Preoperative Frailty Assessment Research Articles

Knowledge mapping of frailty and surgery: a bibliometric and visualized analysis

PurposeFrailty is common in surgical patients and is closely associated with postoperative outcomes.AimsThis study employed bibliometric methods to summarize and analyze research related to frailty and surgery, comprehensively analyzing the research structure and providing visualized maps.MethodsThis study analyzed the volume of publications, countries, institutions, authors, journals, references, and keywords related to perioperative frailty in the Web of Science Core Collection from 1978 to 2024. Visual bibliometric analyses were conducted from multiple perspectives, including collaboration networks, citation analysis, and keyword clustering.ResultsFrom 1978 to 2024, 21,879 authors from 95 countries and regions published 4,119 papers on perioperative frailty in 973 journals worldwide. The United States has the most publications, while Italy has the highest degree of international collaboration. The University of California System has the highest number of publications. The University of Kansas Medical Center is the institution with the highest centrality. The top nine authors in terms of publication volume are all from the USA. Bowers Christian A. is the most prolific author. The Journal of Vascular Surgery is the journal with the most publications. Current research directions include preoperative risk assessment of frailty, the relationship between frailty and postoperative complications, elderly frailty, and the relationship between frailty and sarcopenia. Research hotspots include risk stratification, postoperative delirium, the elderly, and sarcopenia.ConclusionThis study has identified the research hotspots and trends in perioperative frailty. Our findings will enable researchers to understand this field’s knowledge structure better and identify future research directions.

EP349 - Use of Pre-operative Risk and Frailty Assessment in patients undergoing Emergency Laparotomy

Abstract Aims Formal preoperative assessment of risk of complications and death in all patients undergoing Emergency Laparotomy is recommended by NELA (National Emergency Laparotomy Audit) in the UK. In addition, frailty assessment in patients who are 65years or older and frail undergoing Emergency Laparotomy is also recommended. In a previous 2018 audit, we had recorded Preoperative Mortality Risk in 77% patients undergoing Emergency Laparotomy and Frailty was not part of our assessment in these patients. In this audit our aim was to evaluate documentation of preoperative frailty and risk assessment in patients undergoing Emergency Laparotomy from 2019 to 2023. Methods Details of all patients who underwent Emergency Laparotomy at a University Hospital under care of one surgical team between January 2019 and December 2023 were obtained from theatre logbooks. Patient notes were retrospectively reviewed to see if frailty assessment and preoperative risk assessment scores were recorded. This data was collected and analyzed using Microsoft Excel. Results During this period, sixty-seven patients were identified. The median age was sixty-seven with an age range from four to ninety-one. Of these 38 (57%) were females. A preoperative p-possum score was documented in 59 (88.1%), 39 (58.2%) patients were 65 years or older of these 26 (66.7%) had frailty assessment carried out. Conclusions Our data suggests that we have over time made progress in the use of Perioperative Risk assessment scores and incorporated frailty assessment in our perioperative practice in patient’s undergoing Emergency Laparotomy. However there remains room for improvement.

Preoperative frailty and postoperative complications after non-cardiac surgery: a systematic review.

Many tools have been used to assess frailty in the perioperative setting. However, no single scale has been shown to be the most effective in predicting postoperative complications. We evaluated the relationship between several frailty scales and the occurrence of complications following different non-cardiac surgeries. This systematic review was registered in PROSPERO (CRD42023473401). The search strategy included PubMed, Google Scholar, and Embase, covering manuscripts published from January 2000 to July 2023. We included prospective and retrospective studies that evaluated frailty using specific scales and tracked patients postoperatively. Studies on cardiac, neurosurgical, and thoracic surgery were excluded because of the impact of underlying diseases on patients' functional status. Narrative reviews, conference abstracts, and articles lacking a comprehensive definition of frailty were excluded. Of the 2204 articles identified, 145 were included in the review: 7 on non-cardiac surgery, 36 on general and digestive surgery, 19 on urology, 22 on vascular surgery, 36 on spinal surgery, and 25 on orthopedic/trauma surgery. The reviewed manuscripts confirmed that various frailty scales had been used to predict postoperative complications, mortality, and hospital stay across these surgical disciplines. Despite differences among surgical populations, preoperative frailty assessment consistently predicts postoperative outcomes in non-cardiac surgeries.

