A rare report of H-partially deficient, non-secretor phenotype from India. An Ah like the rèunion and unlike a Para Bombay-Clarifying misinterpretations.

BACKGROUND: H-deficient phenotypes are classified as H-deficient non- secretors (Bombay Oh), H-deficient secretors (Para Bombay), and H-partially deficient non-secretors (O h reunion, Ah and Bh, ABh). REPORT: We report the first case of H-partially deficient non-secretor- the Ah phenotype from India. What makes this report interesting is that they do not fit into the Bombay, or the Para Bombay series of H-deficient phenotypes and these partially deficient non-secretors were exclusively found on Réunion Island, off the East Coast of Africa in 1982. These reunion type phenotypes have not been reported since then and may lead to misinterpretations and confusions when encountered in the current existing laboratory settings especially in the low income (LIC's) and low middle income (LMIC's) countries like our own. Moreover, literature from LMIC and LIC incorrectly uses Ah/Bh for parabombay phenotypes. CONCLUSIONS: H-deficient phenotypes are rare, challenging to identify and assign correct notations. Hence, we have highlighted characteristic differences between H-deficient phenotypes and illustrated a diagnostic laboratory approach to correctly identify and assign notations to them especially in the resource constrained settings.

Pure Red Cell Aplasia Encountered in a Tertiary Care Hematology Laboratory: A Series of Nine Distinctive Cases.

Pure red cell aplasia (PRCA) is characterized by severe anemia with reticulocytopenia and bone marrow erythroblastopenia. The early erythroblasts are markedly decreased; however, in rare instances, they may be normal or raised in number. There are varied etiologies, namely congenital or acquired and primary or secondary. The congenital PRCA is known as "Diamond-Blackfan anemia." Thymomas, autoimmune disease, lymphomas, infections, and drugs also may be familiar associates. However, the etiologies of PRCA are numerous, and many diseases/infections can be associated with PRCA. The diagnosis rests on clinical suspicion and appropriate laboratory workup. We evaluated nine cases of red cell aplasia, having severe anemia with reticulocytopenia. Nearly half of the cases showed adequate erythroid (> 5% of the differential count) but with a maturation arrest. The adequacy of the erythroid could confuse the hematologist and may even delay the diagnosis. Hence, it is empirical that PRCA could be considered a differential in every case of severe anemia with reticulocytopenia, even in the presence of adequate erythroid precursors in the bone marrow.

Extended blood group phenotyping of donors from the lower and middle Himalayan region of Uttarakhand India: A pilot study.

BACKGROUND: The state of Uttarakhand, bordering countries such as Tibet and Nepal, is a multi-ethnic region. Further, erythrocyte alloimmunization may arise from the incompatibility of major and/or minor blood groups between ethnically diverse donors and recipients. We aimed to screen Uttarakhand blood donors (UBDs) for extended phenotyping of their erythrocytes serologically. METHODS: This prospective cross-sectional analysis involved all UBD samples collected at the blood centre of our tertiary-care hospital. Samples were obtained over 9 months (Mar'22 to Nov'22). Donors who were O-typed, DAT-negative and non-reactive for TTI markers were processed further for serological testing using the column agglutination technique utilizing 21 different monoclonal antisera (Ortho diagnostics Pvt ltd, Mumbai India). The research was financially aided by UCOST, Uttarakhand, Government of India. RESULTS: Of the 5,407 blood samples collected, the total number of O-typed samples collected was 1622. Of these 1622, 329 (20.2 %) O-typed samples were selected based on our inclusion criteria and hence further phenotyped. Amongst these 329 UBDs, the average age was 32.7 ± 9.32 (18-52) years and the male-to-female ratio was (M: F = 12:1). The prevalence of high- and low-frequency blood antigens in our study was Rh (D 96.6 %, C 84.8 %, c 63.5 %, E 27.9 % and e 92 %), Lewis (Lea 6.3 %, Leb 31.9 %), Kidd (Jka 87.8 %, Jkb 63.2 %), Kell (K 1.8 %, k 96.3 %) and Duffy (Fya 63.5 %, Fyb 10.6 %). And in the MNS system we received 21.2 % as M, 10.9 % N, 37 % S and 51.3 % as s respectively. We also identified some very rare minor antigens such as Dia 1.8 %, Ina 1.8 %, Cw 0.6 % and, 1.2 % Mur positive donors, which are not common in our population, as per the published literature. Moreover, we also identified one Bombay blood phenotype (Oh) in one of our UBD recruits. CONCLUSION: To sum up, practically with the outcome of this research, we were also able to identify rare phenotypes among the local people and a rare blood donor registry was created. This repository shall also come in use for our multi-transfused patients having different oncological and haematological ailments.

