| Literature DB >> 34960696 |
Weronika Gryczyńska1, Nikita Litvinov1, Bezawit Bitew1,2, Zuzanna Bartosz1, Weronika Kośmider1, Paweł Bogdański3, Damian Skrypnik3.
Abstract
Currently, the world is facing two serious pandemics: obesity and COVID-19. It is well-established that the prevalence of obesity has risen dramatically, causing a deterioration in the health quality of the population and increasing susceptibility for the unfavourable course of acute infections. It has been observed that excess body mass significantly influences the COVID-19 outcome. The aim of this review is to present the latest scientific reports on the impact of excess body mass on the course and complications of COVID-19. The Web of Science, PubMed, and Google Scholar databases were searched. Only studies reporting patients stated to be COVID-19 positive based on the results of a nasopharyngeal swab and the ribonucleic acid test were included. It is shown that thromboembolic and ischemic complications, namely stroke, disseminated intravascular coagulation, severe hyperglycaemia, and leukoencephalopathy are more likely to appear in COVID-19 positive patients with obesity compared to non-obese subjects. COVID-19 complications such as cardiomyopathy, dysrhythmias, endothelial dysfunction, acute kidney injury, dyslipidaemia, lung lesions and acute respiratory distress syndrome have a worse outcome among obese patients.Entities:
Keywords: SARS-CoV-2; excess body mass; metabolic syndrome; obesity; physiopathology; severity of COVID-19
Mesh:
Year: 2021 PMID: 34960696 PMCID: PMC8708912 DOI: 10.3390/v13122427
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.818
Summary of cardiovascular complications of COVID-19 in patients with obesity.
| Complication | Methodology | Result | Citation |
|---|---|---|---|
| Cardiomyopathy | A comparative analysis done on obese and non-obese patients. The subject pool consisted of 357 hospitalised patients, from which 340 patients with confirmed, severe COVID-19 and 85 were obese. | The effect of obesity on the severity of COVID-19, including critical COVID-19. | [ |
| Data from Korean National Health Insurance Service, including 28,679,891 people that didn’t show prevalent hypertrophic cardiomyopathy. | 28,679,891 people that didn’t show prev An association was confirmed between body mass index (BMI) and prevalence of clinical hypertrophic cardiomyopathy. | [ | |
| In vitro, NHBE cells from non-obese (BMI | cardiomyopathy The underlying mechanism for increased severity of COVID-19 complications in obese individuals might be attributed to dysregulated lipogenesis and high ACE2. | [ | |
| A search using PubMed and Google Scholar. The authors used keywords like to refine the search “COVID-19”, “SARS-CoV-2”, “myocardial injury”, “myocarditis”, “acute myocardial infraction”, “dysrhythmia”, “arrhythmia”, “heart failure”, “venous thromboembolism”, “coagulable”. | COVID-19 infections did lead to cardiovascular complications. Even though obese subjects were included in the study, a clear distinction between the complications and obesity was not made. | [ | |
| Two cases of Takotsubo cardiomyopathy were examined. In both cases, the subjects were postmenopausal women. | During the COVID-19 pandemic, an increased incidence of stress cardiomyopathy has been reported. | [ | |
| Analyses of other researches and a complete summary of the latest studies on cardiovascular complications arising from SARS-CoV-2 infection. | COVID-19 medications may increase the risk of cardiac complications. Physicians should be aware of this fact. | [ | |
| Dysrhythmias | Retrospective case study of 138 patients hospitalized at Zhongnan Hospital of Wuhan University in Wuhan, China, from 1 January to 28 January 2020; final date of follow-up was 3 February 2020. | A significant number, 41%, of the subjects received ICU care during the hospitalization while 4.3% of the subjects ended in death. | [ |
| Thromboembolic complications | Blood was drawn from 40 critically ill COVID-19 patients and ROTEM was performed. | A hypercoagulable state due to severe hypofibrinolysis. | [ |
| A study on 388 patients with laboratory-proven COVID-19 admitted to a university hospital in Milan, Italy. From 361 subjects, 39.8% had a BMI of 25–30 kg/m2 and 24.1% had a BMI of higher or equal to 30 kg/m2. | Outcomes were categorized as primary and secondary. The former included any thromboembolic complication, including venous thromboembolism, ischemic stroke, and acute coronary syndrome/myocardial infarction, while the latter included overt disseminated intravascular coagulation (DIC). | [ | |
| A total of 9330 participants were divided into BMI quartiles at baseline. | Without the use of oral anticoagulants, it was shown that the 4th quartile as compared to other BMI quartiles had a significant increase of TEE. | [ | |
| Disseminated intravascular coagulation | A total of 88 patients with HFRS. Patients were stratified to groups with intravascular coagulation (n = 27) and patients that did not have intravascular coagulation. Extracellular vesicle tissue factor activity and other factors were measured. | Patients with intravascular coagulation had significantly higher peak extracellular vesicle tissue factor activity levels compared with those without intravascular coagulation. | [ |
| Ischemic complication | The study reviewed multiple researches aiming to summarise the current status of research on COVID19, hypercoagulability and ischemic stroke. | Injury of endothelial cells was a direct result of the cytokine storm caused bySARS-CoV-2 invasion. Stroke seen in COVID-19 patient is a result of hypoxia caused by the infection. | [ |
| In this study, the subjects were 166,586 ischemic stroke controls and 2086 ischemic stroke-COVID from 312 hospitals in 46 states. | Increased morbidity and mortality is attributed to ischemic stroke in COVID-19 patients. This result was compared to patients from 2019 with ischemic stroke and pneumonia. | [ |
Summary of respiratory complications of COVID-19 in patients with obesity.
