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Clinical and Laboratory Profile of Macrophage Activation Syndrome in Kawasaki Disease: A Single Centre Cross-Sectional Study.
Maheshwari, Anu; Gulati, Sameer; Kakkar, Vanshika; Kavya, D R; Aggarwal, Meenakshi; Basu, Srikanta; Mahto, Deonath.
Afiliação
  • Maheshwari A; Department of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India. Correspondence to: Dr Anu Maheshwari, Professor, Department of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children Hospital, New Delhi, India. dra
  • Gulati S; Department of Internal Medicine, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India.
  • Kakkar V; Department of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India.
  • Kavya DR; Department of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India.
  • Aggarwal M; Department of Microbiology, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India.
  • Basu S; Department of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India.
  • Mahto D; Department of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India.
Indian Pediatr ; 2024 Jun 07.
Article em En | MEDLINE | ID: mdl-38859648
ABSTRACT

OBJECTIVE:

To study the prevalence of Macrophage Activation Syndrome (MAS) in children with Kawasaki disease (KD) and to devise a classification tree for predicting MAS in early KD based on easily available clinical and laboratory information using artificial intelligence (AI) technology.

METHODS:

A prospective cross-sectional observational study was conducted (March 2020 - October 2021) during which hospitalized children aged 1-18 years with KD were consecutively enrolled. Those with positive RTPCR test or IgM/IgG serology for COVID-19 were excluded. The clinical and laboratory profiles of children with and without MAS were studied. A multivariable logistic regression (LR) model was developed utilizing backward elimination method to determine the relationship between select candidate predictor variables and MAS in patients with KD. A classification tree was created based on these using artificial intelligence algorithms.

RESULTS:

Sixty-two children were diagnosed with KD during the study period, of these, 42 children with KD were included; 14 (33.3 %) were diagnosed with MAS. The median (IQR) duration of fever (days) was significantly more in MAS than those without MAS [7 (5, 15) vs 5 (5, 9), P < 0.05]. Serum albumin (g/dL) was significantly lower in those with MAS [2.3 (2.2, 2.7) vs 2.8 (2.3, 3.1), P = 0.03]. The classification tree constructed by the AI-based algorithm predicted that in children with KD who had myocardial dysfunction, serum albumin ≤ 2.8 g/dL and fever > 6 days duration at admission had increased likelihood of developing MAS. In children without myocardial dysfunction, alanine transaminase (ALT) levels > 70 U/L and fever > 5 days were equally predictive of MAS.

CONCLUSION:

Nearly one-third of the children with KD had MAS. Clinicians should consider screening all children with KD for MAS at admission. A classification tree based on the presence of myocardial dysfunction, duration of fever > 6 days, ALT levels and hypoalbuminemia can identify MAS in the course of KD.
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Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article