Length of Stay Predicts Risk of Early Infection for Hospitalized Patients Undergoing Central Venous Port Placement

医学 置信区间 倾向得分匹配 危险系数 回顾性队列研究 端口(电路理论) 比例危险模型 多元分析 外科 内科学 急诊医学 电气工程 工程类
作者
Linnan Tang,Charles Kim,J. Martín,Waleska M. Pabon‐Ramos,Alan A. Sag,Paul V. Suhocki,Tony P. Smith,James Ronald
出处
期刊:Journal of Vascular and Interventional Radiology [Elsevier BV]
卷期号:31 (3): 454-461 被引量:6
标识
DOI:10.1016/j.jvir.2019.10.017
摘要

To compare early totally implantable central venous port catheter-related infection rates after inpatient vs outpatient placement and to determine whether the risk associated with inpatient placement is influenced by length of hospital stay.In this single-institution retrospective study, 5,301 patients (3,618 women; mean age 57 y) underwent port placement by interventional radiologists between October 2004 and January 2018. The 30-day infection rate was compared between inpatients and outpatients using survival analysis. Among inpatients, the effect of time from admission to port placement and from placement to discharge was analyzed using a survival regression tree.The 30-day infection rate was 3.6% (95% confidence interval [CI] = 1.9%-6.1%) among 386 inpatients and 1.0% (95% CI = 0.7%-1.3%) among 4,915 outpatients (hazard ratio [HR] = 3.6, 95% CI = 2.0-6.6, P < .001). Inpatient placement was a significant risk factor after accounting for covariates in multivariate analysis (HR = 2.2, 95% CI = 1.0-4.7, P = .05) and controlling for demographic differences by propensity score matching (HR = 2.8, 95% CI = 1.0-7.8, P = .04). Infection rate was 11% (95% CI = 4.7%-22%) among 65 inpatients in whom time from admission to placement was ≥ 7 days, 5.1% (95% CI = 1.9%-11%) among 129 inpatients in whom admission to placement was < 7 days and time to discharge was > 3 days, and 0% (95% CI = 0%-2.1%) among 192 inpatients in whom admission to placement was < 7 days and time to discharge was ≤ 3 days (P < .001).Inpatient port placement was associated with a higher risk of early infection. However, a clinical decision tree based on shorter length of stay before and after placement may identify a subset of hospitalized patients not at increased risk for infection.

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