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| 尼姆根呼吸紊乱问卷× | 呼吸短促、咳嗽和咳痰量评分× | |
|---|---|---|
| 领域 | 呼吸病学 | 呼吸病学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1994 | 2007 |
| 提出者≠ | van Beveren and colleagues, Netherlands | Multiple international authors (cardiopulmonary collaboration) |
| 类型≠ | Self-report questionnaire | Self-report symptom scale |
| 开创性文献≠ | Van Beveren, T. L., Fülöp, M., van Beek, H. G., & Zijlstra, F. J. (1994). Hyperventilation and panic panic attacks in a group of asthma patients. Respiration, 61(5), 282-287. link ↗ | Rohrmann, S., Anker, S. D., Coats, A. J., Hildebrandt, P., & Köhler, F. (2007). Prognostic relevance of respiratory symptoms in patients with systolic left ventricular dysfunction. American Heart Journal, 153(1), 42-50. link ↗ |
| 别名≠ | Nijmegen, Nijmegen Questionnaire, DBQ | BCS, Breathlessness Cough Sputum |
| 相关 | 5 | 5 |
| 摘要≠ | The Nijmegen Questionnaire is a 16-item self-report instrument designed to identify dysfunctional breathing patterns, particularly hyperventilation syndrome, in patients presenting with respiratory or non-respiratory symptoms. Developed by van Beveren and colleagues in the Netherlands in 1994, it provides rapid assessment of symptoms attributable to chronic hyperventilation: dizziness, chest tightness, muscle tension, paresthesias, and anxiety. The Nijmegen Questionnaire is widely used in respiratory physiology clinics, pulmonary rehabilitation programs, and psychosomatic medicine to detect dysfunctional breathing phenotypes that may masquerade as asthma, anxiety disorders, or cardiopulmonary disease. | The BCS is a brief, symptom-focused assessment tool measuring the frequency and severity of three cardinal respiratory symptoms: breathlessness (dyspnea), cough, and sputum production. Developed in cardiopulmonary research as a pragmatic measure of disease burden in chronic heart failure and chronic obstructive pulmonary disease, the BCS provides rapid, patient-centered tracking of respiratory symptom trajectories. Unlike comprehensive quality-of-life questionnaires, the BCS concentrates solely on symptom phenotype, making it ideal for routine monitoring and longitudinal disease surveillance in busy clinical settings. |
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