Pacientes com infecção por vírus A (H1N1) admitidos em unidades de terapia intensiva do Estado do Paraná, Brasil
Bibliographic record
Abstract
OBJECTIVE: This study aimed to analyze outcome, clinical and epidemiological characteristics and severity factors in adult patients admitted with a diagnosis of infection by virus A (H1N1) to public and private intensive care units, in Paraná, Brazil. METHODS: Cohort study of medical charts of patients older than 12 years admitted to 11 intensive care units in 6 cities in the state of Parana, Brazil, during a period of 45 days, with diagnosis of swine influenza. The diagnosis of infection with A (H1N1) was made by real time polymerase chain reaction (RT-PCR) of nasopharyngeal secretion, or strong clinical suspicion when other causes had been ruled out (even with negative RT-PCR). Descriptive statistics were performed, analysis by the Chi square test was used to compare percentages and the Student's t test for continuous variables with univariate analysis, assuming a significance level of p <0.05. RESULTS: There were 63 adult patients admitted with a diagnosis of H1N1, 37 (58.7%) being RT-PCR positive. Most patients were young adults (65% under 40 years of age) with no gender predominance and high incidence of obesity (27.0% with Body Mass Index > 30). Mean of the Acute Physiologic Chronic Health Evaluation II (APACHE II) score was 15.0 + 8.1. Mortality in the intensive care unit was 39.7%. The main factors associated with mortality were: positive RT-PCR, low levels of initial PaO2/FiO2, high initial levels of urea and lactate dehydrogenase, required level of positive end expiratory pressure, need for the prone position and vasopressors. CONCLUSIONS: Adult patients with A (H1N1) virus infection admitted to intensive care units had a high risk of death, particularly due to respiratory impairment. Positive RT-PCR, urea and lactic dehydrogenase, low initial PaO2/FiO2 and high levels of PEEP were correlated with higher mortality.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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; both teacher heads agree on what is shown here.
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".