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Park SK, Jung JY, Kim MH, Oh CM, Shin S, Ha E, Lee S, Jung MH, Ryoo JH. Changes in urine dipstick proteinuria and its relation to the risk of diabetic retinopathy and neuropathy. Endocrine 2024; 86:644-653. [PMID: 38907116 DOI: 10.1007/s12020-024-03928-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 06/10/2024] [Indexed: 06/23/2024]
Abstract
BACKGROUND Proteinuria is considered as a predictor for cardiovascular complications in diabetes mellitus (DM). However, no study has examined the association between changes in proteinuria and the risk of diabetic microvascular complications. METHODS Study participants were 71,825 DM patients who received urine dipstick test for proteinuria both in 2003-2004 and 2006-2007. They were categorized into four groups according to changes in proteinuria over 3 years (negative: negative → negative, resolved: proteinuria ≥ 1+ → negative, incident: negative → proteinuria ≥ 1+, persistent: proteinuria ≥ 1+ → proteinuria ≥ 1+). Cox-proportional hazard model was used in assessing the adjusted hazard ratios (HR) and 95% confidence interval (CI) for incidence of retinopathy, and neuropathy (adjusted HR [95% CI]). RESULT In all of DM patients, risk for comprehensive incidence of retinopathy and neuropathy increased in all types of proteinuria changes. In type 1 DM, HR for retinopathy and neuropathy generally increased in order of negative (reference), resolved (2.175 [1.150-4.114] and 1.335 [0.909-1.961]), incident (2.088 [1.185-3.680] and 1.753 [1.275-2.409]), and persistent proteinuria (1.314 [0.418-4.134] and 2.098 [1.274-3.455]). This pattern of relationship was similarly observed in type 2 DM for retinopathy and neuropathy: negative (reference), resolved (1.490 [1.082-2.051] and 1.164 [0.988-1.371]), incident (1.570 [1.161-2.123] and 1.291 [1.112-1.500]), and persistent proteinuria (2.309 [1.407-3.788] and 1.272 [0.945-1.712]). CONCLUSION Risk for diabetic retinopathy and neuropathy generally increased in order of negative, resolved, incident, and persistent proteinuria. Once manifested proteinuria was associated with the increased risk of diabetic retinopathy and neuropathy even after remission of proteinuria.
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Affiliation(s)
- Sung Keun Park
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University, School of Medicine, Seoul, Korea
| | - Ju Young Jung
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University, School of Medicine, Seoul, Korea
| | - Min-Ho Kim
- Ewha Medical Data Organization, Ewha Womans University Seoul Hospital, Seoul, Korea
| | - Chang-Mo Oh
- Departments of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea
| | - Soonsu Shin
- Department of Occupational and Environment Medicine, Kyung Hee University Hospital, Seoul, Korea
| | - Eunhee Ha
- Department of Occupational and Environment Medicine, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Sangho Lee
- Department of Anesthesiology and Pain Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Korea
| | - Min Hyung Jung
- Department of Obstetrics and Gynecology, School of Medicine, Kyung Hee University, Seoul, Korea
| | - Jae-Hong Ryoo
- Departments of Occupational and Environmental Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.
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Woo HG, Park MS, Song TJ. Persistent proteinuria is associated with the occurrence of cardiovascular disease: a nationwide population-based cohort study. Sci Rep 2024; 14:25376. [PMID: 39455616 PMCID: PMC11511921 DOI: 10.1038/s41598-024-75384-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 10/04/2024] [Indexed: 10/28/2024] Open
Abstract
Proteinuria is an important risk factor for cardiovascular disease (CVD) and acts as a surrogate marker of renal damage. This study aimed to determine the association between changes in proteinuria and the occurrence of CVD. In our study, 1,708,712 participants who consecutively underwent national health examinations from 2003-2004 (first period) to 2005-2006 (second period) were included. They were classified into four groups based on the presence of proteinuria at the two consecutive health examinations: (1) normal (0 → 0), (2) proteinuria-improved (participants who had improved proteinuria (+ 1 → 0, + 2 → ≤ +1 [0 or + 1], ≥ +3 → ≤ +2 [0, + 1 or + 2]), (3) proteinuria-progressed (0 → ≥ +1, + 1 → ≥ +2, + 2 → ≥ +3), and (4) proteinuria-persistent (+ 1 → +1, + 2 → +2, ≥ +3 → ≥ +3). We used a multivariate Cox proportional hazards model to assess the occurrence of CVD according to changes of presence and severity of proteinuria. During a median of 14.2 years of follow-up, 143,041 participants (event rate, 8.37%) with composite CVD were observed. Compared with the normal group, the risk of incident risk of CVD was increased according to the severity of proteinuria in each of the persistent, progressed, and improved groups (p for trend < 0.001). In a pairwise comparison, the risk of composite CVD in the improved (hazard ratio [HR]: 1.32, 95% confidence interval [CI]: 1.27-1.37), progressed (HR: 1.49, 95% CI: 1.44-1.54), and persistent groups (HR: 1.78, 95% CI: 1.64-1.94) were higher than that of the normal group. Furthermore, the improved group had a relatively lower risk of composite CVD compared to the persistent group (HR: 0.75, 95% CI: 0.69-0.83, p < 0.001). The incidence risk of composite CVD was associated with changes of presence and severity of proteinuria. Persistent proteinuria may be associated with increased risk of CVD, even compared with improved or progressed proteinuria status.
