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Genetic Examination of Hematological Parameters in SARS-CoV-2 Infection and COVID-19.
Rowland B, Sun Q, Wang W, Miller-Fleming T, Cox N, Graff M, Faucon A, Shuey MM, Blue EE, Auer P, Li Y, Sankaran VG, Reiner AP, Raffield LM. Rowland B, et al. medRxiv [Preprint]. 2022 Feb 28:2022.02.28.22271562. doi: 10.1101/2022.02.28.22271562. medRxiv. 2022. Update in: Blood Cells Mol Dis. 2023 Nov;103:102782. doi: 10.1016/j.bcmd.2023.102782 PMID: 35262092 Free PMC article. Updated. Preprint.
It is unclear whether inter-individual variability in baseline hematological parameters prior to acute infection influences risk of SARS-CoV-2 infection and progression to severe COVID-19. ...CONCLUSIONS: We did not find con …
It is unclear whether inter-individual variability in baseline hematological parameters prior to acute infection influences ri …
Genetic examination of hematological parameters in SARS-CoV-2 infection and COVID-19.
Sun Q, Rowland B, Wang W, Miller-Fleming TW, Cox N, Graff M, Faucon A, Shuey MM, Blue EE, Auer P, Li Y, Sankaran VG, Reiner AP, Raffield LM. Sun Q, et al. Blood Cells Mol Dis. 2023 Nov;103:102782. doi: 10.1016/j.bcmd.2023.102782. Epub 2023 Jul 20. Blood Cells Mol Dis. 2023. PMID: 37558590 Free PMC article.
We investigated whether inter-individual variability in baseline hematological traits influences risk of acute SARS-CoV-2 infection or progression to severe COVID-19. ...In conclusion, we did not find convincing evidence of relatio …
We investigated whether inter-individual variability in baseline hematological traits influences risk of acute SARS-CoV …
Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm.
Asteris PG, Gandomi AH, Armaghani DJ, Kokoris S, Papandreadi AT, Roumelioti A, Papanikolaou S, Tsoukalas MZ, Triantafyllidis L, Koutras EI, Bardhan A, Mohammed AS, Naderpour H, Paudel S, Samui P, Ntanasis-Stathopoulos I, Dimopoulos MA, Terpos E. Asteris PG, et al. Eur J Intern Med. 2024 Jul;125:67-73. doi: 10.1016/j.ejim.2024.02.037. Epub 2024 Mar 8. Eur J Intern Med. 2024. PMID: 38458880
A database of 1596 patients with COVID-19 was used; it was divided into 1257 training datasets (80 % of the database) for training the algorithms and 339 testing datasets (20 % of the database) to check the reliability of the algorithms. ...In conclusion, our …
A database of 1596 patients with COVID-19 was used; it was divided into 1257 training datasets (80 % of the database) for trai …
G6PD deficiency and severity of COVID19 pneumonia and acute respiratory distress syndrome: tip of the iceberg?
Youssef JG, Zahiruddin F, Youssef G, Padmanabhan S, Ensor J, Pingali SR, Zu Y, Sahay S, Iyer SP. Youssef JG, et al. Ann Hematol. 2021 Mar;100(3):667-673. doi: 10.1007/s00277-021-04395-1. Epub 2021 Jan 13. Ann Hematol. 2021. PMID: 33439304 Free PMC article.
The severe pneumonia caused by the human coronavirus (hCoV)-SARS-CoV-2 has inflicted heavy casualties, especially among the elderly and those with co-morbid illnesses irrespective of their age. ...Our clinical series ascribes a possible biological role …
The severe pneumonia caused by the human coronavirus (hCoV)-SARS-CoV-2 has inflicted heavy casualties, especiall …
Routine blood analysis greatly reduces the false-negative rate of RT-PCR testing for Covid-19.
Ferrari D, Sabetta E, Ceriotti D, Motta A, Strollo M, Banfi G, Locatelli M. Ferrari D, et al. Acta Biomed. 2020 Sep 7;91(3):e2020003. doi: 10.23750/abm.v91i3.9843. Acta Biomed. 2020. PMID: 32921701 Free PMC article.
Amplification of viral RNA by RT-PCR represents the gold standard for confirmation of infection, yet it showed false-negative rates as large as 15-20% which may jeopardize the effect of the restrictive measures taken by governments. We previously showed that several hematologi …
Amplification of viral RNA by RT-PCR represents the gold standard for confirmation of infection, yet it showed false-negative rates as large …
Retinoblastoma programme outcome over a 10-year period in Lebanon: assessment of potential impact of the pandemic and economic crisis.
Al-Haddad C, Wehbi Z, Slim A, Hmede A, Jurdi Kheir W, Saab R, Nawfal C, Bechara E. Al-Haddad C, et al. Eye (Lond). 2024 Nov 19. doi: 10.1038/s41433-024-03465-8. Online ahead of print. Eye (Lond). 2024. PMID: 39562725
Parameters included age at diagnosis, gender, nationality, tumour characteristics, treatment modalities, follow-up duration, imaging results, and genetic testing outcomes. ...Ocular salvage rate tended to increase from 54.9% to 72.2% after 2019 in the bilater …
Parameters included age at diagnosis, gender, nationality, tumour characteristics, treatment modalities, follow-up duration, imaging …