Literature DB >> 33817321

Diabetes and COVID-19.

Zohair Jamil Gazzaz1.   

Abstract

Several factors are linked with a higher risk of mortality from Coronavirus disease-19 (COVID-19), including male gender, increased age, hypertension, diabetes mellitus, obesity, cardiovascular diseases, chronic obstructive pulmonary disease, and cancer. Hyperglycemic COVID-19 patients have severe clinical problems, increased ICU admittance, machine-driven ventilation, and a substantial rise in inflammatory markers. Among all patients, those with diabetes or hyperglycemia have a two- to four-fold increase in mortality and severity of COVID-19 than those without diabetes. The primary cause of mortality in COVID-19 patients with diabetes is compromised immune response to viral infections. Increased blood sugar level probably affects intracellular degradation of bacteria, neutrophil chemotaxis, and phagocytosis, thus improving viral binding affinity and entry and decreasing virus clearance. In addition, it has significant effects on the proteins by inducing glycosylation and altering the composition of complements, and glycosylation renders cells susceptible to viral inflammation and damage. The treatment of COVID-19 in patients with diabetes requires an integrated team approach to minimize the risk of medical complications and mortality. Moreover, physicians should adopt proactive strategies to care for persons with comorbidities. This strategy would help reduce the frequency of complications and mortality among patients and load on the healthcare system.
© 2021 Zohair Jamil Gazzaz, published by De Gruyter.

Entities:  

Keywords:  ACE2; COVID-19; CVD; cytokine storm; diabetes mellitus

Year:  2021        PMID: 33817321      PMCID: PMC8010370          DOI: 10.1515/biol-2021-0034

Source DB:  PubMed          Journal:  Open Life Sci        ISSN: 2391-5412            Impact factor:   0.938


Introduction

The COVID-19 pandemic has profoundly influenced the economic outlook and psychosocial well-being worldwide. The global economy and tourism are predicted to struggle a lot in the years to come. Millions have been unemployed, industries are down, and virtually every part of life has been affected [1]. Wuhan City, Hubei Province, China was the starting point of this viral pandemic [2]. Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is a part of the Coronaviridae family that has also previously caused the SARS epidemic in 2002 and MERS epidemic in 2008, killing 774 and 858 people, respectively [2,3]. The Coronaviridae is a family of enveloped viruses with a positive-sense single-stranded RNA genome [4,5]. SARS-CoV-2 is structurally different from other viruses, consisting transmembrane crown-like glycoprotein spikes [6]. The virus reaches the host cells using the angiotensin-converting enzyme 2 (ACE2) receptor [7]. Once inside, the virus captures the host cell’s genetic system to make viral proteins and their genetic material. After replication is complete, the virus leaves the cell through exocytosis; the stress of the virus triggers apoptosis of the cell [8]. The apoptosis or necrosis of the virally infected cells triggers an inflammatory response via the activation of proinflammatory cytokines. These high amounts of cytokines eventually lead to a “cytokine storm” in the body [9]. The cytokine storm causes multiple organ failure and hyper-inflammation [10,11]. A recent study from UAE reported 10% mortality among COVID-19 patients with diabetes [12]. For newly diagnosed diabetic cases, mortality and mechanical ventilation needs were considerably higher relative to people with pre-existing diabetes. Patients with COVID-19 infection are negatively impacted by uncontrolled hyperglycemia. A potential risk of complications is recently diagnosed and previously undiagnosed hyperglycemia [12]. Glycemia adjustment in hospitalized patients is vital in the context of the COVID-19 pandemic, and screening to identify undiagnosed cases of diabetes is markedly important [12]. A meta-analysis reported a 9.7% prevalence of diabetes mellitus (DM) in COVID-19 patients in China [13], which is comparable to the DM prevalence in China. A UK study described hospital death of 23,804 COVID-19 patients, of which 32% had type 2 DM and 1.5% had type 1 DM, with 2.03- and 3.5-fold risk of death in hospital relative to non-DM patients, respectively [14]. A retrospective Chinese study suggested that COVID-19 patients with diabetes had a higher incidence of hypertension (56.9%), cardiovascular disease (CVD) (20.9%), and cerebrovascular disease (7.8%) compared to non-DM patients (28.8, 11.1, and 1.3%, respectively) [15]. A population-based cohort study from England reported a greater possibility of death from COVID-19 in patients with diabetes (either type 1 or type 2 DM) with HbA 1c > 10% relative to those with HbA 1c < 6.5% [16].

