Predictors of Postoperative Complications in Vestibular Schwannoma Surgery-A Population-Based Study

Construction and validation of a risk prediction model for postoperative pulmonary infection in patients with brain tumor: a retrospective study

Objectives

This study aimed to investigate the influencing factors and construct a risk prediction model for postoperative pulmonary infection in patients with brain tumor.

Methods

This investigation encompassed a cohort of 636 individuals who were diagnosed with brain tumors and underwent surgical treatment between October 2019 and October 2023. According to the ratio of 7:3, the patients were randomly divided into training set and validation set. Univariate analysis and multivariate Logistic regression analysis were performed on the data in the training set. Finally, the independent risk factors of postoperative pulmonary infection in patients with brain tumor were screened out. R software was used to establish a nomogram model for predicting the risk of postoperative pulmonary infection. Receiver operating characteristic (ROC) curve, calibration curve and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model. Decision curve analysis was used to evaluate the clinical benefit of the model.

Results

The prevalence of postoperative pulmonary infection in patients with brain tumors was 17.9%. The nomogram contained several independent risk factors: age ≥ 60 years, diabetes mellitus, GCS score < 13 points, postoperative bedtime, and postoperative D-Dimer. The prediction model yielded an area under the curve (AUC) of 0.814 (95% confidence interval CI [0.756-0.873]) in the training set, and an AUC of 0.752 (95% CI [0.653-0.850]) in the validation set. The P-values for the Hosmer-Lemeshow test in the training set are 0.629, while in the validation set, they are 0.128. Decision curve analysis demonstrated that the model's clinical effectiveness is satisfactory.

Conclusions

Age ≥ 60 years, diabetes mellitus, GCS score < 13 points, postoperative bedtime and postoperative D-Dimer are risk factors for postoperative pulmonary infection in patients with brain tumor. The developed prediction model demonstrates substantial predictive value and clinical applicability, serving as a valuable reference for medical professionals in recognizing postoperative pulmonary infections in patients with brain tumors and facilitating preventive nursing measures.

Prevalence of dysphagia following posterior fossa tumor resection: a systematic review and meta‑analysis

OBJECTIVE

Dysphagia is common in individuals who have undergone posterior fossa tumor (PFT) resection and negatively impacts on the individual's quality of life, nutritional status, and overall health. We aimed to quantitatively synthesize data from studies of the prevalence of dysphagia following PFT resection.

METHODS

PubMed, Web of Science, the Cochrane Library, Embase, China National Knowledge Infrastructure (CNKI), Wanfang database, and VIP database were searched for case-control and cross-sectional studies that evaluated the prevalence of dysphagia after PFT surgery. Meta-analyses were performed to determine the prevalence of dysphagia. Subgroup and meta-regression analyses were performed to determine the sources of heterogeneity among the studies.

RESULTS

A total of 22 studies were included, involving 20,921 cases. A meta-analysis of the random-effects model showed that the pooled global prevalence of dysphagia following PFT resection was 21.7% (95% confidence interval: 16.9-26.6). The subgroup and meta-regression analyses demonstrated that participant age (P < 0.001), assessment methods (P = 0.004), and geographical region of the study participants (P = 0.001) were sources of heterogeneity among the studies.

CONCLUSIONS

Dysphagia has a high prevalence following PFT resection. Individuals with PFTs who are at a high risk for dysphagia should be identified early through screening. Multidisciplinary diagnosis and treatment of dysphagia are required to improve the outcomes in the early stages after PFT resection.

Refining the predictive value of preoperative apparent diffusion coefficient (ADC) by whole-tumor analysis for facial nerve outcomes in vestibular schwannomas

BACKGROUND

Apparent diffusion coefficient (ADC) in MRI has been shown to correlate with postoperative House-Brackmann (HB) scores in patients with vestibular schwannoma despite limited methodology. To rectify limitations of single region of interest (ROI) sampling, we hypothesize that whole-tumor ADC histogram analysis will refine the predictive value of this preoperative biomarker related to postoperative facial nerve function.

METHODS

Of 155 patients who underwent resection of vestibular schwannoma (2014-2020), 125 patients were included with requisite clinical and radiographic data. After volumetric analysis and whole-tumor ADC histogram, regression tree analysis identified ADC cutoff for significant differences in HB grade. Outcomes were extent of resection, facial nerve function, hospital length of stay (LOS), and complications.

RESULTS

Regression tree analysis defined three quantitative ADC groups (× 10-6 mm2/s) as high (> 2248.77; HB 1.7), mid (1468.44-2248.77; HB 3.1), and low (< 1468.44; HB 2.3) range (p 0.04). The mid-range ADC group had significantly worse postoperative HB scores and longer hospital LOS. Large tumor volume was independently predictive of lower rates of gross total resection (p <0.0001), higher postoperative HB score (p 0.002), higher rate of complications (p 0.04), and longer LOS (p 0.003).

CONCLUSIONS

Whole-tumor histogram yielded a robust regression tree analysis that defined three ADC groups with significantly different facial nerve outcomes. This likely reflects tumor heterogeneity better than solid-tumor ROI sampling. Whole-tumor ADC warrants further study as a useful radiographic biomarker in patients with vestibular schwannoma who are considering surgical resection.

