Self-reported mental and physical health is associated with not returning to work in patients with ischemic heart disease.

BACKGROUND: Ischemic Heart Disease (IHD) can lead to prolonged sick leave and loss of ability to work. This study aimed to describe non-return to work (non-RTW) across three IHD subgroups at 3 and at 12 months post discharge, and explore whether baseline characteristics, and patient-reported mental and physical health were associated with work detachment. METHODS: Data from the national cohort study DenHeart were used, including the patient-reported outcomes (PROs) Short-Form 12, Hospital Anxiety and Depression Scale, Edmonton Symptom Assessment Scale and HeartQoL measured at discharge and register-based follow-up at 3 and at 12 months. A total of 3873 patients with IHD ≤ 63 years old and part of the workforce prior to hospitalisation, were included in the analyses and divided into three groups: chronic IHD/stable angina, non-STEMI (non-ST-Elevation Myocardial Infarction)/unstable angina and STEMI (ST-Elevation Myocardial Infarction). A composite outcome of 'prolonged sick leave' and/or 'left the workforce' was defined as non-return to work (non-RTW). Adjusted logistic regression models were performed. RESULTS: Overall, the frequency of non-RTW was 37.7% and 38.0% at 3 and 12 months, respectively, thus not improving with time. The largest proportion of non-RTW was found in STEMI patients, followed by non-STEMI/unstable angina and IHD/stable angina patients. Several clinical and socio-demographic factors, as well as patient-reported mental and physical health were associated with non-RTW among the subgroups. CONCLUSION: The findings demonstrate a need for identifying IHD patients at risk of non-RTW after discharge based on their mental and physical health and a need for initiatives to minimize unwanted non-RTW.

Postponement of elective cardiac surgery: A prospective observational analysis of anxiety, depression, social support and clinical complications.

AIMS: To investigate patients' psychological reactions to postponement of elective cardiac surgery, and whether postponement was associated with increased complications post-operative and while waiting. DESIGN: A single-centre observational prospective cohort study. METHODS: All adult patients referred for elective cardiac surgery during the study period were considered for inclusion. Psychological data were collected using a survey distributed to patients prior to surgery and at 6 months post-operative. Clinical data were obtained from patient records. RESULTS: A total of 83 postponed and 132 non-postponed patients were included. Postponed patients displayed more avoidance behaviour, but only immediately before surgery. Postponed patients maintained their satisfaction with perceived social support, whereas non-postponed patients became more dissatisfied over time. Waiting 0-14 days was associated with increased symptoms of depression before surgery compared to non-postponed patients or those waiting more than 14 days. Surgical complications were the same in both groups. No patients experienced aggravation of their disease leading to urgent or emergent surgery while waiting for surgery. Hospital-related reasons were the most common cause for postponement of surgery. CONCLUSION: Postponement of selected patients is not associated with increased risk of psychological distress or complications related to the patient's disease. REPORTING METHOD: Strengthening the Reporting of Observational Studies in Epidemiology (STROBE). IMPLICATIONS FOR PATIENT CARE: Pre- and post-psychological interventions may be relevant to consider in relation to elective cardiac surgery as it has been shown to positively affect outcome. Organisational/hospital-related reasons are still very common causes for postponement of elective surgeries, and hospital administrations should focus upon eliminating/decreasing this. PUBLIC CONTRIBUTION: Questionnaires filled by patients were used to understand an association between postponement of cardiac surgery and psychological distress.

Sex Differences in Patient-Reported Outcomes in the Immediate Recovery Period After Resuscitation: Findings From the Cross-sectional DenHeart Survey.

