Background:The increase in patient visits to emergency departments is a global challenge. We wished to survey patient inflow and patient composition over time at two Norwegian university hospitals. Material and method:A retrospective, descriptive study of patient contacts (patients ≥ 16 years of age) in the emergency departments of Haukeland University Hospital, Bergen, and St Olav's Hospital, Trondheim University Hospital in the period 2012-21. Data were retrieved from patient records and the patient administration system. Result:A total of 585 780 patient contacts were included. The number of patient contacts in the emergency departments was 30 696 in 2012 and 40 396 in 2021 at Haukeland University Hospital, and 18 967 in 2012 and 28 822 in 2021 at St Olav's Hospital. The largest increase during the study period appeared to be in the age group 67-79 years, with an increase of 57 % (from 6 190 to 9 691) at Haukeland University Hospital, and 77 % (from 3 849 to 6 817) at St Olav's Hospital. The proportion of patient contacts that ended in hospitalisation was 82 % in 2012 and 74 % in 2021 at Haukeland University Hospital, and 87 % in 2012 and 61 % in 2021 at St Olav's Hospital. Of the patients that were admitted, the median age was 65 years, while the median age of those who were discharged from the emergency department was 48 years at Haukeland University Hospital and 52 years at St Olav's Hospital. Interpretation:The study showed an increase in patient contacts in the emergency departments at Haukeland University Hospital and St Olav's Hospital over a period of ten years. The number of older adults in the population will continue to increase in the years ahead, and the need for urgent care assessments will correspondingly increase. It is important that the health services are aware of changes in patient influx and patient composition in order to ensure patient safety and the working environment of emergency departments in the future.

Studies on the effect of insomnia on atrial fibrillation risk in the general population are limited, therefore we investigated the association between insomnia and the risk of atrial fibrillation in a large-scale population-based study with valid atrial fibrillation measure. A total of 33,983 participants (55% women) reported their insomnia symptoms in the third wave of the HUNT study (between 2006 and 2008) in Norway, and they were followed for their first atrial fibrillation diagnosis until 2020 using hospital registers. Atrial fibrillation diagnoses were validated by physicians based on medical records and electrocardiograms. Insomnia symptoms were assessed by four questions, and analysed both individually and as cumulative symptoms. Cox regression, adjusted for age, sex, social and marital status, working in shiftwork, alcohol consumption, smoking, physical activity, body mass index, systolic blood pressure, and symptoms of anxiety and depression, was conducted. Overall, 1592 atrial fibrillation cases were identified during the follow-up and 31.6% of individuals reported at least one insomnia symptom. In our analysis, we did not detect meaningful associations between insomnia symptoms and the risk of atrial fibrillation. In conclusion, in this population there was no evidence for an association between insomnia symptoms and the risk of subsequent atrial fibrillation.

Background:A woman in her seventies presented to the accident and emergency department (A&E) with shortness of breath that had increased over a period of three weeks. She had a history of COPD, hypertension and polymyalgia rheumatica. A medication error involving methotrexate, used for autoimmune diseases, was discovered during her medical history review. Case presentation:The patient arrived with stable vital signs, including 94 % oxygen saturation and a respiratory rate of 20 breaths/min. She had been taking 2.5 mg of methotrexate daily for the past three weeks instead of the prescribed weekly dose of 15 mg. Other examinations revealed no alarming findings, except for a slightly elevated D-dimer level. Interpretation:Considering her medical history and exclusion of other differential diagnoses, methotrexate toxicity was suspected. The patient was admitted to the hospital and intravenous folinic acid was initiated as an antidote treatment. Five days later, the patient was discharged with an improvement in the shortness of breath. This case underscores the importance of effective communication in health care, particularly in complex cases like this, where understanding dosages and administration is crucial. Medical history, clinical examinations and medication reviews, often involving clinical pharmacists, are vital in the A&E to reveal medication errors.

