Inotropes and vasopressors are associated with increased short-term mortality but not long-term survival in critically ill patients

2021 ◽  
pp. 101012
Author(s):  
Justina Motiejunaite ◽  
Benjamin Deniau ◽  
Alice Blet ◽  
Etienne Gayat ◽  
Alexandre Mebazaa
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Short Term ◽  
Term Survival ◽  
Long Term Survival ◽  
Short Term Mortality

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

scholarly journals Colonization with Extensively Drug-Resistant Acinetobacter Baumannii and Prognosis in Critically Ill Patients: An Observational Cohort Study

2021 ◽  
Author(s):  
Yue Zheng ◽  
Nana Xu ◽  
Jiaojiao Pang ◽  
Hui Han ◽  
Hongna Yang ◽  
...  
Keyword(s):  
Regression Model ◽  
Acinetobacter Baumannii ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Drug Resistant ◽  
Short Term ◽  
Term Survival ◽  
Extensively Drug Resistant ◽  
Kaplan Meier

Abstract Background: Acinetobacter baumannii is one of the most often isolated opportunistic pathogens in intensive care units (ICUs). Extensively drug-resistant A. baumannii (XDR-AB) strains lack susceptibility to almost all antibiotics and pose a heavy burden on healthcare institutions. In this study, we evaluated the impact of XDR-AB colonization on both the short-term and long-term survival of critically ill patients.Methods: We prospectively enrolled patients from two adult ICUs in Qilu Hospital of Shandong University from April 2018 through December 2018. Using nasopharyngeal and perirectal swabs, we evaluated the presence of XDR-AB colonization. Participants were followed up for six months. Primary endpoints were 28-day and six-month mortality after ICU admission. For survival analysis, we used the Kaplan-Meier curve. We identified risk factors associated with 28-day and six-month mortality using the logistic regression model and Cox proportional-hazards survival regression model, respectively. Results: Out of 431 patients, 77 were colonized with XDR-AB. Based on the Kaplan-Meier curve results, the survival before 28 days did not differ by colonization status; however, a significant lower survival rate was obtained at six months in colonized patients. Univariate and multivariate results confirmed that XDR-AB colonization was not associated with 28-day mortality, but was an independent risk factor of lower survival days at six months, resulting in a 1.97 times higher risk of death at six months.Conclusions: XDR-AB colonization has no effect on short-term mortality but is associated with lower long-term survival in critically ill patients.

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 Predicting Short-Term Mortality and Long-Term Survival for Hospitalized US Patients with Alcoholic Hepatitis

2014 ◽  
Vol 59 (7) ◽  
pp. 1594-1602 ◽  
Author(s):  
Jennifer A. Cuthbert ◽  
Sami Arslanlar ◽  
Jay Yepuri ◽  
Marc Montrose ◽  
Chul W. Ahn ◽  
...  
Keyword(s):  
Alcoholic Hepatitis ◽  
Short Term ◽  
Term Survival ◽  
Long Term Survival ◽  
Short Term Mortality

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 P-OGC10 Long-term survival is not affected by complications after oesophagectomy

2021 ◽  
Vol 108 (Supplement_9) ◽  
Author(s):  
Edward J Nevins ◽  
Jakub Chmelo ◽  
Joshua Brown ◽  
Pooja Prasad ◽  
Alexander W Phillips
Keyword(s):  
Survival Rates ◽  
Short Term ◽  
Term Survival ◽  
Long Term Survival ◽  
Kaplan Meier ◽  
Operative Complications ◽  
Short Term Mortality ◽  
Index Hospital ◽  
Post Operative Complications

Abstract Background Outcomes following oesophagectomy for oesophageal cancer continue to improve, but complications are common and can result in significant morbidity. Post-operative complications are known to impact upon peri-operative and short-term survival but the effect on long-term survival remains unclear. The aim of this study is to investigate the effect of post-operative complications on long-term survival following oesophagectomy. Methods A contemporaneously maintained database from a single centre was reviewed. All patients who underwent oesophagectomy between January 2010 and January 2019 were included. Patients were separated into three groups, those who experienced no or very minor complications (Clavien-Dindo 0 or 1), minor complications (Clavien-Dindo 2), and major complications (Clavien-Dindo 3-4). Those who died during the index hospital admission were excluded to correct for short-term mortality effects. Overall survival was analysed using Kaplan-Meier and log rank testing. Results Seven hundred and twenty-three patients underwent oesophagectomy during this time. Seventeen (2.4%) died during their index hospital stay, and were excluded from the survival analysis. The 30- and 90- day mortality was 1.1% (8/723) and 2.4% (17/723) respectively. There were 43.2% (305/706), 30.2% (213/706) and 26.6% (188/706) in the Clavien-Dindo 0-1, Clavien-Dindo 2, and Clavien-Dindo 3-4 group respectively. Median survival across the three groups was equivalent (50, 57 and 51 months). Across all three groups, overall long-term survival rates were equivalent at 1 (87.5%, 84.9%, 83.5%), 5 (44.2%, 48.9%, 44.7%) and 10 years (36.7%, 36.0%, 36.7%) (p = 0.730). Conclusions Long term survival is not affected by complications, irrespective of severity, following oesophagectomy.

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.

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