scholarly journals Network Analysis of Demographics, Dietary Intake, and Comorbidity Interactions

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3563
Author(s):  
Tung Hoang ◽  
Jeonghee Lee ◽  
Jeongseon Kim

The aim of this study was to elucidate the complex interrelationships among dietary intake, demographics, and the risk of comorbidities. We applied a Gaussian graphical model to calculate the dietary scores of the participants. The network structure of dietary intake, demographics, and comorbidities was estimated in a mixed graphical model. The centrality indices of the nodes (strength (S), closeness (C), and betweenness (B)) were measured to identify the central node. Multinomial logistic regression was used to examine the association between the factors and comorbidities. Among 7423 participants, the strongest pairwise interactions were found between sex and smoking (1.56), sex and employment (0.66), sex and marital status (0.58), marital status and income (0.65), and age and employment (0.58). Among the factors in the network, sex played a central role (S = 4.63, C = 0.014, B = 41), followed by age (S = 2.81, C = 0.013, B = 18), smoking (S = 2.72, C = 0.013, B = 0), and employment (S = 2.17, C = 0.014, B = 22). While the odds of hypertension and diseases were significantly higher among females than males, an inverse association was observed between high cholesterol and moderate chronic kidney disease. Among these factors, dietary intake was not a strongly interacting factor in the network, whereas age was consistently associated with the comorbidities of hypertension, high cholesterol, diabetes, and chronic kidney disease.

2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Stacey A Fedewa ◽  
William M McClellan ◽  
Suzanne Judd ◽  
Orlando M Gutiérrez ◽  
Deidra C Crews

2010 ◽  
Vol 116 (3) ◽  
pp. c256-c262 ◽  
Author(s):  
Sinead Kinsella ◽  
Shawn Chavrimootoo ◽  
Michael G. Molloy ◽  
Joseph A. Eustace

2020 ◽  
Vol 9 (1) ◽  
pp. 25-28
Author(s):  
Ashkan Salamatipour ◽  
Tina Moazezi ◽  
Suha Moten ◽  
Laurie Anne Berg ◽  
Anis Abdul Rauf

2019 ◽  
Vol 316 (6) ◽  
pp. F1244-F1253 ◽  
Author(s):  
Tanushree Banerjee ◽  
Deidra C. Crews ◽  
Donald E. Wesson ◽  
Charles E. McCulloch ◽  
Kirsten L. Johansen ◽  
...  

Acid retention associated with reduced glomerular filtration rate (GFR) exacerbates nephropathy progression in partial nephrectomy models of chronic kidney disease (CKD) and might be reflected in patients with CKD with reduced estimated GFR (eGFR) by increased anion gap (AG). We explored the presence of AG and its association with CKD in 14,924 adults aged ≥20 yr with eGFR ≥ 15 ml·min−1·1.73 m−2 enrolled in the National Health and Nutrition Examination Survey III, 1988–1994, using multivariable regression analysis. The model was adjusted for sociodemographic characteristics, diabetes, and hypertension. We further examined the association between AG and incident end-stage renal disease (ESRD) using frailty models, adjusting for demographics, clinical factors, body mass index, serum albumin, bicarbonate, eGFR, and urinary albumin-to-creatinine ratio by following 558 adults with moderate CKD for 12 yr via the United States Renal Data System. Laboratory measures determined AG using the traditional, albumin-corrected, and full AG definitions. Individuals with moderate CKD (eGFR: 30–59 ml·min−1·1.73 m−2) had a greater AG than those with eGFR ≥ 60 ml·min−1·1.73 m−2 in multivariable regression analysis with adjustment for covariates. We found a graded relationship between the adjusted mean for all three definitions of AG and eGFR categories ( P trend < 0.0001). During followup, 9.2% of adults with moderate CKD developed ESRD. Those with AG in the highest tertile had a higher risk of ESRD after adjusting for covariates in a frailty model [relative hazard (95% confidence interval) for traditional AG: 1.76 (1.16–2.32)] compared with those in the middle tertile. The data suggest that high AG, even after adjusting for serum bicarbonate, is a contributing acid-base mechanism to CKD progression in adults with moderate chronic kidney disease.


2017 ◽  
Vol 10 ◽  
pp. 117864691769460 ◽  
Author(s):  
Subrata Debnath ◽  
Chakradhar Velagapudi ◽  
Laney Redus ◽  
Farook Thameem ◽  
Balakuntalam Kasinath ◽  
...  

Objective: Type 2 diabetes (T2D) is the primary case of chronic kidney disease (CKD). Inflammation is associated with metabolic dysregulation in patients with T2D and CKD. Tryptophan (TRP) metabolism may have relevance to the CKD outcomes and associated symptoms. We investigated the relationships of TRP metabolism with inflammatory markers in patients with T2D and CKD. Methods: Data were collected from a well-characterized cohort of type 2 diabetic individuals with all stages of CKD, including patients on hemodialysis. Key TRP metabolites (kynurenine [KYN], kynurenic acid [KYNA], and quinolinic acid [QA]), proinflammatory cytokines (tumor necrosis factor-α [TNF-α] and interleukin-6 [IL-6]), and C-reactive protein were measured in plasma. The KYN/TRP ratio was utilized as a surrogate marker for indoleamine 2,3-dioxygenase 1 (IDO1) enzyme activity. Results: There was a significant inverse association between circulating TRP level and stages of CKD ( P < 0.0001). Downstream bioactive TRP metabolites KYN, KYNA, and QA were positively and robustly correlated with the severity of kidney disease ( P < 0.0001). In multiple linear regression, neither TNF-α nor IL-6 was independently related to KYN/TRP ratio after adjusting for estimated glomerular filtration rate (eGFR). Only TNF-α was independently related to KYN after taking into account the effect of eGFR. Conclusions: Chronic kidney disease secondary to T2D may be associated with accumulation of toxic TRP metabolites due to both inflammation and impaired kidney function. Future longitudinal studies to determine whether the accumulation of KYN directly contributes to CKD progression and associated symptoms in patients with T2D are warranted.


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