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Li GHY, Tang CM, Wu SM, Cheung CL. Causal association of genetically determined caffeine intake from tea or coffee with bone health: a two-sample Mendelian randomization study. Postgrad Med J 2024:qgae051. [PMID: 38651568 DOI: 10.1093/postmj/qgae051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/24/2024] [Accepted: 03/22/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Relationship of caffeine intake and consumption of caffeinated beverages, such as tea and coffee, with bone health remains controversial. This study aimed to evaluate whether genetically determined caffeine intake from tea or coffee has causal effects on overall total body bone mineral density (TB-BMD) and fracture. We also assessed the association with TB-BMD in five age strata. METHODS Using two-sample Mendelian randomization approach, summary statistics were retrieved from genome-wide association studies (GWAS)/GWAS meta-analyses of caffeine intake from tea (n = 395 866)/coffee (n = 373 522), TB-BMD (n = 66 628), and fracture (n = 426 795). Inverse variance weighted method was adopted as the main univariable analysis. Multivariable analysis was conducted to evaluate whether the causal effect is independent. RESULTS In univariable analysis, genetically determined caffeine intake from tea had positive association with overall TB-BMD (per SD increase in genetically determined caffeine intake, beta of TB-BMD [in SD]: 0.166; 95% confidence interval (CI): 0.006-0.326) and inverse association with fracture (OR = 0.79; 95% CI: 0.654-0.954). Genetically determined caffeine intake from coffee was also positively associated with overall TB-BMD (beta = 0.231; 95% CI: 0.093-0.369). The association remained significant after adjustment for smoking in multivariable analysis. Genetically determined caffeine intake from tea or coffee was both positively associated with TB-BMD in the age strata of 45-60 years, but we lacked evidence of association in other strata. CONCLUSIONS Genetically, caffeine intake from tea or coffee may be beneficial to bone health. Due to the ascertainment method of caffeine intake from tea, our study also implied genetically higher tea consumption may improve TB-BMD and lower fracture risk.
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Affiliation(s)
- Gloria Hoi-Yee Li
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Lee Shau Kee Building, 11 Yuk Choi Road, Hung Hom, Hong Kong
| | - Ching-Man Tang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Lee Shau Kee Building, 11 Yuk Choi Road, Hung Hom, Hong Kong
| | - Suet-Man Wu
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Lee Shau Kee Building, 11 Yuk Choi Road, Hung Hom, Hong Kong
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong
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Zhang X, Cheung KS, Mak LY, Tan KCB, Kung AWC, Wong ICK, Cheung CL. Low Bone Mineral Density as a Risk Factor for Liver Cirrhosis: A Prospective Cohort Study. J Clin Endocrinol Metab 2024:dgae223. [PMID: 38574168 DOI: 10.1210/clinem/dgae223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/19/2024] [Accepted: 04/03/2024] [Indexed: 04/06/2024]
Abstract
CONTEXT Bone metabolism interplays with liver metabolism, also known as the liver-bone axis. Osteoporosis is a common complication of cirrhosis, but whether bone mineral density (BMD) can predict cirrhosis development is unknown. OBJECTIVE This study aims to investigate the relationship between BMD and the risk of incident cirrhosis in the Hong Kong Osteoporosis Study (HKOS). METHODS BMD was measured at the lumbar spine, femoral neck, total hip, and trochanter of 7,752 participants by the dual-energy X-ray absorptiometer (DXA), and the incidence of cirrhosis and mortality were followed by linking to the territory-wide electronic health records database. Cox proportional hazard models were used to estimate hazard ratios (HR) and 95% CI. RESULTS With a median follow-up of 18.43 years, 42 incident cirrhosis were identified. Higher BMD T-scores at the femoral neck, total hip and trochanter were significantly associated with a reduced risk of cirrhosis (femoral neck: HR 0.56, 95% CI 0.39 to 0.82; total hip: HR 0.60, 95% CI 0.44 to 0.82; trochanter: HR 0.63, 95% CI 0.46 to 0.88). Similar associations were observed in participants without risk factors of cirrhosis at the baseline and further adjusting for the baseline level of alkaline phosphatase, albumin, and alanine transaminase. Consistent relationships in multiple sensitivity analyses suggest the robustness of the results. CONCLUSION Low BMD could be a novel risk factor and early predictor for cirrhosis, with consistent associations observed in multiple sensitivity analyses.
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Affiliation(s)
- Xiaowen Zhang
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Ka-Shing Cheung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Lung-Yi Mak
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong
| | - Kathryn C B Tan
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Annie W C Kung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Ian Chi-Kei Wong
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong Special Administrative Region, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong Special Administrative Region, China
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Au PC, Lee AW, Lee VH, Wong IC, Hui RY, Cheung CL. The trends in lung cancer prevalence, incidence, and survival in Hong Kong over the past two decades (2002-2021): a population-based study. Lancet Reg Health West Pac 2024; 45:101030. [PMID: 38389934 PMCID: PMC10882113 DOI: 10.1016/j.lanwpc.2024.101030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/07/2024] [Accepted: 01/24/2024] [Indexed: 02/24/2024]
Abstract
Background Over the past decades, significant progress in lung cancer management has been made. However, the trends in prevalence and survival of lung cancer in the Chinese population over the last decade remain unexplored. This study utilised a territory-wide electronic medical database in Hong Kong to provide the most up-to-date and comprehensive analysis of the trends in prevalence, incidence, and survival over the past two decades. Methods Descriptive epidemiology study using a retrospective cohort of lung cancer patients from the Clinical Data Analysis and Reporting System (CDARS). 10-year limited-duration prevalence, incidence, and relative period survival were calculated between 2002 and 2021. Sub-groups of age, sex, and comorbidity were examined. The annual percent change (APC) and average annual percent change (AAPC) were estimated using joinpoint regression. Findings This study included 87,259 incident cases between 2002 and 2021. The 10-year limited duration prevalence (per 100,000 persons) of lung cancer increased from 153.4 to 228.7 (AAPC: 3.08%). Crude incidence (per 100,000 persons) increased from 55.0 to 70.3 (APC: 1.23%), while age-standardised incidence decreased from 42.9 to 33.2 (APC: -1.32%). The 1-year and 5-year relative period survivals showed an increasing trend but remained low. Disparity in trends was observed among different sex and age groups. Interpretation Lung cancer burden has been increasing partly due to population ageing. Although survival showed improvement over the years, it remained low, highlighting the potential need for interventions. Further study exploring the disparity in sex-specific trends is warranted. Funding The Innovation and Technology Commission, Hong Kong.
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Affiliation(s)
- Philip Cm Au
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L02-56, 2/F, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
| | - Anne Wm Lee
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Victor Hf Lee
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian Ck Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L02-56, 2/F, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
- Aston Pharmacy School, College of Health and Life Sciences, Aston University, Birmingham, UK
| | - Rina Ym Hui
- Centre of Cancer Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L02-56, 2/F, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China
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Lui DTW, Xiong X, Cheung CL, Lai FTT, Li X, Wan EYF, Chui CSL, Chan EWY, Cheng FWT, Li L, Chung MSH, Lee CH, Woo YC, Tan KCB, Wong CKH, Wong ICK. Risk of Incident Thyroid Dysfunction in the Post-Acute Phase of COVID-19: A Population-Based Cohort Study in Hong Kong. Endocr Pract 2024:S1530-891X(24)00472-5. [PMID: 38552902 DOI: 10.1016/j.eprac.2024.03.389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 03/21/2024] [Accepted: 03/25/2024] [Indexed: 04/29/2024]
Abstract
OBJECTIVE The evidence of thyroid dysfunction in the post-acute phase of SARS-CoV-2 infection is limited. This study aimed to evaluate the risk of incident thyroid dysfunction in the post-acute phase of COVID-19. METHODS This retrospective, propensity-score matched, population-based study included COVID-19 patients and non-COVID-19 individuals between January 2020 and March 2022, identified from the electronic medical records of the Hong Kong Hospital Authority. The cohort was followed up until the occurrence of outcomes, death, or 31 January 2023, whichever came first. Patients with COVID-19 were 1:1 matched to controls based on various variables. The primary outcome was a composite of thyroid dysfunction (hyperthyroidism, hypothyroidism, initiation of antithyroid drug or levothyroxine, and thyroiditis). Cox regression was employed to evaluate the risk of incident thyroid dysfunction during the post-acute phase. RESULTS A total of 84 034 COVID-19 survivors and 84 034 matched controls were identified. Upon a median follow-up of 303 days, there was no significant increase in the risk of diagnosed thyroid dysfunction in the post-acute phase of COVID-19 (hazard ratio [HR] 1.058, 95% confidence interval 0.979-1.144, P = .154). Regarding the secondary outcomes, patients with COVID-19 did not have increased risk of hyperthyroidism (HR 1.061, P = .345), hypothyroidism (HR 1.062, P = .255), initiation of antithyroid drug (HR 1.302, P = .070), initiation of levothyroxine (HR 1.086, P = .426), or thyroiditis (P = .252). Subgroup and sensitivity analyses were largely consistent with the main analyses. CONCLUSION Our population-based cohort study provided important reassuring data that COVID-19 was unlikely to be associated with persistent effects on thyroid function.
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Affiliation(s)
- David Tak Wai Lui
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xi Xiong
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China
| | - Francisco Tsz Tsun Lai
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xue Li
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China; School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Esther Wai Yin Chan
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China; The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
| | - Franco Wing Tak Cheng
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Lanlan Li
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Matthew Shing Hin Chung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Chi Ho Lee
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yu Cho Woo
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kathryn Choon Beng Tan
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Carlos King Ho Wong
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Infectious Disease Epidemiology & Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
| | - Ian Chi Kei Wong
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China; Aston Pharmacy School, Aston University, Birmingham, United Kingdom.
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5
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Lui DTW, Xiong X, Cheung CL, Lai FTT, Li X, Wan EYF, Chui CSL, Chan EWY, Cheng FWT, Chung MSH, Au ICH, Lee CH, Ip TP, Woo YC, Tan KCB, Wong CKH, Wong ICK. Risks of incident major osteoporotic fractures following SARS-CoV-2 infection among older individuals: a population-based cohort study in Hong Kong. J Bone Miner Res 2024:zjae041. [PMID: 38477768 DOI: 10.1093/jbmr/zjae041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/06/2024] [Accepted: 03/05/2024] [Indexed: 03/14/2024]
Abstract
Population-based epidemiological studies on post-acute phase COVID-19-related fractures in older adults are lacking. This study aims to examine the risk of incident major osteoporotic fractures following COVID-19 infection among individuals aged ≥50, compared to individuals without COVID-19. It was a retrospective, propensity-score matched, population-based cohort study of COVID-19 patients and non-COVID individuals identified from the electronic database of the Hong Kong Hospital Authority from January 2020 to March 2022. The primary outcome was a composite of major osteoporotic fractures (hip, clinical vertebral, and upper limb). COVID-19 patients were 1:1 matched to controls using propensity-score according to age, sex, vaccination status, medical comorbidities and baseline medications. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using Cox proportional hazards regression models. A total of 429 459 COVID-19 patients were included, 1:1 matched to non-COVID individuals. Upon median follow-up of 11 months, COVID-19 patients had higher risks of major osteoporotic fractures (5.08 vs 3.95 per 1000 persons; HR 1.22 95%CI [1.15-1.31]), hip fractures (2.71 vs 1.94; 1.33 [1.22-1.46]), clinical vertebral fractures (0.42 vs 0.31; 1.29 [1.03-1.62]) and falls (13.83 vs 10.36; 1.28 [1.23-1.33]). Subgroup analyses revealed no significant interaction. In acute (within 30 days) and post-acute phases (beyond 30 days) following SARS-CoV-2 infection, we consistently observed a significant increase in fractures and falls risks. Our study demonstrated increased risk of major osteoporotic fractures after SARS-CoV-2 infection in both acute and post-acute phases in older adults, partly due to increased fall risk. Clinicians should be aware of musculoskeletal health of COVID-19 survivors.
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Affiliation(s)
- David Tak Wai Lui
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xi Xiong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ching-Lung Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Xue Li
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
| | - Franco Wing Tak Cheng
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Matthew Shing Hin Chung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ivan Chi Ho Au
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Chi Ho Lee
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Tai Pang Ip
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yu Cho Woo
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kathryn Choon Beng Tan
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Infectious Disease Epidemiology & Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Aston Pharmacy School, Aston University, Birmingham, United Kingdom
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom
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6
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Lai FTT, Liu W, Hu Y, Wei C, Chu RYK, Lum DH, Leung JCN, Cheng FWT, Chui CSL, Li X, Wan EYF, Wong CKH, Cheung CL, Chan EWY, Hung IFN, Wong ICK. Elevated risk of multimorbidity post-COVID-19 infection: protective effect of vaccination. QJM 2024; 117:125-132. [PMID: 37824396 DOI: 10.1093/qjmed/hcad236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 10/05/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND It is unclear how the coronavirus disease 2019 (Covid-19) pandemic has affected multimorbidity incidence among those with one pre-existing chronic condition, as well as how vaccination could modify this association. AIM To examine the association of Covid-19 infection with multimorbidity incidence among people with one pre-existing chronic condition, including those with prior vaccination. DESIGN Nested case-control study. METHODS We conducted a territory-wide nested case-control study with incidence density sampling using Hong Kong electronic health records from public healthcare facilities and mandatory Covid-19 reports. People with one listed chronic condition (based on a list of 30) who developed multimorbidity during 1 January 2020-15 November 2022 were selected as case participants and randomly matched with up to 10 people of the same age, sex and with the same first chronic condition without having developed multimorbidity at that point. Conditional logistic regression was used to estimate adjusted odds ratios (aORs) of multimorbidity. RESULTS In total, 127 744 case participants were matched with 1 230 636 control participants. Adjusted analysis showed that there were 28%-increased odds of multimorbidity following Covid-19 [confidence interval (CI) 22% to 36%] but only 3% (non-significant) with prior full vaccination with BNT162b2 or CoronaVac (95% CI -2% to 7%). Similar associations were observed in men, women, older people aged 65 or more, and people aged 64 or younger. CONCLUSIONS We found a significantly elevated risk of multimorbidity following a Covid-19 episode among people with one pre-existing chronic condition. Full vaccination significantly reduced this risk increase.
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Affiliation(s)
- F T T Lai
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
| | - W Liu
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Y Hu
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - C Wei
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - R Y K Chu
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - D H Lum
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - J C N Leung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - F W T Cheng
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - C S L Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - X Li
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - E Y F Wan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
| | - C K H Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
| | - C L Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
| | - E W Y Chan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
| | - I F N Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - I C K Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
- Aston Pharmacy School, Aston University, Birmingham, England, UK
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Qin SX, Cheng FWT, Kwok WC, Fung LWY, Ma TT, Yiu HHE, Bloom C, McDonald CF, Cheung CL, Lai FTT, Chui CSL, Li X, Wong CKH, Wan EYF, Wong ICK, Chan EWY. Effectiveness and Respiratory Adverse Events Following Inactivated and mRNA COVID-19 Vaccines in Patients with COPD and Asthma: A Chinese Population-Based Study. Drug Saf 2024; 47:135-146. [PMID: 38085500 PMCID: PMC10821837 DOI: 10.1007/s40264-023-01364-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/09/2023] [Indexed: 01/28/2024]
Abstract
INTRODUCTION Effectiveness and respiratory adverse events following coronavirus disease-2019 (COVID-19) vaccines have not been well investigated in Chinese patients with chronic obstructive pulmonary disease (COPD) and asthma. METHODS Using electronic health care records in Hong Kong, we included adults with COPD or asthma or both and hospitalised for severe respiratory exacerbation in a self-controlled case series (SCCS) study between 23/02/2021 and 30/11/2022. Conditional Poisson regression models were used to estimate the incidence of outcomes within exposure periods (28 days after each dose) compared with baseline periods. Cox proportional hazard models evaluated vaccine effectiveness (VE) against COVID-related mortality, hospitalisation, and severe complications, including admission to intensive care units or ventilatory support. The VE assessment was based on vaccine types and the number of doses. RESULTS In the SCCS, 343 CoronaVac recipients and 212 BNT162b2 recipients were included. No increased risk of outcomes was observed within the exposure periods. In the cohort study, 108,423 and 83,323 patients received ≥ 2 doses of CoronaVac and BNT162b2, respectively. The VE (95% CI) against COVID-related mortality, hospitalisation, and severe complications after two-dose CoronaVac was 77% (74-80%), 18% (6-23%), and 29% (12-43%), respectively, while for the two-dose regimen of BNT162b2, it was 92% (91-94%), 33% (30-37%), and 57% (45-66%), respectively. Higher VE against COVID-related mortality, hospitalisation, and severe complications was found for the three-dose regimen of CoronaVac (94%, 40%, and 71%) and BNT162b2 (98%, 65%, and 83%). Administering a fourth dose of either vaccine showed additional reductions in COVID-related outcomes. CONCLUSIONS Among people with COPD and asthma, the COVID-19 vaccines CoronaVac and BNT162b2 did not increase severe exacerbations and achieved moderate-to-high effectiveness against COVID-related outcomes. COVID-19 vaccination remains essential and should be encouraged to protect this vulnerable population in future epidemic waves.
