Citations

Background: Cardiac Rehabilitation (CR) is an effective but highly underutilized treatment for heart disease. Prior studies have demonstrated that the use of strategies such as systematic referral (as part of an order set that does not depend on physician initiative or memory, usually with an opt-out option), liaison facilitated referral (a specific staff member who discusses the program, encourages attendance, and facilitates referral), an early appointment (< 2 weeks), and telephone appointment reminder calls can all improved enrollment rates. However, it is unclear how frequently these strategies are utilized across the United States, how often CR programs monitor their participation rates, and how often quality improvement (QI) projects designed to improve participation rates are performed. Methods: We surveyed all CR program directors in the American Association of Cardiovascular and Pulmonary Rehabilitation’s (AACVPR) database. We assessed basic program features, use of systematic referral, liaison facilitated referral, early appointments, and telephone reminder calls and QI projects. We also assessed self-reported referral, enrollment, and completion rates. Results: Response rate was 36% (290/812). Non-response bias analysis showed reasonable survey representativeness. Over the past 5 years, 49% of programs measured hospital referral, 21% office/clinic referral, 71% program enrollment, and 74% program completion rates. Self-reported rates (interquartile range) were 68 [32 to 90]% for hospital referral, 35 [15 to 60]% for office/clinic referral, 70[46 to 80]% for program enrollment, and 75[62 to 82]% for program completion. Programs reported utilizing a hospital-based systematic referral, liaison facilitated referral, or inpatient CR program 64%, 68%, and 60% of the time, respectively. Early appointments (< 2 weeks) were utilized by 35% and consistent phone call appointment reminders were utilized by 50%. Over the past 5 years, the percent or programs performing QI projects were 62% for hospital referral, 42% for clinic referral, 60% for program enrollment, and 57% for program completion. Measurement of participation rates was highly correlated with performing QI projects (p < 0.0001.) Conclusions: Although programs are aware of participation rate gaps, the monitoring of participation rates is suboptimal, quality improvement initiatives are infrequent, and proven strategies for increasing patient participation are inconsistently utilized. Awareness in outpatient clinical settings is particularly low. These issues likely contribute to the national CR participation gap and may prove to be useful targets for national QI initiatives.

Background : Studies have shown an association between obesity and total mortality in patients with and without coronary artery disease. Less is known regarding the impact of obesity after cardiac arrest. Obese survivors of ventricular fibrillation (VF) out-of-hospital cardiac arrest (OHCA) may have worse outcomes than nonobese patients due to resuscitation challenges, long-term risks of cardiovascular disease, and other comorbidities. Methods : All patients who presented with a VF OHCA in Rochester Minnesota from November 1990-September 2006 were included. Patients were classified by weight (BMI <25, 25–30, >30). ICD shocks for VF/VT were determined by review of subsequent device interrogations. Results : 226 patients (age 63.7±13.5) were treated for VF OHCA with an average call-to-shock time of 6.3±1.8 minutes. 99 patients (44%) survived to hospital discharge with neurologic recovery. Data to calculate BMI were available in 213(95%). There was no difference between the relative distribution of body weight between the hospital survivors [<25(32%), 25–30(37%), >30(31%)] and nonsurvivors [<25(32%), 25–30(44%), >30(28%)], p=0.711. There was no difference in ICD implantation rates between weight groups (p=0.251). The patients were followed for an average of 5.8±4.4 years. The 5-year survival was 80±5%. 5-year survival was lower in underweight/normal patients [<25, 71% (63–79) compared to heavier patients (25–30:88% (82–94), p=0.001]. The survival difference persisted after adjustment for age (p=0.02). Malignancy was the most common cause of death in the underweight group. The 5-year survival free of ICD shocks was 61±7% with no weight-based difference in shocks. Conclusion : There was no apparent weight-based influence on resuscitation survival after VF OHCA. Patients who are under to normal weight had a lower long-term survival and represent a high-risk population primarily due to noncardiac diseases.

