Change in Body Mass Index and Cardiovascular Outcomes in Patients With Cancer.

OBJECTIVE: To investigate the association between body mass index (BMI) changes and the risk of cardiovascular disease (CVD) in patients with cancer. PATIENTS AND METHODS: This retrospective observational study used data from the JMDC Claims Database obtained between January 2005, and April 2021. We included 52,344 individuals (median [IQR] age, 53 years [46 to 60 years]; 23,584 [45.1%] men) with cancer and no prior CVD. Patients were classified into 3 groups based on the percentage change in BMI from the initial health checkup to the checkup 1 year later: -5.0% or less (BMI loss), -5.0% to 5.0% (stable BMI), and 5.0% or more (BMI gain). The primary end point was composite CVD events including heart failure, atrial fibrillation, ischemic heart disease, and stroke. RESULTS: During a median follow-up period of 763 days (IQR, 369 to 1274 days), 3124 composite CVD events were observed. Compared with stable BMI, the hazard ratios (HRs) of BMI loss and gain for CVD events were 1.16 (95% CI, 1.00 to 1.34) and 1.10 (95% CI, 0.96 to 1.25), respectively. A U-shaped association was observed between the BMI changes and CVD events, particularly for nonatherosclerotic CVD outcomes including heart failure and atrial fibrillation. Compared with stable BMI, both BMI loss and gain increased the risk of heart failure (HR, 1.30; 95% CI, 1.08 to 1.57 and HR, 1.22; 95% CI, 1.02 to 1.47, respectively) and atrial fibrillation (HR, 1.70; 95% CI, 1.18 to 2.45 and HR, 1.55; 95% CI, 1.07 to 2.24, respectively). CONCLUSION: Cancer survivors with BMI loss and gain were at greater risk of CVD. Body mass index loss is associated with a higher risk of CVD.

Prediction of adverse cardiovascular events in children using artificial intelligence-based electrocardiogram.

BACKGROUND: Convolutional neural networks (CNNs) have emerged as a novel method for evaluating heart failure (HF) in adult electrocardiograms (ECGs). However, such CNNs are not applicable to pediatric HF, where abnormal anatomy of congenital heart defects plays an important role. ECG-based CNNs reflecting neurohormonal activation (NHA) may be a useful marker of pediatric HF. This study aimed to develop and validate an ECG-derived marker of pediatric HF that reflects the risk of future cardiovascular events. METHODS: Based on 21,378 ECGs from 8324 children, a CNN was trained using B-type natriuretic peptide (BNP) and the occurrence of major adverse cardiovascular events (MACEs). The output of the model, or the electrical heart failure indicator (EHFI), was compared with the BNP regarding its ability to predict MACEs in 813 ECGs from 295 children. RESULTS: EHFI achieved a better area under the curve than BNP in predicting MACEs within 180 days (0.826 versus 0.691, p = 0.03). On Cox univariable analyses, both EHFI and BNP were significantly associated with MACE (log10 EHFI: hazard ratio [HR] = 16.5, p < 0.005 and log10 BNP: HR = 4.4, p < 0.005). The time-dependent average precisions of EHFI in predicting MACEs were 32.4%-67.9% and 1.6-7.5-fold higher than those of BNP in the early period. Additionally, the MACE rate increased monotonically with EHFI, whereas the rate peaked at approximately 100 pg/mL of BNP and decreased in the higher range. CONCLUSIONS: ECG-derived CNN is a novel marker of HF with different prognostic potential from BNP. CNN-based ECG analysis may provide a new guide for assessing pediatric HF.

Sex Differences in the Association Between Depression and Incident Cardiovascular Disease.

Background: Depression is a known risk factor for cardiovascular disease (CVD), but the potential sex differences in this association remain unclear. Objectives: The aim of this study was to investigate the association between depression and subsequent CVD events, and to explore potential sex differences. Methods: The authors conducted a retrospective analysis using the JMDC Claims Database between 2005 and 2022. The study population included 4,125,720 individuals aged 18 to 75 years without a history of cardiovascular disease or renal failure and missing data at baseline. Participants were followed up for a mean of 1,288 days to assess the association between depression and subsequent CVD events, such as myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation. Results: Our analysis revealed a significant association between depression and subsequent composite CVD events in both men and women, with a stronger association observed in women. The HR for the composite endpoint was 1.64 (95% CI: 1.59-1.70) in women and 1.39 (95% CI: 1.35-1.42) in men after multivariable adjustment (P for interaction <0.001). Furthermore, the individual components of the composite endpoint were also associated with depression in both men and women, each of which was also observed to be more strongly associated in women. Conclusions: Our study provides evidence of a significant association between depression and subsequent CVD events in both men and women, with a more pronounced association observed in women. These findings highlight the importance of addressing depression and tailoring prevention and management strategies according to sex-specific factors.

