Facilitators and barriers to eliciting physical function goals before and after surgery: A qualitative study with clinicians.

OBJECTIVE: Describe clinicians' perspectives of facilitators and barriers to eliciting physical function goals from patients with multiple chronic conditions pre- and post-surgery. METHODS: Semi-structured qualitative interviews were conducted with clinicians, recruited from an academic medical center, who treat adult patients with multiple chronic conditions. Purposive sampling ensured multiple provider types were represented. Interviews were conducted in person or via web conference and were audio recorded. Findings were summarized using descriptive qualitative content analysis. RESULTS: Of the 12 participating clinicians, 92% were female and 83% specialized in geriatrics. Clinicians had a mean of 10.7 (min-max: 1-30) years of experience. Key facilitators to goal-setting conversations were sufficient time, familial support, and patient cognitive ability. Barriers included lack of time, lack of training, patient challenges in choosing realistic and specific actionable goals, emotional barriers, and cognitive challenges. CONCLUSION: Some facilitators and barriers are modifiable, including time, inclusion of family members in the clinical encounter, and clinician training to enable actionable goal setting. These results highlight areas for intervention to facilitate goal elicitation for physical function in clinical care settings. PRACTICE IMPLICATIONS: Clinicians should be aware of the barriers impacting eliciting goals. Healthcare organizations could consider providing effective goal elicitation training and tools to facilitate goal setting conversation.

Geriatric Preoperative Optimization: A Review.

This review summarizes best practices for the perioperative care of older adults as recommended by the American Geriatrics Society, American Society of Anesthesiologists, and American College of Surgeons, with practical implementation strategies that can be readily implemented in busy preoperative or primary care clinics. In addition to traditional cardiopulmonary screening, older patients should undergo a comprehensive geriatric assessment. Rapid screening tools such as the Mini-Cog, Patient Health Questionnaire-2, and Frail Non-Disabled Survey and Clinical Frailty Scale, can be performed by multiple provider types and allow for quick, accurate assessments of cognition, functional status, and frailty screening. To assess polypharmacy, online resources can help providers identify and safely taper high-risk medications. Based on preoperative assessment findings, providers can recommend targeted prehabilitation, rehabilitation, medication management, care coordination, and/or delirium prevention interventions to improve postoperative outcomes for older surgical patients. Structured goals of care discussions utilizing the question-prompt list ensures that older patients have a realistic understanding of their surgery, risks, and recovery. This preoperative workup, combined with engaging with family members and interdisciplinary teams, can improve postoperative outcomes.

A Processed Electroencephalogram-Based Brain Anesthetic Resistance Index Is Associated With Postoperative Delirium in Older Adults: A Dual Center Study.

BACKGROUND: Some older adults show exaggerated responses to drugs that act on the brain. The brain's response to anesthetic drugs is often measured clinically by processed electroencephalogram (EEG) indices. Thus, we developed a processed EEG-based measure of the brain's resistance to volatile anesthetics and hypothesized that low scores on it would be associated with postoperative delirium risk. METHODS: We defined the Duke Anesthesia Resistance Scale (DARS) as the average bispectral index (BIS) divided by the quantity (2.5 minus the average age-adjusted end-tidal minimum alveolar concentration [aaMAC] inhaled anesthetic fraction). The relationship between DARS and postoperative delirium was analyzed in 139 older surgical patients (age ≥65) from Duke University Medical Center (n = 69) and Mt Sinai Medical Center (n = 70). Delirium was assessed by geriatrician interview at Duke, and by research staff utilizing the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) instrument at Mt Sinai. We examined the relationship between DARS and delirium and used the Youden index to identify an optimal low DARS threshold (for delirium risk), and its associated 95% bootstrap confidence bounds. We used multivariable logistic regression to examine the relationship between low DARS and delirium risk. RESULTS: The relationship between DARS and delirium risk was nonlinear, with higher delirium risk at low DARS scores. A DARS threshold of 28.755 maximized the Youden index for the association between low DARS and delirium, with bootstrap 95% confidence bounds of 26.18 and 29.80. A low DARS (<28.755) was associated with increased delirium risk in multivariable models adjusting for site (odds ratio [OR] [95% confidence interval {CI}] = 4.30 [1.89-10.01]; P = .001), or site-plus-patient risk factors (OR [95% CI] = 3.79 [1.63-9.10]; P = .003). These associations with postoperative delirium risk remained significant when using the 95% bootstrap confidence bounds for the low DARS threshold (P < .05 for all). Further, a low DARS (<28.755) was associated with delirium risk after accounting for opioid, midazolam, propofol, phenylephrine, and ketamine dosage as well as site (OR [95% CI] = 4.21 [1.80-10.16]; P = .002). This association between low DARS and postoperative delirium risk after controlling for these other medications remained significant (P < .05) when using either the lower or the upper 95% bootstrap confidence bounds for the low DARS threshold. CONCLUSIONS: These results demonstrate that an intraoperative processed EEG-based measure of lower brain anesthetic resistance (ie, low DARS) is independently associated with increased postoperative delirium risk in older surgical patients.

