Evolution of in-hospital patient characteristics and predictors of death in the COVID-19 pandemic across four waves: are they moving targets with implications for patient care?

ObjectivesThe aim of this work was to study characteristics, outcomes and predictors of all-cause death in inpatients with SARS-CoV-2 infection across the pandemic waves in one large teaching hospital in Italy to optimize disease management.MethodsAll patients with SARS-CoV-2 infection admitted to o...

Full description

Saved in:
Bibliographic Details
Main Authors: Enrico Maria Trecarichi (Author), Vincenzo Olivadese (Author), Chiara Davoli (Author), Salvatore Rotundo (Author), Francesca Serapide (Author), Rosaria Lionello (Author), Bruno Tassone (Author), Valentina La Gamba (Author), Paolo Fusco (Author), Alessandro Russo (Author), Massimo Borelli (Author), Carlo Torti (Author), the IDTM UMG COVID-19 Group (Author)
Format: Book
Published: Frontiers Media S.A., 2024-01-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_d69a3d9b9f194d7e83820396e36e8ccb
042 |a dc 
100 1 0 |a Enrico Maria Trecarichi  |e author 
700 1 0 |a Enrico Maria Trecarichi  |e author 
700 1 0 |a Vincenzo Olivadese  |e author 
700 1 0 |a Chiara Davoli  |e author 
700 1 0 |a Chiara Davoli  |e author 
700 1 0 |a Salvatore Rotundo  |e author 
700 1 0 |a Francesca Serapide  |e author 
700 1 0 |a Rosaria Lionello  |e author 
700 1 0 |a Bruno Tassone  |e author 
700 1 0 |a Valentina La Gamba  |e author 
700 1 0 |a Valentina La Gamba  |e author 
700 1 0 |a Paolo Fusco  |e author 
700 1 0 |a Paolo Fusco  |e author 
700 1 0 |a Alessandro Russo  |e author 
700 1 0 |a Alessandro Russo  |e author 
700 1 0 |a Massimo Borelli  |e author 
700 1 0 |a Carlo Torti  |e author 
700 1 0 |a Carlo Torti  |e author 
700 1 0 |a the IDTM UMG COVID-19 Group  |e author 
245 0 0 |a Evolution of in-hospital patient characteristics and predictors of death in the COVID-19 pandemic across four waves: are they moving targets with implications for patient care? 
260 |b Frontiers Media S.A.,   |c 2024-01-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2023.1280835 
520 |a ObjectivesThe aim of this work was to study characteristics, outcomes and predictors of all-cause death in inpatients with SARS-CoV-2 infection across the pandemic waves in one large teaching hospital in Italy to optimize disease management.MethodsAll patients with SARS-CoV-2 infection admitted to our center from March 2020 to June 2022 were included in this retrospective observational cohort study. Both descriptive and regression tree analyses were applied to identify factors influencing all-cause mortality.Results527 patients were included in the study (65.3% with moderate and 34.7% with severe COVID-19). Significant evolutions of patient characteristics were found, and mortality increased in the last wave with respect to the third wave notwithstanding vaccination. Regression tree analysis showed that in-patients with severe COVID-19 had the greatest mortality across all waves, especially the older adults, while prognosis depended on the pandemic waves in patients with moderate COVID-19: during the first wave, dyspnea was the main predictor, while chronic kidney disease emerged as determinant factor afterwards.ConclusionPatients with severe COVID-19, especially the older adults during all waves, as well as those with moderate COVID-19 and concomitant chronic kidney disease during the most recent waves require more attention for monitoring and care. Therefore, our study drives attention towards the importance of co-morbidities and their clinical impact in patients with COVID-19 admitted to hospital, indicating that the healthcare system should adapt to the evolving features of the epidemic. 
546 |a EN 
690 |a SARS-CoV-2 
690 |a COVID-19 
690 |a pandemic waves 
690 |a real-world data 
690 |a public health 
690 |a kidney disease 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 11 (2024) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2023.1280835/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/d69a3d9b9f194d7e83820396e36e8ccb  |z Connect to this object online.