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The effect of baseline pressure errors on an intracranial pressure-derived index: results of a prospective observational study.

Eide PK, Sorteberg A, Meling TR, Sorteberg W - Biomed Eng Online (2014)

Bottom Line: We compared this approach with a method of calculating RAP using a 4-min moving window updated every 6 seconds (method 2).The two methods of calculating RAP produced similar results.As differences in RAP are of magnitudes that may alter patient management, we do not advocate the use of RAP in the management of neurosurgical patients.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Neurosurgery, Oslo University Hospital, Rikshospitalet, Oslo, Norway. p.k.eide@medisin.uio.no.

ABSTRACT

Background: In order to characterize the intracranial pressure-volume reserve capacity, the correlation coefficient (R) between the ICP wave amplitude (A) and the mean ICP level (P), the RAP index, has been used to improve the diagnostic value of ICP monitoring. Baseline pressure errors (BPEs), caused by spontaneous shifts or drifts in baseline pressure, cause erroneous readings of mean ICP. Consequently, BPEs could also affect ICP indices such as the RAP where in the mean ICP is incorporated.

Methods: A prospective, observational study was carried out on patients with aneurysmal subarachnoid hemorrhage (aSAH) undergoing ICP monitoring as part of their surveillance. Via the same burr hole in the scull, two separate ICP sensors were placed close to each other. For each consecutive 6-sec time window, the dynamic mean ICP wave amplitude (MWA; measure of the amplitude of the single pressure waves) and the static mean ICP, were computed. The RAP index was computed as the Pearson correlation coefficient between the MWA and the mean ICP for 40 6-sec time windows, i.e. every subsequent 4-min period (method 1). We compared this approach with a method of calculating RAP using a 4-min moving window updated every 6 seconds (method 2).

Results: The study included 16 aSAH patients. We compared 43,653 4-min RAP observations of signals 1 and 2 (method 1), and 1,727,000 6-sec RAP observations (method 2). The two methods of calculating RAP produced similar results. Differences in RAP ≥ 0.4 in at least 7% of observations were seen in 5/16 (31%) patients. Moreover, the combination of a RAP of ≥ 0.6 in one signal and <0.6 in the other was seen in ≥ 13% of RAP-observations in 4/16 (25%) patients, and in ≥ 8% in another 4/16 (25%) patients. The frequency of differences in RAP >0.2 was significantly associated with the frequency of BPEs (5 mmHg ≤ BPE <10 mmHg).

Conclusions: Simultaneous monitoring from two separate, close-by ICP sensors reveals significant differences in RAP that correspond to the occurrence of BPEs. As differences in RAP are of magnitudes that may alter patient management, we do not advocate the use of RAP in the management of neurosurgical patients.

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Correlation plots of percentages of baseline pressure errors (BPEs) and RAP [correlation coefficient (R) between the intracranial pressure (ICP) wave amplitude (A) and the mean ICP level (P)]-differences. The percentages of RAP-differences are plotted against the percentages of BPEs of various magnitudes for the 16 patients of the study. The percentages of BPEs of magnitudes ≥5 mmHg/<10 mmHg were plotted against differences in RAP of (a) ≥0.2 or (b) ≥0.4, and (c) ≥0.6. The Spearman correlation coefficients are given suggesting significant correlation between percentages of BPEs and percentages of RAP-differences. The plots were created based on percentages provided in Table 4.
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Figure 7: Correlation plots of percentages of baseline pressure errors (BPEs) and RAP [correlation coefficient (R) between the intracranial pressure (ICP) wave amplitude (A) and the mean ICP level (P)]-differences. The percentages of RAP-differences are plotted against the percentages of BPEs of various magnitudes for the 16 patients of the study. The percentages of BPEs of magnitudes ≥5 mmHg/<10 mmHg were plotted against differences in RAP of (a) ≥0.2 or (b) ≥0.4, and (c) ≥0.6. The Spearman correlation coefficients are given suggesting significant correlation between percentages of BPEs and percentages of RAP-differences. The plots were created based on percentages provided in Table 4.

Mentions: Figure 7 presents the correlation between percentages of BPEs of given magnitude (5 mmHg ≤ BPE < 10 mmHg) and the percentage of 4-min periods with RAP difference being ≥0.2 (Figure 7a), ≥0.4 (Figure 7b), and ≥0.6 (Figure 7c). The correlation plots demonstrate that in patient recordings with a high percentage of BPEs, there is also a high percentage of marked differences in RAP, i.e. the occurrences of differences in RAP are associated with the occurrences of BPEs.