Unawareness of being prescribed medications for diabetes and incident cardiovascular disease.

BACKGROUND: Some patients with diabetes are unaware that they are prescribed medications for diabetes. The purpose of this study is to determine, using a Japanese nationwide epidemiologic database, the association between unawareness of being prescribed medication for diabetes and the risk of developing cardiovascular disease (CVD) in patients with diabetes. METHODS: This observational cohort study analyzed data from the JMDC Claims Database between 2005 and 2022, including 94,048 patients with diabetes treated with medications. The primary endpoint was a composite endpoint including myocardial infarction (MI), stroke, heart failure (HF), and atrial fibrillation (AF). RESULTS: We identified 7561 composite CVD endpoints during a mean follow-up of 1199 ±â€¯902 days. Overall, 7779 (8.3 %) patients were unaware of being prescribed medications for diabetes. Those who did not know they were prescribed drugs were younger and had better glycemic control, but these individuals were at higher risk of developing combined CVD [hazard ratio (HR) 1.13, 95 % confidence interval (95 % CI) 1.04-1.22]. HRs of unawareness of being prescribed medications for diabetes were 1.33 (95 % CI 1.06-1.68) for MI, 1.13 (95 % CI 0.97-1.31) for stroke, 1.10 (95 % CI 1.00-1.21) for HF, and 1.19 (95 % CI 0.97-1.47) for AF, respectively. CONCLUSIONS: In patients with diabetes taking medications for diabetes, even if they are young and have good glycemic control, unawareness of being prescribed medications for diabetes was associated with a greater risk of developing CVD. It is important that they receive adequate education from their healthcare providers to accurately identify their treatment status.

Risk of cancer history in cardiovascular disease among individuals with hypertension.

Hypertension is the leading risk factor for cardiovascular disease (CVD). Although cancer has recently been increasingly recognized as a novel risk factor for CVD events, little is known about whether co-morbid cancer in individuals with hypertension could further increase the risk of CVD events. We sought to determine the association between the cancer history and the risk of CVD in individuals with hypertension. We retrospectively analyzed a large cohort of 747,620 individuals diagnosed with hypertension from January 2005 through May 2022 using the JMDC Claims Database. Composite CVD events, including myocardial infarction (MI), angina pectoris (AP), stroke, heart failure (HF), and atrial fibrillation (AF), were recorded, and a Cox proportional hazard regression was done to estimate hazard ratios (HR) based on the history of cancer and chemotherapy. 26,531 individuals had a history of cancer. During the mean follow-up period of 1269 ± 962 days, 67,154 composite CVD events were recorded. Compared with individuals without a cancer history, cancer survivors had a higher risk of developing composite CVD events (HR: 1.21, 95% confidence interval [CI]: 1.17-1.26). The HRs (95% CIs) associated with cancer history for MI, AP, stroke, HF, and AF were 1.07 (0.90-1.27), 1.13 (1.06-1.20), 1.14 (1.06-1.24), 1.31 (1.25-1.38), and 1.22 (1.10-1.35), respectively. Lastly, individuals who had received chemotherapy for cancer had a particularly higher risk of developing CVD compared to those who did not undergo chemotherapy. A history of cancer was associated with a greater risk of developing CVD among individuals with hypertension.

Comparison of incident hypertension between SGLT2 inhibitors vs. DPP4 inhibitors.

