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Feeding intolerance scoring system in very preterm and very low birth weight infants using clinical and ultrasound findings.
Ifran, Evita Karianni Bermanshah; Hegar, Badriul; Rohsiswatmo, Rinawati; Indriatmi, Wresti; Yuniarti, Tetty; Advani, Najib; Santoso, Dewi Irawati Soeria; Masui, Marshita; Hikmahrachim, Hardya Gustada; Huysentruyt, Koen; Vandenplas, Yvan.
Afiliação
  • Ifran EKB; Department of Child Health, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.
  • Hegar B; Department of Child Health, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.
  • Rohsiswatmo R; Department of Child Health, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.
  • Indriatmi W; Department of Dermatology and Venereology, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.
  • Yuniarti T; Department of Child Health, Faculty of Medicine Universitas Padjajaran-Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
  • Advani N; Department of Child Health, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.
  • Santoso DIS; Department of Physiology, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
  • Masui M; Department of Child Health, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.
  • Hikmahrachim HG; Department of Child Health, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia.
  • Huysentruyt K; Vrije Universiteit Brussel (VUB), UZ Brussel, KidZ Health Castle, Brussels, Belgium.
  • Vandenplas Y; Vrije Universiteit Brussel (VUB), UZ Brussel, KidZ Health Castle, Brussels, Belgium.
Front Pediatr ; 12: 1370361, 2024.
Article em En | MEDLINE | ID: mdl-38725983
ABSTRACT
Very preterm infants are at a high risk of developing feeding intolerance; however, there are no widely accepted definitions of feeding intolerance. This study aimed to develop a scoring system for feeding intolerance in very preterm infants by combining clinical symptoms and ultrasonography (US) findings. This prospective cohort study included very preterm and/or very low birth weight infants. We defined feeding intolerance as the inability to achieve full feeding (150 ml/kg/day) by 14 days of life. The clinical findings included vomiting, abdominal distention, and gastric fluid color. US findings included intestinal peristaltic frequency, gastric residual volume, peak systolic velocity, and the resistive index of the superior mesenteric artery. We conducted multivariate analyses to evaluate the potential predictors and developed a scoring system to predict feeding intolerance. A total of 156 infants fulfilled the eligibility criteria; however, 16 dropped out due to death. The proportion of patients with feeding intolerance was 60 (42.8%). Based on the predictive ability, predictors of feeding intolerance were determined using data from the US at 5-7 days of age. According to multivariate analysis, the final model consisted of 5 predictors abdominal distention (score 1), hemorrhagic gastric fluid (score 2), intestinal peristaltic movement ≤18x/2 min (score 2), gastric fluid residue >25% (score 2), and resistive index >0.785 (score 2). A score equal to or above 5 indicated an increased risk of feeding intolerance with a positive predictive value of 84.4% (95% confidence interval73.9-95.0) and a negative predictive value of 76.8% (95% confidence interval68.4-85.3). The scoring system had good discrimination (area under the receiver operating characteristic curve0.90) and calibration (p = 0.530) abilities. This study developed an objective, accurate, easy, and safe scoring system for predicting feeding intolerance based on clinical findings, 2D US, and color Doppler US.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article