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AIMS: Heart failure (HF) and chronic kidney disease (CKD) place significant challenges on the healthcare system, and their co-existence is associated with shared adverse outcomes. The multinational CaReMe project was initiated to provide contemporary, real-world epidemiological data on cardiovascular and reno-metabolic diseases. Utilizing data from the German CaReMe cohort, we characterize a multicentric HF population and describe in-hospital outcomes stratified for co-morbid CKD. METHODS AND RESULTS: This retrospective, observational study analysed administrative data from inpatient cases hospitalized in 87 German Helios hospitals between 1 January 2016 and 31 August 2022. The first hospitalization of patients aged ≥18 years with a primary discharge diagnosis of HF, based on ICD-10 codes, were considered the index cases, and subsequent hospitalizations were considered as readmissions. Baseline characteristics and outcomes were stratified for co-morbid CKD using ICD-10-encoding from the index cases. Cox regression was utilized for readmission endpoints and in-hospital mortality. In total, 174 829 index cases (mean age 79 ± 15 years, 49.9% female) were included; of these, 55.0% had coexisting CKD. Patients with CKD were older, suffered from worse HF-related symptoms, had a higher co-morbidity burden, and in-hospital mortality was increased at index and during follow-up. Prevalent CKD was associated with higher rehospitalization rates and was an independent predictor for in-hospital death. CONCLUSIONS: Within this HF inpatient cohort from a multicentric German database, CKD was diagnosed in more than half of the patients and was associated with increased in-hospital mortality at baseline and during follow-up. Rehospitalizations were observed earlier and more frequently in patients with HF and co-morbid CKD.
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Background: This study aims to use fundus image material from a long-term retinopathy follow-up study to identify problems created by changing imaging modalities or imaging settings (e.g., image centering, resolution, viewing angle, illumination wavelength). Investigating the relationship of image conversion factor and imaging centering on retinal vessel geometric characteristics (RVGC), offers solutions for longitudinal retinal vessel analysis for data obtained in clinical routine. Methods: Retinal vessel geometric characteristics were analyzed in scanned fundus photographs with Singapore-I-Vessel-Assessment using a constant image conversion factor (ICF) and an individual ICF, applying them to macula centered (MC) and optic disk centered (ODC) images. The ICF is used to convert pixel measurements into µm for vessel diameter measurements and to establish the size of the measuring zone. Calculating a constant ICF, the width of all analyzed optic disks is included, and it is used for all images of a cohort. An individual ICF, in turn, uses the optic disk diameter of the eye analyzed. To investigate agreement, Bland-Altman mean difference was calculated between ODC images analyzed with individual and constant ICF and between MC and ODC images. Results: With constant ICF (n = 104 eyes of 52 patients) the mean central retinal equivalent was 160.9 ± 17.08 µm for arteries (CRAE) and 208.7 ± 14.7.4 µm for veins (CRVE). The individual ICFs resulted in a mean CRAE of 163.3 ± 15.6 µm and a mean CRVE of 219.0 ± 22.3 µm. On Bland-Altman analysis, the individual ICF RVGC are more positive, resulting in a positive mean difference for most investigated parameters. Arteriovenous ratio (p = 0.86), simple tortuosity (p = 0.08), and fractal dimension (p = 0.80) agreed well between MC and ODC images, while the vessel diameters were significantly smaller in MC images (p < 0.002). Conclusion: Scanned images can be analyzed using vessel assessment software. Investigations of individual ICF versus constant ICF point out the asset of utilizing an individual ICF. Image settings (ODC vs. MC) were shown to have good agreement.
