Acute myocardial infarction: incidence and outcomes in an intensive care unit
Bibliographic record
Abstract
Introduction Community-acquired pneumonia remains a common condition worldwide.It is associated with significant morbidity and mortality.The aim of this study was to evaluate conditions that could predict a poor outcome.Design Retrospective analyse of 69 patients admitted to the ICU from 1996 to 2003.Demographic data included age, sex and medical history.Etiologic agents, multiorgan dysfunction, nosocomial infections, SAPS II and PORT scores were recorded for each patient.For statistical analysis we used a t test, chi-square test and Mann-Whitney U test on SPSS ® .A value of P less than 0.05 was considered significant.Results Forty-seven patients were male and 22 patients were female.Mean age was 52 years.Sixty-seven percent had serious pre-morbid conditions including pulmonary disease (34.8%), cardiac problems (36.2%),diabetes (13%) and chronic liver disease (5.8%); 40.6% were smokers, drug abusers or alcohol dependents.Sixtyeight patients required invasive mechanical ventilation.The average length of ventilation was 13.5 days, median 8 days.The mean SAPS II score was 40.14 and the mean PORT score was 141.The mortality rate was 27.5% (SAPS II estimated mortality, 35%).Complications reported were ARDS (40.6%), septic shock (34.8%), acute renal failure (2.9%), cardiac arrest (8.7%) and nosocomial infeccions (46.4%).Mortality rates were higher for previous hepatic (75%) and metabolic (33%) diseases.We found a close association between crude mortality and SAPS II score (P = 0.003) and development of complications (P = 0.0028).Respiratory dysfunction (P = 0.006) and septic shock (P = 0.022) were most significantly related to mortality.No significant differences were founded regarding age, comorbidities, PORT score, etiologic agents, nosocomial infections and length of invasive mechanical ventilation.Conclusions Previous hepatic chronic disease was strictly related to higher mortality as well as isolation of MRSA.ARDS and septic shock predicted a poor outcome.SAPS II score was the best severity indicator of mortality.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".