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Ribeiro GJS, Moriguchi EH, Pinto AA. Clustering of Cardiovascular Risk Factors and Heart Failure in Older Adults from the Brazilian Far North. Healthcare (Basel) 2024; 12:951. [PMID: 38727508 PMCID: PMC11082983 DOI: 10.3390/healthcare12090951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/22/2024] [Accepted: 04/30/2024] [Indexed: 05/13/2024] Open
Abstract
Given the aging global population, identifying heart failure (HF) phenotypes has become crucial, as distinct disease characteristics can influence treatment and prognosis in older adults. This study aimed to analyze the association between clustering of cardiovascular risk factors and HF in older adults. A cross-sectional epidemiological study was conducted with 1322 older adults (55% women, mean age 70.4) seen in primary health care. Diagnosis of HF was performed by a cardiologist based on diagnostic tests and medical history. Cardiovascular risk factors included hypertension, diabetes, hypercholesterolemia, and smoking. Using logistic regression, potential associations were tested. Individual risk factor analysis showed that older adults with hypertension, diabetes, or hypercholesterolemia had up to 7.6 times higher odds to have HF. The cluster where older adults had only one risk factor instead of none increased the odds of HF by 53.0%. Additionally, the odds of older patients having HF ranged from 3.59 times for the two-risk factor cluster to 20.61 times for the simultaneous presence of all four factors. The analysis of clusters substantially increasing HF risk in older adults revealed the importance of individualizing subgroups with distinct HF pathophysiologies. The clinical significance of these clusters can be beneficial in guiding a more personalized therapeutic approach.
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Affiliation(s)
- Guilherme José Silva Ribeiro
- Graduate Program in Nutrition Science, Department of Nutrition, Federal University of Viçosa, Viçosa 36570-900, Brazil;
| | - Emilio Hideyuki Moriguchi
- Graduate Program in Cardiology and Cardiovascular Sciences, Department of Cardiology, Federal University of Rio Grande do Sul, Rio Grande do Sul 90010-150, Brazil;
| | - André Araújo Pinto
- Health Sciences Center, State University of Roraima, Roraima 69306-530, Brazil
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Gao X, Zhang N, Lu L, Gao T, Chou OHI, Wong WT, Chang C, Wai AKC, Lip GYH, Zhang Q, Tse G, Liu T, Zhou J. New-onset syncope in diabetic patients treated with sodium-glucose cotransporter-2 inhibitors versus dipeptidyl peptidase-4 inhibitors: a Chinese population-based cohort study. EUROPEAN HEART JOURNAL. CARDIOVASCULAR PHARMACOTHERAPY 2024; 10:103-117. [PMID: 37962962 DOI: 10.1093/ehjcvp/pvad086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/17/2023] [Accepted: 11/11/2023] [Indexed: 11/16/2023]
Abstract
BACKGROUND AND AIMS Syncope is a symptom that poses an important diagnostic and therapeutic challenge, and generates significant cost for the healthcare system. Sodium-glucose cotransporter-2 inhibitors (SGLT2i) have demonstrated beneficial cardiovascular effects, but their possible effects on incident syncope have not been fully investigated. This study compared the effects of SGLT2i and dipeptidyl peptidase-4 inhibitors (DPP4i) on new-onset syncope. METHODS AND RESULTS This was a retrospective, territory-wide cohort study enrolling type 2 diabetes mellitus (T2DM) patients treated with SGLT2i or DPP4i between 1 January 2015 and 31 December 2020, in Hong Kong, China. The outcomes were hospitalization of new-onset syncope, cardiovascular mortality, and all-cause mortality. Multivariable Cox regression and different approaches using the propensity score were applied to evaluate the association between SGLT2i and DPP4i with incident syncope and mortality. After matching, a total of 37 502 patients with T2DM were included (18 751 SGLT2i users vs. 18 751 DPP4i users). During a median follow-up of 5.56 years, 907 patients were hospitalized for new-onset syncope (2.41%), and 2346 patients died from any cause (6.26%), among which 471 deaths (1.26%) were associated with cardiovascular causes. Compared with DPP4i users, SGLT2i therapy was associated with a 51% lower risk of new-onset syncope [HR 0.49; 95% confidence interval (CI) 0.41-0.57; P < 0.001], 65% lower risk of cardiovascular mortality (HR 0.35; 95% CI 0.26-0.46; P < 0.001), and a 70% lower risk of all-cause mortality (HR 0.30; 95% CI 0.26-0.34; P < 0.001) in the fully adjusted model. Similar associations with syncope were observed for dapagliflozin (HR 0.70; 95% CI 0.58-0.85; P < 0.001), canagliflozin (HR 0.48; 95% CI 0.36-0.63; P < 0.001), and ertugliflozin (HR 0.45; 95% CI 0.30-0.68; P < 0.001), but were attenuated for empagliflozin (HR 0.79; 95% CI 0.59-1.05; P = 0.100) after adjusting for potential confounders. The subgroup analyses suggested that, compared with DPP4i, SGLT2i was associated with a significantly decreased risk of incident syncope among T2DM patients, regardless of gender, age, glucose control status, Charlson comorbidity index, and the association remained constant amongst those with common cardiovascular drugs and most antidiabetic drugs at baseline. CONCLUSION Compared with DPP4i, SGLT2i was associated with a significantly lower risk of new-onset syncope in patients with T2DM, regardless of gender, age, degree of glycaemic control, and comorbidity burden.
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Affiliation(s)
- Xinyi Gao
- Department of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Nan Zhang
- Department of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Lei Lu
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - Tianyu Gao
- School of Physical Education, Jinan University, Guangzhou, China
| | - Oscar Hou In Chou
- Department of Medicine, Division of Clinical Pharmacology and Therapeutics, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
- Diabetes Research Unit, Cardiovascular Analytics Group, PowerHealth Limited, Hong Kong, China
| | - Wing Tak Wong
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Carlin Chang
- Department of Medicine, Queen Mary Hospital, Pokfulam, Hong Kong, China
| | - Abraham Ka Chung Wai
- Emergency Medicine Unit, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Sciences, University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Qingpeng Zhang
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, and the Musketeers Foundation Institute of Data Science, University of Hong Kong, Hong Kong, China
| | - Gary Tse
- Department of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
- School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China
| | - Tong Liu
- Department of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Jiandong Zhou
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Division of Health Science, Warwick Medical School, University of Warwick, Coventry, UK
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Wu Y, Shen P, Xu L, Yang Z, Sun Y, Yu L, Zhu Z, Li T, Luo D, Lin H, Shui L, Tang M, Jin M, Chen K, Wang J. Association between visit-to-visit lipid variability and risk of ischemic heart disease: a cohort study in China. Endocrine 2023:10.1007/s12020-023-03661-8. [PMID: 38159173 DOI: 10.1007/s12020-023-03661-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 12/12/2023] [Indexed: 01/03/2024]
Abstract
AIMS To explore the associations between visit-to-visit lipid variability and risk of ischemic heart disease (IHD) in a population-based cohort in China. METHODS We evaluated lipid variability in 30,217 individuals from the Yinzhou Health Information System who had ≥3 recorded lipid measurements during 2010-2014. We used various indicators including standard deviation (SD), coefficient of variation (CV), variability independent of the mean (VIM), and average real variability (ARV) to quantify the variability in triglycerides, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Overall, a total of 1305 participants with IHD were identified during the follow-up of 194,421 person-years. Subjects in Q4 had a 21% elevated risk of IHD (HR = 1.21, 95% CI: 1.03-1.41) for LDL-C variability (CV) compared with the reference (Q1). The HRs for Q4 vs Q1 were 1.21 (95% CI: 1.04-1.42) for HDL-C variability, and 1.28 (95% CI: 1.10-1.50) for TC variability. However, no association was observed between triglycerides variability and risk of IHD. CONCLUSIONS Higher variability in LDL-C, HDL-C, and TC levels was associated with an elevated risk of IHD, suggesting that lipid variability could be considered as an independent risk factor of IHD.
