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

Touzot, Maxime; Seris, P.; Maheas, Catherine; Vanmassenhove, Jill; Langlois, Anne-Lyse; Moubakir, Kamal; Laplanche, Sophie; Petitclerc, T.; Ridel, Christophe; Lavielle, Marc

doi:10.1111/nep.13586

Cited by 2 publications

(1 citation statement)

References 27 publications

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“…BNP level is a kind of peptide neurohormone with natriuretic and diuretic effects. It can inhibit the renin-angiotensin-aldosterone system and sympathetic-adrenal system activity, reduce myocardial cell fibrosis, promote vascular smooth muscle relaxation, dilate blood vessels, and is often used as an indicator of changes in heart function to assist in the diagnosis of heart failure [32][33][34][35]. Currently, there is limited research on the relationship between BNP levels and PDAP.…”

Section: Discussionmentioning

confidence: 99%

Development of a clinical risk score system for peritoneal dialysis-associated peritonitis treatment failure

Mao,

Xiao,

Deng

et al. 2023

BMC Nephrol

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Objective This study aimed to construct a clinical risk score system for peritoneal dialysis-associated peritonitis (PDAP) treatment failure to provide a theoretical basis for clinical workers. Methods A total of 161 PDAP individuals admitted to our hospital were included, among whom 70 cases were in the treatment-improved group and 87 cases were in the treatment failure group. We compared the general condition, clinical manifestations, and laboratory examination indicators of the two groups of individuals, used multivariate logistic regression analysis to identify the factors influencing PDAP treatment failure, and developed a clinical risk score system. The diagnostic performance of the risk score system was evaluated utilizing the receiver operating characteristic (ROC) curve. Results Significant differences (P < 0.05) were observed between the two groups in terms of contamination, peritoneal fluid culture results, blood urea nitrogen (BUN) level, C-reactive protein (CRP) level, B-type natriuretic peptide (BNP) level, average residual urine (RU) volume, and urea clearance rate (UCR). Multivariate logistic regression analysis showed that BUN level, CRP level, BNP level, average RU volume, and UCR were independent risk factors affecting PDAP patient treatment outcomes (P < 0.05). The ROC curve analysis of the risk score system for predicting treatment failure in PDAP individuals showed an area under the curve of 0.895 [95% confidence interval (0.847–0.943)]. The optimal cut-off point was 2.5 points, with corresponding sensitivity and specificity of 88.5% and 74.3%, separately. Conclusion BUN level, CRP level, BNP level, average RU volume, and UCR are independent risk factors for PDAP treatment failure. The clinical risk score system based on these five independent risk factors can accurately predict the risk of treatment failure in PDAP individuals.

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Section: Discussionmentioning

confidence: 99%

Development of a clinical risk score system for peritoneal dialysis-associated peritonitis treatment failure

Mao,

Xiao,

Deng

et al. 2023

BMC Nephrol

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Relative Change of Protidemia Level Predicts Intradialytic Hypotension

Assayag

Levy²,

Seris

et al. 2020

JAHA

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Background Hemodialysis patients are at risk of intradialytic hypotension ( IDH ), which is associated with mortality and cardiovascular and neurological events. The use of biomarkers of volemia such as relative change in protidemia and BNP (B‐natriuretic peptide) levels to predict IDH remains unknown. Methods and Results We conducted a prospective observational study, which enrolled 170 chronic hemodialysis patients in a single center from September 2015 to March 2016. BNP and the relative change of protidemia level (Δprotidemia=postdialysis protidemia−predialysis protidemia) were measured monthly over 6 months. A logistic mixed regression model was used to define the best biomarkers that predict the 30‐day risk of IDH . Receiver operating characteristic analysis area under the curve was used to define the cutoff values of Δprotidemia that predict IDH A logistic mixed model reveals that Δprotidemia predicts the 30‐day risk of IDH but not BNP or age; odds ratio=1.12, 95% CI 1.08‐1.17), odds ratio=0.81, 95% CI (0.64; 1.07) and odds ratio =0.015 95% CI (0.99; 1.03), respectively. Adding the ultrafiltration rate did not improve the model. A receiver operating characteristic curve analysis showed that Δprotidemia of 10 g/L allowed for discrimination of the patients with IDH (area under the curve= 0.67; 95% CI 0.62‐0.72, P <0.05). There was an increase in area under the curve to 0.71 (95% CI 0.63‐0.76) in a subgroup of hemodialysis with BNP <300 ng/L, for a cutoff value of 11 g/L, especially for the nondiabetic patients. Conclusions Relative change in protidemia level (Δprotidemia) outperforms BNP and ultrafiltration rate as a predictor for 30‐day risk of IDH . These results should be confirmed by a prospective study.

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

Cited by 2 publications

References 27 publications

Development of a clinical risk score system for peritoneal dialysis-associated peritonitis treatment failure

Development of a clinical risk score system for peritoneal dialysis-associated peritonitis treatment failure

Relative Change of Protidemia Level Predicts Intradialytic Hypotension

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