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Introduction: It is unknown whether the cardiovascular risks associated with non-steroidal anti-inflammatory drug (NSAID) use differ according to lifestyle and socioeconomic position. Objective: We examined the association between NSAID use and major adverse cardiovascular events (MACE) within subgroups defined by lifestyle and socioeconomic position. Methods: We conducted a case-crossover study of all adult first-time respondents to the Danish National Health Surveys of 2010, 2013, or 2017, without previous cardiovascular disease, who experienced a MACE from survey completion through 2020. We used a Mantel-Haenszel method to obtain odds ratios (ORs) of the association between NSAID use (ibuprofen, naproxen, or diclofenac) and MACE (myocardial infarction, ischemic stroke, heart failure, or all-cause death). We identified NSAID use and MACE via nationwide Danish health registries. We stratified the analyses by body mass index, smoking status, alcohol consumption, physical activity level, marital status, education, income, and employment. Results: Compared with non-use, the OR of MACE was 1.34 (95% confidence interval: 1.23–1.46) for ibuprofen, 1.48 (1.04–2.43) for naproxen, and 2.18 (1.72–2.78) for diclofenac. When comparing NSAID use with non-use or the individual NSAIDs with each other, we observed no notable heterogeneity in the ORs within subgroups of lifestyle and socioeconomic position for any NSAID. Compared with ibuprofen, diclofenac was associated with increased risk of MACE in several subgroups with high cardiovascular risk, e.g., individuals with overweight (OR 1.52, 1.01–2.39) and smokers (OR 1.54, 0.96–2.46). Conclusions: The relative increase in cardiovascular risk associated with NSAID use was not modified by lifestyle or socioeconomic position.

Pulmonary embolism is a risk factor for chronic thromboembolic pulmonary hypertension (CTEPH), but the prognostic impact of CTEPH on venous thromboembolism (VTE) mortality remains unclear. We examined the impact of CTEPH and other pulmonary hypertension (PH) subtypes on long-term mortality after VTE. We conducted a nationwide, population-based cohort study of all adult Danish patients alive 2 years after incident VTE without previous PH from 1995 to 2020 (n = 129,040). We used inverse probability of treatment weights in a Cox model to calculate standardized mortality rate ratios (SMRs) of the association between receiving a first-time PH diagnosis ≤2 years after incident VTE and mortality (all-cause, cardiovascular, and cancer). We grouped PH as PH associated with left-sided cardiac disease (group II), PH associated with lung diseases and/or hypoxia (group III), CTEPH (group IV), and unclassified (remaining patients). Total follow-up was 858,954 years. The SMR associated with PH overall was 1.99 (95% confidence interval 1.75 to 2.27) for all-cause, 2.48 (1.90 to 3.23) for cardiovascular, and 0.84 (0.60 to 1.17) for cancer mortality. The SMR for all-cause mortality was 2.62 (1.77 to 3.88) for group II, 3.98 (2.85 to 5.56) for group III, 1.88 (1.11 to 3.20) for group IV, and 1.73 (1.47 to 2.04) for unclassified PH. The cardiovascular mortality rate was increased approximately threefold for groups II and III but was not increased for group IV. Only group III was associated with increased cancer mortality. In conclusion, PH diagnosed ≤2 years after incident VTE was associated with an overall twofold increased long-term mortality driven by cardiovascular causes.

Aim: To present the content, data quality, and research potential of the West Jutland Tele-Electrocardiogram Registry (WEJU-tECG). Methods: Danish patients reporting symptoms indicating heart disease in the prehospital setting are subjected to a 12-lead tele-electrocardiogram (ECG) in the ambulance, which is digitally sent to a local tele-centre. WEJU-tECG is a newly established Danish registry containing information from the individual tele-ECGs received at the Regional Hospital West Jutland tele-centre. Results: WEJU-tECG holds extracted information from all tele-ECGs with a valid Civil Personal Register number between 2011 and 2020. WEJU-tECG contains information on patient characteristics, tele-ECG data (including a computerised tele-ECG interpretation), vital signs, and time information. A unique Civil Personal Register number allows individual-level linkage between WEJU-tECG and other Danish registries and enables complete follow-up. WEJU-tECG contains 43,696 tele-ECGs from 29,489 different patient contacts among 20,280 different patients. WEJU-tECG contains 5566 patients with ST-segment deviations. The median age is 67 years and 45% are women. Completeness is highest for time information (100% for all variables), tele-ECG data (99% for heart rate, the specific intervals and axes, and QRS duration, and 86% for J-point deviation), and patient characteristics (100% for all variables). Completeness is lowest for vital signs (13% for systolic, diastolic, and mean arterial blood pressure, and 12% for blood oxygen saturation). The computerised tele-ECG interpretation had a negative predictive value of 80% for ST-segment elevation myocardial infarction and 94% for non-ST-segment elevation myocardial infarction and a positive predictive value of 45% for ST-segment elevation myocardial infarction and 32% for non-ST-segment elevation myocardial infarction. Conclusions: WEJU-tECG is a novel population-based tele-ECG registry with high research potential.

