基于重症患者PICC导管堵塞影响因素建立临床预警工具

李钦领; 王杨; 代会; 葛丽

doi:10.16766/j.cnki.issn.1674-4152.002667

基于重症患者PICC导管堵塞影响因素建立临床预警工具

doi: 10.16766/j.cnki.issn.1674-4152.002667

上海交通大学医学院附属新华医院急诊医学科, 上海 200092

基金项目:

国家自然科学基金项目 82102307

上海交通大学医工交叉项目 YG2021QN43

详细信息

通讯作者:
葛丽, E-mail: geli7650@xinhuamed.com.cn

中图分类号: R605.97
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- 文章访问数: 237
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- 被引次数: 0
出版历程
- 收稿日期: 2022-02-20
- 网络出版日期: 2022-11-30

Establishment of clinical warning tool based on the influencing factors of PICC catheter occlusion in critically ill patients

Department of Emergency Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China

摘要

摘要: 目的分析重症患者经外周置入中心静脉导管(PICC)并发导管堵塞的危险因素，建立客观的临床预警工具。方法回顾性分析2011年4月—2021年4月上海交通大学医学院附属新华医院收治的458例重症患者的临床资料。采用SPSS 23.0统计学软件进行数据分析，其中计量资料组间比较采用成组t检验，计数资料组间比较采用χ²检验。采用二元logistic回归分析筛选PICC导管堵塞的独立危险因素，并采用R软件建立关于导管堵塞的临床预警工具。结果研究共纳入458例重症患者，其中导管堵塞组患者57例(12.4%)，非导管堵塞组患者401例(87.6%)。多因素二元logistic回归分析结果显示, 体重指数(OR=1.084, 95% CI：1.043~1.126)、PICC管留置时长(OR=1.045，95% CI：1.018~1.073)、PICC管静脉高营养(OR=3.025, 95% CI：1.305~7.014)及PICC管输血(OR=2.773, 95% CI：1.151~6.683)是导管堵塞的独立预测因子。Bootstrap法和校准曲线分析的结果显示，基于上述独立危险因素建立的导管堵塞临床预警工具的预测能力较强且稳定。结论重症患者PICC导管堵塞风险不容忽视，基于模型进行堵管风险的预判并为避免人为叠加堵管危险因素提供参考。
- 重症患者 /
- 外周置入中心静脉导管 /
- 导管堵塞 /
- 危险因素 /
- 临床预警工具
Abstract: Objective To explore the risk factors of peripherally inserted central catheter (PICC) complicated with occlusion in critically ill patients and establish a clinical warning tool. Methods Clinical data of 458 critically ill patients admitted to Xinhua Hospital from April 2011 to April 2021 were retrospectively analyzed. The software SPSS 23.0 was used to perform data analysis. The two-sample t test was applied to perform measurement data comparison and the chi-square test was used to perform count data. Binary logistic regression was applied to screen independent risk factors, and R software was used to establish a nomogram warning tool about occlusion. Results A total of 458 critically ill patients were included, of which 57 patients (12.4%) in the occlusion groups and 401 patients in the non-occlusion groups. The multivariate binary logistic regression analysis showed that the body mass index (OR=1.084, 95% CI: 1.043-1.126), PICC retention time (OR=1.045, 95% CI: 1.018-1.073), PICC intravenous nutrition (OR=3.025, 95% CI: 1.305-7.014) and PICC blood transfusion (OR=2.773, 95% CI: 1.151-6.683) were independent predictor for occlusion. In addition, the Bootstrap method and calibration curve analysis indicated that the predictive ability of the clinical warning tool for catheter occlusion based on the above independent risk factors was strong and stable. Conclusion The risk of PICC occlusion in critically ill patients cannot be ignored. Based on the tool, it could predict the risk of catheter occlusion and provide guidance for avoiding artificial superposition of risk factors.
- Critically ill patients /
- Peripherally inserted central catheter /
- Occlusion /
- Risk factors /
- Clinical warning tool

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图 1 导管堵塞风险的临床预警工具及其预测效能验证的校准图

注：A中0表示“否”, 1表示“是”。A为导管堵塞风险的临床预警工具；B为临床预警工具预测效能验证的校准图。

Figure 1. A clinical early warning tool for catheter occlusion risk and its calibration plot for the validation of its predictive ability

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表 1 2组PICC置管重症患者临床资料对比

Table 1. Comparison of clinical data of severe patients with PICC catheterization between two groups

项目	导管堵塞组(57例)	非导管堵塞组(401例)	统计量	P值
年龄(x±s，岁)	64.5±16.2	62.4±15.7	0.919^a	0.361
性别[例(%)]
男性	30(52.6)	243(60.6)	1.316^b	0.451
女性	27(47.4)	158(39.4)
BMI(x±s)	27.5±7.5	24.3±7.8	2.912^a	0.004
个人史[例(%)]
抽烟	12(21.1)	53(13.0)	2.516^b	0.066
饮酒	11(19.3)	68(17.0)	0.192^b	0.118
共病[例(%)]
高血压	28(49.1)	182(45.4)	0.281^b	0.986
糖尿病	14(24.6)	68(17.0)	1.963^b	0.171
心脏病	15(26.3)	95(23.7)	1.193^b	0.352
恶性肿瘤	9(15.8)	38(9.5)	5.244^b	0.009
肝功能不全	6(10.5)	41(10.2)	6.168^b	0.004
肾功能不全	20(35.1)	157(39.2)	0.352^b	0.831
凝血功能异常	11(19.3)	46(11.5)	3.143^b	0.034
PICC管置入部位[例(%)]
贵要静脉	37(64.9)	261(65.1)	0.187^b	0.761
肱静脉	11(19.3)	85(21.2)	0.112^b	0.184
头静脉	9(15.8)	55(11.2)	3.677^b	0.033
PICC管移位[例(%)]	9(15.8)	36(9.0)	8.212^b	0.002
PICC管留置时长(x±s, d)	85.4±22.7	71.6±13.1	4.486^a	<0.001
PICC管静脉高营养[例(%)]	10(17.5)	32(31.7)	5.344^b	0.008
PICC管输血[例(%)]	8(14.0)	27(6.7)	8.557^b	< 0.001
红细胞(x±s, ×10¹²/L)	5.3±0.8	5.1±1.2	1.642^a	1.013
白细胞(x±s, ×10⁹/L)	6.2±1.6	5.8±2.4	1.644^a	1.104
血红蛋白(x±s, g/L)	141.4±45.2	139.6±48.7	0.261^a	0.776
注：^a为t值，^b为χ²值。

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表 2 影响导管堵塞发生的独立危险因素分析

Table 2. Analysis of independent risk factors for the occurrence of catheter occlusion

变量	B	SE	Wald χ²	P值	OR值	95% CI
BMI	0.081	0.020	17.095	< 0.001	1.084	1.043~1.126
恶性肿瘤	0.630	0.435	2.098	0.148	1.877	0.801~4.399
肝功能不全	-0.042	0.495	0.007	0.933	0.959	0.364~2.529
凝血功能异常	0.424	0.410	1.071	0.301	1.528	0.685~3.410
头静脉置管	0.065	0.431	0.023	0.880	1.067	0.459~2.482
PICC管移位	0.726	0.437	2.756	0.097	2.067	0.877~4.869
PICC管留置时长	0.044	0.013	11.021	0.001	1.045	1.018~1.073
PICC管静脉高营养	1.107	0.429	6.656	0.010	3.025	1.305~7.014
PICC管输血	1.020	0.449	5.164	0.023	2.773	1.151~6.683

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