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Performance of the European System for Cardiac Operative Risk Evaluation II: A meta-analysis of 22 studies involving 145,592 cardiac surgery procedures
Open accessAbstract
Objectives A systematic review of the European System for Cardiac Operative Risk Evaluation (euroSCORE) II performance for prediction of operative mortality after cardiac surgery has not been performed. We conducted a meta-analysis of studies based on the predictive accuracy of the euroSCORE II.Methods We searched the Embase and PubMed databases for all English-only articles reporting performance characteristics of the euroSCORE II. The area under the receiver operating characteristic curve, the observed/expected mortality ratio, and observed-expected mortality difference with their 95% confidence intervals were analyzed.Results Twenty-two articles were selected, including 145,592 procedures. Operative mortality occurred in 4293 (2.95%), whereas the expected events according to euroSCORE II were 4802 (3.30%). Meta-analysis of these studies provided an area under the receiver operating characteristic curve of 0.792 (95% confidence interval, 0.773-0.811), an estimated observed/expected ratio of 1.019 (95% confidence interval, 0.899-1.139), and observed-expected difference of 0.125 (95% confidence interval, -0.269 to 0.519). Statistical heterogeneity was detected among retrospective studies including less recent procedures. Subgroups analysis confirmed the robustness of combined estimates for isolated valve procedures and those combined with revascularization surgery. A significant overestimation of the euroSCORE II with an observed/expected ratio of 0.829 (95% confidence interval, 0.677-0.982) was observed in isolated coronary artery bypass grafting and a slight underestimation of predictions in high-risk patients (observed/expected ratio 1.253 and observed-expected difference 1.859).Conclusions Despite the heterogeneity, the results from this meta-analysis show a good overall performance of the euroSCORE II in terms of discrimination and accuracy of model predictions for operative mortality. Validation of the euroSCORE II in prospective populations needs to be further studied for a continuous improvement of patients' risk stratification before cardiac surgery.
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“In a recent review,17 23 validations of EuroSCORE II were identified in which its predictive performance was examined in patients undergoing cardiac surgery.”
From A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes (2019) · cites this paper as [17]
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Cites
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Hanley, J. A., & McNeil, B. J. (1982) · Radiology · doi:10.1148/radiology.143.1.7063747 · Cited by 21,856
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
European system for cardiac operative risk evaluation (EuroSCORE)
Nashef, S. A. M., Roques, F., Michel, P., Gauducheau, E., Lemeshow, S., & Salamon, R. (1999) · European Journal of Cardio-Thoracic Surgery · doi:10.1016/s1010-7940(99)00134-7 · Cited by 3,362
Nashef, S. A. M., Roques, F., Sharples, L. D., Nilsson, J., Smith, C., Goldstone, A. R., & Lockowandt, U. (2012) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezs043 · Cited by 2,971
Eurp-pean system for cardiac operative risk evaluation (Euro SCORE)
Nashef, S. A. M. (1999) · Medical Entomology and Zoology · Cited by 1,349