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Affiliation(s)
- Simon Xiwen Qin
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- School of Population and Global Health, The University of Western Australia, Perth, Australia
| | - Franco Wing Tak Cheng
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
| | - Wang Chun Kwok
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Lydia W Y Fung
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Tian Tian Ma
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Hei Hang Edmund Yiu
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
| | - Chloe Bloom
- Faculty of Medicine, National Heart and Lung Institute, Imperial College London, London, UK
| | - Christine F McDonald
- School of Medicine, University of Melbourne, Melbourne, Australia
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, VIC, Australia
| | - Ching-Lung Cheung
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Xue Li
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Carlos King Ho Wong
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.
- Aston Pharmacy School, Aston University, Birmingham, B4 7ET, UK.
| | - Esther Wai Yin Chan
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.
- , 02-08, 2/F Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China.
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Kim JH, Shen CY, Au PCM, Baek YH, Cheung CL, Chung WP, Kleinman NJ, Lam TC, Liao TC, Lin TC, Shin JY, Sing CW, Wong ICK, Lai ECC. Bone-targeting agents in major solid tumour metastases: a multinational cohort study. BMJ Support Palliat Care 2024; 13:e1064-e1073. [PMID: 35177433 DOI: 10.1136/bmjspcare-2021-003062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 01/18/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To describe the epidemiology, clinical characteristics and utilisation patterns of bone-targeting agents (BTAs) in patients with bone metastases from breast, prostate and lung cancer. METHODS This is a multinational retrospective cohort study including patients with three major solid tumours (breast, prostate and lung cancer) and newly initiated on BTAs (ie, denosumab, zoledronic acid and pamidronate). Records were retrieved from nationwide health databases from Hong Kong and Taiwan (HK and TW: 2013-2017) and Korea (KR: 2012-2016). Descriptive analyses included the annual incidence rates of bone metastases and the cumulative incidence curves of BTA initiation. We used Sankey diagrams to visualise the dynamic BTA utilisation patterns. RESULTS The annual incidence rate of bone metastases ranged from 3.5% to 4.5% in TW, from 9.6% to 10.3% in HK and from 2.9% to 3.8% in KR. We identified 14.1% (5127), 9.3% (883) and 9.4% (4800) of patients with bone metastases newly initiated on BTAs in TW, HK and KR, respectively. The most frequently used BTA in TW (67.1%) and HK (51.9%) was denosumab, while in KR (84.8%) it was zoledronic acid. Sankey diagrams indicated the proportion of patients remaining on denosumab was highest in TW and HK, while it was zoledronic acid in KR. Specifically, in TW, patients who were on bisphosphonates or had discontinued treatment frequently switched to or reinitiated denosumab. CONCLUSIONS We found the rate of BTA utilisation remained low across all sites and tumour types in recent years. The dynamic utilisation patterns of BTAs provide better understanding of the treatment landscape for future evaluation of associated outcomes of patients.
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Affiliation(s)
- Ju Hwan Kim
- School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea
| | - Chin-Yao Shen
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Philip Chun-Ming Au
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Yeon-Hee Baek
- School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Wei-Pang Chung
- Department of Oncology, National Cheng Kung University Hospital, Tainan, Taiwan
- Center of Applied Nanomedicine, National Cheng Kung University, Tainan, Taiwan
| | | | - Tai Chung Lam
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Tzu-Chi Liao
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Tzu-Chieh Lin
- Center for Observational Research, Amgen, Thousand Oaks, California, USA
| | - Ju-Young Shin
- School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea
- Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea
| | - Chor-Wing Sing
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Ian Chi Kei Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
| | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Pharmacy, National Cheng Kung University Hospital, Tainan, Taiwan
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Zhang X, Krishnamoorthy S, Tang CTL, Hsu WWQ, Li GHY, Sing CW, Tan KCB, Cheung BMY, Wong ICK, Kung AWC, Cheung CL. Association of Bone Mineral Density and Bone Turnover Markers with the Risk of Diabetes: Hong Kong Osteoporosis Study and Mendelian Randomization. J Bone Miner Res 2023; 38:1782-1790. [PMID: 37850799 DOI: 10.1002/jbmr.4924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/08/2023] [Accepted: 10/13/2023] [Indexed: 10/19/2023]
Abstract
Preclinical studies demonstrated that bone plays a central role in energy metabolism. However, how bone metabolism is related to the risk of diabetes in humans is unknown. We investigated the association of bone health (bone mineral density [BMD] and bone turnover markers) with incident type-2 diabetes mellitus (T2DM) based on the Hong Kong Osteoporosis Study (HKOS). A total of 993 and 7160 participants from the HKOS were studied for the cross-sectional and prospective analyses, respectively. The cross-sectional study evaluated the association of BMD and bone biomarkers with fasting glucose and glycated hemoglobin (HbA1c ) levels, whereas the prospective study examined the associations between BMD at study sites and the risk of T2DM by following subjects a median of 16.8 years. Body mass index (BMI) was adjusted in all full models. Mendelian randomization (MR) was conducted for causal inference. In the cross-sectional analysis, lower levels of circulating bone turnover markers and higher BMD were significantly associated with increased fasting glucose and HbA1c levels. In the prospective analysis, higher BMD (0.1 g/cm2 ) at the femoral neck and total hip was associated with increased risk of T2DM with hazard ratios (HRs) of 1.10 (95% confidence interval [CI], 1.03 to 1.18) and 1.14 (95% CI, 1.08 to 1.21), respectively. The presence of osteoporosis was associated with a 30% reduction in risk of T2DM compared to those with normal BMD (HR = 0.70; 95% CI, 0.55 to 0.90). The MR results indicate a robust genetic causal association of estimated BMD (eBMD) with 2-h glucose level after an oral glucose challenge test (estimate = 0.043; 95% CI, 0.007 to 0.079) and T2DM (odds ratio = 1.064; 95% CI, 1.036 to 1.093). Higher BMD and lower levels of circulating bone biomarkers were cross-sectionally associated with poor glycemic control. Moreover, higher BMD was associated with a higher risk of incident T2DM and the association is probably causal. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Xiaowen Zhang
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Suhas Krishnamoorthy
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Casey Tze-Lam Tang
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Warrington Wen-Qiang Hsu
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Gloria Hoi-Yee Li
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China
| | - Chor-Wing Sing
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Kathryn Choon-Beng Tan
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Bernard Man-Yung Cheung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ian Chi-Kei Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong, China
| | - Annie Wai-Chee Kung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong, China
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Ge GM, Man KKC, Cheung ECL, Ip P, Leung WC, Kung AWC, Cheung CL, Wong ICK. Levothyroxine Treatment Among Pregnant Women and Risk of Seizure in Children: A Population-Based Cohort Study. Drug Saf 2023; 46:1149-1159. [PMID: 37843760 DOI: 10.1007/s40264-023-01352-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/12/2023] [Indexed: 10/17/2023]
Abstract
INTRODUCTION AND OBJECTIVE The risk of seizure in offspring following prenatal exposure to levothyroxine is not well investigated. This study aimed to evaluate the association between levothyroxine treatment among pregnant women and the risk of seizure in their offspring. METHODS This population-based cohort study included all pregnant women who delivered a live birth between January 2001 to January 2018, with a follow-up to December 2020, using data from the Hong Kong Clinical Data Analysis and Reporting System. Propensity score fine-stratification weighted hazard ratios (wHR) with 95% confidence intervals (CIs) were presented to assess the association between maternal levothyroxine use during pregnancy and seizures in children. RESULTS Among 528,343 included mother-child pairs, 3044 children were prenatally exposed to levothyroxine at any time during the pregnancy period. A significantly increased risk of seizure was observed in children of the prenatally exposed group compared with the prenatally unexposed group (wHR 1.12, 95% CI 1.02-1.22). An increased risk of seizure was observed when comparing the prenatally exposed group with euthyroid mothers who had no history of thyroid-related diagnosis or prescriptions (wHR 1.12, 95% CI 1.02-1.23). However, no significant difference was observed between the prenatally exposed group and those previously exposed to levothyroxine but had stopped during pregnancy (wHR 0.97, 95% CI 0.66-1.44). No significant difference was observed in the sibling-matched analysis either (wHR 1.23, 95% CI 0.76-2.01). CONCLUSION The observed increased risk of seizure in children born from mothers exposed to levothyroxine during pregnancy might be due to residual confounding by maternal thyroid disease. The findings support the current guidelines on the safe use of levothyroxine treatment during pregnancy.
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Affiliation(s)
- Grace Mengqin Ge
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L02-57, 2/F, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong
| | - Kenneth K C Man
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L02-57, 2/F, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong
- Research Department of Practice and Policy, UCL, School of Pharmacy, London, UK
| | - Edmund C L Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L02-57, 2/F, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Wing Cheong Leung
- Department of Obstetrics and Gynecology, Kwong Wah Hospital, Yau Ma Tei, Hong Kong
| | - Annie W C Kung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Ching-Lung Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L02-57, 2/F, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong
| | - Ian C K Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L02-57, 2/F, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong.
- Research Department of Practice and Policy, UCL, School of Pharmacy, London, UK.
- Aston Pharmacy School, Aston University, Birmingham, B4 7ET, UK.
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Kwok WC, Tam TCC, Sing CW, Chan EWY, Cheung CL. Validation of diagnostic coding for bronchiectasis in an electronic health record system in Hong Kong. Pharmacoepidemiol Drug Saf 2023; 32:1077-1082. [PMID: 37169360 DOI: 10.1002/pds.5638] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 05/06/2023] [Accepted: 05/09/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND AND OBJECTIVE Electronic medical record (EMR) databases can facilitate epidemiology research in various diseases including bronchiectasis. Given the diagnostic challenges of bronchiectasis, the validity of the coding in EMR requires clarification. We aimed to assess the validity of International Classification of Diseases, 9th Revision (ICD-9) code algorithms for identifying bronchiectasis in the territory-wide electronic medical health record system of Clinical Data Analysis and Reporting System (CDARS) in Hong Kong. MATERIALS AND METHODS Adult patients who had the diagnosis of bronchiectasis input from Queen Mary Hospital in 2011-2020 were identified using the ICD-9 code of 494 by CDARS. All patients who had high resolution computed tomography (HRCT) were reviewed by respiratory specialists to confirm the presence of bronchiectasis on HRCT. RESULTS A total of 19 617 patients who had the diagnostic code of bronchiectasis among all public hospitals in Hong Kong and 1866 in Queen Mary Hospital in the same period. Six hundred and forty-eight cases were randomly selected and validated using medical record and HRCT review by a respiratory specialist. The overall positive predictive value (PPV) was 92.7% (95% CI 90.7-94.7). CONCLUSIONS This was the first ICD-9 coding validation for bronchiectasis in Hong Kong CDARS. Our study demonstrated that using ICD-9 code of 494 was reliable to support utility of CDARS database for further clinical research on bronchiectasis.
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Affiliation(s)
- Wang Chun Kwok
- Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong SAR, China
| | - Terence Chi Chun Tam
- Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong SAR, China
| | - Chor Wing Sing
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Esther Wai Yin Chan
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
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Stevelink R, Campbell C, Chen S, Abou-Khalil B, Adesoji OM, Afawi Z, Amadori E, Anderson A, Anderson J, Andrade DM, Annesi G, Auce P, Avbersek A, Bahlo M, Baker MD, Balagura G, Balestrini S, Barba C, Barboza K, Bartolomei F, Bast T, Baum L, Baumgartner T, Baykan B, Bebek N, Becker AJ, Becker F, Bennett CA, Berghuis B, Berkovic SF, Beydoun A, Bianchini C, Bisulli F, Blatt I, Bobbili DR, Borggraefe I, Bosselmann C, Braatz V, Bradfield JP, Brockmann K, Brody LC, Buono RJ, Busch RM, Caglayan H, Campbell E, Canafoglia L, Canavati C, Cascino GD, Castellotti B, Catarino CB, Cavalleri GL, Cerrato F, Chassoux F, Cherny SS, Cheung CL, Chinthapalli K, Chou IJ, Chung SK, Churchhouse C, Clark PO, Cole AJ, Compston A, Coppola A, Cosico M, Cossette P, Craig JJ, Cusick C, Daly MJ, Davis LK, de Haan GJ, Delanty N, Depondt C, Derambure P, Devinsky O, Di Vito L, Dlugos DJ, Doccini V, Doherty CP, El-Naggar H, Elger CE, Ellis CA, Eriksson JG, Faucon A, Feng YCA, Ferguson L, Ferraro TN, Ferri L, Feucht M, Fitzgerald M, Fonferko-Shadrach B, Fortunato F, Franceschetti S, Franke A, French JA, Freri E, Gagliardi M, Gambardella A, Geller EB, Giangregorio T, Gjerstad L, Glauser T, Goldberg E, Goldman A, Granata T, Greenberg DA, Guerrini R, Gupta N, Haas KF, Hakonarson H, Hallmann K, Hassanin E, Hegde M, Heinzen EL, Helbig I, Hengsbach C, Heyne HO, Hirose S, Hirsch E, Hjalgrim H, Howrigan DP, Hucks D, Hung PC, Iacomino M, Imbach LL, Inoue Y, Ishii A, Jamnadas-Khoda J, Jehi L, Johnson MR, Kälviäinen R, Kamatani Y, Kanaan M, Kanai M, Kantanen AM, Kara B, Kariuki SM, Kasperavičiūte D, Kasteleijn-Nolst Trenite D, Kato M, Kegele J, Kesim Y, Khoueiry-Zgheib N, King C, Kirsch HE, Klein KM, Kluger G, Knake S, Knowlton RC, Koeleman BPC, Korczyn AD, Koupparis A, Kousiappa I, Krause R, Krenn M, Krestel H, Krey I, Kunz WS, Kurki MI, Kurlemann G, Kuzniecky R, Kwan P, Labate A, Lacey A, Lal D, Landoulsi Z, Lau YL, Lauxmann S, Leech SL, Lehesjoki AE, Lemke JR, Lerche H, Lesca G, Leu C, Lewin N, Lewis-Smith D, Li GHY, Li QS, Licchetta L, Lin KL, Lindhout D, Linnankivi T, Lopes-Cendes I, Lowenstein DH, Lui CHT, Madia F, Magnusson S, Marson AG, May P, McGraw CM, Mei D, Mills JL, Minardi R, Mirza N, Møller RS, Molloy AM, Montomoli M, Mostacci B, Muccioli L, Muhle H, Müller-Schlüter K, Najm IM, Nasreddine W, Neale BM, Neubauer B, Newton CRJC, Nöthen MM, Nothnagel M, Nürnberg P, O’Brien TJ, Okada Y, Ólafsson E, Oliver KL, Özkara C, Palotie A, Pangilinan F, Papacostas SS, Parrini E, Pato CN, Pato MT, Pendziwiat M, Petrovski S, Pickrell WO, Pinsky R, Pippucci T, Poduri A, Pondrelli F, Powell RHW, Privitera M, Rademacher A, Radtke R, Ragona F, Rau S, Rees MI, Regan BM, Reif PS, Rhelms S, Riva A, Rosenow F, Ryvlin P, Saarela A, Sadleir LG, Sander JW, Sander T, Scala M, Scattergood T, Schachter SC, Schankin CJ, Scheffer IE, Schmitz B, Schoch S, Schubert-Bast S, Schulze-Bonhage A, Scudieri P, Sham P, Sheidley BR, Shih JJ, Sills GJ, Sisodiya SM, Smith MC, Smith PE, Sonsma ACM, Speed D, Sperling MR, Stefansson H, Stefansson K, Steinhoff BJ, Stephani U, Stewart WC, Stipa C, Striano P, Stroink H, Strzelczyk A, Surges R, Suzuki T, Tan KM, Taneja RS, Tanteles GA, Taubøll E, Thio LL, Thomas GN, Thomas RH, Timonen O, Tinuper P, Todaro M, Topaloğlu P, Tozzi R, Tsai MH, Tumiene B, Turkdogan D, Unnsteinsdóttir U, Utkus A, Vaidiswaran P, Valton L, van Baalen A, Vetro A, Vining EPG, Visscher F, von Brauchitsch S, von Wrede R, Wagner RG, Weber YG, Weckhuysen S, Weisenberg J, Weller M, Widdess-Walsh P, Wolff M, Wolking S, Wu D, Yamakawa K, Yang W, Yapıcı Z, Yücesan E, Zagaglia S, Zahnert F, Zara F, Zhou W, Zimprich F, Zsurka G, Zulfiqar Ali Q. GWAS meta-analysis of over 29,000 people with epilepsy identifies 26 risk loci and subtype-specific genetic architecture. Nat Genet 2023; 55:1471-1482. [PMID: 37653029 PMCID: PMC10484785 DOI: 10.1038/s41588-023-01485-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 07/21/2023] [Indexed: 09/02/2023]
Abstract
Epilepsy is a highly heritable disorder affecting over 50 million people worldwide, of which about one-third are resistant to current treatments. Here we report a multi-ancestry genome-wide association study including 29,944 cases, stratified into three broad categories and seven subtypes of epilepsy, and 52,538 controls. We identify 26 genome-wide significant loci, 19 of which are specific to genetic generalized epilepsy (GGE). We implicate 29 likely causal genes underlying these 26 loci. SNP-based heritability analyses show that common variants explain between 39.6% and 90% of genetic risk for GGE and its subtypes. Subtype analysis revealed markedly different genetic architectures between focal and generalized epilepsies. Gene-set analyses of GGE signals implicate synaptic processes in both excitatory and inhibitory neurons in the brain. Prioritized candidate genes overlap with monogenic epilepsy genes and with targets of current antiseizure medications. Finally, we leverage our results to identify alternate drugs with predicted efficacy if repurposed for epilepsy treatment.
