Raffiz et al., 20171
|
Prospective observational study |
41 |
ONSD |
-
–
ONSD values and ICP: r = 0.820; p = 0.01.
-
–
Including TBI and non-TBI groups: AUC of 0.964 (CI 95% 0.921–1.0)
-
–
Best cutoff point: 5.205 mm with 95.8% sensitivity and 80.4% specificity
-
–
Sensitivity and specificity of 5.47 mm in TBI group were higher than in non-TBI group (94.4% vs 83.3% and 95.2% vs 93.3%)
|
Singer et al., 20212
|
Prospective observational study |
135P |
ONSD Pupillometry TCD |
ONSD
-
–
ONSD differs significantly bilaterally between mild TBI, non-TBI, and severe TBI on postinjury days 2 and 3
-
–
ONSD was not found to correlate with ICP.
Pupillometry
-
–
Significant bilaterally percent changes in pupil diameters (p < 0.01), constriction velocity (p < 0.01) and dilatation velocity (p < 0.01) on postinjury days 1 and 2
-
–
Values obtained from dynamic changes of pupil reliably differentiated severe TBI from mild brain injuries on postinjury days 2 and 3.
-
–
Pupillometry values and ICP: p > 0.05 TCD
-
–
Middle cerebral artery (MCA) peak systolic velocity, MCA flow velocity and common carotid artery flow velocity showed a statistically significant correlation with ICP in severe TBI patients
|
Maissan et al., 201512
|
Prospective observational study |
18 |
ONSD |
-
–
ONSD values and ICP: R2 = 0.80
-
–
Cutoff point ≥ 5.00 mm: sensitivity = 94% and specificity = 98%
-
–
AUC 0.99 (0.97–1.00) was found for detection of IH
|
Strumwasser et al., 201113
|
Prospective observational study |
10 |
ONSD |
-
ONSD values and ICP in unilateral (R2 = 0.45, p < 0.01) and bilateral (R2 = 0.21, p = 0.01) lesions.
-
AUC = 0.36; p = 0.01
-
Sensitivity was 36%, specificity 38%, PPV 40%, the NPV 16% and the accuracy for estimating ICP with the ONSD was 37%.
|
Rajajee et al., 20114
|
Prospective observational study |
65 |
ONSD |
|
Soldatos et al., 20089
|
Prospective observational study |
76 |
ONSD |
-
ONSD and ICPi values: r = 0.68; p = 0.002
-
Best cutoff point: 5.7 mm – sensitivity = 74,1% and specificity = 100%
-
ONSD and estimated ICP (eICP):
o Severe brain injury: 6.1 ± 0.7 mm and 26.2 ± 8.7 mmHg, respectively; p < 0.0001
o Moderate brain injury: 4, 2 ± 1.2 mm and 12.0 ± 3.6 mmHg
o Control patients: 3.6 ± 0.6 mm and 10.3 ± 3.1 mmHg
-
–
Strong correlation between the values of ONSD, eICP (r = 0.80, p < 0.0001) and the neuroimaging scale (r = 0.82, p < 0.001)
|
Stevens et al., 201910
|
Prospective observational study |
41 |
Pupillometry |
|
Cardim et al., 202016
|
Prospective observational study |
100 |
TCD |
|
Rasulo et al., 201715
|
Prospective observational study |
20 |
TCD |
|
Robba et al., 20176
|
Prospective observational study |
41 |
ONSD TCD |
ONSD
TCD
|
Cardim et al., 201617
|
Prospective observational study |
40 |
TCD |
− ICPtcd pulsatility index: o The best correlation with iICP, including spontaneous changes in ICP > 7 mmHg (R = 0.61) o The best efficacy for ICP dynamics monitoring |
Schmidt et al., 20057
|
Prospective observational study |
103 |
TCD |
− FV and ABP comparative parameters could infer the ICP with a median absolute difference of 5.7 mmHg when compared to the invasive method. |
Ragauskas et al., 20053 |
Prospective observational study |
57 |
TCD |
− The difference in the ICP when comparing the 2 methods was 0.939 mmHg, suggesting the effectiveness of the noninvasive method. |
Schmidt et al., 20038
|
Prospective observational study |
145 |
TCD |
-
–
Mx and nMx: r = 0.90; p < 0.001.
-
–
PRx and nPRx: r = 0.62; p < 0.001.
-
–
The sensitivity of nMx to estimate Mx was 0.92, the specificity of Mx was 0.79 and the fuzzy values were 0.97 and 0.92.
-
–
The sensitivity of nPRx to estimate PRx was 0.61 and its specificity was 0.67.
-
–
ABP and FV signals cannot be evaluated alone to estimate nICP.
|
Czosnyka et al., 199818
|
Prospective observational study |
96 |
TCD |
-
–
PPV of 94% for the detection of a low CPP (60 mmHg), with r = 0.73
-
–
Estimation error of less than 10 mmHg in 71% of the cases.
|
Mursch et al., 199519
|
Prospective observational study |
28 |
TCD |
|
Klingelhöfer et al., 198720
|
Prospective observational study |
5 |
TCD |
-
–
Changes in the ICP significantly influenced flow patterns
-
–
TCD is a useful noninvasive method for gathering information regarding the development of ICP.
-
–
The study did not correlate in detail changes in flow patterns and ICP.
|
Herklots et al., 201721
|
Prospective observational study |
14 |
HeadSense monitor |
|
Zhao et al., 200511
|
Prospective observational study |
16 |
FVEP |
|
Brasil et al., 202126
|
Prospective observational study |
21 |
Brain compliance using ICPW (B4C monitor) |
-
–
B4C sensor measurements and ICP: P2/P1 ratio (r = 0.72) and TTP (r = 0.85)
-
–
The B4C P2/P1 ratio threshold of ≥ 1.1 resulted in AUC 0.77 (0.62–0.92), p < 0.001, sensitivity 0.88, specificity 0.60) to detect IH
|
Robba et al., 202014
|
Prospective observational study |
30 |
ONSD PI eICP using TCD NPI using pupillometry |
ONSD
-
–
AUC of 0.78 (0.62–0.95) to detect IH
-
–
Cutoff point of ONSD > 5.3 mm: sensitivity = 67% and specificity = 73%
PI
-
–
AUC of 0.79 (0.63–0.96) to detect IH
-
–
Cutoff point of PI > 1.10: sensitivity = 61% and specificity = 80%
eICP using TCD
-
–
AUC of 0.83 (CI 0.69–0.98) to detect IH
-
–
Cutoff point was eICP > 20 mmHg: sensitivity = 67% and specificity = 87%.
NPI
-
–
AUC was 0.61 (95% CI 0.49-0.83) to detect IH
-
–
Cut-off point of NPI < 4.0: sensitivity = 61% and specificity = 73%
COMBINED METHODS
-
–
All four methods: AUC 0.91 (0.80–1.00) to detect IH
-
–
ONSD with eICP using TCD: AUC 0.92 (0.81–1.00)
|