RESUMO
OBJECTIVE: As a chronic complication of aneurysmal subarachnoid hemorrhage(aSAH), Shunt dependent hydrocephalus (SDHC) often leads to severe neurological deficits. At present, risk factors of SDHC after aSAH are being refined. So this study aims to investigate independent risk factors and develop a novel score to identify early the patients who require a permanent shunt. METHOD: Five hundred twenty-four patients treated in the first affiliated hospital of Harbin medical university from March 2019 to March 2021 were analyzed. We collected clinical and radiographic data of patients within 72 h after the ictus. The relevant factors were firstly analyzed by univariate analysis, and the significant factors (p < 0.05) were included in the multivariate logistic regression analysis to obtain the independent risk factors with statistical differences. The MAI score was established based on the contribution of different independent risk factors to the outcome. the new score was validated in another cohort (97 patients with aSAH from April and June 2021). RESULT: We enrolled 524 aneurysm patients and 41(7.82%) patients who underwent ventriculoperitoneal shunt (VPS) after aneurysm treatment. Based on univariate and multivariate analysis, Acute Hydrocephalus (OR 6.498,:95% confidence interval (CI) 1.98-21.33, p = 0.002), Intraventricular hemorrhage (OR 3.55,:95%CI 1.189-10.599, p = 0.023) and Modified Fisher score ≥ 3 (OR 5.846, 95%CI 2.649-12.900, p = 0.001) were independent risk factors. The novel score was assigned according to the contribution of different independent risk factors to the results. The MAI score: Modified Fisher grade ≥ 3 (1 point), Acute Hydrocephalus (1 point), Intraventricular hemorrhage (1 point). In the receiver operating characteristic curve analysis, the area under the curve (AUC) for the MAI score is 0.773 (p < 0.0001, 95%CI 0.686-0.861). Patients scoring 2-3 MAI points showed a 10-fold higher risk for shunt dependency than patients scoring 0-1 MAI points (p < 0.001). We performed internal validation of the MAI scoring system. The scoring system reliably predicted SDHC after aSAH. The AUC of the internal validation was 0.950 (p ï¼ 0.002, 95%CI 0.863-1.000). CONCLUSION: We develop a novel score based on univariate and multivariate analysis. The effectiveness of the MAI score has been confirmed in this study, which can more accurately predict SDHC after aASH and can be widely used in clinical practice. Prospective studies are needed for validation in the future.
