Rabinstein, Alejandro

Abstract Objective Shunt-dependent hydrocephalus is a common and costly complication of aneurysmal subarachnoid hemorrhage (aSAH), affecting up to 28% of survivors. Existing prediction tools, including the Chronic Hydrocephalus Ensuing from SAH Score (CHESS), have limited discriminative accuracy. We developed the CHECKMATE score, a clinically practical tool to improve prediction of ventriculoperitoneal shunt dependency after aSAH. Methods In this multicenter retrospective cohort of 486 patients with aSAH from Mayo Clinic (January 1, 2006-December 31, 2021), we used multivariable logistic regression and machine learning to identify independent predictors of ventriculoperitoneal shunt placement. The CHECKMATE score was derived from 5 weighted variables: symptomatic hydrocephalus (10 points), intraventricular hemorrhage (5 points), SAH volume greater than 10 mL (3 points), neutrophil-to-lymphocyte ratio greater than 12 (2 points), and 10-year incremental age thresholds starting at older than 60 years (1 point each). Results Of 486 patients (mean age, 56.3 years; 64.6% female), 137 (28.2%) required ventriculoperitoneal shunt placement. The CHECKMATE score achieved an area under the curve of 0.808 (compared to 0.737 for CHESS), with a sensitivity of 0.85, specificity of 0.67, and negative predictive value of 0.92 at the optimal cutoff of 14 points. Conclusions The CHECKMATE score outperforms CHESS for predicting ventriculoperitoneal shunt dependency after aSAH and is easily used at the bedside. Its high negative predictive value helps identify low-risk patients who may benefit from earlier external ventricular drain weaning and shorter hospital stays.

Background: Systolic blood pressure (SBP) fluctuation is linked to increased death or disability in intracerebral hemorrhage (ICH) patients. We analyzed data from the Antihypertensive Treatment of Acute Cerebral Hemorrhage (ATACH)-2 trial to explore whether the association between SBP fluctuation and 90-day outcomes varies with time from randomization. Methods: We calculated hourly SBP fluctuation based on the difference between maximum and minimum SBP during the first 24 hours post-randomization. Logistic regression models assessed the impact of SBP fluctuation on: 1) death or disability (modified Rankin scale [mRS] 4-6 at 90 days); 2) hematoma expansion (>33% increase in volume on 24-hour CT scan); 3) neurological deterioration within 24 hours (defined as ≥2-point decrease on Glasgow Coma Scale or ≥4-point increase on NIH Stroke Scale); and 4) acute kidney injury (AKI) within 72 hours. Adjustments were made for baseline Glasgow Coma Scale score, intraventricular hemorrhage, hematoma volume, and maximum SBP. Results: The hourly SBP fluctuations according to 90-day outcomes (dichotomized into good outcome, mRS 0-3, and poor outcome, mRS 4-6) in 961 patients with ICH are presented in Figure. The SBP fluctuation at 5 hours (p=0.014) and 6 hours (p=0.014) post randomization were significantly associated with death or disability at 90 days, with positive, but not statistically significant associations observed at all other points up to 13 hours after randomization. Risk of neurological deterioration within 24 hours was highly associated with SBP fluctuation, with the largest association observed between 1 (p<0.001) and 5 (p<0.001) hours following randomization, with significant associations observed up to 22 hours following randomization. Risk of hematoma expansion was associated with SBP fluctuation between 3 (p=0.015) and 8 (p=0.002) hours post randomization. Statistically significant associations between SPB fluctuations and risk of AKI were not observed. Conclusions: The first 8 hours following randomization are critical for reducing SBP fluctuations, as this period most strongly influences both short- and long-term outcomes in ICH patients. These findings suggest this time window is crucial for future interventions aimed at controlling SBP in ICH patients.

Background: A vast amount of literature is available on the burden of acute ischemic stroke (AIS). Yet, most information on AIS burden does not stratify by stroke severity, and the inclusion of mild strokes (National Institute of Health Stroke Scale < 5) might obscure the true impact of moderate-to-severe AIS. Therefore, it is important to understand the literature as it pertains to the epidemiological, clinical, humanistic, and economic burden of moderate-to-severe AIS from a global perspective. Methods: A systematic literature review (SLR) was conducted, including articles published between January 2015 and June 2023. The clinical burden search focused on patients with moderate or severe AIS. Due to the paucity of evidence, the humanistic and economic burdens were evaluated based on overall AIS studies. Abstract and full-text screening were conducted by 2 reviewers, with data extraction completed by 1 reviewer. In all, 136 studies were included in the SLR. Results: AIS caused a substantial burden for patients and the healthcare system. The clinical burden of AIS (specifically severe AIS) resulted in high mortality and worse functional outcomes across multiple demographics (female sex, older age, and patients with comorbidities). The economic burden of overall AIS was substantial, with inpatient costs as the primary driver (a mean or median stay of 7 days). The highest inpatient costs were reported in South Korea ($45,180) and the United States ($38,470). Conclusions: The review highlighted the huge burden of moderate-to-severe AIS, with patients experiencing worse outcomes with increased stroke severity. Further focus is needed on outcomes relating to moderate-to-severe AIS to fully understand the burden of stroke in this patient population.