Inverse association of diabetes and dialysis with the severity of femoropopliteal lesions and chronic total occlusion: a cross-sectional study of 2056 cases

Abstract Background This study aimed to reveal the association of diabetes mellitus and dialysis-dependent renal failure with the lesion severity and chronic total occlusion (CTO) in patients undergoing femoropopliteal endovascular therapy for intermittent claudication. Methods This multicenter retrospective study analyzed the data of 2056 consecutive patients with moderate to severe intermittent claudication, who underwent endovascular therapy for de novo lesions in the superficial femoral artery to the proximal popliteal artery between 2010 and 2018 at five cardiovascular centers in Japan. The association of the clinical characteristics with severity of the lesions, as assessed by the Trans-Atlantic Inter-Society Consensus (TASC) II classification, was investigated using the ordinal logistic regression model. Their association with CTO, lesion length, and severity of calcifications was additionally analyzed using the binomial logistic regression model. Results The prevalence of diabetes mellitus and dialysis-dependent renal failure was 54.7% and 21.4%, respectively; 12.5% of the patients had lesions corresponding to TASC II class D, and 39.3% of the patients had CTO. Current smoking and severe claudication were associated with more severe lesions assessed according to the TASC II classification; diabetes mellitus and dialysis dependence were inversely associated with disease severity. The adjusted odds ratios of diabetes mellitus and dialysis dependence were 0.82 (95% confidence interval 0.70–0.97; p = 0.018) and 0.76 (0.62–0.94; p = 0.009), respectively. Diabetes mellitus and dialysis dependence were also inversely associated with CTO (both p < 0.05). Furthermore, diabetes mellitus was inversely associated with a long lesion (p < 0.05). Diabetes mellitus and dialysis dependence were positively associated with severe calcification (both p < 0.05). Conclusions Diabetes mellitus and dialysis-dependent renal failure were inversely associated with the lesion severity, as assessed by the TASC II classification, and CTO in patients undergoing femoropopliteal endovascular therapy for intermittent claudication.

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Determinants of success of coronary angioplasty in patients with a chronic total occlusion: a multiple logistic regression model to improve selection of patients.

Heart ◽

10.1136/hrt.70.2.126 ◽

1993 ◽

Vol 70 (2) ◽

pp. 126-131 ◽

Cited By ~ 69

Author(s):

K H Tan ◽

N Sulke ◽

N A Taub ◽

E Watts ◽

S Karani ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Coronary Angioplasty ◽

Chronic Total Occlusion ◽

Logistic Regression Model ◽

Multiple Logistic Regression ◽

Total Occlusion ◽

Multiple Logistic Regression Model ◽

Selection Of Patients ◽

Selection Of

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Logistic regression model as classifier for early detection of gestational diabetes mellitus

International Journal of Computer Aided Engineering and Technology ◽

10.1504/ijcaet.2019.098139 ◽

2019 ◽

Vol 11 (2) ◽

pp. 174

Author(s):

Priya Shirley Muller ◽

M. Nirmala

Keyword(s):

Diabetes Mellitus ◽

Logistic Regression ◽

Early Detection ◽

Gestational Diabetes ◽

Gestational Diabetes Mellitus ◽

Regression Model ◽

Logistic Regression Model

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Prevalence of, and risk factors for, cognitive impairment in lacunar stroke

International Journal of Stroke ◽

10.1177/17474930211064965 ◽

2022 ◽

pp. 174749302110649

Author(s):

Laura Ohlmeier ◽

Stefania Nannoni ◽

Claudia Pallucca ◽

Robin B Brown ◽

Laurence Loubiere ◽

...