BACKGROUND: A paucity of resuscitation studies have examined sex differences in patient-reported outcomes upon hospital discharge. It remains unclear whether male and female patients differ in health outcomes in their immediate responses to trauma and treatment after resuscitation. OBJECTIVES: The aim of this study was to examine sex differences in patient-reported outcomes in the immediate recovery period after resuscitation. METHODS: In a national cross-sectional survey, patient-reported outcomes were measured by 5 instruments: symptoms of anxiety and depression (Hospital Anxiety and Depression Scale), illness perception (Brief Illness Perception Questionnaire [B-IPQ]), symptom burden (Edmonton Symptom Assessment Scale [ESAS]), quality of life (Heart Quality of Life Questionnaire), and perceived health status (12-Item Short Form Survey). RESULTS: Of 491 eligible survivors of cardiac arrest, 176 (80% male) participated. Compared with male, resuscitated female reported worse symptoms of anxiety (Hospital Anxiety and Depression Scale-Anxiety score ≥8) (43% vs 23%; P = .04), emotional responses (B-IPQ) (mean [SD], 4.9 [3.12] vs 3.7 [2.99]; P = .05), identity (B-IPQ) (mean [SD], 4.3 [3.10] vs 4.0 [2.85]; P = .04), fatigue (ESAS) (mean [SD], 5.26 [2.48] vs 3.92 [2.93]; P = .01), and depressive symptoms (ESAS) (mean [SD], 2.60 [2.68] vs 1.67 [2.19]; P = .05). CONCLUSIONS: Between sexes, female survivors of cardiac arrest reported worse psychological distress and illness perception and higher symptom burden in the immediate recovery period after resuscitation. Attention should focus on early symptom screening at hospital discharge to identify those in need of targeted psychological support and rehabilitation.

Return to work and everyday life following out-of-hospital cardiac arrest. Results from the national survey, DenHeart.

BACKGROUND: With increasing survival rates following out-of-hospital cardiac arrest (OHCA), knowledge on return to everyday life, including return to work, should be getting increasing attention. OBJECTIVES: To i) describe patterns of labor market affiliation up to 12 months after discharge among a workforce population and to, ii) investigate the association between clinical and sociodemographic characteristics, self-reported health at discharge and a composite endpoint of prolonged sick leave and leaving the workforce after 3 and 12 months. METHODS: Data from the national survey, DenHeart, were used, including measures of self-reported health: HeartQoL and the Hospital Anxiety and Depression Scale (HADS), combined with register-based follow-up. RESULTS: During the study period, n = 572 OHCA patients were discharged from five Heart centres, n = 184 were part of the workforce. At discharge, 60% were on paid sick leave, and 20% at 12 months. Age (per one year older) increased the odds of experiencing the composite endpoint at 3 and 12 months (3 months: OR 1.06 95%CI 1.03-1.10, 12 months: OR 1.06 95%CI 1.03-1.09) among the total population (n = 184). Self-reported health at discharge was not associated with the endpoint. CONCLUSION: One-fifth of the OHCA survivors at a working-age prior to the OHCA was still on paid sick leave after 12 months. Increasing age was the only characteristic associated with a composite endpoint of prolonged sick leave or leaving the workforce at 3 and 12 months after discharge. With increasing survival rates, healthcare professionals need to support the population in resuming daily life, including returning to the workforce, when relevant.

Association Between Risk Factors and Readmission for Patients With Atrial Fibrillation Treated With Catheter Ablation: Results From the Nationwide DenHeart Study.

BACKGROUND: Because of high readmission rates for patients treated with ablation for atrial fibrillation (AF), there is great value in nurses knowing which risk factors make the largest contribution to readmission. OBJECTIVE: The aims of this study were to (1) describe potential risk factors at discharge and (2) describe the associations of risk factors with readmission from 60 days to 1 year after discharge. METHODS: Data from a national cross-sectional survey exploring patient-reported outcomes were used in conjunction with data from national health registers. This study included patients who had an ablation for AF during a single calendar year. The Hospital Anxiety and Depression Scale and questions on risk factors were included. Sociodemographic and clinical data were collected through registers, and readmissions were examined at 1 year. RESULTS: In total, 929 of 1320 (response rate, 70%) eligible patients treated with ablation for AF completed the survey. One year after ablation, there were 333 (36%) acute readmissions for AF and 401 (43%) planned readmissions for AF. Readmissions were associated with ischemic heart disease, anxiety, and depression. CONCLUSION: High observed readmission rates were associated with risk factors that included anxiety and depression. Postablation care should address these risk factors.

The association between health-related quality of life, self-reported characteristics and 1- and 3-year mortality amongst cardiac patients with and without type 2 diabetes.