Hospital frailty risk score predicts high-value care outcomes following brain metastasis resection

ObjectiveBrain metastases (BM) are the most common adult intracranial tumors, representing a significant source of morbidity in patients with systemic malignancy. Frailty indices, including 11- and 5-factor modified frailty indices (mFI-11 and mFI-5), American Society of Anesthesiologists (ASA) physical status classification, and Charlson Comorbidity Index (CCI), have recently demonstrated an important role in predicting high-value care outcomes in neurosurgery. This study aims to investigate the efficacy of the newly developed Hospital Frailty Risk Score (HFRS) on postoperative outcomes in BM patients. MethodsAdult patients with BM treated surgically at a single institution were identified (2017–2019). HFRS was calculated using ICD-10 codes, and patients were subsequently separated into low (<5), intermediate (5−15), and high (>15) HFRS cohorts. Multivariate logistic regressions were utilized to identify associations between HFRS and complications, length of stay (LOS), hospital charges, and discharge disposition. Model discrimination was assessed using receiver operating characteristic (ROC) curves. ResultsA total of 356 patients (mean age: 61.81±11.63 years; 50.6 % female) were included. The mean±SD for HFRS, mFI-11, mFI-5, ASA, and CCI were 6.46±5.73, 1.31±1.24, 0.95±0.86, 2.94±0.48, and 8.69±2.07, respectively. On multivariate analysis, higher HFRS was significantly associated with greater complication rate (OR=1.10, p<0.001), extended LOS (OR=1.13, p<0.001), high hospital charges (OR=1.14, p<0.001), and nonroutine discharge disposition (OR=1.12, p<0.001), and comparing the ROC curves of mFI-11, mFI-5, ASA,and CCI, the predictive accuracy of HFRS was the most superior for all four outcomes assessed. ConclusionThe predictive ability of HFRS on BM resection outcomes may be superior than other frailty indices, offering a new avenue for routine preoperative frailty assessment and for managing postoperative expectations.

Risk Analysis Index Predicts Nonhome Discharge Following Resection of Cavernous Malformations

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). 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. One thousand two hundred CMR patients were identified. Mean patient age was 38±1.2years, 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. 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.

Routine Preoperative Frailty Assessment Predicts Postoperative Complication in PCNL Surgery

Routine Preoperative Frailty Assessment Predicts Postoperative Complication in PCNL Surgery

Preoperative rehabilitation optimization for spinal surgery: a narrative review of assessment, interventions, and feasibility.

Postoperative physical therapy (PT) is a cornerstone of orthopedic and musculoskeletal rehabilitation, proven to provide various positive clinical benefits. However, there is a paucity of literature evaluating the utility of preoperative rehabilitation specific to spine surgery. Thus, this review article aims to provide an overview of previously published studies discussing the efficacy of preoperative rehabilitation programs and its role in spinal surgery. Special emphasis was given to preoperative frailty assessments, physical performance tests, interventional strategies, feasibility, and future directions. We performed a literature review using PubMed, Google Scholar, EMBASE, and PubMed Central (PMC) using directed search terms. Articles that examined preoperative rehabilitation in adult spine surgery were compiled for this review. Prehabilitation programs focused on exercise, flexibility, and behavioral modifications have been shown to significantly improve pain levels and functional strength assessments in patients undergoing elective spine surgery. In addition, studies suggest that these programs may also decrease hospital stays, return to work time, and overall direct health care expenditure costs. Screening tools such as the FRAIL scale can be used to assess frailty while physical function tests like the timed-up-and go (TUGT), 5 repetition sit-to-stand test (5R-STST), and hand grip strength (HGS) can help identify patients who would most benefit from prehabilitation. This review illustrates that prehabilitation programs have the potential to increase quality of life, improve physical function and activity levels, and decrease pain, hospital stays, return to work time, and overall direct costs. However, there is a paucity of literature in this field that requires further study and investigation.

