Prevalence and characteristics of family history of sudden unexplained death and predictors of negative attitude of family members toward medical autopsy and family screening in Saudi Arabia: A cross-sectional study
Bibliographic record
Abstract
INTRODUCTION: Little is known about sudden unexplained death (SUD) in Saudi Arabia. Moreover, family screening and medical autopsy are not routinely performed due to perceived religious and cultural resistance. However, this has never been systematically examined. We sought to describe the prevalence and characteristics of family history of SUD and the attitude of family members toward medical autopsy and family screening. METHODS: This was a cross-sectional study utilizing an online survey distributed though social media platforms from August 15 to September 15, 2021. Participants' characteristics, details about SUD cases, and the attitude toward medical autopsy and family screening were collected. Multivariable logistic regression was used to identify independent predictors of negative attitude toward medical autopsy. RESULTS: A total of 11374 were included in the final analysis after excluding children. The prevalence of FHx of at least one first degree relative (FDR) with SUD was found to be 9.4% [95% CI (8.9% - 10%)]. Among participants with any FHx of SUD, 1346/3489 (38.6%) had ≥ 2 family members affected. Only 183 participants with a FHx of SUD visited a physician for the purpose of family screening (183/3489, 5.3%). The total number of SUD cases reported was 5474. Of those, 22% were 35-year-old or younger. Only 22% of participants (2458/11374) had a negative attitude towards medical autopsy, and the most common reason was the perceived lack of benefit. Older age (> 35 years), family history of SUD, female gender, and lack of knowledge about the yield of medical autopsy were associated with negative attitude in the adjusted analysis. CONCLUSION: SUD occurred at young age and affected multiple family members in a significant proportion of families. Despite that, family screening was seldom performed. There is an urgent need to improve the care of SUD by incorporating medical autopsy and developing clinical pathways to screen family members.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".