Journal of Cardiopulmonary Rehabilitation and Prevention最新文献

Purpose: There is a growing concern surrounding the utility of medical content on social media. In this study, the popularity metrics and content quality of cardiac rehabilitation (CR) videos on YouTube regarding patient education were examined.

Methods: Using the search key word "cardiac rehabilitation," we analyzed the 50 most relevant videos. Our video popularity analytics encompassed viewing rate, such as ratio, number of comments, and the video power index (VPI). We assessed content quality using the Global Quality Scale (GQS), the modified DISCERN questionnaire, Journal of the American Medical Association ( JAMA ) benchmark criteria, Patient Education Materials Assessment Tool for Audio/Visual Materials (PEMAT-A/V), and a novel tool, the Cardiac Rehabilitation Specific Scale (CRSS).

Results: Notably, 78% of the videos were uploaded by medical organizations. The average viewing rate was 4.6 views per day. There were positive correlations between the scores from different content quality scales. Median scores for the GQS, the modified DISCERN questionnaire, JAMA benchmark criteria, and the CRSS were 3, 3.5, 2, and 5, respectively. Mean PEMAT-A/V scores were 60.4% for understandability and 38.3% for actionability. Videos published by entities other than medical centers predicted lower CRSS and GQS scores. High JAMA benchmark criteria scores were negative predictors of VPI, view rate, and number of comments.

Conclusion: Our findings suggest that CR-related videos on YouTube are characterized by low popularity, average content quality and understandability, but a lack of reliability and actionability. To ensure individuals seek accurate CR information on social media platforms, we recommend directing them to videos uploaded by medical centers.

Purpose: The objective of this study was to evaluate the independent and added value of a cardiopulmonary exercise test (CPX) to New York Heart Association (NYHA) functional analysis in patients with heart failure (HF) and ejection fraction (EF) <50%.

Methods: Patients (n = 613) with HF and EF < 50% underwent CPX and were followed for 28 ± 17 mo with respect to primary outcomes (death or heart transplantation).

Results: Mean patient age was 56 ± 12 yr, and 64% were male. Most patients were classified as NYHA class II (41%). The composite rate of primary outcomes was 12%; death occurred in 9%, and heart transplant in 4%. Independent predictors of primary outcomes were: EF (HR = 0.95: 95% CI, 0.92-0.98; P = .001) and NYHA (HR = 2.06: 95% CI, 1.54-2.75; P < .0001). When added to the model, peak oxygen uptake (V˙ O2peak ) was an independent predictor (HR = 0.90: 95% CI, 0.84-0.96; P = .001), as was the percentage of predicted V˙ O2peak (HR = 0.03: 95% CI, 0.007-0.147; P < .001), minute ventilation/carbon dioxide production slope (HR = 1.02: 95% CI, 1.01-1.04; P = .012), and CPX score (HR = 1.16: 95% CI, 1.06-1.27; P = .001).

Conclusions: CPX variables were independent predictors of HF prognosis, even when controlled by NYHA functional class. Despite being independent predictors, the value added to NYHA classification was modest and lacked statistical significance.

Purpose: The objective of this study was to evaluate the association between comprehensive cardiac rehabilitation (CCR) completion and long-term clinical outcomes in patients with cardiac implantable electronic devices (CIED).

Methods: This retrospective cohort study included 834 patients with CIED who participated in CCR, which included a cardiopulmonary exercise test or 6-min walk test. Patients with a left ventricular ejection fraction ≤40%, predicted peak oxygen uptake ≤80%, or B-type natriuretic peptide level ≥80 pg/mL were eligible. The primary outcome was all-cause mortality.

Results: After excluding 241 patients with duplicate records and 69 who underwent CCR in the outpatient department, the data of 524 patients were analyzed. Mean age was 64 ± 15 yr, 389 (74%) patients were men, left ventricular ejection fraction was 31 ± 15%, and 282 (54%) patients had a history of hospitalization for worsening heart failure. Of the patients referred for CCR, 294 (56%) completed the program, and an additional 230 patients started but did not complete CCR. Over a 3.7-yr median follow-up period, all-cause mortality occurred in 156 (30%) patients. Completers had lower all-cause mortality rates than non-completers (log-rank 15.77, P < .001). After adjusting for prognostic baseline characteristics, completers had 58% lower all-cause mortality risks than non-completers (HR = 0.42; 95% CI, 0.27-0.64, P < .001).

Conclusions: Three-mo CCR program completion was associated with lower mortality risks in patients with CIED. New programs or management methods are needed to decrease mortality risks, especially for those who cannot complete CCR programs.

Purpose: Sarcopenia, the loss of muscle mass and function, is a common comorbidity in patients with heart failure (HF). The skeletal muscle modulates the respiratory response during exercise. However, whether ventilatory behavior is affected by sarcopenia is still unknown.

Methods: We enrolled 169 male patients with HF. Muscle strength was measured by a handgrip dynamometer. Body composition was measured with dual-energy X-ray absorptiometry. Sarcopenia was defined by handgrip strength <27 kg and appendicular lean mass divided by height squared (ALM/height 2 ) <7.0 kg/m 2 . Oxygen uptake efficiency slope (OUES), ventilation (VE), oxygen uptake (VO 2 ), and carbon dioxide output (VCO 2 ) were measured by a cardiopulmonary exercise test.

