» Articles » PMID: 26139738

Validation of the European System for Cardiac Operative Risk Evaluation-II Model in an Urban Indian Population and Comparison with Three Other Risk Scoring Systems

Overview
Specialty Anesthesiology
Date 2015 Jul 4
PMID 26139738
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Aims And Objectives: The aims were to compare the European System for Cardiac Operative Risk Evaluation (EuroSCORE)-II system against three established risk scoring systems for predictive accuracy in an urban Indian population and suggest improvements or amendments in the existing scoring system for adaptation in Indian population.

Materials And Methods: EuroSCORE-II, Parsonnet score, System-97 score, and Cleveland score were obtained preoperatively for 1098 consecutive patients. EuroSCORE-II system was analyzed in comparison to each of the above three scoring systems in an urban Indian population. Calibrations of scoring systems were assessed using Hosmer-Lemeshow test. Areas under receiver operating characteristics (ROC) curves were compared according to the statistical approach suggested by Hanley and McNeil.

Results: All EuroSCORE-II subgroups had highly significant P values stating good predictive mortality, except high-risk group (P = 0.175). The analysis of ROC curves of different scoring systems showed that the highest predictive value for mortality was calculated for the System-97 score followed by the Cleveland score. System-97 revealed extremely high predictive accuracies across all subgroups (curve area >80%). This difference in predictive accuracy was found to be statistically significant (P < 0.001).

Conclusions: The present study suggests that the EuroSCORE-II model in its present form is not validated for use in the Indian population. An interesting observation was significantly accurate predictive abilities of the System-97 score.

Citing Articles

Fluorine 18-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Cardiac Viability Risk Stratification in Comparison with EuroSCORE II for Revascularization in Patients with Left Ventricular Dysfunction.

Thangamuthu B, Elangovan I, Asra P, Simon S, Sathyamoorthy I Indian J Nucl Med. 2023; 38(2):110-114.

PMID: 37456177 PMC: 10348504. DOI: 10.4103/ijnm.ijnm_74_22.


Ethnicity in Anaesthesia research: Time to search our own backyards!.

Upadya M, Durga P, Rao S, Kurdi M Indian J Anaesth. 2022; 66(Suppl 5):S239-S242.

PMID: 36262732 PMC: 9575926. DOI: 10.4103/ija.ija_642_22.


Applicability of the commonly used risk scores for coronary bypass surgery in Algeria.

Boukhmis A, Nouar M, Guerchani M J Saudi Heart Assoc. 2022; 34(1):24-31.

PMID: 35586273 PMC: 9059726. DOI: 10.37616/2212-5043.1297.


Comparison of European System for Cardiac Operative Risk Evaluation (EuroSCORE) and the Society of Thoracic Surgeons(STS) score for risk prediction in Indian patients undergoing coronary artery bypass grafting.

Shales S, Uma Maheswara Rao S, Khapli S, Ghorai P, Behera S, Ghosh A Indian J Thorac Cardiovasc Surg. 2021; 37(6):623-630.

PMID: 34776660 PMC: 8546019. DOI: 10.1007/s12055-021-01186-1.


Mortality prediction in Indian cardiac surgery patients: Validation of European System for Cardiac Operative Risk Evaluation II.

Kar P, Geeta K, Gopinath R, Durga P Indian J Anaesth. 2017; 61(2):157-162.

PMID: 28250485 PMC: 5330073. DOI: 10.4103/ija.IJA_522_16.


References
1.
Roques F, Nashef S, Michel P, Gauducheau E, De Vincentiis C, Baudet E . Risk factors and outcome in European cardiac surgery: analysis of the EuroSCORE multinational database of 19030 patients. Eur J Cardiothorac Surg. 1999; 15(6):816-22; discussion 822-3. DOI: 10.1016/s1010-7940(99)00106-2. View

2.
Ferraris V, Ferraris S . Risk factors for postoperative morbidity. J Thorac Cardiovasc Surg. 1996; 111(4):731-38;discussion 738-41. DOI: 10.1016/s0022-5223(96)70333-1. View

3.
Borde D, Gandhe U, Hargave N, Pandey K, Khullar V . The application of European system for cardiac operative risk evaluation II (EuroSCORE II) and Society of Thoracic Surgeons (STS) risk-score for risk stratification in Indian patients undergoing cardiac surgery. Ann Card Anaesth. 2013; 16(3):163-6. DOI: 10.4103/0971-9784.114234. View

4.
Harrell Jr F, Lee K, Mark D . Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med. 1996; 15(4):361-87. DOI: 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4. View

5.
Green J, Wintfeld N . How accurate are hospital discharge data for evaluating effectiveness of care?. Med Care. 1993; 31(8):719-31. DOI: 10.1097/00005650-199308000-00005. View