MétaCan
Menu
Back to cohort
Record W4283581032 · doi:10.14740/jocmr4741

Association of Severe Obesity and Chronic Obstructive Pulmonary Disease With Pneumonia Following Non-Cardiac Surgery

2022· article· en· W4283581032 on OpenAlexaffvenue
Kwaku Owusu‐Bediako, Kayla E. Pfaff, Nguyen K. Tram, David L. Stahl, Joseph D. Tobias, Olubukola O. Nafiu, Christian Mpody

Bibliographic record

VenueJournal of Clinical Medicine Research · 2022
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsHeritage College
Fundersnot available
KeywordsMedicineCOPDPneumoniaBody mass indexObesityIntensive care unitInternal medicineRelative riskRetrospective cohort studyCardiac surgerySurgeryConfidence interval

Abstract

fetched live from OpenAlex

Background: Pneumonia is the third most common surgical complication after urinary tract infection and wound infections. In addition to increased mortality, patients who develop postoperative pneumonia have a higher risk of prolonged hospital stay, intensive care unit (ICU) admissions, and higher healthcare costs. Obesity and chronic obstructive pulmonary disease (COPD) are both independent risk factors for the development and severity of postoperative pneumonia, although the combined effect of these comorbidities is unknown. Therefore, we evaluated whether the combination of severe obesity and COPD is associated with an increased risk of postoperative pneumonia. Methods: ) and underwent general surgery, orthopedic surgery, neurosurgery, otolaryngology surgery, urology surgery, and vascular surgery in the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) participating hospitals from 2014 to 2018. We evaluated the combined effect of COPD and severe obesity on the risk for postoperative pneumonia, unplanned tracheal reintubation, and extended length of stay. Results: The co-occurrence of severe obesity and COPD appeared to have a protective effect on the risk of postoperative pneumonia. In the presence of COPD, patients with severe obesity were 14% less likely to develop pneumonia compared to their normal-weight counterparts (2.9% vs. 4.4%; adjusted relative risk (RR): 0.76; 95% confidence interval (CI): 0.60, 0.95). In addition, in the presence of COPD, severe obesity conferred a lower risk for requiring an extended length of stay (37.6% vs. 47.9%; adjusted RR: 0.83; 95% CI: 0.78, 0.89). Conclusions: Counterintuitively, the co-occurrence of severe obesity with COPD appeared to buffer the negative impact of COPD on postoperative pneumonia, unplanned tracheal reintubation, and prolonged hospital stay after noncardiac surgery. These findings are consistent with the obesity paradox and warrant further investigations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.420
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Clinical Medicine ResearchSame topicRespiratory Support and MechanismsFrench-language works237,207