新型冠状病毒感染对脑出血合并肺部感染患者短期预后不良预测价值的多中心回顾性研究OA北大核心CSTPCD
A multicenter retrospective study on the predictive value of coronavirus disease 2019 on the short-term poor prognosis in patients with cerebral hemorrhage complicated with pulmonary infection
目的 分析新型冠状病毒感染对脑出血合并肺部感染患者短期预后不良的预测效能.方法 回顾性连续纳入2020年12月至2023年12月贵州医科大学附属医院、贵州医科大学第二附属医院、贵州医科大学附属白云医院、贵州医科大学附属乌当医院、贵州医科大学附属金阳医院、贵阳市第一人民医院、贵州省六盘水市人民医院、首都医科大学附属北京安贞医院住院治疗的脑出血患者共155例,分别为86、13、6、4、26、5、14、1例,所有患者合并肺部感染.按照患者是否存在新型冠状病毒感染分为脑出血合并肺部感染及新型冠状病毒感染组即新冠阳性组和脑出血合并肺部感染但不合并新型冠状病毒感染组即新冠阴性组.入院2周时采用改良Rankin量表(mRS)对患者进行预后评分,以mRS评分≤3分为预后良好,纳入预后良好组,以mRS评分>3分为预后不良,纳入预后不良组.对比各组患者入院时人口学资料(年龄、性别)、既往史(高血压病、糖尿病)、个人史(吸烟史)及临床资料如入院美国国立卫生研究院卒中量表(NIHSS)评分、入院格拉斯哥昏迷量表(GCS)评分、出血量、脑疝形成、血肿规则与否、临床检验指标[白细胞计数、中性粒细胞、淋巴细胞、单核细胞、血小板计数、C反应蛋白、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、肌酐、尿素、丙氨酸转氨酶、天门氨酸转氨酶、凝血酶原时间、活化部分凝血活酶时间]、新型冠状病毒感染情况、头部CT及胸部CT、机械通气与否、手术治疗、抗病毒治疗、脓毒症发生情况以及出院时NIHSS评分、出院时GCS评分以及入院2周时mRS评分等指标.采用多因素Logistic回归分析方法分析影响脑出血合并肺部感染患者短期预后不良的独立危险因素,受试者工作特征(ROC)曲线评估各危险因素对脑出血合并肺部感染患者短期预后不良的预测效能.结果 (1)新冠阳性组较新冠阴性组患者入院NIHSS评分升高,淋巴细胞降低,C反应蛋白升高,NLR、PLR升高,入院2周时mRS评分升高,机械通气患者比例升高,抗病毒治疗患者比例升高,差异均具有统计学意义(均P<0.05).(2)与预后良好组比较,预后不良组脑疝形成患者比例[25.5%(13/51)比1.9%(2/104)]及新型冠状病毒感染发生率[62.7%(32/51)比31.7%(33/104)]明显增高(均P<0.01),入院NIHSS评分升高[中位数评分:34(15,40)比8(4,11)分,P<0.01],入院GCS评分降低[9(5,12)分比 14(12,15)分,P<0.01],尿素升高[5.90(4.50,7.01)mmol/L 比4.90(4.10,5.86)mmol/L,P=0.028],脓毒症发生率[13.7%(7/51)比0]、机械通气患者比例[58.8%(30/51)比6.8%(7/104)]均增高(均P<0.01),出院时NIHSS评分较高[中位数评分:14.00(10.75,21.00)分比3.00(0.00,6.00)分,P<0.01],出院时 GCS 评分较低[12(10,14)分比 15(15,15)分,P<0.01].(3)Logistic回归分析结果表明,新型冠状病毒感染[OR(95%CI):4.041(1.264~12.920),P=0.019]、机械通气应用[OR(95%CI):9.116(2.467~33.683),P=0.001]、入院 NIHSS 评分增加[OR(95%CI):1.118(1.015~1.231),P=0.023]均为脑出血合并肺部感染患者短期预后不良的独立危险因素,新型冠状病毒感染的ROC曲线下面积为0.663,敏感度和特异度分别为64.0%和68.6%;机械通气的ROC曲线下面积为0.766,敏感度和特异度分别为60.0%和93.1%;新型冠状病毒感染与机械通气联合预测的ROC曲线下面积为0.825,敏感度和特异度分别为60.0%和93.1%.结论 新型冠状病毒感染、机械通气应用可能使脑出血合并肺部感染患者短期预后不良的风险增加,该结论有待大样本、多中心研究进一步验证.
