Validation of a Predictive Scoring System for Ventriculoperitoneal Shunt Insertion After Aneurysmal Subarachnoid Hemorrhage

Chronic, Shunt-Dependent Hydrocephalus in Aneurysmal Subarachnoid Hemorrhage: Incidence, Risk Factors, Clinical Phenotypes, and Outcome

OBJECTIVE

The main aim was to determine the incidence, risk factors, clinical phenotypes, and response to shunt surgery in chronic, shunt-dependent hydrocephalus (SDHC) after aneurysmal subarachnoid hemorrhage (aSAH).

METHODS

In this observational, single-center study, 849 aSAH patients treated at Uppsala University Hospital between 2008-2018 were included. Variables on demography, injury severity, treatments, chronic hydrocephalus presentation, and outcome were evaluated.

RESULTS

In total, 107 (13%) patients were treated with a shunt due to SDHC. In multivariate logistic regressions, risk factors for SDHC were worse neurologic (World Federation of Neurosurgical Societies) grade, larger ventricles (Evans index) at admission, the need to insert an external ventricular drain (EVD), decompressive craniectomy, and complications with meningitis. Six different SDHC phenotypes were identified: impeded neurological recovery (55%), Hakim-Adams syndrome (17%), high-pressure symptoms (13%), failed EVD removal (8%), external brain herniation after decompressive craniectomy (DC; 6%), and subdural hygroma (1%). The former 3 groups significantly improved in modified Rankin Scale (mRS) and 87%-100% exhibited subjective symptomatic relief. There was no significant change in mRS for the latter 3 groups, but 60%-100% experienced some subjective relief postoperatively.

CONCLUSIONS

Chronic SDHC was a common complication after aSAH, particularly in patients with severe primary brain injury, acute hydrocephalus, and treatment-related factors. The condition presents with distinct clinical phenotypes, which may influence treatment response. Recognizing these phenotypes could aid in optimizing patient selection and expectations for shunt surgery outcomes.

Pretreatment and Posttreatment Factors Associated with Shunt-Dependent Hydrocephalus After Aneurysmal Subarachnoid Hemorrhage: A Systematic Review and Meta-Analysis

BACKGROUND

Hydrocephalus is a common complication after aneurysmal subarachnoid hemorrhage (aSAH). This study aimed to evaluate novel preoperative and postoperative risk factors for shunt-dependent hydrocephalus (SDHC) after aSAH via a systematic review and meta-analysis.

METHODS

A systematic search was conducted using PubMed and Embase databases for studies pertaining to aSAH and SDHC. Articles were assessed by meta-analysis if the number of risk factors for SDHC was reported by >4 studies and could be extracted separately for patients who did or did not develop SDHC.

RESULTS

Thirty-seven studies were included, comprising 12,667 patients with aSAH (SDHC 2214 vs. non-SDHC 10,453). In a primary analysis of 15 novel potential risk factors, 8 were identified to be significantly associated with increased prevalence of SDHC after aSAH, including high World Federation of Neurological Surgeons grades (odds ratio [OR], 2.43), hypertension (OR, 1.33), anterior cerebral artery (OR, 1.36), middle cerebral artery (OR, 0.65), and vertebrobasilar artery (2.21) involvement, decompressive craniectomy (OR, 3.27), delayed cerebral ischemia (OR, 1.65), and intracerebral hematoma (OR, 3.91).

CONCLUSIONS

Several new factors associated with increased odds of developing SDHC after aSAH were found to be significant. By providing evidence-based risk factors for shunt dependency, we describe an identifiable list of preoperative and postoperative prognosticators that may influence how surgeons recognize, treat, and manage patients with aSAH at high risk for developing SDHC.

Predicting Shunt Dependency from the Effect of Cerebrospinal Fluid Drainage on Ventricular Size

BACKGROUND

Prolonged external ventricular drainage (EVD) in patients with subarachnoid hemorrhage (SAH) leads to morbidity, whereas early removal can have untoward effects related to recurrent hydrocephalus. A metric to help determine the optimal time for EVD removal or ventriculoperitoneal shunt (VPS) placement would be beneficial in preventing the prolonged, unnecessary use of EVD. This study aimed to identify whether dynamics of cerebrospinal fluid (CSF) biometrics can temporally predict VPS dependency after SAH.