Risk Factors for Post-Operative Pulmonary Infection in Patients With Brain Tumors: A Systematic Review and Meta-Analysis

Background: This study aims to analyze the risk factors for post-operative pulmonary infection in patients with brain tumors by meta-analysis to provide a reference for its prevention. Methods: PubMed, Embase, Web of Science, Cochrane Library, Ovid, and four Chinese databases (CNKI, SinoMed, VIP, and Wanfang databases) were searched for studies covering risk factors of pulmonary infection in patients with brain tumors, limited to the duration from the dates of inception of the respective databases to December 31, 2022. The Newcastle-Ottawa scale was used to assess the evidence. A meta-analysis of the factors affecting the incidence of pulmonary infection was performed using Revman 5.4 software. Results: Twelve studies were selected, covering 35,615 patients with brain tumors, among whom pulmonary infection occurred in 1,635 cases with an accumulated incidence of 4.6%, including 38 related risk factors. Meta-analysis results indicated: history of chronic pulmonary disease (odds ratio [OR], 5.74; 95% confidence interval [CI], 1.34-24.51; p = 0.02], diabetes mellitus (OR, 1.58; 95% CI, 1.29-1.95; p < 0.0001), history of cardiovascular disease (OR, 3.97; 95% CI, 2.18-7.24; p < 0.00001), age ≥60 years (OR, 1.55; 95% CI, 1.12-2.15; p = 0.009)], operation time ≥3 hours (OR, 1.03; 95% CI, 1.00-1.05; p = 0.03], Glasgow Coma Scale (GCS) score <13 (OR, 3.5; 95% CI, 1.90-6.46; p < 0.0001), and the American Society of Anesthesiologists classification (ASA) ≥3 (OR, 2.03; 95% CI, 1.68-2.46; p < 0.00001) as independent risk factors. Conclusions: History of chronic pulmonary disease, diabetes mellitus, history of cardiovascular disease, age ≥60 years, operation time ≥3 hours, GCS score <13, and the ASA grade ≥3 are independent risk factors for post-operative pulmonary infection in patients with brain tumors, which nursing staff should be aware of.

Decision Making for Active Surveillance in Vestibular Schwannoma

Objective

To describe the experiences of patients who elected for the active surveillance treatment option for their vestibular schwannoma (VS).

Study Design

Twenty-two patients participated in semistructured patient interviews.

Setting

Interviews were conducted between March and April 2021 via telephone with audio recordings and notes taken during each interview.

Patients

Adults diagnosed with a VS and at any point after their diagnosis underwent a period of active surveillance were recruited based on the diagnosis made by MRI. Patients were excluded if they chose to undergo treatment immediately, had a diagnosis of neurofibromatosis type 2, or if they had a confirmed alternative diagnosis.

Intervention

This intervention was a qualitative interview to assess patient experiences with their VS treatment decision.

Main Outcome Measures

Identifying abstract categories that represent many of the stories told by the participants that produces a theory grounded in the data with explanatory power.

Results

Factors that influenced patients' treatment decisions were perceived physician bias, selfeducation, and personal accounts of VS patients through support groups, and side effects/complications of the various treatment options.

Conclusion

Patients who opted for active surveillance as a treatment option reported high satisfaction with their decision and greater confidence in future treatments that would be necessary based on tumor growth. Future work should be done to increase shared decision making between the physician and patient to arrive at a treatment plan that aligns with their goals of care as well as potentially reducing overtreatment of VS.

Tumor-Related and Patient-Related Variables Affecting Length of Hospital Stay Following Vestibular Schwannoma Microsurgery

OBJECTIVE

Review a single institution's vestibular schwannoma (VS) microsurgery experience to determine (1) correlations between demographics, comorbidities, and/or surgical approach on hospital length of stay (LOS) and discharge disposition and (2) trends in surgical approach over time.

METHODS

Retrospective case series from a multidisciplinary skull base program at a tertiary care, academic hospital. All adult (>18 years) patients undergoing primary microsurgery for VS between 2008 and 2018 were included.

RESULTS

A total of 147 subjects were identified. Surgical approach was split between middle fossa (MF) (16%), retrosigmoid (RS) (35%), and translabyrinthine (TL) (49%) craniotomies. For the 8% of patients had other than routine (OTR) discharge. Mean LOS was significantly longer for patients undergoing RS than either MF or TL. Brainstem compression by the tumor was associated with longer LOS as were diagnoses of chronic obstructive pulmonary disease (COPD) and peripheral vascular disease (PVD). For all discharges, the 40 to 50- and 50 to 60-year-old subgroups had significantly shorter LOS than the 70-years-and-older patients. For the 92% of patients routinely discharged, there was a significantly shorter LOS in the 40 to 50-year-olds compared to the 70-years-and-older patients. There was a significant shift in surgical approach from RS to TL over the study period.

CONCLUSION

Over 90% of VS microsurgery patients were routinely discharged with a median hospital LOS of 3.2 days, both of which are consistent with published data. There is an inverse relationship between age and LOS with patients older than 70 years having significantly longer LOS. Brainstem compression, COPD, PVD, and the RS approach negatively affect LOS.

LEVEL OF EVIDENCE

4.