评估在肯尼亚医院接受治疗的患者中检测尿路感染的尿试纸试验的诊断性能。

Access Microbiology Pub Date : 2023-06-14 eCollection Date: 2023-01-01 DOI:10.1099/acmi.0.000483.v3
John Maina, John Mwaniki, Franklin Mwiti, Susan Kiiru, Japhet Katana, Fredrick Wanja, Joel Mukaya, Osborn Khasabuli, Benon Asiimwe, Stephen Gillespie, John Stelling, Stephen Mshana, Matthew Holden, Wilber Sabiiti, John Kiiru
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引用次数: 0

摘要

导读:培养是诊断尿路感染(uti)的金标准。然而,在资源匮乏的国家,大多数医院缺乏设备充足的实验室和相关专业知识来进行培养,因此严重依赖试纸来诊断尿路感染。研究差距:在许多肯尼亚医院,很少进行常规评估,以评估流行筛查试验(如试纸试验)的准确性。因此,由于代理筛选试验不准确,存在很大的误诊风险。这可能导致抗菌素的误用、使用不足或过度使用。目的:本研究旨在评估尿试纸测试的准确性,作为肯尼亚选定医院诊断尿路感染的代理。方法:采用以医院为基础的横断面法。使用中游尿液对照培养作为金标准,评估试纸在诊断尿路感染中的效用。结果:尿路感染检出率1416例,培养检出率1027例,检出率54.1%。白细胞与亚硝酸盐试验合用时的敏感性(63.1%)优于单独使用时的敏感性(62.6%和50.7%)。同样,两种检测联合使用比单独使用任何一种检测具有更好的阳性预测值(87.0%)。亚硝酸盐试验的特异性(89.8%)和阴性预测值(97.4%)优于白细胞酯酶(L.E)或两者联合检测。此外,住院患者样本的敏感性(69.2%)高于门诊患者(62.7%)。此外,试纸试验在女性患者中的敏感性和阳性预测值(66.6%和88.6%)均优于男性患者(44.3%和73.9%)。在不同年龄组中,≥75岁的患者中,试纸试验的敏感性和阳性预测值异常高(87.5%和93.3%)。结论:尿试纸试验与培养(金标准)的患病率差异表明试纸试验不能准确诊断尿路感染。这一发现也证明了尿培养对尿路感染准确诊断的必要性。然而,考虑到进行培养并不总是可能的,特别是在资源匮乏的环境中,未来的研究需要结合特定的尿路感染症状和试纸结果来评估测试敏感性的可能增加。还需要开发易于获得和负担得起的算法,以便在没有文化的情况下检测uti。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of the diagnostic performance of the urine dipstick test for the detection of urinary tract infections in patients treated in Kenyan hospitals.

Evaluation of the diagnostic performance of the urine dipstick test for the detection of urinary tract infections in patients treated in Kenyan hospitals.

Evaluation of the diagnostic performance of the urine dipstick test for the detection of urinary tract infections in patients treated in Kenyan hospitals.

Evaluation of the diagnostic performance of the urine dipstick test for the detection of urinary tract infections in patients treated in Kenyan hospitals.

Introduction: Culture is the gold-standard diagnosis for urinary tract infections (UTIs). However, most hospitals in low-resource countries lack adequately equipped laboratories and relevant expertise to perform culture and, therefore, rely heavily on dipstick tests for UTI diagnosis.

Research gap: In many Kenyan hospitals, routine evaluations are rarely done to assess the accuracy of popular screening tests such as the dipstick test. As such, there is a substantial risk of misdiagnosis emanating from inaccuracy in proxy screening tests. This may result in misuse, under-use or over-use of antimicrobials.

Aim: The present study aimed to assess the accuracy of the urine dipstick test as a proxy for the diagnosis of UTIs in selected Kenyan hospitals.

Methods: A hospital-based cross-sectional method was used. The utility of dipstick in the diagnosis of UTIs was assessed using midstream urine against culture as the gold standard.

Results: The dipstick test predicted 1416 positive UTIs, but only 1027 were confirmed positive by culture, translating to a prevalence of 54.1 %. The sensitivity of the dipstick test was better when leucocytes and nitrite tests were combined (63.1 %) than when the two tests were separate (62.6 and 50.7 %, respectively). Similarly, the two tests combined had a better positive predictive value (87.0 %) than either test alone. The nitrite test had the best specificity (89.8 %) and negative predictive value (97.4 %) than leucocytes esterase (L.E) or both tests combined. In addition, sensitivity in samples from inpatients (69.2 %) was higher than from outpatients (62.7 %). Furthermore, the dipstick test had a better sensitivity and positive predictive value among female (66.0 and 88.6 %) than male patients (44.3 and 73.9 %). Among the various patient age groups, the dipstick test's sensitivity and positive predictive value were exceptionally high in patients ≥75 years old (87.5 and 93.3 %).

Conclusion: Discrepancies in prevalence from the urine dipstick test and culture, the gold standard, indicate dipstick test inadequacy for accurate UTI diagnosis. The finding also demonstrates the need for urine culture for accurate UTI diagnosis. However, considering it is not always possible to perform a culture, especially in low-resource settings, future studies are needed to combine specific UTI symptoms and dipstick results to assess possible increases in the test's sensitivity. There is also a need to develop readily available and affordable algorithms that can detect UTIs where culture is not available.

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