scholarly journals Dietary energy requirements in relatively healthy maintenance hemodialysis patients estimated from long-term metabolic studies

2016 ◽  
Vol 103 (3) ◽  
pp. 757-765 ◽  
Author(s):  
Anuja Shah ◽  
Rachelle Bross ◽  
Bryan B Shapiro ◽  
Gillian Morrison ◽  
Joel D Kopple
Keyword(s):  
Hemodialysis Patients ◽  
Energy Requirements ◽  
Maintenance Hemodialysis ◽  
Dietary Energy ◽  
Metabolic Studies ◽  
Maintenance Hemodialysis Patients

scholarly journals An Analysis of Medication Adherence and Patient Preference in Long-term Stable Maintenance Hemodialysis Patients in Japan

2019 ◽  
Vol 58 (18) ◽  
pp. 2595-2603 ◽  
Author(s):  
Masaki Ohya ◽  
Yuko Iwashita ◽  
Satoko Kunimoto ◽  
Shuto Yamamoto ◽  
Toru Mima ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Patient Preference ◽  
Hemodialysis Patients ◽  
Maintenance Hemodialysis ◽  
Stable Maintenance ◽  
Maintenance Hemodialysis Patients

scholarly journals Long-term Antibody Response to the BNT162b2 Vaccine Among Maintenance Hemodialysis Patients

2021 ◽  
Author(s):  
Naomi Nacasch ◽  
Daniel Erez ◽  
Michael Lishner ◽  
Sydney Benchetrit ◽  
Ilan Rozenberg ◽  
...  
Keyword(s):  
Antibody Response ◽  
Hemodialysis Patients ◽  
Maintenance Hemodialysis ◽  
Maintenance Hemodialysis Patients

scholarly journals Personalized Prediction of Short- and Long-Term PTH Changes in Maintenance Hemodialysis Patients

2021 ◽  
Vol 8 ◽  
Author(s):  
Markus Pirklbauer ◽  
David A. Bushinsky ◽  
Peter Kotanko ◽  
Gudrun Schappacher-Tilp
Keyword(s):  
Mathematical Model ◽  
Hemodialysis Patients ◽  
Patient Specific ◽  
Maintenance Hemodialysis ◽  
Model Parameters ◽  
Short Term ◽  
Short Term Treatment ◽  
Patient Level ◽  
Maintenance Hemodialysis Patients

Background: Personalized management of secondary hyperparathyroidism is a critical part of hemodialysis patient care. We used a mathematical model of parathyroid gland (PTG) biology to predict (1) short-term peridialytic intact PTH (iPTH) changes in response to diffusive calcium (Ca) fluxes and (2) to predict long-term iPTH levels.Methods: We dialyzed 26 maintenance hemodialysis patients on a single occasion with a dialysate Ca concentration of 1.75 mmol/l to attain a positive dialysate-to-blood ionized Ca (iCa) gradient and thus diffusive Ca loading. Intradialytic iCa kinetics, peridialytic iPTH change, and dialysate-sided iCa mass balance (iCaMB) were assessed. Patient-specific PTG model parameters were estimated using clinical, medication, and laboratory data. We then used the personalized PTG model to predict peridialytic and long-term (6-months) iPTH levels.Results: At dialysis start, the median dialysate-to-blood iCa gradient was 0.3 mmol/l (IQR 0.11). The intradialytic iCa gain was 488 mg (IQR 268). Median iPTH decrease was 75% (IQR 15) from pre-dialysis 277 to post-dialysis 51 pg/ml. Neither iCa gradient nor iCaMB were significantly associated with peridialytic iPTH changes. The personalized PTG model accurately predicted both short-term, treatment-level peridialytic iPTH changes (r = 0.984, p < 0.001, n = 26) and patient-level 6-months iPTH levels (r = 0.848, p < 0.001, n = 13).Conclusions: This is the first report showing that both short-term and long-term iPTH dynamics can be predicted using a personalized mathematical model of PTG biology. Prospective studies are warranted to explore further model applications, such as patient-level prediction of iPTH response to PTH-lowering treatment.

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