Neurosurgery最新文献

Background and objectives: Compared with the modified Frailty Index-11 (mFI-11) frailty tool, reflective of patient comorbidities, the Fried phenotype weighs functional patient variables. This study examined using the Fried phenotype in predicting postoperative outcomes in craniotomy for patients with tumor.

Methods: This retrospective cohort analysis included patients with Current Procedural Terminology codes for supratentorial/infratentorial tumor resections and preoperative frailty scores. Chart review collected the remaining variables for the primary outcome, length of stay (LOS), and secondary outcomes, discharge disposition and postoperative complications. Basic descriptive statistics summarized patient demographics, clinical parameters, and postoperative outcomes. χ 2 tests, t -tests, and ANOVA examined associations and mean differences. Logistic and Poisson regressions explored predictor-outcome relationships.

Results: Over 7 years, these 153 patients underwent Fried assessments. The Fried score was biased toward females being more frail (nonfrail 38.0% female, prefrail 50.0% female and frail 65.6% female, P = .027) but not by age, body mass index, or tumor type. The mFI-11 was biased by age (nonfrail 67.8 years vs frail 72.3 years, P < .001) and body mass index (nonfrail 27.5 vs frail 30.8, P < .001) but not sex or tumor type. The Fried score was significantly correlated with increased LOS's (odds ratio [OR] = 5.92, 95% CI = 1.66-21.13, P < .001) but the mFI-11 was not (OR = 0.82, 95% CI = 0.35-1.93, P = .64). The Fried phenotype was significantly correlated with discharge disposition location ( P = .016), whereas the mFI-11 was not ( P = .749). The Fried score was significantly correlated with postoperative complications (OR = 1.36, 95% CI = 1.08-1.71, P = .01), whereas the mFI-11 was not (OR = 1.10, 95% CI = 0.86-1.41, P = .44).

Conclusion: The Fried phenotype more accurately correlates with postoperative outcomes including LOS, discharge disposition location, and complications than does the mFI-11 score. These findings can be used to guide preoperative planning, inform consent, and potentially identify patients who may benefit from functional optimization in the preoperative period to improve postoperative outcomes.

Background and objectives: Emergency department (ED) utilization and readmission rates after spine surgery are common quality of care measures. Limited data exist on the evaluation of quality indicators after full-endoscopic spine surgery (FESS). The objective of this study was to detect rates, causes, and risk factors for unplanned postoperative clinic utilization after FESS.

Methods: This retrospective multicenter analysis assessed ED utilization and clinic readmission rates after FESS performed between 01/2014 and 04/2023 for degenerative spinal pathologies. Outcome measures were ED utilizations, hospital readmissions, and revision surgeries within 90 days postsurgery.

Results: Our cohort includes 821 patients averaging 59 years of age, who underwent FESS. Most procedures targeted the lumbar or sacral spine (85.75%) while a small fraction involved the cervical spine (10.11%). The most common procedures were lumbar unilateral laminotomies for bilateral decompression (40.56%) and lumbar transforaminal discectomies (25.58%). Within 90 days postsurgery, 8.0% of patients revisited the ED for surgical complications. A total of 2.2% of patients were readmitted to a hospital of which 1.9% required revision surgery. Primary reasons for ED visits and clinic readmissions were postoperative pain exacerbation, transient neurogenic bladder dysfunction, and recurrent disk herniations. Our multivariate regression analysis revealed that female patients had a significantly higher likelihood of using the ED ( P = .046; odds ratio: 1.77, 95% CI 1.01-3.1 5.69% vs 10.33%). Factors such as age, American Society of Anesthesiologists class, body mass index, comorbidities, and spanned spinal levels did not significantly predict postoperative ED utilization.

Conclusion: This analysis demonstrates the safety of FESS, as evidenced by acceptable rates of ED utilization, clinic readmission, and revision surgery. Future studies are needed to further elucidate the safety profile of FESS in comparison with traditional spinal procedures.

Background and objectives: Despite growing interest in how patient frailty affects outcomes (eg, in neuro-oncology), its role after transsphenoidal surgery for Cushing disease (CD) remains unclear. We evaluated the effect of frailty on CD outcomes using the Registry of Adenomas of the Pituitary and Related Disorders (RAPID) data set from a collaboration of US academic pituitary centers.

Methods: Data on consecutive surgically treated patients with CD (2011-2023) were compiled using the 11-factor modified frailty index. Patients were classified as fit (score, 0-1), managing well (score, 2-3), and mildly frail (score, 4-5). Univariable and multivariable analyses were conducted to examine outcomes.