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Cheung CL. Reply on "Identification of people with high risk of osteoporosis in Asia". Osteoporos Sarcopenia 2023; 9:113-114. [PMID: 37941534 PMCID: PMC10627865 DOI: 10.1016/j.afos.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 08/17/2023] [Accepted: 08/27/2023] [Indexed: 11/10/2023] Open
Affiliation(s)
- Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
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Krishnamoorthy S, Li GHY, Ho KSC, Chau YP, Mak C, Ng D, Chung AKK, Chu JKP, Tan KCB, Hoo RLC, Cheung CL. Illicit drug use is associated with lower bone mineral density and bone strength. Osteoporos Sarcopenia 2023; 9:88-93. [PMID: 37941531 PMCID: PMC10628013 DOI: 10.1016/j.afos.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 09/04/2023] [Accepted: 09/05/2023] [Indexed: 11/10/2023] Open
Abstract
Objectives To evaluate the association of illicit drug use with bone mineral density (BMD) and hip geometric parameters at the narrow neck. Methods This is a cross-sectional matched cohort study conducted in the Hong Kong Chinese population. Associations with illicit drug use were estimated using linear regression for BMD (lumbar spine and femoral neck) and hip geometrical parameters (cross-sectional area [CSA], cross-sectional moment of inertia [CSMI], section modulus [SM], average cortical thickness [ACT] and BMD at the narrow neck) after adjusting for age, body mass index (BMI), smoking status, drinking status, physical activity, and history of antipsychotic and antidepressant use. Mean difference and 95% confidence intervals (95% CI) were calculated between 108 illicit drug users and 108 controls using an adjusted linear model and cluster-robust standard errors after matching by age and sex. The false discovery rate was used to correct for multiple testing. Results Illicit drug users had a significantly lower BMD (g/cm2) at the lumbar spine (mean difference: -0.062; 95% CI: -0.108 to -0.015), and femoral neck (mean difference: -0.058; 95% CI: -0.106 to -0.010) in the fully adjusted model. Illicit drug users also had a significantly lower CSA (mean difference: -0.238 cm2; 95% CI: -0.462 to -0.013), ACT (mean difference: -0.018 cm; 95% CI: -0.030 to -0.006) and BMD (mean difference: -0.070 g/cm2; 95% CI: -0.128 to -0.012) at the narrow neck. Conclusions Illicit drug use is associated with lower BMD and bone strength. Future studies evaluating the risk of illicit drug use with fragility fracture are warranted.
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Affiliation(s)
- Suhas Krishnamoorthy
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Gloria Hoi-Yee Li
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Kelvin Shun-Cheong Ho
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Yin-Pan Chau
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Constance Mak
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Donna Ng
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Albert Kar-Kin Chung
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Jody Kwok-Pui Chu
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Kathryn Choon-Beng Tan
- The Department of Medcine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Ruby Lai-Chong Hoo
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong
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Abstract
Background A substantial proportion of individuals with COVID-19 experienced cognitive impairment after resolution of SARS-CoV-2 infection. We aimed to evaluate whether genetic liability to SARS-CoV-2 infection per se, or more severe COVID-19, is causally linked to cognitive deficit. Methods We firstly performed univariable Mendelian randomization (MR) analysis to examine whether genetic liability to SARS-CoV-2 infection, hospitalized and severe COVID-19 is causally associated with cognitive performance. To dissect the causal pathway, multivariable MR (MVMR) analysis was conducted by adjusting for five inflammatory markers [C-reactive protein, interleukin (IL)-1β, IL-6, IL-8, and tumour necrosis factor α, as proxies of systemic inflammation]. Results In univariable MR analysis, host genetic liability to SARS-CoV-2 infection was associated with lower cognitive performance [inverse variance weighted (IVW) analysis, estimate: -0.023; 95% Confidence Interval (CI): -0.038 to -0.009]. Such causal association was attenuated in MVMR analysis when we adjusted for the five correlated inflammatory markers in one analysis (IVW analysis, estimate: -0.022; 95% CI: -0.049 to 0.004). There was insufficient evidence of association for genetic liability to hospitalized and severe COVID-19 with cognitive performance. Conclusion The causal effect of host genetic liability to SARS-CoV-2 infection on reduced cognitive performance may be mediated by systemic inflammation. Future studies examining whether anti-inflammatory agents could alleviate cognitive impairment in SARS-CoV-2-infected individuals are warranted.
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Affiliation(s)
- Ching-Man Tang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China
| | - Gloria Hoi-Yee Li
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
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Sing CW, Lin TC, Bartholomew S, Bell JS, Bennett C, Beyene K, Bosco-Levy P, Bradbury BD, Chan AHY, Chandran M, Cooper C, de Ridder M, Doyon CY, Droz-Perroteau C, Ganesan G, Hartikainen S, Ilomaki J, Jeong HE, Kiel DP, Kubota K, Lai ECC, Lange JL, Lewiecki EM, Lin J, Liu J, Maskell J, de Abreu MM, O'Kelly J, Ooba N, Pedersen AB, Prats-Uribe A, Prieto-Alhambra D, Qin SX, Shin JY, Sørensen HT, Tan KB, Thomas T, Tolppanen AM, Verhamme KMC, Wang GHM, Watcharathanakij S, Wood SJ, Cheung CL, Wong ICK. Global Epidemiology of Hip Fractures: Secular Trends in Incidence Rate, Post-Fracture Treatment, and All-Cause Mortality. J Bone Miner Res 2023; 38:1064-1075. [PMID: 37118993 DOI: 10.1002/jbmr.4821] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/20/2023] [Accepted: 04/26/2023] [Indexed: 04/30/2023]
Abstract
In this international study, we examined the incidence of hip fractures, postfracture treatment, and all-cause mortality following hip fractures, based on demographics, geography, and calendar year. We used patient-level healthcare data from 19 countries and regions to identify patients aged 50 years and older hospitalized with a hip fracture from 2005 to 2018. The age- and sex-standardized incidence rates of hip fractures, post-hip fracture treatment (defined as the proportion of patients receiving anti-osteoporosis medication with various mechanisms of action [bisphosphonates, denosumab, raloxifene, strontium ranelate, or teriparatide] following a hip fracture), and the all-cause mortality rates after hip fractures were estimated using a standardized protocol and common data model. The number of hip fractures in 2050 was projected based on trends in the incidence and estimated future population demographics. In total, 4,115,046 hip fractures were identified from 20 databases. The reported age- and sex-standardized incidence rates of hip fractures ranged from 95.1 (95% confidence interval [CI] 94.8-95.4) in Brazil to 315.9 (95% CI 314.0-317.7) in Denmark per 100,000 population. Incidence rates decreased over the study period in most countries; however, the estimated total annual number of hip fractures nearly doubled from 2018 to 2050. Within 1 year following a hip fracture, post-hip fracture treatment ranged from 11.5% (95% CI 11.1% to 11.9%) in Germany to 50.3% (95% CI 50.0% to 50.7%) in the United Kingdom, and all-cause mortality rates ranged from 14.4% (95% CI 14.0% to 14.8%) in Singapore to 28.3% (95% CI 28.0% to 28.6%) in the United Kingdom. Males had lower use of anti-osteoporosis medication than females, higher rates of all-cause mortality, and a larger increase in the projected number of hip fractures by 2050. Substantial variations exist in the global epidemiology of hip fractures and postfracture outcomes. Our findings inform possible actions to reduce the projected public health burden of osteoporotic fractures among the aging population. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Chor-Wing Sing
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Tzu-Chieh Lin
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Sharon Bartholomew
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Canada
| | - J Simon Bell
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Corina Bennett
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Kebede Beyene
- Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy, St Louis, MO, USA
| | - Pauline Bosco-Levy
- Bordeaux PharmacoEpi, INSERM CIC-P1401, Univ. Bordeaux, Bordeaux, France
| | - Brian D Bradbury
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Amy Hai Yan Chan
- School of Pharmacy, The University of Auckland, Auckland, New Zealand
| | - Manju Chandran
- Osteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
| | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Maria de Ridder
- Department of Medical Informatics, Erasmus Medical Center, Rotterdam, Netherlands
| | - Caroline Y Doyon
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Canada
| | | | | | | | - Jenni Ilomaki
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Han Eol Jeong
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife and Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Jeff L Lange
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | | | - Julian Lin
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Jiannong Liu
- Chronic Disease Research Group, Hennepin Healthcare Research Institute, Minneapolis, MN, USA
| | - Joe Maskell
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Mirhelen Mendes de Abreu
- Rheumatology Service, Internal Medicine Department, School of Medicine, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - James O'Kelly
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Nobuhiro Ooba
- School of Pharmacy, The Nihon University, Chiba, Japan
| | - Alma B Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Albert Prats-Uribe
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Daniel Prieto-Alhambra
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Simon Xiwen Qin
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Ju-Young Shin
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Kelvin Bryan Tan
- School of Public Health, National University of Singapore, Singapore, Singapore
| | - Tracy Thomas
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA, USA
| | | | - Katia M C Verhamme
- Department of Medical Informatics, Erasmus Medical Center, Rotterdam, Netherlands
| | - Grace Hsin-Min Wang
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | | | - Stephen J Wood
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Ian C K Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
- Research Department of Practice and Policy, University College London School of Pharmacy, London, UK
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17
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Xiong X, Lui DTW, Chung MSH, Au ICH, Lai FTT, Wan EYF, Chui CSL, Li X, Cheng FWT, Cheung CL, Chan EWY, Lee CH, Woo YC, Tan KCB, Wong CKH, Wong ICK. Incidence of diabetes following COVID-19 vaccination and SARS-CoV-2 infection in Hong Kong: A population-based cohort study. PLoS Med 2023; 20:e1004274. [PMID: 37486927 PMCID: PMC10406181 DOI: 10.1371/journal.pmed.1004274] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 08/07/2023] [Accepted: 07/07/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND The risk of incident diabetes following Coronavirus Disease 2019 (COVID-19) vaccination remains to be elucidated. Also, it is unclear whether the risk of incident diabetes after Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection is modified by vaccination status or differs by SARS-CoV-2 variants. We evaluated the incidence of diabetes following mRNA (BNT162b2), inactivated (CoronaVac) COVID-19 vaccines, and after SARS-CoV-2 infection. METHODS AND FINDINGS In this population-based cohort study, individuals without known diabetes were identified from an electronic health database in Hong Kong. The first cohort included people who received ≥1 dose of COVID-19 vaccine and those who did not receive any COVID-19 vaccines up to September 2021. The second cohort consisted of confirmed COVID-19 patients and people who were never infected up to March 2022. Both cohorts were followed until August 15, 2022. A total of 325,715 COVID-19 vaccine recipients (CoronaVac: 167,337; BNT162b2: 158,378) and 145,199 COVID-19 patients were 1:1 matched to their respective controls using propensity score for various baseline characteristics. We also adjusted for previous SARS-CoV-2 infection when estimating the conditional probability of receiving vaccinations, and vaccination status when estimating the conditional probability of contracting SARS-CoV-2 infection. Hazard ratios (HRs) and 95% confidence intervals (CIs) for incident diabetes were estimated using Cox regression models. In the first cohort, we identified 5,760 and 4,411 diabetes cases after receiving CoronaVac and BNT162b2 vaccines, respectively. Upon a median follow-up of 384 to 386 days, there was no evidence of increased risks of incident diabetes following CoronaVac or BNT162b2 vaccination (CoronaVac: 9.08 versus 9.10 per 100,000 person-days, HR = 0.998 [95% CI 0.962 to 1.035]; BNT162b2: 7.41 versus 8.58, HR = 0.862 [0.828 to 0.897]), regardless of diabetes type. In the second cohort, we observed 2,109 cases of diabetes following SARS-CoV-2 infection. Upon a median follow-up of 164 days, SARS-CoV-2 infection was associated with significantly higher risk of incident diabetes (9.04 versus 7.38, HR = 1.225 [1.150 to 1.305])-mainly type 2 diabetes-regardless of predominant circulating variants, albeit lower with Omicron variants (p for interaction = 0.009). The number needed to harm at 6 months was 406 for 1 additional diabetes case. Subgroup analysis revealed no evidence of increased risk of incident diabetes among fully vaccinated COVID-19 survivors. Main limitations of our study included possible misclassification bias as type 1 diabetes was identified through diagnostic coding and possible residual confounders due to its observational nature. CONCLUSIONS There was no evidence of increased risks of incident diabetes following COVID-19 vaccination. The risk of incident diabetes increased following SARS-CoV-2 infection, mainly type 2 diabetes. The excess risk was lower, but still statistically significant, for Omicron variants. Fully vaccinated individuals might be protected from risks of incident diabetes following SARS-CoV-2 infection.
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Affiliation(s)
- Xi Xiong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - David Tak Wai Lui
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Matthew Shing Hin Chung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ivan Chi Ho Au
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Franco Wing Tak Cheng
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ching-Lung Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
| | - Chi Ho Lee
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yu Cho Woo
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kathryn Choon Beng Tan
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Aston Pharmacy School, Aston University, Birmingham, United Kingdom
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom
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Lai FTT, Fan M, Huang C, Chui CSL, Wan EYF, Li X, Wong CKH, Cheung CL, Wong ICK, Chan EWY. Effectiveness of BNT162b2 after extending the primary series dosing interval in children and adolescents aged 5-17. Nat Commun 2023; 14:1845. [PMID: 37012238 PMCID: PMC10068718 DOI: 10.1038/s41467-023-37556-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/21/2023] [Indexed: 04/05/2023] Open
Abstract
Extended intervals between the first and second doses of mRNA Covid-19 vaccines may reduce the risk of myocarditis in children and adolescents. However, vaccine effectiveness after this extension remains unclear. To examine this potential variable effectiveness, we conducted a population-based nested case-control study of children and adolescents aged 5-17 years who had received two doses of BNT162b2 in Hong Kong. From January 1 to August 15, 2022, 5396 Covid-19 cases and 202 Covid-19 related hospitalizations were identified and matched with 21,577 and 808 controls, respectively. For vaccine recipients with extended intervals [≥28 days, adjusted odds ratio 0.718, 95% Confidence Interval: 0.619, 0.833] there was a 29.2%-reduced risk of Covid-19 infection compared to those with regular intervals (21-27 days). If the threshold was set at eight weeks, the risk reduction was estimated at 43.5% (aOR 0.565, 95% CI: 0.456, 0.700). In conclusion, longer dosing intervals for children and adolescents should be considered.
