Elicit: Predicting Day-Case Arthroplasty Outcomes

Predicting Day-Case Arthroplasty Outcomes

Which patient factors best predict success/failure of day-case arthroplasty?

Increased age, female sex (OR 1.63-4.22), high ASA classification, and multiple comorbidities (OR up to 3.9) are the primary predictors of day-case arthroplasty failure.

Abstract

Day‐case arthroplasty outcomes are influenced by clear patient factors. Studies report that increased age—which in over 20 analyses shows odds ratios from 1.01 to 4.16—and female sex—with odds ratios from 1.63 to 4.22 in more than 15 investigations—predict lower same‐day discharge success. A higher body mass index (supported in 10+ studies) and non‐white race (noted in 5+ studies) similarly relate to reduced success. In addition, clinical indicators such as an ASA classification of III or IV and a comorbidity burden of three or more conditions consistently predict failure, with odds ratios up to 3.9 and highly significant p‐values. Other conditions, including hypertension, diabetes, cardiovascular disease, and chronic obstructive pulmonary disease, are also cited as contributing to poor day‐case outcomes. Although a couple of studies flag younger age (<40) as a potential risk factor, this finding remains inconsistent.

Methods

We analyzed 40 sources from an initial pool of 500, using 8 screening criteria. Each paper was reviewed for 6 key aspects that mattered most to the research question.

Paper search

Using your research question “Which patient factors best predict success/failure of day-case arthroplasty?”, we searched across over 126 million academic papers from the Semantic Scholar corpus. We retrieved the 500 papers most relevant to the query.

Screening

We screened in sources based on their abstracts that met the following criteria:

We considered all screening questions together and made a holistic judgment about whether to screen in each paper.

Data extraction

We asked a large language model to extract specific data columns.

Results

Characteristics of Included Studies

Study Study Design Sample Size Setting Type Primary Outcome Definition Full text retrieved
Velichala et al., 2024 Retrospective 31,347 No mention found 30-day readmission after outpatient Total Knee Arthroplasty (TKA) No
Murrell et al., 2023 Retrospective, single-center 606 Single-center 24-hour discharge after elective hip/knee arthroplasty Yes
Keulen et al., 2020 Retrospective 525 No mention found Same-day discharge after outpatient hip/knee arthroplasty No
Foley et al., 2023 Retrospective analysis of prospectively collected data, single-center 466 Single-center Failure to achieve planned same-day discharge after Total Joint Arthroplasty (TJA) No
Danielsen et al., 2024 Prospective, multicentre cohort 6,142 Multicenter Day-case success after Total Hip Arthroplasty (THA), TKA, mUKA Yes
Gong et al., 2023 Retrospective, single-center 753 Single-center Reasons/risk factors for failed same-day discharge after TKA/THA No
Kort et al., 2017 Review 14 studies N/A Patient selection criteria for outpatient joint arthroplasty No
Jaibaji et al., 2020 Systematic review 6,519 N/A Complication/reoperation rates after outpatient arthroplasty No

Success Rates and Risk Patterns

Overall Success Rates

Study Same-Day Discharge Success Rate Notes
Velichala et al., 2024 98.14% (1.86% readmission) Outpatient Total Knee Arthroplasty
Murrell et al., 2023 7.4% (<24h discharge) Elective hip/knee arthroplasty
Keulen et al., 2020 79% Outpatient hip/knee arthroplasty
Foley et al., 2023 99.7% (Ambulatory Surgery Center), 66.7% (hospital) Total Joint Arthroplasty

Common Failure Patterns

Study Most Common Reasons for Failure Frequency/Proportion
Danielsen et al., 2024 Mobilization issues, prolonged spinal anesthesia, postoperative nausea and vomiting (PONV) 9–14% by reason
Gong et al., 2023 Failure to clear Physical Therapy, hypotension, urinary retention 33%, 20.5%, 16.9%

Risk Stratification Models

Study Model/Tool Predictive Value Notes
Meneghini et al., 2017 Outpatient Arthroplasty Risk Assessment (OARA) score OR 2.0–2.7 for early discharge More predictive than ASA/Charlson Comorbidity Index
Wei et al., 2021 Artificial Neural Network (ANN) model AUC 0.801 Total Knee Arthroplasty

References

  1. James Murrell et al., 2023. Identifying Preoperative Predictors for 24-Hour Discharge After Elective Hip and Knee Arthroplasties.
  2. M. Keulen et al., 2020. Predictors of (Un)successful Same-Day Discharge in Selected Patients Following Outpatient Hip and Knee Arthroplasty.
  3. David P Foley et al., 2023. Predictors of Failure to Achieve Planned Same-Day Discharge after Primary Total Joint Arthroplasty: a Multivariable Analysis of Perioperative Risk Factors.
  4. A. Sher et al., 2017. Predictors of Same-Day Discharge in Primary Total Joint Arthroplasty Patients and Risk Factors for Post-Discharge Complications.
  5. Oddrún Danielsen et al., 2024. Day-case success or why still in hospital after total hip, total knee, and medial unicompartmental knee arthroplasties?