ABO and Rh blood groups, demographics, and comorbidities in COVID-19 related deaths: a retrospective study in Split-Dalmatia County, Croatia

Aim: To examine ABO and Rh blood group distribution in COVID-19 related deaths considering demographics and pathological conditions. Materials and Methods: We conducted a retrospective study at the University Hospital Centre Split, Croatia, that included 245 COVID-positive individuals that died from April 8, 2020, to January 25, 2021. From the hospital database, we extracted data on their blood groups, demographics, and pre-existing comorbidities. To compare findings with the general population, we used information from collected blood group donations (n = 101357) and statistical reports of non-COVID deaths from 2019 (n = 4968). Results: The proportion of males was significantly higher in analyzed subjects than in non-COVID deaths from 2019 (63.7% vs. 48.9%, P < 0.001), while the proportion of older individuals did not differ (P = 0.8). The most common pre-existing diseases were hypertension (59.6%), diabetes (37.1%), heart failure (28.8%), digestive disorder (26.5%), and solid tumor (21.6%). The ABO distribution in the deceased and donors' group showed statistically significant differences, with the higher prevalence of A/AB group and lower prevalence of 0, but with individual differences significant only for AB and non-AB groups. There was a significantly reduced proportion of females within the deceased with group 0 (P = 0.014) and a higher proportion of AB individuals with coronary heart disease (P = 0.024), while other differences were not significant. Conclusion: The study confirmed a higher risk of death in male individuals. The lower proportion of type 0 in deceased individuals was more pronounced in females, implying that group 0 is not necessarily an independent protective factor. Among analyzed comorbidities, coronary heart disease was identified as a potential risk factor for AB individuals.

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Distribution of ABO Blood Group and Major Cardiovascular Risk Factors with Coronary Heart Disease

BioMed Research International ◽

10.1155/2013/782941 ◽

2013 ◽

Vol 2013 ◽

pp. 1-5 ◽

Cited By ~ 8

Author(s):

Santanu Biswas ◽

Pradip K. Ghoshal ◽

Bhubaneswar Halder ◽

Nripendranath Mandal

Keyword(s):

Risk Factors ◽

Coronary Heart Disease ◽

Heart Disease ◽

Cardiovascular Risk ◽

Cardiovascular Risk Factors ◽

Blood Group ◽

Blood Groups ◽

Control Group ◽

Abo Blood Group ◽

Healthy Controls

The purpose of this study is to establish whether ABO blood group is related to coronary heart disease in an individual in Asian Indian Bengali population of eastern part of India. Two hundred and fifty (250) CHD patients and two hundred and fifty (250) age and sex matched healthy subjects were enrolled in the study. ABO blood group distribution in patients was compared with control group. Frequency of major cardiac risk factors was determined to find any correlation between blood groups and cardiovascular risk factors. The distribution of ABO blood groups in patients versus control group was A in 24.00 versus 21.60%, B in 30.80 versus 32.40%, O in 38.40 versus 21.60%, and AB in 6.80 versus 24.40%. The analysis showed significant difference in frequency of O (OR = 1.857, 95%CI = 1.112–3.100,P=0.018) and AB (OR = 0.447, 95%CI = 0.227–0.882,P=0.020) blood group between healthy controls and CHD individuals. Our results may suggest that the AB blood group decreases the risk of CHD in healthy controls, and it might be due to the higher concentration of high density lipoprotein cholesterol (HDL-c), while the O blood group increases the risk of CHD due to lower HDL-c levels in Bengali population of eastern part of India.

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Are ABO Gene Alleles Responsible for Cardiovascular Diseases and Venous Thromboembolism and Do They Play a Role in COVID?

