Dietary inflammatory index and mortality in hemodialysis patients by path analysis approach (NUGE-HD study)

Balbino, Karla Pereira; Juvanhol, Leidjaira Lopes; Wendling, Aline Lage; Bressan, Josefina; Shivappa, Nitin; Hébert, James R.; H.H.M., Hermsdorff

doi:10.1016/j.nut.2021.111239

Cited by 5 publications

(4 citation statements)

References 42 publications

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“…Another cross-sectional study was done on 105 HD patients (57.5 years) at Turkish dialysis centers and suggested that DII was significantly correlated with the markers of malnutrition and inflammation (e.g., CRP) ( 16 ). A cohort study of 137 patients undergoing HD (61.7 years) revealed a direct association between DII and mortality during the 2-year follow-up ( 14 ). Another study among 532 adolescents (12–17 years old) in European countries also suggested a positive association between DII and sVCAM-1 ( 31 ).…”

Section: Discussionmentioning

confidence: 99%

“…It was shown that a pro-inflammatory diet, as indicated by a higher DII score, is associated with a higher prevalence of chronic kidney disease (CKD) and reduced kidney function ( 12 , 13 ). The dietary inflammatory index was also shown to be positively associated with higher rates of mortality in HD patients ( 14 ). Also, a diet with higher pro-inflammatory potential was suggested to be linked with lower quality of life in patients undergoing HD ( 15 ).…”

Section: Introductionmentioning

confidence: 99%

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Association between the dietary inflammatory index and markers of endothelial and systemic inflammation in hemodialysis patients

Arab,

Karimi,

Nazari

et al. 2023

Front. Nutr.

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ObjectivesThe current survey aimed to investigate the link between energy-adjusted dietary inflammatory index (E-DII) and risk factors for CVD including markers of endothelial and systemic inflammation in Iranian hemodialysis patients.MethodsPatients on hemodialysis for at least 6 months prior to enrollment were considered eligible in this cross-sectional study. The usual dietary intakes of the hemodialysis individuals were examined through 4 non-consecutive days including 2 dialysis days and 2 non-dialysis days using a 24-h recall approach to calculate E-DII. Multiple linear regression analysis was utilized to investigate the link between E-DII and selected biomarkers of inflammation and oxidative stress including high-sensitive C reactive protein (hs-CRP), serum intercellular adhesion molecule (sICAM), serum vascular cell adhesion molecule (sVCAM), malondialdehyde, and nitric oxide (NO), sE-selectin, and endothelin-1, and beta (β) and 95% confidence interval (CI) was reported. Value of p < 0.05 was considered statistically significant.ResultsOverall, 291 hemodialysis patients make up our study population. In the crude model, the E-DII score was positively associated with a higher sVCAM-1 (β = 177.39; 95% CI: 60.51, 294.26; ptrend = 0.003). Further adjustment for potential confounders attenuated the findings in a way that an increase of 128.72 in the sVCAM-1 was observed when the E-DII score increased from −2.68 to −1.14 (95% CI: 13.50, 243.94). After controlling for potential confounders, E-DII was associated with sE-selectin in hemodialysis patients in the highest category of E-DII as compared to the lowest category (β = 4.11; 95% CI: 0.22, 8.00; ptrend = 0.039).ConclusionThe present findings suggest that adherence to a pro-inflammatory diet among hemodialysis patients is associated with a higher inflammatory status as evidenced by sVCAM-1 and sE-selectin; however, bidirectionality may exist and the role of residual confounders should be taken into account. Therefore, more longitudinal investigations are needed to elucidate the role of diet on the inflammatory status of hemodialysis patients.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Association between the dietary inflammatory index and markers of endothelial and systemic inflammation in hemodialysis patients

Arab,

Karimi,

Nazari

et al. 2023

Front. Nutr.

