Risk prediction score and appendicectomy in the elderly: A single centre 5‐year retrospective cohort study

2021 ◽  
Author(s):  
Nicholas Farkas ◽  
Holly Harris ◽  
Michael Conroy ◽  
Ross Kenny ◽  
Benjamin Bickford ◽  
...  
2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Da Young Lee ◽  
Kyungdo Han ◽  
Sanghyun Park ◽  
Ji Hee Yu ◽  
Ji A. Seo ◽  
...  

Abstract Background Previous research regarding long-term glucose variability over several years which is an emerging indicator of glycemic control in diabetes showed several limitations. We investigated whether variability in long-term fasting plasma glucose (FG) can predict the development of stroke, myocardial infarction (MI), and all-cause mortality in patients with diabetes. Methods This is a retrospective cohort study using the data provided by the Korean National Health Insurance Corporation. A total of 624,237 Koreans ≥ 20 years old with diabetes who had undergone health examinations at least twice from 2005 to 2008 and simultaneously more than once from 2009 to 2010 (baseline) without previous histories of stroke or MI. As a parameter of variability of FG, variability independent of mean (VIM) was calculated using FG levels measured at least three times during the 5 years until the baseline. Study endpoints were incident stroke, MI, and all-cause mortality through December 31, 2017. Results During follow-up, 25,038 cases of stroke, 15,832 cases of MI, and 44,716 deaths were identified. As the quartile of FG VIM increased, the risk of clinical outcomes serially increased after adjustment for confounding factors including duration and medications of diabetes and the mean FG. Adjusted hazard ratios (95% confidence intervals) of FG VIM quartile 4 compared with quartile 1 were 1.20 (1.16–1.24), 1.20 (1.15–1.25), and 1.32 (1.29–1.36) for stroke, MI and all-cause mortality, respectively. The impact of FG variability was higher in the elderly and those with a longer duration of diabetes and lower FG levels. Conclusions In diabetes, long-term glucose variability showed a dose–response relationship with the risk of stroke, MI, and all-cause mortality in this nationwide observational study.


2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e16046-e16046
Author(s):  
Ankit Rohit Rao ◽  
Stephen Kihara ◽  
Paul Hutton ◽  
Michael H. Cullen ◽  
Emilio Porfiri

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