Prevalence of psychological distress in elderly hypertension patients in primary care

Background Recent guidelines on cardiovascular disease prevention advocate the importance of psychological risk factors, as they contribute to the risk of developing cardiovascular disease. However, most previous research on psychological distress and cardiovascular factors has focused on selected populations with cardiovascular disease. Aim The primary aim was to determine the prevalence of depression, anxiety, and Type D personality in elderly primary care patients with hypertension. Secondary aim was to examine the relation between elevated systolic blood pressure and depression, anxiety, and Type D personality. Design and Setting A cross-sectional study in primary care practices located in the south of the Netherlands. Method Primary care hypertension patients (N = 605), between 60 and 85 years (45 % men, mean age = 70 ± 6.6), were recruited for this study. All patients underwent a structured interview including validated self-report questionnaires to assess depression (PHQ-9), anxiety (GAD-7), and Type D personality (DS14) as well as blood pressure assessment. Results and Conclusion Depression was prevalent in 5 %, anxiety in 5 %, and Type D personality in 8 %. None of the distress measures were associated with elevated systolic blood pressure of >160 mmHg (all p-values >0.05). This study showed no relation between psychological distress and elevated systolic blood pressure in elderly primary care patients with hypertension.Keywords: Hypertension, Psychological distress, Primary care, Depression, Anxiety, Type D personalit

Investigating a TELEmedicine solution to improve MEDication adherence in chronic Heart Failure (TELEMED-HF):Study protocol for a randomized controlled trial

BACKGROUND: Frequent rehospitalisations and poorer survival chances in heart failure (HF) patients may partly be explained by poor medication adherence. There are multiple medication-related reasons for suboptimal adherence, but psychological reasons may also be important. A novel TELEmonitoring device may improve MEDication adherence in HF patients (TELEMED-HF). TELEMED-HF is a randomized, controlled clinical intervention trial designed to examine (1) the efficacy and cost-efficiency of an electronic medication adherence support system in improving and monitoring HF patients' medication adherence; (2) the effect of medication adherence on hospitalizations and health care consumption; as well as on (3) clinical characteristics, and Quality of Life (QoL); and (4) clinical, sociodemographic, and psychological determinants of medication adherence. METHODS/DESIGN: Consecutive patients with chronic, systolic HF presenting to the outpatient clinic of the TweeSteden Hospital, The Netherlands, will be approached for study participation and randomly assigned (1:1) following blocked randomization procedures to the intervention (n = 200) or usual care arm (n = 200). Patients in the intervention arm use the medication support device for six months in addition to usual care. Post-intervention, patients return to usual care only and all patients participate in four follow-up occasions over 12 months. Primary endpoints comprise objective and subjective medication adherence, healthcare consumption, number of hospitalizations, and cost-effectiveness. Secondary endpoints include disease severity, physical functioning, and QoL. DISCUSSION: The TELEMED-HF study will provide us a comprehensive understanding of medication adherence in HF patients, and will show whether telemonitoring is effective and cost-efficient in improving adherence and preventing hospitalization in HF patients. TRIAL REGISTRATION NUMBER: NCT01347528

Subjectively reported symptoms in patients with persistent atrial fibrillation and emotional distress

Background: Patients with atrial fibrillation (AF) are characterized by emotional distress and poor quality of life. Little is known about the relation between emotional distress and subjectively reported AF symptoms. Our aims were to compare emotional distress levels in AF patients with distress levels in the general population and to examine the cross-sectional and prospective relationship between subjective AF symptom reports and emotional distress around electrical cardioversion (ECV). Methods: At baseline, this study included 118 patients with persistent AF planned for ECV (aged 68 ± 10 years, 60% men) in which depression (BDI), anxiety (STAI), Type D personality (DS14), perceived stress (PSS-10), and AF symptoms (ATSSS) were assessed. The prospective substudy included 52 patients. Objective AF status was determined by ECG. Results: AF patients experienced significantly higher levels of anxiety (p < 0.001) and depression (p < 0.001) than age and gender matched persons from the general population. Linear regression analyses showed that AF patients with higher depression levels reported significantly more AF symptoms (β = 0.44; p < 0.0005) and reported symptoms to occur with a higher frequency (β = 0.51; p < 0.0005) during the AF episode, independent of age, sex, cardiac disease, BMI, and physical activity. At 4 weeks follow-up, 56% of all patients had maintained sinus rhythm. Repeated Measures Linear mixed modeling showed that these patients reported fewer AF symptoms and a lower frequency of AF symptoms pre and post-ECV (p = 0.04). Also, the course of the number and frequency of reported symptoms was significantly associated with the change in depression over that same time period (p < 0.0005). Conclusion: Patients with persistent AF are characterized by emotional distress. Distressed AF patients, particularly the depressed, report more AF symptoms before and after ECV. These findings call for increased attention of clinicians to emotional distress in this patient population

Latent profiles of telehealth care satisfaction during the COVID-19 pandemic among patients with cardiac conditions in an outpatient setting