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Affiliation(s)
- Yonghao Wu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China
| | - Peng Shen
- Data Center, Yinzhou District Center for Disease Control and Prevention, Ningbo, 315040, China
| | - Lisha Xu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China
| | - Zongming Yang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China
| | - Yexiang Sun
- Data Center, Yinzhou District Center for Disease Control and Prevention, Ningbo, 315040, China
| | - Luhua Yu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China
| | - Zhanghang Zhu
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Tiezheng Li
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China
| | - Dan Luo
- Hangzhou Medical College, Hangzhou, 310053, China
| | - Hongbo Lin
- Data Center, Yinzhou District Center for Disease Control and Prevention, Ningbo, 315040, China
| | - Liming Shui
- Yinzhou District Health Bureau of Ningbo, Ningbo, 315040, China
| | - Mengling Tang
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Mingjuan Jin
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Kun Chen
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
| | - Jianbing Wang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310058, China.
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Lee YHA, Hui JMH, Leung CH, Tsang CTW, Hui K, Tang P, Chan JSK, Dee EC, Ng K, McBride S, Nguyen PL, Tse G, Ng CF. Major adverse cardiovascular events of enzalutamide versus abiraterone in prostate cancer: a retrospective cohort study. Prostate Cancer Prostatic Dis 2023:10.1038/s41391-023-00757-0. [PMID: 38049634 DOI: 10.1038/s41391-023-00757-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 11/02/2023] [Accepted: 11/09/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND While the cardiovascular risks of androgen receptor pathway inhibitors have been studied, they were seldom compared directly. This study compares the risks of major adverse cardiovascular events (MACE) between enzalutamide and abiraterone among prostate cancer (PCa) patients. METHODS Adult PCa patients receiving either enzalutamide or abiraterone in addition to androgen deprivation therapy in Hong Kong between 1 December 1999 and 31 March 2021 were identified in this retrospective cohort study. Patients who switched between enzalutamide and abiraterone, initiated abiraterone used without steroids, or experienced prior cardiac events were excluded. Patients were followed-up until 30 September 2021. The primary outcomes were MACE, a composite of stroke, myocardial infarction (MI), Heart failure (HF), or all-cause mortality and a composite of adverse cardiovascular events (CACE) not including all-cause mortality. The secondary outcomes were individual components of MACE. Inverse probability treatment weighting was used to balance covariates between treatment groups. RESULTS In total, 1015 patients were analyzed (456 enzalutamide users and 559 abiraterone users; mean age 70.6 ± 8.8 years old) over a median follow-up duration of 11.3 (IQR: 5.3-21.3) months. Enzalutamide users had significantly lower risks of 4P-MACE (weighted hazard ratio (wHR) 0.71 [95% confidence interval (CI) 0.59-0.86], p < 0.001) and CACE (wHR 0.63 [95% CI: 0.42-0.96], p = 0.031), which remained consistent in multivariable analysis. Such an association may be stronger in patients aged ≥65 years or without diabetes mellitus and was independent of bilateral orchidectomy. Enzalutamide users also had significantly lower risks of MI (wHR 0.57 [95% CI: 0.33-0.97], p = 0.040) and all-cause mortality (wHR 0.71 [95% CI: 0.59-0.85], p < 0.001). CONCLUSION Enzalutamide was associated with lower cardiovascular risks than abiraterone in PCa patients.