Although several randomized clinical trials have reported the potential benefit of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in reducing blood pressure (BP), whether SGLT2i can reduce incident hypertension is unknown. We analyzed individuals with diabetes who were newly prescribed SGLT2i or dipeptidyl peptidase 4 inhibitors (DPP4i) in a large-scale epidemiological database. The primary outcome was the incidence of hypertension. A propensity score matching algorithm was employed to compare the subsequent development of hypertension between the SGLT2i and DPP4i groups. After propensity score matching, 5708 well-balanced pairs of SGLT2i and DPP4i users were identified. SGLT2i administration was associated with a reduced risk of hypertension (HR 0.91, 95% CI: 0.84-0.97). The advantage of SGLT2i use over DPP4i use for incident hypertension was generally consistent in several sensitivity analyses, and subgroup analyses showed that SGLT2i use was significantly associated with a lower risk of hypertension in men, patients with baseline HbA1c of <7.5%, and baseline systolic blood pressure ≥127 mmHg. Our investigation using nationwide real-world data demonstrated the potential advantage of SGLT2i over DPP4i in reducing the development of hypertension in individuals with diabetes.

Awareness of Being Prescribed Antihypertensive Medications and Cardiovascular Outcomes.

BACKGROUND: Hypertension is a major cause of cardiovascular disease (CVD). In patients with hypertension, unawareness of the disease often results in poor blood pressure control and increases the risk of CVD. However, data in nationwide surveys regarding the proportion of unaware individuals and the implications of such on their clinical outcomes are lacking. We aimed to clarify the association between unawareness of being prescribed antihypertensive medications among individuals taking antihypertensive medications and the subsequent risk of developing CVD.Methods and Results: This retrospective cohort study analyzed data from the JMDC Claims Database, including 313,715 individuals with hypertension treated with antihypertensive medications (median age 56 years). The primary endpoint was a composite of myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation. Overall, 19,607 (6.2%) individuals were unaware of being prescribed antihypertensive medications. During the follow-up period, 33,976 composite CVD endpoints were documented. Despite their youth, minimal comorbidities, and the achievement of better BP control with a reduced number of antihypertensive prescriptions, unawareness of being prescribed antihypertensive medications was associated with a greater risk of developing composite CVD. Hazard ratios of unawareness of being prescribed antihypertensive medications were 1.16 for myocardial infarction, 1.25 for angina pectoris, 1.15 for stroke, 1.36 for heart failure, and 1.28 for atrial fibrillation. The results were similar in several sensitivity analyses, including the analysis after excluding individuals with dementia. CONCLUSIONS: Among individuals taking antihypertensive medications, assessing the awareness of being prescribed antihypertensive medications may help identify those at high risk for CVD-related events.

Metabolic syndrome and cardiovascular disease in cancer survivors.

BACKGROUND: The risk of subsequent cardiovascular disease (CVD) is high in cancer survivors. Although metabolic syndrome is an established risk factor for CVD, its association with cancer survivors has not yet been established. This study aimed to clarify whether metabolic syndrome is associated with subsequent CVD risk in patients with cancer using a nationwide epidemiological dataset. METHODS: We retrospectively analysed 53 510 patients with a history of breast, colorectal, or stomach cancer, which is reportedly a major site for developing cancer in Japan. Study participants were categorized into two groups based on the presence of metabolic syndrome, defined using the Japanese criteria (high waist circumference and ≥2 metabolic parameters including elevated blood pressure, elevated triglycerides, reduced high-density lipoprotein cholesterol, or elevated fasting plasma glucose). The clinical outcomes were collected between 2005 and 2021. The primary endpoint was defined as the composite CVD outcome, including myocardial infarction, angina pectoris, stroke, and heart failure. RESULTS: The median patient age was 54 years, and 37.5% of the patients were men. Metabolic syndrome was observed in 5558 (10.4%) patients. Over a mean follow-up period of 973 ± 791 days, 3085 composite CVD outcomes were recorded. Multivariable Cox regression analyses showed that metabolic syndrome was associated with a greater risk of developing CVD events (HR = 1.29, 95% CI = 1.15-1.45). Metabolic syndrome was also associated with an increased risk of CVD in patients with a follow-up period ≥1 year (HR = 1.33, 95% CI = 1.15-1.53). This relationship was also observed when metabolic syndrome was defined according to the International Diabetes Federation criteria (HR = 1.34, 95% CI = 1.21-1.49) and the National Cholesterol Education Program Adult Treatment Panel III criteria (HR = 1.32, 95% CI = 1.19-1.46). Subgroup analyses showed that the relationship between metabolic syndrome and incident CVD was more pronounced in the non-obese participants than in the obese participants. CONCLUSIONS: Metabolic syndrome is associated with a greater risk of developing CVD, even among cancer survivors.

Prediction of pacemaker-induced cardiomyopathy using a convolutional neural network based on clinical findings prior to pacemaker implantation.

