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Abdelnabi, Mahmoud

Mayo Clinic

Mayo Clinic in Arizona

Citations 2

Meta-Analysis of the Diagnostic Accuracy of SVEAT, HEART, and TIMI Scores in Predicting Major Adverse Cardiac Events
Tran, Viet Nghi, Pham, Hoang Nhat, Ibrahim, Ramzi, Truong, Hong Hieu, Abdelnabi, Mahmoud, Nguyen, Chau Doan, Nguyen, Thach, Tran, Phillip , Tariq, Haider, Lee, K L, Tran, Viet Nghi, Pham, Hoang Nhat , Ibrahim, Ramzi , Abdelnabi, Mahmoud , Pathangey, Girish , Singh, Amitoj

Current Cardiology Reviews | March 20, 2026 | Volume: 22 | Issue: No issue available | Pages: No page available

10.2174/011573403x387322251203072735 Get It

aims: We assessed the diagnostic accuracy of the SVEAT score in predicting 30-day major adverse cardiac events (MACE) in comparison with the well-established HEART and TIMI scores. background: Acute chest pain (ACP) is a common symptom in emergency departments. Various risk stratification tools have been developed to assess patients presenting with ACP. The Simple Vascular Event Assessment Tool (SVEAT) is the most recent scoring system introduced, based on five variables: Symptoms of chest pain, history of Vascular disease, ECG, Age, and Troponin-I. objective: We assessed the diagnostic accuracy of the SVEAT score in predicting 30-day major adverse cardiac events (MACE) in comparison with the well-established HEART and TIMI scores. method: Following PRISMA guidelines, a systematic literature search was conducted across five databases until June 22, 2024. Four studies comprising 1,520 patients were included in this meta-analysis. The predictive accuracy of the SVEAT, HEART, and TIMI scores for 30-day MACE was assessed by the area under the receiver operating characteristic curve (AUC). Heterogeneity was evaluated using the I² statistic, with values over 75% indicating significant heterogeneity. Indirect comparisons among the scores were performed using the Z-test. result: Pooled AUC for the SVEAT score was 0.92 (95% CI: 0.86-0.98), indicating superior predictive accuracy compared to the HEART (AUC: 0.86, 95% CI: 0.81-0.92) and TIMI (AUC: 0.82, 95% CI: 0.69-0.96) scores. However, significant heterogeneity (I² = 90.6%) was observed across studies, potentially due to variations in patient demographics, clinical settings, and outcome definitions. Despite the higher AUC, indirect Z-test comparisons revealed no statistically significant differences between the scoring systems. conclusion: SVEAT score demonstrates potential as an accurate tool for predicting 30-day MACE in patients with ACP. other: N/A
Outpatient cardiovascular disease consultation wait times in the united states-mexico border regions
Abdelnabi, Mahmoud, Kanaan, Christopher, Mee, Xuan Ci , Lim, Ghee Kheng, Bcharah, George , Barry, Timothy, Lee, Justin Z, Farina, J M, Ayoub, Chadi , Lee, K L, Ibrahim, Ramzi, Griffith, Kevin N. , Pham, Hoang Nhat , Abdelnabi, Mahmoud , Arsanjani, Reza

European Journal of Preventive Cardiology | May 19, 2025 | Volume: 32 | Issue: Supplement_1 | Pages: No page available

10.1093/eurjpc/zwaf236.149 Get It

Abstract Background/Introduction Access to timely healthcare in disadvantaged areas remains essential to achieving equitable health outcomes, especially in regions facing structural and social vulnerabilities. Purpose To assess wait times for cardiovascular disease consultations in US-Mexico border regions compared to non-border regions among US Veterans. Methods This cross-sectional analysis included all veteran cardiovascular consultations referred through the Veterans Choice Program to community healthcare centers from 2014 to 2020. We obtained the average wait times in days for consultation approval, scheduling, completion, and total wait time from approval to consultation completion. All consultations were classified by county of residence as either within a US-Mexico border region or a non-border region, as per the La Paz Agreement. Multivariable linear regression analyses were performed to evaluate the impact of border status on average wait times. ARIMA modeling was completed to estimate forecasted wait times during the COVID-19 pandemic. Results A total of 485,158 consultations related to outpatient cardiovascular disease were retrieved from the VA Healthcare System. Amongst these, 461,696 of the consultations were placed in non-border regions whereas 23,462 consultations were placed in US-Mexico border regions. The most common consultation requests were made for general cardiology clinic (n=365,227), echocardiography (n=32,017), cardio-pulmonary rehabilitation (n=40,699), and cardiac stress testing (n=16,258). Wait times for cardiovascular disease consultations were not higher in US-Mexico border counties than in non-border regions. For electrophysiology consultations specifically, border counties exhibited significantly shorter total wait times (coeff = -10.81, p=0.008). Additionally, while the COVID-19 pandemic led to increased total wait times in non-border areas (Figure 1), total wait times in border regions remained stable during this period (Figure 2). Conclusions Our findings suggest that US-Mexico border region status does not result in longer wait times for cardiovascular disease consultations, with the exception of shorter wait times for electrophysiology services. This study provides important insights into the unique dynamics of healthcare access in structurally disadvantaged regions, highlighting that wait times are not a significant barrier to cardiovascular care in border areas, and emphasizes the need to consider regional differences in healthcare delivery policies.