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Affiliation(s)
- Yan Hiu Athena Lee
- Cardio-Oncology Research Unit, Cardiovascular Analytics Group, PowerHealth Research Institute, Hong Kong, China
- Division of Urology, Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Jeremy Man Ho Hui
- Cardio-Oncology Research Unit, Cardiovascular Analytics Group, PowerHealth Research Institute, Hong Kong, China
| | - Chi Ho Leung
- Division of Urology, Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Christopher Tze Wei Tsang
- Cardio-Oncology Research Unit, Cardiovascular Analytics Group, PowerHealth Research Institute, Hong Kong, China
| | - Kyle Hui
- Cardio-Oncology Research Unit, Cardiovascular Analytics Group, PowerHealth Research Institute, Hong Kong, China
| | - Pias Tang
- Cardio-Oncology Research Unit, Cardiovascular Analytics Group, PowerHealth Research Institute, Hong Kong, China
| | - Jeffrey Shi Kai Chan
- Cardio-Oncology Research Unit, Cardiovascular Analytics Group, PowerHealth Research Institute, Hong Kong, China
| | - Edward Christopher Dee
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenrick Ng
- Department of Medical Oncology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Sean McBride
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Paul L Nguyen
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center and Harvard Medical School, Boston, MA, USA
| | - Gary Tse
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
- Kent and Medway Medical School, Canterbury, Kent, CT2 7NT, UK.
- School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China.
| | - Chi Fai Ng
- Division of Urology, Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
- SH Ho Urology Centre, The Chinese University of Hong Kong, Hong Kong, China.
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Wang Y, Zhou J, Qi W, Zhang N, Tse G, Li G, Wu S, Liu T. Visit-to-Visit Variability in Fasting Blood Glucose Predicts the New-Onset Heart Failure: Results From Two Large Chinese Cohorts. Curr Probl Cardiol 2023; 48:101842. [PMID: 37244508 DOI: 10.1016/j.cpcardiol.2023.101842] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 05/22/2023] [Indexed: 05/29/2023]
Abstract
Previous studies have hypothesized an association between higher fasting blood glucose (FBG) and heart failure (HF). However, FBG values fluctuate continuously over time, the association between FBG variability and the risk of HF is uncertain. We investigated the relationship between visit-to-visit variability in FBG and the risk of new-onset HF. This cohort study used data from a prospective Kailuan cohort (recruited during 2006-2007) and a retrospective cohort of family medicine patients from Hong Kong (recruited during 2000-2003) were followed up until December 31st, 2016, and December 31st, 2019, respectively, for the outcome of incident HF. Four indexes of variability were used, including standard deviation (SD), coefficient of variation (CV), variability independent of the mean (VIM), and average real variability (ARV). Cox regression was used to identify HF. In total, 98,554 and 22,217 subjects without preexisting HF from the Kailuan and Hong Kong cohorts were analyzed, respectively, with 1218 cases of incident HF in the former and 4,041 in the latter. Subjects in the highest quartile of FBG-CV had the highest risk of incident HF in both cohorts (Kailuan: HR 1.245, 95% CI 1.055-1.470); Hong Kong: HR 1.362, 95%CI 1.145-1.620; compared with the lowest quartile). Similar results were observed when using FBG-ARV, FBG-VIM, and FBG-SD. Meta-analysis showed similar results (highest versus lowest quartile: HR 1.30, 95%CI 1.15-1.47, P < 0.0001). As observed from 2 large, geographically distinct Chinese cohorts, a higher FBG variability was independently associated with higher risk of incident HF.
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Affiliation(s)
- Yueying Wang
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China
| | - Jiandong Zhou
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Wenwei Qi
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China
| | - Nan Zhang
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China
| | - Gary Tse
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China; School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China
| | - Guangping Li
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan City, China.
| | - Tong Liu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.
