Sex Differences in the Clinical Profile Among Patients With Gout: Cross-sectional Analyses of an Observational Study

2020 ◽  
pp. jrheum.200113 ◽  
Author(s):  
Ritch te Kampe ◽  
Matthijs Janssen ◽  
Caroline van Durme ◽  
Tim L. Jansen ◽  
Annelies Boonen
Keyword(s):  
Sex Differences ◽  
Clinical Characteristics ◽  
Newly Diagnosed ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Research Findings ◽  
Male Patients ◽  
Menopausal State ◽  
Insight Into

Objective Research findings in gout result predominantly from studies about men and might not be generalizable to women. To improve insight into sex differences in gout, our study compared clinical characteristics and comorbidities of female and male patients with gout, and explored the influence of menopause on these differences. Methods Data from patients referred to 2 rheumatology clinics and diagnosed with gout were used. Clinical characteristics and comorbidities of each sex were compared univariately. Sex difference in comorbidities were further explored in multivariate logistic regression analyses adjusting for age, BMI, smoking, and alcohol consumption in both the total group and in those with gout onset ≥ 55 years (as a surrogate for menopausal state). Results There were 954 patients, including 793 (83%) men, included. Women were on average older (65 vs 62 yrs), were more often obese (54% vs 36%), had a higher serum uric acid (sUA) level (0.53 vs 0.49 mmol/L), used diuretics more often (60% vs 30%), and consumed alcohol less frequently (47% vs 72%). Additionally, women more frequently had reduced renal function (64% vs 31%), hypertension (78% vs 56%), heart failure (23% vs 12%), and type 2 diabetes (39% vs 17%; all P < 0.05). In those with gout onset ≥ 55 years, differences in comorbidities were less pronounced and disappeared after adjusting for lifestyle. Conclusion Our study confirmed sex differences in clinical characteristics and comorbidities among newly diagnosed patients with gout, and revealed that sex differences in comorbidities among those with gout onset beyond the age of female menopause were strongly attenuated and fully explained by lifestyle.

scholarly journals PRKAA2 variation and the clinical characteristics of patients newly diagnosed with type 2 diabetes mellitus in Yogyakarta, Indonesia

2021 ◽  
Vol 15 (4) ◽  
pp. 161-170
Author(s):  
Dita Maria Virginia ◽  
Mae Sri Hartati Wahyuningsih ◽  
Dwi Aris Agung Nugrahaningsih
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Genetic Variation ◽  
Clinical Characteristics ◽  
Genetic Variations ◽  
Clinical Feature ◽  
Newly Diagnosed ◽  
Cross Sectional

Abstract Background Adenosine monophosphate (AMP)-activated protein kinase (AMPK; EC 2.7.11.31) enzymes play a pivotal role in cell metabolism. They are involved in type 2 diabetes mellitus (T2DM) pathogenesis. Genetic variation of PRKAA2 coding for the AMPK α2 catalytic subunit (AMPKα2) is reported to be associated with susceptibility for T2DM. Objectives To determine the association between PRKAA2 genetic variations (rs2796498, rs9803799, and rs2746342) with clinical characteristics in patients newly diagnosed with T2DM. Methods We performed a cross-sectional study including 166 T2DM patients from 10 primary health care centers in Yogyakarta, Indonesia. We measured fasting plasma glucose, hemoglobin A1c, serum creatinine, glomerular filtration rate, blood pressure, and body mass index as clinical characteristics. PRKAA2 genetic variations were determined by TaqMan SNP genotyping assay. Hardy–Weinberg equilibrium was calculated using χ2 tests. Results There was no difference in clinical characteristics for genotypes rs2796498, rs9803799, or rs2746342 (P > 0.05). No significant association was found between PRKAA2 genetic variations and any clinical feature observed. Further subgroup analysis adjusting for age, sex, and waist circumference did not detect any significant association of PRKAA2 genetic variations with clinical characteristics (P > 0.05). Conclusion PRKAA2 genetic variation is not associated with the clinical characteristics of Indonesian patients with newly diagnosed T2DM.

scholarly journals Clinical Characteristics and Risk of Diabetic Complications in Data-Driven Clusters Among Type 2 Diabetes

2021 ◽  
Vol 12 ◽  
Author(s):  
Lin Xing ◽  
Fangyu Peng ◽  
Qian Liang ◽  
Xiaoshuang Dai ◽  
Junli Ren ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Complications ◽  
Clinical Characteristics ◽  
Chinese Patients ◽  
Newly Diagnosed ◽  
Medication Treatment ◽  
Dipeptidyl Peptidase 4 ◽  
Age Related

