Endurance exercise training (ET) is an effective treatment in heart failure with preserved ejection fraction (HFpEF), but the efficacy of resistance training in this patient population has been only scarcely evaluated. In this multicenter, randomized trial, we evaluated the effects of combined endurance and resistance training over 12 months in patients with HFpEF. The primary endpoint was a modified Packer score, including all-cause mortality, hospitalizations classified as potentially related to heart failure or exercise and changes in peak oxygen consumption (\({\dot{\rm{V}}}{\rm{O}}_2\)), diastolic function (E/e′), New York Heart Association (NYHA) class and global self-assessment (GSA). In total, 322 patients (mean age, 70 years; 192 females (59.6%) and 130 males (40.4%)) were randomized (1:1) to ET or usual care (UC). At 12 months, the modified Packer score showed an improvement in 33 ET patients (20.5%) and in 13 UC patients (8.1%) and showed a worsening in 69 ET patients (42.9%) and in 71 UC patients (44.1%) (Kendall’s tau-b = −0.073, P = 0.17). Although the primary endpoint was not met, clinically relevant differences favoring the ET group as compared to the UC group were observed for the following secondary endpoints: changes in peak \({\dot{\rm{V}}}{\rm{O}}_2\) (mean difference, 1.3 ml kg⁻¹ min⁻¹ (95% confidence interval (CI): 0.4–2.1)) and NYHA class (odds ratio = 7.77 (95% CI: 3.73–16.21)). No significant between-group differences were observed for other secondary endpoints, including change in E/e′, change in GSA, time to cardiovascular hospitalization or all-cause mortality. In conclusion, 1 year of combined endurance and resistance ET did not result in a significantly better modified Packer score, but it did result in improvements in important clinical parameters, such as peak \({\dot{\rm{V}}}{\rm{O}}_2\) and NYHA class, as compared to UC. ISRCTN registration: ISRCTN86879094.

The DAPT score is a recently-proposed decision tool for guiding optimal duration of dual antiplatelet therapy (DAPT). It showed modest accuracy in prior derivation and validation cohorts of patients with ≥12 months DAPT. This study was aimed to evaluate the validity of the DAPT score in a cohort of patients with 6 or 12 months DAPT after implantation of predominantly second-generation drug-eluting stents. We analyzed data of patients enrolled in the ISAR-SAFE trial. Patients were classified into low (<2) or high (≥2) DAPT score groups. Primary ischaemic (all-cause death, myocardial infarction, definite stent thrombosis or stroke) and bleeding (TIMI major or minor) outcomes were analyzed in the low and high DAPT score groups. Data of 3976 patients were available for DAPT score calculation. 2407 patients (60.5%) were classified in the low DAPT score group and 1569 patients (39.5%) in the high DAPT score group. In the low DAPT score group there were no significant differences between 6 and 12 months DAPT regarding ischaemic (1.0% vs. 1.4%, HR=0.74, 95% CI, 0.35–1.57; p=0.43) or bleeding outcomes (0.3% vs. 0.8%, HR=0.44, 95% CI, 0.13–1.42; p=0.17). In the high DAPT score group there were also no significant differences between 6 and 12 months DAPT regarding ischaemic (1.9% vs. 1.8%, HR=1.02, 95% CI, 0.49–2.14; p=0.96) or bleeding (0.3% vs. 0.5%, HR=0.51, 95% CI, 0.09–2.78; p=0.44) outcomes. In conclusion, the DAPT score failed to show a differential treatment effect in patients receiving 6 or 12 months DAPT after contemporary drug-eluting stent implantation.

Serious clinical complications (SCC; CTCAE grade ≥ 3) occur frequently in patients treated for hematological malignancies. Early diagnosis and treatment of SCC are essential to improve outcomes. Here we report a deep learning model-derived SCC-Score to detect and predict SCC from time-series data recorded continuously by a medical wearable. In this single-arm, single-center, observational cohort study, vital signs and physical activity were recorded with a wearable for 31,234 h in 79 patients (54 Inpatient Cohort (IC)/25 Outpatient Cohort (OC)). Hours with normal physical functioning without evidence of SCC (regular hours) were presented to a deep neural network that was trained by a self-supervised contrastive learning objective to extract features from the time series that are typical in regular periods. The model was used to calculate a SCC-Score that measures the dissimilarity to regular features. Detection and prediction performance of the SCC-Score was compared to clinical documentation of SCC (AUROC ± SD). In total 124 clinically documented SCC occurred in the IC, 16 in the OC. Detection of SCC was achieved in the IC with a sensitivity of 79.7% and specificity of 87.9%, with AUROC of 0.91 ± 0.01 (OC sensitivity 77.4%, specificity 81.8%, AUROC 0.87 ± 0.02). Prediction of infectious SCC was possible up to 2 days before clinical diagnosis (AUROC 0.90 at −24 h and 0.88 at −48 h). We provide proof of principle for the detection and prediction of SCC in patients treated for hematological malignancies using wearable data and a deep learning model. As a consequence, remote patient monitoring may enable pre-emptive complication management.

