Gandhi Rohankumar, Kalsariya Vijay, Katara Roshan, Murugan Yogesh
Community and Family Medicine, Guru Gobindsingh Government Hospital, Jamnagar, IND.
Pulmonary Medicine, Guru Gobindsingh Government Hospital, Jamnagar, IND.
Cureus. 2024 Mar 21;16(3):e56651. doi: 10.7759/cureus.56651. eCollection 2024 Mar.
Biomarkers such as sarcopenia, eosinopenia, and C-reactive protein (CRP) may predict adverse events in chronic obstructive pulmonary disease (COPD) exacerbations. We aimed to determine their prognostic utility and accuracy versus conventional measures.
This was a prospective analysis of COPD patients hospitalized for acute exacerbations for more than one year. Patients with primary diagnoses other than COPD were excluded. A total of 200 participants were screened, and 50 experienced adverse events, including mortality, rehospitalization, prolonged stay, hypoxemia, or hypercapnia. Data on demographics, lung function, symptoms, nutrition, frailty, sarcopenia, the eosinophil-to-platelet ratio (EPR), and CRP were extracted. Differences between groups were analyzed using t-tests and regression modeling.
Elevated CRP and a low EPR were significant predictors of adverse events after adjustment, with CRP having an area under the curve (AUC) of 0.71 (0.64-0.80) and EPR having an AUC of 0.76 (0.61-0.79) for composite outcomes. According to the multivariate logistic regression analysis, sarcopenia (adjusted Or (aOR)-1.97 (1.87-4.44)), EPR (aOR-2.33 (1.02-5.32)), and CRP (aOR-2.09 (1.01-3.18)) remained significant.
The EPR and CRP levels are useful prognostic markers of in-hospital morbidity and mortality during COPD exacerbations. However, multidimensional assessments incorporating other treatable traits may further optimize risk prediction and reduce adverse outcomes.
肌肉减少症、嗜酸性粒细胞减少症和C反应蛋白(CRP)等生物标志物可能预测慢性阻塞性肺疾病(COPD)急性加重期的不良事件。我们旨在确定它们相对于传统指标的预后效用和准确性。
这是一项对因急性加重住院超过一年的COPD患者的前瞻性分析。排除患有COPD以外原发性疾病的患者。共筛选了200名参与者,其中50人经历了不良事件,包括死亡、再次住院、住院时间延长、低氧血症或高碳酸血症。提取了人口统计学、肺功能、症状、营养、虚弱、肌肉减少症、嗜酸性粒细胞与血小板比值(EPR)和CRP的数据。使用t检验和回归模型分析组间差异。
调整后,CRP升高和EPR降低是不良事件的显著预测因素,复合结局中CRP的曲线下面积(AUC)为0.71(0.64 - 0.80),EPR的AUC为0.76(0.61 - 0.79)。根据多因素逻辑回归分析,肌肉减少症(调整后比值比(aOR)-1.97(1.87 - 4.44))、EPR(aOR - 2.33(1.02 - 5.32))和CRP(aOR - 2.09(1.01 - 3.18))仍然具有显著性。
EPR和CRP水平是COPD急性加重期院内发病和死亡的有用预后标志物。然而,纳入其他可治疗特征的多维评估可能会进一步优化风险预测并减少不良结局。