Abstract
Background: This study aimed to analyze trends in the burden of myocarditis in the Chinese population during 1990-2019.
Methods: The Global Burden of Disease (GBD) database aims to assess the burden of various diseases and injuries on a global scale, and the contribution of relevant risk factors to the burden of disease was also included. In this study, we collected age-standardized incidence and mortality rates for myocarditis in China from 1990 to 2019 using GBD 2019. The age–period–cohort model was utilized to calculate local drift, longitudinal age patterns, as well as the ratios of period and cohort.
Results: The age-standardized incidence and mortality rates of myocarditis in both men and women presented a decreasing trend during 1990-2019 [average annual percentage change (AAPC) of men = −0.202 (95% CI: −0.213 to −0.191); AAPC of women = −0.263 (95% CI: −0.27 to −0.256) for incidence; AAPC of men = −0.233 (95% CI: −0.371 to −0.094); AAPC of women = −0.872 (95% CI: −1.112 to −0.631) for mortality]. Longitudinal age curves showed that myocarditis incidence and mortality rates elevated with age among individuals aged 15-95+ years, with a higher growth rate in men than in women. The period and cohort ratios for both men and women showed similar decreasing trends. Local drift values for the incidence and mortality rates of myocarditis showed an increasing trend among individuals aged 70-75 years and above.
Conclusion: Although the overall burden of myocarditis in China presented a decreasing trend during 1990-2019, the male and elderly populations still have a higher risk of incidence and mortality. Therefore, it is essential for the health-care system to introduce effective prevention and treatment measures for myocarditis.
Highlights
- The burden of myocarditis in China was analyzed for the first time using an age–period–cohort model.
- From 1990 to 2019, the burden of myocarditis in China showed an overall decreasing trend.
- Myocarditis posed a significant risk to Chinese men and the elderly population.
Introduction
Myocarditis is a major inflammatory heart disease, primarily induced by viruses but can also be triggered by drugs and systemic immune-mediated diseases, leading to severe cardiac damage and acute heart failure.1,
According to discharge records from 1990 to 2013, Global Burden of Disease (GBD) study estimated an annual incidence of approximately 22 cases of myocarditis per 100 000 patients worldwide.10 All data on myocarditis hospitalizations in the National Health Service (NHS) of England from 1998 to 2017 showed that during the 19 years, 12 927 hospitalizations with myocarditis as the primary diagnosis accounted for 0.04% (36.5/100 000) of all NHS hospitalizations, with about 2/3 of patients being male, and a median age of 33 years for males and 46 years for females, and a median hospital stay of 4.2 days. Over the study period, hospitalizations due to myocarditis increased by 88% (57% increase in all cardiac hospitalizations),11 suggesting an added burden of hospitalizations from myocarditis. However, there is limited accurate information on the incidence and mortality trends of myocarditis for the entire Chinese population. A recent study based on GBD 2016 data reported an age-standardized incidence rate (ASIR) of 32.8 (per 100 000 individuals) for myocardial disease and myocarditis in China in 2016, an increase of 23.1% compared to 1990.12 To our knowledge, there is currently no study that has applied age–period–cohort model to delineate the incidence and mortality trends of myocarditis in China. This study intended to use GBD 2019 data and age–period–cohort model to analyze the trends in the burden of myocarditis in China. This may lay the groundwork for public health policies, resource allocation, and the design of intervention plans.