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Affiliation(s)
- Ho Geol Woo
- Department of Neurology, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Moo-Seok Park
- Department of Neurology, Seoul Hospital, Ewha Womans University College of Medicine, 260, Gonghang-daero, Gangseo-gu, Seoul, 07804, Republic of Korea
| | - Tae-Jin Song
- Department of Neurology, Seoul Hospital, Ewha Womans University College of Medicine, 260, Gonghang-daero, Gangseo-gu, Seoul, 07804, Republic of Korea.
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Yang W, Wu Y, Chen Y, Chen S, Gao X, Wu S, Sun L. Different levels of physical activity and risk of developing type 2 diabetes among adults with prediabetes: a population-based cohort study. Nutr J 2024; 23:107. [PMID: 39289701 PMCID: PMC11406853 DOI: 10.1186/s12937-024-01013-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Accepted: 09/10/2024] [Indexed: 09/19/2024] Open
Abstract
OBJECTIVES This study aimed to evaluate the association between different levels of physical activity and risk of developing type 2 diabetes (T2D) mellitus among adults with prediabetes in Chinese population. METHODS This prospective population-based cohort study included 12,424 participants (mean [SD] age, 52.8 [16.8] years; 82.2% men) with prediabetes at 2014 survey of the Kailuan study. Physical activity information was collected through the International Physical Activity Questionnaire-Short Form and categorized by metabolic equivalent (MET) of task as low, moderate, and high. Cox regression models were built to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between physical activity levels and incident T2D. RESULTS During a median follow-up of 3.6 years, 2,207 (17.8%) participants developed T2D. The incident rate of T2D were 55.83/1000, 35.14/1000, and 39.61/1000 person-years in the low, moderate, and high physical activity level group, respectively. Both moderate (HR 0.57, 95% CI 0.49 to 0.67) and high (HR 0.76, 95% CI 0.66 to 0.89) physical activity levels were associated with lower risks of developing T2D compared to low physical activity level (P for trend < 0.001). The association between high physical activity level and T2D was primarily observed in participants without metabolic syndrome (P for interaction < 0.001). Moreover, participants with moderate or high levels of physical activity had significantly decreased fasting blood glucose levels during follow-up when compared to those with low level (P group*time < 0.001). CONCLUSION This study suggested that individuals with prediabetes might benefit from moderate and high levels of physical activity.
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Affiliation(s)
- Wenchang Yang
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Clinical Research Unit, Institute of Clinical Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yuntao Wu
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, Hebei Province, China
| | - Yue Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Clinical Research Unit, Institute of Clinical Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, Hebei Province, China
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Clinical Research Unit, Institute of Clinical Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, Hebei Province, China.
| | - Liang Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Clinical Research Unit, Institute of Clinical Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
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Zuo Y, Chen S, Tian X, Wu S, Wang A. Systolic blood pressure and risk of cardiovascular disease in normotensive diabetic adults: a prospective cohort study. Endocrine 2024; 85:1122-1130. [PMID: 38753244 DOI: 10.1007/s12020-024-03803-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 03/25/2024] [Indexed: 08/11/2024]
Abstract
BACKGROUND Currently, the special blood pressure (BP) target for normotensive diabetic patients has not been recommended. We investigated the optimal systolic blood pressure (SBP) for lower cardiovascular disease (CVD) risk in normotensive diabetic patients. METHODS In this 12-year follow-up study using the participants of the Kailuan Study, we mainly compared which SBP, 90-119 mmHg or 120-129 mmHg, had a lower risk of occurrence of CVD (stroke and myocardial infarction) in the 3072 normotensive diabetic participants and 21,532 normotensive and non-diabetic participants, respectively. The SBP was expressed as a mean time-weighted cumulative (MTWC) SBP, calculated from the multiple measurements of SBP during the follow-up. Multivariate competing risk regression analyses were used for the analysis. RESULTS We found that in normotensive diabetic participants, MTWC SBP of 120-129 mmHg was associated with a lower risk of CVD (HR = 0.69 [0.50-0.95]), myocardial infarction (HR = 0.48 [0.24-0.96]), and trending towards lower risk of stroke (HR = 0.80 [0.55-1.16]), compared to MTWC SBP of 90-119 mmHg. Sensitivity analyses confirmed the relationship between low SBP and increased CVD risk. Whereas, in the normotensive and non-diabetic participants, MTWC SBP of 90-119 mmHg vs 120-129 mmHg did not exhibit any difference in the risk of CVD occurrence (HR = 0.99 [0.83-1.18]). CONCLUSIONS The higher level of SBP in normotensive diabetic patients is especially associated with a lower risk of CVD occurrence.
