ArticleFrontiers in cardiovascular medicine2026
Prediction of hypokalemia in patients with ST-segment elevation myocardial infarction: development and validation of a model with prehospital applicability.
Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Baseline Serum Potassium Within the Normal Range Is Independently Associated With One-Year Myocardial Strain Recovery in Patients With ST-Segment Elevation Myocardial Infarction Treated With Primary Percutaneous Coronary Intervention: A Cardiac Magnetic Resonance Study.Reviews in cardiovascular medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Hypokalemia is common in patients with ST-segment elevation myocardial infarction (STEMI) and significantly elevates the risk of life-threatening arrhythmias and mortality. Yet no validated prehospital prediction tool exists to identify this high-risk condition early. Objective: To develop and validate a prediction model for hypokalemia in STEMI patients using readily available clinical and electrocardiographic parameters that are fully accessible in prehospital settings, and to systematically evaluate its prehospital application potential. Methods: A retrospective observational study was conducted involving 320 STEMI patients admitted to the Second Affiliated Hospital of Soochow University between January 2023 and December 2024. Patients were categorized into hypokalemia ( Results: Five independent predictors were identified: symptom-to-door time (OR = 0.85, 95% CI: 0.78-0.94), syncope/coma (OR = 3.57, 95% CI: 1.12-11.37), atrial arrhythmia (OR = 4.18, 95% CI: 1.33-13.17), PR interval (OR = 1.01, 95% CI: 1.00-1.02), and U wave (OR = 5.20, 95% CI: 2.59-10.46). The prediction model demonstrated good discrimination with an AUC of 0.735 (95% CI: 0.680-0.791). Calibration curves and decision curve analysis confirmed satisfactory model performance and clinical usefulness. Conclusion: We developed and validated a practical nomogram for predicting hypokalemia risk in STEMI patients using five variables readily available in prehospital and emergency settings. This tool enables early risk stratification, facilitates targeted intervention in high-risk individuals, and guides early potassium supplementation. It may improve prehospital care and clinical outcomes in STEMI patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.