The Society of Thoracic Surgeons 2008 Cardiac Surgery Risk Models: Part 2—Isolated Valve Surgery
O’Brien, S. M., Shahian, D. M., Filardo, G., Ferraris, V. A., Haan, C. K., Rich, J. B., Normand, S. T., DeLong, E. R., Shewan, C. M., Dokholyan, R. S., et al. (2009) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2009.05.056 · Cited by 1,259
Shahian, D. M., O’Brien, S. M., Filardo, G., Ferraris, V. A., Haan, C. K., Rich, J. B., Normand, S. T., DeLong, E. R., Shewan, C. M., Dokholyan, R. S., et al. (2009) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2009.05.053 · Cited by 1,256
Roques, F. (2003) · European Heart Journal · doi:10.1016/s0195-668x(02)00799-6 · Cited by 1,144
BAUJAT, B., Mahé, C., Pignon, J., & Hill, C. (2002) · Statistics in Medicine · doi:10.1002/sim.1221 · Cited by 798
Meta-analysis of Observational Studies in Epidemiology
Stroup, D. F., Berlin, J. A., Morton, S. C., Olkin, I., Williamson, G. D., Rennie, D., Moher, D., Becker, B. J., Sipe, T. A., & Thacker, S. B. (2000) · Cited by 460
Cited by
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Iung, B., Delgado, V., Rosenhek, R., Price, S., Prendergast, B., Wendler, O., Bonis, M. D., Tribouilloy, C., Evangelista, A., Bogachev-Prokophiev, A. V., et al. (2019) · Circulation · doi:10.1161/circulationaha.119.041080 · Cited by 614
A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes
Debray, T. P., Damen, J. A., Riley, R. D., Snell, K., Reitsma, J. B., Hooft, L., Collins, G. S., & Moons, K. G. (2019) · Statistical Methods in Medical Research · doi:10.1177/0962280218785504 · Cited by 278
Urbanowicz, T. K., Michalak, M., Olasińska‐Wiśniewska, A., Rodzki, M., Witkowska, A., Gąsecka, A., Buczkowski, P., Perek, B., & Jemielity, M. (2022) · Cells · doi:10.3390/cells11071124 · Cited by 106
Association of Frailty and Long‐Term Survival in Patients Undergoing Coronary Artery Bypass Grafting
Tran, D. T. T., Tu, J. V., Dupuis, J., Eddeen, A. B., & Sun, L. Y. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.118.009882 · Cited by 97
Grigioni, F., Clavel, M.-A. A., Vanoverschelde, J., Tribouilloy, C. M., Pizarro, R., Huebner, M., Aviérinos, J.-F., Barbieri, A., Suri, R. M., Pasquet, A., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx465 · Cited by 93
Clinical frailty scale and outcome after coronary artery bypass grafting
Reichart, D., Rosato, S., Nammas, W., Onorati, F., Dalén, M., Castro, L., Gherli, R., Gatti, G., Franzese, I., Faggian, G. G., et al. (2018) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezy222 · Cited by 87
Frailty in cardiothoracic surgery: systematic review of the literature
Furukawa, H., & Tanemoto, K. (2015) · General Thoracic and Cardiovascular Surgery · doi:10.1007/s11748-015-0553-8 · Cited by 48
Is the EuroSCORE II reliable to estimate operative mortality among octogenarians?
Provenchère, S., Chevalier, A., Ghodbane, W., Bouleti, C., Montravers, P., Longrois, D., & Iung, B. (2017) · PLoS ONE · doi:10.1371/journal.pone.0187056 · Cited by 48
Scoring Systems for Risk Stratification in Patients Undergoing Cardiac Surgery
Pittams, A., Iddawela, S., Zaidi, S., Tyson, N., & Harky, A. (2021) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2021.03.005 · Cited by 44
Wang, T. K. M., Wang, M. T. M., Gamble, G. D., Webster, M. W. I., & Ruygrok, P. (2017) · International Journal of Cardiology · doi:10.1016/j.ijcard.2016.12.188 · Cited by 44
Can machine learning improve mortality prediction following cardiac surgery?
