Prediction of acute-coronary-syndrome using newly-defined R2-CHA2DS2-VASc score among patients with chest pain

R2-CHA2DS2-VASc Score for Cardiovascular Event Prediction After Bioprosthetic Valve Replacement - Subanalysis From the BPV-AF Registry

Background

There are few studies evaluating the prognostic prediction method in atrial fibrillation (AF) patients after bioprosthetic valve (BPV) replacement. The R2-CHA2DS2-VASc score is increasingly used for the prediction of cardiovascular (CV) events in patients with AF, device implantation, and acute coronary syndrome. We aimed to evaluate the predictive value of the R2-CHA2DS2-VASc score for future CV events in AF patients after BPV replacement.

Methods and Results

The BPV-AF, an observational, multicenter, prospective registry, enrolled AF patients who underwent BPV replacement. The primary outcome measure was a composite of stroke, systemic embolism, CV events including heart failure requiring hospitalization, and cardiac death. A total of 766 patients was included in the analysis. The mean R2-CHA2DS2-VASc score was 5.7±1.8. Low (scores 0-1), moderate (scores 2-4), and high (scores 5-11) R2-CHA2DS2-VASc score groups consisted of 12 (1.6%), 178 (23.2%), and 576 (75.2%) patients, respectively. The median follow-up period was 491 (interquartile range 393-561) days. Kaplan-Meier analysis showed a higher incidence of the composite CV events in the high R2-CHA2DS2-VASc score group (log rank test; P<0.001). Multivariate Cox proportional hazards regression analysis revealed that the R2-CHA2DS2-VASc score as a continuous variable was an independent predictor of composite CV outcomes (hazard ratio 1.36; 95% confidence interval 1.18-1.55; P<0.001).

Conclusions

The R2-CHA2DS2-VASc score is useful for CV risk stratification in AF patients after BPV replacement.

CHA2DS2-VASc score as a predictor of clinical outcomes in hospitalized patients with and without chronic kidney disease

BACKGROUND

High CHA2DS2-VASc score (Congestive heart failure, Hypertension, Age > 75 years, Diabetes mellitus, prior Stroke or transient ischemic attack or thromboembolism, Vascular disease, Age 65-74 and Sex category) was associated with adverse clinical outcomes in different settings. The aim of the present study was to evaluate the association between CHA2DS2-VASc score and R2CHA2DS2-VASc score (which includes renal impairment) with in-hospital mortality and length of hospital stay in patients hospitalized in an internal medicine ward.

METHODS

We enrolled 983 consecutive patients admitted during 3 years in an internal medicine ward. R2CHA2DS2-VASc score was calculated by adding 2 points to CHA2DS2-VASc for the presence of chronic kidney disease (CKD), defined according to K-DOQI. The primary outcome was a composite of all-cause mortality and length of hospital stay > 10 days.

RESULTS

Patients with CKD stages 3-5 presented with increased CHA2DS2-VASc vs stages 1-2 (p < 0.001). The composite outcome occurred in 47.3% of inpatients. Multivariable linear logistic regression analyses adjusted for presence of infectious diseases and cancer, with the occurrence of composite outcome showed an adjusted OR of 1.349 (95% CI 1.248-1.462) and 1.254 (95% CI 1.179-1.336) for CHA2DS2-VASc and R2CHA2DS2-VASc scores, respectively. No differences were found in the association between CHA2DS2-VASc and R2CHA2DS2-VASc scores with the composite outcome (AUC 0.631 vs 0.630), and furthermore, adding the presence/absence of infectious diseases during hospitalization and positive cancer history to the models increased the AUC (0.667 and 0.663).

CONCLUSIONS

Incrementally higher CHA2DS2-VASc score is associated with increased length of hospital stay and mortality in patients hospitalized in an internal medicine ward, regardless of the presence of CKD.

