scholarly journals Increased Long-Term Mortality in Patients Admitted to the Intensive Care Unit with Health-Care Associated Pneumonia

Author(s):  
Kristin Wise ◽  
Jordan Kempker ◽  
Radu Neamu ◽  
Ketino Kobaidze

The American Thoracic Society (ATS) and the Infectious Diseases Society of America (IDSA) developed and periodically update guidelines for the diagnosis and management of community-acquired and nosocomial pneumonia based on the patient-care setting in which pneumonia evolved. ATS/IDSA provides guidelines for empiric antibiotic choices based on the category of pneumonia that is diagnosed. Pneumonia is a significant cause of mortality in the United States and when combined with influenza ranks as the eighth leading cause of death nationwide yet little is known about the mortality of critically ill patients with pneumonia that require admission to a medical intensive care unit (ICU). Our findings suggest that older age, higher severity of illness at ICU admission, and chronic comorbid illnesses are the main contributors to long-term mortality from pneumonia requiring ICU admission. In this cohort, we found an independent association between increased mortality and admission from the general hospital ward rather than directly from the emergency department. Our study did not demonstrate that initial guideline-based antibiotic therapy was associated with a reduction in short-term mortality; however, it did demonstrate a high prevalence of resistant pathogens in HCAP/HAP patients, which reflects ATS/IDSA guideline expectations

1998 ◽  
Vol 16 (2) ◽  
pp. 761-770 ◽  
Author(s):  
J S Groeger ◽  
S Lemeshow ◽  
K Price ◽  
D M Nierman ◽  
P White ◽  
...  

PURPOSE To develop prospectively and validate a model for probability of hospital survival at admission to the intensive care unit (ICU) of patients with malignancy. PATIENTS AND METHODS This was an inception cohort study in the setting of four ICUs of academic medical centers in the United States. Defined continuous and categorical variables were collected on consecutive patients with cancer admitted to the ICU. A preliminary model was developed from 1,483 patients and then validated on an additional 230 patients. Multiple logistic regression modeling was used to develop the models and subsequently evaluated by goodness-of-fit and receiver operating characteristic (ROC) analysis. The main outcome measure was hospital survival after ICU admission. RESULTS The observed hospital mortality rate was 42%. Continuous variables used in the ICU admission model are PaO2/FiO2 ratio, platelet count, respiratory rate, systolic blood pressure, and days of hospitalization pre-ICU. Categorical entries include presence of intracranial mass effect, allogeneic bone marrow transplantation, recurrent or progressive cancer, albumin less than 2.5 g/dL, bilirubin > or = 2 mg/dL, Glasgow Coma Score less than 6, prothrombin time greater than 15 seconds, blood urea nitrogen (BUN) greater than 50 mg/dL, intubation, performance status before hospitalization, and cardiopulmonary resuscitation (CPR). The P values for the fit of the preliminary and validation models are .939 and .314, respectively, and the areas under the ROC curves are .812 and .802. CONCLUSION We report a disease-specific multivariable logistic regression model to estimate the probability of hospital mortality in a cohort of critically ill cancer patients admitted to the ICU. The model consists of 16 unambiguous and readily available variables. This model should move the discussion regarding appropriate use of ICU resources forward. Additional validation in a community hospital setting is warranted.


2012 ◽  
Vol 21 (6) ◽  
pp. e120-e128 ◽  
Author(s):  
T. K. Timmers ◽  
M. H. J. Verhofstad ◽  
K. G. M. Moons ◽  
L. P. H. Leenen

Background Readmission within 48 hours is a leading performance indicator of the quality of care in an intensive care unit. Objective To investigate variables that might be associated with readmission to a surgical intensive care unit. Methods Demographic characteristics, severity-of-illness scores, and survival rates were collected for all patients admitted to a surgical intensive care unit between 1995 and 2000. Long-term survival and quality of life were determined for patients who were readmitted within 30 days after discharge from the unit. Quality of life was measured with the EuroQol-6D questionnaire. Multivariate logistic analysis was used to calculate the independent association of expected covariates. Results Mean follow-up time was 8 years. Of the 1682 patients alive at discharge, 141 (8%) were readmitted. The main causes of readmission were respiratory decompensation (48%) and cardiac conditions (16%). Compared with the total sample, patients readmitted were older, mostly had vascular (39%) or gastrointestinal (26%) disease, and had significantly higher initial severity of illness (P = .003, .007) and significantly more comorbid conditions (P = .005). For all surgical classifications except general surgery, readmission was independently associated with type of admission and need for mechanical ventilation. Long-term mortality was higher among patients who were readmitted than among the total sample. Nevertheless, quality-of-life scores were the same for patients who were readmitted and patients who were not. Conclusion The adverse effect of readmission to the intensive care unit on survival appears to be long-lasting, and predictors of readmission are scarce.


2015 ◽  
Vol 4 (2) ◽  
pp. 117-124
Author(s):  
Ali Kutlucan ◽  
Murat Erdoğan ◽  
Leyla Kutlucan ◽  
Handan Ankaralı ◽  
Fatih Ermiş ◽  
...  

JAMA ◽  
2017 ◽  
Vol 318 (15) ◽  
pp. 1450 ◽  
Author(s):  
Bertrand Guidet ◽  
Guillaume Leblanc ◽  
Tabassome Simon ◽  
Maguy Woimant ◽  
Jean-Pierre Quenot ◽  
...  

2002 ◽  
Vol 30 (3) ◽  
pp. 501-507 ◽  
Author(s):  
Sean P. Keenan ◽  
Peter Dodek ◽  
Keith Chan ◽  
Robert S. Hogg ◽  
Kevin J.P. Craib ◽  
...  

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