Startseite Medizin Prognostic role of BNP in children undergoing surgery for congenital heart disease: analysis of prediction models incorporating standard risk factors
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Prognostic role of BNP in children undergoing surgery for congenital heart disease: analysis of prediction models incorporating standard risk factors

  • Massimiliano Cantinotti , Raffaele Giordano EMAIL logo , Marco Scalese , Sabrina Molinaro , Francesca della Pina , Simona Storti , Luigi Arcieri , Bruno Murzi , Marco Marotta , Vitali Pak , Vincenzo Poli , Giorgio Iervasi , Shelby Kutty und Aldo Clerico
Veröffentlicht/Copyright: 22. April 2015

Abstract

Background: The routine use of brain natriuretic peptide (BNP) in pediatric cardiac surgery remains controversial. Our aim was to test whether BNP adds information to predict risk in pediatric cardiac surgery.

Methods: In all, 587 children undergoing cardiac surgery (median age 6.3 months; 1.2–35.9 months) were prospectively enrolled at a single institution. BNP was measured pre-operatively, on every post-operative day in the intensive care unit, and before discharge. The primary outcome was major complications and length ventilator stay >15 days. A first risk prediction model was fitted using Cox proportional hazards model with age, body surface area and Aristotle score as continuous predictors. A second model was built adding cardiopulmonary bypass time and arterial lactate at the end of operation to the first model. Then, peak post-operative log-BNP was added to both models. Analysis to test discrimination, calibration, and reclassification were performed.

Results: BNP increased after surgery (p<0.001), peaking at a mean of 63.7 h (median 36 h, interquartile range 12–84 h) post-operatively and decreased thereafter. The hazard ratios (HR) for peak-BNP were highly significant (first model HR=1.40, p=0.006, second model HR=1.44, p=0.008), and the log-likelihood improved with the addition of BNP at 12 h (p=0.006; p=0.009). The adjunction of peak-BNP significantly improved the area under the ROC curve (first model p<0.001; second model p<0.001). The adjunction of peak-BNP also resulted in a net gain in reclassification proportion (first model NRI=0.089, p<0.001; second model NRI=0.139, p=0.003).

Conclusions: Our data indicates that BNP may improve the risk prediction in pediatric cardiac surgery, supporting its routine use in this setting.


Corresponding author: Raffaele Giordano, MD, Tuscany Foundation “G. Monasterio”, Pediatric Cardiology and Cardiac Surgery, 54100 Massa, Italy, Phone: +39 0585493622, Fax: +39 0585493616, E-mail:

References

1. Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr, Drazner MH, et al. 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines. Circulation 2013;128:e240–327.10.1161/CIR.0b013e31829e8776Suche in Google Scholar PubMed

2. Nir A, Lindinger A, Rauh M, Bar-Oz B, Laer S, Schwachtgen L, et al. NT-pro-B-type natriuretic peptide in infants and children: reference values based on combined data from four studies. Pediatr Cardiol 2009;30:3–8.10.1007/s00246-008-9258-4Suche in Google Scholar PubMed

3. Cantinotti M, Giovannini S, Murzi B, Clerico A. Diagnostic, prognostic and therapeutic relevance of B-type natriuretic peptide assay in children with congenital heart diseases. Clin Chem Lab Med 2011;49:567–80.10.1515/CCLM.2011.106Suche in Google Scholar PubMed

4. Cantinotti M, Storti S, Parri MS, Murzi M, Clerico A. Reference values for plasma BNP circulating levels in the first days of life. Clin Chem 2009;55:1438–40.10.1373/clinchem.2009.126847Suche in Google Scholar PubMed

5. Berry JG, Askovich B, Shaddy RE, Hawkins JA, Cowley CG. Prognostic value of B-type natriuretic peptide in surgical palliation of children with single-ventricle congenital heart disease. Pediatr Cardiol 2008;29:70–5.10.1007/s00246-007-9012-3Suche in Google Scholar PubMed

6. Cantinotti M, Storti S, Ripoli A, Zyw L, Crocetti M, Assanta N, et al. Diagnostic accuracy of BNP assay for congenital heart disease in the first month of life. Clin Chem Lab Med 2010;48:1333–8.10.1515/CCLM.2010.251Suche in Google Scholar PubMed

7. Hsu JH, Keller RL, Chikovani O, Cheng H, Hollander SA, Karl TR, et al. B-type natriuretic peptide levels predict outcome after neonatal cardiac surgery. J Thorac Cardiovasc Surg 2007;134:939–45.10.1016/j.jtcvs.2007.04.017Suche in Google Scholar PubMed

