scholarly journals Association Between Dietary Inflammatory Index and Heart Failure: Results From NHANES (1999–2018)

2021 ◽  
Vol 8 ◽  
Author(s):  
Zuheng Liu ◽  
Haiyue Liu ◽  
Qinsheng Deng ◽  
Changqing Sun ◽  
Wangwei He ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Random Forest ◽  
Dietary Intervention ◽  
Beta Carotene ◽  
Cerebrovascular Diseases ◽  
Dietary Inflammatory Index ◽  
Random Forest Analysis ◽  
Inflammatory Index ◽  
Dietary Magnesium

Objective: To explore the relationship between dietary inflammatory index (DII) and heart failure (HF) in participants with cardiovascular and cerebrovascular diseases.Methods: NHANES (1998–2018) data were collected and used to assess the association of HF with DII. Twenty-four-hour dietary consumptions were used to calculate the scores of DII. Demographic characteristics and physical and laboratory examinations were collected for the comparison between HF and non-HF groups. Logistic regression analysis and random forest analysis were performed to calculate the odds rate and determine the potential beneficial dietary components in HF.Results: A total of 19,067 cardiac-cerebral vascular disease participants were categorized as HF (n = 1,382; 7.25%) and non-HF (n = 17,685; 92.75%) groups. Heart failure participants had higher levels of DII score compared with those in the non-HF group (0.239 ± 1.702 vs. −0.145 ± 1.704, p < 0.001). Compared with individuals with T1 (DII: −3.884 to −0.570) of DII, those in T3 (DII: 1.019 to 4.598) had a higher level of total cholesterol (4.49 ± 1.16 vs. 4.75 ± 1.28 mmol/L, p < 0.01), globulin (29.92 ± 5.37 vs. 31.29 ± 5.84 g/L, p < 0.001), and pulse rate (69.90 ± 12.22 vs. 72.22 ± 12.77, p < 0.001) and lower levels of albumin (40.76 ± 3.52 vs. 39.86 ± 3.83 g/L, p < 0.001), hemoglobin (13.76 ± 1.65 vs. 13.46 ± 1.77 g/dl, p < 0.05), and hematocrit (40.83 ± 4.69 vs. 40.17 ± 5.01%, p < 0.05). The odds rates of HF for DII from the logistic regression were 1.140, 1.158, and 1.110 in models 1, 2, and 3, respectively. In addition, from the results of random forest analysis, dietary magnesium, fiber, and beta carotene may be essential in HF.Conclusion: Dietary inflammatory index was positively associated with HF in US adults, and dietary intervention might be a promising method in the therapy of HF.

scholarly journals Dietary Inflammatory Index Is Related to Heart Failure Risk and Cardiac Function: A Case–Control Study in Heart Failure Patients

2021 ◽  
Vol 8 ◽  
Author(s):  
Jalal Moludi ◽  
Nitin Shivappa ◽  
Soghra Alisgharzadeh ◽  
James R. Hébert ◽  
Mohammad Alizadeh
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Conditional Logistic Regression ◽  
Case Control ◽  
Left Ventricular ◽  
Dietary Intakes ◽  
Dietary Inflammatory Index ◽  
Inflammatory Index ◽  
Significant Difference ◽  
Control Study

