Risk of neuropsychiatric diseases according to the use of a leukotriene receptor antagonist in middle-aged and older adults with asthma: a nationwide population-based study using health claims data in Korea

2021 ◽  
Author(s):  
Ji-Su Shim ◽  
Min-Hye Kim ◽  
Min-Ho Kim ◽  
Young-Joo Cho ◽  
Eun Mi Chun
Keyword(s):  
Older Adults ◽  
Receptor Antagonist ◽  
Claims Data ◽  
Population Based ◽  
Health Claims ◽  
Leukotriene Receptor Antagonist ◽  
Population Based Study ◽  
Neuropsychiatric Diseases ◽  
Health Claims Data ◽  
Leukotriene Receptor

scholarly journals TWELVE-YEAR CLINICAL TRAJECTORIES OF MULTIMORBIDITY IN OLDER ADULTS: A POPULATION-BASED STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S610-S610
Author(s):  
Davide Liborio Vetrano ◽  
Albert Roso-Llorach ◽  
Sergio Fernández ◽  
Concepción Violán ◽  
Graziano Onder ◽  
...  
Keyword(s):  
Older Adults ◽  
Cluster Algorithm ◽  
Population Based ◽  
Sensory Impairment ◽  
Population Based Study ◽  
Disease Clusters ◽  
Disease Patterns ◽  
Neuropsychiatric Diseases ◽  
Study Population ◽  
Over Time

Abstract The scarce knowledge of multimorbidity development hampers the effectiveness of clinical interventions. We aimed to identify multimorbidity clusters, trace their evolution in a cohort of older adults, and detect the clinical trajectories of single individuals as they move among clusters over 12 years. Population-based study including 2931 persons 60+ with ≥2 diseases participating in the SNAC-K study. A fuzzy c-means cluster algorithm was used to group participants by disease patterns at baseline and follow-ups. Migration from one cluster to another was tracked over time, and the association between the clusters and mortality was tested. At baseline 52% of participants were classified into five clinically meaningful disease clusters: psychiatric and respiratory (5%), heart (9%), respiratory and musculoskeletal (16%), cognitive and sensory impairment (10%), and eye diseases and cancer (11%). The remaining 48% of participants (unspecified group) were grouped in any cluster at baseline but greatly contributed to the other clusters at follow-ups. Multimorbidity clusters that included cardiovascular and neuropsychiatric diseases presented a significantly higher mortality risk (odds ratios ranging 1.58–6.00) than the group not part of any clusters. Clusters characterized by cardiovascular and neuropsychiatric diseases included 25% of the study population at baseline and 28% of participants at six years, and they accounted for 51% of deaths at six years and 57% of deaths at twelve years. Multimorbidity clusters and clinical trajectories of older adults with multimorbidity show great dynamism over time. The multimorbidity clusters and trajectories identified in this study may help identifying groups with similar needs and prognosis.

Epidemiologie des Diabetes

2017 ◽  
Vol 12 (06) ◽  
pp. 437-446 ◽  
Author(s):  
Esther Jacobs ◽  
Wolfgang Rathmann
Keyword(s):  
Claims Data ◽  
Population Based ◽  
Health Claims ◽  
Undiagnosed Diabetes ◽  
Current Evidence ◽  
Health Claims Data ◽  
Regional Deprivation ◽  
Regional Population ◽  
Methodological Aspects ◽  
Complications And Mortality

AbstractFor Germany, estimates for diabetes prevalence, incidence, morbidity and mortality are based on different study types, e. g. regional population-based studies, surveys or health claims data, and various methods are used for the calculations. Thus, there are a number of different epidemiological estimates published. This is also true for the prevalence of people with undiagnosed diabetes and prediabetes. In addition, evidence exists that the prevalence of diabetes varies between regions in Germany. In this context, new risk factors, such as regional deprivation and air pollution, are currently in the focus. This article gives a short overview on the current research status in diabetes epidemiology with regard to the situation in Germany. Trends in the development of diabetes, its complications and mortality are also discussed. Based on the current refugee situation, the article contains a short insight of available studies on this topic. The overview on the current evidence is supplemented by methodological aspects that should be taken into account when interpreting studies.

scholarly journals Predictive modeling of nontuberculous mycobacterial pulmonary disease epidemiology using German health claims data

2021 ◽  
Vol 104 ◽  
pp. 398-406
Author(s):  
Felix C. Ringshausen ◽  
Raphael Ewen ◽  
Jan Multmeier ◽  
Bondo Monga ◽  
Marko Obradovic ◽  
...  
Keyword(s):  
Pulmonary Disease ◽  
Predictive Modeling ◽  
Claims Data ◽  
Health Claims ◽  
Disease Epidemiology ◽  
German Health ◽  
Health Claims Data

Total Cerebral Small Vessel Disease Score and Anthropometric Indices: A Population-Based Study in Older Adults of Amerindian Ancestry

2021 ◽  
pp. 1-4
Author(s):  
Oscar H. Del Brutto ◽  
Robertino M. Mera
Keyword(s):  
Older Adults ◽  
Small Vessel Disease ◽  
Brain Magnetic Resonance Imaging ◽  
Population Based ◽  
Cerebral Small Vessel Disease ◽  
The Body ◽  
Small Vessel ◽  
Population Based Study ◽  
Vessel Disease ◽  
Ordinal Logistic Regression Model

A total of 590 older adults of Amerindian ancestry living in rural Ecuador received anthropometric measurements and a brain magnetic resonance imaging to estimate the total cerebral small vessel disease (cSVD) score. A fully adjusted ordinal logistic regression model, with categories of the total cSVD score as the dependent variable, disclosed significant associations between the waist circumference, the waist-to-hip, and the waist-to-height ratios – but not the body mass index (BMI) – and the cSVD burden. Indices of abdominal obesity may better correlate with severity of cSVD than the BMI in Amerindians. Phenotypic characteristics of this population may account for these results.

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