השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| מדד מצב הפעילות של דיוק (DASI)× | סיווג תפקודי של איגוד הלב של ניו יורק (NYHA)× | |
|---|---|---|
| תחום | קרדיולוגיה | קרדיולוגיה |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 1989 | 1994 |
| הוגה השיטה≠ | Mark A. Hlatky | New York Heart Association |
| סוג≠ | Self-report questionnaire | Ordinal clinician-assessment classification system |
| מקור מכונן≠ | Hlatky, M. A., Boineau, R. E., Higginbotham, M. B., Lee, K. L., Mark, D. B., Califf, R. M., Cobb, F. R., & Pryor, D. B. (1989). A brief self-administered questionnaire to determine functional capacity (The Duke Activity Status Index). American Journal of Cardiology, 64(10), 651–654. 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 ↗ |
| כינויים≠ | DASI | NYHA, NYHA Class, Functional Classification |
| קשורות | 4 | 4 |
| תקציר≠ | The Duke Activity Status Index (DASI) is a 12-item self-report questionnaire that estimates functional capacity—the maximum oxygen consumption (VO2 max) a patient can achieve—based on their ability to perform common daily activities. Developed by Hlatky and colleagues in 1989, the DASI provides a non-invasive assessment of exercise tolerance and cardiovascular fitness equivalent to formal exercise stress testing, making it invaluable for risk stratification, treatment planning, and prognosis in cardiac and pulmonary populations. | 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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