survival outcome
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2022 ◽  
Vol 13 ◽  
Author(s):  
Faqiang Zhang ◽  
Yulong Ma ◽  
Yao Yu ◽  
Miao Sun ◽  
Hao Li ◽  
...  

Objective: Diabetes mellitus (DM) has been critically associated with unfavorable outcomes in the general population. We aimed to investigate the association between type 2 DM and long-term survival outcomes for postoperative ischemic stroke in patients who underwent non-cardiac surgery.Research Design and Methods: This was a retrospective cohort study of patients with non-cardiac surgery who had suffered from postoperative ischemic stroke between January 2008 and August 2019. Diabetic individuals were included in postoperative ischemic stroke patients with the DM group. The outcome of interest was long-term overall survival (OS). We conducted propensity score matching (PSM) and inverse probability treatment weighting (IPTW) to adjust for baseline characteristic differences between groups. Multivariate Cox regression analysis with stepwise selection was used to calculate the adjusted hazard ratio (HR) of OS and type 2 DM.Results: During a median follow-up of 46.2 month [interquartile range (IQR), 21.1, 84.2], 200 of 408 patients (49.0%) died. The OS rates at 3, 5, and 10 years were significantly lower for postoperative ischemic stroke patients with DM than those without DM (3 years OS: 52.2 vs. 69.5%, p < 0.001; 5 years OS: 41.6 vs. 62.4%, p < 0.001; 10 years OS: 37.2 vs. 56.6%, p < 0.001). All covariates were between-group balanced after using PSM or IPTW. The postoperative ischemic stroke patients with type 2 DM had a shortened OS in primary analysis (HR: 1.947; 95% CI: 1.397–2.713; p < 0.001), PSM analysis (HR: 2.190; 95% CI: 1.354–3.540; p = 0.001), and IPTW analysis (HR: 2.551; 95% CI: 1.769–3.679; p < 0.001).Conclusion: Type 2 DM was associated with an unfavorable survival outcome for postoperative ischemic stroke in patients who underwent non-cardiac surgery. When postoperative ischemic stroke co-occurred with type 2 DM, the potential synergies would have multiplicative mortality risk. Further research to assess the adverse effects of type 2 DM on long-term survival may be warranted.


2022 ◽  
Vol 2 (1) ◽  
pp. 71-77
Author(s):  
ALI ABBASZADEH KASBI ◽  
MOHAMMED ALI ASHARY ◽  
MIZBA BAKSH ◽  
SAMUEL NUSSBAUM ◽  
KRISTOPHER ATTWOOD ◽  
...  

Background/Aim: Pancreatic cancer has a very poor prognosis, though outcomes based on age are not well characterized. The aim of current study was to analyze the survival of patients with pancreatic cancer based on age. Patients and Methods: Using National Cancer Data Base (NCDB), we determined survival outcome based on age among patients with pancreatic cancer. Results: A total of 423,482 patients between 2004 and 2017 were included in the study. Patients aged between 18 and 40-years-old had the worst 3-year survival rate among stage 1 disease. Conversely, patients over 65-years-old had the worst 3-year survival rate and presented with more advanced disease (clinical stages 3 and 4). Conclusion: Older patients with more advanced disease had worse survival.


2022 ◽  
Vol 22 (1) ◽  
pp. 1
Author(s):  
Abdulhameed Osi ◽  
Mannir Abdu ◽  
Hussaini Dikko ◽  
Usman Muhammad ◽  
Auwalu Ibrahim ◽  
...  

2021 ◽  
Vol 9 (6) ◽  
pp. 568-585
Author(s):  
Shuai-Shuai Gao ◽  
Guo-Xun Zhang ◽  
Wen-Ting Zhang

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shan Chen ◽  
Jiamin Gu ◽  
Qinfen Zhang ◽  
Yan Hu ◽  
Yu Ge

Purpose. To generate a signature based on anoikis-related genes (ARGs) for endometrial carcinoma (EC) patients and elucidate the molecular mechanisms in EC. Methods. On the basis of TCGA-UCEC dataset, we identified specific anoikis-related genes (ARGs) in EC. Cox-relative regression methods were used to generate an anoikis-related signature (ARS). The possible biological pathways of ARS-related genes were analyzed by GSEA. The clinical potency and immune status of ARS were analyzed by CIBERSORT method, ssGSEA algorithm, Tumor Immune Dysfunction and Exclusion (TIDE) analysis. Moreover, the expression patterns of ARS genes were verified by HPA database. Results. Seven anoikis genes (CDKN2A, E2F1, ENDOG, EZH2, HMGA1, PLK1, and SLC2A1) were determined to develop a prognostic ARS. Both genes of ARS were closely bound up with the prognosis of EC patients. The ARS could accurately classify EC cases with different clinical outcome and mirror the specific immune status of EC. We observed that ARS-high patients could not benefit from immunotherapy. Finally, all the hub genes of ARS were proved to be upregulated in EC tissues by immunohistology. Conclusion. ARS can be used to stratify the risk and forecast the survival outcome of EC patients and provide prominent reference for individualized treatment in EC.


2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Jeong Hun Lee ◽  
Yong Won Kim ◽  
Tae Youn Kim ◽  
Sanghun Lee ◽  
Han Ho Do ◽  
...  

Objective. Identification of the prehospital factors associated with a poor prognosis of immediate traumatic arrest should help reduce unwarranted treatment. We aim to reveal the clinical factors related to death after traumatic arrest on the scene. Methods. We performed a multicenter (4 tertiary hospitals in urban areas of South Korea) retrospective study on consecutive adult patients with trauma arrest on scene who were transferred by fire ambulance from January 2016 to December 2018. Patients with death on arrival in the emergency room (ER) were excluded. Prehospital data were collected from first aid records, and information on each patient’s survival outcome in the ER was collected from an electronic database. Patients were divided into ER death and ER survival groups, and variables associated with prehospital trauma were compared. Results. A total of 145 (84.3%) and 27 (15.7%) patients were enrolled in the ER death and survival groups, respectively. Logistic regression analysis revealed that asystole (OR 4.033, 95% CI 1.342–12.115, p = 0.013) was related to ER death and that ROSC in the prehospital phase (OR 0.100, 95% CI 0.012–0.839, p = 0.034) was inversely related to ER death. In subgroup analysis of those who suffered fall injuries, greater height of fall was associated with ER death (15.0 (5.5–25.0) vs. 4.0 (2.0–7.5) meters, p = 0.001); the optimal height cutoff for prediction of ER death was 10 meters, with 66.1% sensitivity and 100% specificity. Conclusions. In cases of traumatic arrest, asystole, no prehospital ROSC, and falls from a greater height were associated with trauma death in the ER. Termination of resuscitation in traumatic arrest cases should be done on the basis of comprehensive clinical factors.


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