تصفح حسب المؤلف "Asaad, Nidal"
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Clinical presentation and outcomes of peripartum cardiomyopathy in the Middle East: a cohort from seven Arab countries
Salam, Amar M.; Ahmed, Mohamed Badie; Sulaiman, Kadhim; Singh, Rajvir; Alhashemi, Mohammed; Carr, Alison S.; Alsheikh-Ali, Alawi A.; AlHabib, Khalid F.; Al-Zakwani, Ibrahim; Panduranga, Prashanth; Asaad, Nidal; Shehab, Abdulla; AlMahmeed, Wael; Al Suwaidi, Jassim... more authors ... less authors ( Wiley , 2020 , Article)Aims: Published data on the clinical presentation of peripartum cardiomyopathy (PPCM) are very limited particularly from the Middle East. The aim of this study was to examine the clinical presentation, management, and ... -
Correlations between Resting Electrocardiogram Findings and Disease Profiles: Insights from the Qatar Biobank Cohort
Qafoud, Fatima; Kunji, Khalid; Elshrif, Mohamed; Althani, Asma; Salam, Amar; Al Suwaidi, Jassim; Darbar, Dawood; Asaad, Nidal; Saad, Mohamad... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)Background: Resting electrocardiogram (ECG) is a valuable non-invasive diagnostic tool used in clinical medicine to assess the electrical activity of the heart while the patient is resting. Abnormalities in ECG may be ... -
Demystifying Smoker's Paradox: A Propensity Score-Weighted Analysis in Patients Hospitalized With Acute Heart Failure.
Doi, Suhail A; Islam, Nazmul; Sulaiman, Kadhim; Alsheikh-Ali, Alawi A; Singh, Rajvir; Al-Qahtani, Awad; Asaad, Nidal; AlHabib, Khalid F; Al-Zakwani, Ibrahim; Al-Jarallah, Mohammed; AlMahmeed, Wael; Bulbanat, Bassam; Bazargani, Nooshin; Amin, Haitham; Al-Motarreb, Ahmed; AlFaleh, Husam; Panduranga, Prashanth; Shehab, Abdulla; Al Suwaidi, Jassim; Salam, Amar M... more authors ... less authors ( Wiley Open Access , 2019 , Article)Background Smoker's paradox has been observed with several vascular disorders, yet there are limited data in patients with acute heart failure (HF). We examined the effects of smoking in patients with acute HF using data ... -
Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram
Zachi I., Attia; Kapa, Suraj; Dugan, Jennifer; Pereira, Naveen; Noseworthy, Peter A.; Jimenez, Francisco Lopez; Cruz, Jessica; Carter, Rickey E.; DeSimone, Daniel C.; Signorino, John; Halamka, John; Chennaiah Gari, Nikhita R.; Madathala, Raja Sekhar; Platonov, Pyotr G.; Gul, Fahad; Janssens, Stefan P.; Narayan, Sanjiv; Upadhyay, Gaurav A.; Alenghat, Francis J.; Lahiri, Marc K.; Dujardin, Karl; Hermel, Melody; Dominic, Paari; Turk-Adawi, Karam; Asaad, Nidal; Svensson, Anneli; Fernandez-Aviles, Francisco; Esakof, Darryl D.; Bartunek, Jozef; Noheria, Amit; Sridhar, Arun R.; Lanza, Gaetano A.; Cohoon, Kevin; Padmanabhan, Deepak; Pardo Gutierrez, Jose Alberto; Sinagra, Gianfranco; Merlo, Marco; Zagari, Domenico; Rodriguez Escenaro, Brenda D.; Pahlajani, Dev B.; Loncar, Goran; Vukomanovic, Vladan; Jensen, Henrik K.; Farkouh, Michael E.; Luescher, Thomas F.; Su Ping, Carolyn Lam; Peters, Nicholas S.; Friedman, Paul A.... more authors ... less authors ( Elsevier , 2021 , Article)ObjectiveTo rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG). MethodsA global, volunteer consortium from 4 continents ...