Benedetto, U., Sinha, S., Lyon, M., Dimagli, A., Gaunt, T. R., Angelini, G. D., & Sterne, J. A. C. (2020) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezaa229 · Cited by 42
Development of machine learning models for mortality risk prediction after cardiac surgery
Fan, Y., Dong, J., Wu, Y., Shen, M., Zhu, S., He, X., Jiang, S., Shao, J., & Song, C. (2022) · Cardiovascular Diagnosis and Therapy · doi:10.21037/cdt-21-648 · Cited by 39
Silverborn, M., Nielsen, S. J., & Karlsson, M. (2023) · Journal of Cardiothoracic Surgery · doi:10.1186/s13019-023-02141-4 · Cited by 34
Machine Learning Methods for Predicting Long-Term Mortality in Patients After Cardiac Surgery
Yu, Y. S., Peng, C., Zhang, Z., Shen, K., Zhang, Y., Xiao, J. Z., Wang, X., Wang, P., Rao, J., Jin, Z., et al. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.831390 · Cited by 37
Systematic review and meta-analysis of mortality risk prediction models in adult cardiac surgery
Sinha, S., Dimagli, A., Dixon, L. K., Gaudino, M. F. L., Caputo, M., Vohra, H. A., Angelini, G. D., & Benedetto, U. (2021) · Interactive Cardiovascular and Thoracic Surgery · doi:10.1093/icvts/ivab151 · Cited by 31
Buccheri, S., D’Arrigo, P., Franchina, A. G., & Capodanno, D. (2018) · Interventional Cardiology Reviews Research Resources · doi:10.15420/icr.2018.16.2 · Cited by 29
Comparison of risk scores for predicting outcomes after isolated tricuspid valve surgery
Wang, T. K. M., Akyuz, K., Kirincich, J., Durán-Crane, A., Mentias, A. G., Xu, B., Gillinov, A. M., Pettersson, G., Griffin, B. P., & Desai, M. Y. (2021) · Journal of Cardiac Surgery · doi:10.1111/jocs.16098 · Cited by 29
Wong, C. W. Y., Yu, D. S. F., Li, P. W. C., & Chan, B. S. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101850 · Cited by 27
Is the EuroSCORE II reliable in surgical mitral valve repair? A single-centre validation study
Carino, D., Denti, P., Ascione, G., Forno, B. D., Lapenna, E., Ruggeri, S., Agricola, E., Buzzatti, N., Verzini, A., Meneghin, R., et al. (2020) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezaa403 · Cited by 25
The age-adjusted Charlson comorbidity index in minimally invasive mitral valve surgery
Minol, J., Dimitrova, V., Petrov, G., Langner, R., Boeken, U., Rellecke, P., Aubin, H., Kamiya, H., Sixt, S. U., Huhn, R., et al. (2019) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezz240 · Cited by 24
Parkin, C. J., Móritz, P., Kirkland, O., & Glover, A. R. (2021) · Journal of Surgical Research · doi:10.1016/j.jss.2021.07.009 · Cited by 24
Tsaousi, G. G., Panagidi, M., Papakostas, P., Grosomanidis, V., Stavrou, G., & Kotzampassi, K. E. (2020) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2020.10.037 · Cited by 22
Onorati, F., Mariscalco, G., Reichart, D., Perrotti, A., Gatti, G., FEO, M. D., Rubino, A. S., Santarpino, G., Biancari, F., Detter, C., et al. (2017) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2017.09.039 · Cited by 22
Perioperative cardioprotection: back to bedside
Lionetti, V., & Barile, L. (2020) · Minerva Anestesiologica · doi:10.23736/s0375-9393.19.13848-5 · Cited by 21
Nezic, D. G., Spasic, T., Mićović, S., Kosevic, D., Petrovic, I. M., Lausević-Vuk, L., Unic-Stojanovic, D. R., & Borzanovic, M. D. (2015) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2015.11.011 · Cited by 21
Jamaati, H., Najafi, A., Kahe, F., Karimi, Z., Ahmadi, Z. H., Bolursaz, M. R., Masjedi, M. R., Velayati, A. A., & Hashemian, S. (2015) · Indian Journal of Critical Care Medicine · doi:10.4103/0972-5229.167033 · Cited by 20
