Prediction model construction and preliminary application of central nervous system infection after craniocerebral surgery

doi:10.11958/20221010

Abstract

CLC Number:

R651.1

Figures/Tables 3

References 15

[1]	张雪莲, 颜琪, 吴超. 颅脑术后中枢神经系统感染的危险因素及护理对策探讨[J]. 中国感染与化疗杂志, 2020, 20(3):288-293.
	ZHANG X L, YAN Q, WU C, et al. Examination of the risk factors and nursing strategy for central nervous system infections after neurosurgery[J]. Chin J Infect Chemother, 2020, 20(3):288-293. doi:10.16718/j.1009-7708.2020.03.010.
[2]	ADAAQUAH D, GATES M, VAN GOMPEL J J. Rate of craniotomy fusion after free bone flap[J]. World Neurosurg, 2018, 118:e283-e287. doi:10.1016/j.wneu.2018.06.172.
[3]	HWEIDI I M, BARBARAWI M A, TAWALBEH L I, et al. Surgical site infections after craniotomy:A matched health-care cost and length of stay study[J]. J Wound Care, 2018, 27(12),885-890. doi:10.12968/jowc.2018.27.12.885.
[4]	赵瑶, 乔美珍, 陈凯, 等. 预防颅脑手术患者术后颅内感染的成本效益分析[J]. 中国感染控制杂志, 2018, 17(5):427-431.
	ZHAO Y, QIAO M Z, CHEN K, et al. Cost-benefit analysis on prevention of intracranial infection in patients after craniocerebral operation[J]. Chin J Infect Control, 2018, 17(5):427-431. doi:10.3969/j.issn.1671-9638.2018.05.013.
[5]	杨柳青, 刘映霞. 中枢神经系统感染性疾病的鉴别诊断[J]. 临床内科杂志, 2017, 34(11):725-729.
	YANG L Q, LIU Y X, Differential diagnosis of infectious diseases of the central nervous system[J]. Journal of Clinical Internal Medicine, 2017, 34(11):725-729. doi:10.3969/j.issn.1001-9057.2017.11.001.
[6]	俞洁, 纪媛媛, 王军. 神经外科重症监护室病人继发中枢神经系统感染的相关危险因素[J]. 中国临床神经外科杂志, 2019, 24(4):204-206.
	YU J, JI Y Y, WANG J. Analysis of risk factors related central nervous system infection in patients in neurosurgical intensive care unit[J]. Chin J Clin Neurosurg, 2019, 24(4):204-206. doi:10.13798/j.issn.1009-153X.2019.04.005.
[7]	中华人民共和国卫生部. 医院感染诊断标准(试行)[J]. 中华医学杂志, 2001, 81(5):61-67.
	Ministry of Health of the People's Republic of China. Diagnostic criteria for nosocomial infections(Proposed)[J]. Natl Med J China, 2001, 81(5):61-67.
[8]	SHI Z H, XU M, WANG Y Z, et al. Post-craniotomy intracranial infection in patients with brain tumors:A retrospective analysis of 5723 consecutive patients[J]. Br J Neurosurg, 2017 31(1):5-9. doi:10.1080/02688697.2016.1253827.
[9]	YAO J, LIU D. Logistic regression analysis of risk factors for intracranial infection after multiple traumatic craniotomy and preventive measures[J]. J Craniofac Surg, 2019, 30(7):1946-1948. doi:10.1097/SCS.0000000000004972.
[10]	谭细兰, 向倩如, 安敏, 等. 影响神经外科手术后中枢神经系统感染发生的危险因素分析[J]. 中华神经医学杂志, 2021, 20(7):705-710.
	TAN X L, XIANG Q R, AN M, et al. Risk factors for postoperative central nervous system infection[J]. Chin J Neuromed, 2021, 20(7):705-710. doi:10.3760/cma.j.cn115354-20201009-00794.
[11]	曾彦超, 易凤琼, 钟昌艳, 等. 不同洁净度手术间对颅脑外科手术部位感染的影响[J]. 中国感染控制杂志, 2018, 17(11):965-968.
	ZENG Y C, YI F Q, ZHONG C Y, et al. Effect of operating rooms of different cleanliness on surgical site infection in craniocerebral operation[J]. Chin J Infect Control, 2018, 17(11):965-968. doi:10.3969/j.issn.1671-9638.2018.11.004.
[12]	FANG C, ZHU T, ZHANG P, et al. Risk factors of neurosurgical site infection after craniotomy:A systematic review and meta-analysis[J]. Am J Infect Control, 2017, 45(11):e123-e134. doi:10.1016/j.ajic.2017.06.009.
[13]	中华医学会神经外科学分会, 中国神经外科重症管理协作组. 中国神经外科重症患者感染诊治专家共识(2017)[J]. 中华医学杂志, 2017, 97(21):1607-1614.
	Neurosurgery Society of Chinese Medical Association, Chinese Critical Care Management Collaborative Group of Neurosurgery. Chinese Expert Consensus on the diagnosis and treatment of infection in critically ill neurosurgical patients(2017)[J]. Natl Med J China, 2017, 97(21):1607-1614. doi:10.3760/cma.j.issn.0376-2491.2017.21.005.
[14]	KOURBETI I S, VAKIS A F, ZIAKAS P, et al. Infections in patients undergoing craniotomy:risk factors associated with post-craniotomy meningitis[J]. J Neurosurg, 2015, 122(5):1113-1119. doi:10.3171/2014.8.JNS132557.
[15]	KURAL C, KIRMIZIGOZ S, EZGU M C, et al. Intracranial infections:lessons learned from 52 surgically treated cases[J]. Neurosurg Focus, 2019, 47(2):e10. doi:10.3171/2019.5.FOCUS19238.