Rationale and Design for a Higher (Dairy) Protein Weight Loss Intervention That Promotes Muscle Quality and Bone Health in Older Adults with Obesity: A Randomized, Controlled Pilot Study.

In contrast to recommendations for young and middle-aged adults, intentional weight loss among older adults remains controversial and is inconsistently advised. Recent research suggests that a higher protein diet can mitigate loss of lean mass during periods of intentional weight loss among older adults with obesity; however, the effects of intentional weight loss on skeletal muscle and bone are not fully understood. The Dairy in the Diet Yields New Approaches for Muscle Optimization (DDYNAMO) trial is a 6-month, randomized, controlled pilot study assessing the effects of combining regular, generous intakes of high quality protein (30 g/meal; primarily from dairy) with caloric restriction (-500kcal/d) and low-intensity resistance exercise (30 min/3 times per week) on muscle quality, muscle composition, bone mineral density in men and women aged ≥60 years with obesity and mild to moderate functional impairment (Short Physical Performance Battery [SPPB] score ≥4 to ≤10). Participants will be re-assessed at 18 months to evaluate weight maintenance, bone mineral density, physical function, and other secondary measures. ClinicalTrials.gov Identifier: NCT02437643.

Perioperative Optimization of Senior Health in Spine Surgery: Impact on Postoperative Delirium.

BACKGROUND: Delirium is a common postoperative complication in geriatric patients, especially in those with underlying risk factors. Multicomponent nonpharmacologic interventions are effective in preventing delirium, however, implementation of these measures is variable in perioperative care. The aim of our study was to assess the impact of our Perioperative Optimization of Senior Health Program (UTSW POSH) on postoperative delirium in patients undergoing elective spine surgery. STUDY DESIGN: The UTSW POSH program is an interdisciplinary perioperative initiative involving geriatrics, surgery, and anesthesiology to improve care for high-risk geriatric patients undergoing elective spine surgery. Preoperatively, enrolled patients (n = 147) were referred for a geriatric assessment and optimization for surgery. Postoperatively, patients were co-managed by the primary surgical team and the geriatrics consult service. UTSW POSH patients were retrospectively compared to a matched historical control group (n = 177) treated with usual care. Main outcomes included postoperative delirium and provider recognition of delirium. RESULTS: UTSW POSH patients were significantly older (75.5 vs 71.5 years; P < .001), had more comorbidities (8.02 vs 6.58; P < .001), and were more likely to undergo pelvic fixation (36.1% vs 17.5%; P < .001). The incidence of postoperative delirium was lower in the UTSW POSH group compared to historical controls, although not statistically significant (11.6% vs 19.2%; P = .065). Delirium was significantly lower in patients who underwent complex spine surgery (≥4 levels of vertebral fusion; N = 106) in the UTSW POSH group (11.7% vs 28.9%, P = .03). There was a threefold increase in the recognition of postoperative delirium by providers after program implementation, (76.5% vs 23.5%; P = .001). CONCLUSIONS: This study suggests that interdisciplinary care for high-risk geriatric patients undergoing elective spine surgery may reduce the incidence of postoperative delirium and increase provider recognition of delirium. The benefit may be greater for those undergoing larger procedures.

