Andrea Cattaneo

Background: The clinical utility of risk scores predicting shunt dependency after aneurysmal subarachnoid hemorrhage (aSAH) remains limited due to scarce validation data. This multicenter pooled analysis aimed to assess the predictive accuracy of existing post-aSAH shunt risk scores. Methods: Consecutive aSAH cases treated at two German university hospitals from January 2010 to July 2023 were pooled into a validation cohort. Total scores for the CHESS, CHESS-Huckman, and SDASH risk models were calculated, and their diagnostic performance was compared using receiver operating characteristic (ROC) curve analysis. Results: A total of 813 patients were included, of whom 215 (26.4%) required ventriculoperitoneal shunt placement within a median time of 29 days post-aSAH. All three risk scores were significantly associated with shunt dependency. ROC analysis showed that the CHESS-Huckman score had the highest predictive accuracy (AUC: 0.792, 95% CI: 0.761–0.824), followed by the SDASH (AUC: 0.782, 95% CI: 0.750–0.814) and CHESS (AUC: 0.780, 95% CI: 0.748–0.812) scores. Pairwise comparisons of AUCs were not statistically significant. All three scores showed good overall calibration, with CHESS–Huckman performing best, as confirmed by calibration intercepts and slopes, Brier scores, and decile-based analysis. Higher CHESS–Huckman scores correlated with earlier shunt placement, whereas delayed shunting (>30 days after aSAH) was most common in patients with moderate CHESS–Huckman scores (7–8 points), occurring in 47.4% of cases compared to 41.4% and 33.3% in patients scoring 0–6 and 9–10 points, respectively. Conclusions: This multicenter analysis validated existing risk scores for predicting shunt dependency after aSAH, with the CHESS–Huckman score demonstrating the nominally highest diagnostic accuracy. Integrating these risk scores into clinical practice could enhance early identification of patients requiring shunting, potentially reducing external ventricular drain weaning time, shortening hospital stays, and lowering the risk of cerebrospinal fluid infections.

Aneurysmal subarachnoid hemorrhage (aSAH) is a debilitating condition with significant morbidity and mortality rates. Despite advancements in treatment, understanding the underlying pathophysiology, particularly the inflammatory response, remains crucial for improving patient outcomes. In this study, we investigated the presence of transmembrane protein 119 (TMEM119) of microglial cells in cerebrospinal fluid (CSF) as a potential marker for neuroinflammation following aSAH. CSF samples were collected from aSAH patients, pathological and healthy controls, processed, and analyzed using immunocytochemistry. TMEM119-positive microglial cells were consistently identified in the CSF of aSAH patients, exhibiting amoeboid morphology and intense staining. Importantly, microglial cells were detected as early as the first day post-bleeding, persisting throughout the acute phase in some cases. Analysis of consecutive samples revealed varying trends in microglial cell numbers, with a peak during the initial phase followed by a gradual decline. Our findings suggest that microglia may migrate into the CSF following aSAH, potentially serving as an early predictor of inflammatory-related CNS damage. This study underscores the importance of understanding neuroinflammatory processes in aSAH and opens avenues for further research on the role of microglia in CNS disorders by liquid biopsy.