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A real-world exploration into clinical outcomes of direct oral anticoagulant dosing regimens in morbidly obese patients using data-driven approaches

A real-world exploration into clinical outcomes of direct oral anticoagulant dosing regimens in morbidly obese patients using data-driven approaches
A real-world exploration into clinical outcomes of direct oral anticoagulant dosing regimens in morbidly obese patients using data-driven approaches

INTRODUCTION: The clinical outcomes of direct oral anticoagulant (DOAC) dosage regimens in morbid obesity are uncertain due to limited clinical evidence. This study seeks to bridge this evidence gap by identifying the factors associated with clinical outcomes following the dosing of DOACs in morbidly obese patients.

METHOD: A data-driven observational study was carried out using supervised machine learning (ML) models with a dataset extracted from electronic health records and preprocessed. Following 70%:30% partitioning of the overall dataset via stratified sampling, the selected ML classifiers (e.g., random forest, decision trees, bootstrap aggregation) were applied to the training dataset (70%). The outcomes of the models were evaluated against the test dataset (30%). Multivariate regression analysis explored the association between DOAC regimens and clinical outcomes.

RESULTS: A sample of 4,275 morbidly obese patients was extracted and analysed. The decision trees, random forest, and bootstrap aggregation classifiers achieved acceptable (excellent) values of precision, recall, and F1 scores in terms of their contribution to clinical outcomes. The length of stay, treatment days, and age were ranked highest for relevance to mortality and stroke. Among DOAC regimens, apixaban 2.5 mg twice daily ranked highest for its association with mortality, increasing the mortality risk by 43% (odds ratio [OR] 1.430, 95% confidence interval [CI] 1.181-1.732, p = 0.001). On the other hand, apixaban 5 mg twice daily reduced the odds of mortality by 25% (OR 0.751, 95% CI 0.632-0.905, p = 0.003) but increased the odds of stroke events. No clinically relevant non-major bleeding events occurred in this group.

CONCLUSION: Data-driven approaches can identify key factors associated with clinical outcomes following the dosing of DOACs in morbidly obese patients. This will help design further studies to explore well tolerated and effective DOAC doses for morbidly obese patients.

Administration, Oral, Anticoagulants/therapeutic use, Atrial Fibrillation/drug therapy, Hemorrhage/chemically induced, Humans, Obesity, Morbid/complications, Retrospective Studies, Stroke/drug therapy
1175-3277
287-299
Nwanosike, Ezekwesiri Michael
cfa7e99a-976a-43c3-8c46-00669d8e5da4
Sunter, Wendy
c667654f-5551-4aba-8d32-a24b96eebbe1
Ansari, Muhammad Ayub
7852fd5f-d9a8-4113-911a-533476958966
Merchant, Hamid A
16e7d300-a50c-480f-99f5-86e30e9274ec
Conway, Barbara
2c87aa00-8c01-480c-befb-6092900011c9
Hasan, Syed Shahzad
e402cff7-ef4d-431e-8b82-905d3c8cfb89
Nwanosike, Ezekwesiri Michael
cfa7e99a-976a-43c3-8c46-00669d8e5da4
Sunter, Wendy
c667654f-5551-4aba-8d32-a24b96eebbe1
Ansari, Muhammad Ayub
7852fd5f-d9a8-4113-911a-533476958966
Merchant, Hamid A
16e7d300-a50c-480f-99f5-86e30e9274ec
Conway, Barbara
2c87aa00-8c01-480c-befb-6092900011c9
Hasan, Syed Shahzad
e402cff7-ef4d-431e-8b82-905d3c8cfb89

Nwanosike, Ezekwesiri Michael, Sunter, Wendy, Ansari, Muhammad Ayub, Merchant, Hamid A, Conway, Barbara and Hasan, Syed Shahzad (2023) A real-world exploration into clinical outcomes of direct oral anticoagulant dosing regimens in morbidly obese patients using data-driven approaches. American Journal of Cardiovascular Drugs, 23 (3), 287-299. (doi:10.1007/s40256-023-00569-6).

Record type: Article

Abstract

INTRODUCTION: The clinical outcomes of direct oral anticoagulant (DOAC) dosage regimens in morbid obesity are uncertain due to limited clinical evidence. This study seeks to bridge this evidence gap by identifying the factors associated with clinical outcomes following the dosing of DOACs in morbidly obese patients.

METHOD: A data-driven observational study was carried out using supervised machine learning (ML) models with a dataset extracted from electronic health records and preprocessed. Following 70%:30% partitioning of the overall dataset via stratified sampling, the selected ML classifiers (e.g., random forest, decision trees, bootstrap aggregation) were applied to the training dataset (70%). The outcomes of the models were evaluated against the test dataset (30%). Multivariate regression analysis explored the association between DOAC regimens and clinical outcomes.

RESULTS: A sample of 4,275 morbidly obese patients was extracted and analysed. The decision trees, random forest, and bootstrap aggregation classifiers achieved acceptable (excellent) values of precision, recall, and F1 scores in terms of their contribution to clinical outcomes. The length of stay, treatment days, and age were ranked highest for relevance to mortality and stroke. Among DOAC regimens, apixaban 2.5 mg twice daily ranked highest for its association with mortality, increasing the mortality risk by 43% (odds ratio [OR] 1.430, 95% confidence interval [CI] 1.181-1.732, p = 0.001). On the other hand, apixaban 5 mg twice daily reduced the odds of mortality by 25% (OR 0.751, 95% CI 0.632-0.905, p = 0.003) but increased the odds of stroke events. No clinically relevant non-major bleeding events occurred in this group.

CONCLUSION: Data-driven approaches can identify key factors associated with clinical outcomes following the dosing of DOACs in morbidly obese patients. This will help design further studies to explore well tolerated and effective DOAC doses for morbidly obese patients.

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More information

Accepted/In Press date: 27 December 2022
e-pub ahead of print date: 6 March 2023
Published date: 1 May 2023
Additional Information: Publisher Copyright: © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Keywords: Administration, Oral, Anticoagulants/therapeutic use, Atrial Fibrillation/drug therapy, Hemorrhage/chemically induced, Humans, Obesity, Morbid/complications, Retrospective Studies, Stroke/drug therapy

Identifiers

Local EPrints ID: 485158
URI: http://eprints.soton.ac.uk/id/eprint/485158
ISSN: 1175-3277
PURE UUID: 19fbc771-2a51-405f-808f-63a0dcf15129
ORCID for Ezekwesiri Michael Nwanosike: ORCID iD orcid.org/0000-0003-1831-6591

Catalogue record

Date deposited: 30 Nov 2023 17:40
Last modified: 18 Mar 2024 04:17

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Contributors

Author: Ezekwesiri Michael Nwanosike ORCID iD
Author: Wendy Sunter
Author: Muhammad Ayub Ansari
Author: Hamid A Merchant
Author: Barbara Conway
Author: Syed Shahzad Hasan

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