Erythrocyte Autoantibody Positivity in Serological Cross-matching.

OBJECTIVE: To investigate the erythrocyte autoantibody positivity detected in the serological cross-matching (XM), and its  possible effects on salient hemogram parameters. STUDY DESIGN: A descriptive study. PLACE AND DURATION OF STUDY: Balikesir Atatürk City Hospital's Blood Transfusion Centre, Faculty of Medicine, Department of Anesthesiology and Reanimation, Balikesir University, Turkey, from 2017 to 2018. METHODOLOGY: Erythrocyte autoantibody positivity, which was detected in the traditional serological cross-matching for a pre-transfusion laboratory test were analysed retrospectively. Later, hemogram changes in the previous (no erythrocyte autoantibodies) and following (erythrocyte autoantibodies present) transfusions were investigated using statistical methods. RESULTS: Erythrocyte autoantibody positivity rate was 10.16% (342/3,365). There was no statistically significant difference in the increase of hemoglobin, hematocrit, and red blood cell between the period when erythrocyte autoantibodies were detected or not, (p = 0.27, 0.13, and 0.09, respectively). CONCLUSION: Erythrocyte autoantibodies positivity found on routine cross-match exmination, which must be considered together with parameters such as previous transfusion history, other pre-transfusion laboratory test results, and clinical presentation and management. Key Words: Transfusion, Erythrocye autoantibody, Alloantibody, Hemogram, Cross-matching.

Epidemiological evaluation of an Acinetobacter baumannii outbreak observed at an intensive care unit.

OBJECTIVES: To reveal the relationship between clinical and environmental isolates, analyzing both phenotypic and molecular aspects, in an Acinetobacter baumannii (A. baumannii) epidemic, and to use the epidemiological data to determine the source of the epidemic, to identify potential risk factors, and inform the effort to prevent and manage future epidemics. METHODS: Acinetobacter baumannii was isolated from 5 clinical samples in Sultan Abdulhamid Han Training and Research hospital, Istanbul, Turkey, for a week period. To determine potential sources of infection we established  cultures surveillance. Microbiological identification and antibiotic susceptibility testing of A. baumannii were performed using conventional methods and automated identification system. Multiplex polymerase chain reaction (PCR) and pulsed-field gel electrophoresis (PFGE) were used for carbapenemase gene screening and clonal relationship evaluation. RESULTS: Among the environmental samples, bacterial growth was observed in 3 of the sample cultures. Clinical and environmental samples collected from patients X and Y had phenotypically similar antibiotic susceptibility patterns. The clinical and environmental isolates from patients X and Y comprised the first cluster (6 isolates), the isolates from patient Z formed the second cluster (2 isolates). CONCLUSION: We detected that all outbreak-related isolates contained the same OXA-type carbapenemase genes. Phenotypic similarity, based on the analysis of antimicrobial susceptibility patterns, was correlated with genotypic similarity. These results suggest that monitoring antimicrobial resistance patterns with daily culture surveillance follow-ups, coupled with the use of amplification based methods to detect that clonal relationships are important for the early identification of outbreaks and rapid deployment of proper countermeasures to halt the spread of the causative agent.