2018
DOI: 10.1111/imj.13805
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Observational cohort study of outcomes in patients admitted to the intensive care unit for acute exacerbation of chronic obstructive pulmonary disease

Abstract: In patients admitted to ICU for AECOPD, limitations of medical therapy are frequent and associated with significant mortality. Involving palliative care in addition to respiratory physicians and intensivists in the management of AECOPD patients admitted to ICU needs to be explored further.

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Cited by 4 publications
(2 citation statements)
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“…Moreover, lack of reliable biomarkers greatly limited in guiding clinicians in identifying patients for ICU admission. [24] Compared to the control group, patients with elevated IgE levels had a lower risk of mechanical ventilation and ICU admission. These data suggested that total serum IgE levels could be a useful biomarker to assess the severity of AECOPD and inform decisions for patients requiring mechanical ventilation treatment and ICU admission.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, lack of reliable biomarkers greatly limited in guiding clinicians in identifying patients for ICU admission. [24] Compared to the control group, patients with elevated IgE levels had a lower risk of mechanical ventilation and ICU admission. These data suggested that total serum IgE levels could be a useful biomarker to assess the severity of AECOPD and inform decisions for patients requiring mechanical ventilation treatment and ICU admission.…”
Section: Discussionmentioning
confidence: 99%
“…The selection of features and the time span of observation are also very important, and there are many factors that influence the prognosis of patients with AECOPD. Multiple studies have attempted to predict risk factors that affect mortality and readmission rates in AECOPD patients, such as acute physiology and chronic health evaluation scores, C-reactive protein, blood carbon dioxide partial pressure, and blood urea nitrogen [26,27]. Obviously, incorporating more features and increasing observation time is beneficial to improve the accuracy of the forecast, but it also increases the cost and complexity of the assessment.…”
Section: Discussionmentioning
confidence: 99%