组别				n	年龄（岁）					性别（男/女）				BMI（kg/m²）
非感染组				959	57.31±5.67					470/489				23.14±4.01
感染组				61	60.21±6.78					28/33				23.62±3.98
t或χ²					3.832^＊					0.221				0.909
组别		合并疾病										应用免疫抑制剂				进入 ICU
组别		高血压				糖尿病			高血脂			应用免疫抑制剂				进入 ICU
非感染组		567（59.1）				547（57.0）			523（54.5）			277（28.9）				727（75.8）
感染组		50（81.9）				51（83.6）			49（80.3）			26（42.6）				36（59.0）
t或χ²		0.101										5.181^＊				8.581^＊
组别			ASA分级（Ⅰ~Ⅱ/Ⅲ~Ⅳ）				接台手术				手术时间（h）				EVD使用个数（0/≥1）
非感染组			327/632				337（35.1）				2.98±0.62				427/532
感染组			16/45				49（80.3）				4.11±0.84				10/51
t或χ²			1.591				49.785^＊＊				14.373^＊＊				18.535^＊＊
组别	EVD留置时间>7 d							术后住院时间（d）					置入永久性植入物
非感染组	332（34.6）							8.56±1.12					352（36.7）
感染组	41（67.2）							12.24±1.26					31（50.8）
t或χ²	26.270^＊＊							3.679^＊					4.871^＊

组别				n	年龄（岁）					性别（男/女）				BMI（kg/m²）
非感染组				959	57.31±5.67					470/489				23.14±4.01
感染组				61	60.21±6.78					28/33				23.62±3.98
t或χ²					3.832^＊					0.221				0.909
组别		合并疾病										应用免疫抑制剂				进入 ICU
组别		高血压				糖尿病			高血脂			应用免疫抑制剂				进入 ICU
非感染组		567（59.1）				547（57.0）			523（54.5）			277（28.9）				727（75.8）
感染组		50（81.9）				51（83.6）			49（80.3）			26（42.6）				36（59.0）
t或χ²		0.101										5.181^＊				8.581^＊
组别			ASA分级（Ⅰ~Ⅱ/Ⅲ~Ⅳ）				接台手术				手术时间（h）				EVD使用个数（0/≥1）
非感染组			327/632				337（35.1）				2.98±0.62				427/532
感染组			16/45				49（80.3）				4.11±0.84				10/51
t或χ²			1.591				49.785^＊＊				14.373^＊＊				18.535^＊＊
组别	EVD留置时间>7 d							术后住院时间（d）					置入永久性植入物
非感染组	332（34.6）							8.56±1.12					352（36.7）
感染组	41（67.2）							12.24±1.26					31（50.8）
t或χ²	26.270^＊＊							3.679^＊					4.871^＊

因素	β	SE	Wald χ²	P	OR	OR95%CI
术后住院时间	1.354	0.638	4.504	0.034	3.873	1.109~13.524
EVD使用个数	1.225	0.597	4.210	0.040	3.404	1.056~10.970
EVD留置时间	1.625	0.702	5.358	0.021	5.078	1.283~20.104
手术时间	1.427	0.665	4.605	0.032	4.166	1.132~15.339
置入永久性植入物	1.221	0.576	4.494	0.034	3.391	1.096~10.485
接台手术	1.218	0.434	7.876	0.005	3.380	1.444~7.914
常数项	-3.025	0.687	25.314	<0.001	0.031

