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哪些人口统计学和临床因素与坏死性筋膜炎患者的住院死亡率相关?

What Demographic and Clinical Factors Are Associated with In-hospital Mortality in Patients with Necrotizing Fasciitis?

机构信息

J. Karnuta, J. Golubovsky, J. Thomas, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.

J. Featherall, J. Lawrenz, J. Gordon, D. Ramanathan, L. M. Nystrom, N. W. Mesko, Department of Orthopaedic Surgery, Cleveland Clinic, Cleveland, Ohio, USA.

出版信息

Clin Orthop Relat Res. 2020 Aug;478(8):1770-1779. doi: 10.1097/CORR.0000000000001187.

Abstract

BACKGROUND

Necrotizing fasciitis is a rare infection with rapid deterioration and a high mortality rate. Factors associated with in-hospital mortality have not been thoroughly evaluated. Although predictive models identifying the diagnosis of necrotizing fasciitis have been described (such as the Laboratory Risk Indicator for Necrotizing Fasciitis [LRINEC]), their use in predicting mortality is limited.

QUESTIONS/PURPOSES: (1) What demographic factors are associated with in-hospital mortality in patients with necrotizing fasciitis? (2) What clinical factors are associated with in-hospital mortality? (3) What laboratory values are associated with in-hospital mortality? (4) Is the LRINEC score useful in predicting mortality?

METHODS

We retrospectively studied all patients with necrotizing fasciitis at our tertiary care institution during a 10-year period. In all, 134 patients were identified; after filtering out patients with missing data (seven) and those without histologically confirmed necrotizing fasciitis (12), 115 patients remained. These patients were treated with early-initiation antibiotic therapy and aggressive surgical intervention once the diagnosis was suspected. Demographic data, clinical features, laboratory results, and treatment variables were identified. The median age was 56 years and 42% of patients were female. Of the 115 patients analyzed, 15% (17) died in the hospital. Univariate and receiver operating characteristic analyses were performed due to the low number of mortality events seen in this cohort.

RESULTS

The demographic factors associated with in-hospital mortality were older age (median: 64 years for nonsurvivors [interquartile range (IQR) 57-79] versus 55 years for survivors [IQR 45-63]; p = 0.002), coronary artery disease (odds ratio 4.56 [95% confidence interval (CI) 1.51 to 14]; p = 0.008), chronic kidney disease (OR 4.92 [95% CI 1.62 to 15]; p = 0.006), and transfer from an outside hospital (OR 3.47 [95% CI 1.19 to 10]; p = 0.02). The presenting clinical characteristics associated with in-hospital mortality were positive initial blood culture results (OR 4.76 [95% CI 1.59 to 15]; p = 0.01), lactic acidosis (OR 4.33 [95% CI 1.42 to 16]; p = 0.02), and multiple organ dysfunction syndrome (OR 6.37 [95% CI 2.05 to 20]; p = 0.002). Laboratory values at initial presentation that were associated with in-hospital mortality were platelet count (difference of medians -136 [95% CI -203 to -70]; p < 0.001), serum pH (difference of medians -0.13 [95% CI -0.21 to -0.03]; p = 0.02), serum lactate (difference of medians 0.90 [95% CI 0.40 to 4.80]; p < 0.001), serum creatinine (difference of medians 1.93 [95% CI 0.65 to 3.44]; p < 0.001), partial thromboplastin time (difference of medians 8.30 [95% CI 1.85 to 13]; p = 0.03), and international normalized ratio (difference of medians 0.1 [95% CI 0.0 to 0.5]; p = 0.004). The LRINEC score was a poor predictor of mortality with an area under the receiver operating characteristics curve of 0.56 [95% CI 0.45-0.67].

CONCLUSIONS

Factors aiding clinical recognition of necrotizing fasciitis are not consistently helpful in predicting mortality of this infection. Identifying patients with potentially compromised organ function should lead to aggressive and expedited measures for diagnosis and treatment. Future multicenter studies with larger populations and a standardized algorithm of treatment triggered by high clinical suspicion can be used to validate these findings to better help prognosticate this potentially fatal diagnosis.Level of Evidence Level III, therapeutic study.

摘要

背景

坏死性筋膜炎是一种罕见的感染,具有迅速恶化和高死亡率的特点。与院内死亡率相关的因素尚未得到彻底评估。虽然已经描述了识别坏死性筋膜炎的诊断的预测模型(如实验室风险指数坏死性筋膜炎[LRINEC]),但它们在预测死亡率方面的应用受到限制。

问题/目的:(1)哪些人口统计学因素与坏死性筋膜炎患者的院内死亡率相关?(2)哪些临床因素与院内死亡率相关?(3)哪些实验室值与院内死亡率相关?(4)LRINEC 评分是否有助于预测死亡率?

方法

我们回顾性研究了在我们的三级医疗机构治疗的 10 年内所有患有坏死性筋膜炎的患者。共确定了 134 例患者,排除了数据缺失的患者(7 例)和没有组织学证实的坏死性筋膜炎的患者(12 例)后,仍有 115 例患者。这些患者在怀疑诊断后立即接受了早期起始的抗生素治疗和积极的手术干预。确定了人口统计学数据、临床特征、实验室结果和治疗变量。中位年龄为 56 岁,42%的患者为女性。在分析的 115 例患者中,15%(17 例)在医院死亡。由于该队列中死亡率事件数量较少,因此进行了单变量和接受者操作特征分析。

结果

与院内死亡率相关的人口统计学因素是年龄较大(中位数:64 岁为非幸存者[四分位距(IQR)57-79],55 岁为幸存者[IQR 45-63];p = 0.002)、冠状动脉疾病(优势比 4.56[95%置信区间(CI)1.51 至 14];p = 0.008)、慢性肾脏病(OR 4.92[95%CI 1.62 至 15];p = 0.006)和从外院转来(OR 3.47[95%CI 1.19 至 10];p = 0.02)。与院内死亡率相关的初始临床表现特征是阳性初始血培养结果(OR 4.76[95%CI 1.59 至 15];p = 0.01)、乳酸酸中毒(OR 4.33[95%CI 1.42 至 16];p = 0.02)和多器官功能障碍综合征(OR 6.37[95%CI 2.05 至 20];p = 0.002)。初始表现时与院内死亡率相关的实验室值是血小板计数(中位数差异-136[95%CI-203 至-70];p < 0.001)、血清 pH(中位数差异-0.13[95%CI-0.21 至-0.03];p = 0.02)、血清乳酸(中位数差异 0.90[95%CI 0.40 至 4.80];p < 0.001)、血清肌酐(中位数差异 1.93[95%CI 0.65 至 3.44];p < 0.001)、部分凝血活酶时间(中位数差异 8.30[95%CI 1.85 至 13];p = 0.03)和国际标准化比值(中位数差异 0.1[95%CI 0.0 至 0.5];p = 0.004)。LRINEC 评分预测死亡率的效果较差,接受者操作特征曲线下面积为 0.56[95%CI 0.45-0.67]。

结论

有助于临床识别坏死性筋膜炎的因素并不能始终有助于预测这种感染的死亡率。识别可能存在器官功能受损的患者应导致积极和迅速采取诊断和治疗措施。未来可以使用具有更大人群和触发高临床怀疑的标准化治疗算法的多中心研究来验证这些发现,以更好地帮助预测这一潜在致命诊断。

证据水平 III,治疗性研究。

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