Evaluation of the in-hospital hemovigilance by introduction of the information technology-based system

Investigation of the patients with recurrent acute transfusion reactions: A single tertiary medical centre experience

OBJECTIVE

To assess the spectrum of patients who developed recurrent acute transfusion reactions (TRs) and to characterize these recurrent TRs.

METHODS

This retrospective study included patients who developed ≥2 acute TRs between April 2017 and March 2020 in a tertiary medical centre.

RESULTS

Among 216 TRs that occurred after 2024 transfusions in 87 patients, 66 (75.9%) patients reported a history of transfusions before the first TR and 70 (80.5%) patients received further transfusions after the last TR; with the same type of TR and reaction to the same type of blood product observed in 59 (67.8%) patients and 56 (64.4%) patients, respectively. TRs were most commonly associated with packed red blood cell (PRBC) transfusions and a febrile non-haemolytic transfusion reaction (FNHTR) was the most common type of TR. However, leukocyte reduced (LR) PRBCs were less common than LR platelets among transfusions with TR (22.7% [27/119] versus 75.0% [57/76], respectively) and premedication was prescribed before 196 of 216 (90.7%) transfusions with TR.

CONCLUSION

Most patients with recurrent TRs received repeated transfusions in addition to transfusions with TR. Instead of considering premedication, an increase in the use of LR might be the strategy to reduce the recurrence of TR.

Frequency and timing of all-cause deaths in visits involving suspected transfusion reactions, and the significance of cardiopulmonary disturbances

BACKGROUND/OBJECTIVES

Transfusion reactions (TRs) may cause or contribute to death. Cardiopulmonary TRs are distressing, and collectively account for most transfusion fatalities, though the degree to which they alter survival more broadly is unclear. Deaths (and their timing) after TRs may provide further insights.

MATERIALS/METHODS

Adult (tri-hospital network) haemovigilance data (2013-2016) recorded referrals with conclusions ranging from unrelated to transfusion (UTR) to entities such as: septic TRs, serologic/haemolytic reactions, transfusion-associated circulatory overload (TACO), transfusion-associated dyspnoea (TAD), transfusion-related acute lung injury (TRALI), allergic transfusion reaction (ATR), and others. For (in- or out-patient) visits involving suspected TRs (VISTRs), all-cause mortalities (% [95% confidence interval]) and associated time-to-death (TTD) (median days, [interquartile range]) were compared. Diagnoses were defined inclusively (possible-to-definite) or strictly (probable-to-definite).

RESULTS

Of 1144 events, rank order VISTR mortality following (possible-to-definite) TRs, and associated TTDs, were led by: DHTR 33% [6-19], 1 death at 123d; TRALI 32% [15-54], 6 deaths: 3d [2-20]; BaCon 21% [14-31], 17 deaths: 10d [3-28]; TACO 18% [12-26], 23 deaths: 16d [6-28]; TAD 17% [11-26]: 18 deaths, 6d [3-12]. Higher-certainty TRs ranked similarly (DHTR 50% [9-91]; BaCon 29% [12-55], 4 deaths: 12d [3-22]; and TACO 25% [16-38], 15 deaths: 21d [6-28]). VISTR mortality after TACO or TRALI significantly exceeded ATR (3·3% [2·4-5·8], P < 0·00001) but was not different from UTR events (P = 0·3).

CONCLUSIONS

Only half of cardiopulmonary TRs constituted high certainty diagnoses. Nevertheless, cardiopulmonary TRs and suspected BaCon marked higher VISTR mortality with shorter TTDs. Short (<1 week) TTDs in TAD, BaCon or TRALI imply either contributing roles in death, treatment refractoriness and/or applicable TR susceptibilities in the dying.

Associated Factors With Acute Transfusion Reaction From Hospital Online Reporting Events: A Retrospective Cohort Study

In our hospital’s hemovigilance system, a Wi-Fi–based vital signs monitor that automatically transmits data to ensure patient safety has been implemented. We derived the potential clinical characteristics for subsequent association of acute transfusion reactions (ATRs) using the hospital information system database.