PURPOSE: The objectives amongst cardiac patients with and without type 2 diabetes were to (i) describe self-reported characteristics as health-related quality of life (HRQoL), health behaviour, body mass index (BMI) and physical shape and to (ii) investigate the association between self-reported characteristics and 1- and 3-year mortality. METHODS: Adult patients (≥ 18 years) discharged with a cardiac diagnosis were invited to participate in a national survey, DenHeart. Self-reported characteristics included HRQoL (EQ-5D-5L and HeartQol), health behaviour (alcohol and smoking), BMI and physical shape. Data were linked to national registries. The association between self-reported characteristics and 1- and 3-year mortality were investigated using the Cox Proportional Hazard Regression model, reported as hazard ratios (HR) with 95% confidence intervals (CI). RESULTS: In total, 16,659 cardiac responders were included (n = 2,205 with type 2 diabetes, n = 14,454 without type 2 diabetes). Self-reported characteristics were worse amongst cardiac patients with type 2 diabetes compared to those without. After three years, the mortality rate was 14% amongst responders with diabetes and 7% amongst responders without type 2 diabetes (p ≤ 0.001). Better HRQoL was associated with a reduced risk of mortality amongst both groups. "Never been smoking" significantly reduced the risk of 1- and 3-year mortality amongst cardiac patients without diabetes, whereas good physical shape was associated with a reduced risk across both groups. CONCLUSION: HRQoL, health behaviour, BMI and physical shape are significantly worse amongst cardiac patients with type 2 diabetes. Better HRQoL was associated with a reduced risk of mortality amongst both groups, whereas other self-reported characteristics and the mortality risk varied.

Self-reported health and adverse outcomes among women living with symptoms of angina or unspecific chest pain but no diagnosis of obstructive coronary artery disease-findings from the DenHeart study.

AIMS: The objectives were to describe differences in self-reported health at discharge between women diagnosed with angina or unspecific chest pain and investigate the association between self-reported health and adverse outcomes within 3 years. METHODS AND RESULTS: Data from a national cohort study were used, including data from the DenHeart survey combined with 3 years of register-based follow-up. The population included two groups of women with symptoms of angina but no diagnosis of obstructive coronary artery disease at discharge (women with angina and women with unspecific chest pain). Self-reported health measured with validated instruments was combined with register-based follow-up on adverse outcomes (a composite of unplanned cardiac readmissions, revascularization, or all-cause mortality). Associations between self-reported health and time to first adverse outcomes were investigated with Cox proportional hazard models, reported as hazards ratios with 95% confidence intervals. In total, 1770 women completed the questionnaire (49%). Women with angina (n = 931) reported significantly worse self-reported health on several outcomes compared to women with unspecific chest pain (n = 839). Within the 3 years follow-up, women with angina were more often readmitted (29 vs. 23%, P = 0.011) and more underwent revascularization (10 vs. 1%, P < 0.001), whereas mortality rates were similar (4 vs. 4%, P = 0.750). Self-reported health (physical and mental) was associated with adverse outcomes between both groups (on most instruments). CONCLUSION: Women with angina reported significantly worse self-reported health on most instruments compared to women with unspecific chest pain. Adverse outcomes varied between groups, with women diagnosed with angina experiencing more events. REGISTRATION: ClinicalTrials.gov (NCT01926145).

Nurses' Clinical Decision-Making in a Changed COVID-19 Work Environment: A Focus Group Study.

This study aims to explore how a changed COVID-19 work environment influences nurses' clinical decision-making. Data were collected via three focus groups totaling 14 nurses working in COVID-19 pandemic wards at a Danish university hospital. The factors influencing decision-making are described in three themes; navigating in a COVID-19 dominated context, recognizing the importance of collegial fellowship, and the complexities of feeling competent. A strong joint commitment among the nurses to manage critical situations fostered a culture of knowledge-sharing and drawing on colleagues' competencies in clinical decision-making. It is important for nurse leaders to consider multiple factors when preparing nurses not only to work in changing work environments, but also when nurses are asked to work in environments and specialties that deviate from their usual routines.

