Comparison of Frailty Measures as Predictors of Outcomes After Orthopedic Surgery.
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ABSTRACT: To apply the Frailty Phenotype (FP) and Frailty Index (FI) before major elective orthopedic surgery to categorize frailty status and assess associations with postoperative outcomes.Prospective cohort study.Two tertiary hospitals in Boston, Massachusetts.Individuals aged 70 and older undergoing scheduled orthopedic surgery enrolled in the Successful Aging after Elective Surgery (SAGES) Study (N = 415).Preoperative evaluation included assessment of frailty using the FP and FI. The weighted kappa statistic was used to determine concordance between the two frailty measures and multivariable modeling to determine associations between each measure and postoperative complications, postoperative length of stay (LOS) of longer than 5 days, discharge to postacute institutional care (PAC), and 300 day readmission.Frailty was highly prevalent (FP, 35%; FI, 41%). There was moderate concordance between the FP and FI (? = 0.42, 95% confidence interval (CI) 0.36-0.49). When using the FP, being prefrail predicted greater risk of complications (relative risk (RR) = 1.6, 95% CI = 1.1-2.1) and discharge to PAC (RR = 1.8, 95% CI = 1.2-2.9) than being robust, and being frail predicted more complications (RR = 1.7, 95% CI = 1.1-2.1), LOS longer than 5 days (RR = 3.1, 95% CI = 1.1-8.8), and discharge to PAC (RR = 2.3 95% CI = 1.4-3.7). When using FI, being prefrail predicted LOS longer than 5 days (RR = 2.1, 95% CI = 1.0-4.8) and discharge to PAC (RR = 1.5, 95% CI = 1.4-2.1), as did being frail (RR = 1.9, 95% CI = 1.4-2.5; RR = 3.1, 95% CI = 1.4-6.8, respectively). The other outcomes were not significantly associated with frailty status.FP and FI predict postoperative outcomes after major elective orthopedic surgery and should be considered for preoperative risk stratification.
Journal of the American Geriatrics Society 20161101 12
<h4>Objectives</h4>To apply the Frailty Phenotype (FP) and Frailty Index (FI) before major elective orthopedic surgery to categorize frailty status and assess associations with postoperative outcomes.<h4>Design</h4>Prospective cohort study.<h4>Setting</h4>Two tertiary hospitals in Boston, Massachusetts.<h4>Participants</h4>Individuals aged 70 and older undergoing scheduled orthopedic surgery enrolled in the Successful Aging after Elective Surgery (SAGES) Study (N = 415).<h4>Measurements</h4>Preo ...[more]
Project description:ImportanceElectronic frailty metrics have been developed for automated frailty assessment and include the Hospital Frailty Risk Score (HFRS), the Electronic Frailty Index (eFI), the 5-Factor Modified Frailty Index (mFI-5), and the Risk Analysis Index (RAI). Despite substantial differences in their construction, these 4 electronic frailty metrics have not been rigorously compared within a surgical population.ObjectiveTo characterize the associations between 4 electronic frailty metrics and to measure their predictive value for adverse surgical outcomes.Design, setting, and participantsThis retrospective cohort study used electronic health record data from patients who underwent abdominal surgery from January 1, 2010, to December 31, 2020, at 20 medical centers within Kaiser Permanente Northern California (KPNC). Participants included adults older than 50 years who underwent abdominal surgical procedures at KPNC from 2010 to 2020 that were sampled for reporting to the National Surgical Quality Improvement Program.Main outcomes and measuresPearson correlation coefficients between electronic frailty metrics and area under the receiver operating characteristic curve (AUROC) of univariate models and multivariate preoperative risk models for 30-day mortality, readmission, and morbidity, which was defined as a composite of mortality and major postoperative complications.ResultsWithin the cohort of 37 186 patients, mean (SD) age, 67.9 (female, 19 127 [51.4%]), correlations between pairs of metrics ranged from 0.19 (95% CI, 0.18- 0.20) for mFI-5 and RAI 0.69 (95% CI, 0.68-0.70). Only 1085 of 37 186 (2.9%) were classified as frail based on all 4 metrics. In univariate models for morbidity, HFRS demonstrated higher predictive discrimination (AUROC, 0.71; 95% CI, 0.70-0.72) than eFI (AUROC, 0.64; 95% CI, 0.63-0.65), mFI-5 (AUROC, 0.58; 95% CI, 0.57-0.59), and RAI (AUROC, 0.57; 95% CI, 0.57-0.58). The predictive discrimination of multivariate models with age, sex, comorbidity burden, and procedure characteristics for all 3 adverse surgical outcomes improved by including HFRS into the models.Conclusions and relevanceIn this cohort study, the 4 electronic frailty metrics demonstrated heterogeneous correlation and classified distinct groups of surgical patients as frail. However, HFRS demonstrated the highest predictive value for adverse surgical outcomes.
