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Neuroimaging studies have consistently demonstrated concurrent activation of the human precuneus and temporal pole (TP), both during resting-state conditions and various higher-order cognitive functions. However, the precise underlying structural connectivity between these brain regions remains uncertain despite significant advancements in neuroscience research. In this study, we investigated the connectivity of the precuneus and TP by employing parcellation-based fiber micro-dissections in human brains and fiber tractography techniques in a sample of 1065 human subjects and a sample of 41 rhesus macaques. Our results demonstrate the connectivity between the posterior precuneus area POS2 and the areas 35, 36, and TG of the TP via the fifth subcomponent of the cingulum (CB-V) also known as parahippocampal cingulum. This finding contributes to our understanding of the connections within the posteromedial cortices, facilitating a more comprehensive integration of anatomy and function in both normal and pathological brain processes. PRACTITIONER POINTS: Our investigation delves into the intricate architecture and connectivity patterns of subregions within the precuneus and temporal pole, filling a crucial gap in our knowledge. We revealed a direct axonal connection between the posterior precuneus (POS2) and specific areas (35, 35, and TG) of the temporal pole. The direct connections are part of the CB-V pathway and exhibit a significant association with the cingulum, SRF, forceps major, and ILF. Population-based human tractography and rhesus macaque fiber tractography showed consistent results that support micro-dissection outcomes.
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Imagen de Difusión Tensora , Macaca mulatta , Vías Nerviosas , Lóbulo Parietal , Lóbulo Temporal , Humanos , Lóbulo Temporal/diagnóstico por imagen , Lóbulo Temporal/fisiología , Lóbulo Temporal/anatomía & histología , Lóbulo Parietal/diagnóstico por imagen , Lóbulo Parietal/fisiología , Lóbulo Parietal/anatomía & histología , Animales , Imagen de Difusión Tensora/métodos , Masculino , Adulto , Femenino , Vías Nerviosas/diagnóstico por imagen , Vías Nerviosas/anatomía & histología , Vías Nerviosas/fisiología , Adulto Joven , Axones/fisiología , Conectoma , Sustancia Blanca/diagnóstico por imagen , Sustancia Blanca/anatomía & histología , Sustancia Blanca/fisiología , Giro del Cíngulo/diagnóstico por imagen , Giro del Cíngulo/fisiología , Giro del Cíngulo/anatomía & histologíaRESUMEN
â¢Intracranial hemorrhage accounts for two out of every three major intracranial hemorrhages.â¢Systemic anticoagulation is routinely prescribed for prevention of cerebrovascular accidents.â¢The FDA approved Andexanet alfa to treat life-threatening bleeding.â¢Andexanet alfa relationship to outcomes requires further investigation.
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OBJECTIVE: Idiopathic normal pressure hydrocephalus (iNPH) predominantly occurs in older patients, and ventriculoperitoneal shunt (VPS) placement is the definitive surgical treatment. VPS surgery carries significant postoperative complication rates, which may tip the risk/benefit balance of this treatment option for frail, or higher-risk, patients. In this study, the authors investigated the use of frailty scoring for preoperative risk stratification for adverse event prediction in iNPH patients who underwent elective VPS placement. METHODS: The Nationwide Readmissions Database (NRD) was queried from 2018 to 2019 for iNPH patients aged ≥ 60 years who underwent VPS surgery. Risk Analysis Index (RAI) and modified 5-item Frailty Index (mFI-5) scores were calculated and RAI cross-tabulation was used to analyze trends in frailty scores by the following binary outcome measures: overall complications, nonhome discharge (NHD), extended length of stay (eLOS) (> 75th percentile), and mortality. Area under the receiver operating characteristic curve analysis was performed to assess the discriminatory accuracy of RAI and mFI-5 for primary outcomes. RESULTS: A total of 9319 iNPH patients underwent VPS surgery, and there were 685 readmissions (7.4%), 593 perioperative complications (6.4%), and 94 deaths (1.0%). Increasing RAI score was significantly associated with increasing rates of postoperative complications: RAI scores 11-15, 5.4% (n = 80); 16-20, 5.6% (n = 291); 21-25, 7.6% (n = 166); and ≥ 26, 11.6% (n = 56). The discriminatory accuracy of RAI was statistically superior (DeLong test, p < 0.05) to mFI-5 for the primary endpoints of mortality, NHD, and eLOS. All RAI C-statistics were > 0.60 for mortality within 30 days (C-statistic = 0.69, 95% CI 0.68-0.70). CONCLUSIONS: In a nationwide database analysis, increasing frailty, as measured by RAI, was associated with NHD, 30-day mortality, unplanned readmission, eLOS, and postoperative complications. Although the RAI outperformed the mFI-5, it is essential to account for the potentially reversible clinical issues related to the underlying disease process, as these factors may inflate frailty scores, assign undue risk, and diminish their utility. This knowledge may enhance provider understanding of the impact of frailty on postoperative outcomes for patients with iNPH, while highlighting the potential constraints associated with frailty assessment tools.