View full text Add to dashboard Cite

show abstract

“…Previous studies have point out that nutrition and inflammatory are convincingly related to the outcomes of HD patients. [ 14 , 15 ] Anemia can contribute to ventricular hypertrophy, aggravating heart failure and myocardial ischemia, resulting in low immunity, increasing infection and other adverse complications, and connecting with the occurrence of CVD events ultimately, low quality of life, cognitive impairment and mortality. [ 16 ] Hypoalbuminemia is a manifestation of malnutrition, which weakens the immune response and makes infection more likely and also associated with inflammation in the body.…”

Section: Discussionmentioning

confidence: 99%

The hemoglobin, albumin, lymphocyte, and platelet (HALP) is a potent indicator for the prognosis in hemodialysis patients

Zhang

Shi

et al. 2023

Medicine

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The hemoglobin, albumin, lymphocyte, and platelet (HALP) values were marked as a original index of general nutritional and inflammatory conditions. The purpose of this investigation was to evaluate the potential relationship between HALP and prognosis in hemodialysis (HD) patients. Patients with maintenance HD from multiple dialysis centers in China were retrospectively analyzed. The primary poor outcome were cardiovascular disease (CVD) and all-cause death. The computational equation of HALP values as the follows: hemoglobin (g/L) × albumin (g/L) × lymphocytes (/L) / platelets (/L). All participants were divided into Tertile 1, Tertile 2, and Tertile 3 according to the tertiles of baseline HALP values. The Kaplan–Meier curve and the Cox regression was done to figure out the relationship about HALP and adverse outcomes. The restricted cubic splines further identified the possible associations. The time-dependent receiver operating characteristic curve and C-index were implemented for evaluate the predictive values of the HALP composite model. There were 4796 patients incorporate into ultimate study. Compared with patients in Tertile 1, patients in Tertile 3 had an lower risk of all-cause mortality [hazard ratios = 0.66, 95% confidence intervals: 0.49–0.86, P = .007] and CVD mortality [sub-distribution hazard ratio = 0.51, 95% confidence intervals: 0.34–0.80, P = .005]. The composite model with the supplement of HALP outperformed the traditional factor model in the time-dependent receiver operating characteristic curve. High HALP values at baseline are related to a diminished risk of CVD death and all-cause death in HD patients. HALP is a novel and potent index for the prognosis of HD patients.

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“…End-stage renal disease (ESRD) refers to the most severe stage of chronic kidney disease. At this stage, the glomerular filtration rate of the patient is less than 15 ml/min•(1.73 m 2 ), and the patient needs long-term dialysis or kidney transplantation to maintain life (Drew et al, 2017;Balbino et al, 2021). Studies have shown that patients with ESRD generally have accompanying symptoms of cognitive dysfunction, such as thinking retardation, insensitivity, inattention, and memory loss.…”

Section: Introductionmentioning

confidence: 99%

GWLS: A Novel Model for Predicting Cognitive Function Scores in Patients With End-Stage Renal Disease

Zhang

Zheng

et al. 2022

Front. Aging Neurosci.

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The scores of the cognitive function of patients with end-stage renal disease (ESRD) are highly subjective, which tend to affect the results of clinical diagnosis. To overcome this issue, we proposed a novel model to explore the relationship between functional magnetic resonance imaging (fMRI) data and clinical scores, thereby predicting cognitive function scores of patients with ESRD. The model incorporated three parts, namely, graph theoretic algorithm (GTA), whale optimization algorithm (WOA), and least squares support vector regression machine (LSSVRM). It was called GTA-WOA-LSSVRM or GWLS for short. GTA was adopted to calculate the area under the curve (AUC) of topological parameters, which were extracted as the features from the functional networks of the brain. Then, the statistical method and Pearson correlation analysis were used to select the features. Finally, the LSSVRM was built according to the selected features to predict the cognitive function scores of patients with ESRD. Besides, WOA was introduced to optimize the parameters in the LSSVRM kernel function to improve the prediction accuracy. The results validated that the prediction accuracy obtained by GTA-WOA-LSSVRM was higher than several comparable models, such as GTA-SVRM, GTA-LSSVRM, and GTA-WOA-SVRM. In particular, the root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) between the predicted scores and the actual scores of patients with ESRD were 0.92, 0.88, and 4.14%, respectively. The proposed method can more accurately predict the cognitive function scores of ESRD patients and thus helps to understand the pathophysiological mechanism of cognitive dysfunction associated with ESRD.

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Dietary inflammatory index and mortality in hemodialysis patients by path analysis approach (NUGE-HD study)

Cited by 5 publications

References 42 publications

Association between the dietary inflammatory index and markers of endothelial and systemic inflammation in hemodialysis patients

Association between the dietary inflammatory index and markers of endothelial and systemic inflammation in hemodialysis patients

The hemoglobin, albumin, lymphocyte, and platelet (HALP) is a potent indicator for the prognosis in hemodialysis patients

GWLS: A Novel Model for Predicting Cognitive Function Scores in Patients With End-Stage Renal Disease

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