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Erschienen in: Indian Journal of Hematology and Blood Transfusion 1/2024

Open Access 08.07.2023 | ORIGINAL ARTICLE

Analysis of Rhesus (Rh) Antigen Distributions in Donors and Multi-transfused Patients for Phenotype-Matched Transfusion

verfasst von: Yuhong Zhao, Ni Yao, Yan Lv, Dawei Cui, Jue Xie

Erschienen in: Indian Journal of Hematology and Blood Transfusion | Ausgabe 1/2024

Abstract

Knowledge about the frequency of Rh blood group systems in the local population help build a donor pool for multi-transfused patients and provide antigen-negative compatible blood for patients with alloantibodies. ABO and Rh antigens were identified for blood donors and patients before transfusion. The antiglobulin test based on the micro-column gel method was used to perform unexpected antibody screening and identification for patients in pre-transfusion testing. The incidence of the adverse transfusion reactions and the accordance rate of Rh phenotype-matched transfusion were analyzed retrospectively. A total of 246,340 specimens were detected with Rh blood group antigens D, C, E, c, and e. Rh D antigen was the most common phenotype with a frequency of 99.40%, followed by e antigen, C antigen, c antigen, and E antigen. In Rh D positive specimens, DCe was the most common phenotype, while DCE was the least common. At the same time, in Rh D negative specimens, ce was the most common phenotype with CE and CcE unobserved. Rh phenotype-matched transfusion has been conducted in our department since 2012. The accordance rate of Rh phenotype-matched transfusion has been kept above 95% and the resulting incidence of adverse transfusion reactions has been decreasing year by year, from 19.95‰ in 2011 to 2.21‰ in 2021. Blood transfusion with matched Rh phenotypes was able to avoid the generation of unexpected antibodies, reduce the incidence of adverse transfusion reactions, and enhance precise diagnosis and treatment.
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Introduction

Since the 1940s, many blood group antigens have been discovered. Till now, 43 blood group systems have been identified with 345 red blood cell (RBC) antigens [1, 2], according to the International Society for Blood Transfusion (ISBT). Among these blood group systems, the Rh blood group system has been the most polymorphic with 55 antigens confirmed by the ISBT. Of these antigens, Rh antigens D, C, E, c, and e are the most clinically relevant with their antigenicities from the strongest to the weakest being D > E > C > c > e [3]. Currently, Rh D and ABO blood group systems have been recognized as the most significant clinically due to their massive applications in clinical blood transfusion therapy.
In most blood transfusion departments (blood banks) of various hospitals, only the matching of the ABO blood group system and Rh D blood group antigen are currently required between blood donors and patients in pretransfusion testing. However, random transfusion of ABO and Rh D compatible blood with unknown Rh phenotypes, especially in multi-transfused patients (n > 2), may lead to the generation of alloantibodies as a result of alloimmune responses. These alloantibodies are responsible for fatal hemolytic transfusion reactions (HTRs) and serious hemolytic disease of the fetus and the newborn (HDFN) [46].
Our department started to detect the other Rh-specific antigens (C, E, c, and e) in multi-transfused patients, be matched for the component blood transfusion of ABO and Rh phenotype since 2012, and generalized the detection to all patients who might need blood transfusion since 2014. Rh phenotype-matched transfusion can reduce the incidence of alloimmunization and the rate of adverse transfusion reactions for patients, especially in multi-transfused patients.
Detection of other Rh antigens (C, E, c, and e) in pretransfusion testing is beneficial to prevent alloimmunization, especially for multi-transfused patients [79]. To this end, our department started to detect Rh antigens C, E, c, and e in multi-transfused patients (n > 2), and conduct the component blood infusion with matched ABO and Rh phenotypes in 2012. Later in 2014, this kind of pretransfusion test was applied to all the patients in need of blood transfusion. After the Rh phenotype-matching transfusion, the incidence of adverse transfusion reactions in our hospital decreased year by year. In addition, the survival of RBCs was enhanced with the required number of transfusions decreased.
Here in this contribution, we would like to present the obtained results in terms of Rh antigens D C, E, c, and e in our hospital. Frequencies of Rh-specific antigens were calculated. The frequencies of Rh D phenotypes were determined and analyzed in Rh D positive specimens. The results were then compared with available data in the literature. The results showed that the crossmatch of Rh D phenotypes along with ABO for pre-transfusion compatibility testing is beneficial to the reduction of alloimmunization. In addition, the distribution of unexpected antibodies in patients was explored to provide clues for the generation of Rh blood group antibodies and related clinical solutions.

