scholarly journals Gender difference in the association between TyG index and subclinical atherosclerosis: results from the I-Lan Longitudinal Aging Study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Ya-Wen Lu ◽  
Chun-Chin Chang ◽  
Ruey-Hsing Chou ◽  
Yi-Lin Tsai ◽  
Li-Kuo Liu ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Subclinical Atherosclerosis ◽  
Gender Disparity ◽  
Diabetic Patients ◽  
Tyg Index ◽  
Aging Study ◽  
Longitudinal Aging Study

Abstract Background Insulin resistance (IR) is a known risk factor for cardiovascular disease (CVD) in non-diabetic patients through the association of hyperglycemia or associated metabolic factors. The triglyceride glucose (TyG) index, which was defined by incorporating serum glucose and insulin concentrations, was developed as a surrogate marker of insulin resistance. We aimed to investigate the association between the TyG index and the early phase of subclinical atherosclerosis (SA) between the sexes. Methods The I-Lan Longitudinal Aging Study (ILAS) enrolled 1457 subjects aged 50–80 years. For each subject, demographic data and the TyG index {ln[fasting triglyceride (mg/dL)  ×  fasting plasma glucose (mg/dL)]/2} were obtained. Patients were further stratified according to sex and the 50th percentile of the TyG index (≥  8.55 or  <  8.55). SA was defined as the mean carotid intima-media thickness (cIMT) at the 75th percentile of the entire cohort. Demographic characteristics and the presence of SA were compared between the groups. Logistic regression analysis was performed to assess the relationship between TyG index and SA. Results Patients with a higher TyG index (≥  8.55) had a higher body mass index (BMI), hypertension (HTN) and diabetes mellitus (DM). They had higher lipid profiles, including total cholesterol (T-Chol) and low-density lipoprotein (LDL), compared to those with a lower TyG index (<  8.55). Gender disparity was observed in non-diabetic women who had a significantly higher prevalence of SA in the high TyG index group than in the low TyG index group. In multivariate logistic regression analysis, a high TyG index was independently associated with SA in non-diabetic women after adjusting for traditional risk factors [adjusted odds ratio (OR): 1.510, 95% CI 1.010–2.257, p  =  0.045] but not in non-diabetic men. The TyG index was not associated with the presence of SA in diabetic patients, irrespective of sex. Conclusion A high TyG index was significantly associated with SA and gender disparity in non-diabetic patients. This result may highlight the need for a sex-specific risk management strategy to prevent atherosclerosis.

The Relationship Between Hemodialysis Modality and Insulin Resistance in Non-Diabetic Hemodialysis Patients

2015 ◽  
Vol 39 (1-3) ◽  
pp. 224-229 ◽  
Author(s):  
Sung Jin Moon ◽  
Jung Eun Lee ◽  
Jwa-Kyung Kim ◽  
Soo Young Yoon ◽  
Shin Wook Kang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Hemodialysis Patients ◽  
Model Assessment ◽  
Multivariate Logistic Regression ◽  
Factors Associated ◽  
The Relationship

Background: Although various modalities of hemodialysis (HD) are presumed to have different effects on insulin resistance (IR), the relationship between hemodiafiltration (HDF) and IR has not been fully evaluated. Methods: In a cross-sectional study, 82 non-diabetic HD patients were enrolled. The patients were divided into two groups according to the median homeostasis model assessment index (HOMA-IR) value of 1.685. Clinical and biochemical data were compared, and multivariate logistic regression analysis was performed to identify the independent factors associated with higher HOMA-IR. Results: The higher HOMA-IR group had increased body mass index (BMI), decreased HDL cholesterol, and lower beta-2 microglobulin reduction rate (β2-MG RR) compared to the lower HOMA-IR group. HOMA-IR was significantly correlated with β2-MG RR. In addition, HDF patients had lower HOMA-IR levels compared with low flux hemodialysis patients. On multivariate logistic regression analysis, BMI and HDF treatment were independent factors associated with higher and lower HOMA-IR, respectively. Conclusion: This study suggests that HDF treatment may reduce IR in non-diabetic HD patients.

