Nutritional Assessment of Hemodialysis Patients Aged Over 65 Years: Outcome of a Cross-Sectional Survey Conducted in the Well-Equipped Hemodialysis Center of the Cahors Hospital, France

Guéye, Serigne; Meryam, Abouamrane; Dahri, S.; Clement, Kounde; Illiassou, Soumeila; Meryem, Dridat; Etienne, Ged; Allal, Asma; Rostaing, Lionel; Kane, Yaya; Mohamed, Seck Sidy

doi:10.4172/2161-0959.1000305

Cited by 2 publications

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Multifactor model for the association between time-averaged serum albumin and clinical factors of hemodialysis patients based on the whale optimization algorithm (Preprint)

Yang¹,

Moi²,

Chen³

et al. 2020

Preprint

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BACKGROUND Time-averaged serum albumin (TSA) is commonly associated with clinical outcomes in hemodialysis (HD) patients and considered a surrogate indicator of nutritional status. Whale optimization (WO)-based feature selection algorithm could address the challenges associated with the complex characteristics of multifactor interactions and could be combined with regression models. OBJECTIVE The present study aimed to demonstrate an optimal multifactor TSA-associated model, which could be applied in the interpretation of the association between TSA and clinical factors in HD patients. METHODS A total of 829 HD patients who met the inclusion criteria were analyzed. Monthly serum albumin data tracked from January 2009 to December 2013 were converted into TSA categories based on a critical value of 3.5 g/dL. Multivariate logistic regression was used to analyze the association between TSA categories and multiple clinical factors using three types of feature selection models, namely the fully adjusted model, stepwise model, and whale optimization algorithm (WOA) model. RESULTS The WOA yielded the lowest Akaike Information Criterion (AIC) value, which indicated that the WOA could achieve superior performance in multifactor analysis when compared to the fully adjusted and stepwise models. The significant features in the optimal multifactor TSA-associated model included age, creatinine, potassium, and HD adequacy index (Kt/V level). CONCLUSIONS The WOA algorithm could select five features from 15 clinical factors, which is the minimum number of selected features required in multivariate regression models for optimal multifactor model construction to achieve high model performance. Therefore, the application of the optimal multifactor TSA-associated model could facilitate nutritional status monitoring in HD patients. CLINICALTRIAL All data were retrospectively collected using an approved data protocol (201800595B0) with a waiver of informed consent from patients.

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Multifactor model for the association between time-averaged serum albumin and clinical factors of hemodialysis patients based on the whale optimization algorithm (Preprint)

Yang¹,

Moi²,

Chen³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

Identifying the Association of Time-Averaged Serum Albumin Levels with Clinical Factors among Patients on Hemodialysis Using Whale Optimization Algorithm

et al. 2022

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Time-averaged serum albumin (TSA) is commonly associated with clinical outcomes in hemodialysis (HD) patients and considered as a surrogate indicator of nutritional status. The whale optimization algorithm-based feature selection (WOFS) model could address the complex association between the clinical factors, and could further combine with regression models for application. The present study aimed to demonstrate an optimal multifactor TSA-associated model, in order to interpret the complex association between TSA and clinical factors among HD patients. A total of 829 HD patients who met the inclusion criteria were selected for analysis. Monthly serum albumin data tracked from January 2009 to December 2013 were converted into TSA categories based on a critical value of 3.5 g/dL. Multivariate logistic regression was used to analyze the association between TSA categories and multiple clinical factors using three types of feature selection models, namely the fully adjusted, stepwise, and WOFS models. Five features, albumin, age, creatinine, potassium, and HD adequacy index (Kt/V level), were selected from fifteen clinical factors by the WOFS model, which is the minimum number of selected features required in multivariate regression models for optimal multifactor model construction. The WOFS model yielded the lowest Akaike information criterion (AIC) value, which indicated that the WOFS model could achieve superior performance in the multifactor analysis of TSA for HD patients. In conclusion, the application of the optimal multifactor TSA-associated model could facilitate nutritional status monitoring in HD patients.

show abstract

Nutritional Assessment of Hemodialysis Patients Aged Over 65 Years: Outcome of a Cross-Sectional Survey Conducted in the Well-Equipped Hemodialysis Center of the Cahors Hospital, France

Cited by 2 publications

References 0 publications

Multifactor model for the association between time-averaged serum albumin and clinical factors of hemodialysis patients based on the whale optimization algorithm (Preprint)

Multifactor model for the association between time-averaged serum albumin and clinical factors of hemodialysis patients based on the whale optimization algorithm (Preprint)

Identifying the Association of Time-Averaged Serum Albumin Levels with Clinical Factors among Patients on Hemodialysis Using Whale Optimization Algorithm

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