Perspectives on Participation in a Feasibility Study on Exercise-Based Cardiac Telerehabilitation After Transcatheter Aortic Valve Implantation: Qualitative Interview Study Among Patients and Health Professionals.

BACKGROUND: Aortic valve stenosis affects approximately half of people aged ≥85 years, and the recommended surgical treatment for older patients is transcatheter aortic valve implantation (TAVI). Despite strong evidence for its advantages, low attendance rate in cardiac rehabilitation is observed among patients after TAVI. Cardiac telerehabilitation (CTR) has proven comparable with center-based rehabilitation; however, no study has investigated CTR targeting patients after TAVI. On the basis of participatory design, an exercise-based CTR program (TeleTAVI) was developed, which included a web-based session with a cardiac nurse, a tablet containing an informative website, an activity tracker, and supervised home-based exercise sessions that follow the national recommendations for cardiac rehabilitation. OBJECTIVE: This study aims to explore patients' and health professionals' experiences with using health technologies and participating in the exercise-based CTR program, TeleTAVI. METHODS: This study is a part of a feasibility study and will only report patients' and health professionals' experiences of being a part of TeleTAVI. A total of 11 qualitative interviews were conducted using a semistructured interview guide (n=7, 64% patients and n=4, 36% health professionals). Patient interviews were conducted after 8 weeks of participation in TeleTAVI, and interviews with health professionals were conducted after the end of the program. The analysis was conducted as inductive content analysis to create a condensed meaning presented as themes. RESULTS: Reticence toward using the website was evident with reduced curiosity to explore it, and reduced benefit from using the activity tracker was observed, as the patients' technical competencies were challenged. This was also found when using the tablet for web-based training sessions, leading to patients feeling worried before the training, as they anticipated technical problems. Disadvantages of the TeleTAVI program were technical problems and inability to use hands-on guidance with the patients. However, both physiotherapists and patients reported a feeling of improvement in patients' physical fitness. The home training created a feeling of safety, supported adherence, and made individualization possible, which the patients valued. A good relationship and continuity in the contact with health professionals seemed very important for the patients and affected their positive attitude toward the program. CONCLUSIONS: The home-based nature of the TeleTAVI program seems to provide the opportunity to support individualization, autonomy, independence, and adherence to physical training in addition to improvement in physical capability in older patients. Despite technological challenges, basing the relationship between the health professionals and patients on continuity may be beneficial for patients. Prehabilitation may also be considered, as it may create familiarity toward technology and adherence to the training.

Nursing care during COVID-19 at non-COVID-19 hospital units: A qualitative study.

The maintenance of physical distance, the absence of relatives and the relocation of registered nurses to COVID-19 units presumably affects nursing care at non-COVID-19 units. Using a qualitative design, this study explored registered nurses' experiences of how COVID-19 influenced nursing care in non-COVID-19 units at a Danish university hospital during the first wave of the virus. The study is reported using the COREQ checklist. The analysis offered two findings: (1) the challenge of an increased workload for registered nurses remaining in non-COVID-19 units and (2) the difficulty of navigating the contradictory needs for both closeness to and distance from patients. The study concluded that several factors challenged nursing care in non-COVID-19 units during the COVID-19 pandemic. These may have decreased the amount of contact between patients and registered nurses, which may have contributed to a task-oriented approach to nursing care, leading to missed nursing care.

The association between cardiac drug therapy and anxiety among cardiac patients: results from the national DenHeart survey.

