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Fungal Infection in Acutely Decompensated Cirrhosis Patients: Value of Model for End-Stage Liver Disease Score

机译:急性失代偿肝硬化患者的真菌感染:终末期肝病分数模型的价值

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Background: Infection in acute-on-chronic liver failure (ACLF) patients is known to cause higher mortality. The current approach is to culture all patient samples. There are no published data evaluating fungal infections in acutely decompensated patients. In this study, we aim to identify clinical factors predictive of infections within ACLF patients and assess workup compliance within 24 h of hospital admission. Methods: We retrospectively analyzed the charts of 457 ACLF patients seen at the University of Arizona between January 1, 2014 and December 31, 2014. We used logistic regression to identify potential risk indicators for bacterial, fungal, and any infections. In order to proceed to a systemic infection workup, the following parameters were assessed: complete blood count, urinalysis, urine culture, bacterial blood culture, chest X-ray, and ascitic fluid analysis in patients with ascites. Additionally, serological markers were also assessed in patient samples. Systemic inflammatory response syndrome (SIRS) was defined as the presence of two or more of the following criteria: temperature 38 °C or 90 beats/min, respiratory rate 20 breaths/min, white blood cell count 12,000 or 10% bands. Results: An established infection was observed in 60.61% of ACLF patients. SIRS criteria predicted infections with concordance statistic (C-statistic) of 0.71 (odds ratio (OR) 6.85, 95% confidence interval (CI): 4.33, 10.85) for any infection, 0.63 (OR 2.88, 95% CI: 1.96, 4.23) for bacterial infection, and 0.53 (OR 1.32, 95% CI: 0.59, 2.96) for fungal infection. After including other significant variables (over 10 additional variables), predictive ability improved, C-statistic 0.83 (95% CI: 0.77, 0.90) for any infection and 0.71 (95% CI: 0.65, 0.77) for bacterial infections. The combination of model for end-stage liver disease (MELD) and hemoglobin (Hb) predicted fungal infections with C-statistic 0.74 (95% CI: 0.63, 0.84). Workup within 24 h of admission was obtained in 12% of patients. Conclusions: Fungal infections in ACLF patients results in an increased mortality rate. Elevated MELD and low Hb in combination predict fungal infections. Compliance is very poor to obtain diagnostic workup efficiently, better tools are needed to predict infection upon admission.
机译:背景:已知急性对慢性肝功能衰竭(ACLF)患者的感染引起更高的死亡率。目前的方法是培养所有患者样品。在急性失代偿患者中没有公布的数据评估真菌感染。在这项研究中,我们的目标是识别预测ACLF患者的感染的临床因素,并评估24小时内的工作遵守情况。方法:回顾性分析了2014年1月1日至2014年12月31日在亚利桑那大学观察到的457 ACLF患者的图表。我们使用Logistic回归来确定细菌,真菌和任何感染的潜在风险指标。为了进行全身感染次数,评估以下参数:腹水患者的完全血统计数,尿液分数,尿培养,细菌血液培养,胸X射线和腹水流体分析。此外,还在患者样品中评估血清学标记。全身炎症反应综合征(SIRS)被定义为以下标准中的两种或更多种或更多标准:温度> 38℃或90次节拍/分钟,呼吸速率> 20呼吸/分钟,白细胞计数> 12,000或10%的带。结果:在60.61%的ACLF患者中观察到既定的感染。 SIRS标准预测具有0.71(或)6.85,95%,95%置信区间(CI):4.33,10.85)的一致性统计(C级)的感染,0.63(或2.88,95%CI:1.96,4.23 )对于真菌感染的细菌感染和0.53(或1.32,95%:0.59,2.96)。在包括其他显着变量(超过10个额外变量)后,任何感染的预测能力改善,C统计0.83(95%CI:0.77,0.90),用于细菌感染0.71(95%CI:0.65,0.77)。终末期肝病(MELD)和血红蛋白(HB)模型的组合预测了C型统计0.74的真菌感染(95%CI:0.63,0.84)。在12%的患者中获得了24小时内的余处。结论:ACLF患者的真菌感染导致死亡率增加。组合中升高的融合和低HB预测真菌感染。合规性非常糟糕,无法高效地获得诊断工作,需要更好的工具来预测入院时感染。

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