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Affiliation(s)
- Yingting Zuo
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xue Tian
- Department of Epidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University,, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Anxin Wang
- Department of Epidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University,, Beijing, China.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
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Zuo Y, Chen S, Tian X, Wu S, Wang A. Changes in baPWV and the risk of clinical outcomes: a cohort study of Chinese community-based population. J Hum Hypertens 2024; 38:460-466. [PMID: 38413723 DOI: 10.1038/s41371-024-00902-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 01/29/2024] [Accepted: 02/08/2024] [Indexed: 02/29/2024]
Abstract
It has not been fully investigated whether improved arterial stiffness (AS) can reduce the clinical outcomes risk in community population-based study. In this prospective study, a total of 5247 individuals with abnormal AS (at baseline) and repeated brachial-ankle pulse wave velocity (baPWV) measurement before 2018 years were enrolled from the Kailuan Study. According the second baPWV measurement, we divided the participants into two groups, improved AS (defined as transfer elevated AS status to normal) and persistent AS (defined as maintaining elevated AS status). The outcome was a composite event of stroke, myocardial infraction, and all-cause mortality. We used Cox proportional hazards regression to examine the association between AS status at the follow-up and the subsequent outcome. During a median of 5.2 years follow-up, we observed 413 end point events. After adjusted for potential confounders, comparing with the persistent AS group, individuals in the improved AS group had a 43% (hazard ratio [HR], 0.57; 95% confidence interval [CI] 0.35-0.94) decreased the risk of the primary composite events. We also found a baPWV decrease of 1 m/s was associated with a 3% decreased risk (HR, 0.97; 95% CI 0.94-0.99) for primary composite events. We further demonstrated that younger than 60 years, non-smoker, non-hypertension, and non-diabetes were associated with improved the AS status. In conclusion, improving AS status may reduce the risk of clinical events. In the future, more research should be performed to explore the target for improving the AS status.
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Affiliation(s)
- Yingting Zuo
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xue Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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Zuo Y, Chen S, Tian X, Wang P, Wu S, Wang A. Association of Vascular Aging With Cardiovascular Disease in Middle-Aged Chinese People: A Prospective Cohort Study. JACC. ASIA 2023; 3:895-904. [PMID: 38155790 PMCID: PMC10751638 DOI: 10.1016/j.jacasi.2023.07.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 06/22/2023] [Accepted: 07/30/2023] [Indexed: 12/30/2023]
Abstract
Background Whether middle-aged individuals with a greater difference between chronological age and vascular age show a lower cardiovascular disease risk remains to be clarified. Objectives This study sought to examine whether individuals with supernormal vascular aging (VA) have a lower cardiovascular disease risk than do individuals with normal VA. Methods This prospective cohort study included 20,917 middle-aged (40-60 years) participants from the Kailuan Study. VA was defined as the predicted age in a multivariate regression model, including classic cardiovascular risk factors and pulsed wave velocity. The chronological age minus the VA was defined as the Δ-age, and the 10th and 90th percentiles of the Δ-age were used as cutoffs to define early VA and supernormal VA, respectively. The outcome was a composite of myocardial infarction, hospital admission for heart failure, and stroke. The study used Cox proportional hazards regression to examine the association between the VA categories and the incident cardiovascular outcome. Results During the median 4.6-year follow-up period, 584 endpoint events were observed. After adjusting for potential variables, when compared with the normal VA group, the supernormal VA group had a decreased rate of cardiovascular events (HR: 0.47; 95% CI: 0.35-0.64), and the early VA group had an increased rate (HR: 1.90; 95% CI: 1.22-2.95) of cardiovascular events. Conclusions Individuals with supernormal VA are at a lower risk of cardiovascular events, and individuals with early VA are at a higher risk of cardiovascular events than individuals with normal VA. Further characterization may provide novel insight into future preventive strategies against cardiovascular disease.
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Affiliation(s)
- Yingting Zuo
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xue Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Penglian Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Park SK, Jung JY, Kim MH, Oh CM, Ha E, Yang EH, Lee HC, Shin S, Hwang WY, Lee S, Shin SY, Ryoo JH. Changes in proteinuria and the associated risks of ischemic heart disease, acute myocardial infarction, and angina pectoris in Korean population. Epidemiol Health 2023; 45:e2023088. [PMID: 37817566 PMCID: PMC10867523 DOI: 10.4178/epih.e2023088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/13/2023] [Accepted: 03/14/2023] [Indexed: 10/12/2023] Open
Abstract
OBJECTIVES Proteinuria is widely used to predict cardiovascular risk. However, there is insufficient evidence to predict how changes in proteinuria may affect the incidence of cardiovascular disease. METHODS The study included 265,236 Korean adults who underwent health checkups in 2003-2004 and 2007-2008. They were categorized into 4 groups based on changes in proteinuria (negative: negative → negative; resolved: proteinuria ≥1+ → negative; incident: negative → proteinuria ≥1+; persistent: proteinuria ≥1+ → proteinuria ≥1+). We conducted 6 years of follow-up to identify the risks of developing ischemic heart disease (IHD), acute myocardial infarction (AMI), and angina pectoris according to changes in proteinuria. A multivariate Cox proportional-hazards model was used to calculate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for incident IHD, AMI, and angina pectoris. RESULTS The IHD risk (expressed as HR [95% CI]) was the highest for persistent proteinuria, followed in descending order by incident and resolved proteinuria, compared with negative proteinuria (negative: reference, resolved: 1.211 [95% CI, 1.104 to 1.329], incident: 1.288 [95% CI, 1.184 to 1.400], and persistent: 1.578 [95% CI, 1.324 to 1.881]). The same pattern was associated with AMI (negative: reference, resolved: 1.401 [95% CI, 1.048 to 1.872], incident: 1.606 [95% CI, 1.268 to 2.035], and persistent: 2.069 [95% CI, 1.281 to 3.342]) and angina pectoris (negative: reference, resolved: 1.184 [95% CI, 1.065 to 1.316], incident: 1.275 [95% CI, 1.160 to 1.401], and persistent: 1.554 [95% CI, 1.272 to 1.899]). CONCLUSIONS Experiencing proteinuria increased the risks of IHD, AMI, and angina pectoris even after proteinuria resolved.
