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Search: WFRF:(Gul Fahad)

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1.
  • Attia, Zachi I., et al. (author)
  • Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram
  • 2021
  • In: Mayo Clinic proceedings. - : ELSEVIER SCIENCE INC. - 0025-6196 .- 1942-5546. ; 96:8, s. 2081-2094
  • Journal article (peer-reviewed)abstract
    • Objective: To rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG). Methods: A global, volunteer consortium from 4 continents identified patients with ECGs obtained around the time of polymerase chain reaction-confirmed COVID-19 diagnosis and age- and sex-matched controls from the same sites. Clinical characteristics, polymerase chain reaction results, and raw electrocardiographic data were collected. A convolutional neural network was trained using 26,153 ECGs (33.2% COVID positive), validated with 3826 ECGs (33.3% positive), and tested on 7870 ECGs not included in other sets (32.7% positive). Performance under different prevalence values was tested by adding control ECGs from a single high-volume site. Results: The area under the curve for detection of acute COVID-19 infection in the test group was 0.767 (95% CI, 0.756 to 0.778; sensitivity, 98%; specificity, 10%; positive predictive value, 37%; negative predictive value, 91%). To more accurately reflect a real-world population, 50,905 normal controls were added to adjust the COVID prevalence to approximately 5% (2657/58,555), resulting in an area under the curve of 0.780 (95% CI, 0.771 to 0.790) with a specificity of 12.1% and a negative predictive value of 99.2%. Conclusion: Infection with SARS-CoV-2 results in electrocardiographic changes that permit the artificial intelligence-enhanced ECG to be used as a rapid screening test with a high negative predictive value (99.2%). This may permit the development of electrocardiography-based tools to rapidly screen individuals for pandemic control. (C) 2021 Mayo Foundation Medical Education and Research
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2.
  • Khan, Munema, et al. (author)
  • Jejunal diverticulosis presenting as intestinal obstruction-A case report of a rare association
  • 2023
  • In: Clinical Case Reports. - : Wiley. - 2050-0904. ; 11:3
  • Journal article (peer-reviewed)abstract
    • Jejunal diverticula are rare medical conditions with an incidence of 0.3%-2.5%, mostly discovered perioperatively. Our patient, 60 years old female, presented in an emergency with complaints of constipation, vomiting, abdominal pain, and distension. On examination, her abdomen was markedly distended with generalized tenderness. An erect abdominal X-ray revealed multiple air-fluid levels, which suggests small bowel obstruction. A diagnosis of jejunal diverticula was made on exploratory laparotomy. No evidence of granuloma or malignancy was seen on histopathological examination. Segmental resection of the affected jejunum was carried out, followed by end-to-end primary anastomosis. The patient was discharged on postoperative Day 6 with complete recovery at 2 weeks follow-up visit.
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