Diagnosis of acute cystitis in primary care: symptom-based versus urinalysis-based diagnosis

Zande, R.L. van der; Koster, E.S.; Grol, M.; Naber, K.G.; Alidjanov, J.F.; Teichert, M.; Bouvy, M.L. (2022)

Article / Letter to editor

Aim:This study aimed to provide insight into the congruity of acute cystitis (AC) diagnosis in women, measured both by the Acute Cystitis Symptom Score (ACSS) questionnaire and urine test(s). Background:The ACSS questionnaire was developed as a self-administering tool for assessing urinary symptoms, quality of life (QoL) and treatment outcomes in healthy, nonpregnant female patients. Methods:This prospective observational cohort study compared AC diagnosis based on the questionnaire with a GP diagnosis based on dipstick/dipslide test(s). ACSS questionnaire form A (typical and differential symptoms, QoL and relevant conditions) was filled in by the patient group, women suspected for AC visiting a GP practice with a urine sample, and the reference group, women visiting a community pharmacy for any medication. Analyses were performed assuming that the GP diagnosis based on urine test(s) was correct. Divergent result(s) of urine test(s) and ACSS questionnaire were analysed for scores of all individual questionnaire domains. Statistical analyses included descriptive statistics and the positive predictive value (PPV) and the negative predictive value (NPV) of the ACSS questionnaire and the urine test(s). Findings:In the patient group, 59 women were included, 38 of whom a GP positively diagnosed for AC. The reference group included 70 women. The PPV of the ACSS questionnaire was 77.3%, and the NPV was 73.3%. Analysis of patient data for divergent results showed that differential symptoms, QoL and relevant conditions explained false-positive and false-negative results. Revised results (most probable diagnosis) based on this analysis showed a PPV and NPV of 88.6% and 73.3% for the ACSS questionnaire and 100% and 76.2% for the urine test(s). For use in primary care, a reduction in false-positive and false-negative results can be achieved by including scores for differential symptoms, QoL and relevant conditions, alongside a total typical symptoms score of 6 or higher.

• diagnosis
• GP
• primary care
• questionnaire
• urinary tract infection
• urinalysis

• All authors: Zande, R.L. van der; Koster, E.S.; Grol, M.; Naber, K.G.; Alidjanov, J.F.; Teichert, M.; Bouvy, M.L.
• Date: 2022-11-17
• Journal: Primary Health Care Research & Development
• Volume: 23
• DOI: doi:10.1017/S1463423622000627