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OBJECTIVE: Intracranial cavernous malformations (CMs) are benign vascular lesions associated with hemorrhage, seizures, and corresponding neurological deficits. Recent evidence shows that frailty predicts neurosurgical adverse outcomes with superior discrimination compared to greater patient age. Therefore, we utilized the Risk Analysis Index (RAI) to predict adverse outcomes following cavernous malformation resection (CMR). METHODS: This retrospective study utilized the Nationwide Inpatient Sample to identify patients who underwent craniotomy for CMR (2019-2020). Multivariate analysis used RAI to assess the ability of frailty to predict nonhome discharge (NHD), extended length of stay (eLOS), and postoperative adverse outcomes. Receiver operating characteristic curve analysis evaluated the discriminatory accuracy of RAI for prediction of NHD. RESULTS: One thousand two hundred CMR patients were identified. Mean patient age was 38±1.2 years, 53.3% (N=640) were female, and 58.3% (N=700) had private insurance. Patients were stratified into 4 frailty tiers based on RAI scores: "robust" (0-20, R), N=905 (80.8%); "normal" (21-30, N), N=110 (9.8%); "frail" (31-40, F), N=25 (2.2%); and "very frail" (41+, VF), N = 80 (7.1%). Increasing frailty was associated with eLOS and higher rates of NHD (P<0.05). The RAI demonstrated strong discriminatory accuracy (C-statistic=0.722) for prediction of NHD following CMR in area under the receiver operating characteristics. CONCLUSIONS: Preoperative frailty independently predicts adverse outcomes, including eLOS and NHD in patients undergoing resection of cranial CMs. Integrating RAI into preoperative frailty risk assessment may optimize risk stratification and improve patient selection and reallocate perioperative management resources for better patient outcomes.
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OBJECTIVE: The Risk Analysis Index (RAI) score is a screening tool to assess patient frailty. It has been shown to be predictive of postoperative outcomes and mortality in orthopedic, urologic, and neurosurgical patient populations. We sought to evaluate the predictive ability of RAI score for surgical outcomes in an otolaryngology patient population. STUDY DESIGN: Retrospective study. SETTING: Academic tertiary medical center. METHODS: A retrospective study was conducted of adult patients undergoing otolaryngology surgery at a tertiary medical care center over 21 months. Patients were sent electronic RAI survey questionnaires via direct messaging, which was completed prior to surgery. Endpoint data were analyzed, including demographics, RAI score, and patient outcome data. Univariate analysis, ROC curves, and predictive modeling were utilized. RESULTS: A total of 517 patients responded to the RAI questionnaire, resulting in a 59.6% response rate. Mean RAI score was 21.38 ± 11.83. Higher RAI scores were associated with increased 30-day readmissions (P < .0015), postoperative complications (P < .001), hospital length of stay (P < .001), and discharge with home health (P < .001). Predictive models for RAI score and postoperative outcomes were created, and a cutoff score of RAI = 30 was established to identify frail patients. CONCLUSION: We evaluated if RAI scoring predicted postoperative complications in an otolaryngology patient population. Increased RAI score is significantly associated with poorer surgical outcomes, including increased hospital length of stay, 30-day readmissions, and postoperative complications. We propose a predictive model with suggested RAI cutoff scoring for use in the otolaryngology surgical population.
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OBJECTIVE: To evaluate the prognostic utility of baseline frailty, measured by the Risk Analysis Index (RAI), for prediction of postoperative mortality among patients with spinal malignancy (SM) undergoing resection. METHODS: SM surgery cases were queried from the American College of Surgeons - National Surgical Quality Improvement Program database (2011-2020). The relationship between preoperative RAI frailty score and increasing rate of primary endpoint (mortality or discharge to hospice within 30 days, "mortality/hospice") were assessed. Discriminatory accuracy was assessed by computation of C-statistics (with 95% confidence interval [CI]) in receiver operating characteristic (ROC) curve analysis. RESULTS: A total of 2,235 cases were stratified by RAI score: 0-20, 22.7%; 21-30, 11.9%; 31-40, 54.7%; and ≥ 41, 10.7%. The rate of mortality/hospice was 6.5%, which increased linearly with increasing RAI score (p < 0.001). RAI was also associated with increasing rates of major complication, extended length of stay, and nonhome discharge (all p < 0.05). The RAI demonstrated acceptable discriminatory accuracy for prediction of primary endpoint (C-statistic, 0.717; 95% CI, 0.697-0.735). In pairwise ROC comparison, RAI demonstrated superiority versus modified frailty index-5 and chronological age (p < 0.001). CONCLUSION: Preoperative frailty, as measured by RAI, is a robust predictor of mortality/ hospice after SM surgery. The frailty score may be applied in clinical settings using a user-friendly calculator, deployed here: https://nsgyfrailtyoutcomeslab.shinyapps.io/spinalMalignancyRAI/.