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Zhou J, Li A, Tan M, Lam MCY, Hung LT, Siu RWH, Lee S, Lakhani I, Chan JSK, Bin Waleed K, Liu T, Jeevaratnam K, Zhang Q, Tse G. P-wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure. ESC Heart Fail 2023; 10:872-883. [PMID: 36461637 PMCID: PMC10053164 DOI: 10.1002/ehf2.14230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 08/22/2022] [Accepted: 10/31/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND P-wave indices have been used to predict incident atrial fibrillation (AF), stroke, and mortality. However, such indices derived from automated ECG measurements have not been explored for their predictive values in heart failure (HF). We investigated whether automated P-wave indices can predict adverse outcomes in HF. METHODS This study included consecutive Chinese patients admitted to a single tertiary centre, presenting with HF but without prior AF, and with at least one baseline ECG, between 1 January 2010 and 31 December 2016, with last follow-up of 31 December 2019. RESULTS A total of 2718 patients were included [median age: 77.4, interquartile range (IQR): (66.9-84.3) years; 47.9 males]. After a median follow-up of 4.8 years (IQR: 1.9-9.0 years), 1150 patients developed AF (8.8/year), 339 developed stroke (2.6/year), 563 developed cardiovascular mortality (4.3/year), and 1972 had all-cause mortality (15.1/year). Compared with 101-120 ms as a reference, maximum P-wave durations predicted new-onset AF at ≤90 ms [HR: 1.17(1.11, 1.50), P < 0.01], 131-140 ms [HR: 1.29(1.09, 1.54), P < 0.001], and ≥141 ms [HR: 1.52(1.32, 1.75), P < 0.001]. Similarly, they predicted cardiovascular mortality at ≤90 ms [HR: 1.50(1.08, 2.06), P < 0.001] or ≥141 ms [HR: 1.18(1.15, 1.45), P < 0.001], and all-cause mortality at ≤90 ms [HR: 1.26(1.04, 1.51), P < 0.001], 131-140 ms [HR: 1.15(1.01, 1.32), P < 0.01], and ≥141 ms [HR: 1.31(1.18, 1.46), P < 0.001]. These remained significant after adjusting for significant demographics, past co-morbidities, P-wave dispersion, and maximum P-wave amplitude. CONCLUSIONS Extreme values of maximum P-wave durations (≤90 ms and ≥141 ms) were significant predictors of new-onset AF, cardiovascular mortality, and all-cause mortality.
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Affiliation(s)
- Jiandong Zhou
- School of Data ScienceCity University of Hong KongHong KongChina
| | - Andrew Li
- Faculty of ScienceUniversity of CalgaryCalgaryCanada
| | | | - Matthew Chung Yan Lam
- Li Ka Shing Institute of Health Sciences, Shenzhen Research InstituteChinese University of Hong KongShenzhenChina
| | - Lok Tin Hung
- Li Ka Shing Institute of Health Sciences, Shenzhen Research InstituteChinese University of Hong KongShenzhenChina
| | - Ronald Wing Hei Siu
- Li Ka Shing Institute of Health Sciences, Shenzhen Research InstituteChinese University of Hong KongShenzhenChina
| | - Sharen Lee
- Heart Failure and Structural Heart Disease UnitCardiovascular Analytics Group, Hong Kong, China‐UK CollaborationHong KongChina
| | - Ishan Lakhani
- Heart Failure and Structural Heart Disease UnitCardiovascular Analytics Group, Hong Kong, China‐UK CollaborationHong KongChina
| | - Jeffrey Shi Kai Chan
- Heart Failure and Structural Heart Disease UnitCardiovascular Analytics Group, Hong Kong, China‐UK CollaborationHong KongChina
| | - Khalid Bin Waleed
- Department of CardiologySt George's Hospital NHS Foundation TrustLondonUK
| | - Tong Liu
- Tianjin Key Laboratory of Ionic‐Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of CardiologySecond Hospital of Tianjin Medical University300211TianjinChina
| | - Kamalan Jeevaratnam
- Faculty of Health and Medical SciencesUniversity of SurreyGU2 7ALGuildfordUK
| | - Qingpeng Zhang
- School of Data ScienceCity University of Hong KongHong KongChina
| | - Gary Tse
- Tianjin Key Laboratory of Ionic‐Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of CardiologySecond Hospital of Tianjin Medical University300211TianjinChina
- Faculty of Health and Medical SciencesUniversity of SurreyGU2 7ALGuildfordUK