scholarly journals Clinical Characteristics, Serum Uric Acid and Bullosis Diabeticorum Outcomes in Patients With Diabetes Mellitus

2021 ◽  
Author(s):  
Yulan Cai ◽  
Shili Zhang ◽  
Ying Cao ◽  
Fang Gao ◽  
Mengchen Zou
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Laboratory Data ◽  
Control Group ◽  
Multivariable Logistic Regression Analysis ◽  
Diabetic Patients ◽  
Patients With Diabetes ◽  
Bullosis Diabeticorum

Abstract Background: Bullosis diabeticorum (BD) is a spontaneous, non-inflammatory vesicular disease of diabetes, with the observed risk of infection, including diabetic skin ulcers, osteomyelitis and even leading to amputation. However, the exact cause of BD is not well understood. So the aim of this study is to explore the high-risk factors of BD for preventing its occurrence.Methods: A retrospective study was conducted, including baseline characteristics, laboratory data, and bullosis diabeticorum outcomes of 602 patients with bullosis diabeticorum. Besides, 904 diabetic patients without bullosis diabeticorum in the same period were randomly selected as the control group. The indicators of the two groups were compared. Multivariable logistic regression analysis was performed to investigate which indicator was most associated with bullosis diabeticorum outcomes.Results: SCr[145.00(69.00-195.00) μmol/L, n = 602 vs. 81.00(27.40-35.60) μmol/L, n= 904, p=0.032], BUA [674.00(372.50-758.50) µmol/L, n = 602 vs. 318.50(241.75-415.25) µmol/L, n= 904, p = 0.003] and Cys-C[1.96(1.10-2.95) mg/L, n = 602 vs. 1.49(1.10-1.62) mg/L, n = 904, p=0.004] was significantly higher in BD-positive patients than that in BD-negative patients, whereas eGFR [67.38(45.33-87.53) ml/min, n = 602 vs. 75.86(56.80-95.69) ml/min, n = 904, p=0.038] of patients with BD was significantly lower than that of patients without BD. Multiple logistic regression analysis showed that BUA, but not SCr, Cys-C and eGFR, was independently and significantly associated in a positive manner with BD (odds ratio: 8.569, 95% confidence interval: 1.136-55.250, p=0.004).Conclusion: We found a positive and independent association of BUA with BD, which provides a great clinical predictive factor for BD and helps to prevent the appearance of diabetic foot.

scholarly journals Association of Postbreakfast Triglyceride and Visit-to-Visit Annual Variation of Fasting Plasma Glucose with Progression of Diabetic Nephropathy in Patients with Type 2 Diabetes

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Kaori Kitaoka ◽  
Akiko Takenouchi ◽  
Ayaka Tsuboi ◽  
Keisuke Fukuo ◽  
Tsutomu Kazumi
Keyword(s):  
Type 2 Diabetes ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Plasma Glucose ◽  
Multivariate Logistic Regression Analysis ◽  
Lipid Lowering ◽  
Diabetic Patients ◽  
Multivariate Logistic Regression

