scholarly journals Fatty Liver is Associated with Low N-terminal pro-B-type Natriuretic Peptide in a Healthy Population: From the Kangbuk Samsung Health Study

2021 ◽  
Author(s):  
Hyo-In Choi ◽  
Mi Yeon Lee ◽  
Byeong Kil Oh ◽  
Seung Jae Lee ◽  
Jeong Gyu Kang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Regression Model ◽  
Natriuretic Peptide ◽  
Abdominal Ultrasound ◽  
Health Study ◽  
Large Set ◽  
Model Assessment ◽  
Multivariable Regression Model ◽  
Multivariable Regression ◽  
The Impact

Abstract BackgroundFatty liver (FL), insulin resistance (IR), and obesity often coexist, but data on the independent impacts of these factors on N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels in healthy populations are scarce. We therefore examined the impact of FL, IR and obesity on NT-proBNP levels using a large set of cross-sectional data.MethodsThe associations of FL, IR and obesity with NT-proBNP were analyzed in 39,923 healthy adult participants using Kangbuk Samsung Health Study data. IR was estimated using homeostasis model assessment-estimated insulin resistance (HOMA-IR) index. A multivariable regression model that adjusted for factors that influence NT-proBNP was conducted to identify associations between NT-proBNP and FL on abdominal ultrasound. ResultsA total of 11,704 (29.3%) individuals had FL on abdominal ultrasound. FL, IR and obesity showed independent inverse associations with NT-proBNP after multiple adjustments for baseline characteristics. In a multivariable regression model adjusting for IR and obesity, FL was independently associated with lower levels of NT-proBNP (odds ratio 0.864, 0.849 - 0.880). The combination of FL and IR was a powerful dual predictor, lowering NT-proBNP levels approximately 25% in the generally healthy study population.ConclusionIn this large sample of healthy individuals, FL was independently associated with lower NT-proBNP levels. FL and a high HOMA-IR index are a powerful predictor combination for lower NT-proBNP levels. Further research is needed to elucidate the mechanism underlying the association between FL and NT-proBNP.

scholarly journals Fatty Liver Is Associated with Low N-Terminal Pro-B-Type Natriuretic Peptide in a Healthy Population

2021 ◽  
Vol 10 (7) ◽  
pp. 1402
Author(s):  
Hyo-In Choi ◽  
Mi Yeon Lee ◽  
Byeong Kil Oh ◽  
Seung Jae Lee ◽  
Jeong Gyu Kang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Fatty Liver ◽  
Regression Model ◽  
Natriuretic Peptide ◽  
Healthy Population ◽  
Large Set ◽  
Model Assessment ◽  
Multivariable Regression Model ◽  
Multivariable Regression ◽  
The Impact

Fatty liver (FL), insulin resistance (IR) and obesity often coexist, but data on the independent impacts of these factors on N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels are scarce. We examined the impact of FL, IR and obesity on NT-proBNP levels using a large set of cross-sectional data. The associations of FL, IR and obesity with NT-proBNP were analyzed in 39,923 healthy adult participants. IR was estimated using a homeostasis model assessment-estimated insulin resistance (HOMA-IR) index. A multivariable regression model was conducted to identify associations between NT-proBNP and FL on abdominal ultrasound. FL, IR and obesity showed independent inverse associations with NT-proBNP after multiple adjustments for baseline characteristics. In a multivariable regression model adjusting for IR and obesity, FL was independently associated with lower levels of NT-proBNP (estimates, Exp(β) 0.864, 0.849–0.880). The combination of FL and IR was a powerful dual indicator, lowering NT-proBNP levels approximately 25% in the generally healthy study population. In conclusion, FL was independently associated with lower NT-proBNP levels. FL and a high HOMA-IR index are a powerful indicator combination for lower NT-proBNP levels. Further research is needed to elucidate the mechanism underlying the association between FL and NT-proBNP.

