2002
DOI: 10.1097/00003246-200207000-00035
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Prognostic factors, clinical course, and hospital outcome of patients with chronic obstructive pulmonary disease admitted to an intensive care unit for acute respiratory failure

Abstract: Physiologic abnormalities at admission to an intensive care unit and development of nonrespiratory organ failure are important predictors of hospital outcome for critically ill patients with chronic obstructive pulmonary disease who have acute respiratory failure. Improved outcome would require prevention and appropriate treatment of sepsis and multiple organ failure.

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Cited by 124 publications
(123 citation statements)
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“…In this study the overall mortality rate for patients with AECOPD requiring ICU admission was 12% which is slightly lower than the rates reported in other studies which ranged from 15% to 24%. 9,10 Our study demonstrated that patients with AE-COPD have lower survival rates if they have low mean A high blood urea nitrogen was also associated with higher mortality in our study. BUN is a component of the CURB-65 which predicts the severity of pneumonia and the BAP-65 which predicts poor outcomes in AECOPD.…”
Section: Chok Limsuwat Etal Factors Affecting Mortality In Aecopd DIsupporting
confidence: 53%
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“…In this study the overall mortality rate for patients with AECOPD requiring ICU admission was 12% which is slightly lower than the rates reported in other studies which ranged from 15% to 24%. 9,10 Our study demonstrated that patients with AE-COPD have lower survival rates if they have low mean A high blood urea nitrogen was also associated with higher mortality in our study. BUN is a component of the CURB-65 which predicts the severity of pneumonia and the BAP-65 which predicts poor outcomes in AECOPD.…”
Section: Chok Limsuwat Etal Factors Affecting Mortality In Aecopd DIsupporting
confidence: 53%
“…[4][5][6][7][8] This rate is much higher in the intensive care unit (ICU) setting and approaches 30% in patients older than 65. 9,10 Comorbidity appears to increase the mortality with AECOPD, and recent studies have focused on clinical parameters which predict inpatient and 30-day mortality following AECOPD. [11][12][13][14] These studies used models with PaCO2, oxygen saturation 15 , BMI 16,17 , age 16,18,19 , and comorbidities to predict in-hospital mortality during AECOPD.…”
mentioning
confidence: 99%
“…Despite widely analyzed pathophysiological processes and new treatment methods in laboratory and clinical research, less data are available on the causes of death, short-and long-term outcomes of critically ill patients, and associated risk factors. Frequently, data on specific predictive criteria for single diseases have been identified (Benoit et al, 2003;Wunsch et al, 2008;Afessa et al, 2002;Arabi et al, 2004). But, little is known on the exact causes of death and the influence of general risk factors that may consistently complicate the course of critically ill patients regardless of the underlying disease (Estenssoro et al, 2002;Khouli et al, 2005Chang et al, 2006.…”
Section: Introductionmentioning
confidence: 99%
“…The prognosis for such patients has been related to multiple factors, including pulmonary function test results, blood gas analysis results, degree of pulmonary hypertension, age, nutritional status, need for ventilatory support, and APACHE II score at ICU admission. (6,9,(16)(17)(18)(19) The reintegration of such patients into society, in terms of their ability to maintain adequate social interaction or perform their activities satisfactorily, has yet to be thoroughly investigated. (12)(13)(14)(15) There are few data regarding the need for hospital readmissions, the degree of dependence, the ability to remain self-sufficient, and the ability to resume work activities.…”
mentioning
confidence: 99%