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He C, Zhu C, Fan H, Qian Y, Zhai C, Hu H. Low T3 syndrome predicts more adverse events in patients with hypertrophic cardiomyopathy. Clin Cardiol 2023; 46:1569-1577. [PMID: 37711064 PMCID: PMC10716344 DOI: 10.1002/clc.24156] [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: 03/15/2023] [Revised: 09/01/2023] [Accepted: 09/07/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Hypertrophic cardiomyopathy (HCM) is a common cardiac genetic disorder that clinically manifests with sudden death and progressive heart failure. Moreover, thyroid dysfunction is associated with increased cardiovascular morbidity and mortality risks. Therefore, this study aimed to clarify whether thyroid hormones could serve as an independent predictor of adverse events in patients with HCM. METHODS The cohort consisted of 782 patients with HCM who had thyroid hormones baseline data and were admitted to the Affiliated Hospital of Jiaxing University. Patients were divided into two groups according to serum levels of free triiodothyronine (fT3): the normal fT3 and low triiodothyronine (T3) syndrome groups. Low T3 syndrome was defined as fT3 < 2.43 pmol/L with a normal thyroid-stimulating hormone (TSH) level. Patients whose TSH levels were abnormally high or abnormally low were excluded from this study. The primary endpoint was the occurrence of sudden cardiac death (SCD) events, and the secondary endpoint was a composite of worsening heart failure (WHF) events, including heart failure death, cardiac decompensation, hospitalization for heart failure, and HCM-related stroke. The Kaplan-Meier and Cox regression were performed for the survival analysis. RESULTS After a median follow-up of 52 months, 75 SCD events and 134 WHF events were recorded. The Kaplan-Meier survival curves showed that the cumulative incidence of SCD events and WHF events were significantly higher in patients with low T3 syndrome (log-rank p = .02 and log-rank p = .001, respectively). Furthermore, multivariate Cox regression analysis demonstrated that low T3 syndrome is a strong predictor of SCD events and WHF events (adjusted hazard ratio [HR: 1.53, 95% confidence interval [CI]: 1.13-2.24, p < .01; HR: 3.87, 95% CI: 2.91-4.98, p < .001, respectively). CONCLUSIONS Low T3 syndrome is highly prevalent among patients with HCM and was independently associated with an increased risk of SCD events and WHF events. The routine assessment of serum fT3 levels may provide risk stratification in this population.
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Affiliation(s)
- Chao‐Jie He
- Department of CardiologyThe Affiliated Hospital of Jiaxing UniversityJiaxingZhejiangChina
| | - Chun‐Yan Zhu
- Department of AnesthesiologyThe Affiliated Hospital of Jiaxing UniversityJiaxingZhejiangChina
| | - Hong‐Yan Fan
- Department of CardiologyThe Affiliated Hospital of Jiaxing UniversityJiaxingZhejiangChina
| | - Ye‐Zhou Qian
- Department of CardiologyThe Affiliated Hospital of Jiaxing UniversityJiaxingZhejiangChina
| | - Chang‐Lin Zhai
- Department of CardiologyThe Affiliated Hospital of Jiaxing UniversityJiaxingZhejiangChina
| | - Hui‐Lin Hu
- Department of CardiologyThe Affiliated Hospital of Jiaxing UniversityJiaxingZhejiangChina
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2
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Zhao B, Li T, Fan Z, Yang Y, Shu J, Yang X, Wang X, Luo T, Tang J, Xiong D, Wu Z, Li B, Chen J, Shan Y, Tomlinson C, Zhu Z, Li Y, Stein JL, Zhu H. Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images. Science 2023; 380:abn6598. [PMID: 37262162 DOI: 10.1126/science.abn6598] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 04/11/2023] [Indexed: 06/03/2023]
Abstract
Cardiovascular health interacts with cognitive and mental health in complex ways, yet little is known about the phenotypic and genetic links of heart-brain systems. We quantified heart-brain connections using multiorgan magnetic resonance imaging (MRI) data from more than 40,000 subjects. Heart MRI traits displayed numerous association patterns with brain gray matter morphometry, white matter microstructure, and functional networks. We identified 80 associated genomic loci (P < 6.09 × 10-10) for heart MRI traits, which shared genetic influences with cardiovascular and brain diseases. Genetic correlations were observed between heart MRI traits and brain-related traits and disorders. Mendelian randomization suggests that heart conditions may causally contribute to brain disorders. Our results advance a multiorgan perspective on human health by revealing heart-brain connections and shared genetic influences.
