PMID- 35045119 OWN - NLM STAT- MEDLINE DCOM- 20220221 LR - 20230725 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 17 IP - 1 DP - 2022 TI - Effect of adverse events on non-adherence and study non-completion in malaria chemoprevention during pregnancy trial: A nested case control study. PG - e0262797 LID - 10.1371/journal.pone.0262797 [doi] LID - e0262797 AB - BACKGROUND: In drug trials, adverse events (AEs) burden can induce treatment non-adherence or discontinuation. The non-adherence and discontinuation induce selection bias, affecting drug safety interpretation. Nested case-control (NCC) study can efficiently quantify the impact of the AEs, although choice of sampling approach is challenging. We investigated whether NCC study with incidence density sampling is more efficient than NCC with path sampling under conditional logistic or weighted Cox models in assessing the effect of AEs on treatment non-adherence and participation in preventive antimalarial drug during pregnancy trial. METHODS: Using data from a trial of medication to prevent malaria in pregnancy that randomized 600 women to receive chloroquine or sulfadoxine-pyrimethamine during pregnancy, we conducted a NCC study assessing the role of prospectively collected AEs, as exposure of interest, on treatment non-adherence and study non-completion. We compared estimates from NCC study with incidence density against those from NCC with path sampling under conditional logistic and weighted Cox models. RESULTS: Out of 599 women with the outcomes of interest, 474 (79%) experienced at least one AE before delivery. For conditional logistic model, the hazard ratio for the effect of AE occurrence on treatment non-adherence was 0.70 (95% CI: 0.42, 1.17; p = 0.175) under incidence density sampling and 0.68 (95% CI: 0.41, 1.13; p = 0.137) for path sampling. For study non-completion, the hazard ratio was 1.02 (95% CI: 0.56, 1.83; p = 0.955) under incidence density sampling and 0.85 (95% CI: 0.45, 1.60; p = 0.619) under path sampling. We obtained similar hazard ratios and standard errors under incidence density sampling and path sampling whether weighted Cox or conditional logistic models were used. CONCLUSION: NCC with incidence density sampling and NCC with path sampling are practically similar in efficiency whether conditional logistic or weighted Cox analytical methods although path sampling uses more unique controls to achieve the similar estimates. TRIAL REGISTRATION: ClinicalTrials.gov: NCT01443130. FAU - Patson, Noel AU - Patson N AUID- ORCID: 0000-0002-3159-8207 AD - School of Public Health, University of the Witwatersrand, Johannesburg, South Africa. AD - School of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre, Malawi. FAU - Mukaka, Mavuto AU - Mukaka M AD - Mahidol Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand. AD - Centre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom. FAU - Peterson, Ingrid AU - Peterson I AD - Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, United States of America. FAU - Divala, Titus AU - Divala T AUID- ORCID: 0000-0003-3029-9579 AD - TB Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom. AD - Helse Nord Tuberculosis Initiative, College of Medicine, University of Malawi, Blantyre, Malawi. FAU - Kazembe, Lawrence AU - Kazembe L AD - Department of Biostatistics, University of Namibia, Windhoek, Namibia. FAU - Mathanga, Don AU - Mathanga D AD - School of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre, Malawi. FAU - Laufer, Miriam K AU - Laufer MK AD - Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, United States of America. FAU - Chirwa, Tobias AU - Chirwa T AD - School of Public Health, University of the Witwatersrand, Johannesburg, South Africa. LA - eng SI - ClinicalTrials.gov/NCT01443130 GR - D43 TW010075/TW/FIC NIH HHS/United States GR - K24 AI114996/AI/NIAID NIH HHS/United States GR - U01 AI087624/AI/NIAID NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural DEP - 20220119 PL - United States TA - PLoS One JT - PloS one JID - 101285081 RN - 0 (Antimalarials) RN - 0 (Drug Combinations) RN - 37338-39-9 (fanasil, pyrimethamine drug combination) RN - 88463U4SM5 (Sulfadoxine) RN - 886U3H6UFF (Chloroquine) RN - Z3614QOX8W (Pyrimethamine) SB - IM MH - Antimalarials/therapeutic use MH - Case-Control Studies MH - Chemoprevention/methods MH - Chloroquine/therapeutic use MH - Data Analysis MH - Drug Combinations MH - Female MH - Humans MH - Incidence MH - Malaria/*drug therapy/epidemiology MH - Medication Adherence/*psychology MH - Models, Theoretical MH - Pregnancy MH - Pregnancy Complications, Parasitic/epidemiology MH - Pyrimethamine/therapeutic use MH - Sulfadoxine/therapeutic use PMC - PMC8769307 COIS- The authors have declared that no competing interests exist. EDAT- 2022/01/20 06:00 MHDA- 2022/02/22 06:00 PMCR- 2022/01/19 CRDT- 2022/01/19 19:29 PHST- 2020/12/01 00:00 [received] PHST- 2021/10/18 00:00 [accepted] PHST- 2022/01/19 19:29 [entrez] PHST- 2022/01/20 06:00 [pubmed] PHST- 2022/02/22 06:00 [medline] PHST- 2022/01/19 00:00 [pmc-release] AID - PONE-D-20-37754 [pii] AID - 10.1371/journal.pone.0262797 [doi] PST - epublish SO - PLoS One. 2022 Jan 19;17(1):e0262797. doi: 10.1371/journal.pone.0262797. eCollection 2022.