scholarly journals What factors explain the much higher diabetes prevalence in Russia compared with Norway? Major sex differences in the contribution of adiposity

2021 ◽  
Vol 9 (1) ◽  
pp. e002021
Author(s):  
Olena Iakunchykova ◽  
Maria Averina ◽  
Tom Wilsgaard ◽  
Sofia Malyutina ◽  
Alexander V Kudryavtsev ◽  
...  
Keyword(s):  
Risk Factors ◽  
Glycated Hemoglobin ◽  
Population Based ◽  
Marginal Structural Models ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
High Prevalence ◽  
The Difference ◽  
Design And Methods

IntroductionCompared with many other countries Russia has a high prevalence of diabetes in men and women. However, contrary to what is found in most other populations, the risk is greater among women than men. The reasons for this are unclear.Research design and methodsPrevalence and risk factors for diabetes at ages 40–69 years were compared in two population-based studies: Know Your Heart (KYH) (Russia, 2015–2018, n=4121) and the seventh wave of the Tromsø Study (Tromsø 7) (Norway, 2015–2016, n=17 649). Diabetes was defined by the level of glycated hemoglobin and/or self-reported diabetes and/or diabetes medication use. Marginal structural models were used to estimate the role of key risk factors for diabetes in differences between the studies.ResultsAge-standardized prevalence of diabetes was higher in KYH compared with Tromsø 7 in men (11.6% vs 6.2%) and in women (13.2% vs 4.3%). Age-adjusted ORs for diabetes in KYH compared with Tromsø 7 were 2.01 (95% CI 1.68 to 2.40) for men and 3.66 (95% CI 3.13 to 4.26) for women. Adiposity (body mass index and waist circumference) explained none of this effect for men but explained 46.0% (39.6, 53.8) for women. Addition of smoking and C reactive protein, as further mediators, slightly increased the percentage explained of the difference between studies to 55.5% (46.5, 66.0) for women but only to 9.9% (−0.6, 20.8) for men.ConclusionsAdiposity is a key modifiable risk factor that appears to explain half of the almost threefold higher female prevalence of diabetes in Russia compared with Norway, but none of the twofold male difference.

scholarly journals A STUDY TO ASSESS PREDICTIVE ROLE OF C-REACTIVE PROTEIN IN EARLY PREGNANCY AMONG WOMEN

2021 ◽  
Vol 5 (8) ◽  
Author(s):  
Neeti Mahla ◽  
Mukesh Choudhary
Keyword(s):  
Early Pregnancy ◽  
Quantitative Estimation ◽  
First Trimester ◽  
Normal Pregnancy ◽  
P Value ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Predictive Role ◽  
The Difference

Background: To Assess Predictive Role of C-Reactive Protein In Early Pregnancy among Women Methods: Hospital based comparative analysis was conducted on Women with early pregnancy upto 14 weeks with either abdominal pain or vaginal bleeding or suspected extrauterine pregnancy. C-reactive protein (CRP) quantitative estimation is done by turbi-diametric method. Collected samples were sent to a designated lab of our hospital. Results: The mean c-reactive protein level in cases 2.31 with min-max value ranging from 0.80-3.91mg/dl while in controls mean c-reactive protein value came to be 9.12 with min-max range from 3.21-24.16 mg/dl. The difference between the two groups is significant as p value is less than 0.001. Conclusion: Our results of significantly increased CRP levels in normal pregnancy and a clear association between CRP and normal pregnancy, support the clinical application of this diagnostic tool in early pregnancy, especially as a predictor of abnormal first trimester pregnancies. Keywords: CRP, Pregnancy, Women

Abstract P300: C-reactive Protein and Racial Differences in Type 2 Diabetes Incidence: Reasons for Geographic and Racial Differences in Stroke (REGARDS)

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Kaitlyn M Peper ◽  
Boyi Guo ◽  
Leann Long ◽  
George Howard ◽  
April P Carson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Racial Differences ◽  
Racial Difference ◽  
Incident Diabetes ◽  
Diabetes Incidence ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
The Difference ◽  
Adjusted Model ◽  
The Impact

Introduction: Black Americans have a higher incidence of diabetes and have elevated inflammatory biomarkers compared to white Americans. Elevated inflammation is a risk factor for diabetes but the impact of inflammation on the racial disparity in diabetes is unknown. Hypothesis: Elevated C-reactive protein (CRP) attenuates the observed black-white difference in incident diabetes. Methods: REGARDS enrolled 30,239 black and white adults aged ≥45 years from the contiguous US in 2003-07. This analysis included REGARDS participants without baseline diabetes who were assessed for diabetes 9 years later. RRs for incident diabetes by race were calculated using modified Poisson regression adjusting for risk factors known to contribute to the racial difference in diabetes incidence. The attenuation by CRP of the black-white RR of incident diabetes was calculated as the percent difference in the race RR in models with and without CRP adjustment; 95% CI for the difference was estimated using bootstrapping. Results: Of 11,073 participants without baseline diabetes (33% black, 67% white), black participants had higher CRP than white participants, and 12.5% developed incident diabetes. The black-white RR for incident diabetes in the base model was 1.74 (95% CI: 1.52, 1.99) for women and 1.44 (1.25, 1.66) for men. Baseline CRP mediated 21% (14, 29%) of this association in women and 20% (12, 34%) in men. These percent attenuations were similar in models adjusting for other diabetes risk factors but were diminished in a fully adjusted model; 5% (-4, 25%) in women and 7% (-43, 50%) in men (Figure). Conclusion: Adjustment for CRP in base models accounted for 20% and 21% of the excess risk of incident diabetes observed in black men and women, respectively, in this study. This substantial mediation persisted after adjusting for other risk factors but was diminished in the fully adjusted model. This suggests a role of inflammation in the diabetogenic effects of risk factors contributing to the observed racial difference in diabetes incidence.

