Out of hospital cardiac arrest in women in Vojvodina: Epidemiological data analysis
Bibliographic record
Abstract
Objective: analysis of epidemiological data of out of hospital cardiac arrest (OHCA) in women of Vojvodina in comparison to up to date published studies. Methods: In our study we used data from the OHCA register from region of Vojvodina from 01. 10. 2014 to 01. 08. 2017. Data were derived from common database of Serbian Resuscitation Council collected by main researchers from 13 centers. Analysis was performed using statistical program SPSS. Results: In observed period in Vojvodina region, 1240 cases of OHCA were confirmed by Emergency Medical Service (EMS) teams. Cardiopulmonary resuscitation (CPR) was attempted in 706 patients, 237 (33.56%) of women. Average age of women was 68.2 years. Youngest patient had less than 1 year and eldest was 94 years old. Considering etiology, cardiovascular cause is most common, in197 (83%) cases, respiratory in 15 (6.4%) and other non-cardiological causes in 23 (9.8%) in women. Trauma as the cause of OHCA was not found in our analysis was not registered. Dominant location of OHCA in woman is at home, in 187 (88.6%) cases, followed by public spaces-street in 12 (5%), Nursing Homes in 7 (3%) and public institutions in 3 (1.2%). No cases of OHCA in women were registered on sports fields. Bystander CPR before EMS arrival was registered in 44 (18.6%) of OHCA in women. Shockable rhythm was registered in 61 women (25.7%). Return of spontaneous circulation (ROSC) was achieved in 74 (31.2%) while 12 (5%) patients were released from hospital alive and 30 days survival was registered in 11 (4.6%). Conclusion: According to epidemiological analysis of OHCA database in woman in region of Vojvodina, we can notice that it is less present than in man. Also, average age of woman with OHCA is grater. OHCA in woman happened less in presence of bystander. Bystander CPR attempt in woman is slightly higher than in man, but presence of shockable rhythm, as well as ROSC and survival to hospital discharge is less. Detailed analysis of bystanders who start CPR in women OHCA might indicate the reason of their rather willingness to perform it. Still it is not enough to increase survival.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".