Impact of breast-, gastrointestinal-, and lung cancer on prognosis in patients with first-time pulmonary embolism: A Danish nationwide cohort study.

BACKGROUND: Pulmonary embolism (PE) is described as a prognostic factor in patients with cancer however, the prognostic impact of PE remains unknown. This study investigated, the 1-year prognosis following PE in patients with breast-, gastrointestinal-, or lung cancer stratified by cancer status. METHODS: All Danish patients with first-time PE from 2008 to 2018 were included. Cancer status was categorized as no cancer, history of cancer, non-active cancer and active cancer. Unadjusted and age-stratified 1-year risk of death was estimated using the Kaplan-Meier estimator. Cause of death was reported using the Aalen-Johansen method. RESULTS: Of 35,679 patients with PE, 18% had a breast-, gastrointestinal-, or lung cancer. Patients with cancer were older compared with no cancer (69.8 years [IQR: 56.2-79.8]). One-year risk of death (95% confidence interval) for active breast-, gastrointestinal-, and lung cancer was 49.5% (44.0%-54.9%), 75.0% (72.5%-77.4%) and 80.1% (78.0%-82.3%) respectively, compared with 18.9% (18.4%-19.3%) for no cancer. Age-stratified analysis revealed no association with increasing age in non-active lung cancer and all active cancers. Further, non-cardiovascular death accounted for an increasing proportion by cancer status (no cancer < history of cancer < non-active cancer < active cancer). CONCLUSIONS: One-year risk of death was dependent on both cancer type and status; no association with age was found for patients with active cancers. Non-cardiovascular death was leading in non-active and active cancers. Thus, the occurrence of first-time PE could be regarded as a marker of cancer severity for patients with breast-, gastrointestinal-, and lung cancer.

Cannabis for chronic pain: cardiovascular safety in a nationwide Danish study.

BACKGROUND AND AIMS: A rising number of countries allow physicians to treat chronic pain with medical cannabis. However, recreational cannabis use has been linked with cardiovascular side effects, necessitating investigations concerning the safety of prescribed medical cannabis. METHODS: Using nationwide Danish registers, patients with chronic pain initiating first-time treatment with medical cannabis during 2018-21 were identified and matched 1:5 to corresponding control patients on age, sex, chronic pain diagnosis, and concomitant use of other pain medication. The absolute risks of first-time arrhythmia (atrial fibrillation/flutter, conduction disorders, paroxysmal tachycardias, and ventricular arrhythmias) and acute coronary syndrome were reported comparing medical cannabis use with no use. RESULTS: Among 1.88 million patients with chronic pain (46% musculoskeletal, 11% cancer, 13% neurological, and 30% unspecified pain), 5391 patients claimed a prescription of medical cannabis [63.2% women, median age: 59 (inter-quartile range 48-70) years] and were compared with 26 941 control patients of equal sex- and age composition. Arrhythmia was observed in 42 and 107 individuals, respectively, within 180 days. Medical cannabis use was associated with an elevated risk of new-onset arrhythmia {180-day absolute risk: 0.8% [95% confidence interval (CI) 0.6%-1.1%]} compared with no use [180-day absolute risk: 0.4% (95% CI 0.3%-0.5%)]: a risk ratio of 2.07 (95% CI 1.34-2.80) and a 1-year risk ratio of 1.36 (95% CI 1.00-1.73). No significant association was found for acute coronary syndrome [180-day risk ratio: 1.20 (95% CI 0.35-2.04)]. CONCLUSIONS: In patients with chronic pain, the use of prescribed medical cannabis was associated with an elevated risk of new-onset arrhythmia compared with no use-most pronounced in the 180 days following the initiation of treatment.

Development and validation of cardiovascular risk prediction equations in 76 000 people with known cardiovascular disease.

