Yildiz Abdurrahim, Mustafaoglu Rustem, Bardak Ayse Nur
Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Sakarya University of Applied Sciences, 54400 Sakarya, Türkiye.
Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Istanbul University-Cerrahpaşa, 34500 Istanbul, Türkiye.
Medicina (Kaunas). 2025 Mar 19;61(3):540. doi: 10.3390/medicina61030540.
: The purpose of the study was to evaluate the relationship between different dyspnoea scales and clinical and physical parameters of stroke patients and to identify the most appropriate scale for stroke patients. This study, designed as a retrospective analysis, involved 203 patients diagnosed with stroke. Dyspnoea intensity was evaluated using four different scales: Oxygen Cost Diagram (OCD), Basic Dyspnoea Index (BDI), Modified Medical Research Council (mMRC), and Visual Analogue Scale (VAS). Respiratory muscle strength (maximal inspiratory pressure (MIP) and quality of life (Stroke Impact Scale 3.0 (SIS)) were also assessed. The regression model explained only 20.2% of the variance in SIS total scores (R = 0.202), indicating that key predictors might be missing. Additionally, dyspnoea scales showed statistically significant but modest correlations with SIS total scores (r = 0.248-0.397), suggesting limited clinical significance. There was a statistically significant relationship between age and dyspnoea scales, except for OCD (r = -0.153, = 0.056). A statistically significant relationship was found between the MIP and OCD scales (r = 0.290, < 0.001) and BDI scale (r = 0.195, = 0.014). However, only the BDI showed a statistically significant relationship with the other three dyspnoea scales in stroke patients. The OCD and BDI can evaluate dyspnoea ratings during day-to-day activities; therefore, these scales were significantly correlated with inspiratory muscle strength in stroke patients. Our findings suggest that while BDI and OCD are valuable tools for dyspnoea assessment in stroke patients, the overall predictive power of dyspnoea scales for quality of life is limited. Future studies should consider additional variables, such as comorbidities and rehabilitation intensity, to improve predictive accuracy and clinical relevance.
本研究的目的是评估不同呼吸困难量表与中风患者临床及身体参数之间的关系,并确定最适合中风患者的量表。本研究设计为回顾性分析,纳入了203例被诊断为中风的患者。使用四种不同的量表评估呼吸困难强度:氧耗图(OCD)、基本呼吸困难指数(BDI)、改良医学研究委员会量表(mMRC)和视觉模拟量表(VAS)。还评估了呼吸肌力量(最大吸气压力(MIP))和生活质量(中风影响量表3.0(SIS))。回归模型仅解释了SIS总分中20.2%的方差(R = 0.202),表明可能缺少关键预测因素。此外,呼吸困难量表与SIS总分显示出具有统计学意义但适度的相关性(r = 0.248 - 0.397),提示临床意义有限。年龄与呼吸困难量表之间存在统计学意义的关系,但OCD除外(r = -0.153,P = 0.056)。在MIP与OCD量表(r = 0.290,P < 0.001)和BDI量表(r = 0.195,P = 0.014)之间发现了统计学意义的关系。然而,在中风患者中,只有BDI与其他三种呼吸困难量表显示出统计学意义的关系。OCD和BDI可以评估日常活动中的呼吸困难等级;因此,这些量表与中风患者的吸气肌力量显著相关。我们的研究结果表明,虽然BDI和OCD是评估中风患者呼吸困难的有价值工具,但呼吸困难量表对生活质量的总体预测能力有限。未来的研究应考虑其他变量,如合并症和康复强度,以提高预测准确性和临床相关性。