Aims. The aim of this study was to examine the association between
postoperative glycaemic variability and adverse outcomes following
orthopaedic surgery. Patients and Methods. This retrospective study analyzed data on 12 978 patients (1361
with two operations) who underwent orthopaedic surgery at a single
institution between 2001 and 2017. Patients with a minimum of either
two postoperative measurements of blood glucose levels per day,
or more than three measurements overall, were included in the study.
Glycaemic variability was assessed using a coefficient of variation
(CV). The length of stay (LOS), in-hospital complications, and 90-day
readmission and mortality rates were examined. Data were analyzed
with linear and generalized linear mixed models for linear and binary
outcomes, adjusting for various covariates. Results. The cohort included 14 339 admissions, of which 3302 (23.0%)
involved diabetic patients. Patients with CV values in the upper
tertile were twice as likely to have an in-hospital complication
compared with patients in the lowest tertile (19.4% versus 9.0%,
p < 0.001), and almost five times more likely to die compared
with those in the lowest tertile (2.8% versus 0.6%,
p < 0.001). Results of the adjusted analyses indicated that the
mean LOS was 1.28 days longer in the highest versus the
lowest CV tertile (p < 0.001), and the odds of an in-hospital
complication and
The risk to patients and healthcare workers of resuming elective orthopaedic surgery following the peak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has been difficult to quantify. This has prompted governing bodies to adopt a cautious approach that may be impractical and financially unsustainable. The lack of evidence has made it impossible for surgeons to give patients an informed perspective of the consequences of elective surgery in the presence of SARS-CoV-2. This study aims to determine, for the UK population, the probability of a patient being admitted with an undetected SARS-CoV-2 infection and their resulting risk of death; taking into consideration the current disease prevalence, reverse transcription-polymerase chain reaction (RT-PCR) testing, and preassessment pathway. The probability of SARS-CoV-2 infection with a false negative test was calculated using a lower-end RT-PCR sensitivity of 71%, specificity of 95%, and the UK disease prevalence of 0.24% reported in May 2020. Subsequently, a case fatality rate of 20.5% was applied as a worst-case scenario.Aims
Methods