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Affiliation(s)
- Sung Keun Park
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ju Young Jung
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Min-Ho Kim
- Department of Preventive Medicine, Graduate School, Kyung Hee University, Seoul, Korea
- Informatization Department, Ewha Womans University Seoul Hospital, Seoul, Korea
| | - Chang-Mo Oh
- Department of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Korea
| | - Eunhee Ha
- Department of Occupational and Environment Medicine, Ewha Womans University College of Medicine, Seoul, Korea
| | - Eun Hye Yang
- Department of Occupational and Environmental Medicine, Kyung Hee University Hospital, Seoul, Korea
| | - Hyo Choon Lee
- Department of Occupational and Environmental Medicine, Kyung Hee University Hospital, Seoul, Korea
| | - Soonsu Shin
- Department of Preventive Medicine, Graduate School, Kyung Hee University, Seoul, Korea
| | - Woo Yeon Hwang
- Department of Obstetrics and Gynecology, Kyung Hee University Hospital, Seoul, Korea
| | - Sangho Lee
- Department of Anesthesiology and Pain Medicine, Kyung Hee University Medical Center, Seoul, Korea
| | - So Youn Shin
- Department of Radiology, Kyung Hee University School of Medicine, Seoul, Korea
| | - Jae-Hong Ryoo
- Department of Occupational and Environmental Medicine, Kyung Hee University School of Medicine, Seoul, Korea
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Lee SE, Yoo J, Choi HS, Han K, Kim KA. Two-Year Changes in Diabetic Kidney Disease Phenotype and the Risk of Heart Failure: A Nationwide Population-Based Study in Korea. Diabetes Metab J 2023; 47:523-534. [PMID: 37096376 PMCID: PMC10404526 DOI: 10.4093/dmj.2022.0096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 12/03/2022] [Indexed: 04/26/2023] Open
Abstract
BACKGRUOUND Diabetic kidney disease (DKD) is a risk factor for hospitalization for heart failure (HHF). DKD could be classified into four phenotypes by estimated glomerular filtration rate (eGFR, normal vs. low) and proteinuria (PU, negative vs. positive). Also, the phenotype often changes dynamically. This study examined HHF risk according to the DKD phenotype changes across 2-year assessments. METHODS The study included 1,343,116 patients with type 2 diabetes mellitus (T2DM) from the Korean National Health Insurance Service database after excluding a very high-risk phenotype (eGFR <30 mL/min/1.73 m2) at baseline, who underwent two cycles of medical checkups between 2009 and 2014. From the baseline and 2-year eGFR and PU results, participants were divided into 10 DKD phenotypic change categories. RESULTS During an average of 6.5 years of follow-up, 7,874 subjects developed HHF. The cumulative incidence of HHF from index date was highest in the eGFRlowPU- phenotype, followed by eGFRnorPU+ and eGFRnorPU-. Changes in DKD phenotype differently affect HHF risk. When the persistent eGFRnorPU- category was the reference, hazard ratios for HHF were 3.10 (95% confidence interval [CI], 2.73 to 3.52) in persistent eGFRnorPU+ and 1.86 (95% CI, 1.73 to 1.99) in persistent eGFRlowPU-. Among altered phenotypes, the category converted to eGFRlowPU+ showed the highest risk. In the normal eGFR category at the second examination, those who converted from PU- to PU+ showed a higher risk of HHF than those who converted from PU+ to PU-. CONCLUSION Changes in DKD phenotype, particularly with the presence of PU, are more likely to reflect the risk of HHF, compared with DKD phenotype based on a single time point in patients with T2DM.
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Affiliation(s)
- Seung Eun Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Juhwan Yoo
- Department of Biomedicine & Health Science, The Catholic University of Korea, Seoul, Korea
| | - Han Seok Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Kyoung-Ah Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Korea
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Yang Y, Song L, Wang L, Li D, Chen S, Wu S, Tian Y. Effect of body mass index trajectory on lifetime risk of cardiovascular disease in a Chinese population: A cohort study. Nutr Metab Cardiovasc Dis 2023; 33:523-531. [PMID: 36710107 DOI: 10.1016/j.numecd.2022.11.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND AIMS The longitudinal trajectories of body mass index (BMI) can reflect the pattern of BMI changes. Lifetime risk quantifies the cumulative risk of developing a disease over the remaining life of a person. We aimed to identify the trajectory of BMI and explore its association with cardiovascular disease (CVD) in the Chinese population. METHODS AND RESULTS A total of 68,603 participants with a mean age of 55.46 years were included from the Kailuan cohort in Tangshan, China, who were free of CVD and cancer and with repeated measurements of BMI from 2006 to 2010. A latent mixture model was used to identify BMI trajectories. An improved Kaplan-Meier estimator was used to predict the lifetime risk of CVD according to BMI trajectories. During a median follow-up of 7.0 years, 3325 participants developed CVD. Five BMI trajectories were identified at three index ages (35, 45, and 55) respectively. For index age 35 years, compared with the stable low-normal weight group (22.7% [95% CI, 20.0%-25.4%]), the stable high-normal weight (27.6% [25.6%-29.5%]), stable overweight (29.4% [27.4%-31.4%]), stable-low obesity (32.8% [30.0%-35.5%]), and stable-high obesity (38.9% [33.3%-44.5%]) groups had a higher lifetime risk of CVD (P < 0.05). We observed similar patterns for stroke and myocardial infarction. Similarly, the lifetime risk of CVD was higher in the long-term overweight and obese groups at 45 and 55 index ages. CONCLUSIONS Long-term overweight and obesity were associated with an increased lifetime risk of CVD. Our findings could assist in predicting the population burden of CVD.
