Electrocardiographic Abnormalities in Patients With Acute Exacerbation of Chronic Obstructive Pulmonary Disease
Bibliographic record
Abstract
OBJECTIVE: The objective of this article was to determine the frequency of different electrocardiographic (ECG) abnormalities in patients with acute exacerbation of chronic obstructive pulmonary disease (COPD). DESIGN: This is a cross-sectional study. PLACE AND DURATION: The study was conducted at the medicine department at Civil Hospital Karachi, Pakistan, between November 2018 and May 2019. METHOD: Both female and male participants aged 18-60 years with acute exacerbation of COPD (as per the operational definition) for more than three days who did not receive any treatment for exacerbation were included in the study. Twelve-lead ECG was recorded (Schiller AG, Baar, Switzerland) for 10 minutes after the supine rest, with a 50 mm/s of paper speed, 10 mm/mV of gain, and filter default settings. RESULTS: In total, 140 participants (male: n = 124 [88.6%] and female: n = 16 [11.4%]) were included the research. The mean age of the participants was 40.43 ± 11.51 years. In terms of severity, 46 (32.95) patients presented with mild, 46 (32.9%) with moderate, and 48 (34.4%) with severe exacerbation. Moreover, 33 (23.65%) participants had ECG abnormalities, i.e., 13 (9.3%) patients presented with right atrial enlargement, and eight (5.7%) with right ventricular hypertrophy. Patients with a longer smoking duration (years) were likely to present with ECG abnormalities. CONCLUSION: Patients with COPD who had severe acute exacerbation and a long smoking duration have a high prevalence of ECG abnormalities. Hence, ECG may be a valuable tool for detecting ischemic abnormalities among patients with COPD, independent of previously known heart disease, in clinical settings.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".