World Neurosurgery: X最新文献

Background

Postoperative complications after cranial or spine surgery are prevalent, and frailty can be a key contributing patient factor. Therefore, we evaluated frailty’s impact on 30-day mortality. We compared the discrimination for risk analysis index (RAI), modified frailty index-5 (mFI-5) and increasing patient age for predicting 30-day mortality.

Methods

Patients with major complications following neurosurgery procedures between 2012- 2020 in the ACS-NSQIP database were included. We employed receiver operating characteristic (ROC) curve and examined discrimination thresholds for RAI, mFI-5, and increasing patient age for 30-day mortality. Independent relationships were examined using multivariable analysis.

Results

There were 19,096 patients included in the study and in the ROC analysis for 30-day mortality, RAI showed superior discriminant validity threshold C-statistic 0.655 (95% CI: 0.644-0.666), compared to mFI-5 C-statistic 0.570 (95% CI 0.559-0.581), and increasing patient age C-statistic 0.607 (95% CI 0.595-0.619). When the patient population was divided into subsets based on the procedures type (spinal, cranial or other), spine procedures had the highest discriminant validity threshold for RAI (Cstatistic 0.717). Furthermore, there was a frailty risk tier dose response relationship with 30-day mortalityy (p<0.001).

Conclusion

When a major complication arises after neurosurgical procedures, frail patients have a higher likelihood of dying within 30 days than their non-frail counterparts. The RAI demonstrated a higher discriminant validity threshold than mFI-5 and increasing patient age, making it a more clinically relevant tool for identifying and stratifying patients by frailty risk tiers. These findings highlight the importance of initiatives geared toward optimizing frail patients, to mitigate long-term disability.

Background

Complications associated with ventriculoperitoneal shunt insertion constitute a significant cause of morbidity and mortality among hydrocephalus patients. Despite this, VP shunt placement has remained the mainstay of treatment for hydrocephalus. The aim of this study is to evaluate the complications of VP shunt surgery in our environment and to identify the risk factors associated with it.

Methodology

Patients who had VP shunt surgery over a period of two years (Jan 2015–December 2016) were evaluated retrospectively by reviewing their hospital records. The patients’ demography, aetiology and clinical presentation of the hydrocephalus, and complications were analysed using SPSS version 26.0. Results were presented in tables and figures.

Results

A total of 69 patients who had VP shunt over the study period had complete medical records available for review. Their age ranged between 2days and 68years with a male to female ratio of 1.8:1. Overall complication rate was 30.4%. Shunt malfunction (11.5%) and shunt infection (7.2%) were the commonest complications recorded. Late presentation was the most important risk factor for shunt complications.

Conclusion

The rate of shunt complications seen in this study compares fairly with studies in other parts of the world.

Background

Baseline values and the change of platelet count (PLT) during disease were reported to be associated with prognosis of patients with cancer and intensive care treatment. We aimed to evaluate the association between PLT with the course and prognosis of aneurysmal subarachnoid hemorrhage (SAH).

Methods

Admission (AdmPLT) and the 14-days mean PLT (MeanPLT) values of 763 SAH patients treated between 01/2005 and 06/2016 were recorded and, for further analysis, divided into four categories: <150, 150–260, 261–400 and > 400 × 10⁹/L. Primary endpoints were cerebral infarcts in follow-up computed tomography scans, in-hospital mortality and unfavorable outcome at 6-months follow-up defined as modified Rankin scale>3. Adverse events during SAH were assessed as secondary endpoints.

Results

Higher PLT values were independently associated with lower risk of cerebral infarction (MeanPLT: aOR = 0.65 per-PLT-category-increase, p = 0.001), in-hospital mortality (AdmPLT: aOR = 0.64, p = 0.017; MeanPLT: aOR = 0.23, p < 0.0001) and unfavorable outcome (AdmPLT: aOR = 0.70, p = 0.031; MeanPLT: aOR = 0.35, p < 0.0001). Moreover, individuals with poorer outcome were less prone to PLT increase during SAH (mean values: -+20.3 vs + 30.5 × 10⁹/L for cerebral infarction; +9.3 vs + 32.8 × 10⁹/L for in-hospital mortality; +14.4 vs + 31.1 × 10⁹/L for unfavorable outcome). The following adverse events during SAH were related to AdmPLT and/or MeanPLT: non-aneurysm related secondary rebleeding, intracranial hypertension requiring conservative treatment or decompressive craniectomy, sepsis and acute kidney failure.

Conclusion

Low PLT at admission and their less prominent increase during SAH were strongly linked with poor outcome of SAH. Further analysis is required to clarify the background of this association and potential therapeutic implications.

Introduction

Gliomas are the second most frequent primary brain tumors. Surgical resection remains a crucial part of treatment, as well as maximum preservation of neurological function. For this reason awake surgery has an important role.

The objectives of this article are to present our experience with awake surgery for gliomas in a South American center and to analyze how intraoperative functional findings may influence the extent of resection and neurological outcomes.

Materials and methods

Retrospective single center study of a cohort of adult patients undergoing awake surgery for brain glioma, by the same neurosurgeon, between 2012 and 2022 in the city of Buenos Aires, Argentina.