Urinary albumin/creatinine ratio (ACR) was measured at baseline and after a median follow-up of 6.0 years in 161 patients with type 2 diabetes. Intrapersonal means and SD of HbA1c, systolic BP, fasting, and postmeal plasma glucose (FPG and PMPG, resp.) and serum triglycerides (FTG and PMTG, resp.) were calculated in each patient during the first 12 months after enrollment. Associations of these variables with nephropathy progression (15 patients with progression of albuminuric stages and 5 with ACR doubling within the microalbuminuric range) were determined by multivariate logistic regression analysis providing odds ratio with 95% confidential interval. Patients with nephropathy progression, compared with those without nephropathy progression, had higher HbA1c (p<0.01). They also had higher means and SD of FPG (bothp<0.05), FTG (bothp<0.05), and PMTG (p=0.001). Multivariate logistic regression analysis demonstrated that SD-FPG (1.036, 1.001–1.073,p=0.04) and PMTG (1.013, 1.008–1.040,p=0.001) were significant predictors of progression of nephropathy even after adjustment for mean FPG and SD-FTG, age, sex, BMI, waist circumference, diabetes duration and therapy, means and SDs of HbA1c, PPG, FTG and systolic BP, baseline ACR, smoking status, and uses of antihypertensive and lipid-lowering medications. Consistency of glycemic control and management of postmeal TG may be important to prevent nephropathy progression in type 2 diabetic patients.

scholarly journals Plasma Asprosin Levels Are Associated with Glucose Metabolism, Lipid, and Sex Hormone Profiles in Females with Metabolic-Related Diseases

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Xing Li ◽  
Mingyu Liao ◽  
Rufei Shen ◽  
Linlin Zhang ◽  
Hua Hu ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Glucose Metabolism ◽  
Logistic Regression Analysis ◽  
Healthy Subjects ◽  
Fasting Blood Glucose ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Metabolic Profiles

Asprosin is a white adipose tissue-derived hormone that increases abnormally in mammals with insulin resistance. However, the role of asprosin in polycystic ovary syndrome (PCOS), a disease partly characterized by insulin resistance, and its potential connection with type 2 diabetes mellitus (T2DM) and PCOS has not been thoroughly elucidated to date. To investigate the association of asprosin with metabolic profiles, sex-related hormones, or inflammation in females with T2DM or PCOS, plasma asprosin and metabolic indicators were measured in 66 healthy females, 53 female patients with T2DM, and 41 patients with PCOS. Spearman’s correlation analysis and binary logistic regression analysis models were used. Plasma asprosin was significantly higher in T2DM females than in healthy subjects (P<0.001) and was positively correlated with fasting blood glucose (FBG), hemoglobin A1c (HbA1c), and HOMA-IR (P<0.05). Asprosin in PCOS subjects was also higher than in healthy subjects (P<0.001) but lower than in T2DM subjects (P<0.05), and it was positively correlated with FBG, HbA1c, HOMA-IR, LDL-c, APOB, APOE, and testosterone (P<0.05). The BMI-categorized subgroups of PCOS subjects also showed correlations of asprosin with metabolic profiles and sex-related hormones. Binary logistic regression analysis revealed that plasma asprosin level acted as an independent risk factor for T2DM or PCOS. These findings suggest the correlation of plasma asprosin level with glucose metabolism, lipid metabolism, sex-related hormones, and inflammation in females, supporting asprosin as a potential predictive factor for females with metabolic-related diseases. This trial is registered with ChiCTR-ROC-17010719.

scholarly journals Birth-weight, insulin levels, and HOMA-IR in new-borns at term

2017 ◽  
Vol 4 (6) ◽  
pp. 2126
Author(s):  
E. Narayanan ◽  
S. Selvakumar ◽  
A. T. Arasar Seeralar
Keyword(s):  
Insulin Resistance ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Birth Weight ◽  
Logistic Regression Analysis ◽  
Serum Insulin ◽  
Multiple Logistic Regression Analysis ◽  
Second Phase ◽  
Multiple Logistic Regression ◽  
Insulin Levels