BackgroundThis study aimed to cluster newly diagnosed patients and patients with long-term diabetes and to explore the clinical characteristics, risk of diabetes complications, and medication treatment related to each cluster.Research Design and MethodsK-means clustering analysis was performed on 1,060 Chinese patients with type 2 diabetes based on five variables (HbA1c, age at diagnosis, BMI, HOMA2-IR, and HOMA2-B). The clinical features, risk of diabetic complications, and the utilization of elven types of medications agents related to each cluster were evaluated with the chi-square test and the Tukey–Kramer method.ResultsFour replicable clusters were identified, severe insulin-resistant diabetes (SIRD), severe insulin-deficient diabetes (SIDD), mild obesity-related diabetes (MOD), and mild age-related diabetes (MARD). In terms of clinical characteristics, there were significant differences in blood pressure, renal function, and lipids among clusters. Furthermore, individuals in SIRD had the highest prevalence of stages 2 and 3 chronic kidney disease (CKD) (57%) and diabetic peripheral neuropathy (DPN) (67%), while individuals in SIDD had the highest risk of diabetic retinopathy (32%), albuminuria (31%) and lower extremity arterial disease (LEAD) (13%). Additionally, the difference in medication treatment of clusters were observed in metformin (p = 0.012), α-glucosidase inhibitor (AGI) (p = 0.006), dipeptidyl peptidase 4 inhibitor (DPP-4) (p = 0.017), glucagon-like peptide-1 (GLP-1) (p &lt;0.001), insulin (p &lt;0.001), and statins (p = 0.006).ConclusionsThe newly diagnosed patients and patients with long-term diabetes can be consistently clustered into featured clusters. Each cluster had significantly different patient characteristics, risk of diabetic complications, and medication treatment.

scholarly journals The association between serum uric acid and diabetic complications in patients with type 2 diabetes mellitus by gender: a cross-sectional study

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10691
Author(s):  
Yimeng Hu ◽  
Qinge Li ◽  
Rui Min ◽  
Yingfeng Deng ◽  
Yancheng Xu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Risk Factor ◽  
Clinical Characteristics ◽  
Independent Risk Factor ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

Background The relationship between serum uric acid (SUA) and several diabetic complications or co-morbidities remains a matter of debate. The study aims to explore the association between SUA levels and the prevalence of non-alcoholic fatty liver disease (NAFLD), diabetic retinopathy (DR), diabetic nephropathy (DN) and diabetic peripheral neuropathy (DPN) in patients with type 2 diabetes mellitus (T2DM). Methods A total of 2,809 participants (1,784 males and 1,025 females) were included in this cross-sectional study. Clinical characteristics and the prevalence of each of the four diseases were analyzed based on gender-specific quartiles of SUA levels. The Pearson correlation analysis and linear-regression analysis were used to access the correlation between SUA levels and clinical characteristics. Furthermore, a binary logistic regression analysis was carried out to determine whether SUA was an independent risk factor for each of the four complications. Results SUA levels were positively correlated to BMI, BUN, Scr and TG, but negatively associated with eGFR, HDL, FBG, 2h-PG and HbA1c% for the patients with T2DM. The prevalence of NAFLD and DN, but not DR or DPN, were increased with SUA levels from the first to the fourth quartile. Binary logistic regression further disclosed that SUA was an independent risk factor for NAFLD (ORs Male = 1.002, ∗P = 0.0013; ORs Female = 1.002, ∗P = 0.015) and DN (ORs Male = 1.006, ∗P < 0.001; ORs Female = 1.005, ∗P < 0.001), but not for DR and DPN. After adjustment for the confounders, SUA levels were significantly associated with NAFLD within the 3rd (ORs = 1.829, P = 0.004) and 4th quartile (ORs = 2.064, P = 0.001) for women, but not independently associated with SUA for man. On the other hand, our results revealed increased prevalence of DN for SUA quartile 2 (ORs = 3.643, P = 0.039), quartile 3 (ORs = 3.967, P = 0.024) and quartile 4 (ORs = 9.133, P < 0.001) in men; however, SUA quartiles were significantly associated with DN only for quartile 4 (ORs = 4.083, P = 0.042) in women Conclusion For patients with T2DM, elevated SUA concentration is an independent risk factor for the prevalence of NAFLD and DN after adjustment for other indicators, but not DR or DPN.

scholarly journals Dairy product consumption is associated with pre-diabetes and newly diagnosed type 2 diabetes in the Lifelines Cohort Study