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Fragilidad , Hidrocéfalo Normotenso , Humanos , Anciano , Fragilidad/complicaciones , Fragilidad/cirugía , Derivación Ventriculoperitoneal/efectos adversos , Hidrocéfalo Normotenso/cirugía , Hidrocéfalo Normotenso/complicaciones , Medición de Riesgo , Factores de Riesgo , Complicaciones Posoperatorias/etiología , Estudios RetrospectivosRESUMEN
Objective: In recent years, frailty has been reported to be an important predictive factor associated with worse outcomes in neurosurgical patients. The purpose of the present systematic review was to analyze the impact of frailty on outcomes of chronic subdural hematoma (cSDH) patients. Methods: We performed a systematic review of literature using the PubMed, Cochrane library, Wiley online library, and Web of Science databases following PRISMA guidelines of studies evaluating the effect of frailty on outcomes of cSDH published until January 31, 2023. Results: A comprehensive literature search of databases yielded a total of 471 studies. Six studies with 4085 patients were included in our final qualitative systematic review. We found that frailty was associated with inferior outcomes (including mortality, complications, recurrence, and discharge disposition) in cSDH patients. Despite varying frailty scales/indices used across studies, negative outcomes occurred more frequently in patients that were frail than those who were not. Conclusions: While the small number of available studies, and heterogenous methodology and reporting parameters precluded us from conducting a pooled analysis, the results of the present systematic review identify frailty as a robust predictor of worse outcomes in cSDH patients. Future studies with a larger sample size and consistent frailty scales/indices are warranted to strengthen the available evidence. The results of this work suggest a strong case for using frailty as a pre-operative risk stratification measure in cSDH patients.
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Introduction The aim of this study was to evaluate the discriminative accuracy of the preoperative Risk Analysis Index (RAI) frailty score for prediction of mortality or transition to hospice within 30 days of brain tumor resection (BTR) in a large multicenter, international, prospective database. Methods Records of BTR patients were extracted from the American College of Surgeons National Surgical Quality Improvement Program (2012-2020) database. The relationship between the RAI frailty scale and the primary end point (mortality or discharge to hospice within 30 days of surgery) was assessed using linear-by-linear proportional trend tests, logistic regression, and receiver operating characteristic (ROC) curve analysis (area under the curve as C-statistic). Results Patients with BTR ( N = 31,776) were stratified by RAI frailty tier: 16,800 robust (52.8%), 7,646 normal (24.1%), 6,593 frail (20.7%), and 737 severely frail (2.3%). The mortality/hospice rate was 2.5% ( n = 803) and was positively associated with increasing RAI tier: robust (0.9%), normal (3.3%), frail (4.6%), and severely frail (14.2%) ( p < 0.001). Isolated RAI was a robust discriminatory of primary end point in ROC curve analysis in the overall BTR cohort (C-statistic: 0.74; 95% confidence interval [CI]: 0.72-0.76) as well as the malignant (C-statistic: 0.74; 95% CI: 0. 67-0.80) and benign (C-statistic: 0.71; 95% CI: 0.70-0.73) tumor subsets (all p < 0.001). RAI score had statistically significantly better performance compared with the 5-factor modified frailty index and chronological age (both p < 0.0001). Conclusions RAI frailty score predicts 30-day mortality after BTR and may be translated to the bedside with a user-friendly calculator ( https://nsgyfrailtyoutcomeslab.shinyapps.io/braintumormortalityRAIcalc/ ). The findings hope to augment the informed consent and surgical decision-making process in this patient population and provide an example for future study designs.
