POST-COVID CARDIOVASCULAR MANIFESTATION AMONG THE PATIENTS ATTENDING TERTIARY CARE HOSPITAL IN CHHINDWARA: A QUALITATIVE STUDY
Bibliographic record
Abstract
Objectives: The objectives of the study were to assess the cardiovascular manifestations in hospitalized and non-hospitalized patients with COVID-19. Methods: All patients, attending to the dedicated post-COVID outpatient department of Medicine Department, Chhindwara Institute of Medical Sciences from April 2021 to March 2022, with a history of positive RTPCR for severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) at least 2 weeks before presentation, were included in the study. Questionnaire along with patients echocardiogram and echo report, Canadian classification used for angina grading and NYHA classification to classify shortness of breath. A total of 650 patients were assessed for demographics, pre-existing comorbidities, health status, date of symptoms onset, COVID-19 diagnosis, health-care utilization, and the presence of any cardiac or other symptoms at the time of the onset of symptoms (retrospectively) and at follow-up days after symptoms onset. Results: The mean age of the sample (n=650) was 50.34 years. Majority were 346 (53.23%) males. According to responses using Canadian classification for chest pain were 75 (12.5%) Class 2 angina, in NYHA classification, majority 480 (80%) of patients had Class 2 SOB. About 90 (15%) of patients echo showed positive echo findings. The average stay of patients was 7.58+–1.6 days. About 135 (22.5%) of post-COVID patients had cardiac manifestations, majority were male 118 (87.4%). One hundred and two (75.5%) of patients that developed cardiac manifestation had multiple comorbidities, AF (6%) was reported in patients age 62 years and above. NSTEMI was reported in patients with multiple comorbidities. Conclusion: As the SARS-CoV-2 pandemic progresses, the interactions between coexisting cardiovascular disease and acute cardiovascular manifestations have a major implication on the medical community’s understanding of this disease. This suggests the presence of a post-COVID-19 syndrome and highlights the unmet health-care needs in a subgroup of patients with mild or severe COVID-19.
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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 | 0.024 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.005 |
| 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".