Perioperative Optimization of Senior Health (POSH): A Descriptive Analysis of Cancelled Surgery.

BACKGROUND: Geriatric collaborative care models improve postoperative outcomes for older adults. However, there are limited data exploring how preoperative geriatric assessment may affect surgical cancellations. METHODS: This is a single-center retrospective cohort analysis. Patients enrolled in the Perioperative Optimization of Senior Health (POSH) program from 2011 to 2016 were included. POSH is a collaborative care model between geriatrics, surgery, and anesthesiology. Baseline demographic and medical data were collected during the POSH pre-op appointment. Patients who attended a POSH pre-op visit but did not have surgery were identified, and a chart review was performed to identify reasons for surgical cancellation. Baseline characteristics of patients who did and did not undergo surgery were compared. RESULTS: Of 449 eligible POSH referrals within the study period, 33 (7.3%) did not proceed to surgery; cancellation rates within the POSH program were lower than institutional cancellation rates for adults over age 65 who did not participate in POSH. Patients who did not have surgery were significantly older, more likely to have functional limitations, and had higher rates of several comorbidities compared with those who proceeded to surgery (P < 0.05). Reasons for surgical cancellations included a similar number of patient- and provider-driven causes. CONCLUSIONS: Many reasons for surgical cancellation were related to potentially modifiable factors, such as changes in goals of care or concerns about rehabilitation, emphasizing the importance of shared decision-making in elective surgery for older adults. These results highlight the important role geriatric collaborative care can offer to older adults with complex needs.

Assessments of frailty in bladder cancer.

BACKGROUND AND AIMS: The incidence of frailty is increasing as the population ages, which has important clinical implications given the associations between frailty and poor outcomes in the bladder cancer population. Due to a multi-organ system decline and decreased physiologic reserve, frail patients are vulnerable to stressors of disease and have poorer mortality and morbidity rates than their nonfrail peers. The association between frailty and poor outcomes has been documented across multiple populations, including radical cystectomy, creating a need for frailty assessments to be used preoperatively for risk stratification. We aim to provide a review of the common frailty assessments and their relevance to radical cystectomy patients. FINDINGS: A variety of assessments for frailty exist, from short screening items to comprehensive geriatric assessments. The syndrome spans multiple organ systems, as do the potential diagnostic instruments. Some instruments are less practical for use in clinical practice by urologists, such as the Canadian Study of Health and Aging Frailty Index and Comprehensive Geriatric Assessment. The tool most studied in radical cystectomy is the modified Frailty Index, associated with high grade complications and 30-days mortality. Frailty often coexists with malnutrition and sarcopenia, stressing the importance of screening for and addressing these syndromes to improve patient's perioperative outcomes. CONCLUSIONS: There is no universally agreed upon frailty assessment, but the most studied in radical cystectomy is the modified Frailty Index, providing valuable data with which to counsel patients preoperatively. Alterations in immune phenotypes provide potential future diagnostic biomarkers for frailty.

Delaying Elective Surgery in Geriatric Patients: An Opportunity for Preoperative Optimization.

Deciding whether to pursue elective surgery is a complex process for older adults. Comprehensive geriatric assessment (CGA) can help refine estimates of benefits and risks, at times leading to a delay of surgery to optimize surgical readiness. We describe a cohort of geriatric patients who were evaluated in anticipation of elective abdominal surgery and whose procedures were delayed for any reason. Themes behind the reasons for delay are described, and a holistic framework to guide preoperative discussion is suggested.

Impact on cardiometabolic risk of a weight loss intervention with higher protein from lean red meat: Combined results of 2 randomized controlled trials in obese middle-aged and older adults.