Blood Inventory Management During COVID-19 Pandemic Using a Simple Mathematical Tool: A Two-Year Study from a Tertiary Care Hospital in North India.

Multiple recurrent waves of the coronavirus disease 2019 (COVID-19) resulted in major fluctuations in blood supply and demand, which presented a major challenge for the blood centres to maintain adequate blood inventory. Hence, the primary aim of the present study was to determine whether safety stock as a simple mathematical tool can be used to maintain optimum blood inventory to meet all blood demands. The secondary aim of the study was to test whether daily blood stock index (DBSI), which was a novel index developed by the authors and derived from the calculated safety stock, can be used to minimize blood wastage due to the outdating of packed red blood cells (PRBC)/whole blood (WB) units. The present study was a descriptive, cross-sectional study conducted from 1st October 2019 to 31st December 2021 at a blood centre of a tertiary care hospital. For the purpose of data analysis, the time period of study was divided into 7 periods signifying different phases during the COVID-19 outbreak. Data of PRBC/WB (referred to as red cell) collection, red cell issue and the daily red cell stock were collected for these 7 time periods. Safety stock, percentage of out-dated whole blood/packed red blood cell units (OB) and DBSI were calculated based on the data extracted. Red cell collection as well as red cell utilization decreased during the 1st as well as the 2nd wave of the COVID-19 outbreak. The blood centre was able to meet the blood demand of the hospital at all times, as the daily average red cell stock remained above the calculated safety stock during all periods. OB (12.4%) and DBSI (2.3) were highest during the lockdown period of second wave of COVID-19 outbreak (period E). A strong direct relationship was seen between OB (dependent variable) and DBSI (predictor variable) [R = 0.79; p = 0.03]. Firstly, safety stock is a simple, user-friendly mathematic tool which can be used for efficient blood inventory management not only at times of a pandemic/disaster but also during routine times. Secondly, DBSI is a logical and empirical tool to reduce OB units and consequently reduce blood wastage.

Significance of mandating a dedicated hemovigilance nurse and objectification of 'imputability' levels. Experience from a hospital-based blood centre in India.

BACKGROUND: National Hemovigilance Programme aims at improving patient and donor outcomes by monitoring adverse reactions. This requires an additional effort by existing manpower that is already a handful and may offer a leeway if not mandated and designated to a hemovigilance nurse. AIMS AND OBJECTIVES: To analyse the reported adverse transfusion reactions (ATR) and their subsequent uplink/upload into the Hemovigilance program of India (HvPI) and to observe subjective discrepancy in the diagnosis of ATR and their imputability to transfusion. MATERIAL AND METHODS: ATR were analysed from May 2016 to October 2021 in a hospital-based blood centre in India. Two groups were formed, Group I constituted ATR that were reported and uplinked to HvPI, and Group II constituted all reported ATR irrespective of the uplink/upload. All ATR were reanalysed for a subjective discrepancy in diagnosis and imputability levels. Results were analysed online statistical software MedCalc using the "Exact Poissons Method" and the Chi-square test with a significant p-value of <0.05. RESULTS: In total 169 ATR were reported in 166 patients and 89 (52.6%) were uplinked, with an incident rate of 1 in 1412 and 1 in 743 in Group I and Group II respectively. The difference was statistically significant (p < 0.0001). Allergic reactions were the most common type in both groups followed by FNHTR with PRBC as the most implicated blood product. A discrepancy of around 4.3% and 17.9% in diagnosis and imputability level respectively was observed. CONCLUSIONS: The difference in incidence rates in the two groups indicates a mandate for dedicated hemovigilance nurses in every centre to aid in accurate data sharing with the National hemovigilance systems. Discrepancies in diagnosis can be mitigated by identification and understanding of ATR through case-based objective approach. Discrepancy in assigning imputability levels to adverse reactions can be minimised by objectifying the scales followed by spreading awareness though campaigns. These initiatives can effectively be aided by the hemovigilance nurse.

Surgical blood ordering schedule for better inventory management: An experience from a tertiary care transfusion center.

