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.

AIMS:Systematic use of patient-reported outcomes (PROs) have the potential to improve quality of care and reduce costs of health care services. We aimed to describe whether PROs in patients diagnosed with heart disease are directly associated with health care costs.METHODS AND RESULTS:A national cross-sectional survey including PROs at discharge from a heart centre with 1-year follow-up using data from national registers. We included patients with either ischaemic heart disease (IHD), arrhythmia, heart failure (HF), or valvular heart disease (VHD). The Hospital Anxiety and Depression Scale, the heart-specific quality of life, the EuroQol five-dimensional questionnaire, and the Edmonton Symptom Assessment Scale were used. The economic analysis was based on direct costs including primary, secondary health care, and medical treatment. Patient-reported outcomes were available from 13 463 eligible patients out of 25.241 [IHD (n = 7179), arrhythmia (n = 4322), HF (n = 987), or VHD (n = 975)]. Mean annual total direct costs in all patients were €23 228 (patients with IHD: €19 479, patients with arrhythmia: €21 076, patients with HF: €34 747, patients with VDH: €48 677). Hospitalizations contributed overall to the highest part of direct costs. For patients discharged with IHD or arrhythmia, symptoms of anxiety or depression, worst heart-specific quality of life or health status, and the highest symptom burden were associated with increased economic expenditure. We found no associations in patients with HF or VHD.CONCLUSION:Patient-reported outcomes at discharge from a heart centre were associated with direct health care costs in patients with IHD and arrhythmia.REGISTRATION:ClinicalTrials.gov: NCT01926145.

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).

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.

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 work-force 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 pro-longed 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. (c) 2022 The Author(s). Published by Elsevier Inc.

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 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. 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). 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. 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.

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.

BackgroundBecause 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.ObjectiveThe 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.MethodsData 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.ResultsIn 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.ConclusionHigh observed readmission rates were associated with risk factors that included anxiety and depression. Postablation care should address these risk factors.

The reactivity of monoclonal antibodies (Mabs) raised against a cyclic peptide representing a chimeric V3 loop of HIV-1 gp120 with different peptide analogues was studied with a biosensor system (BIAcore) and by ELISA. In both assays, the Mabs cross-reacted extensively with the V3 regions of different HIV-1 strains and recognized the cyclic form of the peptide immunogen better than its linear form. The highest degree of cross-reactivity was observed with peptides that shared a Lys312 with the chimeric sequence. Dissociation rate constants of ten Mabs measured with the BIAcore with respect to different peptides increased with increasing numbers of substitutions in the flanking regions of the V3 tip sequence Gly Pro Gly Arg. Immobilization of the cyclic peptide on the sensor chip via a thiol group added near the end of the loop structure preserved the conformation of the peptide. In view of the good correlation between the BIAcore and ELISA results, biosensor data should be useful for selecting peptides to be used in diagnostic solid phase assays.

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.

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 χ 2 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.

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.

Aim: To explore how hospital nurses experienced their work situation during the COVID-19 pandemic and how this affected the conduct of their professional and their everyday life. Methods: Interviews using critical psychology. A total of 24 nurses participated, representing departments of both medicine and surgical specialties. All nurses worked either in the department where they are usually stationed or were recruited from other departments to the COVID-19 department. Results: Five themes were identified: (1) COVID-19 had importance to nurses' sense of self as a nurse; (2) a new solidarity developed; (3) professional reflections-caring for patients; (4) the importance of recognition and humiliation and (5) COVID-19 had consequences for the nurses' conduct of everyday life. Conclusion: The findings showed that some nurses caring for patients with COVID-19 experienced a new solidarity with their colleagues. Other nurses found it to have a negative impact on their conduct of their professional life.

