Journal of Translational Medicine (Aug 2017)

Temperature variability in the day–night cycle is associated with further intracranial pressure during therapeutic hypothermia

  • Adriano Barreto Nogueira,
  • Eva Annen,
  • Oliver Boss,
  • Faraneh Farokhzad,
  • Christopher Sikorski,
  • Emanuela Keller

DOI
https://doi.org/10.1186/s12967-017-1272-y
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 6

Abstract

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Abstract Background To assess whether circadian patterns of temperature correlate with further values of intracranial pressure (ICP) in severe brain injury treated with hypothermia. Methods We retrospectively analyzed temperature values in subarachnoid hemorrhage patients treated with hypothermia by endovascular cooling. The circadian patterns of temperature were correlated with the mean ICP across the following day (ICP24). Results We analyzed data from 17 days of monitoring of three subarachnoid hemorrhage patients that underwent aneurysm coiling, sedation and hypothermia due to refractory intracranial hypertension and/or cerebral vasospasm. ICP24 ranged from 11.5 ± 3.1 to 24.2 ± 6.2 mmHg. The ratio between the coefficient of variation of temperature during the nocturnal period (18:00–6:00) and the preceding diurnal period (6:00–18:00) [temperature variability (TV)] ranged from 0.274 to 1.97. Regression analysis showed that TV correlated with ICP24 (Pearson correlation = −0.861, adjusted R square = 0.725, p < 0.001), and that ICP24 = 6 (4–TV) mmHg or, for 80% prediction interval, $${\text{ICP}}_{24} = 23.9 - 6.22\,\times\,{\text{TV }} \pm 1.73\,\times\sqrt {1.06 + (({\text{TV}} - 1.1)^{2} /4.49)}$$ ICP 24 = 23.9 - 6.22 × TV ± 1.73 × 1.06 + ( ( TV - 1.1 ) 2 / 4.49 ) mmHg. The results indicate that the occurrence of ICP24 higher than 20 mmHg is unlikely after a day with TV ≥1.0. Conclusions TV correlates with further ICP during hypothermia regardless the strict range that temperature is maintained. Further studies with larger series could clarify whether intracranial hypertension in severe brain injury can be predicted by analysis of oscillation patterns of autonomic parameters across a period of 24 h or its harmonics.

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