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Diagnosis of acute cystitis in primary care: symptom-based versus urinalysis-based diagnosis
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 symptom...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706387/ https://www.ncbi.nlm.nih.gov/pubmed/36384980 http://dx.doi.org/10.1017/S1463423622000627 |
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author | Lelie- van der Zande, Rian Koster, Ellen S. Grol, Marion Naber, Kurt G. Alidjanov, Jakhongir F. Teichert, Martina Bouvy, Marcel L. |
author_facet | Lelie- van der Zande, Rian Koster, Ellen S. Grol, Marion Naber, Kurt G. Alidjanov, Jakhongir F. Teichert, Martina Bouvy, Marcel L. |
author_sort | Lelie- van der Zande, Rian |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9706387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97063872022-12-02 Diagnosis of acute cystitis in primary care: symptom-based versus urinalysis-based diagnosis Lelie- van der Zande, Rian Koster, Ellen S. Grol, Marion Naber, Kurt G. Alidjanov, Jakhongir F. Teichert, Martina Bouvy, Marcel L. Prim Health Care Res Dev Research Article 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. Cambridge University Press 2022-11-17 /pmc/articles/PMC9706387/ /pubmed/36384980 http://dx.doi.org/10.1017/S1463423622000627 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Research Article Lelie- van der Zande, Rian Koster, Ellen S. Grol, Marion Naber, Kurt G. Alidjanov, Jakhongir F. Teichert, Martina Bouvy, Marcel L. Diagnosis of acute cystitis in primary care: symptom-based versus urinalysis-based diagnosis |
title | Diagnosis of acute cystitis in primary care: symptom-based versus urinalysis-based diagnosis |
title_full | Diagnosis of acute cystitis in primary care: symptom-based versus urinalysis-based diagnosis |
title_fullStr | Diagnosis of acute cystitis in primary care: symptom-based versus urinalysis-based diagnosis |
title_full_unstemmed | Diagnosis of acute cystitis in primary care: symptom-based versus urinalysis-based diagnosis |
title_short | Diagnosis of acute cystitis in primary care: symptom-based versus urinalysis-based diagnosis |
title_sort | diagnosis of acute cystitis in primary care: symptom-based versus urinalysis-based diagnosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706387/ https://www.ncbi.nlm.nih.gov/pubmed/36384980 http://dx.doi.org/10.1017/S1463423622000627 |
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