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UnknownElective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans.

Background

The COVID-19 pandemic has disrupted routine hospital services globally. This study estimated the total number of adult elective operations that would be cancelled worldwide during the 12 weeks of peak disruption due to COVID-19.

Methods

A global expert response study was co...
S-EPMC7272903 | biostudies-literature
UnknownSARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study.

Background

Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling.

Methods

The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death ...
S-EPMC7995808 | biostudies-literature
UnknownA prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts.

Background

Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allo...
S-EPMC12056793 | biostudies-literature
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