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PURPOSE: Frailty is an independent risk factor for adverse postoperative outcomes following spine surgery. The ability of the Risk Analysis Index (RAI) to predict adverse outcomes following posterior lumbar interbody fusion (PLIF) has not been studied extensively and may improve preoperative risk stratification. METHODS: Patients undergoing PLIF were queried from Nationwide Inpatient Sample (NIS) (2019-2020). The relationship between RAI-measured preoperative frailty and primary outcomes (mortality, non-home discharge (NHD)) and secondary outcomes (extended length of stay (eLOS), complication rates) was assessed via multivariate analyses. The discriminatory accuracy of the RAI for primary outcomes was measured in area under the receiver operating characteristic (AUROC) curve analysis. RESULTS: A total of 429,380 PLIF patients (mean age = 61y) were identified, with frailty cohorts stratified by standard RAI convention: 0-20 "robust" (R)(38.3%), 21-30 "normal" (N)(54.3%), 31-40 "frail" (F)(6.1%) and 41+ "very frail" (VF)(1.3%). The incidence of primary and secondary outcomes increased as frailty thresholds increased: mortality (R 0.1%, N 0.1%, F 0.4%, VF 1.3%; p < 0.001), NHD (R 6.5%, N 18.1%, F 36.9%, VF 42.0%; p < 0.001), eLOS (R 18.0%, N 21.9%, F 31.6%, VF 43.8%; p < 0.001) and complication rates (R 6.6%, N 8.8%, F 11.1%, VF 12.2%; p < 0.001). The RAI demonstrated acceptable discrimination for NHD (C-statistic: 0.706) and mortality (C-statistic: 0.676) in AUROC curve analysis. CONCLUSION: Increasing RAI-measured frailty is significantly associated with increased NHD, eLOS, complication rates, and mortality following PLIF. The RAI demonstrates acceptable discrimination for predicting NHD and mortality, and may be used to improve frailty-based risk assessment for spine surgeons.
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PURPOSE: Frailty is an independent risk factor for adverse postoperative outcomes following intracranial meningioma resection (IMR). The role of the Risk Analysis Index (RAI) in predicting postoperative outcomes following IMR is nascent but may inform preoperative patient selection and surgical planning. METHODS: IMR patients from the Nationwide Inpatient Sample were identified using diagnostic and procedural codes (2019-2020). The relationship between preoperative RAI-measured frailty and primary outcomes (non-home discharge (NHD), in-hospital mortality) and secondary outcomes (extended length of stay (eLOS), complication rates) was assessed via multivariate analyses. The discriminatory accuracy of the RAI for primary outcomes was measured in area under the receiver operating characteristic (AUROC) curve analysis. RESULTS: A total of 23,230 IMR patients (mean age = 59) were identified, with frailty statuses stratified by RAI score: 0-20 "robust" (R)(N = 10,665, 45.9%), 21-30 "normal" (N)(N = 8,895, 38.3%), 31-40 "frail" (F)(N = 2,605, 11.2%), and 41+ "very frail" (VF)(N = 1,065, 4.6%). Rates of NHD (R 11.5%, N 29.7%, F 60.8%, VF 61.5%), in-hospital mortality (R 0.5%, N 1.8%, F 3.8%, VF 7.0%), eLOS (R 13.2%, N 21.5%, F 40.9%, VF 46.0%), and complications (R 7.5%, N 11.6%, F 15.7%, VF 16.0%) significantly increased with increasing frailty thresholds (p < 0.001). The RAI demonstrated strong discrimination for NHD (C-statistic: 0.755) and in-hospital mortality (C-statistic: 0.754) in AUROC curve analysis. CONCLUSION: Increasing RAI-measured frailty is significantly associated with increased complication rates, eLOS, NHD, and in-hospital mortality following IMR. The RAI demonstrates strong discrimination for predicting NHD and in-hospital mortality following IMR, and may aid in preoperative risk stratification.