The Effect of the Marketing Strategy in Performance of the Pharmaceutical Sector

2017 ◽  
pp. 278-289
Author(s):  
Irene Samanta
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Regression Model ◽  
Marketing Strategy ◽  
Pharmaceutical Sector ◽  
Pharmaceutical Firms ◽  
Organizational Benefits ◽  
Multivariable Regression Model ◽  
Multivariable Regression ◽  
The Impact

The aim of this research is to examine the impact of Marketing Strategy possesses in pharmaceutical sector in Greece and define the competitive and organizational benefits accumulate from the procedure. A quantitative survey was conducted with a sample of pharmaceutical firms. The method used is Factor analysis and a Multivariable Regression Model in order to forecast the total performance of the organization. The importance of the Marketing Strategy in the current economic conditions provides a practical indication of marketing decision making and if managed carefully and closely monitored it can offer a number of direct competitive benefits to the industries.

scholarly journals Insulin Resistance as a Predictor of Cardiovascular Disease in Patients on peritoneal dialysis

2013 ◽  
Vol 33 (4) ◽  
pp. 411-418 ◽  
Author(s):  
Yun Li ◽  
Lihua Zhang ◽  
Yong Gu ◽  
Chuanming Hao ◽  
Tongying Zhu
Keyword(s):  
Insulin Resistance ◽  
Peritoneal Dialysis ◽  
Independent Predictor ◽  
Hazard Ratio ◽  
Diabetic Patients ◽  
Model Assessment ◽  
Mortality Hazard ◽  
Cv Disease ◽  
The Impact ◽  
Mortality Hazard Ratio

BackgroundInsulin resistance is associated with multiple risk factors for cardiovascular (CV) disease in the general population. Patients on peritoneal dialysis (PD) are more likely to develop insulin resistance. However, no evaluation of the impact of insulin resistance on CV disease morbidity or mortality in patients on PD has been performed.MethodsOur prospective cohort study included all non-diabetic patients on PD at our center ( n = 66). Insulin resistance was evaluated at baseline by the homeostasis model assessment method (HOMA-IR) using fasting glucose and insulin levels. The cohort was followed for up to 58 months (median: 41.3 months; interquartile range: 34.3 months). A multivariate Cox model was used to analyze the impact of insulin resistance on CV disease mortality.ResultsFourteen CV events occurred in the higher HOMA-IR group [IR-H (HOMA-IR values in the range 2.85 – 19.5), n = 33], but only one event occurred in the lower HOMA-IR group (IR-L (HOMA-IR values in the range 0.83 – 2.71), n = 33) during the follow-up period. Level of HOMA-IR was a significant predictor of CV events [risk ratio: 17.7; 95% confidence interval (CI): 2.10 to 149.5; p = 0.008]. In the IR-H group, 10 patients died (8 CV events), but in the IR-L group, only 4 patients died (1 CV event). Patients in the IR-H group experienced significantly higher CV mortality (hazard ratio: 9.02; 95% CI: 1.13 to 72.2; p = 0.04). Even after adjustments for age, systolic blood pressure, body mass index, C-reactive protein, triglycerides, resistin, and leptin, HOMA-IR remained an independent predictor of CV mortality (hazard ratio: 14.8; 95% CI: 1.22 to 179.1; p = 0.03).ConclusionsInsulin resistance assessed using HOMA-IR was an independent predictor of CV morbidity and mortality in a cohort of nondiabetic patients on PD. Insulin resistance is a modifiable risk factor; the reduction of insulin resistance may reduce CV risk and improve survival in this group of patients.

Distribution of HOMA-IR in a population-based cohort and proposal for reference intervals

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Bassel Matli ◽  
Andreas Schulz ◽  
Thomas Koeck ◽  
Tanja Falter ◽  
Johannes Lotz ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Fasting Glucose ◽  
Reference Group ◽  
Reference Interval ◽  
Population Based ◽  
Reference Intervals ◽  
Health Study ◽  
Specific Reference ◽  
Model Assessment ◽  
Significant Difference

