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Delirium Increases In-Hospital and Post-Discharge Mortality in COVID-19 Patients: The FRACOVID Multicenter Prospective Study

22 Pages Posted: 13 Apr 2022

See all articles by Caterina Trevisan

Caterina Trevisan

University of Ferrara - Department of Medical Sciences

Giulia Grande

Karolinska Institutet - Aging Research Centre; Stockholm University

Paola Rebora

University of Milano-Bicocca - School of Medicine and Surgery; Milano-Bicocca University - Bicocca Center of Bioinformatics, Biostatistics and Bioimaging

Alberto Zucchelli

University of Brescia - Department of Information Engineering

Maria Grazia Valsecchi

University of Milano-Bicocca - Centre of Biostatistics for Clinical Epidemiology

Emanuele Focà

University of Brescia - Department of Clinical and Experimental Sciences

Fiona Ecarnot

University of Besançon - University Hospital Besançon

Alessandra Marengoni

University of Brescia - Department of Clinical and Experimental Sciences

Giuseppe Bellelli

Milano-Bicocca University - School of Medicine and Surgery

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Abstract

Background: Delirium is a common feature in COVID-19 patients. Although its association with in-hospital mortality has previously been reported, scarce results concern post-discharge mortality and delirium subtypes. We evaluated the association between delirium and its subtypes and both in-hospital and medium-term mortality.

Methods : This is a multicenter longitudinal clinical-based study settled in Monza and Brescia, Italy. 1324 patients (median age: 68) with COVID-19 admitted to four acute clinical wards in Northern Italy during the first and second pandemic waves. Delirium was assessed through validated scores and/or clinical assessment. The association between the presence of delirium - and its subtypes- and in-hospital and medium-term mortality was evaluated through Cox proportional hazards models.

Findings: 223 patients (16.8%) presented delirium within 24-48 hours of hospital admission. Those with delirium had around a two-fold increased risk of in-hospital (HR=1.94, 95%CI: 1.38, 2.73) and medium-term mortality (HR=2.01, 95%CI: 1.48, 2.73), than those without delirium. All delirium subtypes were associated with greater risk of death compared to the absence of delirium, but hypoactive delirium revealed the strongest associations, with both in-hospital (HR=2.03, 95%CI: 1.32, 3.13) and medium-term mortality (HR=2.22, 95%CI: 1.52, 3.26).

Interpretation: In patients with COVID-19, delirium at hospital admission is not only associated with in-hospital mortality but also with shorter post-discharge survival. This suggests that delirium might be a marker of disease severity and/or patient vulnerability. Its detection and management are crucial to improving the clinical prognosis of COVID-19 patients.

Funding: This work was supported by grants from the Cariplo Foundation, Lombardia Region, Italy.

Declaration of Interest: The authors declare no conflict of interest.

Ethical Approval: The study protocol was approved by Brianza Institutional Review Board under the number 3356-07/08/2020. Informed consent was obtained orally from all participants or their next of kin.

Keywords: COVID-19, delirium, mortality, prospective study.

Suggested Citation

Trevisan, Caterina and Grande, Giulia and Rebora, Paola and Zucchelli, Alberto and Valsecchi, Maria Grazia and Focà, Emanuele and Ecarnot, Fiona and Marengoni, Alessandra and Bellelli, Giuseppe, Delirium Increases In-Hospital and Post-Discharge Mortality in COVID-19 Patients: The FRACOVID Multicenter Prospective Study. Available at SSRN: https://ssrn.com/abstract=4082931 or http://dx.doi.org/10.2139/ssrn.4082931

Caterina Trevisan (Contact Author)

University of Ferrara - Department of Medical Sciences ( email )

Giulia Grande

Karolinska Institutet - Aging Research Centre ( email )

Tomtebodavägen 18A, plan 9
Solna, 171 65
Sweden

Stockholm University ( email )

Universitetsvägen 10
Stockholm, Stockholm SE-106 91
Sweden

Paola Rebora

University of Milano-Bicocca - School of Medicine and Surgery ( email )

Milano-Bicocca University - Bicocca Center of Bioinformatics, Biostatistics and Bioimaging ( email )

Italy

Alberto Zucchelli

University of Brescia - Department of Information Engineering ( email )

Maria Grazia Valsecchi

University of Milano-Bicocca - Centre of Biostatistics for Clinical Epidemiology ( email )

Monza
Italy

Emanuele Focà

University of Brescia - Department of Clinical and Experimental Sciences ( email )

Fiona Ecarnot

University of Besançon - University Hospital Besançon ( email )

Alessandra Marengoni

University of Brescia - Department of Clinical and Experimental Sciences ( email )

Giuseppe Bellelli

Milano-Bicocca University - School of Medicine and Surgery ( email )

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