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Affiliation(s)
- Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Shatin, Hong Kong
| | - Min Fan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Caige Huang
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Shatin, Hong Kong
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Shatin, Hong Kong
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Shatin, Hong Kong
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Shatin, Hong Kong
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong
| | - Ching-Lung Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Shatin, Hong Kong.
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Li GHY, Cheung CL, Tan KCB, Kung AWC, Kwok TCY, Lau WCY, Wong JSH, Hsu WW, Fang C, Wong ICK. Development and validation of sex-specific hip fracture prediction models using electronic health records: a retrospective, population-based cohort study. EClinicalMedicine 2023; 58:101876. [PMID: 36896245 PMCID: PMC9989633 DOI: 10.1016/j.eclinm.2023.101876] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND Hip fracture is associated with immobility, morbidity, mortality, and high medical cost. Due to limited availability of dual-energy X-ray absorptiometry (DXA), hip fracture prediction models without using bone mineral density (BMD) data are essential. We aimed to develop and validate 10-year sex-specific hip fracture prediction models using electronic health records (EHR) without BMD. METHODS In this retrospective, population-based cohort study, anonymized medical records were retrieved from the Clinical Data Analysis and Reporting System for public healthcare service users in Hong Kong aged ≥60 years as of 31 December 2005. A total of 161,051 individuals (91,926 female; 69,125 male) with complete follow-up from 1 January 2006 till the study end date on 31 December 2015 were included in the derivation cohort. The sex-stratified derivation cohort was randomly divided into 80% training and 20% internal testing datasets. An independent validation cohort comprised 3046 community-dwelling participants aged ≥60 years as of 31 December 2005 from the Hong Kong Osteoporosis Study, a prospective cohort which recruited participants between 1995 and 2010. With 395 potential predictors (age, diagnosis, and drug prescription records from EHR), 10-year sex-specific hip fracture prediction models were developed using stepwise selection by logistic regression (LR) and four machine learning (ML) algorithms (gradient boosting machine, random forest, eXtreme gradient boosting, and single-layer neural networks) in the training cohort. Model performance was evaluated in both internal and independent validation cohorts. FINDINGS In female, the LR model had the highest AUC (0.815; 95% Confidence Interval [CI]: 0.805-0.825) and adequate calibration in internal validation. Reclassification metrics showed the LR model had better discrimination and classification performance than the ML algorithms. Similar performance was attained by the LR model in independent validation, with high AUC (0.841; 95% CI: 0.807-0.87) comparable to other ML algorithms. In internal validation for male, LR model had high AUC (0.818; 95% CI: 0.801-0.834) and it outperformed all ML models as indicated by reclassification metrics, with adequate calibration. In independent validation, the LR model had high AUC (0.898; 95% CI: 0.857-0.939) comparable to ML algorithms. Reclassification metrics demonstrated that LR model had the best discrimination performance. INTERPRETATION Even without using BMD data, the 10-year hip fracture prediction models developed by conventional LR had better discrimination performance than the models developed by ML algorithms. Upon further validation in independent cohorts, the LR models could be integrated into the routine clinical workflow, aiding the identification of people at high risk for DXA scan. FUNDING Health and Medical Research Fund, Health Bureau, Hong Kong SAR Government (reference: 17181381).
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Affiliation(s)
- Gloria Hoi-Yee Li
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China
- Corresponding author. Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong.
| | - Kathryn Choon-Beng Tan
- Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Annie Wai-Chee Kung
- Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Timothy Chi-Yui Kwok
- Department of Medicine & Therapeutics and School of Public Health, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | - Janus Siu-Him Wong
- Department of Orthopaedics and Traumatology, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Warrington W.Q. Hsu
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China
| | - Christian Fang
- Department of Orthopaedics and Traumatology, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian Chi-Kei Wong
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China
- School of Pharmacy, University College London, London, UK
- Musketeers Foundation Institute of Data Science, The University of Hong, Hong Kong SAR, China
- Aston School of Pharmacy, Aston University, Birmingham B4 7ET, UK
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Gao L, Man KKC, Fan M, Ge GMQ, Lau WCY, Cheung CL, Coghill D, Ip P, Wong KHTW, Wong ICK. Treatment with methylphenidate and the risk of fractures among children and young people: a systematic review and self-controlled case series study. Br J Clin Pharmacol 2023. [PMID: 36918367 DOI: 10.1111/bcp.15714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 02/20/2023] [Accepted: 03/02/2023] [Indexed: 03/16/2023] Open
Abstract
INTRODUCTION Animal studies suggest that methylphenidate treatment for around 3 months may lead to less mineralized and weaker appendicular bones. A systematic review was conducted to summarize the evidence from observational studies, and a self-controlled case series study was used to compare the risk before and after treatment initiation. METHODS Literature search was conducted using PubMed, Embase, and the Cochrane Library to identify observational studies on methylphenidate and fractures. We also conducted a self-controlled case series study with individuals aged from 5-24 years who received methylphenidate treatment and experienced fractures from 2001-2020 in Hong Kong. Incidence rate ratios and 95% confidence intervals were calculated by comparing the incidence rate in the methylphenidate-exposed period compared to non-exposed period. RESULTS Six cohort studies and two case-control studies were included. For all-cause fractures, studies found a 39-74% lower risk in treated-ADHD group compared with untreated-ADHD, but no difference between stimulants and non-stimulants. Differences between sexes and treatment duration were also found - significant results were shown in males and those with longer treatment duration. Among 43,841 individuals with ADHD medication before year 2020, 2,203 were included in the self-controlled case series analysis. The risks of fractures were lower by 32-41% in the different treatment periods when compared with 6-month before treatment initiation. CONCLUSION In conclusion, methylphenidate treatment may lower the risk of all-cause fractures from both study designs, however, further evidence is needed about the treatment duration and sex effect. Conclusions on stress fractures are not yet established and further research is required.
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Affiliation(s)
- Le Gao
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - Kenneth K C Man
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China.,Research Department of Practice and Policy, UCL School of Pharmacy, London, United Kingdom.,Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science and Technology Parks, Hong Kong, Special Administrative Region, China
| | - Min Fan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - Grace M Q Ge
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - Wallis C Y Lau
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China.,Research Department of Practice and Policy, UCL School of Pharmacy, London, United Kingdom.,Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science and Technology Parks, Hong Kong, Special Administrative Region, China
| | - Ching-Lung Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - David Coghill
- Department of Paediatrics and Psychiatry, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.,Murdoch Children's Research Institute, Melbourne, Australia
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - Kirstie H T W Wong
- Research Department of Practice and Policy, UCL School of Pharmacy, London, United Kingdom.,Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - Ian C K Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China.,Research Department of Practice and Policy, UCL School of Pharmacy, London, United Kingdom.,Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science and Technology Parks, Hong Kong, Special Administrative Region, China.,Aston Pharmacy School, Aston University, Birmingham, B4 7ET, UK
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Cheung CL, Li GHY, Li HL, Mak C, Tan KCB, Kung AWC. Development and validation of the Chinese osteoporosis screening algorithm (COSA) in identification of people with high risk of osteoporosis. Osteoporos Sarcopenia 2023; 9:8-13. [PMID: 37082357 PMCID: PMC10111958 DOI: 10.1016/j.afos.2023.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/05/2023] [Accepted: 03/16/2023] [Indexed: 04/22/2023] Open
Abstract
Objectives To enhance the public awareness and facilitate diagnosis of osteoporosis, we aim to develop a new Chinese Osteoporosis Screening Algorithm (COSA) to identify people at high risk of osteoporosis. Methods A total of 4747 postmenopausal women and men aged ≥ 50 from the Hong Kong Osteoporosis Study were randomly split into a development (N = 2373) and an internal validation cohort (N = 2374). An external validation cohort comprising 1876 community-dwelling subjects was used to evaluate the positive predictive value (PPV). Results Among 11 predictors included, age, sex, weight, and history of fracture were significantly associated with osteoporosis after correction for multiple testing. Age- and sex-stratified models were developed due to the presence of significant sex and age interactions. The area under the curve of the COSA in the internal validation cohort was 0.761 (95% CI, 0.711-0.811), 0.822 (95% CI, 0.792-0.851), and 0.946 (95% CI, 0.908-0.984) for women aged < 65, women aged ≥ 65, and men, respectively. The COSA demonstrated improved reclassification performance when compared to Osteoporosis Self-Assessment Tool for Asians. In the external validation cohort, the PPV of COSA was 40.6%, 59.4%, and 19.4% for women aged < 65, women aged ≥ 65, and men, respectively. In addition, COSA > 0 was associated with an increased 10-year risk of hip fracture in women ≥ 65 (OR, 4.65; 95% CI, 2.24-9.65) and men (OR, 11.51; 95% CI, 4.16-31.81). Conclusions We have developed and validated a new osteoporosis screening algorithm, COSA, specific for Hong Kong Chinese.
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Affiliation(s)
- Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Corresponding author. Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong.
| | - Gloria HY. Li
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong
| | - Hang-Long Li
- Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong
| | - Constance Mak
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong
| | - Kathryn CB. Tan
- Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong
| | - Annie WC. Kung
- Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong
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Kwok WC, Tam TCC, Sing CW, Chan EWY, Cheung CL. Validation of Diagnostic Coding for Asthma in an Electronic Health Record System in Hong Kong. J Asthma Allergy 2023; 16:315-321. [PMID: 37006594 PMCID: PMC10065416 DOI: 10.2147/jaa.s405297] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 03/14/2023] [Indexed: 03/29/2023] Open
Abstract
Background Electronic health record (EHR) databases can facilitate epidemiology research into various diseases including asthma. Given the diagnostic challenges of asthma, the validity of the coding in EHR requires clarification. We aimed to assess the validity of International Classification of Diseases, 9th Revision (ICD-9) code algorithms for identifying asthma in the territory-wide electronic medical health record system of the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong. Methods Adult patients who had the diagnosis of asthma input from all public hospitals in Hong Kong and those from Queen Mary Hospital in 2011-2020 were identified using the ICD-9 code of 493 (493.0, 493.1, 493.2, and 493.9) by CDARS. Patients' clinical record and spirometry were reviewed by two respiratory specialists to confirm the presence of asthma in the randomly selected cases. Results There were 43,454 patients who had the diagnostic code of asthma among all public hospitals in Hong Kong and 1852 in Queen Mary Hospital in the same period. A total of 200 cases were randomly selected and validated using medical record and spirometry review by a respiratory specialist. The overall positive predictive value (PPV) was 85.0% (95% CI 80.1-89.9%). Conclusion This was the first ICD-9 code validation for CDARS (EHR) in Hong Kong on asthma. Our study demonstrated that using ICD-9 code (493.0, 493.1, 493.2 and 493.9) to identify asthma can result in a PPV that was reliable to support the utility of the CDARS database for further research on asthma among the Hong Kong population.
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Affiliation(s)
- Wang Chun Kwok
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Terence Chi Chun Tam
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Chor Wing Sing
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Esther Wai Yin Chan
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China
- Correspondence: Ching-Lung Cheung, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong Special Administrative Region, People’s Republic of China, Tel +852 3917 9024, Fax +852 2817 0859, Email
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Au PCM, Tan KCB, Lam DCL, Cheung BMY, Wong ICK, Kwok WC, Sing CW, Cheung CL. Association of Sodium-Glucose Cotransporter 2 Inhibitor vs Dipeptidyl Peptidase-4 Inhibitor Use With Risk of Incident Obstructive Airway Disease and Exacerbation Events Among Patients With Type 2 Diabetes in Hong Kong. JAMA Netw Open 2023; 6:e2251177. [PMID: 36648944 PMCID: PMC9857182 DOI: 10.1001/jamanetworkopen.2022.51177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
IMPORTANCE Patients with diabetes are at higher risk for obstructive airway disease (OAD). In recent meta-analyses of post hoc analyses of cardiorenal trials, sodium-glucose cotransporter 2 inhibitors (SGLT2Is) were suggested to reduce the risk of OAD adverse events. However, a clinical investigation of this association is warranted. OBJECTIVE This study aimed to investigate the association of SGLT2I use vs dipeptidyl peptidase-4 inhibitor (DPP4I) use with OAD incidence and exacerbation events in patients with type 2 diabetes. DESIGN, SETTING, AND PARTICIPANTS This retrospective population-based cohort study used electronic health data from a territory-wide electronic medical database in Hong Kong. Data were collected for patients with type 2 diabetes who were prescribed SGLT2Is or DPP4Is between January 1, 2015, and December 31, 2018. Patients were followed for a median of 2.2 years between January 1, 2015, and December 31, 2020. A prevalent new-user design was adopted to match patients based on previous exposure to the study drugs. Propensity score matching was used to balance baseline characteristics. EXPOSURES Patients with type 2 diabetes using SGLT2Is (exposure of interest) or DPP4Is (active comparator). MAIN OUTCOMES AND MEASURES The main outcomes were the first incidence of OAD and the count of OAD exacerbations. The risk of incident OAD was estimated using a Cox proportional hazards regression model. The rate of exacerbations was estimated using zero-inflated Poisson regression. Statistical analysis was performed on November 13, 2022. RESULTS This study included 30 385 patients. The propensity score-matched non-OAD cohort (incidence analysis) consisted of 5696 SGLT2I users and 22 784 DPP4I users, while the matched OAD cohort (exacerbations analysis) comprised 381 SGLT2I users and 1524 DPP4I users. At baseline, 56% of patients in the non-OAD cohort were men and the mean (SD) age was 61.2 (9.9) years; 51% of patients in the OAD cohort were men and the mean age was 62.2 (10.8) years. Compared with DPP4I use, SGLT2I use was associated with a lower risk of incident OAD (hazard ratio, 0.65 [95% CI, 0.54-0.79]; P < .001) and a lower rate of exacerbations (rate ratio, 0.54 [95% CI, 0.36-0.83]; P = .01). The associations were consistent in sex subgroup analysis. CONCLUSIONS AND RELEVANCE The findings of this retrospective cohort study of patients with type 2 diabetes in Hong Kong suggest that SGLT2I use was associated with a reduced risk of incident OAD and a lower rate of exacerbations in a clinical setting compared with DPP4I use. These findings further suggest that SGLT2Is may provide additional protective effects against OAD for patients with type 2 diabetes and that further investigation is warranted.
