Effect of warming and infusion of red blood cell concentrates on markers of haemolysis: An ex vivo simulation study

Pires, Maria Paula de Oliveira; Ullman, Amanda; Bulmer, Andrew Cameron; Rickard, Claire M; Peterlini, Maria Angélica Sorgini

doi:10.1016/j.aucc.2020.08.003

Cited by 4 publications

(1 citation statement)

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“…RBC transfusions, which account for about 100 million worldwide each year, are a crucial therapeutic intervention to lower morbidity and death. The World Health Organization has identified red blood cell transfusions as posing a risk to patient safety because of the frequency and severity of adverse reactions, including hemolysis, that may result from potential cell damage during the donation, handling, storage, and/or administration of RBC units [25].…”

Section: Discussionmentioning

confidence: 99%

Fuzzy Logic Temperature Control on Blood Warmer Equipped with Patient Temperature and Blood Temperature

Hafizh,

Hamzah,

Syaifudin

2024

Indones.J.electronic.electromed.med.inf

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Body temperature in humans varies greatly depending on the location where the reading is taken. Normal core body temperature in humans is maintained by the hypothalamus and usually ranges from 36.5°C to 37.5°C. One of the causes of the failure of Too high or too low of a temperature during the blood transfusion procedure may cause blood to freeze or get damaged, both of which can be fatal to humans, therefore the purpose of this tool is to lower blood temperature admission to the patient can be achieved so that there is no temperature drop or temperature drop and so that the blood is not too hot because it can cause damage to red blood cells. This study uses the DS18B20 Sensor to control the heater with PID and Fuzzy controls, the MLX90614 Sensor to adjust the temperature according to the patient's body temperature and the Optocoupler Sensor as an indicator when fluids run out. Previous studies have not used the MLX90614 sensor to detect patient body temperature, have not used TFT Nextion and have not used Fuzzy controls. This Fuzzy control is used as a heater control which then the results are displayed on the Nextion TFT. The results of this study obtained the highest error value of 0.09 with an average error value of 0.04 and obtained the highest overshoot value of 0.8. From the results of the above study it can be concluded that by using the Fuzzy control the response time is slower with a larger overshoot. In the creation of this tool, the benefits that can be derived for the community are facilitating the monitoring of patient temperature and blood temperature during blood transfusions using the Blood Warmer device. The device is also equipped with sensors to detect patient and blood temperatures, and it comes with a Nextion TFT display. Therefore, this device is crucial in assisting the community in performing Blood Transfusions.

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Section: Discussionmentioning

confidence: 99%