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Affiliation(s)
- Bingxin Zhao
- Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Statistics, Purdue University, West Lafayette, IN 47907, USA
| | - Tengfei Li
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Zirui Fan
- Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Statistics, Purdue University, West Lafayette, IN 47907, USA
| | - Yue Yang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Juan Shu
- Department of Statistics, Purdue University, West Lafayette, IN 47907, USA
| | - Xiaochen Yang
- Department of Statistics, Purdue University, West Lafayette, IN 47907, USA
| | - Xifeng Wang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Tianyou Luo
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jiarui Tang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Di Xiong
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Zhenyi Wu
- Department of Statistics, Purdue University, West Lafayette, IN 47907, USA
| | - Bingxuan Li
- Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA
| | - Jie Chen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yue Shan
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Chalmer Tomlinson
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Ziliang Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yun Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jason L Stein
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Hongtu Zhu
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Park JB, Yun JY, Kim B, Rhee TM, Lee HJ, Lee H, Hwang IC, Yoon YE, Park HE, Lee SP, Choi SY, Kim YJ, Cho GY, Han K, Kim HK. Risk of incident mental disorders in hypertrophic cardiomyopathy: a nationwide propensity-matched study. Eur J Prev Cardiol 2023; 30:85-94. [PMID: 36348515 DOI: 10.1093/eurjpc/zwac260] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/16/2022] [Accepted: 11/03/2022] [Indexed: 11/10/2022]
Abstract
AIMS We sought to determine the risk of mental disorders in patients with hypertrophic cardiomyopathy (HCM) compared with those without HCM. METHODS AND RESULTS This is a retrospective propensity score-matched cohort study using nationwide population-based data from the Korean National Health Insurance Service. Overall, 4046 patients with HCM and 12138 matched individuals were followed up until the first diagnosis of mental disorders or the end of the follow up. The primary outcome was a composite of incident mood, anxiety, stress-related, or somatoform disorders. Secondary outcomes included two components of the primary outcome (i.e. mood disorders and anxiety/stress-related/somatoform disorders). During a median follow-up period of 4.1 years, the incidence rate of the primary outcome was 54.4 and 31.5/1000 person-years among the HCM and control groups, respectively, resulting in a hazard ratio (HR) of 1.719 (95% confidence interval: 1.589-1.860). Within the first month after HCM diagnosis, the HR for the primary outcome was 3.074 (2.096-4.508). Beyond 1 month, the HRs decreased, ranging from 2.281 (1.952-2.665) during 1-12 months, to 2.087 (1.831-2.380) during 12-36 months and 1.258 (1.090-1.452) after 36 months of follow up. Similar results were observed for the secondary outcomes. In sensitivity analysis, the risk of the specific categories of mental disorders, including single or recurrent depressive episodes and anxiety disorders, was also higher in patients with HCM than matched controls. CONCLUSION HCM was significantly associated with the risk of incident mental disorders, particularly within 1 year after HCM diagnosis, underscoring the importance of screening mental health problems, including mood and anxiety disorders, in patients with HCM.
