A Study on Chronofatality Trends of COVID-19 Deaths at a Tertiary Care Hospital
Bibliographic record
Abstract
The aim of the study is to find out any association between time of death in coronavirus disease (COVID-19) patients and variables like age, sex, and existence of comorbidities including type II diabetes mellitus, hypertension, coronary artery disease, chronic kidney disease, etc. An attempt was also made to elucidate the reasons for relationship between time of death and other aforementioned variables. Mortality data of 1,553 COVID-19 cases from a tertiary care hospital between March 2020 to September 2021 were analyzed. Maximum deaths occurred between 18:01 hours to 06:00 hours of the 24-hour cycle. There is a significant statistical association between time of death and age, time of death and sex, time of death and having a comorbidity of diabetes mellitus in the study sample. The study confirms that the chronofatality of COVID-19 deaths has a nocturnal predilection. The circadian rhythms of glucocorticoids, respiratory physiology of sleep, and circadian hemodynamic variations may have a role in prognosis and fatality of COVID-19.
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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 | 0.002 |
| 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 | 0.000 |
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".