Blood Groups in Health and in Mental Disease

1939 ◽  
Vol 85 (357) ◽  
pp. 667-688 ◽  
Author(s):  
John C. Thomas ◽  
E. J. C. Hewitt

The distribution of the blood-groups in persons suffering from mental disease has been widely investigated, but the literature is full of conflicting statements. It may fairly be taken that no one has yet demonstrated any statistically significant alteration of the blood-group distribution in any other disease, but there have been many claims for variation in mental diseases.

1963 ◽  
Vol 09 (02) ◽  
pp. 472-474 ◽  
Author(s):  
W Dick ◽  
W Schneider ◽  
K Brockmüller ◽  
W Mayer

SummaryA comparison between the repartition of the blood groups in 461 patients suffering from thromboembolic disorders and the normal distribution has shown a statistically ascertained predominance of the group A1. On the other hand the blood groups 0 and A2 are distinctly less frequent than in the normal distribution.


2000 ◽  
Vol 6 (1) ◽  
pp. 156-158
Author(s):  
T. Pramanik ◽  
S. Pramanik

The frequencies of ABO and rhesus blood groups vary from one population to another. We studied blood group distribution in 120 Nepalese students; 34% were blood group A, 29% group B, 4% group AB and 32.5% group O. The frequency of Rh-negative blood was 3.33% and Rh-positive 96.66%


2008 ◽  
Vol 41 (02) ◽  
pp. 138-140
Author(s):  
Rasoul Gheisari ◽  
Mehdi Ghoreishian ◽  
Movahedian Bijan ◽  
Roozbehi Amrolah

ABSTRACT Background: Blood group is a genetic characteristic which is associated with some diseases and deformities. Multifactorial characteristics of facial development make it difficult to predict a genetic pattern in a specific maxillofacial deformity, but epidemiological evaluations can reveal relationships between such deformities and some genetic characteristics or accompanied diseases, and this will help to recognise and treat them. The aim of this study is evaluation of the relationship between blood groups and maxillofacial deformities. Materials and Methods: In this study, blood groups of 190 patients with maxillofacial deformities who had had orthognathic surgery in Alzahra hospital, Isfahan, were compared with the general Iranian population. Results: Among 190 patients, 93 cases (49%) were men and 97 cases (51%) were women. Fifteen cases (8%) were < 20 years old, 130 cases (68%) were 20-30 years old, and the others (45 cases, 24%) were > 30 years old. The blood group distribution in our samples was as follows: blood group O = 76 cases (40%), blood group A = 58 cases (30%), blood group B = 41 cases (22%), and blood group AB = 15 cases (8%). Among these patients, 31 cases (16%) had maxillary deformities and 27 cases (14%) suffered from mandibular deformities while the other 132 cases (70%) had bimaxillary problems. The Chi-square test showed statistically significant differences between the blood group distribution of the patients of this study and the normal Iranian population ( P < 0.001). Conclusion: It was shown that among different blood groups; those with blood group B have a greater likelihood of association with maxillofacial deformities. On the other hand, the probability of the association of such deformities was the least with blood group A.


2013 ◽  
Vol 1 (2) ◽  
pp. 17-20 ◽  
Author(s):  
Kshitiz Uphaday-Dhungel ◽  
GN Banskota ◽  
PK Das ◽  
A Sohal

Background and Objectives: The distribution of ABO and Rh blood groups vary from population to population. With an interest of finding out rare blood group in Nepalese population, we studied the blood group distribution was studied in five different medical colleges in Nepal. Material and Methods: Capillary Blood sample were taken to determine blood group of of 2208 twenty two hundred and eight Nepalese students from five different medical colleges, viz. Manipal College of medical sciences, Pokhara; Nepalgunj Medical College, Chisapani, Banke ; College of Medical sciences, Bharatpur, Chitwan; Kist Medical College, Lalitpur and Janaki Medical College, Janakpur were recorded. Slide test method was used to determine the blood group of the subjects. Results: In our study subjects, 28.17% were blood group A, 30.17% were blood group B, 34.87% were blood group O and 6.79% were blood group AB. Similarly, 95.38% were Rh +ve and 4.62% were Rh –ve. The blood group distribution patterns in male and female were different. Conclusion: This result demonstrates that AB blood group is the most rare blood group among the studied Nepalese population, followed by group A, B and O. Janaki Medical College Journal of Medical Sciences (2013) Vol. 1 (2): 17-20 DOI: http://dx.doi.org/10.3126/jmcjms.v1i2.9263


