Next Article in Journal
Effects of Pre-Donated Autologous Blood Transfusion on Peri-Operative Hemoglobin Concentration and Mid-Term Health Outcomes in Primary Total Knee Arthroplasty
Previous Article in Journal
Corneal Confocal Microscopy Identifies People with Type 1 Diabetes with More Rapid Corneal Nerve Fibre Loss and Progression of Neuropathy
Previous Article in Special Issue
Sudden Cardiac Death Risk over Time in HCM Patients with Implantable Cardioverter-Defibrillator
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JCM
Volume 11
Issue 8
10.3390/jcm11082250
jcm-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Impact of Cardiovascular Risk Factors on the Course of COVID-19

by
Katarzyna Wilk-Sledziewska
1,
Piotr Jan Sielatycki
1,
Natalia Uscinska
1,
Elżbieta Bujno
1,
Mariusz Rosolowski
1,
Katarzyna Kakareko
2,
Rafal Sledziewski
3,
Alicja Rydzewska-Rosolowska
2,
Tomasz Hryszko
2 and
Edyta Zbroch
1,*
1
Department of Internal Medicine and Hypertension, Medical University of Bialystok, 15-540 Bialystok, Poland
2
2nd Department of Nephrology and Hypertension with Dialysis Unit, Medical University of Bialystok, 15-276 Bialystok, Poland
3
Department of Radiology, Medical University of Bialystok, 15-276 Bialystok, Poland
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(8), 2250; https://0-doi-org.brum.beds.ac.uk/10.3390/jcm11082250
Submission received: 19 March 2022 / Revised: 7 April 2022 / Accepted: 13 April 2022 / Published: 18 April 2022
(This article belongs to the Special Issue The Risk Factors of Cardiovascular Diseases)
Browse Figure
Versions Notes

Abstract

:
Aim of the study: The aim of our review is to indicate and discuss the impact of cardiovascular risk factors, such as obesity, diabetes, lipid profile, hypertension and smoking on the course and mortality of COVID-19 infection. Background: The coronavirus disease 2019 (COVID-19) pandemic is spreading around the world and becoming a major public health crisis. All coronaviruses are known to affect the cardiovascular system. There is a strong correlation between cardiovascular risk factors and severe clinical complications, including death in COVID-19 patients. All the above-mentioned risk factors are widespread and constitute a significant worldwide health problem. Some of them are modifiable and the awareness of their connection with the COVID-19 progress may have a crucial impact on the current and possible upcoming infection. Data collection: We searched for research papers describing the impact of selected cardiovascular risk factors on the course, severity, complications and mortality of COVID-19 infection form PubMed and Google Scholar databases. Using terms, for example: “COVID-19 cardiovascular disease mortality”, “COVID-19 hypertension/diabetes mellitus/obesity/dyslipidemia”, “cardiovascular risk factors COVID-19 mortality” and other related terms listed in each subtitle. The publications were selected according to the time of their publications between January 2020 and December 2021. From the PubMed database we obtain 1552 results. Further studies were sought by manually searching reference lists of the relevant articles. Relevant articles were selected based on their title, abstract or full text. Articles were excluded if they were clearly related to another subject matter or were not published in English. The types of articles are mainly randomized controlled trial and systematic review. An additional criterion used by researchers was co-morbidities and age of patients in study groups. From a review of the publications, 105 of them were selected for this work with all subheadings included. Findings and Results: The intention of this review was to summarize current knowledge about comorbidities and development of COVID-19 infection. We tried to focus on the course and mortality of the abovementioned virus disease in patients with concomitant CV risk factors. Unfortunately, we were unable to assess the quality of data in screened papers and studies we choose because of the heterogenicity of the groups. The conducted studies had different endpoints and included different groups of patients in terms of nationality, age, race and clinical status. We decide to divide the main subjects of the research into separately described subtitles such as obesity, lipid profile, hypertension, diabetes, smoking. We believe that the studies we included and gathered are very interesting and show modern and present-day clinical data and approaches to COVID-19 infection in specific divisions of patients.

1. Introduction

The coronavirus disease 2019 pandemic is spreading around the world and becoming a major public health crisis. All coronaviruses are known to affect the cardiovascular system. There is a strong correlation between cardiovascular risk factors and severe clinical complications including death in COVID-19 patients (Figure 1).
Diversified lifestyle, access to health care and prophylaxis, and an aging society contribute to the increasing number of patients suffering from civilization diseases such as obesity, hypertension, hyperlipidemia and diabetes. The presence of those comorbidities may deteriorate the course of COVID-19 infection.
Obesity was significantly associated with a higher in-hospital mortality as well as older age and male sex. Obese patients, <60 years old with Body Mass Index (BMI) ≥ 35 are 3.6 times more likely to be admitted to acute and critical care units, compared to patients with normal BMI in the same age [1].
Hyperlipidemia itself, as well as its treatment, contributes to the course of COVID-19 infection in a different way [2].
Hypertension is one of the most common and major cardiovascular risk factors. Worldwide, 1.33 billion people have elevated blood pressure. Chinese scientists who were the pioneers facing the COVID-19 infection indicated the connection between hypertension and higher risk of a severe course of COVID-19, including death [3].
Type 2 diabetes, especially with poorly controlled blood glucose, was found to be related to greater risk of acute respiratory distress syndrome (ARDS) development [4].
As coronavirus mostly affects the lungs, it is understandable that smoking, current and past, may be involved in the progress of COVID-19 [5].
The review aims to discuss the impact of mentioned cardiovascular risk factors on the course of coronavirus 2019 infection. They are widespread and constitute a significant worldwide health problem. Some of them are modifiable and the awareness of their connection with COVID-19 progress may have a crucial impact on the current and possible upcoming infection.

2. Obesity

2.1. Methods

We searched PubMed and Google Scholar databases, using the terms, “COVID-19 obesity”, “COVID-19 mortality obesity patients” as well as keywords such as “cardiovascular risk factors”, “obesity risk infections”. Further studies were sought by manually searching reference lists of the relevant articles. Relevant articles were selected based on their title, abstract or full text. Articles were excluded if they were clearly related to another subject matter or were not published in English. Out of 163 publications, we selected 20 for this subtitle.

2.2. Findings

Obesity, defined as BMI over 30 kg/m2 is associated with various disorders such as cardiovascular diseases, insulin resistance, type 2 diabetes mellitus, obstructive sleep apnea and some cancers [6,7]. It affects the immune response [8], endothelium imbalance [9], release of cytokines [10] and promotes chronic systemic inflammation [11]. All these features contribute to a worse course of infectious disease, prolonged hospitalization and worse outcomes in obese patients [12,13,14]. Therefore COVID-19 patients with obesity require particular attention.
In a study of 10,544 COVID-19 population, patients with a BMI of 30–40 kg/m2 had an increased risk for hospitalization and clinical deterioration compared to patients with a BMI below 30 kg/m2 [15]. In another study considering the COVID-19 infection, obesity together with age ≥ 52 years was strongly associated with illness severity [16]. Obesity was also shown as a high-risk factor for middle aged adult in a 3615 patients study. The authors suggested that obese patients aged between 52 and 60 years were more exposed to increased morbidity rates compared to patients > 60 years old [1]. What is more interesting, is there are studies that have reported the relation between poor prognosis of obese COVID-19 patients and gender. In a study by Cai Q et al. [17], the increased disease severity was correlated with the male sex. Similarly, Chiumello D. [18] found strong association between acute respiratory distress and male sex in overweight/obese patients. In contrast, a study of 32,583 patients indicated higher odds ratios in females than males. The authors suggested that females with obesity, diabetes and hypertension are more susceptible to COVID-19 and have a higher odds ratio for a severe COVID-19 course [19].
Obese patients more often demonstrated a cough and fever as initial symptoms, compared to normal weight patients [17]. Interestingly, in a small clinical study it was found that the increased area of visceral adipose tissue (measured at the level of the first lumbar vertebra on chest computed tomography) and upper abdominal circumference were associated with a higher probability of intensive care unit treatment or mechanical ventilation (adjusted for age and sex) [20]. There is also a strong association between a high BMI and mortality among the COVID-19 population. In a cohort of 20,133 cases, Docherty et al. [21] proved that obesity was significantly associated with a higher in-hospital mortality as well as older age, male sex and comorbidities such as chronic cardiac disease, chronic pulmonary disease, chronic kidney disease and liver disease. Further data from a Mexican study with 4103 COVID-19 cases showed a significant increase in hospitalization and mortality rate in patients with obesity [22]. Likewise, numerous clinical studies confirm the influence of obesity on outcomes of SARS-CoV-2 infection [23,24].