Background:Acute intoxication is a common chief complaint in emergency medicine, but there is a lack of up-to-date studies from the emergency departments in Norway on the incidence and prevalence of various toxic substances. The aim of this study was to survey acute intoxications at the emergency department of St Olav's Hospital, Trondheim. Material and method:In this review of patient records, we used data from the emergency department at St Olav's Hospital in Trondheim in the period 1  January 2019-31  December 2020. All cases with 'acute intoxication' as the reason for the emergency department visit were included. Results:In a patient population of 836 unique patients, there were a total of 1423 intoxications, of which 168/836 patients (20.0 %) had more than one intoxication episode in the period. The median age was 31 years (interquartile range 22-47), and 395/836 (47.2 %) of the patients were women. Combined drug intoxication constituted 666/1423 (46.8 %) of the cases, and the most frequent intoxications were from ethanol: 802/1423 (56.4 %); benzodiazepines 314/1423 (24.0 %); and opioids 243/1423 (17.1 %). Altogether, 1146/1423 (80.5 %) incidents resulted in hospital admission. There were no deaths during their hospital stay. Interpretation:Emergency departments must be prepared to manage patients who have taken various poisoning agents. The antidotes must be available, and it must be possible to perform interventions.

Abstract Aims Currently, no incident heart failure (HF) risk score that is in regular use in a general population is available. We aimed to develop this and compare with existing HF risk scores. Methods and results Participants in the third wave (2006–08) of the population‐based Trøndelag Health Study 3 (HUNT3) were included if they reported no previous HF. Any hospital diagnoses captured during follow‐up (until the end of 2018) of HF, cardiomyopathy, or hypertensive heart disease were assessed by an experienced cardiologist. Valid HF events were defined as symptoms/signs of HF and objective evidence of structural/functional abnormality of the heart at rest. The model was compared with slightly modified HF risk scores (the Health Aging and Body Composition HF risk score, the Framingham HF risk score, the Pooled Cohort equations to Prevent HF risk score, and NORRISK 2). Among 36 511 participants (mean ± SD age of 57.9 ± 13.3 years, 55.4% female), with a mean follow‐up of 10.2 ± 1.3 years, 1366 developed HF (incidence rate of 3.66 per 1000 participant years). Out of the 38 relevant clinical variables assessed, we identified 12 (atrial fibrillation being the strongest) that independently predicted an HF event. The final model demonstrated good discrimination (C statistics = 0.904) and calibration, was stable in internal validation, and performed well compared with existing risk scores. The model identified that, at enrolment, 31 391 (86%), 2386 (7%), 1246 (3%), and 1488 (4%) had low, low‐intermediate, high‐intermediate, and high 10‐year HF risk, respectively. Conclusions Twelve clinical variables independently predicted 10‐year HF risk. The model may serve well as the foundation of a practical, online risk score for HF in general practice. Trial Registration: ClinicalTrials.gov Identifier: NCT04648852.

Previous research suggests decreased immune function and increased risk of infections in individuals with insomnia. We examined the effect of insomnia symptoms on risk of bloodstream infections (BSIs) and BSI‐related mortality in a population‐based prospective study. A total of 53,536 participants in the second Norwegian Nord‐Trøndelag Health Study (HUNT2) (1995–97) were linked to prospective data on clinically relevant BSIs until 2011. In Cox regression, we estimated hazard ratios (HRs) with 95% confidence intervals (CIs) for a first‐time BSI and for BSI‐related mortality (BSI registered ≤30 days prior to death) associated with insomnia symptoms. Compared with participants who reported “no symptoms”, participants reporting having “difficulty initiating sleep” (DIS) often/almost every night had a HR for a first‐time BSI of 1.14 (95% CI 0.96–1.34). Participants reporting “difficulties maintaining sleep” (DMS) often/almost every night had a HR of 1.19 (95% CI 1.01–1.40), whereas those having a feeling of “non‐restorative sleep” once a week or more had a HR of 1.23 (95% CI 1.04–1.46). Participants frequently experiencing all three of the above symptoms had a HR of 1.39 (1.04–1.87), whilst those who had both DIS and DMS had a HR of 1.15 (0.93–1.41) and being troubled by insomnia symptoms to a degree that affected work performance was associated with a HR of 1.41 (95% CI 1.08–1.84). The HRs for BSI‐related mortality suggest an increased risk with increasing insomnia symptoms, but the CIs are wide and inconclusive. We found that frequent insomnia symptoms and insomnia symptoms that affected work performance were associated with a weak positive increased risk of BSI.