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Fragilidad , Mortalidad Hospitalaria , Neoplasias Meníngeas , Meningioma , Alta del Paciente , Humanos , Femenino , Masculino , Persona de Mediana Edad , Alta del Paciente/estadística & datos numéricos , Fragilidad/complicaciones , Fragilidad/mortalidad , Meningioma/cirugía , Meningioma/mortalidad , Neoplasias Meníngeas/cirugía , Neoplasias Meníngeas/mortalidad , Anciano , Medición de Riesgo/métodos , Complicaciones Posoperatorias/mortalidad , Complicaciones Posoperatorias/epidemiología , Factores de Riesgo , Procedimientos Neuroquirúrgicos/mortalidad , Procedimientos Neuroquirúrgicos/efectos adversos , Pronóstico , Adulto , Estudios RetrospectivosRESUMEN
BACKGROUND: Quality measures determine reimbursement rates and penalties in value-based payment models. Frailty impacts these quality metrics across surgical specialties. We compared the discriminatory thresholds for the risk analysis index (RAI), modified frailty index-5 (mFI-5) and increasing patient age for the outcomes of extended length of stay (LOS [eLOS]), prolonged LOS within 30 days (pLOS), and protracted LOS (LOS > 30). METHODS: Patients ≥18 years old who underwent neurosurgical procedures between 2012 and 2020 were queried from the ACS-NSQIP. We performed receiver operating characteristic analysis, and multivariable analyses to examine discriminatory thresholds and identify independent associations. RESULTS: There were 411,605 patients included, with a median age of 59 years (IQR, 48-69), 52.2% male patients, and a white majority 75.2%. For eLOS: RAI C-statistic 0.653 (95% CI: 0.652-0.655), versus mFI-5 C-statistic 0.552 (95% CI: 0.550-0.554) and increasing patient age C-statistic 0.573 (95% CI: 0.571-0.575). Similar trends were observed for pLOS- RAI: 0.718, mFI-5: 0.568, increasing patient age: 0.559, and for LOS>30- RAI: 0.714, mFI-5: 0.548, and increasing patient age: 0.506. Patients with major complications had eLOS 10.1%, pLOS 26.5%, and LOS >30 45.5%. RAI showed a larger effect for all three outcomes, and major complications in multivariable analyses. CONCLUSION: Increasing frailty was associated with three key quality metrics that is, eLOS, pLOS, LOS > 30 after neurosurgical procedures. The RAI demonstrated a higher discriminating threshold compared to both mFI-5 and increasing patient age. Preoperative frailty screening may improve quality metrics through risk mitigation strategies and better preoperative communication with patients and their families.