Background: Overordering of blood has been a challenge faced by the blood bank staff. The present study addresses the role of maximum surgical blood ordering schedule (MSBOS) in optimizing the blood inventory management. Methods: The blood requests for elective surgical procedures from various surgical departments were reviewed to constitute MSBOS. Transfusion profile was assessed using crossmatch to transfused units (C/T) ratio, transfusion probability (TP), and transfusion index (TI). A cutoff of 0.3 and 5% value of TI and TP, respectively, was considered to decide on the type of crossmatch. The efficacy of MSBOS implementation has been determined prospectively by unpaired t test using SPSS software, version 20 (IBM, USA). Results: A total of 2674 patients were studied. Overall red cell usage rate was 15%. The comprehensive C/T ratio was 4.57. The C/T ratios for the various departments ranged from 1 to 8.5 (adjusted C/T ratio). Highest C/T ratio was observed for surgical procedures performed in the specialties of otorhinolaryngology and urology. A C/T ratio greater than 5 was noted in 30.4% of different types of surgical procedures. Of the 176 different types of elective surgical procedures studied, type and screen protocol was applicable for 75.5% (133) of the procedures. After implementation of MSBOS, the number of crossmatches reduced by 2152 and total working time saved in our laboratory is close to 75,320 man hours. Conclusion: MSBOS helps in identifying the common surgical procedures with low TP and is one of the efficient tools in preventing the overordering of the blood.

A novel scoring system for selecting the target patients of COVID-19 convalescent plasma therapy: A hypothesis.

The primary cause of mortality in patients of coronavirus disease 2019 (COVID-19) is the cytokine storm and not directly due to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Therefore, it is being stressed by transfusion medicine specialists to use COVID-19 convalescent plasma (CCP) therapy early in the course of the disease, preferably within 72h of diagnosis. The authors herein, propose a scoring system for the rapid assessment of the patients who have tested positive for SARS-CoV-2. Therefore, a systematic approach may be followed where the patients are categorised into two groups, namely, the low-risk group [LRG; score<5] and the high-risk group [HRG; score ≥ 5] based on this scoring system. Those classified as an HRG should be administered CCP therapy within 72h of a confirmed diagnosis of COVID-19 to neutralise the SARS-CoV-2 virus and prevent the occurrence of the cytokine storm. This in turn could help reduce the overall mortality in the recipients.

A Cross-Sectional Comparative Characterization of Hematological Changes in Patients with COVID-19 Infection, Non-COVID Influenza-like Illnesses and Healthy Controls.

INTRODUCTION: Studies have documented the role of the "neutrophil-to-lymphocyte ratio" (NLR) in influenza virus infection. In addition, morphometric parameters derived from automated analyzers on the volume, scatter and conductivity of monocytes, neutrophils and lymphocytes in many viral etiologies have helped with their early differentiation. With this background, we aimed to characterize the hematological changes of coronavirus-positive cases and also compare them with the healthy controls and patients affected by non-COVID Influenza-like illnesses so that early isolation could be considered. MATERIAL AND METHODS: This was a cross-sectional analytical study carried out in the years 2020-2022. All cases with COVID-19 and non-COVID-19 Influenza-like illnesses and healthy controls above 18 years were included. Cases were diagnosed according to the WHO guidelines. All samples were processed on a Unicel DxH 800 (Beckman Coulter, California, USA) automated hematology analyzer. The demographic, clinical and regular hematological parameters along with additional parameters such as volume, conductivity and scatter (VCS) of the three groups were compared. RESULTS: The 169 COVID-19 cases were in the moderate to severe category. Compared with 140 healthy controls, the majority of the routine hematological values including the NLR (neutrophil-to-lymphocyte ratio) and PLR (platelet-to-lymphocyte ratio) showed statistically significant differences. A cutoff of an absolute neutrophil count of 4350 cell/cumm was found to have a sensitivity of 76% and specificity of 70% in differentiating moderate and severe COVID-19 cases from healthy controls. COVID-19 and the non-COVID-19 Influenza-like illnesses were similar statistically in all parameters except the PLR, mean neutrophilic and monocytic volume, scatter parameters in neutrophils, axial light loss in monocytes and NLR. Interestingly, there was a trend of higher mean volumes and scatter in neutrophils and monocytes in COVID-19 cases as compared to non-COVID-19 Influenza-like illnesses. CONCLUSION: We demonstrated morphological changes in neutrophils, monocytes and lymphocytes in COVID-19 infection and also non-COVID-19 Influenza-like illnesses with the help of VCS parameters. A cutoff for the absolute neutrophils count was able to differentiate COVID-19 infection requiring hospitalization from healthy controls and eosinopenia was a characteristic finding in cases with COVID-19 infection.