Differences in preoperative frailty assessment of surgical candidates by sex, age, and race

IntroductionSurgical decision-making often relies on a surgeon's subjective assessment of a patient's frailty status to undergo surgery. Certain patient demographics can influence subjective judgment when compared to validated objective assessments. In this study, we explore the relationship between subjective and objective frailty assessments according to patient age, sex, and race. MethodsPatients were prospectively enrolled in urology, general surgery, and surgical oncology clinics. Using a visual analog scale (0−100), operating surgeons independently rated the patient's frailty status. Objective frailty was classified using the Fried Frailty Criteria ranging from 0 to 5. Multivariable proportional odds models were conducted to examine the potential association of factors with objective frailty, according to surgeon frailty rating. Subgroup analysis according to patient sex, race, and age was also performed. ResultsSeven male surgeons assessed 203 patients preoperatively with a median age of 65. A majority of patients were male (61 %), white (67 %), and 60 % and 40 % underwent urologic and general surgery/surgical oncology procedures respectively. Increased subjective surgeon rating (OR 1.69; p < 0.001) was significantly associated with the presence of objective frailty. On subgroup analysis, a higher magnitude of such association was observed more in females (OR 1.86; p = 0.0007), non-white (OR 1.84; p = 0.0019), and older (>60, OR 1.75; p = 0.0001) patients, compared to male (OR 1.45; p = 0.0243), non-white (OR 1.48; p = 0.0109) and patients under 60 (OR 1.47; p = 0.0823). ConclusionThe surgeon's subjective assessment of frailty demonstrated tendencies to rate older, female, and non-white patients as frail; however, differences in patient sex, age, and race were not statistically significant.

The Preoperative Assessment of Frailty in the Setting of Transcatheter Aortic Valve Implantation (TAVI): A Systematic Review

The Preoperative Assessment of Frailty in the Setting of Transcatheter Aortic Valve Implantation (TAVI): A Systematic Review

Preoperative frailty assessment with ultrasound in elderly patients scheduled for total knee arthroplasty.

Frailty, a decline in physical and cognitive reserve capacity, renders patients susceptible to various stressors and has been linked to adverse outcomes and increased healthcare utilization. This study aimed to determine whether ultrasound measurements of the rectus abdominis (RA) and biceps brachii (BB) could predict frailty in patients scheduled for total knee arthroplasty. Frailty was assessed using the Clinical Frailty Scale in adults aged ≥60 years. Ultrasound measurements of the rectus abdominis, BB, and quadriceps femoris muscles, along with thigh circumference measurements, were obtained before surgery. The predictive ability of the unadjusted and BMI- and body surface area (BSA)-adjusted measurements were evaluated using receiver operating characteristic curve analysis and area under the curve (AUC) values. Postoperative outcomes, such as admission to the intensive care unit or skilled nursing facility, delirium, falls, re-hospitalization, and 30-day mortality were recorded. We analyzed data from 148 patients. BB thickness provided a fair prediction of frailty. Average measurements of both BB adjusted for BMI (0.708, 95% CI 0.602-0.814; P<0.001), and BSA (0.708, 95% CI 0.598-0.817; P<0.001) had the highest AUC values. RA muscle measurements could not discriminate frailty. The BMI-adjusted measurements for: right quadriceps femoris thickness (AUC 0.614, 95% CI 0.503-0.725; P=0.044), left thigh circumference (AUC 0.648, 95% CI 0.528-0.769; P=0.016), and average thigh circumference (AUC 0.630, 95% CI 0.511-0.750; P=0.033) had statistically significant but poor AUC values. Preoperative ultrasound measurements of the bilateral BB can fairly predict frailty in patients scheduled for total knee arthroplasty.

Association of preoperative frailty with the risk of postoperative delirium in older patients undergoing hip fracture surgery: a prospective cohort study