Materials and Methods

Studied Populations

In this study, 129,078 patient samples requiring clinical blood transfusion were collected in our hospital (The First Affiliated Hospital, College of Medicine, Zhejiang University) from January 2013 to August 2021 (A multi-transfused patient is regarded as one sample). 117,262 blood donor samples were provided by the Blood Center of Zhejiang Province (Duplicated samples were removed based on their Blood Center ID numbers). The study was approved by the Institutional Ethics Committee of our hospital, and written informed consent was obtained from all participants.

Instruments and Reagents

For the antiglobulin test, micro-column gel reaction cards were purchased from DiaMed GmbH. The instruments and reagents for Rh blood group system identification were bought from Bioxun Biotech Co., Ltd. The panel cells (a set of 16 types) were purchased from Sanquin Reagents B.V. Ltd. The main instruments include an incubator (DiaMed GmbH.) and centrifuge (BASO Gas Products LLC).

Methods

The Rh phenotypes of all donor and patient samples were detected according to the protocols of instrument providers. Antibodies were screened by antiglobulin test based on the micro-column gel method for all patients in need of clinical blood transfusion. The screened unexpected antibodies were then identified by saline method and antiglobulin test method. All the above laboratory test results were independently obtained by two different operators.

Statistical Analysis

Frequencies of the Rh-specific antigens (D, C, E, c, and e) were obtained by direct counting of the number of given antigens. The final results were expressed as a percentage. Excel 2019 was used to manage and preprocess the data. All the statistical analysis was performed using the Rstudio software.

Results and Discussion

A total of 246,340 samples were collected for the study, with 117,262 donor samples and 129,078 patient samples. Among these samples, 244,870 samples tested positive for Rh D antigen while the remaining 1470 samples tested negative. Both ABO and Rh antigens (D, C, E, c, and e) were detected for all 246,340 samples.

Antigen and Allele Frequencies in the Total Population Studied

The distributions of ABO and Rh blood group systems in all the patient and donor samples are shown in Fig. 1. The percent positive rate of Rh D in the total population studied was shown to be 99.40%. To be more accurate, in the patient population, the rates of positivity and negativity of Rh D were 99.6% (128,546 out of 129,078) and 0.4% (532 out of 129,078), respectively. Meanwhile, in the donor population, the corresponding rates of positivity and negativity were 99.2% (116,324 out of 117,262) and 0.8% (938 out of 117,262), respectively. As for the ABO blood group system, the most common blood group was found to be O, followed by A, B, and AB.
At the same time, the allele frequencies and corresponding prevalence of antigens for the Rh blood group system was shown in Table 1. A direct observation could be made that D (99.40%) was the most common Rh antigen, followed by e (92.61%), C (88.77%), c (53.63%), and E (44.94%).
Table 1
Rh antigens in the studied population (n = 246,340)
Antigen
Allele frequency in studied population (%)
Total number
Percentage prevalence of antigens
Present study (%)
95% CI**
D
244,870
99.40
[99.37, 99.43]
C
67.57
218,668
88.77
[88.64, 88.89]
E
26.17
110,712
44.94
[44.75, 45.14]
c
32.43
132,117
53.63
[53.43, 53.83]
e
73.83
228,141
92.61
[92.51, 92.72]
**95% confidence intervals

Rh Antigen Frequencies in the Studied Population

We were also interested in the distribution of other Rh antigens (C, E, c, e) and their relations with the Rh D antigen. In this sense, we summarized the frequencies of different Rh antigens in the population that tested positive and negative for Rh D antigen in Tables 2 and 3, respectively.
Table 2
Prevalence of other Rh antigens in Rh D positive population (n = 244,870)
Antigen
ABO
A
B
O
AB
Total
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
C
68,022
89.18
58,818
89.00
72,798
88.95
18,456
89.28
218,094
89.06
E
34,634
45.41
30,002
45.40
36,803
44.97
9179
44.40
110,618
45.17
c
40,968
53.71
35,453
56.65
43,527
53.19
10,802
52.25
130,750
53.40
e
70,631
92.61
61,215
92.63
75,656
92.44
19,174
92.75
226,676
92.57
Table 3
Prevalence of other Rh antigens in Rh D negative population (n = 1470)
Antigen
ABO
A
B
O
AB
Total
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
C
181
39.01
120
35.82
207
41.57
66
38.15
574
39.05
E
15
3.23
27
8.06
42
8.43
10
5.78
94
6.39
c
425
91.59
312
93.13
477
95.78
153
88.44
1367
92.99
e
462
99.57
334
99.70
496
99.60
173
100.00
1465
99.66
As shown in Table 2, among the 244,870 specimens that tested positive for Rh D antigen, the most common Rh antigen was e (92.57%), followed by C (89.06%), c (53.40%), and E (45.17%). Hence, the frequencies of the Rh antigens were sequenced from the greatest to the smallest as D > e > C > c > E.
As for the 1470 specimens that tested negative for Rh D antigen, it was found that the most common Rh antigen was e (99.66%), followed by c (92.99%), C (39.05%), and E (6.39%). The resulting sequence of frequencies of Rh antigens was e > c > C > E, as shown in Table 3.