AIMS: Multiple health administrative databases can be individually linked in Aotearoa New Zealand, using encrypted identifiers. These databases were used to develop cardiovascular risk prediction equations for patients with known cardiovascular disease (CVD). METHODS AND RESULTS: Administrative health databases were linked to identify all people aged 18-84 years with known CVD, living in Auckland and Northland, Aotearoa New Zealand, on 1 January 2014. The cohort was followed until study outcome, death, or 5 years. The study outcome was death or hospitalization due to ischaemic heart disease, stroke, heart failure, or peripheral vascular disease. Sex-specific 5-year CVD risk prediction equations were developed using multivariable Fine and Gray models. A total of 43 862 men {median age: 67 years [interquartile range (IQR): 59-75]} and 32 724 women [median age: 70 years (IQR: 60-77)] had 14 252 and 9551 cardiovascular events, respectively. Equations were well calibrated with good discrimination. Increasing age and deprivation, recent cardiovascular hospitalization, Mori ethnicity, smoking history, heart failure, diabetes, chronic renal disease, atrial fibrillation, use of blood pressure lowering and anti-thrombotic drugs, haemoglobin A1c, total cholesterol/HDL cholesterol, and creatinine were statistically significant independent predictors of the study outcome. Fourteen per cent of men and 23% of women had predicted 5-year cardiovascular risk <15%, while 28 and 24% had ≥40% risk. CONCLUSION: Robust cardiovascular risk prediction equations were developed from linked routine health databases, a currently underutilized resource worldwide. The marked heterogeneity demonstrated in predicted risk suggests that preventive therapy in people with known CVD would be better informed by risk stratification beyond a one-size-fits-all high-risk categorization.

Using regionwide New Zealand health databases, methods of predicting hospitalization risk in patients with existing heart disease were developed. Using only data from health databases, it was possible to predict the risk accurately.Among patients with existing heart disease, the predicted risk varied markedly which could help improve preventive strategies.

Patient mortality following new-onset heart failure stratified by cancer type and status.

AIM: Expected 1-year survival is essential to risk stratification of patients with heart failure (HF); however, little is known about the 1-year prognosis of patients with HF and cancer. Thus, the objective was to investigate the 1-year prognosis following new-onset HF stratified by cancer status in patients with breast, gastrointestinal, or lung cancer. METHODS AND RESULTS: All Danish patients with new-onset HF from 2000 to 2018 were included. Cancer status was categorized as history of cancer (no cancer-related contact within 5 years of HF diagnosis), non-active cancer (curative intended procedure administered) and active cancer. Standardized 1-year all-cause mortality was reported using G-computation. Age-stratified 1-year all-cause mortality was estimated using the Kaplan-Meier estimator. In total, 193 359 patients with HF were included, 7.3% had either a breast, gastrointestinal, or lung cancer diagnosis. Patients with cancer were older and more comorbid than patients without cancer. Standardized 1-year all-cause mortality (95% confidence intervals) was 24.6% (23.0-26.2%), 27.1% (25.5-28.6%), and 29.9% (25.9-34.0%) for history of breast, gastrointestinal and lung cancer, respectively, which was comparable to patients with non-active cancers. For active breast, gastrointestinal and lung cancer, standardized 1-year all-cause mortality was 36.2% (33.8-38.6%), 49.0% (47.2-50.9%), and 61.6% (59.7-63.5%), respectively. One-year all-cause mortality increased incrementally with age, except for active lung cancer. CONCLUSION: Standardized 1-year all-cause mortality was comparable for patients with history of cancer and non-active cancer regardless of cancer type, but varied comprehensively for active cancers. Prognostic impact of age was limited for active lung cancer. Thus, granular stratification of cancer is necessary for optimized management of new-onset HF.

High risk of rehospitalization within one year following a pulmonary embolism-Insights from the Danish nationwide registries from 2000-2020.

AIM: To identify the absolute risk, causes and factors associated with rehospitalization within 1 year of discharge with a pulmonary embolism (PE). METHODS AND RESULTS: Using the Danish nationwide registries, all patients admitted with a first-time PE between 2000 and 2020 and discharged alive were included. Subsequent hospitalizations were categorized and crude cumulative incidences, were used to estimate the absolute risk (AR) of any rehospitalization and specific causes of rehospitalizations. Risk factors for rehospitalization were investigated using cause specific Cox regression models.A total of 55 201 patients were identified. The median age of the study population was 70 years (inter quartile range: 59;79), and the most prevalent comorbidities were cancer (29.3%) and ischemic heart disease (12.7%). The 1-year AR of any rehospitalization after discharge with a PE was 48.6% (95% confidence interval (CI); 48.2%-48.8%). The most common cause for being rehospitalized was due to respiratory disease (1-year AR: 9.5% (95% CI: 9.3%-9.8%)), followed by cardiovascular disease (1-year AR: 6.3% (95% CI: 5.9%-6.5%)), cancer (1-year AR: 6.0% (95% CI: 5.8%-6.4%)), venous thromboembolism (1-year AR: 5.2% (95% CI: 5.0%-5.2%)), and symptom diagnoses (1-year AR: 5.2% (95%CI: 5.0%-5.4%)). Factors that were associated with an increased risk of rehospitalization were cancer, liver disease, chronic obstructive pulmonary disease, chronic kidney disease, and immobilization. CONCLUSION: Patients with PE have a high risk of rehospitalization, with almost half of patients being rehospitalized within 1 year. Identification of high-risk patients may help target interventions aiming at reducing the risk of rehospitalization.

