Metabolomic analysis of peritoneal dialysis effluent

An apparatus, comprising:

• a processing circuit;
• and
• a memory coupled to the processing circuit, the memory comprising instructions that, when executed by the processing circuit, cause the processing circuit to:
• access a computational model trained using training data comprising biomarker information of peritoneal dialysis (PD) patients with known transport statuses to generate output comprising a transport status determination of a patient indicating the PD functionality of the peritoneal membrane of the patient based on input comprising biomarker information of the patient, wherein the biomarker information includes information on at least one of L-tryptophan, 2-methoxy-2-methylpopanoic acid, 2-hydroxy-3-methyl-butyric acid, L-glutamine, L-phenylalanine, L-leucine, L-serine, L-α-glycerophosphorylcholine, cis-cinnamic acid, L-tyrosine, uric acid, L-histidine, N1-acetylspermidine, L-isoleucine, 5′-methylthioadenosine, or 4-hydroxybenzoic acid;
• receive biomarker information of a patient from PD effluent of the patient following a PD treatment;
• determine the peritoneal transport status classification for the patient via providing the biomarker information to the computational model;
• and
• send a control signal to a dialysis machine to perform a dialysis treatment on the dialysis patient based on the peritoneal transport status classification of the patient profile information.

A non-transitory computer-readable storage medium having executable instructions stored thereon, which when executed by the processing circuit cause the processing circuit to:

• access a computational model trained using training data comprising biomarker information of peritoneal dialysis (PD) patients with known transport statuses to generate output comprising a transport status determination of a patient indicating the PD functionality of the peritoneal membrane of the patient based on input comprising biomarker information of the patient, wherein the biomarker information includes information on at least one of L-tryptophan, 2-methoxy-2-methylpopanoic acid, 2-hydroxy-3-methyl-butyric acid, L-glutamine, L-phenylalanine, L-leucine, L-serine, L-α-glycerophosphorylcholine, cis-cinnamic acid, L-tyrosine, uric acid, L-histidine, N1-acetylspermidine, L-isoleucine, 5′-methylthioadenosine, or 4-hydroxybenzoic acid;
• receive biomarker information of a patient from PD effluent of the patient following a PD treatment;
• determine the peritoneal transport status classification for the patient via providing the biomarker information to the computational model;
• and
• send a control signal to a dialysis machine to perform a dialysis treatment on the dialysis patient based on the peritoneal transport status classification of the patient profile information.