Rh Phenotype Frequency

A more practical interest was placed upon the frequencies of Rh phenotypes in the population that tested positive for Rh D antigen. As shown in Table 4, nine Rh phenotypes were considered, in which the most common one was DCe (45.85%), followed by DCcEe (33.62%), DCce (8.61%), DcE (7.19%), and DcEe (3.338%). It should be noted that altogether 33 specimens showed the Rh phenotype DCE with a frequency smaller than 0.1%. In Table 4, we provided more information in the sense that the frequency distributions of Rh antigens were also tabulated with the related ABO blood group system. In this way, we were able to extract some information about the distribution of Rh antigens in the populations with different ABO blood groups. In this process, the 2019 version of the AABB standard for Rh phenotypes was adopted.
Table 4
Rh phenotypes frequency in the study of Rh D positive population (n = 244,870)
Antigen
ABO
A
B
O
AB
Total
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
DCe
34,705
45.50
30,162
45.64
37,709
46.08
9693
46.89
112,269
45.85
DCEe
589
0.77
464
0.70
590
0.72
15
0.85
1818
0.74
DCE
9
0.01
8
0.01
14
0.02
2
0.01
33
0.01
DCce
6632
8.70
5697
8.62
7030
8.59
1725
8.34
21,084
8.61
DCcEe
25,915
33.98
22,339
33.80
27,266
33.32
6816
32.97
82,336
33.62
DCcE
172
0.23
148
0.23
189
0.23
45
0.22
554
0.23
Dce
300
0.39
226
0.34
298
0.36
75
0.36
899
0.37
DcEe
2490
3.26
2327
3.52
2763
3.37
690
3.34
8270
3.38
DcE
5459
7.16
4716
7.14
5981
7.31
1451
7.02
17,607
7.19
To make things complete, the same procedure was conducted for the specimens that tested negative for Rh D antigen and the results were shown in Table 5. In reality, only seven different Rh phenotypes were identified in the study, in which ce was the most common (56.46%), followed by Cce (30.27%), Ce (6.87%), cEe (4.15%), and CcEe (1.77%). The other two possible Rh phenotypes CcE and CE were not found in our study, however.
Table 5
Rh phenotypes frequency in the study of Rh D negative population (n = 1470)
Antigen
ABO
A
B
O
AB
Total
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
Number
Percentage (%)
Ce
38
8.19
23
6.87
20
4.02
20
11.56
101
6.87
CcEe
2
0.43
7
2.09
13
2.61
4
2.31
26
1.77
Cce
140
30.17
90
26.87
173
34.74
42
24.28
445
30.27
cE
2
0.43
1
0.30
2
0.40
0
0
5
0.34
cEe
10
2.16
19
5.67
26
5.22
6
3.47
61
4.15
CcE
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
CEe
1
0.22
0
0.00
1
0.20
0
0.00
2
0.14
CE
0
0.00
0
0.00
0
0.00
0
0.00
0
0.00
ce
271
58.41
195
58.21
263
52.81
101
58.38
830
56.46