8. Walsh R, Boyer C, LaCorte J, Azakie A, Karl TR, Harmon C, et al. N-terminal B-type natriuretic peptide levels in pediatric patients with congestive heart failure undergoing cardiac surgery. J Thorac Cardiovasc Surg 2008;135:98–105.10.1016/j.jtcvs.2007.08.012Suche in Google Scholar PubMed

9. Shih CY, Sapru A, Oishi P, Azakie A, Karl TR, Harmon C, et al. Alterations in plasma B-type natriuretic peptide levels after repair of congenital heart defects: a potential perioperative marker. J Thorac Cardiovasc Surg 2006;131:632–8.10.1016/j.jtcvs.2005.10.052Suche in Google Scholar PubMed

10. Cannesson M, Bionda C, Gostoli B, Raisky O, di Filippo S, Bompard D, et al. Time course and prognostic value of plasma B-type natriuretic peptide concentration in neonates undergoing the arterial switch operation. Anesth Analg 2007;104: 1059–65, tables of contents.10.1213/01.ane.0000263644.98314.e2Suche in Google Scholar PubMed

11. Mir TS, Haun C, Lilje C, Läer S, Weil J. Utility of N-terminal brain natriuretic peptide plasma concentrations in comparison to lactate and troponin in children with congenital heart disease following open-heart surgery. Pediatr Cardiol 2006;27:209–16.10.1007/s00246-005-1152-8Suche in Google Scholar PubMed

12. Kitzsteiner T, Zink S, Cesnjevar R, Singer H. Impact of cardiac surgery on plasma levels of B-type natriuretic peptide in children with congenital heart disease. Int J Cardiol 2007;114:339–44.10.1016/j.ijcard.2006.01.022Suche in Google Scholar PubMed

13. Gessler P, Knirsch W, Schmitt B, Rousson V, von Eckardstein A. Prognostic value of plasma N-terminal pro-brain natriuretic peptide in children with congenital heart defects and open-heart surgery. J Pediatr 2006;148:372–6.10.1016/j.jpeds.2005.10.039Suche in Google Scholar PubMed

14. Niedner MF, Foley JL, Riffenburgh RH, Bichell DP, Peterson BM, Rodarte A. B-type natriuretic peptide: perioperative patterns in congenital heart disease. Congenit Heart Dis 2010;5:243–55.10.1111/j.1747-0803.2010.00396.xSuche in Google Scholar PubMed

15. Cantinotti M, Storti S, Lorenzoni V, Arcieri L, Moschetti R, Murzi B, et al. The combined use of neutrophil gelatinase-associated lipocalin and brain natriuretic peptide improves risk stratification in pediatric cardiac surgery. Clin Chem Lab Med 2012;50:2009–17.10.1515/cclm-2012-0125Suche in Google Scholar PubMed

16. Cantinotti M, Storti S, Lorenzoni V, Murzi B, Marotta M, Crocetti M, et al. Response of cardiac endocrine function to surgery stress is age dependent in neonates and children with congenital heart defects: consequences in diagnostic and prognostic accuracy of brain natriuretic peptide measurement. Pediatr Crit Care Med 2013;14:508–17.10.1097/PCC.0b013e31828a89b9Suche in Google Scholar PubMed

17. Cantinotti M, Law Y, Vittorini S, Crocetti M, Marco M, Murzi B, et al. The potential and limitations of plasma BNP measurement in the diagnosis, prognosis, and management of children with heart failure due to congenital cardiac disease: an update. Heart Fail Rev 2014;19:727–42.10.1007/s10741-014-9422-2Suche in Google Scholar PubMed

18. Pletcher MJ, Pignone M. Evaluating the clinical utility of a biomarker: a review of methods for estimating health impact. Circulation 2011;123:1116–24.10.1161/CIRCULATIONAHA.110.943860Suche in Google Scholar PubMed PubMed Central

19. Wang TJ. Assessing the role of circulating, genetic, and imaging biomarkers in cardiovascular risk prediction. Circulation 2011;123:551–65.10.1161/CIRCULATIONAHA.109.912568Suche in Google Scholar PubMed PubMed Central

20. Hlatky MA, Greenland P, Arnett DK, Ballantyne CM, Criqui MH, Elkind MS, et al. Criteria for evaluation of novel markers of cardiovascular risk: a scientific statement from the American Heart Association. Circulation 2009;119:2408–16.10.1161/CIRCULATIONAHA.109.192278Suche in Google Scholar PubMed PubMed Central

21. Prontera C, Storti S, Emdin M, Passino C, Zyw L, Zucchelli GC, et al. Comparison of a fully automated immunoassay with a point-of-care testing method for B-type natriuretic peptide. Clin Chem 2005;51:1274–6.10.1373/clinchem.2005.048496Suche in Google Scholar

22. Lopez L, Colan SD, Frommelt PC, Ensing GJ, Kendall K, Younoszai AK, et al. Recommendations for quantification methods during the performance of a pediatric echocardiogram: a report from the Pediatric Measurements Writing Group of the American Society of Echocardiography Pediatric and Congenital Heart Disease Council. J Am Soc Echocardiogr 2010;23:465–95.10.1016/j.echo.2010.03.019Suche in Google Scholar

23. Jacobs JP, Jacobs ML, Austin EH, Mavroudis C, Pasquali SK, Lacour-Gayet FG, et al. Quality measures for congenital and pediatric cardiac surgery. World J Pediatr Congenit Heart Surg 2012;3:32–47.10.1177/2150135111426732Suche in Google Scholar

24. Jonas RA, Jacobs JP, Jacobs ML, Mavroudis C. Reporting of mortality associated with pediatric and congenital cardiac surgery. J Thorac Cardiovasc Surg 2010;140:726; author reply 726–7.10.1016/j.jtcvs.2010.04.034Suche in Google Scholar

25. Lacour-Gayet F, Clarke D, Jacobs J, Comas J, Daebritz S, Daenen W, et al. The Aristotle score: a complexity-adjusted method to evaluate surgical results. Eur J Cardiothorac Surg 2004;25:911–24.10.1016/j.ejcts.2004.03.027Suche in Google Scholar

26. Portman MA, Slee A, Olson AK, Cohen G, Karl T, Tong E, et al. Triiodothyronine supplementation in infants and children undergoing cardiopulmonary bypass (TRICC): a multicenter placebo-controlled randomized trial: age analysis. Circulation 2010;14:S224–33.10.1161/CIRCULATIONAHA.109.926394Suche in Google Scholar

27. Cnaan A, Laird NM, Slasor P. Using the general linear mixed model to analyze unbalanced repeated measure and longitudinal data. Stat Med 1997;16:2349–80.10.1002/(SICI)1097-0258(19971030)16:20<2349::AID-SIM667>3.0.CO;2-ESuche in Google Scholar

28. Alves RL, Aragão e Silva AL, Kraychete NC, Campos GO, Martins Mde J, Módolo NS. Intraoperative lactate levels and postoperative complications of pediatric cardiac surgery. Paediatr Anaesth 2012;22:812–7.10.1111/j.1460-9592.2012.03823.xSuche in Google Scholar

29. Park SJ, Kim HS, Byon HJ, Kim CS, Cheong IY, Kim JT. Intraoperative plasma lactate as an early indicator of major postoperative events in pediatric cardiac patients. Tohoku J Exp Med 2012;228:239–45.10.1620/tjem.228.239Suche in Google Scholar

30. Royston P, Parmar R. Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Stat Med 2002;21:2175–97.10.1002/sim.1203Suche in Google Scholar

31. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988;14:837–45.10.2307/2531595Suche in Google Scholar

32. Pencina MJ, D’Agostino RB Sr, D’Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157–72; discussion 207–12.10.1002/sim.2929Suche in Google Scholar

33. Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361–87.10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4Suche in Google Scholar

34. Hubbard D. The failure of risk management: why it’s broken and how to fix it. Hokboken, NJ: John Wiley & Sons, 2009:46.Suche in Google Scholar

35. Wood G, Barayan G, Sanchez DC, Inoue GN, Buchalla CA, Rossini GA, et al. Validation of the pediatric surgical risk assessment scoring system. J Pediatr Surg 2013;48:2017–21.10.1016/j.jpedsurg.2013.04.017Suche in Google Scholar

36. Available from: http://www.qpidhealth.com. Accessed: 6 Oct 2014.Suche in Google Scholar

37. Lloyd-Jones DM. Cardiovascular risk prediction: basic concepts, current status, and future directions. Circulation 2010;121:1768–77.10.1161/CIRCULATIONAHA.109.849166Suche in Google Scholar

38. Vanderlaan RD, Manlhiot C, Conway J, Honjo O, McCrindle BW, Dipchand A. Perioperative factors associated with in-hospital mortality or retransplantation in pediatric heart transplant recipients. J Thorac Cardiovasc Surg 2014;148:282–9.10.1016/j.jtcvs.2014.03.022Suche in Google Scholar


Supplemental Material

The online version of this article (DOI: 10.1515/cclm-2014-1084) offers supplementary material, available to authorized users.