Aims Readiness for hospital discharge describes a patient's perception of feeling prepared to leave the hospital. In mixed patient populations, readiness for hospital discharge has shown to predict readmission and mortality in the short term. The objectives of a population of men and women with cardiac diseases, were to investigate: (i) whether readiness for hospital discharge predicts readmission and mortality within 1-year post-discharge, as well as (ii) the association between 'physical stability', 'adequate support', 'psychological ability', and 'adequate information and knowledge' and readiness for hospital discharge. Methods and results Data from the national cross-sectional survey DenHeart were used and included patients with cardiac diseases at hospital discharge. Readiness for hospital discharge was evaluated by one self-reported question, and attributes were illuminated by Short-Form-12, the Edmonton Symptom Assessment Scale and ancillary questions. Data were combined with national registries at baseline and at 1-year follow-up. Cox proportional-hazards model were used to regress readmission and mortality. The analysis included 13 114 patients (response rate: 52%). The majority responded that they felt ready for hospital discharge (95%). Feeling unready (n=618) was a predictor of 1 year, all-cause readmission among women and men [hazard ratio (HR) = 1.43, 95% confidence interval (CI) 1.18-1.74; HR = 1.59, 95% CI 1.34-1.90]. No significant results were found on all-cause mortality. The four attributes were associated with unreadiness at hospital discharge. Conclusion Not feeling ready for hospital discharge was a predictor of increased readmission risk in women and men with cardiac disease during 1 year after hospital discharge. Four attributes were significantly impaired in patients feeling unready for hospital discharge.

Background Illness perception is composed of thoughts, ideas, and beliefs about illness, and a negative illness perception is known to be associated with poor outcomes. Among men and women, clinical outcomes after heart valve surgery are known to differ, but knowledge about differences in illness perception is sparse. Objectives The aim of this study is to describe the differences in illness perception among men and women after open heart valve surgery and to identify sociodemographic and clinical characteristics associated with worse illness perception in men and women. Methods In a national cross-sectional study combined with register-based clinical and sociodemographic information, data on illness perception were collected with the Brief Illness Perception Questionnaire. Worse illness perception was defined as the worst quartile of each item of the Brief Illness Perception Questionnaire. Multiple logistic regression analyses were conducted to explore characteristics associated with worse illness perception. Results Of 1084 eligible patients, 32% (n = 349) completed the questionnaire (67% men; mean age, 68 years). Compared with men, women reported significantly worse scores of illness perception in 6 of 8 items. Furthermore, being female, age, length of stay, and comorbidity were associated with worse illness perception (worse quartile of scores). Age, higher educational level, and comorbidity were found to be associated with worse illness perception for men and length of stay for women. Conclusion After open heart valve surgery, illness perception differs among men and women, with women having worse illness perception. Among the total population, being female, age, a longer length of stay, and comorbidity were also associated with worse illness perception.

Aims: An in-depth understanding of the prognostic value of patient-reported outcomes (PRO) is essential to facilitate person-centred care in heart failure (HF). This study aimed to clarify the prognostic role of subjective mental and physical health status in patients with HF. Methods and results: Patients with HF were identified from the DenHeart Survey (n = 1499) and PRO data were obtained at hospital discharge, including the EuroQol five-dimensional questionnaire (EQ-5D), the HeartQoL, and the Hospital Anxiety and Depression Scale (HADS). Clinical baseline data were obtained from medical records and linked to nationwide registries with patient-level data on sociodemographics and healthcare contacts. Outcomes were all-cause and cardiovascular (CV) mortality, CV events, and HF hospitalization with 1- and 3-year follow-up. Analysing the PRO data on a continuous scale, a worse score in the following were associated with risk of all-cause and CV mortality after 1 year: the HeartQoL (adjusted hazard ratios (HRs) 1.91, 95% confidence interval (CI) 1.42-2.57 and 2.17, 95% CI 1.50-3.15, respectively), the EQ-5D (adjusted HRs 1.26, 95% CI 1.15-1.38 and 1.27, 95% CI 1.13-1.42, respectively), the HADS depression subscale (adjusted HRs 1.12, 95% CI 1.07-1.17 and 1.11, 95% CI 1.05-1.17, respectively), and the HADS anxiety subscale (adjusted HRs 1.08, 95% CI 1.03-1.13 and 1.09, 95% CI 1.04-1.15, respectively). Three-year results were overall in concordance with the 1-year results. A similar pattern was also observed for non-fatal outcomes. Conclusion: Health-related quality of life and symptoms of anxiety and depression at discharge were associated with all-cause and CV mortality at 1- and 3-year follow-up.

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. 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). 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). 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.

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.

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.