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Research Studies is a monthly compilation of research articles funded by AHRQ or authored by AHRQ researchers and recently published in journals or newsletters.
Results1 to 3 of 3 Research Studies Displayed
Zachariah P, Sanabria E, Liu J
Novel strategies for predicting healthcare-associated infections at admission: implications for nursing care.
Accurate, real-time models to predict hospital adverse events could facilitate timely and targeted interventions to improve patient outcomes. Advances in computing enable the use of supervised machine learning (SML) techniques to predict hospital-onset infections. The purpose of this study was to trial SML methods to predict urinary tract infections (UTIs) during inpatient hospitalization at the time of admission.
Citation: Zachariah P, Sanabria E, Liu J . Novel strategies for predicting healthcare-associated infections at admission: implications for nursing care. Nurs Res 2020 Sep/Oct;69(5):399-403. doi: 10.1097/nnr.0000000000000449..
Keywords: Urinary Tract Infection (UTI), Healthcare-Associated Infections (HAIs), Adverse Events, Patient Safety, Risk
Rinke ML, Oyeku SO, Heo M
Pediatric ambulatory catheter-associated urinary tract infections (CAUTIs): incidence, risk factors, and patient outcomes.
Catheter-associated urinary tract infections (CAUTIs) occur frequently in pediatric inpatients, and they are associated with increased morbidity and cost. Few studies have investigated ambulatory CAUTIs, despite at-risk children utilizing home urinary catheterization. This retrospective cohort and case-control study determined incidence, risk factors, and outcomes of pediatric patients with ambulatory CAUTI. The investigators concluded that pediatric ambulatory CAUTIs occurred in 18% of patients with catheters; they were associated with morbidity and healthcare utilization. Ambulatory indwelling catheter CAUTI incidence exceeded national inpatient incidence.
Citation: Rinke ML, Oyeku SO, Heo M . Pediatric ambulatory catheter-associated urinary tract infections (CAUTIs): incidence, risk factors, and patient outcomes. Infect Control Hosp Epidemiol 2020 Aug;41(8):891-99. doi: 10.1017/ice.2020.204..
Keywords: Children/Adolescents, Catheter-Associated Urinary Tract Infection (CAUTI), Urinary Tract Infection (UTI), Healthcare-Associated Infections (HAIs), Risk, Ambulatory Care and Surgery, Adverse Events
Weinstein EJ, Han JH, Lautenbach E
A clinical prediction tool for extended-spectrum cephalosporin resistance in community-onset Enterobacterales urinary tract infection.
Researchers sought to create a clinical prediction tool for community-onset urinary tract infections (UTIs) due to extended-spectrum cephalosporin-resistant (ESC-R) Enterobacterales (EB). Study participants included patients who presented to an emergency department or outpatient practice with an EB UTI; case patients had ESC-R EB UTIs and control patients had ESC-susceptible EB UTIs. The predictive model was develop by performing a multivariable conditional logistic regression. The researchers found after multivariable analysis that presentation with an ESC-R EB community-onset UTI could be predicted by the following factors: history of malignancy, history of diabetes, recent skilled nursing facility or hospital stay, recent trimethoprim-sulfamethoxazole exposure, pyelonephritis at the time of presentation. They conclude that community-onset ESC-R EB UTI can be predicted by using the proposed scoring system, which can be helpful to guide diagnostic and therapeutic interventions.
Citation: Weinstein EJ, Han JH, Lautenbach E . A clinical prediction tool for extended-spectrum cephalosporin resistance in community-onset Enterobacterales urinary tract infection. Open Forum Infect Dis 2019 Apr;6(4):ofz164. doi: 10.1093/ofid/ofz164..
Keywords: Community-Acquired Infections, Risk, Urinary Tract Infection (UTI)