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Using a patient-centred composite endpoint in a secondary analysis of the Control of Hypertension in Pregnancy Study (CHIPS) Trial
BACKGROUND: Clinical trials commonly use multiple endpoints to measure the impact of an intervention. While this improves the comprehensiveness of outcomes, it can make trial results difficult to interpret. We examined the impact of integrating patient weights into a composite endpoint on the interp...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906819/ https://www.ncbi.nlm.nih.gov/pubmed/36750953 http://dx.doi.org/10.1186/s13063-023-07118-1 |
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author | Metcalfe, Rebecca K. Harrison, Mark Singer, Joel Lewisch, Mary Lee, Terry von Dadelszen, Peter Magee, Laura A. Bansback, Nick |
author_facet | Metcalfe, Rebecca K. Harrison, Mark Singer, Joel Lewisch, Mary Lee, Terry von Dadelszen, Peter Magee, Laura A. Bansback, Nick |
author_sort | Metcalfe, Rebecca K. |
collection | PubMed |
description | BACKGROUND: Clinical trials commonly use multiple endpoints to measure the impact of an intervention. While this improves the comprehensiveness of outcomes, it can make trial results difficult to interpret. We examined the impact of integrating patient weights into a composite endpoint on the interpretation of Control of Hypertension in Pregnancy Study (CHIPS) Trial results. METHODS: Outcome weights were extracted from a previous patient preferences study in pregnancy hypertension (N = 183 women) which identified (i) seven outcomes most important to women (taking medication, severe hypertension, pre-eclampsia, blood transfusion, Caesarean, delivery < 34 weeks, and baby born smaller-than-expected) and (ii) three preference subgroups: (1) ‘equal prioritizers’, 62%; (2) ‘early delivery avoiders’, 23%; and (3) ‘medication minimizers’, 14%. Outcome weights from the preference subgroups were integrated with CHIPS data for the seven outcomes identified in the preference study. A weighted composite score was derived for each participant by multiplying the preference weight for each outcome by the binary outcome if it occurred. Analyses considered equal weights and those from the preference subgroups. The mean composite scores were compared between trial arms (t-tests). RESULTS: Composite scores were similar between trial arms with the use of equal weights or those of subgroup (1) (95% confidence intervals [CIs]: − 0.03, 0.02; p > 0.50 for each). ‘Tight’ control was superior when using subgroup (2) weights (95% CIs: 0.002, 0.07; p = 0.03), and ‘less-tight’ control was superior when using subgroup (3) weights (95% CIs: − 0.11, − 0.04; p < 0.01). CONCLUSIONS: Evidence-based recommendations for ‘tight’ control are consistent with most women’s preferences, but for a sixth of women, ‘less-tight’ control is more preference consistent. Depending on patient preferences, a single trial may support different interventions. Future trials should specify component weights to improve interpretation. TRIAL REGISTRATION: ClinicalTrials.gov NCT01192412 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-023-07118-1. |
format | Online Article Text |
id | pubmed-9906819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99068192023-02-08 Using a patient-centred composite endpoint in a secondary analysis of the Control of Hypertension in Pregnancy Study (CHIPS) Trial Metcalfe, Rebecca K. Harrison, Mark Singer, Joel Lewisch, Mary Lee, Terry von Dadelszen, Peter Magee, Laura A. Bansback, Nick Trials Methodology BACKGROUND: Clinical trials commonly use multiple endpoints to measure the impact of an intervention. While this improves the comprehensiveness of outcomes, it can make trial results difficult to interpret. We examined the impact of integrating patient weights into a composite endpoint on the interpretation of Control of Hypertension in Pregnancy Study (CHIPS) Trial results. METHODS: Outcome weights were extracted from a previous patient preferences study in pregnancy hypertension (N = 183 women) which identified (i) seven outcomes most important to women (taking medication, severe hypertension, pre-eclampsia, blood transfusion, Caesarean, delivery < 34 weeks, and baby born smaller-than-expected) and (ii) three preference subgroups: (1) ‘equal prioritizers’, 62%; (2) ‘early delivery avoiders’, 23%; and (3) ‘medication minimizers’, 14%. Outcome weights from the preference subgroups were integrated with CHIPS data for the seven outcomes identified in the preference study. A weighted composite score was derived for each participant by multiplying the preference weight for each outcome by the binary outcome if it occurred. Analyses considered equal weights and those from the preference subgroups. The mean composite scores were compared between trial arms (t-tests). RESULTS: Composite scores were similar between trial arms with the use of equal weights or those of subgroup (1) (95% confidence intervals [CIs]: − 0.03, 0.02; p > 0.50 for each). ‘Tight’ control was superior when using subgroup (2) weights (95% CIs: 0.002, 0.07; p = 0.03), and ‘less-tight’ control was superior when using subgroup (3) weights (95% CIs: − 0.11, − 0.04; p < 0.01). CONCLUSIONS: Evidence-based recommendations for ‘tight’ control are consistent with most women’s preferences, but for a sixth of women, ‘less-tight’ control is more preference consistent. Depending on patient preferences, a single trial may support different interventions. Future trials should specify component weights to improve interpretation. TRIAL REGISTRATION: ClinicalTrials.gov NCT01192412 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-023-07118-1. BioMed Central 2023-02-07 /pmc/articles/PMC9906819/ /pubmed/36750953 http://dx.doi.org/10.1186/s13063-023-07118-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Metcalfe, Rebecca K. Harrison, Mark Singer, Joel Lewisch, Mary Lee, Terry von Dadelszen, Peter Magee, Laura A. Bansback, Nick Using a patient-centred composite endpoint in a secondary analysis of the Control of Hypertension in Pregnancy Study (CHIPS) Trial |
title | Using a patient-centred composite endpoint in a secondary analysis of the Control of Hypertension in Pregnancy Study (CHIPS) Trial |
title_full | Using a patient-centred composite endpoint in a secondary analysis of the Control of Hypertension in Pregnancy Study (CHIPS) Trial |
title_fullStr | Using a patient-centred composite endpoint in a secondary analysis of the Control of Hypertension in Pregnancy Study (CHIPS) Trial |
title_full_unstemmed | Using a patient-centred composite endpoint in a secondary analysis of the Control of Hypertension in Pregnancy Study (CHIPS) Trial |
title_short | Using a patient-centred composite endpoint in a secondary analysis of the Control of Hypertension in Pregnancy Study (CHIPS) Trial |
title_sort | using a patient-centred composite endpoint in a secondary analysis of the control of hypertension in pregnancy study (chips) trial |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906819/ https://www.ncbi.nlm.nih.gov/pubmed/36750953 http://dx.doi.org/10.1186/s13063-023-07118-1 |
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