A Risk Assessment Tool Incorporating New Biomarkers for Cardiovascular Events in Acute Coronary Syndromes: The Organization to Assess Strategies in Ischemic Syndromes (OASIS) Risk Score

2016 ◽  
Vol 32 (11) ◽  
pp. 1332-1339 ◽  
Author(s):  
Shamir R. Mehta ◽  
John W. Eikelboom ◽  
Purnima Rao-Melacini ◽  
Jeffrey I. Weitz ◽  
Sonia S. Anand ◽  
...  
2015 ◽  
Vol 88 (5) ◽  
pp. 547
Author(s):  
In Hye Ku ◽  
Ji Hyun Lee ◽  
Seong Man Kim ◽  
Sung Min Kang ◽  
Hae Koo Kim ◽  
...  

Author(s):  
Fenghui Pan ◽  
Wenxia Cui ◽  
Lei Gao ◽  
Xiaoting Shi ◽  
Mingrui Zhang ◽  
...  

Abstract Purpose To develop a simple and clinically useful assessment tool for osteoporosis in older women with type 2 diabetes mellitus (T2DM). Methods A total of 601 women over 60 years of age with T2DM were enrolled in this study. The levels of serum sex hormones and bone metabolism markers were compared between the osteoporosis and non-osteoporosis groups. The least absolute shrinkage and selection operator regularization (LASSO) model was applied to generate a risk assessment tool. The risk score formula was evaluated using receiver operating characteristic analysis and the relationship between the risk score and the bone mineral density (BMD) and T-value were investigated. Results Serum sex hormone-binding globulin (SHBG), cross-linked C-telopeptide of type 1 collagen (CTX), and osteocalcin (OC) were significantly higher in the osteoporosis group. After adjustment for age and body mass index (BMI), SHBG was found to be correlated with the T-value or BMD. Then, a risk score was specifically generated with age, BMI, SHBG, and CTX using the LASSO model. The risk score was significantly negatively correlated with the T-value and BMD of the lumbar spine, femoral neck, and total hip (all P<0.05). Conclusion A risk score using age, BMI, SHBG, and CTX performs well for identifying osteoporosis in older women with T2DM.


2021 ◽  
pp. 1-8
Author(s):  
Barry O’Callaghan ◽  
Emma Shepherd ◽  
Demetris Taliotis ◽  
James Bentham ◽  
Damien Kenny ◽  
...  

Abstract Background: No established risk prediction tool exists in United Kingdom and Irish Paediatric Cardiology practice for patients undergoing cardiac catheterisation. The Catheterisation RISk score for Paediatrics is used primarily in North American practice to assess risk prior to cardiac catheterisation. Validating the utility and transferability of such a tool in practice provides the opportunity to employ an already established risk assessment tool in everyday practice. Aims: To ascertain whether the Catheterisation RISk score for Paediatrics assessment tool can accurately predict complications within United Kingdom and Irish congenital catheterisation practice. Methods: Clinical and procedural data including National Institute for Cardiovascular Outcomes Research derived outcome data from 1500 patients across five large congenital cardiology centres in the United Kingdom and Ireland were retrospectively collected. Catheterisation RISk score for Paediatrics were then calculated for each case and compared with the observed procedural outcomes. Chi-square analysis was used to determine the relationship between observed and predicted events. Results: Ninety-eight (6.6%) patients in this study experienced a significant complication as qualified by National Institute for Cardiovascular Outcomes Research classification. 4% experienced a moderate complication, 2.3% experienced a major complication and 0.3% experienced a catastrophic complication resulting in death. Calculated Catheterisation RISk score for Paediatrics scores correlated well with all observed adverse events for paediatric patients across all CRISP categories. The association was also transferable to adult congenital heart disease patients in lower Catheterisation RISk score for Paediatrics categories (CRISP 1–3). Conclusion: The Catheterisation RISk score for Paediatrics score accurately predicts significant complications in congenital catheterisation practice in the United Kingdom and Ireland. Our data validated the Catheterisation RISk score for Paediatrics assessment tool in five congenital centres using National Institute for Cardiovascular Outcomes Research-derived outcome data.


Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Andrew T Yan ◽  
Raymond T Yan ◽  
Thao Huynh ◽  
Amparo Casanova ◽  
F. E Raimondo ◽  
...  

An important treatment-risk paradox exists in the management of acute coronary syndromes (ACS). However, the process of risk stratification by physicians and its relationship to patient management have not been well studied. Our objective was to examine patient risk assessment by physician in relation to treatment and objective risk score evaluation, and the underlying patient characteristics that physicians consider to indicate high risk. The prospective Canadian ACS II Registry recruited 1956 patients admitted for non-ST elevation ACS in 36 hospitals in Oct 2002-Dec 2003. Patient risk assessment by the treating physician and management were recorded on standardized case report forms. We calculated the TIMI, PURSUIT and GRACE risk scores for each patient. Of the 1956 ACS patients, 347 (17.8%) patients were classified as low risk, 822 (42%) as intermediate risk, and 787 (40.2%) as high risk by their treating physicians. Patients considered as high risk were more likely to receive aggressive medical therapies and to undergo coronary angiography and revascularization. However, there were only weak correlations (Kendall’s tau-b correlation coefficients ranging from 0.08 to 0.14) between risk assessment by physicians and all 3 validated risk scores. Advanced age was an independent negative predictor. Furthermore, there was no significant association between the high risk category and several established prognosticators, such as history of heart failure, hemodynamic variables, and creatinine. Contemporary risk stratification of ACS appears suboptimal and may perpetuate the treatment-risk paradox. Physicians may not recognize and incorporate the most powerful adverse prognosticators into overall patient risk assessment. Routine use of validated risk score may enhance risk stratification and facilitate more appropriate tailoring of intensive therapies towards high-risk patients.


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