Browsing by Author "Khairy, Ahmed"
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- R2CHA2DS2-VA predictsthe cardiovascular risk after carotid endarterectomyPublication . Quesado, João; Dias, Lara; Pereira-Macedo, Juliana; Duarte-Gamas, Luís; Khairy, Ahmed; Pinheiro, Marina; Reis, Pedro; Andrade, José P.; Rocha-Neves, João; Marreiros, AnaBackground: R2CHA2DS2-VA score has been used to predict short and long-term outcomes in many cardiovascular diseases. This study aims to validate the R2CHA2DS2-VA score as a long-term major adverse cardiovascular events (MACE) predictor after carotid endarterectomy (CEA). Secondary outcomes were also assessed regarding the incidence of all-cause mortality, acute myocardial infarction (AMI), major adverse limb events (MALE), and acute heart failure (AHF).Methods: From January 2012 to December 2021, patients (n 1/4 205) from a Portuguese tertiary care and referral center that underwent CEA with regional anesthesia (RA) for carotid stenosis (CS) were selected from a previously collected prospective database, and a posthoc analysis was performed. Demographics and comorbidities were registered. Clinical adverse events were assessed 30 days after the procedure and in the subsequent long-term surveillance period. Statistical analysis was performed by the Kaplan-Meier method and Cox proportional hazards regression.Results: Of the patients enrolled, 78.5% were males with a mean age of 70.44 & PLUSMN; 8.9 years. Higher scores of R2CHA2DS2-VA were associated with long-term MACE (adjusted hazard ratio (aHR) 1.390; 95% confidence interval (CI) 1.173-1.647); and mortality (aHR 1.295; 95% CI 1.08-1.545). Conclusions: This study demonstrated the potential of the R2CHA2DS2-VA score to predict long-term outcomes, such as AMI, AHF, MACE, and all-cause mortality, in a population of pa-tients submitted to carotid endarterectomy.
- The Gupta perioperative risk for myocardial infarct or cardiac arrest (MICA) calculator as an intraoperative neurologic deficit predictor in carotid endarterectomyPublication . Pereira-Macedo, Juliana; Fernandes, Beatriz; Duarte-Gamas, Luís; Pereira-Neves, António; Mourão, Joana; Khairy, Ahmed; Andrade, José Paulo; Marreiros, Ana; Rocha-Neves, JoãoBackground: Patients undergoing carotid endarterectomy (CEA) may experiment intraoperative neurologic deficits (IND) during carotid cross-clamping. This work aimed to assess the impact of the Gupta Perioperative Myocardial Infarct or Cardiac Arrest (MICA) risk calculator in the IND. Methods: From January 2012 to April 2021, patients undergoing CEA with regional anaesthesia for carotid stenosis with IND and consecutively control operated patients without IND were selected. A regressive predictive model was created, and a receiver operating characteristic (ROC) curve was applied for comparison. A multivariable dependence analysis was conducted using a classification and regression tree (CRT) algorithm. Results: A total of 97 out of 194 included patients developed IND. Obesity showed aOR = 4.01 (95% CI: 1.66–9.67) and MICA score aOR = 1.21 (1.03–1.43). Higher contralateral stenosis showed aOR = 1.29 (1.08–1.53). The AUROC curve was 0.656. The CRT algorithm differentiated obese patients with a MICA score ≥ 8. Regarding non-obese patients, the model identified the presence of contralateral stenosis ≥ 55% with a MICA ≥ 10. Conclusion: MICA score might play an additional role in stratifying patients for IND in CEA. Obesity was determined as the best discrimination factor, followed by a score ≥ 8. A higher ipsilateral stenosis degree is suggested to have a part in avoiding procedure-related IND. Larger studies might validate the benefit of MICA score regarding the risk of IND.