Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Κλίμακα Borg Βαθμού Αντιλαμβανόμενης Προσπάθειας (RPE)× | Λειτουργική Ταξινόμηση της New York Heart Association (NYHA)× | |
|---|---|---|
| Πεδίο | Καρδιολογία | Καρδιολογία |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1982 | 1994 |
| Δημιουργός≠ | Gunnar Borg | New York Heart Association |
| Τύπος≠ | Single-item numerical rating scale | Ordinal clinician-assessment classification system |
| Θεμελιώδης πηγή≠ | Borg, G. A. (1982). Psychophysical bases of perceived exertion. Medicine & Science in Sports & Exercise, 14(5), 377–381. DOI ↗ | The Criteria Committee of the New York Heart Association. (1994). Nomenclature and Criteria for Diagnosis of Diseases of the Heart and Great Vessels (9th ed.). Little, Brown and Company. link ↗ |
| Εναλλακτικές ονομασίες | Borg Scale, Borg RPE, Borg 0-10 | NYHA, NYHA Class, Functional Classification |
| Συναφείς | 4 | 4 |
| Σύνοψη≠ | The Borg Rating of Perceived Exertion (RPE) Scale is a simple 0–10 (or original 6–20) numerical rating scale that quantifies a patient's subjective perception of dyspnea or general effort during activity or exercise testing. Developed by Swedish psychophysicist Gunnar Borg in the 1970s–1980s, the Borg Scale is ubiquitous in cardiopulmonary medicine, rehabilitation, and exercise physiology for monitoring symptom severity, guiding exercise intensity, assessing treatment response, and ensuring patient safety during testing and rehabilitation. | The New York Heart Association (NYHA) Functional Classification is a four-category ordinal system for grading heart failure severity based on the level of physical activity that precipitates dyspnea or other HF symptoms. Established by the NYHA in 1928 and refined in 1994, the NYHA classification is the oldest and most widely used functional status metric in cardiology, providing a simple, clinically intuitive framework for describing HF symptom burden, guiding treatment intensity, and predicting prognosis. |
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