- Kent and Medway Medical SchoolUniversity of Kent and Canterbury Christ Church UniversityCT2 7NTKentUK
- School of Nursing and Health StudiesHong Kong Metropolitan UniversityHong KongChina
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7
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Lee YHA, Hui JMH, Chan JSK, Liu K, Dee EC, Ng K, Tang P, Tse G, Ng CF. Metformin use and mortality in Asian, diabetic patients with prostate cancer on androgen deprivation therapy: A population-based study. Prostate 2023; 83:119-127. [PMID: 36178848 PMCID: PMC9742285 DOI: 10.1002/pros.24443] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/24/2022] [Accepted: 09/06/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND This study aims to examine the associations between metformin use concurrent with androgen deprivation therapy (ADT) and mortality risks in Asian, diabetic patients with prostate cancer (PCa). METHODS This study identified diabetic adults with PCa receiving any ADT attending public hospitals in Hong Kong between December 1999 and March 2021 retrospectively, with follow-up until September 2021. Patients with <6 months of medical castration without subsequent bilateral orchidectomy, <6 months of concurrent metformin use and ADT, or missing baseline HbA1c were excluded. Metformin users had ≥180 days of concurrent metformin use and ADT, while non-users had no concurrent metformin use and ADT or never used metformin. The primary outcome was PCa-related mortality. The secondary outcome was all-cause mortality. The study used inverse probability treatment weighting to balance covariates. RESULTS The analyzed cohort consisted of 1971 patients (1284 metformin users and 687 non-users; mean age 76.2 ± 7.8 years). Over a mean follow-up of 4.1 ± 3.2 years, metformin users had significantly lower risks of PCa-related mortality (weighted hazard ratio [wHR]: 0.49 [95% confidence interval, CI: 0.39-0.61], p < 0.001) and all-cause mortality (wHR 0.53 [0.46-0.61], p < 0.001), independent of diabetic control or status of chronic kidney disease. Such effects appeared stronger in patients with less advanced PCa, which is reflected by the absence of androgen receptor antagonist or chemotherapy use (p value for interaction: 0.017 for PCa-related mortality; 0.048 for all-cause mortality). CONCLUSIONS Metformin use concurrent with ADT was associated with lower risks of mortality in Asian, diabetic patients with PCa.
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Affiliation(s)
- Yan Hiu Athena Lee
- Diabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration
- Division of Urology, Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Jeremy Man Ho Hui
- Diabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration
| | - Jeffrey Shi Kai Chan
- Diabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration
| | - Kang Liu
- Division of Urology, Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Edward Christopher Dee
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenrick Ng
- Department of Medical Oncology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Pias Tang
- Diabetes Research Unit, Cardiovascular Analytics Group, Hong Kong, China-UK Collaboration
| | - Gary Tse
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
- Kent and Medway Medical School, Canterbury, Kent, CT2 7NT, United Kingdom
- Correspondence to: Gary Tse, MD PhD FRCP FFPH, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; Kent and Medway Medical School, Canterbury, Kent, CT2 7NT, United Kingdom. Tel: +852 5332 2823, Fax: +86-22-28261158, , Chi Fai Ng, MBChB MD FRCSEd FCSHK FRCSEd (Urol) FHKAM (Surgery), Division of Urology, Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China, Tel: +852 3505 2625, Fax: +852 2637 7974,
| | - Chi Fai Ng
- Division of Urology, Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- SH Ho Urology Centre, The Chinese University of Hong Kong, Hong Kong, China
