Hospital Frailty Risk Score Predicts Adverse Events and Readmission Following a Ventriculoperitoneal Shunt Surgery for Normal Pressure Hydrocephalus

MRI-Based Prediction of Clinical Improvement after Ventricular Shunt Placement for Normal Pressure Hydrocephalus: Development and Evaluation of an Integrated Multisequence Machine Learning Algorithm

BACKGROUND AND PURPOSE

Symptoms of normal pressure hydrocephalus (NPH) are sometimes refractory to shunt placement, with limited ability to predict improvement for individual patients. We evaluated an MRI-based artificial intelligence method to predict postshunt NPH symptom improvement.

MATERIALS AND METHODS

Patients with NPH who underwent MRI before shunt placement at a single center (2014-2021) were identified. Twelve-month postshunt improvement in mRS, incontinence, gait, and cognition were retrospectively abstracted from clinical documentation. 3D deep residual neural networks were built on skull-stripped T2-weighted and FLAIR images. Predictions based on both sequences were fused by additional network layers. Patients from 2014-2019 were used for parameter optimization, while those from 2020-2021 were used for testing. Models were validated on an external validation data set from a second institution (n = 33).

RESULTS

Of 249 patients, n = 201 and n = 185 were included in the T2-based and FLAIR-based models according to imaging availability. The combination of T2-weighted and FLAIR sequences offered the best performance in mRS and gait improvement predictions relative to models trained on imaging acquired by using only 1 sequence, with area under the receiver operating characteristic (AUROC) values of 0.7395 [0.5765-0.9024] for mRS and 0.8816 [0.8030-0.9602] for gait. For urinary incontinence and cognition, combined model performances on predicting outcomes were similar to FLAIR-only performance, with AUROC values of 0.7874 [0.6845-0.8903] and 0.7230 [0.5600-0.8859].

CONCLUSIONS

Application of a combined algorithm by using both T2-weighted and FLAIR sequences offered the best image-based prediction of postshunt symptom improvement, particularly for gait and overall function in terms of mRS.

Hospital frailty risk score predicts high-value care outcomes following brain metastasis resection

OBJECTIVE

Brain metastases (BM) are the most common adult intracranial tumors, representing a significant source of morbidity in patients with systemic malignancy. Frailty indices, including 11- and 5-factor modified frailty indices (mFI-11 and mFI-5), American Society of Anesthesiologists (ASA) physical status classification, and Charlson Comorbidity Index (CCI), have recently demonstrated an important role in predicting high-value care outcomes in neurosurgery. This study aims to investigate the efficacy of the newly developed Hospital Frailty Risk Score (HFRS) on postoperative outcomes in BM patients.

METHODS

Adult patients with BM treated surgically at a single institution were identified (2017-2019). HFRS was calculated using ICD-10 codes, and patients were subsequently separated into low (<5), intermediate (5-15), and high (>15) HFRS cohorts. Multivariate logistic regressions were utilized to identify associations between HFRS and complications, length of stay (LOS), hospital charges, and discharge disposition. Model discrimination was assessed using receiver operating characteristic (ROC) curves.

RESULTS

A total of 356 patients (mean age: 61.81±11.63 years; 50.6 % female) were included. The mean±SD for HFRS, mFI-11, mFI-5, ASA, and CCI were 6.46±5.73, 1.31±1.24, 0.95±0.86, 2.94±0.48, and 8.69±2.07, respectively. On multivariate analysis, higher HFRS was significantly associated with greater complication rate (OR=1.10, p<0.001), extended LOS (OR=1.13, p<0.001), high hospital charges (OR=1.14, p<0.001), and nonroutine discharge disposition (OR=1.12, p<0.001), and comparing the ROC curves of mFI-11, mFI-5, ASA,and CCI, the predictive accuracy of HFRS was the most superior for all four outcomes assessed.

CONCLUSION

The predictive ability of HFRS on BM resection outcomes may be superior than other frailty indices, offering a new avenue for routine preoperative frailty assessment and for managing postoperative expectations.