Results: Data were analyzed for 318 patients (193 fit, 113 managing well, 12 mildly frail). Compared with fit and managing well patients, mildly frail patients were older (mean ± SD 39.7 ± 14.2 and 48.9 ± 12.2 vs 49.4 ± 8.9 years, P < .001) but did not different by sex, race, and other factors. They had significantly longer hospitalizations (3.7 ± 2.0 and 4.5 ± 3.5 vs 5.3 ± 3.5 days, P = .02), even after multivariable analysis (β = 1.01, P = .007) adjusted for known predictors of prolonged hospitalization (age, Knosp grade, surgeon experience, American Society of Anesthesiologists grade, complications, frailty). Patients with mild frailty were more commonly discharged to skilled nursing facilities (0.5% [1/192] and 4.5% [5/112] vs 25% [3/12], P < .001). Most patients underwent gross total resection (84.4% [163/193] and 79.6% [90/113] vs 83% [10/12]). No difference in overall complications was observed; however, venous thromboembolism was more common in mildly frail (8%, 1/12) than in fit (0.5%, 1/193) and managing well (2.7%, 3/113) patients ( P = .04). No difference was found in 90-day readmission rates.

Conclusion: These results demonstrate that mild frailty predicts CD surgical outcomes and may inform preoperative risk stratification. Frailty-influenced outcomes other than age and tumor characteristics may be useful for prognostication. Future studies can help identify strategies to reduce disease burden for frail patients with hypercortisolemia.

Background and objectives: Vague symptoms and a lack of pathognomonic features hinder the timely diagnosis of pediatric brain tumors (PBTs). However, patients in low- and middle-income countries (LMICs) must also bear the brunt of a multitude of additional factors contributing to diagnostic delays and subsequently affecting survival. Therefore, this study aims to assess these factors and quantify the durations associated with diagnostic delays for PBTs in LMICs.

Methods: A systematic review of extant literature regarding children from LMICs diagnosed with brain tumors was conducted. Articles published before June 2023 were identified using PubMed, Google Scholar, Scopus, Embase, Cumulative Index to Nursing and Allied Health Literature, and Web of Science. A meta-analysis was conducted using a random-effects model through R Statistical Software. Quality was assessed using the Newcastle Ottawa Scale.

Results: A total of 40 studies including 2483 patients with PBT from 21 LMICs were identified. Overall, nonspecific symptoms (62.5%) and socioeconomic status (45.0%) were the most frequently reported factors contributing to diagnostic delays. Potential sources of patient-associated delay included lack of parental awareness (45.0%) and financial constraints (42.5%). Factors contributing to health care system delays included misdiagnoses (42.5%) and improper referrals (32.5%). A pooled mean prediagnostic symptomatic interval was calculated to be 230.77 days (127.58-333.96), the patient-associated delay was 146.02 days (16.47-275.57), and the health care system delay was 225.05 days (-64.79 to 514.89).

Conclusion: A multitude of factors contribute to diagnostic delays in LMICs. The disproportionate effect of these factors is demonstrated by the long interval between symptom onset and the definitive diagnosis of PBTs in LMICs, when compared with high-income countries. While evidence-based policy recommendations may improve the pace of diagnosis, policy makers will need to be cognizant of the unique challenges patients and health care systems face in LMICs.

Background and objectives: Consensus guidelines do not exist to guide the role of stereotactic radiosurgery (SRS) in the management of patients with Spetzler-Martin Grade III-V arteriovenous malformations (AVMs). We sought to establish SRS practice guidelines for Grade III-V AVMs based on a critical systematic review of the published literature.

Methods: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses-compliant search of Medline, Embase, and Scopus, 1986 to 2023, for publications reporting post-SRS outcomes in ≥10 Grade III-V AVMs with the median follow-up ≥24 months was performed. Primary end points were AVM obliteration and post-SRS hemorrhage. Secondary end points included dosimetric variables, Spetzler-Martin parameters, and neurological outcome.

Results: : In total, 2463 abstracts were screened, 196 manuscripts were reviewed, and 9 met the strict inclusion criteria. The overall sample of 1634 AVMs consisted of 1431 Grade III (88%), 186 Grade IV (11%), and 11 Grade V lesions (1%). Total median post-SRS follow-up was 53 months for Grade III and 43 months for Grade IV-V AVMs (ranges, 2-290; 12-262). For Grade III AVMs, the crude obliteration rate was 72%, and among Grade IV-V lesions, the crude obliteration rate was 46%. Post-SRS hemorrhage was observed in 7% of Grade III compared with 17% of Grade IV-V lesions. Major permanent deficits or death from hemorrhage or radiation-induced complications occurred in 86 Grade III (6%) and 22 Grade IV-V AVMs (12%).