Risk factors for pacemaker-induced cardiomyopathy (PICM) have been previously reported, including a high burden of right ventricular pacing, lower left ventricular ejection fraction, a wide QRS duration, and left bundle branch block before pacemaker implantation (PMI). However, predicting the development of PICM remains challenging. This study aimed to use a convolutional neural network (CNN) model, based on clinical findings before PMI, to predict the development of PICM. Out of a total of 561 patients with dual-chamber PMI, 165 (mean age 71.6 years, 89 men [53.9%]) who underwent echocardiography both before and after dual-chamber PMI were enrolled. During a mean follow-up period of 1.7 years, 47 patients developed PICM. A CNN algorithm for prediction of the development of PICM was constructed based on a dataset prior to PMI that included 31 variables such as age, sex, body mass index, left ventricular ejection fraction, left ventricular end-diastolic diameter, left ventricular end-systolic diameter, left atrial diameter, severity of mitral regurgitation, severity of tricuspid regurgitation, ischemic heart disease, diabetes mellitus, hypertension, heart failure, New York Heart Association class, atrial fibrillation, the etiology of bradycardia (sick sinus syndrome or atrioventricular block) , right ventricular (RV) lead tip position (apex, septum, left bundle, His bundle, RV outflow tract), left bundle branch block, QRS duration, white blood cell count, haemoglobin, platelet count, serum total protein, albumin, aspartate transaminase, alanine transaminase, estimated glomerular filtration rate, sodium, potassium, C-reactive protein, and brain natriuretic peptide. The accuracy, sensitivity, specificity, and area under the curve of the CNN model were 75.8%, 55.6%, 83.3% and 0.78 respectively. The CNN model could accurately predict the development of PICM using clinical findings before PMI. This model could be useful for screening patients at risk of developing PICM, ensuring timely upgrades to physiological pacing to avoid missing the optimal intervention window.

One-shot screening: Utilization of a two-dimensional convolutional neural network for automatic detection of left ventricular hypertrophy using electrocardiograms.

BACKGROUND AND OBJECTIVE: Left ventricular hypertrophy (LVH) can impair ejection function and elevate the risk of heart failure. Therefore, early detection through screening is crucial. This study aimed to propose a novel method to enhance LVH detection using 12-lead electrocardiogram (ECG) waveforms with a two-dimensional (2D) convolutional neural network (CNN). METHODS: Utilizing 42,127 pairs of ECG-transthoracic echocardiogram data, we pre-processed raw data into single-shot images derived from each ECG lead and conducted lead selection to optimize LVH diagnosis. Our proposed one-shot screening method, implemented during pre-processing, enables the superimposition of waveform source data of any length onto a single-frame image, thereby addressing the limitations of the one-dimensional (1D) approach. We developed a deep learning model with a 2D-CNN structure and machine learning models for LVH detection. To assess our method, we also compared our results with conventional ECG criteria and those of a prior study that used a 1D-CNN approach, utilizing the same dataset from the University of Tokyo Hospital for LVH diagnosis. RESULTS: For LVH detection, the average area under the receiver operating characteristic curve (AUROC) was 0.916 for the 2D-CNN model, which was significantly higher than that obtained using logistic regression and random forest methods, as well as the two conventional ECG criteria (AUROC of 0.766, 0.790, 0.599, and 0.622, respectively). Incorporating additional metadata, such as ECG measurement data, further improved the average AUROC to 0.921. The model's performance remained stable across two different annotation criteria and demonstrated significant superiority over the performance of the 1D-CNN model used in a previous study (AUROC of 0.807). CONCLUSIONS: This study introduces a robust and computationally efficient method that outperforms 1D-CNN models utilized in previous studies for LVH detection. Our method can transform waveforms of any length into fixed-size images and leverage the selected lead of the ECG, ensuring adaptability in environments with limited computational resources. The proposed method holds promise for integration into clinical practice as a tool for early diagnosis, potentially enhancing patient outcomes by facilitating earlier treatment and management.

Iatrogenic vertebral artery injury during catheter ablation treated using coil embolization.

The internal jugular vein (IJV) is occasionally used for blood access during catheter ablation. Additionally, accidental injury of the vertebral artery during an IJV puncture is a rare complication that can result in catastrophic events, such as death. However, vascular access complications cannot be completely prevented despite the introduction of ultrasound-guided punctures. Here, we present a case of a patient with symptomatic paroxysmal atrial fibrillation that required catheter ablation.

