Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Seattle Angina Questionnaire (SAQ)× | New York Heart Association (NYHA) Funksjonell Klassifisering× | |
|---|---|---|
| Fagfelt | Kardiologi | Kardiologi |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 1995 | 1994 |
| Opphavsperson≠ | John A. Spertus | New York Heart Association |
| Type≠ | Self-report questionnaire | Ordinal clinician-assessment classification system |
| Opprinnelig kilde≠ | Spertus, J. A., Winder, J. A., Dewhurst, T. A., Deyo, R. A., Prodzinski, J., McDonell, M., & Fihn, S. D. (1995). Development and evaluation of a health-related quality of life measure for men with erectile dysfunction. Journal of the American College of Cardiology, 25(2), 149–155. link ↗ | 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 ↗ |
| Alias≠ | SAQ | NYHA, NYHA Class, Functional Classification |
| Relaterte | 4 | 4 |
| Sammendrag≠ | The Seattle Angina Questionnaire (SAQ) is a 19-item self-report measure that evaluates the frequency and severity of angina symptoms, functional limitations, and disease-specific quality of life in patients with coronary artery disease. Developed by Spertus and colleagues in 1995, the SAQ has become the gold-standard symptom-specific QoL instrument in cardiology and is recommended by major guidelines for assessing angina burden and treatment response. | 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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