Background: Abnormal birth weight babies are prone to develop adverse metabolic and cardiovascular outcomes later in life. There is dearth of knowledge regarding correlation of birth-weight with hyperinsulinemia and insulin resistance in term newborns. Methods: Prospective cohort study was done in Institute of Obstetrics and Gynecology, Egmore, Madras Medical College from time period of May 2016 to November 2016. Inclusion criteria were newborns with gestational age between 38 to 41 weeks of normal pregnancies of healthy mothers aged 18 to 39 years. Incomplete/unclear data about mother’s health status, diabetes, history of gestational diabetes, hypertension, pre-eclampsia, eclampsia and conditions influencing glucose metabolism were exclusion criteria. In the first phase, cutoff point of HOMA-IR (homeostatic model assessment of insulin resistance) was established in 33 AGA neonates with birth-weight >2500 g and <4000 g. In the second phase, 34 term neonates were enrolled to determine whether LGA/SGA is related with hyperinsulinemia and elevated HOMA-IR. Serum insulin and serum glucose was obtained from cord blood. Hyperinsulinemia was defined by serum insulin levels ≥12.60 μU/mL and HOMA-IR ≥2.34. Multiple logistic regression analysis and Mann Whitney test was used to find association between birth-weight with hyperinsulinemia and HOMA-IR index. Results: A total of 67 newborns were enrolled; 24, 10, and 33 with SGA, LGA and AGA respectively. Hyperinsulinemia was more prevalent in 16 newborns particularly in SGA (p=0.01), whereas HOMA-IR was noted in 13 neonates (p=0.06). Multiple logistic regression analysis revealed LGA had a strong association with hyperinsulinemia (p=0.02) and HOMA-IR (p=0.02).Conclusions: Study revealed term LGA is associated with hyperinsulinemia and elevated HOMA-IR at birth.

scholarly journals MicroRNA 146a is associated with diabetic complications in type 1 diabetic patients from the EURODIAB PCS

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Federica Barutta ◽  
Beatrice Corbetta ◽  
Stefania Bellini ◽  
Simonetta Guarrera ◽  
Giuseppe Matullo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Diabetic Complications ◽  
Diabetic Patients ◽  
U6 Snrna ◽  
Inflammatory Processes ◽  
Independent Association ◽  
Nested Case Control

Abstract Background MicroRNA-146a-5p (miR-146a-5p) is a key regulator of inflammatory processes. Expression of miR-146a-5p is altered in target organs of diabetic complications and deficiency of miR-146a-5p has been implicated in their pathogenesis. We investigated if serum miR-146a-5p levels were independently associated with micro/macrovascular complications of type 1 diabetes (DM1). Methods A nested case–control study from the EURODIAB PCS of 447 DM1 patients was performed. Cases (n = 294) had one or more complications of diabetes, whereas controls (n = 153) did not have any complication. Total RNA was isolated from all subjects and miR-146a-5p levels measured by qPCR. Both the endogenous controls U6 snRNA and the spike (Cel-miR-39) were used to normalize the results. Logistic regression analysis was carried out to investigate the association of miR-146a-5p with diabetes complications. Results MiR-146a-5p levels were significantly lower in cases [1.15 (0.32–3.34)] compared to controls [1.74 (0.44–6.74) P = 0.039]. Logistic regression analysis showed that levels of miR-146a-5p in the upper quartile were inversely associated with reduced odds ratio (OR) of all complications (OR 0.34 [95% CI 0.14–0.76]) and particularly with cardiovascular diseases (CVD) (OR 0.31 [95% CI 0.11–0.84]) and diabetic retinopathy (OR 0.40 [95% CI 0.16–0.99]), independently of age, sex, diabetes duration, A1c, hypertension, AER, eGFR, NT-proBNP, and TNF-α. Conclusions In this large cohort of DM1 patients, we reported an inverse and independent association of miR-146a-5p with diabetes chronic complications and in particular with CVD and retinopathy, suggesting that miR-146a-5p may be a novel candidate biomarker of DM1 complications.