Project description:ImportanceLittle is known about the performance of available frailty instruments in estimating patient-relevant outcomes after cardiac surgery.ObjectiveTo examine how well the Johns Hopkins Adjusted Clinical Groups (ACG) frailty indicator, the Hospital Frailty Risk Score (HFRS), and the Preoperative Frailty Index (PFI) estimate long-term patient-centered outcomes after cardiac surgery.Design, setting, and participantsThis retrospective cohort study was conducted in Ontario, Canada, among residents 18 years and older who underwent coronary artery bypass grafting or aortic, mitral or tricuspid valve, or thoracic aorta surgery between October 2008 and March 2017. Long-term care residents, those with discordant surgical encounters, and those receiving dialysis or dependent on a ventilator within 90 days were excluded. Statistical analysis was conducted from July 2021 to January 2022.Main outcomes and measuresThe primary outcome was patient-defined adverse cardiovascular and noncardiovascular events (PACE), defined as the composite of severe stroke, heart failure, long-term care admission, new-onset dialysis, and ventilator dependence. Secondary outcomes included mortality and individual PACE events. The association between frailty and PACE was examined using cause-specific hazard models with death as a competing risk, and the association between frailty and death was examined using Cox models. Areas under the receiver operating characteristic curve (AUROC) were determined over 10 years of follow-up for each frailty instrument.ResultsOf 88 456 patients (22 924 [25.9%] female; mean [SD] age, 66.3 [11.1] years), 14 935 (16.9%) were frail according to ACG criteria, 63 095 (71.3%) according to HFRS, and 76 754 (86.8%) according to PFI. Patients with frailty were more likely to be older, female, and rural residents; to have lower income and multimorbidity; and to undergo urgent surgery. Patients meeting ACG criteria (hazard ratio [HR], 1.66; 95% CI, 1.60-1.71) and those with higher HFRS scores (HR per 1.0-point increment, 1.10; 95% CI, 1.09-1.10) and PFI scores (HR per 0.1-point increment, 1.75; 95% CI, 1.73-1.78) had higher rates of PACE. Similar magnitudes of association were observed for each frailty instrument with death and individual PACE components. The HFRS had the highest AUROC for estimating PACE during the first 2 years and death during the first 4 years, after which the PFI had the highest AUROC.Conclusions and relevanceThese findings could help to tailor the use of frailty instruments by outcome and follow-up duration, thus optimizing preoperative risk stratification, patient-centered decision-making, candidate selection for prehabilitation, and personalized monitoring and health resource planning in patients undergoing cardiac surgery.
Project description:In this study, we performed a retrospective and prospective study of preoperative predictors of the length of stay (LOS) in three groups of surgical patients and conducted a clinical retrospective study of the current research status of preoperative predictors of LOS prolongation in three groups of patients under ERAS (enhanced recovery after surgery) mode, such as patient characteristics and comorbidities. Information such as patients' exercise preferences, exercise time, frequency and duration, footwear, location of knee osteoarthritis, whether there is a past history of knee injury, and smoking and drinking history was collected, and the research data of 312 patients undergoing the three operations were analyzed by SPSS. Meniscal injury-knee arthroscopy sample included a total of 104 people. Surgical sample for anterior cruciate ligament reconstruction included a total of 100 subjects. Knee osteoarthritis-knee replacement surgery sample included 148 people who were divided into two groups in a ratio of 1 : 1: one group used Mailuo Shutong pills during hospitalization (intervention group) and the other group did not (control group). The research conclusions are as follows. Meniscal Knee Arthroscopy. (1) Samples from different causes of injury showed significant differences for all injured sites. (2) Samples with different smoking and drinking histories all showed significant differences for the causes of injury. (3) Exercise hobby, exercise frequency, duration of each exercise and duration of exercise, and warm-up time before exercise all showed positive correlation. Anterior Cruciate Ligament Reconstruction Surgery. (4) Samples from different causes of injury showed significant differences for all the injured sites. (5) Age has a significant negative influence on the wearing of shoes at ordinary times. (6) Exercise hobby: the warm-up time before exercise had a significant negative influence on the injured area. (7) Two groups of analysis items of exercise frequency, exercise duration and exercise duration, preexercise warm-up time, and exercise hobby were typically positively correlated. Total Knee Arthroplasty. (8) There was a significant difference of 0.01 between the hospitalization days of the intervention group and the control group (p < 0.01), and the hospitalization days of the intervention group were significantly lower than those of the control group. These results indicated that Mailuo Shutong pills were of great significance for the treatment of orthopedic patients during the operation period in that it could effectively shorten the hospital stay of all orthopedic patients and strengthen the accelerated rehabilitation. (9) There was a significant positive correlation between the history of knee joint surgery and the use time of Mailuo Shutong pills. (10) There was a markable positive correlation between occupation and sports hobbies, sports time, frequency and duration, and footwear. There was a significant negative correlation between occupation and preexercise warm-up. (11) Exercise time, frequency, and duration have significant positive influence on BMI.