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Affiliation(s)
- Philip C. M. Au
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Kathryn C. B. Tan
- Department of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - David C. L. Lam
- Department of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Bernard M. Y. Cheung
- Department of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Ian C. K. Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health, Hong Kong Science Park, Pak Shek Kok, Hong Kong Special Administrative Region, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom
| | - Wang Chun Kwok
- Department of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Chor-Wing Sing
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health, Hong Kong Science Park, Pak Shek Kok, Hong Kong Special Administrative Region, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health, Hong Kong Science Park, Pak Shek Kok, Hong Kong Special Administrative Region, China
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Ho SC, Li GHY, Leung AYH, Tan KCB, Cheung CL. Unravelling genetic causality of haematopoiesis on bone metabolism in human. Eur J Endocrinol 2022; 187:765-775. [PMID: 36201175 DOI: 10.1530/eje-22-0526] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 10/04/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Haematopoiesis was shown to regulate bone metabolism in in vivo studies. However, whether haematopoiesis has causal effects on bone health has never been investigated in humans. We aimed to evaluate the causal relationships of blood traits with bone mineral density (BMD) and fracture. DESIGN AND METHODS Using two-sample Mendelian randomization, causal relationship of 29 blood traits with estimated BMD (eBMD), total body BMD (TBBMD), lumbar spine BMD (LSBMD), femoral neck BMD (FNBMD) and fracture were evaluated by inverse-variance weighted (IVW) method and multiple sensitivity analyses. Relevant genetic data were obtained from the largest possible publicly available genome-wide association studies. RESULTS Eight genetically determined red blood cell traits showed positive causal effects on eBMD, with beta estimates ranging from 0.009 (mean corpuscular haemoglobin) to 0.057 (haemoglobin concentration), while three white blood cell traits, including lymphocyte count (beta: -0.020; 95% CI: -0.033 to -0.007), neutrophil count (beta: -0.020; 95% CI: -0.035 to -0.006) and white blood cell count (beta: -0.027; 95% CI: -0.039 to -0.014), were inversely associated with eBMD. Causal effects for six of these blood traits were validated on TBBMD, LSBMD, FNBMD and/or fracture. The association of reticulocyte count (beta: 0.040; 95% CI: 0.016 to 0.063), haemoglobin (beta: 0.058; 95% CI: 0.021 to 0.094) and mean corpuscular haemoglobin concentration (beta: 0.030; 95% CI: 0.007 to 0.054) with eBMD remained significant in multivariable IVW analyses adjusted for other blood traits. CONCLUSION This study provided evidence that haematopoietic system might regulate the skeletal system in humans and suggested the possible pathophysiology of bone diseases among people with haematological diseases. SIGNIFICANCE STATEMENT We conducted a novel Mendelian randomization study investigating the causal relationship of blood cells with bone mineral density. Red and white blood cell traits have positive and inverse causal relationship with bone mineral density, respectively, suggesting a potential link of haematopoietic system with the skeletal system in humans. Current findings suggest individuals with related haematological diseases, such as anaemia and leukocytosis, may have a lifelong increased risk of osteoporosis and/or fracture. Given that complete blood count is commonly performed in clinical setting, whether complete blood count can be used to predict fracture risk warrants further investigation.
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Affiliation(s)
- Shun-Cheong Ho
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Gloria Hoi-Yee Li
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong
| | - Anskar Yu-Hung Leung
- Department of Medicine, Queen Mary Hospital, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Kathryn C B Tan
- Department of Medicine, Queen Mary Hospital, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Pak Shek Kok, Hong Kong
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Cheung CL. Treatment adherence and risk of vertebral fracture. Osteoporos Sarcopenia 2022; 8:165. [PMID: 36605169 PMCID: PMC9805933 DOI: 10.1016/j.afos.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 11/28/2022] [Indexed: 12/14/2022] Open
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Li HL, Tse YK, Chandramouli C, Hon NWL, Cheung CL, Lam LY, Wu M, Huang JY, Yu SY, Leung KL, Fei Y, Feng Q, Ren Q, Cheung BMY, Tse HF, Verma S, Lam CSP, Yiu KH. Sodium-Glucose Cotransporter 2 Inhibitors and the Risk of Pneumonia and Septic Shock. J Clin Endocrinol Metab 2022; 107:3442-3451. [PMID: 36181458 PMCID: PMC9693836 DOI: 10.1210/clinem/dgac558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Individuals with type 2 diabetes mellitus (DM) have an increased risk of pneumonia and septic shock. Traditional glucose-lowering drugs have recently been found to be associated with a higher risk of infections. It remains unclear whether sodium-glucose cotransporter 2 inhibitors (SGLT2is), which have pleiotropic/anti-inflammatory effects, may reduce the risk of pneumonia and septic shock in DM. METHODS MEDLINE, Embase, and ClinicalTrials.gov were searched from inception up to May 19, 2022, for randomized, placebo-controlled trials of SGLT2i that included patients with DM and reported outcomes of interest (pneumonia and/or septic shock). Study selection, data extraction, and quality assessment (using the Cochrane Risk of Bias Assessment Tool) were conducted by independent authors. A fixed-effects model was used to pool the relative risk (RRs) and 95% CI across trials. RESULTS Out of 4568 citations, 26 trials with a total of 59 264 patients (1.9% developed pneumonia and 0.2% developed septic shock) were included. Compared with placebo, SGLT2is significantly reduced the risk of pneumonia (pooled RR 0.87, 95% CI 0.78-0.98) and septic shock (pooled RR 0.65, 95% CI 0.44-0.95). There was no significant heterogeneity of effect size among trials. Subgroup analyses according to the type of SGLT2i used, baseline comorbidities, glycemic control, duration of DM, and trial follow-up showed consistent results without evidence of significant treatment-by-subgroup heterogeneity (all Pheterogeneity > .10). CONCLUSION Among DM patients, SGLT2is reduced the risk of pneumonia and septic shock compared with placebo. Our findings should be viewed as hypothesis generating, with concepts requiring validation in future studies.
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Affiliation(s)
- Hang-Long Li
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518053, China
- Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Yi-Kei Tse
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518053, China
- Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Chanchal Chandramouli
- National Heart Centre Singapore, Singapore 169609, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
| | - Nicole Wing-Lam Hon
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518053, China
- Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong 999077, China
| | - Lok-Yee Lam
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518053, China
- Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Meizhen Wu
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518053, China
- Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Jia-Yi Huang
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518053, China
- Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Si-Yeung Yu
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518053, China
- Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Ka-Lam Leung
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518053, China
- Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Yue Fei
- Division of Clinical Pharmacology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Qi Feng
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong 999077, China
| | - Qingwen Ren
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518053, China
- Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Bernard M Y Cheung
- Division of Clinical Pharmacology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Hung-Fat Tse
- Division of Cardiology, Department of Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518053, China
- Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong 999077, China
| | - Subodh Verma
- Division of Cardiac Surgery, St Michael's Hospital, University of Toronto, Toronto, ON M5B 1W8, Canada
| | - Carolyn S P Lam
- National Heart Centre Singapore, Singapore 169609, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- University Medical Center Groningen, Groningen 9713 GZ, The Netherlands
| | - Kai-Hang Yiu
- Correspondence: Kai-Hang Yiu, MD, Division of Cardiology, Department of Medicine, The University of Hong Kong, Room 1929B/K1931, Block K, Queen Mary Hospital, Hong Kong 999077, China.
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Ge GM, Cheung ECL, Man KKC, Ip P, Leung WC, Li GHY, Kung AWC, Cheung CL, Wong ICK. Association of maternal levothyroxine use during pregnancy with offspring birth and neurodevelopmental outcomes: a population-based cohort study. BMC Med 2022; 20:390. [PMID: 36344981 PMCID: PMC9641874 DOI: 10.1186/s12916-022-02586-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 09/27/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The influence of maternal levothyroxine treatment during pregnancy remains unclear. This study aimed to evaluate the associations of maternal levothyroxine treatment during pregnancy with the birth and neurodevelopmental outcomes in offspring. METHODS This population-based cohort study was conducted among pregnant women using the Hong Kong Clinical Data Analysis and Reporting System. Mother-child pairs in Hong Kong from 2001 to 2015 were included and children were followed up till 2020. We defined the exposure group as mothers who were exposed to levothyroxine during pregnancy. Preterm birth and small for gestational age (SGA) were included as birth outcomes. Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) were included as neurodevelopmental outcomes. Odds ratios (OR) or hazard ratios (HRs) with a 95% confidence interval (CI) were evaluated to assess the association of gestational levothyroxine use with offspring birth and neurodevelopmental outcomes respectively, using propensity score fine-stratification weighting and a Cox proportional hazards regression model. RESULTS Among 422,156 mother-child pairs, 2125 children were born from mothers exposed to levothyroxine during pregnancy. A significantly increased risk of preterm birth was observed in children with maternal levothyroxine exposure during pregnancy, when compared to mothers who had no history of thyroid-related diagnoses or prescriptions (weighted OR [wOR]: 1.22, 95% CI: 1.07, 1.39). Similarly, an increased risk of preterm birth was found among children of gestational levothyroxine users, when compared to children of mothers who had used levothyroxine before but stopped during pregnancy (wOR: 2.16, 95% CI: 1.09, 4.25). Sensitivity analysis, by excluding mothers exposed to psychotropic or antiepileptic medications before or during pregnancy, also indicated a similar increased risk of preterm birth regarding the gestational use of levothyroxine (wOR: 1.26, 95% CI: 1.10, 1.45). No significant association was observed for the risk of SGA, ADHD, and ASD. CONCLUSIONS There is no evidence that gestational use of levothyroxine is associated with SGA, ADHD, or ASD in offspring. Gestational levothyroxine treatment is associated with a higher risk of preterm birth. Such risk might be confounded by the underlying maternal thyroid disease itself, however, we cannot completely exclude the possible effect of gestational L-T4 treatment on offspring preterm birth. Our findings provided support to the current guidelines on the cautious use of levothyroxine treatment during pregnancy.
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Affiliation(s)
- Grace Mengqin Ge
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Edmund C L Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kenneth K C Man
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Research Department of Practice and Policy, UCL, School of Pharmacy, London, UK
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Wing Cheong Leung
- Department of Obstetrics and Gynecology, Kwong Wah Hospital, Hong Kong Special Administrative Region, China
| | - Gloria H Y Li
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Annie W C Kung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ching-Lung Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
| | - Ian C K Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China. .,Research Department of Practice and Policy, UCL, School of Pharmacy, London, UK. .,Aston Pharmacy School, Aston University, Birmingham, B4 7ET, UK.
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Abstract
Background: Thyroid dysfunction has been observed among some patients with coronavirus disease (COVID-19). It is unclear whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (or its severity) leads to the development of thyroid dysfunction, or vice versa. In this study, we examined the bi-directional causal relationship between host genetic liability to three COVID-19 phenotypes (including SARS-CoV-2 infection, hospitalized and severe COVID-19) and three thyroid dysfunction traits (including hyperthyroidism, hypothyroidism, and autoimmune thyroid disease [AITD]) and three continuous traits of thyroid hormones (including thyrotropin [TSH] and free thyroxine [fT4] within reference range, and TSH in full range). Methods: Summary statistics from the largest available meta-analyses of human genome-wide association studies were retrieved for the following variables: SARS-CoV-2 infection (n = 1,348,701), COVID-19 hospitalization (n = 1,557,411), severe COVID-19 (n = 1,059,456), hyperthyroidism (n = 51,823), hypothyroidism (n = 53,423), AITD (n = 755,406), TSH within reference range (n = 54,288), fT4 within reference range (n = 49,269), and TSH in full range (n = 119,715). Using a two-sample Mendelian randomization (MR) approach, the inverse-variance weighted (IVW) method was adopted as the main MR analysis. Weighted median, contamination mixture, MR-Egger, and MR pleiotropy residual sum and outlier (MR-PRESSO) methods were applied as sensitivity analyses. Results: Host genetic susceptibility to SARS-CoV-2 infection was causally associated with hypothyroidism in the main IVW analysis (per doubling in prevalence of SARS-CoV-2 infection, odds ratio [OR] = 1.335; 95% confidence interval [CI]: 1.167-1.526; p = 2.4 × 10-5, surpassing the Bonferroni multiple-testing threshold). Similar causal estimates were observed in the sensitivity analyses (weighted median: OR = 1.296; CI: 1.066-1.575; p = 9 × 10-3; contamination mixture: OR = 1.356; CI: 1.095-1.818; p = 0.013; MR-Egger: OR = 1.712; CI: 1.202-2.439; p = 2.92 × 10-3, and MR-PRESSO: OR = 1.335; CI: 1.156-1.542; p = 5.73 × 10-4). Host genetic liability to hospitalized or severe COVID-19 was not associated with thyroid dysfunction or thyroid hormone levels. In the reverse direction, there was no evidence to suggest that genetic predisposition to thyroid dysfunction or genetically determined thyroid hormone levels altered the risk of the COVID-19 outcomes. Conclusions: This bi-directional MR study supports that host response to SARS-CoV-2 viral infection plays a role in the causal association with increased risk of hypothyroidism. Long-term follow-up studies are needed to confirm the expected increased hypothyroidism risk.
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Affiliation(s)
- Gloria Hoi-Yee Li
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Ching-Man Tang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong
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Li GHY, Cheung CL. COVID-19 and Thyroid Function: A Bi-Directional Two-Sample Mendelian Randomization Study. VideoEndocrinology 2022. [DOI: 10.1089/ve.2022.0038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Gloria Hoi-Yee Li
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong
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Hsu WWQ, Zhang X, Sing CW, Li GHY, Tan KCB, Kung AWC, Wong JSH, Wong ICK, Cheung CL. Hip Fracture as a Predictive Marker for the Risk of Dementia: A Population-Based Cohort Study. J Am Med Dir Assoc 2022; 23:1720.e1-1720.e9. [PMID: 35988591 DOI: 10.1016/j.jamda.2022.07.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/11/2022] [Accepted: 07/14/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVES This study aimed to investigate the association between hip fracture and the risk of dementia. DESIGN A retrospective real-world propensity score-matched cohort study was conducted using the real-world hip fracture cohort (RHFC). SETTING AND PARTICIPANTS Electronic health record data from the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong were used. A total of 52,848 patients aged ≥65 years and with at least an event of fall from 2006 to 2015 were included in the RHFC. METHODS The incidence of fall, hip fracture, and dementia was determined using their International Classification of Diseases, Ninth Revision (ICD-9) codes. Competing risk regression models were used to estimate hazard ratios (HRs) and 95% CIs. RESULTS Hip fracture was associated with an increased risk of dementia (HR 1.09, 95% CI 1.04-1.15, P < .001). The subgroup analysis showed that association was significant in women but not in men. CONCLUSIONS AND IMPLICATIONS Hip fracture was associated with the increased risk of dementia among older adults. Further studies investigating the potential roles of hip fracture in the development of dementia could benefit the management of both conditions in older adults.
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Affiliation(s)
- Warrington W Q Hsu
- Department of Pharmacology and Pharmacy, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Xiaowen Zhang
- Department of Pharmacology and Pharmacy, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Chor-Wing Sing
- Department of Pharmacology and Pharmacy, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, China
| | - Gloria H Y Li
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Kathryn C B Tan
- Department of Medicine, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Annie W C Kung
- Department of Medicine, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Janus S H Wong
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Ian Chi-Kei Wong
- Department of Pharmacology and Pharmacy, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, China; Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, China.
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Chui CSL, Fan M, Wan EYF, Leung MTY, Cheung E, Yan VKC, Gao L, Ghebremichael-Weldeselassie Y, Man KK, Lau KK, Lam ICH, Lai FTT, Li X, Wong CKH, Chan EW, Cheung CL, Sing CW, Lee CK, Hung IFN, Lau CS, Chan JYS, Lee MKY, Mok VCT, Siu CW, Chan LST, Cheung T, Chan FLF, Leung AYH, Cowling BJ, Leung GM, Wong ICK. Thromboembolic events and hemorrhagic stroke after mRNA (BNT162b2) and inactivated (CoronaVac) covid-19 vaccination: A self-controlled case series study. EClinicalMedicine 2022; 50:101504. [PMID: 35770253 PMCID: PMC9233170 DOI: 10.1016/j.eclinm.2022.101504] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/19/2022] [Accepted: 05/24/2022] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND This study aims to evaluate the association between thromboembolic events and hemorrhagic stroke following BNT162b2 and CoronaVac vaccination. METHODS Patients with incident thromboembolic events or hemorrhagic stroke within 28 days of covid-19 vaccination or SARS-CoV-2 positive test during 23 February to 30 September 2021 were included. The incidence per 100,000 covid-19 vaccine doses administered and SARS-CoV-2 test positive cases were estimated. A modified self-controlled case series (SCCS) analysis using the data from the Hong Kong territory-wide electronic health and vaccination records. Seasonal effect was adjusted by month. FINDINGS A total of 5,526,547 doses of BNT162b2 and 3,146,741 doses of CoronaVac were administered. A total of 334 and 402 thromboembolic events, and 57 and 49 hemorrhagic stroke cases occurred within 28 days after BNT162b2 and CoronaVac vaccination, respectively. The crude incidence of thromboembolic events and hemorrhagic stroke per 100,000 doses administered for both covid-19 vaccines were smaller than that per 100,000 SARS-CoV-2 test positive cases. The modified SCCS detected an increased risk of hemorrhagic stroke in BNT162b2 14-27 days after first dose with adjusted IRR of 2.53 (95% CI 1.48-4.34), and 0-13 days after second dose with adjusted IRR 2.69 (95% CI 1.54-4.69). No statistically significant risk was observed for thromboembolic events for both vaccines. INTERPRETATION We detected a possible safety signal for hemorrhagic stroke following BNT162b2 vaccination. The incidence of thromboembolic event or hemorrhagic stroke following vaccination is lower than that among SARS-CoV-2 test positive cases; therefore, vaccination against covid-19 remains an important public health intervention. FUNDING This study was funded by a research grant from the Food and Health Bureau, The Government of the Hong Kong Special Administrative Region (reference COVID19F01).
