[1]只棣媛,陈倩倩,孔海芳,等.临床患者碳青霉烯类耐药肠杆菌目细菌感染及死亡危险因素分析[J].天津医科大学学报,2023,29(05):536-542.
ZHI Di-yuan,CHEN Qian-qian,KONG Hai-fang,et al.Analysis of risk factors of carbapenem-resistant Enterobacterales infection and death in clinical patients[J].Journal of Tianjin Medical University,2023,29(05):536-542.
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临床患者碳青霉烯类耐药肠杆菌目细菌感染及死亡危险因素分析(PDF)
《天津医科大学学报》[ISSN:1006-8147/CN:12-1259/R]
- 卷:
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29卷
- 期数:
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2023年05期
- 页码:
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536-542
- 栏目:
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临床医学
- 出版日期:
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2023-09-20
文章信息/Info
- Title:
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Analysis of risk factors of carbapenem-resistant Enterobacterales infection and death in clinical patients
- 文章编号:
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1006-8147(2023)05-0536-07
- 作者:
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只棣媛; 陈倩倩; 孔海芳; 李静; 田彬; 胡志东
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(天津医科大学总医院医学检验科,天津 300052)
- Author(s):
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ZHI Di-yuan; CHEN Qian-qian; KONG Hai-fang; LI Jing; TIAN Bin; HU Zhi-dong
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(Department of Medical Laboratory,General Hospital,Tianjin Medical University,Tianjin 300052,China)
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- 关键词:
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碳青霉烯类耐药肠杆菌目; 住院患者; 分布特征; 危险因素
- Keywords:
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carbapenem-resistant Enterobacterales; inpatients; distribution characteristics; risk factors
- 分类号:
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R446
- DOI:
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- 文献标志码:
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A
- 摘要:
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目的:探究临床患者碳青霉烯类耐药肠杆菌目(CRE)细菌感染及感染患者死亡相关危险因素,并对CRE感染进行预测分析。方法:回顾性分析2021年4月—11月112例CRE感染患者的临床资料,以同期112例碳青霉烯类敏感肠杆菌目细菌(CSE)感染患者作为对照组,分析CRE菌株分布特征及耐药性,单因素分析住院患者CRE感染的危险因素及感染CRE患者死亡的危险因素。通过二元Logistic回归分析方法,分析患者CRE感染的独立危险因素及感染CRE患者死亡的独立危险因素。并将独立危险因素中的连续变量进行受试者工作特征(ROC)曲线分析,以评估该因素预测住院患者感染CRE的效能。结果:CRE感染多见于重症监护病房(ICU),以呼吸道标本为主,肺炎克雷伯菌最常见。单因素分析显示,泌尿系统疾病(χ2=4.074,P<0.05)、实体恶性肿瘤(χ2=11.687,P<0.05)、气管插管机械辅助通气(χ2=32.749,P<0.05)、气管切开(χ2=30.701,P<0.05)、留置静脉导管(χ2=14.613,P<0.05)、留置动脉导管(χ2=6.298,P<0.05)、尿管(χ2=4.464,P<0.05)、胃管(χ2=15.076,P<0.05)、碳青霉烯类药物暴露史(χ2=39.703,P<0.05)、β内酰胺酶抑制剂暴露史(χ2=58.810,P<0.05)、非碳青霉烯类药物联合用药(χ2=39.938,P<0.05)、三四代头孢暴露史(χ2=5.098,P<0.05)、入院时急性生理学及慢性健康状况评分系统Ⅱ(APACHEⅡ)评分(U=4 367.000,P<0.05)、APACHEⅡ评分≥11分(χ2=4.210,P<0.05)、中性粒细胞百分数(t=12.648,P<0.05)、淋巴细胞百分数(U=4 205.000,P<0.05)、粒淋比(U=3 241.000,P<0.05)、凝血酶原时间(t=7.802,P<0.05)、活化部分凝血活酶时间(U=3 662.000,P<0.05)、D-二聚体(U=2 616.000,P<0.05)等与住院患者感染CRE相关。