DR Congo; Sickle cell anemia; low income population; rural hospital; severity score; Fetal Hemoglobin; Male; Female; Humans; Child; Cross-Sectional Studies; Democratic Republic of the Congo/epidemiology; Fetal Hemoglobin/genetics; Anemia, Sickle Cell/epidemiology; Anemia, Sickle Cell/genetics; Anemia, Sickle Cell/complications; Anemia, Sickle Cell; Democratic Republic of the Congo; Hematology
Abstract :
[en] [en] BACKGROUND: Sickle Cell Anemia (SCA) is the most common genetic disease worldwide caused by a single mutation in the gene HBB. The disease severity is very variable and depends on many factors. We evaluated the clinical and biological profile of sickle cell anemia children in rural Central Africa.
METHODS: This cross-sectional study was conducted in the Hôpital Saint Luc de Kisantu, located 120 km away from Kinshasa-DR Congo in an area of 35 km around Kisantu with a population of roughly 80 000 individuals. We included SCA patients aged 6 months to 18 years. We collected clinical and hematological data. The SCA scoring system proposed by Adegoke et al. in 2013 was applied to determine the disease severity. We searched for factors associated to the disease severity.
RESULTS: This study included 136 patients, 66 males and 70 females (sex-ratio M/F 0.94). The mean severity score was 8.21 ± 5.30 (ranges 0-23). Fifty-nine (43.4%) children had mild disease, 62 (45.6%) moderate and 15 (11%) severe disease. Girls had higher levels of HbF than boys (p = 0.003). An inverse correlation was observed between fetal hemoglobin and the disease severity (p = 0.005, r -0.239, IC95% -6.139; -1.469). Some factors such age influence the occurrence of certain chronic complications such as avascular bone necrosis.
CONCLUSION: In conclusion, the disease severity of SCA depends on multiple factors. In this study, fetal hemoglobin was the main modulator of the disease severity. These data may also serve as a baseline to initiate HU treatment in this setting.
Disciplines :
Laboratory medicine & medical technology
Author, co-author :
Mbayabo, Gloire ; Department of Pediatrics, University of Kinshasa, Kinshasa, Democratic Republic of the Congo ; Center for Human Genetics, KU Leuven and University Hospitals Leuven, Leuven, Belgium ; Center of Human Genetics, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
Ngole, Mamy ; Center for Human Genetics, KU Leuven and University Hospitals Leuven, Leuven, Belgium ; Department of Clinical Biology, University of Kinshasa, Kinshasa, Democratic Republic of the Congo ; Center of Human Genetics, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
Lumbala, Paul Kabuyi ; Department of Pediatrics, University of Kinshasa, Kinshasa, Democratic Republic of the Congo ; Center for Human Genetics, KU Leuven and University Hospitals Leuven, Leuven, Belgium ; Center of Human Genetics, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
Lumaka Zola, Aimé ; Centre Hospitalier Universitaire de Liège - CHU > > Service de génétique ; Department of Pediatrics, University of Kinshasa, Kinshasa, Democratic Republic of the Congo ; Center of Human Genetics, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
Race, Valerie ; Center for Human Genetics, KU Leuven and University Hospitals Leuven, Leuven, Belgium
Matthijs, Gert ; Center for Human Genetics, KU Leuven and University Hospitals Leuven, Leuven, Belgium
Mikobi, Tite Minga ; Center of Human Genetics, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo ; Département des sciences de base, Laboratory of biochemistry and molecular biology, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
Devriendt, Koenraad ; Center for Human Genetics, KU Leuven and University Hospitals Leuven, Leuven, Belgium
Van Geet, Chris ; Department of Cardiovascular Sciences and Pediatrics (Hemato-oncology), KU Leuven and University Hospitals Leuven, Leuven, Belgium
Lukusa, Prosper Tshilobo ; Department of Pediatrics, University of Kinshasa, Kinshasa, Democratic Republic of the Congo ; Center for Human Genetics, KU Leuven and University Hospitals Leuven, Leuven, Belgium ; Center of Human Genetics, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo
Language :
English
Title :
Clinical and biological profile of Sickle Cell Anemia children in a rural area in Central Africa.
