Prognostic Impact of Modified Glasgow Prognostic Score in Patients with Heart Failure with Mildly Reduced Ejection Fraction

T. Bezgin, A. Celik, A. Karagöz, Nart Zafer Baytuğan, Metin Çağdaş, S. Karakoyun, C. Kaymaz
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Abstract

Introduction: Inflammation and malnutrition may trigger heart failure development and progression (HF). However, the relationship of the modified Glasgow prognostic score (mGPS), which is derived from C-reactive protein and albumin with mildly reduced ejection fraction HF (HFmrEF), is not well-known. We aimed to determine whether the modified Glasgow prognostic score (mGPS) is helpful for the prediction of all-cause mortality in patients with HFmrEF. Patients and Methods: Patients with HFmrEF admitted to our outpatient clinic between January 2016 and January 2020 were enrolled. All-cause mortality was defined as the primary endpoint. The mGPS was calculated and, its association with overall survival was determined. Results: Data were analyzed for 259 patients. The mGPS≤ 1 in 172 (66%), and 2 in 87 (34%) patients, respectively. Higher mGPS was related to worse results of routine biomarkers associated with prognosis, especially NT-proBNP [777 (112-4564) pg/mL vs. 350 (65-3521) pg/mL, respectively, p< 0.0001)]. In multivariable Cox model, NT-proBNP [1.83 (1.32-2.55), p< 0.0001], mGPS 2 vs. ≤1 [2.43 (1.2-4.93), p= 0.013], and coronary artery disease (CAD) [3.15 (1.46-6.82), p= 0.003] were found to be independently associated with all-cause mortality. Conclusion: The immune-nutritional score mGPS predicts mortality during long-term follow-up of patients with HFmrEF. The mGPS might be used for risk status assessment of HFmrEF.
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改良格拉斯哥预后评分对心力衰竭伴轻度射血分数降低患者预后的影响
炎症和营养不良可能引发心力衰竭的发展和进展。然而,改良格拉斯哥预后评分(mGPS)(由c反应蛋白和白蛋白得出)与轻度射血分数HF (HFmrEF)之间的关系尚不清楚。我们的目的是确定改良格拉斯哥预后评分(mGPS)是否有助于预测HFmrEF患者的全因死亡率。患者和方法:纳入2016年1月至2020年1月在我们门诊就诊的HFmrEF患者。全因死亡率被定义为主要终点。计算mGPS,并确定其与总生存率的关系。结果:259例患者资料分析。172例(66%)患者mGPS≤1,87例(34%)患者mGPS≤2。mGPS越高,与预后相关的常规生物标志物结果越差,尤其是NT-proBNP[分别为777 (112-4564)pg/mL和350 (65-3521)pg/mL, p< 0.0001]。在多变量Cox模型中,NT-proBNP [1.83 (1.32-2.55), p< 0.0001]、mGPS 2 vs.≤1 [2.43 (1.2-4.93),p= 0.013]、冠状动脉疾病(CAD) [3.15 (1.46-6.82), p= 0.003]与全因死亡率独立相关。结论:免疫营养评分mGPS可预测HFmrEF患者长期随访期间的死亡率。mGPS可用于HFmrEF的风险状态评估。
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