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BACKGROUND: Investigate the ability of frailty status to predict post-surgical outcomes in patients with cutaneous malignancies of the scalp and neck undergoing flap reconstruction. METHODS: National Surgical Quality Improvement Program database was used to isolate patients with cutaneous malignancies of the scalp and neck who underwent surgical resection between 2015 to 2019. Univariate and multivariate analyses were performed to determine if frailty score correlated with negative post-operative outcomes. Receiver operating characteristic (ROC) curves allowed testing of the discriminative performance of age versus frailty. RESULTS: This study demonstrated an independent correlation between frailty and major complications as well as non-home discharge. In ROC curve analysis, frailty demonstrated superior discrimination compared to age for predicting major complications. CONCLUSION: Our study demonstrated an association between increasing frailty and major complications as well as the likelihood of a non-home discharge. When compared to age, frailty was also shown to be a better predictor of major complications.
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Fragilidad , Cuello , Cuero Cabelludo , Neoplasias Cutáneas , Humanos , Fragilidad/complicaciones , Complicaciones Posoperatorias/epidemiología , Estudios Retrospectivos , Factores de Riesgo , Cuero Cabelludo/cirugía , Neoplasias Cutáneas/cirugía , Resultado del Tratamiento , Cuello/cirugíaRESUMEN
BACKGROUND AND OBJECTIVES: The Hospital Frailty Risk Score (HFRS) is an International Classification of Disease 10th Revision-based scale that was originally designed for, and validated in, the assessment of patients 75 years or older presenting in an acute care setting. This study highlights central tenets inherent to the concept of frailty; questions the logic behind, and utility of, HFRS' recent implementation in the neurosurgical literature; and discusses why there is no useful role for HFRS as a frailty-based neurosurgical risk assessment (FBNRA) tool. METHODS: The authors performed a systematic review of the literature per Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, including all cranial and spinal studies that used HFRS as their primary frailty tool. Seventeen (N = 17) studies used HFRS to assess frailty's impact on neurosurgical outcomes. Thirteen total journals, 10 of which were neurosurgical journals, including the highest impact factor journals, published the 17 papers. RESULTS: Increasing HFRS score was associated with adverse outcomes, including prolonged length of stay (11 of 17 studies), nonroutine discharge (10 of 17 studies), and increased hospital costs (9 of 17 studies). Four different HFRS studies, of the 17, predicted one of the following 4 adverse outcomes: worse quality of life, worse functional outcomes, reoperation, or in-hospital mortality. CONCLUSION: Despite its rapid acceptance and widespread proliferation through the leading neurosurgical journals, HFRS lacks any conceptual relationship to the frailty syndrome or FBNRA for individual patients. HFRS measures acute conditions using International Classification of Disease 10th Revision codes and awards "frailty" points for symptoms and examination findings unrelated to the impaired baseline physiological reserve inherent to the very definition of frailty. HFRS lacks clinical utility as it cannot be deployed point-of-care at the bedside to risk stratify patients. HFRS has never been validated in any patient population younger than 75 years or in any nonacute care setting. We recommend HFRS be discontinued as an individual FBNRA tool.
