Ghazi Saud D Alotaibi

Dr. Ghazi Saud D Alotaibi

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 August 2016 in The American Journal of Medicine
Verified
Journal Article
Closed access
GAGhazi Saud D Alotaibi
Ghazi Saud D Alotaibi
CWCynthia Wu
Cynthia Wu
ASAmbikaipakan Senthilselvan
Ambikaipakan Senthilselvan
MMM. Sean McMurtry
M. Sean McMurtry

17 February 2016 in Annals of Surgical Oncology
Verified
Journal Article
Closed access
PDF file
AFAndrei Fagarasanu
Andrei Fagarasanu
GAGhazi Saud D Alotaibi
Ghazi Saud D Alotaibi
RHRamona Hrimiuc
Ramona Hrimiuc
ALAgnes Y. Y. Lee
Agnes Y. Y. Lee
CWCynthia Wu
Cynthia Wu

1 April 2015 in Vascular Medicine
Verified
Journal Article
Open access
GAGhazi Saud D Alotaibi
Ghazi Saud D Alotaibi
CWCynthia Wu
Cynthia Wu
ASAmbikaipakan Senthilselvan
Ambikaipakan Senthilselvan
MMM Sean McMurtry
M Sean McMurtry
The purpose of this study was to evaluate the accuracy of using a combination of International Classification of Diseases (ICD) diagnostic codes and imaging procedure codes for identifying deep vein thrombosis (DVT) and pulmonary embolism (PE) within administrative databases. Information from the Alberta Health (AH) inpatients and ambulatory care administrative databases in Alberta, Canada was obtained for subjects with a documented imaging study result performed at a large teaching hospital in Alberta to exclude venous thromboembolism (VTE) between 2000 and 2010. In 1361 randomly-selected patients, the proportion of patients correctly classified by AH administrative data, using both ICD diagnostic codes and procedure codes, was determined for DVT and PE using diagnoses documented in patient charts as the gold standard. Of the 1361 patients, 712 had suspected PE and 649 had suspected DVT. The sensitivities for identifying patients with PE or DVT using administrative data were 74.83% (95% confidence interval [CI]: 67.01–81.62) and 75.24% (95% CI: 65.86–83.14), respectively. The specificities for PE or DVT were 91.86% (95% CI: 89.29–93.98) and 95.77% (95% CI: 93.72–97.30), respectively. In conclusion, when coupled with relevant imaging codes, VTE diagnostic codes obtained from administrative data provide a relatively sensitive and very specific method to ascertain acute VTE.

1 October 2013 in The Journal of Arthroplasty
Verified
Journal Article
Closed access
KAKhalid Alsaleh
Khalid Alsaleh
GAGhazi Saud D Alotaibi
Ghazi Saud D Alotaibi
HAHind S. Almodaimegh
Hind S. Almodaimegh
AAAamer A. Aleem
Aamer A. Aleem
CKC. Tom Kouroukis
C. Tom Kouroukis

1 August 2013 in Thrombosis Research
Verified
Journal Article
Closed access
GAGhazi Saud D Alotaibi
Ghazi Saud D Alotaibi
HAHind Almodaimegh
Hind Almodaimegh
MMM. Sean McMurtry
M. Sean McMurtry
CWCynthia Wu
Cynthia Wu

1 February 2015 in Thrombosis Research
Verified
Journal Article
Closed access
CWCynthia Wu
Cynthia Wu
GAGhazi Saud D Alotaibi
Ghazi Saud D Alotaibi
KAKhalid Alsaleh
Khalid Alsaleh
LLLori-Ann Linkins
Lori-Ann Linkins
MMM. Sean McMurtry
M. Sean McMurtry