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aimba Kargbo,3 Andrew Clarke,4,5 Sherry Bangura,6 Mariatu Kargbo,6 Hawa Mariama Sesay,7 Abdul H Kamara,6 Jamil Bangura,6 Alie F Kamara,6 Sophie Allieu,1 Hassan Rogers,1 Maurizio Mattei,8 Vittorio Colizzi,9 Carla Montesano,8 Edwin JJ Momoh1,31Department of Public Health, Microbiology and Immunology, Ernest Bai Koroma University of Science and Technology, Makeni, Sierra Leone; 2 34th Military Hospital, The Republic of Sierra Leone Armed Forces, Freetown, Sierra Leone; 3Department of Agriculture and Food Security; Ernest Bai Koroma University of Science and Technology, Makeni, Sierra Leone; 4Global Programs Division, Save the Children UK, London, UK; 5Department/Division of Health Research, Lancaster University, Lancaster, UK; 6Sierra Leone Association of Ebola Survivors, Freetown, Sierra Leone; 7Department of Public Health, University of Makeni, Makeni, Sierra Leone; 8Department of Biology, University of Rome Tor Vergata, Rome, Italy; 9Department of Sciences and Technology, Evangelical University of Cameroon, Bandjoun, Cameroon*These authors contributed equally to this workCorrespondence: Raoul Emeric Guetiya Wadoum; Edwin JJ Momoh, Email [email protected] ; [email protected] ; [email protected] Background: The clinical management of persistent medical conditions affecting Ebola survivors, generally described as a post-Ebola syndrome, remains a public health concern. We aimed to analyze Ebola survivors' laboratory biomarkers as compared to their non-infected household relatives to identify biomarkers that could guide the identification of survivors at increased risk of developing severe at odds with the non-severe post-Ebola syndrome. Materials and Methods: Data were extracted from medical records of the Ebola survivors clinic, and we included only Ebola survivor's parameters recorded during the first baseline follow-up visit 2 weeks interval after their second negative PCR result. Moreover, household non-infected family contacts of survivors visiting the clinic during the same period were recruited as community control. Results: The mean age of survivors was 32.65 (IQR: 15.5, 38.25) years, and Ebola IgG immunoglobulin was detected in all, thus confirming their status. The statistical significance (all p < 0.05) observed in monocyte percentage (MONO%), cluster of differentiation 4 percentage (CD4%), alanine aminotransferase (ALT), creatinine (CREA), and creatinine kinase (C-kinase) proved to be clinically significant as compared to the household relatives' group. Interestingly, the linear regression analysis indicated that the duration at ETU was negatively associated with lymphocyte percentage with a 5% lymphocyte decrease per day spent at ETU. Finally, there was a significant (p < 0.05) association between hematological (Hb, PCV, MCV, MCH), biochemical (ALT, CREA, C-kinase, T-cholesterol, triglycerides) parameters and the risk of developing severe complications. Conclusion: We recommend clinicians closely monitor Hb, PCV, MCV, MCH, ALT, CREA, C-kinase, T-cholesterol, triglycerides and lymphocytes as clinically relevant laboratory biomarkers to identify survivors at higher risk of developing severe post-acute syndrome upon discharge from Ebola treatment unit including headache, abdominal pain, chest pain, ocular complication, arthralgia, hearing difficulty and erectile dysfunction which can impact health-related quality of life among Ebola survivors. [ABSTRACT FROM AUTHOR] |