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Fragilidad , Neurocirugia , Humanos , Anciano , Fragilidad/diagnóstico , Anciano Frágil , Calidad de Vida , Factores de Riesgo , Hospitales , Estudios RetrospectivosRESUMEN
OBJECTIVE: This study was conducted to systematically analyze the data on the clinical features, surgical treatment, and outcomes of spinal schwannomas. METHODS: We conducted a systematic review and meta-analysis under the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A search of bibliographic databases from January 1, 2001, to May 31, 2021, yielded 4489 studies. Twenty-six articles were included in our final qualitative systematic review and quantitative meta-analysis. RESULTS: Analysis of 2542 adult patients' data from 26 included studies showed that 53.5% were male, and the mean age ranged from 35.8 to 57.1 years. The most common tumor location was the cervical spine (34.2%), followed by the thoracic spine (26.2%) and the lumbar spine (18.5%). Symptom severity was the most common indicator for surgical treatment, with the most common symptoms being segmental back pain, sensory/motor deficits, and urinary dysfunction. Among all patients analyzed, 93.8% were treated with gross total resection, which was associated with better prognosis and less chance of recurrence than subtotal resection. The posterior approach was the most common (87.4% of patients). The average operative time was 4.53 hours (95% confidence interval [CI], 3.18-6.48); the average intraoperative blood loss was 451.88 mL (95% CI, 169.60-1203.95). The pooled follow-up duration was 40.6 months (95% CI, 31.04-53.07). The schwannoma recurrence rate was 5.3%. Complications were particularly low and included cerebrospinal fluid leakage, wound infection, and the sensory-motor deficits. Most of the patients experienced complete recovery or significant improvement of preoperative neurological deficits and pain symptoms. CONCLUSIONS: Our analysis suggests that segmental back pain, sensory/motor deficits, and urinary dysfunction are the most common symptoms of spinal schwannomas. Surgical resection is the treatment of choice with overall good reported outcomes and particularly low complication rates. gross total resection offers the best prognosis with the slightest chance of tumor recurrence and minimal risk of complications.
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Recurrencia Local de Neoplasia , Neurilemoma , Adulto , Humanos , Masculino , Persona de Mediana Edad , Femenino , Resultado del Tratamiento , Recurrencia Local de Neoplasia/epidemiología , Recurrencia Local de Neoplasia/cirugía , Recurrencia Local de Neoplasia/etiología , Neurilemoma/cirugía , Procedimientos Neuroquirúrgicos/efectos adversos , Dolor de Espalda/etiología , Dolor de Espalda/cirugía , Estudios RetrospectivosRESUMEN
BACKGROUND CONTEXT: Preoperative risk stratification for patients considering cervical decompression and fusion (CDF) relies on established independent risk factors to predict the probability of complications and outcomes in order to help guide pre and perioperative decision-making. PURPOSE: This study aims to determine frailty's impact on failure to rescue (FTR), or when a mortality occurs within 30 days following a major complication. STUDY DESIGN/SETTING: Cross-sectional retrospective analysis of retrospective and nationally-representative data. PATIENT SAMPLE: The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all CDF cases from 2011-2020. OUTCOME MEASURES: CDF patients who experienced a major complication were identified and FTR was calculated as death or hospice disposition within 30 days of a major complication. METHODS: Frailty was measured by the Risk Analysis Index-Revised (RAI-Rev). Baseline patient demographics and characteristics were compared for all FTR patients. Significant factors were assessed by univariate and multivariable regression for the development of a frailty-driven predictive model for FTR. The discriminative ability of the predictive model was assessed using a receiving operating characteristic (ROC) curve analysis. RESULTS: There were 3632 CDF patients who suffered a major complication and 7.6% (277 patients) subsequently expired or dispositioned to hospice, the definition of FTR. Independent predictors of FTR were nonelective surgery, frailty, preoperative intubation, thrombosis or embolic complication, unplanned intubation, on ventilator for >48 hours, cardiac arrest, and septic shock. Frailty, and a combination of preoperative and postoperative risk factors in a predictive model for FTR, achieved outstanding discriminatory accuracy (C-statistic = 0.901, CI: 0.883-0.919). CONCLUSION: Preoperative and postoperative risk factors, combined with frailty, yield a highly accurate predictive model for FTR in CDF patients. Our model may guide surgical management and/or prognostication regarding the likelihood of FTR after a major complication postoperatively with CDF patients. Future studies may determine the predictive ability of this model in other neurosurgical patient populations.
