Prognostic accuracy of SIRS criteria and qSOFA score for in-hospital mortality among influenza patients in the emergency department.


  • 影响因子:2.79
  • DOI:10.1186/s12879-020-05102-7
  • 作者列表:"Chu SE","Seak CJ","Su TH","Chaou CH","Tseng HJ","Li CH
  • 发表时间:2020-05-29

BACKGROUND:The seasonal influenza epidemic is an important public health issue worldwide. Early predictive identification of patients with potentially worse outcome is important in the emergency department (ED). Similarly as with bacterial infection, influenza can cause sepsis. This study was conducted to investigate the effectiveness of the Systemic Inflammatory Response Syndrome (SIRS) criteria and the quick Sequential Organ Failure Assessment (qSOFA) score as prognostic predictors for ED patients with influenza. METHODS:This single-center, retrospective cohort study investigated data that was retrieved from a hospital-based research database. Adult ED patients (age ≥ 18 at admission) with laboratory-proven influenza from 2010 to 2016 were included for data analysis. The initial SIRS and qSOFA scores were both collected. The primary outcome was the utility of each score in the prediction of in-hospital mortality. RESULTS:For the study period, 3561 patients met the study inclusion criteria. The overall in-hospital mortality was 2.7% (95 patients). When the qSOFA scores were 0, 1, 2, and 3, the percentages of in-hospital mortality were 0.6, 7.2, 15.9, and 25%, respectively. Accordingly, the odds ratios (ORs) were 7.72, 11.92, and 22.46, respectively. The sensitivity and specificity was 24 and 96.2%, respectively, when the qSOFA score was ≥2. However, the SIRS criteria showed no significant associations with the primary outcome. The area under the receiver operating characteristic curve (AUC) was 0.864, which is significantly higher than that with SIRS, where the AUC was 0.786 (P < 0.01). CONCLUSIONS:The qSOFA score potentially is a useful prognostic predictor for influenza and could be applied in the ED as a risk stratification tool. However, qSOFA may not be a good screening tool for triage because of its poor sensitivity. The SIRS criteria showed poor predictive performance in influenza for mortality as an outcome. Further research is needed to determine the role of these predictive tools in influenza and in other viral infections.


背景: 季节性流感流行是全球范围内的重要公共卫生问题。早期预测识别预后可能更差的患者在急诊科 (ED) 中很重要。与细菌感染一样,流感可引起败血症。本研究旨在探讨全身炎症反应综合征 (SIRS) 标准和快速序贯器官衰竭评估 (qSOFA) 评分作为流感ED患者预后预测因子的有效性。 方法: 这项单中心、回顾性队列研究调查了从医院研究数据库中检索到的数据。纳入 2010 年至 2016 年经实验室证实的流感成人ED患者 (入院时年龄 ≥ 18 岁) 进行数据分析。同时收集初始SIRS和qSOFA评分。主要结局是各评分在预测住院死亡率中的效用。 结果: 在研究期间,3561 例患者符合研究纳入标准。总体住院死亡率为 2.7% (95 例患者)。当qSOFA评分为 0 、 1 、 2 和 3 时,住院死亡率分别为 0.6 、 7.2 、 1 5.9 和 2 5%。因此,比值比 (or) 分别为 7.72 、 11.92 和 22.46。当qSOFA评分 ≥ 2 分时,敏感性和特异性分别为 2 4 和 96.2%。然而,SIRS标准显示与主要结局无显著相关性。受试者工作特征曲线下面积 (AUC) 为 0.864,显著高于SIRS时的AUC为 0.786 (p <0.01)。 结论: qSOFA评分可能是流感有用的预后预测因子,可作为危险分层工具应用于ED。然而,qSOFA可能不是一个很好的分诊筛选工具,因为其灵敏度较差。SIRS标准显示流感对死亡率作为结局的预测性能较差。需要进一步的研究来确定这些预测工具在流感和其他病毒感染中的作用。



作者列表:["Lim J","Jeon S","Shin HY","Kim MJ","Seong YM","Lee WJ","Choe KW","Kang YM","Lee B","Park SJ"]

METHODS::Since mid-December of 2019, coronavirus disease 2019 (COVID-19) infection has been spreading from Wuhan, China. The confirmed COVID-19 patients in South Korea are those who came from or visited China. As secondary transmissions have occurred and the speed of transmission is accelerating, there are rising concerns about community infections. The 54-year old male is the third patient diagnosed with COVID-19 infection in Korea. He is a worker for a clothing business and had mild respiratory symptoms and intermittent fever in the beginning of hospitalization, and pneumonia symptoms on chest computerized tomography scan on day 6 of admission. This patient caused one case of secondary transmission and three cases of tertiary transmission. Hereby, we report the clinical findings of the index patient who was the first to cause tertiary transmission outside China. Interestingly, after lopinavir/ritonavir (Kaletra, AbbVie) was administered, β-coronavirus viral loads significantly decreased and no or little coronavirus titers were observed.

作者列表:["Zhang W","Du RH","Li B","Zheng XS","Yang XL","Hu B","Wang YY","Xiao GF","Yan B","Shi ZL","Zhou P"]

METHODS::In December 2019, a novel coronavirus (2019-nCoV) caused an outbreak in Wuhan, China, and soon spread to other parts of the world. It was believed that 2019-nCoV was transmitted through respiratory tract and then induced pneumonia, thus molecular diagnosis based on oral swabs was used for confirmation of this disease. Likewise, patient will be released upon two times of negative detection from oral swabs. However, many coronaviruses can also be transmitted through oral-fecal route by infecting intestines. Whether 2019-nCoV infected patients also carry virus in other organs like intestine need to be tested. We conducted investigation on patients in a local hospital who were infected with this virus. We found the presence of 2019-nCoV in anal swabs and blood as well, and more anal swab positives than oral swab positives in a later stage of infection, suggesting shedding and thereby transmitted through oral-fecal route. We also showed serology test can improve detection positive rate thus should be used in future epidemiology. Our report provides a cautionary warning that 2019-nCoV may be shed through multiple routes.

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作者列表:["Cheng ZJ","Shan J"]

METHODS::There is a current worldwide outbreak of a new type of coronavirus (2019-nCoV), which originated from Wuhan in China and has now spread to 17 other countries. Governments are under increased pressure to stop the outbreak spiraling into a global health emergency. At this stage, preparedness, transparency, and sharing of information are crucial to risk assessments and beginning outbreak control activities. This information should include reports from outbreak sites and from laboratories supporting the investigation. This paper aggregates and consolidates the virology, epidemiology, clinical management strategies from both English and Chinese literature, official news channels, and other official government documents. In addition, by fitting the number of infections with a single-term exponential model, we report that the infection is spreading at an exponential rate, with a doubling period of 1.8 days.