Blood Res 2023; 58(1):
Published online March 31, 2023
https://doi.org/10.5045/br.2023.2022197
© The Korean Society of Hematology
Correspondence to : Narender Kumar, M.D.
Department of Hematology, PGIMER, Madhya Marg, Sector 12, Chandigarh 160012, India
E-mail: narenderkalson@gmail.com
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background
The clinical phenotype of hemophilia A (HA) does not always correlate with severity. Similarly, the presence of inhibitors does not necessarily increase the risk of bleeding. This paradox between clinical and laboratory findings may be partially attributed to non-modifiable factors, such as blood group, which is known to influence FVIII levels in healthy individuals. Our aim was to assess the effect of ABO blood group antigens on FVIII levels across the severity spectrum of HA and risk of inhibitor development.
Methods
Data of consecutive patients with HA who visited the coagulation unit of a northern Indian tertiary care hospital between 2010‒2021 were reviewed. Patients with missing blood group data, transfusion histories, or baseline FVIII levels were excluded.
Results
Mild, moderate, and severe HA was present in 41 (6.9%), 72 (12.2%), and 479 (80.9%) patients, respectively. There were no differences in the FVIII levels among the various blood groups across the HA severity spectrum. Inhibitors were administered to 35 patients (5.9%). In the multivariate analysis, blood group A was an independent risk factor for the development of inhibitors (adjusted odds ratio 2.70, P=0.04) after adjusting for age at onset of bleeding, FVIII transfusion, age at first FVIII transfusion, and severity of HA.
Conclusion
Unlike what is observed in healthy individuals, blood group did not influence residual FVIII levels across the severity spectrum of HA. Patients in group A had a higher risk of developing inhibitors.
Keywords: Hemophilia, Blood group, Bleeding disorder, Factor VIII inhibitors
The central role of ABO blood group antigens in transfusion and transplantation has been well-established for decades [1]. However, in addition to expression in red blood cells, ABO blood group antigens are highly expressed in various cells and tissues, including epithelial cells, platelets, and vascular endothelium [1, 2]. ABO antigens have been recognized as risk factors for various diseases such as peptic ulcers, cardiovascular disease, and malignancies [1-3]. In addition to their roles in maintaining cell membrane integrity, mediating cell adhesion, and acting as receptors for extracellular ligands, ABO antigens help in hemostasis. It has been observed that von Willebrand factor (vWF) levels are 25% higher in individuals with non-O blood groups [4]. In healthy individuals, the ABO blood group antigen-mediated variation in the glycosylation of vWF affects its clearance and concentration, thereby leading to a change in the FVIII concentration [5]. It is reasonable to hypothesize that ABO blood group antigens influence residual FVIII levels in patients with hemophilia A (HA). However, this remains underexplored, and previously reported literature is largely confined to patients with non-severe HA [6, 7].
The development of neutralizing alloantibodies is a major hurdle in HA management [8]. Various nongenetic and environmental risk factors govern the development of HA inhibitors. However, the role of ABO blood groups in determining FVIII immunogenicity and the risk of developing HA inhibitors in HA has not been well studied [9-11]. With this in mind, we retrospectively reviewed the role of the ABO blood group in determining residual FVIII activity and the risk of inhibitor development in patients with HA.
The data of all consecutive patients with HA who visited the coagulation unit of the Department of Hematology in a North Indian tertiary care hospital between 2010–2021 were reviewed. Patients with missing blood group data, transfusion histories, or baseline FVIII levels were excluded.
The clinical details of the patients, including demographic factors, site, and precipitant(s) of bleeding were retrieved from the records. The ABO blood group type was also noted in the review of the available records. Details regarding family history were obtained by analyzing the pedigree chart. The history of the type of transfusion product received was also noted in cases where details were available.
Investigations performed included prothrombin time (PT), activated partial thromboplastin time (aPTT), fibrinogen level, mixing studies, factor VIII (FVIII) assay, inhibitor screening test, inhibitor assay, vWF antigen (vWF:Ag) and vWF glycoprotein 1b receptor (vWF:GPIbR) assay. These tests were run on the fully automated coagulation analyzers [STA Compact, STA-R Evolution (both, Diagnostica Stago, Asnieres, France) and/or ACL TOP 500 CTS (Instrumentation Laboratory, Bedford, MA, USA)] as per instructions from the manufacturer in the kit and depending upon instrument availability. The inhibitor assay was performed using the classical Bethesda assay (CBA). The Nijmegen-modified Bethesda assay (NBA) was performed as indicated. High-titer inhibitors were defined as inhibitor titers >5 Bethesda units. The correlation between the residual factor VIII levels and inhibitor development was also studied.
