Alloantibody among Thalassemia patients receiving multiple blood transfusions at a tertiary care hospital in India.

Regular blood transfusion is a lifesaving treatment for thalassemia patients; however, it exposes them to multiple alloantigens. The present study was designed to assess the frequency of alloantibodies in thalassemia patients receiving multiple blood transfusions. Blood samples were tested by Gel card method for ABO, Rh, Direct Antiglobulin Test (DAT), Indirect Antiglobulin Test (IAT), Auto Control (AC) and presence of alloantibody. Alloantibody screening and identification were performed using commercial 3-cell and 11-cell identification panels. Of a total of 66 thalassemia patients, 37 were male and 29 were female, with a mean age of 15.63±5.93 years and a range of 4.0 to 29.0 years. The ABO profiles of thalassemia patients were B-33, A-19, O-11, and AB-3, with 63 Rh-D positives and 3 Rh-D negatives. An average of 533.39±284.95 units were transfused an average of 304±119.65 times. Positive cases for DAT were 29(43.93%), AC was 26(39.39%) and IAT was 4(6.06%). Nine (13.636%) patients had developed alloantibodies, in which anti-K was seen in 5(27.77%), anti-Kpa in 4(22.22%), anti-C in 3(16.66%), anti-Cw in 3(16.66%), anti-D in 1(5.55%), anti-Lea in 1(5.55%), anti-Lua in 1 (5.55%). Alloantibodies were single in 4(44.44%) and multiple in 5(55.55%) patients. The rate of alloimmunization and positivity of DAT, AC, ICT, and splenectomy were significantly associated with higher age, the number of units transfused, and also the number of times of transfusion. Every new thalassemia patient needs extended blood group typing prior to the start of a blood transfusion and antigen-matched blood. For patients with alloantibodies, corresponding antigen-negative blood must be selected for cross-matching.

A case report of small round cell tumor of palm: A difficult code to decipher on cytology.

INTRODUCTION: Small round cell tumors (SRCT) are difficult to sub categorise on fine-needle aspiration cytology (FNAC) samples as they are rare and it is difficult for cytopathologists to obtain enough experience for rendering reliable diagnoses. Various sub categories of SRCTs are morphologically very similar. Many SRCTs do not have specific antigens which could be demonstrated with immunocytochemistry (ICC) or they lose them when poorly differentiated. Besides, cross-reactivity exists between some SRCTs. Suboptimal FNAC sampling from a heterologous component and unstandardized performance of ICC contributes to the pitfalls. PRESENTATION OF THE CASE: A 40-year-old male presented with a swelling measuring 3 cm in diameter on palmar aspect of right-hand. Magnetic resonance imaging suggested cyst of tendon sheath. However, on cytology in combination with ICC, a diagnosis of non-lymphoid small round cells tumor was suggested, with confirmatory diagnosis on histopathology. CONCLUSION: FNAC assisted with ICC can be a rapid and economical diagnostic tool in cases of high-grade malignant tumors for which early diagnosis is extremely important.

The Milan System for Reporting Salivary Gland Cytopathology: An outcome of retrospective application to three years' cytology data of a tertiary care hospital.

OBJECTIVES: Fine-needle aspiration cytology (FNAC) of the salivary gland lesions has diverse and sometimes overlapping features that pose a diagnostic challenge for the cytopathologists. The Milan System for Reporting Salivary Gland Cytopathology (MSRSGC) has been introduced to bring uniformity in the reporting of salivary gland FNAC and improve the clinic-pathologic communication resulting in better patient management. The aim of the present study was to assess the application of the MSRSGC on FNAC specimens of salivary gland lesions at a tertiary care hospital. MATERIAL AND METHODS: All salivary gland aspiration cytology cases along with histopathology follow-up of salivary gland lesions, wherever available, over a period of 36 months were analyzed and re-categorized according to MSRSGC into six categories and the risk of malignancy (ROM) was computed. RESULTS: Of the 123 patients, 23 (18.69%) were classified as non-diagnostic, 39 cases (31.7%) as non-neoplastic, one (0.81%) as atypia of undetermined significance (AUS), benign neoplasm in 49 (39.8%) cases, uncertain malignant potential in two cases (1.63%), suspicious of malignancy in two cases, and malignant in seven cases (5.69%). Out of 123 cases, histopathological correlation was available in 34 cases, for which the ROM was calculated. The ROM was 0% for non-neoplastic, 11.1% for benign neoplasm, and 100% each for salivary neoplasm of uncertain neoplastic potential, and 100% for malignant categories. CONCLUSION: In the present study, the distribution of cases according to MSRSGC was comparable with the previous studies. The proportion of cases classified as AUS was within the goal set by MSRSGC at less than 10%. A risk-based stratification of salivary gland lesions in the form of MSRSGC is essential in the present era to guide and alert the clinician about the subsequent management plan and convey the ROM.

