Diagnostic overnight polysomnograms of 33 children with Down syndrome who snored were reviewed. Mean age was 4.9 years, none had had adenotonsillectomy, 91% were non-obese (Down syndrome specific body mass index standard deviation score (BMI SDS) <+2.0) and yet 97% demonstrated obstructive sleep apnoea, with an average apnoea hypopnoea index (AHI) of 12.9 episodes per hour (normal <1) and an average oxygen desaturation of 4%. A higher AHI was associated with lower minimum Spo2, higher Tcco2 and higher number of arousals from sleep per hour (p<0.001). Polysomnography should be a routine investigation for children with Down syndrome who snore regardless of body habitus.

The primary survey assessment is a cornerstone of resuscitation processes. The name itself implies that it is the first step in resuscitation. In this article, we argue that in an organized resuscitation the primary survey must be preceded by a series of steps to optimize safety and performance and set the stage for the execution of expert team behavior. Even in the most time critical situations, an effective team will optimize the environment, perform self-assessments of personal readiness and participate in a preemptive team brief. We call these processes the ‘zero point survey’ as it precedes the primary survey. This paper explains the rationale for the zero point survey and describes a structured approach designed to be suitable for all resuscitation situations.

The prevalence of hypothermia in patients following helicopter transport varies widely. Low outside air temperature has been identified as a risk factor. Modern helicopters are insulated and have heating; therefore outside temperature may be unimportant if cabin heat is maintained. We sought to describe the association between outside air, cabin and patient temperature, and having the cabin temperature in the thermoneutral zone (18-36 o C) in our helicopter-transported patients. We conducted a prospective observational study over one year. Patient temperature was measured on loading and enginesoff. Cabin and outside air temperature were recorded for the same time periods for each patient, as well as in-flight. Previously identified risk factors were recorded. Complete data was obtained for 133 patients. Patients' temperature increased by a median of 0.15 o C (P=0.013). There was no association between outside air temperature or cabin temperature and patient temperature gradient. The best predictor of patient temperature on landing was patient temperature on loading (R 2 =0.86) and was not improved significantly when other risk factors were added (P=0.63). Thirty-five percent of patients were hypothermic on loading, including those transferred from district hospitals. No patient loaded normothermic became hypothermic when the cabin temperature was in the thermoneutral zone (P=0.04). A large proportion of patients in our sample were hypothermic at the referring hospital. The best predictor of patient temperature on landing is patient temperature on loading. This has implications for studies that fail to account for pre-flight temperature.