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Fragilidad , Humanos , Fragilidad/epidemiología , Fragilidad/complicaciones , Estudios Retrospectivos , Mejoramiento de la Calidad , Estudios Transversales , Complicaciones Posoperatorias/epidemiología , Complicaciones Posoperatorias/etiología , Medición de Riesgo , Factores de Riesgo , Descompresión/efectos adversosRESUMEN
The model of the four streams of the prefrontal cortex proposes 4 streams of information: motor through Brodmann area (BA) 8, emotion through BA 9, memory through BA 10, and emotional-related sensory through BA 11. Although there is a surge of functional data supporting these 4 streams within the PFC, the structural connectivity underlying these neural networks has not been fully clarified. Here we perform population-based high-definition tractography using an averaged template generated from data of 1,065 human healthy subjects acquired from the Human Connectome Project to further elucidate the structural organization of these regions. We report the structural connectivity of BA 8 with BA 6, BA 9 with the insula, BA 10 with the hippocampus, BA 11 with the temporal pole, and BA 11 with the amygdala. The 4 streams of the prefrontal cortex are subserved by a structural neural network encompassing fibers of the anterior part of the superior longitudinal fasciculus-I and II, corona radiata, cingulum, frontal aslant tract, and uncinate fasciculus. The identified neural network of the four streams of the PFC will allow the comprehensive analysis of these networks in normal and pathological brain function.
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Failure to rescue (FTR) is a standardized patient safety indicator (PSI-04) developed by the Agency for Healthcare Research and Quality (AHRQ) to assess the ability of a healthcare team to prevent mortality following a major complication. However, FTR rates vary and are impacted by non-modifiable individual patient characteristics such as baseline frailty. This raises concerns regarding the validity of FTR as an objective quality metric, as not all patients have the same baseline frailty level, or physiological reserve, to recover from major complications. Literature from other surgical specialties has identified flaws in FTR and called for risk-adjusted metrics. Currently, knowledge of factors influencing FTR and its subsequent implementation in neurosurgical patients are limited. The present review assesses trends in FTR utilization to assess how FTR performs as an objective neurosurgery quality metric. This review then proposes how FTR may be best modified to optimize use in neurosurgical patients. A PubMed search was performed to identify articles published until August 9, 2023. Studies that reported FTR as an outcome in patients undergoing neurosurgical procedures were included. A qualitative assessment was performed using the Newcastle Ottawa Scale (NOS). The initial search revealed 1232 citations. After a title and abstract screen, followed by a full text screen, 12 studies met criteria for inclusion. These articles measured FTR across a total of 764,349 patients undergoing neurosurgical procedures. Five studies analyzed FTR with regard to hospital characteristics, and three studies utilized patient characteristics to predict FTR. All studies were considered high quality based on the NOS. Modifications in criteria to measure FTR are necessary since FTR depends on patient characteristics like frailty. This would allow for the incorporation of risk-adjusted FTR metrics that would aid in clinical decision making in neurosurgical patients.
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Fragilidad , Neurocirugia , Estados Unidos , Humanos , Seguridad del Paciente , Toma de Decisiones Clínicas , Procedimientos NeuroquirúrgicosRESUMEN
INTRODUCTION: The present study sought to evaluate the predictive accuracy of preoperative lab values (PLV) on postoperative metastatic brain tumor resection (MBTR) outcomes using data queried from a large prospective international surgical registry, representing over 700 hospitals in 11 countries. METHODS: Adult metastatic brain tumor patients (N = 5943) were queried from the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database, from 2015 to 2019, using diagnostic and procedural coding. The relationship between preoperative lab values and key indicators of adverse postoperative outcomes following metastatic brain tumor resection were assessed with univariate and multivariate analyses. Adverse postoperative outcomes of interest included: 30-day mortality, Clavien-Dindo Grade IV (CDIV) complications, extended length of stay (eLOS), and discharge to non-home destination (NHD), as well as secondary outcomes: non-Clavien-Dindo Grade IV complications, unplanned reoperation, and unplanned readmission. RESULTS: Independent PLV most strongly associated with 30-day mortality were hypernatremia, increased serum creatinine, and thrombocytopenia. Significant predictors of CDIV complications were hypoalbuminemia and thrombocytopenia. eLOS was associated with hypoalbuminemia, anemia, and hyponatremia. The strongest independent predictors of NHD were anemia, hyperbilirubinemia, and hypoalbuminemia. CONCLUSION: Several pre-operative lab values independently predicted worse outcomes for metastatic brain tumor resection patients. Hypoalbuminemia, thrombocytopenia, and anemia had the strongest association with the study's adverse postoperative outcomes. These baseline lab values may be considered for preoperative risk stratification of metastatic brain tumor patients.