- Correspondence to: Gary Tse, MD PhD FRCP FFPH, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; Kent and Medway Medical School, Canterbury, Kent, CT2 7NT, United Kingdom. Tel: +852 5332 2823, Fax: +86-22-28261158, , Chi Fai Ng, MBChB MD FRCSEd FCSHK FRCSEd (Urol) FHKAM (Surgery), Division of Urology, Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China, Tel: +852 3505 2625, Fax: +852 2637 7974,
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Chan JSK, Tang P, Hui JMH, Lee YHA, Dee EC, Ng K, Liu K, Tse G, Ng CF. Association between duration of gonadotrophin-releasing hormone agonist use and cardiovascular risks: A population-based competing-risk analysis. Prostate 2022; 82:1477-1480. [PMID: 35915869 PMCID: PMC9804360 DOI: 10.1002/pros.24423] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/07/2022] [Accepted: 07/20/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND Although androgen deprivation therapy has known cardiovascular risks, it is unclear if its duration is related to cardiovascular risks. This study thus aimed to investigate the associations between gonadotrophin-releasing hormone (GnRH) agonist use duration and cardiovascular risks. METHODS This retrospective cohort study included adult patients with prostate cancer receiving GnRH agonists in Hong Kong during 1999-2021. Patients who switched to GnRH antagonists, underwent bilateral orchidectomy, had <6 months of GnRH agonist, prior myocardial infarction (MI), or prior stroke was excluded. All patients were followed up until September 2021 for a composite endpoint of MI and stroke. Multivariable competing-risk regression using the Fine-Gray subdistribution model was used, with mortality from any cause as the competing event. RESULTS In total, 4038 patients were analyzed (median age 74.9 years old, interquartile range (IQR) 68.7-80.8 years old). Over a median follow-up of 4.1 years (IQR 2.1-7.5 years), longer GnRH agonists use was associated with higher risk of the endpoint (sub-hazard ratio per year 1.04 [1.01-1.06], p = 0.001), with those using GnRH agonists for ≥2 years having an estimated 23% increase in the sub-hazard of the endpoint (sub-hazard ratio 1.23 [1.04-1.46], p = 0.017). CONCLUSION Longer GnRH agonist use may be associated with greater cardiovascular risks.
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Affiliation(s)
- Jeffrey S. K. Chan
- Cardio‐Oncology Research Unit, Cardiovascular Analytics Group, Hong KongChina‐UK CollaborationHong KongChina
| | - Pias Tang
- Cardio‐Oncology Research Unit, Cardiovascular Analytics Group, Hong KongChina‐UK CollaborationHong KongChina
| | - Jeremy M. Ho Hui
- Cardio‐Oncology Research Unit, Cardiovascular Analytics Group, Hong KongChina‐UK CollaborationHong KongChina
| | - Yan H. A. Lee
- Cardio‐Oncology Research Unit, Cardiovascular Analytics Group, Hong KongChina‐UK CollaborationHong KongChina
- Division of Urology, Department of Surgery, Faculty of MedicineThe Chinese University of Hong KongHong KongChina
| | - Edward C. Dee
- Department of Radiation OncologyMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Kenrick Ng
- Department of Medical OncologyUniversity College London Hospitals NHS Foundation TrustLondonUK
| | - Kang Liu
- Division of Urology, Department of Surgery, Faculty of MedicineThe Chinese University of Hong KongHong KongChina
| | - Gary Tse
- Department of Cardiology, Tianjin Key Laboratory of Ionic‐Molecular Function of Cardiovascular Disease, Tianjin Institute of CardiologySecond Hospital of Tianjin Medical UniversityTianjinChina
- Kent and Medway Medical SchoolKentCanterburyUK
| | - Chi Fai Ng
- Division of Urology, Department of Surgery, Faculty of MedicineThe Chinese University of Hong KongHong KongChina
- SH Ho Urology CentreThe Chinese University of Hong KongHong KongChina
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Chan JSK, Satti DI, Lee YHA, Waleed KB, Tang P, Mahalwar G, Minhas AMK, Roever L, Biondi-Zoccai G, Leung FP, Wong WT, Liu T, Zhou J, Tse G. Association between visit-to-visit lipid variability and incident cancer: a population-based cohort study. Curr Probl Cardiol 2022; 48:101421. [PMID: 36167221 DOI: 10.1016/j.cpcardiol.2022.101421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 09/21/2022] [Indexed: 11/24/2022]
Abstract