Association between sRAGE and arterial stiffness in women with systemic lupus erythematosus

2020 ◽  
Vol 20 ◽  
Author(s):  
Hongru Wang ◽  
Yibin Zeng ◽  
Huan Zheng ◽  
Bin Liu
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Arterial Stiffness ◽  
Logistic Regression Analysis ◽  
Lupus Erythematosus ◽  
Pulse Wave ◽  
Linear Regression Analysis ◽  
Diabetic Patients ◽  
Systemic Lupus

Background: sRAGE (soluble receptor for advanced glycation end products) is identified as playing a protective role in chronic inflammatory diseases, and it has been found to be related to arterial stiffness in hypertensive or diabetic patients. This cross-sectional study was designed to study the potential association of sRAGE with arterial stiffness in systemic lupus erythematosus(SLE) patients. Methods: Ninety-four female SLE patients were enrolled. Brachial-ankle pulse wave velocity (baPWV) was measured by an automatic pulse wave analyzer. Those patients were divided into two groups according to baPWV values, those with values greater than 1400cm/s being defined as the high arterial stiffness group. Biochemical parameters were compared between the two groups. Linear and logistic regression analysis was used to observe the association between sRAGE and arterial stiffness in those patients. Results: Thirty-five patients were defined as being in the high arterial stiffness group in which sRAGE levels were lower (P<0.05). sRAGE levels were significantly related to baPWV(standardized β=1.18, P<0.01) by linear regression analysis. Multivariate logistic regression analysis showed that sRAGE, SLE duration, systolic blood pressure and low-density lipoprotein cholesterol were independent predictors of arterial stiffness in those patients. Conclusion: Our results revealed that sRAGE was negatively associated with arterial stiffness in Chinese female SLE patients.

Association of Low Urine pH with Insulin Resistance in Non-Diabetic Japanese Subjects

2018 ◽  
Vol 126 (06) ◽  
pp. 357-361 ◽  
Author(s):  
Masanori Shimodaira ◽  
Shinji Okaniwa ◽  
Tomohiro Nakayama
Keyword(s):  
Insulin Resistance ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Analysis Of Covariance ◽  
Health Examination ◽  
Multivariate Logistic Regression ◽  
Urine Ph ◽  
Japanese Subjects

Abstract Background Epidemiology studies have revealed that patients with obesity, hyperglycemia, or hypertension are associated with a decreased urine pH. These metabolic disorders are related to insulin resistance; however, the association between urine pH and insulin resistance remains unclear. Methods To evaluate this association while controlling for covariates, the present study was conducted in 1084 non-diabetic Japanese subjects undergoing health examination. Fasting urine pH was analyzed using an automated urine dipstick analyzer. The subjects were divided into five groups according to urine pH: those with pH <5.5, 5.5, 6.0, 6.5, and >6.5. Insulin resistance was determined using the homeostatic model assessment of insulin resistance (HOMA-IR) and divided into three categories: lower, middle, and higher tertiles of HOMA-IR. Analysis of covariance and multivariate logistic regression analysis were used to control confounding factors including serum uric acid. Results Analysis of covariance showed an increase in the mean HOMA-IR from 1.26, 1.46, 1.69, and 1.75 to 1.89 with a decrease in urine pH (p<0.001). Subjects with urine pH ≤5.5 had a significantly higher HOMA-IR than those with urine pH>6.5. Furthermore, multivariate logistic regression analysis showed that urine pH had an inverse and independent association with HOMA-IR. In subjects with urine pH 5.5 and <5.5, adjusted odds ratio (95% confidence interval) for the incidence of higher tertile of HOMA-IR was 1.34 (1.04–1.73) and 1.52 (1.09–2.13), respectively (reference, subjects with a urine pH>6.5). Conclusion Insulin resistance is independently associated with a lower urine pH, possibly via lower formation of ammonium in the kidneys.

scholarly journals Modelling Modifiable Risk Factors of Stroke in South Africa: Classical and Bayesian Logistic Regression Models

2021 ◽  
Author(s):  
Delson Chikobvu ◽  
Lyness Matizirofa
Keyword(s):  
Risk Factors ◽  
South Africa ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Public Hospitals ◽  
Diabetic Patients ◽  
Modifiable Risk Factors ◽  
Modifiable Factors ◽  
Bayesian Logistic Regression