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Affiliation(s)
- Jun-Bean Park
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
| | - Je-Yeon Yun
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.,Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Bongsung Kim
- Department of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Tae-Min Rhee
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
| | - Hyun-Jung Lee
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
| | - Heesun Lee
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Internal Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - In-Chang Hwang
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, South Korea
| | - Yeonyee E Yoon
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, South Korea
| | - Hyo Eun Park
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Internal Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seung-Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
| | - Su-Yeon Choi
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Internal Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yong-Jin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
| | - Goo-Yeong Cho
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, South Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Hyung-Kwan Kim
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
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Jin K. Using electronic health record data to improve understanding of the risk of mental disorders in patients diagnosed with hypertrophic cardiomyopathy. Eur J Prev Cardiol 2023; 30:82-84. [PMID: 36529915 DOI: 10.1093/eurjpc/zwac303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 12/13/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022]
Affiliation(s)
- Kai Jin
- Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, UK
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Asbeutah AAA, Ingram E, Mouksian K, Wilbanks D, Alexander J, Bath A, Salberg L, Jefferies JL. Psychological Symptoms and Physical Limitations With Hypertrophic Cardiomyopathy. Am J Cardiol 2022; 174:179-180. [PMID: 35504746 DOI: 10.1016/j.amjcard.2022.03.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 03/22/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Abdul Aziz A Asbeutah
- Department of Internal Medicine, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Eva Ingram
- Department of Internal Medicine, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Kristina Mouksian
- Department of Internal Medicine, University of Tennessee Health Science Center, Memphis, Tennessee
| | - David Wilbanks
- Department of Internal Medicine, University of Tennessee Health Science Center, Memphis, Tennessee
| | - John Alexander
- Department of Internal Medicine, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Anandbir Bath
- Division of Cardiology, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Lisa Salberg
- Hypertrophic Cardiomyopathy Association, Denville, New Jersey
| | - John L Jefferies
- The Cardiovascular Institute, University of Tennessee Health Science Center, Memphis, Tennessee
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He CJ, Zhai CL, Huang SD, Fan HY, Qian YZ, Zhu CY, Hu HL. Anxiety Predicts Poor Prognosis in Patients With Hypertrophic Cardiomyopathy. Front Cardiovasc Med 2022; 9:890506. [PMID: 35665258 PMCID: PMC9162169 DOI: 10.3389/fcvm.2022.890506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundHypertrophic cardiomyopathy (HCM) is the prevalent inherited cardiomyopathy and a major contributor to sudden death and heart failure in young adults. Although depression has been associated with poor prognosis in patients with cardiovascular disease, the relationship between anxiety and HCM clinical outcomes has not been addressed. We aimed to determine the prevalence of anxiety symptoms in patients with HCM and the association between anxiety and adverse prognosis in this population.MethodsA total of 793 patients with HCM were prospectively enrolled and followed up for a mean of 4.1 years from March 2014 to January 2018. The primary endpoint was sudden cardiac death (SCD) events, and the secondary endpoint was HCM-related heart failure events. Anxiety symptoms were assessed using the Hospital Anxiety and Depression Scale (HADS) during outpatient visits or hospital stays.ResultsElevated scores on the HADS anxiety subscale (HADS-A ≥ 8) were defined as clinically significant anxiety. SCD and HCM-related heart failure events occurred in 76 and 149 patients, respectively, during the follow-up period. Kaplan–Meier survival curves demonstrated the significant association of anxiety with SCD events (log-rank P = 0.012) and HCM-related heart failure events (log-rank P = 0.001). Multivariable Cox regression analysis showed anxiety as a predictor of SCD events and HCM-related heart failure events (adjusted hazard ratio [HR] = 1.42, 95% confidence interval [CI] = 1.12–2.04, P = 0.03; adjusted HR = 2.9,2 95% CI = 1.73–4.03, P < 0.001), independent of conventional risk factors and depression. Besides, patients with comorbid anxiety and depression showed a fourfold higher risk of heart failure events and 3.5-fold higher risk of SCD versus those with neither (adjusted HR = 4.08, 95% CI = 2.76–5.91, P < 0.001; adjusted HR = 3.52, 95% CI = 2.24–4.67, P < 0.001, respectively).ConclusionsAnxiety was prevalent among Chinese patients with HCM, and it was independently associated with a higher risk of SCD and HCM-related heart failure events, particularly when comorbid with depression. Psychological assessment and intervention should be considered to alleviate anxiety symptoms in this population.Clinical Trial Registrationhttp://www.chictr.org.cn, identifier: ChiCTR2000040759.