| Complication | Methodology | Result | Citation |
|---|---|---|---|
| Requirement for invasive mechanical ventilation | Retrospective cohort study analyzed results of 124 patients admitted in ICU patients for SARS-CoV-2. | 75.7% ICU patients had a BMI > kg·m−2. | [ |
| A total of 242 patients with COVID-19 developed ARDS. | The median BMI among patients with ARDS admitted to the ICU was 27.7 kg/m2. | [ | |
| Changes in chest computer tomography | Clinical results of 95 patients with COVID-19. | Patients with obesity had a higher percentage of changes in CT examination. | [ |
| Increased susceptibility to COVID-19 | The study reviewed multiple researches argue that adipocytes and adipocyte-like cells play a role in pathogenic response to SARS-CoV-2. | Obesity and diabetes are potential comorbidities for COVID-19 infections, due to upregulated in adipocytes expression of ACE2. | [ |
| The study reviewed multiple researches illustrated the role of obesity in COVID-19 | Obesity increases the susceptibility to COVID-19 and promotes the progression to respiratory failure. | [ | |
| Influence of obstructive sleep apnoea | An analysis of patients receiving mechanical ventilation with respiratory failure as a result of COVID-19. | Imparied lung function caused by sleep apnoea increases the risk of severe respiratory failure. | [ |
Summary of renal complications of COVID-19 in patients with obesity.
| Complication | Methodology | Result | Citation |
|---|---|---|---|
| Acute kidney injury | A total of 1603 Patients with a confirmed COVID-19 infection, the main related conditions on admission were obesity (20.3%), diabetes (15.2%) and hypertension (35.7%). | A total of 11.4% of the patients developed AKI during their hospital admission. The mortality rate in this group is higher than the worldwide. | [ |
| A total of 1019 SARS-CoV-2 positive adults with 75.2% prevalence of obesity and overweight. | Patients with obesity demonstrated higher rates of developing acute kidney injury, shock, intubation and hemodialysis. | [ | |
| A total of 327 patients hospitalised with confirmed COVID-19, commonly observed comorbid conditions on the admission were obesity (34.6%), diabetes (42.5%), hypertension (63.9%) and hyperlipidaemia (34.9%). | Significantly higher mortality in patients with AKI. | [ | |
| 3694 of patients dying with COVID-19(411 presented obesity) in Italy were reviewed to extract information. | Obesity was associated with increased probability of experiencing acute renal failure and shock. | [ | |
| Renal impairment | A population-based cohort study of of COVID-19 related patients with diagnosed diabetes. | Increased mortality was associated with renal impairment of diabetes, higher BMI and glycaemic control. | [ |
Summary of metabolic complications of COVID-19 in patients with obesity.
| Complication | Methodology | Result | Citation |
|---|---|---|---|
| Diabetes | A total of 95 patients with COVID-19 were divided into the obesity group and non-obesity group based on their BMI. | In obesity group, blood glucose was higher than non-obesity one. | [ |
| A total of 453 patients with laboratory-confirmed COVID-19 infection were classified into four categories: normal glucose, hyperglycemia, newly diagnosed diabetes, diabetes. | Mean BMI of 129 patients with hyperglycemia was 24.4 kg/m2. | [ | |
| Mean BMI of 94 patients with newly diagnosed diabetes was 24.5 kg/m2. | [ | ||
| A total of 166 COVID-19 patients were divided into three groups: control, secondary hyperglycemia with no diabetes history and patients with diabetes. | Gradual increasing trend of BMI values among these groups. | [ | |
| The multivariate stepwise binary logistic analysis was used to test the dose-response effect of FBG levels on the risk of severe and critical conditions in COVID-19 patients. | Significantly higher fasting blood glucose (FBG) occured in severe and critical patients was associated with BMI. | [ | |
| The prospective study investigated clinical results of 64 patients without diabetes diagnosed with COVID-19. | COVID-19 may increase the risk of insulin resistance in overweight patients without diabetes. | [ | |
| Dyslipidemia | Associations between obesity traits, quantitative cardiometabolic parameters and SARS-CoV-2 positivity in the UK Biobank cohort. | Casual relationships between BMI, LDL cholesterol and susceptibility to SARS-CoV-2 infection. | [ |
| Investigation of 489,769 patients with COVID-19. | Obese patients had lower HDL-cholesterol, higher LDL and higher triglycerides compared to normal weight patients. Obese patients were at higher risk of developing severe COVID-19. | [ | |
| Analysis of clinical results of 95 patients with COVID-19 were divided into the obesity group and non-obesity group based on their BMI. | Elevated triglycerides and LDL cholesterol in obese patients compared to non-obesity patients. | [ | |
| Analysis of clinical results of 230 COVID-19 patients were divided according to their body-mass index (BMI) into three groups: normal weight, overweight, and obese. | Higher serum triglycerides, serum cholesterol and lower HDL in a group of patients with obesity compared to the normal-weight group. | [ | |
| Mean BMI of severe and critical condition COVID-19 patients was higher than mild and moderate states. | A significantly lower HDL levels in severe or critical patients. | [ | |
| Retrospective analysis changes in lipid profiles and relationships with severity of disease in 216 COVID-19 patients. | Dyslipidemia is associated with the poor prognosis od COVID-19. | [ |