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Logistic Regression ◽

Cognitive Impairment ◽

Regression Model ◽

Logistic Regression Model ◽

Full Time ◽

Lacunar Stroke ◽

Stroke Patients ◽

Increased Risk

Background: Small vessel disease (SVD) is associated with vascular cognitive impairment (VCI) but why VCI occurs in some, but not other patients, is uncertain. We determined the prevalence of, and risk factors for, VCI in a large cohort of patients with lacunar stroke. Methods: Participants with magnetic resonance imaging (MRI)-confirmed lacunar stroke were recruited in the multicenter DNA Lacunar 2 study and compared with healthy controls. A logistic regression model was used to determine which vascular risk factors and MRI parameters were independent predictors of VCI, assessed using the Brief Memory and Executive Test (BMET). Results: A total of 912 lacunar stroke patients and 425 controls were included, with mean ( SD) age of 64.6 (12.26) and 64.7 (12.29) years, respectively. VCI was detected in 38.8% lacunar patients and 13.4% controls. In a logistic regression model, diabetes mellitus (odds ratio (OR) = 1.98 (95% confidence interval (CI) = 1.40–2.80), p < 0.001) and higher body mass index (BMI) (OR = 1.03 (95% CI = 1.00–1.05), p = 0.029) were independently associated with increased risk of VCI, and years of full-time education with lower risk (OR = 0.92 (95% CI = 0.86–0.99), p = 0.018). When entering both lacune count and white matter hyperintensity (WMH) in the same logistic regression model, only WMH grade was significantly associated with VCI (OR = 1.46 (95% CI = 1.24–1.72), p < 0.001). Conclusion: VCI is common in lacunar stroke patients, affecting almost 40%. This prevalence suggests that it should be routinely screened for in clinical practice. Risk factors for VCI in patients with lacunar stroke include diabetes mellitus, depressive symptoms, higher BMI, and WMH severity, while education is protective.

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Association of Common Genetic Risk Variants With Gestational Diabetes Mellitus and Their Role in GDM Prediction

Frontiers in Endocrinology ◽

10.3389/fendo.2021.628582 ◽

2021 ◽

Vol 12 ◽

Author(s):

Polina V. Popova ◽

Alexandra A. Klyushina ◽

Lyudmila B. Vasilyeva ◽

Alexandra S. Tkachuk ◽

Elena A. Vasukova ◽

...

Keyword(s):

Diabetes Mellitus ◽

Logistic Regression ◽

Gestational Diabetes ◽

Gestational Diabetes Mellitus ◽

Regression Model ◽

Genetic Risk ◽

Logistic Regression Model ◽

C Statistic ◽

Risk Variants ◽

Genetic Risk Variants

ObjectiveWe aimed to explore the associations between common genetic risk variants with gestational diabetes mellitus (GDM) risk in Russian women and to assess their utility in the identification of GDM cases.MethodsWe conducted a case-control study including 1,142 pregnant women (688 GDM cases and 454 controls) enrolled at Almazov National Medical Research Centre. The International Association of Diabetes and Pregnancy Study Groups criteria were used to diagnose GDM. A total of 11 single- nucleotide polymorphisms (SNPs), including those in HKDC1 (rs10762264), GCK (rs1799884), MTNR1B (rs10830963 and rs1387153), TCF7L2 (rs7903146 and rs12255372), KCNJ11 (rs5219), IGF2BP2 (rs4402960), IRS1 (rs1801278), FTO (rs9939609), and CDKAL1 (rs7754840) were genotyped using Taqman assays. A logistic regression model was used to calculate odds ratios (ORs) and their confidence intervals (CIs). A simple-count genetic risk score (GRS) was calculated using 6 SNPs. The area under the receiver operating characteristic curve (c-statistic) was calculated for the logistic regression model predicting the risk of GDM using clinical covariates, SNPs that had shown a significant association with GDM in our study, GRS, and their combinations.ResultsTwo variants in MTNR1B (rs1387153 and rs10830963) demonstrated a significant association with an increased risk of GDM. The association remained significant after adjustment for age, pre-gestational BMI, arterial hypertension, GDM in history, impaired glucose tolerance, polycystic ovary syndrome, family history of diabetes, and parity (P = 0.001 and P < 0.001, respectively). After being conditioned by each other, the effect of rs1387153 on GDM predisposition weakened while the effect of rs10830963 remained significant (P = 0.004). The risk of GDM was predicted by clinical variables (c-statistic 0.712, 95 % CI: 0.675 – 0.749), and the accuracy of prediction was modestly improved by adding GRS to the model (0.719, 95 % CI 0.682 – 0.755), and more by adding only rs10830963 (0.729, 95 % CI 0.693 – 0.764).ConclusionAmong 11 SNPs associated with T2D and/or GDM in other populations, we confirmed significant association with GDM for two variants in MTNR1B in Russian women. However, these variants showed limited value in the identification of GDM cases.

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Single Nucleotide Polymorphisms Associated with Metformin and Sulphonylureas’ Glycaemic Response among South African Adults with Type 2 Diabetes Mellitus

Journal of Personalized Medicine ◽

10.3390/jpm11020104 ◽

2021 ◽

Vol 11 (2) ◽

pp. 104

Author(s):

Charity Masilela ◽

Brendon Pearce ◽

Joven Jebio Ongole ◽

Oladele Vincent Adeniyi ◽

Mongi Benjeddou

Keyword(s):

