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Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks.
Asteris, Panagiotis G; Gavriilaki, Eleni; Touloumenidou, Tasoula; Koravou, Evaggelia-Evdoxia; Koutra, Maria; Papayanni, Penelope Georgia; Pouleres, Alexandros; Karali, Vassiliki; Lemonis, Minas E; Mamou, Anna; Skentou, Athanasia D; Papalexandri, Apostolia; Varelas, Christos; Chatzopoulou, Fani; Chatzidimitriou, Maria; Chatzidimitriou, Dimitrios; Veleni, Anastasia; Rapti, Evdoxia; Kioumis, Ioannis; Kaimakamis, Evaggelos; Bitzani, Milly; Boumpas, Dimitrios; Tsantes, Argyris; Sotiropoulos, Damianos; Papadopoulou, Anastasia; Kalantzis, Ioannis G; Vallianatou, Lydia A; Armaghani, Danial J; Cavaleri, Liborio; Gandomi, Amir H; Hajihassani, Mohsen; Hasanipanah, Mahdi; Koopialipoor, Mohammadreza; Lourenço, Paulo B; Samui, Pijush; Zhou, Jian; Sakellari, Ioanna; Valsami, Serena; Politou, Marianna; Kokoris, Styliani; Anagnostopoulos, Achilles.
Afiliación
  • Asteris PG; Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Athens, Greece.
  • Gavriilaki E; Hematology Department, BMT Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Touloumenidou T; Hematology Department, BMT Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Koravou EE; Hematology Department, BMT Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Koutra M; Hematology Department, BMT Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Papayanni PG; Hematology Department, BMT Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Pouleres A; Biomedical Laboratories, Athens, Greece.
  • Karali V; Rheumatology and Clinical Immunology Unit, University General Hospital 'Attikon', Athens, Greece.
  • Lemonis ME; Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Athens, Greece.
  • Mamou A; Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Athens, Greece.
  • Skentou AD; Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Athens, Greece.
  • Papalexandri A; Hematology Department, BMT Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Varelas C; Hematology Department, BMT Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Chatzopoulou F; Microbiology Department, Aristotle University of Thessaloniki, Greece.
  • Chatzidimitriou M; Biomedical Sciences Alexander Campus International Hellenic University, Thessaloniki, Greece.
  • Chatzidimitriou D; Microbiology Department, Aristotle University of Thessaloniki, Greece.
  • Veleni A; Infectious Disease Committee, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Rapti E; Laboratory of Hematology and Hospital Blood Transfusion Department, University General Hospital 'Attikon', NKUA, Medical School, Athens, Greece.
  • Kioumis I; Respiratory Failure Department, G Papanicolaou Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  • Kaimakamis E; 1st Intensive Care Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Bitzani M; 1st Intensive Care Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Boumpas D; Rheumatology and Clinical Immunology Unit, University General Hospital 'Attikon', Athens, Greece.
  • Tsantes A; Laboratory of Hematology and Hospital Blood Transfusion Department, University General Hospital 'Attikon', NKUA, Medical School, Athens, Greece.
  • Sotiropoulos D; Hematology Department, BMT Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Papadopoulou A; Hematology Department, BMT Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Kalantzis IG; Gastroenterology Department, Hellenic Red Cross Hospital, Athens, Greece.
  • Vallianatou LA; Cath and EP Laboratory/Covid Intensive Care Unit, Hellenic Red Cross Hospital, Athens, Greece.
  • Armaghani DJ; Department of Civil Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.
  • Cavaleri L; Department of Civil, Environmental, Aerospace and Materials Engineering, University of Palermo, Palermo, Italy.
  • Gandomi AH; Faculty of Engineering & Information Technology, University of Technology Sydney, Ultimo, NSW, Australia.
  • Hajihassani M; Department of Mining Engineering, Faculty of Engineering, Urmia University, Urmia, Iran.
  • Hasanipanah M; Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.
  • Koopialipoor M; Faculty of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran.
  • Lourenço PB; Department of Civil Engineering, ISISE, University of Minho, Guimarães, Portugal.
  • Samui P; Department of Civil Engineering, National Institute of Technology Patna, Patna, Bihar, India.
  • Zhou J; School of Resources and Safety Engineering, Central South University, Changsha, China.
  • Sakellari I; Hematology Department, BMT Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
  • Valsami S; Hematology Laboratory - Blood Bank, Aretaieion Hospital, School of Medicine, NKUA, Athens, Greece.
  • Politou M; Hematology Laboratory - Blood Bank, Aretaieion Hospital, School of Medicine, NKUA, Athens, Greece.
  • Kokoris S; Laboratory of Hematology and Hospital Blood Transfusion Department, University General Hospital 'Attikon', NKUA, Medical School, Athens, Greece.
  • Anagnostopoulos A; Hematology Department, BMT Unit, G Papanicolaou Hospital, Thessaloniki, Greece.
J Cell Mol Med ; 26(5): 1445-1455, 2022 03.
Article en En | MEDLINE | ID: mdl-35064759
There is an unmet need of models for early prediction of morbidity and mortality of Coronavirus disease-19 (COVID-19). We aimed to a) identify complement-related genetic variants associated with the clinical outcomes of ICU hospitalization and death, b) develop an artificial neural network (ANN) predicting these outcomes and c) validate whether complement-related variants are associated with an impaired complement phenotype. We prospectively recruited consecutive adult patients of Caucasian origin, hospitalized due to COVID-19. Through targeted next-generation sequencing, we identified variants in complement factor H/CFH, CFB, CFH-related, CFD, CD55, C3, C5, CFI, CD46, thrombomodulin/THBD, and A Disintegrin and Metalloproteinase with Thrombospondin motifs (ADAMTS13). Among 381 variants in 133 patients, we identified 5 critical variants associated with severe COVID-19: rs2547438 (C3), rs2250656 (C3), rs1042580 (THBD), rs800292 (CFH) and rs414628 (CFHR1). Using age, gender and presence or absence of each variant, we developed an ANN predicting morbidity and mortality in 89.47% of the examined population. Furthermore, THBD and C3a levels were significantly increased in severe COVID-19 patients and those harbouring relevant variants. Thus, we reveal for the first time an ANN accurately predicting ICU hospitalization and death in COVID-19 patients, based on genetic variants in complement genes, age and gender. Importantly, we confirm that genetic dysregulation is associated with impaired complement phenotype.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: J Cell Mol Med Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: J Cell Mol Med Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Reino Unido