Quantitative data are presented as mean±standard deviation or median with interquartile range, as applicable. Qualitative data are expressed as proportions and percentages. Quantitative data between the two groups were compared using the t-test for parametric data and the Mann–Whitney U test for non-parametric data. Quantitative data between three or more groups were compared using the Kruskal–Wallis test with Dunn’s test for multiple comparisons. Statistical comparisons of qualitative data between two groups were assessed using Fisher’s exact test, whereas qualitative data between three or more groups were analyzed using the chi-squared test. Correlations were assessed using Pearson correlation coefficients. Multivariate logistic regression analysis for risk factors for developing inhibitors was performed by incorporating the variables of age at onset of bleeding, FVIII transfusion, age at first FVIII transfusion, blood group, and severity of HA using a stepwise model where variables were entered into the model if
Of the 680 patients whose data were reviewed, 88 were excluded because of non-availability of baseline FVIII levels (N=8) or blood groups (N=80). Finally, 592 HA patients were included in this study, among whom 41 (6.9%), 72 (12.2%), and 479 (80.9%) had mild, moderate, and severe disease, respectively. Median age at the onset of bleeding was 3 (2–8) years. A history of FVIII transfusion was observed in 479 patients (80.9%). These patients received FVIII on demand, and none of the patients received prophylactic therapy. Overall, intra-articular bleeding was the most common site of bleeding (89%). No difference in the site of bleeding was noted among the three severity subgroups. The most common blood group in our cohort was O (N=203, 34.3%), followed by B (N=179, 30.2%), AB (N=106, 17.9%), and A (N=104, 17.6%). The demographic profiles and clinical parameters of the patients are shown in Table 1. Spontaneous bleeding was significantly more common in patients in blood group A (53.8%) than in those in the non-A blood group (42.2%,
Table 1 Clinicopathological characteristics of study population.
Clinicopathological parameters | All cases (N=592) | Mild HA (N=41, 6.9%) | Moderate HA (N=72, 12.2%) | Severe HA (N=479, 80.9%) | |||
---|---|---|---|---|---|---|---|
Mild vs. moderate | Moderate vs. severe | Mild vs. severe | |||||
Age at onset of bleeding (yr)a) | 3 (2–8) | 8 (4–12) | 6 (3–8) | 2 (1–3) | 0.11 | <0.001 | <0.001d) |
Family history of HAb) | 333 (56.3%) | 23 (56.1%) | 44 (61.1%) | 266 (55.5%) | 0.69 | 0.44 | >0.99 |
FVIII levelsa) | 0.8 (0.3–0.9) | 10.7 (7.1–16.58) | 1.6 (1.2–2.5) | 0.25 (0.1–0.6) | <0.001 | <0.001 | <0.001d) |
vWF antigen (%)a) | 147.8 (98.6–192) | 146.0 (104.3–193.1) | 140.8 (99.1–189.5) | 141.1 (98.95–194) | 0.61 | 0.58 | 0.66 |
vWFGPIbR level (%)a) | 106.8 (87–187.2) | 107.5 (85–188.7) | 105.1 (84.5–184.7) | 106.2 (86.4–187) | >0.99 | 0.72 | 0.35 |
Consanguinityb) | 28 (4.7%) | 1 (2.4%) | 2 (2.8%) | 25 (5.2%) | >0.99 | 0.56 | 0.71 |
Blood groupc) | |||||||
A | 104 (17.6%) | 8 (19.5%) | 13 (18.1%) | 83 (17.3%) | |||
B | 179 (30.2%) | 14 (34.2%) | 22 (30.6%) | 143 (29.9%) | |||
O | 203 (34.3%) | 11 (26.8%) | 24 (33.2%) | 168 (35.1%) | 0.91 | 0.99 | 0.76 |
AB | 106 (17.9%) | 8 (19.5%) | 13 (18.1%) | 85 (17.7%) | |||
Spontaneous bleedingb) | 262 (44.2%) | 9 (21.9%) | 30 (41.6%) | 223 (46.6%) | 0.04 | 0.45 | 0.002d) |
Traumatic bleedb) | 499 (84.3%) | 32 (78%) | 59 (81.9%) | 408 (85.2%) | 0.63 | 0.48 | 0.26 |
Statistical tests were used for calculation of
a)Kruskal–Wallis test with Dunn’s correction for multiple comparisons. b)Fisher’s exact test. c)Chi-squared test. d)Statistically significant
The median FVIII levels in mild, moderate, and severe HA were 10.7% (7.1–16.58), 1.6% (1.2–2.5), and 0.25% (0.1–0.6), respectively. In mild HA, there was a trend towards higher FVIII levels in blood groups A (11.9%) and AB (11.5%) than in blood groups O (10.6%) and B (10.4%), although the difference was not statistically significant (
In the whole cohort, there was no correlation between vWF and FVIII levels [r, 0.12; 95% confidence interval (CI), -0.16 to 0.41;
FVIII inhibitors were administered to all 35 patients. The overall prevalence of the inhibitors was 5.9%. The prevalence of different blood groups among the inhibitor-positive patients was as follows: A (N=13, 37.1%), B (N=8, 22.9%), AB (N=5, 14.3%), and O (N=9, 25.7%). Blood-group A patients had higher odds of developing inhibitors (OR, 3.03; 95% CI, 1.48–6.23;
Table 2 ABO blood groups and risk of inhibitor development.
Blood group | Inhibitor-positive (N=35) | Inhibitor-negative (N=557) | Odds ratio (95% CI) | |
---|---|---|---|---|
O (N=203) | 9 (4.4%) | 194 (95.6%) | 0.65 (0.30 to 1.41) | 0.28 |
Non-O (N=389) | 26 (6.7%) | 363 (93.3%) | ||
B (N=179) | 8 (4.5%) | 171 (95.5%) | 0.67 (0.30 to 1.50) | 0.33 |
Non-B (N=413) | 27 (6.5%) | 386 (93.5%) | ||
A (N=104) | 13 (12.5%) | 91 (87.5%) | 3.03 (1.48 to 6.23) | 0.003 |
Non-A (N=488) | 22 (4.5%) | 466 (95.5%) | ||
AB (N=106) | 5 (4.7%) | 101 (95.3%) | 0.75 (0.29 to 1.99) | 0.57 |
Non-AB (N=486) | 30 (6.2%) | 456 (93.8%) |
Table 3 Risk factors for development of inhibitors (N=592).