METHODS

This was a retrospective analysis of a prospective, single-center, observational study of patients with aneurysmal SAH who required EVD placement for hydrocephalus. Patients were divided into VPS-dependent (VPS+) and non-VPS dependent groups. We measured the bicaudate index (BCI) on all available computed tomography scans and calculated the change over time (ΔBCI). We analyzed the relationship of ΔBCI with CSF output by using Pearson's correlation. A k-nearest neighbor model of the relationship between ΔBCI and CSF output was computed to classify VPS.

RESULTS

Fifty-eight patients met inclusion criteria. CSF output was significantly higher in the VPS+ group in the 7 days post EVD placement. There was a negative correlation between delta BCI and CSF output in the VPS+ group (negative delta BCI means ventricles become smaller) and a positive correlation in the VPS- group starting from days four to six after EVD placement (p < 0.05). A weighted k-nearest neighbor model for classification had a sensitivity of 0.75, a specificity of 0.70, and an area under the receiver operating characteristic curve of 0.80.

CONCLUSIONS

The correlation of ΔBCI and CSF output is a reliable intraindividual biometric for VPS dependency after SAH as early as days four to six after EVD placement. Our machine learning model leverages this relationship between ΔBCI and cumulative CSF output to predict VPS dependency. Early knowledge of VPS dependency could be studied to reduce EVD duration in many centers (intensive care unit length of stay).

Cerebrospinal fluid predictors of shunt-dependent hydrocephalus after hemorrhagic stroke: a systematic review and meta-analysis

Hydrocephalus is a common complication of hemorrhagic stroke and has been reported to contribute to poor neurological outcomes. Herein, we aimed to investigate the validity of cerebrospinal fluid (CSF) data in predicting shunt-dependent hydrocephalus (SDHC) in patients with hemorrhagic stroke. PubMed, CENTRAL, and Embase databases were searched for relevant studies published through July 31, 2021. The 16 studies with 1505 patient included those in which CSF data predicted risk for SDHC and reports on CSF parameters in patients in whom SDHC or hydrocephalus that was not shunt-dependent developed following hemorrhagic stroke. We appraised the study quality using Newcastle-Ottawa Scale and conducted a meta-analysis of the pooled estimates of the CSF predictors. The meta-analysis revealed three significant CSF predictors for shunt dependency, i.e., higher protein levels (mean difference [MD] = 32.09 mg/dL, 95% confidence interval [CI] = 25.48-38.70, I² = 0%), higher levels of transforming growth factor β1 (TGF-β1; MD = 0.52 ng/mL, 95% CI = 0.42-0.62, I² = 0%), and higher ferritin levels (MD = 108.87 µg/dL, 95% CI = 56.68-161.16, I² = 36%). The red blood cell count, lactate level, and glucose level in CSF were not significant in predicting SDHC in patients with hemorrhagic stroke. Therefore, higher protein, TGF-β1, and ferritin levels in CSF are significant predictors for SDHC in patients with hemorrhagic stroke. Measuring these CSF parameters would help in the early recognition of SDHC risk in clinical care.

Quantitative Modeling of External Ventricular Drain Output to Predict Shunt Dependency in Aneurysmal Subarachnoid Hemorrhage: Cohort Study

BACKGROUND

Acute hydrocephalus is a common complication of aneurysmal subarachnoid hemorrhage (aSAH); however, attempts to predict shunt-dependent chronic hydrocephalus using clinical parameters have been equivocal.

METHODS

Cohort study of aSAH is treated with external ventricular drainage (EVD) placement at our institution, 2001-2016, via logistic regression. EVD-related parameters included mean/total EVD output (days 0-2), EVD days, EVD days ≤ 5 mmHg, and wean/clamp fails. aSAH outcomes assessed included ventriculoperitoneal shunt (VPS) placement, delayed cerebral ischemia (DCI), radiographic infarction (RI), symptomatic vasospasm (SV), age, and aSAH grades.

