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Eleven years of experience in operating a pediatric rapid response system at a children's hospital in South Korea.
Jeon, Yong Hyuk; Lee, Bongjin; Kim, You Sun; Jang, Won Jin; Park, June Dong.
Afiliação
  • Jeon YH; Department of Pediatrics, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Lee B; Department of Pediatrics, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Kim YS; Innovative Medical Technology Research Institute, Seoul National University Hospital, Seoul, Korea.
  • Jang WJ; Department of Pediatrics, National Medical Center, Seoul, Korea.
  • Park JD; Department of Pediatrics, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Acute Crit Care ; 38(4): 498-506, 2023 Nov.
Article em En | MEDLINE | ID: mdl-38052515
BACKGROUND: Various rapid response systems have been developed to detect clinical deterioration in patients. Few studies have evaluated single-parameter systems in children compared to scoring systems. Therefore, in this study we evaluated a single-parameter system called the acute response system (ARS). METHODS: This retrospective study was performed at a tertiary children's hospital. Patients under 18 years old admitted from January 2012 to August 2023 were enrolled. ARS parameters such as systolic blood pressure, heart rate, respiratory rate, oxygen saturation, and whether the ARS was activated were collected. We divided patients into two groups according to activation status and then compared the occurrence of critical events (cardiopulmonary resuscitation or unexpected intensive care unit admission). We evaluated the ability of ARS to predict critical events and calculated compliance. We also analyzed the correlation between each parameter that activates ARS and critical events. RESULTS: The critical events prediction performance of ARS has a specificity of 98.5%, a sensitivity of 24.0%, a negative predictive value of 99.6%, and a positive predictive value of 8.1%. The compliance rate was 15.6%. Statistically significant increases in the risk of critical events were observed for all abnormal criteria except low heart rate. There was no significant difference in the incidence of critical events. CONCLUSIONS: ARS, a single parameter system, had good specificity and negative predictive value for predicting critical events; however, sensitivity and positive predictive value were not good, and medical staff compliance was poor.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article