Evidence map›Paper›PMID 37808032›Full record

ArticleJTCVS open2023

Predictors of outcomes in patients with obesity following mitral valve surgery.

Ahmed Alnajar, Kelley N Benck, Tawseef Dar, Sameer A Hirji, Walid Ibrahim, Brian Detweiler, Venkat Vuddanda, Raymond Balise, J Sunil Rao, Min Lu and 1 more

Open access · goldAbstract read
In one paragraph

Article in JTCVS open, 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
1.3field-weighted citation impact, top 18% 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, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

11 authors at 2 institutions in 1 country.

Ahmed AlnajarDivision of Cardiothoracic Surgery, DeWitt Daughtry Department of Surgery, University of Miami Miller School of Medicine, Miami, Fla.
Kelley N BenckDivision of Cardiothoracic Surgery, DeWitt Daughtry Department of Surgery, University of Miami Miller School of Medicine, Miami, Fla.
Tawseef DarDivision of Cardiothoracic Surgery, DeWitt Daughtry Department of Surgery, University of Miami Miller School of Medicine, Miami, Fla.
Sameer A HirjiDivision of Cardiothoracic Surgery, Brigham and Women's Hospital, Allston, Mass.
Walid IbrahimDivision of Cardiothoracic Surgery, DeWitt Daughtry Department of Surgery, University of Miami Miller School of Medicine, Miami, Fla.
Brian DetweilerDivision of Biostatistics, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Fla.
Venkat VuddandaDivision of Cardiothoracic Surgery, Brigham and Women's Hospital, Allston, Mass.
Raymond BaliseDivision of Biostatistics, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Fla.
J Sunil RaoDivision of Biostatistics, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Fla.
Min LuDivision of Biostatistics, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Fla.
Joseph LamelasDivision of Cardiothoracic Surgery, DeWitt Daughtry Department of Surgery, University of Miami Miller School of Medicine, Miami, Fla.
University of Miami · USBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Few studies have assessed the outcomes of mitral valve surgery in patients with obesity. We sought to study factors that determine the in-hospital outcomes of this population to help clinicians provide optimal care. Methods: A retrospective analysis of adult patients with obesity who underwent open mitral valve replacement or repair between January 1, 2012, and December 31, 2020, was conducted using the National Inpatient Sample. Weighted logistic regression and random forest analyses were performed to assess factors associated with mortality and the interaction of each variable. Results: Of the 48,775 patients with obesity, 34% had morbid obesity (body mass index ≥40), 55% were women, 66% underwent elective surgery, and 55% received isolated open mitral valve replacement or repair. In-hospital mortality was 5.0% (n = 2430). After adjusting for important covariates, a greater risk of mortality was associated with older patients (adjusted odds ratio [aOR], 1.24; 95% CI, 1.08-1.43), higher Elixhauser comorbidity score (aOR, 2.10; 95% CI, 1.87-2.36), prior valve surgery (aOR, 1.63; 95% CI, 1.01-2.63), and more than 2 concomitant procedures (aOR, 2.83; 95% CI, 2.07-3.85). Lower mortality was associated with elective admissions (aOR, 0.70; 95% CI, 0.56-0.87) and valve repair (aOR, 0.58; 95% CI, 0.46-0.73). Machine learning identified several interactions associated with early mortality, such as Elixhauser score, female sex, body mass index ≥40, and kidney failure. Conclusions: The complexity of presentation, comorbidities in older and female patients, and morbid obesity are independently associated with an increased risk of mortality in patients undergoing open mitral valve replacement or repair. Morbid obesity and sex disparity should be recognized in this population, and physicians should consider older patients and females with multiple comorbidities for earlier and more opportune treatment windows.

Indexed as

adult cardiacmachine learningmitral valvemortalityobesityrandom forest

Identifiers

PMID37808032
PMCPMC10556846
OpenAlexW4382372268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.