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Martirosyan S.M.

Clinical and Diagnostic Center “Zdorovie”

Aboyan I.A.

Clinical and Diagnostic Center “Zdorovie”

Kosmacheva E.D.

Research Institute — Ochapovsky Regional Clinical Hospital No. 1;
Kuban State Medical University

Khalafyan A.A.

Kuban State University

Akinshina V.A.

Kuban State University

QRISK-3 cardiovascular risk assessment algorithm in prediction of kidney transplantation outcomes

Authors:

Martirosyan S.M., Aboyan I.A., Kosmacheva E.D., Khalafyan A.A., Akinshina V.A.

More about the authors

Journal: Russian Cardiology Bulletin. 2025;20(2): 61‑69

DOI: 10.17116/Cardiobulletin20252002161

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Table of contents

QRISK-3 CARDIOVASCULAR RISK ASSESSMENT ALGORITHM IN PREDICTION OF KIDNEY TRANSPLANTATION OUTCOMES
QRISK-3 CARDIOVASCULAR RISK ASSESSMENT ALGORITHM IN PREDICTION OF KIDNEY TRANSPLANTATION OUTCOMES

To cite this article:

Martirosyan SM, Aboyan IA, Kosmacheva ED, Khalafyan AA, Akinshina VA. QRISK-3 cardiovascular risk assessment algorithm in prediction of kidney transplantation outcomes. Russian Cardiology Bulletin. 2025;20(2):61‑69. (In Russ.)
https://doi.org/10.17116/Cardiobulletin20252002161

ЭндоКард
Подписка 2026 Кардиологический вестник (Russian Cardiology Bulletin)
 
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

INTRODUCTION

Cardiovascular complications are the leading cause of mortality among kidney recipients. Moreover, cardiovascular risk is associated with kidney transplant outcomes.

OBJECTIVE

To justify the QRISK-3 algorithm in patients with end-stage renal disease for cardiovascular risk stratification and to develop a mathematical model for predicting kidney transplant outcomes including QRISK-3 score.

MATERIAL AND METHODS

We examined 191 patients before and after kidney transplantation. Patients were divided into 3 groups depending on the outcomes after transplantation: group 1 with favorable outcomes — 157 (82.2%) patients, group 2 with graft loss — 30 (15.7%) patients, group 3 with fatal outcomes — 4 (2.1%) patients. Cardiovascular risks were calculated in all groups using the QRISK-3 algorithm. Prognostic value of this scale was assessed considering postoperative cardiovascular events. A mathematical model for predicting the kidney transplant outcomes was developed.

RESULTS

We found significant differences between groups 1 and 2, as well as 1 and 3 (p1—2<0.001, p1—3=0.002) in cardiovascular risk based on QRISK-3 score. There was a moderate correlation between QRISK-3 results and kidney transplant outcomes (R=0.439, p=0.000*). The model for predicting adverse cardiovascular events based on QRISK-3 score had high sensitivity (98.1%) and specificity (79.4%). When we developed a mathematical model for predicting kidney transplant outcomes, the QRISK-3 parameters were among three most important predictors. The model had high diagnostic value.

CONCLUSION

The QRISK-3 prognostic algorithm is a valuable and easily reproducible tool not only in assessing cardiovascular risk among kidney transplant candidates and kidney recipients, but also in predicting transplant outcomes.

Keywords:

End-Stage renal disease
cardiovascular risk
QRISK-3
predicting kidney transplant outcomes

Authors:

Martirosyan S.M.

Clinical and Diagnostic Center “Zdorovie”

Aboyan I.A.

Clinical and Diagnostic Center “Zdorovie”

Kosmacheva E.D.

Research Institute — Ochapovsky Regional Clinical Hospital No. 1;
Kuban State Medical University

Khalafyan A.A.

Kuban State University

Akinshina V.A.

Kuban State University

Received:

13.11.2024

Accepted:

11.12.2024

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References:

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