Modeling patients' methylmalonic acid levels using probabilistic fuzzy systems

Almeida, Rui Jorge; Loon, Saskia van; Kaymak, Uzay; Wilbik, Anna; Scharnhorst, Volkher; Boer, Arjen‐Kars

doi:10.1109/fuzz-ieee.2017.8015766

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…25–27 Other attempts used an inductive approach by applying non-statistical data mining techniques, resulting in less intuitive models as obtained by the deductive statistical approach presented here. 28,29…”

Section: Discussionmentioning

confidence: 99%

Improved testing for vitamin B₁₂ deficiency: correcting MMA for eGFR reduces the number of patients classified as vitamin B₁₂ deficient

et al. 2018

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Background Methylmalonic acid (MMA) can detect functional vitamin B deficiencies as it accumulates early when intracellular deficits arise. However, impaired clearance of MMA from blood due to decreased glomerular filtration rate (eGFR) also results in elevated plasma MMA concentrations. Alternative to clinical trials, a data mining approach was chosen to quantify and compensate for the effect of decreased eGFR on MMA concentration. Methods Comprehensive data on patient's vitamin B, eGFR and MMA concentrations were collected ( n = 2906). The relationship between vitamin B, renal function (eGFR) and MMA was modelled using weighted multiple linear regression. The obtained model was used to estimate the influence of decreased eGFR on MMA. Clinical impact was examined by comparing the number of patients labelled vitamin B deficient with and without adjustment in MMA. Results Adjusting measured MMA concentrations for eGFR in the group of patients with low-normal vitamin B concentrations (90-300 pmol/L) showed that the use of unadjusted MMA concentrations overestimates vitamin B deficiency by 40%. Conclusions Through a data mining approach, the influence of eGFR on the relation between MMA and vitamin B can be quantified and used to correct the measured MMA concentration for decreased eGFR. Especially in the elderly, eGFR-based correction of MMA may prevent over-diagnosis of vitamin B deficiency and corresponding treatment.

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Section: Discussionmentioning

confidence: 99%

Improved testing for vitamin B₁₂ deficiency: correcting MMA for eGFR reduces the number of patients classified as vitamin B₁₂ deficient

et al. 2018

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Forecasting Directional Change Uncertainty Using Probabilistic Fuzzy Systems

Almeida

Baştürk

2018

2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Analysis of biomarkers and composite scores in IBD patients using probabilistic fuzzy systems

Adriaans

Almeida

Jonkers

et al. 2022

2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Modeling patients' methylmalonic acid levels using probabilistic fuzzy systems

Cited by 3 publications

References 14 publications

Improved testing for vitamin B₁₂ deficiency: correcting MMA for eGFR reduces the number of patients classified as vitamin B₁₂ deficient

Improved testing for vitamin B₁₂ deficiency: correcting MMA for eGFR reduces the number of patients classified as vitamin B₁₂ deficient

Forecasting Directional Change Uncertainty Using Probabilistic Fuzzy Systems

Analysis of biomarkers and composite scores in IBD patients using probabilistic fuzzy systems

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Modeling patients' methylmalonic acid levels using probabilistic fuzzy systems

Cited by 3 publications

References 14 publications

Improved testing for vitamin B12 deficiency: correcting MMA for eGFR reduces the number of patients classified as vitamin B12 deficient

Improved testing for vitamin B12 deficiency: correcting MMA for eGFR reduces the number of patients classified as vitamin B12 deficient

Forecasting Directional Change Uncertainty Using Probabilistic Fuzzy Systems

Analysis of biomarkers and composite scores in IBD patients using probabilistic fuzzy systems

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Product

Resources

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Improved testing for vitamin B₁₂ deficiency: correcting MMA for eGFR reduces the number of patients classified as vitamin B₁₂ deficient

Improved testing for vitamin B₁₂ deficiency: correcting MMA for eGFR reduces the number of patients classified as vitamin B₁₂ deficient