• Nu S-Au Găsit Rezultate

View of Diabetes and the Covid-19 Pandemic in Iraq

N/A
N/A
Protected

Academic year: 2022

Share "View of Diabetes and the Covid-19 Pandemic in Iraq"

Copied!
7
0
0

Text complet

(1)

Diabetes and the Covid-19 Pandemic in Iraq

Athraa Sami 1, Fatimah Mohammed Hussein Wais2

1, University of Kufa,Iraq(Faculty of Pharmacy,Department of Clinical Laboratory Science)

2University of Kufa,Iraq(Faculty of Pharmacy,Department of Pharmaceutics)

*E-mail: [email protected] ABSTRACT

The majority of diabetic patients have an enhanced the risk of developing complications and increased the possibility of admission to the (ICU) after infection with COVID-19 due to uncontrolled glycaemia. We aim to find out the relationship between diabetes mellitus and the severity of COVID-19.We compared HbA1c in infected diabetic patients (IDP) who had been admitted to the ICU with IDP who did not require ICU admission. From the admitteddemographic, laboratory and clinical data from August 2020 to October 2020 was collected,and the correlation between glycemic control and the severity of COVID-19was assessed using the phicoefficient.35 (68.6%) of diabetic patients required ICU treatment, while 16 (31.4%) did not. IDP who needed ICU care had poor glycemic control compared to IDP who did not require ICU care (HbA1c 8.4%

vs. 6.4%, respectively, P < 0.001), and the average blood glucose levels in diabetic patients that required ICU admission weresignificantly higherthan those of IDP that did not require ICU admission [189.9±40.12(mg/dl)vs. 121.31±18, respectively, P<0.01].Uncontrolled glycemia in IDP predisposes them to COVID-19 infection, and the degree of hyperglycemia in IDP is associated with the severity of the disease.

Keywords:Glycemic control, Infected diabetic patients, Intensive care unit admission

Introduction

As of October 21, 2020, 438,265 cases of COVID-19have been confirmed in Iraq, with 10,418 deaths and recovered 369,010 patients.The number of patients admitted to theICU for COVID-19 exceeded 491 around the time the pandemic is thought to have begun, based on Iraq’s first positive test resultin Al-Najaf city on February 24, 2020, for a student traveling from Iran [1]. Although the Iraqi government imposed full curfew, closed airports and a state of health emergency was declared [2].

Diabetes mellitus increases the likelihood of developing a number of infections, particularly respiratory ones, with enhanced risk of hospitalization due to the decreased capability of antibodies to defend against protein antigens [3]. The rate of infection rises steadily as HbA1c rises and is statistically attributed to inadequate glycemic control, which leads to higher hospitalization rates as a result of infections [4].It is expected that diabetes mellitus will likewise be significantly associated with COVID-19 progression [5]. Notably, the major pathway by which the SARS-CoV-2 virus enters into host cells isvia Angiotensin Converting Enzyme 2 (ACE2).This enzyme is highly expressed and widely distributed in pancreatic cells and plays a critical role in impairing the secretion of insulin and increasing insulin resistance, suggesting that the virus causes inflammatory mediated the islets damage [6][7][8].However, due to the decrease in cytosolic pH in the presence of DM,as well as other comorbidities, SARS-CoV-2 enters host cells more easily via ACE2 because the viral load is high; the resulting COVID-19 infection is thus more likely to be severe in diabetic patients [9].

Methods Study setting

This study was conducted at Al Amal specialist Hospital in Alnajaf Al-Ashraf city, Iraq.

Using laboratory and clinical data from August 2020 to October 2020, we evaluated the severity of COVID-19 among persons with diabetes. A total of 51 Iraqi type 2 diabetic patients with COVID-19 infectionwere referred to the hospital from August 2020 to October 2020 andwere confirmed to be infected.We compared HbA1c in IDP who were admittedto the ICU with that of IDP who did not require ICU admission.

Statistical Analysis

(2)

Categorical variables are expressed innumerical values and percentages, and the results are analyzed with achi-squared test to compare ICU and non-ICU diabetic patients.The correlation between laboratory findings and severity of infectionwas measured using the phicoefficient.P< 0.05 were considered to be significant. Data computing was accomplished using SPSS software version 25.