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BACKGROUND: Although unplanned readmission is a postoperative outcome metric associated with significant morbidity and financial burden, precise assessment tools for its prediction have not yet been developed. The Risk Analysis Index (RAI) could potentially be used to help improve the prediction of unplanned readmissions for patients undergoing intracranial tumor resection (ITR). In the present study, we evaluate the predictive accuracy of frailty on 30-day unplanned readmission after ITR using the RAI. METHODS: Data were obtained from the American College of Surgeons National Surgical Quality Improvement Program database. The baseline characteristics, preoperative clinical status, and outcomes were compared between patients with and without unplanned readmission. Frailty was calculated using the RAI. Univariate and multivariate logistic regression analyses were performed to identify independent associations between unplanned readmissions and patient characteristics. RESULTS: The unplanned readmission rate for this cohort (n = 31,776) was 10.8% (n = 3420). Of the 3420 readmitted patients, 958 required unplanned reoperation. Multiple characteristics were significantly different between the 2 groups, including age, body mass index, comorbidities, and RAI groups (P < 0.05). The common causes of unplanned readmission included infection (9.4%), seizures (6%), and pulmonary embolism (4%). The patient characteristics identified as reliable predictors of unplanned readmission included age, body mass index, functional status, diabetes, hypertension, hyponatremia, and the patient's RAI score (P < 0.05). Frail status, hyponatremia, leukocytosis, hypertension, and thrombocytosis were significant predictors of unplanned readmissions. CONCLUSIONS: The RAI is a reliable preoperative frailty index for predicting unplanned readmissions after ITR. Using the RAI could decrease unplanned readmissions by identifying high-risk patients and enabling future implementation of appropriate management guidelines.
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Background: Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. The use of machine learning (ML) has emerged as a key advancement in TBI management. This study aimed to identify ML models with demonstrated effectiveness in predicting TBI outcomes. Methods: We conducted a systematic review in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis statement. In total, 15 articles were identified using the search strategy. Patient demographics, clinical status, ML outcome variables, and predictive characteristics were extracted. A small meta-analysis of mortality prediction was performed, and a meta-analysis of diagnostic accuracy was conducted for ML algorithms used across multiple studies. Results: ML algorithms including support vector machine (SVM), artificial neural networks (ANN), random forest, and Naïve Bayes were compared to logistic regression (LR). Thirteen studies found significant improvement in prognostic capability using ML versus LR. The accuracy of the above algorithms was consistently over 80% when predicting mortality and unfavorable outcome measured by Glasgow Outcome Scale. Receiver operating characteristic curves analyzing the sensitivity of ANN, SVM, decision tree, and LR demonstrated consistent findings across studies. Lower admission Glasgow Coma Scale (GCS), older age, elevated serum acid, and abnormal glucose were associated with increased adverse outcomes and had the most significant impact on ML algorithms. Conclusion: ML algorithms were stronger than traditional regression models in predicting adverse outcomes. Admission GCS, age, and serum metabolites all have strong predictive power when used with ML and should be considered important components of TBI risk stratification.