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Affiliation(s)
- Yingping Yang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Lulu Song
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Lulin Wang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Dankang Li
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, No.57 Xinhua East Road, Tangshan City, 063001, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, No.57 Xinhua East Road, Tangshan City, 063001, China.
| | - Yaohua Tian
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, 430030, China.
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10
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Tian X, Zuo Y, Chen S, Meng X, Chen P, Wang Y, Wu S, Luo Y, Wang A. Distinct triglyceride-glucose trajectories are associated with different risks of incident cardiovascular disease in normal-weight adults. Am Heart J 2022; 248:63-71. [PMID: 35248535 DOI: 10.1016/j.ahj.2022.02.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 02/16/2022] [Accepted: 02/25/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Long-term patterns of the triglyceride-glucose index (TyG index) and their effects on cardiovascular disease (CVD) among normal-weight adults are poorly characterized. This study aimed to identify TyG index trajectories in normal-weight adults and to determine their association with the risk of incident CVD. METHODS This study included 40,473 normal-weight participants who were free of stroke and myocardial infarction prior to or in 2012. The TyG index was calculated as ln (fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2), and the TyG index trajectories during 2006-2012 were identified by latent mixture modeling. RESULTS We identified five distinct TyG index trajectories according to TyG index range and changing pattern over time: low-stable (n = 9,806; mean TyG index 7.84-7.93), moderate-stable (n = 22,066; mean TyG index 8.43-8.52), high-decreasing (n = 1,469; mean TyG index 9.83-8.75), moderate-increasing (n = 5,842; mean TyG index 8.98-9.26), and high-stable (n = 1,290; mean TyG index 9.91-10.07). During 6.74 years of follow-up, we documented 1,577 incident CVD events. Compared with the low-stable pattern, the highest risk of CVD was observed in the high-stable pattern (hazard ratio [HR], 2.24; 95% confidence interval [CI]: 1.73-2.90), followed by the moderate-increasing pattern (HR, 1.70; 95% CI, 1.43-2.04), the high-decreasing pattern (HR, 1.45; 95% CI, 1.11-1.89), and the moderate-stable pattern (HR, 1.25; 95% CI, 1.08-1.44). Similar results were also observed for stroke and myocardial infarction. CONCLUSIONS Distinct TyG index trajectories were significantly associated differently subsequent risk of CVD in normal-weight individuals. These observations suggested that long-term trajectories of TyG index may be useful for predicting CVD among normal-weight adults.
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Affiliation(s)
- Xue Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yingting Zuo
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Pan Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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11
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Zuo Y, Han X, Tian X, Chen S, Wu S, Wang A. Association of Impaired Fasting Glucose With Cardiovascular Disease in the Absence of Risk Factor. J Clin Endocrinol Metab 2022; 107:e1710-e1718. [PMID: 34748624 DOI: 10.1210/clinem/dgab809] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND The association between impaired fasting glucose and cardiovascular disease (CVD) in participants without atherosclerotic CVD (ASCVD) risk factors based on current definitions is unclear. The study aimed to examine the association of fasting glucose levels with CVD and its subtypes in persons without ASCVD risk factors. METHODS This study included 38 297 participants [men 62.1%; mean age 47.9 (12.9) years] who were free of a history of CVD and absent of ASCVD risk factors and had a fasting plasma glucose (FPG) level between 70 to 125 mg/dL at baseline from Kailuan Study during 2006 and 2007. Participants were followed until new-onset CVD event, death, or December 31, 2017. Cox proportional hazards models were performed to evaluate the associations. RESULTS During a median follow-up of 11.0 years (interquartile range 10.7-11.2 years), we observed 1217 incident CVD events. Compared with participants with FPG 70 to 99 mg/dL, the multivariable adjusted hazard ratios for CVD among participants with FPG 100 to 109 mg/dL and 110 to 125 mg/dL were 1.18 (95% CI 1.02-1.38) and 1.27 (95% CI 1.03-1.55), respectively. Multivariable-adjusted spline regression model showed a J-shaped association between FPG and the risk of CVD. CONCLUSIONS We found that among individuals without diabetes or other traditional ASCVD risk factors, there is an increased risk of incident CVD with increasing abnormal FPG levels. These results highlight the importance of primordial prevention for FPG level increases along with other traditional ASCVD risk factors.
