A Comparison of Sonographic Thyroid Nodule Risk Stratification Systems in an Unselected Cohort

Abstract Background Recently, the European Society of Cardiology (ESC) and European Association for the Society of Diabetes (EASD) introduced a new cardiovascular disease (CVD) risk stratification model to aid further treatment decisions in individuals with diabetes. Our study aimed to investigate the prognostic performance of the ESC/EASD risk model in comparison to the Systematic COronary Risk Evaluation (SCORE) risk model and N-terminal pro-B-type natriuretic peptide (NT-proBNP) in an unselected cohort of type 2 diabetes mellitus (T2DM). Methods and results A total of 1690 T2DM patients with a 10-year follow up for fatal CVD and all-cause death and a 5-year follow up for CVD and all-cause hospitalizations were analyzed. According to ESC/EASD risk criteria 25 (1.5%) patients were classified as moderate, 252 (14.9%) high, 1125 (66.6%) very high risk and 288 (17.0%) were not classifiable. Both NT-proBNP and SCORE risk model were associated with 10-year CVD and all-cause death and 5-year CVD and all-cause hospitalizations while the ESC/EASD model was only associated with 10-year all-cause death and 5-year all-cause hospitalizations. NT-proBNP and SCORE showed significantly higher C-indices than the ESC/EASD risk model for CVD death [0.80 vs. 0.53, p < 0.001; 0.64 vs. 0.53, p = 0.001] and all-cause death [0.73, 0.66 vs. 0.52, p < 0.001 for both]. The performance of SCORE improved in a subgroup without CVD aged 40–64 years compared to the unselected cohort, while NT-proBNP performance was robust across all groups. Conclusion The new introduced ESC/EASD risk stratification model performed limited compared to SCORE and single NT-proBNP assessment for predicting 10-year CVD and all-cause fatal events in individuals with T2DM.

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Interest of researchers in ultrasound systems for risk stratification of thyroid nodules (TIRADS): a systematic review

Clinical and Translational Imaging ◽

10.1007/s40336-021-00472-7 ◽

2021 ◽

Author(s):

Pierpaolo Trimboli ◽

Giulia Ferrarazzo ◽

Maurilio Deandrea ◽

Chiara Camponovo ◽

Francesco Romanelli ◽

...

Keyword(s):

Systematic Review ◽

Risk Stratification ◽

Thyroid Nodule ◽

Geographic Distribution ◽

Selection Criteria ◽

Thyroid Nodules ◽

Search Algorithm ◽

Data System ◽

Number Of Publications ◽

Specific Search

Abstract Background A number of ultrasound risk stratification systems (RSSs) of thyroid nodule, often labeled as TIRADS (Thyroid Imaging Reporting and Data System), have been proposed. As a consequence, an increasing number of studies have been published on this topic. This systematic review was undertaken to answer specific questions in this field: how many articles and what type of studies have been published, which TIRADSs/RSSs have preferably been discussed, and what is the geographic distribution of the publications. Methods The study was conducted according to PRISMA. A specific search algorithm was used. Defined selection criteria were applied. Results 502 studies were finally included. The number of publications about TIRADSs/RSSs has increased over the time, being the Horvath TIRADS the most evaluated one. The first author of the article was from China in one fourth of cases. Conclusions The number of scientific articles focused on TIRADSs/RSSs is high and it has been importantly increased over the time.

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Performance of NT-proBNP as a single biomarker in comparison to SCORE and the recommended ESC/EASD cardiovascular risk stratification model for risk prediction in type 2 diabetes mellitus

10.21203/rs.3.rs-58028/v1 ◽

2020 ◽

Author(s):

Suriya Prausmüller ◽

Michael Resl ◽

Henrike Arfsten ◽

Georg Spinka ◽

Raphael Wurm ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Risk Stratification ◽

Risk Model ◽

Risk Stratification Model ◽

Score Risk ◽

Unselected Cohort

Abstract Background. Recently, the European Society of Cardiology (ESC) and European Association for the Society of Diabetes (EASD) introduced a new cardiovascular (CV) risk stratification model to aid further treatment decisions in individuals with diabetes. Our study aimed to investigate the prognostic performance of NT-proBNP and the Systematic COronary Risk Evaluation (SCORE) compared to the ESC/EASD risk model in an unselected cohort of type 2 diabetes mellitus (T2DM).Methods & Results. A total of 1690 T2DM patients with a 10-year follow up for fatal CV and all-cause death and a 5-year follow up for CV and all-cause hospitalizations were analyzed. According to ESC/EASD risk criteria 25 (1.5%) patients were classified as moderate, 252 (14.9%) high, 1125 (66.6%) very high risk and 288 (17.0%) were not classifiable. NT-proBNP, the ESC/EASD and SCORE risk model were all associated with 10-year CV and all-cause death and 5-year CV and all-cause hospitalizations. NT-proBNP showed significantly higher C-indices than the ESC/EASD and SCORE risk model for CV death [0.80 vs 0.53 vs 0.64, p<0.001] and all-cause death [0.73 vs 0.52 vs 0.66, p<0.001]. The performance of SCORE improved in a subgroup without CV disease aged 40-64 years compared to the unselected cohort, whilst performance of NT-proBNP was robust across all groups. Conclusion. NT-proBNP is a high-performing biomarker for CV risk assessment in T2DM. Single NT-proBNP is superior compared to SCORE and the multiparameter ESC/EASD risk stratification model for predicting 10-year CV and all-cause fatal events.

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