Evidence map›Paper›PMID 34954019›Full record

ArticleThe Journal of arthroplasty2022

Do In-Hospital Rothman Index Scores Predict Postdischarge Adverse Events and Discharge Location After Total Knee Arthroplasty?

Andrew D Kleven, Austin H Middleton, Ziynet Nesibe Kesimoglu, Isaac C Slagel, Ashley E Creager, Ryan Hanson, Serdar Bozdag, Adam I Edelstein

Open access · greenAbstract read
In one paragraph

Article in The Journal of arthroplasty, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Andrew D KlevenDepartment of Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, WI.
Austin H MiddletonDepartment of Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, WI.
Ziynet Nesibe KesimogluDepartment of Computer Science and Engineering, University of North Texas, University of North Texas Discovery Park, Denton, TX.
Isaac C SlagelDepartment of Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, WI.
Ashley E CreagerDepartment of Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, WI.
Ryan HansonFroedtert Health, Milwaukee, WI.
Serdar BozdagDepartment of Computer Science and Engineering, University of North Texas, University of North Texas Discovery Park, Denton, TX.
Adam I EdelsteinDepartment of Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, WI.
Medical College of Wisconsin · USUniversity of North Texas · USFroedtert Hospital · US

Funding

RESEARCH TRAINING IN INFECTIOUS DISEASEST32AI007343 · NIAID · UNIVERSITY OF IOWA · PI STAPLETON, JACK T. · 1988 to 2024
$5.0M
lntegrating multi-omics datasets to infer phenotype-specific driver genes, regulatory interactions and drug responseR35GM133657 · NIGMS · UNIVERSITY OF NORTH TEXAS · PI Serdar Bozdag · 2019 to 2026
$3.1M
BLRD VA I01 BX000207NIAID NIH HHS T32 AI007343NIGMS NIH HHS R35 GM133657
6 · The paper itself

Abstract

backgroundThere have been efforts to reduce adverse events and unplanned readmissions after total joint arthroplasty. The Rothman Index (RI) is a real-time, composite measure of medical acuity for hospitalized patients. We aimed to examine the association among in-hospital RI scores and complications, readmissions, and discharge location after total knee arthroplasty (TKA). We hypothesized that RI scores could be used to predict the outcomes of interest.

methodsThis is a retrospective study of an institutional database of elective, primary TKA from July 2018 until December 2019. Complications and readmissions were defined per Centers for Medicare and Medicaid Services. Analysis included multivariate regression, computation of the area under the curve (AUC), and the Youden Index to set RI thresholds.

resultsThe study cohort's (n = 957) complications (2.4%), readmissions (3.6%), and nonhome discharge (13.7%) were reported. All RI metrics (minimum, maximum, last, mean, range, 25th%, and 75th%) were significantly associated with increased odds of readmission and home discharge (all P < .05). RI scores were not significantly associated with complications. The optimal RI thresholds for increased risk of readmission were last ≤ 71 (AUC = 0.65), mean ≤ 67 (AUC = 0.66), or maximum ≤ 80 (AUC = 0.63). The optimal RI thresholds for increased risk of home discharge were minimum ≥ 53 (AUC = 0.65), mean ≥ 69 (AUC = 0.65), or maximum ≥ 81 (AUC = 0.60).

conclusionRI values may be used to predict readmission or home discharge after TKA.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeAftercareAgedHospitalsHumansMedicarePatient DischargePatient ReadmissionPostoperative ComplicationsRetrospective StudiesRisk FactorsUnited Statesdischarge planningpostoperative outcomesreadmissionRothman Indextotal knee arthroplasty

Identifiers

PMID34954019
PMCPMC8934277
OpenAlexW4200523770

What OpenQuestion holds

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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.