3. Lipid Profile

3.1. Methods

We choose 19 from 59 publications, found in PubMed, using keywords: “lipid profile and COVID-19 infections”, “hyperlipidemia/dyslipidemia and COVID-19”, “statins COVID”. The works we used are mainly relevant reviews, original publications and the literature they contain. Non-English articles were excluded.

3.2. Findings

The lipid profile plays a key role in viral infection. The cholesterol membrane was found as an important component for pathogenic viruses entering host cells [25]. Hao Wang et al. [26] indicated that a high level of cholesterol in the cellular membranes of tissue enhanced the entry of the virus. The authors suggested that high cellular cholesterol indicates SARS-CoV-2 infectivity. The average cellular cholesterol level in the lung increases with age, thereby the number of viral entry points rises. When cholesterol is low, as in children, there are only a few entry points. In chronically ill patients, where the cellular cholesterol level is high (mostly due to age and chronic inflammation), all the angiotensin I converting enzyme 2 (ACE2) receptors are positioned for viral infectivity. However, blood sample analysis did not correlate with cholesterol levels in the tissue cell membranes. This is because the chronic inflammatory process prompts the inhibition of cholesterol efflux proteins in the peripheral tissue. In a study with infectious bronchitis coronavirus, it was demonstrated that reduction of cholesterol prevented the binding of coronavirus with the host cells [27]. In another study with porcine deltacoronavirus, the authors observed the pharmacological reduction of cellular or viral cholesterol might block virus attachment and internalization [28]. On the other hand, a clinical study in China showed lower serum lipid levels (total cholesterol, HDL-cholesterol and LDL-cholesterol) in patients with COVID-19 infection compared to healthy controls. It was noticed that cholesterol level continued to drop during the first few days of infection and then gradually rose. The authors suggested the lipid changes might be related to viral–host cell fusion and entry, and thus may indirectly indicate the effectiveness of the COVID-19 treatment regimens [29].
There is evidence suggesting statins influence the course of COVID-19 infection, which could be useful in treatment. Statins are cholesterol-lowering drugs that possess beneficial effects such as anti-thrombotic, immunomodulatory and anti-inflammatory functions [30]. As a result of controlling cytokine overexpression and modulating immune responses, statins may prevent ARDS and may reduce the incidence of cardiovascular complications in COVID-19 patients [31,32]. Statin treatment may block viral infectivity through inhibition of glycoprotein processing [33]. The SARS-CoV-2 main protease (Mpro), a key coronavirus enzyme, has been examined as a potential protein target to prevent infection expansion [34]. Željko Reiner et al. [2] indicated that statins could be SARS-CoV-2 Mpro inhibitors and may block entry of the virus into host cells.
There is also data indicating statins’ ability to upregulate ACE2 signaling pathways, which could mitigate the invasion of SARS-CoV-2 through the ACE2 receptor [35]. A high level of ACE2 in pulmonary endothelium was associated with reduced severity of ARDS [36]. Moreover, statins might counteract SARS-CoV-2-induced endothelitis in lungs by promoting endothelial repair and accelerate recovery from ARDS in COVID-19 patients [37,38]. Statins, through their anti-inflammatory effects, protect from the occurrence of plaque rupture and, therefore, reduce the risk of myocarditis and cardiac injury in COVID-19 patients [39,40].
Retrospective data showed a positive impact of statin use on mortality and in-hospital outcomes in the COVID-19 population. In a retrospective study of 2147 patients with COVID-19, the multivariate Cox model showed, after adjusting for age, gender, comorbidities, in-hospital medications and blood lipids, lower risk of mortality, acute respiratory distress syndrome or intensive care unit treatment in the statin group vs. the non-statin group [41]. Another study of 13,981 patients with COVID-19, among which 1219 received statins 28-day all-cause mortality was significantly lower than in the non-statin group [42]. On the other hand, in a meta-analysis of retrospective observational studies investigating the impact of previous statin use in COVID-19 patients, no significant reductions in either in-hospital mortality or COVID-19 severity were reported among statin users. However, such reductions were found after adjusting for confounding risk factors [43].

4. Hypertension

4.1. Methods

Twenty-six publications were used from 829 results found in the PubMed database, we used keywords such as: “risk factors COVID-19 mortality”, “hypertension COVID-19 mortality”, “renin-angiotensin system COVID-19 mortality”, “angiotensin-converting enzyme COVID-19”.
We searched for more articles by manually searching reference lists of relevant articles. Relevant articles were selected based on their title, abstract or full text. As in the previous sections, non-English works were rejected.