Perioperative Strokes and Early Outcomes in Mitral Valve Surgery: A Nationwide Analysis
Udesh, R., Mehta, A. M., Gleason, T. G., Wechsler, L. R., & Thirumala, P. D. (2016) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2016.12.006 · Cited by 19
Performance of the EuroSCORE II and the STS score for cardiac surgery in octogenarians
Kuplay, H., Erdoğan, S. B., Baştopçu, M., Karpuzoğlu, O. E., & Er, H. (2021) · Turkish Journal of Thoracic and Cardiovascular Surgery · doi:10.5606/tgkdc.dergisi.2021.21403 · Cited by 17
Contemporary risk models for infective endocarditis surgery: a narrative review
Agrawal, A., Arockiam, A. D., Jamil, Y., Dahdah, J. E., Honnekeri, B., Helou, M. C. E., Kassab, J. T., & Wang, T. K. M. (2023) · Therapeutic Advances in Cardiovascular Disease · doi:10.1177/17539447231193291 · Cited by 16
Association Among Surgeon Experience, Patient Risk, and Outcomes in Coronary Artery Bypass Grafting
Han, J. J., Bojko, M. M., Duda, M. M., Iyengar, A., Kelly, J. J., Patrick, W. L., Helmers, M. R., & Atluri, P. (2020) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2020.04.122 · Cited by 16
Vuilliomenet, T., Gebhard, C. E., Bizzozero, C. A., Glauser, S., Blum, S., Buser, A. S., Bolliger, D., Grapow, M. T. R., & Siegemund, M. (2018) · Interactive Cardiovascular and Thoracic Surgery · doi:10.1093/icvts/ivy330 · Cited by 15
Impact of Frailty in Cardiac Surgical Patients—Assessment, Burden, and Recommendations
Shanker, A., Upadhyay, P., Rangasamy, V., Kanchi, M., & Subramaniam, B. (2021) · Annals of Cardiac Anaesthesia · doi:10.4103/aca.aca_90_20 · Cited by 14
Clinical utility of a deep-learning mortality prediction model for cardiac surgery decision making
Allou, N., Allyn, J., Provenchère, S., Delmas, B., Braunberger, É., Oliver, M., Brux, J. L. D., Ferdynus, C., Achouh, P., Allou, N., et al. (2023) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2023.01.022 · Cited by 14
Doerr, F., Heldwein, M. B., Bayer, O., Sabashnikov, A., Weymann, A., Dohmen, P. M., Wahlers, T., & Hekmat, K. (2015) · Medical science monitor basic research/Medical science monitor. Basic research · doi:10.12659/msmbr.895004 · Cited by 14
Accuracy of EuroSCORE II in patients undergoing minimally invasive mitral valve surgery
Moscarelli, M., Bianchi, G., Margaryan, R., Cerillo, A. G., Farneti, P. A., Murzi, M., & Solinas, M. (2015) · Interactive Cardiovascular and Thoracic Surgery · doi:10.1093/icvts/ivv265 · Cited by 14
Ranucci, M., Dedda, U. D., Castelvecchio, S., Rovere, M. T. L., & Menicanti, L. (2016) · Journal of Cardiothoracic Surgery · doi:10.1186/s13019-016-0405-3 · Cited by 13
Comprehensive assessment of frailty score supplements the existing cardiac surgical risk scores
Bäck, C., Hornum, M., Jørgensen, M. B., Lorenzen, U. S., Olsen, P. S., & Møller, C. H. (2021) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezab127 · Cited by 13
Havers‐Borgersen, E., Butt, J. H., Strange, J. E., Carranza, C. L., Køber, L., & Fosbøl, E. L. (2023) · American Heart Journal · doi:10.1016/j.ahj.2023.01.006 · Cited by 13
Risk Stratification in Off-Pump Coronary Artery Bypass (OPCAB) Surgery—Role of EuroSCORE II
Borde, D. P., Asegaonkar, B., Apsingekar, P., Khade, S., Futane, S. S., Khodve, B., Annachatre, A., Puranik, M., Borgaonkar, V., Belapurkar, Y., et al. (2015) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2015.03.028 · Cited by 12