Removal of central venous catheter using Evolution® Rotating Dilator.

We experienced the first case of a difficult-to-extract central venous catheter removed with a pacemaker lead removal system: a 14-year-old boy with Hirschsprung's disease who had repeated catheter infections that could not be removed by traction. Because the catheter lumen was occluded, a suture was tied around the end of the catheter and the catheter was removed with a rotating dilator.

Comparison of estimated glomerular filtration rate change with sodium-glucose cotransporter-2 inhibitors versus glucagon-like peptide-1 receptor agonists among people with diabetes: A propensity-score matching study.

AIM: To compare the risk of developing kidney outcomes with use of glucagon-like peptide-1 receptor agonists (GLP-1RAs) versus use of sodium-glucose cotransporter-2 (SGLT2) inhibitors among individuals with diabetes. MATERIALS AND METHODS: In this retrospective observational study, we analysed 12 338 individuals with diabetes who newly initiated SGLT2 inhibitors or GLP-1RAs using data from the JMDC claims database. The primary outcome was change in the estimated glomerular filtration rate (eGFR), estimated using a linear mixed-effects model. A 1:4 propensity-score-matching algorithm was used to compare the changes in eGFR between GLP-1RA and SGLT2 inhibitor users. RESULTS: After propensity-score matching, 2549 individuals (median [range] age 52 [46-58] years, 80.6% men) were analysed (510 GLP-1RA new users and 2039 SGLT2 inhibitor new users). SGLT2 inhibitor use was associated with a slower eGFR decline when compared with GLP-1RA use (-1.41 [95% confidence interval -1.63 to -1.19] mL/min/1.73 m2 vs. -2.62 [95% confidence interval -3.15 to -2.10] mL/min/1.73 m2). CONCLUSIONS: Our analysis demonstrates the potential advantages of SGLT2 inhibitors over GLP-1RAs in terms of kidney outcomes in individuals with diabetes.

Sex Differences in the Relationship Between Schizophrenia and the Development of Cardiovascular Disease.

BACKGROUND: There are few data on sex differences in the association between schizophrenia and the development of cardiovascular disease (CVD). We sought to clarify the relationship of schizophrenia with the risk of developing CVDs and to explore the potential modification effect of sex differences. METHODS AND RESULTS: We conducted a retrospective analysis using the JMDC Claims Database between 2005 and 2022. The study population included 4 124 508 individuals aged 18 to 75 years without a history of CVD or renal replacement therapy. The primary end point is defined as a composite end point that includes myocardial infarction, angina pectoris, stroke, heart failure, atrial fibrillation, and pulmonary thromboembolism. During a mean follow-up of 1288±1001 days, we observed 182 158 composite end points. We found a significant relationship of schizophrenia with a greater risk of developing composite CVD events in both men and women, with a stronger association observed in women. The hazard ratio for the composite end point was 1.63 (95% CI, 1.52-1.74) in women and 1.42 (95% CI, 1.33-1.52) in men after multivariable adjustment (P for interaction=0.0049). This sex-specific difference in the association between schizophrenia and incident CVD was consistent for angina pectoris, heart failure, and atrial fibrillation. CONCLUSIONS: Our analysis using a large-scale epidemiologic cohort demonstrated that the association between schizophrenia and subsequent CVD events was more pronounced in women than in men, suggesting the clinical importance of addressing schizophrenia and tailoring the CVD prevention strategy based on sex-specific factors.

Benign Prostatic Hyperplasia and Incident Cardiovascular Disease.