4.2. Findings

Hypertension is one of the most common and major cardiovascular risk factors. Worldwide, 1.33 billion people (upwards of 1 in 4 men and 1 in 5 women) have been diagnosed as hypertensive [44].
Hypertension was also found as the most common comorbidity in patients with COVID-19 [45,46]. According to a retrospective study consisting of 487 COVID-19 patients in the Zhejiang Province of China, the prevalence of hypertension was higher in the 49 severe cases than in the 438 mild cases (53.1% vs. 16.7%, p < 0.0001) [3].
Since the coronavirus pandemic outbreak, many theories have emerged linking hypertension therapy together with COVID-19 infection. After initially hypothesizing a positive relationship between a use of renin–angiotensin–aldosterone system (RAAS) inhibitors and risk of coronavirus disease 2019, more recent evidence suggests negative associations [47,48]. There is no clear evidence that RAAS antagonists lead to up-regulation of ACE2 in human tissues [49,50,51].
The BRACE CORONA trial [52] showed no significant difference in the mean number of days alive and out of the hospital for those assigned to discontinue vs. continue angiotensin-converting enzyme inhibitors (ACEI) or angiotensin II receptor blockers (ARB) during COVID-19 infection. Those findings do not support routinely discontinuing ACEI or ARB among patients hospitalized with mild to moderate COVID-19 if there is an indication for the treatment.
The HFSA (Heart Failure Society of America), ACC (American College of Cardiology) and AHA (American Heart Association) recommended the continuation of ACEI/ARB drugs for those patients who were currently treated with such agents [50]. This statement was supported by studies which indicated the beneficial influence of RAAS antagonists. In an observation of 3017 patients with COVID-19, 1584 (52.5%) suffered from hypertension [51]. The mortality rate was lower among patients who were treated with ACEI (27%) or ARB (23%) compared to other antihypertensive drugs (39%) [51]. Similar findings were indicated in a multicenter clinical study, where 511 patients with COVID-19 and hypertension were included [53]. The studied population was divided into six groups: ACEI, ARB, CCB (calcium channel blockers), BB (beta-blockers), thiazide or none, depending on the medications taken. The treatment with ARB before hospitalization was found to reduce the risk of a severe course of the COVID-19 disease [53].
Patients with COVID-19 were often accompanied by electrolyte disturbances, due to SARS-CoV-2 binding to angiotensin I converting enzyme 2 and causing prevalent hypokalemia [54]. Therefore, the effect of ACEI/ARB on the potassium concentration may have a beneficial effect in these patients. Further, a few data showed that treatment with calcium channel blockers, widely used in hypertension patients, has a good effect on the course of COVID-19 infection [55]. Authors reported CCB can inhibit the replication of SARS-CoV-2 in vitro. They observed that taking amlodipine significantly reduced the death rate among COVID-19 patients. The results of this study are very promising but require further careful research.
Apart from the effects of antihypertensive drugs, the influence of hypertension itself on the course of COVID-19 was repeatedly observed. Yingyu Chen et al. [56] carried out the meta-analyses showing that COVID-19 patients with hypertension had higher mortality risk (OR = 2.3–95% CI (1.76, 3.00), p < 0.01). Similarly, Bo Li et al. [57] indicated a high blood pressure as a significant risk factor of a severe course of COVID-19. The incidents of hypertension were two folds higher in severe cases/ICU (intensive care unit) than in non-severe cases/ICU. Analogously, a meta-analysis on 1527 COVID-19 patients reported higher incidences of cardiovascular disease (three-fold), hypertension (two-fold) and diabetes (two-fold) among those who required intensive care unit admission compared to non-ICU patients [57]. Also, the hypertensive patients were more likely to develop ARDS (25). The study of 476 COVID-19 patients from three Chinese hospitals accentuated that the incidence of cardiovascular comorbidities, including hypertension was higher in those with severe and critical manifestations compared to those with a moderate clinical symptom [58]. Another meta-analysis indicated high blood pressure as one of the major comorbidities, which increased the risk of death from COVID-19 [59]. Wang B et al. [60] confirmed the higher risk of disease exacerbation in patients with hypertension. Interestingly, a notably higher risk was observed in patients under the age of 65 with hypertension, diabetes, cardiovascular diseases and cancer. The authors did not show a negative effect of taking antihypertensive drugs on COVID-19 infections.
It was also indicated that the immune system did not function properly in high blood pressure and SARS-CoV2 infection [61,62]. Jong-Chan Youn et al. [63] demonstrated concomitant lymphocyte CD8+ dysfunction in patients with hypertension. Therefore, lymphocytes were unable to effectively fight viral infection. For this reason, blood pressure should be properly controlled using pharmacotherapy. A very interesting analysis was also conducted among 287 black patients [64]. Researchers examined the association between hypertension, obesity and diabetes, individually and clustered as metabolic syndrome and COVID-19 outcomes in patients hospitalized during the peak of the pandemic. Only metabolic syndrome was associated with mortality, but not hypertension itself.
On the other hand, another analysis [65] showed no clear strong evidence of hypertension as an independent risk factor of COVID-19 and the authors did not suggest a deleterious effect of ACEI/ARB in COVID-19 infection. Similarly, in a multicenter retrospective Italian CORIST Study (the COVID-19 RISK and Treatments Collaboration) [66] authors evaluated a cohort comprising 3894 patients with COVID-19 in 30 clinical centers. Half of them had hypertension. It turned out that hypertension was not associated with increased in-hospital mortality as opposed to history of or active cancer, chronic degenerative diseases, previous myocardial infarction and obesity. Furthermore, among women with hypertension and patients hospitalized during the second wave of the pandemic, the mortality was even lower.
Despite various conclusions concerning both the hypertension itself and drugs used in hypertension, this cardiovascular risk factor has a significant impact on COVID-19 course but further studies are needed.
In the COVID-19 era, the challenge is to achieve a target blood pressure control in a “New Normal” lifestyle, in which health care workers may have a reduced opportunity for in-person clinical examination of patients. The remote blood pressure monitoring system using telemedicine was introduced in achieving target levels.
We summarized several studies concerning hypotensive treatment in COVID-19 infection in Table 1.

5. Diabetes

5.1. Methods

Thirty publications from 484 findings in PubMed database publications were chosen. We used only two terms: “COVID-19 diabetes mellitus”, “COVID-19 diabetes treatment”. We mostly searched for more articles by manually searching reference lists of relevant articles. Relevant articles were selected based on their title, abstract, full text and connections to the main topic of this paper. As in the previous sections, non-English works were rejected.

5.2. Findings

Recent studies reported diabetes mellitus as a risk factor for increased COVID-19 disease severity and higher mortality. Potential mechanisms underlying worse outcomes in diabetic COVID-19 patients include chronic inflammation, impaired immune response, increased coagulation activity and potential direct pancreatic damage by SARS-CoV-2 [67]. The diabetic population is particularly more susceptible to bacterial, parasitic and viral infections [68]. SARS-CoV-2 infection leads to increased reactive oxygen species (ROS) production [69,70,71], activation of the renin–angiotensin–aldosterone system, which together may cause insulin resistance, hyperglycemia and vascular endothelial damage [72,73]. It was shown that hyperglycemia is an independent predictor of morbidity and mortality in patients with severe acute respiratory syndrome (SARS) [74]. Recent research also proved impaired glucose metabolism and hyperglycemia may increase SARS-CoV-2 replication [75], which leads to a severe course of infection, frequent hospitalizations and increased mortality [76,77,78]. In a multicenter retrospective study of COVID-19 patients who were not previously diagnosed with diabetes, it was shown that high fasting glucose level (≥7.0 mmol/L, 126 mg/dL) at admission was an independent predictor of increased 28-day mortality. Therefore, it is important to treat hyperglycemia in patients with severe states of COVID-19 [79].
Zhu et al. [4] in a study of 7300 individuals with COVID-19 revealed significantly higher mortality risk in patients with type 2 diabetes, especially those with poorly controlled blood glucose. Another study showed that diabetes was significantly associated with elevated risk of a severe course of the disease [80] and the development of ARDS [75,76,77,78]. Xu et al. [81] reported that comorbidity with diabetes was an important independent risk factor predicting acute kidney injury among COVID-19 patients. In Onder’s study [82], from 355 deceased patients, 126 patients had diabetes (35.5%). Glucose-lowering treatment was also shown to influence the prognosis of COVID-19.
Commonly used dipeptidyl peptidase 4 inhibitors (DPP4i) not only decrease blood level of glucose but also played a role in the immune system as a marker of activated T lymphocytes and a regulator of the chemokines expression [83,84], which may lead to increased infection risk. In a study of 305,415 diabetic patients, it was shown that those using DPP4i inhibitors were more susceptible for upper respiratory tract infections [85]. In a retrospective, observational cohort study of 717 patients, DPP4i treatment was associated with higher risk of ICU admission [86].
However, evidence from further clinical trials does not confirm the above theory [87].
Although DPP4 might bind to SARS-CoV-2 similarly to ACE2 [88], the role of DPP4 inhibitors in SARS-CoV2 infection is entirely unclear. In an in vitro study, treatment with DPP4 inhibitors such as sitagliptin, vildagliptin or saxagliptin did not block the entry of coronaviruses into cells [89]. In a retrospective case–control study, sitagliptin treatment was associated with reduced mortality, better clinical outcomes and a greater number of hospital discharges [90]. On the other hand, Fadini et al. [91] in a study of patients with diabetes mellitus hospitalized due to COVID-19 pneumonia and with pneumonia of other etiology showed that use of DPP4 inhibitors had no protective properties against the coronavirus. Therefore, further prospective randomized clinical trials are needed to investigate the role of DPP4 inhibitors in patients with diabetes mellitus and COVID-19.
Glucagon-like peptide 1 (GLP1) receptor stimulation influence immune function and inflammatory processes [92,93]. GLP1 analogues in patients with type 2 diabetes reduced the rate of major adverse cardiac events [94].
In a study of 2449 diabetic patients, metformin users were compared with non-users. In the results, metformin treatment was associated with a lower risk of death in patients hospitalized for COVID-19 [95].
Interestingly, Cariou B. et al. [96] noticed a correlation between routine statin treatment and increased mortality in diabetic patients hospitalized for COVID-19.
SGLT-2 inhibitors (Sodium-glucose Cotransporter-2 Inhibitors) might afford additional vital organ protection in the settings of COVID-19. High hopes were placed on SGLT-2 inhibitors. In DARE-19 (Dapagliflozin in Respiratory Failure in Patients with COVID-19), a phase-3 multi-national double-blind placebo-controlled randomized trial, 1250 patients (with or without diabetes) were enrolled. Those groups were randomized 1:1 to placebo or dapagliflozin group. The results indicated dapagliflozin did not significantly reduce organ dysfunction or death, or improve recovery compared with placebo among noncritically ill hospitalized patients with COVID-19 [97].
The COVID-19 pandemic is driving significant changes in the healthcare system and disrupting current best practices for diabetic limb preservation, leaving large numbers of patients without adequate care. Some authors support triage systems that help reduce hospital visits for non-fatal wounds, allocating patients with less severe problems to office visits or even telemedical care and remote monitoring. Calling on people to stay at home will most likely reduce the amount of physical exercise compared to usual daily routine. Patients with COVID-19 should furthermore be re-educated in recognize and handle diabetic ketoacidosis since infection is one of its most frequent triggers. Telemedicine and other innovative strategies could be a reasonable approach to mitigate the problem of uncontrolled diabetes at least partly.

