| Literature DB >> 30328561 |
Danilo Cardim1,2,3, Chiara Robba4,5,6, Basil Matta4,7, Graham Tytherleigh-Strong8, Niel Kang8, Bernhard Schmidt9, Joseph Donnelly10,11, Leanne Calviello10, Peter Smielewski10, Marek Czosnyka10,12.
Abstract
Although the beach-chair position (BCP) is widely used during shoulder surgery, it has been reported to associate with a reduction in cerebral blood flow, oxygenation, and risk of brain ischaemia. We assessed cerebral haemodynamics using a multiparameter transcranial Doppler-derived approach in patients undergoing shoulder surgery. 23 anaesthetised patients (propofol (2 mg/kg)) without history of neurologic pathology undergoing elective shoulder surgery were included. Arterial blood pressure (ABP, monitored with a finger-cuff plethysmograph calibrated at the auditory meatus level) and cerebral blood flow velocity (FV, monitored in the middle cerebral artery) were recorded in supine and in BCP. All subjects underwent interscalene block ipsilateral to the side of FV measurement. We evaluated non-invasive intracranial pressure (nICP) and cerebral perfusion pressure (nCPP) calculated with a black-box mathematical model; critical closing pressure (CrCP); diastolic closing margin (DCM-pressure reserve available to avoid diastolic flow cessation); cerebral autoregulation index (Mxa); pulsatility index (PI). Significant changes occured for DCM [mean decrease of 6.43 mm Hg (p = 0.01)] and PI [mean increase of 0.11 (p = 0.05)]. ABP, FV, nICP, nCPP and CrCP showed a decreasing trend. Cerebral autoregulation was dysfunctional (Mxa > 0.3) and PI deviated from normal ranges (PI > 0.8) in both phases. ABP and nCPP values were low (< 60 mm Hg) in both phases. Changes between phases did not result in CrCP reaching diastolic ABP, therefore DCM did not reach critical values (≤ 0 mm Hg). BCP resulted in significant cerebral haemodynamic changes. If left untreated, reduction in cerebral blood flow may result in brain ischaemia and post-operative neurologic deficit.Entities:
Keywords: Beach chair position; Cerebral autoregulation; Non-invasive intracranial pressure; Transcranial Doppler
Mesh:
Substances:
Year: 2018 PMID: 30328561 PMCID: PMC6602988 DOI: 10.1007/s10877-018-0211-7
Source DB: PubMed Journal: J Clin Monit Comput ISSN: 1387-1307 Impact factor: 2.502
Patients’ demographic characteristics, medical history, and type of surgical procedures performed
| Characteristics | |
|---|---|
| Age (years), range (min, max) | 59 ± 20 (18–81) |
| Sex, male/female, n (%) | 18 (78%)/5 (22%) |
| BMI (kg/m2) | 29 ± 4 |
BMI body-mass index, Min minimum age, Max maximum age
Physiological and cerebral haemodynamic parameters assessed in phases A and B
| A | B | ||
|---|---|---|---|
| ABPFINGER | 61.71 (52.41–69.30) | 48.53 (37.64–66.35) | 0.21 |
| FV | 40.86 (33.72–50.77) | 43.01 (32.06–51.66) | 0.27 |
| nICP | 4.52 (2.07–9.57) | 2.14 (− 0.18 to 9.14) | 0.66 |
| nCPP | 57.66 (49.54–63.92) | 43.79 (37.46–57.66) | 0.14 |
| Mxa | 0.32 (0.01–0.78) | 0.47 (0.20–0.62) | 0.94 |
| PI | 1.00 (0.85–1.14) | 1.03 (0.90–1.34) | 0.048 |
| CrCP | 31.65 (22.18–37.94) | 25.33 (13.15–41.95) | 0.60 |
| DCM | 18.08 (11.23–23.88) | 10.44 (7.78–15.71) | 0.01 |
| ETCO2 | 5.30 (4.90–5.40) | 5.20 (4.80–5.35) | 0.17 |
ABPFINGER (mm Hg), arterial blood pressure monitored at the auditory meatus level; FV (cm/s), cerebral blood flow velocity; nICP (mm Hg), non-invasive intracranial pressure; nCPP (mm Hg), non-invasive cerebral perfusion pressure; Mxa, cerebral autoregulation index; PI, pulsatility index; CrCP (mm Hg), critical closing pressure; DCM (mm Hg), diastolic closing margin; ETCO2 (kPa), end-tidal carbon dioxide concentration; Phase A, supine position; Phase B, beach chair position
Mean delta changes and correlation coefficients between FV and ABP considering delta changes
| ∆ (%) | R with ∆ABP | p-value | R with ∆FV | ||
|---|---|---|---|---|---|
| ABPFINGER | − 14 | – | – | 0.48 | 0.02 |
| FV | − 6 | 0.48 | 0.02 | – | – |
| nICP | − 29 | 0.61 | 0.002 | 0.33 | 0.12 |
| nCPP | − 12 | 0.95 | 0 | 0.42 | 0.05 |
| Mxa | 5 | − 0.06 | 0.77 | − 0.21 | 0.34 |
| PI | 11 | − 0.1 | 0.64 | − 0.23 | 0.29 |
| CrCP | − 9 | 0.8 | 0 | 0.17 | 0.43 |
| DCM | − 34 | 0.61 | 0.01 | 0.36 | 0.09 |
| ETCO2 | − 3 | 0.04 | 0.84 | − 0.01 | 0.95 |
ABPFINGER (mm Hg), arterial blood pressure monitored at the auditory meatus level; FV (cm/s), cerebral blood flow velocity; nICP (mm Hg), non-invasive intracranial pressure; nCPP (mm Hg), non-invasive cerebral perfusion pressure; Mxa, cerebral autoregulation index; PI, pulsatility index; CrCP (mm Hg), critical closing pressure; DCM (mm Hg), diastolic closing margin; ETCO2 (kPa), end-tidal carbon dioxide concentration; ∆ (delta), variation between phases A and B in percentage; R, Spearman correlation coefficient
Fig. 1Longitudinal plots showing changes between supine (phase A) and beach chair position (phase B) for ABPFINGER (a), FV (b), PI (c),nICP (d), and nCPP (e). Triangles on the plots represent the mean values for each variable at a specific surgical phase. Thick black lines represent the linear fit of the data; grey shadowed areas represent the 95% confidence interval of the linear model representative of the data. ABP arterial blood pressure, FV cerebral blood flow velocity, PI pulsatility index, nICP non-invasive intracranial pressure, nCPP non-invasive cerebral perfusion pressure
Fig. 2Longitudinal plot showing changes between supine (phase A) and beach chair position (phase B) for cerebral autoregulation index (Mxa). Triangles on the plots represent the mean values for each variable at a specific surgical phase. Thick black lines represents the linear fit of the data; grey shadowed areas represent the 95% confidence interval of the linear model representative of the data
Fig. 3Longitudinal plots showing changes between supine (phase A) and beach chair position (phase B) for critical closing pressure (CrCP—a) and the diastolic closing margin (DCM—b). Triangles on the plots represent the mean values for each variable at a specific surgical phase. Thick black lines represent the linear fit of the data; grey shadowed areas represent the 95% confidence interval of the linear model representative of the data