Results

A total of 51 Iraqi diabetic patients with COVID-19 infectionwere referred to the hospital and confirmed to be infected with the virus.All patients had type 2 diabetes. Most of the infected diabetic patients were women(33 [64.7%] of 51);median age was 51 years. At onset of infection, the most common symptoms were fever (42 [82.4 %] of 51 patients), cough (34 [66.7%)], and dyspnea (30 [58.8%]); less common symptoms were sputum production (20 [39.2 %]) and headache (19 [37.3%]). 35 (68.6 %) patients required ICU care, while 16 (31.4%) did not. There were no deaths. Of the IDP who were admitted to the ICU, 33(64.7

%) had severe illness.The most frequent comorbidities werecardiovascular disease (15 [29.4%]), hypertension (10 [19.6%]), chronic obstructive pulmonary disease (4 [7.8 %]) and malignancy (4 [7.8 %]) (see Table 1).

Table 1: Infected Diabetic Patients Characteristics

Patients (n = 51)

ICU care (n=35)

No ICU care (n=16)

p value

Patient demographics

Median age (years) 51(range 44–68) 56(range44-67) 50.5(range45-64) 0.56

Sex 0.05

Male 18(35.3%) 9(17.6%) 9(17.6%) --

FemaleSigns and

symptoms

33(64.7%) 26(51%) 7(13.7%) --

Fever 42(82.4%) 35(68.6%) 7(13.7%) 0.001

Headache 19(37.3%) 13(25.5%) 6(11.8%) 0.98

Cough 34(66.7%) 26(51%) 8(15.7%) 0.11

Sputum production 20(39.2%) 17(33.3%) 3(5.9%) 0.06

Dyspnea 30(58.8%) 25(49%) 5(9.8%) 0.01

Comorbid conditions

Hypertension 14(27.5%) 10(19.6%) 4(7.8%) 0.79

Cardiovascular disease 17(33.3%) 15(29.4%) 2(3.9%) 0.03 Chronic obstructive

pulmonary disease

4(7.8%) 4(7.8%) 0 0.54

(3)

n = total number of IDP, p values comparing ICU care and no ICU care are from the chi squared test, ICU=intensive care unit.

IDP in need of ICU care had poor glycemic control as compared with IDP who did not need ICU care (HbA1c 8.4 % vs. 6.4 %, respectively, P < 0.001) (Figure1).

Figure 1:The percentage of IDP with glycemia according to ICU admission

Notably, the phi coefficient showedthat the correlation between glycemic control and ICU admission was 0.62 (p < 0.001).The increase in HbA1c values is related to a higher risk of ICU admission and contributes to increasing the severity of COVID-19.

Furthermore, in diabetic patients with COVID-19 that required ICU admission,average blood glucose levels [189.9 ± 40.12(mg/dl)] weresignificantly higherthan blood glucose levels [121.31 ± 18] in IDP that did not require ICU admission.

(see Table 2).

Malignancy 4(7.8%) 4(7.8%) 0 0.54

Others 12(23.5%) 2(3.9%) 10(19.6%) 0.29

Variable ICU care No ICU

care

p value φ

Glycemic control (%)

HbA1c >7 (poorly controlled diabetes) n(%)

32(62.7) 5(9.8)

<0.001 0.62

(4)

Table 2: Laboratory findings of infected diabetic patients

* φ Phi ;HbA1c: glycated Hemoglobin; SD standard deviation.

Discussion

Iraqi cities havebeen hard-hit bythe COVID-19 pandemic, and the rapid spread of this serious virus was due to afailure to enforce public health rules, which increased the risk of contamination [2]. Figure2 shows the number of confirmed and recovered cases of COVID- 19 infection and the number of deaths in Iraq (since February 24, 2020).

Figure 2: Showing the number of confirmed cases, deaths and recoveriesfrom COVID-19 in Iraq.

Susceptibility to COVID-19 infectionis related to individual risk factors such asage, cardiovascular disease, hypertension and DM [10].DM is a major clinical risk factor in COVID-19 severity due to increased ACE2 expression [11].In older diabetic patients, and in patients with underlying conditions (particularly cardiovascular ones), potential mechanisms of increased COVID-19 severity include a higher ACE2 expression and more efficient viral entry, a greater viral load and lower clearance of the virus,and a reduction in T-cell function leading to the cytokine storm [12].

Hyperglycemia, meanwhile, stimulates changes in coagulation, overproduction of inflammatory cytokines (tumor necrosis factor-α , interleukin (IL) 6, D-dimer), and a

0 50000 100000 150000 200000 250000

1-May 1-Jun

1-Jul 1-Aug

Number of cases in Iraq

number of infected case in iraq recovered cases number of deaths HbA1c <7 (well-controlled

diabetes) n(%)

3(5.9) 11(21.6) HbA1c value (%)

Mean ± SD

8.4 ±1.09 6.4±0.45 0.005 Blood glucose levels

(mg/dl) Mean ± SD

189.9±40.12 121.31±18 <0.01

(5)

deterioration of endothelial function leading to the intravascular dissemination of clotting and septic shock. Thus, uncontrolled glycaemia may exacerbate the risk and complications of COVID-19 in diabetic patients, necessitating ICU care[13].

