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Mathematical model to predict B-type natriuretic peptide levels in haemodialysis patients

(2020) NEPHROLOGY. 25(1). p.82-89
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Abstract
Aim Clinical interpretation of B-type natriuretic peptide (BNP) levels in haemodialysis (HD) patients for fluid management remains elusive. Methods We conducted a retrospective observational monocentric study. We built a mathematical model to predict BNP levels, using multiple linear regressions. Fifteen clinical/biological characteristics associated with BNP variation were selected. A first cohort of 150 prevalent HD (from September 2015 to March 2016) was used to build several models. The best model proposed was internally validated in an independent cohort of 75 incidents HD (from March 2016 to December 2017). Results In cohort 1, mean BNP level was 630 +/- 717 ng/mL. Cardiac disease (CD - stable coronary artery disease and/or atrial fibrillation) was present in 45% of patients. The final model includes age, systolic blood pressure, albumin, CD, normo-hydrated weight (NHW) and the fluid overload (FO) assessed by bio-impedancemetry. The correlation between the measured and the predicted log-BNP was 0.567 and 0.543 in cohorts 1 and 2, respectively. Age (beta = 3.175e(-2),P < 0.001), CD (beta = 5.243e(-1),P < 0.001) and FO (beta = 1.227e(-1),P < 0.001) contribute most significantly to the BNP level, respectively, but within a certain range. We observed a logistic relationship between BNP and age between 30 and 60 years, after which this relationship was lost. BNP level was inversely correlated with NHW independently of CD. Finally, our model allows us to predict the BNP level according to the FO. Conclusion We developed a mathematical model capable of predicting the BNP level in HD. Our results show the complex contribution of age, CD and FO on BNP level.
Keywords
B-type natriuretic peptide, cardiovascular disease, dialysis, modelling, STAGE RENAL-DISEASE, HEART-FAILURE, DIALYSIS PATIENTS, BODY-COMPOSITION, FLUID OVERLOAD, MORTALITY, RISK, MASS, MARKER, IMPACT

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MLA
Touzot, Maxime, et al. “Mathematical Model to Predict B-Type Natriuretic Peptide Levels in Haemodialysis Patients.” NEPHROLOGY, vol. 25, no. 1, 2020, pp. 82–89, doi:10.1111/nep.13586.
APA
Touzot, M., Seris, P., Maheas, C., Vanmassenhove, J., Langlois, A.-L., Moubakir, K., … Lavielle, M. (2020). Mathematical model to predict B-type natriuretic peptide levels in haemodialysis patients. NEPHROLOGY, 25(1), 82–89. https://doi.org/10.1111/nep.13586
Chicago author-date
Touzot, Maxime, Pascal Seris, Catherine Maheas, Jill Vanmassenhove, Anne-Lyse Langlois, Kamal Moubakir, Sophie Laplanche, Thierry Petitclerc, Christophe Ridel, and Marc Lavielle. 2020. “Mathematical Model to Predict B-Type Natriuretic Peptide Levels in Haemodialysis Patients.” NEPHROLOGY 25 (1): 82–89. https://doi.org/10.1111/nep.13586.
Chicago author-date (all authors)
Touzot, Maxime, Pascal Seris, Catherine Maheas, Jill Vanmassenhove, Anne-Lyse Langlois, Kamal Moubakir, Sophie Laplanche, Thierry Petitclerc, Christophe Ridel, and Marc Lavielle. 2020. “Mathematical Model to Predict B-Type Natriuretic Peptide Levels in Haemodialysis Patients.” NEPHROLOGY 25 (1): 82–89. doi:10.1111/nep.13586.
Vancouver
1.
Touzot M, Seris P, Maheas C, Vanmassenhove J, Langlois A-L, Moubakir K, et al. Mathematical model to predict B-type natriuretic peptide levels in haemodialysis patients. NEPHROLOGY. 2020;25(1):82–9.
IEEE
[1]
M. Touzot et al., “Mathematical model to predict B-type natriuretic peptide levels in haemodialysis patients,” NEPHROLOGY, vol. 25, no. 1, pp. 82–89, 2020.
@article{8616325,
  abstract     = {Aim Clinical interpretation of B-type natriuretic peptide (BNP) levels in haemodialysis (HD) patients for fluid management remains elusive. Methods We conducted a retrospective observational monocentric study. We built a mathematical model to predict BNP levels, using multiple linear regressions. Fifteen clinical/biological characteristics associated with BNP variation were selected. A first cohort of 150 prevalent HD (from September 2015 to March 2016) was used to build several models. The best model proposed was internally validated in an independent cohort of 75 incidents HD (from March 2016 to December 2017). Results In cohort 1, mean BNP level was 630 +/- 717 ng/mL. Cardiac disease (CD - stable coronary artery disease and/or atrial fibrillation) was present in 45% of patients. The final model includes age, systolic blood pressure, albumin, CD, normo-hydrated weight (NHW) and the fluid overload (FO) assessed by bio-impedancemetry. The correlation between the measured and the predicted log-BNP was 0.567 and 0.543 in cohorts 1 and 2, respectively. Age (beta = 3.175e(-2),P < 0.001), CD (beta = 5.243e(-1),P < 0.001) and FO (beta = 1.227e(-1),P < 0.001) contribute most significantly to the BNP level, respectively, but within a certain range. We observed a logistic relationship between BNP and age between 30 and 60 years, after which this relationship was lost. BNP level was inversely correlated with NHW independently of CD. Finally, our model allows us to predict the BNP level according to the FO. Conclusion We developed a mathematical model capable of predicting the BNP level in HD. Our results show the complex contribution of age, CD and FO on BNP level.},
  author       = {Touzot, Maxime and Seris, Pascal and Maheas, Catherine and Vanmassenhove, Jill and Langlois, Anne-Lyse and Moubakir, Kamal and Laplanche, Sophie and Petitclerc, Thierry and Ridel, Christophe and Lavielle, Marc},
  issn         = {1320-5358},
  journal      = {NEPHROLOGY},
  keywords     = {B-type natriuretic peptide,cardiovascular disease,dialysis,modelling,STAGE RENAL-DISEASE,HEART-FAILURE,DIALYSIS PATIENTS,BODY-COMPOSITION,FLUID OVERLOAD,MORTALITY,RISK,MASS,MARKER,IMPACT},
  language     = {eng},
  number       = {1},
  pages        = {82--89},
  title        = {Mathematical model to predict B-type natriuretic peptide levels in haemodialysis patients},
  url          = {http://dx.doi.org/10.1111/nep.13586},
  volume       = {25},
  year         = {2020},
}

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