Abstract
Background: COVID-19 caused by SARS-CoV-2 virus is an unprecedented global pandemic affecting more than 200 countries worldwide. Clinical and subclinical symptoms of the disease are significant in diagnosing and determining the severity of the disease. Identified prognostic factors can help clinicians in predictor of disease severity, prompt intervention, and reduce mortality.
Methods: A retrospective was conducted on 300 COVID-19 patients who were isolated and treated at the COVID-19 Intensive Care Center Unit run by Hue Central Hospital in Ho Chi Minh City.
Results: In 300 COVID-19 patients, average age 57.33±17.75; BMI 23.14+4.89; SBP 127.97±20.74 mmHg; DBP 78.4±12.11 mmHg; Inflammation of the upper respiratory tract 48.3%. Background diseases (hypertension 37.3%, diabetes 18.3%, chronic lung disease 5.3%, coronary artery disease 4.7%); severity group 53.7%, severe group 6%, moderate group 23.3%, mild group 17%; oxygen therapy on hospital admission through mask 34%, canule 4%, CPAP 5.3%, HFNC 8.7%, invasive ventilation 12%; Increase or decrease in white blood cell count 45.6%. Decrease in blood platelet count 7.7%; increased blood glucose 76%; decrease pH 17.3%; PaO2 70.1±31.66 mmHg; PaCO2 65.39±27.8 mmHg; FiO2 77.93±22.69; PaO2/FiO2 65.39±27.8. There was a difference in the number of white blood cells (<0.001), platelets (0.016), D-dimer (<0.001), ferritin (0.011), CRP (0.006), blood glucose (0.038) in the severity group compared with mild-severe grouThreshold leukocyte ≥11.6 k/μl, platelets 191 k/μl, D-dimer ≥1164 ng/ml, ferritin ≥370.73 ng/ml, CRP ≥26 mg/l, blood glucose >7.47 mmol/l for predictor of severity in COVID-19 patients.
Conclusion: Identified prognostic factors (threshold leukocyte ≥11.6 k/μl, platelets 191 k/μl, D-dimer ≥1164 ng/ml, ferritin ≥370.73 ng/ml, CRP ≥26 mg/l, blood glucose >7.47 mmol/l) can help clinicians and policy makers in tailoring management strategies for patients with COVID-19 infectious disease while researchers can utilise our findings to develop multivariable prognostic models that could eventually facilitate decision-making and improve patient important outcomes.
References
Hu Y et al. Prevalence and severity of corona virus disease
(COVID-19): A systematic review and meta-analysis.
J Clin Virol, 2020. 127: 104371.
Oke J, Heneghan C. Global COVID-19 case fatality ratesCEBM. URL https://www.cebm.net/covid-19/global-covid19-case-fatality-rates/[accessed 29 March 2020], 2020.
Izcovich A et al. Prognostic factors for severity and
mortality in patients infected with COVID-19: A systematic
review. PloS one, 2020. 15(11): e0241955.
Jin M et al., Clinical characteristics and risk factors of fatal
patients with COVID-19: a retrospective cohort study in
Wuhan, China. BMC Infectious Diseases, 2021. 21(1): 951.
Mokhtari T et al. COVID-19 and multiorgan failure: A
narrative review on potential mechanisms. J Mol Histol,
51(6): 613-628.
Lopes-Pacheco M et al. Pathogenesis of Multiple Organ
Injury in COVID-19 and Potential Therapeutic Strategies.
Frontiers in Physiology, 2021. 12.
Hướng dẫn chẩn đoán và điều trị COVID-19 do chủng vi
rút Corona mới (SARS-CoV-2) theo Quyết định 3416/QĐBYT ngày 14/7/2021. Bộ Y Tế.
Suleyman G, et al. Clinical Characteristics and Morbidity
Associated With Coronavirus Disease 2019 in a Series ofPatients in Metropolitan Detroit. JAMA Network Open,
3(6): e2012270-e2012270.
Grasselli G et al. Risk Factors Associated With Mortality
Among Patients With COVID-19 in Intensive Care Units
in Lombardy, Italy. JAMA Intern Med, 2020. 180(10):
-1355.
Grasselli G et al. Baseline Characteristics and Outcomes
of 1591 Patients Infected With SARS-CoV-2 Admitted
to ICUs of the Lombardy Region, Italy. JAMA, 2020.
(16): 1574-1581.
Kim JS et al. Immunopathogenesis and treatment of
cytokine storm in COVID-19. Theranostics, 2021. 11(1):
-329.
Delshad M et al. Platelets in the perspective of COVID19; pathophysiology of thrombocytopenia and its
implication as prognostic and therapeutic opportunity. Int
Immunopharmacol, 2021. 99: 107995.