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Fragilidad , Tiempo de Internación , Procedimientos Neuroquirúrgicos , Humanos , Persona de Mediana Edad , Masculino , Femenino , Fragilidad/diagnóstico , Anciano , Tiempo de Internación/estadística & datos numéricos , Medición de Riesgo , Procedimientos Neuroquirúrgicos/estadística & datos numéricos , Indicadores de Calidad de la Atención de Salud , Estudios Retrospectivos , Adulto , Factores de EdadRESUMEN
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
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: Failure to rescue (FTR) is a quality metric defined as mortality after potentially preventable complications after surgery. Predicting patients who are at the highest risk of mortality after a complication may aid in preventing deaths. Thirty-day follow-up period inadequately captures postoperative deaths; alternatively, a 90-day follow-up period has been advocated. This study aimed to examine the association of a validated frailty metric, the risk analysis index (RAI), with 90-day FTR (FTR-90). METHODS: Patients aged ≥65 years who underwent a major abdominal operation between 2014 and 2020 at a quaternary care center were abstracted. Institutional data were merged with the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) and Geriatric Surgery Research File variables. The association between RAI and FTR-90 was evaluated using multivariable logistic regression. RESULTS: A total of 398 patients with postoperative complications were included. Fifty-two patients (13.1%) died during the 90-day follow-up. The FTR-90 group was older (median age: 76 vs 73 years, respectively; P = .002), had a greater preoperative American Society of Anesthesiologists classification score (P < .001), and had a higher ACS NSQIP estimated risk of morbidity (0.33% vs 0.20%, P < .001) and mortality (0.067% vs 0.012%, P < .001). The FTR-90 group had a greater median RAI score (23 vs 19; P = .002). The RAI score was independently associated with FTR-90 (odds ratio, 1.04; 95% CI, 1.0042-1.0770; P = .028) but not with FTR-30 (P = .13). CONCLUSION: Preoperative frailty, as defined by RAI, is independently associated with FTR at 90-day follow-up. FTR-90 captured nearly 60% more deaths than did FTR-30. Frailty has major implications beyond the typical 30-day follow-up period, and a longer follow-up period must be considered.
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Fragilidad , Humanos , Anciano , Fragilidad/complicaciones , Abdomen/cirugía , Complicaciones Posoperatorias/epidemiología , Complicaciones Posoperatorias/etiología , Oportunidad Relativa , Mejoramiento de la CalidadRESUMEN
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.
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OBJECTIVE: There is a rising prevalence of overweight and obese persons in the US, and there is a paucity of information about the relationship between frailty and body mass index. Therefore, we examined discrimination thresholds and independent relationships of the risk analysis index (RAI), modified frailty index-5 (mFI-5), and increasing patient age in predicting 30-day postoperative mortality. METHODS: This retrospective American College of Surgeons National Surgical Quality Improvement Program analysis compared all overweight or obese adult patients who underwent neurosurgery procedures between 2012 and 2020. We compared discrimination using receiver operating characteristic curve analysis for RAI, mFI-5, and increasing patient age. Furthermore, multivariable analyses, as well as subgroup analyses by procedure type i.e., spine, skull base, and other (vascular and functional) were performed, and reported as odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: We included 315,725/412,909 (76.5%) neurosurgery patients, with a median age of 59 years (interquartile range: 48-68), predominately White 76.7% and male 54.3%. Receiver operating characteristic analysis for 30-day postoperative mortality demonstrated a higher discriminatory threshold for RAI (C-statistic: 0.790, 95%CI: 0.782-0.800) compared to mFI-5 (C-statistic: 0.692, 95%CI: 0.620-0.638) and increasing patient age (C-statistic: 0.659, 95%CI: 0.650-0.668). Multivariable analyses showed a dose-dependent association and a larger magnitude of effect by RAI: frail patients OR: 11.82 (95%CI: 10.57-13.24), and very frail patients OR: 31.19 (95%CI: 24.87-39.12). A similar trend was observed in all subgroup analyses i.e., spine, skull base, and other (vascular and functional) procedures (P ≤ 0.001). CONCLUSIONS: Increasing frailty was associated with a higher rate of 30-day postoperative mortality, with a dose-dependent effect. Furthermore, the RAI had a higher threshold for discrimination and larger effect sizes than mFI-5 and increasing patient age. These findings support RAI's use in preoperative assessments, as it has the potential to improve postoperative outcomes through targeted interventions.