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OBJECTIVE: To evaluate the impact of frailty, as measured by the 5-factor modified Frailty Index (mFI-5) and the Risk Analysis Index (RAI), on advanced care facility discharge (FD) in patients who underwent lumbar fusion for lumbar degenerative spine disease. METHODS: The American College of Surgeons National Surgical Quality Improvement Program (2012-2020) was queried for adults (≥18 years) undergoing lumbar fusion for lumbar degenerative disease. Descriptive statistics and univariate crosstabulation were used to assess baseline demographics, preoperative comorbidities, and postoperative outcomes. Receiver operating characteristic curve analysis was used to assess the discriminative threshold of the mFI-5 and RAI on FD within this population. RESULTS: The median patient age in this study cohort (N = 7153) was 56 years and FD occurred in 7.3% of cases. Receiver operating characteristic curve analysis demonstrated that both the mFI-5 and the RAI accurately predicted FD (C-statistics: mFI-5: 0.627; RAI: 0.746). DeLong's test found that the RAI had superior discrimination when compared to the mFI-5 (P < 0.0001). CONCLUSIONS: RAI is a reliable predictor of FD in lumbar degenerative disease patients who underwent lumbar interbody fusion and demonstrated superior discrimination compared to the mFI-5. Identification of patients at risk for FD may facilitate more precise risk stratification to enable better preoperative decision-making and help set more realistic expectations of care.
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Fragilidad , Adulto , Humanos , Persona de Mediana Edad , Fragilidad/diagnóstico , Alta del Paciente , Complicaciones Posoperatorias/epidemiología , Medición de Riesgo , Sistema de Registros , Estudios Retrospectivos , Factores de RiesgoRESUMEN
OBJECTIVE: Surgery plays a key role in the management of brain metastases. Stratifying surgical risk and individualizing treatment will help optimize outcomes because there is clinical equipoise between radiation and resection as treatment options for many patients. Here, the authors used a multicenter database to assess the prognostic utility of baseline frailty, calculated with the Risk Analysis Index (RAI), for prediction of mortality within 30 days after surgery for brain metastasis. METHODS: The authors pooled patients who had been surgically treated for brain metastasis from the American College of Surgeons National Surgical Quality Improvement Program database (2012-2020). The authors studied the relationship between preoperative calculated RAI score and 30-day mortality after surgery for brain metastasis by using linear-by-linear proportional trend tests and binary logistic regression. The authors calculated C-statistics (with 95% CIs) in receiver operating characteristic (ROC) curve analysis to assess discriminative accuracy. RESULTS: The authors identified 11,038 patients who underwent brain metastasis resection with a median (interquartile range) age of 62 (54-69) years. The authors categorized patients into four groups on the basis of RAI: robust (RAI 0-20), 8.1% of patients; normal (RAI 21-30), 9.2%; frail (RAI 31-40), 75%; and severely frail (RAI ≥ 41), 8.1%. The authors found a positive correlation between 30-day mortality and frailty. RAI demonstrated superior predictive discrimination for 30-day mortality as compared with the 5-factor modified frailty index (mFI-5) on ROC analysis (C-statistic 0.65, 95% CI 0.65-0.66). CONCLUSIONS: The RAI frailty score accurately estimates 30-day mortality after brain metastasis resection and can be calculated online with an open-access software tool: https://nsgyfrailtyoutcomeslab.shinyapps.io/BrainMetsResection/. Accordingly, RAI can be utilized to measure surgical risk, guide treatment options, and optimize outcomes for patients with brain metastases. RAI has superior discrimination for predicting 30-day mortality compared with mFI-5.
