Ejection fraction and blood pressure variabilities in acute myocardial infarction patients and its relationship with serum electrolytes
Bibliographic record
Abstract
Background: In patients with acute myocardial infarction, age, BMI, blood pressure, and electrolytes all influence ejection fraction improvement following percutaneous coronary intervention (PCI) . Many studies have looked into the long-term consequences of these factors, but none have found evidence that they have an impact on PCI efficacy. Aim: To evaluate the effectiveness of percutaneous coronary intervention (PCI) and predict prognosis in AMI patients by measuring blood pressure and serum electrolytes. Methods: It is a study that will last for a lengthy period of time. Before and after angioplasty, the EF of 40 patients with acute myocardial infarction (AMI) was measured in this research. The data were analysed using the SPSS 23 statistical package. Results:The effects of age (P = 0.34) and BMI (P = 0.49) on EF improvement are not well understood. The difference between those with initial high blood pressure and those without (P = 0.12), although not significantly different. Although serum calcium levels (P = 0.74) were normal, elevated sodium and potassium levels (P = 0.05) were shown to be associated with lower EF improvement. The concentrations of sodium and potassium in the blood were found to have a P value of 0.07. Conclusion: After PCI, patients with AMI have a better prognosis if they are older and have a normal BMI; nonetheless, greater blood sodium and potassium levels have a worse prognosis. Key words: Acute Myocardial Infarction; Percutaneous Intervention; Ejection Fraction; Serum Electrolytes
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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 | 0.000 |
| 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".