Unplanned intensive care unit readmission after surgical treatment in patients with newly diagnosed glioblastoma - forfeiture of surgically achieved advantages?

Regional and systemic complications following glioma resection: a systematic review and meta-analysis

Gliomas represent a heterogeneous group of primary brain tumors with variable biological behavior. High-grade variants, notably glioblastomas, exhibit aggressive growth and a poor prognosis. Although surgical resection is central to management, it may lead to systemic and regional postoperative complications that adversely affect outcomes. While neurological complications have been extensively studied, comprehensive analyses of non-neurological sequelae remain limited. This study aimed to estimate the pooled proportion of postoperative systemic and regional complications following glioma resection and to identify factors influencing these proportions. A systematic review and meta-analysis was conducted per PRISMA guidelines. PubMed, Web of Science, and Embase were searched for English-language articles published between January 2000 and November 2024 reporting postoperative complications in glioma resection patients. Pooled proportion were calculated using a random-effects model, and meta-regression assessed the impact of covariates including patient age, gender, publication date, geographical location, and sample size. Seventy-seven studies were included. The pooled proportions for postoperative complications were as follows: venous thromboembolism, 4.92% (95% CI: 1.51-10.05%); deep vein thrombosis, 4.75% (95% CI: 2.86-7.05%); urinary tract infection, 3.77% (95% CI: 0.81-8.47%); hydrocephalus, 2.53% (95% CI: 1.37-3.97%); pulmonary infection, 2.39% (95% CI: 1.15-3.99%); cerebrospinal fluid leak, 2.22% (95% CI: 0.99-3.87%); surgical site infection, 2.21% (95% CI: 1.48-3.07%); meningitis, 1.49% (95% CI: 0.47-2.96%); pulmonary embolism, 1.33% (95% CI: 0.74-2.06%); and sepsis, 1.12% (95% CI: 0.08-3.02%). Significant heterogeneity was observed across studies, with meta-regression revealing that geographical location, publication date, and patient age were significant moderators influencing certain complication rates. This meta-analysis demonstrates that, while systemic and regional complication rates following glioma resection are relatively low, they remain clinically significant. In particular, venous thromboembolism and deep vein thrombosis are notably prevalent. Moreover, significant heterogeneity-shaped by geography, publication date, and patient age-underscores the need for tailored perioperative strategies and further research.

Bone mineral density as potential individual prognostic biomarker in patients with neurosurgically treated spinal metastasis

INTRODUCTION

Bone mineral density (BMD) plays a crucial role in diagnosing and treating various systemic chronic diseases. Patients with multiple or singular spinal metastasis (SM) are typically in advanced stages of systemic cancer, often leading to significant alterations in BMD. The present study investigated the prognostic value of perioperative Hounsfield units (HU) as a surrogate independent marker for estimated BMD in patients with SM after surgical treatment (ST).

METHODS

HU values, serving as a surrogate for estimated BMD, were measured from circular regions of interest (ROIs) in the spine -first lumbar vertebra (L1)- from routine preoperative staging computed tomography (CT) scans in 187 patients after ST. The estimated BMD was stratified into pathologic and physiologic values and correlated with survival parameters in our cohorts.

RESULTS

Median L1 BMD of 92 patients (49%) with pathologic BMD was 79.5 HU (IQR 67.25-93.5) compared to 145 HU (IQR 123-166) for 95 patients (51%) with physiologic BMD (p ≤ 0.001). Patients with pathological BMD exhibited a median overall survival of 8 months compared to 12.2 months in patients with physiologic BMD (p = 0.006). Multivariable analysis revealed pathologic BMD as an independent negative prognostic predictor for increased 1 year mortality (AUC: 0.637, 95% CI: 0.556-0.718; p = 0.001).

CONCLUSIONS

The present study demonstrates that decreased perioperative BMD values, as derived from HU measurements, may represent a previously unrecognized negative prognostic factor in patients of SM after ST. The estimated perioperative BMD could emerge as an individualized, readily available potential biomarker for prognostic, treatment, and discussion of affected patients with SM.

Routine ICU Surveillance after Brain Tumor Surgery: Patient Selection Using Machine Learning

Background/Objectives: Routine postoperative ICU admission following brain tumor surgery may not benefit selected patients. The objective of this study was to develop a risk prediction instrument for early (within 24 h) postoperative adverse events using machine learning techniques. Methods: Retrospective cohort of 1000 consecutive adult patients undergoing elective brain tumor resection. Nine events/interventions (CPR, reintubation, return to OR, mechanical ventilation, vasopressors, impaired consciousness, intracranial hypertension, swallowing disorders, and death) were chosen as target variables. Potential prognostic features (n = 27) from five categories were chosen and a gradient boosting algorithm (XGBoost) was trained and cross-validated in a 5 × 5 fashion. Prognostic performance, potential clinical impact, and relative feature importance were analyzed. Results: Adverse events requiring ICU intervention occurred in 9.2% of cases. Other events not requiring ICU treatment were more frequent (35% of cases). The boosted decision trees yielded a cross-validated ROC-AUC of 0.81 ± 0.02 (mean ± CI95) when using pre- and post-op data. Using only pre-op data (scheduling decisions), ROC-AUC was 0.76 ± 0.02. PR-AUC was 0.38 ± 0.04 and 0.27 ± 0.03 for pre- and post-op data, respectively, compared to a baseline value (random classifier) of 0.092. Targeting a NPV of at least 95% would require ICU admission in just 15% (pre- and post-op data) or 30% (only pre-op data) of cases when using the prediction algorithm. Conclusions: Adoption of a risk prediction instrument based on boosted trees can support decision-makers to optimize ICU resource utilization while maintaining adequate patient safety. This may lead to a relevant reduction in ICU admissions for surveillance purposes.