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Fragilidad , Neurocirugia , Adulto , Anciano , Humanos , Masculino , Persona de Mediana Edad , Fragilidad/complicaciones , Anciano Frágil , Estudios Retrospectivos , Índice de Masa Corporal , Sobrepeso/complicaciones , Medición de Riesgo/métodos , Obesidad/complicaciones , Complicaciones Posoperatorias/epidemiología , Factores de RiesgoRESUMEN
OBJECTIVE: Vertebral compression fracture (VCF) is the most prevalent fragility fracture. When conservative management fails, patients may undergo balloon-assisted kyphoplasty (BAK). In BAK, an expandable balloon preforms a cavity in the fractured vertebra before injection of bone cement. The aim of this study was to compare outcomes in patients stratified by age and frailty assessed by the Risk Analysis Index (RAI). METHODS: A retrospective analysis of 334 BAK procedures (280 patients) for osteoporotic VCFs at a single institution was performed (2015-2022). Patients with at least 1 year of follow-up were eligible for inclusion. Patient demographics were recorded, including age, sex, BMI, RAI score, tobacco and steroid use, osteoporosis treatments, and bone density. Patients who underwent outpatient surgery were identified, and length of stay (LOS) was obtained for admitted patients. The rates of additional VCFs after kyphoplasty, 30-day and 1-year postoperative complications, and reoperation were identified. RESULTS: The overall rates of additional VCFs, 30-day postoperative complications, 1-year postoperative complications, and reoperation were 16.2%, 5.1%, 12.0%, and 6.3%, respectively. Patients were stratified by age: nonelderly (< 80 years; 220 patients, 263 treated vertebrae) and elderly (≥ 80 years; 60 patients, 71 treated vertebrae). There were no differences in sex (p = 0.593), tobacco use (p = 0.973), chronic steroid use (p = 0.794), treatment for osteoporosis (p = 0.537), bone density (p = 0.056), outpatient procedure (p = 0.273), and inpatient LOS (p = 0.661) between both groups. There were also no differences in the development of additional VCFs (p = 0.862) at an adjacent level (p = 0.739) or remote level (p = 0.814), 30-day and 1-year postoperative complications (p = 0.794 and p = 0.560, respectively), and reoperation rates (p = 0.420). Patients were then analyzed by RAI: nonfrail (RAI score < 30; 203 patients, 243 treated vertebrae) and frail (RAI score ≥ 31; 77 patients, 91 treated vertebrae). There were no differences in tobacco use (p = 0.959), chronic steroid use (p = 0.658), treatment for osteoporosis (p = 0.560), bone density (p = 0.339), outpatient procedure (p = 0.241), inpatient LOS (p = 0.570), and development of additional VCFs (p = 0.773) at an adjacent level (p = 0.390) or remote level (p = 0.689). However, rates of 30-day and 1-year postoperative complications in frail patients more than doubled in comparison with nonfrail patients (p = 0.031 and p = 0.007, respectively), and frail patients trended toward reoperation (p = 0.097). CONCLUSIONS: BAK is a safe treatment in the elderly, and age alone should not be used as an exclusion criterion during patient selection. Frailty, which can be assessed reliably using the RAI, may serve as a better predictor for postoperative complications and reoperation following BAK.
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Fracturas por Compresión , Fragilidad , Cifoplastia , Osteoporosis , Fracturas Osteoporóticas , Fracturas de la Columna Vertebral , Humanos , Anciano , Anciano de 80 o más Años , Cifoplastia/efectos adversos , Cifoplastia/métodos , Fracturas de la Columna Vertebral/cirugía , Fracturas de la Columna Vertebral/etiología , Estudios Retrospectivos , Fracturas por Compresión/cirugía , Resultado del Tratamiento , Osteoporosis/cirugía , Cementos para Huesos , Medición de Riesgo , Complicaciones Posoperatorias/epidemiología , Complicaciones Posoperatorias/etiología , Esteroides , Fracturas Osteoporóticas/epidemiología , Fracturas Osteoporóticas/cirugíaRESUMEN
Objective: To compare the predictive abilities of two frailty indices on post-operative morbidity and mortality in patients undergoing pituitary adenoma resection. Methods: The National Surgical Quality Improvement Program (NSQIP) database was used to retrospectively collect data for patients undergoing pituitary adenoma resection between 2015-2019. To compare the predictive abilities of two of the most common frailty indices, the 5-point modified frailty index (mFI-5) and the risk analysis index (RAI), receiver operating curve analysis (ROC) and area under the curve (AUC)/Cstatistic were used. Results: In our cohort of 1,454 patients, the RAI demonstrated superior discriminative ability to the mFI-5 in predicting extended length of stay (C-statistic 0.59, 95% CI 0.56-0.62 vs. C-statistic 0.51, 95% CI: 0.48-0.54, p = 0.0002). The RAI only descriptively appeared superior to mFI-5 in determining mortality (C-statistic 0.89, 95% CI 0.74-0.99 vs. Cstatistic 0.63, 95% CI 0.61-0.66, p=0.11), and NHD (C-statistic 0.68, 95% CI 0.60-0.76 vs. C-statistic 0.60, 95% CI: 0.57-0.62, p=0.15). Conclusions: Pituitary adenomas account for one of the most common brain tumors in the general population, with resection being the preferred treatment for patients with most hormone producing tumors or those causing compressive symptoms. Although pituitary adenoma resection is generally safe, patients who experience post-operative complications frequently share similar pre-operative characteristics and comorbidities. Therefore, appropriate pre-operative risk stratification is imperative for adequate patient counseling and informed consent in these patients. Here we present the first known report showing the superior discriminatory ability of the RAI in predicting eLOS when compared to the mFI-5.