2018 ◽  
Vol 119 (4) ◽  
pp. 442-455 ◽  
Author(s):  
Elske M. Brouwer-Brolsma ◽  
Diewertje Sluik ◽  
Cecile M. Singh-Povel ◽  
Edith J. M. Feskens
Keyword(s):  
Type 2 Diabetes ◽  
Dairy Products ◽  
Dairy Product ◽  
Newly Diagnosed ◽  
Cross Sectional ◽  
Product Consumption ◽  
Fermented Dairy Products ◽  
Fermented Dairy ◽  
Dairy Product Consumption

AbstractPrevious studies show associations between dairy product consumption and type 2 diabetes, but only a few studies conducted detailed analyses for a variety of dairy subgroups. Therefore, we examined cross-sectional associations of a broad variety of dairy subgroups with pre-diabetes and newly diagnosed type 2 diabetes (ND-T2DM) among Dutch adults. In total, 112 086 adults without diabetes completed a semi-quantitative FFQ and donated blood. Pre-diabetes was defined as fasting plasma glucose (FPG) between 5·6 and 6·9 mmol/l or HbA1c% of 5·7–6·4 %. ND-T2DM was defined as FPG ≥7·0 mmol/l or HbA1c ≥6·5 %. Logistic regression analyses were conducted by 100 g or serving increase and dairy tertiles (T1ref), while adjusting for demographic, lifestyle and dietary covariates. Median dairy product intake was 324 (interquartile range 227) g/d; 25 549 (23 %) participants had pre-diabetes; and 1305 (1 %) had ND-T2DM. After full adjustment, inverse associations were observed of skimmed dairy (OR100 g 0·98; 95 % CI 0·97, 1·00), fermented dairy (OR100 g 0·98; 95 % CI 0·97, 0·99) and buttermilk (OR150 g 0·97; 95 % CI 0·94, 1·00) with pre-diabetes. Positive associations were observed for full-fat dairy (OR100 g 1·003; 95 % CI 1·01, 1·06), non-fermented dairy products (OR100 g 1·01; 95 % CI 1·00, 1·02) and custard (ORserving/150 g 1·13; 95 % CI 1·03, 1·24) with pre-diabetes. Moreover, full-fat dairy products (ORT3 1·16; 95 % CI 0·99, 1·35), non-fermented dairy products (OR100 g 1·05; 95 % CI 1·01, 1·09) and milk (ORserving/150 g 1·08; 95 % CI 1·02, 1·15) were positively associated with ND-T2DM. In conclusion, our data showed inverse associations of skimmed and fermented dairy products with pre-diabetes. Positive associations were observed for full-fat and non-fermented dairy products with pre-diabetes and ND-T2DM.

Serum CA 19–9 Level is Correlated to the Clinical Characteristics and Chronic Complications of Patients Newly Diagnosed with Type 2 Diabetes Mellitus

2019 ◽  
Author(s):  
Limei Cui ◽  
Naqiang Lv ◽  
Bin Li ◽  
Jing Tao ◽  
Xiaomin Zheng ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Regression Analysis ◽  
Clinical Characteristics ◽  
Elevated Serum ◽  
Newly Diagnosed ◽  
Chronic Complications

Abstract Aim This study investigated the relation of serum carbohydrate antigen 199 (CA 19–9) levels to the clinical characteristics and chronic complications of patients newly diagnosed with type 2 diabetes mellitus (T2DM). Methods A total of 371 patients newly diagnosed with T2DM and 133 healthy people with consecutively matched age were compared. The 371 patients with T2DM were divided into four groups by quartiles based on their serum CA 19–9 levels, in which clinical characteristics and chronic complications, such as diabetic retinopathy (DR), diabetic nephropathy, and macrovascular complications were compared. Logistic regression analysis was used to evaluate the risk factors of DR. Results Among the 371 patients newly diagnosed with T2DM, 60 had elevated CA 19–9 levels (16.17%). The frequencies of elevated serum CA 19–9 were 24.39% (30 of 123) for females and 12.10% (30 of 248) for males, in which the values for females were higher than those for males (P<0.01).Differences were observed among the serum CA 19–9 levels, hemoglobin A1c (HbA1c), and DR (P<0.05). Logistic regression analysis showed that serum CA 19–9 levels, fasting blood glucose (FBG) and fasting C-peptide (FC-P) were risk factors for DR (P<0.05). Conclusions Serum CA 19–9 levels were correlated with HbA1c and DR in patients newly diagnosed with T2DM. The elevated serum CA 19–9 levels, high FC-P, and FBG levels were important risk factors for DR in patients newly diagnosed with T2DM.

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