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Mohammed, A., Podila, P.S.B., Davis, R.L., Ataga, K.I., Hankins, J.S. and Kamaleswaran, R. (2020) Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients with Sickle Cell Disease: Retrospective Study. Journal of Medical Internet Research, 22, e14693.
https://doi.org/10.2196/14693

has been cited by the following article:

• TITLE: Diagnostic Classification Model of Vaso-Occlusive Crises Based on Oxidative, Inflammatory and Metabolic Biomarkers in Congolese Sickle Cell Patients

  AUTHORS: Ghislain Loubano-Voumbi, Cédric Régis Boumba Makaya, Yanick De Grace Kayi, Fleur Belvina Kouediatouka, Gloria Marilou Moufouma-Retobet, Ruth Urcia Moubie, Adamou Babanguida, Luc Magloire Anicet Boumba

  KEYWORDS: Sickle Cell Disease, FoxO3, Oxidative Stress, Inflammation, Vaso-Occlusive Crisis, Malondialdehyde, Lactate, Biomarker

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.14 No.7, July 15, 2026

  ABSTRACT: To develop a biological diagnostic model of vaso-occlusive crises based on oxidative, inflammatory, and metabolic biomarkers in Congolese sickle cell patients, a cross-sectional analytical study was conducted among 150 participants divided into four groups: HbAA controls (n = 30), HbAS subjects (n = 30), HbSS steady-state patients (n = 45), and HbSS patients during VOC (n = 45). Serum levels of FoxO3, interleukin-6 (IL-6), C-reactive protein (CRP), lactate, and malondialdehyde (MDA) were measured using ELISA, immunofluorescence, and enzymatic methods. Correlation analyses, linear regression, multivariate logistic regression, and ROC curve analyses were performed. FoxO3, IL-6, CRP, lactate, and MDA concentrations were significantly higher in HbSS patients during VOC compared with all other groups (p 2 = 0.66, p 2 = 0.55, p