Comparisons with Other Regional Populations in the Literature

In Table 6, we listed the results of the present study and compared them with other available data in terms of Rh antigens in the literature. It was clearly shown that though DCe was found to be the most common Rh phenotype in all the regional populations, the practical frequencies varied much. Indeed, significant differences were noted between the results in Thais and Malaysia and our results. As for the three pieces of research in terms of the Chinese population, the frequency distribution of different Rh phenotypes was in good accordance with each other. One point to be noted was that the frequency distribution of Rh phenotype DCE reported in this study was different from that of the other two available.
Table 6
Frequency distributions of Rh antigens and phenotypes in different populations
Antigens and phenotypes
Phenotype frequencies percentage (%)
Chinese (this study)
Chinese [25]
Taiwan Chinese [25]
Thais [25]
Chinese in Malaysia [25]
North Indians [25]
Indian [25]
C
89.06
88.00
91.60
95.50
96.00
87.10
84.80
c
53.40
57.50
51.60
34.40
34.50
51.50
17.60
E
45.17
50.40
43.50
32.20
23.00
19.70
56.00
e
92.57
91.20
93.80
96.80
97.50
91.60
99.40
DCe
45.85
41.16
47.80
60.00
61.50
40.95
44.00
DCEe
0.74
0.57
0.90
5.40
3.50
0.32
DCE
0.01
0.14
0.00
0.10
0.00
0.00
DCce
8.61
7.59
8.20
7.40
15.00
30.91
30.20
DCcEe
33.62
38.87
34.60
22.10
15.00
14.54
10.20
DCcE
0.23
0.64
0.30
0.50
1.00
0.40
Dce
0.37
0.36
0.30
0.30
0.00
1.15
2.20
DcEe
3.38
3.65
2.00
1.70
3.00
3.69
6.80
DcE
7.19
7.02
5.90
2.50
1.00
0.78
0.60

Effectiveness Analysis of the Rh Phenotype Matching Transfusion

As stated in the previous section, our department started to detect the Rh antigens (D, C, E, c, and e) in multi-transfused patients (n > 2), and matched them as well as ABO blood group before conducting component blood infusion in 2012. And this practice was generalized to all the patients for blood transfusion in 2014. The resulting rate of Rh antigen phenotype-matched transfusion was shown in Fig. 2, with the numbers of annual units of blood transfusion and the annual units of blood matched. At present, the accordance of Rh phenotype matching has been kept above 95%.
In this way, the annual number of adverse transfusion reactions recorded decreased from 62 in 2011 to 17 in 2020. Note that in the first 8 months of 2021, 7 transfusion reactions were recorded. With this in mind, we plotted the annual number of blood transfusions and the incidence of adverse reactions in Fig. 3a. It was clearly shown that the incidence of adverse transfusion reactions decreased as the matching of Rh antigens C, E, c, and e was adopted. The incidence rate of adverse transfusion reactions decreased from 19.95‰ in 2011 to 2.21‰ in 2021 (only the first 8 months of the year 2021).
With the remarkable effectiveness of Rh antigen phenotype-matched transfusion, all patients requiring blood transfusion also received antibody screening in pretransfusion testing. In total, 626 patients with unexpected antibodies were found, including 69 autoantibodies and 557 homologous antibodies. Of all the patients with homologous antibodies detected, 323 with Rh blood group system antibodies were identified, among which 82.35% were with anti-E antibodies (266 out of 323). Annual data for the detected unexpected antibodies were shown in Table 7. We again tried to correlate the accordance rate of Rh phenotype-matched transfusion concerning the incidence of adverse transfusion reactions, the percentage of detected unexpected antibodies, and the percentage of detected anti-E antibodies, and plotted the results in Fig. 3b–d, respectively. It was clearly shown that the accordance rate of Rh phenotype-matched transfusion was negatively correlated to the incidence of adverse transfusion reactions with a correlation coefficient of − 0.91. At the same time, moderate correlations were found between the accordance rate of Rh phenotype-matched transfusion and the percentage of detected unexpected antibodies and the percentage of detected anti-E antibodies, though the corresponding p values are not showing any statistical evidence. We then asserted with some confidence that the increase in the accordance rate of Rh phenotype-matched transfusion contributed to the decreased incidence of adverse transfusion reactions.
Table 7
Distribution of unexpected antibody patients from 2011 to Aug 2021
Year
Number of patients with unexpected antibodies
Number of patients with Rh system antibodies
Number of patients with anti-E antibody
Number of patients with autoantibodies
Detection rate of anti-E antibody (%)
2012
11
8
5
0
45.45
2013
36
22
20
6
55.56
2014
29
21
15
5
51.72
2015
26
17
13
5
50.00
2016
44
23
22
5
50.00
2017
70
36
29
8
41.43
2018
104
43
36
11
34.62
2019
155
78
68
21
43.87
2020
100
52
38
7
38.00
2021
51
23
20
1
39.22
Total
626
323
266
69
42.49