6. Smoking

6.1. Methods

Six publications were used searching through various databases (as above PubMed, in which we found 17 results using keyword “COVID-19 tobacco smoking”) and using the Google search engine, we manually found the most interesting works based on the title, abstract, the entire text and content suitability of a study or paper, for this subtitle. As in the previous sections, non-English works were rejected.

6.2. Findings

Cigarette smoking is a well-known cardiovascular risk factor. Many analyses, systematic reviews and observational studies showed the relationship between smoking and the course of COVID-19. Firstly, tobacco smoking was shown to increase the risk of coronavirus infection itself, because it promoted coughing, sneezing and the virus-containing aerosol was transmitted to people and surfaces. Meta-analysis of previously published works indicated current and past smoking leads to a severe clinical form of COVID-19, more frequent intensive care unit admission and death [96].
In a study of 1099 Chinese COVID-19 patients, 16% of smokers required hospitalization in intensive care units or died, compared to 5% of patients who never smoked [97]. In another study, Liu et al. [98] reported smokers were more likely to have severe symptoms, worse course of the disease and the need for mechanical ventilation. Within two weeks of hospitalization, 27% of smokers worsened, compared to 3% of non-smokers. The mortality rate was also higher among cigarettes users. A very interesting hypothesis is that exposure to nicotine may increase the risk of neuroinfection in COVID-19 through the interaction with the receptor ACE2 [99].
Nevertheless, the low prevalence of smokers among COVID-19 hospitalized patients was partly because many smokers were misclassified as nonsmokers [100]. Some patients may still have the false impression that smoking is protective against COVID-19 [101].

7. Conclusions

COVID-19 clinical presentation is heterogeneous, ranging from asymptomatic to severe cases. It is associated with a severe disease course in about 23% of cases and mortality in about 6% of infected persons [102]. On the other hand, it leads to changes in the phenotype of cardiovascular patients, which makes new clinical challenges and possible therapeutic options [103].
In recent months, many studies have been published specifying the influence of various factors and comorbidities on the course of COVID-19. Some of them are even contradictory. Therefore, the specific factor that can lead to disease progression in COVID-19 patients still remains unknown, the specific correlation between comorbidity and patients with COVID-19 continues to be unclear and needs further research.