Aims: Previous studies suggest that diet and inflammation are important risk factors for heart failure (HF); however, the associations remain unclear. The Dietary Inflammatory Index (DII®) was established to measure the inflammatory capacity of individuals' diet. This study aimed to explore the DII in HF subjects compared with controls.Methods and Results: We conducted a case–control (116 cases and 113 controls) study that recruited in the similar clinics. DII scores were calculated based on dietary intakes. N-Terminal pro-brain natriuretic peptide (NT-proBNP) levels and ejection fraction (EF) were assessed in both groups. In order to analyze DII scores with HF as the outcome, we used conditional logistic regression. A linear regression was applied to explore the associations between the DII and left ventricular EF (LVEF).There was statistically significant difference in DII scores in cases vs. controls (−0.16 ± 1.37 vs. −0.33 ± 1.67; p = 0.040). Conditional logistic regression has shown that subjects with higher DII scores had higher risk of HF. For every one-point rise in DII score, the odds of having HF increased by 30% (OR: 1.30; CI: 1.03, 1.69; p = 0.047). The EF was inversely associated with saturated fatty acid (β = −0.34, 95% CI: −0.61, −0.07; p = 0.012). Subjects with higher DII scores had higher NT-proBNP levels and had lower EF.Conclusion: The DII score was associated with high probability of HF. It appears that consumption of anti-inflammatory diet may lead to the prevention of HF and therefore suggests that dietary modification with the goal of reducing DII scores could be a valuable strategy for improving clinical outcomes in these patients.

scholarly journals East Slavic indefinite pronouns: a corpus-based approach

2021 ◽  
Author(s):  
Yana Penkova ◽  
Achim Rabus
Keyword(s):  
Logistic Regression ◽  
Random Forest ◽  
Statistical Methods ◽  
Multinomial Logistic Regression ◽  
Random Forest Analysis ◽  
Functional Distribution ◽  
Different Sources ◽  
National Corpus ◽  
Indefinite Pronouns

AbstractThe paper focuses on the development and functional distribution of indefinite pronouns in Old East Slavic, taking into account different sources, genres and registers. All the examples in the collected dataset were taken from the historical modules of the Russian National Corpus. They were tagged for type of indefinite marker, source (including originality and date), type of reference of the indefinite marker, semantics, type of discourse, and the degree of formality (formal or informal) present in the context. We then applied both descriptive and inferential statistical methods such as Random Forest analysis as well as multinomial logistic regression. Our analysis enabled us to identify the primary and secondary predictors of the choice of a particular indefinite marker and to trace the functional distribution of indefinite markers according to these factors.

scholarly journals Association Between Diet-Related Inflammation and COPD: Findings From NHANES III

2021 ◽  
Vol 8 ◽  
Author(s):  
Haiyue Liu ◽  
Xilan Tan ◽  
Zuheng Liu ◽  
Xiaobo Ma ◽  
Yanqing Zheng ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Intervention Strategy ◽  
Nhanes Iii ◽  
Chronic Obstructive ◽  
Dietary Inflammatory Index ◽  
Odds Ratios ◽  
Obstructive Pulmonary Disease ◽  
Inflammatory Index ◽  
Health And Nutrition ◽  
Over 40 Years

Background and Aims: Little is known about diet-related inflammation in chronic obstructive pulmonary disease (COPD). In this study, we aimed to explore the association between COPD and dietary inflammatory index (DII) scores in adults over 40 years old.Methods: Data were obtained from the 2013 to 2018 National Health and Nutrition Examination Survey (NHANES). In the present study, 9,929 participants were included and analyzed. The DII score was calculated and divided into tertiles. Logistic regression analysis was performed to determine the odds ratios of DII tertiles.Results: Participants were categorized into COPD (565, 5.69%) and non-COPD groups (9,364, 94.31%) according to interview information. COPD individuals had higher DII scores than non-COPD individuals (0.429 ± 1.809 vs. −0.191 ± 1.791, p < 0.001). The highest DII score tertile included 46.55% of COPD individuals was associated with lower family incomes and education and a higher smoking rate (p < 0.01). The odds ratios (95% CIs) of COPD according to logistic regression were 0.709 (0.512–0.982) for T1 and 0.645 (0.475–0.877) for T2 of the DII score (p = 0.011).Conclusion: Higher DII scores were positively correlated with COPD in participants over 40 years old. These results further support that diet can be used as an intervention strategy for COPD management.

scholarly journals Prediction of long-term hospitalisation and all-cause mortality in patients with chronic heart failure on Dutch claims data: a machine learning approach

