European Journal of Cardiovascular Nursing最新文献

Aims: Marfan syndrome (MFS) is a genetic disorder that causes sudden or chronic cardiovascular problems, which can be fatal. Since MFS patients require regular close medical observation, it is important to understand the factors and pathways associated with psychosocial adaptation to the disease. This study aimed to identify the relationships among illness uncertainty, uncertainty appraisal, and psychosocial adaptation in MFS patients using path analysis.

Method and results: This descriptive cross-sectional survey study was conducted from October 2020 to March 2021, in compliance with STROBE guidelines. Using data from 179 participants aged older than 18 years, we constructed a hypothetical path model to identify determinants of illness uncertainty, uncertainty appraisal, and psychosocial adaptation. In the path analysis, disease severity, illness uncertainty, anxiety, and social support were significant factors influencing MFS patients' psychosocial adaptation. Disease severity and illness uncertainty exerted direct effects, while anxiety and social support exerted both direct and indirect (through illness uncertainty) effects. Finally, anxiety showed the greatest total effect.

Conclusion: These findings are useful for enhancing MFS patients' psychosocial adaptation. Medical professionals should focus on managing disease severity, decreasing anxiety, and increasing social support.

Aims: After heart transplantation (HTx), increments in physical activity (PA) are strongly recommended. However, participation rates in exercise-based cardiac rehabilitation and engagement in PA are insufficient in many patients. Hence, this study aimed to explore the central factors and the interconnections among distinct types of motivation to exercise, PA, sedentary time, psychosomatic, diet, and activity limitation characteristics in post-HTx patients.

Methods and results: This is a cross-sectional study involving 133 post-HTx patients (79 men, mean age 57 ± 13 years, mean time from transplantation 55 ± 42 months) recruited from an outpatient clinic in Spain. The patients were asked to fill in questionnaires measuring self-reported PA, motivation to exercise, kinesiophobia, musculoskeletal pain, quality of sleep, depression, functional capacity, frailty, sarcopenia risk, and diet quality. Two network structures were estimated: one network including PA and one network including sedentary time as nodes. The relative importance of each node in the network structures was determined using centrality analyses. According to the strength centrality index, functional capacity and identified regulation (subtypes of motivation to exercise) are the two most central nodes of the network (strength: z-score = 1.35-1.51). Strong and direct connections emerged between frailty and PA and between sarcopenia risk and sedentary time.

Conclusion: Functional capacity and autonomous motivation to exercise are the most promising targets of interventions to improve PA levels and sedentary time in post-HTx patients. Furthermore, frailty and sarcopenia risk were found to mediate the effects of several other factors on PA and sedentary time.

Aims: Heart failure (HF) is a common cause of mortality and (re)hospitalizations. The NWE-Chance project explored the feasibility of providing hospitalizations at home (HH) supported by a newly developed digital health platform. The aim of this study was to explore the perceived usability by healthcare professionals (HCPs) of a digital platform in addition to HH for HF patients.

Methods and results: A prospective, international, multicentre, single-arm interventional study was conducted. Sixty-three patients and 22 HCPs participated. The HH consisted of daily home visits by the nurse and use of the platform, consisting of a portable blood pressure device, weight scale, pulse oximeter, a wearable chest patch to measure vital signs (heart rate, respiratory rate, activity level, and posture), and an eCoach for the patient. Primary outcome was usability of the platform measured by the System Usability Scale halfway and at the end of the study. Overall usability was rated as sufficient (mean score 72.1 ± 8.9) and did not differ between the measurements moments (P = 0.690). The HCPs reported positive experiences (n = 7), negative experiences (n = 13), and recommendations (n = 6) for the future. Actual use of the platform was 79% of the HH days.

Conclusion: A digital health platform to support HH was considered usable by HCPs, although actual use of the platform was limited. Therefore, several improvements in the integration of the digital platform into clinical workflows and in defining the precise role of the digital platform and its use are needed to add value before full implementation.

Registration: clinicaltrials.gov NCT04084964.

Aims: In the face of growing expectations for data transparency and patient engagement in care, we evaluated preferences for patient-reported outcome (PRO) data access and sharing among patients with heart failure (HF) using an ethical framework.

Methods and results: We conducted qualitative interviews with a purposive sample of patients with HF who participated in a larger 8-week study that involved the collection and return of PROs using a web-based interface. Guided by an ethical framework, patients were asked questions about their preferences for having PRO data returned to them and shared with other groups. Interview transcripts were coded by three study team members using directed content analysis. A total of 22 participants participated in semi-structured interviews. Participants were mostly male (73%), White (68%) with a mean age of 72. Themes were grouped into priorities, benefits, and barriers to data access and sharing. Priorities included ensuring anonymity when data are shared, transparency with intentions of data use, and having access to all collected data. Benefits included: using data as a communication prompt to discuss health with clinicians and using data to support self-management. Barriers included: challenges with interpreting returned results, and potential loss of benefits and anonymity when sharing data.

Conclusion: Our interviews with HF patients highlight opportunities for researchers to return and share data through an ethical lens, by ensuring privacy and transparency with intentions of data use, returning collected data in comprehensible formats, and meeting individual expectations for data sharing.

Aims: Depressive symptoms are common in patients with heart failure (HF) and are associated with adverse outcomes in this group. This study examined depressive symptoms and associated determinants in patients with HF based on the hopelessness theory of depression.

Methods and results: In this cross-sectional study, a total of 282 patients with HF were recruited from 3 cardiovascular units of a university hospital. Symptom burden, optimism, maladaptive cognitive emotion regulation strategies (MCERSs), hopelessness, and depressive symptoms were assessed using self-reported questionnaires. A path analysis model was established to evaluate the direct and indirect effects. The prevalence of depressive symptoms was 13.8% in the patients. Symptom burden had the greatest direct effect on depressive symptoms (β = 0.406; P < 0.001), optimism affected depressive symptoms both directly and indirectly with hopelessness as the mediator (direct: β = -0.360; P = 0.001; indirect: β = -0.169; P < 0.001), and MCERSs only had an indirect effect on depressive symptoms with hopelessness as the mediator (β = 0.035; P < 0.001).

Conclusion: In patients with HF, symptom burden, decreased optimism, and hopelessness contribute to depressive symptoms directly. What is more, decreased optimism and MCERS lead to depressive symptoms indirectly via hopelessness. Accordingly, interventions aimed at decreasing symptom burden, enhancing optimism, and reducing the use of MCERSs, while declining hopelessness, may be conducive to relieving depressive symptoms in patients with HF.

Aims: In patients with peripheral arterial disease (PAD), exercise therapy is recommended to relieve leg symptoms, as noted in the 2016 AHA/ACC and 2017 ESC/ESVS guidelines. We assessed the trainability for cardiopulmonary fitness (CPF) and quality of life (QOL); three distinct patient types, namely, PAD, heart failure (HF), and stroke, were compared.

Methods and results: This is a multicentre, retrospective analysis of prospectively collected data from three clinical studies. Data collected from 123 patients who completed 36 sessions of supervised aerobic training of moderate intensity were analysed, with 28 PAD, 55 HF, and 40 stroke patients totalling 123. Before and after training, cardiopulmonary exercise testing with non-invasive cardiac output monitoring and QOL evaluation using a 36-Item Short Form Survey (SF-36) were performed. Non-response was defined as a negative change in the post-training value compared with that in the pre-training value. The result showed an improvement in CPF in all three groups. However, cardiorespiratory fitness (CRF) increased by a lesser extent in the PAD group than in the HF and stroke groups; the physical and mental component scores (MCS) of SF-36 exhibited a similar pattern. Non-response rates of peak V˙O2, oxygen uptake efficiency slope, and MCS were higher in the PAD group. In the PAD group, non-responders regarding peak V˙O2 had a higher pulse wave velocity than responders.

Conclusion: In patients with PAD following exercise therapy, CRF and QOL improved to a lesser extent on average; their non-response rate was also higher compared with that of HF or stroke patients. Therefore, a higher dose of exercise might be needed to elicit adaptation in PAD patients, especially those with high pulse wave velocity.

Aims: A nutritional status is related to the length of hospitalization and in-hospital mortality of patients with heart failure (HF). The aim of this study is to assess the prognostic impact of nutritional status and body mass index (BMI) on in-hospital mortality among patients with HF relative to their sex.

Methods and results: We conducted a retrospective study and analysis of 809 medical records of patients admitted to the Institute of Heart Disease of the University Clinical Hospital in Wroclaw (Poland). Women were statistically significantly older than men (74.67 ± 11.15 vs. 66.76 ± 17.78; P < 0.001). In unadjusted model, significant predictors of the odds of in-hospital mortality for men were underweight (OR = 14.81, P = 0.001) and the risk of malnutrition (OR = 8.979, P < 0.001). In the case of women, none of the traits analysed was significant. In age-adjusted model, significant independent predictors of the odds of in-hospital mortality in the case of men were BMI < 18.5 (OR = 15.423, P = 0.001) and risk of malnutrition (OR = 5.557, P = 0.002). In the case of women, none of the nutritional status traits analysed were significant. In multivariable-adjusted model in men, significant independent predictors of the odds of in-hospital mortality were BMI < 18.5 (OR = 15.978, P = 0.007) compared with having normal body weight and the risk of malnutrition (OR = 4.686, P = 0.015). In the case of women, none of the nutritional status traits analysed were significant.

Conclusion: Both underweight and the risk of malnutrition are direct predictors of the odds of in-hospital mortality in men, but not in women. The study did not find a relationship between nutritional status and in-hospital mortality in women.

Patient information materials often tend to be written at a reading level that is too advanced for patients. In this proof-of-concept study, we used ChatGPT and Google Bard to reduce the reading level of three selected patient information sections from scientific journals. ChatGPT successfully improved readability. However, it could not achieve the recommended 6th-grade reading level. Bard reached the reading level of 6th graders but oversimplified the texts by omitting up to 83% of the content. Despite the present limitations, developers of patient information are encouraged to employ large language models, preferably ChatGPT, to optimize their materials.