BACKGROUND: Neuropsychiatric side effects of cardiac drugs such as nervousness, mood swings and agitation may be misinterpreted as symptoms of anxiety. Anxiety in cardiac patients is highly prevalent and associated with poor outcomes, thus an accurate identification is essential. The objectives were to: (I) describe the possible neuropsychiatric side effects of common cardiac drug therapies, (II) describe the use of cardiac drug therapy in cardiac patients with self-reported symptoms of anxiety compared to those with no symptoms of anxiety, and (III) investigate the association between the use of cardiac drug therapy and self-reported symptoms of anxiety. METHODS: DenHeart is a large national cross-sectional survey combined with national register data. Symptoms of anxiety were measured by the Hospital Anxiety and Depression Scale (HADS-A) on patients with ischemic heart disease, arrhythmia, heart failure and heart valve disease. Side effects were obtained from 'product summaries', and data on redeemed prescriptions obtained from the Danish National Prescription Registry. Multivariate logistic regression analyses explored the association between cardiac drug therapies and symptoms of anxiety (HADS-A ≥ 8). RESULTS: Among 8998 respondents 2891 (32%) reported symptoms of anxiety (HADS-A ≥ 8). Neuropsychiatric side effects were reported from digoxin, antiarrhythmics, beta-blockers, ACE-inhibitors and angiotensin receptor antagonists. Statistically significant higher odds of reporting HADS ≥ 8 was found in users of diuretics, lipid-lowering agents, nitrates, antiarrhythmics and beta-blockers compared to patients with no prescription. CONCLUSION: Some cardiac drugs were associated with self-reported symptoms of anxiety among patients with cardiac disease. Of these drugs neuropsychiatric side effects were only reported for antiarrhythmics and beta-blockers. Increased awareness about the possible adverse effects from these drugs are important.

Exercise-Based Real-time Telerehabilitation for Older Adult Patients Recently Discharged After Transcatheter Aortic Valve Implantation: Mixed Methods Feasibility Study.

BACKGROUND: The use of telehealth technology to improve functional recovery following transcatheter aortic valve implantation (TAVI) has not been investigated. OBJECTIVE: In this study, we aimed to examine the feasibility of exercise-based cardiac telerehabilitation after TAVI. METHODS: This was a single-center, prospective, nonrandomized study using a mixed methods approach. Data collection included testing, researchers' observations, logbooks, and individual patient interviews, which were analyzed using a content analysis approach. The intervention lasted 3 weeks and consisted of home-based web-based exercise training, an activity tracker, a TAVI information website, and 1 web-based session with a nurse. RESULTS: Of the initially included 13 patients, 5 (40%) completed the study and were interviewed; the median age was 82 (range 74-84) years, and the sample comprised 3 men and 2 women. Easy access to supervised exercise training at home with real-time feedback and use of the activity tracker to count daily steps were emphasized by the patients who completed the intervention. Reasons for patients not completing the program included poor data coverage, participants' limited information technology skills, and a lack of functionality in the systems used. No adverse events were reported. CONCLUSIONS: Exercise-based telerehabilitation for older people after TAVI, in the population as included in this study, and delivered as a web-based intervention, does not seem feasible, as 60% (8/13) of patients did not complete the study. Those completing the intervention highly appreciated the real-time feedback during the web-based training sessions. Future studies should address aspects that support retention rates and enhance patients' information technology skills.

Gender differences in patient-reported outcomes in patients with acute myocardial infarction.

AIMS: Women report worse health-related patient-reported outcomes (PROs) compared with men following acute myocardial infarction (AMI). However, this association is not well established when accounting for demographic and clinical patient characteristics at discharge. This knowledge is essential for clinicians when planning individualised care for patients following AMI. The aim of this study is to examine whether gender is associated with health-related PROs at discharge from a Danish heart centre, combining PROs with data from the national health and administrative registries. METHODS AND RESULTS: A cross-sectional study of 2131 patients with AMI discharged from a Danish heart centre responding to the following health-related PRO questionnaires: the Health-survey Short-Form-12 (SF-12), generating a physical component summary (PCS) and a mental component summary (MCS) score; the HeartQoL, providing a global, emotional, and physical score; the EuroQol five-dimensional questionnaire (EQ-5D-5L) and the EQ visual analogue scale (EQ VAS); the Hospital Anxiety and Depression Scale (HADS), generating an anxiety and depression score (HADS-A and HADS-D); the Edmonton Symptom Assessment Scale (ESAS); the Brief Illness Perception Questionnaire (B-IPQ). Patient-reported outcomes were linked to registry-based information adjusting for potential demographic and clinical confounding factors. In adjusted regression models, women reported worse health-related PROs compared with men in SF-12 PCS and SF-12 MCS, HeartQoL global, the HeartQoL emotional and HeartQoL physical score, EQ-5D-5L and EQ VAS, the HADS-A, ESAS, and in six out of eight B-IPQ items. CONCLUSIONS: Women reported worse health-related PROs compared with men. Health-related PROs have the potential to be further investigated to facilitate a more individualised healthcare follow-up after AMI.