This study was funded by Vlaamse Interuniversitaire Raad (VLIRUOS), and supported by the Chair ‘Genetics in the DR Congo’ (KU Leuven, holder K. Devriendt). We are grateful to The parents of SCA children who accepted to participate in this study. All the staff of pediatrics service of Kisantu Saint Luc Hospital. Cathy Songo, technician at the Center for Human Genetics, University of Kinshasa. Authors contributions: Data collection: Gloire Mbayabo. Drafting: Gloire Mbayabo, Mamy Ngole Zita, Paul Lumbala Kabuyi, Koenraad Devriendt, Chris Van Geet, Prosper Tshilobo Lukusa. Laboratory diagnosis of sickle cell disease: Gloire Mbayabo, Mamy Ngole. Conception and design of the study, review of the manuscript: Gloire Mbayabo, Mamy Ngole Zita, Paul Lumbala Kabuyi, Aimé Lumaka, Valerie Race, Gert Matthijs, Tite Mikobi Minga, Koenraad Devriendt, Prosper Tshilobo Lukusa, Chris Van Geet. All authors revised and approved the final version of the manuscript.
Weatherall D, Akinyanju O, Fucharoen S, et al Chapter 34. inherited disorders of hemoglobin. In Disease control priorities in developing countries (2nd Ed). The International Bank for Reconstruction and Development / The World Bank 2006; 663–680.
Agasa B, Bosunga K, Opara A, et al. Prevalence of sickle cell disease in a northeastern region of the Democratic Republic of Congo: What impact on transfusion policy? Transfus Med. 2010; 20 (1): 62–65.
Tshilolo L, Kafando E, Sawadogo M, et al. Neonatal screening and clinical care programmes for sickle cell disorders in sub-Saharan Africa: Lessons from pilot studies. Public Health. 2008; 122 (9): 933–941. doi: 10.1016/j.puhe.2007.12.005.
Tshilolo L, Aissi LM, Lukusa D, et al. Neonatal screening for sickle cell anaemia in the Democratic Republic of the Congo: Experience from a pioneer project on 31 204 newborns. J Clin Pathol. 2009; 62 (1): 35–38. doi: 10.1136/jcp.2008.058958.
Grosse SD, Odame I, Atrash HK, et al. Sickle cell disease in Africa. Am J Prev Med. 2011; 41 (6): S398398–S39S405. doi: 10.1016/j.amepre.2011.09.013.
Kumar AA, Chunda-Liyoka C, Hennek JW, et al. Evaluation of a density-based rapid diagnostic test for sickle cell disease in a clinical setting in Zambia. PLoS One. 2014; 9 (12): 1–24.
Piel FB, Hay SI, Gupta S, et al. Global burden of sickle cell anaemia in children under five, 2010-2050: modelling based on demographics, excess mortality, and interventions. PLoS Med. 2013; 10 (7). e1001484. doi: 10.1371/journal.pmed.100148.
Inusa BPD, Hsu LL, Kohli N, et al. Sickle cell disease—genetics, pathophysiology, clinical presentation and treatment. Int J Neonatal Screen. 2019; 5 (2): 20. doi: 10.3390/ijns5020020.
Ballas SK, Kesen MR, Goldberg MF, et al. Beyond the definitions of the phenotypic complications of sickle cell disease: An update on management. Sci World J. 2012;: 94953. doi: 10.1100/2012/949535.
Makani J, Ofori-Acquah SF, Nnodu O, et al. Sickle cell disease: New opportunities and challenges in Africa. Sci World J. 2013: 1–16. doi: 10.1155/2013/193252.
El-hazmi MAF. Clinical and haematological diversity of sickle cell disease in Saudi children. J Trop Pediatr. 1992; 38 (3): 106–112. https://pubmed.ncbi.nlm.nih.gov/1380566/
Sebastiani P, Nolan VG, Baldwin CT, Abad-Grau MM, Wang L, Adewoye AH, et al. A network model to predict the risk of death in sickle cell disease. Blood. 2007; 110 (7): 2727–2735. doi: 10.1182/blood-2007-04-084921
Van Den Tweel XW, Van Der Lee JH, Heijboer H, et al. Development and validation of a pediatric severity index for sickle cell patients. Am J Hematol. 2010; 85 (10): 746–751. doi: 10.1002/ajh.21846.
