Evidence map›Paper›PMID 38709302›Full record

ArticleWorld journal of urology2024

Epidemiology and risk factors for staphylococcal urinary tract infections in the Moroccan Casablanca area.

Rafik Aniba, Asmaa Dihmane, Habiba Raqraq, Amina Ressmi, Kaotar Nayme, Mohammed Timinouni, Abouddihaj Barguigua

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Article in World journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

7 authors.

Rafik AnibaTeam of Biotechnology and Sustainable Development of Natural Resources, Department of Biology, Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco. rafik.anibafpb@usms.ac.ma.ORCID http://orcid.org/0000-0003-4360-9580
Asmaa DihmaneTeam of Biotechnology and Sustainable Development of Natural Resources, Department of Biology, Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco.
Habiba RaqraqTeam of Biotechnology and Sustainable Development of Natural Resources, Department of Biology, Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco.
Amina RessmiTeam of Biotechnology and Sustainable Development of Natural Resources, Department of Biology, Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco.
Kaotar NaymeMolecular Bacteriology Laboratory, Pasteur Institute of Morocco, Casablanca, Morocco.
Mohammed TiminouniLaboratoire de Biotechnologie et bio-Informatique, Ecole des Hautes Etudes de Biotechnologie et de santé (EHEB), Casablanca, Morocco.
Abouddihaj BarguiguaTeam of Biotechnology and Sustainable Development of Natural Resources, Department of Biology, Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to ascertain the prevalence and risk factors for developing staphylococcal urinary tract infections (UTIs) in the Casablanca area of Morocco.

methodsIn Casablanca, Morocco, a retrospective evaluation of 772 UTIs patients was conducted between January 2020 and December 2022. The research included two groups of patients: those with staphylococcal UTIs and those without. Sex, age, chronic illnesses, antibiotic exposure, urinary catheterization, urological surgery, and UTIs history were the risk variables assessed. We employed a logistic regression model to identify the characteristics that were predictive of staphylococcal UTIs.

resultsEight staphylococcal species were responsible for 16.84% of UTIs in 772 non-repeating individuals. Patients infected with S. saprophyticus (35.38%) were the most common, followed by those infected with S. epidermidis (24.61%), S. aureus (13.85%), and S. hemolyticus (10.78%). Multivariate logistic regression analysis revealed that male sex (95% CI: 0.261-0.563), immunosuppression and immunosuppressive treatments (95% CI: 0.0068-0.64), chronic diseases (95% CI: 0.407-0.965), previous UTIs (95% CI: 0.031-0.228), frequency of urination more than 8 times a day (95% CI:1.04-3.29), frequency of urination once or twice a day (95% CI: 1.05-2.39), and urinary catheterization (95% CI: 0.02-0.22) were the most likely predictors of staphylococcal UTIs. In addition, a larger proportion of patients with staphylococcal UTIs were made aware of the risk factors associated with staphylococcal UTIs (52.31%, χ2 = 4.82, = 0.014).

conclusionsThis is the first global study to evaluate the predictive factors for acquiring UTIs caused by staphylococci. Monitoring these factors will enable medical authorities to devise effective strategies for managing UTIs and combating antibiotic resistance.

Indexed as

Staphylococcal InfectionsUrinary Tract InfectionsAdolescentAdultAgedFemaleHumansMaleMiddle AgedMoroccoPrevalenceRetrospective StudiesRisk FactorsYoung AdultEpidemiologyMoroccoPredictive factorsStaphylococciUrinary tract infection

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.