Background Following the spread of the Covid-19 pandemic in 2020, reports emerged on decreasing emergency department (ED) visits in many countries. Patients experiencing chest pain was no exception. The aim of the current study was to describe how the Covid-19 pandemic and the subsequential lockdown impacted the chest pain population in a Norwegian ED. Methods All patients presenting to the ED with chest pain during the study period were included. Data were collected retrospectively from the time period January 6 th to August 30 th , 2020, and compared to the corresponding period in 2019, assessing variations in the number of ED visits, severity, gender, and age. Results Fewer patients with chest pain were seen in the ED following the national lockdown in Norway, compared to the corresponding 2019 period (week 13: 38% fewer; weeks 11–27: 16% fewer). By week 28, the rate normalized compared to 2019 levels. There was a relative increase in lower acuity patients among these patients, while fewer moderate acuity patients were seen. During the initial period following lockdown, the median age was lower compared to the corresponding 2019 period (58 years (IQR 25) vs 62 years (IQR 24), respectively). Admissions due to acute coronary syndromes (ACS) remained proportionally stable. Conclusions Succeeding the Covid-19 outbreak and the subsequent national lockdown in Norway, fewer chest pain patients presented to the ED. Paradoxically, the patients seemed to be less severely ill and were on average younger compared to 2019 data. However, the proportion of patients admitted with ACS was stable during this period. This could imply that some patients may have failed to seek medical advice despite experiencing a myocardial infarction.

Background Studies suggest increased risk for an outcome in people with joint exposures that share common causal pathways. The objective of this study was to determine the risk of incident acute myocardial infarction (AMI) following exposure to both albuminuria and/or anxiety and depression symptoms. Methods Participants who provided urine samples to the HUNT2 (1995–97) or HUNT3 (2007–2009) surveys were followed until the end of 2016. Albuminuria was measured by Albumin Creatine Ratio (ACR) and participants self-reported mood and anxiety symptoms on the Hospital Anxiety and Depression scale. We used Cox regression to estimate hazard ratios (HRs) for first incident AMI considering interaction between exposures and additive models to calculate the proportion of AMI that were attributable to the synergy of both exposures, adjusted for the Framingham variables. Results Eleven thousand fourteen participants free of previous AMI were eligible for participation, with 1234 incident AMIs occurred during a mean 13.7 years of follow-up. For participants who had a healthier CVD risk profile, the HR for AMI of having both albuminuria (3–30 mg/mmol) and depression (≥8) was 2.62 (95% 1.12–6.05) compared with a HR 1.34 (95% CI 1.04–1.74) with raised ACR only (Likelihood Ratio-test 0.03). Adding anxiety (≥8) to albuminuria (3–30) tripled the risk (HR 3.32 95% CI 1.43–7.17). The additive models suggest that these risks are not higher than expected based on each risk factor alone. Conclusions This study indicate that the risk of AMI in persons with elevated albuminuria but with an otherwise healthy CVD profile might be amplified by anxiety and depression symptoms. The increased risk with joint risk factors is not higher than expected based on each risk factor alone, which indicate that the risk factors do not share causal pathways.

