scholarly journals Monocyte to High-Density Lipoprotein Ratio Is Associated With Early Neurological Deterioration in Acute Isolated Pontine Infarction

2021 ◽  
Vol 12 ◽  
Author(s):  
Xinwei Bi ◽  
Xiaoqian Liu ◽  
Jiaqi Cheng
Keyword(s):  
Logistic Regression ◽  
Blood Glucose ◽  
Odds Ratio ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Nihss Score ◽  
Early Neurological Deterioration ◽  
Pontine Infarction ◽  
Basilar Artery Stenosis ◽  
End Group

Objectives: The monocyte to high-density lipoprotein ratio (MHR) has been considered to be a novel inflammatory marker of atherosclerotic cardiovascular disease. However, its role in the acute phase of acute isolated pontine infarctions remains elusive. We explored whether an association existed between elevated MHR levels and early neurological deterioration (END) in patients with isolated pontine infarction.Methods: Data from 212 patients with acute isolated pontine infarction were retrospectively analyzed. We examined the MHR in quartiles of increasing levels to evaluate for possible threshold effects. END was defined as an elevation in the total National Institutes of Health Stroke Scale (NIHSS) score ≥2 or an increase in NIHSS score ≥1 in motor power within the first week after symptom onset. Patients were divided into an END group and a non-END group. The association of MHR on END following pontine infarction was examined by logistic regression models after adjusting for age, NIHSS at admission, basilar artery stenosis, history of hypertension or hyperlipidemia or stroke, infarct size, fasting blood glucose, and paramedian pontine infarction.Results: The mean MHR was 0.44 ± 0.22. A total of 58 (27.36%) patients were diagnosed with END. END occurred within the first 48 h after hospitalization in 38 patients (65.52%). After adjusting for confounding and risk factors, the multivariate logistic regression analysis showed NIHSS at admission [odds ratio (OR), 1.228; 95% confidence interval (CI), 1.036–1.456], basilar artery stenosis (OR, 2.843; 95% CI, 1.205–6.727), and fasting blood glucose (OR, 1.296; 95% CI, 1.004–1.672) were independently associated with END. The odds ratio of END increased as the quartile level of MHR increased, with the lowest quartile used as the reference value. Compared to the first quartile of MHR, the third and fourth quartiles were associated with 4.847-fold (95% CI, 1.532–15.336) and 5.824-fold (95% CI, 1.845–18.385) higher odds of END in multivariate analysis.Conclusions: Elevated MHR levels may be valuable as a biomarker of END in patients with isolated pontine infarction. The elevated MHR was independently associated with END in isolated pontine infarction.

scholarly journals Predictive models for diabetes mellitus using machine learning techniques

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Hang Lai ◽  
Huaxiong Huang ◽  
Karim Keshavjee ◽  
Aziz Guergachi ◽  
Xin Gao
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Blood Glucose ◽  
Random Forest ◽  
Decision Tree ◽  
High Density Lipoprotein ◽  
Predictive Models ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein

Abstract Background Diabetes Mellitus is an increasingly prevalent chronic disease characterized by the body’s inability to metabolize glucose. The objective of this study was to build an effective predictive model with high sensitivity and selectivity to better identify Canadian patients at risk of having Diabetes Mellitus based on patient demographic data and the laboratory results during their visits to medical facilities. Methods Using the most recent records of 13,309 Canadian patients aged between 18 and 90 years, along with their laboratory information (age, sex, fasting blood glucose, body mass index, high-density lipoprotein, triglycerides, blood pressure, and low-density lipoprotein), we built predictive models using Logistic Regression and Gradient Boosting Machine (GBM) techniques. The area under the receiver operating characteristic curve (AROC) was used to evaluate the discriminatory capability of these models. We used the adjusted threshold method and the class weight method to improve sensitivity – the proportion of Diabetes Mellitus patients correctly predicted by the model. We also compared these models to other learning machine techniques such as Decision Tree and Random Forest. Results The AROC for the proposed GBM model is 84.7% with a sensitivity of 71.6% and the AROC for the proposed Logistic Regression model is 84.0% with a sensitivity of 73.4%. The GBM and Logistic Regression models perform better than the Random Forest and Decision Tree models. Conclusions The ability of our model to predict patients with Diabetes using some commonly used lab results is high with satisfactory sensitivity. These models can be built into an online computer program to help physicians in predicting patients with future occurrence of diabetes and providing necessary preventive interventions. The model is developed and validated on the Canadian population which is more specific and powerful to apply on Canadian patients than existing models developed from US or other populations. Fasting blood glucose, body mass index, high-density lipoprotein, and triglycerides were the most important predictors in these models.

