[A clinical analysis of 137 cases of influenza A(H1N1)].
Bibliographic record
Abstract
OBJECTIVE: To analyze the epidemiology and clinical characteristics of influenza A (H1N1). METHODS: A retrospective analysis was performed on the clinical data of 137 cases of influenza A (H1N1) admitted into our hospital during May to August 2009. RESULTS: In the early stage, most cases were imported from the US, Australia, Canada and the UK. While in the later stage, most of them were secondary. The patients were mainly children and youngsters. And the most common clinical manifestations were fever (n = 108), cough (n = 93) and sore throat (n = 67) while the most common signs congestive throat (n = 99) and swelling tonsil (n = 46). The average fever period was 3.3 ± 1.5 days. The clinical symptoms vanished in 4.4 ± 1.9 days. And the average length of stay was 5.5 ± 2.1 days. Laboratory tests: the count of leukocytes declined while that of lymphocytes increased in 39 cases (39.5%). The test of influenza A (H1N1) nucleic acid was positive. The chest radiograph showed intensive pulmonary markings or patchy pneumonia-like signs. TREATMENTS: the groups of patients using Chinese herbs, western medicine plus Chinese herbs, symptomatic relief and placebo showed no significant difference in fever period, recovery time and the negative-converting period of influenza A (H1N1) nucleic acid tests became negative. CONCLUSION: Influenza A (H1N1) may be recessive or dominant. Despite a strong infectivity, the clinical symptoms are mild and the clinical course is self-limited, similar to the seasonal influenza.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".