Sex-Specific Outcome after Ascending Aortic Surgery in Moderate Hypothermic Circulatory Arrest
Freundt, M., Friedrich, C., Salem, M., Panholzer, B., Huenges, K., Puehler, T., Cremer, J., & Haneya, A. (2019) · The Thoracic and Cardiovascular Surgeon · doi:10.1055/s-0039-1698409 · Cited by 11
Lloyd‐Donald, P., Lee, W.-S., Hooper, J. W., Lee, D. K., Moore, A., Chandra, N., McCall, P., Seevanayagam, S., Matalanis, G. S., Warrillow, S. J., et al. (2021) · BMC Research Notes · doi:10.1186/s13104-021-05620-w · Cited by 11
The current status of EuroSCORE II in predicting operative mortality following cardiac surgery
Subramani, S. (2020) · Annals of Cardiac Anaesthesia · doi:10.4103/aca.aca_32_19 · Cited by 11
Outcome Prediction After Coronary Surgery and Redo Surgery for Bleeding (From the KROK Registry)
Knapik, P., Cieśla, D., Saucha, W., Knapik, M., Zembala, M. O., Przybyłowski, P., Kapelak, B., Kuśmierczyk, M., Jasiński, M. J., Tobota, Z., et al. (2019) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2019.04.028 · Cited by 10
Jiang, L., Wei, X., He, P., Du, F., Liu, Y.-H., Liu, J., Chen, J.-Y., Yu, D., & Tan, N. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-014316 · Cited by 10
Fang, S.-Y., Chen, J., Chou, H., Chan, C., Wu, I., Chou, N., Wang, C., Chi, N., Huang, S., Yu, H., et al. (2023) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2023.05.028 · Cited by 9
Wei, X., Jiang, L., Liu, Y.-H., Du, F., He, P., Chen, J.-Y., Yu, D.-Q., & Tan, N. (2017) · Clinica Chimica Acta · doi:10.1016/j.cca.2017.07.019 · Cited by 9
Durand, M., Guillet, L., Moury, P.-H., Bédague, D., Martin, C., Payen, J., Chavanon, O., & Albaladejo, P. (2020) · Annals of Cardiac Anaesthesia · doi:10.4103/aca.aca_209_18 · Cited by 9
Using a Cardiogenic Shock Classification System for Predicting Postcardiotomy Shock Mortality
Wang, Y., Li, C., Wang, L., Hao, X., Wang, X., Wu, T., Hou, D., Jia, M., Yang, F., Du, Z., et al. (2025) · JACC Asia · doi:10.1016/j.jacasi.2025.01.007 · Cited by 8
Tveit, S. H., Myhre, P. L., & Omland, T. (2023) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2023.2211267 · Cited by 8
Tse, Y., Chandramouli, C., Li, H., Yu, S.-Y., Wu, M., Ren, Q. W., Chen, Y., Wong, P., Sit, K., Chan, D. T., et al. (2022) · Journal of the American Heart Association · doi:10.1161/jaha.121.024060 · Cited by 8
Bradshaw, P. J., Stobie, P. E., Einarsdóttir, K., Briffa, T. G., & Hobbs, M. (2015) · Internal Medicine Journal · doi:10.1111/imj.12762 · Cited by 8
Acute kidney injury in cardiac surgery: preoperative predictive diagnostics
Олегович, К. Н., Podoksenov, Y. K., Diakova, M. L., Boyko, A. M., & Kozlov, B. N. (2021) · Patologiya krovoobrashcheniya i kardiokhirurgiya · doi:10.21688/1681-3472-2021-1-40-51 · Cited by 8
Assmann, A. K., Assmann, A., Waßenberg, S., Kojcici, B., Schaal, N. K., Lichtenberg, A., Ennker, J., & Albert, A. (2023) · Interdisciplinary CardioVascular and Thoracic Surgery · doi:10.1093/icvts/ivad014 · Cited by 7
Ohira, S., Miyata, H., Doi, K., Motomura, N., Takamoto, S., & Yaku, H. (2016) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezw247 · Cited by 7
Xie, T., Xin, Q., Zhang, X., Tong, Y., Ren, H., Liu, C., & Zhang, J. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.972797 · Cited by 7
Borracci, R. A., Rubio, M. Á., Baldi, J., Guerrero, R. A. A., & Mauro, V. M. (2015) · Cardiology Journal · doi:10.5603/cj.a2015.0028 · Cited by 7