Unexpected intensive care unit admission after surgery: impact on clinical outcome

PURPOSE OF REVIEW

This review is focused on providing insights into unplanned admission to the intensive care unit (ICU) after surgery, including its causes, effects on clinical outcome, and potential strategies to mitigate the strain on healthcare systems.

RECENT FINDINGS

Postoperative unplanned ICU admission results from a combination of several factors including patient's clinical status, the type of surgical procedure, the level of supportive care and clinical monitoring outside the ICU, and the unexpected occurrence of major perioperative and postoperative complications. The actual impact of unplanned admission to ICU after surgery on clinical outcome remains uncertain, given the conflicting results from several observational studies and recent randomized clinical trials. Nonetheless, unplanned ICU admission after surgery results a significant strain on hospital resources. Consequently, this issue should be addressed in hospital policy with the aim of implementing preoperative risk assessment and patient evaluation, effective communication, vigilant supervision, and the promotion of cooperative healthcare.

SUMMARY

Unplanned ICU admission after surgery is a multifactorial phenomenon that imposes a significant burden on healthcare systems without a clear impact on clinical outcome. Thus, the early identification of patient necessitating ICU interventions is imperative.

Synchronous versus metachronous spinal metastasis: a comparative study of survival outcomes following neurosurgical treatment

PURPOSE

Patients with spinal metastases (SM) from solid neoplasms typically exhibit progression to an advanced cancer stage. Such metastases can either develop concurrently with an existing cancer diagnosis (termed metachronous SM) or emerge as the initial indication of an undiagnosed malignancy (referred to as synchronous SM). The present study investigates the prognostic implications of synchronous compared to metachronous SM following surgical resection.

METHODS

From 2015 to 2020, a total of 211 individuals underwent surgical intervention for SM at our neuro-oncology facility. We conducted a survival analysis starting from the date of the neurosurgical procedure, comparing those diagnosed with synchronous SM against those with metachronous SM.

RESULTS

The predominant primary tumor types included lung cancer (23%), prostate cancer (21%), and breast cancer (11.3%). Of the participants, 97 (46%) had synchronous SM, while 114 (54%) had metachronous SM. The median overall survival post-surgery for those with synchronous SM was 13.5 months (95% confidence interval (CI) 6.1-15.8) compared to 13 months (95% CI 7.7-14.2) for those with metachronous SM (p = 0.74).

CONCLUSIONS

Our findings suggest that the timing of SM diagnosis (synchronous versus metachronous) does not significantly affect survival outcomes following neurosurgical treatment for SM. These results support the consideration of neurosurgical procedures regardless of the temporal pattern of SM manifestation.

Perioperative dexamethasone in high-grade gliomas: the short-term benefits and long-term harms

Dexamethasone has been commonly given to patients with a presumed new GBM in relatively large doses (6-16 mg daily for 1-2 weeks) since the 1960s without any rigorous evidence. This treatment with dexamethasone before the diagnosis and adjuvant therapy makes GBM patients unique compared to other newly diagnosed cancer patients. While dexamethasone may be beneficial, recent studies suggest that this potent immunosuppressant with pleiotropic effects is harmful in the long term. This perspective article summarizes the disadvantages of perioperative dexamethasone from multiple facets. It concludes that these growing data mandate rigorously testing the benefits of using perioperative dexamethasone.

Incurring detriments of unplanned readmission to the intensive care unit following surgery for brain metastasis

OBJECT

Postoperative intensive care unit (ICU) monitoring is a common regime after neurosurgical resection of brain metastasis (BM). In comparison, unplanned secondary readmission to the ICU after initial postoperative treatment course occurs in response to adverse events and might significantly impact patient prognosis. In the present study, we analyzed the potential prognostic implications of unplanned readmission to the ICU and aimed at identifying preoperatively collectable risk factors for the development of such adverse events.

METHODS

Between 2013 and 2018, 353 patients with BM had undergone BM resection at the authors' institution. Secondary ICU admission was defined as any unplanned admission to the ICU during the initial hospital stay. A multivariable logistic regression analysis was performed to identify preoperatively identifiable risk factors for unplanned ICU readmission.

RESULTS

A total of 19 patients (5%) were readmitted to the ICU. Median overall survival (mOS) of patients with unplanned ICU readmission was 2 months (mo) compared to 13 mo for patients without secondary ICU admission (p<0.0001). Multivariable analysis identified "multiple BM" (p=0.02) and "preoperative CRP levels > 10 mg/dl" (p=0.01) as significant and independent predictors of secondary ICU admission.

CONCLUSIONS

Unplanned ICU readmission following surgical therapy for BM is significantly related to poor OS. Furthermore, the present study identifies routinely collectable risk factors indicating patients that are at a high risk for unplanned ICU readmission after BM surgery.