de Castilho Fábio M, Ribeiro Antonio Luiz P, da Silva José Luiz P, Nobre Vandack, de Sousa Marcos R
Hospital das Clínicas and School of Medicine, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil.
Department of Statistics, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil.
PLoS One. 2017 Jun 27;12(6):e0180060. doi: 10.1371/journal.pone.0180060. eCollection 2017.
Sepsis is a serious medical condition with increasing prevalence and high mortality. The role of the autonomic nervous system in pathophysiology of sepsis has been increasingly researched. The objective of this study is to evaluate the Heart rate variability (HRV) as a predictor of mortality in septic patients.
This was a prospective cohort of patients diagnosed with sepsis. Patient recruitment was carried out at ICU in tertiary university hospital between March 2012 and February 2014. Clinical data and laboratory exams were collected at admission. Each patient underwent a 20-minute Holter and a 24-hour Holter on the first day of enrollment. The primary outcome was the 28-day all-cause mortality.
A total of 63 patients were included. Patients were categorized into nonsurvivor group (n = 16) or survivor group (n = 47) depending on this endpoint. Survivors were younger (48.6 years vs. 63.0 years), had better renal function and lower values in severity scores (APACHE II and SOFA) compared to nonsurvivors. In the 20-minute Holter, SDNN, Total Power, VLF Power, LF Power and LF/HF of nonsurvivors were significantly lower than those of survivors (p = <0.001, p = 0.003, p = 0.002, p = 0.006, p = 0.009 respectively). ROC curve of SDNN was built, showing area under the curve of 0.772 (0.638-0.906) for mortality. The value of 17ms was chosen as best SDNN cutoff to discriminate survivors and nonsurvivors. In the Cox proportional regression, adjusted for SOFA score and for APACHE II, a SDNN ≤ 17ms was associated with a greater risk of death, with hazard ratios of 6.3 (1.4-28.0; p = 0.015) and 5.5 (1,2-24,8; p = 0.027), respectively. The addition of the dichotomized SDNN to the SOFA model reduced AIC and increased the concordance statistic and the R2, indicating that predictive power of the SDNN + SOFA model is better than predictive power of SOFA only.
Several HRV parameters are reduced in nonsurviving septic patients. SDNN ≤17 is a risk factor for death in septic patients, even after adjusting for severity scores.
脓毒症是一种严重的医学病症,其患病率不断上升且死亡率很高。自主神经系统在脓毒症病理生理学中的作用已得到越来越多的研究。本研究的目的是评估心率变异性(HRV)作为脓毒症患者死亡率的预测指标。
这是一项对诊断为脓毒症的患者进行的前瞻性队列研究。2012年3月至2014年2月期间在一所三级大学医院的重症监护病房招募患者。入院时收集临床数据和实验室检查结果。每位患者在入组第一天进行20分钟动态心电图监测和24小时动态心电图监测。主要结局是28天全因死亡率。
共纳入63例患者。根据这一终点,患者被分为非存活组(n = 16)或存活组(n = 47)。与非存活者相比,存活者更年轻(48.6岁对63.0岁),肾功能更好,严重程度评分(APACHE II和SOFA)值更低。在20分钟动态心电图监测中,非存活者的SDNN、总功率、极低频功率、低频功率和低频/高频比值显著低于存活者(分别为p = <0.001、p = 0.003、p = 0.002、p = 0.006、p = 0.009)。构建了SDNN的ROC曲线,显示死亡率的曲线下面积为0.772(0.638 - 0.906)。选择17ms作为区分存活者和非存活者的最佳SDNN截断值。在Cox比例回归中,校正SOFA评分和APACHE II后,SDNN≤17ms与死亡风险增加相关,危险比分别为6.3(1.4 - 28.0;p = 0.015)和5.5(1.2 - 24.8;p = 0.027)。将二分法的SDNN添加到SOFA模型中降低了AIC,增加了一致性统计量和R2,表明SDNN + SOFA模型的预测能力优于仅SOFA模型。
非存活脓毒症患者的几个HRV参数降低。即使校正严重程度评分后,SDNN≤17仍是脓毒症患者死亡的危险因素。