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Related Experiment Video

Updated: Nov 2, 2025

The Transition to an Anterior-Based Muscle Sparing Approach Improves Early Postoperative Function but is Associated with a Learning Curve
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Risk Factors for Readmissions After Total Joint Replacement: A Meta-Analysis.

Satish M Mahajan1, Amey S Mahajan2, Chantal Nguyen3

  • 1Veterans Affairs Palo Alto Health Care System, Palo Alto, California.

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|June 14, 2021
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Summary
This summary is machine-generated.

Discharge to a skilled nursing facility, low-volume hospital surgery, and patient obesity increase readmission risk after hip or knee replacement. Adhering to reporting standards is crucial for future predictive models.

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Area of Science:

  • Orthopedic Surgery
  • Health Services Research
  • Biostatistics

Background:

  • Readmission after total hip arthroplasty (THA) and total knee arthroplasty (TKA) poses a significant challenge in healthcare.
  • Predictive modeling is essential for identifying patients at high risk of readmission.
  • Synthesizing existing evidence on risk factors is crucial for improving patient outcomes.

Purpose of the Study:

  • To systematically review and meta-analyze predictive modeling studies on THA and TKA readmission risk.
  • To identify and quantify key risk factors associated with post-arthroplasty readmissions.
  • To evaluate the quality of existing predictive models and reporting standards.

Main Methods:

  • Systematic review and meta-analysis of published literature.
  • Qualitative review of 15 studies and quantitative meta-analysis of 17 studies.
  • Assessment of study quality using PRISMA and NOS criteria.

Main Results:

  • Key risk factors identified include age, length of stay, readmission reduction policy, peripheral nerve block use, and procedure type.
  • Significant predictors of readmission were discharge to a skilled nursing facility (61% higher risk), low/medium-volume hospital surgery (26% higher risk), and patient obesity (34% higher risk).
  • Study quality and reporting adherence to PRISMA and NOS standards were often suboptimal.

Conclusions:

  • Discharge destination, hospital procedure volume, and patient obesity are significant, modifiable risk factors for readmission after THA/TKA.
  • Clinical practice and future research should incorporate these identified risk factors into decision-making.
  • Future predictive modeling studies must prioritize adherence to gold-standard reporting and methodological criteria.