Atrial fibrillation (AF) is the most common arrhythmia and has a major impact on morbidity and mortality; however, detection of asymptomatic AF is challenging. This study aims to evaluate the sensitivity and specificity of non-invasive AF detection by a medical wearable. In this observational trial, patients with AF admitted to a hospital carried the wearable and an ECG Holter (control) in parallel over a period of 24 h, while not in a physically restricted condition. The wearable with a tight-fit upper armband employs a photoplethysmography technology to determine pulse rates and inter-beat intervals. Different algorithms (including a deep neural network) were applied to five-minute periods photoplethysmography datasets for the detection of AF. A total of 2306 h of parallel recording time could be obtained in 102 patients; 1781 h (77.2%) were automatically interpretable by an algorithm. Sensitivity to detect AF was 95.2% and specificity 92.5% (area under the receiver operating characteristics curve (AUC) 0.97). Usage of deep neural network improved the sensitivity of AF detection by 0.8% (96.0%) and specificity by 6.5% (99.0%) (AUC 0.98). Detection of AF by means of a wearable is feasible in hospitalized but physically active patients. Employing a deep neural network enables reliable and continuous monitoring of AF.

PURPOSE: Intensive treatment protocols for aggressive hematologic malignancies harbor a high risk of serious clinical complications, such as infections. Current techniques of monitoring vital signs to detect such complications are cumbersome and often fail to diagnose them early. Continuous monitoring of vital signs and physical activity by means of an upper arm medical wearable allowing 24/7 streaming of such parameters may be a promising alternative. METHODS: This single-arm, single-center observational trial evaluated symptom-related patient-reported outcomes and feasibility of a wearable-based remote patient monitoring. All wearable data were reviewed retrospectively and were not available to the patient or clinical staff. A total of 79 patients (54 inpatients and 25 outpatients) participated and received standard-of-care treatment for a hematologic malignancy. In addition, the wearable was continuously worn and self-managed by the patient to record multiple parameters such as heart rate, oxygen saturation, and physical activity. RESULTS: Fifty-one patients (94.4%) in the inpatient cohort and 16 (64.0%) in the outpatient cohort reported gastrointestinal symptoms (diarrhea, nausea, and emesis), pain, dyspnea, or shivering in at least one visit. With the wearable, vital signs and physical activity were recorded for a total of 1,304.8 days. Recordings accounted for 78.0% (63.0-88.5; median [interquartile range]) of the potential recording time for the inpatient cohort and 84.6% (76.3-90.2) for the outpatient cohort. Adherence to the wearable was comparable in both cohorts, but decreased moderately over time during the trial. CONCLUSION: A high adherence to the wearable was observed in patients on intensive treatment protocols for a hematologic malignancy who experience high symptom burden. Remote patient monitoring of vital signs and physical activity was demonstrated to be feasible and of primarily sufficient quality.

Previous studies have reported slightly higher stroke rates in Takotsubo Syndrome compared to acute myocardial infarction. Our goal was to evaluate the temporal course of stroke rates and left ventricular recovery in patients with Takotsubo Syndrome. We retrospectively examined the clinical and imaging data of 72 patients with Takotsubo Syndrome. The data collected came from January 2005 to March 2017. Left ventricular performance was evaluated by cardiovascular magnetic resonance imaging (MRI) in all patients during the acute phase of Takotsubo Syndrome and in a follow-up scan 2 months later. Acute stroke and major adverse clinical events, such as myocardial infarction or recurrence of Takotsubo Syndrome and death, were also determined for each patient at 30 days and 12 months after initial presentation. The MRI scans performed during the acute phase of Takotsubo Syndrome demonstrated apical ballooning with anterior wall motion dysfunction in 65 (90%) patients. Imaging performed 2 months later demonstrated resolution of this in 97% of those patients. Median left ventricular ejection fraction also significantly increased between both scans (49.5% vs. 64.0%, P < 0.001). We observed 9 (12%) events in the study population within 12 months of the initial diagnosis of Takotsubo Syndrome. Stroke had an event rate of 2.8% after 30 days and 4.2% after 12 months. Apical ballooning was found in the majority of our Takotsubo Syndrome patients on the MRI scans performed at presentation. This finding was subsequently associated with higher than expected stroke rates within 30 days of diagnosis and with rapid recovery of left ventricular function within 2 months of diagnosis. This suggests that rapid improvement in left ventricular morphology and function may facilitate the formation of cardiac emboli and consequently increase stroke rates in Takotsubo Syndrome. Although no guidelines currently exist for the treatment of Takotsubo Syndrome, these results may point to a potential role for temporary oral anticoagulation in high-risk patients. Future studies should examine if stroke rates after Takotsubo Syndrome have been underestimated.