scholarly journals Hemostatic Changes in Patients with COVID-19: A Meta-Analysis with Meta-Regressions

2020 ◽  
Vol 9 (7) ◽  
pp. 2244 ◽  
Author(s):  
Matteo Nicola Dario Di Minno ◽  
Ilenia Calcaterra ◽  
Roberta Lupoli ◽  
Antonio Storino ◽  
Giorgio Alfredo Spedicato ◽  
...  
Keyword(s):  
Regression Models ◽  
Meta Analysis ◽  
C Reactive Protein ◽  
Long Term Outcomes ◽  
Chronic Disability ◽  
Reactive Protein ◽  
The Difference ◽  
D Dimer

Background: Complications of coronavirus disease 2019 (COVID-19) include coagulopathy. We performed a meta-analysis on the association of COVID-19 severity with changes in hemostatic parameters. Methods: Data on prothrombin time (PT), activated partial thromboplastin time (aPTT), D-Dimer, platelets (PLT), or fibrinogen in severe versus mild COVID-19 patients, and/or in non-survivors to COVID-19 versus survivors were systematically searched. The standardized mean difference (SMD) was calculated. Results: Sixty studies comparing 5487 subjects with severe and 9670 subjects with mild COVID-19 documented higher PT (SMD: 0.41; 95%CI: 0.21, 0.60), D-Dimer (SMD: 0.67; 95%CI: 0.52, 0.82), and fibrinogen values (SMD: 1.84; 95%CI: 1.21, 2.47), with lower PLT count (SMD: −0.74; 95%CI: −1.01, −0.47) among severe patients. Twenty-five studies on 1511 COVID-19 non-survivors and 6287 survivors showed higher PT (SMD: 0.67; 95%CI: 0.39, 0.96) and D-Dimer values (SMD: 3.88; 95%CI: 2.70, 5.07), with lower PLT count (SMD: −0.60, 95%CI: −0.82, −0.38) among non-survivors. Regression models showed that C-reactive protein values were directly correlated with the difference in PT and fibrinogen. Conclusions: Significant hemostatic changes are associated with COVID-19 severity. Considering the risk of fatal complications with residual chronic disability and poor long-term outcomes, further studies should investigate the prognostic role of hemostatic parameters in COVID-19 patients.

Hypothyroidism and cardiovascular system

2016 ◽  
Vol 94 (7) ◽  
pp. 497-503 ◽  
Author(s):  
A. F. Verbovoy ◽  
Lyudmila A. Sharonova ◽  
O. V. Kosareva ◽  
N. I. Verbovaya ◽  
Yu. A. Dolgikh
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
Vitamin D3 ◽  
Thyroid Dysfunction ◽  
Myocardial Remodeling ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
The Relationship

The article presents data on the relationship between thyroid dysfunction and cardiovascular diseases. The role of dyslipidemia, adipokines (adiponectin, leptin, resistin), C-reactive protein, deficiency of vitamin D3 in the development of cardiovascular disease in hypothyroidism is discussed. The article describes characteristics of myocardial remodeling, its dysfunction and their correlation with risk factors of cardiovascular diseases in patients with hypothyroidism.

scholarly journals Addressing the Perfect Storm: Biomarkers in Obesity and Pathophysiology of Cardiometabolic Risk

2018 ◽  
Vol 64 (1) ◽  
pp. 142-153 ◽  
Author(s):  
Krasimira Aleksandrova ◽  
Dariush Mozaffarian ◽  
Tobias Pischon
Keyword(s):  
Risk Factors ◽  
Disease Prediction ◽  
C Reactive Protein ◽  
Disease Etiology ◽  
Fatty Acid Binding ◽  
Therapeutic Implications ◽  
Cardiometabolic Diseases ◽  
Reactive Protein ◽  
Novel Biomarkers