Introduction : Obesity is a common risk factor in cardiac rehabilitation (CR), yet many CR patients do not realize significant weight loss, despite engaging in regular exercise training while in CR. Hypothesis : We hypothesized that standard CR would demonstrate favorable body composition (BC) changes even in the absence of weight loss and sought to measure the performance characteristics of weight loss to predict BC changes. Methods : We included consecutive patients enrolled in early outpatient CR who underwent air displacement plethysmography with measurements of height, weight, and waist circumference at initiation and completion of CR. We calculated the accuracy of weight loss to identify significant improvements in BC. Results : Data from 112 patients were available for analysis; mean age 60±12 yr., 76% male, mean body mass index (BMI) 30.2±5.3 kg/m 2 . The indication for CR was myocardial infarction (n=33), percutaneous coronary intervention (n=29), coronary artery bypass or valve surgery (n=45), and heart transplant (n=5). Repeat testing occurred after a median of 81 days and 21 phase II CR sessions. There was no change in BMI (-0.53±1.3 kg/m 2 , p=0.43) and weight (-1.6±4.0 kg, p=0.51). Fat mass showed a borderline significant decrease of 2.9±3.9 kg (p=0.08). However, BC improved significantly as measured by body fat % (-2.5±3.2%, p=0.03) and waist circumference (-4.6±5.2 cm; p=0.01). There was a correlation between weight loss and fat mass loss (r=0.85, p=0.0001, positive predictive value=0.94), and % fat change (r=0.67, p=0.0001, positive predictive value=0.91). See table 1. However, the negative predictive value to detect no fat change for patients who did not lose weight was low (0.49, when assessed by % body fat loss, and 0.57, when assessed by fat mass loss). Among patients who did not lose weight, 29 (51%) had a greater than 1% body fat loss. Conclusions : The diagnostic performance of weight change to predict favorable BC changes is poor and highlights the potential utility of BC measurements in the CR setting. Table. Diagnostic Characteristics of Weight Loss as a Predictor of Improvements in Body Composition Weight Loss (kg) Body Fat % Loss ≤ 1% Fat Mass Loss (kg) > 1kg > 1% ≤ 1kg > 1kg 49 5 51 3 ≤ 1kg or gain 29 28 25 33 Sensitivity 0.63 0.67 Specificity 0.85 0.92 PPV * 0.91 0.94 NPV ** 0.49 0.57 * PPV = Positive Predictive Valve, ** NPV = Negative Predictive Value

P90 Background and Methods:While only a minority of the population follows a low fat diet and does daily physical activity, it is unclear how much of the population is trying to improve these lifestyle habits. We carried out a telephone survey of 1232 adults, >20 years of age, from Olmsted County, MN to assess their attempts at improving their dietary and exercise habits to lower their risk of developing heart disease and stroke. Results: Fifty-nine percent of respondents reported making attempts to improve exercise habits, 71% reported attempts to improve their eating habits, and 50% reported trying to improve both habits. In all, 80% reported trying to improve exercise and/or dietary habits. Of those trying to change exercise habits, 69% reported at least some physical activity on a daily basis (Pearson correlation = 0.34). Of those attempting to change dietary habits, 31% reported eating at least five servings of fruits and vegetables each day (Pearson correlation = 0.14). After multivariate adjustment, attempts to change diet or exercise were highest in persons trying to lose or maintain weight, and persons who reported having received previous physician advice to change diet and exercise habits. Conclusions: The majority of people in Olmsted County, MN are attempting to change their exercise and dietary habits to reduce their risk of coronary heart disease and stroke. Still, only a minority are meeting recommended dietary and physical activity goals. Since most people are in the action phase of exercise and dietary behavioral change, health promotion messages should include information on how best to improve and maintain these health habits. Furthermore, since report of receiving physician advice is correlated with attempts to change lifestyle habits and since only 44% of the population reports receiving such advice, there is an opportunity for health care providers to impact their patients lives by advising them on how to make improvements in their dietary and exercise habits.

Background The COVID-19 pandemic has led to a spike in deleterious mental health. This dual-center retrospective cross-sectional study assessed the prevalence of depression in young adults during this pandemic and explored its association with various physical fitness measures. Methods This study enrolled 12,889 (80% female) young adults (mean age 20 ± 1) who performed a National Student Physical Fitness battery from December 1st, 2019, to January 20th, 2020, and completed a questionnaire including Beck’s Depression Inventory in May 2020. Independent associations between prior physical fitness and depression during the pandemic were assessed using multivariable linear and binary logistic regressions accordingly, covariates including age, dwelling location, economic level, smoking, alcohol, living status, weight change, and exercise volume during the pandemic. Sex- and baseline stress-stratified analyses were performed. Results Of the study population 13.9% of men and 15.0% of women sampled qualified for a diagnosis of depression. After multivariable adjustment, anaerobic (mean change 95% CI −3.3 [−4.8 to 1.8]) aerobic (−1.5 [−2.64 to −0.5]), explosive (−1.64 [−2.7 to −0.6]) and muscular (−1.7 [−3.0 to −0.5]) fitness were independently and inversely associated with depression for the overall population. These remained consistent after sex- and baseline stress-stratification. In binary logistic regression, the combined participants with moderate, high or excellent fitness also showed a much lower risk compared to those least fit in anaerobic (odd ratio (OR) 95% CI 0.68 [0.55–0.82]), aerobic (0.80 [0.68–0.91]), explosive (0.72 [0.61–0.82]), and muscular (0.66 [0.57–0.75]) fitness. Conclusions These findings suggest that prior physical fitness may be inversely associated with depression in young adults during a pandemic.

