The April 2014
The February 2014
The April 2013
The December 2013
The August 2012
The June 2012
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The August 2024
Aims. Machine-learning (ML) prediction models in
It is imperative to understand the risks of operating on urgent cases during the COVID-19 (SARS-Cov-2 virus) pandemic for clinical decision-making and medical resource planning. The primary aim was to determine the mortality risk and associated variables when operating on urgent cases during the COVID-19 pandemic. The secondary objective was to assess differences in the outcome of patients treated between sites treating COVID-19 and a separate surgical site. The primary outcome measure was 30-day mortality. Secondary measures included complications of surgery, COVID-19 infection, and length of stay. Multiple variables were assessed for their contribution to the 30-day mortality. In total, 433 patients were included with a mean age of 65 years; 45% were male, and 90% were Caucasian.Aims
Methods
Aims. The Edinburgh
Aims. Hand
The February 2024
The June 2023
Aims. The primary objective of this study was to develop a validated classification system for assessing iatrogenic bone
The October 2023
The August 2023
The December 2023
The April 2024
The April 2023