Methods
Data Sources
All anonymous incidence and mortality data related to myocarditis in China during 1990-2019 were downloaded from the latest GBD database (GBD 2019,
Statistical Analysis
Joinpoint Regression Analysis
To evaluate trends in the disease burden attributable to myocarditis over time, we conducted Joinpoint regression analysis. The calculation method of this model used the least squares method to estimate changing patterns of disease rates, avoiding subjectivity of typical trend analysis on the basis of linear trends. The sum of squares of residuals between estimated and true values can be used to identify the inflection point of a shifting trend. We utilized Joinpoint software (version 4.9.1.0; National Cancer Institute, Rockville, Md, USA) to calculate the annual percentage change (APC) and average annual percentage change (AAPC), along with their corresponding 95% CI, to determine the trends in disease burden. We assessed the fluctuation trends in different sections by comparing APC/AAPC with 0 to determine statistical significance (
Age–Period–Cohort Analysis
The age–period–cohort model was utilized to explain effects of age, period, and cohort on the incidence and mortality rates of myocarditis, with data analysis performed by APC online web tool (
We coded age, period, and cohort into data with continuous 5-year intervals. Age was divided into 17 groups. Due to the absence of relevant data in the GBD 2019 database for age groups below 15 years old, our study’s data start from 15 to 9 years, 20 to 24 years, and so on, up to 95+ years (where individuals aged 95 and above were grouped together). Period was divided into 6 groups (1990-1994, 1995-1999, ..., 2015-2019). Twenty-two birth cohorts (1895-1899, 1900-1904, ..., 1995-2000) were obtained based on age and period. The logarithmic linear model for the APC model is as follows:13,
where,
GraphPad (Prism 9.1.0) and R software (version 3.5.1) were used to conduct the statistical analysis.
Results
Trends in Age-Standardized Incidence Rate and Age-Standardized Mortality Rate of Myocarditis in China over Time
During 1990-2019, the ASIR of myocarditis in Chinese males and females remained relatively stable, with a slight decrease in 2006-2009, followed by stabilizing. The incidence was consistently higher in males than in females, and this trend remained consistent (
During 1990-2019, ASMR of myocarditis in Chinese males and females elevated annually from 1990 to 2005, peaked in 2005 and then decreased annually. Age-standardized mortality rate was generally higher in males than in females (
Joinpoint Regression Analysis of Age-Standardized Incidence Rate and Age-Standardized Mortality Rate of Myocarditis in Chinese Males and Females During 1990-2019
Effects of Age, Period, and Cohort on Age-Standardized Incidence Rate and Age-Standardized Mortality Rate of Myocarditis in China
Discussion
This study investigated changes in myocarditis burden in China over the past 3 decades, focusing on gender and age. We found that during 1990-2019, myocarditis incidence in China remained stable, with no discernible decrease, while the mortality rate decreased annually from 2005 onward. This suggests that the burden of myocarditis in China is still high, and it is necessary for us to have a more comprehensive understanding of the differences in myocarditis by gender and age and to increase our focus on its prevention and treatment.
Regarding gender, this study showed that myocarditis incidence and mortality were generally higher in males than in females. This is highly consistent with the findings of Yu et al15 in their study on myocarditis burden in China. Moreover, several other studies have shown that incidence rate of myocarditis is significantly higher in males than in females, accounting for 71%-86% of total cases.16,
To our knowledge, this study is the first to examine the trend of myocarditis in China using an age–period–cohort model. Age effects refer to changes in disease rates with age and are important determinants of disease occurrence. Myocarditis occurs in all age groups, with median age of onset being 30-45 years.6,
This study revealed a general trend toward a lessening influence of period and cohort effects on the incidence and death rates of myocarditis in China. Several factors, including measures to improve the timely diagnosis and treatment of myocarditis, may be a contributing factor to the decrease in the burden of myocarditis disease. The mortality rate is showing a downward trend, partly due to improvements in myocarditis treatment and an increase in the level of medical intervention.28,
Study Limitations
In spite of the progress, there are still several limitations. First off, biases resulting from missing data may be challenging to prevent, even though GBD 2019 has modified and adjusted data sources and collection evaluation methods to increase data quality. Due to different diagnostic criteria, statistical errors in the data appear to be unavoidable within the standards for including cases. Secondly, this study did not classify the burden of myocarditis according to etiology, such as viral myocarditis or immunotherapy-related myocarditis. Finally, we should also take other factors like environmental exposure, economic development level, and educational attainment into account in addition to the impacts of age, period, cohort, and gender.
Conclusion
In summary, the burden of myocarditis in China generally demonstrated a declining trend between 1990 and 2019, but the incidence rate remained high, posing a threat to people’s health and lives. In addition, the burden of myocarditis in male and elderly populations needs more attention. Therefore, relevant departments should take more proactive measures to reduce the burden of myocarditis, such as unifying diagnostic standards and exploring effective specific treatment methods.
Data Availability Statement
The datasets generated and analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.
