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Multicenter Study
. 2018 Aug;5(4):610-619.
doi: 10.1002/ehf2.12278. Epub 2018 Mar 9.

Performance of the MAGGIC heart failure risk score and its modification with the addition of discharge natriuretic peptides

Affiliations
Multicenter Study

Performance of the MAGGIC heart failure risk score and its modification with the addition of discharge natriuretic peptides

Mitsuaki Sawano et al. ESC Heart Fail. 2018 Aug.

Abstract

Aims: Predictive models for heart failure patients are widely used in the clinical practice to stratify patients' mortality and enable clinicians to tailor and intensify their approach. However, such models have not been validated internationally. In addition, biomarkers are now frequently measured to obtain prognostic information, and the implications of this practice are not known. In this study, we aimed to validate the model performance of the Meta-analysis Global Group in Chronic Heart Failure (MAGGIC) score in a Japanese acute heart failure registry and further explore the incremental prognostic value of discharge B-type natriuretic peptide (BNP) level.

Methods and results: In this study, we evaluated the registered data of 2215 consecutive acute HF patients (with 694 119 person-years follow-up) from a prospective multicentre registry (the West Tokyo Heart Failure) conducted in Japan from April 2006 to August 2016. The mean age was 73.0 ± 13.0, and 61.2% were male. The MAGGIC score demonstrated modest discrimination (c-index = 0.71, 95% confidence interval 0.67-0.74) and good calibration (R2 value = 0.97); there was constant overestimation for 1 year mortality. However, when the BNP level was added to the original MAGGIC variables, the model demonstrated good discrimination (c-index = 0.74, 95% confidence interval 0.70-0.78) with adequate calibration (R2 value = 0.91). The modified MAGGIC BNP score was externally validated in a separate Japanese registry (NaDEF) and demonstrated moderate discrimination (c-index = 0.69, 95% confidence interval 0.65-0.73) and calibration (R2 value = 0.85).

Conclusion: The original MAGGIC score performed modestly in Japanese patients, but the addition of discharge BNP level enhanced model performance. The addition of objective biomarkers may result in effective modification of preexisting internationally recognized risk models and aid in multinational comparisons of heart failure patients' outcomes.

Keywords: East Asia; Heart failure; Prediction; Validation.

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Figures

Figure 1
Figure 1
Study population.
Figure 2
Figure 2
Distribution of the MAGGIC score within the WET‐HF registry.
Figure 3
Figure 3
Kaplan–Meier curve of all‐cause mortality divided by MAGGIC risk groups.
Figure 4
Figure 4
Performance of the original and modified MAGGIC score within the WET‐HF registry.
Figure 5
Figure 5
Performance of the original and modified MAGGIC score within the NaDEF registry.

References

    1. Nichols M, Townsend N, Scarborough P, Rayner M. Cardiovascular disease in Europe 2014: epidemiological update. Eur Heart J 2014; 35: 2929. - PubMed
    1. Guo Y, Lip GY, Banerjee A. Heart failure in East Asia. Curr Cardiol Rev 2013; 9: 112–122. - PMC - PubMed
    1. Malhotra R, Bakken K, D'Elia E, Lewis GD. Cardiopulmonary exercise testing in heart failure. JACC Heart Failure 2016; 4: 607–616. - PubMed
    1. Levy WC, Mozaffarian D, Linker DT, Sutradhar SC, Anker SD, Cropp AB, Anand I, Maggioni A, Burton P, Sullivan MD, Pitt B, Poole‐Wilson PA, Mann DL, Packer M. The Seattle Heart Failure Model: prediction of survival in heart failure. Circulation 2006; 113: 1424–1433. - PubMed
    1. Pocock SJ, Ariti CA, McMurray JJ, Maggioni A, Kober L, Squire IB, Swedberg K, Dobson J, Poppe KK, Whalley GA, Doughty RN. Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies. Eur Heart J 2013; 34: 1404–1413. - PubMed

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