PDF(Pubmed)
Abstract：
BACKGROUND: The ABO blood group has long been recognized as a significant factor influencing susceptibility to infectious diseases. Numerous studies have explored the links between ABO blood types and both the likelihood of contracting COVID-19 and the severity of the infection, yielding conflicting results.
OBJECTIVE: This study intends to determine the influence of age, gender, the ABO blood group, and Rh factor on the potential development of COVID-19 infection.
METHODS: A cross-sectional, observational study collected data including age, gender, the ABO blood group, and Rh factor from 80 healthcare professionals at R. R. Dental College and Hospital in Udaipur with a positive history of COVID-19 infection via Google Forms (Google LLC, Mountain View, California, United States). Chi-square statistics assessed the distribution of blood types and antibodies within the samples. Odds ratio (OR) assays were used to assess the probability of a certain blood type or Rh factor with version 21.0 of the IBM Statistical Package for Social Sciences (SPSS) for Windows (IBM Corp, Armonk, NY).
RESULTS: In this study, the blood group type O was 45.2% (n = 33), type A was 21.9% (n = 16), type B was 24.7% (n = 18), and type AB was 8.2% (n = 6). Rh-positive samples were 87.7% (n = 64) and Rh-negative samples were 12.3% (n = 9). There was a statistically significant correlation between Type A (p = 0.001) and Type O (p = 0.049). Thirty-one participants (42.5%) were aged 20-30 years, 26 (35.6%) were aged 31-40 years, and 16 (21.9%) were aged 41-50 years. The statistical analysis revealed no statistically significant distinction among the age groups (p > 0.05).
CONCLUSIONS: The patients\' gender, age, and concurrent disorders are crucial risk variables that determine the severity of severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection. There is growing data indicating that the ABO blood group has a significant role in disease biology at physiological and biochemical levels. Hence, this study adds valuable information to strengthen and establish the potential role of factors, such as age and gender, in the possible pathogenicity of COVID-19 infection.
OBJECTIVE: This study intends to determine the influence of age, gender, the ABO blood group, and Rh factor on the potential development of COVID-19 infection.
METHODS: A cross-sectional, observational study collected data including age, gender, the ABO blood group, and Rh factor from 80 healthcare professionals at R. R. Dental College and Hospital in Udaipur with a positive history of COVID-19 infection via Google Forms (Google LLC, Mountain View, California, United States). Chi-square statistics assessed the distribution of blood types and antibodies within the samples. Odds ratio (OR) assays were used to assess the probability of a certain blood type or Rh factor with version 21.0 of the IBM Statistical Package for Social Sciences (SPSS) for Windows (IBM Corp, Armonk, NY).
RESULTS: In this study, the blood group type O was 45.2% (n = 33), type A was 21.9% (n = 16), type B was 24.7% (n = 18), and type AB was 8.2% (n = 6). Rh-positive samples were 87.7% (n = 64) and Rh-negative samples were 12.3% (n = 9). There was a statistically significant correlation between Type A (p = 0.001) and Type O (p = 0.049). Thirty-one participants (42.5%) were aged 20-30 years, 26 (35.6%) were aged 31-40 years, and 16 (21.9%) were aged 41-50 years. The statistical analysis revealed no statistically significant distinction among the age groups (p > 0.05).
CONCLUSIONS: The patients\' gender, age, and concurrent disorders are crucial risk variables that determine the severity of severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection. There is growing data indicating that the ABO blood group has a significant role in disease biology at physiological and biochemical levels. Hence, this study adds valuable information to strengthen and establish the potential role of factors, such as age and gender, in the possible pathogenicity of COVID-19 infection.
摘要：
背景：长期以来，人们一直认为ABO血型是影响感染性疾病易感性的重要因素。许多研究探索了ABO血型与感染COVID-19的可能性和感染的严重程度之间的联系，产生相互矛盾的结果。
目的：本研究旨在确定年龄的影响，性别,ABO血型,和Rh因子对COVID-19感染潜在发展的影响。
方法：横截面，观察性研究收集的数据包括年龄，性别,ABO血型,和来自乌代浦尔R.R.牙科学院和医院的80名医疗保健专业人员的Rh因子，这些专业人员通过谷歌表格(谷歌有限责任公司，山景,加州,美国)。卡方统计评估了样本中血型和抗体的分布。使用Windows版IBM社会科学统计软件包（SPSS）的21.0版（IBMCorp，Armonk,NY).
结果：在这项研究中，O型血占45.2%(n=33),A型为21.9%(n=16)，B型为24.7%(n=18)，AB型为8.2%(n=6)。Rh阳性样本为87.7％（n=64），Rh阴性样本为12.3％（n=9）。A型（p=0.001）和O型（p=0.049）之间存在统计学上的显着相关性。31名参与者（42.5%）年龄在20-30岁之间，26人(35.6%)年龄在31-40岁之间，16人（21.9%）年龄在41-50岁之间。统计学分析显示各年龄组间差异无统计学意义(p>0.05)。
结论：患者的性别，年龄,和并发疾病是决定严重急性呼吸道综合征-冠状病毒2(SARS-CoV-2)感染严重程度的关键风险变量.越来越多的数据表明，ABO血型在生理和生化水平的疾病生物学中具有重要作用。因此，这项研究增加了有价值的信息，以加强和建立因素的潜在作用，比如年龄和性别，在COVID-19感染的可能致病性中。
目的：本研究旨在确定年龄的影响，性别,ABO血型,和Rh因子对COVID-19感染潜在发展的影响。
方法：横截面，观察性研究收集的数据包括年龄，性别,ABO血型,和来自乌代浦尔R.R.牙科学院和医院的80名医疗保健专业人员的Rh因子，这些专业人员通过谷歌表格(谷歌有限责任公司，山景,加州,美国)。卡方统计评估了样本中血型和抗体的分布。使用Windows版IBM社会科学统计软件包（SPSS）的21.0版（IBMCorp，Armonk,NY).
结果：在这项研究中，O型血占45.2%(n=33),A型为21.9%(n=16)，B型为24.7%(n=18)，AB型为8.2%(n=6)。Rh阳性样本为87.7％（n=64），Rh阴性样本为12.3％（n=9）。A型（p=0.001）和O型（p=0.049）之间存在统计学上的显着相关性。31名参与者（42.5%）年龄在20-30岁之间，26人(35.6%)年龄在31-40岁之间，16人（21.9%）年龄在41-50岁之间。统计学分析显示各年龄组间差异无统计学意义(p>0.05)。
结论：患者的性别，年龄,和并发疾病是决定严重急性呼吸道综合征-冠状病毒2(SARS-CoV-2)感染严重程度的关键风险变量.越来越多的数据表明，ABO血型在生理和生化水平的疾病生物学中具有重要作用。因此，这项研究增加了有价值的信息，以加强和建立因素的潜在作用，比如年龄和性别，在COVID-19感染的可能致病性中。