Project description:BackgroundIn Ontario, Canada, nearly all home care patients are assessed with a brief clinical assessment (interRAI Contact Assessment [interRAI CA]) on admission. Our objective was to compare 3 frailty measures that can be operationalized using the interRAI CA.MethodsWe conducted a retrospective cohort study using linked patient-level assessment and administrative data for all Ontario adult (≥ 18 yr) home care patients assessed with the interRAI CA in 2014. We employed multivariable logistic models to compare the Changes in Health, End-stage disease and Signs and Symptoms Scale for the Contact Assessment (CHESS-CA), Assessment Urgency Algorithm (AUA) and the Frailty Index for the Contact Assessment (FI-CA) that was created for this study. Our outcomes of interest were death, hospital admission and emergency department visits within 90 days, and assessor-rated need for comprehensive geriatric assessment (CGA).ResultsIn 2014, there were 228 679 unique adult home care patients in Ontario assessed with the interRAI CA. Controlling for age, sex and health region, being in a higher frailty level defined by any measure increased the likelihood of experiencing adverse outcomes. Among all assessments, CHESS-CA was best suited for predicting death and hospital admission, and either AUA or FI-CA for predicting perceived need for CGA. Previous emergency department visits were more predictive of future visits than frailty. Model fit was independent of whether the assessment was completed over the phone or in person.InterpretationFrailty measures from the interRAI CA identified patients at higher risk for death, hospital admission and perceived need for CGA. In jurisdictions where the CHESS-CA and AUA are already built into the electronic home care platform, such as Ontario, patients identified as high risk should be prioritized for proactive referral and care planning, and may benefit from greater involvement of primary care and other health professionals in the circle of care.
Project description:Frailty is associated with perioperative adverse outcomes, especially for the elderly. This study aimed to assess whether frailty was an independent risk factor of one-year mortality in frail patients after elective orthopedic surgery. In this prospective study, three hundred and thirteen patients aged ≥ 65 years, undergoing elective orthopedic surgery were finally included. Frailty assessed by the Clinical Frailty Score (CFS) before the surgery was present in 29.7% (93/313). Among them, 7.7% of patients (24/313) died at one year after surgery. In multivariate logistic analysis, higher CFS (OR = 2.271, 95% CI= 1.472-3.504) was found to be an independent risk factor of one-year mortality after surgery in elderly orthopedic patients. The area under the receiver operating characteristic curve of the model was 0.897 (95% CI 0.834-0.959). In addition, we found higher Charlson comorbidity index (OR= 1.498, 95% CI = 1.082-2.073) was also a significant risk factor. In conclusion, frailty is associated with increased one-year mortality in elderly patients after elective orthopedic surgery, which should be considered as a routine assessment tool in preoperative practice.