Discussion

Since the discovery of the ABO blood group system by Landsteiner, many different blood group systems have been identified and reported. According to the ISBT, there are now 345 antigens identified within the 43 blood group systems found. Knowledge about the frequencies of Rh phenotypes can be quite helpful in clinical applications. A donor bank based on this can be established to better provide antigen-negative compatible blood to patients with multiple alloantibodies and multi-transfused patients (e.g. thalassemia). Besides, this can help reduce the risk of alloimmunization caused by the mismatch of antigen phenotypes between blood donors and patients.
Several investigations concerning the Rh phenotypes and genotypes in regional or racial/ethnic populations were available in the literature [1016]. Based on the clinical operations in our hospital in Zhejiang China since 2012, the current contribution summarized the distributions of Rh phenotypes in the local population and necessitated the detection and matching of Rh phenotypes before blood transfusion. The obtained results were also compared with those available in the literature.
In this study, blood group O was found to be the most common blood group, followed by blood group A. This was consistent with the studies in Europe, America, and South East Asia [10, 11]. However, in some areas such as central Asia and Africa, Blood group B instead of O was the most common blood group system [12, 13].
When it came to the polymorphic Rh blood group system, the frequency of Rh D antigen was as high as 99.4% in the studied population in Zhejiang China, which was significantly different from other racial populations like the white population (85%) and black population (92%) [14].On the contrary, the negative and positive rates of Rh antigen E in the studied population were roughly the same as those shown in the literature. It was confirmed that the detection rate of Rh antigen E was 45.17% in this study. It meant that almost half of the population have different test results in terms of the detection of Rh antigen E. In this regard, we could conclude that the incidence of incompatibility of the Rh E blood group was much higher than that of other Rh blood groups. Hence it was highly possible for patients receiving blood transfusion to produce anti-E antibodies, no matter what amount of blood was transfused. This point was critically important in clinical applications, especially when patients with rare blood groups needed a blood transfusion.
After analyzing the frequencies of Rh antigens (C, E, c, and e) in Rh D positive and negative populations, it was found that in Rh D positive population, Rh antigen e (92.57%) was the most prevalent, followed by Rh antigen C (89.06%). Nonetheless, the prevalence of Rh antigen C (39.05%) was very low in Rh D negative population, while the most prevalent Rh antigen was e (99.66%), followed by Rh antigen c (92.99%). Therefore, it would be clinically difficult to find donors or patients without Rh e antigen [15]. For Rh antigens C and c, it was found that the frequency of Rh antigen c was 53.63%, which was similar to some results presented in the literature [10,11,14,15]. Lower frequencies of Rh antigen c were found in Thais (34.40%) and Malaysia (34.50%) [12,13]. It was found that Rh antigen E was the least common in Rh D positive and negative populations, consistent with previous reports' results [16].
Comparisons of the obtained frequencies of Rh phenotypes in this study with other studies in different ethnic populations were shown in Table 6. The most common Rh phenotype in our study was DCe, accounting for 45.85% of the whole population, while the least common phenotype was DCE constituting only 0.01% of the studied population. This was in good agreement with the results in the literature [1016]. Among the Rh-negative population, the most common Rh phenotype was ce with a frequency of 56.46%. This was quite different from the result reported by Musa [17].