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Affiliation(s)
- Yingting Zuo
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xinsheng Han
- Department of Neurology, Kai Feng Central Hospital, Kaifeng, China
| | - Xue Tian
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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12
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Zuo Y, Zheng D, Chen S, Yang X, Yan Y, Liu F, Tian X, Wang M, Su X, Wen J, Zhai Q, Zhang Y, Gaisano HY, Wu S, Wang A, He Y. Baseline and Cumulative Blood Pressure in Predicting the Occurrence of Cardiovascular Events. Front Cardiovasc Med 2021; 8:735679. [PMID: 34621801 PMCID: PMC8490882 DOI: 10.3389/fcvm.2021.735679] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 08/24/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Both baseline blood pressure (BP) and cumulative BP have been used to estimate cardiovascular event (CVE) risk of higher BP, but which one is more reliable for recommendation to routine clinical practice is unclear. Methods: In this prospective study, conducted in the Kailuan community of Tanshan City, China, a total of 95,702 participants free of CVEs at baseline (2006-2007) were included and followed up until 2017. Time-weighted cumulative BP that expresses the extent of cumulative BP exposure is defined as the sum of the mean of two consecutive systolic or diastolic BP times the interval between the two determinations, then normalized by the total follow-up duration. Incident CVEs during 2006-2017 were confirmed by review of medical records. We performed a competing risk regression analysis to assess CVE risk of the different durations of higher BP exposure. ROC analysis was performed to assess the predictive value of higher BP on CVE occurrence. Results: We found that when the risk of higher BP on CVE occurrence was estimated based on time-weighted cumulative BP, the hazard ratios (HRs) increased with the increase in duration of higher BP exposure in each of the four BP groups: <120/<80, 120-129/<80, 130-139/80-89, and ≥140/≥90 mmHg; this time trend also occurred across the four different BP groups, with the higher BP group exhibiting CVE risk earlier during the follow-up. These results were confirmed by the same analysis performed on participants without baseline hypertension. However, such reasonable time trends did not occur when a single baseline BP was used as the primary estimation. We also demonstrated that the predictive values of baseline systolic and diastolic BP that predict CVE occurrence were only 0.6-3.2 and 0.2-3.1% lower, respectively, than those of cumulative BP combined with baseline BP during follow-up. Conclusions: Baseline BP remains a useful indicator for predicting future occurrence of CVEs. Nevertheless, time-weighted cumulative BP could more reliably estimate the CVE risk of higher BP exposure than baseline BP.
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Affiliation(s)
- Yingting Zuo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Deqiang Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xinghua Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yuxiang Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Fen Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xue Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Meiping Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xin Su
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jing Wen
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qi Zhai
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yibo Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Herbert Y. Gaisano
- Departments of Medicine and Physiology, University of Toronto, Toronto, ON, Canada
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yan He
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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13
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Wang A, Tian X, Zuo Y, Chen S, Meng X, Wu S, Wang Y. Change in triglyceride-glucose index predicts the risk of cardiovascular disease in the general population: a prospective cohort study. Cardiovasc Diabetol 2021; 20:113. [PMID: 34039351 PMCID: PMC8157734 DOI: 10.1186/s12933-021-01305-7] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 05/19/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Previous studies has shown a significant relationship between baseline triglyceride-glucose (TyG) index and subsequent cardiovascular disease (CVD). However, the effect of longitudinal changes in TyG index on the risk of CVD remains uncertain. This study aimed to investigate the association between change in TyG index and the risk of CVD in the general population. METHODS The current study included 62,443 Chinese population who were free of CVD. The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2], and change in TyG index was defined as the difference between the TyG index in 2010 and that in 2006. Multivariable-adjusted Cox proportional hazard models and restricted cubic spline analysis were used to examine the association between change in TyG index and the risk of CVD. RESULTS During a median follow-up of 7.01 years, 2530 (4.05%) incident CVD occurred, including 2018 (3.23%) incident stroke and 545 (0.87%) incident myocardial infarction (MI). The risk of developing CVD increased with the quartile of change in TyG index, after adjustment for multiple potential confounders, the hazard ratios for the Q4 group versus the Q1 group were 1.37 (95% confidence interval [CI], 1.21-1.54) for the overall CVD, 1.38 (95% CI, 1.19-1.60) for stroke, and 1.36 (95% CI, 1.05-1.76) for MI. Restricted cubic spline analysis also showed a cumulative increase in the risk of CVD with increases in the magnitude of change in TyG index. The addition of change in TyG index to a baseline risk model for CVD improved the C-statistics (P = 0.0097), integrated discrimination improvement value (P < 0.0001), and category-free net reclassification improvement value (P < 0.0001). Similar results were observed for stroke and MI. CONCLUSIONS Substantial changes in TyG index independently predict the risk of CVD in the general population. Monitoring long-term changes in TyG may assist with in the early identification of individuals at high risk of CVD.
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Affiliation(s)
- Anxin Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xue Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yingting Zuo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, 57 Xinhua East Road, Tangshan, 063000, China
| | - Xia Meng
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, 57 Xinhua East Road, Tangshan, 063000, China.
| | - Yongjun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China. .,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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14
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Ren Y, Zuo Y, Wang A, Chen S, Tian X, Li H, He Y, Wu S, Ma C. Diabetes modifies the association of prehypertension with cardiovascular disease and all-cause mortality. J Clin Hypertens (Greenwich) 2021; 23:1221-1228. [PMID: 33813784 PMCID: PMC8678834 DOI: 10.1111/jch.14246] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 02/27/2021] [Accepted: 03/16/2021] [Indexed: 12/05/2022]
Abstract
Prehypertension is a risk factor for cardiovascular disease (CVD) and all‐cause mortality. However, it is unclear whether prehypertension combined with diabetes associate with a higher risk for cardiovascular disease and all‐cause mortality. The purpose of this study was to explore the relationship between prehypertension and the risk of CVD and all‐cause mortality was different among individuals with or without diabetes. In the prospective community‐based Kailuan study, 67 344 participants without hypertension or a history of CVD at baseline (2006) were included. Prehypertension was defined as systolic blood pressure of 120–139 mmHg or diastolic blood pressure of 80–89 mmHg. The outcomes were CVD and all‐cause mortality were followed up through December 31, 2017. We performed Cox proportional hazards models to evaluate the relationships between prehypertension and CVD and all‐cause mortality by diabetes status. During a median follow‐up of 11.03 years, 2981 CVD events and 4655 all‐cause mortality occurred. After adjusting age, sex, and other factors, the associations of prehypertension with risk of CVD and all‐cause mortality were significant in participants without diabetes (hazard ratio and 95% confidence interval: 1.54 [1.38–1.71] and 1.27 [1.17–1.38]), but not in participants with diabetes (1.20 [0.93–1.56] and 0.88 [0.73–1.07]). The interactions between prehypertension and diabetes for the risk of CVD and all‐cause mortality were all significant (all p < .05). Prehypertension was only associated with an increased risk for CVD and all‐cause mortality in non‐diabetes participants. Diabetes modifies the relation of prehypertension with the risk of CVD and all‐cause mortality.
