Hyperthyroidism and cardiovascular disease: an association study using big data analytics

Iglesias, Pedro; Benavent, María; López, Guillermo; Arias, J.R.; Romero, Iria; Díez, Juan J.

doi:10.1007/s12020-023-03482-9

Cited by 5 publications

(4 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hyperthyroidism is associated with decreased TC, LDL-C, Lp (a), Apo B, and HDL-C serum concentration ( 7 ). It is prudent to remember that despite lower levels of the majority of proatherogenic lipid particles, hyperthyroidism is still associated with an increased cardiovascular risk ( 15 ). The treatment of overt hyperthyroidism is associated with a reversal of the observed changes – mainly an increase in TC, LDL-C, and HDL-C.…”

Section: Thyroidmentioning

confidence: 99%

Lipoprotein alterations in endocrine disorders - a review of the recent developments in the field

Olejarz,

Szczepanek-Parulska,

Ruchala

2024

Front. Endocrinol.

View full text Add to dashboard Cite

Dyslipidemia is one of the most common disorders worldwide, which, if left untreated, results in a multitude of complications. Thus proper diagnostics, which includes identifying of secondary causes of dyslipidemia is crucial. Endocrine disorders are an important cause of secondary dyslipidemia. This paper aims to review the publications on lipoprotein alterations in endocrine disorders from the past two years and provide an overview of the recent discoveries in this dynamically developing and large field. Significant changes in lipoprotein serum concentrations are present in most endocrinological diseases and can be modified with proper treatment. Some lipoproteins have also been proposed as markers in some endocrine diseases, e.g., thyroid carcinoma. From the scope of endocrine disorders, the largest number of studies explored the lipoprotein changes in polycystic ovary syndrome and in women during the menopausal and peri-menopausal period. Even though the association of thyroid disorders with dyslipidemia is already well studied, new research has delivered some exciting findings about lipoprotein alterations in euthyroid patients with either positive antithyroid peroxidase antibodies or reduced sensitivity to thyroid hormones. The problem of the adverse metabolic profile, including dyslipidemia in hypoprolactinemia has been recognized. Moreover, this review describes other significant discoveries encompassing lipoprotein alterations in disorders of the adrenals, thyroid, parathyroid glands, pituitary, and gonads. The up-to-date knowledge of the influence of endocrine disorders and hormonal changes on serum lipoproteins is prudent as it can significantly impact therapeutic decisions.

show abstract

Section: Thyroidmentioning

confidence: 99%

Lipoprotein alterations in endocrine disorders - a review of the recent developments in the field

Olejarz,

Szczepanek-Parulska,

Ruchala

2024

Front. Endocrinol.

View full text Add to dashboard Cite

show abstract

“…One of the most important methods employed in the past few years to establish large-scale correlations in the study of various cardiovascular disorders is big data analysis [ 6 , 7 , 8 ], which has been, as of late, complemented by artificial intelligence tools [ 9 , 10 ]. Cardiovascular disorders are one of the areas in which big data analysis has been extensively used in the last few years, through the employment of predictive frameworks [ 11 , 12 , 13 ], to detect correlations with other, non-cardiovascular pathologies [ 14 ], predict the risk of cardiovascular disorders, etc. The authors of one such study attempted to evaluate the genes associated with the risk of myocardial infarction, with 28 genes that increase overall risk being found, including PAI-1, CX-37, IL-18, LTA, LGALS2, LDLR, and APOA5 [ 15 ].…”

Section: Editorialmentioning

confidence: 99%

Molecular Study of Sudden Cardiac Death

Hostiuc

2024

IJMS

View full text Add to dashboard Cite

show abstract

“…Once the data were adapted to the respective data model, a baseline processing of Savana's patented clinical NLP pipeline, EHRead ® technology, was executed to detect clinically relevant information in the free text section of the provided EHRs. EHRead ® Technology is a complex cNLP pipeline combining a rich set of NLP techniques in a big data processing pipeline and has been successfully applied in a wide range of real-world evidence studies [14][15][16][17][18]27]. The outcome of the baseline processing is a structured database in which clinically relevant information extracted from the EHRs' free text was added to the information coming from structured data sources.…”

Section: Data Extraction and Clinical Nlp Processingmentioning

confidence: 99%

“…In recent years there has been a growing interest in using artificial intelligence (AI) tools that can extract valuable information from the large amount of data generated in healthcare centers [14][15][16][17][18]. Most of the clinical information in electronic health records (EHRs) is in free text and, due to the large number of data, is poorly accessible by traditional manual review.…”

Section: Introductionmentioning

confidence: 99%

Primary Hyperparathyroidism and Cardiovascular Disease: An Association Study Using Clinical Natural Language Processing Systems and Big Data Analytics

Iglesias,

Arias,

López

et al. 2023

JCM

Self Cite

View full text Add to dashboard Cite

Primary hyperparathyroidism (PHPT) seems to be associated with different cardiovascular diseases (CVDs). We evaluated the association of PHPT with major CV risk factors (CVRFs) and CVDs by using artificial intelligence (AI) tools. An observational and retrospective study was conducted using data from the electronic health records (EHRs) of the Hospital Universitario Puerta de Hierro Majadahonda (Spain). Of a total of 699,157 patients over 18 years of age studied (54.7% females), 6515 patients (0.9%; 65.4% women; mean age 67.6 ± 15.9 years) had a diagnosis of PHPT. The overall frequencies of hypertension, dyslipidemia, diabetes mellitus, and smoking habit in the cohort of patients with PTHP were all significantly (p < 0.001) higher than those found in patients without a diagnosis of PTHP. The total frequency of stroke, ischemic heart disease, atrial fibrillation, deep vein thrombosis, and pulmonary embolism in the cohort of PHPT patients were significantly (p < 0.001) higher than that found in patients without the diagnosis of PHPT. A multivariate regression analysis showed that PHPT was significantly (p < 0.001) and independently associated with all the CVDs evaluated. Our data show that there is a significant association between the diagnosis of PHPT and the main CVRFs and CVDs in our hospital population.

show abstract

Hyperthyroidism and cardiovascular disease: an association study using big data analytics

Cited by 5 publications

References 48 publications

Lipoprotein alterations in endocrine disorders - a review of the recent developments in the field

Lipoprotein alterations in endocrine disorders - a review of the recent developments in the field

Molecular Study of Sudden Cardiac Death

Primary Hyperparathyroidism and Cardiovascular Disease: An Association Study Using Clinical Natural Language Processing Systems and Big Data Analytics

Contact Info

Product

Resources

About