RESUMO
BACKGROUND: Optic nerve sheath diameter (ONSD) measurement is one of the non-invasive methods recommended for increased intracranial pressure (ICP) monitoring. AIM: This study aimed to evaluate the roles of optic nerve sheath diameter (ONSD) and ONSD/eyeball transverse diameter (ETD) ratio in predicting prognosis of death in comatose patients with acute stroke during their hospitalization. METHODS: A total of 67 comatose patients with acute stroke were retrospectively recruited. The ONSD and ETD were measured by cranial computed tomography (CT) scan. All patients underwent cranial CT scan within 24 h after coma onset. Patients were divided into death group and survival group according to their survival status at discharge. The differences of the ONSD and ONSD/ETD ratio between the two groups and their prognostic values were compared. RESULTS: The ONSD and ONSD/ETD ratio were 6.07 ± 0.72 mm and 0.27 ± 0.03 in the comatose patients, respectively. The ONSD was significantly greater in the death group than that in the survival group (6.32 ± 0.67 mm vs 5.65 ± 0.62 mm, t = 4.078, P < 0.0001). The ONSD/ETD ratio was significantly higher in the death group than that in the survival group (0.28 ± 0.03 vs 0.25 ± 0.02, t = 4.625, P < 0.0001). The area under the receiver operating characteristic curve was 0.760 (95%CI: 0.637-0.882, P < 0.0001) for the ONSD and 0.808 (95%CI: 0.696-0.920, P < 0.0001) for the ONSD/ETD ratio. CONCLUSION: The mortality increased in comatose patients with acute stroke when the ONSD was > 5.7 mm or the ONSD/ETD ratio was > 0.25. Both indexes could be used as prognostic tools for comatose patients with acute stroke. The ONSD/ETD ratio was more stable than the ONSD alone, which would be preferred in clinical practice.
RESUMO
BACKGROUND: Computed tomographic pulmonary angiography (CTPA) has been established as a first-line test in the acute pulmonary embolism (APE) diagnostic algorithm, but the assessment of the severity of APE by this method remains to be explored. PURPOSE: To retrospectively evaluate right ventricular (RV) dysfunction and severity in patients with APE without underlying cardiopulmonary disease using helical computed tomography (CT). MATERIAL AND METHODS: Seventy-three patients (35 men and 38 women) were divided into two groups according to the clinical findings: severe APE (n=22) and non-severe APE (n=51). Pulmonary artery CT obstruction index was calculated according to the location and degree of clots in the pulmonary arteries. Cardiovascular parameters including RV short axis and left ventricular (LV) short axis, RV short axis to LV short axis (RV/LV) ratio, main pulmonary artery, azygos vein, and superior vena cava diameters were measured. Leftward bowing of the interventricular septum, reflux of contrast medium into the inferior vena cava and azygos vein, and bronchial artery dilatation were also recorded. The results were analyzed by Mann-Whitney U test, chi(2) test, Spearman's rank correlation coefficient, and the area under the receiver operating characteristic curve (A(z)). RESULTS: CT obstruction index in patients with severe APE (median 43%) was higher than that of patients with non-severe APE (median 20%). Comparison of cardiovascular parameters between patients with severe and non-severe pulmonary embolism showed significant differences in RV short axis, LV short axis, RV/LV ratio, RV wall thickness, main pulmonary artery diameter, azygos vein diameter, leftward bowing of the interventricular septum, and bronchial artery dilatation. The correlation between CT obstruction indexes and cardiovascular parameters was significant. Spearman's rank correlation coefficient was highest between RV/LV ratio and CT obstruction index. A(z) values were significantly higher than 0.5 for CT obstruction index, LV short axis, RV/LV ratio, main pulmonary artery diameter, and azygos vein diameter. CONCLUSION: These results suggest that CTPA is a practical and accurate means for evaluating RV dysfunction of pulmonary embolism in patients without any underlying cardiopulmonary disease and can discriminate between severe and non-severe APE.