Conclusion: Most patients with Spetzler-Martin Grade III AVMs have favorable SRS treatment outcomes; however, the obliteration rate for Grade IV-V AVMs is less than 50%. The available studies are heterogenous and lack nuanced, long-term, grade-specific outcomes.

Background and objectives: Intraventricular drug delivery enables the delivery of therapeutics to the central nervous system, while minimizing peripheral drug exposure and toxicity. However, currently used delivery devices cannot be controlled externally to adjust their output during delivery. Here, the authors investigated the performance of a conceptually novel device designed to metronomically deliver a drug to the cerebrospinal fluid in a manner that can be adjusted wirelessly from an external controller.

Methods: Six sheep were subcutaneously implanted in the shoulder region with a drug delivery pump and a catheter connecting to the brain ventricles. Three groups of 2 sheep received low, medium, and high dosages of metronomic methotrexate (MTX) over several weeks, while kept mobile outdoors in a pen. MTX dosages were adjusted from a wireless external controller, and intraventricular MTX concentrations were measured in regular intervals with an Ommaya reservoir.

Results: Over the course of this 12-week study, sheep showed no signs of toxicity. MTX measurements in the cerebrospinal fluid confirmed that the pump remained responsive to external control and able to deliver drug in an adjustable, metronomic fashion.

Conclusion: This implantable pump system enables external control of drug output, so that the resulting intraventricular drug concentrations can continuously be maintained within the therapeutic range.

Background and objectives: Significant evidence has indicated that the reporting quality of novel predictive models is poor because of confounding by small data sets, inappropriate statistical analyses, and a lack of validation and reproducibility. The Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) statement was developed to increase the generalizability of predictive models. This study evaluated the quality of predictive models reported in neurosurgical literature through their compliance with the TRIPOD guidelines.

Methods: Articles reporting prediction models published in the top 5 neurosurgery journals by SCImago Journal Rank-2 (Neurosurgery, Journal of Neurosurgery, Journal of Neurosurgery: Spine, Journal of NeuroInterventional Surgery, and Journal of Neurology, Neurosurgery, and Psychiatry) between January 1st, 2018, and January 1st, 2023, were identified through a PubMed search strategy that combined terms related to machine learning and prediction modeling. These original research articles were analyzed against the TRIPOD criteria.

Results: A total of 110 articles were assessed with the TRIPOD checklist. The median compliance was 57.4% (IQR: 50.0%-66.7%). Models using machine learning-based models exhibited lower compliance on average compared with conventional learning-based models (57.1%, 50.0%-66.7% vs 68.1%, 50.2%-68.1%, P = .472). Among the TRIPOD criteria, the lowest compliance was observed in blinding the assessment of predictors and outcomes (n = 7, 12.7% and n = 10, 16.9%, respectively), including an informative title (n = 17, 15.6%) and reporting model performance measures such as confidence intervals (n = 27, 24.8%). Few studies provided sufficient information to allow for the external validation of results (n = 26, 25.7%).

Conclusion: Published predictive models in neurosurgery commonly fall short of meeting the established guidelines laid out by TRIPOD for optimal development, validation, and reporting. This lack of compliance may represent the minor extent to which these models have been subjected to external validation or adopted into routine clinical practice in neurosurgery.

Background and objectives: Academic productivity is viewed as a critical objective factor for a neurosurgery residency applicant. There has been a consistent rise in academic productivity over the last decade, but a lack of consistent data on the utility of this in helping neurosurgery residency programs identify which applicants will enter academic neurosurgery. This cross-sectional study evaluates the predictiveness of academic productivity before and during residency on career choice, both independent and dependent of training environment.

Methods: The 116 accredited neurosurgery residency programs were split into 4 quartile groups based on their 2022 Doximity rankings. Six neurosurgery residency programs were randomly selected from each quartile. Publicly available information including number and type (before or during residency) of publication and type of employment (academic vs nonacademic) was collected on neurosurgeons who matriculated into residency in the year 2000 or later. Multivariable logistic regression was used to explore the associations among neurosurgeon and program characteristics, and an academic career.

Results: A total of 557 neurosurgeons were identified. Group 1 (n = 194) had the highest median publications during residency total (12) and first author (5), as well as the highest percentage of neurosurgeons who attended a top 20 medical school (38.7%), hold a higher educational degree (20.6%), and pursued an academic career (72.2%). Neither attending a top 20 medical school, holding a higher educational degree, nor publications were significant multivariable predictors of an academic career. Being in group 1 was the only significant predictor of entering an academic career across analyses.

Conclusion: Only residency group ranking, not academic productivity, predicted a future academic career. For residency programs evaluating applicants as future academic neurosurgeons, this suggests that program environment is more predictive than traditionally valued characteristics such as research productivity. Additional work is needed to elucidate characteristics or practices by which future academic neurosurgeons can be identified.