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Affiliation(s)
- Chao-Jie He
- Department of Cardiology, The Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Chang-Lin Zhai
- Department of Cardiology, The Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Shao-Dai Huang
- Department of Cardiology, The Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Hong-Yan Fan
- Department of Cardiology, The Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Ye-Zhou Qian
- Department of Cardiology, The Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Chun-Yan Zhu
- Department of Anesthesiology, The Affiliated Hospital of Jiaxing University, Jiaxing, China
- *Correspondence: Chun-Yan Zhu
| | - Hui-Lin Hu
- Department of Cardiology, The Affiliated Hospital of Jiaxing University, Jiaxing, China
- Hui-Lin Hu
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Hu HL, Chen H, Zhu CY, Yue X, Wang HW, Qian G, Zhai CL, He CJ. Association Between Depression and Clinical Outcomes in Patients With Hypertrophic Cardiomyopathy. J Am Heart Assoc 2021; 10:e019071. [PMID: 33834850 PMCID: PMC8174176 DOI: 10.1161/jaha.120.019071] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Background Hypertrophic cardiomyopathy (HCM) is considered to be the most common cause of sudden death in young people and is associated with an elevated risk of mood disorders. Depression has emerged as a critical risk factor for development and progression of coronary artery disease; however, the association between depression and HCM outcomes is less clear. We sought to examine the impact of depression on clinical outcomes in patients with HCM. Methods and Results Between January 2014 and December 2017, 820 patients with HCM were recruited and followed for an average of 4.2 years. End points were defined as sudden cardiac death (SCD) events and HCM‐related heart failure events. A Chinese version of the Structured Clinical Interview followed the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition and was used to diagnose depression. During the follow‐up period, SCD events occurred in 75 individuals (21.8 per 1000 person‐years), and HCM‐related heart failure events developed in 149 individuals (43.3 per 1000 person‐years). Kaplan–Meier cumulative incidence curves showed a significant association of depression disorders with SCD events (log‐rank P=0.001) and HCM‐related heart failure events (log‐rank P=0.005). A multivariate Cox regression analysis indicated that depression was an independent predictor of SCD events and HCM‐related heart failure events (41.9 versus 21.7 per 1000 person‐years; adjusted hazard ratio [HR], 1.9; 95% CI, 1.6–2.3; P<0.001; and 69.9 versus 38.6 per 1000 person‐years; HR, 1.8; 95% CI, 1.6–2.1; P<0.001, respectively). Conclusions Depression is common among patients with HCM. The diagnosis of depression is significantly and independently associated with an increased risk of SCD events and heart failure events in patients with HCM.
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Affiliation(s)
- Hui-Lin Hu
- Department of Cardiology The First Hospital of Jiaxing The Affiliated Hospital of Jiaxing University Jiaxing Zhejiang China
| | - Hao Chen
- Department of Cardiology The First Hospital of Jiaxing The Affiliated Hospital of Jiaxing University Jiaxing Zhejiang China
| | - Chun-Yan Zhu
- Department of Anesthesiology The First Hospital of Jiaxing The Affiliated Hospital of Jiaxing University Jiaxing Zhejiang China
| | - Xin Yue
- Department of Cardiology The First Hospital of Jiaxing The Affiliated Hospital of Jiaxing University Jiaxing Zhejiang China
| | - Hua-Wei Wang
- Department of Cardiology The First Hospital of Jiaxing The Affiliated Hospital of Jiaxing University Jiaxing Zhejiang China
| | - Gang Qian
- Department of Cardiology The First Hospital of Jiaxing The Affiliated Hospital of Jiaxing University Jiaxing Zhejiang China
| | - Chang-Lin Zhai
- Department of Cardiology The First Hospital of Jiaxing The Affiliated Hospital of Jiaxing University Jiaxing Zhejiang China
| | - Chao-Jie He
- Department of Cardiology The First Hospital of Jiaxing The Affiliated Hospital of Jiaxing University Jiaxing Zhejiang China
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