年龄(U=625.500,P<0.05)、年龄≥78岁(χ2=17.824,P<0.05)、心脑血管疾病(χ2=9.737,P<0.05) 、留置静脉导管(χ2=5.379,P<0.05)、尿素(U=606.000,P<0.05)、肌酐(U=788.000,P<0.05)、尿酸(U=714.500,P<0.05)等因素与CRE感染患者死亡相关。多因素分析显示,泌尿系统疾病(OR=14.222,95%CI:1.474~137.270)、留置静脉导管(OR=8.735,95%CI:1.620~47.083)、碳青霉烯类药物暴露史(OR=11.520,95%CI:2.781~47.716)、β内酰胺酶抑制剂暴露史(OR=5.763,95%CI:1.368~24.280)、非碳青霉烯类药物联合用药(OR=8.705,95%CI:2.114~35.841)、中性粒细胞百分数(OR=1.083,95%CI:1.026~1.142)、凝血酶原时间(OR=1.714,95%CI:1.109~2.648)为住院患者感染CRE的独立危险因素。年龄≥78岁(OR=26.831,95%CI:2.745~262.287)和患有心脑血管疾病(OR=28.427,95%CI:2.379~339.668)为CRE感染患者死亡的独立危险因素。将感染CRE的独立危险因素中的连续变量中性粒细胞百分数、凝血酶原时间进行ROC曲线分析,中性粒细胞百分数的曲线下面积(AUC)为0.645,高于凝血酶原时间的AUC(0.598),最佳截断值为69.45,对应敏感性和特异性分别为75.5%和52.2%。结论:住院患者感染CRE的独立危险因素有:患有泌尿系统疾病、留置静脉导管、碳青霉烯类药物暴露史、β内酰胺酶抑制剂暴露史、非碳青霉烯类药物联合用药、中性粒细胞百分数和凝血酶原时间。CRE感染患者死亡的独立危险因素有:年龄≥78岁及患有心脑血管疾病。中性粒细胞百分数对住院患者感染CRE有一定的预测价值。
- Abstract:
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Objective: To explore the risk factors of carbapenem-resistant Enterobacterales (CRE) infection in clinical patients and death of infected patients,and to analyze the predictive value of CRE infection. Methods:A retrospective method was used to select the clinical data of 112 cases with CRE from April to November 2021. And 112 cases with carbapenem-sensitive Enterobacterales(CSE) infection in the same period were taken as the control group. The distribution and drug resistance of CRE strains was analyzed. And the risk factors of CRE infection and death of infected patients were analyzed by univariate analysis. The independent risk factors of CRE infection and death of infected patients were analyzed by binary Logistic regression analysis. The continuous variables among independent risk factors were analyzed using the receiver operating characteristic(ROC) curve to evaluate the effectiveness of this factor in predicting CRE infection in hospitalized patients. Results:CRE infection was common in intensive care unit(ICU),mainly in respiratory tract specimens,and Klebsiella pneumoniae was the most common pathogen. A univariate analysis showed that,urinary system diseases(χ2=4.074,P<0.05),solid malignancy(χ2=11.687,P<0.05),endotracheal intubation and mechanical ventilation(χ2=32.749,P<0.05),tracheotomy(χ2=30.701,P<0.05),indwelling venous catheter(χ2=14.613,P<0.05),indwelling arterial catheter(χ2=6.298,P<0.05),urinary catheter(χ2=4.464,P<0.05),gastric tube(χ2=15.076,P<0.05),exposure history of Carbapenem(χ2=39.703,P<0.05),exposure history of β-lactamase inhibitors (χ2=58.810,P<0.05),non carbapenem combination therapy(χ2=39.938,P<0.05),exposure history of third and fourth generation cephalosporins(χ2=5.098,P<0.05),Acute Physiology and Chronic Health evaluation Scoring System Ⅱ(APACHE Ⅱ) at admission(U=4 367.000,P<0.05),APACHE