Clinical utility of CHADS2 and CHA2DS2-VASc scoring systems for predicting postoperative atrial fibrillation after cardiac surgery

ObjectivesThe presence of postoperative atrial fibrillation predicts a higher short- and long-term mortality rates; however, no scoring system has been used to discriminate patients at high risk for this complication. The aim of this study was to investigate whether the CHADS2 and CHA2DS2-VASc scores are useful risk assessment tools for new-onset atrial fibrillation after cardiac surgery.MethodsA total of 277 consecutive patients who underwent cardiac surgery were prospectively included in this risk stratification study. We calculated the CHADS2 and CHA2DS2-VASc scores from the data collected. The primary end point was the development of postoperative atrial fibrillation within 30 days after cardiac surgery.ResultsEighty-four (30%) of the patients had postoperative atrial fibrillation at a median of 2 days (range, 0-27 days) after cardiac surgery. The CHADS2 and CHA2DS2-VASc scores were significant predictors of postoperative atrial fibrillation in separate multivariate regression analyses. The Kaplan-Meier analysis obtained a higher postoperative atrial fibrillation rate when based on the CHADS2 and CHA2DS2-VASc scores of at least 2 than when based on scores less than 2 (both log rank, P < .001). In addition, the CHA2DS2-VASc scores could be used to further stratify the patients with CHADS2 scores of 0 or 1 into 2 groups with different postoperative atrial fibrillation rates at a cutoff value of 2 (12% vs 32%; P = .01).ConclusionsCHADS2 and CHA2DS2-VASc scores were predictive of postoperative atrial fibrillation after cardiac surgery and may be helpful for identifying high-risk patients

Worksite health screening programs for predicting the development of Metabolic Syndrome in middle-aged employees: a five-year follow-up study

<p>Abstract</p> <p>Background</p> <p>Metabolic syndrome (MetS) management programs conventionally focus on the adults having MetS. However, risk assessment for MetS development is also important for many adults potentially at risk but do not yet fulfill MetS criteria at screening. Therefore, we conducted this follow-up study to explore whether initial screening records can be efficiently applied on the prediction of the MetS occurrence in healthy middle-aged employees.</p> <p>Methods</p> <p>Utilizing health examination data, a five-year follow-up observational study was conducted for 1384 middle-aged Taiwanese employees not fulfilling MetS criteria. Data analyzed included: gender, age, MetS components, uric acid, insulin, liver enzymes, sonographic fatty liver, hepatovirus infections and lifestyle factors. Multivariate logistic regression was used to estimate the adjusted odds ratios (OR) and 95% confidence interval (CI) of risk for MetS development. The synergistic index (SI) values and their confidence intervals of risk factor combinations were calculated; and were used to estimate the interacting effects of coupling MetS components on MetS development.</p> <p>Results</p> <p>Within five years, 13% (175 out of 1384) participants fulfilled MetS criteria. The ORs for MetS development among adults initially having one or two MetS components were 2.8 and 7.3, respectively (both p < 0.01), versus the adults having zero MetS component count at screening. Central obesity carried an OR of 7.5 (p < 0.01), which far exceeded other risk factors (all ORs < 2.7). Synergistic effects on MetS development existed between coupling MetS components: 1. High blood pressure plus low-HDL demonstrated an OR of 11.7 (p < 0.01) for MetS development and an SI of 4.7 (95% CI, 2.1-10.9). 2. High blood pressure plus hyperglycemia had an OR of 7.9 (p < 0.01), and an SI of 2.7 (95% CI, 1.2-6.4).</p> <p>Conclusion</p> <p>MetS component count and combination can be used in predicting MetS development for participants potentially at risk. Worksite MetS screening programs simultaneously allow for finding out cases and for assessing risk of MetS development.</p

Use of CHADS₂ and CHA₂DS₂-VASc scores to predict subsequent myocardial infarction, stroke, and death in patients with acute coronary syndrome: data from Taiwan acute coronary syndrome full spectrum registry.

