Patrones de las enfermedades raras congénitas en pacientes ingresados en un hospital regional
Autor: | M. M. Rodríguez del Águila, M. Peña Taveras, M.C. Martínez Cirre, A. Fernández Valdivia, J. Martínez Tapias |
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Rok vydání: | 2013 |
Předmět: |
Pediatrics
medicine.medical_specialty education.field_of_study Congenital diseases Conjunto Mínimo Básico de Datos Enfermedades raras business.industry Population Asistencia hospitalaria General Medicine Disease University hospital Surgery Pediatric surgery medicine Anomalías congénitas Major Diagnostic Category Neurosurgery Principal diagnosis education business |
Zdroj: | Anales del Sistema Sanitario de Navarra v.36 n.2 2013 SciELO España. Revistas Científicas Españolas de Ciencias de la Salud instname |
ISSN: | 1137-6627 |
DOI: | 10.4321/s1137-66272013000200011 |
Popis: | Background. To describe the pattern of patients admitted due to rare diseases corresponding to congenital anomalies in a regional hospital. Methods. Retrospective transversal study. We considered hospital discharges for the years 2009-2012 with principal diagnosis between codes CIE 9R MC 740-759. The source of information was the Basic Minimum Data Set. Socio-demographic and clinical variables were analyzed. Results. One point six percent (1.6%) of the population was admitted to hospital due to rare congenital diseases. Fifty-eight point five percent (58.5%) were male, with average age 21.4 ± 21.5 years. The major diagnostic categories were: diseases of the nervous system (86.9%), circulatory systems diseases (51.7%) and musculoskeletal system diseases (50.3%). Eighteen percent (18%) of hospital admissions corresponded to patient readmissions. The service with the greatest number of episodes was Pediatric Surgery, 29%, followed by Neurosurgery, 20%. Conclusions. The pattern of rare congenital disease in the “Virgen de Nieves” University Hospital corresponds to a young patient, with a disease belonging to the diseases of the nervous system group of the major diagnostic categories, treated surgically, and with a low percentage of readmissions. |
Databáze: | OpenAIRE |
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