Exploring the use of psychotropic medication in cardiac patients with and without anxiety and its association with 1-year mortality.

AIMS: Comorbid psychiatric disorders and the use of psychotropic medication are common among cardiac patients and have been found to increase the risk of mortality. The aims of this study were: (i) to describe the use of psychotropic medication among cardiac patients with and without symptoms of anxiety, (ii) to estimate the association between use of psychotropic medication prior to hospital admission and all-cause, 1-year mortality following discharge, and (iii) to estimate the risk of mortality among users and non-users of psychotropic medication with or without self-reported symptoms of anxiety. METHODS AND RESULTS: Cardiac patients from the DenHeart survey were included, providing information on self-reported symptoms of anxiety. From national registers, information on the use of psychotropic medication 6 months prior to hospitalization and mortality was obtained. By logistic regression analyses, the association between the use of psychotropic medication, anxiety, and all-cause, 1-year mortality was estimated. The risk of subsequent incident use of psychotropic medication among patients with and without anxiety was furthermore explored. All analyses were fully adjusted. A total of 12 913 patients were included, of whom 18% used psychotropic medication, and 3% died within 1 year. The use of psychotropic medication was found to be associated with increased 1-year all-cause mortality [odds ratio 1.90 (95% confidence interval, 1.46-2.46)]. Patients with symptoms of anxiety were significantly more likely to use psychotropic medication following hospital discharge [2.47 (2.25-2.72)]. CONCLUSION: The use of psychotropic medication was associated with 1-year mortality. Thus, the use of psychotropic medication might explain some of the association between anxiety and mortality; however, the association is probably mainly a reflection of the underlying mental illness, rather than the use of psychotropic medication.

Cause of Death Among Cardiac Patients With and Without Anxiety.

BACKGROUND: Mental distress is reported internationally among patients with cardiac disease. A Danish survey found that 25% of patients with cardiac disease experienced symptoms indicating anxiety and that anxiety was associated with an increased risk of death. AIM: The aims of this study were to (1) compare cause of death patterns among deceased cardiac patients with anxiety to those without anxiety and (2) examine the association between anxiety symptoms and specific causes of death. METHODS: We used data from the DenHeart survey to evaluate symptoms of anxiety at discharge by using the Hospital Anxiety and Depression Scale. Data on mortality in the 3 years after discharge and cause of death according to International Classification of Diseases-10 classification came from national registers. Cause of death was compared between patients with and without anxiety using χ2 tests. The association between symptoms of anxiety and cause of death was investigated using logistic regression. RESULTS: Of 12 913 patients included, a total of 1030 (8%) died within 3 years. After 1 year, 4% of patients with anxiety symptoms had died versus 2% of patients without; after 3 years, the proportions were 9% versus 8%, respectively. Almost all died of natural causes irrespective of anxiety symptoms. No statistically significant differences were found regarding the cause of death between patients with and without anxiety. CONCLUSION: Despite higher mortality rates in patients with cardiac disease with anxiety symptoms, the pattern of cause of death was identical for patients with cardiac disease with and without anxiety symptoms. It seems that an acceleration of morbid processes leading to mortality is more likely than a difference in cause of death. However, further research is needed to better understand the behavioral and pathophysiological processes that cause the higher mortality seen among patients reporting symptoms of anxiety.

Caring for patients displaying agitated behaviours in the intensive care unit - A mixed-methods systematic review.