Characteristic | Patients with inhibitors (N=35) | Patients without inhibitors (N=557) | Univariate predictor of inhibitor | Multivariate predictor of inhibitor |
---|---|---|---|---|
Age at onset of bleeding | 3 (1–12) yr | 2 (1–8) yr | 0.26 | 0.69 |
FVIII transfusion with or without FFP | 34 (97.1%) | 445 (79.8%) | 0.007 | <0.001a) |
Age at first FVIII transfusion | 4 (1–7) yr | 6 (4–8) yr | 0.17 | 0.10 |
Severe HA | 32 (91.4%) | 447 (80.3%) | 0.12 | 0.07 |
Blood group A | 13 (37.1%) | 91 (16.3%) | 0.003 | 0.04a) |
a)Statistically significant
Among patients with high-titer inhibitors (N=28), most patients had blood group A (N=12, 42.8%), followed by blood group B (N=6, 21.4%), O (N=5, 17.9%), and AB (N=5, 17.9%). There was no difference in the proportion of patients with high- or low-titer inhibitors among the various blood groups (Supplementary Table 4).
The role of blood group antigens in governing FVIII levels in healthy individuals is well established. Indeed, healthy individuals in the non-O blood group had 25–35% higher levels of FVIII than those in the O blood group [4, 5]. This may explain the higher risk of thrombotic events, including stroke, in the non-O blood group [1-3]. However, literature regarding the effect of blood group antigens on residual FVIII levels in HA is sparse and largely limited to patients with non-severe HA. Rejtő
We observed lower vWF levels in patients with blood group O, as previously reported [4, 12]. Recent data suggest that patients with blood group A may have an increased severity of bleeding when bleeding is of an unknown cause [13]. In our cohort of patients with HA, spontaneous bleeding was more common in patients with blood group A, and there was no difference in the site of bleeding among the various blood groups. This suggests that patients with HA and blood group O may not be predisposed to more severe bleeding. This is possibly because in HA, the major factors governing the risk and severity of bleeding are FVIII levels and the presence of inhibitors instead of vWF levels. The risk of developing inhibitors in various blood groups is controversial, and contradictory results have been reported in different studies. The data from these studies are summarized in Table 4 [9-11].
Table 4 Association of various blood groups and inhibitor development among HA patients in different studies.
Parameters | Arshad | Fanchino | Franchino | Present study | ||||
---|---|---|---|---|---|---|---|---|
Total HA patients | 300 | 209 | 287 | 592 | ||||
HA patients with inhibitors (N, %) | 29 (9.6%) | 56 (26.8%) | 85 (29.6%) | 35 (5.9%) | ||||
Low titer inhibitor | 17 (58.6%) | 12 (5.7%) | 21 (24.7%) | 7 (20%) | ||||
High titer inhibitor | 12 (41.4%) | 44 (21.1%) | 64 (75.3%) | 28 (80%) | ||||
ABO blood group, N (%) | With inhibitor | Without inhibitor | With inhibitor | Without inhibitor | With inhibitor | Without inhibitor | With inhibitor | Without inhibitor |
A | 19 (65.5%) | 54 (20%) | 30 (31.9%) | 64 (68.1%) | 39 (45.9%) | 62 (30.7%) | 13 (37.5%) | 196 (95.6%) |
B | 2 (6.8%) | 98 (36.1%) | 9 (39.1%) | 14 (60.9%) | 13 (15.3%) | 23 (11.4%) | 8 (22.9%) | 173 (30.6%) |
AB | 2 (6.8%) | 43 (16%) | 1 (25.0%) | 3 (75.0%) | 7 (8.2%) | 6 (3.0%) | 5 (14.3%) | 104 (18.4%) |
O | 6 (20.6%) | 76 (28%) | 16 (18.2%) | 72 (81.8%) | 26 (30.6%) | 111 (55.0%) | 9 (25.7%) | 196 (95.6%) |
O vs. A: 0.02a) O vs. B: 0.12 O vs. AB: 0.52 A vs. B: 0.005a) A vs. AB: 0.49 B vs. AB: 0.05 | O vs. A: 0.033 O vs. B: 0.032 O vs. non-O: 0.017 | <0.001 | O vs. non-O: 0.28 A vs. non-A: 0.003a) B vs. non-B: 0.33 AB vs. non-AB: 0.57 |
a)Statistically significant
Two previous studies from Italy reported that, in comparison to non-O blood groups, blood group O is protective against the development of inhibitors and is also associated with low-titer inhibitors [9, 10]. Although blood group O did not show a statistically significant association with inhibitor development in our study, it had the lowest odds of inhibitor development. Furthermore, the most common blood group in patients without inhibitors was blood group O, suggesting that blood group O may play a putative protective role against the development of FVIII inhibitors, which needs to be explored in further studies. The roles of genetic mutations, ethnicity, and geographic variation in modulating the association between blood group antigens and inhibitors need to be examined in detail. In our study, blood group A was independently associated with an increased risk of developing inhibitors, with an adjusted odds ratio of 2.71 after adjusting for age at onset of bleeding, FVIII transfusion, age at first FVIII transfusion, and severity of HA. The only other study from India that examined the association between blood group and the development of inhibitors in 300 patients with HA corroborates our findings that patients with blood group A have a higher risk of inhibitor development (Table 4) [11].