Project description:ImportanceEstimates of weight regain following bariatric surgery vary widely.ObjectiveTo describe weight regain after reaching nadir weight following Roux-en-Y gastric bypass (RYGB) surgery and compare weight regain measures for association with outcomes.Design, setting, and participantsProspective cohort study of 2458 adults who underwent bariatric surgery at 10 hospitals in 6 US cities between March 2006 and April 2009. Assessments were conducted within 30 days' presurgery, at 6 months' postsurgery, and then annually until January 2015. Of the 1703 participants who underwent RYGB surgery, 1406 (83%) were followed up for 5 years or longer and had 5 or more weight measurements (excluding those who died or underwent surgical reversal).ExposuresWeight regain assessed by 5 continuous measures (weight in kilograms, body mass index [BMI], percentage of presurgery weight, percentage of nadir weight, and percentage of maximum weight lost) and 8 dichotomous measures (per established thresholds) were compared in relation to clinical outcomes based on statistical significance, magnitude of association, and model fit.Main outcomes and measuresProgression of diabetes, hyperlipidemia, and hypertension and declines in physical and mental health-related quality of life and satisfaction with surgery.ResultsAmong the 1406 participants who underwent RYGB surgery, the median age was 47 years (25th-75th percentile, 38-55 years) and the median BMI was 46.3 (25th-75th percentile, 42.3-51.8) prior to surgery. Most participants were female (80.3%) and white (85.6%). The median follow-up was 6.6 years (25th-75th percentile, 5.9-7.0 years). The median percentage of maximum weight loss was 37.4% (25th-75th percentile, 31.6%-43.3%) of presurgery weight and occurred a median of 2.0 years after RYGB surgery (25th-75th percentile, 1.0-3.2 years). The rate of weight regain was highest during the first year after reaching nadir weight, but weight regain continued to increase throughout follow-up (range, a median of 9.5% of maximum weight lost [25th-75th percentile, 4.7%-17.2%] to 26.8% of maximum weight lost [25th-75th percentile, 16.7%-41.5%] 1 to 5 years after reaching nadir weight). The percentage of participants who regained weight depended on threshold (eg, 5 years after nadir weight, 43.6% regained ≥5 BMI points; 50.2% regained ≥15% of nadir weight; and 67.3% regained ≥20% of maximum weight lost). Compared with other continuous weight regain measures, the percentage of maximum weight lost had the strongest association and best model fit for all outcomes except hyperlipidemia, which had a slightly stronger association with BMI. Of the dichotomous measures, 20% or greater of maximum weight lost performed better or similarly with most of the outcomes, and was the second best measure for hyperlipidemia (after ≥10 kg of weight) and hypertension (after ≥10% of maximum weight lost).Conclusions and relevanceAmong a large cohort of adults who underwent RYGB surgery, weight regain quantified as percentage of maximum weight lost performed better for association with most clinical outcomes than the alternatives examined. These findings may inform standardizing the measurement of weight regain in studies of bariatric surgery.
Project description:BackgroundAdvances in the treatment of Parkinson's disease (PD) have allowed for improvements in mortality and quality survival, making the management of comorbid conditions of aging, such as osteoarthritis, crucial.ObjectiveTo determine the extent to which PD impacts hospitalization outcomes after an elective orthopedic procedure.MethodsThis retrospective cohort study used data from the National Readmissions Database and included adults ages 40 and above with and without PD. Primary outcomes included length of stay of the index admission, discharge disposition and 30-day readmission. Logistic regression was used to compare the odds of readmission for PD patients compared to non-PD. Clinical conditions associated with readmission were compared between the two groups.ResultsA total of 4,781 subjects with PD and 947,475 subjects without PD met inclusion criteria. Length of stay (LOS) during the index admission was longer for PD patients. PD patients were much more likely to be discharged to inpatient post-acute care (49.3% vs 26.2%) while non-PD subjects were more likely to be discharged home with (31.9% [PD] vs 44.8% [non-PD]) or without home health (18.7% [PD] vs 28.9% [non-PD]). A total of 271 PD patients (5.66%) and 28,079 non-PD patients (2.96%) were readmitted within 30 days following surgery. After adjusting for age, sex, socioeconomic status, expected payer, comorbidities, index admission LOS, year and discharge disposition, PD subjects were 31% more likely to be readmitted than non-PD subjects (AOR 1.31, 1.07-1.62).ConclusionsParkinson's disease patients were readmitted more often than non-PD patients, although the rate of readmission was still low.