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Onno P. van der Galiën ◽  
René C. Hoekstra ◽  
Muhammed T. Gürgöze ◽  
Olivier C. Manintveld ◽  
Mark R. van den Bunt ◽  
...  
Keyword(s):  
Machine Learning ◽  
Heart Failure ◽  
Logistic Regression ◽  
Chronic Heart Failure ◽  
Random Forest ◽  
Elastic Net ◽  
Claims Database ◽  
All Cause Mortality ◽  
Health Insurance Claims

Abstract Background Accurately predicting which patients with chronic heart failure (CHF) are particularly vulnerable for adverse outcomes is of crucial importance to support clinical decision making. The goal of the current study was to examine the predictive value on long term heart failure (HF) hospitalisation and all-cause mortality in CHF patients, by exploring and exploiting machine learning (ML) and traditional statistical techniques on a Dutch health insurance claims database. Methods Our study population consisted of 25,776 patients with a CHF diagnosis code between 2012 and 2014 and one year and three years follow-up HF hospitalisation (1446 and 3220 patients respectively) and all-cause mortality (2434 and 7882 patients respectively) were measured from 2015 to 2018. The area under the receiver operating characteristic (ROC) curve (AUC) was calculated after modelling the data using Logistic Regression, Random Forest, Elastic Net regression and Neural Networks. Results AUC rates ranged from 0.710 to 0.732 for 1-year HF hospitalisation, 0.705–0.733 for 3-years HF hospitalisation, 0.765–0.787 for 1-year mortality and 0.764–0.791 for 3-years mortality. Elastic Net performed best for all endpoints. Differences between techniques were small and only statistically significant between Elastic Net and Logistic Regression compared with Random Forest for 3-years HF hospitalisation. Conclusion In this study based on a health insurance claims database we found clear predictive value for predicting long-term HF hospitalisation and mortality of CHF patients by using ML techniques compared to traditional statistics.

scholarly journals A Traditional Korean Diet with a Low Dietary Inflammatory Index Increases Anti-Inflammatory IL-10 and Decreases Pro-Inflammatory NF-κB in a Small Dietary Intervention Study

Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2468
Author(s):  
Phil-Kyung Shin ◽  
Seon-Joo Park ◽  
Myung Sunny Kim ◽  
Dae Young Kwon ◽  
Min Jung Kim ◽  
...  
Keyword(s):  
Dietary Intervention ◽  
Control Diet ◽  
Diet Group ◽  
Control Group ◽  
Low Grade ◽  
Dietary Inflammatory Index ◽  
Obese Women ◽  
Inflammatory Index ◽  
Animal Fat ◽  
Anti Inflammatory

Chronic low-grade inflammation may increase the risk of chronic disease, while diets rich in anti-inflammatory components may reduce it. To determine the anti-inflammatory properties of the traditional Korean diet (K-diet) that comprises high amounts of vegetables, fiber and phytochemicals, moderate amounts of legumes, and low amounts of animal fat, ten obese women aged 50–60 years were randomly assigned to the K-diet or control diet group. The control diet was a Westernized Korean diet commonly consumed in Korea, which is high in animal fat and protein. Subjects were housed in metabolic unit-like conditions during the 2-week intervention. Plasma was collected before and after the intervention to measure inflammatory cytokines using ELISA. The dietary inflammatory index (DII) was calculated based on nutrients and food intake. The DII score for the K-diet was lower than that of the control diet (−0.94 ± 1.39 vs. 1.04 ± 1.61, p < 0.001). In the K-diet group, anti-inflammatory interleukin (IL)-10 levels increased (4.45 ± 0.34 pg/mL vs. 5.94 ± 0.33 pg/mL, p = 0.0102), whereas pro-inflammatory nuclear factor kappa B (NF-κB) levels decreased (7.70 ± 0.62 pg/mL vs. 2.71 ± 0.49 pg/mL, p = 0.0015), but not in the control group. In the K-diet group, NF-κB levels negatively correlated with IL-10 levels (r = −0.794, p = 0.006). The K-diet has anti-inflammatory properties, and IL-10 and NF-κB are putative inflammatory markers for K-diet studies.

