Hypoxia may be a determinative factor in COVID-19 progression

Grieb, Paweł; Świątkiewicz, Maciej; Prus, Katarzyna; Rejdak, Konrad

doi:10.1016/j.crphar.2021.100030

Cited by 21 publications

(21 citation statements)

References 63 publications

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“…This finding is supported by study findings from Italy, 76 , 83 , 84 Peru, 39 , 85 Mexico, 86 Iran and Afghanistan. 87 It is the fact that low oxygen saturation, hypoxia leads to progression of COVID-19 critical stages, 88 thus, low level of oxygen saturation could result in early death of COVID-19 patients from the alveoli damage that impairs oxygen exchange with carbon dioxide. 89 …”

Section: Discussionmentioning

confidence: 99%

Predictors of Mortality Among Hospitalized COVID-19 Patients at a Tertiary Care Hospital in Ethiopia

Ayana¹,

Merga²,

Birhanu³

et al. 2021

IDR

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Background The very unprecedented virus causing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has continued causing catastrophes in economy and loss of human lives. Despite countries’ urgent and resilient public health actions against the COVID-19 pandemic, the disease is causing a large number of deaths. However, predictors of mortality among hospitalized COVID-19 patients have not been well investigated in Ethiopia. Therefore, this study aimed to identify the predictors of mortality among hospitalized COVID-19 patients at a tertiary care hospital in Ethiopia. Methods A hospital-based retrospective cohort design study was implemented among hospitalized COVID-19 patients at a tertiary care hospital in Harar, Ethiopia from March 20 to August 20, 2021. Data of 531 admitted patients were entered using Epi-data 3.1 and exported to STATA 14.2 for analysis. Binary logistic regression was used to identify significant predictors of outcome variables with an adjusted odds ratio (AOR) with a 95% confidence interval. Results Of the total 531 study participants, 101 deaths occurred. The mortality rate was 16.2 per 1000 person-days of observation with median survival time of 44 days with IQR [28, 74]. Smoking history [AOR=2.55, 95% CI (1.15, 5.65)], alcohol history [AOR=2.3, 95% CI (1.06, 4.97)], comorbidities [AOR=2.95, 95% CI (1.26, 6.91)], and increasing oxygen saturation [AOR=0.92, 95% CI (0.89, 0.95)], and lymphocyte count [AOR=0.90, 95% CI (0.88, 0.97)] were independent significant predictors of death from Covid-19. Conclusion The incidence of mortality among hospitalized COVID-19 patients was found to be high. Devising individual, tailored management for patients with “risk” behaviors, comorbid conditions, and poor prognostic markers such as lymphopenia and low oxygen saturation, may reduce the incidence of death among hospitalized COVID-19 patients.

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Section: Discussionmentioning

confidence: 99%

Predictors of Mortality Among Hospitalized COVID-19 Patients at a Tertiary Care Hospital in Ethiopia

Ayana¹,

Merga²,

Birhanu³

et al. 2021

IDR

View full text Add to dashboard Cite

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“…In the extreme case, RMFFS has selected the (O 2 Saturation, CRP) pair of features in all 10 iterations of the 10-fold CV. Hypoxia (Low O 2 Saturation on ABG) and higher abnormal levels of CRP have been reported to be associated with poor prognosis of COVID-19 disease and are shown to be correlated with higher mortality rates [ [90] , [91] , [92] , [93] , [94] , [95] ]. In addition, the frequency of each individual feature, that is found in Fig.…”

Section: Resultsmentioning

confidence: 99%

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods

Saberi-Movahed

Mohammadifard

Mehrpooya

et al. 2022

Computers in Biology and Medicine

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“…Interestingly, the lipid levels in patients with COPD changed and compared with the healthy population, but it was similar to patients with COVID-19. In addition, hypoxia is a common characteristic of patients that can change the metabolism ( Grieb et al, 2021 ; Palm and Ekström, 2021 ). Hence, the patients were artificially ventilated, a procedure that can cause intraoperative complications but also can remit glycolysis or further metabolic reprogramming.…”

Section: Discussionmentioning

confidence: 99%

Altered Lipid Profile in COVID-19 Patients and Metabolic Reprogramming

et al. 2022

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BackgroundCoronavirus disease 2019 (COVID-19) is a global pandemic. Previous studies have reported dyslipidemia in patients with COVID-19. Herein, we conducted a retrospective study and a bioinformatics analysis to evaluate the essential data of the lipid profile as well as the possible mechanism in patients with COVID-19.MethodsFirst of all, the retrospective study included three cohorts: patients with COVID-19, a healthy population, and patients with chronic obstructive pulmonary disease (COPD). For each subject, serum lipid profiles in the biochemical data were compared, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). Furthermore, bioinformatics analyses were performed for exploring the biological or immunological mechanisms.ResultsIn line with the biochemical data of the three cohorts, the statistical result displayed that patients with COVID-19 were more likely to have lower levels of TC and HDL-C as compared with healthy individuals. The differential proteins associated with COVID-19 are involved in the lipid pathway and can target and regulate cytokines and immune cells. Additionally, a heatmap revealed that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections were possibly involved in lipid metabolic reprogramming. The viral proteins, such as spike (S) and non-structural protein 2 (Nsp2) of SARS-CoV-2, may be involved in metabolic reprogramming.ConclusionThe metabolic reprogramming after SARS-CoV-2 infections is probably associated with the immune and clinical phenotype of patients. Hence, metabolic reprogramming may be targeted for developing antivirals against COVID-19.

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Hypoxia may be a determinative factor in COVID-19 progression

Cited by 21 publications

References 63 publications

Predictors of Mortality Among Hospitalized COVID-19 Patients at a Tertiary Care Hospital in Ethiopia

Predictors of Mortality Among Hospitalized COVID-19 Patients at a Tertiary Care Hospital in Ethiopia

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods

Altered Lipid Profile in COVID-19 Patients and Metabolic Reprogramming

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