Received: 2014-11-4
Accepted: 2015-3-17
Published Online: 2015-4-22
Published in Print: 2015-10-1

©2015 by De Gruyter

Artikel in diesem Heft

  1. Frontmatter
  2. Editorials
  3. Laboratory medicine does matter in science (and medicine)… yet many seem to ignore it
  4. The standardization of the urine albumin assays: no longer deferrable
  5. Reviews
  6. The role of telomeres and vitamin D in cellular aging and age-related diseases
  7. Atypical hemolytic uremic syndrome: from diagnosis to treatment
  8. Clinical relevance and contemporary methods for counting blood cells in body fluids suspected of inflammatory disease
  9. EFLM Opinion Paper
  10. How to assess the quality of your analytical method?
  11. Genetics and Molecular Diagnostics
  12. Validation of CFTR intronic variants identified during cystic fibrosis population screening by a minigene splicing assay
  13. General Clinical Chemistry and Laboratory Medicine
  14. Uncertainty in measurement for 43 biochemistry, immunoassay, and hemostasis routine analytes evaluated by a method using only external quality assessment data
  15. A study examining the bias of albumin and albumin/creatinine ratio measurements in urine
  16. National survey on appropriateness of clinical biochemistry reporting in China
  17. Potentiometric measurement of urinary iodine concentration in patients with thyroid diseases with and without previous exposure to non-radioactive iodine
  18. Determination of 21-hydroxylase autoantibodies: inter-laboratory concordance in the Euradrenal International Serum Exchange Program
  19. Value of a commercial kit for detecting anti-C1q autoantibodies and correlation with immunological and clinical activity of lupus nephritis
  20. Comparison of the bead-based simultaneous analysis of specific platelet antibodies assay (SASPA) and Pak Lx Luminex technology with the monoclonal antibody immobilization of platelet antigens assay (MAIPA) to detect platelet alloantibodies
  21. Measurement of the inflammatory response in the early postoperative period after hip and knee arthroplasty
  22. Whole blood thromboelastometry profiles in women with preeclampsia
  23. Increased plasma soluble urokinase plasminogen activator receptor levels in systemic sclerosis: possible association with microvascular abnormalities and extent of fibrosis
  24. Reference Values and Biological Variations
  25. Reference ranges of serum bile acids in children and adolescents
  26. Infectious Diseases
  27. Elevated circulating ghrelin, but not peptide YY(3-36) levels, in term neonates with infection
  28. Cardiovascular Diseases
  29. Head-to-head comparison of 10 natriuretic peptide assays
  30. Prognostic role of BNP in children undergoing surgery for congenital heart disease: analysis of prediction models incorporating standard risk factors
  31. Elevations of inflammatory markers PTX3 and sST2 after resuscitation from cardiac arrest are associated with multiple organ dysfunction syndrome and early death
  32. Identification of molecular species of oxidized triglyceride in plasma and its distribution in lipoproteins
  33. A new formula for estimation of low-density lipoprotein cholesterol in an ethnic Chinese population
  34. Letter to the Editors
  35. Laboratory medicine: let’s say it is the mirror of science (and medicine)
  36. The economic burden of hemolysis
  37. Acute effects of conventional and extended hemodialysis and hemodiafiltration on high-sensitivity cardiac troponins
  38. Cuvette carryover with the gentamicin assay on the Beckman AU480 analyser
  39. Comparison study of two commercially available methods for the determination of golimumab and anti-golimumab antibody levels in patients with rheumatic diseases
  40. Automated alkaline-pH electrophoresis followed by densitometry does not correlate with cation-exchange (CE)-HPLC in quantification of HbA2 and variant hemoglobins
  41. Progression from light chain myeloma to secondary plasma cell leukemia accompanied by peripheral blood eosinophilia
  42. Harmonization of results has not been fully achieved for serum immunoglobulin measurements
  43. The risk of macrovascular complications in subjects genotyped for common IL-6 gene and TNF-α gene variants
  44. Comparison of nucleated red blood cell count with four commercial hematological analyzers
  45. Reply to: The risk of macrovascular complications in subjects genotyped for common IL-6 gene and TNF-α gene variants
  46. Congress Abstracts
  47. Congress of Clinical Chemistry and Laboratory Medicine
  48. 47th National Congress of the Italian Society of Clinical Biochemistry and Clinical Molecular Biology (SIBioC – Laboratory Medicine)
  49. 15th EFLM Continuous Postgraduate Course in Clinical Chemistry and Laboratory Medicine
Heruntergeladen am 22.1.2026 von https://www.degruyterbrill.com/document/doi/10.1515/cclm-2014-1084/html?lang=de
Button zum nach oben scrollen