The reasons for the observed association between blood group antigens and the risk of inhibitor development have not been sufficiently investigated. The binding of vWF to the circulating FVIII stabilizes it and prevents its decay [14]. Clearance of the FVIII-vWF complex by the low-density lipoprotein receptor-related protein-1 receptor on macrophages was slower in those with blood group A than in those with blood group O [14, 15]. This difference may result in a substantially longer half-life of infused FVIII in HA patients with blood group A than in those with blood group O, which may translate into a higher risk of inhibitor development.
The present study is among the largest studies on patients with HA treated with inhibitors in the Indian subcontinent. However, we acknowledge the limitations of our study, including its retrospective design. We did not have data concerning the amount and type (plasma-derived or recombinant) of FVIII transfused. Genetic analyses were not performed in the present real-world observational study. We acknowledge the caveats in interpreting our data on the relationship between bleeding phenotype and blood groups. All of our HA patients had a history of bleeding at presentation, and we cannot comment on the influence of blood groups on the prospective risk of bleeding in these patients. We did not have adequate data for the formal calculation of bleeding assessment scores, such as the Vincenza or ISTH scores.
Unlike healthy individuals, ABO blood group antigens do not play a substantial role in governing residual FVIII levels in patients with HA, irrespective of disease severity. Blood group A was independently associated with a higher risk of developing inhibitors in patients with HA.
No potential conflicts of interest relevant to this article were reported.
Blood Res 2023; 58(1): 61-70
Published online March 31, 2023 https://doi.org/10.5045/br.2023.2022197
Copyright © The Korean Society of Hematology.
Debadrita Ray1, Narender Kumar1, Chander Hans1, Anita Kler1, Richa Jain2, Deepak Bansal2, Amita Trehan2, Arihant Jain3, Pankaj Malhotra3, Jasmina Ahluwalia1
1Department of Hematology, 2Department of Paediatrics, 3Department of Internal Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
Correspondence to:Narender Kumar, M.D.
Department of Hematology, PGIMER, Madhya Marg, Sector 12, Chandigarh 160012, India
E-mail: narenderkalson@gmail.com
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background
The clinical phenotype of hemophilia A (HA) does not always correlate with severity. Similarly, the presence of inhibitors does not necessarily increase the risk of bleeding. This paradox between clinical and laboratory findings may be partially attributed to non-modifiable factors, such as blood group, which is known to influence FVIII levels in healthy individuals. Our aim was to assess the effect of ABO blood group antigens on FVIII levels across the severity spectrum of HA and risk of inhibitor development.
Methods
Data of consecutive patients with HA who visited the coagulation unit of a northern Indian tertiary care hospital between 2010‒2021 were reviewed. Patients with missing blood group data, transfusion histories, or baseline FVIII levels were excluded.
Results
Mild, moderate, and severe HA was present in 41 (6.9%), 72 (12.2%), and 479 (80.9%) patients, respectively. There were no differences in the FVIII levels among the various blood groups across the HA severity spectrum. Inhibitors were administered to 35 patients (5.9%). In the multivariate analysis, blood group A was an independent risk factor for the development of inhibitors (adjusted odds ratio 2.70, P=0.04) after adjusting for age at onset of bleeding, FVIII transfusion, age at first FVIII transfusion, and severity of HA.
Conclusion
Unlike what is observed in healthy individuals, blood group did not influence residual FVIII levels across the severity spectrum of HA. Patients in group A had a higher risk of developing inhibitors.
Keywords: Hemophilia, Blood group, Bleeding disorder, Factor VIII inhibitors
The central role of ABO blood group antigens in transfusion and transplantation has been well-established for decades [1]. However, in addition to expression in red blood cells, ABO blood group antigens are highly expressed in various cells and tissues, including epithelial cells, platelets, and vascular endothelium [1, 2]. ABO antigens have been recognized as risk factors for various diseases such as peptic ulcers, cardiovascular disease, and malignancies [1-3]. In addition to their roles in maintaining cell membrane integrity, mediating cell adhesion, and acting as receptors for extracellular ligands, ABO antigens help in hemostasis. It has been observed that von Willebrand factor (vWF) levels are 25% higher in individuals with non-O blood groups [4]. In healthy individuals, the ABO blood group antigen-mediated variation in the glycosylation of vWF affects its clearance and concentration, thereby leading to a change in the FVIII concentration [5]. It is reasonable to hypothesize that ABO blood group antigens influence residual FVIII levels in patients with hemophilia A (HA). However, this remains underexplored, and previously reported literature is largely confined to patients with non-severe HA [6, 7].
The development of neutralizing alloantibodies is a major hurdle in HA management [8]. Various nongenetic and environmental risk factors govern the development of HA inhibitors. However, the role of ABO blood groups in determining FVIII immunogenicity and the risk of developing HA inhibitors in HA has not been well studied [9-11]. With this in mind, we retrospectively reviewed the role of the ABO blood group in determining residual FVIII activity and the risk of inhibitor development in patients with HA.