Project description:PurposeTo evaluate the clinical applicability of intraoperative predictors for surgical outcomes after gonioscopy-assisted transluminal trabeculotomy (GATT) and microincisional trabeculectomy (MIT).MethodsConsecutive patients with primary, or secondary glaucoma (trauma, aphakic, or status post-retinal surgeries) with uncontrolled IOP>21mm Hg, who were scheduled to undergo GATT or MIT with or without significant cataract surgery, at a tertiary eye centre in East India between September 2021 to March 2023, were included. All surgeries were done by a single surgeon. Blanching and Trypan blue (0.4%) staining after intracameral injection using a 25 canula, were analysed in each video. The extent/pattern of blanching and blue staining in each eye was analysed objectively using an overlay of a circle with 12 sectors and a protractor tool to quantify the degrees or quadrants of blanching/staining. Multivariate regression was used to identify predictors for surgical success or the need for medications after surgery.ResultOf 167 eyes that were included (male: female- 134: 33), 49 eyes and 118 eyes underwent GATT and MIT, respectively, with 81 of 167 eyes undergoing concurrent cataract surgery. All eyes had a significant reduction in the number of medications after surgery. Blanching was seen in 154 of 167 eyes in a mean of 2±1.8 quadrants with 41% of eyes showing a blanching effect in >3 quadrants. Of 99 of 167 eyes where Trypan blue staining was assessed, staining in a venular, diffuse haze, or reticular pattern of staining was seen in 73 eyes, 26 eyes showed blue staining in >2 quadrants, with 16% staining in >3 quadrants. Surgical success was not predicted by the quadrants of blanching, blue staining, or other clinical variables (age, visual field, baseline intraocular pressure, type of surgery). The variables significantly predicting the need for medications included blanch (r = -0.1, p = 0.03), and blue staining (r = -0.1, p = 0.04) in <2 quadrants.ConclusionsBlanching and Trypan blue staining in >2 quadrants after GATT or MIT can serve as surrogate predictors for the need for medications. However more studies are mandated to find predictors for surgical success after GATT or MIT.
Project description:Emerging evidence demonstrates that frailty measures can predict adverse outcomes after cardiac procedures. Our objectives were to examine whether the inclusion of frailty measures adds incremental predictive value to existing surgical risk prediction models in patients undergoing cardiac surgery and to evaluate the reporting and methods of studies that investigated the prediction of frailty measures in cardiology. The inclusion of frailty measures adds incremental predictive value on existing perioperative risk-scoring systems. We systematically searched the EMBASE, MEDLINE, and Web of Science databases for relevant studies. Studies were included according to predefined inclusion criteria. The quality of included studies was appraised using the QUADAS-2 tool. Data were extracted and synthesized according to predefined methods. Twelve studies were included in the analysis. Included studies demonstrated the incremental predictive value of frailty measures on existing surgical risk models for mortality, but the predictive value of frailty measures alone was not consistent across literature. Few studies that investigated the predictive ability of frailty measures reported all important model performance measures. When comparing the predictive value of frailty measures with existing models, few studies reported if the frailty measurement was separately performed from the existing perioperative risk assessment. The addition of frailty measures to the existing perioperative risk models improved the prediction performance for mortality, but the incorporation of frailty assessment into perioperative risk assessment requires further evidence before making health policy recommendations.
Project description:There is a paucity of data on longitudinal seizure outcome of children undergoing epilepsy surgery. All children (n = 132) who underwent resective epilepsy surgery from January 1998 to December 2015 were identified. Relevant clinical, neurophysiological, imaging, surgical and seizure outcome data were extracted. Multivariable logistic regression analysis and Kaplan-Meier survival with Cox proportional hazard modelling were performed. The mean age at surgery was 7.8 years (range 0.2-17.9). 71% were seizure-free at a mean follow up of 5.3 ± 2.7 years. Of those who were seizure-free, 65 patients were able to completely wean off anti- seizure medications successfully. Using survival analysis, the probability of Engel Class I outcome at one year after surgery was 81% (95% confidence interval [CI] 87%-75%). This dropped to 73% at two years (95% CI 81%-65%), 58% at five years (95% CI 67.8%-48%), and 47% at ten years. Proportional hazard modelling showed that the presence of moderate to severe developmental disability (HR 6.5; p = 0.02) and lack of complete resection (HR 0.4; p = 0.02) maintain association as negative predictors of seizure-free outcome. Our study demonstrates favorable long-term seizure control following pediatric epilepsy surgery and highlights important predictors of seizure outcome guiding case selection and counseling of expectations prior to surgery.