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OBJECTIVE: Arteriovenous fistula (AVF) for hemodialysis access is traditionally considered superior to grafts due to infection resistance and purported improved patency. However, challenges to AVF maturation and limited patient survival may reduce AVF benefits. The objective of this study is to identify factors associated with risk of AVF requiring revision before maturation and/or mortality within 2 years of creation. METHODS: We performed a retrospective review of 250 AVFs created between May 2017 and November 2020 at a single institution. Maturation was defined as the date the surgeon deemed the AVF ready for use or the patient successfully used the AVF for dialysis. The Risk Analysis Index was used to calculate frailty. The primary outcome was a composite of endovascular/surgical revision to promote maturation and/or mortality within 2 years of AVF creation (REVDEAD). The primary outcome was categorized as met if the patient required a revision to promote maturation or if the patient experienced mortality within 2 years of AVF creation, or if both occurred. REVDEAD was compared with those who did not meet the primary outcome and will be referred to as NOREVDEAD. RESULTS: Survival at 2 years after AVF creation was 82%, and 54 (22%) patients underwent AVF revision. Of those, 31 (59%) patients progressed to AVF maturation. Of the 250 AVFs, 91 (36%) met the primary outcome of REVDEAD and 159 (64%) did not (NOREVDEAD). There was no difference between the REVDEAD and NOREVDEAD groups in age (P = .18), sex (P = .75), White race (P = .97), Hispanic ethnicity (P = .62), obesity (P = .76), coronary artery disease (P = .07), congestive heart failure (P = .29), diabetes mellitus (P = .78), chronic obstructive pulmonary disease (P = .10), dialysis status (P = .63), hypertension (P = .32), peripheral arterial disease (P = .34), or dysrhythmia (P = .13). There was no difference between the groups in the forearm vs the upper arm location of AVF (P = .42) or the vein diameter (P = .58). Forearm access, as opposed to upper arm AVF creation, was associated with higher rate of revision before maturation (P = .05). More patients in REVDEAD were frail or very frail (60% vs 48%, P = .05). Of the AVFs that matured, maturation required longer time in REVDEAD at 110.0 ± 9.1 days vs 78.8 ± 5.6 days (mean ± standard deviation) (P = .003). Adjusted for the vein diameter and the forearm vs the upper arm, frailty increased the odds of REVDEAD by 1.9 (95% confidence interval: 1.1, 3.3). CONCLUSIONS: Frail patients who underwent AVF were significantly more likely to die within 2 years of AVF creation with no significant association between frailty and the need for revisions to promote maturation. Forearm AVFs were more likely to require revisions; in patients who are frail, with a high likelihood of 2-year mortality, graft may be more appropriate than AVF. If AVF is being considered in a frail patient, upper arm AVFs should be prioritized over forearm AVFs.