Prognosis of acute coronary syndrome stratified by cancer type and status - a nationwide cohort study.

BACKGROUND: To investigated the prognosis of the most prevalent cancers (breast-, gastrointestinal-, and lung cancer), according to cancer status (i.e., active-, non-active-, history of-, and no cancer), following first-time of acute coronary syndrome (ACS). METHODS: Danish nationwide registers were used to identify patients with first-time ACS from 2000-2018. Patients were stratified according to cancer type and status. Hazard ratios (HR) estimated by adjusted Cox regression models for 1year all-cause mortality reported. Further absolute risks of 1year cardiovascular versus non-cardiovascular death and 30-day cumulative incidence of coronary angiograms (CAG) was estimated, using the Aalen-Johansen non-parametric method, with competing risk of death. RESULTS: We identified 150,478 (95.7%) with no cancer, 2,370 (1.5%) with history of cancer, 2,712 (1.7%) with non-active cancer and 1,704 (1.1%) with active cancer. Cancer patients were older with more comorbidities than patients with no cancer. When compared with no cancer, we found HRs (95% confidence intervals) of 1.71 (1.44-2.02), 2.47 (2.23-2.73) and 4.22 (3.87-4.60) correspondingly for active breast-, gastrointestinal-, and lung cancer. Increased HRs were also found for non-active cancers, but not for history of cancer. Cardiovascular disease was the leading cause of death in all patients. Among patients with active breast-, gastrointestinal-, and lung cancer 43%, 43%, and 31% underwent CAG, correspondingly, compared with 77% of patients without cancer. CONCLUSIONS: Active- and non-active cancers were associated with an increased 1-year all-cause mortality compared with patients with history of cancer and no cancer. Cardiovascular disease was the leading cause of death; notably CAG was less frequently performed in cancer patients.

New-onset atrial fibrillation: incidence, characteristics, and related events following a national COVID-19 lockdown of 5.6 million people.

AIM: To determine the incidence, patient characteristics, and related events associated with new-onset atrial fibrillation (AF) during a national COVID-19 lockdown. METHODS AND RESULTS: Using nationwide Danish registries, we included all patients, aged 18-90 years, receiving a new-onset AF diagnosis during the first 3 months of 2019 and 2020. The main comparison was between patients diagnosed during lockdown (12 March 12-1 April 2020) and patients diagnosed in the corresponding period 1 year previously. We found a lower incidence of new-onset AF during the 3 weeks of lockdown compared with the corresponding weeks in 2019 [incidence rate ratios with 95% confidence intervals (CIs) for the 3 weeks: 0.66 (0.56-0.78), 0.53 (0.45-0.64), and 0.41 (0.34-0.50)]. There was a 47% drop in total numbers (562 vs. 1053). Patients diagnosed during lockdown were younger and with a lower CHA2DS2-VASc score, while history of cancer, heart failure, and vascular disease were more prevalent. During lockdown, 30 (5.3%) patients with new-onset AF suffered an ischaemic stroke and 15 (2.7%) died, compared with 45 (4.3%) and 14 (1.3%) patients during the corresponding 2019 period, respectively. The adjusted odds ratio of a related event (ischaemic stroke or all-cause death) during lock-down compared with the corresponding weeks was 1.41 (95% CI 0.93-2.12). CONCLUSIONS: Following a national lockdown in Denmark, a 47% drop in registered new-onset AF cases was observed. In the event of prolonged or subsequent lockdowns, the risk of undiagnosed AF patients developing complications could potentially translate into poorer outcomes in patients with AF during the COVID-19 pandemic.