Clinical Decision Support Trees Can Help Optimize Utilization of Anaplasma phagocytophilum Nucleic Acid Amplification Testing

Intraoperative and immediate postoperative transfusion: Clinical-hematological profile of transfunded patients in a university hospital

INTRODUCTION

The transfusion practice by surgery blood reserve, varied among services, must be performed through the rational and restrictive use of blood components because it is a scarce and expensive resource for health care services.

OBJECTIVE

Analyze the use of blood products for surgery blood reserve by means of the study of the clinical-hematological profile of patients submitted to intraoperative and immediate postoperative transfusions.

METHODS

This was an observational, cross-sectional, and retrospective study, conducted by collecting biological, operational, and laboratory variables, involving 680 patients at a university hospital who had elective surgery with surgery blood reserve request sent during the period from October 2021 to October 2022.

RESULTS

The overall transfusion rate was 25.44%, and the mean preoperative hemoglobin level of transfused patients was 9.74 ± 2.50 g/dL, with the mean number of transfusions packed red blood cell units was 1.58 ± 0.77. Patients with higher preoperative hemoglobin levels were less likely to have transfusion (p < 0.001) and patients who had surgical oncologic were more likely to require transfusion (p = 0.048). The transfusion rate of packed red blood cells and platelets concentrates, compared to what was requested, was 15.86% and 5.82%.

CONCLUSION

There is a tendency of transfusions to follow restrictive models, with higher transfusion probability in surgical oncologic. Furthermore, there should be more a conscise use of the surgery blood reserves request.

Working with the Electronic Health Record and Laboratory Information System to Maximize Ordering and Reporting of Molecular Microbiology Results

Molecular microbiology assays have a higher cost of testing compared to traditional methods and need to be utilized appropriately. Results from these assays may also require interpretation and appropriate follow-up. Electronic tools available in the electronic health record and laboratory information system can be deployed both preanalytically and postanalytically to influence ordering behaviors and positively impact diagnostic stewardship. Next generation technologies, such as machine learning and artificial intelligence, have the potential to expand upon the capabilities currently available and warrant additional study and development but also require regulation around their use in health care.