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Risk Factors of COVID-19 Patients

Published online by Cambridge University Press:  08 January 2021

Ouail Ouchetto*
Affiliation:
LIMSAD-FSAC, Hassan II University of Casablanca, Casablanca, Morocco FSJES-AC, Hassan II University of Casablanca, Casablanca, Morocco
Asmaa Drissi Bourhanbour
Affiliation:
Laboratory of Immunology, Ibn Rochd University Hospital Center, Casablanca, Morocco Faculty of Medicine and Pharmacy, Hassan II University of Casablanca, Casablanca, Morocco
*
Corresponding author: Ouail Ouchetto, Email: [email protected].
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Abstract

Type
Letter to the Editor
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© Society for Disaster Medicine and Public Health, Inc. 2021

The incidence and mortality of coronavirus disease 2019 (COVID-19) are very different between countries and continents. They seem to be low in Africa, Oceania, and some countries of Asia, but high in Western Europe and America. Many factors could have a role in this disparity, including comorbidities. The most frequent comorbidities reported in COVID-19 were advanced age, obesity, cardiovascular disease, diabetes, and cancer. Data from Italy showed that more than two-thirds of those who died of COVID-19 had diabetes. Reference Remuzzi and Remuzzi1 The Seattle region was among the first to report body mass index data, and a sample showed that 85% of COVID-19 patients with obesity required mechanical ventilation and 62% of them died. Reference Bhatraju, Ghassemieh and Nichols2 In a Chinese report from 138 hospitalized COVID-19 patients, 14.5% had cardiovascular disease (CVD). Reference Wang, Hu and Hu3 A multi-center study including 105 patients with cancer and 536 noncancer patients infected with COVID-19 showed that COVID-19 patients with cancer had a higher risk in all severe outcomes. Reference Dai, Liu and Liu4

In this study, we selected 112 countries with populations of at least 2.5 million and 3 deaths per million people. The data on COVID-19 incidence and mortality are obtained from the Worldometers until July 19, 2020. The prevalence of obesity and diabetes were gathered from ProCon.org and Indexmundi.com, respectively. The incidence rates of all cancers were obtained from the Global Cancer Observatory. The prevalence of cardiovascular diseases was extracted from the Global Health Data Exchange. Finally, the prevalence of advanced age was collected from the Central Intelligence Agency (see Appendix). We used the Spearman test to assess the degree of correlation of COVID-19 incidence and mortality per 1 million people with advanced age, CVD, obesity, and cancer. All correlation coefficients were positively significant except the diabetes coefficient, which was positive but not significant (see Table 1; and Figure 1).

Table 1. Correlation coefficients of COVID-19 incidence and mortality with high age, obesity, diabetes, cardiovascular disease (CVD), and cancer

**Correlation is significant at the level 0.01 (2-tailed).

Figure 1. Association between COVID-19 morality per million as a function of prevalence of high age (65 y and over), number of cancer patients per 100,000, prevalence of cardiovascular diseases, prevalence of obesity, and prevalence of diabetes.

Our findings suggest that advanced age, CVD, cancer, and obesity are risk factors of COVID-19. Older people are more affected by COVID-19. This is due to the senescence of the immune system and frailty, which is a clinical syndrome characterized by an increased vulnerability to adverse health outcomes and aging-associated functional decline. CVD patients are more likely to be infected due to their deteriorated heart function. In fact, pre-existing CVD heightens the vulnerability to developing COVID-19 and to have more severe disease with worse clinical outcomes and prognosis. Cancer patients are at high risk for infection due to coexisting chronic diseases, overall weakened health status, and systemic immunosuppressive states caused by both cancer and anticancer treatments. Obesity is characterized by chronic inflammation associated with a decreased immune system, leading to susceptibility to infection. Additionally, patients with obesity show a restrictive breathing pattern and reduced lung volume. This evidence suggests that obesity may act as an independent risk.

The distinction between type 1 and 2 diabetes and the age distribution of diabetics are lacking in our study, which may explain why the correlation with diabetes was only positive but not significant. Indeed, not all diabetics are exposed to the same risks when faced with COVID-19. The study called CORONADO Reference Cariou, Hadjadj and Wargny5 made it possible to profile these diabetic patients at risk. The vast majority of patients hospitalized for COVID-19 presented with type 2 diabetes.

Conflict of Interest

The authors have no conflicts of interest to declare.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/dmp.2021.7

References

Remuzzi, A, Remuzzi, G. COVID-19 and Italy: what next? Lancet. 2020;395(10231):12251228. doi: 10.1016/S0140-6736(20)30627-9.CrossRefGoogle ScholarPubMed
Bhatraju, PK, Ghassemieh, BJ, Nichols, M, et al. Covid-19 in critically ill patients in the Seattle region-case series. N Engl J Med. 2020;382(21):20122022.CrossRefGoogle ScholarPubMed
Wang, D, Hu, B, Hu, C, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA. 2020;323(11):10611069. doi: 10.1001/jama.2020.1585 CrossRefGoogle ScholarPubMed
Dai, M, Liu, D, Liu, M, et al. Patients with cancer appear more vulnerable to SARS-COV-2: a multicenter study during the COVID-19 outbreak. Cancer Discov. 2020;10(6):783791.CrossRefGoogle ScholarPubMed
Cariou, B, Hadjadj, S, Wargny, M, et al. Phenotypic characteristics and prognosis of inpatients with COVID-19 and diabetes: the CORONADO study. Diabetologia. 2020;63:15001515.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Correlation coefficients of COVID-19 incidence and mortality with high age, obesity, diabetes, cardiovascular disease (CVD), and cancer

Figure 1

Figure 1. Association between COVID-19 morality per million as a function of prevalence of high age (65 y and over), number of cancer patients per 100,000, prevalence of cardiovascular diseases, prevalence of obesity, and prevalence of diabetes.

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