Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Kanzasitijas kardiomiopātijas anketu (KCCQ)× | Ņujorkas Sirds asociācijas (NYHA) funkcionālā klasifikācija× | |
|---|---|---|
| Nozare | Kardioloģija | Kardioloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2000 | 1994 |
| Autors≠ | John A. Spertus | New York Heart Association |
| Tips≠ | Self-report questionnaire | Ordinal clinician-assessment classification system |
| Pirmavots≠ | Green, C. P., Porter, C. B., Bresnahan, D. R., & Spertus, J. A. (2000). Development and evaluation of the Kansas City Cardiomyopathy Questionnaire: a new health-related quality of life measure for heart failure. Journal of the American College of Cardiology, 35(5), 1245–1253. 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 ↗ |
| Citi nosaukumi≠ | KCCQ | NYHA, NYHA Class, Functional Classification |
| Saistītās | 4 | 4 |
| Kopsavilkums≠ | The Kansas City Cardiomyopathy Questionnaire (KCCQ) is a 23-item, multidimensional self-report measure that evaluates heart failure-related symptoms, functional limitations, and quality of life in patients with cardiomyopathy and heart failure of all severities. Developed by Spertus and colleagues in 2000, the KCCQ provides six disease-specific domains and a clinically summary score, making it ideal for comprehensive, domain-focused assessment in both clinical practice and research. | 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. |
| ScholarGateDatu kopa ↗ |
|
|