Cardiac Manifestations in COVID‐19 Patients-Admitted in Tertiary Care Hospital of Peshawar
Bibliographic record
Abstract
Objectives: To find the frequency of CVS diseases in admitted COVID patients and its associations with outcomes. Methodology: A cross-sectional survey was conducted at tertiary care hospitals of Peshawar from April- June 2021. All patients admitted in COVID ward and COVID ICU, consenting to participate were included. Questionnaire along with patients ECG and Echo report, Canadian classification used for angina grading and NYHA classification to classify shortness of breath. Results: The mean age of the sample (n=75) was 60.44 years. Majority were 44(58.66%) males and from ward 82.66%. According to responses using Canadian classification for chest pain were 61 (81.36%) class 2 angina, IN NYHA classification majority (72%) of patients had class 2 SOB. About 14.6% of patients echo showed positive ECHO findings. The average stay of patients were 7.45+-1.3 days. About 22.6% of mortality was noted, majority of expiry were from COVID icu (52.9%) and 69.3% of patients were discharged. About 21.33% of COVID patients had cardiac manifestations, majority were males 87.5%. 43.75% of mortality was seen in patients developing cardiac manifestations. 75% of patients that developed cardiac manifestation had multiple comorbidities, AF was reported in patients age 70 and above. NSTEMI was reported in patients with multiple comorbidities. Most of the Cardiac patients 78.66% did not have cardiac manifestations, only 16.9% of mortality was seen in patients with no cardiac manifestations. Conclusion: Males are more prone to COVID and have more cardiac events. Age above 60 years develop more serious disease and adverse outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".