ObjectiveThis study aimed to explore the correlation between preoperative frailty and the risk of postoperative delirium (POD) in older patients undergoing hip fracture surgery.MethodsIn total, 148 patients with hip fractures who were admitted to Tsinghua Changgung Hospital (Beijing, China) between January 2022 and January 2023 were involved in this study. Preoperative frailty scales were assessed, of which the CAM scale was postoperatively administered every morning and evening on days 1, 2, 3, 5, and 7. Binary logistic regression analysis was conducted to determine the correlation between preoperative frailty and the risk of POD.ResultsAmong 148 older patients with hip fractures, 71 (48.0%) were identified as preoperative frail and 77 (52.0%) as non-frail. The overall incidence of POD on day 7 was 24.3% (36/148), and preoperative frailty was associated with a significantly higher risk of POD compared with non-frailty (42.3% vs. 7.8%, P < 0.001). The binary logistic regression analysis revealed that preoperative frailty was noted as an independent risk factor for the risk of POD in older patients undergoing hip fracture surgery (P = 0.002).ConclusionPreoperative frailty increased the risk of POD in older patients undergoing hip fracture surgery.DiscussionPreoperative assessment of frailty in geriatric hip surgery can timely identify potential risks and provide interventions targeting frailty factors to reduce the incidence of POD in older patients undergoing hip fracture surgery. The findings suggested that preoperative frailty could increase the risk of POD in older patients undergoing hip fracture surgery. Further research is necessary to determine whether perioperative interventions aimed at enhancing frailty can mitigate the risk of POD and improve prognosis in older patients undergoing hip fracture surgery.

ASO Author Reflections: Preoperative Frailty and Nutritional Assessment of Patients Undergoing Oncologic Resections.

ASO Author Reflections: Preoperative Frailty and Nutritional Assessment of Patients Undergoing Oncologic Resections.

Preoperative Frailty and Malnutrition in Surgical Oncology Patients Predicts Higher Postoperative Adverse Events and Worse Survival: Results of a Blinded, Prospective Trial.

Frailty, a multidimensional state leading to reduced physiologic reserve, is associated with worse postoperative outcomes. Despite the availability of various frailty tools, surgeons often make subjective assessments of patients' ability to tolerate surgery. The Risk Analysis Index (RAI) is a validated preoperative frailty assessment tool that has not been studied in cancer patients with plans for curative-intent surgery. In this prospective, surgeon-blinded study, patients who had abdominal malignancy with plans for resection underwent preoperative frailty assessment with the RAI and nutrition assessment by measurement of albumin, prealbumin, and C-reactive protein (CRP). Postoperative outcomes and survival were assessed. The study included 220 patients, 158 (72%) of whom were considered frail (RAI ≥21). Frail patients were more likely to be readmitted within 30 and 90 days, (16% vs. 3% [P = 0.006] and 16% vs. 5% [P = 0.025], respectively). Patients with abnormal CRP, prealbumin, and albumin experienced higher rates of unplanned intensive care unit admission (CRP [27% vs. 8%; P < 0.001], albumin [30% vs. 10%; P < 0.001], prealbumin [29% vs. 9%; P < 0.001]) and increased postoperative mortality at 90 and 180 days. Survival was similar for frail and non-frail patients. In the multivariate analysis, frailty remained an independent risk factor for readmission (hazard ratio, 5.58; 95% confidence interval, 1.39-22.15; P = 0.015). In the post hoc analysis using the pre-cancer RAI score, the postoperative outcomes did not differ between the frail and non-frail patients. In conjunction with preoperative markers of nutrition, the RAI may be used to identify patients who may benefit from additional preoperative risk stratification and increased postoperative follow-up evaluation.

Trajectory Analysis of Health Care Utilization Before and After Major Surgery.

To characterize patterns of health care utilization before and after surgery and determine any association with preoperative frailty. Frail patients experience worse postoperative outcomes and increased costs during the surgical encounter. Evidence is comparatively lacking for the longer-term effects of frailty on postoperative health care utilization. Retrospective, longitudinal cohort analysis of adult patients undergoing any elective surgical procedure after preoperative frailty assessment with the Risk Analysis Index from February 2016 to December 2020 at a large integrated health care delivery and financing system. Group-based trajectory modeling of claims data estimated distinct clusters of patients with discrete utilization trajectories. Multivariable regression predicted membership in trajectories of interest using preoperative characteristics, including frailty. Among 29,067 surgical encounters, 4 distinct utilization trajectories emerged in longitudinal data from the 12 months before and after surgery. All cases exhibited a surge in utilization during the surgical month, after which most patients returned to "low" [25,473 (87.6%)], "medium" [1403 (4.8%)], or "high" [528 (1.8%)] baseline utilization states established before surgery. The fourth trajectory identified 1663 (5.7%) cases where surgery occasioned a transition from "low" utilization before surgery to "high" utilization afterward. Risk Analysis Index score alone did not effectively predict membership in this transition group, but a multivariable model with other preoperative variables was effective ( c = 0.859, max rescaled R2 = 0.264). Surgery occasions the transition from low to high health care utilization for a substantial subgroup of surgical patients. Multivariable modeling may effectively discriminate this utilization trajectory, suggesting an opportunity to tailor care processes for these patients.

