Abstract
AIM:
Increased intracranial pressure (ICP) in hypoxic ischaemic brain injury (HIBI) can cause secondary ischaemic brain injury and culminate in brain death. Invasive ICP monitoring is limited by associated risks in HIBI patients. We sought to evaluate the agreement between invasive ICP measurements and non-invasive estimators of ICP (nICP) in HIBI patients.
METHODS:
Eligible consecutive adult (age > 18) cardiac arrest patients with HIBI were included as part of a single center prospective interventional study. Invasive ICP monitoring was undertaken and nICP measurements were undertaken using: a) transcranial Doppler ultrasonography (TCD), b) optic nerve sheet diameter ultrasound (ONSD) and c) jugular venous bulb pressure (JVP). Multiple measurements applied in linear mixed-effects models were considered to obtain the correlation coefficient between ICP and nICP as well as their prediction ability to detect intracranial hypertension (ICP ≥20 mm Hg).
RESULTS:
Eleven patients were included (median age of 47 [range 20-71], 8 male and 3 female). There was a linear relationship between ICP and nICP with ONSD (R = 0.53 [p < 0.0001]), JVP (R = 0.38 [p < 0.001]) and TCD (R = 0.30 [p < 0.01]). The ability to predict intracranial hypertension was highest for ONSD and TCD (AUC = 0.96 [95% CI: 0.90-1.00] and AUC = 0.91 [95% CI: 0.83-1.00], respectively). JVP presented the weakest prediction ability (AUC = 0.75 [95% CI: 0.56-0.94]).
CONCLUSIONS:
ONSD and TCD methods demonstrated agreement with invasively-monitored ICP, suggesting their potential roles in the detection of intracranial hypertension in HIBI after cardiac arrest.
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Artigo fortalece a utilização de ferramentas não invasivas de monitorização multimodal à beira leito
Artigo fortalece a utilização de ferramentas não invasivas de monitorização multimodal à beira leito
em pacientes instáveis.
A utilização do Doppler e ultrasonografia do nervo óptico à beira leito são capazes de estimar sinais de hipertensão intracraniana, permitindo manusear a volemia encefálica e a estabelecer estratégias de neuroproteção baseado em variáveis fisiológicas.
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