Selection bias in multidrug-resistant tuberculosis cohort studies assessing sputum culture conversion

• Published in: PloS one Vol. 17; no. 11; p. e0276457
• Main Authors: Rodriguez, Carly A, Lodi, Sara, Horsburgh, C Robert, Bastard, Mathieu, Hewison, Cathy, Huerga, Helena, Khan, Munira, Khan, Palwasha Y, Khan, Uzma, Oyewusi, Lawrence, Padayachee, Shrivani, Mitnick, Carole D, Franke, Molly F
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 10.11.2022; Public Library of Science (PLoS)
• Subjects: Antitubercular Agents - therapeutic use; Bias; Biology and Life Sciences; Care and treatment; Cohort analysis; Cohort Studies; Conversion; Drug resistance in microorganisms; Humans; Infectious diseases; Medicine and Health Sciences; Multidrug resistance; Multidrug resistant organisms; Mycobacterium tuberculosis; Observational studies; Patient outcomes; Patients; Pretreatment; Research and Analysis Methods; Selection Bias; Sputum; Treatment Outcome; Tuberculosis; Tuberculosis, Multidrug-Resistant - diagnosis; Tuberculosis, Multidrug-Resistant - drug therapy; United States
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0276457

Conversion of sputum culture from positive to negative for M. tuberculosis is a key indicator of treatment response. An initial positive culture is a pre-requisite to observe conversion. Consequently, patients with a missing or negative initial culture are excluded from analyses of conversion outcomes. To identify the initial, or "baseline" culture, researchers must define a sample collection interval. An interval extending past treatment initiation can increase sample size but may introduce selection bias because patients without a positive pre-treatment culture must survive and remain in care to have a culture in the post-treatment interval. We used simulated data and data from the endTB observational cohort to investigate the potential for bias when extending baseline culture intervals past treatment initiation. We evaluated bias in the proportion with six-month conversion. In simulation studies, the potential for bias depended on the proportion of patients missing a pre-treatment culture, proportion with conversion, proportion culture positive at treatment initiation, and proportion of patients missing a pre-treatment culture who would have been observed to be culture positive, had they had a culture. In observational data, the maximum potential for bias when reporting the proportion with conversion reached five percentage points in some sites. Extending the allowable baseline interval past treatment initiation may introduce selection bias. If investigators choose to extend the baseline collection interval past treatment initiation, the proportion missing a pre-treatment culture and the number of deaths and losses to follow up during the post-treatment allowable interval should be clearly enumerated.