INTRODUCTION: The Danish Comorbidity Index for Acute Myocardial Infarction (DANCAMI) was developed to predict one-year mortality after myocardial infarction. We validated DANCAMI in predicting one-year mortality after venous thromboembolism (VTE).MATERIALS AND METHODS: We identified all first-time VTE patients in Denmark during 2000-2015. Using Cox regression, we assessed the performance of DANCAMI to predict one-year all-cause mortality using Nagelkerke's R 2, Harrell's C-Statistic, the net reclassification index (NRI), and the integrated discrimination improvement (IDI). We compared the performance of DANCAMI with the Charlson Comorbidity Index (CCI) and the Elixhauser Comorbidity Index (ECI) and evaluated whether DANCAMI comorbidities not included in the CCI predicted one-year mortality. We stratified the analyses by type (deep vein thrombosis [DVT] and pulmonary embolism [PE]) and presence of provoking risk factors. RESULTS: We identified 108,824 VTE patients of whom 20,649 (19%) died within one year. The R 2, C-Statistic, NRI, and IDI for DANCAMI were 0.35, 0.76, 0.63, and 0.098 for VTE overall; 0.43, 0.80, 0.70, and 0.105 for DVT; and 0.24, 0.71, 0.54, and 0.083 for PE. The R 2 and C-Statistic for VTE overall were 0.35 and 0.76 for CCI and 0.33 and 0.75 for ECI. After adjusting for age, sex, and all CCI comorbidities, seven DANCAMI comorbidities, not included in the CCI, predicted increased mortality. DANCAMI performed better than the CCI and ECI in predicting mortality after provoked VTE, including provoked DVT and PE. CONCLUSION: DANCAMI performed comparable to existing comorbidity indices in predicting one-year mortality after first-time VTE overall, but better after provoked VTE.

Non-aspirin nonsteroidal anti-inflammatory drugs (NSAIDs) are frequently used to treat pain, fever, and inflammation. Historically, NSAIDs have been categorized as traditional NSAIDs and newer cyclooxygenase (COX)-2 inhibitors (coxibs). However, traditional NSAIDs also inhibit the COX-1 and COX-2 enzyme isoforms to a varying degree. This diversity of COX-1 and COX-2 selectivity within the class of traditional NSAIDs has proven clinically important, with evidence accumulating on the cardiovascular risks associated with selective COX-2 inhibition. Thus, the relative COX-2 selectivity of traditional NSAIDs correlates with their cardiovascular risk profile, being more favourable for non-selective NSAIDs, such as naproxen and low-dose ibuprofen, and less favourable for more COX-2 selective agents, such as diclofenac. To enhance clinically relevant terminology, we advocate categorizing all non-aspirin NSAIDs—including traditional NSAIDs—according to their relative COX-1 and COX-2 selectivity as either COX-1 inhibitors, non-selective NSAIDs, or COX-2 inhibitors. We further recommend subcategorizing COX-2 inhibitors as newer COX-2 inhibitors (coxibs) or older COX-2 inhibitors. Finally, we recommend examining the effects of the individual NSAIDs included in each of the proposed categories. Adhering to these recommendations will align future studies, advance interpretation of COX-specific adverse cardiovascular effects, and provide better guidance to clinicians prescribing NSAIDs.

Background: Knowledge of chronic opioid use after cardiac surgery is sparse. We therefore aimed to describe the proportion of new chronic post-operative opioid use after open cardiac surgery. Methods: We used prospectively registered data from a national prescription registry and a clinical registry of 29 815 first-time cardiac surgeries from three Danish university hospitals. Data collection spanned from 2003 to 2016. The main outcome was chronic post-operative opioid use, defined as at least one opioid dispensing in the fourth post-operative quarter. Data were assessed for patient-level predictors of chronic post-operative opioid use, including pre-operative opioid use, opioid use at discharge, comorbidities, and procedural related variables. Results: The overall proportion of post-operative opioid use was 10.6% (95% CI: 10.2-10.9). The proportion of new chronic post-operative opioid use was 5.7% (95% CI: 5.5-6.0) among pre-operative opioid naïve patients. The corresponding proportions among patients, who pre-operatively used low or high dose opioid (1-500 mg or > 500 mg cumulative morphine equivalent opioid), were 68.3% (95% CI: 66.1-70.4) and 76.3% (95% CI: 74.0-78.5) respectively. Risk factors associated with new chronic post-operative opioid use included: female gender, underweight and obesity, pre-operative comorbidities, acute surgery, ICU-time > 1 day, and post-operative complications. Strongest predictor of chronic post-operative opioid use was post-discharge use of opioid within one month after surgery (odds ratio 3.3, 95% CI: 2.8-4.0). Conclusion: New chronic post-operative opioid use after open cardiac surgery is common. Focus on post-discharge opioid use may help clinicians to reduce rates of new chronic opioid users.

Purpose: Lifestyle and socioeconomic position may confound the link between non-steroidal anti-inflammatory drugs (NSAIDs) and cardiovascular events, if associated with NSAID use. We examined this association. Methods: We conducted a cohort study of all adult first-time responders to the Danish National Health Surveys of 2010, 2013, or 2017 without an NSAID prescription within 3 months before survey completion (n = 407 395). Study exposures were weight, smoking status, alcohol consumption, binge drinking frequency, physical activity level, marital status, highest achieved level of education, income, and employment status. We used a Cox model to compute hazard ratios of time to first redemption of an NSAID prescription and a cumulative odds model to compute odds ratios (ORs) of redeeming one additional NSAID prescription in the year after survey completion. Results: Total follow-up time was 1 931 902 years. The odds of redeeming one additional NSAID prescription in the year after survey completion varied within all categories of lifestyle and socioeconomic position. The largest ORs were observed within categories of weight (1.70, 95% CI: 1.65–1.74 for obesity vs. normal weight), smoking status (1.24, 95% CI: 1.21–1.27 for current vs. never use), and education (1.44, 95% CI: 1.39–1.49 for primary or other vs. university or higher education). The Cox model showed consistent results. Conclusions: Markers of unhealthy lifestyle and low socioeconomic position were associated with initiation and prolonged NSAID use. Consideration of lifestyle and socioeconomic markers as potential confounders in NSAID studies is therefore recommended.