Faculty Opinions recommendation of The relationship between neurological disease and bullous pemphigoid: a population-based case-control study.

Author(s):  
Dedee Murrell ◽  
Lizbeth Ruth Intong
1995 ◽  
Vol 6 (6) ◽  
pp. 507-512 ◽  
Author(s):  
Kangmin Zhu ◽  
Robert S. Levine ◽  
Edward A. Brann ◽  
Douglas R. Gnepp ◽  
Marianna K. Baum

2013 ◽  
Vol 177 (8) ◽  
pp. 755-767 ◽  
Author(s):  
Carol J. R. Hogue ◽  
Corette B. Parker ◽  
Marian Willinger ◽  
Jeff R. Temple ◽  
Carla M. Bann ◽  
...  

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
S Malyutina ◽  
O Chervova ◽  
T Tillmann ◽  
V Maximov ◽  
A Ryabikov ◽  
...  

Abstract Background The measure of “epigenetic age” (EA) derived from DNA methylation (DNAm) is considered as biomarker of ageing. Objective We investigated the relationship between EA and Myocardial Infarction (MI) /Acute coronary syndrome (ACS) in a nested case-control study of the elderly population. Methods A random population sample was examined at baseline (2003/05, n=9360, age 45–69, the Russian arm of the HAPIEE Project), re-examined in 2006/08, 2015/17, and followed up for an average 15 years for fatal and non-fatal events. Using a nested case-control study design, we selected participants with incident MI/ACS (cases) and age-and sex-stratified controls among those free from baseline CVD. We performed DNAm profiling of the whole blood samples (using Illumina EPIC arrays) collected at baseline. After quality control, 135 cases and 185 controls were included in the analysis. Baseline EA was calculated using Horvath, Hannum, PhenoAge and Skin and Blood DNAm clocks; the differences between EA and chronological age (CA) were denoted as DAHr, DAHn, DAPh, DASB, respectively. Results DNAm ages calculated with Horvath's, Hannum's and Skin and Blood clocks were close to the CA; the corresponding median absolute differences (MAD) were 3.38, 3.64 and 2.79 years, and mean (SD) −0.85 (5.37), 1.96 (5.18) and 2.10 (3.94) for DAHr, DAHn and DASB respectively. As expected, PhenoAge's predictions were less precise with MAD=9.41 and DAPh mean (SD) 8.94 (6.38). The mean DAHr and DAHn were significantly higher in MI/ACS compared to controls (0.99 (5.38) vs. −1.55 (5.27), p=0.007, and 2.89 (6.37) vs. 1.28 (4.95), p=0.006 correspondingly), DASB was borderline higher in MI/ACS vs controls and DAPh was similar in cases and controls. After controlling for sex, the risk of MI/ACS was higher in DAHr terciles 2 and 3 vs. tercile 1 (OR=1.08 [95% CI 0.61–1.89], p=0.799 and OR=2.09 [1.19–3.66], p=0.010); the association was independent of smoking but it was largely explained (or mediated) by metabolic factors (blood pressure, body mass index, total and LDL-cholesterol). Similarly, the risk of MI/ACS was increased in terciles 2 and 3 of DAHn; compared with lowest tercile, the OR were 1.52 [0.86–2.71], p=0.152 and 2.41 [1.34–4.34], p=0.003), respectively; again, the association was largely explained by metabolic factors. There was no association found between baseline DAPh or DASB and the risk of MI/ACS. Conclusion In this case-control study nested in a prospective population-based cohort, we found an association between acceleration of epigenetic age and increased risk of MI/ACS independent of sex and smoking. The risk of MI/ACS was about 2-fold higher in the top tercile of difference between epigenetic and chronological age. The excess risk is appeared to be modulated by metabolic factors. FUNDunding Acknowledgement Type of funding sources: Foundation. Main funding source(s): Russian Science Foundation; Russian Academy of Sciences, Sate Assignment


2021 ◽  
Author(s):  
Hüseyin Küçükali ◽  
Osman Hayran ◽  
Şeyda İleri ◽  
Berkay Kurt ◽  
Fatmanur Kuru ◽  
...  

Abstract Most of the studies investigating the relationship between socioeconomic status and the occurrence of COVID-19 have limitations due to their ecological design. To investigate the relationship between socioeconomic status and individual-level risk of developing COVID-19, we conducted a population-based, age and gender matched, case-control study in a district of Istanbul. The case group was defined as all confirmed COVID-19 cases (n=232) in the district in a week of August 2020. The control group was matched with cases in terms of age and gender and selected randomly from the directory of the same primary care provider in the district in a 1:1 ratio. The socioeconomic status was measured by the Turkish Socioeconomic Status Index which considers its three dimensions: education, occupation, and income. 168 cases (72.4% response) and 168 controls are included in the study. The mean socioeconomic status score is 70.28±7.09 for cases and 69.25±7.46 for controls (p=0.201). 15.2% (n=25) of cases and 22.4% (n=37) of controls is in lower socioeconomic status group (p=0.091). The analysis did not reveal a statistically significant difference between study groups. Socioeconomic status may not a significant predictor of COVID-19 occurrence at the individual-level. The disease seems to be a common threat to all individuals.


2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Dahai Yu ◽  
Zhanzheng Zhao ◽  
David Simmons

Objective. To explore the relationship between mean arterial pressure (MAP), HbA1c, and cardiovascular (CV) hospitalisation risk in type 2 diabetes.Design. Population-based case-control study.Settings. Primary and secondary care level in Cambridgeshire, United Kingdom.Participants. 588 patients with type 2 diabetes from 18 English general practices recording a CV hospitalisation in 2009–2011 were included. Risk-set sampling was used to select 2920 gender, age, and practice matched control type 2 diabetes patients.Main Outcome Measure. Conditional logistic regression was used to explore further dose-response relationships between MAP, HbA1c, and CV hospitalisation risk.Results. The relationship between MAP and CV hospitalisation was nonlinear (P<0.001for linearity test). The MAP associated with the lowest CV hospitalisation risk was 97 (95% CI: 93–101) mmHg. An interaction between MAP and HbA1c for increased risk of cardiovascular hospitalisation was observed among those with HbA1c < 7% (53 mmol/mol) and MAP < 97 mmHg.Conclusions. In type 2 diabetes, MAP is a good predictor of CV hospitalisation risk. CV hospitalisation is lowest with a MAP between 93 and 101 mmHg. CV hospitalisation was particularly high among those with both a low MAP and a lower HbA1c.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yi-Ju Chen ◽  
Chao-Kuei Juan ◽  
Yun-Ting Chang ◽  
Chun-Ying Wu ◽  
Hsiu J. Ho ◽  
...  

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