scholarly journals Risk of serious COVID-19 outcomes among adults with asthma in Scotland: a national incident cohort study

Author(s):  
Ting Shi ◽  
Jiafeng Pan ◽  
Eleftheria Vasileiou ◽  
Chris Robertson ◽  
Aziz Sheikh
Keyword(s):  
2018 ◽  
Vol 47 (suppl_3) ◽  
pp. iii24-iii24
Author(s):  
A D Wood ◽  
J Guillot ◽  
A D Macleod ◽  
C E Counsell ◽  
P K Myint
Keyword(s):  

Rheumatology ◽  
2018 ◽  
Vol 58 (1) ◽  
pp. 144-148 ◽  
Author(s):  
Rachel Charlton ◽  
Amelia Green ◽  
Gavin Shaddick ◽  
Julia Snowball ◽  
Alison Nightingale ◽  
...  

2010 ◽  
Vol 28 (28) ◽  
pp. 4346-4353 ◽  
Author(s):  
Akke Botma ◽  
Fokko M. Nagengast ◽  
Marieke G.M. Braem ◽  
Jan C.M. Hendriks ◽  
Jan H. Kleibeuker ◽  
...  

Purpose High body mass index (BMI) is an established risk factor for sporadic colorectal cancer. Still, the influence of BMI on hereditary colorectal cancer (eg, Lynch syndrome [LS]), is unknown. The objective of this study was to assess whether BMI is associated with colorectal adenoma occurrence in persons with LS. Patients and Methods A prospective cohort study of 486 patients with LS was conducted. Cox regression models with robust sandwich estimates controlling for age, sex, extent of colon surgery, smoking, and alcohol intake were used to evaluate associations between BMI, height, weight, weight change, and risk of colorectal adenomas. Analyses were performed separately for those without (incident cohort; n = 243) and those with (prevalent cohort; n = 243) a history of colorectal cancer neoplasms at baseline. Results A statistically significant association between current overweight (≥ 25 kg/m2) and developing colorectal adenomas was seen among men in the incident cohort (overweight v normal weight hazard ratio [HR], 8.72; 95% CI, 2.06 to 36.96). This association was not observed among women (overweight v normal weight HR, 0.75; 95% CI, 0.19 to 3.07), nor was it observed in the prevalent cohort. In the incident cohort, height was statistically significantly associated with a decreased risk of adenomatous polyps among men (per 5 cm HR, 0.43; 95% CI, 0.23 to 0.83), but the association between weight and adenomatous polyps among men was of marginal significance (per 5 kg HR, 1.17; 95% CI, 1.00 to 1.37). No statistically significant associations were observed among women in either the incident cohort or the prevalent cohort. Conclusion Excess body weight increased the risk of incident colorectal adenomas in people with LS. This increased risk was seen only in men.


2014 ◽  
Vol 23 (3) ◽  
pp. 285-289 ◽  
Author(s):  
Stephanie Dumas ◽  
Etienne Rouleau-Mailloux ◽  
Amina Barhdadi ◽  
Mario Talajic ◽  
Jean-Claude Tardif ◽  
...  

2015 ◽  
Vol 10 (8) ◽  
pp. 1397-1407 ◽  
Author(s):  
Annie-Claire Nadeau-Fredette ◽  
Carmel M. Hawley ◽  
Elaine M. Pascoe ◽  
Christopher T. Chan ◽  
Philip A. Clayton ◽  
...  

Author(s):  
Ting Shi ◽  
Jiafeng Pan ◽  
Srinivasa Vittal Katikireddi ◽  
Colin McCowan ◽  
Steven Kerr ◽  
...  

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
James McVittie ◽  
David Wolfson ◽  
David Stephens ◽  
Vittorio Addona ◽  
David Buckeridge

AbstractA classical problem in survival analysis is to estimate the failure time distribution from right-censored observations obtained from an incident cohort study. Frequently, however, failure time data comprise two independent samples, one from an incident cohort study and the other from a prevalent cohort study with follow-up, which is known to produce length-biased observed failure times. There are drawbacks to each of these two types of study when viewed separately. We address two main questions here: (i) Can our statistical inference be enhanced by combining data from an incident cohort study with data from a prevalent cohort study with follow-up? (ii) What statistical methods are appropriate for these combined data? The theory we develop to address these questions is based on a parametrically defined failure time distribution and is supported by simulations. We apply our methods to estimate the duration of hospital stays.


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