COVID-19 and comorbidities

The dynamics of pathophysiology are still being recognized around the world. Elderly COVID-19 patients with comorbidities have severe and fatal issues [17,18]. A nationwide analysis conducted on 1,590 laboratory-confirmed patients in China had a mean age of 49 years, with 399 (25.1%) patients had at least one comorbid disease. Hypertension was the most predominant (16.9%), followed by DM (8.2%). A small number of patients, 130 (8.2%), had two or more comorbidities. The findings suggest that COVID-19 patients with some comorbidity had worse clinical results compared to those without an associated condition, and more comorbidities were also associated with poorer clinical outcomes [19]. In another case series that had 5,700 confirmed cases of COVID-19, the commonly prevalent comorbidities were hypertension (3,026; 56.6%), obesity (1,737; 41.7%), and DM (1,808; 33.8%), who were hospitalized in the New York City region [20]. One Chinese meta-analysis involved 1,527 patients and considered hypertension to be the most frequent cardiovascular comorbidity in COVID-19 (17.7%), cardio-cerebrovascular disease (16.4%), and DM (9.7%). Furthermore, diabetic or hypertensive patients had a two-fold increased risk of developing serious complications or requiring ICU admissions. In contrast, cardio-cerebrovascular illness patients had a three-fold rise [13].

How COVID-19 impacts DM patients

DM is a metabolic disease illustrated by chronic high circulating blood glucose concentration in the body [21]. The worldwide prevalence of DM has increased drastically, with 463 million people suffering from the disease globally in 2019, with 95% of type 2 DM [21]. Currently, many patients who have diabetes remain undiagnosed with the disease. The therapeutic intervention has reduced disease complications, making it necessary to detect diabetes early on in its course. DM occurs throughout the world, but it is found explicitly in the more developed countries, where the majority of the patients are in the age group between 45 and 64 years. A relationship has been clinically recognized between diabetic individuals and infections [22]. A virus that causes pneumonia, particularly influenza, is prevalent and presents a much more profound threat in older patients with type 2 DM [23,24]. There is a higher chance of poor prognosis and death for COVID-19 patients with diabetes. With the high global incidence of diabetes, these individuals constitute a significant portion of the population susceptible to COVID-19. Several factors are linked with a higher risk of mortality from COVID-19, including male gender, increased age, hypertension, DM, obesity, CVDs, chronic obstructive pulmonary disease, and cancer [25]. Reports from countries such as China [13,17,19], Italy [26], and the City of New York [20] have shown that older age and chronic diseases such as DM, hypertension, and extreme obesity are now considered to augment morbidity and death in COVID-19 patients. It is indistinct whether DM leads individually to elevated risk, but blood glucose and DM predict morbidity and death in SARS patients [27]. An American study reported that in 1,122 patients admitted in hospital for COVID-19, the rate of mortality during hospital stays of those suffering from diabetes or hyperglycemia was four-fold higher (28.8%) than that of patients with normal glucose level (6.2%) [28]. A reduced chance of complications and the all-cause death rate were also linked with good glycemic regulation [29]. Al Hayek et al. investigated the factors that may raise the risk of hospital admission of COVID-19 patients with diabetes. They reported patients’ hospitalization was independently associated with a high HbA1c level in Saudi patients [30]. A Chinese meta-analysis reported that high HbA1c is a predictor of the in-hospital mortality of COVID-19 patients [31]. Individuals with elevated HbA1c are at high risk for COVID-19. They should comply with the doctor’s recommendation and precisely track and regulate glucose metabolism regularly [31]. It has been proposed that diabetes could potentiate the severity of SARS-CoV-2 infection via diverse routes that eventually contribute to advanced glycation end products, glucose toxicity, endotheliitis, vital organ injury, and fatality [32]. It is reported that ACE2 receptors mediate the SARS-CoV-2 effects in the host cells. ACE2 receptors are present in the respiratory system, type 1 and 2 alveolar cells of the lungs, hearts, kidney tubules, enterocytes, and pancreas. Studies conducted on rodent models of DM have demonstrated that there has been an augmented manifestation of ACE2 receptors in the lungs, heart, kidney, and pancreas [33,34]. Furthermore, a randomized study found that increased lung ACE2 expression was linked with DM [35]. Furthermore, DM patients have higher circulating Furin levels, a cellular protease that cleaves S1 and S2 domains of spike protein, facilitating the access of SARS-CoV-2 [36]. These studies support that DM patients present a higher COVID-19 risk, and diabetic individuals infected with the disease have impaired virus clearance [37]. ACE2 helps in the catalytic conversion of angiotensin 2 to angiotensin 1–7 or angiotensin 1–9. This conversion is essential as it has a protective effect on the lungs against ARDS [38]. This protective action is because of the antioxidant and anti-inflammatory action of angiotensin 1–7 and angiotensin 1–9. Unfortunately, once the SARS-CoV-2 virus binds with ACE2, it is degraded, preventing any protective action toward the lung parenchyma. This allows angiotensin 2 to cause lung injury [39]. Furthermore, there is more potassium loss in the urine and increased aldosterone secretion by the virus [17]. Nevertheless, more studies need to be conducted to assess the full potential effects of ACE2 expression concerning diabetes and COVID-19. Predictions and decisions can be made if angiotensin receptor blockers, angiotensin-converting enzyme inhibitors, TZDs, GLP-1 agonists, and statins reduce ACE2 appearance in COVID patients. DM also causes impairment in the activation of the adaptive immune response by inhibiting stimulation of Th1 cell-mediated immunity, thereby leading to a delayed hyperinflammatory reaction in diabetic patients [40]. A study that examined DM effects in mouse models of MERS-Cov infectivity showed that the infection was further prolonged and severe in diabetic male mice. This was because of the variations in CD4+ T cell counts and aberrant cytokine responses [41]. This finding is fairly consistent with SARS-CoV-2 patients, with peripheral counts of CD4+ and CD8T cell counts being abnormally low but subsequently having higher levels of proinflammatory Th17 cells and elevated cytokine count [42,43]. This demonstrated that DM patients have a severely blunted anti-viral response compared to a fairly accentuated inflammatory response because of delayed activation of Th1/Th17 [42]. The SARS-CoV-2 productively infects β-cell and can trigger acute insulin secretion impairment or β-cells loss, which can initiate diabetes [44]. To understand the possible causal association between chronic untreated hyperglycemia and higher death rates in COVID-19 patients, certain biological pathways have been suggested. The primary cause of mortality in COVID-19 patients with diabetes is an inadequate immune response to viral infections [45]. The increased blood sugar level is expected to substantially affect the intracellular degradation of bacteria, neutrophil chemotaxis, and phagocytosis, thus improving viral binding affinity and entry and decreasing virus clearance [46]. In addition, it has significant effects on the proteins by inducing glycosylation and altering the composition of complements [47,48], and glycosylation renders cells susceptible to viral inflammation and damage [49,50]. In addition, endotheliitis may be a potential pathway that triggers organ dysfunction that causes essential COVID-19 disease, aggravated by endothelial dysfunction coupled with chronic hyperglycemia [51]. Multiple variables are associating diabetes with infection severity. The acute inflammatory response can be triggered, intensified, or prolonged by hyperglycemia [52]. It also induces a coagulation and fibrinolysis mismatch, resulting in elevated coagulation factors and relative fibrinolytic system inhibition, fostering a pro-coagulant state [53]. Moreover, SARS-CoV-2 is suspected to be using the ACE2 as the entry receptors on the Langerhans islets. This can lead to moderate to dawning of these cells, leading to moderate hyperglycemia to life-endangering diabetic ketoacidosis [50]. Diabetic people’s vulnerability during a public health epidemic turns out to be evident in the COVID-19 pandemic because of their at least twice higher risk of severe illness or death, particularly in people with poorly regulated diabetes and comorbidities, or both. The pressure on healthcare organizations and the world economy because of COVID-19, compounded by chronic diseases like diabetes, has been enormous [21] (Table 1).
Table 1

Outcome risks among COVID-19 patients with diabetes

AuthorsArticle typeStudy populationPrevalence of diabetesOutcomeRisk
Parohan et al. [25]Meta-analysis27,352Mortality2.41 (1.05–5.51)
Zhu et al. [31]Meta-analysis1,180Mortality2.3 (1.679–3.150)
Kumar et al. [55]Meta-analysis16,0039.8%Mortality1.9 (1.37–2.64)
Wei et al. [56]Prospective1676.59%Severity10.12 (2.742–37.347)
Simonnet et al. [57]Retrospective12423%Invasive mechanical ventilation2.45 (0.67–3.49)
Wu et al. [58]Retrospective20110.9ARDS2.34 (1.35–4.05)
Wu et al. [58]Retrospective20110.9%Mortality1.58 (0.80–3.13)
Mo et al. [59]Retrospective1559.7%Refractory COVID-192.138 (0.483–9.471)
Huang et al. [60]Meta-analysis6,45226.48%Mortality2.12 (1.44–3.11)
Huang et al. [60]Meta-analysis6,45226.48%ARDS4.64 (1.86–11.58)
Huang et al. [60]Meta-analysis6,45226.48%Severe COVID-192.45 (1.79–3.35)
Tian et al. [61]Meta-analysis4,65923.8%Mortality2.0 (1.7–2.3)

ARDS = acute respiratory distress syndrome.