In addition, inadequate glycemic management for diabetic patients with COVID-19 may be caused by unavailability of the special diabetic diet, inability to exercise because of low pulmonary function and limited indoor space in medical centers, and stimulation of hyperglycemia due to anxiety [14].

Althoughthe pathophysiological mechanisms of the correlation between DM and COVID-19 are not fully clear, some studies from Italy and China have shownthat older diabetic patients were at a greater risk for severe cases of COVID-19 [15].

A number ofrecent studies have found that IDP with COVID-19 and uncontrolled glycemia were more likely to become critically ill as compared with controls and had a 2- to 5-fold higher risk of composite outcomes necessitating ICU admission [16][17]. Finally, we suggest that IDP with COVID-19 and inadequate glycemic controlshould have their blood glucose levelscarefully managed to decrease the risk of complicationsordeath[18].

Limitations of the study

The limitations of our include: 1)a lack of detailed evaluation of factors that may affectblood glucose levels, such as dietary compliance, stress factors, lifestyle, and medications; 2) the low sample sizeof diabetic patients and the relatively short period of the study; 3) since this study was conducted in a single isolation hospital with a homogeneous population, the overall findings may not be representative.

Conclusion

Uncontrolled glycemia in diabetes predisposes patients to COVID-19 infection, and the degree of hyperglycemia in IDP is associated with an increase in the severity of infection,with the incidence of many complications leading to ICU admission.Healthcare providers shoulddevotespecial attention to diabetic patients bycarefully managing blood glucose levels to decrease the risk of complications.

Acknowledgement

We thank all members of Al Amal specialist Hospitalfor their helpful counsel and discussions. Moreover, we are thankful to everyone who contributed to the preparation of our research paper.

References

[1] A. R. Sarhan, M. H. Flaih, T. A. Hussein, and K. R. Hussein, “Novel coronavirus (COVID-19) Outbreak in Iraq: The First Wave and Future Scenario,” medRxiv, p.

2020.06.23.20138370, 2020, [Online]. Available:

https://doi.org/10.1101/2020.06.23.20138370.

[2] B. M. Hashim, S. K. Al-Naseri, A. Al-Maliki, and N. Al-Ansari, “Impact of COVID- 19 lockdown on NO2, O3, PM2.5 and PM10 concentrations and assessing air quality changes in Baghdad, Iraq,” Sci. Total Environ., vol. 754, no. 2, p. 141978, 2021, doi:

10.1016/j.scitotenv.2020.141978.

(6)

[3] R. B. Klekotka, E. Mizgała, and W. Król, “The etiology of lower respiratory tract infections in people with diabetes,” Pneumonol. Alergol. Pol., vol. 83, no. 5, pp. 401–

408, 2015, doi: 10.5603/PiAP.2015.0065.

[4] J. A. Critchley, I. M. Carey, T. Harris, S. DeWilde, F. J. Hosking, and D. G. Cook,

“Glycemic control and risk of infections among people with type 1 or type 2 diabetes in a large primary care cohort study,” Diabetes Care, vol. 41, no. 10, pp. 2127–2135, 2018, doi: 10.2337/dc18-0287.

[5] E. Maddaloni and R. Buzzetti, “Covid-19 and diabetes mellitus: unveiling the interaction of two pandemics,” Diabetes. Metab. Res. Rev., vol. 36, no. 7, pp. 19–20, 2020, doi: 10.1002/dmrr.3321.

[6] Y. Wan, J. Shang, R. Graham, R. S. Baric, and F. Li, “Receptor Recognition by the Novel Coronavirus from Wuhan: an Analysis Based on Decade-Long Structural Studies of SARS Coronavirus,” J. Virol., vol. 94, no. 7, pp. 1–9, 2020, doi:

10.1128/jvi.00127-20.

[7] S. M. Bindom and E. Lazartigues, “The sweeter side of ACE2: Physiological evidence for a role in diabetes,” Mol. Cell. Endocrinol., vol. 302, no. 2, pp. 193–202, 2009, doi:

10.1016/j.mce.2008.09.020.

[8] W. Ni et al., “Role of angiotensin-converting enzyme 2 (ACE2) in COVID-19,” Crit.

