Literature DB >> 33973190

Clinical and Laboratory Predictors of Severity, Criticality, and Mortality in COVID-19: A Multisystem Disease.

Bahareh Gholami1,2, Samira Gholami1,3, Amir Hossein Loghman1,4, Behzad Khodaei1,2,5, Simin Seyedpour1,2,5, Nasrin Seyedpour1,5,6, Amene Saghazadeh1,7, Nima Rezaei8,9,10.   

Abstract

Coronavirus disease 2019 (COVID-19) pandemic continues devastating effects on healthcare systems. Such a crisis calls for an urgent need to develop a risk stratification tool. The present chapter aimed to identify laboratory and clinical correlates of adverse outcomes in patients with COVID-19. To this end, we conducted a systematic evaluation of studies that investigated laboratory abnormalities in patients with COVID-19 and compared i. patients with a severe form of disease and patients with a non-severe form of the disease, ii. patients who were in critical condition and patients who were not in critical condition, and iii. patients who survived and patients who died. We included 54 studies in the data synthesis. Compared to patients with a non-severe form of COVID-19, patients who had a severe form of disease revealed higher values for white blood cells (WBC), polymorphonuclear leukocytes (PMN), total bilirubin, alanine aminotransferase (ALT), creatinine, troponin, procalcitonin, lactate dehydrogenase (LDH), and D-dimer. By contrast, platelet count, lymphocyte count, and albumin levels were decreased in patients with a severe form of COVID-19. Also, patients with a severe phenotype of disease were more likely to have diabetes, chronic heart disease, chronic obstructive pulmonary disease (COPD), cerebrovascular disease, hypertension, chronic kidney disease (CKD), and malignancy. Compared to patients who survived, patients who died had higher WBC, PMN, total bilirubin, ALT, procalcitonin, IL-6, creatinine, PT, lymphocyte count, platelet count, and albumin. Also, non-survivors revealed a higher prevalence of diabetes, chronic heart disease, COPD, cerebrovascular disease, and CKD. Meta-analyses identified several laboratory parameters that might help the prediction of severe, critical, and lethal phenotypes of COVID-19. These parameters correlate with the immune system function, inflammation, coagulation, and liver and kidney function.

Entities:  

Keywords:  Biomarker; COVID-19; Clinical; D-dimer; Diagnostic; Immune system; Inflammation; Interleukin 6; Laboratory; Meta-analysis; Mortality; Prognostic; Severity; Systematic review

Mesh:

Year:  2021        PMID: 33973190     DOI: 10.1007/978-3-030-63761-3_22

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  21 in total

1.  Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

Authors:  S Duval; R Tweedie
Journal:  Biometrics       Date:  2000-06       Impact factor: 2.571

2.  Learning forestry out of the lumberyard. A training alternative for primary care.

Authors:  J E Verby; M T Schaefer; R S Voeks
Journal:  JAMA       Date:  1981-08-07       Impact factor: 56.272

Review 3.  The urgent need for integrated science to fight COVID-19 pandemic and beyond.

Authors:  Negar Moradian; Hans D Ochs; Constantine Sedikies; Michael R Hamblin; Carlos A Camargo; J Alfredo Martinez; Jacob D Biamonte; Mohammad Abdollahi; Pedro J Torres; Juan J Nieto; Shuji Ogino; John F Seymour; Ajith Abraham; Valentina Cauda; Sudhir Gupta; Seeram Ramakrishna; Frank W Sellke; Armin Sorooshian; A Wallace Hayes; Maria Martinez-Urbistondo; Manoj Gupta; Leila Azadbakht; Ahmad Esmaillzadeh; Roya Kelishadi; Alireza Esteghamati; Zahra Emam-Djomeh; Reza Majdzadeh; Partha Palit; Hamid Badali; Idupulapati Rao; Ali Akbar Saboury; L Jagan Mohan Rao; Hamid Ahmadieh; Ali Montazeri; Gian Paolo Fadini; Daniel Pauly; Sabu Thomas; Ali A Moosavi-Movahed; Asghar Aghamohammadi; Mehrdad Behmanesh; Vafa Rahimi-Movaghar; Saeid Ghavami; Roxana Mehran; Lucina Q Uddin; Matthias Von Herrath; Bahram Mobasher; Nima Rezaei
Journal:  J Transl Med       Date:  2020-05-19       Impact factor: 5.531

Review 4.  Lymphopenia in COVID-19: Therapeutic opportunities.

Authors:  Nazanin Fathi; Nima Rezaei
Journal:  Cell Biol Int       Date:  2020-06-03       Impact factor: 3.612

5.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

Review 6.  COVID-19 and Liver Dysfunction: Current Insights and Emergent Therapeutic Strategies.

Authors:  Gong Feng; Kenneth I Zheng; Qin-Qin Yan; Rafael S Rios; Giovanni Targher; Christopher D Byrne; Sven Van Poucke; Wen-Yue Liu; Ming-Hua Zheng
Journal:  J Clin Transl Hepatol       Date:  2020-03-30

Review 7.  COVID-19: Transmission, prevention, and potential therapeutic opportunities.

Authors:  Melika Lotfi; Michael R Hamblin; Nima Rezaei
Journal:  Clin Chim Acta       Date:  2020-05-29       Impact factor: 3.786

8.  COVID-19 and telemedicine: Immediate action required for maintaining healthcare providers well-being.

Authors:  Bobak Moazzami; Niloofar Razavi-Khorasani; Arash Dooghaie Moghadam; Ermia Farokhi; Nima Rezaei
Journal:  J Clin Virol       Date:  2020-04-04       Impact factor: 3.168

9.  The immune system as a target for therapy of SARS-CoV-2: A systematic review of the current immunotherapies for COVID-19.

Authors:  Amir Hossein Mansourabadi; Mona Sadeghalvad; Hamid-Reza Mohammadi-Motlagh; Nima Rezaei
Journal:  Life Sci       Date:  2020-08-01       Impact factor: 5.037

10.  Genetic predisposition models to COVID-19 infection.

Authors:  Farzaneh Darbeheshti; Nima Rezaei
Journal:  Med Hypotheses       Date:  2020-05-06       Impact factor: 1.538

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  3 in total

Review 1.  COVID-19 and liver diseases, what we know so far.

Authors:  Mohamed Elnaggar; Ahmed Abomhya; Ismail Elkhattib; Nabila Dawoud; Rajkumar Doshi
Journal:  World J Clin Cases       Date:  2022-05-06       Impact factor: 1.534

2.  Coronavirus disease 2019 presenting as psychosis: a case report.

Authors:  Nyanyuie Kodjo Lovi; Selase Kofi Kekrebesi; Mary Osei; Eugene Yeboah
Journal:  J Med Case Rep       Date:  2022-04-22

3.  Biomarkers of Inflammation among Patients with COVID-19: A Single-Centre Prospective Study from Prishtina, Kosovo.

Authors:  Hatixhe Latifi-Pupovci; Sadie Namani; Blerina Ahmetaj-Shala; Artina Pajaziti; Gramoz Bunjaku; Lindita Ajazaj Berisha; Valentin Gegaj; Afrim Kotori
Journal:  Can J Infect Dis Med Microbiol       Date:  2022-07-15       Impact factor: 2.585

  3 in total

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