Enhancing the quality of evidence, comparability, and reproducibility in ventriculoatrial shunt research for normal pressure hydrocephalus: A systematic review and VAS-NPH reporting guideline

BACKGROUND

Ventriculoatrial shunt (VAS) is an important treatment option for normal pressure hydrocephalus (NPH). However, clinical studies reporting the use of VAS for NPH lack sufficient standardization for meta-analytic comparisons that could provide robust evidence regarding its use. This study aims to assess the quality of reporting in these studies and develop a reporting guideline checklist to standardize terminology, concepts, and reporting while reinforcing the essential elements to ensure comparability and reproducibility.

METHODS

This is a systematic literature review that followed the PRISMA guidelines with the search in Medline, Embase, and Web of Science databases, with no timeframe restriction. The level of evidence of the studies was assessed using the GRADE system, and the rigor used in the publication of the results was assessed concerning adherence to the guidelines indicated by the EQUATOR Network Group. Furthermore, the studies were scrutinized focusing on eight domains: (1) Characteristics of the included studies and baseline characteristics of the patients; (2) Reporting methodology; (3) Pivotal concepts definition; (4) Adverse events assessment; (5) Data writing and reporting; (6) Detailed outcomes reporting; (7) Specific clinical outcomes assessment and reporting; and (8) Complications reporting.

RESULTS

A total of 14 studies with 734 patients and 753 shunts were included in this review, and the assessment exposes notable deficiencies in reporting, specifically in baseline patient details, methodology, and outcome assessments. Only two studies followed reporting guidelines, prompting concerns about comprehensive reporting of adverse events and intraoperative complications. Varied reporting completeness existed for shunt-related issues. The absence of standardized definitions for key concepts and insufficient intervention details were observed. A VAS-NPH reporting guideline, encompassing 36 items across eight domains, was developed to address these shortcomings.

CONCLUSION

This systematic review reveals significant deficiencies in methodological rigor and reporting quality. The proposed VAS-NPH Reporting Guideline covers all essential aspects and is a potential solution to rectify these shortcomings and increase transparency, comparability, and reproducibility. This initiative aims to advance the level of evidence and enhance knowledge regarding the use of VAS in NPH.

The Limited Utility of the Hospital Frailty Risk Score as a Frailty Assessment Tool in Neurosurgery: A Systematic Review

BACKGROUND AND OBJECTIVES

The Hospital Frailty Risk Score (HFRS) is an International Classification of Disease 10th Revision-based scale that was originally designed for, and validated in, the assessment of patients 75 years or older presenting in an acute care setting. This study highlights central tenets inherent to the concept of frailty; questions the logic behind, and utility of, HFRS' recent implementation in the neurosurgical literature; and discusses why there is no useful role for HFRS as a frailty-based neurosurgical risk assessment (FBNRA) tool.

METHODS

The authors performed a systematic review of the literature per Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, including all cranial and spinal studies that used HFRS as their primary frailty tool. Seventeen (N = 17) studies used HFRS to assess frailty's impact on neurosurgical outcomes. Thirteen total journals, 10 of which were neurosurgical journals, including the highest impact factor journals, published the 17 papers.

RESULTS

Increasing HFRS score was associated with adverse outcomes, including prolonged length of stay (11 of 17 studies), nonroutine discharge (10 of 17 studies), and increased hospital costs (9 of 17 studies). Four different HFRS studies, of the 17, predicted one of the following 4 adverse outcomes: worse quality of life, worse functional outcomes, reoperation, or in-hospital mortality.

CONCLUSION

Despite its rapid acceptance and widespread proliferation through the leading neurosurgical journals, HFRS lacks any conceptual relationship to the frailty syndrome or FBNRA for individual patients. HFRS measures acute conditions using International Classification of Disease 10th Revision codes and awards "frailty" points for symptoms and examination findings unrelated to the impaired baseline physiological reserve inherent to the very definition of frailty. HFRS lacks clinical utility as it cannot be deployed point-of-care at the bedside to risk stratify patients. HFRS has never been validated in any patient population younger than 75 years or in any nonacute care setting. We recommend HFRS be discontinued as an individual FBNRA tool.