Abstract Background: The coronavirus disease-2019 (COVID-19) has resulted in nationwide lockdowns, cessation of school and work, and social distancing. Reducing the negative impacts, such as weight-gain, has garnered global attention.Methods: In this dual-center retrospective observational study of 12,889 students (aged 18-20), who performed a national student physical fitness battery between December 1, 2019, to January 20, 2020, and completed a follow-up online questionnaire beginning on May 1, 2020, and ending on May 23, 2020, and examined the associations between weight-gain and COVID-19 induced stress, depression and self-reported physical activity, dietary habits and sedentary time. Results: Participants gained an average of 2.6 kg (95% CI: 2.0 to 3.2 kg) for males and 2.1 kg (1.9 to 2.4 kg) for females. An increase in overweight and obese individuals according to Asian cut-off points as a demographic percentage by 4.5% and 2.7% and 4.8% and 3.4% in males and females respectively (P<0.001). Weight change was associated with sedentary time, COVID-19 induced stress, and depression score. Conclusion: These findings suggest that limiting sedentary time during lockdowns and strategies aimed t improve lifestyle habits and psychological health may be warranted to mitigate weight-gain during the pandemic.Registration: Registered with ChiCTR, registration no.: ChiCTR2000033514

Abstract The COVID-19 (coronavirus disease-19) has resulted in nationwide lockdowns, cessation of school and work, and social distancing. Reducing the negative impacts, such as weight-gain, has garnered global attention. In this dual-center prospective cohort study of 12,889 students, we assessed weight-gain in a youth during the 4-month COVID-19 lockdown, and examined the associations between weight-gain and COVID-19 induced stress, depression and self-reported physical activity, dietary habits and sedentary time. Participants gained an average of 2.6 kg (95% CI: 2.0 to 3.2 kg) for males and 2.1 kg (1.9 to 2.4 kg) for females. An increase in overweight and obese individuals as a demographic percentage by 4.5% and 2.7% and 4.8% and 3.4% in males and females respectively (P<0.001). Weight change was independently associated with severe COVID-19 induced stress, sedentary time, and depression score. Techniques to relieve COVID-19 induced stress, reduce sedentary time through increased physical activity, and improve dietary habits in youth may be warranted to help prevent and/or reverse weight-gain associated with the lockdown period of COVID-19.Registration: Registered with ChiCTR, registration no.: ChiCTR2000033514

17511 Background: There is no published data regarding BMI changes in survivors of adult lymphoma. Methods: In October of 2004, we mailed a 23-page survey to 95 randomly selected patients from a population of 2,485 of patients from the Mayo Tumor Registry who had survived lymphoma from 5 to 20 years. 56 completed the survey for a 68% participation rate. Body mass index (BMI) was calculated using clinical height and weight in the medical record at the time of diagnosis and self-reported weight in the survey response. Physical activity was self-reported. Based on their pattern of response, patients were categorized into a stage of change of current exercise (precontemplation, contemplation, preparation, action, or maintenance). Mood disturbance (depression, anxiety, and distress) and quality of life (QOL) were self-reported using the CES-D, POMS, STAI, FACT-G, and LASA questionnaires. Scores were transformed to a scale of 0–100 (higher score meaning higher functioning) to allow comparisons with a difference of 10 points considered significant. Results: The median age at completion of the questionnaire was 62 years (range: 25–85). The median time since diagnosis was 11 years (range: 6–20). Regular fitness, defined as a stage of change for exercise of action or maintenance, was reported by 48% of the respondents. The median BMI at diagnosis was 25.6 and the median at time of questionnaire was 27.0, which is a statistically significant change. Change in BMI, BMI at diagnosis, and BMI at time of questionnaire had no correlation with level of physical activity. Obese patients had a mean score of 72 points on the LASA, which was significantly lower than normal and underweight patients (mean 86) and overweight patients (mean 84). Conclusions: A small, but significant increase in body mass index was noted in long-term lymphoma survivors from the time of diagnosis to long-term follow-up. Patients who were obese at time of diagnosis may have lower quality of life down-the-road, as measured by the LASA years following treatment. This data represents the first information about body mass index in survivors of adult lymphoma. Further larger studies are needed to confirm these preliminary data and to evaluate other aspects of health behavior in long-term survivors of lymphoma. No significant financial relationships to disclose.