Skip to main content
Top
Published in: Endocrine 3/2020

Open Access 01-12-2020 | SARS-CoV-2 | Original Article

Diabetes mellitus is a risk factor for prolonged SARS-CoV-2 viral shedding in lower respiratory tract samples of critically ill patients

Authors: Niccolò Buetti, Pierpaolo Trimboli, Timothy Mazzuchelli, Elia Lo Priore, Carlo Balmelli, Alexandra Trkola, Marco Conti, Gladys Martinetti, Luigia Elzi, Alessandro Ceschi, Vera Consonni, Adam Ogna, Valentina Forni-Ogna, Enos Bernasconi

Published in: Endocrine | Issue 3/2020

Login to get access

Abstract

Purpose

The length of time a critically ill coronavirus disease 2019 (COVID-19) patient remains infectious and should therefore be isolated remains unknown. This prospective study was undertaken in critically ill patients to evaluate the reliability of single negative real-time polymerase chain reaction (RT-PCR) in lower tracheal aspirates (LTA) in predicting a second negative test and to analyze clinical factors potentially influencing the viral shedding.

Methods

From April 9, 2020 onwards, intubated COVID-19 patients treated in the intensive care unit were systematically evaluated for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by RT-PCR of nasopharyngeal swabs and LTA. The time to negativity was defined as the time between the onset of symptoms and the viral clearance in LTA. In order to identify risk factors for prolonged viral shedding, we used univariate and multivariate Cox proportional hazards models.

Results

Forty-eight intubated SARS-CoV-2 patients were enrolled. Overall, we observed that the association of the first negative RT-PCR with a second negative result was 96.7%. Median viral shedding was 25 (IQR: 21.5–28) days since symptoms’ onset. In the univariate Cox model analysis, type 2 diabetes mellitus was associated with a prolonged viral RNA shedding (hazard ratio [HR]: 0.41, 95% CI: 0.06–3.11, p = 0.04). In the multivariate Cox model analysis, type 2 diabetes was associated with a prolonged viral RNA shedding (HR: 0.31, 95% CI: 0.11–0.89, p = 0.029).