RESULTS

Two hundred and ten aSAH patients underwent EVD treatment for a median 12 days (range 1-54); 85 required VPS (40%). On univariate analysis, EVD output, total EVD days, EVD days ≤ 5 mmHg, and wean/clamp trial failures were significantly associated with VPS placement (p < 0.01 for all parameters). No EVD output parameter demonstrated a significant association with DCI, RI, or SV. On multivariate analysis, EVD output was a significant predictor of VPS placement, after adjusting for age and clinical and radiological grades; the optimal threshold for predicting VPS placement was mean daily output > 204 ml on days 0-2 (OR 2.59, 95% CI 1.31-5.07). Multiple wean failures were associated with unfavorable functional outcome, after adjusting for age, grade, and VPS placement (OR 1.65, 95% CI 1.10-2.47). We developed a score incorporating age, grade and EVD parameters (MAGE) for predicting VPS placement after aSAH.

CONCLUSIONS

EVD output parameters and wean/clamp trial failures predicted shunt dependence in an age- and grade-adjusted multivariable model. Early VPS placement may be warranted in patients with MAGE score ≥ 4, particularly following 2 failed wean trials.

Validation of shunt dependency prediction scores after aneurysmal spontaneous subarachnoid hemorrhage

BACKGROUND

Currently available scores for predicting shunt dependency after aneurysmal spontaneous subarachnoid hemorrhage (aSAH) are limited and not widely accepted. The key purpose of this study was to validate a recently created score for shunt dependency in aSAH (SDASH) in an independent population of aSAH patients. We compared this new SDASH score based on a combination of the Hunt and Hess grade, Barrow Neurological Institute (BNI) score, and the presence or not of acute hydrocephalus with other published predictive scores.

METHODS

The SDASH score, Hijdra score, BNI grading system, chronic hydrocephalus ensuing from SAH score (CHESS), Graeb score, and modified Graeb score (mGS) were calculated for a cohort of aSAH patients. Logistic regression analysis was used to determine the reliability of the SDASH score, and the area under the curve (AUC) of the receiver operating characteristics (ROC) curve was used to assess the discriminative ability of the model.

RESULTS

In 214 patients with aSAH, 40 (18.7%) developed shunt-dependent hydrocephalus (SDHC). The AUC for the SDASH score was 0.816. The SDASH score reliably predicted SDHC in aSAH (odds ratio: 2.93, 95% CI: 1.99-4.31; p < 0.001) with no statistically significant differences being found between the SDASH score and the CHESS score (AUC: 0.816), radiological-based Graeb score (AUC: 0.742), or modified Graeb score (AUC: 0.741). However, the Hijdra score (AUC: 0.673) and BNI grading system (AUC: 0.616) showed lower predictive values than the SDASH score.

CONCLUSIONS

Our findings support the ability of the SDASH score to predict shunt dependency after SAH in a population independent to that used to develop the score. The SDASH score may aid in the early management of hydrocephalus in aSAH, and it does not differ greatly from other predictive scores.

Prognostic Nomogram of Predictors for Shunt-Dependent Hydrocephalus in Patients with Aneurysmal Subarachnoid Hemorrhage Receiving External Ventricular Drain Insertion: A Single-Center Experience and Narrative Review

OBJECTIVE

This study aimed to create a prediction model with a radiographic score, serum, and cerebrospinal fluid (CSF) values for the occurrence of shunt-dependent hydrocephalus (SDHC) in patients with aneurysmal subarachnoid hemorrhage (aSAH) and to review and analyze literature related to the prediction of the development of SDHC.

METHODS

Sixty-three patients with aSAH who underwent external ventricular drain insertion were included and separated into 2 subgroups: non-SDHC and SDHC. Patient characteristics, computed tomography scoring system, and serum and CSF parameters were collected. Multivariate logistic regression was conducted to illustrate a nomogram for determining the predictors of SDHC. Furthermore, we sorted and summarized previous meta-analyses for predictors of SDHC.

RESULTS

The SDHC group had 42 cases. Stepwise logistic regression analysis revealed 3 independent predictive factors associated with a higher modified Graeb (mGraeb) score, lower level of estimated glomerular filtration rate group, and lower level of CSF glucose. The nomogram, based on these 3 factors, was presented with significant predictive performance (area under curve = 0.895) for SDHC development, compared with other scoring systems (AUC = 0.764-0.885). In addition, a forest plot was generated to present the 12 statistically significant predictors and odds ratio for correlations with the development of SDHC.

