BackgroundRed cell distribution width (RDW), a routine component of the complete blood count (CBC), measures variation in the size of circulating erythrocytes. It has been associated with several clinical outcomes in cardiovascular disease. We sought to strengthen the association between RDW and mortality in patients admitted for acute coronary syndrome (ACS) by pooling together data from available studies.MethodsStudies that fulfilled the following were identified for analysis: 1) observational; 2) included patients admitted for ACS; 3) reported data on all-cause or cardiovascular (CV) mortality in association with a low or high RDW; and 4) used logistic regression analysis to control for confounders. Using MEDLINE, Clinical Key, ScienceDirect, Scopus, and Cochrane Central Register of Controlled Trials databases, a search for eligible studies was conducted until January 9, 2017. The quality of each study was evaluated using the Newcastle-Ottawa Quality Assessment Scale. Our primary outcome of interest was all-cause or CV mortality. We also investigated the impact of RDW on major adverse cardiovascular events (MACEs) for the studies that reported these outcomes. Review Manager (RevMan) 5.3 was utilized to perform Mantel-Haenzel analysis of random effects and compute for relative risk.ResultsWe identified 13 trials involving 10,410 patients, showing that in ACS, a low RDW is associated with a statistically significant lower all-cause or CV mortality (RR 0.35, (95% CI 0.30 to 0.40), P < 0.00001, I2 = 53%), a finding that was consistent both in the short- and long-term.ConclusionsA low RDW is also associated with lower risk for MACEs after an ACS (RR 0.56, (95% CI 0.51 to 0.61), P < 0.00001, I2 = 91%). A low RDW during an ACS is associated with lower all-cause or CV mortality and lower risk of subsequent MACEs, providing us with a convenient and inexpensive risk stratification tool in ACS patients.
BackgroundCardioembolic events are life-threatening complications of infective endocarditis (IE). The embolic risk French calculator estimates the embolic risk in IE computed on admission. Variables in this tool include age, diabetes, atrial fibrillation, prior embolism, vegetation length, and Staphylococcus aureus on culture. A computed risk of > 7% was considered high in the development of this tool. Knowledge of this risk applied in our local setting is important to guide clinicians in preventing such catastrophic complications. Among patients with IE, we aim to determine the efficacy of the embolic risk French calculator, using a computed score of > 7%, in predicting major embolic events.MethodsAll adults admitted from 2013 to 2016 with definite IE were included. The risk for embolic events was computed on admission. All were monitored for the duration of admission for the occurrence of the primary outcome (any major embolic event: arterial emboli, intracranial hemorrhage, pulmonary infarcts, or aneurysms). Secondary outcomes were: 1) composite of death and embolic events; and 2) death from any cause.ResultsEighty-seven adults with definite IE were included. Majority had a valvular heart disease and preserved ejection fraction (EF). The mitral valve was most commonly involved. Embolic events occurred in 25 (29%). Multivariate analysis identified a high embolic score > 7% (relative risk (RR): 15.12, P < 0.001), vegetation area ≥ 18 mm2 (RR: 6.39, P < 0.01), and a prior embolism (RR: 5.18, P = 0.018) to be independent predictors of embolic events. For the composite of embolic events and death, independent predictors include a high score of > 7% (RR: 13.56, P < 0.001) and a prior embolus (RR: 13.75, P = 0.002). Independent predictors of death were a high score > 7% (RR: 6.20, P = 0.003) and EF ≤ 45% (RR: 9.91, P = 0.004).ConclusionCardioembolic events are more prevalent in our study compared to previous data. The embolic risk French calculator is a useful tool to estimate and predict risk for embolic events and in-hospital mortality. The risk of developing embolic events should be weighed against the risks of early preventive cardiac surgery, as to institute timely and appropriate management.
A common drug used for hypertension among Filipinos is beta‐blockers. Variable responses to beta‐blockers are observed, and genetic predisposition is suggested. This study investigated the association of genetic variants with poor response to beta‐blockers among Filipinos. A total of 76 Filipino adult hypertensive participants on beta‐blockers were enrolled in an unmatched case‐control study. Genotyping was done using DNA from blood samples. Candidate variants were correlated with clinical data using χ2 and logistic regression analysis. The deletion of at least one copy of allele A of rs36217263 near Klotho showed statistically significant association with poor response to beta‐blockers (dominant; odds ratio (OR) = 3.89; P = 0.017), adjusted for diabetes and dyslipidemia. This association is observed among participants using cardioselective beta‐blockers (crude OR = 5.60; P = 0.008) but not carvedilol (crude OR = 2.56; P = 0.67). The genetic variant rs36217263 is associated with poor response to cardioselective beta‐blockers, which may become a potential marker to aid in the management of hypertension.
Cough is a common side effect of angiotensin converting enzyme inhibitor (ACEi) therapy. The incidence of ACEi-induced cough has been shown to correlate with genetic variation among different populations. This study aimed to determine the association of candidate genetic polymorphisms with ACEi-induced cough among Filipinos. Two hundred twenty (220) participants on ACEi therapy pressure-lowering in an unmatched case-control study (82 cases with ACEi-induced cough and 138 controls). Genomic DNA samples were extracted and genotyped for selected genetic variants. The association of genetic variants and clinical factors with ACEi-induced cough was determined using regression analyses. Univariate logistic regression showed that the BAG6 variant rs805303 is nominally associated with ACEi-induced cough among Filipinos, at a per-comparison error rate (PCER) of 0.05 (OR 2.10, p = 0.016). The association of the variant with ACEi cough was statistically significant after multiple regression analysis (adjusted OR 2.09, p = 0.022) while adjusting for confounding clinical factors (sex, alcohol intake, and diastolic blood pressure). Further studies are needed to validate these findings.
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