Impact of Frailty and Sarcopenia on Short- and Long-Term Outcomes in Elderly Patients Undergoing Radical Gastrectomy for Gastric Cancer.

The impact of frailty and sarcopenia in patients with gastric cancer is unclear. This study aimed to comprehensively examine the impact of frailty and sarcopenia on the short- and long-term outcomes in elderly patients undergoing radical gastrectomy for gastric cancer. We retrospectively assessed 246 patients aged ≥ 65years who underwent radical gastrectomy. Frailty and sarcopenia were assessed using the modified frailty index (mFI) and psoas muscle mass index (PMI), respectively. There were 30 (12.2%) and 60 (24.4%) patients with High-mFI and Low-PMI, respectively. As the age increased, both sexes showed significant correlations with PMI and mFI (r = - 0.238, 0.322, P = 0.003 and 0.002, respectively). High-mFI and Low-PMI did not affect the short-term outcomes. However, High-mFI was an independent risk factor for non-home discharge (P = 0.004) and was a significant predictor of 3- and 5-year overall survival (OS) (HR = 2.76 and 2.26; P = 0.002 and 0.005, respectively) and 1-, 3- and 5-year non-cancer-specific survival (non-CSS) (HR = 4.88, 8.05, and 4.01; P = 0.017, < 0.001, < 0.001, respectively). Low-PMI was a significant predictor of only 5-year OS (HR = 2.03, P = 0.003) and non-CSS (HR = 2.10, P = 0.020). Frailty is significant predictor of non-home discharge and 1-, 3-, 5-year OS and 3- and 5-year non-CSS. Sarcopenia is a significant predictor of 5-year OS and non-CSS. Preoperative assessment of both frailty and sarcopenia can help surgeons to select adequate treatment strategies for the elderly population.

RAI-measured frailty predicts non-home discharge following metastatic brain tumor resection: national inpatient sample analysis of 20,185 patients.

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. 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. 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). 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.

A systematic review of predictive accuracy via c-statistic of preoperative frailty tests for extended length of stay, post-operative complications, and mortality.

Frailty, as an age-related syndrome of reduced physiological reserve, contributes significantly to post-operative outcomes. With the aging population, frailty poses a significant threat to patients and health systems. Since 2012, preoperative frailty assessment has been recommended, yet its implementation has been inhibited by the vast number of frailty tests and lack of consensus. Since the anesthesiologist is the best placed for perioperative care, an anesthesia-tailored preoperative frailty test must be simple, quick, universally applicable to all surgeries, accurate, and ideally available in an app or online form. This systematic review attempted to rank frailty tests by predictive accuracy using the c-statistic in the outcomes of extended length of stay, 3-month post-operative complications, and 3-month mortality, as well as feasibility outcomes including time to completion, equipment and training requirements, cost, and database compatibility. Presenting findings of all frailty tests as a future reference for anesthesiologists, Clinical Frailty Scale was found to have the best combination of accuracy and feasibility for mortality with speed of completion and phone app availability; Edmonton Frailty Scale had the best accuracy for post-operative complications with opportunity for self-reporting. Finally, extended length of stay had too little data for recommendation of a frailty test. This review also demonstrated the need for changing research emphasis from odds ratios to metrics that measure the accuracy of a test itself, such as the c-statistic.

Predictors of postoperative urinary tract infection following holmium laser enucleation of the prostate.