Outcome risks among COVID-19 patients with diabetes ARDS = acute respiratory distress syndrome. An extensive survey showed that respondents had a low knowledge score regarding COVID-19. In this respect, it becomes more important to be aware of COVID-19 and its consequences on human health [54]. Establishing a valid association between DM and COVID-19 is imperative in treating DM patients. It would also help in DM care in the present conditions and assist in similar outbreaks in the future. It is also essential to take care of the comorbidities of DM patients while treating DM. Now that the COVID-19 vaccine is available, we need to get vaccinated to save ourselves from this highly infectious disease and save other society members. The community must also implement social distancing guidelines and protocols to protect those who are more susceptible to morbidity from this disease, such as comorbid individuals or older aged people. Comorbid individuals are those who are more severely being infected by the virus. Patients with chronic illnesses like diabetes, hypertension, and respiratory diseases are more threatened by the virus than those without any underlying conditions. The treatment of COVID-19 patients with diabetes requires an integrated team approach to minimize the risk of medical complications and mortality [44]. Besides, doctors should incorporate pragmatic measures to treat patients with comorbidities. This strategy would help reduce the frequency of complications, mortality among patients, and the healthcare system’s overall load.

Conclusion

COVID-19 is an ongoing pandemic with new information concerning the disease continually emerging. Diabetes is an essential comorbid factor for COVID-19, and diabetic patients must take the necessary steps to prevent them from becoming infected. More research is required to cater a clearer understanding of the prevalence of morbidity, mortality, and pathophysiology of COVID-19 in diabetic patients.
  57 in total

1.  Comorbid diabetes results in immune dysregulation and enhanced disease severity following MERS-CoV infection.

Authors:  Kirsten A Kulcsar; Christopher M Coleman; Sarah E Beck; Matthew B Frieman
Journal:  JCI Insight       Date:  2019-10-17

Review 2.  The Effect of Short-Term Hyperglycemia on the Innate Immune System.

Authors:  Nagham Jafar; Hawa Edriss; Kenneth Nugent
Journal:  Am J Med Sci       Date:  2016-02       Impact factor: 2.378

Review 3.  Diabetes and infection: assessing the association with glycaemic control in population-based studies.

Authors:  Jonathan Pearson-Stuttard; Samkeliso Blundell; Tess Harris; Derek G Cook; Julia Critchley
Journal:  Lancet Diabetes Endocrinol       Date:  2015-12-03       Impact factor: 32.069

4.  COVID-19 pandemic, coronaviruses, and diabetes mellitus.

Authors:  Ranganath Muniyappa; Sriram Gubbi
Journal:  Am J Physiol Endocrinol Metab       Date:  2020-03-31       Impact factor: 4.310

5.  Glycemic Control and Risk of Infections Among People With Type 1 or Type 2 Diabetes in a Large Primary Care Cohort Study.

Authors:  Julia A Critchley; Iain M Carey; Tess Harris; Stephen DeWilde; Fay J Hosking; Derek G Cook
Journal:  Diabetes Care       Date:  2018-08-13       Impact factor: 19.112

Review 6.  Origin and evolution of pathogenic coronaviruses.

Authors:  Jie Cui; Fang Li; Zheng-Li Shi
Journal:  Nat Rev Microbiol       Date:  2019-03       Impact factor: 60.633

7.  Diabetes mellitus is associated with increased mortality and severity of disease in COVID-19 pneumonia - A systematic review, meta-analysis, and meta-regression.

Authors:  Ian Huang; Michael Anthonius Lim; Raymond Pranata
Journal:  Diabetes Metab Syndr       Date:  2020-04-17

8.  Risk factors for COVID-19-related mortality in people with type 1 and type 2 diabetes in England: a population-based cohort study.

Authors:  Naomi Holman; Peter Knighton; Partha Kar; Jackie O'Keefe; Matt Curley; Andy Weaver; Emma Barron; Chirag Bakhai; Kamlesh Khunti; Nicholas J Wareham; Naveed Sattar; Bob Young; Jonathan Valabhji
Journal:  Lancet Diabetes Endocrinol       Date:  2020-08-13       Impact factor: 32.069

9.  Risk factors for hospital admission among COVID-19 patients with diabetes. A study from Saudi Arabia.

Authors:  Ayman A Al Hayek; Asirvatham A Robert; Abdullah Bin Matar; Ali Algarni; Haneen Alkubedan; Turki Alharbi; Afrah Al Amro; Seham A Alrashidi; Mohamed Al Dawish
Journal:  Saudi Med J       Date:  2020-10       Impact factor: 1.484

10.  Knowledge, Awareness, and Practices Regarding the Novel Coronavirus Among a Sample of a Pakistani Population: A Cross-Sectional Study.