BACKGROUND: Data regarding the relationship between benign prostatic hyperplasia (BPH) and incident cardiovascular disease (CVD) are scarce. We aimed to clarify the association of BPH with the risk of developing CVD using a nationwide epidemiological database.Methods and Results: This retrospective observational cohort study analyzed data from the JMDC Claims Database between 2005 and 2022, including 2,370,986 men (median age 44 years). The primary endpoints were myocardial infarction (MI), angina pectoris (AP), stroke, heart failure (HF), and atrial fibrillation (AF), which were assessed separately. BPH was observed in 48,651 (2.1%) men. During a mean (±SD) follow-up of 1,359±1,020 days, 7,638 MI, 52,167 AP, 25,355 stroke, 58,183 HF, and 16,693 AF events were detected. Hazard ratios of BPH for MI, AP, stroke, HF, and AF were 1.04 (95% confidence interval [CI] 0.92-1.18), 1.31 (95% CI 1.25-1.37), 1.26 (95% CI 1.18-1.33), 1.21 (95% CI 1.16-1.27), and 1.15 (95% CI 1.07-1.24), respectively. We confirmed the robustness of our primary findings through a multitude of sensitivity analyses. In particular, a history of BPH was associated with a higher risk of developing CVD, even in participants without obesity, hypertension, diabetes, or dyslipidemia. CONCLUSIONS: Our analysis of a nationwide epidemiological dataset demonstrated that BPH was associated with a greater risk of developing CVD in middle-aged men.

Association of Cancer and Its Interaction with Conventional Risk Factors on Cardiovascular Disease Risk.

Introduction We sought to examine the association of cancer history with the incidence of individual cardiovascular disease events and to clarify whether the history of cancer modifies the relationship between conventional cardiovascular risk factors and incident cardiovascular disease. Methods This retrospective cohort study used the JMDC Claims Database, including 3,531,683 individuals. The primary endpoint was the composite cardiovascular disease outcome, which included myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation. Results During a follow-up, 144,162 composite endpoints were recorded. Individuals with a history of cancer had a higher risk of developing composite cardiovascular disease events (HR 1.26, 95% CI 1.22-1.29). The HRs for myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation were 1.11 (95% CI 0.98-1.27), 1.15 (95% CI 1.10-1.20), 1.11 (95% CI 1.05-1.18), 1.39 (95% CI 1.34-1.44), and 1.22 (95% CI 1.13-1.32), respectively. Individuals who required chemotherapy for cancer had a higher risk of developing cardiovascular disease. Although conventional risk factors (e.g., overweight/obesity, hypertension, and diabetes) were associated with incident composite cardiovascular disease even in individuals with a history of cancer, the total population-attributable fractions of conventional risk factors were less in individuals with a history of cancer. Conclusion Individuals with a history of cancer (particularly those requiring chemotherapy) have a higher risk of cardiovascular disease. Traditional risk factors are important in the development of cardiovascular disease in individuals with and without a history of cancer. In individuals with a history of cancer, however, the total population-attributable fractions of conventional risk factors decreased.

Association between remnant cholesterol and incident atherosclerotic cardiovascular disease, heart failure, and atrial fibrillation.

BACKGROUND: It remains unclear if remnant cholesterol is associated with atherosclerotic cardiovascular disease (ASCVD) (myocardial infarction, angina pectoris and stroke), heart failure (HF), and atrial fibrillation (AF) under primary prevention settings. OBJECTIVE: We aimed to clarify this issue among a general population without a history of ASCVD, HF or AF. METHODS: Analyses were conducted with a nationwide health claims database collected in the JMDC Claims Database between 2005 and 2022 (n = 1,313,722; median age, 42 years; 54.6% men). We assessed the associations between remnant cholesterol calculated as total cholesterol minus HDL cholesterol minus LDL cholesterol and composite CVD outcomes, including, ASCVD, HF, and AF using Cox proportional hazard model, dividing the individuals into tertiles of remnant cholesterol (T1-T3). RESULTS: The mean follow-up duration was 3.0 years. In total, 43,755 events were recorded. Remnant cholesterol was significantly associated with composite CVD outcomes after adjustments (T3 vs T1: hazard ratio [HR]; 1.07, 95% confidence interval [CI]: 1.04-1.10, p-trend<0.001). Remnant cholesterol was associated with myocardial infarction (T3 vs T1:HR: 1.20, 95% CI: 1.06-1.34, p-trend=0.002), angina pectoris (T3 vs T1:HR: 1.09, 95% CI: 1.05-1.14, p-trend<0.001), stroke (T3 vs T1:HR: 1.08, 95% CI: 1.02-1.14, p-trend=0.007), and HF (T3 vs T1:HR: 1.08, 95% CI: 1.04-1.12, p-trend<0.001), while we found a marginal inverse association between remnant cholesterol and AF (T3 vs T1:HR: 0.92, 95% CI: 0.86-1.00, p-trend=0.054). CONCLUSION: Remnant cholesterol was positively associated with ASCVD and HF, while we found a marginal inverse association between remnant cholesterol and AF.