Abstract Objectives Insulin resistance (IR) is a hallmark of type 2 diabetes mellitus (DM). The homeostatic model assessment of insulin resistance (HOMA-IR) provides an estimate for IR from fasting glucose and insulin serum concentrations. The aim of this study was to obtain a reference interval for HOMA-IR for a specific insulin immunoassay. Methods The Gutenberg Health Study (GHS) is a population-based, prospective, single-center cohort study in Germany with 15,030 participants aged 35–74 years. Fasting glucose, insulin, and C-peptide were available in 10,340 participants. HOMA-IR was calculated in this group and three reference subgroups with increasingly more stringent inclusion criteria. Age- and sex-dependent distributions of HOMA-IR and reference intervals were obtained. In a substudy three insulin assays were compared and HOMA-IR estimated for each assay. Results Among the 10,340 participants analyzed there were 6,590 non-diabetic, 2,901 prediabetic, and 849 diabetic individuals. Median (interquartile range [IQR]) HOMA-IR was 1.54 (1.13/2.19), 2.00 (1.39/2.99), and 4.00 (2.52/6.51), respectively. The most stringently selected reference group consisted of 1,065 persons. Median (IQR) HOMA-IR was 1.09 (0.85/1.42) with no significant difference between men and women. The 97.5th percentile was 2.35. There was a non-significant trend towards higher values with older age. Comparison of three immunoassays for insulin showed an unsatisfactory correlation among the assays and systematic differences in calculated HOMA-IR. Conclusions We present HOMA-IR reference intervals for adults derived by more or less stringent selection criteria for the reference cohort. In addition we show that assay specific reference intervals for HOMA-IR are required.

Relation of insulin resistance to neurocognitive function and electroencephalography in obese children

2017 ◽  
Vol 30 (10) ◽  
Author(s):  
Onur Akın ◽  
İbrahim Eker ◽  
Mutluay Arslan ◽  
Süleyman Tolga Yavuz ◽  
Sevil Akman ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Central Nervous System ◽  
Nervous System ◽  
Healthy Children ◽  
Model Assessment ◽  
Obese Children ◽  
Neurocognitive Functions ◽  
The Central Nervous System ◽  
Biochemical Indices ◽  
The Impact

AbstractBackground:Childhood obesity may lead to neuronal impairment in both the peripheral and the central nervous system. This study aimed to investigate the impact of obesity and insulin resistance (IR) on the central nervous system and neurocognitive functions in children.Methods:Seventy-three obese children (38 male and 35 female) and 42 healthy children (21 male and 21 female) were recruited. Standard biochemical indices and IR were evaluated. The Wechsler Intelligence Scale for Children-Revised (WISC-R) and electroencephalography (EEG) were administered to all participants. The obese participants were divided into two groups based on the presence or absence of IR, and the data were compared between the subgroups.Results:Only verbal scores on the WISC-R in the IR+ group were significantly lower than those of the control and IR– groups. There were no differences between the groups with respect to other parameters of the WISC-R or the EEG. Verbal scores of the WISC-R were negatively correlated with obesity duration and homeostatic model assessment-insulin resistance (HOMA-IR) values. EEGs showed significantly more frequent ‘slowing during hyperventilation’ (SDHs) in obese children than non-obese children.Conclusions:Neurocognitive functions, particularly verbal abilities, were impaired in obese children with IR. An early examination of cognitive functions may help identify and correct such abnormalities in obese children.

Influence of Insulin Resistance on the Association Between Physical Activity and Heart Rate Variability: The Toon Health Study

2020 ◽  
Vol 17 (11) ◽  
pp. 1075-1082
Author(s):  
Isao Saito ◽  
Koutatsu Maruyama ◽  
Tadahiro Kato ◽  
Yasunori Takata ◽  
Kiyohide Tomooka ◽  
...  
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Frequency Standard ◽  
Population Based ◽  
Health Study ◽  
Model Assessment ◽  
Partial Regression Coefficient ◽  
Validated Questionnaire