BACKGROUND: The recognized benefits of a higher protein diet on muscle mass and strength in older adults are tempered by concerns of the potentially negative cardiometabolic impact of dietary sources of animal protein. OBJECTIVE: The aim of this study was to explore the cardiometabolic impact of 2 weight reduction diets: a higher protein diet, providing balanced portions of lean beef and pork throughout the day, vs. a diet following the Recommended Daily Allowance level of protein in obese middle-aged and older adults. METHODS: Data from Measuring Eating, Activity and Strength: Understanding the Response-Using Protein and Protein Optimization in Women Enables Results-Using Protein were combined for the present analysis. Subjects were randomly assigned to a 6-month weight loss diet (500 kcal deficit) and prescribed a Recommended Daily Allowance level of protein (0.8 g protein/kg BW), control group, or a higher level of protein (1.2 g protein/kg BW), protein group. For the protein group, lean, high-quality protein was evenly distributed between meals or balanced throughout the day (30 g protein/meal). The following cardiometabolic markers were quantified by nuclear magnetic resonance spectroscopy: lipids, lipoproteins, GlycA, trimethylamine-N-oxide, betaine, branched-chain amino acids, and lipoprotein insulin resistance index scores. RESULTS: In both groups (control [n = 27] and protein [n = 53]), there were significant (P ≤ .05) changes from baseline in weight loss (-6.2% and -7.2%), distance walked (+53.1 and +75.0 meters), and fasting plasma glucose (-7.5 and -6.2 mg/dL), respectively. At endpoint, protein group had significantly (P ≤ .05) lower triglycerides (-17.3 mg/dL), large very-low-density lipoprotein particle concentration (VLDL-P; -1.2 nmol/L), total low-density lipoprotein particle concentration (LDL-P; -67.8 nmol/L), small LDL-P (-59.4 nmol/L) and lipoprotein insulin resistance index (-5.9), whereas control group had significantly (P ≤ .05) lower GlycA (-13.1 µmol/L), total VLDL-P (-7.9 nmol/L), and small VLDL-P (-7.0 nmol/L). Differences between groups were observed for small VLDL-P (P = .02) and protein intake (P < .0001). CONCLUSIONS: These findings suggest that a hypocaloric diet with either traditional (0.8 g/kg BW/d) or higher protein (1.2 g/kg BW/d; predominantly from lean red meat) content improves risk markers of cardiovascular disease and type II diabetes in obese middle-aged and older adults. Both diets were also associated with improved physical function, and neither had an adverse impact on cardiometabolic outcomes.

Influence of Weight Reduction and Enhanced Protein Intake on Biomarkers of Inflammation in Older Adults with Obesity.

Both aging and obesity are associated with increased levels of pro-inflammatory metabolites, while weight reduction is associated with improvements in inflammatory status. However, few studies have explored the response of key inflammatory markers to the combined settings of weight reduction in an aging population. There are also few studies that have investigated the potential impact of diet composition on inflammatory marker responses. In the MEASUR-UP trial, we evaluated changes in baseline levels of inflammatory markers with post-study levels for a traditional weight loss control group versus a group with generous, balanced protein intake. In this 6-month randomized controlled trial (RCT), older (≥60 years) adults with obesity (BMI ≥30 kg/m2) and Short Physical Performance Battery (SPPB) score of 4-10 were randomly assigned to either a traditional weight loss regimen, (Control, n = 14) or one with higher protein intake (≥30 g) at each meal (Protein, n = 25). All participants were prescribed a hypo-caloric diet and attended weekly support and education groups and weigh-ins. Protein participants consumed ≥30 g of high-quality protein/meal, including lean and extra lean beef provided to them for two of the three meals per day. Protein intakes were 0.8 and 1.2 g/kg/day for Control and Protein, respectively. Adiponectin, leptin, C-reactive protein (hs-CRP), tumor necrosis factor-α (TNF-α), interleukin-1 (IL-1), IL-6, IL-8, serum amyloid A (SAA), vascular cell adhesion molecule-1 (VCAM-1), intercellular adhesion molecule-1 (ICAM-1), and glycated serum protein (GSP) levels were measured at 0 and 6-month time points. At the 6-month endpoint, there was significant weight loss and decrease in BMI in both the Control (-4.8 ± 8.2 kg; -2.3 ± 2.4 kg/m2; p = 0.05) and Protein (-8.7 ± 7.4 kg; -2.9 ± 2.3 kg/m2; p < 0.0001) groups. SPPB scores improved in both arms, with a superior functional response in Protein (p < 0.05). Body fat (%) at baseline was positively correlated with leptin, hs-CRP, VCAM-1, ICAM-1, and GSP. Several markers of inflammation responded to the Protein group: leptin (p < 0.001), hs-CRP (p < 0.01), and ICAM-1 (p < 0.01) were decreased and adiponectin increased (p < 0.01). There were no significant changes in any inflammatory markers in the Control arm. In the between group comparison, only adiponectin trended towards a group difference (more improvement in Protein; p < 0.07). Our findings in the MEASUR-UP trial show that a weight loss diet with enhanced protein intake is comparable to an adequate protein diet in terms of weight loss success and that it can lead to improvements in inflammatory status, specifically for adiponectin, leptin, hs-CRP, and ICAM-1. These findings are important given current recommendations for higher protein intakes in older adults and justify the additional study of the inflammatory impact of an enhanced protein diet. (ClinicalTrials.gov identifier: NCT01715753).

Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.

BACKGROUND: Pythia is an automated, clinically curated surgical data pipeline and repository housing all surgical patient electronic health record (EHR) data from a large, quaternary, multisite health institute for data science initiatives. In an effort to better identify high-risk surgical patients from complex data, a machine learning project trained on Pythia was built to predict postoperative complication risk. METHODS AND FINDINGS: A curated data repository of surgical outcomes was created using automated SQL and R code that extracted and processed patient clinical and surgical data across 37 million clinical encounters from the EHRs. A total of 194 clinical features including patient demographics (e.g., age, sex, race), smoking status, medications, comorbidities, procedure information, and proxies for surgical complexity were constructed and aggregated. A cohort of 66,370 patients that had undergone 99,755 invasive procedural encounters between January 1, 2014, and January 31, 2017, was studied further for the purpose of predicting postoperative complications. The average complication and 30-day postoperative mortality rates of this cohort were 16.0% and 0.51%, respectively. Least absolute shrinkage and selection operator (lasso) penalized logistic regression, random forest models, and extreme gradient boosted decision trees were trained on this surgical cohort with cross-validation on 14 specific postoperative outcome groupings. Resulting models had area under the receiver operator characteristic curve (AUC) values ranging between 0.747 and 0.924, calculated on an out-of-sample test set from the last 5 months of data. Lasso penalized regression was identified as a high-performing model, providing clinically interpretable actionable insights. Highest and lowest performing lasso models predicted postoperative shock and genitourinary outcomes with AUCs of 0.924 (95% CI: 0.901, 0.946) and 0.780 (95% CI: 0.752, 0.810), respectively. A calculator requiring input of 9 data fields was created to produce a risk assessment for the 14 groupings of postoperative outcomes. A high-risk threshold (15% risk of any complication) was determined to identify high-risk surgical patients. The model sensitivity was 76%, with a specificity of 76%. Compared to heuristics that identify high-risk patients developed by clinical experts and the ACS NSQIP calculator, this tool performed superiorly, providing an improved approach for clinicians to estimate postoperative risk for patients. Limitations of this study include the missingness of data that were removed for analysis. CONCLUSIONS: Extracting and curating a large, local institution's EHR data for machine learning purposes resulted in models with strong predictive performance. These models can be used in clinical settings as decision support tools for identification of high-risk patients as well as patient evaluation and care management. Further work is necessary to evaluate the impact of the Pythia risk calculator within the clinical workflow on postoperative outcomes and to optimize this data flow for future machine learning efforts.

Markers of Renal Function in Older Adults Completing a Higher Protein Obesity Intervention and One Year Later: Findings from the MEASUR-UP Trial.