AbstractBACKGROUNDThe worldwide rise of obesity has provoked intensified research to better understand its pathophysiology as a means for disease prevention. Several biomarkers that may reflect various pathophysiological pathways that link obesity and cardiometabolic diseases have been identified over the past decades.CONTENTWe summarize research evidence regarding the role of established and novel obesity-related biomarkers, focusing on recent epidemiological evidence for detrimental associations with cardiometabolic diseases including obesity-related cancer. The reviewed biomarkers include biomarkers of glucose–insulin homeostasis (insulin, insulin-like growth factors, and C-peptide), adipose tissue biomarkers (adiponectin, omentin, apelin, leptin, resistin, and fatty-acid-binding protein-4), inflammatory biomarkers (C-reactive protein, interleukin 6, tumor necrosis factor α), and omics-based biomarkers (metabolites and microRNAs).SUMMARYAlthough the evidence for many classical obesity biomarkers, including adiponectin and C-reactive protein (CRP), in disease etiology has been initially promising, the evidence for a causal role in humans remains limited. Further, there has been little demonstrated ability to improve disease prediction beyond classical risk factors. In the era of “precision medicine,” there is an increasing interest in novel biomarkers, and the extended list of potentially promising biomarkers, such as adipokines, cytokines, metabolites, and microRNAs, implicated in obesity may bring new promise for improved, personalized prevention. To further evaluate the role of obesity-related biomarkers as etiological and early-disease-prediction targets, well-designed studies are needed to evaluate temporal associations, replicate findings, and test clinical utility of novel biomarkers. In particular, studies to determine the therapeutic implications of novel biomarkers beyond established metabolic risk factors are highly warranted.

scholarly journals Distribution of C-reactive Protein and Its Association with Cardiovascular Risk Factors in a Population-Based Sample of Chinese

2010 ◽  
Vol 28 (6) ◽  
pp. 333-342 ◽  
Author(s):  
Yanfang Zhao ◽  
Rui Wang ◽  
Xiuqiang Ma ◽  
Xiaoyan Yan ◽  
Zhansai Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Population Based ◽  
Lipoprotein Cholesterol ◽  
Urban Region ◽  
C Reactive Protein ◽  
Reactive Protein

C-reactive protein (CRP) levels vary remarkably with ethnic status. Its distribution and correlates should be investigated across diverse populations, and these were limited in a representative Chinese population. We investigated 3133 participants aged 18–80 years in Shanghai, which were sampled using a randomized, stratified, multi-stage sampling method. The distribution of CRP was highly skewed toward a lower level. The median CRP was 0.55 mg/L (0.61 mg/L in males, 0.51 mg/L in females). Participants living in urban region had higher CRP levels than those in rural region (0.67 vs. 0.46 mg/L). CRP levels showed significant correlation with traditional cardiovascular risk factors, and it was most strongly correlated with body mass index. Multivariate logistic regression analyses indicated that elevated CRP (being in the top 15 percentile of CRP; CRP ≥ 2.09 mg/L) was significantly associated with obesity, hypertension, diabetes, low high-density lipoprotein cholesterol, high low-density lipoprotein cholesterol, high triglycerides and cardiovascular disease history. In conclusion, the distribution of CRP in adult Chinese was comparable with that of many other Asian populations but different from that of Western populations. Metabolic impairment was associated with elevated CRP, and CRP levels should be interpreted in conjunction with the lipid profile.

C-reactive protein, insulin resistance and risk of cardiovascular disease: a population-based study

2008 ◽  
Vol 15 (5) ◽  
pp. 594-598 ◽  
Author(s):  
Jørgen Jeppesen ◽  
Tine W. Hansen ◽  
Michael H. Olsen ◽  
Susanne Rasmussen ◽  
Hans lbsen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Cardiovascular Disease ◽  
Standard Deviation ◽  
Population Based ◽  
Hazard Ratio ◽  
C Reactive Protein ◽  
Standard Deviation Increase ◽  
Population Based Study ◽  
Reactive Protein

Background C-reactive protein (CRP), a marker of inflammation, and insulin resistance (IR), a metabolic disorder, are closely related. CRP and IR have both been identified as significant risk factors of cardiovascular disease (CVD) after adjustment for conventional CVD risk factors. It is not clear whether CRP predicts CVD independent of IR. Design Prospective population-based study. Methods Two thousand three hundred and fifty-seven Danish men and women, recruited from the general population, aged 41–72 years, without major CVD at baseline were studied. Traditional and new risk factors were recorded at baseline. CRP was determined by a high-sensitivity assay, and IR was determined by the homoeostasis model assessment (HOMA-IR) method. Results Over a median follow-up of 9.4 years, the incidence of the prespecified CV event, defined as the composite event of CV death, nonfatal ischaemic heart disease and nonfatal stroke, amounted to 222 cases. In Cox proportional-hazard models, adjusted for age, sex, smoking habit, total cholesterol, waist circumference, levels of triglycerides and high-density lipoprotein-cholesterol, systolic and diastolic blood pressures, physical activity and HOMA-IR, the hazard ratio (95% confidence interval) of a CV event was 1.33 (1.14–1.55; 0.001) per standard deviation increase in log-transformed CRP level. In the same model, the hazard ratio of a CV event was 1.11 (1.02–1.21; P < 0.05) per standard deviation increase in HOMA-IR level. Conclusion In a general Danish population free of major CVD at baseline, both CRP and IR were significantly related to risk of CVD.

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