Obesity and Outcomes Following Cardiogenic Shock Requiring Acute Mechanical Circulatory Support
Bibliographic record
Abstract
Background: The association of obesity on outcomes in patients with cardiogenic shock requiring acute mechanical circulatory support has not been thoroughly investigated. Methods: We evaluated the National Readmission Database for adults with either acute myocardial infarction or heart failure complicated by cardiogenic shock requiring acute mechanical circulatory support between January 2016 and November 2017. Exposure was assessed using International Classification of Diseases , Tenth Revision codes for the degree of obesity with the reference being body mass index (BMI) of 20.0 to 29.9 group. Multiple logistic regression and Cox regression analysis were used to analyze in-hospital mortality and 30-day readmission, respectively. Results: The survey-weighted sample included a total of 35 555 hospitalizations with a mean age of 65.4±0.2 years and 29.8% females. Obesity was associated with higher in-hospital mortality (no obesity, 26.4% [BMI, 20.0–29.9] versus class I obesity, 25.0% [BMI, 30.0–34.9] versus class II obesity, 28.7% [BMI, 35.0–39.9] versus class III obesity, 34.9% [BMI, ≥40]; P <0.001). On stratified analysis, compared with a nonobese phenotype, younger adults (age <60) with class II and class III obesity (odds ratio, 1.9 [95% CI, 1.1–3.5], P =0.02; odds ratio, 2.1 [95% CI, 1.2–3.7], P =0.01) and older adults (age ≥60) with class III obesity (odds ratio, 1.7 [95% CI, 1.2–2.4], P =0.005) had higher mortality. There was no association between the degree of obesity and 30-day readmission. Conclusions: Among adults with acute myocardial infarction or acute heart failure resulting in cardiogenic shock requiring acute mechanical circulatory support, younger adults with class II and class III obesity and older patients with class III obesity have a higher risk of in-hospital mortality compared with nonobese patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".