To evaluate sex differences in the triage and assessment of chest pain in Dutch out-of-hours primary care (OOH-PC).

Prior research illustrated differences between women and men with confirmed cardiac ischemia. However, information on sex differences among patients with undifferentiated chest pain is limited and current protocols used to assess chest pain in urgent primary care in the Netherlands do not account for potential sex differences.

A retrospective cohort study of consecutive patients who contacted a large OOH-PC facility in the Netherlands in 2017 regarding chest pain. We performed descriptive analyses on sex differences in patient and symptom characteristics, triage assessment, and subsequent clinical outcomes, including acute coronary syndrome (ACS).

A total of 1,802 patients were included, the median age was 54 years, and 57.6% were female. Compared to men, women less often had a history of cardiovascular disease (CVD) (16.0% vs 25.8%, p < 0.001) or cardiovascular risk factors (49.3% vs 56.0%, p = 0.005). Symptom characteristics were comparable between sexes. While triage urgencies were more frequently altered in women, the resulting triage urgencies were comparable, including ambulance activation rates (31.1% and 33.5%, respectively, p = 0.33). Musculoskeletal causes were the most common in both sexes; but women were less likely to have an underlying cardiovascular condition (21.1% vs 29.6%, p < 0.001), including ACS (5.4% vs 8.5%, p = 0.019).

Women more frequently sought urgent primary care for chest pain than men. Despite a lower overall risk for cardiovascular events in women, triage assessment and ambulance activation rates were similar to those in men, indicating a potentially less efficient and overly conservative triage approach for women.

Severe fatigue and cognitive complaints are frequently reported after SARS-CoV-2 infection and may be accompanied by depressive symptoms and/or limitations in physical functioning. The long-term sequelae of COVID-19 may be influenced by biomedical, psychological, and social factors, the interplay of which is largely understudied over time. We aimed to investigate how the interplay of these factors contribute to the persistence of symptoms after COVID-19.

RECoVERED, a prospective cohort study in Amsterdam, the Netherlands, enrolled participants aged⩾16 years after SARS-CoV-2 diagnosis. We used a structural network analysis to assess relationships between biomedical (initial COVID-19 severity, inflammation markers), psychological (illness perceptions, coping, resilience), and social factors (loneliness, negative life events) and persistent symptoms 24 months after initial disease (severe fatigue, difficulty concentrating, depressive symptoms and limitations in physical functioning). Causal discovery, an explorative data-driven approach testing all possible associations and retaining the most likely model, was performed.

Data from 235/303 participants (77.6%) who completed the month 24 study visit were analysed. The structural model revealed associations between the putative factors and outcomes. The outcomes clustered together with severe fatigue as its central point. Loneliness, fear avoidance in response to symptoms, and illness perceptions were directly linked to the outcomes. Biological (inflammatory markers) and clinical (severity of initial illness) variables were connected to the outcomes only via psychological or social variables.

Our findings support a model where biomedical, psychological, and social factors contribute to the development of long-term sequelae of SARS-CoV-2 infection.

To evaluate the use of a single-lead electrocardiography (1L-ECG) device and digital cardiologist consultation platform in diagnosing arrhythmias among general practitioners (GPs).

Handheld 1L-ECG offers a user-friendly alternative to conventional 12-lead ECG in primary care. While GPs can safely rule out arrhythmias on 1L-ECG recordings, expert consultation is required to confirm suspected arrhythmias. Little is known about GPs’ experiences with both a 1L-ECG device and digital consultation platform for daily practice.

We used two distinct methods in this study. First, in an observational study, we collected and described all cases shared by GPs within a digital cardiologist consultation platform initiated by a local GP cooperative. This GP cooperative distributed KardiaMobile 1L-ECG devices among all affiliated GPs (n = 203) and invited them to this consultation platform. In the second part, we used an online questionnaire to evaluate the experiences of these GPs using the KardiaMobile and consultation platform.

In total, 98 (48%) GPs participated in this project, of whom 48 (49%) shared 156 cases. The expert panel was able to provide a definitive rhythm interpretation in 130 (83.3%) shared cases and answered in a median of 4 min (IQR: 2–18). GPs responding to the questionnaire (n = 43; 44%) thought the KardiaMobile was of added value for rhythm diagnostics in primary care (n = 42; 98%) and easy to use (n = 41; 95%). Most GPs (n = 36; 84%) valued the feedback from the cardiologists in the consultation platform. GPs experienced this project to have a positive impact on both the quality of care and diagnostic efficiency for patients with (suspected) cardiac arrhythmias. Although we lack a comprehensive picture of experienced impediments by GPs, solving technical issues was mentioned to be helpful for further implementation. More research is needed to explore reasons of GPs not motivated using these tools and to assess real-life clinical impact.

