Evidence map›Paper›PMID 40091307›Full record

ArticleOrthopaedic surgery2025

Factors and Experiences Associated With Unscheduled Hospital Readmission After Lateral Lumbar Interbody Fusion: A Case-Controlled Study.

Wangmi Liu, Feng Zhang, Yiqing Tao, Hao Li, Qixin Chen, Fangcai Li

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Article in Orthopaedic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Wangmi LiuDepartment of Orthopedic Surgery, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Feng ZhangDepartment of Orthopedic Surgery, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Yiqing TaoDepartment of Orthopedic Surgery, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Hao LiDepartment of Orthopedic Surgery, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Qixin ChenDepartment of Orthopedic Surgery, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Fangcai LiDepartment of Orthopedic Surgery, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-1986-4445

Funding

National Key Research and Development Program of China 2022YFC2407202National Key Research and Development Program of China 2023YFC2507700
6 · The paper itself

Abstract

purposeUnderstanding the risk factors associated with unscheduled readmission following lateral lumbar interbody fusion (LLIF) is crucial for mitigating the occurrence of these costly events. This study aims to ascertain the incidence and factors of unscheduled hospital readmission subsequent to LLIF.

methodsA retrospective analysis was conducted on patients who underwent LLIF at our institution from March 2016 to February 2023. Instances of unscheduled hospital readmission after LLIF were meticulously recorded, including baseline demographics, characteristics of spine pathology, surgical interventions, duration between two hospitalizations, and hospitalization costs and duration. Reasons for readmission were categorized based on their etiology. A case-control methodology was employed to compare unscheduled hospital readmission patients against planned readmission patients due to staged surgery. Parametric data were analyzed with a two-tailed T-test, nonparametric data with the Wilcoxon rank-sum test, and categorical data with the χ

resultsA total of 1521 patients who received LLIF at our institution were included in the study. A total of 59 patients (3.88%) were unscheduled readmitted due to adjacent segment disease (ASD), cage subsidence, the original surgical segments remaining narrow, spondylodiscitis, and pain. 51 patients (3.35%) experienced reoperation, predominantly attributable to ASD. Compared to planned readmission patients, unscheduled readmission patients tended to be younger, had a lower likelihood of having scoliosis, and were more likely to have short-segment surgery and higher initial hospitalization costs. Among unscheduled readmission patients, patients receiving short-segment surgery, as well as those who paid less during the initial hospitalization, demonstrated a higher likelihood of a 90-day readmission rate.

conclusionOur findings indicated the heightened risks of unscheduled hospital readmission after LLIF. Taking targeted measures against these risk factors is expected to reduce the healthcare burden caused by unplanned readmissions in the future.

Indexed as

Lumbar VertebraePatient ReadmissionPostoperative ComplicationsSpinal FusionAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedReoperationRetrospective StudiesRisk Factorsadjacent segment diseaselateral lumbar interbody fusionreoperationrisk factorsunscheduled readmission

Identifiers

PMID40091307
PMCPMC12050185

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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.