Abstract Background The validity of heart failure (HF) diagnoses made in hospitals has been debated and low positive predictive values (PPV) may represent a bias in epidemiological research. Purpose To validate primary and secondary HF diagnoses at discharge or during ambulatory evaluation in general hospitals aiming to obtain confirmed HF diagnoses to develop a HF-prediction risk score. Methods We extracted data on all patients with a HF diagnosis by ICD-10 codes (I50 HF, I42 cardiomyopathy and I11 hypertension with HF) in any position from the hospitals' electronic medical records from Oct. 2006 to Dec. 2018. One experienced cardiologist scrutinized all journals for events being either a valid HF event, unlikely, or uncertain due to lacking information, according to the 2016 ESC HF guidelines. In cases where first event was unlikely or uncertain subsequent events were judged for valid HF. Results A total of 3411 patients with at least one HF diagnosis were assessed (mean age 79.7±10.6 yrs, 49.1% men); 3089 after in-hospital stays and 322 after ambulatory consultations. Overall, 2174 were deemed as valid HF diagnosis with a PPV of 63.7%; PPV was higher when HF diagnosis was based on in-hospital diagnoses and when HF was the primary diagnosis (Table). Conclusions Only 64% of all HF diagnoses were likely HF according to present guidelines, with higher precision for in-hospital diagnoses and HF in the primary position. This underscores the importance to use validated HF-diagnoses for HF prediction risk score development. Funding Acknowledgement Type of funding sources: Other. Main funding source(s): Boehringer Ingelheim Norway KS

The association between bone mineral density (BMD) and cardiovascular disease (CVD) is not fully understood. We evaluated BMD as a risk factor for cardiovascular disease and specifically atrial fibrillation (AF), acute myocardial infarction (AMI), ischemic (IS) and hemorrhagic stroke (HS) and heart failure (HF) in men and women. This prospective population cohort utilized data on 22 857 adults from the second and third surveys of the HUNT Study in Norway free from CVD at baseline. BMD was measured using single and dual-energy X-ray absorptiometry in the non-dominant distal forearm and T-score was calculated. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated from adjusted cox proportional hazards models. The analyses were sex-stratified, and models were adjusted for age, age-squared, BMI, physical activity, smoking status, alcohol use, and education level. Additionally, in women, we adjusted for estrogen use and postmenopause. During a mean follow-up of 13.6 ± 5.7 years, 2 928 individuals (12.8%) developed fatal or non-fatal CVD, 1 020 AF (4.5%), 1 172 AMI (5.1%), 1 389 IS (6.1%), 264 HS (1.1%), and 464 HF (2.0%). For every 1 unit decrease in BMD T-score the HR for any CVD was 1.01 (95% CI 0.98 to 1.04) in women and 0.99 (95% CI 0.94 to 1.03) in men. Point estimates for the four cardiovascular outcomes ranged from slightly protective (HR 0.95 for AF in men) to slightly deleterious (HR 1.12 for HS in men). We found no evidence of association of lower distal forearm BMD with CVD, AF, AMI, IS, HS, and HF.

Abstract Background The recommended cut-off of cardiac troponin (cTn) for the diagnosis of acute myocardial infarction (AMI) is the 99th percentile in a healthy reference population. We aimed to determine the 99th percentile of the novel ADVIA Centaur® High Sensitivity Troponin I assay (Siemens Healthcare Diagnostics) in fresh lithium heparin plasma samples from healthy blood donors. Methods A total of 1000 apparently healthy blood donors were included. High-sensitivity (hs) cTnI, hs-cTnT, creatinine and N-terminal pro b-type natriuretic peptide (NT-proBNP) were measured in fresh lithium heparin plasma samples, and glycated hemoglobin (HbA1c) was measured in ethylenediaminetetraacetic acid (EDTA)-blood. The 99th percentile was estimated for the whole population, as well as for males and females separately. Results For the total population the 99th percentile of ADVIA Centaur® High Sensitivity Troponin I was 96 (65–149) ng/L. The estimated value differed significantly from results published by others and was highly dependent on which values were considered statistical outliers. Conclusions The estimated 99th percentile for hs-cTnI in the population studied differed significantly from previously published results. There is a need for further specifications regarding how subjects used for estimating the 99th percentile of cTns in healthy populations should be recruited and how outlier values should be identified, as this can highly influence the diagnostic cut-off applied for AMI.