BACKGROUND: Patient agitation is common in the intensive care unit (ICU), with consequences for both patients and health professionals if not managed effectively. Research indicates that current practices may not be optimal. A comprehensive review of the evidence exploring nurses' experiences of caring for these patients is required to fully understand how nurses can be supported to take on this important role. OBJECTIVES: The aim of this study was to identify and synthesise qualitative and quantitative evidence of nurses' experiences of caring for patients displaying agitated behaviours in the adult ICU. METHODS: A mixed-methods systematic review was conducted. MEDLINE, CINAHL, PsycINFO, Web of Science, Emcare, Scopus, ProQuest, and Cochrane Library were searched from database inception to July 2020 for qualitative, quantitative, and mixed-methods studies. Peer-reviewed, primary research articles and theses were considered for inclusion. A convergent integrated design, described by Joanna Briggs Institute, was utilised transforming all data into qualitative findings before categorising and synthesising to form the final integrated findings. The review protocol was registered with PROSPERO CRD42020191715. RESULTS: Eleven studies were included in the review. Integrated findings include (i) the strain of caring for patients displaying agitated behaviours; (ii) attitudes of nurses; (iii) uncertainty around assessment and management of agitated behaviour; and (iv) lack of effective collaboration and communication with medical colleagues. CONCLUSIONS: This review describes the challenges and complexities nurses experience when caring for patients displaying agitated behaviours in the ICU. Findings indicate that nurses lack guidelines together with practical and emotional support to fulfil their role. Such initiatives are likely to improve both patient and nurse outcomes.

Patient-reported outcomes, clinical, and demographic variables as predictors of withdrawal from the workforce after hospitalization with heart failure: findings from the national DenHeart survey.

AIMS: Increased prevalence and survival among patients with heart failure draws attention to their everyday life, including their ability to work. Many patients with heart failure withdraw from the workforce, which can affect their quality of life. The aim was to investigate patient-reported outcomes (PROs) and clinical and demographic variables as predictors of withdrawal from the workforce after admission with a diagnose of heart failure. METHODS AND RESULTS: Patients with heart failure, who were part of the workforce at admission were included from the national cross-sectional survey, DenHeart. Data were collected from five national heart centres in Denmark, from April 2013 to April 2014. Patient-reported outcomes measured at discharge included SF-12, HeartQoL, HADS, and ESAS. Clinical and demographic variables were obtained from registers, medical records, and index hospitalization. Patient-reported outcomes, clinical, and demographic variables were combined with labour market affiliation 3, 6, 9, and 12 months after admission. The response rate was 49.1% (n = 1517) and of those 364 patients were part of the workforce at index admission. Patients with lower QoL odds ratio (OR) 2.58 [95% confidence interval (CI) 1.24-5.37], symptoms of depression OR 2.57 (95% CI 1.47-4.50) and ejection fraction (EF) ≤35% OR 2.48 (95% CI 1.35-4.56) were more likely to withdraw from the workforce in the first year after admission. Patients with lower symptom burden OR 0.36 (95% CI 0.19-0.68) and a hospital stay of 0-2 days OR 0.18(95% CI 0.08-0.37) were less likely to withdraw. CONCLUSION: Low QoL, high symptom burden, symptoms of depression, a longer length of hospital stay, and low EF can predict withdrawal from the workforce in the first year after admission with heart failure.

Are patient-reported outcomes at discharge associated with employment status after cardiac hospitalization? Results from the national DenHeart study.

INTRODUCTION: In patients hospitalized for cardiac disease, a more comprehensive understanding of the potential predictors of returning to the workforce or detachment from employment is lacking. AIM: The aims were (i) to explore the patterns of employment status within 1 year following hospital discharge and (ii) to investigate the association between self-reported physical health, mental health, and symptom burden at discharge and employment status at 13, 26, and 52 weeks, respectively, following discharge. METHODS AND RESULTS: Patients discharged from Danish heart centres from April 2013 to April 2014 who were a part of the workforce prior to hospitalization and aged 18-63 were included. Questionnaires were used to measure physical and mental health and symptom burden. Information on comorbidity and return to the workforce was obtained from registers. Multiple logistic regression models were used to estimate the associations between self-reported health status and returning to the workforce. Of the 5365 patients, 14.1% had not returned to the workforce 52 weeks after discharge. Patients admitted due to 'observation for a cardiac disease' had the highest proportion (89.4%) and patients with heart failure had the lowest proportion (72.6%) of returning to the workforce. Poor self-reported physical and mental health and high symptom burden were associated with detachment from the workforce. CONCLUSION: Self-reported health status measured at discharge may be beneficial for identifying patients at increased risk of detachment from the workforce. Occupational initiatives may be implemented in the initial period after discharge, remembering that not all patients will benefit from returning to the workforce.