Variance in the distribution of Rh phenotypes in different populations may lead to different incidences of alloimmunization. Knowledge about the distribution of Rh phenotypes in a specific population could then help formulate clinical blood transfusion guidelines and reduce the significant haemolytic transfusion reactions, especially the delayed haemolytic transfusion reactions (DHTR), difficult crossmatch between blood donors and recipients, decreased survival rate of RBCs after transfusion, and increased blood transfusion requirements. Indeed, considerable alloimmunization was due to Rh blood group antigens. As reported by Dhawan et al. [18] the rate of alloimmunization could be as much as 5.64%, 52.17% of which were due to Rh blood group antibodies (anti-E 17%, anti-D 13%, and anti-C 13%). In a study in Delhi, Agnihotri used the Asian cell panel in a routine pretransfusion test and observed a frequency of alloantibodies 0.8%, of which the most common antibodies detected were related to the Rh blood group (41.6%) [19]. Currently, due to the high immunogenicity of Rh D antigen in around 80% of the Rh D-negative patients, [20] Rh D typing was routinely performed in most countries [21].
However, alloimmunization related to other Rh blood group antigens could not be neglected. In the present study, we screened unexpected antibodies in the pretransfusion test. It was found that of all the 557 homologous antibodies identified, Rh blood group antibodies accounted for 57.99% (323/557), in anti-E accounted for 82.35% (266/323). Noting that Rh blood group system antibodies were produced as a result of immune stimulation, it could be inferred that the high occurrence of anti-E was related to the fact that the positive and negative rates of Rh E antigen were close to each other and that no transfusion with the matched Rh E antigen was adopted in clinical practice (Indeed the clinical practice in our hospital was that only ABO blood group system and Rh D antigen were tested and matched).
Since in the studied region of Zhejiang China, the negative rates of Rh antigens E, C, c, and e were significantly higher than that of Rh antigen D, currently adopted random transfusion based on the pretransfusion matching of Rh antigen D inevitably raised the concern about the alloimmunization related to Rh antigens E, C, c, and e, especially for multi-transfused patients and female patients. A simple solution to the concern is to provide blood with matched Rh antigens in clinical transfusion therapy. For example, for a patient with Rh phenotype DCe, at the first time of receiving a blood transfusion or when anti-E was present, it would be better to provide blood components tested negative for Rh antigens E and c. This was because the immune stimulation related to anti-E probably gave rise to anti-c and anti-cE, while it was generally clinically difficult to detect these antibodies. Similarly, if serological tests indicated the existence of anti-C in a patient with Rh phenotype DcE, the provision of blood component tested negative for Rh antigens C and e were suitable [2225].
In this sense, we formulated a series of rules for Rh phenotypes matched blood transfusion based on the clinically detected Rh antigens E, C, c, and e in addition to traditional detection of Rh antigen D. Three levels of matching for Rh phenotypes were set up with their priorities from high to low being level I, level II, and level III. In the case of a patient whose Rh phenotypes could not be chosen according to the level I and level II matching rules, the donor blood was chosen with the weakest immunogenicity possible. A detailed list of the formulated rules for different patient phenotypes was shown in the Appendix. Based on these rules, our department started to conduct the Rh phenotypes matching blood transfusion in 2012. With the matching rate of Rh phenotype increased from 4.33% in 2012 to more than 90% after 2017, the incidence of transfusion reactions decreased year by year, from 19.95‰ in 2011 to 2.21‰ in August 2021. Though serological tests were unable to detect genotypes, they still provide a powerful and economical method for the identification of Rh phenotypes in transfusion applications. Later if we could establish the Rh phenotype database of blood donors and perform Rh phenotype testing for each patient before the first blood transfusion, there would be a chance that the incidence of adverse transfusion reactions was reduced and that antigen-negative blood could be provided without delay to save more patients.

