Herein, we report a case of naturally occurring anti-Le
alloantibody identified in the plasma of a first time voluntary blood donor. The immunohematology workup was done on the pilot sample tubes ...collected during blood donation by the conventional tube technique and using ID-Micro Column System Glass Beads card (anti-IgG, C
d; Ortho-Clinical Diagnostics, Raritan, New Jersey, USA). Blood group of the donor was confirmed to be B RhD positive, and the alloantibody in his plasma was identified as anti-Le
, having clinically significant characteristics. Since in this particular case, anti-Le
was IgM and IgG in nature, it was clinically significant and can lead to hemolytic transfusion reaction, especially if such fresh frozen plasma unit is transfused to Le
negative patients.
This scientific article emphasizes the importance of a policy for antibody screening of all blood donors as a step to further improve blood safety. We also report the incidence of red blood cell ...(RBC) alloimmunization in healthy blood donors obtained using a cross-sectional prospective study from September 2017 to January 2019 in the Department of Transfusion Medicine of a tertiary care referral and teaching institute in northern India. The indirect antiglobulin test (IAT) for unexpected RBC antibodies was performed by the conventional tube test with pooled group O RBCs on all donor units irrespective of their D status. Samples with positive IATs were sent to the Immune Hematology Reference Laboratory for further immunohematolo-gy workup, maintaining predefined optimal storage and transport conditions. Of the 10,390 donors studied, 9959 were males and 431 were females. The incidence of unexpected antibodies (antibodies other than those of the ABO blood system) among the blood donors was found to be 0.18 percent (19 of 10,390 with 25 alloantibodies). Of the 19 alloimmunized donors, 16 (84.2%) were male (alloimmunization rate 0.16%, 16 of 9959) and 3 (15.8%) were female (alloimmunization rate 0.69%, 3 of 431) (p = 0.01; chi-square test). In our study, the most frequent alloantibodies identified were of the Lewis blood group system (17 of 25 68% in 14 of the 19 alloimmunized donors). The second most common allo-antibodies belonged to the Rh blood group system (4 of 25 16% in 3 of the 19 alloimmunized donors), followed by those of the MNS blood group system (3 of 25 12% in 2 of 19 alloimmunized donors). Anti-K was found in one donor (1 of 25 4%). Based on the results of the study, we recommend that a policy of routinely performing IATs on all donor units, irrespective of their D status, be adopted as an essential component of safe blood transfusion practices.
Bug tracking and analysis truly remains one of the most active areas of software engineering research. Bug tracking results may be employed by the software practitioners of large software projects ...effectively. The cost of detecting and correcting the defect becomes exponentially higher as we go from requirement analysis to the maintenance phase, where defects might even lead to loss of lives. Software metrics in conjunction with defect data can serve as basis for developing predictive models. Open source projects which encompass contributions from millions of people provide capacious dataset for testing. There have been diverse machine learning techniques proposed in the literature for analyzing complex relationships and extracting useful information from problems using optimal resources and time. However, more extensive research comparing these techniques is needed to establish superiority of one technique over another. This study aims at comparison of 14 ML techniques for development of effective defect prediction models. The issues addressed are 1) Construction of automated tool in Java to collect OO, inheritance and other metrics and detect bugs in classes extracted from open source repository, 2) Use of relevant performance measures to evaluate performance of predictive models to detect bugs in classes, 3) Statistical tests to compare predictive capability of different machine learning techniques, 4) Validation of defect prediction models. The results of the study show that Single Layer Perceptron is the best technique amongst all the techniques used in this study for development of defect prediction models. The conclusions drawn from this study can be used for practical applications by software practitioners to determine best technique for defect prediction and consequently carry out effective allocation of resources.
Kimura Disease: A Rare Case Report From Himalayan Region Malhotra, Manu; Varshney, Saurabh; Singh, Neha ...
Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India,
12/2017, Letnik:
69, Številka:
4
Report
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