The study evaluated the accuracy and clinical impact of rapid diagnostics (RD) with or without antibiotic decision support (ADS) for hospitalized patients with urinary tract infections. A two-centre prospective intervention was conducted with 230 patients divided into three groups: RD-only (n = 59), RD plus ADS (n = 56) and a control group (n = 115). Mean laboratory turnaround time for RD was 10 h and 50 min. Of 115 microorganisms, 108 were correctly identified. The error rate for rapid susceptibility determination was 0.85%. Total antibiotic consumption, measured in defined daily doses (DDD), was lower in the intervention groups compared to the control group (ADS: 10.3 DDD, p = 0.01; RD: 10.9 DDD, p = 0.06; control: 13.0 DDD). No significant differences were observed in the use of broad-spectrum antibiotics (p = 0.816). Adherence to antibiotic guidelines was significantly better in the ADS group compared to the control group (p = 0.015) (RD vs control; p = 0.261). The ADS group also received fewer doses of ineffective antibiotics (ADS: 1.8 doses, p = 0.012; RD: 2.4 doses, p = 0.195; control: 3.4 doses). Length of hospital and ICU stays or 30-day readmission rates did not differ across groups. No in-hospital mortality was observed in any group.
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http://dx.doi.org/10.1111/apm.13491 | DOI Listing |
J Eval Clin Pract
February 2025
Akşehir Kadir Yallagöz Health School, Selcuk University, Konya, Türkiye.
Aim: The purpose of this study is to compare the efficacy of an artificial intelligence (AI)-based care plan learning strategy with standard training techniques in order to determine how it affects nursing students' learning results in newborn resuscitation.
Methods: Seventy third-year nursing students from a state university in Türkiye participated in the study. They were split into two groups: the experimental group, which received care plans based on AI, and the control group, which received traditional instruction.
J Eval Clin Pract
February 2025
Instituto Mexicano del Seguro Social, IMSS Hospital General de Zona Número 17, Monterrey, Nuevo León, México.
Introduction: Rheumatoid arthritis (RA) is a progressive autoimmune inflammatory disease. According to the European League Against Rheumatism (EULAR), the stages of RA progression include pre-RA, preclinical RA, inflammatory arthralgia, arthralgia with positive antibodies, arthralgia suspected of progressing to RA, undifferentiated arthritis and finally established RA. According to the Community Oriented Program for Control of Rheumatic Diseases (COPCORD), the prevalence of RA in Mexico is 1.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
In Internet of Things (IoT) networks, identifying the primary Medium Access Control (MAC) layer protocol which is suited for a service characteristic is necessary based on the requirements of the application. In this paper, we propose Energy Efficient and Group Priority MAC (EEGP-MAC) protocol using Hybrid Q-Learning Honey Badger Algorithm (QL-HBA) for IoT Networks. This algorithm employs reinforcement agents to select an environment based on predefined actions and tasks.
View Article and Find Full Text PDFInt J Bipolar Disord
December 2024
Department for Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt-Goethe University, Frankfurt am Main, Germany.
Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neuro-developmental disorder that often persists into adulthood. Moreover, it is frequently accompanied by bipolar disorder (BD) as well as borderline personality disorder (BPD). It is unclear whether these disorders share underlying pathomechanisms, given that all three are characterized by alterations in affective states, either long or short-term.
View Article and Find Full Text PDFJ Cardiovasc Transl Res
December 2024
Department of Clinical Laboratory, Henan Provincial People's Hospital, Zhengzhou, China.
This study explored the early diagnosis and prognostic value of copeptin in non-ST-segment elevation acute coronary syndrome (NSTE-ACS). 171 patients with chest pain or myocardial ischemia symptoms were enrolled. Patients with NSTE-ACS were further divided into the non-ST-elevation myocardial infarction (NSTEMI) and unstable angina (UA).
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