scholarly journals Liver fat content is independently associated with microalbuminuria in a normotensive, euglycaemic Chinese population: a community-based, cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e044237
Author(s):  
Xiaoming Li ◽  
Mingfeng Xia ◽  
Hui Ma ◽  
Yu Hu ◽  
Hongmei Yan ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Blood Glucose ◽  
Density Lipoprotein ◽  
Fat Content ◽  
Lipoprotein Cholesterol ◽  
Liver Fat ◽  
Community Based ◽  
Liver Fat Content ◽  
Cross Sectional ◽  
Multivariable Logistic Regression

ObjectiveNon-alcoholic fatty liver disease (NAFLD) is associated with microalbuminuria (MA) in patients with diabetes/pre-diabetes. Whether this association is mediated by blood glucose and blood pressure (BP) remains unclear. This study investigated whether liver fat content (LFC) was associated with MA in a normotensive and non-diabetic population.DesignA cross-sectional substudy.SettingsLFC was determined from the hepatic/renal echogenicity ratio at ultrasound. MA was defined as an albumin-to-creatinine ratio (ACR) of 30–300 µg/mg (early- morning urine sample). Multivariable logistic regression and receiver operating characteristic (ROC) curve analyses were used to evaluate LFC as a predictor of MA.ParticipantsBetween May 2010 and June 2011, this cross-sectional, community-based study enrolled residents from Shanghai (China), aged ≥40 years and with normal glucose tolerance and BP.ResultsA total of 550 residents (median age, 57 years; 174 men) were enrolled and stratified according to LFC quartiles. ACR (p<0.001) and MA prevalence (p=0.012) increased across the LFC quartiles. Multivariable logistic regression showed that the OR for MA (per SD increase in LFC) was 1.840 (95% CI 1.173 to 2.887, p=0.008) after adjustment for potential confounders including age, gender, waist-hip ratio, blood urea nitrogen, systolic and diastolic BP, fasting blood glucose, postprandial glucose, low-density lipoprotein-cholesterol, triglycerides, high-density lipoprotein-cholesterol, total cholesterol, estimated glomerular filtration rate and lipid-lowering drugs. The ROC analysis revealed that the optimal LFC cut-off value for predicting MA was 6.82%.ConclusionLFC is independently associated with MA in normotensive, euglycaemic middle-aged and elderly Chinese individuals. Screening for MA in people with NAFLD might facilitate early intervention to minimise kidney disease risk.

scholarly journals ASSOCIATION BETWEEN BLOOD LIPID PROFILE AND BLOOD GLUCOSE LEVELS IN MEN WITH CORONARY HEART DISEASE, METABOLIC SYNDROME, AND TYPE 2 DIABETES MELLITUS

2013 ◽  
Vol 12 (5) ◽  
pp. 29-33
Author(s):  
S. A. Matveeva
Keyword(s):  
Blood Glucose ◽  
Lipid Profile ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Lipoprotein Cholesterol ◽  
Blood Lipid Profile ◽  
Glucose Levels ◽  
Blood Glucose Levels

Aim.To study the associations between blood lipid profile and blood glucose levels in men with coronary heart disease (CHD), stable effort angina (SEA), metabolic syndrome (MS), and Type 2 diabetes mellitus (DM-2).Material and methods.The study included 82 men (mean age 50,5±0,9 years) with CHD, Functional Class I–III SEA, MS, and DM-2. The following lipid profile parameters were assessed: total cholesterol (TCH), triglycerides (TG), low-density lipoprotein cholesterol (LDL–CH), very low-density lipoprotein cholesterol (VLDL–CH), high-density lipoprotein cholesterol (HDL–CH), atherogenic index (AI), and triglyceride index (TGI), together with fasting blood glucose.Results.There were positive (direct) associations between higher levels (>90th percentile) of lipid profile parameters (TCH, TG, LDL–CH, VLDL– CH, HDL–CH, AI, TGI) and blood glucose, as well as between lower levels (≤10th percentile) of lipid profile parameters (TCH, TG, LDL–CH, VLDL– CH, AI, TGI) and blood glucose. At the same time, there were negative (inverse) associations between lower lipid levels (≤10th percentile of TCH, TG, LDL–CH, VLDL–CH, HDL–CH, AI, TGI) and higher glucose levels (>90th percentile), as well as between higher lipid levels (>90th percentile of TCH, TG, LDL–CH, VLDL–CH, HDL–CH, AI, TGI) and lower glucose levels (≤10th percentile).Conclusion.Dyslipidemia and hyperglycemia demonstrate synergetic proatherogenic effects in patients with CHD, SEA, MS, and DM-2, as suggested by significant heterogeneous (direct and inverse) associations between lipid profile parameters and fasting blood glucose. The results obtained provide an opportunity for the assessment of risk levels, prognosis, and need for pharmacological prevention and treatment in patients with combined cardiovascular pathology. 

