Literature DB >> 18822637

Predictive model of blood transfusion during CABG surgery in Pakistan.

Sana Shoukat1, Saqib A Gowani, Farhad Khimani, Faraz A Khan, Mohammad Zaman, Hasanat Sharif.   

Abstract

OBJECTIVE: To determine predictors of need for transfusion of blood and blood products and create a clinical predictive model to reduce indiscriminate use of blood products during surgery.
METHOD: We conducted a retrospective chart review of 485 patients who underwent coronary artery bypass surgery from January 2004 to December 2004 at a Tertiary Care Hospital in Karachi, Pakistan. Independent predictors associated with transfusion were identified and a clinical prediction model developed.
RESULTS: The transfusion rate was 37.1%. A predictive model was created based on the presence of pulmonary disease, diabetes mellitus, low ejection fraction and recent/ongoing myocardial infarction.
CONCLUSION: The study identifies some predictors of need for blood transfusion in patients undergoing Coronary Artery Bypass Grafting. However, prospective studies with a larger sample of patients are needed to determine other predictors and their applicability in patient selection across institutions.

Entities:  

Mesh:

Year:  2008        PMID: 18822637

Source DB:  PubMed          Journal:  J Pak Med Assoc        ISSN: 0030-9982            Impact factor:   0.781


  2 in total

1.  Adverse Outcomes of Perioperative Red Blood Cell Transfusions in Coronary Artery Bypass Grafting in Hospital Universiti Sains Malaysia.

Authors:  Choon Hua Chan; Ghazali Mohamad Ziyadi; Mamat Ahmad Zuhdi
Journal:  Malays J Med Sci       Date:  2019-06-28

2.  Frequency of Blood Transfusion in Elective Coronary Artery Bypass Grafting and Its Correlation With Acute Kidney Injury at a Tertiary Care Hospital in a Lower Middle-Income Country.

Authors:  Muhammad Suleman; Khalid Samad; Hameed Ullah
Journal:  Cureus       Date:  2021-05-22
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.