Modeling Hospital Length of Stay Data: Pitfalls and Opportunities
Andrei, A. (2016) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2015.12.064 · Cited by 7
Lee, C. H., Ahn, J., Lee, P. H., Han, M., Kang, S. H., Kang, S., Lee, S., Kim, Y., Lee, C. W., Park, S., et al. (2017) · Coronary Artery Disease · doi:10.1097/mca.0000000000000497 · Cited by 6
Mukaida, H., Hayashida, M., Matsushita, S., Endo, D., Oishi, A., Shimada, A., Hata, H., Kajimoto, K., Yamamoto, T., & Amano, A. (2019) · General Thoracic and Cardiovascular Surgery · doi:10.1007/s11748-019-01244-x · Cited by 6
Keller, M., Fábián, A., Bandini, A., Szijártó, Á., Tősér, Z., Merkely, B. P., Heller, T., Dürr, M.-M., Rosenberger, P., Kovács, A. D., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-89122-w · Cited by 5
Systematic Reviews of Prediction Models
Collins, P. G. S., Moons, K. G. M., Debray, T. P. A., Altman, D. G., & Riley, R. D. (2022) · Wiley eBooks · doi:10.1002/9781119099369.ch18 · Cited by 6
Nezic, D. G., Raguš, T., Mićović, S., Trajić, S., Spasojevic-Milin, B., Petrovic, I. M., Kosevic, D., & Borzanovic, M. D. (2017) · Vojnosanitetski pregled · doi:10.2298/vsp170810172n · Cited by 5
Outcomes of open heart surgery in patients with end-stage renal disease
Park, J. H., Lim, J., Lee, K. H., Jung, H., Choi, J., Cho, J., Kim, C., Kim, Y.-L., Jung, H., Kim, G., et al. (2019) · Kidney Research and Clinical Practice · doi:10.23876/j.krcp.18.0123 · Cited by 5
Kotani, S., & Sakaguchi, G. (2025) · Interdisciplinary CardioVascular and Thoracic Surgery · doi:10.1093/icvts/ivaf037 · Cited by 4
Politi, M. T., Benedetto, S. D., Ferreyra, R., Bortman, G., Piazza, A., & Capurro, C. (2024) · Revista de la Facultad de Ciencias Médicas de Córdoba · doi:10.31053/1853.0605.v81.n2.42432 · Cited by 4
Ahmad, D., Sá, M. P., Brown, J. A., Yousef, S., Wang, Y., Thoma, F. W., Chu, D., Kaczorowski, D. J., West, D. M., Bonatti, J. O., et al. (2024) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2024.05.004 · Cited by 4
Koo, C., Lee, H., Kim, T. K., Cho, Y. J., Nam, K., Choi, E., Choi, S., Yoon, S.-H., & Jeon, Y. (2019) · Scientific Reports · doi:10.1038/s41598-019-53760-8 · Cited by 4
Validación prospectiva multicéntrica del EuroSCORE II en Argentina
Borracci, R. A., Rubio, M., Baldi-Jr, J., Giorgini, J. C., & Higa, C. C. (2019) · Archivos de cardiología de México · doi:10.24875/acm.19000059 · Cited by 4
Assessment of Euroscore and SAPS III as hospital mortality predicted in cardiac surgery
Pañero, B. M., Sánchez-Casado, M., Moreira, B. C., Paredes-Astillero, I., Lopez-Almodovar, L. F., & Bustos-Molina, F. (2017) · Revista Española de Anestesiología y Reanimación (English Edition) · doi:10.1016/j.redare.2017.03.002 · Cited by 4
Reliability of EuroSCORE II to Predict Long-Term Mortality After Isolated Aortic Valve Operations
Nezic, D. G. (2016) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2015.12.018 · Cited by 4
Role of risk prediction scores in preoperative assessment of cardiac surgical patients
Subramaniam, K., Balasubramanian, S., Castor, E., Tallapaneni, P., Raghuthaman, G., & Sultan, I. S. (2025) · Best practice & research. Clinical anaesthesiology · doi:10.1016/j.bpa.2025.08.006 · Cited by 3
Chang, F., Huang, Y., Wu, V. C., Tu, H., Lin, C., Yeh, J., Cheng, Y., Chang, S., Chu, P., Chou, A., et al. (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-023-03101-5 · Cited by 3
Pro: Can we influence postoperative outcomes of frail patients after cardiac surgery?
