Assessment of Hepatic Profile in Acquired Aplastic Anemia: An Experience From Pakistan.

INTRODUCTION:  Aplastic anemia (AA) is characterized by pancytopenia and hypocellular marrow in the absence of an abnormal infiltrate or increase in reticulin fibrosis. The diagnosis of AA is challenging at times due to decreased cellularity and overlapping morphological features with other bone marrow failure syndromes. Hepatitis-associated aplastic anemia (HAAA) is a rare variant in which patients typically present with jaundice and hepatitis followed by pancytopenia almost within 6 months. Post-hepatitis AA accounts for approximately 1-5% of cases, and invariably such cases are negative for the known hepatitis virus as well. There is limited literature available to understand the correlation of AA with hepatitis with none reported at the national level in our region. As AA is relatively more prevalent in Southeast Asia as compared to the western world and hepatitis is a prevalent disease in our population, the main purpose of this study was to assess the hepatic profile and determine the association of hepatitis in AA at the time of diagnosis. MATERIALS AND METHODS:  A cross-sectional study was carried out at the National Institute of Blood Disease and Bone Marrow Transplantation, Karachi, from November 2019 to December 2020 after the informed consent from patients. The study included all treatment-naïve patients of acquired AA with no prior history of taking steroids, immunosuppressive treatment, or chemoradiation therapy. Liver function tests, complete blood count, prothrombin time (PT), and activated partial thromboplastin time were performed, along with viral profiles (HAV, Hep B, Hep C, and HIV). SPSS version 23 (IBM Corp., Armonk, NY) was used for statistical analysis. Mean and standard deviations were computed for quantitative variables while percentages and frequencies were reported for qualitative variables. T-test was used to observe the main difference between groups and a p-value <0.05 was considered to be significant. RESULTS:  Out of a total of 351 patients, 29 (8.2%) patients with AA tested positive for viral hepatitis. Hepatitis A was the most prevalent hepatitis (4.0%), followed by hepatitis C (3.7%). The comparison of platelet counts in patients with and without hepatitis was reported to be of statistical significance (p-value < 0.05). A significant statistical difference (p-value < 0.0001) was found in platelet count and PT in patients of AA with and without hepatitis. CONCLUSION:  Overall, this study revealed that <10% of patients of AA had a positive screening for hepatitis A, B, and C and low platelet count, and PT was statistically significant when compared between the patients with and without hepatitis. Hepatitis being prevalent in our part of the world might have an important causal association with AA. Patients with AA should be screened for liver functions and viral hepatitis at the time of diagnosis. In addition to hepatitis A, B, and C and HIV, other causes of hepatitis should also be screened such as parvovirus B19, human herpes virus 16, and adenovirus which are not included in routine diagnostic viral testing panel.

The Outcome of Hodgkin Lymphoma With Reference to Prognostic Markers.

OBJECTIVES: This study aimed to determine the impact of prognostic markers on the outcomes of Hodgkin lymphoma. METHODS: It is a cross-sectional, single-center study. A total of 60 patients diagnosed with Hodgkin lymphoma were recruited for the study over five years between 2016 to 2020. The study setting was the National Institute of Blood and Bone Marrow Transplant in Pakistan. The Statistical Package for Social Sciences (SPSS) version 23 (IBM Corp., Armonk, NY, USA) was used for statistical analysis. RESULTS: In the study population, 63.3% of the patients were male (38/60), and 36.7% were female (22/60). Hodgkin lymphoma was divided into four stages: stage I (18.3%), stage II (18.3%), stage III (46.7%), and stage IV (16.7%). Patients in stage III had a higher value of hemoglobin (Hb) than in other stages of the disease. The erythrocyte sedimentation rate was high in 56.7% of stage III patients than in patients of the other stages. The lactate dehydrogenase (LDH) levels were not under the normal range in 51.6% of patients. Only 20% of patients in stage III had LDH values within the normal range, whereas 26.6% did not. CONCLUSION: There was a significant impact of prognostic factors on the survival of patients with Hodgkin lymphoma.

Frequency of Intron 22 Inversion in Severe Hemophilia A Patients.

OBJECTIVE: The aim of our study was to find the frequency of Intron 22 inversion (Inv22) in severe hemophilia A (HA) patients and to evaluate the association between Inv22 and FVIII inhibitor formation. METHOD: Data analysis was carried out on IBM SPSS Statistics Version 23.00 (IBM Corp, Armonk, NY). Descriptive statistics were applied to measure the frequencies, percentages, and mean ± SD of the clinical and general history of HA patients, including age, family history, inhibitor status, intron22 inversion, and FVIII levels. Chi-square was applied to evaluate the association between Inv22 and F8 inhibitor formation. RESULTS: A total of 62 HA patients were enrolled in the study with mean±SD age of (14.39±13.2) years. A family history of HA was observed in 36 (58.1%) patients. Out of 62 patients, 28(45.2%) were reported as Inv22 positive while inhibitor status was observed as positive in three (4.83%) patients. However, an insignificant association was observed between the inhibitor and Inv22 positive patients with a p-value=0.443. CONCLUSION: In our study, Inv22 was found to be the major cause of severe HA in our patients, i.e., 45.1%. However, no significant relation was computed between Inv22 and inhibitor formation.

