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Aims: Low Carbohydrate High Fat (LCHF) diets are popular for weight loss or glucose control. The main source of energy in such diets is fat but the composition of nutrients varies. This study aims to investigate dietary variations in a real-world LCHF population and its associations with cardiovascular risk factors.

Methods: We recruited 100 volunteers who considered themselves adherent to a LCHF diet. Their last 14 days of dietary intake was assessed using diet history interviews. Validation of energy intake against expenditure was made using activity monitors. Predictive variables for the linear regression models were selected using stepwise bidirectional assessment of Akaike information criterion (AIC).

Results: Energy intake (E%) from carbohydrates was low, 8.7 E%, and fat was the main replacement. Dietary cholesterol was associated with higher total cholesterol, low-density lipoprotein (LDL), and high-density lipoprotein (HDL). Dietary sodium intake was associated with higher blood pressure. Protein intake was associated with lower diastolic blood pressure but also with lower HDL. The intake of dietary fibre was associated with lower LDL and total cholesterol but with higher hemoglobin A1c (HbA1c). The intake of carbohydrates and saturated fatty acids (SFA) was not associated with any of the outcome variables.

Conclusion: In this LCHF population, variations in intake of carbohydrates and saturated fatty acids could not predict any aspects of the cardiovascular risk profile. Lower fibre intake and higher cholesterol and sodium intake predicted a less favorable cardiovascular risk profile.

Background: Despite the therapeutic benefits, non-adherence to lithium is common. One recent study showed that most patients discontinue lithium due to adverse effects. Little is known about individuals starting and discontinuing lithium repeatedly.

Objectives: We aimed to determine reasons for discontinuing and restarting lithium multiple times in patients with bipolar or schizoaffective disorder.

Design: Retrospective cohort study based on psychiatric case records of the SLaM Biomedical Research Centre Case Register (SLaM BRC case register).

Method: Anonymised clinical data were extracted via the Clinical Record Interactive Search (CRIS) application. Patients with at least three events of lithium discontinuation between 2012 and 2022 were included.

Results: Of 2888 eligible patients, 123 patients had discontinued lithium on at least three occasions. Psychiatric reasons, such as suspected lack of insight, feeling subjectively well or disagreeing with diagnosis, were the most common reasons for lithium discontinuations. They accounted for 77.2% of cases in the first event of discontinuation, 73.2% in the second and 72.3% in the third event. Adverse physical effects accounted for 19.5% of cases in the first event of discontinuation, 25.2% in the second and 26.0% in the third event. Relapse into the underlying affective disorder accounted for 83.7% each of reinstatements in the first and second events and 82.1% in the third event.

Discussion: In our sample, lithium was discontinued due to adverse effects in only a minority of patients. In most cases, the reasons for lithium discontinuation were considered psychiatric. Lithium was mainly restarted due to relapse. This warrants a better understanding of the reasons for repeatedly discontinuing lithium and the best way to promote lithium adherence to prevent a perpetual cycle of remitting when on lithium and relapsing when off lithium.

Objective: To assess a systematic implementation approach for introducing dapagliflozin to individuals with heart failure and reduced ejection fraction in an outpatient clinical setting.

Methods: Retrospective medical record data were analysed. All individuals diagnosed with heart failure who resided within the hospital catchment area and had visited cardiology or internal medicine department between 2010 and 2019 were screened by using the main inclusion criteria from the DAPA-HF trial. The effectiveness of the previously described seven-step systematic implementation approach was assessed by the proportion receiving information letter, dapagliflozin treatment, follow-ups at 2–12 weeks and 12 months post-dapagliflozin initiation, persistence on dapagliflozin, adverse events, and reasons for discontinuation.

Results: Of the 2433 individuals, 352 met the main DAPA-HF trial criteria in step 2. After exclusions in steps 3 and 4, 191 individuals remained. Of these, 158 were invited for eligibility discussion in step 5, with 107 having received an information letter beforehand. In step 6, dapagliflozin was prescribed to 69 individuals, and in step 7, follow-ups were conducted with 56 individuals at 2–12 weeks and 62 individuals at 12 months. Sixty out of 69 persisted on dapagliflozin after 12 months. Adverse events were reported by nine individuals. Discontinuation was attributed to reasons such as urinary tract infections, genital or abdominal discomfort, and hypotension.

