Supplementary Material for: Reliability of Symptom-Based Diagnosis of Uncomplicated Cystitis
datasetposted on 12.11.2018 by Alidjanov J.F., Naber K.G., Abdufattaev U.A., Pilatz A., Wagenlehner F.M.
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Background and Objectives: Acute uncomplicated cystitis (AC) is common among women. Acute onset of specific typical symptoms may serve as reliable criteria for developing a cost-effective strategy to make an accurate diagnosis of AC. We aimed to evaluate the diagnostic values of most common symptoms and signs of AC depending on their presence and severity. Methods: The current trial was designed as a case-control study. Data derived from the Acute Cystitis Symptom Score (ACSS) database were analyzed. Diagnostic values of the symptoms and their severity were assessed via the calculations of the sensitivity and specificity, odds ratio, positive and negative likelihood ratios. The strength of associations was estimated by the coefficient of correlation (Pearson’s R). Results: Data from 819 female subjects (423 Patients, 396 controls) with the mean age of 37.1 ± 15.3 were analyzed. Highest diagnostic values for AC in this study belonged to dysuria, urgency, and frequency. Interestingly, complaints of vaginal discharge was not found to decrease the odds for having AC in the study population. Conclusions: The severity of the symptom is even more essential than just its presence for an accurate diagnosis. The ACSS is an accurate tool and may be recommended for clinical practice and studies for diagnosis of AC in women. Further studies and unification of terms are need.