Conclusion

Intubated patients with type 2 diabetes mellitus may have prolonged SARS-CoV-2 shedding. In critically ill COVID-19 patients, one negative LTA should be sufficient to assess and exclude infectivity.
Literature
1.
go back to reference R. Wolfel, V.M. Corman, W. Guggemos, M. Seilmaier, S. Zange, M.A. Muller, D. Niemeyer, T.C. Jones, P. Vollmar, C. Rothe, M. Hoelscher, T. Bleicker, S. Brunink, J. Schneider, R. Ehmann, K. Zwirglmaier, C. Drosten, C. Wendtner, Virological assessment of hospitalized patients with COVID-2019. Nature (2020). https://doi.org/10.1038/s41586-020-2196-x R. Wolfel, V.M. Corman, W. Guggemos, M. Seilmaier, S. Zange, M.A. Muller, D. Niemeyer, T.C. Jones, P. Vollmar, C. Rothe, M. Hoelscher, T. Bleicker, S. Brunink, J. Schneider, R. Ehmann, K. Zwirglmaier, C. Drosten, C. Wendtner, Virological assessment of hospitalized patients with COVID-2019. Nature (2020). https://​doi.​org/​10.​1038/​s41586-020-2196-x
7.
go back to reference S. Zheng, J. Fan, F. Yu, B. Feng, B. Lou, Q. Zou, G. Xie, S. Lin, R. Wang, X. Yang, W. Chen, Q. Wang, D. Zhang, Y. Liu, R. Gong, Z. Ma, S. Lu, Y. Xiao, Y. Gu, J. Zhang, H. Yao, K. Xu, X. Lu, G. Wei, J. Zhou, Q. Fang, H. Cai, Y. Qiu, J. Sheng, Y. Chen, T. Liang, Viral load dynamics and disease severity in patients infected with SARS-CoV-2 in Zhejiang province, China, January-March 2020: retrospective cohort study. BMJ 369, m1443 (2020). https://doi.org/10.1136/bmj.m1443CrossRefPubMedPubMedCentral S. Zheng, J. Fan, F. Yu, B. Feng, B. Lou, Q. Zou, G. Xie, S. Lin, R. Wang, X. Yang, W. Chen, Q. Wang, D. Zhang, Y. Liu, R. Gong, Z. Ma, S. Lu, Y. Xiao, Y. Gu, J. Zhang, H. Yao, K. Xu, X. Lu, G. Wei, J. Zhou, Q. Fang, H. Cai, Y. Qiu, J. Sheng, Y. Chen, T. Liang, Viral load dynamics and disease severity in patients infected with SARS-CoV-2 in Zhejiang province, China, January-March 2020: retrospective cohort study. BMJ 369, m1443 (2020). https://​doi.​org/​10.​1136/​bmj.​m1443CrossRefPubMedPubMedCentral
8.
go back to reference D. Yan, X.Y. Liu, Y.N. Zhu, L. Huang, B.T. Dan, G.J. Zhang, Y.H. Gao, Factors associated with prolonged viral shedding and impact of Lopinavir/Ritonavir treatment in hospitalised non-critically ill patients with SARS-CoV-2 infection. Eur. Respir. J. (2020). https://doi.org/10.1183/13993003.00799-2020 D. Yan, X.Y. Liu, Y.N. Zhu, L. Huang, B.T. Dan, G.J. Zhang, Y.H. Gao, Factors associated with prolonged viral shedding and impact of Lopinavir/Ritonavir treatment in hospitalised non-critically ill patients with SARS-CoV-2 infection. Eur. Respir. J. (2020). https://​doi.​org/​10.​1183/​13993003.​00799-2020
11.
go back to reference V.M. Corman, O. Landt, M. Kaiser, R. Molenkamp, A. Meijer, D.K. Chu, T. Bleicker, S. Brunink, J. Schneider, M.L. Schmidt, D.G. Mulders, B.L. Haagmans, B. van der Veer, S. van den Brink, L. Wijsman, G. Goderski, J.L. Romette, J. Ellis, M. Zambon, M. Peiris, H. Goossens, C. Reusken, M.P. Koopmans, C. Drosten, Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro. Surveill. 25(3) (2020). https://doi.org/10.2807/1560-7917.ES.2020.25.3.2000045 V.M. Corman, O. Landt, M. Kaiser, R. Molenkamp, A. Meijer, D.K. Chu, T. Bleicker, S. Brunink, J. Schneider, M.L. Schmidt, D.G. Mulders, B.L. Haagmans, B. van der Veer, S. van den Brink, L. Wijsman, G. Goderski, J.L. Romette, J. Ellis, M. Zambon, M. Peiris, H. Goossens, C. Reusken, M.P. Koopmans, C. Drosten, Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro. Surveill. 25(3) (2020). https://​doi.​org/​10.​2807/​1560-7917.​ES.​2020.​25.​3.​2000045
12.
go back to reference H.G. Muller, J.L. Wang, Hazard rate estimation under random censoring with varying kernels and bandwidths. Biometrics 50(1), 61–76 (1994)CrossRefPubMed H.G. Muller, J.L. Wang, Hazard rate estimation under random censoring with varying kernels and bandwidths. Biometrics 50(1), 61–76 (1994)CrossRefPubMed
14.
go back to reference F. Rubino, S.A. Amiel, P. Zimmet, G. Alberti, S. Bornstein, R.H. Eckel, G. Mingrone, B. Boehm, M.E. Cooper, Z. Chai, S. Del Prato, L. Ji, D. Hopkins, W.H. Herman, K. Khunti, J.C. Mbanya, E. Renard, New-onset diabetes in Covid-19. N. Engl. J. Med. (2020). https://doi.org/10.1056/NEJMc2018688 F. Rubino, S.A. Amiel, P. Zimmet, G. Alberti, S. Bornstein, R.H. Eckel, G. Mingrone, B. Boehm, M.E. Cooper, Z. Chai, S. Del Prato, L. Ji, D. Hopkins, W.H. Herman, K. Khunti, J.C. Mbanya, E. Renard, New-onset diabetes in Covid-19. N. Engl. J. Med. (2020). https://​doi.​org/​10.​1056/​NEJMc2018688
17.
go back to reference W. Guo, M. Li, Y. Dong, H. Zhou, Z. Zhang, C. Tian, R. Qin, H. Wang, Y. Shen, K. Du, L. Zhao, H. Fan, S. Luo, D. Hu, Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab. Res. Rev. e3319 (2020). https://doi.org/10.1002/dmrr.3319 W. Guo, M. Li, Y. Dong, H. Zhou, Z. Zhang, C. Tian, R. Qin, H. Wang, Y. Shen, K. Du, L. Zhao, H. Fan, S. Luo, D. Hu, Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab. Res. Rev. e3319 (2020). https://​doi.​org/​10.​1002/​dmrr.​3319
Metadata
Title
Diabetes mellitus is a risk factor for prolonged SARS-CoV-2 viral shedding in lower respiratory tract samples of critically ill patients
Authors
Niccolò Buetti
Pierpaolo Trimboli
Timothy Mazzuchelli
Elia Lo Priore
Carlo Balmelli
Alexandra Trkola
Marco Conti
Gladys Martinetti
Luigia Elzi
Alessandro Ceschi
Vera Consonni
Adam Ogna
Valentina Forni-Ogna
Enos Bernasconi
Publication date
01-12-2020
Publisher
Springer US
Published in
Endocrine / Issue 3/2020
Print ISSN: 1355-008X
Electronic ISSN: 1559-0100
DOI
https://doi.org/10.1007/s12020-020-02465-4

Other articles of this Issue 3/2020

Endocrine 3/2020 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine