Respiratory biofeedback and psycho-education for patients with post COVID- 19 symptoms and bodily distress: study protocol of the randomized, controlled explorative intervention trial POSITIV

Trials, Journal Year: 2025, Volume and Issue: 26(1)

Published: April 25, 2025

Abstract Background A high number of individuals report suffering from physical and psychological sequelae symptoms after COVID-19—the so-called post COVID-19 condition. Commonly reported complaints include such as fatigue, headache, attention concentration deficits or dyspnea anxiety, post-traumatic stress, depression. Evidence-based treatment recommendations are still lacking up to this point. Associations between in chronic diseases known for a long time. Support coping with the disease improvement self-efficacy can have positive effect on course diseases. For reason, we designed randomized, controlled explorative intervention trial bodily distress disorder recovered persons. Methods Patients condition meeting criteria WHO, along disorder, randomized an control arm (TAU). Randomization takes place diagnostic interview, screening, informed consent. In total, 60 patients will be included (30 per group). The group receives cognitive behavioral therapy video-conference-based (6 weeks) mobile, respiratory biofeedback (for 4 weeks). At several time points, both groups assessed terms health status, expectation, satisfaction intervention. Furthermore, they get examination appointments. primary outcome is change self-efficacy; secondary outcomes parameters mental health, somatic symptoms, Data analyzed primarily using R SPSS. Discussion controlled, POSITIV one very first interventions burden due their different symptoms. aim study generate new evidence help cope thus, increase quality life reduce symptomatology. We expect probability that patients’ status improve result Trial registration German Clinical Register (DRKS); DRKS-ID: DRKS00030565. Registered December 22, 2022.

Language: Английский

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The occurrence of and risk factors for depressive symptomatology in myocarditis survivors: a cross-sectional survey-based study using machine learning

Frontiers in Psychiatry, Journal Year: 2025, Volume and Issue: 16

Published: April 28, 2025

The frequency and impact of depressive symptoms in myocarditis survivors are poorly understood. We conducted a cross-sectional study to identify risk factors the relative importance each for predicting clinically significant symptomatology survivors. Participants completed an electronic survey assessing sociodemographic, general health, myocarditis-related variables, as well self-reported cardiac personal family mental health history. also Center Epidemiologic Studies Depression Scale (CES-D), Beck Anxiety Inventory (BAI), revised Impact Events (IES-R), other validated measures social support, quality life, resiliency, childhood adversity, treatment distress, somatic symptom burden. Clinically was defined CES-D total score ≥ 16. used supervised machine learning examine which how psychosocial types variables predicted Finally, we calculated variable from trained models examined rank ordering predictors. Ninety-six 113 respondents (85.0%) with complete data were included analyses. Forty-three (44.8%) had symptomatology. When symptomatology, random forests achieved mean AUC 0.91 (95% CI 0.87-0.95) significantly higher accuracy than that null information rate (0.84 vs 0.55, p < 0.005), correspondingly high sensitivity (0.84) specificity (0.85). Emotional wellbeing, history depression, anxiety, resilience top predictors analyses, ahead cardiovascular symptoms, depression. Myocarditis at Psychosocial measurable routine practice may be more predictive demographics, history, or symptoms.

Language: Английский

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Non-Traditional Cardiovascular Risk Factors: Tailored Assessment and Clinical Implications

Journal of Cardiovascular Development and Disease, Journal Year: 2025, Volume and Issue: 12(5), P. 171 - 171

Published: April 28, 2025

Non-traditional cardiovascular risk factors (RFs) are increasingly emerging as important modifiers of (CVR), offering insights beyond traditional metrics like hypertension, diabetes, and dyslipidemia. These include novel biomarkers, chronic conditions (e.g., kidney disease obstructive pulmonary disease), environmental exposures, inflammation, infections, psychosocial factors, sex-specific conditions, all which influence the prediction, management, outcomes (CVD). additional RFs may impact on CVD prediction add valid information during tailored patient assessment management. Therefore, a careful both non-traditional RFs, with personalized treatment, could dramatically reduce total burden. Nevertheless, further research is needed to precisely estimate magnitude their prognosis in order be included future charts. This review provides critical analysis pathophysiological mechanisms, implications for care. Integrating these into CVR can reclassify categories, optimize therapeutic strategies, improve prognosis. However, refine inclusion charts evaluate public health outcomes. A tailored, multidisciplinary approach essential burden associated mortality.

Language: Английский

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Koronare Herzkrankheit

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 794 - 810

Published: Jan. 1, 2025

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Improving Cognitive Function in Patients with Heart Failure – The Cognitive Training in Heart Failure Study (CogTrain-HF)

Journal of Cognitive Enhancement, Journal Year: 2025, Volume and Issue: unknown

Published: May 9, 2025

Language: Английский

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