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Affiliation(s)
- Yanlong Ren
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yingting Zuo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xue Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Haibin Li
- Department of Epidemiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yan He
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Changsheng Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,National Clinical Research Center for Cardiovascular Diseases, Beijing, China
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15
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Abstract
OBJECTIVE Among the risk factors of stroke, hypertension was one of the most important and modifiable factors. The current study aimed to assess whether antihypertensive treatment to ideal levels of blood pressure can eliminate stroke risk in a prospective cohort study. METHODS The Kailuan study was a prospective longitudinal cohort study on stroke risk factors and events. We analyzed association of baseline antihypertensive treatment efficacy with the risk of stroke during 11.0-year follow-up, and further evaluated association of newly antihypertensive treatment efficacy at 4-year follow-up with subsequent stroke. Multivariate Cox proportion models were used to calculated hazard ratios and their 95% confidence intervals (CIs) for stroke. RESULTS A total of 97 772 participants (median age: 51.65 years) without previous stroke were included. At baseline, 55 518 participants had normotension, 2339 treated and controlled, 32 331 untreated hypertension and 7584 treated but uncontrolled. Compared with normotension, individuals with treated and controlled, untreated hypertension and treated but uncontrolled, had 83, 97 and 162% higher risk of developing total stroke after adjusting for potential stroke risk factors, respectively (hazard ratio 1.83 [95% CI 1.56-2.15], 1.97 [95% CI 1.85-2.11] and 2.62 [95% CI 2.40-2.86]; all P < 0.05). Whereas, normotension at baseline, who were newly normotension with antihypertensives at 4-year follow-up, exhibited no elevated total stroke risk (hazard ratio, 1.41 [95% CI 0.87-2.30]). Similar results existed for stroke subtypes (ischemic stroke and hemorrhagic stroke). CONCLUSION The data suggest that, antihypertensive treatment to normotensive individuals can reduce stroke risk in a short time.
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16
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Tian X, Zuo Y, Chen S, Liu Q, Tao B, Wu S, Wang A. Triglyceride-glucose index is associated with the risk of myocardial infarction: an 11-year prospective study in the Kailuan cohort. Cardiovasc Diabetol 2021; 20:19. [PMID: 33435964 PMCID: PMC7802156 DOI: 10.1186/s12933-020-01210-5] [Citation(s) in RCA: 99] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 12/30/2020] [Indexed: 12/21/2022] Open
Abstract
Background The triglyceride–glucose (TyG) index, which is a simple surrogate marker of insulin resistance, has been suggested as a contributor of cardiovascular disease. However, evidence on the effect of long-term elevation of the TyG index exposure on myocardial infarction (MI) is limited. The current study aimed to evaluate the association of baseline and long-term elevation of the TyG index exposure with the risk of MI. Methods A total of 98,849 participants without MI at baseline (2006) were enrolled from the Kailuan study. The baseline TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The long-term TyG index was characterized in two ways as follows. The updated mean TyG index was calculated as the mean of TyG index at all previous visits before MI occurred or the end of follow-up; alternatively, the TyG index was calculated as the number of visits with a high TyG index in 2006, 2008, and 2010, ranging from 0 (no exposure) to 3 (had high TyG index at all three study visits). Hazard ratio (HR) and 95% confidence interval (CI) was estimated using multivariable Cox proportion hazard models. Results During a median follow-up of 11.03 years, 1555 incident MI occurred. In the multivariable-adjusted model, the risk of MI increased with quartiles of the baseline and updated mean TyG index, the HR in quartile 4 versus quartile 1 was 2.08 (95% CI,1.77–2.45) and 1.58 (1.18–2.12), respectively. Individuals with a high TyG index at all three visits had a 2.04-fold higher risk (95% CI, 1.63–2.56) of MI compared with no exposure. Subgroup analyses showed that the associations were more pronounced in women than in men (Pinteraction = 0.0411). Conclusions Elevated levels of the baseline and long-term TyG index are associated with an increased risk of MI. This finding indicates that the TyG index might be useful in identifying people at high risk of developing MI.
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Affiliation(s)
- Xue Tian
- China National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Beijing, 100070, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yingting Zuo
- China National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Beijing, 100070, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, 57 Xinhua East Rd, Tangshan, 063000, China
| | - Qian Liu
- Graduate School, North China University of Science and Technology, Tangshan, China
| | - Boni Tao
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, 57 Xinhua East Rd, Tangshan, 063000, China.