Conclusion: The systematic introduction of dapagliflozin to heart failure patients was effective. Despite this, challenges in uniformly implementing procedures across patients were evident, emphasizing the necessity for a systematic implementation approach.

Introduction: Mood stabilisers and other psychotropic drugs can lead to serious adverse drug events (ADEs). However, the incidence remains unknown. We aimed to (a) determine the incidence of serious ADEs in patients with bipolar or schizoaffective disorders, (b) explore the role of lithium exposure, and (c) describe the aetiology.

Methods: This study is part of the LiSIE (Lithium—Study into Effects and Side Effects) retrospective cohort study. Between 2001 and 2017, patients in the Swedish region of Norrbotten, with a diagnosis of bipolar or schizoaffective disorder, were screened for serious ADEs to psychotropic drugs, having resulted in critical, post-anaesthesia, or intensive care. We determined the incidence rate of serious ADEs/1,000 person-years (PY).

Results: In 1,521 patients, we identified 41 serious ADEs, yielding an incidence rate of 1.9 events per 1,000 PY. The incidence rate ratio (IRR) between ADEs with lithium present and causally implicated and ADEs without lithium exposure was significant at 2.59 (95% CI 1.20–5.51; p = 0.0094). The IRR of ADEs in patients <65 and ≥65 years was significant at 3.36 (95% CI 1.63–6.63; p = 0.0007). The most common ADEs were chronic lithium intoxication, oversedation, and cardiac/blood pressure-related events.

Discussion: Serious ADEs related to treatment of bipolar (BD) or schizoaffective disorder (SZD) were uncommon but not rare. Older individuals were particularly at risk. The risk was higher in individuals exposed to lithium. Serum lithium concentration should always be checked when patients present with new or unclear somatic symptoms. However, severe ADEs also occurred with other mood stabilisers and other psychotropic drugs.

Aims: Unmet needs exist in the diagnosis and treatment of heart failure (HF) in the elderly population. Our aim was to analyse and compare data of diagnostics and management of very elderly patients (aged ≥85 years) compared with younger patients (aged 18–84 years) with HF in Sweden.

Methods: Incidence of ≥2 HF diagnosis (ICD-10) was identified from primary/secondary care in Uppsala and Västerbotten during 2010–2015 via electronic medical records linked to data from national health registers. Analyses investigated the diagnosis, treatment patterns, hospitalizations and outpatient visits, and mortality.

Results: Of 8702 patients, 27.7% were ≥85 years old, women (60.2%); most patients (80.7%) had unknown left ventricular ejection fraction; key co-morbidities comprised anaemia, dementia, and cerebrovascular disease. More very elderly patients received cardiovascular disease (CVD)-related management after diagnosis in primary care (13.6% vs. 6.5%; P < 0.0001), but fewer patients underwent echocardiography (19.3% vs. 42.9%; P < 0.0001). Within 1 year of diagnosis, very elderly patients were less likely to be hospitalized (all-cause admissions per patient: 1.9 vs. 2.3; P < 0.0001; CVD-related admissions per patient: 1.8 vs. 2.1; P = 0.0004) or prescribed an angiotensin-converting enzyme inhibitor/angiotensin receptor blocker (ACEI/ARB) plus a β-blocker (45.2% vs. 56.9%; P < 0.0001) or an ACEI/ARB plus a β-blocker plus a mineralocorticoid receptor antagonist (15.4% vs. 31.7%; P < 0.0001). One-year mortality was high in patients ≥85 years old, 30.5% (CI: 28.3-32.7%) out of 1797 patients.

Conclusions: Despite the large number of very elderly patients with newly diagnosed HF in Sweden, poor diagnostic work-up and subsequent treatment highlight the inequality of care in this vulnerable population.

Background: Low carbohydrate high fat (LCHF) diet has been a popular low carbohydrate diet in Sweden for 15 years. Many people choose LCHF to lose weight or control diabetes, but there are concerns about the effect on long-term cardiovascular risks. There is little data on how a LCHF diet is composed in real-life. The aim of this study was to evaluate the dietary intake in a population with self-reported adherence to a LCHF diet.

Methods: A cross-sectional study of 100 volunteers that considered themselves eating LCHF was conducted. Diet history interviews (DHIs) and physical activity monitoring for validation of the DHIs were performed.

