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UnknownAwareness and preparedness of healthcare workers against the first wave of the COVID-19 pandemic: A cross-sectional survey across 57 countries.

Background

Since the COVID-19 pandemic began, there have been concerns related to the preparedness of healthcare workers (HCWs). This study aimed to describe the level of awareness and preparedness of hospital HCWs at the time of the first wave.

Methods

This multinational, multicenter...
S-EPMC8694437 | biostudies-literature
UnknownSurgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study.

Background

Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world.

Methods...

S-EPMC5910057 | biostudies-literature
UnknownOutcomes after perioperative SARS-CoV-2 infection in patients with proximal femoral fractures: an international cohort study.

Objectives

Studies have demonstrated high rates of mortality in people with proximal femoral fracture and SARS-CoV-2, but there is limited published data on the factors that influence mortality for clinicians to make informed treatment decisions. This study aims to report the 30-day mortalit...
S-EPMC8634634 | biostudies-literature
UnknownHeart failure in Europe: Guideline-directed medical therapy use and decision making in chronic and acute, pre-existing and de novo, heart failure with reduced, mildly reduced, and preserved ejection fraction - the ESC EORP Heart Failure III Registry.

Aims

We analysed baseline characteristics and guideline-directed medical therapy (GDMT) use and decisions in the European Society of Cardiology (ESC) Heart Failure (HF) III Registry.

Methods and results

Between 1 November 2018 and 31 December 2020, 10 162 patients with acute HF (AHF, ...
S-EPMC11683873 | biostudies-literature
UnknownMachine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score.
Not available
S-EPMC8344569 | biostudies-literature
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