Acute coronary syndrome (ACS) patients have a wide spectrum of risks for subsequent cardiovascular events and death. However, there is no simple, convenience scoring system to identify risk of adverse outcomes. We investigated whether CHADS₂ and CHA₂DS₂-VASc scores were useful tools to assess the risk for adverse events among ACS patients.This observational prospective study was conducted at 39 hospitals. Totally 3,183 patients with ACS were enrolled, and CHADS₂ and CHA₂DS₂-VASc scores were calculated. The primary endpoint was occurrence of adverse event, including subsequent myocardial infarction, stroke, or death, within 1 year of discharge.CHADS₂ and CHA₂DS₂-VASc scores were significant predictors of adverse events in separate multivariate regression analyses. A Kaplan-Meier analysis of CHADS₂ and CHA₂DS₂-VASc scores of ≥2 showed a higher rate of adverse events as compared with scores of <2 (P<0.001;log-rank test). CHA₂DS₂-VASc score was better than CHADS₂ score in predicting subsequent adverse events; the area under the receiver operating characteristic curve increased from 0.66 to 0.70 (p<0.001). Patients with CHADS₂ scores of 0 or 1 were further classified according to CHA₂DS₂-VASc score, using a cutoff value of 2. The rate of adverse events significantly differed between those with a score of <2 and those with a score of ≥2 (4.1% vs.10.7%, P<0.001).CHADS₂ and CHA₂DS₂-VASc scores were useful predictors of subsequent adverse events in ACS patients

Determinants of early chronic kidney disease in patients with recently diagnosed type 2 diabetes mellitus: a retrospective study from the Taiwan Diabetes Registry

Abstract Background We tried to identify the risk factor associate with early chronic kidney disease (CKD) in recently diagnosed type 2 diabetes mellitus patients by utilizing real-world data from Taiwan Diabetes Registry. Materials and methods Patients with type 2 diabetes mellitus recently diagnosed within 1 year. We divided the study participants into control group and early CKD group. Early CKD was defined as either CKD stage G1 with albuminuria, CKD stage G2 with albuminuria, or CKD stage G3a regardless of albuminuria (Urine-albumin to creatinine ratio (UACR) ≥ 3 mg/mmol). Control group was defined as CKD G1 or CKD G2 without albuminuria. Logistic regression analyses were used to compare differences in clinical characteristics between the subgroups. Linear regression models were employed to examine the factors predicting estimated glomerular filtration rate (eGFR) and UACR. Results Total 2217 patients with recently diagnosed type 2 diabetes mellitus were included. 1545 patients were assigned to control group and 618 patients were assigned to the early CKD group. Age (odds ratio (OR) 1.215, 95% confidence interval [CI] 1.122–1.316), systolic blood pressure (OR 1.203, 95% CI 1.117–1.296), glycated hemoglobin (OR 1.074, 95% CI 1.023–1.129) and triglyceride (OR 2.18, 95% CI 1.485–3.199) were found to be significant risk factors. Further, presence of bidirectional association between UACR and eGFR was found. Conclusions We reported factors associated with early CKD in recently diagnosed type 2 diabetes mellitus patients. Variables that associated with eGFR and UACR were identified respectively, included a mutual influence between UACR and eGFR

Clinical outcomes during follow-up stratified using a cutoff value of 2 for CHADS₂ and CHA₂DS₂-VASc scores.

<p>Clinical outcomes during follow-up stratified using a cutoff value of 2 for CHADS₂ and CHA₂DS₂-VASc scores.</p

Hazard ratios for myocardial infarction, stroke, or death according to baseline CHADS₂ and CHA₂DS₂-VASc scores.

<p>Hazard ratios for myocardial infarction, stroke, or death according to baseline CHADS₂ and CHA₂DS₂-VASc scores.</p

Rates of adverse events, including myocardial infarction (MI), stroke, or death, according to CHADS₂ and CHA₂DS₂-VASc scores.

<p>The rate of MI, stroke, or death increased as CHADS₂ (A) and CHA₂DS₂-VASc (B) scores increased.</p

Flowchart of adverse event rates and risk scores in the patients with CHADS₂ score of 0 or 1.

<p>(A) Rate of MI, stroke, or death in patients with a CHADS₂ score of 0 or 1, according to CHA₂DS₂-VASc score. The rate of myocardial infarction (MI), stroke, or death progressively increased, from 3.0% to 33.3%, with increasing CHA₂DS₂-VASc score. (B) The flowchart shows the rate of MI, stroke, or death in patients stratified by CHADS₂ and CHA₂DS₂-VASc scores.</p