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The Effect of Echocardiographic Findings on the Predictive Accuracy of SHFM and MAGGIC
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S Lotfi    , K Ezoji , H Shirafkan , M Shaki , N Zieaie Amiri * |
| 3.Clinical Research Development Unite of Rouhani Hospital, Babol University of Medical Sciences, Babol, I.R.Iran. , Ziaiexn@yahoo.com |
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Abstract: (21 Views) |
Background and Objective: Heart failure is a common and serious disease that is associated with high mortality. It requires accurate risk stratification for clinical management and prognosis. The aim of this study was to investigate the effect of echocardiographic hemodynamic findings on the predictive accuracy of the Seattle Heart Failure Risk Score Model (SHFM) and the Meta-Analysis Group of the Global Group on Chronic Heart Failure (MAGGIC) risk score model in determining the one-year prognosis of heart failure patients.
Methods: This study was conducted on patients with chronic heart failure who have been referred to Rouhani Babol Hospital since July 2021. The characteristics and the information records as well as the paraclinical informations were collected through a questionnaire. Patients who had the required information to calculate their survival with the rick score models were included in the study and were followed up one year after the initial visit. Finally, the findings were analyzed with SPSS v.26 software.
Findings: Of the 175 patients studied, 160 survived at the end of the one-year follow-up and 15 died. The MAGGIC hazard score model (AUC=0.93) performed better in predicting one-year survival than the SHFM model (AUC=0.89). In terms of right ventricular size, among the 15 patients who died during the 1-year follow-up, 12 (80%) had no dilated right ventricle and 3 (20%) had moderate right ventricular dilation (p=0.026). Among the 15 patients who died, 5 (33.3%) had normal inferior vena cava size and 10 (66.7%) had inferior vena cava dilation (p=0.007).There was no significant relationship between right ventricular function and patient survival (p=0.579).
Conclusion: Right ventricle dilation and IVC dilation have a significant relationship with the survival of patients. Also, both SHFM and MAGGIC risk score models were able to efficiently predict the survival of heart failure patients, MAGGIC model performed better than SHFM. |
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| Keywords: Heart Failure, Risk Factors, Echocardiography, Prognosis. |
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Type of Study: Cohort |
Subject:
Cardiovascular
Received: 2024/11/18 | Accepted: 2025/05/10
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