Objective To analyze the impact of coronavirus disease 2019 on the short-term prognosis of patients with cerebral hemorrhage complicated with pulmonary infection and its predictive efficacy.Methods We retrospectively included patients with cerebral hemorrhage complicated with pulmonary infection who were hospitalized in Affiliated Hospital of Guizhou Medical University,the Second Affiliated Hospital of Guizhou Medical University,Baiyun Hospital Affiliated to Guizhou Medical University,Wudang Hospital Affiliated to Guizhou Medical University,Jinyang Hospital Affiliated to Guizhou Medical University,Guiyang First People's Hospital,the People's Hospital of Liupanshui City,and Beijing Anzhen Hospital Affiliated to Capital Medical University from December 2020 to December 2023.There were a total of 155 patients with 86,13,6,4,26,5,14 and 1 patients in each center.The patients were divided into two groups based on the presence of coronavirus disease 2019:the positive group(patients with cerebral hemorrhage complicated with pulmonary infection and coronavirus disease 2019)and the negative group(patients with cerebral hemorrhage complicated with pulmonary infection and without coronavirus disease 2019).The patients were further divided into two groups based on the modified Rankin scale(mRS)score at 2 weeks after admission:the good prognosis group(mRS score≤3 scores)and the poor prognosis group(mRS score>3 scores).Demographic data(age,gender),past history(hypertension,diabetes mellitus),personal history(smoking history)and clinical data such as the National Institutes of Health stroke scale(NIHSS)score and Glasgow coma scale(GCS)score at admission,amount of bleeding,cerebral herniation formation,hematoma rule,clinical test indicators(white blood cell count,neutrophil,lymphocyte,monocyte,platelet count,C reactive protein,neutrophil to lymphocyte ratio[NLR],platelet-to-lymphocyte ratio[PLR],creatinine,urea,alanine aminotransferase,aspartate aminotransferase,prothrombin time,activated partial thromboplastin time),coronavirus disease 2019 condition,head CT and chest CT,mechanical ventilation or not,surgical treatment,antiviral treatment,sepsis incidence,NIHSS score at discharge,GCS score at discharge,mRS score at 2 weeks of admission and other indicators.Logistic regression analysis was used to identify independent risk factors for poor short-term prognosis in patients with cerebral hemorrhage complicated with pulmonary infection,and receiver operating characteristic(ROC)curves were used to evaluate the predictive efficacy of these risk factors.Results(1)Compared with the negative group,the positive group had higher NIHSS scores at admission,lower lymphocyte counts,higher C reactive protein levels,higher NLR and PLR,higher mRS scores at 2 weeks after admission,a higher proportion of patients receiving mechanical ventilation,and higher antiviral treatment,with statistically significant differences(all P<0.05).(2)Compared with the good prognosis group,the poor prognosis group had significantly higher proportions of patients with cerebral herniation(25.5%[13/51]vs.1.9%[2/104])and coronavirus disease 2019(62.7%[32/51]vs.31.7%[33/104],both P<0.01.The poor prognosis group also had higher NIHSS scores at admission(median score:34[15,40]vs.8[4,11]),lower GCS scores at admission(9[5,12]vs.14[12,15]),higher urea levels(5.90[4.50,7.01]mmol/L vs.4.90[4.10,5.86]mmol/L,P=0.028),higher rates of sepsis(13.7%[7/51]vs.0),and a higher proportion of patients receiving mechanical ventilation(58.8%[30/51]vs.6.8%[7/104],all P<0.01.The poor prognosis group also had higher NIHSS scores at discharge(median score:14.00[10.75,21.00]vs.3.00[0.00,6.00])and lower GCS scores at discharge(12[10,14]vs.15[15,15]),both P<0.01.(3)Logistic regression analysis showed that coronavirus disease 2019(OR[95%CI]:4.041[1.264-12.920],P=0.019),the use of mechanical ventilation(OR[95%CI]:9.116[2.467-33.683],P=0.001),and high NIHSS scores at admission(OR[95%CI]:1.118[1.015-1.231],P=0.023)were independent risk factors for poor prognosis in patients with cerebral hemorrhage complicated with pulmonary infection.The area under the ROC curve of coronavirus disease 2019 for predicting poor prognosis in patients with cerebral hemorrhage complicated with pulmonary infection was 0.663,with sensitivity and specificity of 64.0%and 68.6%,respectively.The area under the ROC curve of mechanical ventilation support for predicting poor prognosis in patients with cerebral hemorrhage complicated with pulmonary infection was 0.766,with sensitivity and specificity of 60.0%and 93.1%,respectively.The area under the ROC curve of coronavirus disease 2019 and mechanical ventilation support was 0.825,with sensitivity and specificity of 60.0%and 93.1%,respectively.Conclusion The coronavirus disease 2019 and the application of mechanical ventilation support are independent risk factors for poor short-term prognosis in patients with cerebral hemorrhage complicated with pulmonary infection,which need to be further verified by large-sample,multi-center studies.
张泽华;史雨晨;柳景华;李如月;张雪;任思颖;伍国锋;王丽琨
550004 贵阳,贵州医科大学临床医学院首都医科大学附属北京安贞医院心内科贵州医科大学附属医院急诊神经科
脑出血新型冠状病毒感染肺部感染机械通气不良预后
Cerebral hemorrhageCoronavirus disease 2019Pulmonary infectionMechanical ventilationPoor prognosis
《中国脑血管病杂志》 2024 (004)
236-245 / 10
贵州省科技计划项目(黔科合支撑[2021]一般071、黔科合平台人才[2021]5612);北京市"青苗"计划(QML20230607)
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