Footnotes
References
- Hu JR, Florido R, Lipson EJ. Cardiovascular toxicities associated with immune checkpoint inhibitors. Cardiovasc Res. 2019;115(5):854-868. https://doi.org/10.1093/cvr/cvz026
- Caforio ALP, Adler Y, Agostini C. Diagnosis and management of myocardial involvement in systemic immune-mediated diseases: a position statement of the European Society of Cardiology Working Group on Myocardial and Pericardial Disease. Eur Heart J. 2017;38(35):2649-2662. https://doi.org/10.1093/eurheartj/ehx321
- Caforio AL, Calabrese F, Angelini A. A prospective study of biopsy-proven myocarditis: prognostic relevance of clinical and aetiopathogenetic features at diagnosis. Eur Heart J. 2007;28(11):1326-1333. https://doi.org/10.1093/eurheartj/ehm076
- Cooper LT. Myocarditis. N Engl J Med. 2009;360(15):1526-1538. https://doi.org/10.1056/NEJMra0800028
- Ammirati E, Cipriani M, Moro C. Clinical presentation and outcome in a contemporary cohort of patients with acute myocarditis: multicenter Lombardy registry. Circulation. 2018;138(11):1088-1099. https://doi.org/10.1161/CIRCULATIONAHA.118.035319
- Aquaro GD, Perfetti M, Camastra G. Cardiac MR with late gadolinium enhancement in acute myocarditis with preserved systolic function: ITAMY study. J Am Coll Cardiol. 2017;70(16):1977-1987. https://doi.org/10.1016/j.jacc.2017.08.044
- Younis A, Matetzky S, Mulla W. Epidemiology characteristics and outcome of patients with clinically diagnosed acute myocarditis. Am J Med. 2020;133(4):492-499. https://doi.org/10.1016/j.amjmed.2019.10.015
- White JA, Hansen R, Abdelhaleem A. Natural history of myocardial injury and chamber remodeling in acute myocarditis. Circ Cardiovasc Imaging. 2019;12(7):e008614-. https://doi.org/10.1161/CIRCIMAGING.118.008614
- Liu P, Martino T, Opavsky MA, Penninger J. Viral myocarditis: balance between viral infection and immune response. Can J Cardiol. 1996;12(10):935-943.
- . Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386(9995):743-800. https://doi.org/10.1016/S0140-6736(15)60692-4
- Lota AS, Halliday B, Tayal U. Epidemiological trends and outcomes of acute myocarditis in the national health service of England. Circulation. 2019;140():A11463-A-.
- Liu S, Li Y, Zeng X. Burden of cardiovascular diseases in China, 1990-2016: findings from the 2016 global burden of disease study. JAMA Cardiol. 2019;4(4):342-352. https://doi.org/10.1001/jamacardio.2019.0295
- Luo L. Assessing validity and application scope of the intrinsic estimator approach to the age-period-cohort problem. Demography. 2013;50(6):1945-1967. https://doi.org/10.1007/s13524-013-0243-z
- Dhamnetiya D, Patel P, Jha RP, Shri N, Singh M, Bhattacharyya K. Trends in incidence and mortality of tuberculosis in India over past three decades: a joinpoint and age-period-cohort analysis. BMC Pulm Med. 2021;21(1):375-. https://doi.org/10.1186/s12890-021-01740-y
- Yu JP, Wang ML, Xu Y, Zhang JS, Wan J. A study on the burden of myocarditis in China in 1990 and 2019. Zhonghua Nei Ke Za Zhi. 2022;61(11):1247-1252. https://doi.org/10.3760/cma.j.cn112138-20211115-00812
- Lampejo T, Durkin SM, Bhatt N, Guttmann O. Acute myocarditis: aetiology, diagnosis and management. Clin Med (Lond). 2021;21(5):e505-e510. https://doi.org/10.7861/clinmed.2021-0121
- Perez Y, Levy ER, Joshi AY. Myocarditis following coronavirus disease 2019 mRNA vaccine: A case series and incidence rate determination. Clin Infect Dis. 2022;75(1):e749-e754. https://doi.org/10.1093/cid/ciab926