Author Contributions

Writing—review and editing, K.W.-S., P.J.S., N.U., E.B., R.S. and E.Z.; visualization, P.J.S., M.R. and R.S.; supervision, E.Z., A.R.-R. and T.H.; project administration, E.Z., T.H. and K.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lighter, J.; Phillips, M.; Hochman, S.; Sterling, S.; Johnson, D.; Francois, F.; Stachel, A. Obesity in Patients Younger Than 60 Years Is a Risk Factor for COVID-19 Hospital Admission. Clin. Infect. Dis. 2020, 71, 896–897. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Reiner, Ž.; Hatamipour, M.; Banach, M. Statins and the COVID-19 main protease: In silico evidence on direct interaction. Arch. Med. Sci. 2020, 16, 490–496. [Google Scholar] [CrossRef] [PubMed]
  3. Shi, Y.; Yu, X.; Zhao, H.; Wang, H.; Zhao, R.; Sheng, J. Host susceptibility to severe COVID-19 and establishment of a host risk score: Findings of 487 cases outside Wuhan. Crit. Care 2020, 24, 108. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Zhu, L.; She, Z.G.; Cheng, X.; Qin, J.J.; Zhang, X.J.; Cai, J.; Lei, F.; Wang, H.; Xie, J.; Wang, W.; et al. Association of blood glucose control and outcomes in patients with COVID-19 and pre-existing type 2 diabetes. Cell Metab. 2020, 31, 1068–1077. [Google Scholar] [CrossRef]
  5. Jiménez-Ruiz, C.A.; López-Padilla, D.; Alonso-Arroyo, A.; Aleixandre-Benavent, R.; Solano-Reina, S.; de Granda-Orive, J.I. COVID-19 and Smoking: A Systematic Review and Meta-Analysis of the Evidence. Arch. Bronconeumol. 2020, 57, 21–34. [Google Scholar] [CrossRef]
  6. Hotamisligil, G.S. Inflammation, metaflammation and immunometabolic disorders. Nature 2017, 542, 177–185. [Google Scholar] [CrossRef]
  7. Donohoe, C.L.; Lysaght, J.; O’Sullivan, J.; Reynolds, J.V. Emerging Concepts Linking Obesity with the Hallmarks of Cancer. Trends Endocrinol. Metab. 2017, 28, 46–62. [Google Scholar] [CrossRef]
  8. McLaughlin, T.; Ackerman, S.E.; Shen, L.; Engleman, E. Role of innate and adaptive immunity in obesity-associated metabolic disease. J. Clin. Investig. 2017, 127, 5–13. [Google Scholar] [CrossRef] [Green Version]
  9. Poirier, P.; Giles, T.D.; Bray, G.A.; Hong, Y.; Stern, J.S.; Pi-Sunyer, F.X.; Eckel, R.H. Obesity and cardiovascular disease: Pathophysiology, evaluation, and effect of weight loss: An update of the 1997 American Heart Association Scientific Statement on Obesity and Heart Disease from the Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism. American Heart Association., Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism. Circulation 2006, 113, 898–918. [Google Scholar]
  10. Febbraio, M.A. Role of interleukins in obesity: Implications for metabolic disease. Trends Endocrinol. Metab. 2014, 25, 312–319. [Google Scholar] [CrossRef]
  11. Reilly, S.M.; Saltiel, A.R. Adapting to obesity with adipose tissue inflammation. Nat. Rev. Endocrinol. 2017, 13, 633–643. [Google Scholar] [CrossRef] [PubMed]
  12. Honce, R.; Schultz-Cherry, S. Impact of Obesity on Influenza A Virus Pathogenesis, Immune Response, and Evolution. Front. Immunol. 2019, 10, 1071. [Google Scholar] [CrossRef] [PubMed]
  13. Huttunen, R.; Syrjänen, J. Obesity and the risk and outcome of infection. Int. J. Obes. 2013, 37, 333–340. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Ghilotti, F.; Bellocco, R.; Ye, W.; Adami, H.O.; Trolle Lagerros, Y. Obesity and risk of infections: Results from men and women in the Swedish National March Cohort. Int. J. Epidemiol. 2019, 48, 1783–1794. [Google Scholar] [CrossRef]
  15. Petrilli, C.M.; Jones, S.A.; Yang, J.; Rajagopalan, H.; O’Donnell, L.; Chernyak, Y.; Tobin, K.A.; Cerfolio, R.J.; Francois, F.; Horwitz, L.I. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: Prospective cohort study. BMJ 2020, 369, m1966. [Google Scholar] [CrossRef]
  16. Ebinger, J.E.; Achamallah, N.; Ji, H.; Claggett, B.L.; Sun, N.; Botting, P.; Nguyen, T.T.; Luong, E.; Kim, E.H.; Park, E.; et al. Pre-existing traits associated with Covid-19 illness severity. PLoS ONE 2020, 15, e0236240. [Google Scholar] [CrossRef]
  17. Cai, Q.; Chen, F.; Wang, T.; Luo, F.; Liu, X.; Wu, Q.; He, Q.; Wang, Z.; Liu, Y.; Liu, L.; et al. Obesity and COVID-19 Severity in a Designated Hospital in Shenzhen, China. Diabetes Care 2020, 43, 1392–1398. [Google Scholar] [CrossRef]
  18. Chiumello, D.; Pozzi, T.; Storti, E.; Caccioppola, A.; Pontiroli, A.E.; Coppola, S. Body mass index and acute respiratory distress severity in patients with and without SARS-CoV-2 infection. Br. J. Anaesth. 2020, 125, e376–e377. [Google Scholar] [CrossRef]
  19. Hernández-Garduño, E. Obesity is the comorbidity more strongly associated for Covid-19 in Mexico. A case-control study. Obes. Res. Clin. Pract. 2020, 14, 375–379. [Google Scholar] [CrossRef]
  20. Petersen, A.; Bressem, K.; Albrecht, J.; Thieß, H.M.; Vahldiek, J.; Hamm, B.; Makowski, M.R.; Niehues, A.; Niehues, S.M.; Adams, L.C. The role of visceral adiposity in the severity of COVID-19: Highlights from a unicenter cross-sectional pilot study in Germany. Metabolism 2020, 110, 154317. [Google Scholar] [CrossRef]
  21. Docherty, A.B.; Harrison, E.M.; Green, C.A.; Hardwick, H.E.; Pius, R.; Norman, L.; Holden, K.A.; Read, J.M.; Dondelinger, F.; Carson, G.; et al. Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: Prospective observational cohort study. BMJ 2020, 369, m1985. [Google Scholar] [CrossRef] [PubMed]
  22. Carrillo-Vega, M.F.; Salinas-Escudero, G.; García-Peña, C.; Gutiérrez-Robledo, L.M.; Parra-Rodríguez, L. Early estimation of the risk factors for hospitalization and mortality by COVID-19 in Mexico. PLoS ONE 2020, 15, e0238905. [Google Scholar] [CrossRef] [PubMed]
  23. Hussain, A.; Mahawar, K.; Xia, Z.; Yang, W.; El-Hasani, S. Obesity and mortality of COVID-19. Meta-analysis. Obes. Res. Clin. Pract. 2021, 14, 295–300. [Google Scholar] [CrossRef] [PubMed]
  24. Ho, J.S.Y.; Fernando, D.I.; Chan, M.Y.; Sia, C.H. Obesity in COVID-19: A Systematic Review and Meta-analysis. Ann. Acad. Med. Singap. 2020, 49, 996–1008. [Google Scholar] [CrossRef]
  25. Meher, G.; Bhattacharjya, S.; Chakraborty, H. Membrane Cholesterol Modulates Oligomeric Status and Peptide-Membrane Interaction of Severe Acute Respiratory Syndrome Coronavirus Fusion Peptide. J. Phys. Chem. B 2019, 123, 10654–10662. [Google Scholar] [CrossRef]
  26. Wang, H.; Yuan, Z.; Pavel, M.A.; Hansen, S.B. The role of high cholesterol in age-related COVID19 lethality. BioRxiv 2020, 29, 086249. [Google Scholar]
  27. Guo, H.; Huang, M.; Yuan, Q. The important role of lipid raft-mediated attachment in the infection of cultured cells by coronavirus infectious bronchitis virus beaudette strain. PLoS ONE 2017, 12, e0170123. [Google Scholar] [CrossRef] [Green Version]
  28. Jeon, J.H.; Lee, C. Cholesterol is important for the entry process of porcine deltacoronavirus. Arch. Virol. 2018, 163, 3119–3124. [Google Scholar] [CrossRef] [Green Version]
  29. Hu, X.; Chen, D.; Wu, L.; He, G.; Ye, W. Low Serum Cholesterol Level Among Patients with COVID-19 Infection in Wenzhou, China. SSRN Electron. J. 2020; under review. [Google Scholar] [CrossRef]
  30. Piechota, M.; Barylski, M.; Hannam, S.; Piechota-Urbańska, M.; Banach, M.C. Review Rationale of statin therapy in septic patients. Urr. Vasc. Pharmacol. 2013, 11, 795–800. [Google Scholar] [CrossRef]