Samuel AA, Peter Kuti B. J Appl Hematol. 2013; 4: 58–64.
Antwi-Boasiako C, Ekem I, Abdul-Rahman M, et al. Hematological parameters in Ghanaian sickle cell disease patients. J Blood Med. 2018; Volume 9: 203–209. doi: 10.2147/JBM.S169872.
Uche E, Adelekan O, Akinbami A, et al. Serum homocysteine and disease severity in sickle cell anemia patients in Lagos. J Blood Med. 2019; 10: 127–134. doi: 10.2147/JBM.S198316.
Oladimeji OI, Adeodu OO, Onakpoya OH, et al. Prevalence of ocular abnormalities in relation to sickle cell disease severity among children in South-western, Nigeria. Eur J Ophthalmol. 2021; 31 (5): 2659–2665. doi: 10.1177/1120672120957615.
Ezenwosu O, Chukwu B, Ezenwosu I, et al. Clinical depression in children and adolescents with sickle cell anaemia: influencing factors in a resource-limited setting. BMC Pediatr. 2021; 21 (1): 1–8. doi: 10.1186/S12887-020-02457-3.
Okocha CE, Manafa PO, Igwe CN, et al. Adiponectin and disease severity in sickle cell anemia patients attending a tertiary health institution in Nnewi, Southeast Nigeria. Front Genet. 2022; 13 (February): 1–5.
Hyacinth HI, Gee BE, Hibbert JM. The role of nutrition in sickle cell disease. Nutr Metab Insights. 2010; 3: NMI.S5048.
Reid M. Nutrition and sickle cell disease. Comptes Rendus Biol. 2013; 336 (3): 159–163. doi: 10.1016/j.crvi.2012.09.007.
Mandese V, Marotti F, Bedetti L, et al. Effects of nutritional intake on disease severity in children with sickle cell disease. Nutr J. 2016; 15 (1): 1–6. doi: 10.1186/s12937-016-0159-8.
Mikobi TM, Lukusa Tshilobo P, Aloni MN, et al. Clinical phenotypes and the biological parameters of Congolese patients suffering from sickle cell anemia: A first report from Central Africa. J Clin Lab Anal. 2017; 31 (6): 1–6.
Carrocini GC de S, Zamaro PJA, Bonini-Domingos CR. What influences Hb fetal production in adulthood? Rev Bras Hematol Hemoter. 2011; 33 (3): 231–236. doi: 10.5581/1516-8484.20110059.
Dover GJ, Smith KD, Chang YC, et al. Fetal hemoglobin levels in sickle cell disease and normal individuals are partially controlled by an X-linked gene located at Xp22.2. Blood. 1992; 80 (3): 816–824. doi: 10.1182/blood.V80.3.816.816.
Green NS, Ender KL, Pashankar F, et al. Candidate sequence variants and fetal hemoglobin in children with sickle cell disease treated with hydroxyurea. PLoS One. 2013; 8 (2): 1–7.
Garner C, Mitchell J, Hatzis T, et al. Haplotype mapping of a major quantitative-trait locus for fetal hemoglobin production, on chromosome 6q23. Am J Hum Genet. 1998; 62 (6): 1468–1474. doi: 10.1086/301859.
Fogarty H, Gaul A, Syed S, Aleksejenko N, Geoghegan R, Conroy H, et al. Adherence to hydroxyurea, health-related quality of life domains and attitudes towards a smartphone app among Irish adolescents and young adults with sickle cell disease. Ir J Med Sci 2022; 191 (2): 809–816. doi: 10.1007/s11845-021-02588-1
Badawy SM, Thompson AA, Penedo FJ, et al. Barriers to hydroxyurea adherence and health-related quality of life in adolescents and young adults with sickle cell disease. Eur J Haematol. 2017; 98 (6): 608–614. doi: 10.1111/ejh.12878.