Farhana T, Qayyum M A, Hossain M A, Hossain S S, Shamsuzzaman S, Hossain N, Rahman M M, Reshma S S, Khan A I, Bonny B P, Debnath D, Rahman M, Khan M A S
Dr Tazrin Farhana, Medical Officer, Department of Respiratory Medicine, National Institute of Disease of the Chest & Hospital (NIDCH), Dhaka, Bangladesh; E-mail:
Mymensingh Med J. 2025 Jul;34(3):887-896.
Chronic obstructive pulmonary disease (COPD) is primarily a lung disease, but its consequences also affect other vital organs. Forced expiratory volume in one second (FEV₁), a basic spirometry finding along with others (Predicted FEV₁% and FVC), is essential for COPD diagnosis and severity analysis. Renal functional evaluation is essential, in addition to other systemic evaluations. Its evaluation is important because drugs used for the treatment of COPD are mostly excreted through the kidneys, which may cause its impairment. The estimated GFR (eGFR) by the modification of the diet in renal disease (MDRD) study group equation can approximate the actual GFR. This study aimed to elicit the association between airflow limitation severity and eGFR in stable COPD patients. This cross-sectional observational study included 95 patients with stable COPD who presented at the NIDCH between June 2018 and June 2019. The mean spirometry indices were compared with the eGFR-based groups (eGFR ≥60 mL/min/1.73 m² and eGFR <60 mL/min/1.73 m²). Correlation test was done to elicit the association of FEV₁ with eGFR. In addition, the prediction capability of eGFR along with other clinically relevant effector variables for FEV₁ was analyzed. FEV₁ was strongly correlated with eGFR (r=0.754, p<0.001). Predicted FEV₁% and FVC had moderate correlations with eGFR (r=0.646, p<0.001 and r=0.691, p<0.001, respectively), whereas FEV₁/FVC had weak correlations with eGFR (r=0.440, p<0.001). eGFR showed good prediction capability (β=-0.176, p<0.001) among other clinically relevant effector variables (age, sex, smoking, exacerbation history, mMRC grade, CAT score and BMI). All spirometry indices (FEV₁, PFEV₁%, FVC and FEV₁/FVC) were correlated with eGFR. FEV₁ was strongly correlated (positively) with eGFR and showed linear relation. Furthermore, eGFR had a good predictive capability for FEV₁. FEV₁ in stable COPD patients can be used as a predictor of renal function (eGFR), enabling early detection of renal functional impairment. Based on this, further evaluation, preventive measures or modifications in treatment strategy could be adopted accordingly.
慢性阻塞性肺疾病(COPD)主要是一种肺部疾病,但其后果也会影响其他重要器官。一秒用力呼气容积(FEV₁)是一项基本的肺量计测量结果,与其他指标(预计FEV₁%和FVC)一起,对COPD的诊断和严重程度分析至关重要。除其他全身评估外,肾功能评估也必不可少。其评估很重要,因为用于治疗COPD的药物大多通过肾脏排泄,这可能导致肾功能损害。通过肾脏病饮食改良(MDRD)研究组方程估算的肾小球滤过率(eGFR)可以近似实际的肾小球滤过率。本研究旨在探讨稳定期COPD患者气流受限严重程度与eGFR之间的关联。这项横断面观察性研究纳入了2018年6月至2019年6月期间在国家传染病中心就诊的95例稳定期COPD患者。将平均肺量计指标与基于eGFR的分组(eGFR≥60 mL/min/1.73 m²和eGFR<60 mL/min/1.73 m²)进行比较。进行相关性检验以探讨FEV₁与eGFR的关联。此外,分析了eGFR以及其他临床相关效应变量对FEV₁的预测能力。FEV₁与eGFR呈强相关(r = 0.754,p<0.001)。预计FEV₁%和FVC与eGFR呈中度相关(分别为r = 0.646,p<0.001和r = 0.691,p<0.001),而FEV₁/FVC与eGFR呈弱相关(r =