The data of all consecutive patients with HA who visited the coagulation unit of the Department of Hematology in a North Indian tertiary care hospital between 2010–2021 were reviewed. Patients with missing blood group data, transfusion histories, or baseline FVIII levels were excluded.
The clinical details of the patients, including demographic factors, site, and precipitant(s) of bleeding were retrieved from the records. The ABO blood group type was also noted in the review of the available records. Details regarding family history were obtained by analyzing the pedigree chart. The history of the type of transfusion product received was also noted in cases where details were available.
Investigations performed included prothrombin time (PT), activated partial thromboplastin time (aPTT), fibrinogen level, mixing studies, factor VIII (FVIII) assay, inhibitor screening test, inhibitor assay, vWF antigen (vWF:Ag) and vWF glycoprotein 1b receptor (vWF:GPIbR) assay. These tests were run on the fully automated coagulation analyzers [STA Compact, STA-R Evolution (both, Diagnostica Stago, Asnieres, France) and/or ACL TOP 500 CTS (Instrumentation Laboratory, Bedford, MA, USA)] as per instructions from the manufacturer in the kit and depending upon instrument availability. The inhibitor assay was performed using the classical Bethesda assay (CBA). The Nijmegen-modified Bethesda assay (NBA) was performed as indicated. High-titer inhibitors were defined as inhibitor titers >5 Bethesda units. The correlation between the residual factor VIII levels and inhibitor development was also studied.
Quantitative data are presented as mean±standard deviation or median with interquartile range, as applicable. Qualitative data are expressed as proportions and percentages. Quantitative data between the two groups were compared using the t-test for parametric data and the Mann–Whitney U test for non-parametric data. Quantitative data between three or more groups were compared using the Kruskal–Wallis test with Dunn’s test for multiple comparisons. Statistical comparisons of qualitative data between two groups were assessed using Fisher’s exact test, whereas qualitative data between three or more groups were analyzed using the chi-squared test. Correlations were assessed using Pearson correlation coefficients. Multivariate logistic regression analysis for risk factors for developing inhibitors was performed by incorporating the variables of age at onset of bleeding, FVIII transfusion, age at first FVIII transfusion, blood group, and severity of HA using a stepwise model where variables were entered into the model if
Of the 680 patients whose data were reviewed, 88 were excluded because of non-availability of baseline FVIII levels (N=8) or blood groups (N=80). Finally, 592 HA patients were included in this study, among whom 41 (6.9%), 72 (12.2%), and 479 (80.9%) had mild, moderate, and severe disease, respectively. Median age at the onset of bleeding was 3 (2–8) years. A history of FVIII transfusion was observed in 479 patients (80.9%). These patients received FVIII on demand, and none of the patients received prophylactic therapy. Overall, intra-articular bleeding was the most common site of bleeding (89%). No difference in the site of bleeding was noted among the three severity subgroups. The most common blood group in our cohort was O (N=203, 34.3%), followed by B (N=179, 30.2%), AB (N=106, 17.9%), and A (N=104, 17.6%). The demographic profiles and clinical parameters of the patients are shown in Table 1. Spontaneous bleeding was significantly more common in patients in blood group A (53.8%) than in those in the non-A blood group (42.2%,
Table 1 . Clinicopathological characteristics of study population..
Clinicopathological parameters | All cases (N=592) | Mild HA (N=41, 6.9%) | Moderate HA (N=72, 12.2%) | Severe HA (N=479, 80.9%) | |||
---|---|---|---|---|---|---|---|
Mild vs. moderate | Moderate vs. severe | Mild vs. severe | |||||
Age at onset of bleeding (yr)a) | 3 (2–8) | 8 (4–12) | 6 (3–8) | 2 (1–3) | 0.11 | <0.001 | <0.001d) |
Family history of HAb) | 333 (56.3%) | 23 (56.1%) | 44 (61.1%) | 266 (55.5%) | 0.69 | 0.44 | >0.99 |
FVIII levelsa) | 0.8 (0.3–0.9) | 10.7 (7.1–16.58) | 1.6 (1.2–2.5) | 0.25 (0.1–0.6) | <0.001 | <0.001 | <0.001d) |
vWF antigen (%)a) | 147.8 (98.6–192) | 146.0 (104.3–193.1) | 140.8 (99.1–189.5) | 141.1 (98.95–194) | 0.61 | 0.58 | 0.66 |
vWFGPIbR level (%)a) | 106.8 (87–187.2) | 107.5 (85–188.7) | 105.1 (84.5–184.7) | 106.2 (86.4–187) | >0.99 | 0.72 | 0.35 |
Consanguinityb) | 28 (4.7%) | 1 (2.4%) | 2 (2.8%) | 25 (5.2%) | >0.99 | 0.56 | 0.71 |
Blood groupc) | |||||||
A | 104 (17.6%) | 8 (19.5%) | 13 (18.1%) | 83 (17.3%) | |||
B | 179 (30.2%) | 14 (34.2%) | 22 (30.6%) | 143 (29.9%) | |||
O | 203 (34.3%) | 11 (26.8%) | 24 (33.2%) | 168 (35.1%) | 0.91 | 0.99 | 0.76 |
AB | 106 (17.9%) | 8 (19.5%) | 13 (18.1%) | 85 (17.7%) | |||
Spontaneous bleedingb) | 262 (44.2%) | 9 (21.9%) | 30 (41.6%) | 223 (46.6%) | 0.04 | 0.45 | 0.002d) |
Traumatic bleedb) | 499 (84.3%) | 32 (78%) | 59 (81.9%) | 408 (85.2%) | 0.63 | 0.48 | 0.26 |
Statistical tests were used for calculation of
a)Kruskal–Wallis test with Dunn’s correction for multiple comparisons. b)Fisher’s exact test. c)Chi-squared test. d)Statistically significant
The median FVIII levels in mild, moderate, and severe HA were 10.7% (7.1–16.58), 1.6% (1.2–2.5), and 0.25% (0.1–0.6), respectively. In mild HA, there was a trend towards higher FVIII levels in blood groups A (11.9%) and AB (11.5%) than in blood groups O (10.6%) and B (10.4%), although the difference was not statistically significant (
In the whole cohort, there was no correlation between vWF and FVIII levels [r, 0.12; 95% confidence interval (CI), -0.16 to 0.41;
FVIII inhibitors were administered to all 35 patients. The overall prevalence of the inhibitors was 5.9%. The prevalence of different blood groups among the inhibitor-positive patients was as follows: A (N=13, 37.1%), B (N=8, 22.9%), AB (N=5, 14.3%), and O (N=9, 25.7%). Blood-group A patients had higher odds of developing inhibitors (OR, 3.03; 95% CI, 1.48–6.23;
Table 2 . ABO blood groups and risk of inhibitor development..
