Objectives: To determine the incidence of return visits (RVs), types of RVs, and factors associated with RVs to a pediatric emergency department (ED).
Methods: : Retrospective cohort study of patients seen in an urban, tertiary care pediatric ED.
Main Outcome: RV within 48 hours, identified from a computerized log.
Results: The total RV rate was 3.5% (95% confidence interval, 3.3-3.6), similar to rates (2.4% to 3.4%) reported in general EDs. Most (78.5%) RVs were unscheduled, 17% were scheduled, and 4% were called back to the ED. Infectious disease (45%), respiratory (16%), and trauma (16%) accounted for most RV diagnoses. When compared with the overall ED population, RV patients were more likely to be younger than 2 years [relative risk, 1.3 (1.2-1.4)], to be admitted to the hospital [relative risk, 1.3 (1.2-1.5)], and to be triaged as acute [relative risk, 1.1 (1.0-1.2)]. Patients called back to the ED were younger, more likely to be triaged as acute, and more likely to be admitted than other RV patients. Significant diagnoses were made at RV in 7 (0.4%; 95% confidence interval, 0.1-0.7) patients, half of whom were called back to the ED or had a scheduled RV.
Conclusion: Similarities between our pediatric ED RV rate and other published research implies that benchmarking and quality improvement tools for RV can be used and compared in both pediatric and general EDs. Focusing on systems to call patients back to the ED when necessary may be an efficient way to reduce medical error and adverse patient outcomes.
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http://dx.doi.org/10.1097/01.pec.0000117924.65522.a1 | DOI Listing |
Circ Genom Precis Med
January 2025
Mary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Los Angeles. (W.F., N.D.W.).
Background: Lp(a; Lipoprotein[a]) is a predictor of atherosclerotic cardiovascular disease (ASCVD); however, there are few algorithms incorporating Lp(a), especially from real-world settings. We developed an electronic health record (EHR)-based risk prediction algorithm including Lp(a).
Methods: Utilizing a large EHR database, we categorized Lp(a) cut points at 25, 50, and 75 mg/dL and constructed 10-year ASCVD risk prediction models incorporating Lp(a), with external validation in a pooled cohort of 4 US prospective studies.
Arch Ital Urol Androl
January 2025
Department of Urology, School of Medicine, Shiraz University of Medical Sciences, Shiraz.
Objectives: This research aimed to compare the prostate cancer (PCa) features, survival rate, and functional outcomes after open suprapubic Radical Prostatectomy (RP) between younger men (≤ 55 years) and older men (> 55 years).
Methods: In this retrospective cohort study, we studied 134 patients with clinically localized PCa who underwent RP at our centers between 2011 and 2019, with 26 (19.40%) patients aged ≤ 55.
Arch Ital Urol Androl
January 2025
Urology Department, Faculty of Medicine, Universitas Brawijaya, Saiful Anwar General Hospital, Malang.
Introduction: Excision and primary anastomosis (EPA) urethroplasty is the standard treatment for traumatic urethral strictures, but managing them remains challenging for urologists. Identifying factors leading to EPA urethroplasty failure benefits both patients and surgeons. This study aims to analyze risk factors for urethral stricture recurrence after one-year follow-up of EPA urethroplasty.
View Article and Find Full Text PDFCirc Arrhythm Electrophysiol
January 2025
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN (T.H., M.E.R., O.Y., G.N.K., N.O., T.K., L.N., D.L.P., K.C.S.).
Background: Power-controlled radiofrequency ablation with irrigated-tip catheters has been the norm for ventricular ablation for almost 2 decades. New catheter technology has recently integrated more accurate tissue temperature sensing enabling temperature-controlled irrigated ablation. We aimed to investigate the in vivo ablation parameters and lesion formation characteristics in ventricular myocardium using a novel temperature-controlled radiofrequency catheter.
View Article and Find Full Text PDFCirc Genom Precis Med
January 2025
Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston. (S.M.U., K.P., B.T., A.C.F., P.N.).
Background: Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. We sought to understand how the variable importance of genomic and clinical factors across life stages may significantly improve lifelong CAD event prediction.
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