Atrial high-rate episodes intensify R2CHA2DS2-VASc score for prognostic stratification in pacemaker patients

Patients with device detected atrial high-rate episodes (AHRE) have an increased risk of MACE. The R₂CHA₂DS₂-VASc, CHADS₂, R₂CHADS₂ and CHA₂DS₂-VASc score have been investigated for predicting major adverse cardiovascular events (MACE) in different groups of patients. We aimed to evaluate the R₂CHA₂DS₂-VASc score in combination with AHRE ≥ 6 min for predicting MACE in patients with dual-chamber PPM but no prior atrial fibrillation (AF). We retrospectively enrolled 376 consecutive patients undergoing dual-chamber PPM implantation and no prior AF. The primary endpoint was subsequent MACE. For all patients in the cohort, CHADS₂, R₂CHADS₂, CHA₂DS₂-VASc, R₂CHA₂DS₂-VASc scores and AHRE ≥ or < 6 min were determined. AHRE was recorded as a heart rate > 175 bpm (Medtronic) or > 200 bpm (Biotronik) lasting ≥ 30 s. Multivariate Cox regression analysis with time-dependent covariates was used to determine the independent predictors of MACE. ROC-AUC analysis was performed for CHADS₂, R₂CHADS₂, CHA₂DS₂-VASc, and R₂CHA₂DS₂-VASc scores and then adding AHRE ≥ 6 min to the four scores. The median age was 77 years, and 107 patients (28.5%) developed AHRE ≥ 6 min. After a median follow-up of 32 months, 46 (12.2%) MACE occurred. Multivariate Cox regression analysis showed that R₂CHA₂DS₂-VASc score (HR, 1.485; 95% CI, 1.212-1.818; p < 0.001) and AHRE ≥ 6 min (HR, 2.125; 95% CI, 1.162-3.887; p = 0.014) were independent predictors for MACE. The optimal R₂CHA₂DS₂-VASc score cutoff value was 4.5 (set at ≥ 5), with the highest Youden index (AUC, 0.770; 95% CI, 0.709-0.831; p < 0.001). ROC-AUC analysis of the four risk scores separately combined with AHRE ≥ 6 min all showed better discriminatory power than the four scores alone (All Z-statistic p < 0.05). In patients with PPM who develop AHRE ≥ 6 min, it is crucial to perform risk assessment with either four scores to further stratify risk for MACE.

Mortality prediction using a modified R2CHA2DS2-VASc score among hospitalized COVID-19 patients

The CHA₂DS₂-VASc score incorporates several comorbidities which have prognostic implications in COVID-19. We assessed whether a modified score (M-R₂CHA₂DS₂-VASc), which includes pre-admission kidney function and male sex, could be used to classify mortality risk among people hospitalized with COVID-19. This retrospective study included adults admitted for COVID-19 between March and December 2020. Pre-admission glomerular filtration rate (GFR) was calculated based on serum creatinine and used for scoring M-R₂CHA₂DS₂-VASc. Participants were categorized according to the M-R₂CHA₂DS₂-VASc categories as 0-1 (low), 2-3 (intermediate), or ≥ 4 (high), and according to initial COVID-19 severity score. The primary outcome was 30-day mortality rates. Secondary outcomes were mortality rates over time, and rates of mechanical ventilation, hemodynamic support, and renal replacement therapy. Eight hundred hospitalizations met the study criteria. Participants were 55% males, average age was 65.2 ± 17 years. There were similar proportions of subjects across the M-R₂CHA₂DS₂-VASc categories. 30-day mortality was higher in those in higher M-R₂CHA₂DS₂-VASc category and with severe or critical COVID-19 at admission. Subjects in the low, intermediate, and high M-R₂CHA₂DS₂-VASc categories had 30-day mortality rates of 4.7%, 17% and 31%, respectively (p < 0.001). Higher category was also associated with increased need for mechanical ventilation and renal replacement therapy. All-cause 90-day mortality remained significantly associated with M-R₂CHA₂DS₂-VASc. The M-R₂CHA₂DS₂-VASc score is associated with 30-day mortality rates among patients hospitalized with COVID-19, and adds predictive value when combined with initial COVID-19 severity.