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新生儿重症监护病房尿路感染的临床预测因素

Clinical Predictors of Urinary Tract Infection in the Neonatal Intensive Care Unit.

作者信息

Foglia E E, Lorch S A

出版信息

J Neonatal Perinatal Med. 2012 Oct 1;5(4):327-333. doi: 10.3233/NPM-1262812.

Abstract

OBJECTIVE

To identify clinical predictors associated with urinary tract infections (UTI) in patients in a referral neonatal intensive care unit (NICU).

STUDY DESIGN

We performed a nested case control study of all NICU patients with urine cultures obtained as part of late-onset sepsis evaluations from January 1, 2007 through December 31, 2007 (N=266). Clinical factors and laboratory results were compared between subjects with positive urine cultures (cases, N= 27) and randomly selected subjects with negative cultures (controls, N= 54).

RESULTS

Cases were significantly older than controls at the time of urine culture (75 days vs. 29 days, p=0.003). Maximal peripheral white blood cell (WBC) count and C-reactive protein (CRP) did not differ between cases and controls. Only 24% of cases had a simultaneously positive blood culture. In multivariable analysis, only increased chronological age was statistically associated with a positive culture (OR 3.02, 95% CI 1.09, 8.39).

CONCLUSION

Limited clinical factors exist to identify NICU patients at increased risk for UTI. Peripheral WBC count and CRP do not help discriminate between patients with and without UTI. Clinicians should evaluate chronologically older NICU patients for infection like other young infants, including a urine culture, to adequately identify potential sources of infection.

摘要

目的

确定转诊新生儿重症监护病房(NICU)患者中与尿路感染(UTI)相关的临床预测因素。

研究设计

我们对2007年1月1日至2007年12月31日期间作为晚发性败血症评估一部分进行尿培养的所有NICU患者进行了一项巢式病例对照研究(N = 266)。比较了尿培养阳性的受试者(病例组,N = 27)和随机选择的尿培养阴性的受试者(对照组,N = 54)之间的临床因素和实验室结果。

结果

尿培养时病例组的年龄显著大于对照组(75天对29天,p = 0.003)。病例组和对照组的外周血白细胞(WBC)计数最大值和C反应蛋白(CRP)无差异。只有24%的病例血培养同时呈阳性。在多变量分析中,只有年龄增长在统计学上与培养阳性相关(比值比3.02,95%可信区间1.09,8.39)。

结论

识别UTI风险增加的NICU患者的临床因素有限。外周血WBC计数和CRP无助于区分有无UTI的患者。临床医生应像评估其他幼儿一样,按时间顺序对年龄较大的NICU患者进行感染评估,包括进行尿培养,以充分识别潜在的感染源。

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