Internal Medicine Department "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania.
Cardiology Department, Colentina University Hospital, Bucharest, Romania.
Scand Cardiovasc J. 2021 Aug;55(4):227-236. doi: 10.1080/14017431.2021.1900595. Epub 2021 Mar 24.
. The mutual relation between heart failure (HF) and inflammation is reflected in blood cell homeostasis. Neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR) and platelet-lymphocyte ratio (PLR) were linked to HF severity and prognosis. . Our objective was to compare the three ratios for predicting in-hospital outcome of HF patients, in order to establish which is best suited for clinical practice. . Consecutive HF patients admitted to a Cardiology Department from a tertiary hospital were retrospectively evaluated for inclusion. Readmissions and pathologies modifying the hematological indices were excluded. Extended length of hospital stay (LOS) was considered over 7 d. In-hospital all-cause mortality was evaluated. The hematological indices in heart failure (HI-HF) cohort included 1299 patients with a mean age of 72.35 ± 10.45 years, 51.96% women. 2.85% died during hospitalization. 22.17% had extended LOS. In Cox regression for in-hospital mortality alongside parameters from the OPTIMIZE-HF proposed model, all three ratios were independent predictors of mortality. In Cox regression including NT-proBNP, dyspnea at rest, chronic obstructive pulmonary disease (COPD), age and systolic blood pressure, only MLR was an independent predictor of in-hospital mortality (HR 1.68, 95% CI 1.22 - 2.32, = .002). In multivariable logistic regression, all three ratios independently predicted extended LOS. MLR > 0.48 associated the highest probability (OR 1.76, 95% CI 1.25 - 2.46, = .001). Hematological indices could be cost-effective and easily available auxiliary biomarkers for in-hospital prognosis of HF patients. We propose MLR > 0.48 as the strongest predictor of in-hospital mortality and prolonged hospitalization.
. 心力衰竭(HF)和炎症之间的相互关系反映在血细胞动态平衡中。中性粒细胞-淋巴细胞比值(NLR)、单核细胞-淋巴细胞比值(MLR)和血小板-淋巴细胞比值(PLR)与 HF 的严重程度和预后相关。. 我们的目的是比较这三种比值来预测 HF 患者的住院结局,以确定哪种比值最适合临床实践。. 连续纳入来自一家三级医院心内科的 HF 患者进行回顾性评估。排除再入院和改变血液学指标的病理情况。延长住院时间(LOS)定义为超过 7 天。评估住院期间全因死亡率。. 在 HI-HF 队列中,血液学指标包括 1299 例患者,平均年龄为 72.35±10.45 岁,女性占 51.96%。住院期间有 2.85%的患者死亡。22.17%的患者 LOS 延长。在 Cox 回归分析中,将 OPTIMIZE-HF 提出的模型中的参数与住院期间死亡率一起纳入,所有三种比值都是死亡率的独立预测因子。在包括 NT-proBNP、静息呼吸困难、慢性阻塞性肺疾病(COPD)、年龄和收缩压的 Cox 回归中,只有 MLR 是住院期间死亡率的独立预测因子(HR 1.68,95%CI 1.22-2.32, = .002)。在多变量逻辑回归中,所有三种比值均独立预测 LOS 延长。MLR>0.48 与最高概率相关(OR 1.76,95%CI 1.25-2.46, = .001)。. 血液学指标可能是 HF 患者住院期间预后的具有成本效益和易于获得的辅助生物标志物。我们提出 MLR>0.48 是住院死亡率和延长住院时间的最强预测因子。