BACKGROUND The Emergency Department in Trondheim has prepared for a large influx of patients infected with the SARS-CoV-2 virus. We conducted a study comparing patients in the Emergency Department in the first weeks of the pandemic in Norway (weeks 11 and 12) with the average number of patient visits. MATERIAL AND METHOD Data from patients at the Emergency Department of St Olav's Hospital in the period 6 January 2020-22 March 2020 were retrieved from the Emergency Department's database. Logistical patient data concerning patient numbers, chief complaints, length of stay in the Emergency Department, acuity level, isolation status, and treatment level were analysed. RESULTS In week 12, 331 patients were referred to the Emergency Department, a reduction of 39 % compared with the average of 541 patients in weeks 2-10. There was a general reduction in all patient groups, but particularly those discharged from the Emergency Department. In week 12 there were 56 more patients isolated with suspected/potentially infectious disease (187 %) compared with the average for weeks 2-10, and these patients spent almost two hours longer in the Emergency Department than other patients. INTERPRETATION There was a reduction in patient visits to the Emergency Department in the first weeks of the pandemic. The percentage of patients isolated for infection control increased, and the time spent in the Emergency Department for these patients was greater than for other patients. The reduction in the inflow of patients is expected to be temporary, and the Emergency Department at St Olav's Hospital expects a large influx of patients with suspected COVID-19 disease.

BACKGROUND: The Emergency Department in Trondheim has prepared for a large influx of patients infected with the SARS-CoV-2 virus. We conducted a study comparing patients in the Emergency Department in the first weeks of the pandemic in Norway (weeks 11 and 12) with the average number of patient visits. MATERIAL AND METHOD: Data from patients at the Emergency Department of St Olav's Hospital in the period 6�January 2020-22 March 2020 were retrieved from the Emergency Department's database. Logistical patient data concerning patient numbers, chief complaints, length of stay in the Emergency Department, acuity level, isolation status, and treatment level were analysed. RESULTS: In week 12, 331�patients were referred to the Emergency Department, a reduction of 39�% compared with the average of 541�patients in weeks 2-10. There was a general reduction in all patient groups, but particularly those discharged from the Emergency Department. In week 12 there were 56�more patients isolated with suspected/potentially infectious disease (187�%) compared with the average for weeks 2-10, and these patients spent almost two hours longer in the Emergency Department than other patients. INTERPRETATION: There was a reduction in patient visits to the Emergency Department in the first weeks of the pandemic. The percentage of patients isolated for infection control increased, and the time spent in the Emergency Department for these patients was greater than for other patients. The reduction in the inflow of patients is expected to be temporary, and the Emergency Department at St Olav's Hospital expects a large influx of patients with suspected COVID-19 disease.

•Asthma and ischemic stroke share pathophysiological mechanisms.•Asthma with symptoms associated with higher ischemic stroke risk.•Increased ischemic stroke risk was only present in smokers and male gender.•Findings highlights poor asthma prognosis in smokers.

Objective Atrial fibrillation (AF) is the most common arrhythmia and has been described as a global epidemic. Although AF is associated with both obesity and its metabolic consequences, little is known about the association between metabolically healthy obesity and AF. Methods In a population‐based study, 47,870 adults were followed for incident AF from 2006 to 2008 until 2015. Participants were classified according to BMI and metabolic status (using waist circumference, triglycerides, high‐density lipoprotein cholesterol, blood pressure, and glucose) at baseline. Results During a median follow‐up of 8.1 years, 1,758 participants developed AF. Compared with metabolically healthy individuals with BMI < 25 kg/m 2 , the multivariable‐adjusted hazard ratios for metabolically healthy and unhealthy obesity were 1.6 (95% CI: 1.2 to 2.1) and 1.6 (95% CI: 1.3 to 1.9), respectively. AF risk increased according to the severity of obesity. Conclusions Metabolically healthy and unhealthy obesity increased AF risk to a similar extent. Severity of obesity was positively associated with AF risk regardless of metabolic status.