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Derivación Arteriovenosa Quirúrgica , Fragilidad , Fallo Renal Crónico , Humanos , Derivación Arteriovenosa Quirúrgica/efectos adversos , Grado de Desobstrucción Vascular , Resultado del Tratamiento , Venas/cirugía , Diálisis Renal , Estudios RetrospectivosRESUMEN
PURPOSE: Preoperative risk stratification for patients undergoing metastatic brain tumor resection (MBTR) is based on established tumor-, patient-, and disease-specific risk factors for outcome prognostication. Frailty, or decreased baseline physiologic reserve, is a demonstrated independent risk factor for adverse outcomes following MBTR. The present study sought to assess the impact of frailty, measured by the Risk Analysis Index (RAI), on MBTR outcomes. METHODS: All MBTR were queried from the National Inpatient Sample (NIS) from 2019 to 2020 using diagnosis and procedural codes. The relationship between preoperative RAI frailty score and our primary outcome - non-home discharge (NHD) - and secondary outcomes - complication rates, extended length of stay (eLOS), and mortality - were analyzed via univariate and multivariable analyses. Discriminatory accuracy was tested by computation of concordance statistics in area under the receiver operating characteristic (AUROC) curve analysis. RESULTS: There were 20,185 MBTR patients from the NIS database from 2019 to 2020. Each patient's frailty status was stratified by RAI score: 0-20 (robust): 34%, 21-30 (normal): 35.1%, 31-40 (very frail): 13.9%, 41+ (severely frail): 16.8%. Compared to robust patients, severely frail patients demonstrated increased complication rates (12.2% vs. 6.8%, p < 0.001), eLOS (37.6% vs. 13.2%, p < 0.001), NHD (52.0% vs. 20.6%, p < 0.001), and mortality (9.9% vs. 4.1%, p < 0.001). AUROC curve analysis demonstrated good discriminatory accuracy of RAI-measured frailty in predicting NHD after MBTR (C-statistic = 0.67). CONCLUSION: Increasing RAI-measured frailty status is significantly associated with increased complication rates, eLOS, NHD, and mortality following MBTR. Preoperative frailty assessment using the RAI may aid in preoperative surgical planning and risk stratification for patient selection.
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Neoplasias Encefálicas , Fragilidad , Humanos , Fragilidad/complicaciones , Alta del Paciente , Pacientes Internos , Complicaciones Posoperatorias/etiología , Medición de Riesgo , Neoplasias Encefálicas/cirugía , Neoplasias Encefálicas/complicacionesRESUMEN
Brain metastases are a relatively common occurrence in patients with primary malignancies, with an incidence ranging from 9 to 17%. Their prevalence has increased due to treatment advancements that have led to improved survival in cancer patients. Frailty has demonstrated the ability to outperform greater patient age in surgical decision-making by predicting postoperative adverse events that include mortality, extended length of hospital stay, non-routine discharge disposition, and postoperative complications. Although predictive models based on frailty have been increasingly utilized in literature, their generalizability remains questionable due to inadequacies in model development and validation. Our systematic review describes development and validation cohorts of frailty indices used in patients undergoing surgical resection of brain metastases and serves as a guide to their incorporation in the outpatient clinical setting. A systematic review of literature was performed using PubMed and Google Scholar. Articles that reported outcomes using frailty indices in patients undergoing surgical resection of brain metastases were included. The Newcastle Ottawa Scale (NOS) was used to assess for risk of bias across individual studies. Studies with NOS > 5 were considered high quality. We identified 238 articles through our search strategy. After a title and abstract screen, followed by a full text review, 9 articles met criteria for inclusion. The 5- and 11-factor modified frailty indices were most frequently utilized (n = 4). Five studies utilized single-hospital databases, and four utilized nationwide databases. Six studies were considered high-quality based on the NOS. Although frailty indices have demonstrated the ability to predict outcomes in patients undergoing surgical resection of brain metastases, further validation of these indices is necessary prior to their incorporation in clinical practice.