Results: The validation shows acceptable agreement of measured energy expenditure and reported energy intake. Median carbohydrate intake was 8.7 E% and 63% reported carbohydrate intake at potentially ketogenic levels. Median protein intake was 16.9 E%. The main source of energy was dietary fats (72.0 E%). Intake of saturated fat was 32 E% and cholesterol was 700 mg per day, both of which exceeded the recommended upper limits according to nutritional guidelines. Intake of dietary fiber was very low in our population. The use of dietary supplements was high, and it was more common to exceed the recommended upper limits of micronutrients than to have an intake below the lower limits.

Conclusions: Our study indicates that in a well-motivated population, a diet with very low carbohydrate intake can be sustained over time and without apparent risk of deficiencies. High intake of saturated fats and cholesterol as well as low intake of dietary fiber remains a concern.

Aims: The aim was to describe the prevalence, characteristics, and outcome of patients with acute myocardial infarction (MI) developing left ventricular (LV) systolic dysfunction or pulmonary congestion by applying different criteria to define the population.

Methods and results: In patients with MI included in the Swedish web-system for enhancement and development of evidence-based care in heart disease (SWEDEHEART) registry, four different sets of criteria were applied, creating four not mutually exclusive subsets of patients: patients with MI and ejection fraction (EF) < 50% and/or pulmonary congestion (subset 1); EF < 40% and/or pulmonary congestion (subset 2); EF < 40% and/or pulmonary congestion and at least one high-risk feature (subset 3, PARADISE-MI like); and EF < 50% and no diabetes mellitus (subset 4, DAPA-MI like). Subsets 1, 2, 3, and 4 constituted 31.6%, 15.0%, 12.8%, and 22.8% of all patients with MI (n = 87 177), respectively. The age and prevalence of different co-morbidities varied between subsets. For median age, 70 to 77, for diabetes mellitus, 22 to 33%; for chronic kidney disease, 22 to 38%, for prior MI, 17 to 21%, for atrial fibrillation, 7 to 14%, and for ST-elevations, 38 to 50%. The cumulative incidence of death or heart failure hospitalization at 3 years was 17.4% (95% CI: 17.1-17.7%) in all MIs; 26.9% (26.3-27.4%) in subset 1; 37.6% (36.7-38.5%) in subset 2; 41.8% (40.7-42.8%) in subset 3; and 22.6% (22.0-23.2%) in subset 4.

Conclusions: Depending on the definition, LV systolic dysfunction or pulmonary congestion is present in 13-32% of all patients with MI and is associated with a two to three times higher risk of subsequent death or HF admission. There is a need to optimize management and improve outcomes for this high-risk population.

Aims: COVID-19 increases the risk of cardiovascular disease, especially thrombotic complications. There is less knowledge on the risk of arrhythmias after COVID-19. In this study, we aimed to quantify the risk of arrhythmias following COVID-19.

Methods and Results: This study was based on national register data on all individuals in Sweden who tested positive for SARS-CoV-2 between 1 February 2020 and 25 May 2021. The outcome was incident cardiac arrhythmias, defined as international classification of diseases (10th revision) codes in the registers as follows: atrial arrhythmias; paroxysmal supraventricular tachycardias; bradyarrhythmias; and ventricular arrhythmias. A self-controlled case series study and a matched cohort study, using conditional Poisson regression, were performed to determine the incidence rate ratio and risk ratio, respectively, for an arrhythmia event following COVID-19.A total of 1 057 174 exposed (COVID-19) individuals were included in the study as well as 4 074 844 matched unexposed individuals. The incidence rate ratio of atrial tachycardias, paroxysmal supraventricular tachycardias, and bradyarrhythmias was significantly increased up to 60, 180, and 14 days after COVID-19, respectively. In the matched cohort study, the risk ratio during Days 1–30 following COVID-19/index date was 12.28 (10.79–13.96), 5.26 (3.74–7.42), and 3.36 (2.42–4.68), respectively, for the three outcomes. The risks were generally higher in older individuals, in unvaccinated individuals, and in individuals with more severe COVID-19. The risk of ventricular arrhythmias was not increased.

1 057 174 exposed (COVID-19) individuals were included in the study as well as 4 074 844 matched unexposed individuals. The incidence rate ratio of atrial tachycardias, paroxysmal supraventricular tachycardias and bradyarrhythmias was significantly increased up to 60, 180 and 14 days after COVID-19, respectively. In the matched cohort study, the risk ratio during day 1-30 following COVID-19/index date was 12.28 (10.79-13.96), 5.26 (3.74-7.42) and 3.36 (2.42-4.68), respectively for the three outcomes. The risks were generally higher in older individuals, unvaccinated individuals and in individuals with more severe COVID-19. The risk of ventricular arrhythmias was not increased.

