2021
DOI: 10.1007/s11325-021-02305-3
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Should we incorporate obstructive sleep apnea in CHA2DS2-VASc score?

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(2 citation statements)
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“…The optimal cutoff point of CHA 2 DS 2 -VASc was 3 and MCHA 2 DS 2 -VASc was 8 for predicting the incidence of recurrent MI, which was determined by receiver operating characteristic (ROC) curve, area under the curve (AUC) analysis, and Youden index. Patients were subsequently categorized into the low-risk group (0-2) and high-risk group (3)(4)(5)(6)(7)(8)(9) according to the CHA 2 DS 2 -VASc and low-risk group (0-7) and high-risk group (8)(9)(10)(11)(12)(13)(14)(15) according to the MCHA 2 DS 2 -VASc.…”
Section: Definitions and Outcome Measuresmentioning
confidence: 99%
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“…The optimal cutoff point of CHA 2 DS 2 -VASc was 3 and MCHA 2 DS 2 -VASc was 8 for predicting the incidence of recurrent MI, which was determined by receiver operating characteristic (ROC) curve, area under the curve (AUC) analysis, and Youden index. Patients were subsequently categorized into the low-risk group (0-2) and high-risk group (3)(4)(5)(6)(7)(8)(9) according to the CHA 2 DS 2 -VASc and low-risk group (0-7) and high-risk group (8)(9)(10)(11)(12)(13)(14)(15) according to the MCHA 2 DS 2 -VASc.…”
Section: Definitions and Outcome Measuresmentioning
confidence: 99%
“…Many clinical stroke risk factors (e.g., obstructive sleep apnea, left atrium dilatation, and renal impairment) ( 6 8 ) as well as some biomarkers (e.g., troponin, natriuretic peptides, and von Willebrand factor) ( 9 , 10 ) are closely related to the stroke risk, but they do not improve the predictive value of CHA 2 DS 2 -VASc score. Moreover, patients with MI seem to be at increased risk for recurrent major adverse cardiovascular events (MACEs), owing to their clinical characteristics, comorbidities, and biomarkers, such as elderly (especially older women) ( 11 ), diabetes mellitus (DM), heart failure (HF), renal dysfunction ( 12 ), and interleukin-1beta ( 13 ).…”
Section: Introductionmentioning
confidence: 99%