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Neoplasias Encefálicas , Fragilidad , Humanos , Neoplasias Encefálicas/cirugía , Complicaciones Posoperatorias/epidemiología , Bases de Datos Factuales , Tiempo de InternaciónRESUMEN
INTRODUCTION: The Risk Analysis Index (RAI) is a frailty assessment tool associated with adverse postoperative outcomes including 180 and 365-d mortality. However, the RAI has been criticized for only containing subjective inputs rather than including more objective components such as biomarkers. METHODS: We conducted a retrospective cohort study to assess the benefit of adding common biomarkers to the RAI using the Veterans Affairs Surgical Quality Improvement Program (VASQIP) database. RAI plus body mass index (BMI), creatinine, hematocrit, and albumin were evaluated as individual and composite variables on 180-d postoperative mortality. RESULTS: Among 480,731 noncardiac cases in VASQIP from 2010 to 2014, 324,320 (67%) met our inclusion criteria. Frail patients (RAI ≥30) made up to 13.0% of the sample. RAI demonstrated strong discrimination for 180-d mortality (c = 0.839 [0.836-0.843]). Discrimination significantly improved with the addition of Hematocrit (c = 0.862 [0.859-0.865]) and albumin (c = 0.870 [0.866-0.873]), but not for body mass index (BMI) or creatinine. However, calibration plots demonstrate that the improvement was primarily at high RAI values where the model overpredicts observed mortality. CONCLUSIONS: While RAI's ability to predict the risk of 180-d postoperative mortality improves with the addition of certain biomarkers, this only observed in patients classified as very frail (RAI >49). Because very frail patients have significantly elevated observed and predicted mortality, the improved discrimination is likely of limited clinical utility for a frailty screening tool.
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Fragilidad , Humanos , Anciano , Fragilidad/diagnóstico , Fragilidad/complicaciones , Estudios Retrospectivos , Creatinina , Complicaciones Posoperatorias/diagnóstico , Complicaciones Posoperatorias/epidemiología , Complicaciones Posoperatorias/etiología , Medición de Riesgo , Biomarcadores , Albúminas , Factores de Riesgo , Anciano FrágilRESUMEN
BACKGROUND CONTEXT: The United States has experienced substantial shifts in its population dynamics due to an aging population and increasing obesity rates. Nonetheless, there is limited data about the interplay between the triad of frailty, aging, and obesity. PURPOSE: To investigate discriminative thresholds and independent associations of the Risk Analysis Index (RAI), Modified Frailty Index-5 (mFI-5), and greater patient age. STUDY DESIGN: An observational retrospective cohort study. PATIENT SAMPLE: We analyzed 49,754 spine surgery patients from the American College of Surgeons National Surgical Quality Improvement Program database from 2012 to 2020. OUTCOME MEASURE: A total of 30-day postoperative mortality. METHODS: Using receiver operating characteristic (ROC) and multivariable (odds ratios [OR] and 95% confidence intervals [CI]) analyses, we compared the discriminative thresholds and independent associations of RAI, mFI-5, and greater patient age in elderly obese patients who underwent spine surgery. RESULTS: There were 49,754 spine surgery patients, with a median age of 71 years (IQR: 68-75), largely white (82.6%) and male (51.9%). The ROC analysis for 30-day postoperative mortality demonstrated superior discrimination for RAI (C-statistic 0.779, 95%CI 0.54-0.805) compared to mFI-5 (C-statistic 0.623, 95% CI 0.594-0.651) and greater patient age (C-statistic 0.627, 95% CI 0.598-0.656). Multivariable analyses revealed a dose-dependent association and a larger effect magnitude for RAI: frail patients OR: 19.52 (95% CI 18.29-20.82) and very frail patients OR: 65.81 (95% CI 62.32-69.50). A similar trend was observed in the interaction evaluating RAI-age-obesity (p<.001). CONCLUSION: Our study highlights a strong association between frailty and 30-day postoperative mortality in elderly obese spine patients, revealing a dose-dependent relationship. The RAI has superior discrimination than the mFI-5 and greater patient age in predicting 30-day postoperative mortality after spine surgery. Using the RAI in preoperative assessments may improve outcomes and help healthcare providers effectively communicate accurate surgical risks and potential benefits, set realistic recovery expectations, and enhances patient satisfaction.
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Fragilidad , Anciano , Humanos , Masculino , Envejecimiento , Fragilidad/complicaciones , Obesidad/complicaciones , Obesidad/epidemiología , Complicaciones Posoperatorias/epidemiología , Estudios Retrospectivos , Medición de Riesgo , Factores de Riesgo , Estados Unidos , FemeninoRESUMEN
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.