Background: Autonomic activity is possibly influenced by physical activity (PA). However, it remains unclear whether this association is modified by insulin resistance. Methods: This population-based study between 2009 and 2012 included 2016 men and women aged 30–79 years. The PA was assessed using a validated questionnaire based on sleep, occupation, transportation, household characteristics, and leisure-time PA. Heart rate (HR) and heart rate variability (HRV) in the sitting position were determined from 5-minute recordings of pulse waves detected by a fingertip sensor. The HRV was calculated as frequency (standard deviation of normal-to-normal [NN] intervals [SDNN]), root mean square of successive differences (RMSSD), and percentage differences between normal NN intervals >50 milliseconds [pNN50]) and time domains. Insulin resistance was evaluated using the homeostasis model assessment index (HOMA-IR). Results: HR, RMSSD, and pNN50 were related to the total and moderate/vigorous PA tertiles in models that included HOMA-IR. The partial regression coefficient of total PA per 1-SD increase was .05 (P = .019) for log-transformed RMSSD and 1.86 (P = .001) for pNN50. No interactive associations were observed between PA and HOMA-IR. Conclusions: Low total PA was associated with increased HR and low levels of RMSSD and pNN50, reflecting parasympathetic modulation that was not modified by insulin resistance.

scholarly journals Short-Term Air Quality Prediction Based on Fractional Grey Linear Regression and Support Vector Machine

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Meng Dun ◽  
Zhicun Xu ◽  
Yan Chen ◽  
Lifeng Wu
Keyword(s):  
Air Quality ◽  
Regression Model ◽  
Hybrid Model ◽  
Air Pollutants ◽  
Support Vector ◽  
Support Vector Regression Model ◽  
Air Quality Prediction ◽  
Multivariable Regression Model ◽  
Multivariable Regression ◽  
The Mean

To predict the daily air pollutants, the fractional multivariable model is established. The hybrid model of the grey multivariable regression model with fractional order accumulation model (FGM(0, m)) and support vector regression model (SVR) is used to predict the air pollutants (PM10, PM2.5, and NO2) from December 31, 2018, to January 3, 2019, in Shijiazhuang and Chongqing. The absolute percentage errors (APEs) are used to determine the weights of the FGM(0, m) and SVR. Meanwhile, the Holt–Winters model is used to predict the air quality pollutants for the same location and period. When the mean absolute percent error (MAPE) is 0%–20%, it indicates that the model has good accuracy of fitting and prediction. The MAPE of the hybrid model is less than 20%. It is shown that except for the PM2.5 concentration prediction in Shijiazhuang (13.7%), the MAPE between the forecasting and actual values of the three air pollutants in Shijiazhuang and Chongqing was less than 10%.

scholarly journals Homeostatic Model Assessment of Insulin Resistance for Predicting the Recurrence of Hepatocellular Carcinoma after Curative Treatment

2019 ◽  
Vol 20 (3) ◽  
pp. 605 ◽  
Author(s):  
Kenji Imai ◽  
Koji Takai ◽  
Tatsunori Hanai ◽  
Atsushi Suetsugu ◽  
Makoto Shiraki ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Insulin Resistance ◽  
Curative Treatment ◽  
Diabetic Patients ◽  
Model Assessment ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Significant Difference ◽  
The Impact ◽  
Hcc Recurrence

Diabetes mellitus (DM) is a risk factor for hepatocellular carcinoma (HCC). The purpose of this study was to investigate the impact of the disorder of glucose metabolism on the recurrence of HCC after curative treatment. Two hundred and eleven patients with HCC who received curative treatment in our hospital from 2006 to 2017 were enrolled in this study. Recurrence-free survival was estimated using the Kaplan–Meier method, and the differences between the groups partitioned by the presence or absence of DM and the values of hemoglobin A1c (HbA1c), fasting plasma glucose (FPG), fasting immunoreactive insulin (FIRI), and homeostasis model assessment-insulin resistance (HOMA-IR) were evaluated using the log-rank test. There were no significant differences in the recurrence-free survival rate between the patients with and without DM (p = 0.144), higher and lower levels of HbA1c (≥6.5 and <6.5%, respectively; p = 0.509), FPG (≥126 and <126 mg/dL, respectively; p = 0.143), and FIRI (≥10 and <10 μU/mL, respectively; p = 0.248). However, the higher HOMA-IR group (≥2.3) had HCC recurrence significantly earlier than the lower HOMA-IR group (<2.3, p = 0.013). Moreover, there was a significant difference between the higher and lower HOMA-IR groups without DM (p = 0.009), and there was no significant difference between those groups with DM (p = 0.759). A higher HOMA-IR level, particularly in non-diabetic patients, was a significant predictor for HCC recurrence after curative treatment.

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