Massive Transfusion of Blood in the Surgical Patient

Raymer, Jordan M.; Flynn, Lisa; Martin, Ronald F.

doi:10.1016/j.suc.2012.01.008

Cited by 46 publications

(35 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Age was not used as a predictor because it may not be consistently or accurately determined upon admission. Using the definition of a massive transfusion as the transfusion of 10 or more units of RBC and/ or LTOWB in the first 24 hours of admission, the two decision trees were evaluated as described below for their ability to predict which of the trauma patients at this hospital received a massive transfusion. Of note, if a patient died before at least 10 RBC/LTOWB units were transfused, then they were not included among the patients who received a massive transfusion in this study.…”

Section: Methodsmentioning

confidence: 99%

Application of a recursive partitioning decision tree algorithm for the prediction of massive transfusion in civilian trauma: the MTPitt prediction tool

et al. 2018

View full text Add to dashboard Cite

BACKGROUND A supervised machine learning algorithm was used to generate decision trees for the prediction of massive transfusion at a Level 1 trauma center. METHODS Trauma patients who received at least one unit of RBCs and/or low‐titer group O whole blood between January 1, 2015, and December 31, 2017, were included. Massive transfusion was defined as the transfusion of 10 or more units of RBCs and/or low‐titer group O whole blood in the first 24 hours of admission. A recursive partitioning algorithm was used to generate two decision trees for prediction of massive transfusion using a training data set (n = 550): the first, MTPitt, was based on demographic and clinical parameters, and the second, MTPitt+Labs, also included laboratory data. Decision tree performance was compared with the Assessment of Blood Consumption score and the Trauma Associated Severe Hemorrhage score. RESULTS The incidence of massive transfusion in the validation data set (n = 199) was 7.5%. The MTPitt decision tree had a higher balanced accuracy (81.4%) and sensitivity (86.7%) compared to an Assessment of Blood Consumption Score of 2 or higher (77.9% and 66.7%, respectively) and a Trauma Associated Severe Hemorrhage score of 9 or higher (75.0% and 73.3%, respectively), although the 95% confidence intervals overlapped. Addition of laboratory data to the MTPitt decision tree (MTPitt+Labs) resulted in a higher specificity and balanced accuracy compared to MTPitt without an increase in sensitivity. CONCLUSIONS The MTPitt decisions trees are highly sensitive tools for identifying patients who received a massive transfusion and do not require computational resources to be implemented in the trauma setting.

show abstract

Section: Methodsmentioning

confidence: 99%

Application of a recursive partitioning decision tree algorithm for the prediction of massive transfusion in civilian trauma: the MTPitt prediction tool

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Kanın alınması, muhafazası ve transfüzyon işlemi uygun bir şekilde yapıldığında masif transfüzyon yaşam kurtarıcı bir işlemdir. Hastaya 1 saat içinde 4 üniteden daha fazla ES transfüzyonu yapılacaksa o zaman masif transfüzyon protokolleri uygulanarak dengeli kan (ES: TDP: Plt) transfüzyonu yapılmalıdır (5)(6)(7)(8) .…”

Section: Masif Transfüzyon Ne Demektir Ve Hangi Durumlarda Yapılmalıdır?unclassified

Blood Transfusion and Massive Transfusion Protocols in War and Terror

Kılbaş¹,

Kaymak²

2017

Okmeydani Medical Journal

View full text Add to dashboard Cite

show abstract

“…Protokoli za masivnu transfuziju su modifikovani, ali svi razmatraju izbor i odnos koncentrovanih eritrocita, plazme i trombocita. Nedavne studije su preporučile nadoknadu koncentrovanih eritrocita, sveže smrznute plazme i trombocita u odnosu 1:1:1 u cilju sprečavanja nastanka dilucione koagulopatije 11,12,13,14 . Međutim, savremena istraživanja poka-zuju da je perioperativni monitoring koagulacije jako važan u adekvatnom i pravovremenom sagledavanju koagulacionog sistema bolesnika.…”

Section: Diskusijaunclassified