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Neoplasias Encefálicas , Fragilidad , Humanos , Persona de Mediana Edad , Anciano , Fragilidad/cirugía , Factores de Riesgo , Complicaciones Posoperatorias/etiología , Medición de Riesgo , Neoplasias Encefálicas/cirugía , Neoplasias Encefálicas/complicaciones , Estudios RetrospectivosRESUMEN
OBJECTIVE: The objective of this paper was to compare the predictive ability of the recalibrated Risk Analysis Index (RAI-rev) with the 5-item modified frailty index-5 (mFI-5) for postoperative outcomes of anterior cervical discectomy and fusion (ACDF). METHODS: This study was performed using data of adult (age > 18 years) ACDF patients obtained from the National Surgical Quality Improvement Program database during the years 2015-2019. Multivariate modeling and receiver operating characteristic (ROC) curve analysis, including area under the curve/C-statistic calculation with the DeLong test, were performed to evaluate the comparative discriminative ability of the RAI-rev and mFI-5 for 5 postoperative outcomes. RESULTS: Both the RAI-rev and mFI-5 were independent predictors of increased postoperative mortality and morbidity in a cohort of 61,441 ACDF patients. In the ROC analysis for 30-day mortality prediction, C-statistics indicated a significantly better performance of the RAI-rev (C-statistic = 0.855, 95% CI 0.852-0.858) compared with the mFI-5 (C-statistic = 0.684, 95% CI 0.680-0.688) (p < 0.001, DeLong test). The results were similar for postoperative ACDF morbidity, Clavien-Dindo grade IV complications, nonhome discharge, and reoperation, demonstrating the superior discriminative ability of the RAI-rev compared with the mFI-5. CONCLUSIONS: The RAI-rev demonstrates superior discrimination to the mFI-5 in predicting postoperative ACDF mortality and morbidity. To the authors' knowledge, this is the first study to document frailty as an independent risk factor for postoperative mortality after ACDF. The RAI-rev has conceptual fidelity to the frailty phenotype and may be more useful than the mFI-5 in preoperative ACDF risk stratification. Prospective validation of these findings is necessary, but patients with high RAI-rev scores may benefit from knowing that they might have an increased surgical risk for ACDF morbidity and mortality.
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Quantification of preoperative frailty is an important prognostic tool in neurosurgical decision making. Metastatic spine tumor patients undergoing surgery are frail and have unfavorable outcomes that include an increased length of stay, unfavorable discharge disposition, and increased readmission rates. These undesirable outcomes result in higher treatment costs. A heterogeneous mixture of various frailty indexes is available with marked variance in their validation, leading to disparate clinical utility. The lack of a universally accepted definition for frailty, let alone in the method of creation or elements required in the formation of a frailty index, has resulted in a body of frailty literature lacking precision for predicting neurosurgical outcomes. In this review, we examine the role of reported frailty indexes in predicting postoperative outcomes after resection of metastatic spine tumors and aim to assist as a frailty guide for helping clinical decision making.
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Fragilidad , Neoplasias , Humanos , Anciano , Fragilidad/cirugía , Anciano Frágil , Complicaciones Posoperatorias , Pronóstico , Factores de Riesgo , Tiempo de InternaciónRESUMEN
OBJECTIVE: Preoperative risk stratification of patients undergoing epilepsy surgery remains challenging. Recently, the efforts to look beyond age alone as an outcomes predictor has resulted in the development of measures of physiological reserve, or 'frailty indices.' The most frequently cited index in neurosurgery is the 11-item or 5-item modiï¬ed frailty index (mFI11 or mFI-5). The present study aimed to use a large national registry to evaluate the effect of frailty (as measured by mFI-5 versus age on postoperative outcomes of patients undergoing epilepsy surgery. METHODS: The National Surgical Quality Improvement Program (NSQIP) database, overseen by the American College of Surgeons (ACS), was used to extract data for patients undergoing epilepsy surgery from 2015 to 2019. Univariate and multivariate analyses for age and mFI-5 were performed for the following 30-day outcomes of extended length of hospital stay (eLOS) and non-home discharge (NHD). The effect sizes were summarized by odds ratio and associated 95 % conï¬dence intervals. Receiver operating characteristic (ROC) curve analysis, including area under the curve (AUC), was used to quantify the discrimination. RESULTS: Univariate and multivariate analyses demonstrated that frailty statuses from mFI-5, not age, were signiï¬cantly predictive of eLOS and NHD. On ROC curve analysis, mFI-5 was a stronger predictor of eLOS (C = 0.59, 95 % CI 0.54-0.64, p < 0.001) and NHD (C = 0.69, 95 % CI 0.64-0.76, p < 0.001) than age (C = 0.53, 95 % CI 0.48-0.58, p = 0.21 and C = 0.53, 95 % CI 0.46-0.59, p = 0.44, respectively). CONCLUSION: Frailty, not age, is an independent risk factor for poor postoperative outcomes, particularly eLOS and NHD, in patients undergoing epilepsy surgery. Usage of mFI-5 for preoperative risk stratification of epilepsy surgery patients can help in prognostication.