The effect of baseline pressure errors on an intracranial pressure-derived index: results of a prospective observational study.

Eide PK, Sorteberg A, Meling TR, Sorteberg W - Biomed Eng Online (2014)

Correlation plots of percentages of baseline pressure errors (BPEs) and RAP [correlation coefficient (R) between the intracranial pressure (ICP) wave amplitude (A) and the mean ICP level (P)]-differences. The percentages of RAP-differences are plotted against the percentages of BPEs of various magnitudes for the 16 patients of the study. The percentages of BPEs of magnitudes ≥5 mmHg/<10 mmHg were plotted against differences in RAP of (a) ≥0.2 or (b) ≥0.4, and (c) ≥0.6. The Spearman correlation coefficients are given suggesting significant correlation between percentages of BPEs and percentages of RAP-differences. The plots were created based on percentages provided in Table 4.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4125597&req=5

Figure 7: Correlation plots of percentages of baseline pressure errors (BPEs) and RAP [correlation coefficient (R) between the intracranial pressure (ICP) wave amplitude (A) and the mean ICP level (P)]-differences. The percentages of RAP-differences are plotted against the percentages of BPEs of various magnitudes for the 16 patients of the study. The percentages of BPEs of magnitudes ≥5 mmHg/<10 mmHg were plotted against differences in RAP of (a) ≥0.2 or (b) ≥0.4, and (c) ≥0.6. The Spearman correlation coefficients are given suggesting significant correlation between percentages of BPEs and percentages of RAP-differences. The plots were created based on percentages provided in Table 4.
Mentions: Figure 7 presents the correlation between percentages of BPEs of given magnitude (5 mmHg ≤ BPE < 10 mmHg) and the percentage of 4-min periods with RAP difference being ≥0.2 (Figure 7a), ≥0.4 (Figure 7b), and ≥0.6 (Figure 7c). The correlation plots demonstrate that in patient recordings with a high percentage of BPEs, there is also a high percentage of marked differences in RAP, i.e. the occurrences of differences in RAP are associated with the occurrences of BPEs.

Bottom Line: We compared this approach with a method of calculating RAP using a 4-min moving window updated every 6 seconds (method 2).The two methods of calculating RAP produced similar results.As differences in RAP are of magnitudes that may alter patient management, we do not advocate the use of RAP in the management of neurosurgical patients.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Neurosurgery, Oslo University Hospital, Rikshospitalet, Oslo, Norway. p.k.eide@medisin.uio.no.

ABSTRACT

Background: In order to characterize the intracranial pressure-volume reserve capacity, the correlation coefficient (R) between the ICP wave amplitude (A) and the mean ICP level (P), the RAP index, has been used to improve the diagnostic value of ICP monitoring. Baseline pressure errors (BPEs), caused by spontaneous shifts or drifts in baseline pressure, cause erroneous readings of mean ICP. Consequently, BPEs could also affect ICP indices such as the RAP where in the mean ICP is incorporated.

Methods: A prospective, observational study was carried out on patients with aneurysmal subarachnoid hemorrhage (aSAH) undergoing ICP monitoring as part of their surveillance. Via the same burr hole in the scull, two separate ICP sensors were placed close to each other. For each consecutive 6-sec time window, the dynamic mean ICP wave amplitude (MWA; measure of the amplitude of the single pressure waves) and the static mean ICP, were computed. The RAP index was computed as the Pearson correlation coefficient between the MWA and the mean ICP for 40 6-sec time windows, i.e. every subsequent 4-min period (method 1). We compared this approach with a method of calculating RAP using a 4-min moving window updated every 6 seconds (method 2).

Results: The study included 16 aSAH patients. We compared 43,653 4-min RAP observations of signals 1 and 2 (method 1), and 1,727,000 6-sec RAP observations (method 2). The two methods of calculating RAP produced similar results. Differences in RAP ≥ 0.4 in at least 7% of observations were seen in 5/16 (31%) patients. Moreover, the combination of a RAP of ≥ 0.6 in one signal and <0.6 in the other was seen in ≥ 13% of RAP-observations in 4/16 (25%) patients, and in ≥ 8% in another 4/16 (25%) patients. The frequency of differences in RAP >0.2 was significantly associated with the frequency of BPEs (5 mmHg ≤ BPE <10 mmHg).

Conclusions: Simultaneous monitoring from two separate, close-by ICP sensors reveals significant differences in RAP that correspond to the occurrence of BPEs. As differences in RAP are of magnitudes that may alter patient management, we do not advocate the use of RAP in the management of neurosurgical patients.

Show MeSH
Related in: MedlinePlus