Conclusion: There is an increased risk of cardiac arrhythmias following COVID-19, and particularly increased in elderly vulnerable individuals, as well as in individuals with severe COVID-19.

Background: COVID-19 is a multiorgan disease. We previously identified COVID-19 as a risk factor for myocardial infarction, stroke (1), venous thromboembolism and bleeding (2). Less evidence exists on the risk of arrhythmias after COVID-19. Previous studies included mainly hospitalized patients with severe COVID-19, and there are no nationwide studies published.

Purpose: The aim of this study was to estimate the risk of atrial tachycardias (atrial fibrillation and atrial flutter) following COVID-19, including all individuals tested positive for SARS-CoV-2 in Sweden, regardless of disease severity.

Method: COVID-19 has been a notifiable disease in Sweden. All individuals in Sweden who were tested positive for SARS-CoV-2 between February 1, 2020 and May 25, 2021 were included in the study. We identified four control individuals for each COVID-19 individual matched on age, sex, and county of residence. Using Personal Identification Numbers, we cross-linked data from national registries: COVID-19 registry; Inpatient and Outpatient Registry; Cause of Death Registry; Prescribed Pharmaceutical Registry and Intensive Care Registry. Outcomes are cardiovascular events, defined using ICD-10 diagnosis codes for atrial fibrillation and atrial flutter in the registries. We performed a ‘’first-ever event’’ analysis, i.e., we excluded individuals with events before the study period. The self-controlled case series (SCCS) method was used to determine the incidence rate ratio (IRR) of a first atrial tachycardia during the risk periods 1-7, 8-14, 15-30, 31-60, 61-90, and 91-180 days after COVID-19. In the matched cohort study (MCS), Poisson regression was performed to calculate the risk ratio (RR) of a first arrhythmia event in the risk period 1-30 days following COVID-19, after adjusting for the effect of confounders, such as cardiac disease, treatment with antiarrhythmics, comorbidities and vaccination status.

Results: 1 057 174 cases and 4 074 844 controls were included in the study. In the SCCS, the risk of first atrial tachycardia was significantly increased up to 60 days following COVID-19. Specifically, during days 1-7 and 8-14 post-COVID-19 the IRRs were approximately 12 and 10 respectively. Similarly, in the MCS the RR for the first atrial tachycardia during day 1-30 post-COVID-19 was approximately 11. The risks were higher in patients with more severe COVID-19; and during the first pandemic wave compared to the second and third wave.

Conclusions: This study suggests that COVID-19 is a risk factor for atrial tachycardias, based on information obtained on all people who tested positive for SARS-CoV-2 in Sweden, regardless of disease severity. These results could impact recommendations on diagnostic and prophylactic strategies against atrial tachycardias after COVID-19. The importance of preventive strategies, such as risk factor control; vaccination to prevent severe COVID-19; and early review of high-risk individuals after COVID-19, is indicated.

(1) Background: Few studies have explored the impact of lithium intoxication on the heart.

(2) Methods: We examined electrocardiogram (ECG) changes associated with lithium intoxication in the framework of the LiSIE (Lithium-Study into Effects and Side Effects) retrospective cohort study. We analysed ECGs before, during, and after intoxication.

(3) Results: Of the 1136 patients included, 92 patients had experienced 112 episodes of lithium intoxication. For 55 episodes, there was an ECG available at the time; for 48 episodes, there was a reference ECG available before and/or after the lithium intoxication. Lithium intoxication led to a statistically significant decrease in heart rate from a mean 76 beats/min (SD 16.6) before intoxication to 73 beats/min (SD 17.1) during intoxication (p = 0.046). QTc correlated only weakly with lithium concentration (ρ = 0.329, p = 0.014). However, in 24% of lithium intoxication episodes, there were QT prolongations. In 54% of these, QTc exceeded 500 ms; patients with chronic intoxications being more affected.

(4) Conclusions: Based on summary statistics, effects of lithium intoxication on HR and QTc seem mostly discrete and not clinically relevant. However, QT prolongation can carry a risk of becoming severe. Therefore, an ECG should always be taken in patients presenting with lithium intoxication.