J Acad Nutr Diet. 2019 Dec;119(12):2069-2084. doi: 10.1016/j.jand.2019.04.019. Epub 2019 Jul 8.
Protein-energy malnutrition (PEM), resulting from depleted energy and nutrient stores, compromises the body's defense systems and may exacerbate sepsis and its impact. However, population-based studies examining the association of PEM on the prevalence and health-care burden of sepsis are lacking.
To investigate the relationship between PEM and sepsis, influence of PEM on clinical outcomes of sepsis, and impact of PEM on trends in sepsis mortality.
The primary study is a retrospective cohort analysis of the 2012-2014 National Inpatient Sample (NIS) patient discharge records. Secondary analyses are cross-sectional study on the 2014 NIS and trend analysis on 2007-2014 NIS.
PARTICIPANTS/SETTING: The primary study included adult inpatient hospitalizations for sepsis in the United States.
Mortality, complicated sepsis, and 10 other metrics of clinical outcomes and health care utilization.
First, patients with sepsis (2014 NIS) were stratified into two groups: uncomplicated (without shock) and complicated (with shock). The adjusted odds ratio of having sepsis (total, uncomplicated, and complicated) was estimated with PEM as predictor using logistic regressions (binomial and multinomial). Second, among patients with sepsis (2012-2014 NIS), PEM cases were matched to cases without PEM (no-PEM) using a greedy-algorithm based propensity-matching methodology (1:1), and the outcomes were measured with conditional regression models. Finally, the trend in mortality from sepsis was calculated, stratified by PEM status, as an effect modifier, using Poisson models (2007-2014 NIS). All models accounted for the complex sampling methodology (SAS 9.4).
In 2014, PEM was associated with higher odds for sepsis (3.97 [3.89 to 4.05], P<0.0001) and complicated vs uncomplicated sepsis (1.74 [1.67 to 1.81], P<0.0001). From 2012-2014, about 18% (167,133 of 908,552) of hospitalizations for sepsis had coexisting PEM. After propensity matching, PEM was associated with higher mortality (adjusted odds ratio: 1.35 [1.32 to 1.37], P<0.0001), cost ($160,724 [159,517 to 161,940] vs $86,650 [85,931 to 87,375], P<0.0001), length of stay (14.8 [14.9 to 14.8] vs 8.5 [8.5 to 8.6] days, P<0.0001), adverse events, and resource utilization. Although mortality in sepsis has been trending down from 2007-2014 (-1.19% per year, P trend<0.0001), the decrease was less pronounced among those with PEM vs no-PEM (-0.86% per year vs -1.29% per year, P<0.0001).
PEM is a risk factor for sepsis and associated with poorer outcomes among patients with sepsis. A concerted effort involving all health care workers in the prevention, identification, and treatment of PEM in community-dwelling people before hospitalization might mitigate against these devastating outcomes.
由于能量和营养储存的消耗,导致蛋白质-能量营养不良(PEM),从而损害了身体的防御系统,并可能使脓毒症及其影响恶化。然而,缺乏基于人群的研究来检查 PEM 对脓毒症的患病率和医疗负担的影响。
研究 PEM 与脓毒症之间的关系,PEM 对脓毒症临床结果的影响,以及 PEM 对脓毒症死亡率趋势的影响。
主要研究是对 2012-2014 年全国住院患者样本(NIS)患者出院记录进行回顾性队列分析。二次分析是对 2014 年 NIS 的横断面研究和对 2007-2014 年 NIS 的趋势分析。
参与者/设置:主要研究包括美国成人脓毒症住院患者。
死亡率、复杂脓毒症和其他 10 项临床结果和医疗保健利用指标。
首先,将脓毒症(2014 年 NIS)患者分为两组:不复杂(无休克)和复杂(有休克)。使用逻辑回归(二项和多项),以 PEM 为预测因子,估计患有脓毒症(总脓毒症、不复杂脓毒症和复杂脓毒症)的调整优势比。其次,在脓毒症患者(2012-2014 年 NIS)中,使用基于贪婪算法的倾向匹配方法(1:1),将 PEM 病例与无 PEM 病例(无 PEM)进行匹配,并使用条件回归模型测量结果。最后,使用泊松模型(2007-2014 年 NIS),将脓毒症死亡率的趋势按 PEM 状态分层,作为效应修饰剂进行计算。所有模型都考虑了复杂的抽样方法(SAS 9.4)。
2014 年,PEM 与脓毒症(3.97 [3.89 至 4.05],P<0.0001)和复杂与不复杂脓毒症(1.74 [1.67 至 1.81],P<0.0001)的发生几率较高相关。从 2012 年到 2014 年,约 18%(908552 例脓毒症住院患者中有 167133 例合并 PEM)。经过倾向匹配后,PEM 与较高的死亡率(调整优势比:1.35 [1.32 至 1.37],P<0.0001)、成本(160724 美元[159517 美元至 161940 美元] vs 86650 美元[85931 美元至 87375 美元],P<0.0001)、住院时间(14.8 [14.9 至 14.8] 天 vs 8.5 [8.5 至 8.6] 天,P<0.0001)、不良事件和资源利用率相关。尽管脓毒症的死亡率从 2007 年至 2014 年呈下降趋势(每年下降 1.19%,P<0.0001),但与无 PEM 患者相比,PEM 患者的死亡率下降幅度较小(每年下降 0.86% 与每年下降 1.29%,P<0.0001)。
PEM 是脓毒症的一个危险因素,与脓毒症患者的预后较差有关。所有医疗保健工作者共同努力,在社区居住人群中预防、识别和治疗 PEM,可能会减轻这些毁灭性的后果。