scholarly journals Model for predicting heart failure using Random Forest and Logistic Regression algorithms

2021 ◽  
Vol 1208 (1) ◽  
pp. 012039
Author(s):  
Vedran Grgić ◽  
Denis Mušić ◽  
Elmir Babović
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Logistic Regression ◽  
Feature Selection ◽  
Random Forest ◽  
Feature Selection Method ◽  
Selection Method ◽  
Random Forest Algorithm ◽  
Regression Algorithms ◽  
Significant Factors

Abstract The paper analyzes the cardiovascular parameters of patients with heart disease. The aim of this study was to predict death in a patient with cardiovascular disease based on 12 parameters, using Random Forest and Logistic Regression algorithms. Parameters were tuned for both algorithms to determine the best settings. The most significant factors in the process predicted were found using the FEATURE SELECTION method of both algorithms. By comparative analysis of the obtained results, the highest accuracy of 90% was obtained using the Random Forest Algorithm.

Effect of aggregate properties on asphalt pavement friction based on random forest analysis

2021 ◽  
Vol 292 ◽  
pp. 123467
Author(s):  
You Zhan ◽  
Joshua Qiang Li ◽  
Cheng Liu ◽  
Kelvin C.P. Wang ◽  
Dominique M. Pittenger ◽  
...  
Keyword(s):  
Random Forest ◽  
Asphalt Pavement ◽  
Random Forest Analysis ◽  
Aggregate Properties ◽  
Pavement Friction

Association between Dietary Inflammatory Index and kidney stones in US adults: Data from the NHANES 2007-2016

2021 ◽  
pp. 1-27
Author(s):  
Chichen Zhang ◽  
Shi Qiu ◽  
Haiyang Bian ◽  
Bowen Tian ◽  
Haoyuan Wang ◽  
...  
Keyword(s):  
National Health ◽  
Kidney Stones ◽  
Primary Outcome ◽  
Secondary Outcome ◽  
Nutrition Examination Survey ◽  
Dietary Inflammatory Index ◽  
Inflammatory Index ◽  
Health And Nutrition ◽  
Multivariate Adjustment ◽  
Increased Risk

Abstract Objective: We evaluate the association between the Dietary Inflammatory Index (DII) and kidney stones. Design: We performed a cross-sectional analysis using data from National Health and Nutrition Examination Survey. Dietary intake information was assessed using first 24-HR dietary recall interviews, and the Kidney Conditions was presented by questionnaire. The primary outcome was to investigate the association between DII and incidence of kidney stones, and the secondary outcome was to assess the association between DII and nephrolithiasis recurrence. Setting: The National Health and Nutrition Examination Survey (NHANES), 2007-2016. Participants: The study included 25984 NHANES participants, whose data on DII and kidney stones were available, of whom 2439 reported a history of kidney stones. Results: For the primary outcome, after fully multivariate adjustment, DII score is positively associated with the risk of kidney stones (OR = 1.07; 95% CI: [1.04–1.10]). Then, compared Q4 with Q1, a significant 38% increased likelihood of nephrolithiasis was observed. (OR=1.38; 95% CI: [1.19–1.60]). For the secondary outcome, the multivariate regression analysis showed that DII score is positively correlated with nephrolithiasis recurrence (OR=1.07; 95% CI: [1.00–1.15]). The results noted that higher DII scores (Q3 and Q4) are positively associated with a significant 48% and 61% increased risk of nephrolithiasis recurrence compared with the reference after fully multivariate adjustment. (OR=1.48; 95% CI: [1.07–2.05]; OR=1.61; 95% CI: [1.12–2.31]). Conclusions: Our findings revealed that increased intake of pro-inflammatory diet, as a higher DII score, is correlated with increased odds of kidney stones incidence and recurrence.

Sign in / Sign up

Export Citation Format

Share Document