Results: Sarcopenia was identified in 29 patients (17%). At the first ventilatory threshold, VE/VO 2 (36.9 ± 5.9 vs 32.7 ± 6.5; P = .003) and VE/VCO 2 (39.8 ± 7.2 vs 35.3 ± 6.9; P = .004) were higher in patients with sarcopenia compared to those without sarcopenia. At the exercise peak, compared to patients without sarcopenia, patients with sarcopenia had lower OUES (1186 ± 295 vs 1634 ± 564; P < .001), relative VO 2 (16.2 ± 5.0 vs 19.5 ± 6.5 mL/kg/min; P = .01), and VE (47.3 ± 10.1 vs 63.0 ± 18.2 L/min; P < .0001), while VE/VCO 2 (42.9 ± 8.9 vs 38.7 ± 8.4; P = .025) was increased. OUES was positively correlated with ALM/height 2 ( r = 0.36; P < .0001) and handgrip strength ( r = 0.31; P < .001). Hemoglobin (OR = 1.149; 95% CI, 0.842-1.570; P = .038), ALM/height 2 (OR = 2.166; 95% CI, 1.338-3.504; P = .002), and VO 2peak (OR = 1.377; 95% CI, 1.218-1.557; P < .001) were independently associated with OUES adjusted by cofounders.

Conclusions: Our results suggest that sarcopenia is related to impaired ventilatory response during exercise in patients with HF.

Purpose: The aim of this investigation was to evaluate the impact of automated cardiac rehabilitation (CR) referral and nurse care coordination on patient and program outcomes. Specifically, the aim was to identify whether differences exist in physical and psychological function at CR Phase 2 enrollment and completion and CR Phase 2 participation and completion for hospitalized patients who receive in-person CR nurse visits versus phone consultation. Using a retrospective pre-/post-intervention descriptive design, a purposive sampling technique was used to select groups with matching clinical attributes. Dates were selected to mitigate the impact of COVID-19 on CR program enrollment and completion.

Methods: Data were abstracted from the patient electronic medical record, telemetry documentation, and CR referral tracking tool. Patient descriptors included age, sex, cardiac diagnosis/procedure (post-coronary artery bypass graft surgery, myocardial infarction, percutaneous coronary intervention, heart failure, and aortic valve repair and replacement) and cardiac risk stratification category. Patient functional outcomes included the 6-min walk test and metabolic equivalents of task levels for functional capacity; psychological function was measured by the Patient Health Questionnaire assessment. Program outcomes included discharge to CR Phase 2 enrollment, CR sessions, and completion.

Results: Each group had 52 patients. Age was 64 ± 12 yr, 68% were male. Perhaps indications for CR included coronary artery bypass graft surgery (44%), myocardial infarction (19%), percutaneous coronary intervention (20%), heart failure (10%), aortic valve repair and replacement (8%). Cardiac risk was low in 30%, intermediate in 65%, and high in 5%. The post-intervention group compared with the pre-intervention group had a shorter discharge to CR Phase 2 enrollment (35 ± 18 d vs 41 ± 28 d, P = .078) and significantly fewer sessions required for CR completion.

Conclusion: Automated CR referral and nurse care coordination visits for hospitalized patients decreased the transition period between CR Phase 1 and 2. Patients were physically and psychologically prepared for earlier CR Phase 2 enrollment and successfully completed the program in fewer days than the pre-intervention group.

Purpose: This study examined whether health-related quality of life (HRQL) and depression assessed prior to pulmonary rehabilitation (PR) participation (ie, at baseline) predicted change in 6-min walk distance (6MWD) from baseline to end of PR.

Methods: Patients with pulmonary disease were consecutively referred/enrolled in a PR program from 2009-2022 (N = 503). Baseline 6MWD was assessed along with self-report measures of HRQL (St George's Respiratory Questionnaire [SGRQ]) and depression (Geriatric Depression Scale [GDS]). The SGRQ total score was used to assess overall HRQL, and SGRQ subscales assessed pulmonary symptoms, activity limitations, and psychosocial impacts of pulmonary disease. Multiple linear regression was used to examine whether baseline SGRQ scores and depression predicted Δ6MWD.

Results: Baseline SGRQ total score ( F(1,389) = 8.4, P = .004) and activity limitations ( F(1,388) = 4.8, P = .03) predicted Δ6MWD. Patients with an SGRQ activity limitation score ≤ 25th percentile showed the most 6MWD improvement (mean = 79.7 m, SE = 6.7), and significantly more improvement than participants scoring between the 50-75th percentiles (mean = 54.4 m, SE = 6.0) or >75th percentile (mean = 48.7 m, SE = 7.5). Patients scoring between the 25-50th percentiles (mean = 70.2 m, SE = 6.1) did not differ significantly from other groups. The SGRQ symptoms and impacts subscales were unrelated to Δ6MWD ( F(1,388) = 1.2-1.9, P > .05), as was depression ( F(1,311) = 0.0, P  > .85).

Conclusions: Patients with greater HRQL at baseline may experience greater physical functioning improvement following PR. Additional support for patients with lower HRQL (eg, adjunctive self-management interventions) may enhance PR outcomes, particularly for patients who report greater activity limitations. Alternatively, early referral to PR (ie, when less symptomatic) may also benefit physical function outcomes.