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BACKGROUND: Mobile health (mHealth) approaches are already having a fundamental impact on clinical practice in cardiovascular medicine. A variety of different health apps and wearable devices for capturing health data such as electrocardiograms (ECGs) exist. However, most mHealth technologies focus on distinct variables without integrating patients' quality of life, and the impact on clinical outcome measures of implementing those digital solutions into cardiovascular health care is still to be determined. OBJECTIVE: Within this document, we describe the TeleWear project, which was recently initiated as an approach for contemporary patient management integrating mobile-collected health data and the standardized mHealth-guided measurement of patient-reported outcomes (PROs) in patients with cardiovascular disease. METHODS: The specifically designed mobile app and clinical frontend form the central elements of our TeleWear infrastructure. Because of its flexible framework, the platform allows far-reaching customization with the possibility to add different mHealth data sources and respective questionnaires (patient-reported outcome measures). RESULTS: With initial focus on patients with cardiac arrhythmias, a feasibility study is currently carried out to assess wearable-recorded ECG and PRO transmission and its evaluation by physicians using the TeleWear app and clinical frontend. First experiences made during the feasibility study yielded positive results and confirmed the platform's functionality and usability. CONCLUSIONS: TeleWear represents a unique mHealth approach comprising PRO and mHealth data capturing. With the currently running TeleWear feasibility study, we aim to test and further develop the platform in a real-world setting. A randomized controlled trial including patients with atrial fibrillation that investigates PRO- and ECG-based clinical management based on the established TeleWear infrastructure will evaluate its clinical benefits. Widening the spectrum of health data collection and interpretation beyond the ECG and use of the TeleWear infrastructure in different patient subcohorts with focus on cardiovascular diseases are further milestones of the project with the ultimate goal to establish a comprehensive telemedical center entrenched by mHealth.
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Aims: Digital health technologies have the potential to improve patient care sustainably. A digital capturing of patient-reported outcome measures (PROMs) could facilitate patients' surveillance and endpoint assessment within clinical trials especially in heart failure (HF) patients. However, data regarding the availability of digital infrastructure and patients' willingness to use digital health solutions are scarce. Therefore, we conducted a survey as part of a digital-based HF registry. Methods and results: The Helios Heart registry (H2-registry) has been introduced as a prospective registry being based on digitally augmented processes throughout the whole trial conduction from patients' selection to data collection and follow-up (FU). Patient-reported outcome measures are captured paper-based at recruitment, but patients are offered two digital solutions for FU. Overall, 125 patients (mean age 67.8 years, 34.4% female) were included in the single-centre run-in phase of 16 weeks. Of them, 52.0% were not interested in any digital contact as part of the FU. If digital PROM capturing was conceivable, a web-based solution (70.0%) was preferred to an application-based approach (30.0%). Discrepancies occurred regarding the availability of email accounts and smartphones. Patients in the non-digital group were older (72.0 years vs. 63.2 years, P < 0.01) and more frequently female (female sex, non-digital vs. digital group: 47.7% vs. 20.0%, P < 0.01). Conclusions: Our survey illustrated difficulties of implementing a digital FU to record PROMs in a contemporary HF cohort in particular among older patients. Further research is required to specify reasons in case of patients' unwillingness and to better tailor digital health solutions to patients' specific needs.
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AIMS: This study evaluated the influence of diabetes on the health-related quality of life (HRQoL) scores of adult patients with diabetes in northern Finland. METHODS: A total of 3771 patients of the population of 10,264 patients aged ⩾15 years with the right for reimbursement of the cost of diabetes medication attended fundus photography screening for retinopathy in 2012. The 15D HRQoL scores and data on age, sex, type and duration of diabetes were gathered concurrently. The results were compared with the 15D scores reported in Finnish population studies. RESULTS: The 15D score was obtained from 2461 patients aged 60±14 years; 20% had type 1 diabetes (T1D). The mean±SD 15D index was 0.930±0.079 in patients with T1D and their mean±SD age was 46±15 years. The mean±SD 15D index of the patients with type 2 diabetes (T2D) was 0.890±0.100 and their mean±SD age was 63±11 years. The 15D index was no lower than in the Finnish general population in either patient group or in any age group. However, the 15D score was negatively influenced by an increasing duration of diabetes in both patients with T1D and patients with T2D. No sex difference was found. CONCLUSIONS: The mean HRQoL score of patients with diabetes in this study is comparable with that of the general population of equal age. Neither the type of diabetes nor sex independently affected the HRQoL score, but a longer duration of diabetes seemed to impair the HRQoL score. Current diabetes care appears to maintain a normal HRQoL score in this diabetic population in Finland.