Ⅱ≥11(χ2=4.210,P<0.05),neutrophil percentage(t=12.648,P<0.05),lymphocyte percentage(U=4 205.000,P<0.05),granulocyte to lymphocyte ratio(U=3 241.000,P<0.05),prothrombintime(t=7.802,P<0.05),activated partial thromboplastin time(U=3 662.000,P<0.05),D-dimer(U=2 616.000,P<0.05) were related to CRE infection in hospitalized patients. Age(U=625.500,P<0.05),age≥78 (χ2=17.824,P<0.05),cardiovascular and cerebrovascular diseases(χ2=9.737,P<0.05),indwelling venous catheter(χ2=5.379,P<0.05),urea(U=606.000,P<0.05),creatinine(U=788.000,P<0.05),uricacid(U=714.500,P<0.05) were related to the death of CRE-infected patients. Multivariate analysis showed that urinary system diseases(OR=14.222,95%CI:1.474-137.270),indwelling venous catheter(OR=8.735,95%CI:1.620-47.083),exposure history of carbapenem(OR=11.520,95%CI:2.781-47.716),exposure history of β-lactamase inhibitors(OR=5.763,95%CI:1.368-24.280),non carbapenem combination therapy(OR=8.705,95%CI:2.114-35.841),neutrophil percentage(OR=1.083,95%CI:1.026-1.142),prothrombin time(OR=1.714,95%CI:1.109-2.648) were independent risk factors for CRE infection in hospitalized patients. Age ≥78(OR=26.831,95%CI:2.745-262.287) and cardiovascular and cerebrovascular diseases(OR=28.427,95%CI:2.379-339.668) were independent risk factors for death in CRE-infected patients. The ROC curve analysis of the continuous variable neutrophil percentage and prothrombin time among the independent risk factors of CRE infection showed that the area under the curve(AUC) of neutrophil percentage was 0.645,higher than the AUC of prothrombin time(0.598). The optimal cut-off value was 69.45,and the corresponding sensitivity and specificity were 75.5% and 52.2%,respectively.Conclusion:Independent risk factors of CRE infection in hospitalized patients include urinary system disease,indwelling venous catheter,carbapenem drug exposure history,exposure history of β-lactamase inhibitors,noncarbapenem combination therapy,neutrophil percentage and prothrombin time. The independent risk factors for death of infected patients with CRE are age≥78 and suffering from cardiovascular and cerebrovascular diseases. Neutrophil percentage has a certain predictive value for the infection of CRE in hospitalized patients.
参考文献/References:
[1] 喻华,徐雪松,李敏,等. 肠杆菌目细菌碳青霉烯酶的实验室检测和临床报告规范专家共识(第二版)[J].中国感染与化疗杂志,2022,22(4):463-474.
[2] 胡付品,郭燕,朱德妹,等. 2021年CHINET中国细菌耐药监测[J].中国感染与化疗杂志,2022,22(5):521-530.
[3] 陈慧君,朱齐兵,叶丽君,等.耐碳青霉烯类肠杆菌科细菌的分布及耐药性分析[J].中国医药,2020,15(6):953-956.
[4] LUTGRING J D. Carbapenem-resistant enterobacteriaceae:an emerging bacterial threat[J]. Semin Diagn Pathol,2019,36(3):182-186.
[5] 于佳,张静,李莉珊,等. ICU患者耐碳青霉烯类肠杆菌科细菌感染特征及危险因素[J].中华医院感染学杂志,2022(21):3215-3219.
[6] CLINICAL AND LABORATORY STANDARDS INSTITUTE.Performance standards for antimicrobial susceptibility testing[S].M100-S31.Wayne,PA:CLSI,2021:40.
