Literature DB >> 7472683

Comparison of a disease-specific and a generic severity of illness measure for patients with community-acquired pneumonia.

M J Fine1, B H Hanusa, J R Lave, D E Singer, R A Stone, L A Weissfeld, C M Coley, T J Marrie, W N Kapoor.   

Abstract

OBJECTIVE: To compare the performances of a disease-specific severity of illness index and a prototypical generic severity of illness measure, MedisGroups Admission Severity Groups (ASGs), for patients with community-acquired pneumonia.
DESIGN: A retrospective database study. PATIENTS: Adult patients (aged > or = 18 years) with an ICD-9-CM principal diagnosis of pneumonia in 78 MedisGroups Comparative Database hospitals.
METHODS: The pneumonia severity of illness index (PSI) was developed to predict hospital mortality using logistic regression analyses in a 70% random sample of study patients. The performances of the PSI and the generic severity measure were assessed among the remaining 30% of patients by comparing observed mortalities within the five PSI and ASG severity classes, and areas under their receiver operating characteristic (ROC) curves. Both the PSI and the generic severity measure were used to estimate the 95% confidence interval of the expected number of deaths in each of the 78 study hospitals. Hospitals with an observed number of deaths outside these limits were identified as outliers.
RESULTS: There were 14,199 study patients who had community-acquired pneumonia, and 1,542 (10.9%) died during hospitalization. In comparison with the generic severity measure, the PSI more accurately identified patients at extremely low risk of death, and had a larger area under its ROC curve (0.84 vs 0.79; p < 0.0001). Of the 78 study hospitals, 17 (21.8%) were classified as outliers for mortality by at least one severity adjustment system. Among the 11 low-outlier hospitals, six were classified by the generic severity measure alone, two by the PSI alone, and three by both systems; among the six high-outlier hospitals, one was classified by the generic measure alone, three by the PSI alone, and two by both systems.
CONCLUSIONS: The PSI provided more accurate estimates of hospital mortality and classified different hospital outliers for mortality than did the generic severity of illness measure for patients with community-acquired pneumonia.

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Year:  1995        PMID: 7472683     DOI: 10.1007/bf02599830

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  23 in total

1.  Changes in sickness at admission following the introduction of the prospective payment system.

Authors:  E B Keeler; K L Kahn; D Draper; M J Sherwood; L V Rubenstein; E J Reinisch; J Kosecoff; R H Brook
Journal:  JAMA       Date:  1990-10-17       Impact factor: 56.272

2.  Predicting in-hospital mortality. A comparison of severity measurement approaches.

Authors:  L I Iezzoni; A S Ash; G A Coffman; M A Moskowitz
Journal:  Med Care       Date:  1992-04       Impact factor: 2.983

3.  The Computerized Severity Index. A new tool for case-mix management.

Authors:  S D Horn; R A Horn
Journal:  J Med Syst       Date:  1986-02       Impact factor: 4.460

4.  Interpreting hospital mortality data. How can we proceed?

Authors:  K L Kahn; R H Brook; D Draper; E B Keeler; L V Rubenstein; W H Rogers; J Kosecoff
Journal:  JAMA       Date:  1988 Dec 23-30       Impact factor: 56.272

5.  Prognosis of patients hospitalized with community-acquired pneumonia.

Authors:  M J Fine; J J Orloff; D Arisumi; G D Fang; V C Arena; B H Hanusa; V L Yu; D E Singer; W N Kapoor
Journal:  Am J Med       Date:  1990-05       Impact factor: 4.965

6.  The importance of classifying initial co-morbidity in evaluating the outcome of diabetes mellitus.

Authors:  M H Kaplan; A R Feinstein
Journal:  J Chronic Dis       Date:  1974-09

7.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

8.  Community-acquired pneumonia in adults in British hospitals in 1982-1983: a survey of aetiology, mortality, prognostic factors and outcome. The British Thoracic Society and the Public Health Laboratory Service.

Authors: 
Journal:  Q J Med       Date:  1987-03

9.  Validation of a pneumonia prognostic index using the MedisGroups Comparative Hospital Database.

Authors:  M J Fine; D E Singer; B H Hanusa; J R Lave; W N Kapoor
Journal:  Am J Med       Date:  1993-02       Impact factor: 4.965

10.  MEDISGRPS: a clinically based approach to classifying hospital patients at admission.

Authors:  A C Brewster; B G Karlin; L A Hyde; C M Jacobs; R C Bradbury; Y M Chae
Journal:  Inquiry       Date:  1985       Impact factor: 1.730

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  27 in total

1.  An integrated decision support system for diagnosing and managing patients with community-acquired pneumonia.

Authors:  D Aronsky; P J Haug
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2.  Severity prediction rules in community acquired pneumonia: a validation study.

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3.  BTS Guidelines for the Management of Community Acquired Pneumonia in Adults.

Authors: 
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4.  Practice guidelines for the management of community-acquired pneumonia in adults. Infectious Diseases Society of America.

Authors:  J G Bartlett; S F Dowell; L A Mandell; T M File; D M Musher; M J Fine
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Review 5.  Statistically derived predictive models. Caveat emptor.

Authors:  L I Iezzoni
Journal:  J Gen Intern Med       Date:  1999-06       Impact factor: 5.128

6.  Measuring symptomatic and functional recovery in patients with community-acquired pneumonia.

Authors:  J P Metlay; M J Fine; R Schulz; T J Marrie; C M Coley; W N Kapoor; D E Singer
Journal:  J Gen Intern Med       Date:  1997-07       Impact factor: 5.128

7.  Characteristics associated with clinician diagnosis of aspiration pneumonia: a descriptive study of afflicted patients and their outcomes.

Authors:  Michael J Lanspa; Paula Peyrani; Timothy Wiemken; Emily L Wilson; Julio A Ramirez; Nathan C Dean
Journal:  J Hosp Med       Date:  2014-11-01       Impact factor: 2.960

8.  Using severity measures to predict the likelihood of death for pneumonia inpatients.

Authors:  L I Iezzoni; M Shwartz; A S Ash; Y D Mackiernan
Journal:  J Gen Intern Med       Date:  1996-01       Impact factor: 5.128

9.  Severity assessment in community-acquired pneumonia: moving on.

Authors:  Wei Shen Lim
Journal:  Thorax       Date:  2007-04       Impact factor: 9.139

10.  Limited impact of a multicenter intervention to improve the quality and efficiency of pneumonia care.

Authors:  Ethan A Halm; Carol Horowitz; Alan Silver; Alan Fein; Yosef D Dlugacz; Bruce Hirsch; Mark R Chassin
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