Literature DB >> 2501373

Description of various types of intensive and intermediate care units in France. French Multicentric Group of ICU Research.

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Abstract

The types of intensive care are multiple. The aim of this multicentric study was to describe activity of different ICUs using the same methods. 38 ICU were chosen by cooption, not randomization. Collected data concerned input (age, previous health status (HS), Simplified Acute Physiology Score or SAPS, Intensive Care Group (ICG), processes (TISS points), percentage of ventilated patients and pulmonary arterial lines and outcome (ICU death rate). The 3 ICG were: M = medical: all the none surgical patients; S = surgical patients operated in emergency setting during the week preceding or following ICU admission; E = surgical patients whose admission to ICU was scheduled at least 24 h before because of elective surgery. 3,687 patients were studied, classified as follows: M = 2175; S = 885; E = 627. The first part of the results concerned the differences between the three ICG: inputs, processes and outcome were very different in the three groups M, S, E, particularly in the E (elective) group, where therapeutic level was higher for low SAPS and mortality lower for high SAPS. The second part of the results concerns the differences between the ICUs. Intermediate units had older, less severe, and mainly medical patients. Surgical patients had better previous health status, were younger and scheduled for 40%. TISS points were higher, mainly by a higher rate of ventilated patients and patients with pulmonary artery lines on the first day. Specialized units characteristics depended mainly on the ICG.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1989        PMID: 2501373     DOI: 10.1007/bf00271063

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  8 in total

1.  Therapeutic intervention scoring system: a method for quantitative comparison of patient care.

Authors:  D J Cullen; J M Civetta; B A Briggs; L C Ferrara
Journal:  Crit Care Med       Date:  1974 Mar-Apr       Impact factor: 7.598

2.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Crit Care Med       Date:  1985-10       Impact factor: 7.598

3.  Simplified acute physiological score for intensive care patients.

Authors:  J R Le Gall; P Loirat; A Alperovitch
Journal:  Lancet       Date:  1983-09-24       Impact factor: 79.321

4.  A comparison of intensive care in the U.S.A. and France.

Authors:  W A Knaus; J R Le Gall; D P Wagner; E A Draper; P Loirat; R A Campos; D J Cullen; M K Kohles; P Glaser; C Granthil; P Mercier; F Nicolas; P Nikki; B Shin; J V Snyder; F Wattel; J E Zimmerman
Journal:  Lancet       Date:  1982-09-18       Impact factor: 79.321

5.  A simplified acute physiology score for ICU patients.

Authors:  J R Le Gall; P Loirat; A Alperovitch; P Glaser; C Granthil; D Mathieu; P Mercier; R Thomas; D Villers
Journal:  Crit Care Med       Date:  1984-11       Impact factor: 7.598

6.  Therapeutic Intervention Scoring System: update 1983.

Authors:  A R Keene; D J Cullen
Journal:  Crit Care Med       Date:  1983-01       Impact factor: 7.598

7.  APACHE-acute physiology and chronic health evaluation: a physiologically based classification system.

Authors:  W A Knaus; J E Zimmerman; D P Wagner; E A Draper; D E Lawrence
Journal:  Crit Care Med       Date:  1981-08       Impact factor: 7.598

8.  Neurosurgical admissions to the intensive care unit: intensive monitoring versus intensive therapy.

Authors:  W A Knaus; E Draper; D E Lawrence; D P Wagner; J E Zimmerman
Journal:  Neurosurgery       Date:  1981-04       Impact factor: 4.654

  8 in total
  3 in total

1.  Time oriented score system (TOSS): a method for direct and quantitative assessment of nursing workload for ICU patients. Italian Multicenter Group of ICU research (GIRTI).

Authors: 
Journal:  Intensive Care Med       Date:  1991       Impact factor: 17.440

2.  Outcomes of prolonged mechanic ventilation: a discrimination model based on longitudinal health insurance and death certificate data.

Authors:  Hsin-Ming Lu; Likwang Chen; Jung-Der Wang; Mei-Chuan Hung; Ming-Shian Lin; Yuan-Horng Yan; Cheng-Ren Chen; Po-Sheng Fan; Lynn Chu Huang; Ken N Kuo
Journal:  BMC Health Serv Res       Date:  2012-04-25       Impact factor: 2.655

3.  The Outcomes and Prognostic Factors of the Very Elderly Requiring Prolonged Mechanical Ventilation in a Single Respiratory Care Center.

Authors:  Chih-Cheng Lai; Shian-Chin Ko; Chin-Ming Chen; Shih-Feng Weng; Kuei-Ling Tseng; Kuo-Chen Cheng
Journal:  Medicine (Baltimore)       Date:  2016-01       Impact factor: 1.817

  3 in total

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