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Natural history of anal dysplasia in an HIV-infected clinical care cohort: estimates using multi-state Markov modeling.


ABSTRACT:

Objectives

(1) To model the natural history of anal neoplasia in HIV-infected patients using a 3-state Markov model of anal cancer pathogenesis, adjusting for cytology misclassification; and (2) to estimate the effects of selected time-varying covariates on transition probabilities.

Design

A retrospective cytology-based inception screening cohort of HIV-infected adults was analyzed using a 3-state Markov model of clinical pathogenesis of anal neoplasia.

Methods

Longitudinally ascertained cytology categories were adjusted for misclassification using estimates of cytology accuracy derived from the study cohort. Time-varying covariate effects were estimated as hazard ratios.

Results

(1) There was a moderate to high probability of regression of the high grade squamous intraepithelial lesion (HSIL) state (27-62%) at 2 years after initial cytology screening; (2) the probability of developing invasive anal cancer (IAC) during the first 2 years after a baseline HSIL cytology is low (1.9-2.8%); (3) infrared coagulation (IRC) ablation of HSIL lesions is associated with a 2.2-4.2 fold increased probability of regression to ConclusionsThe finding of moderate to high rates of regression of the HSIL state accompanied by low rates of progression to IAC should inform both screening and precursor treatment guideline development. There appears to be a consistent and robust beneficial effect of antiretroviral therapy, suppressed viral load, and higher CD4 on the transition from the

SUBMITTER: Mathews WC 

PROVIDER: S-EPMC4125167 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Publications

Natural history of anal dysplasia in an HIV-infected clinical care cohort: estimates using multi-state Markov modeling.

Mathews William C WC   Agmas Wollelaw W   Cachay Edward R ER   Cosman Bard C BC   Jackson Christopher C  

PloS one 20140807 8


<h4>Objectives</h4>(1) To model the natural history of anal neoplasia in HIV-infected patients using a 3-state Markov model of anal cancer pathogenesis, adjusting for cytology misclassification; and (2) to estimate the effects of selected time-varying covariates on transition probabilities.<h4>Design</h4>A retrospective cytology-based inception screening cohort of HIV-infected adults was analyzed using a 3-state Markov model of clinical pathogenesis of anal neoplasia.<h4>Methods</h4>Longitudinal  ...[more]

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