Blood group | Inhibitor-positive (N=35) | Inhibitor-negative (N=557) | Odds ratio (95% CI) | |
---|---|---|---|---|
O (N=203) | 9 (4.4%) | 194 (95.6%) | 0.65 (0.30 to 1.41) | 0.28 |
Non-O (N=389) | 26 (6.7%) | 363 (93.3%) | ||
B (N=179) | 8 (4.5%) | 171 (95.5%) | 0.67 (0.30 to 1.50) | 0.33 |
Non-B (N=413) | 27 (6.5%) | 386 (93.5%) | ||
A (N=104) | 13 (12.5%) | 91 (87.5%) | 3.03 (1.48 to 6.23) | 0.003 |
Non-A (N=488) | 22 (4.5%) | 466 (95.5%) | ||
AB (N=106) | 5 (4.7%) | 101 (95.3%) | 0.75 (0.29 to 1.99) | 0.57 |
Non-AB (N=486) | 30 (6.2%) | 456 (93.8%) |
Table 3 . Risk factors for development of inhibitors (N=592)..
Characteristic | Patients with inhibitors (N=35) | Patients without inhibitors (N=557) | Univariate predictor of inhibitor | Multivariate predictor of inhibitor |
---|---|---|---|---|
Age at onset of bleeding | 3 (1–12) yr | 2 (1–8) yr | 0.26 | 0.69 |
FVIII transfusion with or without FFP | 34 (97.1%) | 445 (79.8%) | 0.007 | <0.001a) |
Age at first FVIII transfusion | 4 (1–7) yr | 6 (4–8) yr | 0.17 | 0.10 |
Severe HA | 32 (91.4%) | 447 (80.3%) | 0.12 | 0.07 |
Blood group A | 13 (37.1%) | 91 (16.3%) | 0.003 | 0.04a) |
a)Statistically significant
Among patients with high-titer inhibitors (N=28), most patients had blood group A (N=12, 42.8%), followed by blood group B (N=6, 21.4%), O (N=5, 17.9%), and AB (N=5, 17.9%). There was no difference in the proportion of patients with high- or low-titer inhibitors among the various blood groups (Supplementary Table 4).
The role of blood group antigens in governing FVIII levels in healthy individuals is well established. Indeed, healthy individuals in the non-O blood group had 25–35% higher levels of FVIII than those in the O blood group [4, 5]. This may explain the higher risk of thrombotic events, including stroke, in the non-O blood group [1-3]. However, literature regarding the effect of blood group antigens on residual FVIII levels in HA is sparse and largely limited to patients with non-severe HA. Rejtő
We observed lower vWF levels in patients with blood group O, as previously reported [4, 12]. Recent data suggest that patients with blood group A may have an increased severity of bleeding when bleeding is of an unknown cause [13]. In our cohort of patients with HA, spontaneous bleeding was more common in patients with blood group A, and there was no difference in the site of bleeding among the various blood groups. This suggests that patients with HA and blood group O may not be predisposed to more severe bleeding. This is possibly because in HA, the major factors governing the risk and severity of bleeding are FVIII levels and the presence of inhibitors instead of vWF levels. The risk of developing inhibitors in various blood groups is controversial, and contradictory results have been reported in different studies. The data from these studies are summarized in Table 4 [9-11].
Table 4 . Association of various blood groups and inhibitor development among HA patients in different studies..
