Literature DB >> 20507299

Assessment of the Initial and Modified Parsonnet score in mortality prediction of the patients operated in the Sarajevo Heart center.

Mirsad Kacila1, Kaushal K Tiwari, Nermir Granov, Edin Omerbasić, Slavenka Straus.   

Abstract

This study has been conducted in an effort to establish more suitable and accurate scoring model we use in everyday practice. Among the specific outcome prediction models, in 1989 Parsonnet et al elaborated a method of uniform risk stratification for evaluation of the results of cardiac surgery procedures. We have tested two forms of the Parsonnet score, Initial and Modified Parsonnet score, in our patients. In the first half of the year 2007, 145 patients were operated in Sarajevo Heart center. All operated patients in that period, have participated in this study. The overall hospital mortality was 4,13 (6 deaths). This study shows that the initial and modified Parsonnet's scores are predictive for operative mortality in adult cardiac surgery patients.

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Year:  2010        PMID: 20507299      PMCID: PMC5509404          DOI: 10.17305/bjbms.2010.2717

Source DB:  PubMed          Journal:  Bosn J Basic Med Sci        ISSN: 1512-8601            Impact factor:   3.363


  9 in total

1.  Risk stratification for open heart surgery: trial of the Parsonnet system in a British hospital.

Authors:  S A Nashef; F Carey; M M Silcock; P K Oommen; R D Levy; M T Jones
Journal:  BMJ       Date:  1992-10-31

2.  Mortality after cardiac bypass surgery: prediction from administrative versus clinical data.

Authors:  Jane M Geraci; Michael L Johnson; Howard S Gordon; Nancy J Petersen; A Laurie Shroyer; Frederick L Grover; Nelda P Wray
Journal:  Med Care       Date:  2005-02       Impact factor: 2.983

3.  It is time for a national cardiothoracic surgical data base.

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Journal:  Ann Thorac Surg       Date:  1989-12       Impact factor: 4.330

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Journal:  Circulation       Date:  1989-06       Impact factor: 29.690

5.  Identification of patients at greatest risk for developing major complications at cardiac surgery.

Authors:  K E Hammermeister; C Burchfiel; R Johnson; F L Grover
Journal:  Circulation       Date:  1990-11       Impact factor: 29.690

6.  Determinants of operative mortality for patients undergoing aortic valve replacement. Discriminant analysis of 1,479 operations.

Authors:  W C Scott; D C Miller; A Haverich; K Dawkins; R S Mitchell; S W Jamieson; P E Oyer; E B Stinson; J C Baldwin; N E Shumway
Journal:  J Thorac Cardiovasc Surg       Date:  1985-03       Impact factor: 5.209

7.  A method of uniform stratification of risk for evaluating the results of surgery in acquired adult heart disease.

Authors:  V Parsonnet; D Dean; A D Bernstein
Journal:  Circulation       Date:  1989-06       Impact factor: 29.690

8.  A simple classification of the risk in cardiac surgery.

Authors:  B Paiement; C Pelletier; I Dyrda; J G Maillé; M Boulanger; J Taillefer; P Sahab; M Delorme; E Dupont
Journal:  Can Anaesth Soc J       Date:  1983-01

9.  Risk stratification using the Society of Thoracic Surgeons Program.

Authors:  B G Hattler; C Madia; C Johnson; J M Armitage; R L Hardesty; R L Kormos; S M Pham; D N Payne; B P Griffith
Journal:  Ann Thorac Surg       Date:  1994-11       Impact factor: 4.330

  9 in total
  2 in total

1.  Does Parsonnet scoring model predict mortality following adult cardiac surgery in India?

Authors:  Moningi Srilata; Narmada Padhy; Durga Padmaja; Ramachandran Gopinath
Journal:  Ann Card Anaesth       Date:  2015 Apr-Jun

Review 2.  Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review.

Authors:  Santino R Rellum; Jaap Schuurmans; Ward H van der Ven; Susanne Eberl; Antoine H G Driessen; Alexander P J Vlaar; Denise P Veelo
Journal:  J Thorac Dis       Date:  2021-12       Impact factor: 2.895

  2 in total

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