Haematological parameters predicting cardiac involvement in children with COVID-19 infection

Ufuk U Güllü1, Sevcan İpek2, Şükrü Güngör3

  • 1Department of Pediatric Cardiology, Kahramanmaraş Sütçü İmam University Medical Faculty, Kahramanmaraş, Turkey.

Insights

Certain blood tests, including neutrophil-to-lymphocyte ratio (NLR), proBNP, and troponin-I, can effectively predict pediatric COVID-19 cardiac complications like MIS-C. These cost-effective markers aid in early risk assessment for better patient outcomes.

Area of Science:

  • Pediatric Cardiology
  • Infectious Diseases
  • Hematology

Background:

  • Neutrophil-to-lymphocyte ratio (NLR) and cardiac biomarkers are cost-effective indicators for various disease prognoses.
  • Predicting cardiac involvement in COVID-19 infections is crucial for managing pediatric patients.

Purpose of the Study:

  • To evaluate haematological parameters and cardiac biomarkers for predicting cardiac involvement in pediatric COVID-19.
  • To assess the predictive value of NLR, proBNP, CKMB, and troponin-I for MIS-C in children.

Main Methods:

  • Retrospective study of pediatric patients (1 month to 18 years) with positive COVID-19 PCR and no comorbidities.
  • Analysis included 292 COVID-19 patients, 12 MIS-C patients, and 70 healthy controls.
  • Receiver operator characteristic (ROC) curve and logistic regression analyses were performed.

Main Results:

  • NLR (≥5.03), proBNP (≥329.5 ng/L), CKMB (≥2.95 μg/L), and troponin-I (≥0.03 μg/L) showed predictive capabilities for MIS-C.
  • High sensitivity and specificity were observed for NLR, proBNP, and troponin-I in predicting MIS-C.
  • Logistic regression indicated significant risk increases for MIS-C with elevated NLR (19.3x), proBNP (238x), and troponin-I (60x).

Conclusions:

  • ProBNP, troponin-I, and NLR are valuable predictors of MIS-C development in pediatric COVID-19 patients upon admission.
  • These haematological and cardiac markers offer high sensitivity and specificity for early detection.
  • Early identification using these parameters can guide timely intervention and management strategies.
Abstract

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