Literature DB >> 6697738

Objective, quantitative measurement of severity of illness in critically ill patients.

D J Cullen, R Keene, C Waternaux, H Peterson.   

Abstract

Severity of illness must be quantitated in critically ill patients if studies of outcome and therapeutic efficacy are to be meaningful. Objective physiologic indicators of critical illness, such as pertinent laboratory values, can be quantitated using the Therapeutic Intervention Scoring System--TISS. TISS data were obtained for 199 consecutive Class IV critically ill surgical ICU patients and compared to the same data obtained in less critically ill Class II and III ICU patients who served as the control group. For the physiologic indicators of critical illness, a wide range of normal values was established prospectively. The actual values generated by Class IV patients were compared to values of the same indicators as measured in Class II and III ICU patients. Of all objective indicators of critical illness, 55% were either outside the normal range or more than 2 SD away from the mean value of objective indicators for Class II and III ICU patients; 49% were beyond the normal range or more than 3 SD away. Of all TISS indicators, 73% were abnormal, and 36% of all physiologic indicators were still abnormal despite massive therapeutic support when compared to Class II or III ICU patients. Those patients who had more than 40% of their physiologic indicators abnormal were more likely to die. However, the percentage of abnormal TISS indicators did not discriminate between patients who died and those who lived, because almost all patients received massive support.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1984        PMID: 6697738     DOI: 10.1097/00003246-198403000-00001

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  7 in total

1.  Generation and evaluation of intraoperative inferences for automated health care briefings on patient status after bypass surgery.

Authors:  D A Jordan; K R McKeown; K J Concepcion; S K Feiner; V Hatzivassiloglou
Journal:  J Am Med Inform Assoc       Date:  2001 May-Jun       Impact factor: 4.497

2.  Mortality and quality of life after intensive care for critical illness.

Authors:  C J Jacobs; J A van der Vliet; M T van Roozendaal; C J van der Linden
Journal:  Intensive Care Med       Date:  1988       Impact factor: 17.440

3.  Elevated endothelin 1 levels in critical illness.

Authors:  T Haak; E Jungmann; G Kasper-Dahm; S Ehrlich; K H Usadel
Journal:  Clin Investig       Date:  1994-02

4.  Long term survival after intensive care.

Authors:  S Ridley; R Jackson; J Findlay; P Wallace
Journal:  BMJ       Date:  1990-11-17

5.  Multimedia abstract generation of intensive care data: the automation of clinical processes through AI methodologies.

Authors:  Desmond Jordan; Sydney E Rose
Journal:  World J Surg       Date:  2010-04       Impact factor: 3.352

6.  The autopsy incidence of acute pulmonary embolism in critically ill surgical patients.

Authors:  D J Cullen; A R Nemeskal
Journal:  Intensive Care Med       Date:  1986       Impact factor: 17.440

7.  Current practice regarding invasive monitoring in intensive care units in Finland. A nationwide study of the uses of arterial, pulmonary artery and central venous catheters and their effect on outcome. The Finnish Intensive Care Study Group.

Authors:  E Saarela; A Kari; P Nikki; V Rauhala; E Iisalo; L Kaukinen
Journal:  Intensive Care Med       Date:  1991       Impact factor: 17.440

  7 in total

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