scholarly journals Degree of impaired kidney function at hospital discharge has a major impact on long-term survival of critically ill patients recovered from renal failure

Critical Care ◽  
2012 ◽  
Vol 16 (S1) ◽  
Author(s):  
S Stads ◽  
G Fortrie ◽  
J Van Bommel ◽  
R Zietse ◽  
M Betjes
Keyword(s):  
Renal Failure ◽  
Hospital Discharge ◽  
Critically Ill ◽  
Kidney Function ◽  
Critically Ill Patients ◽  
Term Survival ◽  
Long Term Survival

Protein C levels can be forecasted by global haemostatic tests in critically ill patients and predict long-term survival

2005 ◽  
Vol 116 (1) ◽  
pp. 15-24 ◽  
Author(s):  
Gunnar Nilsson ◽  
Jan Astermark ◽  
Stefan Lethagen ◽  
Einar Vernersson ◽  
Erik Berntorp
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Protein C ◽  
Term Survival ◽  
Long Term Survival

Long-Term Survival, Quality of Life, and Quality-Adjusted Survival in Critically Ill Patients With Cancer*

2016 ◽  
Vol 44 (7) ◽  
pp. 1327-1337 ◽  
Author(s):  
Karina Normilio-Silva ◽  
Adelaide Cristina de Figueiredo ◽  
Antonio Carlos Pedroso-de-Lima ◽  
Gisela Tunes-da-Silva ◽  
Adriana Nunes da Silva ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Term Survival ◽  
Long Term Survival ◽  
Patients With Cancer

scholarly journals Sex Differences in Short- and Long-Term Survival Among Critically Ill Patients with Sepsis

2021 ◽  
Vol Volume 14 ◽  
pp. 613-622
Author(s):  
Shan Lin ◽  
Wanmei He ◽  
Zixuan Hu ◽  
Lihong Bai ◽  
Mian Zeng
Keyword(s):  
Sex Differences ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Term Survival ◽  
Long Term Survival ◽  
Short And Long Term

scholarly journals Sex differences in short-and long-term survival among critically ill patients with sepsis: a real-world study using propensity scoring methods

2020 ◽  
Author(s):  
Shan Lin ◽  
Shanhui Ge ◽  
Wanmei He ◽  
Lihong Bai ◽  
Mian Zeng
Keyword(s):  
Sex Differences ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Mortality Rates ◽  
Term Survival ◽  
Long Term Survival ◽  
Female Patients ◽  
Short And Long Term ◽  
Male Patients

Abstract Background At present, there have been studies showing a correlation between sex differences and prognosis. Nevertheless, the evidence of short- and long-term survival of sex-based differences among critically ill patients with sepsis is still limited and controversial. The purpose of this study was to evaluate the effect of sex on the short- and long-term survival of critically ill patients with sepsis. Methods We used the Medical Information Mart for Intensive Care III database. Cox proportional hazards models were conducted to determine the relationship of 28-day and 1-year mortality rates with a different sex. Interaction and stratified analyses were conducted to test whether the effect of sex differed across various subgroups. Results A total of 12,321 patients were enrolled in this study. After adjustments, the 28-day and 1-year mortality rates for female patients were reduced by 12% and 10%, respectively (HR = 0.88, 95% CI 0.81–0.96 and HR = 0.90, 95% CI 0.85–0.95) when compared to male patients. The effects of the association between sex and 28-day and 1-year mortality were broadly consistent for all subgroup variables. Only a significant interaction of age was observed in 1-year mortality (P = 0.0091). Compared with male patients, female patients (< 50 years) had better long-term survival advantages (HR 0.76 95% CI 0.62–0.94, P = 0.0124); on the contrary, for older patients (≥ 50 years), we did not find sex-based differences in long-term survival (HR 1.03, 95% CI 0.97–1.09, P = 0.3678). Conclusions In the current retrospective large database review, female patients had a significantly lower 28-day and 1-year mortality rates than did males among critically ill patients with sepsis. Of concern, there was an interaction between age and sex, and whether to suggest that female-associated hormones affect clinical outcomes needs to be further researched.

scholarly journals Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients

2019 ◽  
Vol 25 ◽  
pp. 107602961987602
Author(s):  
Cuizhu Luo ◽  
Bingjie Zhuang ◽  
Zhongqing Chen
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Cox Regression ◽  
Maximum Amplitude ◽  
Curve Analysis ◽  
Term Survival ◽  
Survival Estimate ◽  
Long Term Survival ◽  
Kaplan Meier

Thromboelastography (TEG) is used for monitoring abnormal blood coagulation in critically ill patients. However, the correlation between TEG parameters and long-term survival in these patients is unknown. We aimed to quantify the effect of TEG on long-term survival of critically ill patients. Critically ill patients undergoing TEG were retrospectively examined. Baseline patient characteristics and coagulation function indexes were compared. Cox regression, receiver–operating characteristic curve analysis, and Kaplan-Meier survival estimate curve were performed. We included 167 critically ill patients. Clot formation speed (K) and reaction time (R) were higher, whereas maximum amplitude (MA) and angle were lower in the mortality group than in the survival group ( P < .01). All TEG parameters were risk factors for 2-year survival in critically ill patients ( P < .01). The area under the curve of MA for predicting 2-year survival was 0.756 (95% confidence interval: 0.670-0.841). The Kaplan-Meier survival estimate curve analysis showed that MA predicted 2-year survival of critically ill patients( P < .01). Maximum amplitude can effectively predict 2-year survival of critically ill patients, indicating the influence of the coagulation system on these patients.

scholarly journals Development and validation of nomogram to predict long-term prognosis of critically ill patients with acute myocardial infarction

2020 ◽  
Author(s):  
yiyang tang ◽  
lihuang zha ◽  
xiaofang zeng ◽  
yilu feng ◽  
wenchao lin ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Discriminative Ability ◽  
Term Survival ◽  
Long Term Survival

Background: Acute myocardial infarction (AMI) is a common critical illness in the cardiovascular field, with poor prognosis. This study aimed to construct a nomogram to predict long-term survival of critically ill patients with AMI, which helps to assess severity, guide treatment, and improve prognosis. Methods and results: The clinical data of patients with AMI was extracted from the database MIMIC-III v1.4. The Cox proportional hazards models were performed to identify the independently prognostic factors, and a nomogram for predicting long-term survival of AMI patients was developed based on the multifactor analysis, of which discriminative ability and accuracy was evaluated by concordance index (C-index) and calibration curve. Results: A total of 1202 patients were included in the analysis, of which 841 were divided into the training set and 361 were the validation. Multivariate analysis shown that age, blood urea nitrogen, respiratory rate, SAPSII score, cardiogenic shock, cardiac arrhythmias, and respiratory failure served as the independently predictive factors, which were incorporated into the nomogram. Moreover, the nomogram shown favorable performance for predicting 4-year survival of AMI patients with the C- index of 0.788 [95% confidence interval (CI): 0.763 to 0.813] and 0.783 (95% CI: 0.748 to 0.818) in the training and validation set, respectively. Conclusion: The nomogram we constructed here can accurately predict the long-term survival of patients with AMI.

scholarly journals The predictive value of early acute kidney injury for long-term survival and quality of life of critically ill patients

Critical Care ◽  
2016 ◽  
Vol 20 (1) ◽  
Author(s):  
Ivo W. Soliman ◽  
Jos F. Frencken ◽  
Linda M. Peelen ◽  
Arjen J. C. Slooter ◽  
Olaf L. Cremer ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Acute Kidney Injury ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Predictive Value ◽  
Kidney Injury ◽  
Term Survival ◽  
Long Term Survival
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