Prognostic value of a brief loneliness questionnaire for patients with coronary heart disease: Proposal for a prediction model.

BACKGROUND: In patients with coronary heart disease (CHD), loneliness is associated with increased risk of morbidity and mortality. No predictive tool is available to detect patients who are influenced by loneliness to a degree that impacts mortality. AIM: To: (i) propose a prediction model that detects patients influenced by loneliness to a degree that increases one-year all-cause mortality, (ii) evaluate model classification performance of the prediction model, and (iii) investigate potential questionnaire response errors. METHOD: A cohort of patients with CHD (n = 7169) responded to a national cross-sectional survey, including two questions on loneliness. Information on cohabitation and follow-up information on one-year all-cause mortality were obtained from national registers. Prediction model development was based on the prognostic values of item responses in the questionnaire on loneliness and of cohabitation, evaluated with Cox-proportional Hazards Ratio (HR). Item responses which significantly predicted one-year mortality were included in the high-risk loneliness (HiRL) prediction model. Sensitivity, specificity and likelihood ratio were calculated to evaluate model classification performance. Sources of response errors were evaluated using verbal probing technique in an additional cohort (n = 7). The TRIPOD checklist has been used to ensure transparent reporting. RESULTS: Two item responses significantly predicted one-year mortality HR = 2.24 (95%CI = 1.24-4.03) and HR = 2.65 (95%CI = 1.32-5.32) and were thus included in the model. Model classification performance showed a likelihood ratio of 1.89. Response error was evaluated as low. CONCLUSION: Based on the prognostic value in a loneliness questionnaire, a prediction model suitable to screen patients with CHD for high-risk loneliness was suggested. RELEVANCE TO CLINICAL PRACTICE: The HiRL prediction model is a short and easy-to-use screening tool that offers clinical staff to identify patients with CHD who are influenced by loneliness to a degree that impacts mortality. However, further evaluation of model performance and questionnaire validation is recommended before integrating the model into clinical practice.

Patient-reported outcomes, sociodemographic and clinical factors are associated with 1-year mortality in patients with ischemic heart disease-findings from the DenHeart cohort study.

PURPOSE: In patients with ischemic heart disease, the objectives were (1) to explore associations between patient-reported outcomes, sociodemographic, and clinical factors at discharge and 1-year all-cause mortality and (2) to investigate the discriminant predictive performance of the applied patient-reported outcome instruments on 1-year all-cause mortality. METHODS: Data from the Danish national DenHeart cohort study were used. Eligible patients (n = 13,476) were invited to complete a questionnaire-package, of which 7167 (53%) responded. Questionnaires included the 12-item Short form health survey (SF-12), Hospital anxiety and depression scale (HADS), EQ-5D, HeartQoL, Edmonton symptom assessment scale (ESAS), and ancillary questions on, e.g., social support. Clinical and demographic characteristics were obtained from registers, as were data on mortality. Comparative analyses were used to investigate differences in patient-reported outcomes. Mortality associations were explored using multifactorially adjusted Cox regression analyses. Predictive performance was analyzed using receiver operating characteristics (ROC). RESULTS: Patient-reported outcomes at discharge differed among those alive versus those deceased at one year, e.g., depression (HADS-Depression ≥ 8) 19% vs. 44% (p < 0.001). Associations with 1-year mortality included feeling unsafe about returning home from the hospital; hazard ratio (HR) 2.07 (95% CI 1.2-3.61); high comorbidity level, HR 3.6 (95% CI 2.7-4.8); and being unmarried, HR 1.60 (95% CI 1.33-1.93). Best predictive performance was observed for SF-12 physical component summary (Area under the curve (AUC) 0.706). CONCLUSION: Patient-reported health, sociodemographic, and clinical factors are associated with 1-year mortality. We propose systematic screening with robust predictive tools to identify patients at risk and healthcare initiatives to explore and offer effective treatment to modify patient-reported health indicators.