scholarly journals Predicting Silent Atrial Fibrillation in the Elderly: A Report from the NOMED-AF Cross-Sectional Study

2021 ◽  
Vol 10 (11) ◽  
pp. 2321
Author(s):  
Katarzyna Mitrega ◽  
Gregory Y. H. Lip ◽  
Beata Sredniawa ◽  
Adam Sokal ◽  
Witold Streb ◽  
...  

Background: Silent atrial fibrillation (SAF) is common and is associated with poor outcomes. Aims: to study the risk factors for AF and SAF in the elderly (≥65 years) general population and to develop a risk stratification model for predicting SAF. Methods: Continuous ECG monitoring was performed for up to 30 days using a vest-based system in a cohort from NOMED-AF, a cross-sectional study based on a nationwide population sample. The independent risk factors for AF and SAF were determined using multiple logistic regression. ROC analysis was applied to validate the developed risk stratification score. Results: From the total cohort of 3014 subjects, AF was diagnosed in 680 individuals (mean age, 77.5 ± 7.9; 50.1% men) with AF, and, of these, 41% had SAF. Independent associations with an increased risk of AF were age, male gender, coronary heart disease, thyroid diseases, prior ischemic stroke or transient ischemic attack (ICS/TIA), diabetes, heart failure, chronic kidney disease (CKD), obesity, and NT-proBNP >125 ng/mL. The risk factors for SAF were age, male gender, ICS/TIA, diabetes, heart failure, CKD, and NT-proBNP >125 ng/mL. We developed a clinical risk scale (MR-DASH score) that achieved a good level of prediction in the derivation cohort (AUC 0.726) and the validation cohort (AUC 0.730). Conclusions: SAF is associated with various clinical risk factors in a population sample of individuals ≥65 years. Stratifying individuals from the general population according to their risk for SAF may be possible using the MR-DASH score, facilitating targeted screening programs of individuals with a high risk of SAF.

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
K Mitrega ◽  
G Y H Lip ◽  
B Sredniawa ◽  
A Sokal ◽  
W Streb ◽  
...  

Abstract Background Asymptomatic (“silent”) atrial fibrillation is common and associated with poor outcomes. It is important to determine the risk factors that predispose elderly individuals from the general population to atrial fibrillation (AF). However, population-based data for silent AF (SAF) are limited. Design First, to study the risk factors for symptomatic AF and SAF in an elderly (≥65 years) general population. Second, to develop a risk stratification model for predicting SAF. Methods Continuous ECG monitoring was performed for up to 30 days using a vest-based system in a cohort from NOMED-AF, a cross-sectional study based on a nationwide population sample. The independent risk factors for AF and SAF were determined using multiple logistic regression. ROC analysis was applied to validate developed risk stratification score. Results From the total cohort of 3014 subjects, AF was diagnosed in 680 individuals (mean age, 77.5±7.9; 50.1% men) with AF, and of these, 279 (41%) had SAF. Independent associations with an increased risk of AF were age, male gender, coronary heart disease, thyroid diseases, prior ischemic stroke or transient ischemic attack (ICS/TIA), diabetes, heart failure, chronic kidney disease (CKD), obesity (BMI>30) and NT-proBNP >125 ng/ml. Prior revascularization was negatively associated with risk of AF. The main risk factors for SAF were age, male gender, prior ICS/TIA, diabetes, heart failure, CKD and NT-proBNP >125 ng/ml. We developed a simple clinical risk scale (MR-DASH score) which had good prediction in the derivation cohort (AUC 0.726) and the validation cohort (AUC 0.730). Conclusions SAF is associated with various clinical risk factors in a population sample of individuals ≥65 years. Stratifying individuals from the general population according to their risk for SAF may be possible using the MR-DASH score, facilitating targeted screening programs of individuals with high risk of SAF FUNDunding Acknowledgement Type of funding sources: Public Institution(s). Main funding source(s): National Centre for Research and Development


Author(s):  
Prem Kumar Maheshwari ◽  
Hassan Liaquat Memon ◽  
Kapeel Raja ◽  
Shaista Zeb ◽  
Kamran Ahmed Almani

Objective: To determine the frequency of modifiable and non-modifiable risk factors of functional dyspepsia in our population. Materials and Methods: This cross-sectional study has been conducted department of gastroenterology of Isra University Hospital from February 2019 to January 2020. All the patients of all age groups presented with functional dyspepsia and either of gender were included in the study. Patients were interviewed regarding modifiable and nonmodifiable risk factors like age, gender, smoking, body mass index, alcohol consumption and stress. All the data was gathered via study proforma. Results: Total 200 cases of functional dyspepsia were studied for modifiable and non-modifiable risk factors. Mean age of the cases was 49.45+6.33 years. Most of the cases were more than 40 years of the age. Males were 64.5% and females were 40.5%. According to the ethnicity Sindhi and Punjabi were commonest as 40.5% and 35.0% respectively. Inadequate physical activity and smoking habits were highly prevalent as 57.5% and 36.0% respectively. Conclusion: As per study conclusion age more than thirty years, male gender, ethnicity of Sindhi and Punjabi, smoking and inadequate physical activity were observed to be highly prevalent modifiable and non-modifiable risk factor of the functional dyspepsia.


Author(s):  
R. Senthil Kumar ◽  
Kamali Ravindran

Background: Falls are an important cause of morbidity and mortality in elderly people. Falls lead to multiple medical and psychological problems in the elderly. Aim was to study the prevalence of falls among the elderly and to find the associated risk factors for falls among the elderly living in an urban slum in Chennai.Methods: A cross sectional study was conducted among elderly population over 60 years and above, in an urban slum area. About 150 elderly were selected using simple random sampling method, using the voters list as the sampling frame. A pretested questionnaire was administered to collect information about falls. In statistical analysis univariate and multivariate logistic regression was employed using SPSS version 22.Results: Of the 150 elderly persons studied, prevalence of falls rate is 35.3% (95% CI 28.13 to 43.26). Of them 64.1% had one episode of fall and 35.8% had recurrent falls. The prevalence of fall among persons with comorbidities like hypertension or diabetes was 39.3% and 36.1% respectively .The rate of fall among those using a walking stick was 58.3%, having tremors was 15% and having abnormal gait was 40%. The risk factors found to be significantly associated in univariate analysis were gender and presence of tremors (p<0.05). In multivariate analysis none of the factors showed statistical significance.Conclusions: Falls are very common among elderly. It is utmost important to prevent the falls by making necessary environmental modifications and following healthy lifestyle. 


2015 ◽  
Vol 57 (3) ◽  
pp. 285-296 ◽  
Author(s):  
Carole Pélissier ◽  
Michel Vohito ◽  
Emmanuel Fort ◽  
Brigitte Sellier ◽  
Jean Pierre Agard ◽  
...  

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