The influencing factors of surviving time of patients with non-ST elevation acute coronary syndromes in China
Bibliographic record
Abstract
Objective To identify the influencing factors of surviving time of patients with non-ST elevation acute coronary syndromes in China.Methods The data of patients with non-ST elevation acute coronary syndromes hospitalized in 38 hospitals in China, including clinical characteristics, therapeutic procedure, and major events at hospitalization and two years′ follow-up period, were collected and analyzed as part of an international multicentre registry——OASIS.No particular intervention was needed in patients′ therapy.The needed data were recorded by filling in the Case Report Forms offered by Canadian Cardiovascular Collaboration according to the protocol.Cox regression model was used to analyze the association with survival and multiple factors recorded.Results From April 1999 to December 2001, 2294 patients with non-ST elevation acute coronary syndromes were enrolled in 38 Chinese hospitals nationwide, two years′ follow-up had been finished among 2188 of which with a mean age of 62.8±8.3 and 62.3% being male.The clinical diagnosis at admission was unstable angina in 88.5% of the patients and was non Q-wave myocardial infarction in the remaining 11.5%.The number of death totaled up to 174 with a mortality of 7.6% by the end of the two years′ follow-up.The most common cause of death was severe arrhythmia or sudden death (92 cases, 52.9%).More than 70 factors had been analyzed by Cox regression model in order to determine which might influence survival.Risk factors that reduced lifetime were: frequencies of myocardial infarction during follow-up period, stroke during hospitalization, thrombolysis during hospitalization, frequencies of heart failure during follow-up period, heart failure during hospitalization, frequencies of stroke during follow-up period, history of myocardial infarction, times of hospitalization because of non-cardiovascular disease during follow-up period, history of diabetes mellitus, duration of the first hospitalization, and age by the first hospitalization.Protective factors that prolonged lifetime were the frequencies of using oral anticoagulant, anti-platelet medicine, nitrate, and lipid lowering agents during follow-up period.Conclusion The most common cause of death in patients with non-ST elevation acute coronary syndromes is severe arrhythmias or sudden death in China.Several factors influence the survival of patients.The effects of most factors in this study are similar to those founded by previous evidence based medical study.
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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 | 0.001 | 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) | 0.001 | 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".