Joanna M Roy, Shyam Majmundar, Shray Patel, Antony Fuleihan, Basel Musmar, Kareem El Naamani, Stavropoula I Tjoumakaris, M Reid Gooch, Robert H Rosenwasser, Pascal M Jabbour
{"title":"中风机械血栓切除术后住院时间延长:对 703 名患者的单中心分析。","authors":"Joanna M Roy, Shyam Majmundar, Shray Patel, Antony Fuleihan, Basel Musmar, Kareem El Naamani, Stavropoula I Tjoumakaris, M Reid Gooch, Robert H Rosenwasser, Pascal M Jabbour","doi":"10.1227/neu.0000000000003128","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objectives: </strong>Mechanical thrombectomy (MT) is crucial for improving functional outcomes for acute ischemic stroke. Length of stay (LOS) is a reimbursement metric implemented to incentivize value-based care. Our study aims to identify predictors of LOS in patients undergoing MT at a high-volume center in the United States.</p><p><strong>Methods: </strong>This was a retrospective study of patients who underwent MT at a single institution from 2017 to 2023. Patients who experienced mortality during their course of hospital stay were excluded from this study. Extended LOS (eLOS) was defined as the upper quartile (≥75th) of the median duration of hospital stay. Univariate and multivariate analyses were performed, with P values < .05 denoting statistical significance.</p><p><strong>Results: </strong>Seven hundred three patients met criteria for inclusion. The median age of the cohort was 72 years (IQR: 61-82), and 57.2% was female. The median LOS was 6, IQR: 4-10. A total of 28.9% of the cohort (n = 203) patients experienced eLOS. The multivariate regression model identified age (odds ratio [OR]: 0.98, 95% CI: 0.97-0.99), diabetes mellitus (OR: 1.68, 95% CI: 1.15-2.44), and hemorrhagic transformation of stroke (OR: 2.89, 95% CI: 0.39-0.90) as predictors of eLOS, whereas antiplatelet use before admission (OR: 0.55, 95% CI: 0.34-0.89) and higher baseline modified Rankin Scale before stroke were associated with lower odds (OR: 0.59 [0.39-0.90]; P < .05) of eLOS.</p><p><strong>Conclusion: </strong>By identifying predictors of eLOS, we provide a foundation for targeted interventions aimed at optimizing post-thrombectomy care pathways and improving patient outcomes. The implications of our study extend beyond clinical practice, offering insights into healthcare resource utilization, reimbursement strategies, and value-based care initiatives.</p>","PeriodicalId":19276,"journal":{"name":"Neurosurgery","volume":" ","pages":"585-592"},"PeriodicalIF":3.9000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extended Length of Stay After Mechanical Thrombectomy for Stroke: A Single-Center Analysis of 703 Patients.\",\"authors\":\"Joanna M Roy, Shyam Majmundar, Shray Patel, Antony Fuleihan, Basel Musmar, Kareem El Naamani, Stavropoula I Tjoumakaris, M Reid Gooch, Robert H Rosenwasser, Pascal M Jabbour\",\"doi\":\"10.1227/neu.0000000000003128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and objectives: </strong>Mechanical thrombectomy (MT) is crucial for improving functional outcomes for acute ischemic stroke. Length of stay (LOS) is a reimbursement metric implemented to incentivize value-based care. Our study aims to identify predictors of LOS in patients undergoing MT at a high-volume center in the United States.</p><p><strong>Methods: </strong>This was a retrospective study of patients who underwent MT at a single institution from 2017 to 2023. Patients who experienced mortality during their course of hospital stay were excluded from this study. Extended LOS (eLOS) was defined as the upper quartile (≥75th) of the median duration of hospital stay. Univariate and multivariate analyses were performed, with P values < .05 denoting statistical significance.</p><p><strong>Results: </strong>Seven hundred three patients met criteria for inclusion. The median age of the cohort was 72 years (IQR: 61-82), and 57.2% was female. The median LOS was 6, IQR: 4-10. A total of 28.9% of the cohort (n = 203) patients experienced eLOS. The multivariate regression model identified age (odds ratio [OR]: 0.98, 95% CI: 0.97-0.99), diabetes mellitus (OR: 1.68, 95% CI: 1.15-2.44), and hemorrhagic transformation of stroke (OR: 2.89, 95% CI: 0.39-0.90) as predictors of eLOS, whereas antiplatelet use before admission (OR: 0.55, 95% CI: 0.34-0.89) and higher baseline modified Rankin Scale before stroke were associated with lower odds (OR: 0.59 [0.39-0.90]; P < .05) of eLOS.</p><p><strong>Conclusion: </strong>By identifying predictors of eLOS, we provide a foundation for targeted interventions aimed at optimizing post-thrombectomy care pathways and improving patient outcomes. The implications of our study extend beyond clinical practice, offering insights into healthcare resource utilization, reimbursement strategies, and value-based care initiatives.</p>\",\"PeriodicalId\":19276,\"journal\":{\"name\":\"Neurosurgery\",\"volume\":\" \",\"pages\":\"585-592\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neurosurgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1227/neu.0000000000003128\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurosurgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1227/neu.0000000000003128","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Extended Length of Stay After Mechanical Thrombectomy for Stroke: A Single-Center Analysis of 703 Patients.
Background and objectives: Mechanical thrombectomy (MT) is crucial for improving functional outcomes for acute ischemic stroke. Length of stay (LOS) is a reimbursement metric implemented to incentivize value-based care. Our study aims to identify predictors of LOS in patients undergoing MT at a high-volume center in the United States.
Methods: This was a retrospective study of patients who underwent MT at a single institution from 2017 to 2023. Patients who experienced mortality during their course of hospital stay were excluded from this study. Extended LOS (eLOS) was defined as the upper quartile (≥75th) of the median duration of hospital stay. Univariate and multivariate analyses were performed, with P values < .05 denoting statistical significance.
Results: Seven hundred three patients met criteria for inclusion. The median age of the cohort was 72 years (IQR: 61-82), and 57.2% was female. The median LOS was 6, IQR: 4-10. A total of 28.9% of the cohort (n = 203) patients experienced eLOS. The multivariate regression model identified age (odds ratio [OR]: 0.98, 95% CI: 0.97-0.99), diabetes mellitus (OR: 1.68, 95% CI: 1.15-2.44), and hemorrhagic transformation of stroke (OR: 2.89, 95% CI: 0.39-0.90) as predictors of eLOS, whereas antiplatelet use before admission (OR: 0.55, 95% CI: 0.34-0.89) and higher baseline modified Rankin Scale before stroke were associated with lower odds (OR: 0.59 [0.39-0.90]; P < .05) of eLOS.
Conclusion: By identifying predictors of eLOS, we provide a foundation for targeted interventions aimed at optimizing post-thrombectomy care pathways and improving patient outcomes. The implications of our study extend beyond clinical practice, offering insights into healthcare resource utilization, reimbursement strategies, and value-based care initiatives.
期刊介绍:
Neurosurgery, the official journal of the Congress of Neurological Surgeons, publishes research on clinical and experimental neurosurgery covering the very latest developments in science, technology, and medicine. For professionals aware of the rapid pace of developments in the field, this journal is nothing short of indispensable as the most complete window on the contemporary field of neurosurgery.
Neurosurgery is the fastest-growing journal in the field, with a worldwide reputation for reliable coverage delivered with a fresh and dynamic outlook.