scholarly journals The Role of Bioactive Compounds from Dietary Spices in the Management of Metabolic Syndrome: An Overview

Nutrients ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 175
Author(s):  
Dana Hasan Alkhatib ◽  
Abdul Jaleel ◽  
Maryam Naveed Muhammad Tariq ◽  
Jack Feehan ◽  
Vasso Apostolopoulos ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Blood Glucose ◽  
Dietary Supplements ◽  
Bioactive Compounds ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Preventive Measure ◽  
Blood Lipid ◽  
Lifestyle Changes

Metabolic syndrome (MetS) is a combination of physiologically dysregulated parameters that can include elevated fasting blood glucose, high blood pressure, central obesity, increased triglyceride levels, insulin resistance, diabetes, elevated low density lipoprotein levels, and reduced high density lipoprotein levels in the blood. Effective clinical management of MetS is critical as it is strongly associated with long lasting and fatal complications in patients. Alongside standard care of lifestyle changes and medication, dietary supplements derived from herbal resources could be an alternative therapeutic strategy that is safe, efficient, culturally acceptable, and has few side effects. Of the dietary supplements, spicy foods have always been considered a great source of functional bioactive compounds. Herbal therapy is broadly used in many countries as a treatment or as a preventive measure in the management of MetS risk factors, including blood glucose, blood pressure, and blood lipid levels. Herein, an attempt is made to evaluate the recent studies in the management of MetS with herbal alternatives, and to explore the possibility of their use as therapeutic treatments or supplements.

scholarly journals Effects of Marine Drug Propylene Glycol Alginate Sodium Sulfate on Glucose and Lipid Metabolism in Mice

2021 ◽  
Vol 58 (2) ◽  
pp. 150-154
Author(s):  
Haiyue Liang ◽  
Qun Liu ◽  
Yonghong Xiu
Keyword(s):  
Lipid Metabolism ◽  
Blood Glucose ◽  
Sodium Sulfate ◽  
Glycosylated Hemoglobin ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Control Group ◽  
Distilled Water ◽  
Glucose And Lipid Metabolism ◽  
Propylene Glycol Alginate

Previous studies have shown that marine drug propylene glycol alginate sodium sulfate (PSS) plays important roles in human diseases. This study mainly explored the effects of PSS on hyperglycemia and hyperlipidemia in diabetic db/db mouse models. The db/db mice were randomly divided into 5 groups (n=12), which were model control group (distilled water), positive control group (metformin), PSS low, medium, and high dose groups (PSS25, PSS50, PSS100) and normal control group (C57/BL, distilled water). The mice in each group had free diet and water for 90 days. During the experiment, food intake was recorded every day and body weight was recorded weekly. In addition, fasting blood glucose and glycosylated hemoglobin levels were measured regularly. Finally, the contents of triglyceride (TG), low-density lipoprotein (LDL-c), high-density lipoprotein (HDL-c) and total cholesterol (TC) in the serum of mice were determined. PSS can significantly reduce fasting blood glucose and glycosylated hemoglobin levels in db/db mice, and improve insulin sensitivity. Moreover, PSS can reduce the fat accumulation of db/db mice and significantly improve the blood lipid level of db/db mice. PSS can significantly improve the symptoms of glucose and lipid metabolism disorders in db/db mice.

scholarly journals Relationship Between Unbound Bilirubin Levels and Acute Bilirubin Encephalopathy in Exchange Transfusion Neonates

2021 ◽  
Author(s):  
Yiyi Ding ◽  
Shuo Wang ◽  
Rui Guo ◽  
Aizhen Zhang ◽  
Yufang Zhu
Keyword(s):  
Logistic Regression ◽  
Blood Glucose ◽  
Odds Ratio ◽  
Exchange Transfusion ◽  
Binary Logistic Regression ◽  
P Value ◽  
Bilirubin Encephalopathy ◽  
Unbound Bilirubin ◽  
Independent Variable ◽  
The Relationship