Svetikienė, M., & Aliukaite, S. (2023) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2023.03.002 · Cited by 3
Hirnle, G., Aboul‐Hassan, S. S., Knapik, P., Tobota, Z., Maruszewski, B. J., Rogowski, J., Pawliszak, W., Bugajski, P., Deja, M. A., Hrapkowicz, T., et al. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13226863 · Cited by 3
Heyl, S., Nikkhoo, A., Wieszner, M., Fichtlscherer, S., Seeger, F. H., Aßmus, B., Luu, B., Hemmann, K., Walther, C., & Honold, J. (2020) · Archives of Medical Science - Atherosclerotic Diseases · doi:10.5114/amsad.2020.97160 · Cited by 3
Salikhanov, I., Röth, V., Gahl, B., Reid, G., Kolb, R., Dimanski, D., Kowol, B., Lang, B. M., Reuthebuch, O. T., & Berdajs, D. A. (2025) · Biomedicines · doi:10.3390/biomedicines13082023 · Cited by 2
Fuchs, T. K., Jones, C., & Breiner, M. A. (2026) · Journal of Surgical Research · doi:10.1016/j.jss.2026.05.023 · Cited by 2
Lotz‐Esquivel, S., Matarrita-Quesada, B. A., Bonilla, C. M., & Kuhn-Delgadillo, K. (2019) · Cirugía Cardiovascular · doi:10.1016/j.circv.2018.11.008 · Cited by 2
Re-exploration After Cardiac Surgery Impairs Outcome—But How to Stratify the Risk?
Bolliger, D., & Mauermann, E. (2019) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2019.05.048 · Cited by 2
Rahouma, M., Khairallah, S. M., Lau, C., Alzghari, T., Girardi, L. N., & Mick, S. (2024) · International Journal of Cardiology · doi:10.1016/j.ijcard.2024.132398 · Cited by 2
Ochoa, C. M. M., Cañas, E. M., Pérez, J. A. C., Giraldo, C. I. S., Berrío, C. G., & González-Jaramillo, N. (2015) · Revista Colombiana de Cardiología · doi:10.1016/j.rccar.2015.10.005 · Cited by 2
EuroSCORE model ARCH: ICU-stay duration prognosis after aortic arch surgery
Belov, Y. V., Komarov, R. N., Gerasimov, A. N., Alekseev, I. A., Викентьев, В. В., Shapieva, A. N., & Isaev, R. M. (2016) · Russian Journal of Cardiology and Cardiovascular Surgery · doi:10.17116/kardio20169235-45 · Cited by 2
Guida, P., Iacoviello, M., Passantino, A., & Scrutinio, D. (2017) · International Journal of Cardiology · doi:10.1016/j.ijcard.2017.04.106 · Cited by 2
Self-citationVillar, J. C., & Bermudez, P. A. (2019) · Birkhäuser advances in infectious diseases · doi:10.1007/978-3-030-00054-7_10 · Cited by 2
Unger, P., & Pepi, M. (2019) · Springer eBooks · doi:10.1007/978-3-030-23104-0_13 · Cited by 2
Liu, P.-H., Shih, H.-H., Kang, P., Pan, J., Wu, T.-H., & Wu, C.-J. (2022) · PubMed Central · doi:10.6515/acs.202207_38(4).20220128b · Cited by 2
Wilimski, R., Marszałek, M., Walkowski, B., Michalski, W., Eyileten, C., Przekop, Z., Małachowska, A., Grochowska, A., Sosnowska, M., & Kuśmierczyk, M. (2023) · Advances in Interventional Cardiology · doi:10.5114/aic.2023.131476 · Cited by 2
Pañero, B. M., Sánchez-Casado, M., Moreira, B. C., Paredes-Astillero, I., Lopez-Almodovar, L. F., & Bustos-Molina, F. (2017) · Revista Española de Anestesiología y Reanimación · doi:10.1016/j.redar.2016.11.008 · Cited by 2
Wang, P., Lü, M., Huang, Y., Sun, L., & Han, Z. (2024) · Journal of Thoracic Disease · doi:10.21037/jtd-24-24 · Cited by 1
Validation of a Risk Calculator for Surgical Repair of Primary Mitral Regurgitation
Akansel, S., Dini, M., Sündermann, S., Jacobs, S., Falk, V., Kempfert, J., & Kofler, M. (2025) · The Thoracic and Cardiovascular Surgeon · doi:10.1055/a-2650-6994 · Cited by 1