Acknowledgements

This research was supported by the National Natural Science Foundation of China (Grant No. 81971994, 82172335 and 91846103), Zhejiang Provincial Key Research and Development Program (Grant No. 2020C03032), and Zhejiang Provincial Natural Science Foundation of China (Grant No. LQ20H080002).

Declarations

Conflict of interest

The authors declare that they have no competing interests.
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Appendix

See Table
Table 8
Rh antigen phenotype matching transfusion
Phenotype
Level I matching
Level II matching
CDe
CDe
Ce
CDEe
CDEe
CDE, CDe, CEe, CE, Ce
CDE
CDE
CCEE
CcDe
CcDe
CDe, cDe, Cce, Ce, ce
CcDEe
CcDEe
Both Rh D positive and Rh D negative all right
CcDE
CcDE
CDE, cDE, CcE, CE, cE
cDe
cDe
ce
cDEe
ccDEe
cDe, cDE, cEe, ce, cE
ccDE
cDE
cE
Ce
Ce
None
CcEe
CcEe
RhD negative all right
Cce
Cce
Ce, ce
cE
cE
None
cEe
cEe
cE, ce
CcE
CcE
CE, cE
CEe
CEe
CE, Ce
CE
CE
None
ce
ce
None
8
In this part, we would like to list the detailed three levels of matching rules adopted in our department. The three levels were named level I, level II, and level III, with the matching priorities from the highest to the lowest.
Level I matching of Rh phenotypes requires that the Rh phenotypes of blood donors and patients are the same. Level II matching of Rh phenotypes refers to the compatibility between the Rh phenotypes of blood donors and patients. The detailed matching rules for these two levels of matching are shown in the following 8. Level III matching of Rh phenotypes aims at reducing the immunogenicity possibly induced by the donor blood.
Literatur
1.
Zurück zum Zitat Daniels G, Castilho L, Flegel WA, Fletcher A, Garratty G, Levene C et al (2009) International Society of Blood Transfusion Committee on terminology for red cell surface antigens: macao report. Vox Sang 96:153–156CrossRefPubMed Daniels G, Castilho L, Flegel WA, Fletcher A, Garratty G, Levene C et al (2009) International Society of Blood Transfusion Committee on terminology for red cell surface antigens: macao report. Vox Sang 96:153–156CrossRefPubMed
2.
Zurück zum Zitat Westhoff CM (2004) The Rh blood group system in review: a new face for the next decade. Transfusion 44:1663–1673CrossRefPubMed Westhoff CM (2004) The Rh blood group system in review: a new face for the next decade. Transfusion 44:1663–1673CrossRefPubMed
3.
Zurück zum Zitat Wagner FE, Moulds JM, Flegel WA (2005) Genetic mechanisms of Rhesus box variation. Transfusion 45:338–344CrossRefPubMed Wagner FE, Moulds JM, Flegel WA (2005) Genetic mechanisms of Rhesus box variation. Transfusion 45:338–344CrossRefPubMed
4.
Zurück zum Zitat Gupta R, Singh DK, Singh B, Rusia U (2011) Alloimmunization to red cells in thalassemics: emerging problem and future strategies. Transfus Apher Sci 45:167–170CrossRefPubMed Gupta R, Singh DK, Singh B, Rusia U (2011) Alloimmunization to red cells in thalassemics: emerging problem and future strategies. Transfus Apher Sci 45:167–170CrossRefPubMed
5.
Zurück zum Zitat Pahuja S, Pujani M, Gupta SK, Chandra J, Jain M (2010) Alloimmunization and red cell autoimmunization in multitransfused thalassemics of Indian origin. Hematology 1:174–177CrossRef Pahuja S, Pujani M, Gupta SK, Chandra J, Jain M (2010) Alloimmunization and red cell autoimmunization in multitransfused thalassemics of Indian origin. Hematology 1:174–177CrossRef
6.
Zurück zum Zitat Chou ST, Jackson T, Vege S, Smith-Whitley K, Friedman DF, Westhoff CM (2013) High prevalence of red blood cell alloimmunization in sickle cell disease despite transfusion from Rh-matched minority donors. Blood 122:1062–1071CrossRefPubMed Chou ST, Jackson T, Vege S, Smith-Whitley K, Friedman DF, Westhoff CM (2013) High prevalence of red blood cell alloimmunization in sickle cell disease despite transfusion from Rh-matched minority donors. Blood 122:1062–1071CrossRefPubMed
8.
Zurück zum Zitat Osman NH, Sathar J, Leong CF, Zulkifli NF, Raja Sabudin RZ, Othman A et al (2017) Importance of extended blood group genotyping in multiply transfused patients. Transfus Apher Sci 56:410–416CrossRefPubMed Osman NH, Sathar J, Leong CF, Zulkifli NF, Raja Sabudin RZ, Othman A et al (2017) Importance of extended blood group genotyping in multiply transfused patients. Transfus Apher Sci 56:410–416CrossRefPubMed
9.
Zurück zum Zitat Vichinsky EP, Luban NL, Wright E, Olivieri N, Driscoll C, Pegelow CH et al (2001) Prospective RBC phenotype matching in a stroke-prevention trial in sickle cell anemia: a multicenter transfusion trial. Transfusion 4:1086–1092CrossRef Vichinsky EP, Luban NL, Wright E, Olivieri N, Driscoll C, Pegelow CH et al (2001) Prospective RBC phenotype matching in a stroke-prevention trial in sickle cell anemia: a multicenter transfusion trial. Transfusion 4:1086–1092CrossRef