Frequency of Extended Red Cell Antigen Phenotype Among Patients of Hematological Diseases: A Single Center Study.

Background Alloimmunization of erythrocytes is a major problem in patients with hematological diseases that require frequent blood transfusions. Matching of extended red cell antigens of Kell, MNS, Kidd, and Duffy can decrease the risk of alloimmunization. Hence, in this study, the frequencies of the extended red cell phenotypes were explored. Objective To find out the frequency of extended red blood cell antigen phenotypes among patients with hematological diseases. Methods This cross-sectional research study was performed on 488 patients diagnosed with hematological diseases who required blood transfusion at the National Institute of Blood Disease and Bone Marrow Transplantation Karachi for a period of 1.42 years from November 2019 to March 2021. The blood of patients was analyzed for antigen phenotypes of different blood group systems including Kell, MNS, Kidd, and Duffy. The data obtained were interpreted. Results Among the 488 patients, 284 (58.20%) patients were male, and 204 (41.80%) patients were female with a mean age of 8.1 years. Beta thalassemia was the most common hematological disease reported in 354 (72.5%) of the patients. The most common blood group was O positive reported in 182 (37.3%) of the patients followed by B positive blood group in 124 (25.4%). The frequencies of extended red cell antigen phenotypes in the patients were K antigen 14 (2.9%), Kpa antigen 26 (5.3%), Kpb antigen 424 (86.9%), Fya antigen 360 (73.8%), Fyb antigen 260 (53.3%), Jka antigen 294 (60.2%), Jkb antigen 326 (66.8%), M antigen 410 (84.0%) and N antigen 306 (62.7%). Conclusion Beta thalassemia was the most common hematological disease followed by iron deficiency anemia, aplastic anemia, and acute leukemia. Patients with hematological diseases had a higher prevalence of Kpb antigen followed by M, Fya, Jkb, N, Jka, Fyb, Kpa, and K antigen. O positive was the most frequent blood group followed by B positive, A positive and AB positive blood group.

The Frequency of Rh Phenotype and Its Probable Genotype.

AIMS AND OBJECTIVES: Our goal is to disseminate data on the distribution pattern of Rh antigen, its phenotypes, and the likely genotypes of these genetic variants in the Pakistani population. METHODOLOGY: This study was a cross-sectional research project. Patients' demographic statistics, such as age and gender, were gathered from their medical information. Blood group, disease, RhD, and other antigen frequency, phenotype, and probable genotype were considered variables. All blood samples were phenotyped for Rhesus antigens (D, C, c, E, and e), and the test was carried out using the tubing technique. RESULTS: According to gender distribution, most of the patients were males, with 131 frequencies (57.7%), while females had 42.35%. The most common phenotype was DCCee, with its probable genotype DCe/DCe (R1 R1) (34%), followed by DCcee, with probable genotype DCe/ce (R1 r) (29.1%); the least common phenotype was ddCcee, with its probable genotype Ce/ce (r ' r) (0.4%). CONCLUSION: It is concluded that the DCCee phenotype was the most common with its probable genotype DCe/DCe, while the least common phenotype was ddCcee with its probable genotype Ce/ce.

Frequency of Specific and Non-specific Inhibitors in Haemophilia A Patients.

OBJECTIVE: To determine the frequency of specific and non-specific inhibitors in haemophilia A patients. STUDY DESIGN: This is a cross-sectional study. PATIENTS AND METHODS: A total of 150 male haemophilia A patients were included in this cross-sectional study at the National Institute of Blood Diseases and Bone Marrow Transplant (NIBD), Karachi, Pakistan, from September 2019 to January 2022. RESULTS: Among 150 patients included in this study, 23 (15.3%) had an inhibitor and 127 (84.6%) did not. All patients had specific inhibitors against Factor VIII (FVIII). Non-specific inhibitors were not identified in our population. Among the patients in the inhibitor group, there were 13 (56.5%) in the severe (<1%) category. There were 10 (43.5%) patients in the moderate (1-5%) category. There were no patients in the mild category. The median inhibitor level was 15.4 Bethesda unit (BU). CONCLUSION: The development of inhibitors has not been identified as a major problem in our population. However, it is noteworthy that only 15.3% of patients with haemophilia A developed inhibitors in this data set. They were essentially treated with plasma and its products.