José Miguel Ramos-Fernández1, David Moreno-Pérez2,3, Mario Gutiérrez-Bedmar4, Alexandra Hernández-Yuste5, Ana María Cordón-Martínez5, Guillermo Milano-Manso3,6, Antonio Urda-Cardona1. 1. Unidad de Gestión Clínica de Pediatría. Hospital Materno-Infantil Regional Universitario de Málaga. Málaga. España. 2. Infectología Pediátrica e Inmunodeficiencias. Unidad de Gestión Clínica de Pediatría. Hospital Materno-Infantil Regional Universitario de Málaga. 3. Grupo de Investigación IBIMA. Departamento de Pediatría y Farmacología. Facultad de Medicina de la Universidad de Málaga. Málaga. España. 4. Departamento de Salud Pública y Psiquiatría. Facultad de Medicina. Universidad de Málaga. Málaga. España. 5. Unidad de Gestión Clínica de Pediatría. Grupo de Investigación IBIMA. Hospital Materno-Infantil Regional Universitario de Málaga. Málaga. España. 6. Unidad de Gestión Clínica de Cuidados Críticos y Urgencias. Hospital Materno-Infantil Regional Universitario de Málaga.
Abstract
OBJECTIVE: The need for mechanical ventilation (MV) in acute bronchiolitis (AB) by respiratory syncytial virus (RSV) varies depending on the series (6-18%). Our goal is to determine the admissions to PICU for MV in patients under 6 months with AB and define the risk factors for building a prediction model. METHODS: Retrospective study of patients younger than 6 months admitted by BA-VRS between the periods April 1, 2010 and March 31, 2015 was made. The primary variable was the admission to PICU for MV. Related addition, to find risk factors in a model of binary logistic regression clinical variables were collected. A ROC curve model was developed and optimal cutoff point was identified. RESULTS: In 695 cases, the need of MV in the PICU (Y) was 56 (8.1%). Risk factors (Xi) included in the equation were: 1. male sex (OR 4.27) 2. postmenstrual age (OR: 0.76) 3. Weight income less than p3 (OR: 5.53) 4. intake lees than 50% (OR: 12.4) 5. Severity by scale (OR: 1.58) 6. apneas before admission (OR: 25.5) 7. bacterial superinfection (OR 5.03) and 8. gestational age more than 37 weeks OR (0.32). The area under the curve, sensitivity and specificity were 0.943, 0.84 and 0.93 respectively. CONCLUSIONS: The PICU admission for MV was 8.1 in every 100 healthy infants hospitalized for AB and year. The prediction model equation can help to predict patients at increased risk of severe evolution.
OBJECTIVE: The need for mechanical ventilation (MV) in acute bronchiolitis (AB) by respiratory syncytial virus (RSV) varies depending on the series (6-18%). Our goal is to determine the admissions to PICU for MV in patients under 6 months with AB and define the risk factors for building a prediction model. METHODS: Retrospective study of patients younger than 6 months admitted by BA-VRS between the periods April 1, 2010 and March 31, 2015 was made. The primary variable was the admission to PICU for MV. Related addition, to find risk factors in a model of binary logistic regression clinical variables were collected. A ROC curve model was developed and optimal cutoff point was identified. RESULTS: In 695 cases, the need of MV in the PICU (Y) was 56 (8.1%). Risk factors (Xi) included in the equation were: 1. male sex (OR 4.27) 2. postmenstrual age (OR: 0.76) 3. Weight income less than p3 (OR: 5.53) 4. intake lees than 50% (OR: 12.4) 5. Severity by scale (OR: 1.58) 6. apneas before admission (OR: 25.5) 7. bacterial superinfection (OR 5.03) and 8. gestational age more than 37 weeks OR (0.32). The area under the curve, sensitivity and specificity were 0.943, 0.84 and 0.93 respectively. CONCLUSIONS: The PICU admission for MV was 8.1 in every 100 healthy infants hospitalized for AB and year. The prediction model equation can help to predict patients at increased risk of severe evolution.
Authors: Carme Alejandre; Carmina Guitart; Mònica Balaguer; Isabel Torrús; Sara Bobillo-Perez; Francisco José Cambra; Iolanda Jordan Journal: Eur J Pediatr Date: 2020-09-14 Impact factor: 3.183
Authors: Antonella Di Caprio; Elena Coccolini; Paola Zagni; Eleonora Vaccina; Laura Lucaccioni; Licia Lugli; Lorenzo Iughetti; Alberto Berardi Journal: Acta Biomed Date: 2021-04-30
Authors: Jonatan J Carvajal; Andrea M Avellaneda; Camila Salazar-Ardiles; Jorge E Maya; Alexis M Kalergis; Margarita K Lay Journal: Front Immunol Date: 2019-09-12 Impact factor: 7.561