Shintaro Kasahara1, Yasuhiko Sakata2, Kotaro Nochioka1, Masanobu Miura1, Ruri Abe1, Masayuki Sato1, Hajime Aoyanagi1, Takahide Fujihashi1, Shinsuke Yamanaka1, Takashi Shiroto1, Koichiro Sugimura1, Jun Takahashi1, Satoshi Miyata3, Hiroaki Shimokawa4. 1. Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aoba-ku, Sendai 980-8574, Japan. 2. Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aoba-ku, Sendai 980-8574, Japan; The Big Data Medicine Center, Tohoku University, 1-1 Seiryomachi, Aoba-ku, Sendai 980-8574, Japan. Electronic address: sakatayk@cardio.med.tohoku.ac.jp. 3. Department of Evidence-based Cardiovascular Medicine, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aoba-ku, Sendai 980-8574, Japan. 4. Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aoba-ku, Sendai 980-8574, Japan; The Big Data Medicine Center, Tohoku University, 1-1 Seiryomachi, Aoba-ku, Sendai 980-8574, Japan; Department of Evidence-based Cardiovascular Medicine, Tohoku University Graduate School of Medicine, 1-1 Seiryomachi, Aoba-ku, Sendai 980-8574, Japan.
Abstract
BACKGROUND: Although B-type natriuretic peptide (BNP) and N-terminal prohormone B-type natriuretic peptide (NT-proBNP) are released in equimolar proportions, their values differ depending on clinical conditions. A useful conversion formula between BNP and NT-proBNP remains to be developed for the clinical use. AIM: To develop a conversion formula from BNP to NT-proBNP. METHODS: In the derivation cohort, 923 patients with chronic heart failure, in whom both BNP and NT-proBNP values were available, were enrolled from our SUPPORT (Supplemental Benefit of ARB in Hypertensive Patients with Stable Heart Failure using Olmesartan) trial. The validation cohort included 1154 consecutive patients with or at risk of cardiovascular diseases, in whom both BNP and NT-proBNP values were measured simultaneously at Tohoku University Hospital. We regressed log10 NT-proBNP onto log10 BNP and factors influencing BNP and NT-proBNP values. RESULTS: We adopted the model with the smallest Akaike information criterion consisting of log10 BNP, age, sex, BMI, creatinine clearance (CCr), hemoglobin, and atrial fibrillation (AF). As compared with the previously reported conversion formulas, the present conversion formula utilized non-linear transformation by spline function, and exhibited the strongest correlation between actual and calculated values of NT-proBNP (r = 0.928). The root mean squared error (RMSE) of the present conversion formula was smallest compared with the previously reported conversion formulas, indicating that this formula most effectively converts BNP values to NT-proBNP values. CONCLUSIONS: We have developed a useful conversion formula from BNP to NT-proBNP values, using age, sex, BMI, CCr, hemoglobin, and AF, which could be widely used in daily clinical practice.
BACKGROUND: Although B-type natriuretic peptide (BNP) and N-terminal prohormone B-type natriuretic peptide (NT-proBNP) are released in equimolar proportions, their values differ depending on clinical conditions. A useful conversion formula between BNP and NT-proBNP remains to be developed for the clinical use. AIM: To develop a conversion formula from BNP to NT-proBNP. METHODS: In the derivation cohort, 923 patients with chronic heart failure, in whom both BNP and NT-proBNP values were available, were enrolled from our SUPPORT (Supplemental Benefit of ARB in HypertensivePatients with Stable Heart Failure using Olmesartan) trial. The validation cohort included 1154 consecutive patients with or at risk of cardiovascular diseases, in whom both BNP and NT-proBNP values were measured simultaneously at Tohoku University Hospital. We regressed log10NT-proBNP onto log10BNP and factors influencing BNP and NT-proBNP values. RESULTS: We adopted the model with the smallest Akaike information criterion consisting of log10BNP, age, sex, BMI, creatinine clearance (CCr), hemoglobin, and atrial fibrillation (AF). As compared with the previously reported conversion formulas, the present conversion formula utilized non-linear transformation by spline function, and exhibited the strongest correlation between actual and calculated values of NT-proBNP (r = 0.928). The root mean squared error (RMSE) of the present conversion formula was smallest compared with the previously reported conversion formulas, indicating that this formula most effectively converts BNP values to NT-proBNP values. CONCLUSIONS: We have developed a useful conversion formula from BNP to NT-proBNP values, using age, sex, BMI, CCr, hemoglobin, and AF, which could be widely used in daily clinical practice.
Authors: Kiran K Khush; Helen Luikart; Nikole Neidlinger; Ahmad Salehi; John Nguyen; P J Geraghty; John Belcher; Bruce Nicely; Martin Jendrisak; Thomas Pearson; R Patrick Wood; Tahnee Groat; Brian Wayda; Jonathan G Zaroff; Darren Malinoski Journal: Am J Transplant Date: 2022-04-18 Impact factor: 9.369
Authors: Michael R Zile; Akshay S Desai; Rahul Agarwal; Rupinder Bharmi; Nirav Dalal; Philip B Adamson; Alan S Maisel Journal: Clin Cardiol Date: 2020-09-19 Impact factor: 2.882