Dyslipidaemia is associated with increased cancer risk. However, the prognostic value of visit-to-visit lipid variability (VVLV) is unexplored in this regard. To investigate the associations between VVLV and the risk of incident cancer, we conducted a retrospective cohort study on adult patients attending a family medicine clinic in Hong Kong during 2000-2003, excluding those with <3 tests for low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, and total cholesterol (TC) each, those with prior cancer diagnosis, and those with <1 year of follow-up. Visit-to-visit LDL-C, HDL-C, TC, and triglycerides variabilities were measured by the coefficient of variation (CV). Patients were followed up until 31st December 2019 for the primary outcome of incident cancer. Altogether, 69,186 patients were included (26,679 males (38.6%); mean age 60±13 years; mean follow-up 16±3 years); 7958 patients (11.5%) had incident cancer. Higher variability of LDL-C, HDL-C, TC, and TG was associated with higher risk of incident cancer. Patients in the third tercile of the CV of LDL-C (adjusted hazard ratio (aHR) against first tercile 1.06 [1.00, 1.12], p=0.049), HDL-C (aHR 1.37 [1.29, 1.44], p<0.001), TC (aHR 1.10 [1.04, 1.17], p=0.001), and TG (aHR 1.11 [1.06, 1.18], p<0.001) had the highest risks of incident cancer. Among these, only HDL-C variability remained associated with the risk of incident cancer in users of statins/fibrates. To conclude, higher VVLV was associated with significantly higher long-term risks of incident cancer. VVLV may be a clinically useful tool for cancer risk stratification.
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Affiliation(s)
- Jeffrey Shi Kai Chan
- Family Medicine Research Unit, Cardiovascular Analytics Group, United Kingdom - Hong Kong - China collaboration
| | - Danish Iltaf Satti
- Family Medicine Research Unit, Cardiovascular Analytics Group, United Kingdom - Hong Kong - China collaboration
| | - Yan Hiu Athena Lee
- Family Medicine Research Unit, Cardiovascular Analytics Group, United Kingdom - Hong Kong - China collaboration
| | - Khalid Bin Waleed
- Department of Cardiology, St George's University Hospital NHS Foundation Trust, London, United Kingdom
| | - Pias Tang
- Family Medicine Research Unit, Cardiovascular Analytics Group, United Kingdom - Hong Kong - China collaboration
| | - Gauranga Mahalwar
- Department of Internal Medicine, Cleveland Clinic Akron General, Akron, Ohio, United States of America
| | - Abdul Mannan Khan Minhas
- Department of Medicine, Forrest General Hospital, Hattiesburg, Mississippi, United States of America
| | - Leonardo Roever
- Departamento de Pesquisa Clinica, Universidade Federal de Uberlandia, Uberlandia, MG, Brazil
| | - Giuseppe Biondi-Zoccai
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy; Mediterranea Cardiocentro, Napoli, Italy
| | - Fung Ping Leung
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Wing Tak Wong
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Tong Liu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Jiandong Zhou
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
| | - Gary Tse
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; Kent and Medway Medical School, Canterbury, Kent, CT2 7NT, United Kingdom; pidemiology Research Unit, Cardiovascular Analytics Group, United Kingdom - Hong Kong - China collaboration.
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Harky A, Chan JSK, Satti DI, Soppa G. Accessing the mitral valve: single-chamber or double-chamber technique? EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY : OFFICIAL JOURNAL OF THE EUROPEAN ASSOCIATION FOR CARDIO-THORACIC SURGERY 2022; 62:6619560. [PMID: 35766838 DOI: 10.1093/ejcts/ezac368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 06/27/2022] [Indexed: 11/12/2022]
Affiliation(s)
- Amer Harky
- Department of Cardiothoracic Surgery, Liverpool Heart and Chest Hospital, Liverpool, UK
| | | | | | - Gopal Soppa
- Department of Cardiothoracic Surgery, Liverpool Heart and Chest Hospital, Liverpool, UK
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