2020 ◽  
Author(s):  
Minfei Peng ◽  
Shigao Huang ◽  
Shitu Zhu ◽  
Chaochao Chen ◽  
Jiajia Qin ◽  
...  

Abstract Background Since December 2019, the novel coronavirus pandemic (COVID-19) has become a global health emergency. To date, studies on the correlation between ABO blood groups and COVID-19 infected risk had rarely reported. This study aimed to describe the ABO blood groups distribution and association to low risk of COVID-19 infection for effectively concerning about the susceptible population. Methods We included 138 COVID-19 diagnosed patients and 82 non- COVID-19 patients between January 21 and February 20, 2020.We compared ABO blood group distribution, gender distribution and correlation analysis in Severe, Non-severe and Non-COVID19 patients, and analyzed the laboratory indexes of type O and non-type O groups in COVID19 patients. Results The laboratory results were significantly difference between type O and non-type O COVID19 patients (P < 0.05). Patients with blood type O had lower risk of severe COVID-19 infection (χ2 = 4.066, p = 0.044, OR = 0.380), and especially, female with the type O blood had lower risk in deteriorating severe COVID19 infection (p = 0.049). Conclusion Patients with the blood group of type O had relatively lower risk of COVID19 infection, especially, female with the type O blood had lower risk in deteriorating severe COVID19 infection. We should concern more to the patients with non-type O blood to minimize the risk of COVID19 infection.


1939 ◽  
Vol 85 (357) ◽  
pp. 689-695
Author(s):  
John C. Thomas ◽  
E. J. C. Hewitt

We have previously investigated the blood-group distribution in a series of normal persons and mental patients and shown that there is no significant difference between the two groups (Thomas and Hewitt, 1939). As an ancillary procedure in the investigation of any possible differences in the serological make-up of persons suffering from mental disease, we have determined the iso-agglutinin titres in a similar series of normal and mental patients. On prima facie grounds no difference is to be expected, and in the result, no difference was found.


1964 ◽  
Vol 50 (6) ◽  
pp. 473-476 ◽  
Author(s):  
Giorgio Iraci ◽  
Gian Guido Toffolo

Statistical analysis of the variations in blood group distribution among 470 consecutive cases of meningioma, operated at the Institute of Neurosurgery of the University of Padua, shows a statistically significant increase in the frequency of group B.


2019 ◽  
Vol 10 (5) ◽  
pp. 37-42
Author(s):  
Ikechukwu Eugene Onah ◽  
Ezinne Veronica Moses ◽  
Ifeyinwa Esther Ugwuoke ◽  
Sabina Chioma Eze ◽  
Jude Ifeanyichukwu Okwor ◽  
...  

Background: The ABO blood group and Rhesus (Rh) factor remain the most important blood group in transfusion medicine. Knowledge of ABO and rhesus blood group distribution within a population is indispensable for transfusion medicine, clinical and marriage counselling. Aims and Objectives: The objectives of this study were to provide data and compare the pattern of ABO and rhesus blood group distribution between a homogenous and a heterogenous population. Material and Methods: Blood was collected from 352 University students representing a heterogenous population and 235 primary school pupils in a local community representing homogenous population. The ABO and rhesus blood groups were determined using white tile and agglutination methods. Results: Among the 352 and 235 individuals studied in UNN and HFNP, blood groups O had the highest frequency with 54.80% and 51.06% respectively while blood group AB had the least frequency of 4.50% and 3.40% in UNN and HFNP respectively. Rhesus positive had the highest frequency of 88.63% and 95.33% while rhesus negative had the frequencies of 11.35% and 4.68% in UNN and HFNP respectively. Rhesus negative was highest among females in UNN 26 (7.37%) while males had the highest rhesus negative 7 (2.98%) in HFNP. In both study populations, there was no significant difference in ABO and rhesus blood group distribution between the males and females (P > 0.05). Conclusions: A homogenous population is associated with low prevalence of rhesus negative compared to a heterogenous population.