Authors:  Saba Tariq; Sundus Tariq; Mukhtiar Baig; Muhammad Saeed
Journal:  Disaster Med Public Health Prep       Date:  2020-10-23       Impact factor: 1.385

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1.  The Concern of COVID-19 Vaccine Safety Is behind Its Low Uptake among Patients with Diabetes Mellitus in Sudan.

Authors:  Saeed M Omar; Rehana Khalil; Ishag Adam; Osama Al-Wutayd
Journal:  Vaccines (Basel)       Date:  2022-03-29

Review 2.  Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Dose, Infection, and Disease Outcomes for Coronavirus Disease 2019 (COVID-19): A Review.

Authors:  Lisa M Brosseau; Kevin Escandón; Angela K Ulrich; Angela L Rasmussen; Chad J Roy; Gregory J Bix; Saskia V Popescu; Kristine A Moore; Michael T Osterholm
Journal:  Clin Infect Dis       Date:  2022-08-24       Impact factor: 20.999

3.  Spatio-temporal modeling of COVID-19 prevalence and mortality using artificial neural network algorithms.

Authors:  Nima Kianfar; Mohammad Saadi Mesgari; Abolfazl Mollalo; Mehrdad Kaveh
Journal:  Spat Spatiotemporal Epidemiol       Date:  2021-11-11

Review 4.  Persistence and occurrence of SARS-CoV-2 in water and wastewater environments: a review of the current literature.

Authors:  Ananda Tiwari; Nati Phan; Sarmila Tandukar; Razieh Ashoori; Ocean Thakali; Milad Mousazadesh; Mohammad Hadi Dehghani; Samendra P Sherchan
Journal:  Environ Sci Pollut Res Int       Date:  2021-10-15       Impact factor: 5.190

Review 5.  RNA Viruses, Pregnancy and Vaccination: Emerging Lessons from COVID-19 and Ebola Virus Disease.

Authors:  Chandrasekharan Rajalekshmi Dhanya; Aswathy Shailaja; Aarcha Shanmugha Mary; Sumodan Padikkala Kandiyil; Ambili Savithri; Vishnu Sasidharan Lathakumari; Jayakrishnan Therthala Veettil; Jiji Joseph Vandanamthadathil; Maya Madhavan
Journal:  Pathogens       Date:  2022-07-15

6.  Sustained seropositivity up to 20.5 months after COVID-19.

Authors:  Carlota Dobaño; Anna Ramírez-Morros; Gemma Moncunill; Anna Ruiz-Comellas; Selena Alonso; Rocío Rubio; Gemma Ruiz-Olalla; Josep Vidal-Alaball; Dídac Macià; Queralt Miró Catalina; Marta Vidal; Aina Fuster Casanovas; Esther Prados de la Torre; Diana Barrios; Alfons Jiménez; Jasmina Zanoncello; Natalia Rodrigo Melero; Carlo Carolis; Luis Izquierdo; Ruth Aguilar
Journal:  BMC Med       Date:  2022-10-13       Impact factor: 11.150

7.  Correlation Between Chest CT Severity Scores and Glycosylated Haemoglobin Levels and its Outcome in Patients With COVID-19: A Retrospective Study in a Tertiary Care Hospital.

Authors:  Gaurav Sahu; Shiv H Joshi; Sarthak Mendiratta
Journal:  Cureus       Date:  2022-08-25

8.  Risks of Severe COVID-19 Outcomes Among Patients With Diabetic Polyneuropathy in the United States.

Authors:  Wen-Jan Tuan; Robert P Lennon; Alice Zhang; Ajay Macherla; Aleksandra E Zgierska
Journal:  J Public Health Manag Pract       Date:  2022-08-27

9.  Rate and Predictors of Hesitancy toward SARS-CoV-2 Vaccine among Type 2 Diabetic Patients: Results from an Italian Survey.

Authors:  Federica Guaraldi; Marco Montalti; Zeno Di Valerio; Edoardo Mannucci; Besmir Nreu; Matteo Monami; Davide Gori
Journal:  Vaccines (Basel)       Date:  2021-05-04

Review 10.  Root Causes of Fungal Coinfections in COVID-19 Infected Patients.

Authors:  Arman Amin; Artin Vartanian; Nicole Poladian; Alexander Voloshko; Aram Yegiazaryan; Abdul Latif Al-Kassir; Vishwanath Venketaraman
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  10 in total

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