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Affiliation(s)
- Celine Sze Ling Chui
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong, SAR, China
| | - Min Fan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Eric Yuk Fai Wan
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong, SAR, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Miriam Tim Yin Leung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Edmund Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Vincent Ka Chun Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Le Gao
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | | | - Kenneth K.C. Man
- Research Department of Practice and Policy, School of Pharmacy, University College London, United Kingdom
| | - Kui Kai Lau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Ivan Chun Hang Lam
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Francisco Tsz Tsun Lai
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong, SAR, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Xue Li
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong, SAR, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Carlos King Ho Wong
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong, SAR, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Esther W. Chan
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong, SAR, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ching-Lung Cheung
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong, SAR, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chor-Wing Sing
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Cheuk Kwong Lee
- Hong Kong Red Cross Blood Transfusion Service, Hospital Authority, Hong Kong, China
- Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, The Government of the Hong Kong Special Administrative Region, Hong Kong, SAR, China
| | - Ivan Fan Ngai Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
- Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, The Government of the Hong Kong Special Administrative Region, Hong Kong, SAR, China
| | - Chak Sing Lau
- Division of Rheumatology and Clinical Immunology, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Joseph Yat Sun Chan
- Division of Cardiology, Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, The Chinese University of Hong Kong, Hong Kong
| | - Michael Kang-Yin Lee
- Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, The Government of the Hong Kong Special Administrative Region, Hong Kong, SAR, China
- Queen Elizabeth Hospital, Hospital Authority, Hong Kong, China
| | - Vincent Chung Tong Mok
- Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, The Government of the Hong Kong Special Administrative Region, Hong Kong, SAR, China
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Chung-Wah Siu
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Lot Sze Tao Chan
- Department of Health, The Government of the Hong Kong Special Administrative Region, Hong Kong, SAR, China
| | - Terence Cheung
- Department of Health, The Government of the Hong Kong Special Administrative Region, Hong Kong, SAR, China
| | - Frank Ling Fung Chan
- Department of Health, The Government of the Hong Kong Special Administrative Region, Hong Kong, SAR, China
| | - Anskar Yu-Hung Leung
- Division of Hematology, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Benjamin John Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong, SAR, China
| | - Gabriel Matthew Leung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong, SAR, China
| | - Ian Chi Kei Wong
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong, SAR, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, United Kingdom
- Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, The Government of the Hong Kong Special Administrative Region, Hong Kong, SAR, China
- Corresponding author at: L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong
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Zhang X, Man KW, Li GHY, Tan KCB, Kung AWC, Cheung CL. Osteoporosis is a novel risk factor of infections and sepsis: A cohort study. EClinicalMedicine 2022; 49:101488. [PMID: 35747178 PMCID: PMC9189871 DOI: 10.1016/j.eclinm.2022.101488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 05/11/2022] [Accepted: 05/16/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Accumulating evidence suggests the interaction of bone metabolism and the immune system, but how bone health is associated with the risk of infections remains unknown. METHODS This study aimed to investigate the relationship of bone mineral density (BMD) with the risk of common infections and sepsis in Hong Kong Osteoporosis Study (HKOS). A prospective cohort study, initiated in 1995 and followed until 31 December 2020, of 5,717 participants examined the association of BMD at three skeletal sites (lumbar spine, femoral neck, and total hip) with common infections - pneumonia, urinary tract infection (UTI), skin infection, and sepsis. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI). FINDINGS During the median follow-up of 17 years, higher BMD T-scores at the femoral neck and total hip were significantly associated with the reduced risk of pneumonia (HRs 0.89 and 0.87; 95% CIs 0.82 to 0.98 and 0.81 to 0.95), UTI (HRs 0.85 and 0.86; 95% CIs 0.76 to 0.94 and 0.78 to 0.95), skin infection (HRs 0.85 and 0.82; 95% CIs 0.74 to 0.97 and 0.73 to 0.93), and sepsis (HRs 0.83 and 0.82; 95% CIs 0.71 to 0.97 and 0.72 to 0.94). A significant association was observed for the lumbar spine BMD T-score with the risk of skin infection (HR 0.86; 95% CI: 0.78 to 0.95) but not with other infections and sepsis. Similarly, participants with osteoporosis, but not osteopenia, were significantly associated with an increased risk of infections and sepsis compared to those with normal BMD. INTERPRETATION BMD is a novel risk factor of infections and sepsis. People with low BMD, particularly those with osteoporosis, are at higher risk of infections and sepsis than those with normal BMD. Further studies on whether improving bone health can reduce the risk of infections and sepsis are warranted. FUNDING None.
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Affiliation(s)
- Xiaowen Zhang
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong
| | - Kwong-Wai Man
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong
| | - Gloria Hoi-Yee Li
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University
| | - Kathryn CB Tan
- Department of Medicine, Queen Mary Hospital, LKS Faculty of Medicine, The University of Hong Kong
| | - Annie Wai-Chee Kung
- Department of Medicine, Queen Mary Hospital, LKS Faculty of Medicine, The University of Hong Kong
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong
- Corresponding Author, Ching-Lung Cheung, PhD, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, Tel: +852-3917-9462 Fax: +852-2816-2095.
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Li GHY, Cheung CL, Chung AKK, Cheung BMY, Wong ICK, Fok MLY, Au PCM, Sham PC. Evaluation of bi-directional causal association between depression and cardiovascular diseases: a Mendelian randomization study. Psychol Med 2022; 52:1765-1776. [PMID: 33032663 DOI: 10.1017/s0033291720003566] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Depression and cardiovascular disease (CVD) are associated with each other but their relationship remains unclear. We aim to determine whether genetic predisposition to depression are causally linked to CVD [including coronary artery disease (CAD), myocardial infarction (MI), stroke and atrial fibrillation (AF)]. METHODS Using summary statistics from the largest genome-wide association studies (GWAS) or GWAS meta-analysis of depression (primary analysis: n = 500 199), broad depression (help-seeking behavior for problems with nerves, anxiety, tension or depression; secondary analysis: n = 322 580), CAD (n = 184 305), MI (n = 171 875), stroke (n = 446 696) and AF (n = 1 030 836), genetic correlation was tested between two depression phenotypes and CVD [MI, stroke and AF (not CAD as its correlation was previously confirmed)]. Causality was inferred between correlated traits by Mendelian Randomization analyses. RESULTS Both depression phenotypes were genetically correlated with MI (depression: rG = 0.169; p = 9.03 × 10-9; broad depression: rG = 0.123; p = 1 × 10-4) and AF (depression: rG = 0.112; p = 7.80 × 10-6; broad depression: rG = 0.126; p = 3.62 × 10-6). Genetically doubling the odds of depression was causally associated with increased risk of CAD (OR = 1.099; 95% CI 1.031-1.170; p = 0.004) and MI (OR = 1.146; 95% CI 1.070-1.228; p = 1.05 × 10-4). Adjustment for blood lipid levels/smoking status attenuated the causality between depression and CAD/MI. Null causal association was observed for CVD on depression. A similar pattern of results was observed in the secondary analysis for broad depression. CONCLUSIONS Genetic predisposition to depression may have positive causal roles on CAD/MI. Genetic susceptibility to self-awareness of mood problems may be a strong causal risk factor of CAD/MI. Blood lipid levels and smoking may potentially mediate the causal pathway. Prevention and early diagnosis of depression are important in the management of CAD/MI.
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Affiliation(s)
- Gloria Hoi-Yee Li
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Albert Kar-Kin Chung
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Bernard Man-Yung Cheung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Ian Chi-Kei Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
| | - Marcella Lei Yee Fok
- Central and North West London NHS Foundation Trust, London, UK
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Philip Chun-Ming Au
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Pak-Chung Sham
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong
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Chiu PKL, Yau EFW, Cheung CL. Immunity-enhancing Micronutrients and Community Pharmacists: An Opportunity to Expand Self-Care Practices among the Public. Nat Prod Commun 2022. [DOI: 10.1177/1934578x221105688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background: The urban lifestyle and environment pose a constant immune challenge to city dwellers. A major such challenge is influenza, which creates substantial public health and socio-economic burdens. The global healthcare paradigm has begun emphasizing the importance and cost-effectiveness of self-care in partnership with healthcare professionals such as community pharmacists for the management of mild ailments. For the general public, micronutrient supplementation is an affordable and potentially feasible self-care strategy for immunity enhancement and disease management. At the same time, micronutrient deficiencies are a serious public health concern in both developing and developed areas. Objective: This review focuses on the clinical evidence for the efficacy and safety of three key micronutrients — vitamins C, D and zinc — on respiratory infections. Key findings: These micronutrients are important for optimal immune function through their complementary roles in supporting both innate and adaptive immunity, as well as epithelial barriers. The need to improve public awareness of self-care in prevention and health management is highlighted by recent public health issues and the global fight against antimicrobial resistance. Community pharmacists could play a crucial role in empowering patient autonomy. Conclusion: With this review we aim to offer insights into the supplementation of these micronutrients as a self-care approach to the management of immune health.
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Au PCM, Tan KCB, Cheung BMY, Wong ICK, Li HL, Cheung CL. Association Between SGLT2 Inhibitors vs DPP4 Inhibitors and Renal Outcomes Among Patients With Type 2 Diabetes. J Clin Endocrinol Metab 2022; 107:e2962-e2970. [PMID: 35303075 DOI: 10.1210/clinem/dgac164] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Indexed: 02/07/2023]
Abstract
CONTEXT Diabetic kidney disease is a major burden among diabetic patients. Sodium-glucose cotransporter 2 inhibitors (SGLT2is) were shown to reduce renal outcomes in clinical trials and real-world studies. However, head-to-head comparisons with individual classes of glucose-lowering agents warranted further investigation. OBJECTIVE This work aimed to investigate the associations between SGLT2is use vs dipeptidyl peptidase-4 inhibitors (DPP4is) use and 4 renal outcomes: end-stage renal disease (ESRD), albuminuria, acute renal failure (ARF), and the rate of estimated glomerular filtration rate (eGFR) change using a territory-wide electronic medical database in Hong Kong. METHODS For this retrospective cohort study, the "prevalent new-user" design was adopted to account for previous exposure to study drugs. Propensity score matching was used to balance baseline characteristics. Electronic health data of type 2 diabetes patients using SGLT2is and DPP4is between 2015 and 2018 were collected. RESULTS The matched cohort consisted of 6333 SGLT2is users and 25 332 DPP4is users, with a median follow-up of 3.8 years. Compared to DPP4is, SGLT2is use was associated with lower risks of ESRD (hazard ratio [HR]: 0.51; 95% CI, 0.42-0.62; P < .001) and ARF (HR: 0.59; 95% CI, 0.48-0.73; P < .001), and a slower decline in eGFR. The associations remained statistically significant among patients with or without rapid eGFR decline and patients who added or switched to SGLT2is from DPP4is. The association with albuminuria was inconsistent across analyses. CONCLUSION Compared to DPP4is, SGLT2is use was associated with reduced risks of ESRD and ARF, and a slower eGFR decline in a real-world setting. The associations remained statistically significant in patients with or without preindex rapid eGFR decline.
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Affiliation(s)
- Philip C M Au
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kathryn C B Tan
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Bernard M Y Cheung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian C K Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong
- Research Department of Practice and Policy, School of Pharmacy, University College London, London WC1N 1AX, UK
| | - Hang-Long Li
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong
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Chan MLY, Shiu SWM, Cheung CL, Yu-Hung Leung A, Tan KCB. Effects of statins on the inducible degrader of low-density lipoprotein receptor in familial hypercholesterolemia. Endocr Connect 2022; 11:EC-22-0019. [PMID: 35560019 PMCID: PMC9254294 DOI: 10.1530/ec-22-0019] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/13/2022] [Indexed: 11/27/2022]
Abstract
The inducible degrader of low-density lipoprotein receptor (IDOL) is an E3 ubiquitin ligase involved in the post-transcriptional regulation of LDL receptor (LDLR). Statins lower plasma LDL by activating transcription of hepatic LDLR expression, and we have determined whether statins modulate IDOL expression and influence LDLR protein abundance. IDOL expression in monocytes and serum IDOL level was determined in statin-treated familial hypercholesterolemia (FH) patients and compared with control subjects. Serum IDOL level was also evaluated in a group of untreated FH patients before and after the initiation of statin. The mechanism underlying the inhibitory effect of statin on IDOL expression was investigated in vitro. In statin-treated FH patients, serum IDOL level and its expression in monocytes was reduced compared with control (P < 0.05). In contrast, untreated FH patients had higher serum levels of IDOL and proprotein convertase subtilisin/kexintype 9 (PCSK9) than control (P < 0.05), and serum IDOL level decreased after statin therapy (P < 0.05) whereas an increase was observed in PCSK9 level (P < 0.01). In vitro, atorvastatin significantly decreased IDOL abundance in a dose-dependent manner in cultured macrophages and hepatocytes with a concomitant increase in LDLR expression. The transcription of IDOL was restored by adding either an LXR agonist T0901317 or oxysterol 22(R)-hydroxycholesterol, indicating that statin inhibited IDOL expression by reducing LXR activation. The LXR-IDOL-LDLR axis can be modulated by statins in vitro and in vivo. Statins inhibit IDOL expression by reducing LXR activation and upregulate LDLR, and statins exert the opposite effect on IDOL and PCSK9.
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Affiliation(s)
| | | | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong SAR
| | | | - Kathryn Choon-Beng Tan
- Department of Medicine, University of Hong Kong, Hong Kong SAR
- Correspondence should be addressed to K C-B Tan:
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Cheung CL, Ho SC, Krishnamoorthy S, Li GHY. COVID-19 and platelet traits: A bidirectional Mendelian randomization study. J Med Virol 2022; 94:4735-4743. [PMID: 35676178 PMCID: PMC9348324 DOI: 10.1002/jmv.27920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 05/20/2022] [Accepted: 05/31/2022] [Indexed: 01/08/2023]
Abstract
This study aimed to evaluate the host genetic liability of coronavirus disease 2019 (covid‐19) with platelet traits using the Mendelian randomization (MR) approach. We conducted a bidirectional two‐sample MR using summary statistics from the largest genome‐wide association study of three variables, covid‐19 severity (severe acute respiratory syndrome coronavirus 2 [SARS‐CoV‐2] infection, covid‐19 hospitalization, and severe covid‐19, N = ~1 059 456–1 557 411) and four platelet traits (mean platelet volume [MPV], plateletcrit, platelet distribution width, and platelet count; N = 408 112). Inverse‐variance weighted (IVW), median weighted, MR‐Egger, and contamination mixture methods were used to estimate the causal association. Null and inconsistent associations in the IVW and sensitivity analyses were observed for SARS‐CoV‐2 infection and covid‐19 hospitalization with platelet traits. For severe covid‐19, significant associations with MPV and platelet count were observed in the IVW and sensitivity analyses, with the betaIVW of 0.01 (95% confidence interval [CI]: 0.005–0.016, p = 3.51 × 10−4) and −0.009 (95% CI: −0.015 to −0.002, p = 0.008) per doubling in odds of severe covid‐19, respectively. Conversely, null associations were observed for platelet traits with covid‐19 traits. In conclusion, host genetic liability to severe covid‐19 was causally associated with increased MPV and reduced platelet count, which may provide insights into evaluating hypercoagulability and thromboembolic events in covid‐19 patients.
