scholarly journals Effect of Sedatives on In-hospital and Long-term Mortality of Critically Ill Patients Requiring Extended Mechanical Ventilation for ≥ 48 Hours

2021 ◽  
Vol 36 (34) ◽  
Author(s):  
Hannah Lee ◽  
Seongmi Choi ◽  
Eun Jin Jang ◽  
Juhee Lee ◽  
Dalho Kim ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Long Term Mortality

Prognostic Factors for Long-Term Mortality in Critically Ill Patients Treated With Prolonged Mechanical Ventilation

2017 ◽  
Vol 45 (1) ◽  
pp. 69-74 ◽  
Author(s):  
Matthew R. Dettmer ◽  
Emily Damuth ◽  
Samson Zarbiv ◽  
Jessica A. Mitchell ◽  
Jason L. Bartock ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Prognostic Factors ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Prolonged Mechanical Ventilation ◽  
Long Term Mortality

scholarly journals Cystatin C predicts long term mortality better than creatinine in a nationwide study of intensive care patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Johanna Helmersson-Karlqvist ◽  
Miklos Lipcsey ◽  
Johan Ärnlöv ◽  
Max Bell ◽  
Bo Ravn ◽  
...  
Keyword(s):  
Intensive Care ◽  
Critically Ill ◽  
Risk Prediction ◽  
Cystatin C ◽  
Mortality Risk ◽  
Critically Ill Patients ◽  
Cox Regression ◽  
Sample Tube ◽  
Long Term Mortality

AbstractDecreased glomerular filtration rate (GFR) is linked to poor survival. The predictive value of creatinine estimated GFR (eGFR) and cystatin C eGFR in critically ill patients may differ substantially, but has been less studied. This study compares long-term mortality risk prediction by eGFR using a creatinine equation (CKD-EPI), a cystatin C equation (CAPA) and a combined creatinine/cystatin C equation (CKD-EPI), in 22,488 patients treated in intensive care at three University Hospitals in Sweden, between 2004 and 2015. Patients were analysed for both creatinine and cystatin C on the same blood sample tube at admission, using accredited laboratory methods. During follow-up (median 5.1 years) 8401 (37%) patients died. Reduced eGFR was significantly associated with death by all eGFR-equations in Cox regression models. However, patients reclassified to a lower GFR-category by using the cystatin C-based equation, as compared to the creatinine-based equation, had significantly higher mortality risk compared to the referent patients not reclassified. The cystatin C equation increased C-statistics for death prediction (p < 0.001 vs. creatinine, p = 0.013 vs. combined equation). In conclusion, this data favours the sole cystatin C equation rather than the creatinine or combined equations when estimating GFR for risk prediction purposes in critically ill patients.

scholarly journals Anemia Is a Risk Factor for Acute Kidney Injury and Long-Term Mortality in Critically Ill Patients

2015 ◽  
Vol 237 (4) ◽  
pp. 287-295 ◽  
Author(s):  
Seung Seok Han ◽  
Seon Ha Baek ◽  
Shin Young Ahn ◽  
Ho Jun Chin ◽  
Ki Young Na ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Risk Factor ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Long Term Mortality

Age still matters: Prognosticating short- and long-term mortality for critically ill patients with pneumonia

2010 ◽  
Vol 38 (11) ◽  
pp. 2126-2132 ◽  
Author(s):  
Wendy I. Sligl ◽  
Dean T. Eurich ◽  
Thomas J. Marrie ◽  
Sumit R. Majumdar
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Short And Long Term ◽  
Long Term Mortality

scholarly journals The association between culture positivity and long-term mortality in critically ill surgical patients

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Yu-Cheng Wu ◽  
Li-Ting Wong ◽  
Chieh-Liang Wu ◽  
Wen-Cheng Chao
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Positive Culture ◽  
Surgical Patients ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Culture Positivity ◽  
Critically Ill Surgical Patients ◽  
Long Term Mortality

Abstract Background The long-term outcome is an essential issue in critically ill patients, and the identification of early determinant is needed for risk stratification of the long-term outcome. In the present study, we investigate the association between culture positivity during admission and long-term outcome in critically ill surgical patients. Methods We linked the 2015–2019 critical care database at Taichung Veterans General Hospital with the nationwide death registration files in Taiwan. We described the long-term mortality and proportion of culture positivity among enrolled subjects. We used a log-rank test to estimate survival curves between patients with and without positive cultures and a multivariable Cox proportional hazards regression model to determine hazard ratio (HR) and 95% confidence interval (CI). Results A total of 6748 critically ill patients were enrolled, and 32.5% (2196/6749) of them died during the follow-up period, with the overall follow-up duration was 1.8 ± 1.4 years. We found that 31.4% (2122/6748) of critically ill patients had at least one positive culture during the index admission, and the number of patients with positive culture in the blood, respiratory tract, urinary tract, skin and soft tissue and abdomen were 417, 1702, 554, 194 and 139, respectively. We found that a positive culture from any sites was independently associated with high long-term mortality (aHR 1.579, 95% CI 1.422–1.754) after adjusting relevant covariates, including age, sex, body-mass index, comorbidities, severity score, shock, early fluid overload, receiving mechanical ventilation and the need of renal replacement therapy for critical illness. Conclusions We linked two databases to identify that a positive culture during admission was independently correlated with increased long-term mortality in critically ill surgical patients. Our findings highlight the need for vigilance among patients with a positive culture during admission, and more studies are warranted to validate our findings and to clarify underlying mechanisms.

Long-term Outcomes of Critically Ill Patients With Stroke Requiring Mechanical Ventilation

2019 ◽  
Vol 28 (6) ◽  
pp. 477-480 ◽  
Author(s):  
Perrine Bouvet ◽  
Martin Murgier ◽  
Bertrand Pons ◽  
Michael Darmon
Keyword(s):  
Mechanical Ventilation ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Long Term Outcomes
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