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.

Validity of a smartwatch for detecting atrial fibrillation in patients after heart valve surgery: a prospective observational study.

OBJECTIVES: Atrial fibrillation (AF) is a common early arrhythmia after heart valve surgery that limits physical activity. We aimed to evaluate the criterion validity of the Apple Watch Series 5 single-lead electrocardiogram (ECG) for detecting AF in patients after heart valve surgery. DESIGN: We enrolled 105 patients from the University Hospital of North Norway, of whom 93 completed the study. All patients underwent single-lead ECG using the smartwatch three times or more daily on the second to third or third to fourth postoperative day. These results were compared with continuous 2-4 days ECG telemetry monitoring and a 12-lead ECG on the third postoperative day. RESULTS: On comparing the Apple Watch ECGs with the ECG monitoring, the sensitivity and specificity to detect AF were 91% (75, 100) and 96% (91, 99), respectively. The accuracy was 95% (91, 99). On comparing Apple Watch ECG with a 12-lead ECG, the sensitivity was 71% (62, 100) and the specificity was 92% (92, 100). CONCLUSION: The Apple smartwatch single-lead ECG has high sensitivity and specificity, and might be a useful tool for detecting AF in patients after heart valve surgery.

Discharge Information About Adverse Drug Reactions Indicates Lower Self-Reported Adverse Drug Reactions and Fewer Concerns in Patients After Percutaneous Coronary Intervention.

AIM: There are discrepancies between the information patients desire about adverse drug reactions (ADRs) and the information they receive from healthcare providers; this is an impediment to shared decision-making. This study aimed to establish whether patients received information about ADRs resulting from prescribed pharmacotherapy, before hospital discharge, after percutaneous coronary intervention (PCI) and to determine whether receiving information about ADRs was associated with incidence of self-reported ADRs or concerns related to prescribed pharmacotherapy. METHODS: CONCARDPCI, a prospective multicentre cohort study including 3,417 consecutive patients after PCI, was conducted at seven high-volume referral PCI centres in two Nordic countries. Clinical data were collected from patients' medical records and national quality registries. Patient-reported outcome measures were registered 2 months (T1), 6 months (T2), and 12 months (T3) after discharge. Covariate-adjusted logistic regression yielded adjusted odds ratios (aORs) with 95% confidence intervals (CIs). RESULTS: At discharge, 38% of participants had been informed about potential ADRs. For these patients, the incidence of self-reported ADRs was significantly lower at T1 (aOR 0.61, 95% CI 0.50-0.74; p<0.001), T2 (aOR 0.60, 95% CI 0.49-0.74; p<0.001), and T3 (aOR 0.57, 95% CI 0.46-0.71; p<0.001). Those who were not informed reported higher levels of concern about prescribed pharmacotherapy at all measuring points (p<0.001 for all comparisons). Those living alone (aOR 0.73, 95% CI 0.57-0.92; p=0.008), who were female (aOR 0.57, 95% CI 0.44-0.72; p<0.001), and with three or more versus no comorbidities (aOR 0.61, 95% CI 0.44-0.84; p=0.002) were less likely to receive information. CONCLUSION: A substantial proportion of patients were not informed about potential ADRs from prescribed pharmacotherapy after PCI. Patients informed about ADRs had lower incidences of self-reported ADRs and fewer concerns about prescribed pharmacotherapy.

Cognitive impairment and psychopathology in sudden out-of-hospital cardiac arrest survivors: Results from the REVIVAL cohort study.

AIM: To investigate cognitive impairment and psychopathology in out-of-hospital cardiac arrest (OHCA) survivors using a screening procedure during hospitalisation and examine the evolution of these parameters at three-month follow-up. METHODS: This multicentre cohort study screened for cognitive impairment using the Montreal Cognitive Assessment (MoCA), for symptoms of anxiety, depression and traumatic distress using the Hospital Anxiety and Depression Scale (HADS) and the Impact of Event Scale-revised (IES-R) during hospitalisation. At three-month follow-up, we evaluated cognitive impairment with a neuropsychological test battery and symptoms of psychopathology were re-assessed using HADS and IES-R. Logistic regression models were applied to examine associations between screening results and outcomes. RESULTS: This study included 297 OHCA survivors. During hospitalisation, 65% presented with cognitive impairment, 25% reported symptoms of anxiety, 20% symptoms of depression and 21% symptoms of traumatic distress. At follow-up, 53% reported cognitive impairment, 17% symptoms of anxiety, 15% symptoms of depression and 19% symptoms of traumatic distress. Cognitive impairment during hospitalisation was associated with higher odds (OR (95% CI) 2.55 (1.36-4.75), p = .02) of an unfavorable cognitive outcome at follow-up, and symptoms of psychopathology during hospitalisation were associated with higher odds of psychopathology at follow-up across all three symptom groups; anxiety (6.70 (2.40-18.72), p < .001), depression (4.69 (1.69-13.02), p < .001) and traumatic distress (7.07 (2.67-18.73), p < .001). CONCLUSION: OHCA survivors exhibited both cognitive impairment and symptoms of psychopathology during hospitalisation comparable to previous studies, which were associated with unfavorable mental health outcomes at three-month follow-up.

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.

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.

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.

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).

Long-term effects of cardiac rehabilitation after heart valve surgery - results from the randomised CopenHeartVR trial.

Aims. The CopenHeartVR trial found positive effects of cardiac rehabilitation (CR) on physical capacity at 4 months. The long-term effects of CR following valve surgery remains unclear, especially regarding readmission and mortality. Using data from he CopenHeartVR Trial we investigated long-term effects on physical capacity, mental and physical health and effect on mortality and readmission rates as prespecified in the original protocol. Methods. A total of 147 participants were included after heart valve surgery and randomly allocated 1:1 to 12-weeks exercise-based CR including a psycho-educational programme (intervention group) or control. Physical capacity was assessed as peak oxygen uptake (VO2 peak) measured by cardiopulmonary exercise testing, mental and physical health by Short Form-36 questionnaire, Hospital Anxiety and Depression Scale, and HeartQol. Mortality and readmission were obtained from hospital records and registers. Groups were compared using mixed regression model analysis and log rank test. Results. No differences in VO2 peak at 12 months or in self-assessed mental and physical health at 24 months (68% vs 75%, p = .120) was found. However, our data demonstrated reduction in readmissions in the intervention group at intermediate time points; after 3, 6 (43% vs 59%, p = .03), and 12 (53% vs 67%, p = .04) months, respectively, but no significant effect at 24 months. Conclusions. Exercise-based CR after heart valve surgery reduces combined readmissions and mortality up to 12 months despite lack of improvement in exercise capacity, physical and mental health long-term. Exercise-based CR can ensure short-term benefits in terms of physical capacity, and lower readmission within a year, but more research is needed to sustain these effects over a longer time period. These considerations should be included in the management of patients after heart valve surgery.

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.

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.

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.

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.

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.