Mechanisms causing NHL concussion.

<p>The causes of NHL concussion or suspected concussion were documented for the subset of injuries occurring during the 10 randomly selected weeks for all 3 seasons. The proportion of injuries within each season caused by each mechanism is shown, with the number of injuries above each bar. Unintentional actions included tripping and colliding with a teammate. The rates of each mechanism remained constant over the seasons tested (p>0.05 for all).</p

Concussion incidence in the OHL and NHL by season.

<p>Incidence rates were calculated per 100 regular season games. IRRs for concussions and concussions plus suspected concussions were calculated relative to the 2010–11 season. Concussion incidence rate in the NHL was lower in 2009–10 than in 2010–11 (p = 0.002 for concussion and suspected concussion, p = 0.029 for concussion), but there was no significant difference between 2010–11 and 2011–12 (p = 0.727 for concussion and suspected concussion, p = 0.086 for concussion). OHL concussion incidence rates were not different between 2009–10 and 2010–11 (p = 0.074 for concussion and suspected concussion, p = 0.09 for concussion) but concussions and suspected concussion increased from 2010–11 to 2011–12 (p = 0.039, p = 0.483 for concussion only).</p>*<p>indicates p<0.05 within each league relative to 2010–11.</p

Penalties by type in the OHL and NHL.

<p>The proportion of the total penalty calls is shown in the first two data columns. RRRs obtained from multinomial logistic regression are relative to non-aggressive penalties for the NHL versus the OHL. Penalties from all available gamesheets were analyzed from the 10 weeks randomly selected for each season.</p>*<p>indicates p<0.05.</p

The Specialist Treatment Of Inpatients: Caring for Diabetes in Surgery Trial (STOIC-D Surgery) – a randomised controlled trial of early intervention with an electronic specialist-led model of diabetes care

Objective: To investigate the effect of early intervention with an electronic specialist-led ‘proactive’ model of care on glycaemic and clinical outcomes. Research Design and Methods: The STOIC-D Surgery randomised controlled trial was performed at the Royal Melbourne Hospital. Eligible participants were adults admitted to a surgical ward during the study with either known diabetes or newly-detected hyperglycaemia (at least one random blood glucose result ≥ 11.1 mmol/L). Participants were randomised 1:1 to standard diabetes care or the intervention consisting of an early consult by a specialist inpatient diabetes team utilising electronic tools for patient identification, communication of recommendations, and therapy intensification. The primary outcome was median patient-day mean glucose (PDMG). The key secondary outcome was incidence of healthcare-associated infection (HAI). Trial registration: ACTRN12620001303932. Results: Between February 12, 2021, and December 17, 2021, 1371 admissions met inclusion criteria with 680 assigned to early intervention and 691 to standard diabetes care. Baseline characteristics were similar between groups. The early intervention group achieved a lower median PDMG of 8.2 mmol/L (interquartile range [IQR] 6.9-10.0 mmol/L) compared with 8.6 mmol/L (IQR 7.2-10.3 mmol/L) in the control group for an estimated difference of -0.3 mmol/L (95% confidence interval [95%CI] -0.4 to -0.2 mmol/L, p<0.0001). The incidence of HAI was lower in the intervention group (77 [11%] vs. 110 [16%]), for an absolute risk difference of -4.6% (95%CI -8.2 to -1.0, p=0.016). Conclusions: In surgical inpatients, early diabetes management intervention with an electronic specialist-led diabetes model of care reduces glucose and HAI.</p