Objective: To validate and implement a computer module for the management of uncomplicated urinary tract infections (UTI).
Participants: Women age 18 to 64 years, with a previous UTI, voiding symptoms, and absence of complicating features (comorbidities, vaginal discharge, back pain, emesis, and fever/chills).
Measurements: The computer module was validated against clinician diagnosis and urine culture. Following validation, the module was implemented in the urgent care clinic as a management option for women with suspected UTI; computer-directed therapy (CDT)-eligible women received antibiotic treatment without a clinician examination. Patient satisfaction with the module and return visits for UTI-related complaints were assessed.
Results: In the validation study, 18 of 68 women (26%) were CDT-eligible. Clinicians diagnosed 17/18 CDT-eligible women with uncomplicated UTI. Sixty-seven percent of CDT-eligible women had a positive urine culture. Since implementation, 162 women have accessed the module, and 35% have received CDT. Ninety-eight percent (95% confidence interval: 95% to 100%) found the program easy to use and 95% (89% to 100%) would recommend it to friends/family. Two (4%) CDT-treated women had a return visit to our institution for a UTI-related illness within 2 weeks.
Conclusions: A computer module accurately identifies women with culture-confirmed, uncomplicated UTIs. Patients are highly satisfied with the module.
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http://dx.doi.org/10.1111/j.1525-1497.2006.00575.x | DOI Listing |
PLoS One
January 2025
Department of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China.
Background: The morbidity and mortality of sepsis remain high, and so far specific diagnostic and therapeutic means are lacking.
Objective: To screen novel biomarkers for sepsis.
Methods: Raw sepsis data were downloaded from the Chinese National Genebank (CNGBdb) and screened for differentially expressed RNAs.
PLoS One
January 2025
College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, China.
Influenced by urban expansion, population growth, and various socio-economic activities, land use in the Yangtze River Delta (YRD) area has undergone prominent changes. Modifications in land use have resulted in adjustments to ecological structures, leading to subsequent fluctuations in carbon storage. This study focuses on YRD region and analyzes the characteristics of land use changes in the area using land use data from 2000 to 2020, with a 10-year interval.
View Article and Find Full Text PDFHypertension is a critical risk factor and cause of mortality in cardiovascular diseases, and it remains a global public health issue. Therefore, understanding its mechanisms is essential for treating and preventing hypertension. Gene expression data is an important source for obtaining hypertension biomarkers.
View Article and Find Full Text PDFPLoS One
January 2025
Engineering Research Center of Hydrogen Energy Equipment& Safety Detection, Universities of Shaanxi Province, Xijing University, Xi'an, China.
The traditional method of corn quality detection relies heavily on the subjective judgment of inspectors and suffers from a high error rate. To address these issues, this study employs the Swin Transformer as an enhanced base model, integrating machine vision and deep learning techniques for corn quality assessment. Initially, images of high-quality, moldy, and broken corn were collected.
View Article and Find Full Text PDFJ Clin Hypertens (Greenwich)
January 2025
College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fuzhou, Fujian, China.
Preeclampsia (PE) is a pregnancy-specific disorder characterized by an unclearly understood pathogenesis and poses a great threat to maternal and fetal safety. Cuproptosis, a novel form of cellular death, has been implicated in the advancement of various diseases. However, the role of cuproptosis and immune-related genes in PE is unclear.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!