Background: Few data are available on the impact of bacterial pulmonary co-infection (RespCoBact) during COVID-19 (CovRespCoBact). The aim of this study was to compare the prognosis of patients admitted to an ICU for pneumonia and for SARS-CoV-2 pneumonia with and without RespCoBact.

Methods: This was a multicentre ( = 11) observational study using the Outcomerea© database. Since 2008, all patients admitted with pneumonia or SARS-CoV-2 pneumonia and discharged before 30 June 2021 were included. Risk factors for day-60 death and for ventilator-associated-pneumonia (VAP) in patients with pneumonia or SARS-CoV-2 pneumonia with or without RespCoBact were determined.

Results: Of the 1349 patients included, 157 were admitted for and 1192 for SARS-CoV-2. Compared with the patients, those with SARS-CoV-2 had lower severity scores, were more often under high-flow nasal cannula, were less often under invasive mechanical ventilation, and had less RespCoBact (8.2% for SARS-CoV-2 versus 24.8% for ). Day-60 death was significantly higher in patients with SARS-CoV-2 pneumonia with no increased risk of mortality with RespCoBact. Patients with and those with SARS-CoV-2 pneumonia had no increased risk of VAP with RespCoBact.

Conclusions: SARS-CoV-2 pneumonia was associated with an increased risk of mortality compared with pneumonia. Bacterial pulmonary co-infections on admission were not associated with patient survival rates nor with an increased risk of VAP.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599916PMC
http://dx.doi.org/10.3390/biomedicines10102646DOI Listing

Publication Analysis

Top Keywords

sars-cov-2 pneumonia
24
patients sars-cov-2
16
increased risk
16
bacterial pulmonary
12
pneumonia sars-cov-2
12
sars-cov-2
10
pneumonia
10
pulmonary co-infections
8
patients
8
patients admitted
8

Similar Publications

Learning the language of antibody hypervariability.

Proc Natl Acad Sci U S A

January 2025

Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.

Protein language models (PLMs) have demonstrated impressive success in modeling proteins. However, general-purpose "foundational" PLMs have limited performance in modeling antibodies due to the latter's hypervariable regions, which do not conform to the evolutionary conservation principles that such models rely on. In this study, we propose a transfer learning framework called Antibody Mutagenesis-Augmented Processing (AbMAP), which fine-tunes foundational models for antibody-sequence inputs by supervising on antibody structure and binding specificity examples.

View Article and Find Full Text PDF

Background: The COVID-19 pandemic has accelerated the digitalization of modern society, extending digital transformation to daily life and psychological evaluation and treatment. However, the development of competencies and literacy in handling digital technology has not kept pace, resulting in a significant disparity among individuals. Existing measurements of digital literacy were developed before widespread information and communications technology device adoption, mainly focusing on one's perceptions of their proficiency and the utility of device operation.

View Article and Find Full Text PDF

The process of regional economic development is marked by a sustained exposure to external disturbances. In today's unpredictable and tumultuous global environment, such disturbances have become increasingly common, underlining the need to advance a region's economic resilience and foster adaptive mechanisms to handle environmental flux. Comparing the typical provinces in eastern, central, western and northeastern regions during the COVID-19 epidemic period, it found that the economic resilience performance of Henan Province, which is a representative of the central region, has the following characteristics.

View Article and Find Full Text PDF

Introduction: Acute kidney injury (AKI) in the setting of COVID-19 is associated with worse clinical and renal outcomes, with limited long-term data.

Aim: To evaluate critically ill COVID-19 patients with AKI that required nephrologist consultation (NC-AKI) in a tertiary hospital.

Methods: Prospective single-center cohort of critically ill COVID-19 adult patients with NC-AKI from May 1st, 2020, to April 30th, 2021.

View Article and Find Full Text PDF

Background: There is an increased prevalence of mental health problems in various population groups as a result of the COVID-19 pandemic and its consequences, especially regarding anxiety, stress, depression, fear, and sleep disturbances, require to be investigated longitudinally.

Objective: This study aimed to determine the impact that the COVID-19 pandemic had on the mental health of Nursing students, as well as to examine other associated factors such as anxiety, fear, sleep disturbances, and coping strategies.

Method: This systematic review and meta-analysis were designed following the PRISMA guidelines and were registered in PROSPERO with code CRD42024541904.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!