanne I
影响因子:
1.9
作者:
Frangakis, CE;Rubin, DB
通讯作者:
Rubin, DB
影响因子:
3.7
作者:
COOK, JR;STEFANSKI, LA
通讯作者:
STEFANSKI, LA