Background: The Subdural Hematoma in the Elderly (SHE) score has been recently developed to assess the 30-day mortality in acute and chronic subdural hematomas in patients >65 years and has shown good reliability. We aimed to validate the SHE score's accuracy to predict 30-day mortality on a homogeneous cohort of patients undergoing surgical chronic subdural hematoma evacuation at our Institution. We also investigated whether the SHE score could reliably predict the occurrence of 30-day chronic subdural hematoma recurrence needing surgery. Methods: We included patients from our prospectively collected database from January 2018 to January 2021. Patients with the availability of the following information were enrolled: age, Glasgow Coma Scale score on admission, hematoma volume, medical history, and outcome at 30 days. The SHE score was calculated for each patient, and the association between greater scores and 30-day mortality was investigated and its ability to predict 30-day and disease recurrence. Statistical significance was assessed for P < 0.05. Results: Three hundred twenty-one patients were included. Of them, 40 (12.5%) displayed mortality within 30-day: specifically, 0% of the group of patients with SHE score = 0, 4.3% of SHE score = 1, 14.5% of SHE score = 2, 39.3% of SHE score = 3, and 37.5% of SHE score = 4, with a statistically significant linear trend between greater SHE scores and 30-day mortality rates (P < 0.001, area under the curve 0.75 [0.67–0.82]). No significant association of the SHE score with the risk of recurrence needing surgery was detected (P = 0.4). Conclusions: The SHE score proved helpful in predicting 30-day mortality in patients with chronic subdural hematomas, but no utility was observed to predict disease recurrence.

Use of the Subdural Hematoma in the Elderly (SHE) Score to Predict 30-Day Mortality After Chronic Subdural Hematoma Evacuation / Petrella L.; Muscas G.; Montemurro V.M.; Lastrucci G.; Fainardi E.; Pansini G.; Della Puppa A.. - In: WORLD NEUROSURGERY. - ISSN 1878-8750. - ELETTRONICO. - 157:(2022), pp. e294-e300. [10.1016/j.wneu.2021.10.072]

Use of the Subdural Hematoma in the Elderly (SHE) Score to Predict 30-Day Mortality After Chronic Subdural Hematoma Evacuation

Petrella L.;Muscas G.;Montemurro V. M.;Lastrucci G.;Fainardi E.;Della Puppa A.
2022

Abstract

Background: The Subdural Hematoma in the Elderly (SHE) score has been recently developed to assess the 30-day mortality in acute and chronic subdural hematomas in patients >65 years and has shown good reliability. We aimed to validate the SHE score's accuracy to predict 30-day mortality on a homogeneous cohort of patients undergoing surgical chronic subdural hematoma evacuation at our Institution. We also investigated whether the SHE score could reliably predict the occurrence of 30-day chronic subdural hematoma recurrence needing surgery. Methods: We included patients from our prospectively collected database from January 2018 to January 2021. Patients with the availability of the following information were enrolled: age, Glasgow Coma Scale score on admission, hematoma volume, medical history, and outcome at 30 days. The SHE score was calculated for each patient, and the association between greater scores and 30-day mortality was investigated and its ability to predict 30-day and disease recurrence. Statistical significance was assessed for P < 0.05. Results: Three hundred twenty-one patients were included. Of them, 40 (12.5%) displayed mortality within 30-day: specifically, 0% of the group of patients with SHE score = 0, 4.3% of SHE score = 1, 14.5% of SHE score = 2, 39.3% of SHE score = 3, and 37.5% of SHE score = 4, with a statistically significant linear trend between greater SHE scores and 30-day mortality rates (P < 0.001, area under the curve 0.75 [0.67–0.82]). No significant association of the SHE score with the risk of recurrence needing surgery was detected (P = 0.4). Conclusions: The SHE score proved helpful in predicting 30-day mortality in patients with chronic subdural hematomas, but no utility was observed to predict disease recurrence.
2022
157
e294
e300
Petrella L.; Muscas G.; Montemurro V.M.; Lastrucci G.; Fainardi E.; Pansini G.; Della Puppa A.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1256224
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