Introduction: Asthma, a chronic inflammatory airway disease, shares several common pathophysiological mechanisms with stroke. Research of the association between asthma, asthma control and stroke risk are lacking. Aims and Objectives: To assess the association between asthma, levels of asthma control and stroke risk. Methods: This prospective population cohort utilized data on 58 540 adults from a second and third examinations of “The Nord-Trøndelag Health Study” in Norway free from stroke at baseline. Self-reported asthma was categorized as ever asthma and active asthma (i.e., being on asthma medication within 12 months of the baseline). Asthma control was defined according to the Global Initiative for Asthma guidelines and was categorized into controlled, partly-controlled and uncontrolled asthma. Stroke was ascertained by linking HUNT data with Nord-Trøndelag hospital records and Norwegian Patient Registry. Results: During a mean follow-up of 17.27 ± 5.33 years, 2 029 participants (3.5%) developed stroke. Active asthma was associated with small borderline increased risk of stroke (adjusted HR 1.20, 95% CI 0.99-1.45). Subgroup analyses revealed stronger association between active asthma and stroke risk among male participants (adjusted HR 1.35, 95% CI 1.06-1.73) and among smokers (adjusted HR 1.35, 95% CI 1.09-1.68). Associations were not explained by C-reactive protein levels and physical activity. There were no significant associations in asthma control groups (p for trend >0.100). Conclusions: Active asthma was associated with modest increased risk of stroke in males and smokers independently of other conventional cardiovascular risk factors.

Aims Although obesity has been associated with risk of atrial fibrillation (AF), the associations of long-term obesity, recent obesity, and weight change with AF risk throughout adulthood are uncertain. Methods and results An ambispective cohort study was conducted which included 15 214 individuals. The cohort was created from 2006 to 2008 (the baseline) and was followed for incident AF until 2015. Weight and height were directly measured at baseline. Data on previous weight and height were retrieved retrospectively from measurements conducted 10, 20, and 40 years prior to baseline. Average body mass index (BMI) over time and weight change was calculated. During follow-up, 1149 participants developed AF. The multivariable-adjusted hazard ratios were 1.2 (95% confidence interval 1.0-1.4) for average BMI 25.0-29.9 kg/m(2) and 1.6 (1.2-2.0) for average BMI >= 30 kg/m(2) when compared with normal weight. The association of average BMI with AF risk was only slightly attenuated after adjustment for most recent BMI. In contrast, current BMI was not strongly associated with the risk of AF after adjustment for average BMI earlier in life. Compared with stable BMI, both loss and gain in BMI were associated with increased AF risk. After adjustment for most recent BMI, the association of BMI gain with AF risk was largely unchanged, while the association of BMI loss with AF risk was weakened. Conclusion Long-term obesity and BMI change are associated with AF risk. Obesity earlier in life and weight gain over time exert cumulative effects on AF development even after accounting for most recent BMI.

Asthma, a chronic inflammatory airway disease, shares several common pathophysiological mechanisms with acute myocardial infarction (AMI). Our aim was to assess the prospective associations between asthma, levels of asthma control and risk of AMI. We followed 57,104 adults without previous history of AMI at baseline from Nord-Trøndelag health study (HUNT) in Norway. Self-reported asthma was categorised as active asthma (i.e., using asthma medication) and non-active asthma (i.e., not using asthma medication). Levels of asthma control were defined as controlled, partly controlled, and uncontrolled based on the Global Initiative for Asthma guidelines. AMI was ascertained by linking HUNT data with hospital records. A total of 2868 AMI events (5.0%) occurred during a mean (SD) follow-up of 17.2 (5.4) years. Adults with active asthma had an estimated 29% higher risk of developing AMI [adjusted hazard ratio (HR) 1.29, 95% CI 1.08–1.54] compared with adults without asthma. There was a significant dose–response association between asthma control and AMI risk, with highest risk in adults with uncontrolled asthma (adjusted HR 1.73, 95% CI 1.13–2.66) compared to adults with controlled asthma ( p for trend < 0.05). The associations were not explained by smoking status, physical activity and C-reactive protein levels. Our study suggests that active asthma and poor asthma control are associated with moderately increased risk of AMI. Further studies are needed to evaluate causal relationship and the underlying mechanisms and to clarify the role of asthma medications in the risk of AMI.