Dataset Information

Identifying different phenotypes in takotsubo cardiomyopathy by latent class analysis.

ABSTRACT:

Aims

This study sought to determine whether clinical clusters exist in takotsubo cardiomyopathy. Takotsubo cardiomyopathy (TCM) is a heterogeneous disorder with a complex, poorly understood pathogenesis. To better understand the heterogeneity of TCM, we identified different clinical phenotypes in a large sample of TCM patients by using latent class analysis (LCA).

Methods and results

Using the National Inpatient Sample (NIS) database, we identified 3139 patients admitted to hospitals in 2016-2017 with a primary diagnosis of TCM. We performed LCA based on several patient demographics and comorbidities: age, sex, hypertension, hyperlipidaemia, diabetes mellitus, obesity, current smoking, asthma, chronic obstructive pulmonary disease (COPD), and anxiety and depressive disorders. We then repeated LCA separately with the NIS 2016 and 2017 data sets and performed a robust test to validate our results. We also compared in-hospital outcomes among the different clusters identified by LCA. Four patient clusters were identified. C1 (n = 1228, 39.4%) had the highest prevalence of hyperlipidaemia (93.4%), hypertension (61.6%), and diabetes (34.3%). In C2 (n = 440, 14.0%), all patients had COPD, and many were smokers (45.8%). C3 (n = 376, 11.8%) largely comprised patients with anxiety disorders (98.4%) and depressive disorders (80.1%). C4 (n = 1097, 34.8%) comprised patients with isolated TCM and few comorbidities. Among all clusters, C1 had the lowest in-hospital mortality (1.0%) and the shortest length of stay (3.2 ± 3.1 days), whereas C2 had the highest in-hospital mortality (3.4%).

Conclusions

Using LCA, we identified four clinical phenotypes of TCM. These may reflect different pathophysiological processes in TCM. Our findings may help identify treatment targets and select patients for future clinical trials.

SUBMITTER: Li P

PROVIDER: S-EPMC7835582 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Publications

Identifying different phenotypes in takotsubo cardiomyopathy by latent class analysis.

Li Pengyang P Dai Qiying Q Cai Peng P Teng Catherine C Pan Su S Dixon Richard A F RAF Liu Qi Q

ESC heart failure 20201126 1

<h4>Aims</h4>This study sought to determine whether clinical clusters exist in takotsubo cardiomyopathy. Takotsubo cardiomyopathy (TCM) is a heterogeneous disorder with a complex, poorly understood pathogenesis. To better understand the heterogeneity of TCM, we identified different clinical phenotypes in a large sample of TCM patients by using latent class analysis (LCA).<h4>Methods and results</h4>Using the National Inpatient Sample (NIS) database, we identified 3139 patients admitted to hospit ...[more]

PMID: 33244882

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Project description:BACKGROUND: Takotsubo cardiomyopathy is a novel, yet well-described, reversible cardiomyopathy triggered by profound psychological or physical stress with a female predominance. OBJECTIVE: This review is designed to increase general clinician awareness about the diagnosis, incidence, pathogenesis, and therapies of this entity. DATA SOURCES: A complete search of multiple electronic databases (Pubmed, EMBASE, Science Citation Index) was carried out to identify all full-text, English-language articles published from 1980 to the present date and relevant to this review. REVIEW METHODS: The following search terms were used: takotsubo cardiomyopathy, stress-induced cardiomyopathy, and left ventricular apical ballooning syndrome. Citation lists from identified articles were subsequently reviewed and pertinent articles were further identified. RESULTS: Takotsubo cardiomyopathy is typically characterized by the following: 1) acute onset of ischemic-like chest pain or dyspnea, 2) transient apical and mid-ventricular regional wall-motion abnormality, 3) minor elevation of cardiac biomarkers, 4) dynamic electrocardiographic changes, and 5) the absence of epicardial coronary artery disease. The pathogenesis of the syndrome is unknown but has mostly been associated with acute emotional or physiologic stressors. Dote, Sato, Tateishi, Uchida, Ishihara (J Cardiol. 21(2):203-214, 1991); Desmet, Adriaenssens, Dens (Heart. 89(9):1027-1031, Sep., 2003); Bybee, Kara, Prasad, et al. (Ann Intern Med. 141(11):858-865, Dec 7, 2004); Sharkey, Lesser, Zenovich, et al. (Circulation. 111(4):472-479, Feb 1, 2005) The short and long-term prognosis of these patients is overwhelmingly favorable and often only requires supportive therapy. CONCLUSION: Whether an emotional or physical event precedes one's symptoms, it is apparent that takotsubo cardiomyopathy case presentations mimic ST-segment elevation myocardial infarction, and thus is an important entity to be recognized by the medical community.

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Project description:ObjectiveIn the absence of adequate nationally-representative empirical evidence on multimorbidity, the existing healthcare delivery system is not adequately oriented to cater to the growing needs of the older adult population. Therefore, the present study identifies frequently occurring multimorbidity patterns among older adults in India. Further, the study examines the linkages between the identified patterns and socioeconomic, demographic, lifestyle and anthropometric correlates.DesignThe present findings rest on a large nationally-representative sample from a cross-sectional study.Setting and participantsThe study used data on 58 975 older adults (45 years and older) from the Longitudinal Ageing Study in India, 2017-2018.Primary and secondary outcome measuresThe study incorporated a list of 16 non-communicable diseases to identify commonly occurring patterns using latent class analysis. The study employed multinomial logistic regression models to assess the association between identified disease patterns with unit-level socioeconomic, demographic, lifestyle and anthropometric characteristics.ResultsThe present study demonstrates that older adults in the country can be segmented into six patterns: 'relatively healthy', 'hypertension', 'gastrointestinal disorders-hypertension-musculoskeletal disorders', 'musculoskeletal disorders-hypertension-asthma', 'metabolic disorders' and 'complex cardiometabolic disorders'. Additionally, socioeconomic, demographic, lifestyle and anthropometric factors are significantly associated with one or more identified disease patterns.ConclusionsThe identified classes 'hypertension', 'metabolic disorders' and 'complex cardiometabolic disorders' reflect three stages of cardiometabolic morbidity with hypertension as the first and 'complex cardiometabolic disorders' as the last stage of disease progression. This underscores the need for effective prevention strategies for high-risk hypertension group. Also, targeted interventions are essential to reduce the burden on the high-risk population and provide equitable health services at the community level.

Dataset Information

Identifying different phenotypes in takotsubo cardiomyopathy by latent class analysis.

Aims

Methods and results

Conclusions

Publications

Identifying different phenotypes in takotsubo cardiomyopathy by latent class analysis.

Similar Datasets

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