Evidence map›Paper›PMID 37188560›Full record

ArticleBritish journal of anaesthesia2023

Cardiometabolic disease and obesity patterns differentially predict acute kidney injury after total joint replacement: a retrospective analysis.

Aleda M Leis, Michael R Mathis, Sachin Kheterpal, Matthew Zawistowski, Bhramar Mukherjee, Nathan Pace, Vikas N O'Reilly-Shah, Jennifer A Smith, Carrie A Karvonen-Gutierrez

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in British journal of anaesthesia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

9 authors at 3 institutions in 1 country.

Aleda M LeisDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: aledat@umich.edu.
Michael R MathisDepartment of Anaesthesiology, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Sachin KheterpalDepartment of Anaesthesiology, University of Michigan, Ann Arbor, MI, USA.
Matthew ZawistowskiDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Bhramar MukherjeeDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Nathan PaceDepartment of Anaesthesiology, University of Utah, Salt Lake City, UT, USA.
Vikas N O'Reilly-ShahDepartment of Anaesthesiology & Pain Medicine, University of Washington, Seattle, WA, USA.
Jennifer A SmithDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Carrie A Karvonen-GutierrezDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
University of Michigan · USUniversity of Utah · USUniversity of Washington · US

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
CTSA K12 Program at the University of MichiganK12TR004374 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VICKI L ELLINGROD, Leah Elizabeth Robinson · 2023 to 2026
$6.5M
NCATS NIH HHS K12 TR004374NIA NIH HHS P30 AG024824NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is a frequent yet understudied postoperative total joint arthroplasty complication. This study aimed to describe cardiometabolic disease co-occurrence using latent class analysis, and associated postoperative AKI risk.

methodsThis retrospective analysis examined patients ≥18 years old undergoing primary total knee or hip arthroplasties within the US Multicenter Perioperative Outcomes Group of hospitals from 2008 to 2019. AKI was defined using modified Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Latent classes were constructed from eight cardiometabolic diseases including hypertension, diabetes, and coronary artery disease, excluding obesity. A mixed-effects logistic regression model was constructed for the outcome of any AKI and the exposure of interaction between latent class and obesity status adjusting for preoperative and intraoperative covariates.

resultsOf 81 639 cases, 4007 (4.9%) developed AKI. Patients with AKI were more commonly older and non-Hispanic Black, with more significant comorbidity. A latent class model selected three groups of cardiometabolic patterning, labelled 'hypertension only' (n=37 223), 'metabolic syndrome (MetS)' (n=36 503), and 'MetS+cardiovascular disease (CVD)' (n=7913). After adjustment, latent class/obesity interaction groups had differential risk of AKI compared with those in 'hypertension only'/non-obese. Those 'hypertension only'/obese had 1.7-fold increased odds of AKI (95% confidence interval [CI]: 1.5-2.0). Compared with 'hypertension only'/non-obese, those 'MetS+CVD'/obese had the highest odds of AKI (odds ratio 3.1, 95% CI: 2.6-3.7), whereas 'MetS+CVD'/non-obese had 2.2 times the odds of AKI (95% CI: 1.8-2.7; model area under the curve 0.76).

conclusionsThe risk of postoperative AKI varies widely between patients. The current study suggests that the co-occurrence of metabolic conditions (diabetes mellitus, hypertension), with or without obesity, is a more important risk factor for acute kidney injury than individual comorbid diseases.

Indexed as

Acute Kidney InjuryArthroplasty, ReplacementCardiovascular DiseasesHypertensionMetabolic SyndromeAdolescentHumansObesityPostoperative ComplicationsRetrospective StudiesRisk Factorsacute kidney injurycardiometabolic diseaselatent class analysisobesitytotal joint replacement

Identifiers

PMID37188560
PMCPMC10308436
OpenAlexW4376505765

What OpenQuestion holds

Textmetadata
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.