10.5772/intechopen.100479 ◽

2021 ◽

Author(s):

Dennis J. Cordato ◽

Wissam Soubra ◽

Sameer Saleem ◽

Kaneez Fatima Shad

Keyword(s):

Coronary Heart Disease ◽

Heart Disease ◽

Venous Thromboembolism ◽

Cardiovascular Diseases ◽

Factor Viii ◽

Blood Group ◽

Blood Groups ◽

Group Type ◽

Blood Group Type ◽

Peripheral Arterial

Cardiovascular diseases (CVD) including coronary heart disease and stroke are leading causes of death and disability globally. Studies of the association between ABO blood groups and CVD have consistently demonstrated an increased risk of coronary heart disease, myocardial infarction, cerebral ischaemic stroke, peripheral arterial disease and venous thromboembolism (VTE) including deep vein thrombosis and pulmonary thromboembolism in patients who possess a non-O blood group type. The most likely mechanism is thought to be the increase in von Willebrand Factor (vWF) and factor VIII levels seen in patients with a non-O blood group. Other postulated mechanisms include elevations in circulating inflammatory markers such as endothelial cell and platelet adhesion molecules in subjects with a non-O blood group. More recently, it has also been recognised that individuals with a non-O blood group type carry a higher risk of SARS-C0V-2 infection and COVID-19 related complications. The increased levels in vWF and factor VIII amongst individuals with a non-O blood group who have contracted SARS-CoV-2 infection may result in an additive thrombophilic effect to that caused by the SARS-CoV-2 virus. Another postulated mechanism is that individuals with an O-blood group are protected by anti-A and B antibodies which possibly inhibit the binding of the SARS-CoV-2 spike protein to lung epithelium angiotensin converting enzyme-2 receptors. There are over 35 minor blood groups on red blood cells, some of which such as Kidd, Lewis and Duffy have been associated with CVD either alone or in combination with a non-O blood group allele(s). However, their role in SARS-CoV-2 infection and mechanism of action for an association with CVD remain unknown. This review explores the relationship between ABO and minor blood groups with CVD and VTE, with a focus on potential mechanisms underlying this relationship and the potential role of ABO blood group types in COVID.

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Faculty Opinions recommendation of Decreased risk of death from coronary heart disease amongst men with higher 'femininity' scores: a general population cohort study.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1126994.584119 ◽

2008 ◽

Author(s):

Wizdom Powell

Keyword(s):

Coronary Heart Disease ◽

Cohort Study ◽

Heart Disease ◽

General Population ◽

Risk Of Death ◽

Population Cohort ◽

General Population Cohort ◽

Population Cohort Study

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A retrospective study on the usefulness of the JJ risk engine for predicting the incidence rate of coronary heart disease in type 2 diabetes patients

BMC Research Notes ◽

10.1186/s13104-021-05508-9 ◽

2021 ◽

Vol 14 (1) ◽

Author(s):

Yasunari Yamashita ◽

Rina Kitajima ◽

Kiyoshi Matsubara ◽

Gaku Inoue ◽

Hajime Matsubara

Keyword(s):

Type 2 Diabetes ◽

Coronary Heart Disease ◽

Heart Disease ◽

Medical Records ◽

Low Frequency ◽

University Hospital ◽

Diabetes Treatment ◽

C Statistic ◽

Risk Engine

Abstract Objective In 2018, we conducted a retrospective survey using the medical records of 484 patients with type 2 diabetes. The observed value of coronary heart disease (CHD) incidence after 5 years and the predicted value by the JJ risk engine as of 2013 were compared and verified using the discrimination and calibration values. Results Among the total cases analyzed, the C-statistic was 0.588, and the calibration was p < 0.05; thus, the JJ risk engine could not correctly predict the risk of CHD. However, in the group expected to have a low frequency of hypoglycemia, the C-statistic was 0.646; the predictability of the JJ risk engine was relatively accurate. Therefore, it is difficult to accurately predict the complication rate of patients using the JJ risk engine based on the diabetes treatment policy after the Kumamoto Declaration 2013. The JJ risk engine has several input items (variables), and it is difficult to satisfy them all unless the environment is well-equipped with testing facilities, such as a university hospital. Therefore, it is necessary to create a new risk engine that requires fewer input items than the JJ risk engine and is applicable to several patients.

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