BackgroundDuring the COVID-19 pandemic, telemedicine was advocated and rapidly scaled up worldwide. However, little is known about for whom this type of care is acceptable.ObjectiveTo examine which patient characteristics (demographic, medical, psychosocial) are associated with telehealth care satisfaction, attitude toward telehealth, and preference regarding telehealth over time in a cardiac patient population.MethodsIn total, 317 patients were recruited at the Elisabeth-TweeSteden Hospital in The Netherlands. All patients who had received telehealth care (telephone and video) in the previous 2 months were approached for participation. Baseline, 3-month, and 6-month questionnaires were administered online. A 3-step latent class analysis was conducted to identify trajectories of telehealth use over time and the possible association of the found trajectories with external variables.ResultsFive trajectories (classes) were identified for satisfaction with telehealth and 4 for attitude toward telehealth. Patients with higher distress, lower physical and mental health, higher scores on pessimism, and negative affectivity were more likely to be less satisfied. Patients with no partner, more comorbidities, higher distress, lower physical and mental health, and higher scores on pessimism were more likely to hold a negative attitude toward telehealth. For the future application of telehealth, marital status, comorbidities, digital health literacy, and pessimism were significantly related.ConclusionResults show that patients’ profiles should be considered when offering telehealth care and that the “one size fits all” approach does not apply. Results can inform clinical practice on how to better implement remote health care in the future while considering a personalized approach.<br/

Healthcare utilization in patients with first-time implantable cardioverter defibrillators (data from the WEBCARE study)

Background Knowledge of the level of healthcare utilization (HCU) and the predictors of high HCU use in patients with an implantable cardioverter defibrillator (ICD) is lacking. We examined the level of HCU and predictors associated with increased HCU in first‐time ICD patients, using a prospective study design. Methods ICD patients (N = 201) completed a set of questionnaires at baseline and 3, 6, and 12 months after inclusion. A hierarchical multiple linear regression with three models was performed to examine predictors of HCU.ResultsHCU was highest between baseline and 3 months postimplantation and gradually decreased during 12 months follow‐up. During the first year postimplantation, only depression (β = 0.342, P = 0.002) was a significant predictor. Between baseline and 3 months follow‐up, younger age (β = −0.220, P < 0.01), New York Heart Association class III/IV (β = 0.705, P = 0.01), and secondary indication (β = 0.148, P = 0.05) were independent predictors for increased HCU. Between 3 and 6 months follow‐up, younger age (β = −0.151, P = 0.05) and depression (β = 0.370, P < 0.001) predicted increased HCU. Between 6 and 12 months only depression (β = 0.355, P = 0.001) remained a significant predictor.  Conclusions Depression was an important predictor of increased HCU in ICD patients in the first year postimplantation, particularly after 3 months postimplantation. Identifying patients who need additional care and provide this on time might better meet patients’ needs and lower future HCU

Sleep disturbance in patients with an implantable cardioverter defibrillator:Prevalence, predictors and impact on health status

Background:  Sleep disturbances are highly prevalent in patients with cardiac diseases and associated with poor health outcomes. However, little is known about sleep disturbance in patients with an implantable cardioverter defibrillator. Aims:  We examined the prevalence and predictors of sleep disturbance and the impact on perceived health status in a Dutch cohort of implantable cardioverter defibrillator patients. Methods:  Patients ( n=195) enrolled in the Web-based distress program for implantable cardioverter defibrillator patients (WEBCARE) trial completed questionnaires at the time of implantable cardioverter defibrillator implantation, three, six and 12 months afterwards. Sleep disturbance was assessed with the corresponding item #3 of the Patient Health Questionnaire 9. Results:  At baseline, 67% ( n=130) reported sleep disturbance (cut off ≥1). One year later, the prevalence was 57% ( n=112). Younger age (odds ratio=0.96, 95% confidence interval 0.92-0.99; p=0.012) and high negative affectivity/low social inhibition (odds ratio=4.47, 95% confidence interval 1.52-13.17; p=0.007) were associated with sleep disturbance at 12 months in adjusted analyses. Sleep disturbance was not associated with health status at 12 months. Charlson Comorbidity Index, anxiety, Type D personality and high negative affectivity/low social inhibition were associated with impaired health status at follow-up. Conclusions:  Sleep disturbance was highly prevalent in patients with an implantable cardioverter defibrillator. Younger age and high negative affectivity predicted sleep disturbance 12 months post-implantation independent of other demographic, clinical, intervention and psychological covariates. Sleep disturbance was not associated with impaired health status at the 12-month follow-up

Development and external validation of prediction models to predict implantable cardioverter-defibrillator efficacy in primary prevention of sudden cardiac death

Aims This study was performed to develop and externally validate prediction models for appropriate implantable cardioverter-defibrillator (ICD) shock and mortality to identify subgroups with insufficient benefit from ICD implantation.Methods and results We recruited patients scheduled for primary prevention ICD implantation and reduced left ventricular function. Bootstrapping-based Cox proportional hazards and Fine and Gray competing risk models with likely candidate predictors were developed for all-cause mortality and appropriate ICD shock, respectively. Between 2014 and 2018, we included 1441 consecutive patients in the development and 1450 patients in the validation cohort. During a median follow-up of 2.4 (IQR 2.1-2.8) years, 109 (7.6%) patients received appropriate ICD shock and 193 (13.4%) died in the development cohort. During a median follow-up of 2.7 (IQR 2.0-3.4) years, 105 (7.2%) received appropriate ICD shock and 223 (15.4%) died in the validation cohort. Selected predictors of appropriate ICD shock were gender, NSVT, ACE/ARB use, atrial fibrillation history, Aldosterone-antagonist use, Digoxin use, eGFR, (N)OAC use, and peripheral vascular disease. Selected predictors of all-cause mortality were age, diuretic use, sodium, NT-pro-BNP, and ACE/ARB use. C-statistic was 0.61 and 0.60 at respectively internal and external validation for appropriate ICD shock and 0.74 at both internal and external validation for mortality.Conclusion Although this cohort study was specifically designed to develop prediction models, risk stratification still remains challenging and no large group with insufficient benefit of ICD implantation was found. However, the prediction models have some clinical utility as we present several scenarios where ICD implantation might be postponed.Cardiolog