Meinberg, M., Khan, Z., Jaskari, J., Wilkman, E., Lemström, K., Särkkä, S., & Syrjälä, S. (2026) · JTCVS Open · doi:10.1016/j.xjon.2026.101610 · Cited by 1
Time of day of cardiac surgery and postoperative outcomes: exploratory findings require caution
Davies, E. A., & Szentgyörgyi, L. (2026) · Anaesthesia · doi:10.1111/anae.70175 · Cited by 1
Cai, X., Hu, D., Yan, B., Chen, J., Lin, Y., Lin, R., Lin, R., 叶军君, Su, J., Tong, S., et al. (2026) · Reviews in Cardiovascular Medicine · doi:10.31083/rcm42757 · Cited by 1
Roefs, M. M., Sartipy, U., Friberg, Ö., Daeter, E. J., van Zwet, E., Steyerberg, E. W., van Veghel, D., Houterman, S., Bramer, S., van Wijngaarden, R. A. F. D. L., et al. (2026) · Interdisciplinary CardioVascular and Thoracic Surgery · doi:10.1093/icvts/ivag076 · Cited by 1
Борисовна, К. Е., Ivanov, O. A., Budnev, D. S., & Елыкомов, В. А. (2016) · CARDIOVASCULAR THERAPY AND PREVENTION · doi:10.15829/1728-8800-2016-2-32-37 · Cited by 1
Multidimensional Frailty Instruments for Cardiac Surgery
Jabagi, H., Haddad, T., & Sun, L. Y. (2024) · Springer eBooks · doi:10.1007/978-3-031-56270-9_37 · Cited by 1
Jung, J., Kim, J., Park, J. H., Park, B., Kim, J.-W., Kim, H., & Suh, C. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14207162 · Cited by 1
Strilchuk, L. M., & Besh, D. I. (2018) · Polish Journal of Cardio-Thoracic Surgery · doi:10.5114/kitp.2018.80920 · Cited by 1
Risk stratification for cardiac surgery: Comparison in a Hong Kong population
Wong, M. K.-H., Bhatia, I., Chan, D. T., Ho, C. K.-L., & Au, T. W. (2019) · Surgical Practice · doi:10.1111/1744-1633.12391 · Cited by 1
Mihajlović, B., Redžek, A., Jaraković, M., Popov, T., Aleksandric, D., & Velicki, L. (2022) · Medicinski pregled · doi:10.2298/mpns2204083m · Cited by 1
Metadata
- Authors
- Guida, P., Mastro, F., Scrascia, G., Whitlock, R., & Paparella, D.
- Affiliations
- University of Bari Aldo Moro (IT)
- Population Health Research Institute (CA)
- Corresponding author
- Paparella, Domenico
- Venue
- The Journal of Thoracic and Cardiovascular Surgery
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 148
- Issue
- 6
- Pages
- 3049-3057.e1
- ISSN
- 0022-5223 (ISSN-L)
- OpenAlex
- W2115362859
- Cited by
- 126
- References
- 42
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 8 · 2023: 13 · 2022: 8 · 2021: 10 · 2020: 12 · 2019: 15 · 2018: 8 · 2017: 14 · 2016: 9 · 2015: 11
- FWCI
- 1.83
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Thoracic and Cardiovascular Surgery (publishedVersion)
- PubMed (publishedVersion)
- CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Valve Diseases and Treatments
- Health Sciences › Medicine › Surgery › Cardiac and Coronary Surgery Techniques
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac, Anesthesia and Surgical Outcomes
- Keywords
- EuroSCORE II, cardiac surgery, postoperative mortality, risk prediction, risk stratification, mortality prediction accuracy, coronary artery bypass grafting, valve surgery, revascularization, model validation
- MeSH terms
- Decision Support Techniques, Cardiac Surgical Procedures, Humans, Predictive Value of Tests, Risk Factors, ROC Curve, Treatment Outcome, Hospital Mortality, Risk Assessment, Area Under Curve
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