Evidence map›Paper›PMID 32418192›Full record

ArticleGeneral thoracic and cardiovascular surgery2020

Adjusted preoperative variables to predict perioperative red blood cell transfusion in coronary artery bypass grafting.

Liangyuan Lu, Ji Che, Wuxiang Xie, Weiping Cheng, Zhanmin Yang, Ran Dong, Jiapeng Huang, Jiakai Lu

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Article in General thoracic and cardiovascular surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 62% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Liangyuan LuDepartment of Anesthesiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 An Zhen Road, Chaoyang District, Beijing, 100029, Beijing, China.
Ji CheDepartment of Transfusion, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China.
Wuxiang XiePeking University Clinical Research Institute, Peking University Health Science Center, Beijing, China.
Weiping ChengDepartment of Anesthesiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 An Zhen Road, Chaoyang District, Beijing, 100029, Beijing, China.
Zhanmin YangDepartment of Anesthesiology, Aerospace Center Hospital, Beijing, China.
Ran DongDepartment of Cardiac Surgery, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China.
Jiapeng HuangDepartment of Anesthesiology and Perioperative Medicine, University of Louisville, 530 South Jackson Street, Louisville, KY, 40202, USA. jiapenghuang@yahoo.com.
Jiakai LuDepartment of Anesthesiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 An Zhen Road, Chaoyang District, Beijing, 100029, Beijing, China. lujiakai620@163.com.
Capital Medical University · CNBeijing Anzhen Hospital · CNAerospace Center Hospital · CNPeking University · CNUniversity of Louisville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe variables for predicting blood transfusion perioperatively are not completely clear in coronary artery bypass grafting (CABG) patients.

objectivesTo construct a comprehensive model to predict perioperative RBC transfusion in patients undergoing isolated CABG using adjusted preoperative variables.

methodsPerioperative data of 1253 patients who underwent isolated CABG by the same surgical team were collected from April 2018 to March 2019. Logistic regression analyses were used to establish equations to construct two models for predicting intraoperative and postoperative RBC transfusions, respectively. All significant variables included in the two models were combined to form a comprehensive model to predict perioperative RBC transfusion. Area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the discriminatory power of the models.

resultsThe total RBC transfusion rate for CABG patients during hospitalization was 29.05%. The rate of intraoperative and postoperative RBC transfusions was 6.9% and 26.7%, respectively. Eight variables in a total of 30 risk factors constituted the intraoperative prediction model, 12 variables constituted the postoperative prediction model, and 13 variables for the combined model. The AUC of the three models were 0.87, 0.82, and 0.83, respectively, demonstrating moderate discriminatory power for RBC transfusion during the intraoperative, postoperative, and perioperative periods.

conclusionThe comprehensive model combined with all variables of predicting intraoperative and postoperative RBC transfusion is feasible for predicting perioperative RBC transfusion.

Indexed as

Coronary Artery BypassErythrocyte TransfusionBlood TransfusionHumansRisk FactorsROC CurveCardiovascular diseaseCoronary artery bypass graftingPredictive modelRed blood cell countRisk factor

Identifiers

PMID32418192
OpenAlexW3025451201

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.