Evidence map›Paper›PMID 40033722›Full record

ArticleAsian spine journal2025

Predictors of hospitalization for longer than one day following elective single-level anterior cervical discectomy and fusion: a retrospective case-control database study.

Sam Han Jiang, James W Nie, Nauman Shaukat Chaudhry, Saavan Patel, Darius Ansari, Ashwin Ganesh, Jeffrey Z Nie, Jaimin Patel, Ankit Indravadan Mehta

Abstract read
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Article in Asian spine journal, 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Sam Han JiangDepartment of Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA.
James W NieDepartment of Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA.
Nauman Shaukat ChaudhryDepartment of Neurosurgery, University of South Florida, Lakeland, FL, USA.
Saavan PatelDepartment of Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA.
Darius AnsariDepartment of Neurological Surgery, University of Wisconsin, Madison, WI, USA.
Ashwin GaneshDepartment of Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA.
Jeffrey Z NieDepartment of Neurosurgery, Southern Illinois University, Springfield, IL, USA.
Jaimin PatelDepartment of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA.
Ankit Indravadan MehtaDepartment of Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designA retrospective case-control study. PURPOSE: To understand the risk factors for prolonged hospitalization following anterior cervical discectomy and fusion (ACDF) to reduce postoperative complications and better identify optimal candidates for elective ACDF. OVERVIEW OF LITERATURE: Despite the proven safety of ACDF, many patients may experience prolonged postoperative hospitalization.

methodsData were collected from the American College of Surgeons National Surgical Quality Improvement Program dataset spanning 2017-2019. The primary outcome of interest was the length of stay (LOS). The study population was divided into two cohorts: those with LOS ≤1 day and those with LOS >1 day. Univariate and multivariate analyses were performed to identify predictors of LOS >1 day. Propensity score matching and group comparisons were used to evaluate pre- and post-discharge complication rates between the cohorts.

resultsA total of 12,906 patients with ACDF were identified in the database and considered eligible for the study. Of these patients, 69.5% had LOS ≤1 day and 30.5% had LOS >1 day. Factors associated with LOS >1 day included age ≥65 years, female sex, non-White race, American Society of Anesthesiologists classification 3, dependent functional status, and operation length of 120-150 minutes and >150 minutes. Patients with LOS >1 day were more likely to undergo intraoperative or postoperative blood transfusions (0.1% vs. 0.7%, p<0.001), unplanned reoperations (0% vs. 1.7%, p<0.001), and develop pneumonia during hospitalization (0% vs. 0.7%, p<0.001). These patients were also more likely to be readmitted (2.7% vs. 4.3%, p<0.001).

conclusionsOlder patients, those with poorer functional status, and those who undergo longer operative times are more likely to experience prolonged postoperative hospitalization. These patients are also at increased risk of complications such as pneumonia, blood transfusions, reoperation, and readmission. Careful patient selection for ACDF is essential to reduce the risk of prolonged hospitalization and associated complications.

Indexed as

DiskectomyHealthcareLength of stayOutcome assessmentRisk factorsSpinal fusion

Identifiers

PMID40033722
PMCPMC12242265

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