Ability of emergency medicine clinicians to predict COVID-19 in their patients

doi:10.1016/j.ajem.2021.09.001

. 2022 Jun:56:329-331.

doi: 10.1016/j.ajem.2021.09.001. Epub 2021 Sep 3.

Ability of emergency medicine clinicians to predict COVID-19 in their patients

Johnathan M Sheele¹, Albertha V Lalljie², Sheena Fletcher³, Michael Heckman⁴, Alex Hochwald⁵, Leslie V Simon⁴

Affiliations

¹ Department of Emergency Medicine, Mayo Clinic, Jacksonville, FL, United States of America. Electronic address: sheele.johnathan@mayo.edu.
² Department of Research Trainee, Mayo Clinic, Jacksonville, FL, United States of America.
³ Mayo Clinic Alix School of Medicine, Mayo Clinic, Jacksonville, FL, United States of America.
⁴ Division of Clinical Trials and Biostatistics, Mayo Clinic, Jacksonville, FL, United States of America.
⁵ Department of Emergency Medicine, Mayo Clinic, Jacksonville, FL, United States of America.

PMID: 34509327
PMCID: PMC8414838
DOI: 10.1016/j.ajem.2021.09.001

Ability of emergency medicine clinicians to predict COVID-19 in their patients

Johnathan M Sheele et al. Am J Emerg Med. 2022 Jun.

. 2022 Jun:56:329-331.

doi: 10.1016/j.ajem.2021.09.001. Epub 2021 Sep 3.

Authors

Johnathan M Sheele¹, Albertha V Lalljie², Sheena Fletcher³, Michael Heckman⁴, Alex Hochwald⁵, Leslie V Simon⁴

Affiliations

¹ Department of Emergency Medicine, Mayo Clinic, Jacksonville, FL, United States of America. Electronic address: sheele.johnathan@mayo.edu.
² Department of Research Trainee, Mayo Clinic, Jacksonville, FL, United States of America.
³ Mayo Clinic Alix School of Medicine, Mayo Clinic, Jacksonville, FL, United States of America.
⁴ Division of Clinical Trials and Biostatistics, Mayo Clinic, Jacksonville, FL, United States of America.
⁵ Department of Emergency Medicine, Mayo Clinic, Jacksonville, FL, United States of America.

PMID: 34509327
PMCID: PMC8414838
DOI: 10.1016/j.ajem.2021.09.001

No abstract available

PubMed Disclaimer

Conflict of interest statement

Declaration of Competing Interest All authors report no conflicts of interest. External funding. None.

Figures

**Fig. 1**
Boxplots of COVID pretest probability COVID-19 negative and positive patients.

See this image and copyright information in PMC

Cited by

Immunohematologic Biomarkers in COVID-19: Insights into Pathogenesis, Prognosis, and Prevention.
Sweet DR, Freeman ML, Zidar DA. Sweet DR, et al. Pathog Immun. 2023 Jun 26;8(1):17-50. doi: 10.20411/pai.v8i1.572. eCollection 2023. Pathog Immun. 2023. PMID: 37427016 Free PMC article. Review.

References

1. Wynants L., Van Calster B., Collins G.S., Riley R.D., Heinze G., Schuit E., et al. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. BMJ. 2020 Apr;7:369. - PMC - PubMed
1. Shamsoddin E. Can medical practitioners rely on prediction models for COVID-19? A systematic review. Evid Based Dent. 2020 Sep;21(3):84–86. - PMC - PubMed
1. Nazerian P., Morello F., Prota A., Betti L., Lupia E., Apruzzese L., et al. ED COVID-19 investigators. Diagnostic accuracy of physician’s gestalt in suspected COVID-19: prospective bicentric study. Acad Emerg Med. 2021 Apr;28(4):404–411. - PMC - PubMed
1. Peyrony O., Marbeuf-Gueye C., Truong V., Giroud M., Rivière C., Khenissi K., et al. Accuracy of emergency department clinical findings for diagnosis of coronavirus disease 2019. Ann Emerg Med. 2020 Oct 1;76(4):405–412. - PMC - PubMed
1. Dale A.P., Marchello C., Ebell M.H. Clinical gestalt to diagnose pneumonia, sinusitis, and pharyngitis: a meta-analysis. British J Gen Pract. 2019 Jul 1;69(684):e444–e453. - PMC - PubMed

Publication types

Actions

MeSH terms

Actions
Actions
Actions
Actions
Actions

LinkOut - more resources

Full Text Sources
Medical
- MedlinePlus Health Information

[1] Wynants L., Van Calster B., Collins G.S., Riley R.D., Heinze G., Schuit E., et al. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. BMJ. 2020 Apr;7:369. - PMC - PubMed

[2] Wynants L., Van Calster B., Collins G.S., Riley R.D., Heinze G., Schuit E., et al. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. BMJ. 2020 Apr;7:369. - PMC - PubMed

[3] Shamsoddin E. Can medical practitioners rely on prediction models for COVID-19? A systematic review. Evid Based Dent. 2020 Sep;21(3):84–86. - PMC - PubMed

[4] Shamsoddin E. Can medical practitioners rely on prediction models for COVID-19? A systematic review. Evid Based Dent. 2020 Sep;21(3):84–86. - PMC - PubMed

[5] Nazerian P., Morello F., Prota A., Betti L., Lupia E., Apruzzese L., et al. ED COVID-19 investigators. Diagnostic accuracy of physician’s gestalt in suspected COVID-19: prospective bicentric study. Acad Emerg Med. 2021 Apr;28(4):404–411. - PMC - PubMed

[6] Nazerian P., Morello F., Prota A., Betti L., Lupia E., Apruzzese L., et al. ED COVID-19 investigators. Diagnostic accuracy of physician’s gestalt in suspected COVID-19: prospective bicentric study. Acad Emerg Med. 2021 Apr;28(4):404–411. - PMC - PubMed

[7] Peyrony O., Marbeuf-Gueye C., Truong V., Giroud M., Rivière C., Khenissi K., et al. Accuracy of emergency department clinical findings for diagnosis of coronavirus disease 2019. Ann Emerg Med. 2020 Oct 1;76(4):405–412. - PMC - PubMed

[8] Peyrony O., Marbeuf-Gueye C., Truong V., Giroud M., Rivière C., Khenissi K., et al. Accuracy of emergency department clinical findings for diagnosis of coronavirus disease 2019. Ann Emerg Med. 2020 Oct 1;76(4):405–412. - PMC - PubMed

[9] Dale A.P., Marchello C., Ebell M.H. Clinical gestalt to diagnose pneumonia, sinusitis, and pharyngitis: a meta-analysis. British J Gen Pract. 2019 Jul 1;69(684):e444–e453. - PMC - PubMed

[10] Dale A.P., Marchello C., Ebell M.H. Clinical gestalt to diagnose pneumonia, sinusitis, and pharyngitis: a meta-analysis. British J Gen Pract. 2019 Jul 1;69(684):e444–e453. - PMC - PubMed

Save citation to file

Email citation

Add to Collections

Add to My Bibliography

Your saved search

Create a file for external citation management software

Your RSS Feed

Ability of emergency medicine clinicians to predict COVID-19 in their patients

Affiliations

Ability of emergency medicine clinicians to predict COVID-19 in their patients

Authors

Affiliations

Conflict of interest statement

Figures

Similar articles

Cited by

References

Publication types

MeSH terms

LinkOut - more resources

Full Text Sources

Medical