Di Vico Tommaso, Morganti Riccardo, Cai Tommaso, Naber Kurt G, Wagenlehner Florian M E, Pilatz Adrian, Alidjanov Jakhongir, Morelli Girolamo, Bartoletti Riccardo
Dept. of Translational Research and New Technologies, University of Pisa, 56126 Pisa, Italy.
SOD Clinical trial statistical support, AOUP, 56126 Pisa, Italy.
Antibiotics (Basel). 2020 Mar 2;9(3):104. doi: 10.3390/antibiotics9030104.
Acute Cystitis Symptom Score (ACSS) is an 18-item self-reporting questionnaire for clinical diagnosis and follow-up of acute uncomplicated cystitis (AUC) in women. The ACSS, originally developed in Uzbek and Russian languages, is now available in several languages. The purpose of the study was to validate the ACSS questionnaire in the Italian language. Linguistic validation was carried out according to Linguistic Validation Manual for Patient-Reported Outcomes Instruments guidelines. Clinical validation was carried out by enrolling one hundred Italian-speaking women. All women were asked to fill in the ACSS questionnaire during their medical visit. Fifty-four women, median age 36 (Inter Quartile Range 28-49), were diagnosed with AUC, while 46 women, median age 38 (IQR 29-45), were enrolled as the control group attending the hospital's fertility center for couples. The most frequently isolated pathogen in AUC was (40; 74.0%) followed by (7; 13.0%) and (3; 5.6%). Receiver operating characteristic (ROC) curve analysis performed at the first diagnostic visit on a typical symptoms domain cut-off score of 6 revealed a sensitivity of 92.5% and specificity of 97.8%. The Italian version of the ACSS has proved to be a reliable tool with a high accuracy in diagnosis and follow-up in women with AUC. The ACSS may also be useful for clinical and epidemiological studies.
急性膀胱炎症状评分(ACSS)是一份包含18个条目的自我报告问卷,用于女性急性单纯性膀胱炎(AUC)的临床诊断和随访。ACSS最初以乌兹别克语和俄语开发,现在有多种语言版本。本研究的目的是验证意大利语版的ACSS问卷。根据患者报告结局工具语言验证手册指南进行语言验证。通过招募100名讲意大利语的女性进行临床验证。所有女性在就诊时都被要求填写ACSS问卷。54名女性,中位年龄36岁(四分位间距28 - 49岁),被诊断为AUC,而46名女性,中位年龄38岁(四分位间距29 - 45岁),作为对照组纳入医院的夫妻生育中心。AUC中最常分离出的病原体是(40例;74.0%),其次是(7例;13.0%)和(3例;5.6%)。在首次诊断就诊时,对典型症状领域截断分数为6进行的受试者工作特征(ROC)曲线分析显示,敏感性为92.5%,特异性为97.8%。意大利语版的ACSS已被证明是一种可靠的工具,在AUC女性的诊断和随访中具有很高的准确性。ACSS也可能对临床和流行病学研究有用。