Results

A total of 71 patients were included (mean age 34 years, 62% males). Seventy seven percent of tumors were low grade, with average extent of resection reaching 94% of preoperative volumetric assessment. At six months follow up, 81.7% of patients presented no motor or language deficit.

Further analysis showed that having a positive mapping did not have a negative impact in the extent of resection, but was associated with short term postoperative motor and language deficits, among other variables, with later improvement.

Conclusion

Awake surgery for gliomas is a safe procedure, with the proper training. In this study it was observed that guiding the resection by negative mapping did not worsen the results and that positive subcortical mapping correlated with short term postoperative neurological deficits with posterior improvement within six months in most cases.

Objective

Osteoporosis is a common skeletal disease that greatly increases the risk of pathologic fractures and accounts for approximately 700,000 vertebral compression fractures (VCFs) annually in the United States. Cement augmentation procedures such as balloon kyphoplasty (KP) and percutaneous vertebroplasty (VP) have demonstrated efficacy in the treatment of VCFs, however, some studies report rates of readmission as high as 10.8% following such procedures. The purpose of this study was to employ Machine Learning (ML) algorithms to predict 30-day hospital readmission following cement augmentation procedures for the treatment of VCFs using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database.

Methods

ACS-NSQIP was queried to identify patients undergoing either KP or VP from 2011 to 2014. Three ML algorithms were constructed and tasked with predicting post-operative readmissions within this cohort of patients. Results: Postoperative pneumonia, ASA Class 2 designation, age, partially-dependent functional status, and a history of smoking were independently identified as highly predictive of readmission by all ML algorithms. Among these variables postoperative pneumonia (p < 0.01), ASA Class 2 designation (p < 0.01), age (p = 0.002), and partially-dependent functional status (p < 0.01) were found to be statistically significant. Predictions were generated with an average AUC value of 0.757 and an average accuracy of 80.5%.

Conclusions

Postoperative pneumonia, ASA Class 2 designation, partially-dependent functional status, and age are perioperative variables associated with 30-day readmission following cement augmentation procedures. The use of ML allows for quantification of the relative contributions of these variables toward producing readmission.

Objective

To develop a predictive model of incidence of traumatic spinal cord injury (TSCI).

Methods

The data for training the model included both the incidence data and the covariates. The incidence data were extracted from systematic reviews and the covariates were extracted from data available in the international road federation database. Then the feature processing measures were taken. First we defined a hyper-parameter, missing-value threshold, in order to eliminate features that exceed this threshold. To tackle the problem of overfitting of model we determined the Pearson correlation of features and excluded those with more than 0.7 correlation. After feature selection three different models including simple linear regression, support vector regression, and multi-layer perceptron were examined to fit the purposes of this study. Finally, we evaluated the model based on three standard metrics: Mean Absolute Error, Root Mean Square Error, and R².

Results

Our machine-learning based model could predict the incidence rate of TSCI with the mean absolute error of 4.66. Our model found “Vehicles in use, Total vehicles/Km of roads”, “Injury accidents/100 Million Veh-Km”, “Vehicles in use, Vans, Pick-ups, Lorries, Road Tractors”, “Inland surface Passengers Transport (Mio Passenger-Km), Rail”, and "% paved” as top predictors of transport-related TSCI (TRTSCI).

Conclusions

Our model is proved to have a high accuracy to predict the incidence rate of TSCI for countries, especially where the main etiology of TSCI is related to road traffic injuries. Using this model, we can help the policymakers for resource allocation and evaluation of preventive measures.

Purpose

We hypothesize that lower grade gliomas (LGG) can be identified and classified into two distinct subtypes: radiologically circumscribed Lower-Grade Gliomas (cLGG) and infiltrating Lower-Grade Gliomas (iLGG) based on radiological parameters and that these two different subtypes behave differently in terms of clinical outcomes.

Methods

We conducted a retrospective cohort study on surgical patients diagnosed with lower grade glioma over five years. Patient records and MRIs were reviewed, and neurosurgeons classified tumors into cLGG and iLGG groups.

Results

From the 165 patients in our cohort, 30 (18.2%) patients were classified as cLGG and 135 (81.8%) patients were classified as iLGG Mean age in cLGG was 31.4 years while mean age in iLGG was 37.9 years (p = 0.004). There was significant difference in mean blood loss between cLGG and iLGG groups (270 and 411 ml respectively, p = 0.020). cLGG had a significantly higher proportion of grade II tumors (p < 0.001). The overall mean survival time for the iLGG group was 14.96 ± 1.23 months, and 18.77 ± 2.72 months for the cLGG group. In univariate cox regression, the survival difference between LGG groups was not significant (HR = 0.888, p = 0.581), however on multivariate regression cLGG showed a significant (aHZ = 0.443, p = 0.015) positive correlation with survival. Intense contrast enhancement (HZ = 41.468, p = 0.018), blood loss (HZ = 1.002, p = 0.049), and moderately high Ki-67 (HZ = 4.589, p = 0.032) were also significant on univariate analyses.

Conclusion: cLGG and iLGG are radiologically distinct groups with separate prognoses, surgical experience, and associations.