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Body temperature of trauma patients on admission to hospital: a comparison of anaesthetised and non-anaesthetised patients Emerg Med J 2010;emj.2009.086967 Published Online First: 20 October 2010
Background ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Objective 1 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Objective 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
“For patients with a temperature recorded (n=494), a higher percentage of patients with CNS injury (AIS for head ≥3) was found for the RSI group than for the non-RSI group.” “The percentage of patients with ISS>15 was higher for the RSI group than for the non-RSI group (n=1292?).”
RSI patients… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
All cases in which body temp was recorded (n=474) Q3 Median (Q2) Q1 More than 3xIQR From Q1 Maximum value That lies within 1.5xIQR from Q3 Minimum value That lies within 1.5xIQR from Q1 Between 1.5 and 3xIQR from Q1
RSI group (n=207)
“No significant seasonal body temperature variation was demonstrated” “For our data, no robust seasonal body temperature variation was found, which is in accordance with previous observations.”
Findings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Did this study produce valid findings? ,[object Object],[object Object],[object Object],[object Object]
Chance ,[object Object],[object Object]
Bias ,[object Object]
Types of bias ,[object Object],[object Object],[object Object],[object Object]
1) Selection bias ,[object Object],[object Object]
2) Measurement bias ,[object Object],[object Object]
Confounding ,[object Object],[object Object]
What is a confounder?   ,[object Object],[object Object]
Example… ,[object Object]
Did this study have confounders? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Known confounders ,[object Object],[object Object]
Unknown confounders   ,[object Object],[object Object]
Did this research produce valid findings? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Research questions re-visited ,[object Object],[object Object],[object Object]

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Body temperature of trauma patients on admission to hospital

  • 1. Body temperature of trauma patients on admission to hospital: a comparison of anaesthetised and non-anaesthetised patients Emerg Med J 2010;emj.2009.086967 Published Online First: 20 October 2010
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. “For patients with a temperature recorded (n=494), a higher percentage of patients with CNS injury (AIS for head ≥3) was found for the RSI group than for the non-RSI group.” “The percentage of patients with ISS>15 was higher for the RSI group than for the non-RSI group (n=1292?).”
  • 7.
  • 8. All cases in which body temp was recorded (n=474) Q3 Median (Q2) Q1 More than 3xIQR From Q1 Maximum value That lies within 1.5xIQR from Q3 Minimum value That lies within 1.5xIQR from Q1 Between 1.5 and 3xIQR from Q1
  • 10. “No significant seasonal body temperature variation was demonstrated” “For our data, no robust seasonal body temperature variation was found, which is in accordance with previous observations.”
  • 11.
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Notes de l'éditeur

  1. A common problem when analysing clinical data is that of confounding. This occurs when the association between an exposure (say RSI) and an outcome (say body temp) is investigated but the exposure and the outcome are strongly associated with a third variable. An extreme example of this is Simpson’s paradox, in which this third factor REVERSES the effect first observed.