Role of Red Cell Indices in Screening for Beta Thalassemia Trait: an Assessment of the Individual Indices and Application of Machine Learning Algorithm.

Antenatal screening for beta thalassemia trait (BTT) followed by counseling of couples is an efficient way of thalassemia control. Since high performance liquid chromatography (HPLC) is costly, other cost-effective screening methods need to be devised for this purpose. The present study was aimed at evaluating the utility of red cell indices and machine learning algorithms including an artificial neural network (ANN) in detection of BTT among antenatal women. This cross-sectional study included all antenatal women undergoing thalassemia screening at a tertiary care hospital. Complete blood count followed by HPLC was performed. Receiver operating characteristic (ROC) curve analysis was performed for obtaining optimal cutoff for each of the indices with determination of test characteristics for detection of BTT. Machine learning algorithms including C4.5 and Naïve Bayes (NB) classifier and a back-propagation type ANN including the red cell indices was designed and tested. Over a period of 15 months, 3947 patients underwent thalassemia screening. BTT was diagnosed in 5.98% of women on the basis of HPLC. ROC analysis yielded the maximum accuracy of 63.8%, sensitivity and specificity of 66.2% and 63.7%, respectively for Mean corpuscular hemoglobin concentration (MCHC). The C4.5 and NB classifier had accuracy of 88.56%-82.49% respectively while ANN had an overall accuracy of 85.95%, sensitivity of 83.81%, and specificity of 88.10% in detection of BTT. The present study highlights that none of the red cell parameters standalone is useful for screening for BTT. However, ANN with combination of all the red cell indices had an appreciable sensitivity and specificity for this purpose. Further refinements of the neural network can provide an appropriate tool for use in peripheral settings for thalassemia screening.

Codetection of pulmonary tuberculosis and toxoplasmosis in a pediatric bronchoalveolar lavage specimen: A cytologist's assistance to clinical management.

BACKGROUND: Toxoplasmosis causes serious and sometimes life-threatening disease in immunocompromised patients like organ transplant recipients, immunodeficiency disorders or HIV-infected individuals. The co-occurrence of toxoplasmosis in a respiratory sample harboring tuberculosis (TB) may be missed especially in an area endemic for the latter infection. CASE REPORT: A 10-year-old child presented with complaints of fever with loss of appetite and weight. Based on radiological and clinical features, a presumptive diagnosis of pulmonary TB was made and bronchoalveolar lavage (BAL) performed for cytological and microbiological confirmation. Smears from BAL showed numerous lymphocytes along with few ciliated columnar epithelial cells. Ziehl-Neelsen stain for acid-fast bacilli was positive. The Giemsa-stained cytosmears also showed clusters of crescent-shaped tachyzoites of toxoplasma gondii in a background of lymphocytes. The patient was initiated on anti-tubercular therapy with marked clinical improvement. CONCLUSION: A diligent screening of cytosmears for a possible coinfection in a TB-positive sample is essential for the cytopathologists to detect coexisting toxoplasmosis, which is a rare but treatable disease.

Failure rate prediction of equipment: can Weibull distribution be applied to automated hematology analyzers?

Background Life cycle prediction measures, that provide information on the probability of failure of equipments, have been applied in electronic and mechanical engineering and for predicting the strength of dental implants. However, the same has not been utilized as yet in medical equipment such as hematology analyzers. Methods Failure data of five automated hematology analyzers (3-part differential) was collected over 14 consecutive months and a Weibull probability plot was made. The scale and shape parameters of this plot were used to predict failure probability distribution. This was then combined with various costs involved in remedial maintenance to get a cost analysis. Results The analyzers in their "useful life" period were found to suffer fewer actual and predicted failures compared to those in the "wear out" phase. Cost analysis showed a considerably higher per month cost of remedial maintenance of analyzers compared to the price of a comprehensive maintenance contract. Conclusions Our study demonstrates, for the first time, that Weibull distribution can be applied well to hematology analyzers for modeling of failure data and the resultant information is helpful in the cost analysis of maintenance to allow for prudent and informed decision making with regards to the mode of maintenance of analyzers.