Abstract Background: Stroke is the second leading cause of death and long-term disability in South Africa (SA). Yet little is known in SA about the modelling of modifiable risk factors of stroke. Information on the relative contribution of modifiable risk factors on stroke incidence is needed for early interventions in SA. Identification of risk factors remains the principal aspect of stroke prevention. This study aims to identify and quantify the risk of stroke associated with modifiable stroke predictors in SA. Methods: A cross-sectional hospital-based study was employed to identify and quantify the risk of stroke associated with modifiable stroke predictors using 35730 individual patient data retrieved from selected private and public hospitals between January 2014 and December 2018 in SA. Multivariate logistic regression analysis was employed to assess the effect of modifiable factors on stroke. Bayesian logistic regression analysis was employed to understand the uncertainty in the estimation of model parameters. Results: The dominant modifiable risk factors were: hypertension, cholesterol, heart problems and diabetes and all depend on the age of an individual and the interaction of these factors. The parameters, in the simpler model, of having hypertension, cholesterol, heart problems and diabetes were positive and significant confirming greater impact on the risk of stroke distribution. For instance, the odds ratio(OR) of patients with hypertension developing stroke when compared to those without hypertension is 80% higher. The OR of diabetic patients developing stroke when compared to non-diabetic was 194% higher.Conclusions: Most strokes are attributable to modifiable factors. Study findings will be used to raise awareness of modifiable risk factors to prevent strokes and recommend regular screening and treatment of identified risk factors. This will reduce the burden of stroke in SA.

scholarly journals Circulating prolactin level is increased in metabolically healthy obesity

2021 ◽  
Vol 10 (4) ◽  
pp. 484-491
Author(s):  
Jia Liu ◽  
Lin Zhang ◽  
Jing Fu ◽  
Qiu Wang ◽  
Guang Wang
Keyword(s):  
Insulin Resistance ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Energy Metabolism ◽  
Logistic Regression Analysis ◽  
Multivariable Logistic Regression Analysis ◽  
Multivariate Linear Regression Analysis ◽  
Metabolically Healthy Obesity ◽  
Multivariable Logistic Regression ◽  
Metabolically Healthy

Objective Prolactin (PRL) has been demonstrated as a metabolic hormone to regulate energy metabolism recently. The present study aims to investigate the association between PRL and metabolic alterations in different obesity phenotypes. Methods A total of 451 drug-naive participants were recruited, comprising 351 obese patients and 100 age- and sex-matched healthy participants with normal weight. PRL, anthropometric, and clinical parameters were measured. Results In the obesity group, 15.1% (53/351) were categorized as 'metabolically healthy obesity (MHO)'. Besides favorable blood pressure, glucose, and lipids profiles, the MHO group exhibited increased PRL, and lower levels of high-sensitivity C-reactive protein (hsCRP), homeostasis model assessment of insulin resistance (HOMA-IR), and adipose tissue insulin resistance (adipo-IR) than the metabolically unhealthy obesity (MUHO) group (PRL, HOMA-IR, and adipo-IR: P < 0.01; hsCRP: P < 0.05). The severe MUHO group showed significantly decreased PRL levels than the mild MUHO group (P < 0.05). Multivariate linear regression analysis indicated that fasting plasma glucose (FBG) and adipo-IR were significantly associated with PRL (FBG: β = −0.263, P < 0.05; adipo-IR: β = −0.464, P < 0.01). Multivariable logistic regression analysis showed that hsCRP (OR = 0.824) and PRL (OR = 1.211) were independent predictors of MHO (all P < 0.01). Conclusion The MHO group had significantly increased circulating PRL levels when compared with the control and MUHO groups, and multivariable logistic regression analysis showed that PRL was independent predictors of MHO. Our findings suggested that increased circulating PRL might be a compensatory response for favoring energy metabolism during obesity.

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