Author(s):  
Asteray Assmie Ayenew

Abstract Background Transplacental or fetomaternal hemorrhage (FMH) may occur during pregnancy or at delivery and lead to immunization to the D antigen if the mother is Rh-negative and the baby is Rh-positive. This can result in hemolytic disease of the fetus and newborn (HDFN) in subsequent D-positive pregnancies. Therefore, the aim of this systematic review and meta-analysis was to estimate distribution of ABO and Rh (D) blood groups among pregnant women in Ethiopia. Method We searched PubMed, Google Scholar, EMBASE, Cochrane Library, HINARI, AFRO Library Databases, and African Online Journal databases for all available studies using the following keywords: “High rhesus (Rh(D)) negative frequency”, “ABO blood group distribution”, “haemolytic disease of the newborn (HDN)”, “rh isoimmunization”, “anti-RhD immunoglobulin”, “D-negative pregnancies”, “Frequency”, “ABO and Rh blood group distribution”, “feto-maternal hemorrhage”, “rhesus D negative pregnant mothers”, “kleihauer-betke test (KBT)”, “Neonatal Hyperbilirubinemia”, “non-sensitized RhD-negative pregnant women”, “antenatal anti-D immunoglobulin prophylaxis”, “Hemolytic disease of the newborn (alloimmunization), Ethiopia. The search string was developed using “AND” and “OR” Boolean operators. All published and unpublished observational studies reporting the distribution of ABO and Rh (D) blood groups among pregnant women in Ethiopia were included. The study participants were all pregnant women in Ethiopia, and the main outcome measure of this systematic review and meta-analysis was Rhesus D-negative blood type and ABO blood group distribution among pregnant women in Ethiopia. The data was extracted by the author (AAA) by using a standardized JBI data extraction format. Microsoft Excel (2016), and Stata version 11.0 (Stata Corporation, College Station, Texas, USA) software were used for data entry and analysis, respectively. The random effect model was used for estimating the pooled effects, and the publication bias was assessed by visual inspection of the funnel plots and objectively by using the Egger’s test (i.e. p < 0.05). Results One hundred thirty-two articles were identified through electronic database searching. Of which, 34 were excluded due to duplication, 65 through review of titles and abstracts, and 22 full-text articles were excluded for not reporting the outcome variable and other reasons. Finally, 7 were included to estimate the distribution of ABO and Rh (D) blood groups among pregnant women in Ethiopia. The pooled distribution of Rh-negative blood group among pregnant women in Ethiopia was 10.8% (95%CI: 7.53–14.07, I2 = 85%, p < 0.001). In the ABO system, type O was the most prevalent 39.9% (37.51–42.38), followed by A (30.59% (26.00–35.18)), B (23.04% (20.03–26.05)), and AB the least (4.82%(3.17–6.47)), in the pattern O > A > B > AB. Conclusion The pooled distribution of Rh-negative blood group among pregnant women in Ethiopia was high. Rh alloimmunization remains a major factor responsible for perinatal morbidity in Ethiopia and may result in the compromise of the woman’s obstetric care due to the unaffordability of anti-D immunoglobulin. There is the urgent need for the implementation of universal access to anti-D immunoglobulin for the Rh-negative pregnant population in Ethiopia.


2018 ◽  
Vol 5 (3) ◽  
pp. A77-82 ◽  
Author(s):  
Neelam Sahani ◽  
Chintamani Pathak ◽  
Somshankar Chowdhury ◽  
Preeti Sharma ◽  
Shweta Sushmita ◽  
...  

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