因素	β	SE	Wald χ²	P	OR	OR95%CI
术后住院时间	1.354	0.638	4.504	0.034	3.873	1.109~13.524
EVD使用个数	1.225	0.597	4.210	0.040	3.404	1.056~10.970
EVD留置时间	1.625	0.702	5.358	0.021	5.078	1.283~20.104
手术时间	1.427	0.665	4.605	0.032	4.166	1.132~15.339
置入永久性植入物	1.221	0.576	4.494	0.034	3.391	1.096~10.485
接台手术	1.218	0.434	7.876	0.005	3.380	1.444~7.914
常数项	-3.025	0.687	25.314	<0.001	0.031

Prediction model construction and preliminary application of central nervous system infection after craniocerebral surgery

Cite this article

RichHTML

PDF (PC)

Knowledge

Abstract

share this article

Figures/Tables 3

References 15

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	WANG Yuanzhen, WEI Hongyan, CHANG Lixian, ZHANG Yingyuan, LIU Chunyun, LIU Li. Establishment and validation of a risk prediction model for primary liver cancer complicated with pulmonary infection before intervention [J]. Tianjin Medical Journal, 2024, 52(9): 940-945.
[2]	LIN Feng, CHEN Lingxiong, LIU Yu, ZHANG Xuming, YIN Zhida, LIN Tanhui, LIU Zunrong. Construction of long term restenosis prediction model for patients with severe subpatellar artery lesions in type 2 diabetes treated with paclitaxel coated balloon [J]. Tianjin Medical Journal, 2024, 52(8): 830-834.
[3]	WANG Lei, MENG Kun, WANG Bing. Analysis of influencing factors of recurrent wheezing in children with bronchopneumonia and construction of prediction model [J]. Tianjin Medical Journal, 2024, 52(8): 850-853.
[4]	XUE Yuheng, MAO Ning, LIU Wenqiang, YANG Qianqian, XU Yan, WANG Jun. Construction and validation of a risk prediction model for bronchopulmonary dysplasia based on early platelet-related parameters [J]. Tianjin Medical Journal, 2024, 52(7): 748-754.
[5]	WANG Min, WANG Longsheng, CHEN Lei. Construction of a prediction model for lumbar fracture in patients with osteoporosis [J]. Tianjin Medical Journal, 2024, 52(7): 766-769.
[6]	WANG Xian, LIU Xiaming, CHEN Manyu, ZHAO Jun, WANG Lidong. Construction and verification of prediction model of type 2 diabetic nephropathy based on machine learning [J]. Tianjin Medical Journal, 2024, 52(7): 775-780.
[7]	HAN Qin, HAN Xiuli, CHEN Weiran. Analysis of factors affecting depressive disorders after rehabilitation therapy in elderly stroke patients [J]. Tianjin Medical Journal, 2024, 52(6): 639-642.
[8]	WANG Ling, LONG Dengyan. Construction of acquired weakness risk prediction model in intensive care unit [J]. Tianjin Medical Journal, 2024, 52(5): 486-489.
[9]	ZHENG Kangpeng, TANG Xinguo, XU Qi, FAN Yuting, LIANG Bo, FU Xiaowei, FANG Lu. Nomogram construction and validation for predicting the possibility successful implementation of radical surgery in gallbladder cancer patients [J]. Tianjin Medical Journal, 2024, 52(5): 536-540.
[10]	XU Yang, YUAN Yu, GAO Jinmei. Diagnostic significance of ultrasonography on free-floating thrombus shedding in deep vein of lower extremity in fracture patients [J]. Tianjin Medical Journal, 2024, 52(5): 548-551.
[11]	FENG Liting, LI Li, XIE Xin, WANG Xing. Analysis of influencing factors of chronic obstructive pulmonary disease in permanent residents in some area of Tianjin [J]. Tianjin Medical Journal, 2024, 52(4): 427-431.
[12]	JI Xiaojuan, HAN Hao, ZHANG Lixia. Pathogenic bacteria distribution, drug resistance changes and risk factors of death in patients with acute myeloid leukemia complicated with bloodstream infection [J]. Tianjin Medical Journal, 2024, 52(2): 167-171.
[13]	GU Wei, ZHANG Huina, HOU Liping, YU Min, CHENG Lirong. Correlation between lipid correlation index and diabetic kidney disease [J]. Tianjin Medical Journal, 2024, 52(12): 1308-1312.
[14]	TU Jing, XIA Chenxi, LI Ting. Correlation analysis and risk factors of subclinical peripheral neuropathy and TIR in type 2 diabetes mellitus [J]. Tianjin Medical Journal, 2024, 52(11): 1188-1192.
[15]	NIJAT Alim, MA Shifeng, XAMSIYA Alim, ZHANG Jing, ZHENG Rongxiu. Analysis of clinical characteristics and risk factors for diabetes mellitus complicated with urinary tract infection in children [J]. Tianjin Medical Journal, 2024, 52(10): 1051-1055.