Parameters | Arshad | Fanchino | Franchino | Present study | ||||
---|---|---|---|---|---|---|---|---|
Total HA patients | 300 | 209 | 287 | 592 | ||||
HA patients with inhibitors (N, %) | 29 (9.6%) | 56 (26.8%) | 85 (29.6%) | 35 (5.9%) | ||||
Low titer inhibitor | 17 (58.6%) | 12 (5.7%) | 21 (24.7%) | 7 (20%) | ||||
High titer inhibitor | 12 (41.4%) | 44 (21.1%) | 64 (75.3%) | 28 (80%) | ||||
ABO blood group, N (%) | With inhibitor | Without inhibitor | With inhibitor | Without inhibitor | With inhibitor | Without inhibitor | With inhibitor | Without inhibitor |
A | 19 (65.5%) | 54 (20%) | 30 (31.9%) | 64 (68.1%) | 39 (45.9%) | 62 (30.7%) | 13 (37.5%) | 196 (95.6%) |
B | 2 (6.8%) | 98 (36.1%) | 9 (39.1%) | 14 (60.9%) | 13 (15.3%) | 23 (11.4%) | 8 (22.9%) | 173 (30.6%) |
AB | 2 (6.8%) | 43 (16%) | 1 (25.0%) | 3 (75.0%) | 7 (8.2%) | 6 (3.0%) | 5 (14.3%) | 104 (18.4%) |
O | 6 (20.6%) | 76 (28%) | 16 (18.2%) | 72 (81.8%) | 26 (30.6%) | 111 (55.0%) | 9 (25.7%) | 196 (95.6%) |
O vs. A: 0.02a) O vs. B: 0.12 O vs. AB: 0.52 A vs. B: 0.005a) A vs. AB: 0.49 B vs. AB: 0.05 | O vs. A: 0.033 O vs. B: 0.032 O vs. non-O: 0.017 | <0.001 | O vs. non-O: 0.28 A vs. non-A: 0.003a) B vs. non-B: 0.33 AB vs. non-AB: 0.57 |
a)Statistically significant
Two previous studies from Italy reported that, in comparison to non-O blood groups, blood group O is protective against the development of inhibitors and is also associated with low-titer inhibitors [9, 10]. Although blood group O did not show a statistically significant association with inhibitor development in our study, it had the lowest odds of inhibitor development. Furthermore, the most common blood group in patients without inhibitors was blood group O, suggesting that blood group O may play a putative protective role against the development of FVIII inhibitors, which needs to be explored in further studies. The roles of genetic mutations, ethnicity, and geographic variation in modulating the association between blood group antigens and inhibitors need to be examined in detail. In our study, blood group A was independently associated with an increased risk of developing inhibitors, with an adjusted odds ratio of 2.71 after adjusting for age at onset of bleeding, FVIII transfusion, age at first FVIII transfusion, and severity of HA. The only other study from India that examined the association between blood group and the development of inhibitors in 300 patients with HA corroborates our findings that patients with blood group A have a higher risk of inhibitor development (Table 4) [11].
The reasons for the observed association between blood group antigens and the risk of inhibitor development have not been sufficiently investigated. The binding of vWF to the circulating FVIII stabilizes it and prevents its decay [14]. Clearance of the FVIII-vWF complex by the low-density lipoprotein receptor-related protein-1 receptor on macrophages was slower in those with blood group A than in those with blood group O [14, 15]. This difference may result in a substantially longer half-life of infused FVIII in HA patients with blood group A than in those with blood group O, which may translate into a higher risk of inhibitor development.
The present study is among the largest studies on patients with HA treated with inhibitors in the Indian subcontinent. However, we acknowledge the limitations of our study, including its retrospective design. We did not have data concerning the amount and type (plasma-derived or recombinant) of FVIII transfused. Genetic analyses were not performed in the present real-world observational study. We acknowledge the caveats in interpreting our data on the relationship between bleeding phenotype and blood groups. All of our HA patients had a history of bleeding at presentation, and we cannot comment on the influence of blood groups on the prospective risk of bleeding in these patients. We did not have adequate data for the formal calculation of bleeding assessment scores, such as the Vincenza or ISTH scores.
Unlike healthy individuals, ABO blood group antigens do not play a substantial role in governing residual FVIII levels in patients with HA, irrespective of disease severity. Blood group A was independently associated with a higher risk of developing inhibitors in patients with HA.
No potential conflicts of interest relevant to this article were reported.
Table 1 . Clinicopathological characteristics of study population..