Lagunas-Rangel F.A. Neutrophil - to - lymphocyte ratio
and lymphocyte-to-C-reactive protein ratio in patients with
severe coronavirus disease 2019 (COVID-19): A metaanalysis. J Med Virol, 2020. 92(10): 1733-1734.
Yang AP et al. The diagnostic and predictive role of
NLR, d-NLR and PLR in COVID-19 patients. Int
Immunopharmacol, 2020. 84: 106504.
Yuan J et al. The correlation between viral clearance and
biochemical outcomes of 94 COVID-19 infected discharged
patients. Inflamm Res, 2020. 69(6): 599-606.
Zhu B et al. Correlation between white blood cell count
at admission and mortality in COVID-19 patients: a
retrospective study. BMC Infectious Diseases, 2021.
(1): 574.
Anurag A, Jha PK, Kuma A. Differential white blood cell
count in the COVID-19: A cross-sectional study of 148
patients. Diabetes Metab Syndr, 2020. 14(6): 2099-2102.
Kermali M et al. The role of biomarkers in diagnosis of
COVID-19 - A systematic review. Life Sci, 2020. 254:
Liu Y et al. Association between platelet parameters and
mortality in coronavirus disease 2019: Retrospective cohort
study. Platelets, 2020. 31(4): 490-496.
Luo W et al. Circulating levels of IL-2, IL-4, TNF-α, IFN-γ,
and C-reactive protein are not associated with severity of
COVID-19 symptoms. J Med Virol, 2021. 93(1): 89-91.
Chen N et al. Epidemiological and clinical characteristics of
cases of 2019 novel coronavirus pneumonia in Wuhan,
China: a descriptive study. The Lancet, 2020. 395(10223):
-513.
Bao C et al. SARS-CoV-2 induced thrombocytopenia as an
important biomarker significantly correlated with abnormal
coagulation function, increased intravascular blood clot
risk and mortality in COVID-19 patients. Exp Hematol
Oncol, 2020. 9: 16.
Zhu Y et al. Association between thrombocytopenia and
-day prognosis of COVID-19 patients in intensive care
units: A two-center observational study. PloS one, 2021.
(3): e0248671.
Tang N Li D Wang X, Sun Z. (2020) Abnormal coagulation
parameters are associated with poor prognosis in patients
with novel coronavirus pneumonia. Journal of thrombosis
and haemostasis: JTH, 18, 844-847.
Zhang L et al. D-dimer levels on admission to predict inhospital mortality in patients with Covid-19. J Thromb
Haemost, 2020. 18(6): 1324-1329.
Huang C et al. Clinical features of patients infected with
novel coronavirus in Wuhan, China. Lancet, 2020.
(10223): 497-506.
Zhou F et al. Clinical course and risk factors for mortality
of adult inpatients with COVID-19 in Wuhan, China: a
retrospective cohort study. The Lancet, 2020. 395(10229):
-1062.
Fox SE et al. Pulmonary and Cardiac Pathology in Covid19: The First Autopsy Series from New Orleans. medRxiv,
: 2020.04.06.20050575.
Liu T et al. The potential role of IL-6 in monitoring
coronavirus disease 2019. medRxiv, 2020: 2020. 03. 01.
Ahnach M et al. C-reactive protein as an early predictor
of COVID-19 severity. Journal of medical biochemistry,
39(4): 500-507.
Ali N. Elevated level of C-reactive protein may be an early
marker to predict risk for severity of COVID-19. J Med
Virol, 2020. 92(11): 2409-2411.
Chen L et al. [Analysis of clinical features of 29 patients
with 2019 novel coronavirus pneumonia]. Zhonghua Jie He
He Hu Xi Za Zhi, 2020. 43(0): E005.
Luo X et al. Prognostic Value of C-Reactive Protein in
Patients With Coronavirus 2019. Clin Infect Dis, 2020.
(16): 2174-2179.
Logette E et al. A Machine-Generated View of the Role of
Blood Glucose Levels in the Severity of COVID-19. Front
Public Health, 2021. 9: 695139.
Bhatraju PK et al. Covid-19 in Critically Ill Patients in the
Seattle Region - Case Series. N Engl J Med, 2020. 382(21):
-2022.
Arentz M et al. Characteristics and Outcomes of 21
Critically Ill Patients With COVID-19 in Washington State.
Jama, 2020. 323(16): 1612-1614.
Cai Y et al. Fasting blood glucose level is a predictor of
mortality in patients with COVID-19 independent of
diabetes history. Diabetes research and clinical practice,
169: 108437-108437.
Group RC. Dexamethasone in hospitalized patients with
Covid-19. New England Journal of Medicine, 2021. 384(8):
-704.
Published | 05-01-2025 | |
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Issue | No. 79 (2022) | |
Section | Original article | |
DOI | 10.38103/jcmhch.79.5 | |
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