Background: A readmission is defined as a new admission to hospital for at least one night in the 30 days following a discharge. Some are caused by events unrelated to the reason for the initial admission (unavoidable) and others caused by the same pathology (related). Different predictive models allow the identification of patients at higher risk of readmission. The "HOSPITAL simplified" score stands out for its performance and simplicity.
Aim: To validate the "HOSPITAL simplified" scale in a cohort of patients at the University Hospital of Alava.
Method: Review of patients discharged from OSI Araba Medical Services in June and November 2023. The scale was applied to each of them and re-admission was studied in the 30 days following discharge. The Brier Score, discrimination and calibration capacity were analysed, using the guidelines of the TRIPOD declaration.
Results: In 1849 discharges there were 240 unscheduled readmissions: 73 for causes unrelated to the previous admission and 151 related. For predicting related readmissions the scale obtained a Brier score = 0.0703. The mean score for cases with related readmission was 4.7 versus 2.66 for cases without readmission (P < 0.001). The area under the ROC curve = 0.747. Related readmission occurred in 29.3% of patients at high risk, compared to 17.3% predicted by the scale.
Conclusions: The "HOSPITAL simplified" scale showed in OSI Araba a higher discrimination capacity than the original series although it underestimated the real risk. The scale offers good portability.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.rceng.2025.01.007 | DOI Listing |
Rev Clin Esp (Barc)
January 2025
Universidad del País Vasco-Euskal Herriko Unibertsitatea, Unidad Docente de Medicina y Enfermería, Campus de Álava, Vitoria-Gasteiz, Spain; Instituto de Investigación Sanitaria Bioaraba, Vitoria-Gasteiz, Spain; Servicio de Hospitalización a Domicilio, Osakidetza-Servicio Vasco de Salud, País Vasco, Spain. Electronic address:
Background: A readmission is defined as a new admission to hospital for at least one night in the 30 days following a discharge. Some are caused by events unrelated to the reason for the initial admission (unavoidable) and others caused by the same pathology (related). Different predictive models allow the identification of patients at higher risk of readmission.
View Article and Find Full Text PDFArch Bronconeumol
October 2024
Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain; Group of Precision Medicine in Chronic Diseases, Hospital Nacional de Parapléjicos, IDISCAM, Department of Nursing, Physiotherapy and Occupational Therapy, Faculty of Physiotherapy and Nursing, University of Castilla-La Mancha, Toledo, Spain. Electronic address:
Nutrients
September 2024
Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, 08024 Barcelona, Spain.
Individuals with dementia and neurodegenerative diseases (NDDs) often suffer from cardiovascular diseases (CVDs). Neuroinflammation driven by conditions involved in CVDs is linked to disruptions in the central nervous system triggering immune reactions, perpetuating an "inflammatory-like" environment. The Mediterranean diet (MedDiet), known for its anti-inflammatory and antioxidant properties, has been proposed as a key factor to attenuate these risks.
View Article and Find Full Text PDFEye (Lond)
December 2024
Hospital Clínic de Barcelona, Universitat de Barcelona, Barcelona, Spain.
Objectives: To compare visual outcomes for low vision eyes (LVE) (<35 letters LogMAR or <20/200 Snellen) versus non-low vision eyes (NLVE) (>35 letters LogMAR or >20/200 Snellen) at the time of the first injection in a clinical practice setting.
Methods: Subgroup analysis of a multicenter national database of treatment- naïve eyes neovascular age related macular degeneration (nAMD) treated with anti-VEGF intravitreal injections divided into LVE and NLVE. Demographics, visual acuity (VA) at baseline and subsequent timepoints (12, 24, and 36 months), number of injections and visits data were collected using a validated web-based tool (Fight Retinal Blindness!).
Urol Oncol
September 2024
Department of Urology, Araba University Hospital, OSI Araba Osakidetza, Vitoria-Gasteiz, Spain.
Background: The implementation of population screening for prostate cancer has increased the number of patients with biochemical suspicion. Prediction models may reduce the number of unnecessary biopsies by identifying patients who benefit the most from them. Our aim is to develop a prediction model that is easily applicable in patients with suspicion of prostate cancer in the urology clinic setting to avoid unnecessary biopsies.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!