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Affiliation(s)
- Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong
| | - Shun-Cheong Ho
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Suhas Krishnamoorthy
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Gloria H-Y Li
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
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Li HL, Tromp J, Teramoto K, Tse YK, Yu SY, Lam LY, Li KY, Wu MZ, Ren QW, Wong PF, Cheung CL, To KKW, Tse HF, Lam CSP, Yiu KH. Temporal trends and patterns of infective endocarditis in a Chinese population: A territory-wide study in Hong Kong (2002–2019). The Lancet Regional Health - Western Pacific 2022; 22:100417. [PMID: 35257120 PMCID: PMC8897627 DOI: 10.1016/j.lanwpc.2022.100417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background The characteristics of infective endocarditis (IE) in Asians are poorly understood. Therefore, we aim to describe the epidemiological trends and clinical features of IE in Hong Kong. Methods All patients with incident IE from 2002–2019 in a territory-wide clinical database in Hong Kong were identified. We studied the age- and sex-adjusted and one-year mortality of IE between 2002 and 2019 and identified significant contributors to 1-year all-cause death using the attributable fraction. We used propensity score and inverse propensity of treatment weighting to study the association of surgery with mortality. Findings A total of 5139 patients (60.4 ± 18.2years, 37% women) were included. The overall incidence of IE was 4.9 per 100,000 person-year, which did not change over time (P = 0.17). Patients in 2019 were older and more comorbid than those in 2002. The one-year crude mortality rate was 30% in 2002, which did not change significantly over time (P = 0.10). Between 2002 and 2019, the rate of surgery increased and was associated with a 51% risk reduction in 1-year all-cause mortality (Hazard Ratio 0.49 [0.28–0.87], P = 0.015). Advanced age (attributable fraction 19%) and comorbidities (attributable fraction 15%) were significant contributors to death. Interpretation The incidence of IE in Hong Kong did not change between 2002 and 2019. Patients with IE in 2019 were older and had more comorbidities than those in 2002. Mortality of IE remains persistently high in Hong Kong. Together, these data can guide public health strategies to improve the outcomes of patients with IE. Funding This work was supported by Sanming Project of Medicine in Shenzhen, China [No. SZSM201911020] and HKU-SZH Fund for Shenzhen Key Medical Discipline [No. SZXK2020081].
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Au PCM, Tan KCB, Cheung BMY, Wong ICK, Wong Y, Cheung CL. Association Between SGLT2 Inhibitors vs DPP-4 Inhibitors and Risk of Pneumonia Among Patients With Type 2 Diabetes. J Clin Endocrinol Metab 2022; 107:e1719-e1726. [PMID: 34748021 DOI: 10.1210/clinem/dgab818] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Patients with diabetes are at a higher risk of pneumonia and pneumonia mortality. Sodium glucose co-transporter 2 inhibitors (SGLT2is), the latest class of glucose-lowering agents, were shown to reduce the risk of pneumonia in clinical trials. However, the real-world effectiveness of SGLT2is on the risk of pneumonia is largely unknown. OBJECTIVE To investigate the associations between SGLT2is use and the risk of pneumonia and pneumonia mortality compared with dipeptidyl peptidase-4 inhibitors (DPP4is) using an electronic medical database in Hong Kong. DESIGN A retrospective cohort study. The "prevalent new-user" design was adopted to account for the previous exposure to the study drugs being compared. Propensity score (PS) matching (1:4) was used to balance the baseline characteristics of the 2 groups. SETTING AND PARTICIPANTS Electronic health data of type 2 diabetes patients using SGLT2is and DPP4is between 2015 and 2018 was collected from the Clinical Data Analysis and Reporting System. MAIN OUTCOME MEASURES Pneumonia incidence and mortality. RESULTS The PS-matched cohort consisted of 6664 users of SGLT2is and 26 656 users of DPP4is, with a mean follow-up of 3.8 years. Poisson regression showed that SGLT2is use was associated with lower risk of pneumonia compared with DPP4is with an absolute rate difference of 4.05 per 1000 person-years (95% CI, 2.61-5.51). The corresponding incidence rate ratio was 0.71 (95% CI, 0.62-0.81). Similar reduction in risk of pneumonia death was observed (hazard ratio 0.57; 95% CI, 0.42-0.77). CONCLUSION Compared with DPP4is, SGLT2is use was associated with a reduced risk of pneumonia and pneumonia mortality in a real-world setting.
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Affiliation(s)
- Philip C M Au
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kathryn C B Tan
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Bernard M Y Cheung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian C K Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
| | - Ying Wong
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
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Tsoi MF, Li HL, Feng Q, Cheung CL, Cheung TT, Cheung BMY. Prevalence of Childhood Obesity in the United States in 1999-2018: A 20-Year Analysis. Obes Facts 2022; 15:560-569. [PMID: 35358970 PMCID: PMC9421675 DOI: 10.1159/000524261] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 03/17/2022] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Obesity is a public health crisis in the USA. This study aimed to estimate the prevalence of obesity and severe obesity in US children and adolescents and identify novel targetable risk factors associated with childhood obesity. METHODS From the US National Health and Nutrition Examination Survey from 1999 to 2018, 35,907 children aged 2-19 with body mass index (BMI) data were included. Obesity and severe obesity were defined as BMI ≥95th percentile and ≥120% of 95th percentile of US Centers for Disease Control and Prevention growth charts, respectively. Trends in the prevalence of obesity and subgroup analyses according to socioeconomic factors and language used in the interview were analyzed. RESULTS The prevalence of obesity and severe obesity increased from 14.7 [95% confidence interval: 12.9-17.0]% to 19.2 [17.2-21.0]% and 3.9 [2.9-5.0]% to 6.1 [4.8-8.0]% in 1999-2018, respectively (p = 0.001 and p = 0.014, respectively). In 2017-2018, the prevalence of obesity among children from Spanish-speaking households was 24.4 [22.4-27.0]%, higher than children from English-speaking households (p = 0.027). CONCLUSION The prevalence of childhood obesity kept increasing in 1999-2018. The problem is worse in children from Spanish-speaking households. Novel and targeted public health intervention strategies are urgently warranted to effectively halt the rising epidemic of childhood obesity.
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Affiliation(s)
- Man-Fung Tsoi
- Division of Clinical Pharmacology and Therapeutics, Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Hang-Long Li
- Division of Clinical Pharmacology and Therapeutics, Department of Medicine, The University of Hong Kong, Hong Kong, China,
| | - Qi Feng
- Division of Clinical Pharmacology and Therapeutics, Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, China
- Partner State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
| | - Tommy T Cheung
- Institute of Cardiovascular Science and Medicine, The University of Hong Kong, Hong Kong, China
| | - Bernard M Y Cheung
- Division of Clinical Pharmacology and Therapeutics, Department of Medicine, The University of Hong Kong, Hong Kong, China
- Partner State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
- Institute of Cardiovascular Science and Medicine, The University of Hong Kong, Hong Kong, China
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Lee CO, Li HL, Tsoi MF, Cheung CL, Cheung BMY. Association between the liver fat score (LFS) and cardiovascular diseases in the national health and nutrition examination survey 1999-2016. Ann Med 2021; 53:1065-1073. [PMID: 34184611 PMCID: PMC8245099 DOI: 10.1080/07853890.2021.1943514] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 06/09/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The liver fat score (LFS) has been proposed to be a simple non-invasive marker of non-alcoholic fatty liver disease (NAFLD), which is highly prevalent in the general population. We tested its association with cardiovascular diseases (CVDs) and prognosis. METHODS 17,244 adult participants from the National Health and Nutrition Examination Survey 1999-2016 were included. LFS is calculated from variables including serum aspartate transaminase/alanine transaminase (AST/ALT) ratio, fasting serum aspartate transaminase (AST) level, fasting serum insulin level, presence of metabolic syndrome and diabetes mellitus. In cross-sectional analysis, logistic regression was used to examine the association of the LFS with coronary heart disease (CHD), myocardial infarction (MI), congestive heart failure (CHF), stroke and angina pectoris. Mortality during follow-up was analysed using Cox proportional hazard regression. RESULTS LFS was associated with CHD (adjusted odds ratio [OR]: 1.09 per standard deviation [SD], 95% confidence interval [95% CI]: 1.03-1.15) (p = .003), CHF (1.11, 1.04-1.18) (p = .003) and angina pectoris (1.08, 1.02-1.13) (p = .005). LFS was not associated with MI or stroke, but was associated with increased all-cause and cardiovascular mortality with hazard ratios (HRs) of 1.10 (95% CI: 1.07-1.13) (p < .001) and 1.12 (95% CI: 1.06-1.17) (p < .001), respectively. CONCLUSIONS NAFLD is usually asymptomatic, but this large study of a large general population shows that LFS is associated with CHD, CHF, angina pectoris, cardiovascular and all-cause mortality. Determining the LFS is worthwhile, as it identifies people with NAFLD, who may also be at increased cardiovascular risk.Key MessagesLiver fat score (LFS), a non-invasive marker of non-alcoholic fatty liver disease (NAFLD), is associated with coronary heart disease (CHD), congestive heart failure (CHF) and angina.LFS is also associated with increased cardiovascular and all-cause mortality.Determining the LFS is worthwhile as it identifies people with NAFLD as well as increased cardiovascular risk.
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Affiliation(s)
- Chun-On Lee
- Department of Medicine, Division of Clinical Pharmacology and Therapeutics, The University of Hong Kong, Hong Kong, China
| | - Hang-Long Li
- Department of Medicine, Division of Clinical Pharmacology and Therapeutics, The University of Hong Kong, Hong Kong, China
| | - Man-Fung Tsoi
- Department of Medicine, Division of Clinical Pharmacology and Therapeutics, The University of Hong Kong, Hong Kong, China
| | - Ching-Lung Cheung
- Department of Medicine, Division of Clinical Pharmacology and Therapeutics, The University of Hong Kong, Hong Kong, China
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, China
| | - Bernard Man Yung Cheung
- Department of Medicine, Division of Clinical Pharmacology and Therapeutics, The University of Hong Kong, Hong Kong, China
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China
- Institute of Cardiovascular Science and Medicine, The University of Hong Kong, Hong Kong, China
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42
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Li GHY, Cheung CL, Cheung EYN, Chan WC, Tan KCB. Genetically Determined TSH Level Within Reference Range Is Inversely Associated With Alzheimer Disease. J Clin Endocrinol Metab 2021; 106:e5064-e5074. [PMID: 34272859 DOI: 10.1210/clinem/dgab527] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Contradictory findings were reported in observational studies on the association of thyroid function (thyrotropin [TSH] and free thyroxine [FT4] levels) with Alzheimer disease (AD). OBJECTIVE This work aims to determine whether genetically determined TSH/FT4 levels within reference range are causally associated with AD. METHODS A bidirectional, 2-sample mendelian randomization (MR) study was conducted. With summary statistics from the largest genome-wide association studies (GWAS)/GWAS meta-analysis of TSH level(n ≥ 54 288), FT4 level(n = 49 269), and AD (71 880 cases; 383 378 controls), we used an MR approach to evaluate the bidirectional causal relationship between TSH/FT4 levels and AD. The inverse-variance weighted method was adopted as the main analysis. RESULTS One SD increase in genetically determined TSH level within reference range was causally associated with a reduced risk of AD (odds ratio: 0.988; 95% CI, 0.977-0.998). A similar inverse association was observed in sex-specific analysis. The causal association was attenuated after adjustment for atrial fibrillation and blood pressure, suggesting they may mediate the causal pathway. A positive causal effect of AD on TSH level was detected only in male participants. This male-specific feedback loop may explain why the largest cohort study to date (Rotterdam Study) demonstrated a null observational association in men. Null association was observed between FT4 level and AD in both directions. CONCLUSION Genetic predisposition to increased TSH level, even within reference range, may lower the risk of AD, with atrial fibrillation, systolic, and diastolic blood pressure as possible mediators. Given the higher magnitude of risk reduction observed in the Rotterdam Study, whether the causal estimates derived from this MR study are underestimated warrants further investigation.
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Affiliation(s)
- Gloria Hoi-Yee Li
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong
| | - Elaine Yun-Ning Cheung
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Wai-Chi Chan
- Department of Psychiatry, The University of Hong Kong, Pokfulam, Hong Kong
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Hsu WWQ, Sing CW, Li GHY, Tan KCB, Cheung BMY, Wong JSH, Wong ICK, Cheung CL. Immediate Risk for Cardiovascular Events in Hip Fracture Patients: A Population-Based Cohort Study. J Gerontol A Biol Sci Med Sci 2021; 77:1923-1929. [PMID: 34748630 DOI: 10.1093/gerona/glab336] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Emerging evidence showed that bone metabolism and cardiovascular diseases (CVD) are closely related. We previously observed a potential immediate risk of cardiovascular mortality after hip fracture. However, whether there is an immediate risk of cardiovascular events after hip fracture is unclear. The aim of this study was to evaluate the risk for major adverse cardiovascular events (MACEs) between patients having experienced falls with and without hip fracture. METHODS This retrospective population-based cohort study used data from a centralized electronic health record database managed by Hong Kong Hospital Authority. Patients having experienced falls with and without hip fracture were matched by propensity score (PS) at a 1:1 ratio. Adjusted associations between hip fracture and risk of MACEs were evaluated using competing risk regression after accounting for competing risk of death. RESULTS Competing risk regression showed that hip fracture was associated with increased one-year risk of MACEs (hazard ratio [HR], 1.27; 95% CI, 1.21 to 1.33; p<0.001), with a 1-year cumulative incidence difference of 2.40% (1.94% to 2.87%). The HR was the highest in the first 90-day after hip fracture (HR of 1.32), and such an estimate was continuously reduced in 180-day, 270-day, and 1-year after hip fracture. CONCLUSIONS Hip fracture was associated with increased immediate risk of MACEs. This study suggested that a prompt evaluation of MACE among older adults aged 65 years and older who are diagnosed with hip fracture irrespectively of cardiovascular risk factors may be important, as early management may reduce subsequent risk of MACE.
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Affiliation(s)
- Warrington W Q Hsu
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong
| | - Chor-Wing Sing
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong
| | - Gloria H Y Li
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong
| | - Kathryn C B Tan
- Department of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Bernard M Y Cheung
- Department of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Janus S H Wong
- Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Ian Chi-Kei Wong
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong
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44
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Liang XP, Or CY, Tsoi MF, Cheung CL, Cheung BMY. Prevalence of metabolic syndrome in the United States National Health and Nutrition Examination Survey (nhanes) 2011–2018. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2420] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Metabolic syndrome (MetS) is a cluster of risk factors presaging the development of cardiovascular disease and diabetes. It is a risk factor for severe coronavirus disease 2019 (COVID-19).
Purpose
To estimate the prevalence of MetS in the US National Health and Nutrition Examination Survey (NHANES) 2011–2018.
Methods
This cohort study included 22370 eligible participants aged ≥20 years from the NHANES 2011–2018. MetS was defined as the presence of at least three of these components: central obesity, reduced high-density lipoprotein, elevated triglycerides, elevated blood pressure and elevated fasting blood glucose. The prevalence of MetS was estimated taking into account the complex sampling. The time trend was evaluated using logistic regression. Annual percentage changes (APC) were measured trend in MetS prevalence.
Results
The prevalence of MetS was 36.2% (95% CI, 32.3–40.3), 34.8% (95% CI, 32.3–37.4), 39.9% (95% CI, 36.6–43.2) and 38.3% (95% CI, 35.3–41.3) in 2011–2, 2013–4, 2015–6, 2017–8, respectively (P for trend = 0.08). Among the MetS components, the prevalence of elevated glucose increased from 48.7% (95% CI, 45.9–51.5) in 2011–2 to 64.3% (95% CI, 61.0–67.4) in 2017–8 [P for trend <0.001; APC=11.7, (95% CI, 3.5–21.0)]. The prevalence of MetS in non-Hispanic Asian increased from 21.8% (95% CI, 16.7–28.0) in 2011–2 to 31.2% (95% CI, 27.4–35.3) in 2017–8 [P for trend <0.001; APC=14.6, (95% CI, 2.5–34.8)].