10.
Zurück zum Zitat Nathalang O, Kuvanont S, Punyaprasiddhi P, Tasaniyanonda C, Sriphaisal T (2001) A preliminary study of the distribution of blood group systems in Thai blood donors determined by the gel test. Southeast Asian J Trop Med Public Health 32:204–207PubMed Nathalang O, Kuvanont S, Punyaprasiddhi P, Tasaniyanonda C, Sriphaisal T (2001) A preliminary study of the distribution of blood group systems in Thai blood donors determined by the gel test. Southeast Asian J Trop Med Public Health 32:204–207PubMed
11.
Zurück zum Zitat Fischbach F (2002) Nurses’ quick reference to common laboratory and diagnostic tests, 3rd edn. Lippincott, Philadelphia, PA, US, pp 19–25 Fischbach F (2002) Nurses’ quick reference to common laboratory and diagnostic tests, 3rd edn. Lippincott, Philadelphia, PA, US, pp 19–25
12.
Zurück zum Zitat Nanu A, Thapliyal RM (1997) Blood group gene frequency in a selected north Indian population. Indian J Med Res 106:242–246PubMed Nanu A, Thapliyal RM (1997) Blood group gene frequency in a selected north Indian population. Indian J Med Res 106:242–246PubMed
14.
15.
Zurück zum Zitat Davies SC, McWilliam AC, Hewitt PE, Devenish A, Brozovic M (1986) Red cell alloimmunization in sickle cell disease. Br J Haematol 63:241–245CrossRefPubMed Davies SC, McWilliam AC, Hewitt PE, Devenish A, Brozovic M (1986) Red cell alloimmunization in sickle cell disease. Br J Haematol 63:241–245CrossRefPubMed
16.
Zurück zum Zitat Lamba DS, Kaur R, Basu S (2013) Clinically significant minor blood group antigens amongst North Indian donor population. Adv Haematol 2013:215454 Lamba DS, Kaur R, Basu S (2013) Clinically significant minor blood group antigens amongst North Indian donor population. Adv Haematol 2013:215454
17.
Zurück zum Zitat Musa RH, Ahmed SA, Hashim H, Ayob Y, Asidin NH, Choo PY et al (2012) Red cell phenotyping of blood from donors at the National blood center of Malaysia. Asian J Transfus Sci 6:3–9CrossRefPubMedPubMedCentral Musa RH, Ahmed SA, Hashim H, Ayob Y, Asidin NH, Choo PY et al (2012) Red cell phenotyping of blood from donors at the National blood center of Malaysia. Asian J Transfus Sci 6:3–9CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Dhawan HK, Kumawat V, Marwaha N, Sharma RR, Sachdev S, Bansal D et al (2014) Alloimmunization and autoimmunization in transfusion dependent thalassemia major patients: study on 319 patients. Asian J Transfus Sci 8:84–88CrossRefPubMedPubMedCentral Dhawan HK, Kumawat V, Marwaha N, Sharma RR, Sachdev S, Bansal D et al (2014) Alloimmunization and autoimmunization in transfusion dependent thalassemia major patients: study on 319 patients. Asian J Transfus Sci 8:84–88CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Agnihotri A (2014) Antibody screening with the Asian cell panel: can we still do away with cross-match? Abstract of 2nd Indian Society of Transfusion Medicine (ISTM) annual conference. Asian J Transfus Sci 8(S1):26–87 Agnihotri A (2014) Antibody screening with the Asian cell panel: can we still do away with cross-match? Abstract of 2nd Indian Society of Transfusion Medicine (ISTM) annual conference. Asian J Transfus Sci 8(S1):26–87
20.
Zurück zum Zitat Mollison PL, Engelfriet CP, Contreras M (1997) Blood transfusion in clinical medicine. Blackwell Science, Oxford, England Mollison PL, Engelfriet CP, Contreras M (1997) Blood transfusion in clinical medicine. Blackwell Science, Oxford, England
23.
Zurück zum Zitat Yasuda H, Ohto H, Sakuma S, Ishikawa Y (2005) Secondary anti-D immunization by Del red blood cells. Transfusion 45(10):1581–1584CrossRefPubMed Yasuda H, Ohto H, Sakuma S, Ishikawa Y (2005) Secondary anti-D immunization by Del red blood cells. Transfusion 45(10):1581–1584CrossRefPubMed
24.
25.
Zurück zum Zitat Chou ST, Evans P, Vege S, Coleman SL, Friedman DF, Keller M et al (2018) RH genotype matching for transfusion support in sickle cell disease. Blood 132(11):1198–1207CrossRefPubMed Chou ST, Evans P, Vege S, Coleman SL, Friedman DF, Keller M et al (2018) RH genotype matching for transfusion support in sickle cell disease. Blood 132(11):1198–1207CrossRefPubMed
Metadaten
Titel
Analysis of Rhesus (Rh) Antigen Distributions in Donors and Multi-transfused Patients for Phenotype-Matched Transfusion
verfasst von
Yuhong Zhao
Ni Yao
Yan Lv
Dawei Cui
Jue Xie
Publikationsdatum
08.07.2023
Verlag
Springer India
Erschienen in
Indian Journal of Hematology and Blood Transfusion / Ausgabe 1/2024
Print ISSN: 0971-4502
Elektronische ISSN: 0974-0449
DOI
https://doi.org/10.1007/s12288-023-01676-9

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