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- W4289443546 abstract "Abstract Background : Analysis of intracranial pressure waveforms (ICPW) provides information on intracranial compliance. We aimed to assess the correlation between noninvasive ICPW (NICPW) and invasively measured intracranial pressure (ICP) and to assess the NICPW prognostic value in this population. Methods : In this cohort, acute brain-injured patients were included within 5 days from admission in six Intensive Care Units. ICP values and the P2/P1 ratio derived from NICPW were analyzed and correlated with outcome, which was defined as: a) early death (ED); survivors on spontaneous breathing (SB) or survivors on mechanical ventilation (MV) at 7 days from inclusion. The target sample size was calculated for the primary objective of evaluating the NICPW accuracy to discriminate outcomes. Results : A total of 72 patients were included (mean age 39, 68% TBI). Mean ICP and P2/P1 values were significantly correlated (r=0.49, p<0.001). P2/P1 was significantly higher in patients with intracranial hypertension and had an area under the receiving operator curve (AUROC) to predict intracranial hypertension of 0.88 (95% CI 0.78-0.98). ICP and P2/P1 ratio was also significantly higher in non-survivors (n=10) than survivors. The AUROC of P2/P1 to predict early mortality was 0.71 [95% CI 0.53-0.87], and the threshold P2/P1 > 1.2 showed a sensitivity of 60% [95% CI 31-83%] and a specificity of 69% [95% CI 57-79%]. Similar results were observed when decompressive craniectomy patients were excluded. Conclusions : In this study, P2/P1 derived from noninvasive ICPW assessment, was well correlated with ICP and was higher in non-survivors compared to survivors. Trial registration : NCT03144219, Registered 01 May 2017 Retrospectively registered, https://www.clinicaltrials.gov/ct2/show/NCT03144219" @default.
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- W4289443546 date "2022-08-02" @default.
- W4289443546 modified "2023-09-26" @default.
- W4289443546 title "Noninvasive Intracranial Pressure Waveforms for Estimation of Intracranial Hypertension and Outcome Prediction in Acute Brain-Injured Patients" @default.
- W4289443546 doi "https://doi.org/10.21203/rs.3.rs-1902652/v1" @default.
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