Dataset Information

Insular cortex Hounsfield units predict postoperative neurocardiogenic injury in patients with aneurysmal subarachnoid hemorrhage.

ABSTRACT:

Objective

Our study aims to investigate the association between the Hounsfield unit (Hu) value of the insular cortex (IC) during emergency admission and the subsequent occurrence of post-operative neurocardiogenic injury (NCI) among patients afflicted with aneurysmal subarachnoid hemorrhage (aSAH).

Methods

Patients baseline characteristics were juxtaposed between those with and without NCI. The significant variables were incorporated into a multivariable stepwise logistic regression model. Receiver operating characteristic (ROC) curves were drafted for each significant variable, yielding cutoff values and the area under the curve (AUC). Subgroup and sensitivity analyses were performed to assess the predictive performance across various cohorts and ascertain result stability. Propensity score matching (PSM) was ultimately employed to redress any baseline characteristic disparities.

Results

Patients displaying a right IC Hu value surpassing 28.65 exhibited an escalated risk of postoperative NCI upon confounder adjustment (p < 0.001). The ROC curve eloquently manifested the predictive capacity of right IC Hu in relation to NCI (AUC = 0.650, 95%CI, 0.591-0.709, p < 0.001). Further subgroup analysis revealed significant interactions between right IC Hu and factors such as age, history of heart disease, and Graeb 5-12 score. Sensitivity analysis further upheld the results' significant (p = 0.002). The discrepancy in NCI incidence between the two groups, both prior (p < 0.002) and post (p = 0.039) PSM, exhibited statistical significance. After PSM implementation, the likelihood of NCI displayed an ascending trend with increasing right IC Hu values, from the Hu₁ cohort onward, receding post the Hu₄ cohort.

Conclusion

This study definitively establishes an elevated right IC Hu value in the early stages of emergency admission as an autonomous predictor for ensuing NCI subsequent to aSAH.

SUBMITTER: Jia Y

PROVIDER: S-EPMC10723248 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

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Publications

Insular cortex Hounsfield units predict postoperative neurocardiogenic injury in patients with aneurysmal subarachnoid hemorrhage.

Jia Yitong Y Lin Fa F Li Runting R Chen Yu Y Yang Jun J Han Heze H Wang Ke K Yuan Kexin K Zhao Yang Y Lu Junlin J Li Tu T Nie Zhaobo Z Zhou Yunfan Y Shi Guangzhi G Li Youxiang Y Zhao Yuanli Y Chen Xiaolin X Wang Shuo S

Annals of clinical and translational neurology 20231018 12

<h4>Objective</h4>Our study aims to investigate the association between the Hounsfield unit (Hu) value of the insular cortex (IC) during emergency admission and the subsequent occurrence of post-operative neurocardiogenic injury (NCI) among patients afflicted with aneurysmal subarachnoid hemorrhage (aSAH).<h4>Methods</h4>Patients baseline characteristics were juxtaposed between those with and without NCI. The significant variables were incorporated into a multivariable stepwise logistic regressi ...[more]

PMID: 37853930

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Project description:BackgroundDespite intensive research on preventing and treating vasospasm and delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage (aSAH), mortality and morbidity rates remain high. Early brain injury (EBI) has emerged as possibly the major significant factor in aSAH pathophysiology, emphasizing the need to investigate EBI-associated clinical events for improved patient management and decision-making. This study aimed to identify early clinical and radiological events within 72 h after aSAH to develop a conclusive predictive EBI score for clinical practice.MethodsThis retrospective analysis included 561 consecutive patients with aSAH admitted to our neurovascular center between 01/2014 and 09/2022. Fourteen potential predictors occurring within the initial 72 h after hemorrhage were analyzed. The modified Rankin Scale (mRS) score at 6 months, discretized to three levels (0-2, favorable; 3-5, poor; 6, dead), was used as the outcome variable. Univariate ordinal regression ranked predictors by significance, and forward selection with McFadden's pseudo-R2 determined the optimal set of predictors for multivariate proportional odds logistic regression. Collinear parameters were excluded, and fivefold cross-validation was used to avoid overfitting.ResultsThe analysis resulted in the Subarachnoid Hemorrhage Associated Early Brain Injury Outcome Prediction score (SHELTER-score), comprising seven clinical and radiological events: age (0-4 points), World Federation of Neurosurgical Societies (0-2.5 points), cardiopulmonary resuscitation (CPR) (2 points), mydriasis (1-2 points), midline shift (0.5-1 points), early deterioration (1 point), and early ischemic lesion (2 points). McFadden's pseudo-R2 = 0.339, area under the curve for death or disability 0.899 and 0.877 for death. A SHELTER-score below 5 indicated a favorable outcome (mRS 0-2), 5-6.5 predicted a poor outcome (mRS 3-5), and ≥ 7 correlated with death (mRS 6) at 6 months.ConclusionsThe novel SHELTER-score, incorporating seven clinical and radiological features of EBI, demonstrated strong predictive performance in determining clinical outcomes. This scoring system serves as a valuable tool for neurointensivists to identify patients with poor outcomes and guide treatment decisions, reflecting the great impact of EBI on the overall outcome of patients with aSAH.

Project description:Background and purposeEarly brain injury may be a more significant contributor to poor outcome after aneurysmal subarachnoid hemorrhage (aSAH) than vasospasm and delayed cerebral ischemia. However, studying this process has been hampered by lack of a means of quantifying the spectrum of injury. Global cerebral edema (GCE) is the most widely accepted manifestation of early brain injury but is currently assessed only through subjective, qualitative or semi-quantitative means. Selective sulcal volume (SSV), the CSF volume above the lateral ventricles, has been proposed as a quantitative biomarker of GCE, but is time-consuming to measure manually. Here we implement an automated algorithm to extract SSV and evaluate the age-dependent relationship of reduced SSV on early outcomes after aSAH.MethodsWe selected all adults with aSAH admitted to a single institution with imaging within 72 hours of ictus. Scans were assessed for qualitative presence of GCE. SSV was automatically segmented from serial CTs using a deep learning-based approach. Early SSV was the lowest SSV from all early scans. Modified Rankin Scale score of 4 to 6 at hospital discharge was classified as a poor outcome.ResultsTwo hundred forty-four patients with aSAH were included. Sixty-five (27%) had GCE on admission while 24 developed it subsequently within 72 hours. Median SSV on admission was 10.7 mL but frequently decreased, with minimum early SSV being 3.0 mL (interquartile range, 0.3-11.9). Early SSV below 5 mL was highly predictive of qualitative GCE (area under receiver-operating-characteristic curve, 0.90). Reduced early SSV was an independent predictor of poor outcome, with a stronger effect in younger patients.ConclusionsAutomated assessment of SSV provides an objective biomarker of GCE that can be leveraged to quantify early brain injury and dissect its impact on outcomes after aSAH. Such quantitative analysis suggests that GCE may be more impactful to younger patients with SAH.

Dataset Information

Insular cortex Hounsfield units predict postoperative neurocardiogenic injury in patients with aneurysmal subarachnoid hemorrhage.

Objective

Methods

Results

Conclusion

Publications

Insular cortex Hounsfield units predict postoperative neurocardiogenic injury in patients with aneurysmal subarachnoid hemorrhage.

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