- McNamara DM, Starling RC, Cooper LT. Clinical and demographic predictors of outcomes in recent onset dilated cardiomyopathy: results of the IMAC (Intervention in Myocarditis and Acute Cardiomyopathy)-2 study. J Am Coll Cardiol. 2011;58(11):1112-1118. https://doi.org/10.1016/j.jacc.2011.05.033
- Fairweather D, Frisancho-Kiss S, Rose NR. Viruses as adjuvants for autoimmunity: evidence from coxsackievirus-induced myocarditis. Rev Med Virol. 2005;15(1):17-27. https://doi.org/10.1002/rmv.445
- Huber SA, Job LP, Auld KR. Influence of sex hormones on Coxsackie B-3 virus infection in BALB/c mice. Cell Immunol. 1982;67(1):173-179. https://doi.org/10.1016/0008-8749(82)90210-6
- Li Z, Yue Y, Xiong S. Distinct Th17 inductions contribute to the gender bias in CVB3-induced myocarditis. Cardiovasc Pathol. 2013;22(5):373-382. https://doi.org/10.1016/j.carpath.2013.02.004
- Frisancho-Kiss S, Nyland JF, Davis SE. Sex differences in coxsackievirus B3-induced myocarditis: il-12Rbeta1 signaling and IFN-gamma increase inflammation in males independent from STAT4. Brain Res. 2006;1126(1):139-147. https://doi.org/10.1016/j.brainres.2006.08.003
- Frisancho-Kiss S, Coronado MJ, Frisancho JA. Gonadectomy of male BALB/c mice increases Tim-3(+) alternatively activated M2 macrophages, Tim-3(+) T cells, Th2 cells and Treg in the heart during acute coxsackievirus-induced myocarditis. Brain Behav Immun. 2009;23(5):649-657. https://doi.org/10.1016/j.bbi.2008.12.002
- Gräni C, Eichhorn C, Bière L. Prognostic value of cardiac magnetic resonance tissue characterization in risk stratifying patients with suspected myocarditis. J Am Coll Cardiol. 2017;70(16):1964-1976. https://doi.org/10.1016/j.jacc.2017.08.050
- Oster ME, Shay DK, Su JR. Myocarditis cases reported after mRNA-based COVID-19 vaccination in the US from December 2020 to August 2021. JAMA. 2022;327(4):331-340. https://doi.org/10.1001/jama.2021.24110
- Forman DE, Maurer MS, Boyd C. Multimorbidity in older adults with cardiovascular disease. J Am Coll Cardiol. 2018;71(19):2149-2161. https://doi.org/10.1016/j.jacc.2018.03.022
- Fung G, Luo H, Qiu Y, Yang D, McManus B. Myocarditis. Circ Res. 2016;118(3):496-514. https://doi.org/10.1161/CIRCRESAHA.115.306573
- Friedrich MG, Sechtem U, Schulz-Menger J. Cardiovascular magnetic resonance in myocarditis: a JACC White Paper. J Am Coll Cardiol. 2009;53(17):1475-1487. https://doi.org/10.1016/j.jacc.2009.02.007
- Wang YW, Liu RB, Huang CY. Global, regional, and national burdens of myocarditis, 1990-2019: systematic analysis from GBD 2019: GBD for myocarditis. BMC Public Health. 2023;23(1):714-. https://doi.org/10.1186/s12889-023-15539-5
- Morgera T, Di Lenarda A, Dreas L. Electrocardiography of myocarditis revisited: clinical and prognostic significance of electrocardiographic changes. Am Heart J. 1992;124(2):455-467. https://doi.org/10.1016/0002-8703(92)90613-z
- Ferreira VM, Schulz-Menger J, Holmvang G. Cardiovascular magnetic resonance in nonischemic myocardial inflammation: expert recommendations. J Am Coll Cardiol. 2018;72(24):3158-3176. https://doi.org/10.1016/j.jacc.2018.09.072
- Hundley WG, Bluemke DA. ACCF/ACR/AHA/NASCI/SCMR 2010 expert consensus document on cardiovascular magnetic resonance: a report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. Circulation. 2010;121(22):2462-2508. https://doi.org/10.1161/CIR.0b013e3181d44a8f
- Gutberlet M, Spors B, Thoma T. Suspected chronic myocarditis at cardiac MR: diagnostic accuracy and association with immunohistologically detected inflammation and viral persistence. Radiology. 2008;246(2):401-409. https://doi.org/10.1148/radiol.2461062179