Increases in rates of obesity in the older population are hastening the development of chronic illnesses, including chronic kidney disease (CKD). However, obesity reduction in older adults is besought with concerns about the long-term benefit/risk, especially regarding loss of muscle mass and its impact on function. Higher protein intakes have been advocated to help offset the tendency for loss of muscle during weight reduction but this raises concerns about possible negative effects on older kidneys. We assessed markers of renal function in venous blood samples collected during a six-month randomized controlled weight loss trial of higher protein intake in obese (n = 67; BMI ≥ 30 kg/m2) older (≥60 years) adults with physical frailty and age-normal renal status (glomerular filtration rate [GFR] ≥ 45); the Control diet (0.8 g protein/kg body weight/day; n = 21) was compared to a protein-enhanced (1.2 g/g protein/kg body weight/day with 30 g protein/meal; n = 41; Protein) diet. Results showed no group effect of the Protein treatment on markers of renal function (estimated GFR, blood urea nitrogen, and creatinine), either upon intervention completion or one year later. Our findings align with literature support for the benefits of higher protein in the diets of older individuals during obesity reduction and help to confirm the safety of moderate increases in protein intake during weight loss in this population.

Preoperative Cognitive Impairment As a Predictor of Postoperative Outcomes in a Collaborative Care Model.

OBJECTIVES: To compare postoperative outcomes of individuals with and without cognitive impairment enrolled in the Perioperative Optimization of Senior Health (POSH) program at Duke University, a comanagement model involving surgery, anesthesia, and geriatrics. DESIGN: Retrospective analysis of individuals enrolled in a quality improvement program. SETTING: Tertiary academic center. PARTICIPANTS: Older adults undergoing surgery and referred to POSH (N = 157). MEASUREMENTS: Cognitive impairment was defined as a score less than 25 out of 30 (adjusted for education) on the St. Louis University Mental Status (SLUMS) Examination. Median length of stay (LOS), mean number of postoperative complications, rates of postoperative delirium (POD, %), 30-day readmissions (%), and discharge to home (%) were compared using bivariate analysis. RESULTS: Seventy percent of participants met criteria for cognitive impairment (mean SLUMS score 20.3 for those with cognitive impairment and 27.7 for those without). Participants with and without cognitive impairment did not significantly differ in demographic characteristics, number of medications (including anticholinergics and benzodiazepines), or burden of comorbidities. Participants with and without cognitive impairment had similar LOS (P = .99), cumulative number of complications (P = .70), and 30-day readmission (P = .20). POD was more common in those with cognitive impairment (31% vs 24%), but the difference was not significant (P = .34). Participants without cognitive impairment had higher rates of discharge to home (80.4% vs 65.1%, P = .05). CONCLUSION: Older adults with and without cognitive impairment referred to the POSH program fared similarly on most postoperative outcomes. Individuals with cognitive impairment may benefit from perioperative geriatric comanagement. Questions remain regarding the validity of available measures of cognition in the preoperative period.

Association of Integrated Care Coordination With Postsurgical Outcomes in High-Risk Older Adults: The Perioperative Optimization of Senior Health (POSH) Initiative.