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Beijing, 100070, China. .,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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Tian Q, Wang A, Zuo Y, Chen S, Hou H, Wang W, Wu S, Wang Y. All-cause mortality in metabolically healthy individuals was not predicted by overweight and obesity. JCI Insight 2020; 5:136982. [PMID: 32663197 PMCID: PMC7455121 DOI: 10.1172/jci.insight.136982] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 07/08/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Metabolically healthy obesity (MHO) and metabolically healthy overweight (MH-OW) have been suggested to be important and emerging phenotypes with an increased risk of cardiovascular disease (CVD). However, whether MHO and MH-OW are associated with all-cause mortality remains inconsistent. METHODS The association of MHO and MH-OW and all-cause mortality was determined in a Chinese community-based prospective cohort study (the Kailuan study), including 93,272 adults at baseline. Data were analyzed from 2006 to 2017. Participants were categorized into 6 mutually exclusive groups, according to BMI and metabolic syndrome (MetS) status. The primary outcome was all-cause death, and accidental deaths were excluded. RESULTS During a median follow-up of 11.04 years (interquartile range, 10.74–11.22 years), 8977 deaths occurred. Compared with healthy participants with normal BMI (MH-NW), MH-OW participants had the lowest risk of all-cause mortality (multivariate-adjusted HR [aHR], 0.926; 95% CI, 0.861–0.997), whereas there was no increased or decreased risk for MHO (aHR, 1.009; 95% CI, 0.886–1.148). Stratified analyses and sensitivity analyses further validated that there was a nonsignificant association between MHO and all-cause mortality. CONCLUSIONS Overweight and obesity do not predict increased risk of all-cause mortality in metabolic healthy Chinese individuals. FUNDING National Natural Science Foundation of China (NSFC; 81673247, 81872682 and 81773527), the NSFC Joint Project, and the Australian National Health and Medical Research Council (NHMRC; NSFC 81561128020-NHMRC APP1112767). Obesity does not predict increased risk of all-cause mortality in metabolic healthy Chinese individuals.
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Affiliation(s)
- Qiuyue Tian
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, and.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yingting Zuo
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China
| | - Haifeng Hou
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, China
| | - Wei Wang
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, China.,School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health
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Yang R, Wang A, Ma L, Su Z, Chen S, Wang Y, Wu S, Wang C. Hematocrit and the incidence of stroke: a prospective, population-based cohort study. Ther Clin Risk Manag 2018; 14:2081-2088. [PMID: 30425503 PMCID: PMC6205522 DOI: 10.2147/tcrm.s174961] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Background and purpose Whether higher hematocrit levels could increase the incidence of stroke has always been full of controversy. This study aimed to explore the association between hematocrit and the incidence of stroke in the Chinese population. Subjects and methods The Kailuan study is a prospective longitudinal cohort study on risk factors and events of chronic diseases. Using a multivariable Cox proportional hazards analysis, we examined the association between baseline hematocrit values and the incidence of stroke in the Kailuan cohort (93,299 participants). Results A total of 3,624 participants developed stroke during the 9-year follow-up period. In Cox regression models adjusted for demographic information and for clinical variables, there was a significant association between baseline hematocrit levels and the incidence of stroke. The highest hematocrit quartile (quartile 5: men, hematocrit >48.6%; women, hematocrit >43.2%) was associated with a higher incidence of stroke (HR 1.17, 95% CI 1.04–1.31, P for trend =0.0016) compared with the lowest hematocrit quartile (quartile 1: men, hematocrit <41.5%; women, hematocrit <36.6%). In the analysis of ischemic stroke, intracerebral hemorrhage separately, similar association was observed in ischemic stroke, but there were no statistical differences in intracerebral hemorrhage. Conclusion Higher hematocrit levels are associated with a higher incidence of stroke in the Chinese population.
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Affiliation(s)
- Renling Yang
- Department of General Practice, School of General Practice and Continuing Education, Capital Medical University, Beijing, China, .,Department of General Practice, Beijing Tiantan Hospital, Capital Medical University, Beijing, China,
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Li Ma
- Department of General Practice, Beijing Tiantan Hospital, Capital Medical University, Beijing, China,
| | - Zhaoping Su
- Department of Epidemiology and Health Statistics, Academy of Public Health and Management, Weifang Medical University, Weifang, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China,
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China,
| | - Chen Wang
- Department of General Practice, School of General Practice and Continuing Education, Capital Medical University, Beijing, China, .,Department of General Practice, Beijing Tiantan Hospital, Capital Medical University, Beijing, China,
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Wang A, Sun Y, Liu X, Su Z, Li J, Luo Y, Chen S, Wang J, Li X, Zhao Z, Zhu H, Wu S, Guo X. Erratum to: Changes in proteinuria and the risk of myocardial infarction in people with diabetes or pre-diabetes: a prospective cohort study. Cardiovasc Diabetol 2017; 16:117. [PMID: 28927413 PMCID: PMC5606022 DOI: 10.1186/s12933-017-0597-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 09/07/2017] [Indexed: 11/14/2022] Open
Affiliation(s)
- Anxin Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yang Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xiaoxue Liu
- Department of Cardiology, Tangshan People's Hospital, North China University of Science and Technology, Tangshan, China
| | - Zhaoping Su
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Junjuan Li
- Department of Nephrology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, No. 57 Xinhua Road, Lubei District, Tangshan, 063000, China
| | - Jianli Wang
- Department of Rehabilitation, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, Australia
| | - Zhan Zhao
- University of Chinese Academy of Sciences, Beijing, China.,State Key Lab. of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China
| | - Huiping Zhu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, No. 57 Xinhua Road, Lubei District, Tangshan, 063000, China.
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, China. .,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
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