Evidence map›Paper›PMID 40955048›Full record

ArticlePharmacoepidemiology and drug safety2025

One-Year Risk of Bleeding in Patients on a Stable Warfarin Dose After Prosthetic Heart Valve Surgery.

Kyung Hyun Min, Woorim Kim, Jun Hyeob Kim, Jin Yeon Gil, Kyung Hee Choi, Ji Min Han, Kyung Eun Lee

Abstract read
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Article in Pharmacoepidemiology and drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kyung Hyun MinCollege of Pharmacy, Chungbuk National University, Cheongju-si, South Korea.
Woorim KimCollege of Pharmacy, Chungbuk National University, Cheongju-si, South Korea.
Jun Hyeob KimCollege of Pharmacy, Chungbuk National University, Cheongju-si, South Korea.
Jin Yeon GilCollege of Pharmacy, Chungbuk National University, Cheongju-si, South Korea.
Kyung Hee ChoiCollege of Pharmacy, Gachon University, Seongnam-si, South Korea.
Ji Min HanCollege of Pharmacy, Chungbuk National University, Cheongju-si, South Korea.
Kyung Eun LeeCollege of Pharmacy, Chungbuk National University, Cheongju-si, South Korea.

Funding

National Research Foundation of Korea
6 · The paper itself

Abstract

purposeAnticoagulation therapy is required to prevent thromboembolic complications in patients with heart valve surgery (HVS). However, caution must be taken due to the risk of bleeding. This study aimed to identify bleeding risk factors in patients with stable warfarin therapy and develop a predictive tool for high-risk patients.

methodsThis study is a nested case-control design using the Korean National Health Insurance Service-National Sample Cohort Data. We identified patients who underwent HVS and were prescribed warfarin within 1 week after the procedure. Of these, patients with the last two identical warfarin prescriptions within 6 months before the bleeding events were defined as the case group, while patients with no bleeding events within 6 months after HVS and two consecutive identical warfarin prescriptions were defined as the control group. Three machine learning models-logistic regression, support vector machine, and random forest-were trained and scored by fivefold validation to validate our feature selection processes. We developed a risk scoring system using adjusted odds ratios from multivariate logistic regression.

resultsOf 1 137 861 subjects, 1093 patients were eligible for the study cohort; 173 and 298 were selected as the case and control groups, respectively. After a series of machine learning processes, eight features were identified as significant risk factors for bleeding events.

conclusionOur finding suggests that furosemide, spironolactone, lacrimal system disorders, ursodeoxycholic acid, captopril, chronic kidney disease, zolpidem, and valsartan are the most important features for predicting bleeding events in patients taking a stable warfarin dose after HVS.

Indexed as

AnticoagulantsHeart Valve ProsthesisHeart Valve Prosthesis ImplantationHemorrhageWarfarinAdultAgedCase-Control StudiesFemaleHumansMachine LearningMaleMiddle AgedRepublic of KoreaRisk FactorsThromboembolismAnticoagulantsWarfarinbleedingheart valve surgerymachine learningnationwide population‐based cohort studyrisk scorewarfarin

Identifiers

PMID40955048
PMCPMC12437997

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.