Timing and Morbidity of Intracranial Meningioma Resection Complications.

BACKGROUND: Intracranial meningioma resection is associated with multiple acute postoperative complications, including cerebrovascular accidents, surgical site infections, and pneumonia. There is a paucity of research on the postoperative timeframe of these complications. Therefore, our objective is to characterize intracranial meningioma resection complications' time courses. METHODS: The National Surgical Quality Improvement Project registry was queried for intracranial meningioma resection cases using CPT codes 61512 and 61519 from years 2016 to 2021. Baseline patient characteristics and 30-day complication frequency were calculated. The mean, median, and interquartile range of postoperative days to occurrence for 17 complications were calculated. Percent incidence predischarge was recorded. Time-to-occurrence curves were created. Rates of 30-day mortality and increased length-of-stay were compared between patients with and without each complication using a χ2 test. A covariance matrix showing associations between 11 complications using the Pearson method was made. Significance was set at P < 0.05. RESULTS: Ten thousand eight hundred ninety cases were analyzed. The most frequent complications' median and interquartile range of postoperative days to occurrence and percentage occurring predischarge were bleeding requiring transfusion (0.0, 0.0-0.0, 99.9%), cerebrovascular accident/stroke with neurological deficit (2.0, 1.0-6.0, 83.8%), unplanned intubation (4.0, 1.0-8.0, 75.1%), on a ventilator for >48 hours (3.0; 2.0-5.5; 88.1%), deep vein thrombosis/thrombophlebitis (12.5, 5.2-19.7, 41.3%), urinary tract infection (13.0, 7.0-20.0, 44.2%), pneumonia (8.0, 4.0-16.0, 60.5%), and pulmonary embolism (14.0, 6.0-20.0, 29.1%). Most complications were associated with increased mortality and length-of-stay. CONCLUSIONS: Postoperative meningioma resection complications have varying morbidity and timeframes. Surgeons should be aware of complication timing to better manage postoperative care.

Innovations in Spine Surgery: A Narrative Review of Current Integrative Technologies.

Neurosurgical technologies have become increasingly more adaptive, featuring real-time and patient-specific guidance in preoperative, intraoperative, and postoperative settings. This review offers insight into how these integrative innovations compare with conventional approaches in spine surgery, focusing on machine learning (ML), artificial intelligence, augmented reality and virtual reality, and spinal navigation systems. Data on technology applications, diagnostic and procedural accuracy, intraoperative times, radiation exposures, postoperative outcomes, and costs were extracted and compared with conventional methods to assess their advantages and limitations. Preoperatively, augmented reality and virtual reality have applications in surgical training and planning that are more immersive, case specific, and risk-free and have been shown to enhance accuracy and reduce complications. ML algorithms have demonstrated high accuracy in predicting surgical candidacy (up to 92.1%) and tailoring personalized treatments based on patient-specific variables. Intraoperatively, advantages include more accurate pedicle screw insertion (96%-99% with ML), enhanced visualization, reduced radiation exposure (49 µSv with O-arm navigation vs. 556 µSv with fluoroscopy), increased efficiency, and potential for fewer intraoperative complications compared with conventional approaches. Postoperatively, certain ML and artificial intelligence models have outperformed conventional methods in predicting all postoperative complications of >6000 patients as well as predicting variables contributing to in-hospital and 90-day mortality. However, applying these technologies comes with limitations, such as longer operative times (up to 35.6% longer) with navigation, dependency on datasets, costs, accessibility, steep learning curve, and inherent software malfunctions. As these technologies advance, continuing to assess their efficacy and limitations will be crucial to their successful integration within spine surgery.

High-Value Epilepsy Care in the United States: Predictors of Increased Costs and Complications from the National Inpatient Sample Database 2016-2019.

BACKGROUND: For patients with medically refractory epilepsy, newer minimally invasive techniques such as laser interstitial thermal therapy (LITT) have been developed in recent years. This study aims to characterize trends in the utilization of surgical resection versus LITT to treat medically refractory epilepsy, characterize complications, and understand the cost of this innovative technique to the public. METHODS: The National Inpatient Sample database was queried from 2016 to 2019 for all patients admitted with a diagnosis of medically refractory epilepsy. Patient demographics, hospital length of stay, complications, and costs were tabulated for all patients who underwent LITT or surgical resection within these cohorts. RESULTS: A total of 6019 patients were included, 223 underwent LITT procedures, while 5796 underwent resection. Significant predictors of increased patient charges for both cohorts included diabetes (odds ratio: 1.7, confidence interval [CI]: 1.44-2.19), infection (odds ratio: 5.12, CI 2.73-9.58), and hemorrhage (odds ratio: 2.95, CI 2.04-4.12). Procedures performed at nonteaching hospitals had 1.54 greater odds (CI 1.02-2.33) of resulting in a complication compared to teaching hospitals. Insurance status did significantly differ (P = 0.001) between those receiving LITT (23.3% Medicare; 25.6% Medicaid; 44.4% private insurance; 6.7 Other) and those undergoing resection (35.3% Medicare; 22.5% Medicaid; 34.7% private Insurance; 7.5% other). When adjusting for patient demographics, LITT patients had shorter length of stay (2.3 vs. 8.9 days, P < 0.001), lower complication rate (1.9% vs. 3.1%, P = 0.385), and lower mean hospital ($139,412.79 vs. $233,120.99, P < 0.001) and patient ($55,394.34 vs. $37,756.66, P < 0.001) costs. CONCLUSIONS: The present study highlights LITT's advantages through its association with lower costs and shorter length of stay. The present study also highlights the associated predictors of LITT versus resection, such as that most LITT cases happen at academic centers for patients with private insurance. As the adoption of LITT continues, more data will become available to further understand these issues.

Rapid evolution of mutation rate and spectrum in response to environmental and population-genetic challenges.

Ecological and demographic factors can significantly shape the evolution of microbial populations both directly and indirectly, as when changes in the effective population size affect the efficiency of natural selection on the mutation rate. However, it remains unclear how rapidly the mutation-rate responds evolutionarily to the entanglement of ecological and population-genetic factors over time. Here, we directly assess the mutation rate and spectrum of Escherichia coli clones isolated from populations evolving in response to 1000 days of different transfer volumes and resource-replenishment intervals. The evolution of mutation rates proceeded rapidly in response to demographic and/or environmental changes, with substantial bidirectional shifts observed as early as 59 generations. These results highlight the remarkable rapidity by which mutation rates are shaped in asexual lineages in response to environmental and population-genetic forces, and are broadly consistent with the drift-barrier hypothesis for the evolution of mutation rates, while also highlighting situations in which mutator genotypes may be promoted by positive selection.