Storage urinary symptoms and urinary tract infection (UTI) are among the most common complications following holmium laser enucleation of the prostate (HoLEP). We aimed to study the incidence and risk factors for storage urinary symptoms and early UTI following HoLEP. A prospectively maintained database was reviewed for patients who underwent HoLEP over a five-year period at a single tertiary center. Patient demographics, preoperative, operative, and postoperative characteristics, as well as infection rates, were obtained and analyzed using the appropriate statistical methods. Of a total 514 patients who underwent HoLEP, 473 patients with complete followup data were included. Mean (± standard deviation) age and median (interquartile range) prostate volume were 72±9.1 years and 89 (68-126) g, respectively. Preoperative positive urine culture and urine retention were seen in 28.5% (n=135) and 23.46 % (n=111) of patients, respectively. At six-week followup, irritative urinary symptoms were seen in 32.3% (n=153) of patients, while 13.5% (n= 64) of patients had positive urine culture. Bivariate and multivariate analysis showed that factors associated with significant higher rate of postoperative UTI at six weeks were high body mass index (BMI) (p= 0.023), weak grip strength within preoperative frailty assessment (p=0.042), positive preoperative urine culture (p=0.025), and postoperative incontinence (p=0.002). Storage urinary symptoms are common complaints post-HoLEP; however, it may be caused by an inflammatory rather than infective process in a significant percentage of patients. Possible predictors of UTI after HoLEP are high BMI, preoperative positive urine culture, higher frailty scale, and postoperative urinary incontinence.

Adverse effects of frailty on the outcomes of surgery for degenerative cervical myelopathy: results from a prospective multicenter international data set of 757 patients.

The goal of this study was to determine the effect of the degree of frailty on long-term neurological and functional outcomes after surgery for degenerative cervical myelopathy (DCM). A combined database of patients enrolled in the Cervical Spondylotic Myelopathy-North America and Cervical Spondylotic Myelopathy-International prospective international multicenter observational studies who underwent surgery for DCM was used as the source data. All patients underwent baseline and follow-up assessment at 2 years after surgery for functional, disability, and quality of life measurements (modified Japanese Orthopaedic Association [mJOA] scale, Neck Disability Index, SF-36 physical and mental component summary scores). Patients were separated into 4 groups according to their baseline modified frailty index 5-point scale score: not frail, pre-frail, frail, and severely frail. Differences among groups were analyzed at baseline and at 2 years after surgery, including change in scores (delta values) and the odds ratio of achieving the minimum clinically important difference (MCID) through univariate and multivariable logistic regression adjusting for age, approach, number of levels treated, and sex. A total of 757 patients (63% male) with a mean age of 56 (95% CI 55.5-57.2) years were included: 470 patients underwent an anterior approach, 310 had a posterior approach, and 23 had a combined anterior/posterior approach. A total of 50% (n = 378) of patients were classified as not frail, with 33% (n = 250) pre-frail, 13% (n = 101) frail, and 4% (n = 28) severely frail. The baseline mJOA score was significantly lower with increasing frailty (14.00 [95% CI 13.75-14.19] for not frail vs 9.71 [95% CI 9.01-10.42] for severely frail patients; p < 0.05), but the change at 2 years was not significantly different among all groups (2.43 [95% CI 2.16-2.71] for not frail vs 2.56 [95% CI 1.10-4.02] for severely frail). The SF-36 delta values were also not different among groups, but significantly worse at baseline with increasing frailty. The odds ratio of achieving MCID for mJOA was significantly higher in the not frail group (1.89 [95% CI 1.36-2.61]; p < 0.05) compared to the other frailty cohorts, which remained after adjusting for age, approach, levels treated, and sex. The odds ratio of achieving MCID for the SF-36 domains was similar among all frailty groups. Increasing frailty is associated with worse baseline functional and quality of life measures in patients undergoing surgery for DCM. Frailty does not affect the magnitude of improvement in outcome measures after surgery, but reduces the chance of achieving the MCID for functional impairment significantly. Preoperative frailty assessment can therefore help guide clinicians in managing expectations after surgery for DCM. Potentially modifiable factors should be optimized in frail patients preoperatively to enhance functional outcomes.

Clinical Frailty Scale as a predictor of adverse outcomes following aortic valve replacement: a systematic review and meta-analysis

ObjectivesAssessment of frailty prior to aortic valve intervention is recommended in European and North American valvular heart disease guidelines. However, there is a lack of consensus on how it is...