Literature DB >> 15736217

Index for predicting mortality in elderly surgical patients.

H Lloyd1, I Ahmed, S Taylor, J R S Blake.   

Abstract

BACKGROUND: The aim of the study was to validate a mortality index for use in patients over 65 years of age undergoing operative treatment or conservative management.
METHODS: From a study conducted more than 20 years ago of elderly patients admitted with a surgical condition, 11 variables were identified as being significant in predicting mortality: age, white cell count, serum urea concentration, pulse rate, mean blood pressure, type of admission, urgency of operation, complexity of surgery, conservative management, and diagnostic categories of vascular disease and malignancy. Using multivariate logistic regression analysis, a mortality index was devised. This index was validated in a separate study of comparable patients treated in 1999-2001.
RESULTS: Comparison of the derivation and validation data sets showed similarity in the distribution of variables with no significant difference in mortality (overall mortality rate 9.3 per cent for the derivation set versus 9.6 per cent for the validation set; chi(2) = 0.084, 1 d.f., P = 0.771). Tests of calibration and discrimination showed no significant difference in predicted to actual deaths, and the receiver-operator characteristic plots of the two data sets showed good discrimination.
CONCLUSION: This mortality index was derived specifically for patients over 65 years of age receiving either operative or conservative treatment. It could be of use when counselling patients and their relatives about the possible outcome of treatment.

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Year:  2005        PMID: 15736217     DOI: 10.1002/bjs.4884

Source DB:  PubMed          Journal:  Br J Surg        ISSN: 0007-1323            Impact factor:   6.939


  5 in total

1.  Prospective evaluation of in-hospital mortality with the P-POSSUM scoring system in patients undergoing major digestive surgery.

Authors:  Féthi Merad; Gabriel Baron; Blandine Pasquet; Henry Hennet; Gérard Kohlmann; Fred Warlin; Bruno Desrousseaux; Abe Fingerhut; Philippe Ravaud; Jean-Marie Hay
Journal:  World J Surg       Date:  2012-10       Impact factor: 3.352

2.  Impact of age-related comorbidity on results of colorectal cancer surgery.

Authors:  Corrado Pedrazzani; Guido Cerullo; Giovanni De Marco; Daniele Marrelli; Alessandro Neri; Alfonso De Stefano; Enrico Pinto; Franco Roviello
Journal:  World J Gastroenterol       Date:  2009-12-07       Impact factor: 5.742

3.  Mortality Pattern of Hospitalized Surgical Patients in a Nigerian Tertiary Hospital.

Authors:  Ndubuisi O C Onyemaechi; Sunday O Popoola; Alexander Schuh; Alex T Iorbo; Itodo C Elachi; Kehinde S Oluwadiya
Journal:  Indian J Surg       Date:  2014-02-27       Impact factor: 0.656

4.  The Procedural Index for Mortality Risk (PIMR): an index calculated using administrative data to quantify the independent influence of procedures on risk of hospital death.

Authors:  Carl van Walraven; Jenna Wong; Carol Bennett; Alan J Forster
Journal:  BMC Health Serv Res       Date:  2011-10-07       Impact factor: 2.655

5.  Mortality in perforated peptic ulcer patients after selective management of stratified poor risk cases.

Authors:  M Mizanur Rahman; M Saiful Islam; Sabrina Flora; S Fariduddin Akhter; Shahid Hossain; Fazlul Karim
Journal:  World J Surg       Date:  2007-12       Impact factor: 3.282

  5 in total

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