Background: Urinary tract infection (UTI) is considered a common cause of mental status changes, particularly in elderly patients and patients with a psychiatric condition. Genitourinary symptoms are essential to confirm UTI diagnosis but may be unobtainable in patients with a communication barrier. Sparse guidance suggests assessing specific symptoms that do not rely on patient report. The primary objective of this project was to provide assistance in diagnosis and treatment of UTIs in noncommunicative patients through the creation of an algorithm.
Algorithm Creation And Implementation: Through extensive interdisciplinary collaboration, the authors developed criteria to identify UTI symptoms that do not require communication. In order to make the algorithm comprehensive, we chose to include general information related to UTI diagnosis and treatment. The algorithm was implemented within the psychiatric emergency department as this is where patients are evaluated to determine need for psychiatric admission. Providers in the psychiatric emergency department were provided with detailed education on the algorithm as well as information about UTI diagnosis and treatment.
Discussion: Creating an algorithm within our institution required significant interdisciplinary collaboration. Providers were receptive to and appreciative of a comprehensive resource to assist in this difficult clinical situation. The authors plan to study the effects of algorithm implementation, specifically assessing changes in symptom documentation and antibiotic use.
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http://dx.doi.org/10.9740/mhc.2020.03.064 | DOI Listing |
Pathogens
January 2025
Department of Human Pathology, University of Messina, 98125 Messina, Italy.
The aim of this study was to investigate the differences between nosocomial and community microorganisms isolated from patients with UTI by determining their bacterial profile, antibiotic resistance and ability to produce biofilms. A retrospective study, based on bacterial isolates from consecutive urine samples collected between January 2019 and December 2023, was conducted at a university hospital. The main pathogens isolated from both community and hospital samples were the same, but their frequency of isolation differed.
View Article and Find Full Text PDFInt J Environ Res Public Health
January 2025
Department of Microbiology, Immunology, and Pharmacology, School of Medicine, St. George's University, St. George's P.O. Box 7, Grenada.
Antimicrobial resistance (AMR) is a growing global health threat. This study investigated antibiotic resistance in isolates from municipal wastewater (86 isolates) and clinical urinary tract infection (UTI) cases (34 isolates) in a Grenadian community, using data from January 2022 to October 2023. Antibiogram data, assessed per WHO guidelines for Critically Important antimicrobials (CIA), showed the highest resistance levels in both clinical and wastewater samples for ampicillin, followed by amoxicillin/clavulanic acid and nalidixic acid, all classified as Critically Important.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Department of Urology, Hospital Universitari de Sant Joan, Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain.
Background: Urinary tract infections (UTIs) are a significant global health issue, especially among women, with growing concerns related to antibiotic resistance and adverse effects. The Uromune, a sublingual, heat-inactivated, polybacterial vaccine, represents a promising therapeutic alternative by enhancing immune responses against uropathogens.
Methods: This pilot retrospective study, conducted at Hospital Universitari de Sant Joan de Reus from January 2018 to August 2022, assessed the association between Uromune administration and changes in recurrent UTIs.
J Infect Chemother
January 2025
Department of Infectious Diseases, Kameda Medical Center, 929 Higashi-cho, Kamogawa, 296-8602, Japan.
Herein, we present the case of a 64-year-old woman diagnosed with left calculous pyelonephritis. Gram-positive cocci in clusters were isolated from two sets of her blood culture. These cocci were later identified as Staphylococcus saprophyticus.
View Article and Find Full Text PDFCureus
December 2024
Pediatrics, King Faisal University, Al-Hofuf, SAU.
Background The incidence of pregnancy-associated diabetes has increased in recent decades, leading to neonatal adverse outcomes like metabolic and hematologic disorders, respiratory distress, cardiac disorders, and neurologic impairment. Macrosomia, a common consequence of diabetes, is influenced by maternal blood glucose levels, impacting adverse neonatal outcomes. Aim The current study aimed to assess the neonatal and maternal outcomes of the infants of diabetic mothers.
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