Studies on the association between depression and dementia risk mostly use sum scores on depression questionnaires to model symptomatology severity. Since individual items may contribute differently to this association, this approach has limited validity.

We used network analysis to investigate the functioning of individual Geriatric Depression Scale (GDS-15) items, of which, based on studies that used factor analysis, 3 are generally considered to measure apathy (GDS-3A) and 12 depression (GDS-12D). Functional disability and future dementia were also included in our analysis. Data were extracted from 3229 participants of the Prevention of Dementia by Intensive Vascular care trial (preDIVA), analyzed as a single cohort, yielding 20,542 person-years of observation. We estimated a sparse network by only including connections between variables that could not be accounted for by variance in other variables. For this, we used a repeated L1 regularized regression procedure.

This procedure resulted in a selection of 59/136 possible connections. GDS-3A items were strongly connected to each other and with varying strength to several GDS-12D items. Functional disability was connected to all three GDS-3A items and the GDS-12D items “helplessness” and “worthlessness”. Future dementia was only connected to the GDS-12D item “memory problems”, which was in turn connected to the GDS-12D items “unhappiness” and “helplessness” and all three GDS-3A items.

Network analysis reveals interesting relationships between GDS items, functional disability and dementia risk. We discuss what implications our results may have for (future) research on the associations between depression and/or apathy with dementia.

In old age, both apathy and depression have been associated with an increased cardiovascular disease (CVD) risk. This study evaluated the mediating role of cardiovascular risk factors in the relationship of apathy and mood symptoms with incident CVD.

Prospective cohort study of 1,790 community-dwelling older individuals (70–78 years) without a history of CVD or stroke. At baseline, apathy and mood symptoms were assessed with the 15-item Geriatric Depression Scale (GDS-15), of which three items represent apathy symptoms. The mediational risk factors included were diabetes mellitus (DM), body mass index (BMI), current smoking, physical inactivity, systolic blood pressure, and total cholesterol. Incident CVD was evaluated after two years of follow-up. Data were analyzed using structural equation modeling (SEM).

Incident CVD occurred in 59 (3.3%) participants. Apathy symptoms had a significant estimated total effect on incident CVD, with increases of 2.2% for each unit increase in apathy score. Of this total effect, 22.7% was due to the mediational effects of physical inactivity (13.6%), current smoking (4.5%), and DM (4.5%). The remaining 77.3% was due to direct effects reflecting other mediational dynamics. No significant (in)direct effects of mood symptoms on incident CVD were found.

Physical inactivity, smoking, and DM account for nearly one-fourth of the variation reflecting the link between apathy symptoms and incident CVD. This illustrates the relevance of unfavorable health behaviors and assessment of DM in older individuals with apathy. The majority of the effect of apathy symptoms on incident CVD is caused by other, yet unknown, factors.

Systemic low-grade inflammation has repeatedly been associated with depression in old age, but the relationship with apathy is less clear. The present study assessed whether C-reactive protein (CRP) is differentially associated with symptoms of apathy and depression.

A population-based cohort study was carried-out. At baseline and after two and four years of follow-up, CRP levels were assessed and symptoms of apathy and depression were measured using the 15-item Geriatric Depression Scale. Logistic regression analysis was used to investigate the cross-sectional and longitudinal associations of CRP with symptoms of apathy and depression.

Two thousand forty-seven community-dwelling participants (70–78 years) without a history of cardiovascular disease or stroke were studied. A cross-sectional association was found between CRP and apathy symptoms at three time points (odds ratio (OR) per natural log unit increase in CRP: baseline visit = 1.40, 95% CI = 1.12–1.75; two-year follow-up visit = 1.62, 95% CI = 1.17–2.25; four-year follow-up visit = 1.51, 95% CI = 1.03–2.21). This did not change after adjustment for demographics and depressive symptoms, and was slightly attenuated after adjustment for cardiovascular risk factors. No cross-sectional association was found with depressive symptoms. Baseline CRP did not predict incident apathy or depressive symptoms during four years of follow-up.

Increased CRP levels are associated with apathy symptoms but not with depressive symptoms. This suggests a differential effect of inflammation on apathy and depression. In older persons, symptoms of apathy may be a behavioral manifestation of concurrent low-grade inflammation.