  31. Liberale, L.; Carbone, F.; Montecucco, F.; Sahebkar, A. Statins reduce vascular inflammation in atherogenesis: A review of underlying molecular mechanisms. Int. J. Biochem. Cell Biol. 2020, 122, 795–800. [Google Scholar] [CrossRef] [PubMed]
  32. Chruściel, P.; Sahebkar, A.; Rembek-Wieliczko, M. Impact of statin therapy on plasma adiponectin concentrations: A systematic review and meta-analysis of 43 randomized controlled trial arms. Atherosclerosis 2016, 253, 194–208. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Shrivastava-Ranjan, P.; Flint, M.; Bergeron, É.; McElroy, A.K.; Chatterjee, P.; Albariño, C.G.; Nichol, S.T.; Spiropoulou, C.F. Statins suppress Ebola virus infectivity by interfering with glycoprotein processing. MBio 2018, 9, e00660-18. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Liu, X.; Zhang, B.; Jin, Z.; Yang, H.; Rao, Z. The Crytal Structure of 2019-NCoV Main Protease in Complex with an Inhibitor N3. RCSB Protein Data Bank. 2020. Available online: https://www.wwpdb.org/pdb?id=pdb_00006lu7 (accessed on 5 May 2020).
  35. Tikoo, K.; Patel, G.; Kumar, S.; Karpe, P.A.; Sanghavi, M.; Malek, V. Tissue specific up regulation of ACE2 in rabbit model of atherosclerosis by atorvastatin: Role of epigenetic histone modifications. Biochem. Pharmacol. 2015, 93, 343–351. [Google Scholar] [CrossRef]
  36. Wösten-van Asperen, R.M.; Bos, A.P.; Bem, R.A.; Dierdorp, B.S.; Dekker, T.; van Goor, H. Imbalance between pulmonary angiotensin-converting enzyme and angiotensin-converting enzyme 2 activity in acute respiratory distress syndrome. Pediatr. Crit. Care Med. 2013, 14, e438. [Google Scholar] [CrossRef]
  37. Varga, Z.; Flammer, A.J.; Steiger, P.; Haberecker, M.; Andermatt, R.; Zinkernagel, A.S. Endothelial cell infection and endotheliitis in COVID-19. Lancet 2020, 395, 1417–1418. [Google Scholar] [CrossRef]
  38. Ackermann, M.; Verleden, S.E.; Kuehnel, M.; Haverich, A.; Welte, T.; Laenger, F. Pulmonary vascular endothelialitis, thrombosis, and angiogenesis in COVID-19. N. Engl. J. Med. 2020, 383, 120–128. [Google Scholar] [CrossRef]
  39. Radenkovic, D.; Chawla, S.; Pirro, M.; Sahebkar, A.; Banach, M. Cholesterol in relation to COVID-19: Should we care about it? J. Clin. Med. 2020, 9, 1909. [Google Scholar] [CrossRef]
  40. Madjid, M.; Safavi-Naeini, P.; Solomon, S.D.; Vardeny, O. Potential effects of coronaviruses on the cardiovascular system: A review. JAMA Cardiol. 2020, 5, 831–840. [Google Scholar] [CrossRef] [Green Version]
  41. Fan, Y.; Guo, T.; Yan, F.; Gong, M.; Zhang, X.A.; Li, C.; He, T.; Luo, H.; Zhang, L.; Chen, M.; et al. Association of Statin Use With the In-Hospital Outcomes of 2019-Coronavirus Disease Patients: A Retrospective Study. Front. Med. 2020, 7, 584870. [Google Scholar] [CrossRef]
  42. Zhang, X.-J.; Qin, J.-J.; Cheng, X. In-Hospital Use of Statins Is Associated with a Reduced Risk of Mortality among Individuals with COVID-19. Cell Metab. 2020, 32, 176–187. [Google Scholar] [CrossRef] [PubMed]
  43. André J Scheen, Statins and clinical outcomes with COVID-19: Meta-analyses of observational studies. Diabetes Metab. 2020, 23, 101220. [CrossRef]
  44. World Health Organization. Available online: https://www.who.int (accessed on 5 May 2020).
  45. Zhou, F.; Yu, T.; Du, R.; Fan, G.; Liu, Y.; Liu, Z.; Xiang, J.; Wang, Y.; Song, B.; Gu, X.; et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. Lancet 2020, 395, 1054–1062. [Google Scholar] [CrossRef]
  46. Grasselli, G.; Zangrillo, A.; Zanella, A.; Antonelli, M.; Cabrini, L.; Castelli, A.; Cereda, D.; Coluccello, A.; Foti, G.; Fumagalli, R.; et al. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy Region, Italy. JAMA 2020, 323, 1574–1581. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Xu, J.; Huang, C.; Fan, G.; Liu, Z.; Shang, L.; Zhou, F.; Wang, Y.; Yu, J.; Yang, L.; Xie, K.; et al. Use of angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers in context of COVID-19 outbreak: A retrospective analysis. Front. Med. 2020, 14, 601–612. [Google Scholar] [CrossRef]
  48. Ssentongo, A.E.; Ssentongo, P.; Heilbrunn, E.S.; Lekoubou, A.; Du, P.; Liao, D.; Oh, J.S.; Chinchilli, V.M. Renin-angiotensin-aldosterone system inhibitors and mortality in patients with hypertension hospitalized for COVID-19: A systematic review and meta-analysis. medRxiv 2020, 7, e001353. [Google Scholar]
  49. Danser, A.H.J.; Epstein, M.; Batlle, D. Renin-Angiotensin System Blockers and the COVID-19 Pandemic: At Present There Is No Evidence to Abandon Renin-Angiotensin System Blockers. Hypertension 2020, 75, 1382–1385. [Google Scholar] [CrossRef] [Green Version]
  50. HFSA; ACC; AHA. Statement Addresses Concerns Re: Using, RAAS. Antagonists in COVID-19. ACC News Story, 17 March 2020. Available online: https://www.acc.org/latest-in-cardiology/articles/2020/03/17/08/59/hfsa-acc-aha-statement-addresses-concerns-re-using-raas-antagonists-in-covid-19 (accessed on 5 May 2020).
  51. Ip, A.; Parikh, K.; Parrillo, J.E.; Mathura, S.; Hansen, E.; Sawczuk, I.S.; Goldberg, S.L. Hypertension and renin–angiotensin–aldosterone system inhibitors in patients with COVID-19. medRxiv 2020. [Google Scholar] [CrossRef]
  52. Lopes, R.D.; Macedo, A.V.S.; de Barros ESilva, P.G.M.; Moll-Bernardes, R.J.; Dos Santos, T.M.; Mazza, L.; Feldman, A.; D’Andréa Saba Arruda, G.; de Albuquerque, D.C.; Camiletti, A.S.; et al. Effect of discontinuing vs continuing angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers on days alive and out of the hospital in patients admitted with COVID-19: A randomized clinical trial. JAMA 2021, 325, 254–264. [Google Scholar] [CrossRef]
  53. Liu, Y.; Huang, F.; Xu, J.; Yang, P.; Qin, Y. Anti-hypertensive Angiotensin II receptor blockers associated to mitigation of disease severity in elderly COVID-19 patients. medRxiv 2020. [Google Scholar] [CrossRef]
  54. Chen, D.J.; Li, X.; Song, P.S.; Hu, C.J.; Su, F.; Dai, J. Hypokalemia and clinical implications in patients with coronavirus disease 2019 (COVID-19). medRxiv 2020. [Google Scholar] [CrossRef]
  55. Zhang, L.; Sun, Y.; Zeng, H.; Peng, Y.; Jiang, X. Calcium channel blocker amlodipine besylate is associated with reduced case fatality rate of COVID-19 patients with hypertension. medRxiv 2020. [Google Scholar] [CrossRef] [PubMed]
  56. Chen, Y.; Gong, X.; Wang, L.; Guo, J. Effects of hypertension, diabetes and coronary heart disease on COVID-19 diseases severity: A systematic review and meta-analysis. medRxiv 2020. [Google Scholar] [CrossRef]
  57. Li, B.; Yang, J.; Zhao, F.; Zhi, L.; Wang, X.; Liu, L.; Bi, Z.; Zhao, Y. Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China. Clin. Res. Cardiol. 2020, 109, 531–538. [Google Scholar] [CrossRef] [PubMed]
  58. Feng, Y.; Ling, Y.; Bai, T.; Xie, Y.; Huang, J.; Li, J.; Xiong, W.; Yang, D.; Chen, R.; Lu, F.; et al. COVID-19 with different severity: A multi-center study of clinical features. Am. J. Respir. Crit. Care Med. 2020; epub ahead of print. [Google Scholar] [CrossRef]
  59. Ssentongo, P.; Ssentongo, A.E.; Heilbrunn, E.S.; Ba, D.M.; Chinchilli, V.M. Association of cardiovascular disease and 10 other pre-existing comorbidities with COVID-19 mortality: A systematic review and meta-analysis. PLoS ONE 2020, 15, e0238215. [Google Scholar] [CrossRef]
  60. Wang, B.; Li, R.; Lu, Z.; Huang, Y. Does comorbidity increase the risk of patients with COVID-19: Evidence from meta-analysis. Aging 2020, 12, 6049–6057. [Google Scholar] [CrossRef]