[7] 罗锋,胡龙华,蒋满香,等.某医院ICU患者耐碳青霉烯类肠杆菌科细菌感染的危险因素[J].中华医院感染学杂志,2022,32(12):1780-1783.
[8] 杨慧,郑国军,陈敏,等. 某院2016—2021年耐碳青霉烯类肠杆菌目细菌感染危险因素分析[J].中国卫生标准管理,2022,13(12):156-162.
[9] 闫力煜,黎毅敏. 重症监护病房中耐碳青霉烯类肠杆菌科细菌感染相关危险因素的研究[J]. 中国现代医学杂志,2022,32(7):89-94.
[10] VANLOON K,VOORIN' THOLT A F,VOSM C. A systematic review and meta-analyses of the clinical epidemiology of carbapenem-resistant enterobacteriaceae[J]. Antimicrob Agents Chemother,2017,62(1):e01730-17.
[11] PREDIC M,DELANO J P,TREMBLAY E,et al. Evaluation of patient risk factors for infection with carbapenem-resistant enterobacteriaceae[J]. Am J Infect Control,2020,48(9):1028-1031.
[12] 曹洋,刘坤,杨雪松,等. 某三级综合医院住院患者耐碳青霉烯肠杆菌科细菌分布特征[J].中国消毒学杂志,2019,36(6):414-418,421.
[13] 李进,黎敏,刘雯瑜,等. 耐碳青霉烯类肠杆菌科细菌的耐药特征及基因分型[J]. 中华医院感染学杂志,2018,28(24):3681-3684.
[14] 程巧巧,徐元宏,汪波. 合肥某院耐碳青霉烯类肺炎克雷伯菌耐药基因及毒力因子分析[J]. 中华医院感染学杂志,2019,29(22):3373-3377,3382.
[15] 车辉娟,康梅.医院获得性耐碳青霉烯类肠杆菌科下呼吸道感染临床特征及危险因素分析[J].四川医学,2019,40(11):1114-1118.
[16] 李晨,苏海滨,刘晓燕,等. 肝硬化合并医院耐碳青霉烯类肠杆菌科细菌血流感染患者临床特点及预后的研究[J]. 中国抗生素杂志,2018,43(12):1560-1564.
[17] 张昭勇,高波,李显东,等. VAP患者CRE医院感染分子流行病学特征及影响因素[J]. 山东医药,2019,59(25):31-35.
[18] MARIAPPAN S,SEKAR U,KAMALANATHAN A. Carbapenemase-producing enterobacteriaceae:risk factors for infection and impact of resistance on outcomes[J].Int J Appl Basic Med Res,2017,7(1):32-39.
[19] ULGERTOPRAK N,AKGUL O,BILGIN H,et al. Frequency and associated factors for carbapenem-non-susceptiblebacteroides fragilis group bacteria colonization in hospitalized patients:case control study in a university hospital in Turkey[J]. Indian J Med Microbiol,2021,39(4):518-522.
[20] 李鹏,李轶,张付华,等. 耐碳青霉烯类肠杆菌医院感染风险分析[J].中华医院感染学杂志,2015,25( 11) :2417-2419.
[21] 王冬菊. 心脑血管疾病流行概况及主要影响因素[J]. 预防医学论坛,2016,22(1):71-75.
[22] 《中国脑卒中防治报告2019》编写组.《中国脑卒中防治报告2019》概要[J].中国脑血管病杂志,2020, 17(5):272-281.
[23] 李宁,陈小会,周晖,等. 血液系统恶性肿瘤与实体肿瘤患者碳青霉烯耐药肠杆菌科细菌定植分布特点及主动筛查评价[J]. 浙江医学,2022,44(7):729-732.
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备注/Memo
- 备注/Memo:
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作者简介 只棣媛(1984-),女,副主任技师,硕士在读,研究方向:临床检验诊断;通信作者:胡志东,E-mail:huzhidong27@163.com。
更新日期/Last Update:
2023-09-25