Importance: Older adults undergoing elective surgery experience higher rates of preventable postoperative complications than younger patients. Objective: To assess clinical outcomes for older adults undergoing elective abdominal surgery via a collaborative intervention by surgery, geriatrics, and anesthesia focused on perioperative health optimization. Design, Setting, and Participants: Perioperative Optimization of Senior Health (POSH) is a quality improvement initiative with prospective data collection. Participants in an existing geriatrics-based clinic within a single-site academic health center were included if they were at high risk for complications (ie, older than 85 years or older than 65 years with cognitive impairment, recent weight loss, multimorbidity, or polypharmacy) undergoing elective abdominal surgery. Outcomes were compared with a control group of patients older than 65 years who underwent similar surgeries by the same group of general surgeons immediately before implementation of POSH. Main Outcomes and Measures: Primary outcomes included length of stay, 7- and 30-day readmissions, and level of care at discharge. Secondary outcomes were delirium and other major postoperative complications. Outcomes data were derived from institutional databases linked with electronic health records and billing data sets. Results: One hundred eighty-three POSH patients were compared with 143 patients in the control group. On average, patients in the POSH group were older compared with those in the control group (75.6 vs 71.9 years; P < .001; 95% CI, 2.27 to 5.19) and had more chronic conditions (10.6 vs 8.5; P = .001; 95% CI, 0.86 to 3.35). Median length of stay was shorter among POSH patients (4 days vs 6 days; P < .001; 95% CI, -1.06 to -4.21). Patients in the POSH group had lower readmission rates at 7 days (5 of 180 [2.8%] vs 14 of 142 [9.9%]; P = .007; 95% CI, 0.09 to 0.74) and 30 days (14 of 180 [7.8%] vs 26 of 142 [18.3%]; P = .004; 95% CI, 0.19 to 0.75) and were more likely to be discharged home with self-care (114 of 183 [62.3%] vs 73 of 143 [51.1%]; P = .04; 95% CI, 1.02 to 2.47). Patients in the POSH group experienced fewer mean number of complications (0.9 vs 1.4; P < .001; 95% CI, -0.13 to -0.89) despite higher rates of documented delirium (52 of 183 [28.4%] vs 8 of 143 [5.6%]; P < .001; 95% CI, 3.06 to 14.65). A greater proportion of POSH patients underwent laparoscopic procedures (92 of 183 [50%] vs 55 of 143 [38.5%]; P = .001; 95% CI, 1.04 to 2.52). Tests for interactions between POSH patients and procedure type were insignificant for all outcomes. Conclusions and Relevance: Despite higher mean age and morbidity burden, older adults who participated in an interdisciplinary perioperative care intervention had fewer complications, shorter hospitalizations, more frequent discharge to home, and fewer readmissions than a comparison group.

Preoperative Screening.

Older adults undergoing elective surgical procedures suffer higher rates of morbidity and mortality than younger patients. A geriatric-focused preoperative evaluation can identify risk factors for complications and opportunities for health optimization and care coordination. Key components of a geriatric preoperative evaluation include (1) assessments of function, mobility, cognition, and mental health; (2) reviews of medical conditions and medications; and (3) discussion of risks, preferences, and goals of care. A geriatric-focused, team-based approach can improve surgical outcomes and patient experience.

Physical Activity Trackers: Promising Tools to Promote Resilience in Older Surgical Patients.

OBJECTIVES: Impending surgery presents a high risk for older adults given their vulnerability to adverse outcomes. New approaches to peri-operative care bring together surgeons, geriatricians, and other Multidisciplinary specialties to co-manage the geriatric surgical patient. However, few have incorporated interventions to promote physical activity (PA) throughout this period. We describe findings from two quality improvement (QI) initiatives that adopted the use of PA trackers to monitor and promote PA during the peri-operative period. METHODS: QI project within Perioperative Optimization of Senior Health (POSH) clinic at two medical centers (Duke and Durham Veterans Healthcare System (VA)) in Durham, North Carolina. Participants included 38 adults, ages 65+. Participants from POSH-at-Duke received PA trackers with one-time bundled advice from the provider team on nutrition, activity, pain management, medications and other relevant education prior to surgery. Participants from POSH-at-VA received the same one time bundled advice in addition to a visit with an exercise health coach who provided PA guidance followed by weekly PA telephone counseling throughout entire peri-operative period to 4-weeks post-surgery. Primary outcome was daily step counts. RESULTS: Ninety three percent of participants approached agreed to use PA trackers. POSH-at-Duke had mean daily step counts of 3,951 at baseline, 4,437 two days prior to surgery, and 1,838 at 4-week post-operative visit as opposed to POSH-at-VA with 2,063 steps at baseline, 5,452 two days prior to surgery, and 4,236 at 4-week post-operative visit, p=0.049 for trajectory differences. CONCLUSION: PA trackers coupled with appropriate continuous PA counseling has a potential utility in promoting resilience in the geriatric surgical candidate.