Proposing a Model for the National Hemovigilance Information System in Iran

The present study aimed to propose a model for the national hemovigilance information system with a database approach, considering the importance and necessity of developing an information system for such a network.

This is an applied, descriptive, and cross-sectional study, which was conducted in 2018. The research population comprised hemovigilance information systems in advanced countries, including the USA, UK, Australia, and France. Data were collected from library sources and the Internet from 2000 to 2018. The proposed model for the national hemovigilance information system was introduced using comparative tables and based on the similarities and differences of systems in the studied countries. The proposed model was then validated using the two-step Delphi technique through a researcher-made questionnaire whose validity was confirmed, and reliability was approved by a Cronbach’s alpha of 94%.

The final model of the national hemovigilance information system comprised five main components: goals, organizations involved in the blood transfusion process, databases of blood transfusion organizations, data transfer flow between the databases of blood transfusion organizations, and transferable datasets, and hemovigilance-related committees. This model was approved by experts with an >85% agreement coefficient.

The national hemovigilance information system with a database approach can improve blood transfusion health by providing access to reliable sources on blood transfusion complications to everyone, especially the medical community. Thus, it is essential to implement this standard accurately and precisely control the practical methods of this process based on international guidelines.

A bibliometric analysis and visualization of medical data mining research

BACKGROUND

Data mining technology used in the field of medicine has been widely studied by scholars all over the world. But there is little research on medical data mining (MDM) from the perspectives of bibliometrics and visualization, and the research topics and development trends in this field are still unclear.

METHODS

This paper has applied bibliometric visualization software tools, VOSviewer 1.6.10 and CiteSpace V, to study the citation characteristics, international cooperation, author cooperation, and geographical distribution of the MDM.

RESULTS

A total of 1575 documents are obtained, and the most frequent document type is article (1376). SHAN NH is the most productive author, with the highest number of publications of 12, and the Gillies's article (750 times citation) is the most cited paper. The most productive country and institution in MDM is the USA (559) and US FDA (35), respectively. The Journal of Biomedical Informatics, Expert Systems with Applications and Journal of Medical Systems are the most productive journals, which reflected the nature of the research, and keywords "classification (790)" and "system (576)" have the strongest strength. The hot topics in MDM are drug discovery, medical imaging, vaccine safety, and so on. The 3 frontier topics are reporting system, precision medicine, and inflammation, and would be the foci of future research.

CONCLUSION

The present study provides a panoramic view of data mining methods applied in medicine by visualization and bibliometrics. Analysis of authors, journals, institutions, and countries could provide reference for researchers who are fresh to the field in different ways. Researchers may also consider the emerging trends when deciding the direction of their study.

Unacknowledged adverse transfusion reactions: Are they a mine to dig?

OBJECTIVES

Haemovigilance has long tried to characterize and understand transfusion reactions in order to prevent them. Unacknowledged ones are now a minority but they question us. Are they the result of incomplete clinical setting and/or insufficient medical reasoning, or can they contain real new entities we have not yet understood?

MATERIAL AND METHODS

Ten volunteer experts reviewed 30 recent unacknowledged cases. Their diagnostic propositions were compared with data issued from a five-year repository we have analysed in terms of statistical links between clinical signs and diagnoses.

RESULTS

Experts' opinions are only quite unanimous in 60% of the cases, and the proposed diagnosis remains unacknowledged in 53%. Repository comparison shows that signs like pain or digestive symptoms are far more frequent in unknown reactions. However, it is more the absence of some other signs which drives to that conclusion, in a default diagnosis mechanism.

CONCLUSION

Errors in transfusion reactions medical analysis are rare. Unacknowledged cases are more often linked to poor or unspecific clinical setting. But a particular attention must be paid with infrequent diagnoses which are far less characterised, like metabolic complications. Pain high occurrence in unknown cases also commands us to go further in the characterisation of acute pain transfusion reaction diagnosis, which is suggested by some authors.