Care, vol. 24, no. 1, pp. 1–10, 2020, doi: 10.1186/s13054-020-03120-0.

[9] E. Cure and M. Cumhur Cure, “Angiotensin-converting enzyme inhibitors and angiotensin receptor blockers may be harmful in patients with diabetes during COVID- 19 pandemic,” Diabetes Metab. Syndr. Clin. Res. Rev., vol. 14, no. 4, pp. 349–350, 2020, doi: 10.1016/j.dsx.2020.04.019.

[10] Y. Rozenfeld et al., “A model of disparities: Risk factors associated with COVID-19 infection,” Int. J. Equity Health, vol. 19, no. 1, pp. 1–10, 2020, doi: 10.1186/s12939- 020-01242-z.

[11] A. E. Zemlin and O. J. Wiese, “Coronavirus disease 2019 (COVID-19) and the renin- angiotensin system: A closer look at angiotensin-converting enzyme 2 (ACE2),” Ann.

Clin. Biochem., vol. 57, no. 5, pp. 339–350, 2020, doi: 10.1177/0004563220928361.

[12] C. Sardu et al., “Outcomes in Patients with Hyperglycemia Affected by COVID-19:

Can We Do More on Glycemic Control?,” Diabetes Care, vol. 43, no. 7, pp. 1408–

1415, 2020, doi: 10.2337/dc20-0723.

[13] R. Muniyappa and S. Gubbi, “COVID-19 pandemic, coronaviruses, and diabetes mellitus,” Am. J. Physiol. - Endocrinol. Metab., vol. 318, no. 5, pp. E736–E741, 2020, doi: 10.1152/ajpendo.00124.2020.

[14] J. Zhou and J. Tan, “Diabetes patients with COVID-19 need better blood glucose management in Wuhan, China,” Metabolism., vol. 107, no. March, p. 154216, 2020, doi: 10.1016/j.metabol.2020.154216.

(7)

[15] A. Hussain, B. Bhowmik, and N. C. do Vale Moreira, “COVID-19 and diabetes:

Knowledge in progress,” Diabetes Res. Clin. Pract., vol. 162, p. 108142, 2020, doi:

10.1016/j.diabres.2020.108142.

[16] Y. Zhang et al., “The clinical characteristics and outcomes of patients with diabetes and secondary hyperglycaemia with coronavirus disease 2019: A single-centre, retrospective, observational study in Wuhan,” Diabetes, Obes. Metab., vol. 22, no. 8, pp. 1443–1454, 2020, doi: 10.1111/dom.14086.

[17] W. Guo et al., “Diabetes is a risk factor for the progression and prognosis of COVID- 19,” Diabetes. Metab. Res. Rev., vol. 36, no. 7, pp. 1–9, 2020, doi: 10.1002/dmrr.3319.

[18] M. Apicella, M. C. Campopiano, M. Mantuano, L. Mazoni, A. Coppelli, and S. Del Prato, “COVID-19 in people with diabetes: understanding the reasons for worse outcomes,” Lancet Diabetes Endocrinol., vol. 8, no. 9, pp. 782–792, 2020, doi:

10.1016/S2213-8587(20)30238-2.

Referințe

DOCUMENTE SIMILARE

Also, it was confirmed that the psychological change of wearing a mask was worse after COVID-19 compared to before COVID-19 (p&lt;0.001).Before COVID-19,

The World Health Organization (WHO) has classified the 2019 coronavirus infections Covid- 19as a pandemic due to the virus's global expansion[1–3].Covid-19 spread is a

In the late December 2019, a global awakening happened into a reality of a pandemic of the Coronavirus Disease (Covid-19) caused by a highly transmissible Severe Acute Respiratory

Analysis of Influencing Risk Factors for Covid-19 Infection Based on the Predictive Models Using Machine Learning Algorithms.. 1 Dr.G.Sofia Jonathan,

The nurses are at risk of physical and physiological consequences directly as the result of providing care to patients with COVID-19, and shortages that existed

Key-words:Epidemic, Pandemic, Coronavirus SARS-CoV-2 (COVID-19), ACE2 receptor polymorphism, Hypertension, Diabetes , Cardiovascular diseases, Chronic Diseases ,

So, the cardiovascular risk profile did not differ significantly in the two groups, showing that cardiovascular risk factors’ evolution and

Fig 4. Abdominal ultrasound: A) Left upper quadrant scan with long axis spleen visualization; B) Right upper quadrant scan with right liver lobe, kidney and Morison