A
Arif Hussain
Researcher at King Abdulaziz Medical City
Publications - 18
Citations - 596
Arif Hussain is an academic researcher from King Abdulaziz Medical City. The author has contributed to research in topics: Medicine & Cardiomyopathy. The author has an hindex of 6, co-authored 18 publications receiving 433 citations. Previous affiliations of Arif Hussain include National Guard Health Affairs.
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Journal ArticleDOI
International Evidence-Based Recommendations for Focused Cardiac Ultrasound
Gabriele Via,Arif Hussain,Mike Wells,Robert F. Reardon,Mahmoud Elbarbary,Vicki E. Noble,James W. Tsung,Aleksandar N. Neskovic,Susanna Price,Achikam Oren-Grinberg,Andrew S. Liteplo,Ricardo Cordioli,Nitha Naqvi,Philippe Rola,Jan Poelaert,Tatjana Golob Guliĉ,Erik Sloth,Arthur J. Labovitz,Bruce J. Kimura,Raoul Breitkreutz,Navroz Masani,Justin Bowra,Daniel Talmor,Fabio Guarracino,Adrian Goudie,Wang Xiaoting,Rajesh Chawla,Maurizio Galderisi,Micheal Blaivas,Tomislav Petrovic,Enrico Storti,Luca Neri,Lawrence Melniker +32 more
TL;DR: For the first time, evidence-based clinical recommendations comprehensively address this branch of point-of-care ultrasound, providing a framework for FoCUS to standardize its application in different clinical settings around the world.
Journal ArticleDOI
Multi-organ point-of-care ultrasound for COVID-19 (PoCUS4COVID): international expert consensus.
Arif Hussain,Gabriele Via,Lawrence Melniker,Alberto Goffi,Guido Tavazzi,Luca Neri,Tomás Villén,Richard Hoppmann,Francesco Mojoli,Vicki E. Noble,Laurent Zieleskiewicz,Pablo Blanco,Irene W. Y. Ma,Mahathar Abd Wahab,Abdulmohsen Alsaawi,Majid Al Salamah,Martin Balik,Diego Barca,Karim Bendjelid,Belaid Bouhemad,Pablo Bravo-Figueroa,Raoul Breitkreutz,Juan Jose Calderon,Jim Connolly,Roberto Copetti,Francesco Corradi,Anthony J. Dean,André Y. Denault,Deepak Govil,Carmela Graci,Young Rock Ha,Laura Hurtado,Toru Kameda,Michael J. Lanspa,Christian B. Laursen,Francis Chun Yue Lee,Rachel Liu,Massimiliano Meineri,Miguel Montorfano,Peiman Nazerian,Bret P. Nelson,Aleksandar N. Neskovic,Ramon Nogue,Adi Osman,José Pazeli,Elmo Pereira-Junior,Tomislav Petrovic,Emanuele Pivetta,Jan Poelaert,Susanna Price,Gregor Prosen,Shalim J Rodríguez,Philippe Rola,Colin Royse,Colin Royse,Yale Tung Chen,Mike Wells,Adrian Wong,Wang Xiaoting,Wang Zhen,Yaseen M. Arabi +60 more
TL;DR: In this paper, an expert panel from 27 countries and 6 continents with considerable experience of direct application of PoCUS on COVID-19 patients presents evidence-based consensus using GRADE methodology for the quality of evidence and an expedited, modified-Delphi process for the strength of expert consensus.
Journal ArticleDOI
Use of combined cardiac and lung ultrasound to predict weaning failure in elderly, high-risk cardiac patients: a pilot study.
Belaid Bouhemad,Francesco Mojoli,Nicolas Nowobilski,Arif Hussain,Isabelle Rouquette,Pierre-Grégoire Guinot,Silvia Mongodi +6 more
TL;DR: In elderly patients, global and anterolateral LUS scores were associated with weaning and extubation failures while echocardiographic indices of filling pressures were not, and were not correlated to E /Ea.
International Liaison Committee on Focused Cardiac UltraSound (ILC-FoCUS)
Gabriele Via,Arif Hussain,Mike Wells,Robert F. Reardon,Mahmoud Elbarbary,Ve Noble,Jw Tsung,An Neskovic,Susanna Price,Achikam Oren-Grinberg +9 more
Journal ArticleDOI
Canadian Internal Medicine Ultrasound (CIMUS) Expert Consensus Statement on the Use of Lung Ultrasound for the Assessment of Medical Inpatients With Known or Suspected Coronavirus Disease 2019.
Irene W. Y. Ma,Irene W. Y. Ma,Arif Hussain,Michael Wagner,Brandie L. Walker,Alex Chee,Shane Arishenkoff,Brian Buchanan,Rachel Liu,Gregory Mints,Tanping Wong,Vicki E. Noble,Ana Claudia Tonelli,Elaine Dumoulin,Daniel Miller,Christopher A. Hergott,Andrew S. Liteplo +16 more
TL;DR: The use of LUS is recommended to support the diagnosis of pneumonitis but not diagnose COVID-19, and to rule out concerning ultrasound features, monitor patients with a change in the clinical status, and avoid unnecessary additional imaging for patients whose pretest probability of an alternative or superimposed diagnosis is low.