Evidence map›Paper›PMID 34181014›Full record

ArticleJAMA network open2021

Exploration of Overdose Risk Score and Postoperative Complications and Health Care Use After Total Knee Arthroplasty.

Ahmed K Emara, Daniel Santana, Daniel Grits, Alison K Klika, Viktor E Krebs, Robert M Molloy, Nicolas S Piuzzi

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. A call for better validation of opioid overdose risk algorithms.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ahmed K EmaraDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
Daniel SantanaDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
Daniel GritsDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
Alison K KlikaDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
Viktor E KrebsDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
Robert M MolloyDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
Nicolas S PiuzziDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The adverse outcomes after total knee arthroplasty (TKA) associated with preoperative prescription drug use (ie, use of narcotics, sedatives, and stimulants) have been established but are not well quantified. Objective: To test the association of preoperative overdose risk score (ORS) with postoperative health care use. Design, Setting, and Participants: This cohort study was conducted using data on a consecutive sample of individuals who underwent primary TKA from November 2018 through March 2020 at a tertiary care health system. Data were collected using the Orthopaedic Minimal Data Set Episode of Care, a validated data-collection system for all elective orthopedic surgical interventions taking place within the health care system. Outcomes were assessed at 90 days postoperatively. Individuals whose preoperative baseline characteristics or ORS were not provided or who declined to participate were excluded. Data were analyzed from September through October 2020. Exposure: Patient-specific preoperative ORS, as measured using NarxCare, associated with patterns of prescription drug use. Main Outcomes and Measures: Associations between patient-specific ORS categories and 90-day postoperative health care use (ie, prolonged hospital length of stay [LOS; ie, >2 days], nonhome discharge, all-cause 90-day readmission, emergency department [ED] visits, and reoperation) were evaluated. Outcomes were also compared between a group of individuals with ORS less than 300 vs those with ORS 300 or greater who were propensity score matched (4:1; caliper, 0.1) using demographic characteristics (ie, age, sex, race, body mass index, and smoking status) and baseline comorbidities. Results: Among 4326 individuals who underwent primary TKA, 2623 (60.63%) were women, 3602 individuals (83.26%) were White, the mean (SD) BMI was 32.8 (6.9), and the mean (SD) age was 66.6 (9.2) years; 90-day follow-up was available for the entire cohort. The predominant preoperative diagnosis was osteoarthritis, occurring among 4170 individuals (96.4%). For individuals with an ORS of 300 to 399, there were significantly higher odds of a prolonged LOS (odds ratio [OR], 2.03; 95% CI, 1.46-2.82; P < .001), nonhome discharge (OR, 2.01; 95% CI, 1.37-2.94; P < .001), all-cause 90-day readmission (OR, 1.56; 95% CI, 1.01-2.42; P < .001), and ED visits (OR, 1.62; 95% CI, 1.11-2.38; P = .01) compared with individuals who were prescription drug naive (ie, ORS = 0). Individuals in the highest ORS category (ie, ORS ≥ 500) had the highest ORs for prolonged LOS (OR, 3.71; 95% CI, 2.00-6.87; P < .001), nonhome discharge (OR, 4.09; 95% CI, 2.02-8.29; P < .001), 90-day readmission (OR, 4.41; 95% CI, 2.23-8.71; P < .001), and 90-day reoperation (OR, 6.09; 95% CI, 1.44-25.80; P = .01). Propensity score matching confirmed the association between an ORS of 300 or greater and the incidence of prolonged LOS (244 individuals [11.6%] vs 130 individuals [23.0%]; P < .001), nonhome discharge (176 individuals [8.4%] vs 93 individuals [16.4%]; P < .001), all-cause 90-day readmission (119 individuals [5.7%] vs 65 individuals [11.5%]; P < .001), and all-cause ED visits (198 individuals [9.4%] vs 76 individuals [13.4%]; P = .006). Conclusions and Relevance: This study found that higher ORS was associated with increased health care use after primary TKA. These findings suggest that an ORS of 300 or greater could be used to designate increased risk and guide the preoperative surgeon-patient discussion to modify prescription drug use patterns.

Indexed as

Risk FactorsAgedArthroplasty, Replacement, KneeBody Mass IndexCohort StudiesDrug OverdoseFemaleHumansLogistic ModelsMaleMiddle AgedOdds RatioPostoperative ComplicationsPropensity Score

Identifiers

PMID34181014
PMCPMC8239962

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.