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¿Podría ser útil la puntuación Apgar quirúrgica para predecir las complicaciones postoperatorias tras la cirugía de fractura femoral proximal? Un estudio retrospectivo de cohorte
Institution:1. Centro Hospitalar Universitário do Porto, Oporto, Portugal;2. Anesthesiology Department, Centro Hospitalar Universitário do Porto, Oporto, Portugal;1. Servicio de Anestesiología y Reanimación, Hospital Verge dels Lliris, Alcoy, Alicante, España;2. Servicio de Anestesiología y Reanimación, Hospital Clínic, Barcelona, España;3. Servicio de Anestesiología y Reanimación, Hospital Universitario Infanta Leonor, Madrid, España;4. Servicio de Anestesiología y Reanimación, Hospital Clínic Universitari La Fe, Valencia, España;5. Servicio de Anestesiología y Reanimación, Hospital Clínic Universitari Dr. Pesset, Valencia, España;6. Servicio de Anestesiología y Reanimación, Hospital Clínic Universitari de Bellvitge, L’Hospitalet de Llobregat, Barcelona, España;1. Departamento de Anestesiología, Sección Neuroanestesia, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia;2. Departamento de Anestesiología, Sección Neuroanestesia, Hospital Clínic de Barcelona, Universidad de Barcelona, Barcelona, España;1. Servicio de Anestesiología y Reanimación. Hospital Universitario Central de la Defensa «Gómez Ulla», Madrid, España;2. Apoyo Sanitario de Ferrol. Arsenal de Ferrol, La Coruña, España;3. Servicio de Cirugía Ortopédica y Traumatología. Hospital Universitario Central de la Defensa «Gómez Ulla», Madrid, España;4. Departamento de Cirugía. Facultad de Medicina. Universidad Autónoma de Madrid, Madrid, España
Abstract:BackgroundThe surgical Apgar score (SAS) is a perioperative risk evaluation score, which considers intraoperative minimum heart rate, minimum mean arterial pressure and estimated blood loss. Although validated in multiple surgical fields, SAS remains quite controversial in the orthopedic one. The main purpose of this study was to investigate if SAS relates with the occurrence of complications during the first 30-days after proximal femoral fracture surgery.MethodsRetrospective study including all consecutive patients submitted to proximal femoral fracture surgery between January and July 2019. Patients with no information about SAS were excluded. Patients were divided in two groups, based on the occurrence of complications during the first 30 post-operative days and their SAS calculated. Receiver operating characteristic (ROC) curves were used to assess SAS power as a predictive model of complications.ResultsForty-two percent (n = 76) of the 181 patients included in the study developed complications during the first 30 postoperative days. Eight patients (4,4%) died during that period. The patient's mean age was 79 years and 30,9% (n = 56) were men. Heart failure, pacemaker use, chronic kidney disease, chronic obstructive pulmonary disease and dementia were significantly associated with post-operative morbidity. There was no significant correlation between SAS and the occurrence of complications during the first 30 postoperative days. The AUC of SAS as a predictive model for postoperative complications after proximal femoral fracture surgery was 0,522, being insufficient to be considered an accepted model of prediction.ConclusionBased on this study, we conclude that SAS is not predictive of the development of complications in the first 30 post-operative days in patients submitted to proximal femoral fracture surgery. However, other clinical factors have been identified as associated with postoperative morbidity. In the future, prospective-based studies with higher samples may better clarify the role of SAS in this context.
Keywords:Surgical Apgar Score  Proximal femur fracture  Postoperative morbidity  Perioperative risk
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