Literature DB >> 3718136

Physiologic abnormalities and outcome from acute disease. Evidence for a predictable relationship.

D P Wagner, W A Knaus, E A Draper.   

Abstract

Initial physiologic data from 1625 nonoperative patients with 18 acute life-threatening diseases treated in an intensive care unit suggest a uniform predictable relationship between acute changes in normal physiologic balance and a patient's risk of death. We found that incremental deviations from normal physiologic balance represent equivalent and predictable incremental risks to survival, regardless of the disease initiating the physiologic disturbance. The relative impact of these physiologic abnormalities on outcome may depend on our understanding of the disease's mechanism of action. Diseases for which there is good understanding of underlying pathophysiology and precise treatment appear to have lower death rates throughout the range of physiologic imbalance compared with those for which pathophysiologic knowledge is limited or unknown. These results document the importance of pathophysiologic understanding to improving survival from acute disease. More importantly, they suggest a predictable relationship between risk of death and physiologic abnormalities for a wide range of diseases. The existence of such a relationship could greatly expand our prognostic ability and permit improved evaluation of new therapeutic discoveries.

Entities:  

Mesh:

Year:  1986        PMID: 3718136

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  12 in total

1.  A comparison of nursing and medical diagnoses in predicting hospital outcomes.

Authors:  J M Welton; E J Halloran
Journal:  Proc AMIA Symp       Date:  1999

2.  The relationship between a nutritional index and acute physiology score in critical illness.

Authors:  D B Gough; M White; M Morrin; W Joyce; D Phelan; J M Fitzpatrick; T F Gorey
Journal:  Ir J Med Sci       Date:  1992-09       Impact factor: 1.568

3.  Admission and mid-stay MedisGroups scores as predictors of death within 30 days of hospital admission.

Authors:  L I Iezzoni; A S Ash; G Coffman; M A Moskowitz
Journal:  Am J Public Health       Date:  1991-01       Impact factor: 9.308

4.  A clinical sickness score for the critically ill in Central Africa.

Authors:  D A Watters; I H Wilson; J R Sinclair; N Ngandu
Journal:  Intensive Care Med       Date:  1989       Impact factor: 17.440

Review 5.  Proposed definitions for diagnosis, severity scoring, stratification, and outcome for trials on intraabdominal infection. Joint Working Party of SIS North America and Europe.

Authors:  P O Nyström; R Bax; E P Dellinger; L Dominioni; W A Knaus; J L Meakins; C Ohmann; J S Solomkin; H Wacha; D H Wittmann
Journal:  World J Surg       Date:  1990 Mar-Apr       Impact factor: 3.352

6.  Post-operative circulating cytokine patterns--the influence of infection.

Authors:  M Kristiansson; M Soop; L Saraste; K G Sundqvist
Journal:  Intensive Care Med       Date:  1993       Impact factor: 17.440

7.  Grading asthma severity: using the APS component of the Apache II system.

Authors:  A C Day; A P Rankin; J A Judson
Journal:  Intensive Care Med       Date:  1993       Impact factor: 17.440

8.  The impact of unit-based self-management by nurses on patient outcomes.

Authors:  S D Cassard; C S Weisman; D L Gordon; R Wong
Journal:  Health Serv Res       Date:  1994-10       Impact factor: 3.402

9.  Intraabdominal infections: classification, mortality, scoring and pathophysiology.

Authors:  R G Holzheimer; K H Muhrer; N L'Allemand; T Schmidt; K Henneking
Journal:  Infection       Date:  1991 Nov-Dec       Impact factor: 3.553

10.  Clinical relevance of the severe abnormalities of the T cell compartment in septic shock patients.

Authors:  Jorge Monserrat; Raul de Pablo; Eduardo Reyes; David Díaz; Hugo Barcenilla; Manuel R Zapata; Antonio De la Hera; Alfredo Prieto; Melchor Alvarez-Mon
Journal:  Crit Care       Date:  2009-02-25       Impact factor: 9.097

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