Clinicopathological parameters | All cases (N=592) | Mild HA (N=41, 6.9%) | Moderate HA (N=72, 12.2%) | Severe HA (N=479, 80.9%) | |||
---|---|---|---|---|---|---|---|
Mild vs. moderate | Moderate vs. severe | Mild vs. severe | |||||
Age at onset of bleeding (yr)a) | 3 (2–8) | 8 (4–12) | 6 (3–8) | 2 (1–3) | 0.11 | <0.001 | <0.001d) |
Family history of HAb) | 333 (56.3%) | 23 (56.1%) | 44 (61.1%) | 266 (55.5%) | 0.69 | 0.44 | >0.99 |
FVIII levelsa) | 0.8 (0.3–0.9) | 10.7 (7.1–16.58) | 1.6 (1.2–2.5) | 0.25 (0.1–0.6) | <0.001 | <0.001 | <0.001d) |
vWF antigen (%)a) | 147.8 (98.6–192) | 146.0 (104.3–193.1) | 140.8 (99.1–189.5) | 141.1 (98.95–194) | 0.61 | 0.58 | 0.66 |
vWFGPIbR level (%)a) | 106.8 (87–187.2) | 107.5 (85–188.7) | 105.1 (84.5–184.7) | 106.2 (86.4–187) | >0.99 | 0.72 | 0.35 |
Consanguinityb) | 28 (4.7%) | 1 (2.4%) | 2 (2.8%) | 25 (5.2%) | >0.99 | 0.56 | 0.71 |
Blood groupc) | |||||||
A | 104 (17.6%) | 8 (19.5%) | 13 (18.1%) | 83 (17.3%) | |||
B | 179 (30.2%) | 14 (34.2%) | 22 (30.6%) | 143 (29.9%) | |||
O | 203 (34.3%) | 11 (26.8%) | 24 (33.2%) | 168 (35.1%) | 0.91 | 0.99 | 0.76 |
AB | 106 (17.9%) | 8 (19.5%) | 13 (18.1%) | 85 (17.7%) | |||
Spontaneous bleedingb) | 262 (44.2%) | 9 (21.9%) | 30 (41.6%) | 223 (46.6%) | 0.04 | 0.45 | 0.002d) |
Traumatic bleedb) | 499 (84.3%) | 32 (78%) | 59 (81.9%) | 408 (85.2%) | 0.63 | 0.48 | 0.26 |
Statistical tests were used for calculation of
a)Kruskal–Wallis test with Dunn’s correction for multiple comparisons. b)Fisher’s exact test. c)Chi-squared test. d)Statistically significant
Table 2 . ABO blood groups and risk of inhibitor development..
Blood group | Inhibitor-positive (N=35) | Inhibitor-negative (N=557) | Odds ratio (95% CI) | |
---|---|---|---|---|
O (N=203) | 9 (4.4%) | 194 (95.6%) | 0.65 (0.30 to 1.41) | 0.28 |
Non-O (N=389) | 26 (6.7%) | 363 (93.3%) | ||
B (N=179) | 8 (4.5%) | 171 (95.5%) | 0.67 (0.30 to 1.50) | 0.33 |
Non-B (N=413) | 27 (6.5%) | 386 (93.5%) | ||
A (N=104) | 13 (12.5%) | 91 (87.5%) | 3.03 (1.48 to 6.23) | 0.003 |
Non-A (N=488) | 22 (4.5%) | 466 (95.5%) | ||
AB (N=106) | 5 (4.7%) | 101 (95.3%) | 0.75 (0.29 to 1.99) | 0.57 |
Non-AB (N=486) | 30 (6.2%) | 456 (93.8%) |
Table 3 . Risk factors for development of inhibitors (N=592)..
Characteristic | Patients with inhibitors (N=35) | Patients without inhibitors (N=557) | Univariate predictor of inhibitor | Multivariate predictor of inhibitor |
---|---|---|---|---|
Age at onset of bleeding | 3 (1–12) yr | 2 (1–8) yr | 0.26 | 0.69 |
FVIII transfusion with or without FFP | 34 (97.1%) | 445 (79.8%) | 0.007 | <0.001a) |
Age at first FVIII transfusion | 4 (1–7) yr | 6 (4–8) yr | 0.17 | 0.10 |
Severe HA | 32 (91.4%) | 447 (80.3%) | 0.12 | 0.07 |
Blood group A | 13 (37.1%) | 91 (16.3%) | 0.003 | 0.04a) |
a)Statistically significant
Table 4 . Association of various blood groups and inhibitor development among HA patients in different studies..
Parameters | Arshad | Fanchino | Franchino | Present study | ||||
---|---|---|---|---|---|---|---|---|
Total HA patients | 300 | 209 | 287 | 592 | ||||
HA patients with inhibitors (N, %) | 29 (9.6%) | 56 (26.8%) | 85 (29.6%) | 35 (5.9%) | ||||
Low titer inhibitor | 17 (58.6%) | 12 (5.7%) | 21 (24.7%) | 7 (20%) | ||||
High titer inhibitor | 12 (41.4%) | 44 (21.1%) | 64 (75.3%) | 28 (80%) | ||||
ABO blood group, N (%) | With inhibitor | Without inhibitor | With inhibitor | Without inhibitor | With inhibitor | Without inhibitor | With inhibitor | Without inhibitor |
A | 19 (65.5%) | 54 (20%) | 30 (31.9%) | 64 (68.1%) | 39 (45.9%) | 62 (30.7%) | 13 (37.5%) | 196 (95.6%) |
B | 2 (6.8%) | 98 (36.1%) | 9 (39.1%) | 14 (60.9%) | 13 (15.3%) | 23 (11.4%) | 8 (22.9%) | 173 (30.6%) |
AB | 2 (6.8%) | 43 (16%) | 1 (25.0%) | 3 (75.0%) | 7 (8.2%) | 6 (3.0%) | 5 (14.3%) | 104 (18.4%) |
O | 6 (20.6%) | 76 (28%) | 16 (18.2%) | 72 (81.8%) | 26 (30.6%) | 111 (55.0%) | 9 (25.7%) | 196 (95.6%) |
O vs. A: 0.02a) O vs. B: 0.12 O vs. AB: 0.52 A vs. B: 0.005a) A vs. AB: 0.49 B vs. AB: 0.05 | O vs. A: 0.033 O vs. B: 0.032 O vs. non-O: 0.017 | <0.001 | O vs. non-O: 0.28 A vs. non-A: 0.003a) B vs. non-B: 0.33 AB vs. non-AB: 0.57 |
a)Statistically significant
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