Diabetes Mellitus ◽

Logistic Regression ◽

Combination Therapy ◽

Regression Model ◽

South African ◽

Logistic Regression Model ◽

Model Analysis ◽

Glycaemic Response ◽

Genotype Combination

Aims: To examine the association of polymorphisms belonging to SLC22A1, SP1, PRPF31, NBEA, SCNN1B, CPA6 and CAPN10 genes with glycaemic response to metformin and sulphonylureas (SU) combination therapy among South African adults with diabetes mellitus type 2 (T2DM). Methods: A total of 128 individuals of Swati (n = 22) and Zulu (n = 106) origin attending chronic care for T2DM were recruited. Nine SNPs previously associated with metformin and SUs were selected and genotyped using MassArray. Uncontrolled T2DM was defined as HbA1c > 7%. The association between genotypes, alleles and glycaemic response to treatment was determined using multivariate logistic regression model analysis. Results: About 85.93% (n = 110) of the study participants were female and 77.34% (n = 99) had uncontrolled T2DM (HbA1c > 7%). In the multivariate (adjusted) logistic regression model analysis, the CC genotype of rs2162145 (CPA6), GG and GA genotypes of rs889299 (SCNN1B) were significantly associated with uncontrolled T2DM. On the other hand, the C allele of rs254271 (PRPF31) and the GA genotype of rs3792269 (CAPN10) were associated with controlled T2DM. A significant interaction between rs2162145 and rs889299 in response to metformin and SU combination therapy was observed. Conclusions: In this study, we reported the association of rs2162145 (CC) and rs889299 (GG and GA) with uncontrolled T2DM. We also reported the association of rs254271 (C) and rs3792269 (GA) with controlled T2DM in response to metformin and SU combination therapy. Furthermore, an interaction between rs2162145 and rs889299 was established, where the genotype combination GA (rs889299) and TT (rs2162145) was associated with uncontrolled T2DM.

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Insulin Resistance and Contrainsular Response in Type 2 Diabetes Mellitus Patients with Acute Coronary Syndrome

Open Access Macedonian Journal of Medical Sciences ◽

10.3889/oamjms.2020.4674 ◽

2020 ◽

Vol 8 (B) ◽

pp. 943-948

Author(s):

Dinara Sheryazdanova ◽

Yelena M. Laryushina ◽

Larissa Muravlyova ◽

Lyudmila G. Turgunova ◽

Assel R. Alina ◽

...

Keyword(s):

Diabetes Mellitus ◽

Insulin Resistance ◽

Acute Coronary Syndrome ◽

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Diabetic Patients ◽

Positive Correlation ◽

Coronary Syndrome

BACKGROUND: The number of patients with diabetes mellitus (DM) is progressively increasing all over the world. Over the past three decades, the global burden of diabetes has increased from 30 million in 1985 to 382 million in 2015, and current trends indicate that the prevalence of diabetes grows progressively. The phenomenon of insulin resistance established in the majority of type 2 DM (T2DM) patients. T2DM is associated with β-cell deficiency, α-cell resistance to insulin, and reduced effects of incretin. However, the role of insulin and glucagon in the process of cardiovascular complications in diabetic patients is a matter of debate. AIM: Our study aims to estimate insulin resistance and the contrainsular response in patients with T2DM and acute coronary syndrome (ACS). METHODS: The 104 T2DM patients aged 18–70 years participated in the observational study carried out in the Karaganda regional cardiosurgery hospital and ambulatory. The first group included 37 patients hospitalized for ACS in the first 24 h of admission. The second group included 67 patients without ACS. Determination of insulin resistance and contrainsular response was provided using a multiplex immunological assay with XMap technology on Bioplex 3D. RESULTS: During the research, we have discovered a decreased level of glucagon and increased homeostasis model assessment of insulin resistance (HOMA-IR) in patients with T2DM diabetes and ACS. Evaluation of traditional correlation interactions of HOMA-IR and indicators of carbohydrate metabolism showed a positive correlation with fasting plasma glucose in both study groups (Group 1: R = 0.47, p = 0.003; Group 2: R = 0.41, p = 0.024). Glucagon-like peptide (GLP)-1 has a weak positive correlation with HOMA-IR only in the first group (R = 0.32, p = 0.006). Increased insulin resistance was associated with high GLP-1 levels and low glucagon. The logistic regression model established that an increased HOMA-IR index rises the chance of ACS by 10.6% (OR = 1.106 [95% CI 1.105–1.206], p = 0,021). The logistic regression model, reflecting the relation between glucagon and ACS, shows that increased glucagon reduces the ACS odds (OR = 0.989 [95% CI 0.979–0.999], p = 0.026). The adjusted regression model showed no significant influence of early presented factors on the probability of ACS. CONCLUSION: There is a trend toward elevated HOMA-IR insulin resistance index and decreased level of glucagon in diabetic patients with ACS.

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