CONCLUSIONS

First, the development of a nomogram with combined significant factors had a good performance in estimating the risk of SDHC in primary patient evaluation and assisted in clinical decision making. Second, a narrative review, presented with a forest plot, provided the current published data on predicting SDHC.

A Cohort Comparison Analysis of Fixed Pressure Ventriculoperitoneal Shunt Valves With Programmable Valves for Hydrocephalus Following Nontraumatic Subarachnoid Hemorrhage

BACKGROUND

Hydrocephalus after nontraumatic subarachnoid hemorrhage (SAH) is a common sequela that may require the placement of ventriculoperitoneal shunts (VPS). Adjustable-pressure valves (APVs) are being widely used in this situation though more expensive than differential-pressure valves (DPVs).

OBJECTIVE

To compare outcomes between APV and DPV in SAH-induced hydrocephalus.

METHODS

We performed a retrospective chart review of patients with nontraumatic SAH who underwent VPS placement for the treatment of hydrocephalus after SAH, between July 2007 and December 2016. Patients were classified according to the type of valve (APV vs DPV). We evaluated factors that could predict the type of valve used, outcomes in VPS revision/replacement rate, and complications.

RESULTS

A total of 66 patients underwent VPS placement who were equally distributed into the 2 groups of valves. VPS failure with the need for revision/replacement occurred in 13 (19.7%) cases. Ten (30.3%) patients with DPV had a VPS failure, while 3 (9.1%) patients with an APV had a similar failure with the need for revision/replacement (P = .03). VPS placement before discharge during the initial hospitalization (P = .02) was statistically significant associated with the use of a DPV, while the reason of external ventricular drain (EVD) failure (P = .03) was associated with the use of an APV.

CONCLUSION

APVs had a lower rate of surgical revisions compared to DPVs. Early placement of VPS was associated with the use of a DPV. The need for EVD replacement due to EVD infection or malfunction was associated with higher rates of APV use.

Role of Cerebrospinal Fluid Markers for Predicting Shunt-Dependent Hydrocephalus in Patients with Subarachnoid Hemorrhage and External Ventricular Drain Placement

OBJECTIVE

We sought to identify potential risk factors for the development of shunt-dependent chronic hydrocephalus after aneurysmal subarachnoid hemorrhage (SAH) and external ventricular drain (EVD) insertion. In particular, the role of inflammatory markers within the cerebrospinal fluid (CSF) was assessed.

METHODS

For this single-center analysis, data were generated from consecutive patients with SAH and the need for EVD implantation treated on our neurosurgical intensive care unit between 2013 and 2015. Parameters were patient characteristics (age, sex, comorbidity), severity of SAH (according to the World Federation of Neurological Society score), imaging findings (intraventricular hemorrhage, diameter of the third ventricle, location of the ruptured aneurysm), and acute course of disease (cerebral infarction, vasospasm). Moreover, the impact of EVD drainage volume and CSF markers (total protein [_CSFTP], red blood cell count [_CSFRBC], interleukin-6 [_CSFIL-6], and glucose [_CSFGlc]) was assessed. Statistics including receiver-operating-curve with corresponding area-under-the-curve (AUC) analysis were calculated using SPSS.

RESULTS

Overall, 63 patients (21 males, mean age 55.2 years) were included. Twenty-one patients (30%) developed a shunt-dependent hydrocephalus. Significant risk factors for shunt dependency were the World Federation of Neurological Society score, cerebral infarction, and diameter of the third ventricle (P < 0.05). Moreover, CSF markers associated with shunt-dependent hydrocephalus included increased levels of _CSFTP on days 5 (AUC = 0.72)/11 (AUC = 0.97)/14 (AUC = 0.98), _CSFIL-6 on day 14 (AUC = 0.81), and _CSFRBC on day 15 (AUC = 0.83). The EVD drainage volume was not prognostic.

CONCLUSIONS

The time course of selected inflammatory markers in CSF may support management considerations in the early phase after SAH and critical impairment of CSF circulation.