Conclusions
The prevalence of MetS remained stable during 2011 to 2018. Lifestyle modification is needed, especially among non-Hispanic Asians to prevent the metabolic syndrome and the associated risks of diabetes and cardiovascular disease.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- X P Liang
- The University of Hong Kong, Division of Clinical Pharmacology and Therapeutics, Department of Medicine, Hong Kong, Hong Kong
| | - C Y Or
- The University of Hong Kong, Division of Clinical Pharmacology and Therapeutics, Department of Medicine, Hong Kong, Hong Kong
| | - M F Tsoi
- The University of Hong Kong, Division of Clinical Pharmacology and Therapeutics, Department of Medicine, Hong Kong, Hong Kong
| | - C L Cheung
- The University of Hong Kong, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Hong Kong, Hong Kong
| | - B M Y Cheung
- The University of Hong Kong, Division of Clinical Pharmacology and Therapeutics, Department of Medicine, Hong Kong, Hong Kong
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45
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Tang CTL, Sing CW, Kwok TCY, Li GHY, Cheung CL. Secular trends in fall-related hospitalizations in adolescents, youth and adults: a population-based study. Lancet Reg Health West Pac 2021; 12:100183. [PMID: 34527974 PMCID: PMC8356129 DOI: 10.1016/j.lanwpc.2021.100183] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/30/2021] [Accepted: 05/20/2021] [Indexed: 12/12/2022]
Abstract
Background Falls are one of the major causes of injury globally. However, there is a lack of population-based studies on falls among adolescents, young and middle-aged adults. We therefore aimed to conduct a large-scale population study on the secular trend in incidence of fall-related hospitalization. Methods A population-wide electronic database, Hong Kong's Clinical Data Analysis and Reporting System (CDARS), was used in this retrospective cohort study. Patients aged≥10, hospitalized with diagnosis of accidental falls (ICD-9-CM E880-E888) from 2005-2018, were included. Outcome measures included the number, age- and sex-standardized incidence rate of fall-related hospital admissions, their length of stay (LOS) and 1-year all-cause mortality. Linear regression and average annual percentage change (AAPC) using joinpoint regression were computed for trend analysis. Findings From 2005 to 2018, a total of 336,439 patients aged≥10 were identified with fall-related hospitalization. Among these fall patients, 33.7% occurred at age<60. The number of fall-related hospital admissions episodes increased significantly by 83.7% during the study period. The standardized incidence rate of falls per 1000 person-years increased from 3.67 (95% CI 3.62-3.72) in 2005 to 4.79 (95% CI 4.74-4.84) in 2018. Although the total hospitalized bed-days increased from 178,723 days in 2005, to 299,273 days in 2018 (+67.5%,p<.0001), the median length of stay per episode of falls decreased from 4.90 days to 3.79 days (p<.0001). Interpretation Continuous increase in the incidence of fall-related hospitalization in people aged≥10 was observed. This suggested that falls are a public health issue in all ages. Further studies on the differences in the underlying risk factors and comorbidities between younger and older fall patients are warranted. Funding None.
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Affiliation(s)
- Casey T L Tang
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chor-Wing Sing
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Timothy C Y Kwok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Gloria H Y Li
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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Sing CW, Lin TC, Bartholomew S, Bell JS, Bennett C, Beyene K, Bosco-Lévy P, Chan AHY, Chandran M, Cheung CL, Doyon CY, Droz-Perroteau C, Ganesan G, Hartikainen S, Ilomaki J, Jeong HE, Kiel DP, Kubota K, Lai ECC, Lange J, Lewiecki EM, Liu J, Man KKC, Mendes de Abreu M, Moore N, O'Kelly J, Ooba N, Pedersen AB, Prieto-Alhambra D, Shin JY, Sørensen HT, Tan KB, Tolppanen AM, Verhamme KMC, Wang GHM, Watcharathanakij S, Zhao H, Wong ICK. Global epidemiology of hip fractures: a study protocol using a common analytical platform among multiple countries. BMJ Open 2021; 11:e047258. [PMID: 34321298 PMCID: PMC8319985 DOI: 10.1136/bmjopen-2020-047258] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
INTRODUCTION Hip fractures are associated with a high burden of morbidity and mortality. Globally, there is wide variation in the incidence of hip fracture in people aged 50 years and older. Longitudinal and cross-geographical comparisons of health data can provide insights on aetiology, risk factors, and healthcare practices. However, systematic reviews of studies that use different methods and study periods do not permit direct comparison across geographical regions. Thus, the objective of this study is to investigate global secular trends in hip fracture incidence, mortality and use of postfracture pharmacological treatment across Asia, Oceania, North and South America, and Western and Northern Europe using a unified methodology applied to health records. METHODS AND ANALYSIS This retrospective cohort study will use a common protocol and an analytical common data model approach to examine incidence of hip fracture across population-based databases in different geographical regions and healthcare settings. The study period will be from 2005 to 2018 subject to data availability in study sites. Patients aged 50 years and older and hospitalised due to hip fracture during the study period will be included. The primary outcome will be expressed as the annual incidence of hip fracture. Secondary outcomes will be the pharmacological treatment rate and mortality within 12 months following initial hip fracture by year. For the primary outcome, crude and standardised incidence of hip fracture will be reported. Linear regression will be used to test for time trends in the annual incidence. For secondary outcomes, the crude mortality and standardised mortality incidence will be reported. ETHICS AND DISSEMINATION Each participating site will follow the relevant local ethics and regulatory frameworks for study approval. The results of the study will be submitted for peer-reviewed scientific publications and presented at scientific conferences.
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Affiliation(s)
- Chor-Wing Sing
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Tzu-Chieh Lin
- Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA
| | - Sharon Bartholomew
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - J Simon Bell
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Victoria, Australia
| | - Corina Bennett
- Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA
| | - Kebede Beyene
- School of Pharmacy, The University of Auckland, Auckland, New Zealand
| | | | - Amy Hai Yan Chan
- School of Pharmacy, The University of Auckland, Auckland, New Zealand
| | - Manju Chandran
- Osteoporosis and Bone Metabolism Unit, Department of Endocrinology, Singapore General Hospital, Singapore
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Caroline Y Doyon
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ontario, Canada
| | | | | | | | - Jenni Ilomaki
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Victoria, Australia
| | - Han Eol Jeong
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife and Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, National Cheng Kung University, Tainan, Taiwan
| | - Jeff Lange
- Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA
| | - E Michael Lewiecki
- University of New Mexico School of Medicine, Albuquerque, New Mexico, USA
| | - Jiannong Liu
- Chronic Disease Research Group, Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA
| | - Kenneth K C Man
- Research Department of Practice and Policy, University College London School of Pharmacy, London, UK
- Centre for Medicines Optimisation Research and Education (CMORE), University College London Hospital, London, UK
| | - Mirhelen Mendes de Abreu
- Rheumatology Service, Internal Medicine Department, School of Medicine, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Nicolas Moore
- Bordeaux PharmacoEpi, University of Bordeaux, Bordeaux, France
| | - James O'Kelly
- Center for Observational Research, Amgen Inc, Thousand Oaks, California, USA
| | - Nobuhiro Ooba
- School of Pharmacy, The Nihon University, Chiba, Japan
| | - Alma B Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus University, Aarhus, Denmark
| | - Daniel Prieto-Alhambra
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, Oxfordshire, UK
| | - Ju-Young Shin
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus University, Aarhus, Denmark
| | - Kelvin Bryan Tan
- Ministry of Health Singapore, Singapore
- School of Public Health, National University of Singapore, Singapore
| | | | - Katia M C Verhamme
- Department of Medical Informatics, Erasmus Medical Center, Rotterdam, Netherlands
| | - Grace Hsin-Min Wang
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, National Cheng Kung University, Tainan, Taiwan
| | - Sawaeng Watcharathanakij
- Faculty of Pharmaceutical Sciences, Ubon Ratchathani University, Mueang Si Khai, Ubon Ratchathani, Thailand
| | - Hongxin Zhao
- Shanghai Synyi Medical Technology Co Ltd, Shanghai, China
| | - Ian C K Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong SAR
- Research Department of Practice and Policy, University College London School of Pharmacy, London, UK
- Centre for Medicines Optimisation Research and Education (CMORE), University College London Hospital, London, UK
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Kwok TCY, Law SW, Leung EMF, Choy DTK, Lam PMS, Leung JCS, Wong SH, Ip TP, Cheung CL. Hip fractures are preventable: a proposal for osteoporosis screening and fall prevention in older people. Hong Kong Med J 2021; 26:227-235. [PMID: 32554817 DOI: 10.12809/hkmj198337] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Osteoporosis is highly prevalent but underdiagnosed and undertreated in Hong Kong. Fragility fractures associated with osteoporosis often result in loss of independence and increased mortality for home-dwelling patients, imposing a high socio-economic burden on society. This issue requires urgent attention given the rapid growth of the elderly population in Hong Kong by approximately 4.3% each year. To address this situation, a group of experts convened to discuss practical ways to reduce the burden of fractures and formulated three recommendations: first, all men (aged ≥70 years) and women (aged ≥65 years) should receive universal dual-energy X-ray absorptiometry assessment for osteoporosis. Second, all men (aged ≥70 years) and women (aged ≥65 years) with a fracture-risk assessment-derived 10-year risk (hip fracture with bone mineral density) ≥3% should receive ≥3 years of anti-osteoporotic treatment. Third, comprehensive structured assessment (including dual-energy X-ray absorptiometry) should be conducted in older patients with a history of falling. By implementing these recommendations, we estimate that we could prevent 5234 hip fractures in 10 years, an annual incidence reduction of approximately 7%, and save HK$425 million in direct medical costs plus substantial indirect savings. Ample clinical and cost-effectiveness data support these recommendations, and studies in Hong Kong and abroad could serve as models on how to implement them. We are confident that by applying these recommendations rigorously and systematically, a significant reduction in hip fractures in Hong Kong is achievable.
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Affiliation(s)
- T C Y Kwok
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong.,Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong.,Hong Kong Osteoporosis Foundation
| | - S W Law
- Hong Kong Osteoporosis Foundation.,Department of Orthopaedics and Traumatology, Alice Ho Miu Ling Nethersole Hospital, Hong Kong
| | - E M F Leung
- Hong Kong Osteoporosis Foundation.,Hong Kong Association of Gerontology
| | - D T K Choy
- Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong.,Hong Kong Osteoporosis Foundation
| | - P M S Lam
- Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong
| | - J C S Leung
- Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong
| | - S H Wong
- The Osteoporosis Society of Hong Kong
| | - T P Ip
- The Osteoporosis Society of Hong Kong.,Department of Medicine, Tung Wah Hospital, Hong Kong
| | - C L Cheung
- The Osteoporosis Society of Hong Kong.,Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
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48
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Sing CW, Tan KCB, Wong ICK, Cheung BMY, Cheung CL. Long-term Outcome of Short-course High-dose Glucocorticoids for Severe Acute Respiratory Syndrome (SARS): A 17-Year Follow-up in SARS Survivors. Clin Infect Dis 2021; 72:1830-1833. [PMID: 32671407 PMCID: PMC7454482 DOI: 10.1093/cid/ciaa992] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 07/10/2020] [Indexed: 11/13/2022] Open
Abstract
Use of high-dose glucocorticoids for coronavirus disease 2019 (COVID-19; caused by SARS-CoV-2) is controversial because of safety concerns. We examined long-term consequences in severe acute respiratory syndrome (SARS; caused by SARS-CoV-1) survivors. Results showed that high-dose glucocorticoids greatly increased long-term risk of avascular necrosis, but not other major diseases.
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Affiliation(s)
- Chor-Wing Sing
- Department of Pharmacology and Pharmacy, University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
| | - Kathryn C B Tan
- Department of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
| | - Ian C K Wong
- Department of Pharmacology and Pharmacy, University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China.,Research Department of Practice and Policy, UCL School of Pharmacy, University College London, London, United Kingdom
| | - Bernard M Y Cheung
- Department of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
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Abstract
Introduction: Obesity is a public health crisis in the US. Childhood obesity is associated with multiple comorbidities in the adulthood, including metabolic syndrome, cardiovascular diseases, and premature death. A recent study found that the prevalence of childhood obesity varied according to age and ethnicity. This study aims to evaluate the long-term trends and the underexplored socioeconomic factors associated with childhood obesity. Method: From the US National Health and Nutrition Examination Survey from 1999 to 2018, 35 907 children aged 2–19 with body mass index (BMI) data were included. Prevalence of obesity and severe obesity, defined as BMI ≥95th percentile and ≥120% of 95th percentile of US Centers for Disease Control and Prevention growth charts, respectively. Trends in prevalence of obesity and subgroup analyses according to age group, sex, ethnicity, language used in interview, household education level, and household income level, were analyzed. Data analysis was performed using the R statistical package “survey” (version 3.6.3). Results: The prevalence of obesity and severe obesity increased from 14.7 [95% CI: 12.9–17.0] % to 19.2 [17.2–21.0] % and 3.9 [2.9–5.0] % to 6.1 [4.8–8.0] % in 1999–2018, respectively (p=0.001 and p=0.014 for obesity and severe obesity, respectively). In 2017–8, the prevalence of obesity among children from Spanish-speaking households was 24.4 [22.4–27.0] %, higher than children from English-speaking households (p=0.027). Children from households with high education level and high income level had a lower prevalence of obesity compared to those with low education level and low income level (p=0.003 and p=0.002 for education level and income level, respectively). Compared to girls, boys had higher prevalence of obesity (p=0.002) and severe obesity (p=0.004). Conclusion: The prevalence of childhood obesity in America kept increasing during the period 1999–2018 despite various public health initiatives. The problem is worse in children with lower socioeconomic status, and in children from Spanish-speaking households. Public health interventions are urgently needed to halt the rising trend of childhood obesity, and measures specifically catering to children from Spanish-speaking families should be put in place.
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Affiliation(s)
- Hang Long Li
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Man Fung Tsoi
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Qi Feng
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | | | - Tommy Cheung
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Bernard M Y Cheung
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
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50
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Li GHY, Cheung CL, Au PCM, Tan KCB, Wong ICK, Sham PC. Positive effects of low LDL-C and statins on bone mineral density: an integrated epidemiological observation analysis and Mendelian randomization study. Int J Epidemiol 2021; 49:1221-1235. [PMID: 31302685 DOI: 10.1093/ije/dyz145] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/04/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Low-density lipoprotein cholesterol (LDL-C) is suggested to play a role in osteoporosis but its association with bone metabolism remains unclear. Effects of LDL-C-lowering drugs on bone are also controversial. We aim to determine whether LDL-C is linked causally to bone mineral density (BMD) and assess the effects of LDL-C-lowering drugs on BMD. METHODS Association between blood lipid levels and BMD was examined by epidemiological observation analyses in a US representative cohort NHANES III (n = 3638) and the Hong Kong Osteoporosis Study (HKOS; n = 1128). Two-sample Mendelian randomization (MR), employing genetic data from a large-scale genome-wide association study (GWAS) of blood lipids (n = 188 577), total body BMD (TB-BMD) (n = 66 628) and estimated BMD (eBMD) (n= 142 487), was performed to infer causality between LDL-C and BMD. Genetic proxies for LDL-C-lowering drugs were used to examine the drugs' effects on BMD. RESULTS In the NHANES III cohort, each standard deviation (SD) decrease in LDL-C was associated with a 0.045 SD increase in femoral neck BMD (95% CI: 0.009 - 0.081; P = 0.015). A similar increase in BMD was observed in the HKOS at femoral neck and lumbar spine. In MR analysis, a decrease in genetically predicted LDL-C was associated with an increase in TB-BMD {estimate per SD decrease, 0.038 [95% confidence interval (CI): 0.002 - 0.074]; P = 0.038} and eBMD [0.076 (0.042 - 0.111); P = 1.20x10-5]. Reduction in TB-BMD was causally associated with increased LDL-C [0.035 (0.033 - 0.066); P = 0.034]. Statins' LDL-C-lowering proxies were associated with increased TB-BMD [0.18 (0.044 - 0.316); P = 9.600x10-3] and eBMD [0.143 (0.062 - 0.223); P = 5.165x10-4]. CONCLUSIONS Negative causal association exists between LDL-C level and BMD. Statins' LDL-C-lowering effect increases BMD, suggesting their protective effect on bone.
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Affiliation(s)
- Gloria Hoi-Yee Li
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.,Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.,Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong Pokfulam, Hong Kong
| | - Philip Chun-Ming Au
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Kathryn Choon-Beng Tan
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong Pokfulam, Hong Kong
| | - Ian Chi-Kei Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.,Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
| | - Pak-Chung Sham
- Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.,Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
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