Abstract BACKGROUND: Evidence regarding the relationship between unbound bilirubin levels and acute bilirubin encephalopathy was limited. Therefore, this study set out to investigate whether the unbound bilirubin level was independently related to acute bilirubin encephalopathy in children who underwent exchange transfusion after adjusting for other covariates. METHODS: A total of 46 neonates who underwent exchange transfusion were involved in The First People's Hospital Of Changde City in China from 2016-1-1 to 2018-12-31. The target independent variable and the dependent variable were unbound bilirubin levels measured at baseline and acute bilirubin encephalopathy respectively. Covariates involved in this study included sex, age, birth weight, blood glucose, red blood cell, hemolysis, receive phototherapy before exchange transfusion. RESULTS: The average gestational age of 46 selected participants was 38.6 ± 1.3 weeks old, the average age was 146.5 ± 86.9 hours old, 52.17% of them were male. Result of fully-adjusted binary logistic regression showed unbound bilirubin levels were positively associated with risk of acute bilirubin encephalopathy after adjusting confounders (Odds ratio = 1.41, 95% confidence intervals 1.05-1.91, P value <0.05). CONCLUSION: Unbound bilirubin levels are associated with neonatal acute bilirubin encephalopathy. The mechanism of unbound bilirubin levels leading to neonatal acute bilirubin encephalopathy needs to be further explored.

scholarly journals Correlation between glycated hemoglobin HbA1c and serum lipid profile in patients with type 2 diabetes

2021 ◽  
pp. 14-18
Author(s):  
Asmaa Alboueishi
Keyword(s):  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Blood Glucose ◽  
Serum Lipid ◽  
Clinical Laboratory ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Diabetic Patients

Background: Hyperlipidemia is a common risk factor for diabetes that leads to cardiovascular disease, one of the causes of death of diabetic patients. Theaimof this study was to investigate the association between HbA1c levels and serum lipids in Libyan patients withtype 2 diabetes. Material and methods: The study was conducted in 2019 on 325 patients (174 males, 151 females) with type 2 diabetes referred to a private clinical laboratory in Tripoli, Libya. Blood samples were collected for measurement of HbA1c, fasting blood glucose and serum lipid concentrations. Diabetes was defined according to the American Diabetes Association criteria.The data were analyzed using an independent t-test and Pearson’scorrelation test.Results: The ages of the patients ranged from 40 to 83 years, with a mean of 51.52 ± 14.32 years SD. No significant correlation between HbA1c and age was noted (r=0.011, p=0.063). There was a significant positive correlation betweenHbA1c level and fasting blood glucose (r =0.641, p=0.000), low-density lipoprotein (r = 0.240, p = 0.000), total cholesterol (r = 0.223, p = 0.000) and triglycerides(r=0.140,p 0.067). The correlation between HbA1c and high-density lipoprotein-C was negative but not significant (r= -0.088, p = 0.123). Conclusion: HbA1c could be used as a predictor of dyslipidemia and thus it may serve as anindicator of the development of cardiovascular disease in patients with type-2 diabetes mellitus.

scholarly journals Determinants of Cardiovascular Disease among Urban Women with Psoriasis: A Case–Control Study

2020 ◽  
Vol 5 (02) ◽  
pp. 102-108 ◽  
Author(s):  
Sudha Bala ◽  
Archana Mavoori ◽  
Harshal Pandve ◽  
Chinmayee Biswal ◽  
Vijay Prasanna ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Blood Glucose ◽  
Waist Circumference ◽  
Case Control Study ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Case Control ◽  
Low Density ◽  
Control Study

Abstract Background and Aim Psoriasis have a direct impact on development of cardiovascular risk factors leading to atherosclerosis and metabolic abnormalities. In order to prevent the complications, early and prompt identification of factors through various parameters help in primary and secondary prevention of cardiovascular diseases (CVDs) among these psoriatic patients. Therefore the aim of this study is to determine the prevalence of various determinants for cardiovascular diseases among cases and controls. Methods A hospital based case control study at a tertiary care hospital included women from the out patient department, aged above 18 years who were known cases of psoriasis. 114 patients were recruited with 1:1 ratio between cases and controls. All patients were evaluated using semi structured interview schedule with socio demographic variables, duration of disease, family history, and usage of drugs. Severity of disease was assessed through the psoriasis area severity index (PASI). Body surface area (BSA), body mass index (BMI), waist circumference and blood pressure measurement were done using standard methods. Lipid profile, high sensitivity C-Reactive protein (HsCRP) and blood sugar through calibrated analyzers having quality control. Carotid intima media thickness (CIMT) was assessed by using carotid Doppler technique to measure atherosclerosis. Results One hundred fourteen patients, means 57 pairs of cases and controls were analyzed in this study. Significant determinants among cases were raised such as waist circumference (p = 0.025), diastolic blood pressure (p = 0.0001), low density lipoprotein (p = 0.002) and fasting blood glucose (p = 0.004) when compared to controls. HsCRP and CIMT were also raised among cases but only CIMT was statistically significant when compared to controls (p = 0.0001). We also found raised determinants among psoriatic arthritis patients compared to psoriasis. Conclusion Psoriasis patients had high waist circumference, diastolic blood pressure, low density lipoprotein, fasting blood glucose, and CIMT when compared to controls. Early identification of these determinants make them amenable for prevention.

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