Olaru, ID. 2021. ARGUS study - clinical and bacteriological outcomes dataset. [Online]. Dryad. Available from: https://doi.org/10.5061/dryad.v41ns1rwb
Olaru, ID. ARGUS study - clinical and bacteriological outcomes dataset [Internet]. Dryad; 2021. Available from: https://doi.org/10.5061/dryad.v41ns1rwb
Olaru, ID (2021). ARGUS study - clinical and bacteriological outcomes dataset. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.v41ns1rwb
Description
Background: Treatment for urinary tract infections (UTIs) is usually empiric and is based on local antimicrobial resistance data. These data, however, are scarce in low-resource settings. The aim of this study is to determine the impact of antibiotic treatment on clinical and bacteriological outcomes in patients presenting with UTI symptoms to primary care in Harare.
Methods: This cohort study enrolled participants presenting with UTI symptoms to 10 primary healthcare clinics in Harare between July 2019 and July 2020. A questionnaire was administered and a urine sample was collected for culture. If the urine culture showed growth of ≥105 colony forming units/mL of a uropathogen, a follow up visit at 7-21 days was conducted.
Results: The analysis included 168 participants with a median age of 33.6 years (IQR 25.1-51.4) and of whom 131/168 (78.0%) were female. Effective treatment was taken by 54/168 (32.1%) participants. The urine culture was negative at follow up in 41/54 (75.9%) of participants who took appropriate treatment and in 33/114 (28.9%, p<0.001) of those who did not. Symptoms had improved or resolved in 52/54 (96.3%) of those on appropriate treatment and in 71/114 (62.3%, p<0.001) of those without.
Conclusion: The findings of this study show that effective treatment leads to symptom resolution and bacterial clearance in people presenting with UTIs to primary care. Although UTIs are not life-threatening and can resolve without treatment, they do impact on quality of life, highlighting the need for optimised treatment recommendations.
Methods
Data was collected from participant interviews using electronic CRFs. Laboratory results were recorded using specifically designed CRFs.
Data was fully deidentified prior to upload.
Keywords
Data capture method | Questionnaire, Measurements and tests |
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Date (Date published in a 3rd party system) | 19 May 2021 |
Language(s) of written materials | English |
Data Creators | Olaru, ID |
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LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Clinical Research |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Funders |
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Date Deposited | 10 Jun 2021 09:44 |
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Last Modified | 25 Oct 2022 11:07 |
Publisher | Dryad |