  61. Drummond, G.R.; Vinh, A.; Guzik, T.J.; Sobey, C.G. Immune mechanisms of hypertension. Nat. Rev. Immunol. 2019, 19, 517–532. [Google Scholar] [CrossRef]
  62. Loperena, R.; Van Beusecum, J.P.; Itani, H.A.; Engel, N.; Laroumanie, F.; Xiao, L.; Elijovich, F.; Laffer, C.L.; Gnecco, J.S.; Noonan, J.; et al. Hypertension and increased endothelial mechanical stretch promote monocyte differentiation and activation: Roles of STAT3, interleukin 6 and hydrogen peroxide. Cardiovasc. Res. 2018, 114, 1547–1563. [Google Scholar] [CrossRef]
  63. Youn, J.C.; Yu, H.T.; Lim, B.J.; Koh, M.J.; Lee, J.; Chang, D.Y.; Choi, Y.S.; Lee, S.H.; Kang, S.M.; Jang, Y.; et al. Immunosenescent CD8+ T cells and C-X-C chemokine receptor type 3 chemokines are increased in human hypertension. Hypertension 2013, 62, 126–133. [Google Scholar] [CrossRef] [Green Version]
  64. Xie, J.; Zu, Y.; Alkhatib, A.; Pham, T.T.; Gill, F.; Jang, A.; Radosta, S.; Chaaya, G.; Myers, L.; Zifodya, J.S.; et al. Metabolic Syndrome and COVID-19 Mortality Among Adult Black Patients in New Orleans. Diabetes Care 2020, 44, 188–193. [Google Scholar] [CrossRef] [PubMed]
  65. Kreutz, R.; Algharably, E.A.E.; Azizi, M.; Dobrowolski, P.; Guzik, T.; Januszewicz, A.; Persu, A.; Prejbisz, A.; Riemer, T.G.; Wang, J.G.; et al. Hypertension, the renin-angiotensin system, and the risk of lower respiratory tract infections and lung injury: Implications for COVID-19. Cardiovasc. Res. 2020, 116, 1688–1699. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Di Castelnuovo, A.; Bonaccio, M.; Costanzo, S.; Gialluisi, A.; Antinori, A.; Berselli, N.; Blandi, L.; Bruno, R.; Cauda, R.; COVID-19 RISk and Treatments (CORIST) Collaboration; et al. Common cardiovascular risk factors and in-hospital mortality in 3, 894 patients with COVID-19: Survival analysis and machine learning-based findings from the multicentre Italian, CORIST Study. Nutr. Metab. Cardiovasc. Dis. 2020, 30, 1899–1913. [Google Scholar] [CrossRef] [PubMed]
  67. Van Crevel, R.; van de Vijver, S.; Moore, D.A.J. The global diabetes epidemic: What does it mean for infectious diseases in tropical countries? Lancet Diabetes Endocrinol. 2017, 5, 457–468. [Google Scholar] [CrossRef]
  68. Hodgson, K.; Morris, J.; Bridson, T.; Govan, B.; Rush, C.; Ketheesan, N. Immunological mechanisms contributing to the double burden of diabetes and intracellular bacterial infections. Immunology 2015, 144, 171–185. [Google Scholar] [CrossRef] [PubMed]
  69. Teuwen, L.A.; Geldhof, V.; Pasut, A.; Carmeliet, P. COVID-19: The vasculature unleashed. Nat. Rev. Immunol. 2020, 20, 389–391. [Google Scholar] [CrossRef] [PubMed]
  70. Imai, Y.; Kuba, K.; Neely, G.G.; Yaghubian-Malhami, R.; Perkmann, T.; van Loo, G.; Ermolaeva, M.; Veldhuizen, R.; Leung, Y.C.; Wang, H.; et al. Identification of oxidative stress and Toll-like receptor 4 signaling as a key pathway of acute lung injury. Cell 2008, 133, 235–249. [Google Scholar] [CrossRef]
  71. Chen, I.Y.; Moriyama, M.; Chang, M.F.; Ichinohe, T. Severe acute respiratory syndrome coronavirus viroporin 3a activates the NLRP3 inflammasome. Front. Microbiol. 2009, 10, 50. [Google Scholar] [CrossRef] [Green Version]
  72. Luther, J.M.; Brown, N.J. The renin-angiotensin-aldosterone system and glucose homeostasis. Trends. Pharmacol. Sci. 2011, 32, 734–739. [Google Scholar] [CrossRef] [Green Version]
  73. Kuba, K.; Imai, Y.; Rao, S.; Gao, H.; Guo, F.; Guan, B.; Huan, Y.; Yang, P.; Zhang, Y.; Deng, W.; et al. A crucial role of angiotensin converting enzyme 2 (ACE2) in SARS coronavirus-induced lung injury. Nat. Med. 2005, 11, 875–879. [Google Scholar] [CrossRef]
  74. Yang, J.K.; Feng, Y.; Yuan, M.Y.; Yuan, S.Y.; Fu, H.J.; Wu, B.Y.; Sun, G.Z.; Yang, G.R.; Zhang, X.L.; Wang, L.; et al. Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS. Diabet 2006, 23, 623–628. [Google Scholar] [CrossRef] [PubMed]
  75. Codo, A.C.; Davanzo, G.G.; de Brito Monteiro, L.; de Souza, G.F.; Muraro, S.P.; Virgilio-da-Silva, J.V.; Prodonoff, J.S.; Carregari, V.C.; de Biagi Junior, C.A.; Crunfli, F.; et al. Elevated glucose levels favor SARS-CoV-2 infection and monocyte response through a HIF-1α/glycolysis-dependent axis. Cell Metab. 2005, 32, 437–446.e5. [Google Scholar] [CrossRef] [PubMed]
  76. Carey, I.M.; Critchley, J.A.; DeWilde, S.; Harris, T.; Hosking, F.J.; Cook, D.G. Risk of infection in type 1 and type 2 diabetes compared with the general population: A matched cohort study. Diabetes Care 2018, 41, 513–521. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Critchley, J.A.; Carey, I.M.; Harris, T.; DeWilde, S.; Hosking, F.J.; Cook, D.G. Glycemic control and risk of infections among people with type 1 or type 2 diabetes in a large primary care cohort study. Diabetes Care 2018, 41, 2127–2135. [Google Scholar] [CrossRef] [Green Version]
  78. Wu, C.; Chen, X.; Cai, Y.; Zhou, X.; Xu, S.; Huang, H.; Zhang, L.; Zhou, X.; Du, C.; Zhang, Y.; et al. Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Intern. Med. 2020, 180, 934–943. [Google Scholar] [CrossRef] [Green Version]
  79. Wang, S.; Ma, P.; Zhang, S.; Song, S.; Wang, Z.; Ma, Y.; Xu, J.; Wu, F.; Duan, L.; Yin, Z.; et al. Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: A multi-centre retrospective study. Diabetologia 2020, 63, 2102–2111. [Google Scholar] [CrossRef]
  80. Fadini, G.P.; Morieri, M.L.; Longato, E.; Avogaro, A. Prevalence and impact of diabetes among people infected with SARS-CoV2. J. Endocrinol. Investig. 2020, 43, 867–879. [Google Scholar] [CrossRef] [Green Version]
  81. Xu, S.; Fu, L.; Fei, J.; Xiang, H.-X.; Xiang, Y.; Tan, Z.-X.; Li, M.-D.; Liu, F.-F.; Li, Y.; Han, M.-F.; et al. Acute kidney injury at early stage as a negative prognostic indicator of patients with COVID-19: A hospital-based retrospective analysis. medRxiv 2020. [Google Scholar] [CrossRef]
  82. Onder, G.; Rezza, G.; Brusaferro, S. Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy. JAMA 2020, 323, 1775–1776. [Google Scholar] [CrossRef]
  83. Lambeir, A.M.; Durinx, C.; Scharpe, S.; De Meester, I. Dipeptidyl-peptidase IV from bench to bedside: An update on structural properties, functions, and clinical aspects of the enzyme DPP I.V. Crit. Rev. Clin. Lab. Sci. 2003, 40, 209–294. [Google Scholar] [CrossRef]
  84. Metzemaekers, M.; Van Damme, J.; Mortier, A.; Proost, P. Regulation of chemokine activity—A focus on the role of dipeptidyl peptidase IV/CD26. Front. Immunol. 2016, 7, 483. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Willemen, M.J.; Mantel-Teeuwisse, A.K.; Straus, S.M.; Meyboom, R.H.; Egberts, T.C.; Leufkens, H.G. Use of dipeptidyl peptidase-4 inhibitors and the reporting of infections: A disproportionality analysis in the World Health Organization VigiBase. Diabetes Care 2011, 34, 369–374. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Dalan, R.; Ang, L.W.; Tan, W.Y.; Fong, S.W.; Tay, W.C.; Chan, Y.H.; Renia, L.; Ng, L.F.; Lye, D.C.; Chew, D.E.; et al. The association of hypertension and diabetes pharmacotherapy with COVID-19 severity and immune signatures: An observational study. Eur. Heart J. Cardiovasc. Pharmacother. 2020, 7, e48–e51. [Google Scholar] [CrossRef] [PubMed]
  87. Gorricho, J.; Garjón, J.; Alonso, A.; Celaya, M.C.; Saiz, L.C.; Erviti, J.; López, A. Use of oral antidiabetic agents and risk of community-acquired pneumonia: A nested case-control study. Br. J. Clin. Pharmacol. 2017, 83, 2034–2044. [Google Scholar] [CrossRef]
