Journal of the neurological sciences · 2020
Transcranial Doppler velocity and associations with delayed cerebral ischemia in aneurysmal subarachnoid Hemorrhage.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Chang Jason J, Triano Matthew, Corbin Maite J, Desale Sameer, Liu Ai-Hsi, Felbaum Daniel R, Mai Jeffrey C, Armonda Rocco A, Aulisi Edward F
Аннотация
BACKGROUND AND PURPOSE: We evaluated optimal transcranial Doppler (TCD) measures for predicting delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (aSAH).
MATERIAL AND METHODS: Consecutive patients with aSAH and daily middle cerebral artery (MCA) TCD recordings were retrospectively analyzed. Change in TCD velocity was obtained by creating a smoothing curve. Change in TCD velocity was determined with a linear regression model that confirmed greatest change in velocity associated with DCI occurred at days 2-7. Multivariate logistic regression analysis was then completed.
RESULTS: 95 patients were evaluated. Increase in TCD velocity at days 2-7 proved to be the best predictor for DCI with an optimal cutoff of 8.9 cm/s/day (p = .019) and AUC 0.651. Multivariate logistic regression analysis using DCI as outcome showed that poor admission Hunt-Hess scores (OR 5.02, 95%CI 1.22-22.67, p = .028) and increases in TCD velocity (OR 5.32, 95%CI 1.41-23.33, p = .018) were independently associated with DCI.
CONCLUSIONS: We found that relative increases in TCD velocities in the MCAs during the first 7 days (with a threshold increase of 53.4 cm/s from days 2 to 7) after aSAH admission were independently associated with DCI. This association requires independent confirmation.
MATERIAL AND METHODS: Consecutive patients with aSAH and daily middle cerebral artery (MCA) TCD recordings were retrospectively analyzed. Change in TCD velocity was obtained by creating a smoothing curve. Change in TCD velocity was determined with a linear regression model that confirmed greatest change in velocity associated with DCI occurred at days 2-7. Multivariate logistic regression analysis was then completed.
RESULTS: 95 patients were evaluated. Increase in TCD velocity at days 2-7 proved to be the best predictor for DCI with an optimal cutoff of 8.9 cm/s/day (p = .019) and AUC 0.651. Multivariate logistic regression analysis using DCI as outcome showed that poor admission Hunt-Hess scores (OR 5.02, 95%CI 1.22-22.67, p = .028) and increases in TCD velocity (OR 5.32, 95%CI 1.41-23.33, p = .018) were independently associated with DCI.
CONCLUSIONS: We found that relative increases in TCD velocities in the MCAs during the first 7 days (with a threshold increase of 53.4 cm/s from days 2 to 7) after aSAH admission were independently associated with DCI. This association requires independent confirmation.