  88. Li, Y.; Zhang, Z.; Yang, L.; Lian, X.; Xie, Y.; Li, S.; Xin, S.; Cao, P.; Lu, J. The MERS-CoV receptor DPP4 as a candidate binding target of the SARS-CoV-2 spike. iScience 2020, 23, 101160. [Google Scholar] [CrossRef]
  89. Raj, V.S.; Mou, H.; Smits, S.L.; Dekkers, D.H.; Müller, M.A.; Dijkman, R.; Muth, D.; Demmers, J.A.; Zaki, A.; Fouchier, R.A.; et al. Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMC. Nature 2013, 495, 251–254. [Google Scholar] [CrossRef] [Green Version]
  90. Solerte, S.B.; D’Addio, F.; Trevisan, R.; Lovati, E.; Rossi, A.; Pastore, I.; Dell’Acqua, M.; Ippolito, E.; Scaranna, C.; Bellante, R.; et al. Sitagliptin treatment at the time of hospitalization was associated with reduced mortality in patients with type 2 diabetes and COVID-19: A multicenter case-control retrospective observational study. Diabetes Care 2020, 43, 2999–3006. [Google Scholar] [CrossRef]
  91. Fadini, G.P.; Morieri, M.L.; Longato, E.; Bonora, B.M.; Pinelli, S.; Selmin, E.; Voltan, G.; Falaguasta, D.; Tresso, S.; Costantini, G.; et al. Exposure to DPP-4 inhibitors and COVID-19 among people with type 2 diabetes. a case-control study. Diabetes Obes. Metab. 2020; published online ahead of print. [Google Scholar] [CrossRef]
  92. Yusta, B.; Baggio, L.L.; Koehler, J.; Holland, D.; Cao, X.; Pinnell, L.J.; Johnson-Henry, K.C.; Yeung, W.; Surette, M.G.; Bang, K.A.; et al. GLP-1R agonists modulate enteric immune responses through the intestinal intraepithelial lymphocyte GLP-1R. Diabetes 2015, 64, 2537–2549. [Google Scholar] [CrossRef] [Green Version]
  93. Hogan, A.E.; Gaoatswe, G.; Lynch, L.; Corrigan, M.A.; Woods, C.; O’Connell, J.; O’Shea, D. Glucagon-like peptide 1 analogue therapy directly modulates innate immune-mediated inflammation in individuals with type 2 diabetes mellitus. Diabetologia 2014, 57, 781–784. [Google Scholar] [CrossRef]
  94. Lim, S.; Kim, K.M.; Nauck, M.A. Glucagon-like peptide-1 receptor agonists and cardiovascular events: Class effects versus individual patterns. Trends. Endocrinol. Metab. 2018, 29, 238–248. [Google Scholar] [CrossRef] [PubMed]
  95. Lalau, J.D.; Al-Salameh, A.; Hadjadj, S.; CORONADO Investigators. Metformin use is associated with a reduced risk of mortality in patients with diabetes hospitalised for COVID-19. Diabetes Metab. 2020, 10, 101216. [Google Scholar] [CrossRef] [PubMed]
  96. Cariou, B.; Goronflot, T.; Rimbert, A. Routine use of statins and increased mortality related to COVID-19 in inpatients with type 2 diabetes: Results from the CORONADO study. Diabetes Metab. 2020, 19, S1262–S3636. [Google Scholar] [CrossRef] [PubMed]
  97. Kosiborod, M. Dapagliflozin in Respiratory Failure in Patients with COVID-19 (DARE-19). In Proceedings of the American College of Cardiology Virtual Annual Scientific Session (ACC 2021), Washington, DC, USA, 2–4 April 2021. [Google Scholar]
  98. Guan, W.J.; Ni, Z.Y.; Hu, Y.; Liang, W.H.; Ou, C.Q.; He, J.X.; Liu, L.; Shan, H.; Lei, C.L.; Hui, D.S.; et al. Clinical Characteristics of Coronavirus Disease 2019 in China. N. Engl. J. Med. 2020, 382, 1708–1720. [Google Scholar] [CrossRef]
  99. Liu, W.; Tao, Z.W.; Wang, L.; Yuan, M.L.; Liu, K.; Zhou, L.; Wei, S.; Deng, Y.; Liu, J.; Liu, H.G.; et al. Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease. Chin. Med. J. Engl. 2020, 133, 1032–1038. [Google Scholar] [CrossRef]
  100. Kabbani, N.; Olds, J.L. Does COVID-19 Infect the Brain? If So, Smokers Might Be at a Higher Risk. Mol. Pharmacol. 2020, 97, 351–353. [Google Scholar] [CrossRef]
  101. Usman, M.S.; Siddiqi, T.J.; Khan, M.S.; Patel, U.K.; Shahid, I.; Ahmed, J.; Kalra, A.; Michos, E.D. Is there a smoker’s paradox in COVID-19? BMJ Evid. Based Med. 2020, 26, 279–284. [Google Scholar] [CrossRef]
  102. Li, J.; Huang, D.Q.; Zou, B.; Yang, H.; Hui, W.Z.; Rui, F.; Yee, N.T.S.; Liu, C.; Nerurkar, S.N.; Kai, J.C.Y.; et al. Epidemiology of COVID-19: A systematic review and meta-analysis of clinical characteristics, risk factors, and outcomes. J. Med. Virol. 2021, 93, 1449–1458. [Google Scholar] [CrossRef]
  103. Correale, M.; Croella, F.; Leopizzi, A.; Mazzeo, P.; Tricarico, L.; Mallardi, A.; Fortunato, M.; Magnesa, M.; Ceci, V.; Puteo, A.; et al. The Evolving Phenotypes of Cardiovascular Disease during COVID-19 Pandemic. Cardiovasc. Drugs Ther. 2021; published online ahead of print. [Google Scholar] [CrossRef]
Jcm 11 02250 g001 550
Figure 1. COVID-19 cardiovascular risk factors.
Figure 1. COVID-19 cardiovascular risk factors.
Jcm 11 02250 g001
Table
Table 1. Studies on antihypertensive treatment in COVID-19.
Table 1. Studies on antihypertensive treatment in COVID-19.
StudyCompared Drugs/Study DrugsPopulationResults
Ip Andrew et al. medRxiv (2020) [51]ACEI/ARBs3017 patients with COVID-19, 1584 (52.5%) suffered from hypertension Lower mortality in patients treated with ACEI (27%) or ARBs (23%) compared to other antihypertensive drugs (39%)
Liu Y., et al. medRxiv (2020) [53]ACEI, ARB, CCB, BB, thiazide or none.511 patients with COVID-19 and hypertensionTreatment with ARBs before hospitalization compared, reduced the risk of severe course of the disease COVID-19 (p = 0.025)
Zhang L., et al. medRxiv (2020) [55]CCB487 adult COVID-19 patients with hypertension, among these patients 44 received amlodipineInhibit the replication of SARS-CoV-2 in vitro. Amlodipine significantly reduced the death rate among COVID-19 patients. Case fatality rate decreased form 26,1% in non-amlodipine groups vs. 6,8% in amlodipine group
Xu J., et al. Frontiers of Medicine (2020) [47]ACEI/ARBs702 patients, 40 patients were receiving ACEI/ARB, 61 patients were taking medication other than ACEI/ARB No statistically significant differences in in-hospital mortality (28% vs. 34%, p = 0.46), ICU admission (20% vs. 28%, p = 0.37) or invasive mechanical ventilation (18% vs. 26%, p = 0.31) between patients with or without ACEI/ARB. No association between chronic receipt of RAAS and severe outcomes of COVID-19.
Note: ACEI, angiotensin-converting enzyme inhibitors; ARBs, angiotensin II receptor blockers; CCB, calcium channel blockers; BB, beta-blockers.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wilk-Sledziewska, K.; Sielatycki, P.J.; Uscinska, N.; Bujno, E.; Rosolowski, M.; Kakareko, K.; Sledziewski, R.; Rydzewska-Rosolowska, A.; Hryszko, T.; Zbroch, E. The Impact of Cardiovascular Risk Factors on the Course of COVID-19. J. Clin. Med. 2022, 11, 2250. https://0-doi-org.brum.beds.ac.uk/10.3390/jcm11082250

AMA Style

Wilk-Sledziewska K, Sielatycki PJ, Uscinska N, Bujno E, Rosolowski M, Kakareko K, Sledziewski R, Rydzewska-Rosolowska A, Hryszko T, Zbroch E. The Impact of Cardiovascular Risk Factors on the Course of COVID-19. Journal of Clinical Medicine. 2022; 11(8):2250. https://0-doi-org.brum.beds.ac.uk/10.3390/jcm11082250

Chicago/Turabian Style

Wilk-Sledziewska, Katarzyna, Piotr Jan Sielatycki, Natalia Uscinska, Elżbieta Bujno, Mariusz Rosolowski, Katarzyna Kakareko, Rafal Sledziewski, Alicja Rydzewska-Rosolowska, Tomasz Hryszko, and Edyta Zbroch. 2022. "The Impact of Cardiovascular Risk Factors on the Course of COVID-19" Journal of Clinical Medicine 11, no. 8: 2250. https://0-doi-org.brum.beds.ac.uk/10.3390/jcm11082250

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop