Rate of reoperation at 1 year for aortic repair vs replacement in aortic regurgitation. A trial sequence analysis of published meta‐analysis results

2019 ◽  
Vol 34 (8) ◽  
pp. 714-716
Author(s):  
Ashish Kumar ◽  
Mariam Shariff
Keyword(s):  
Sequence Analysis ◽  
Aortic Regurgitation ◽  
Meta Analysis ◽  
Trial Sequence ◽  
Aortic Repair

scholarly journals Pharmacogenetic association between NAT2 gene polymorphisms and isoniazid induced hepatotoxicity: trial sequence meta-analysis as evidence

2019 ◽  
Vol 39 (1) ◽  
Author(s):  
Saif Khan ◽  
Raju K. Mandal ◽  
Abdulbaset Mohamed Elasbali ◽  
Sajad A. Dar ◽  
Arshad Jawed ◽  
...  
Keyword(s):  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Term Treatment ◽  
Wild Type ◽  
Severe Problem ◽  
Trial Sequence ◽  
Increased Risk ◽  
Long Term Treatment ◽  
Nat2 Gene

Abstract Hepatotoxicity is a severe problem generally faced by tuberculosis (TB) patients. It is a well-known adverse reaction due to anti-TB drugs in TB patients undergoing long-term treatment. The studies published previously have explored the connection of N-acetyltransferase 2 (NAT2) gene polymorphisms with isoniazid-induced hepatotoxicity, but the results obtained were inconsistent and inconclusive. A comprehensive trial sequence meta-analysis was conducted employing 12 studies comprising 3613 controls and 933 confirmed TB cases using the databases namely, EMBASE, PubMed (Medline) and Google Scholar till December 2017. A significant association was observed with individuals carrying variant allele at position 481C>T (T vs. C: P = 0.001; OR = 1.278, 95% CI = 1.1100–1.484), at position 590G>A (A vs. G: P = 0.002; OR = 1.421, 95% CI = 1.137–1.776) and at position 857G>A (A vs. G: P = 0.0022; OR = 1.411, 95% CI = 1.052–1.894) to higher risk of hepatotoxicity vis-à-vis wild-type allele. Likewise, the other genetic models of NAT2 gene polymorphisms have also shown increased risk of hepatotoxicity. No evidence of publication bias was observed. These results suggest that genetic variants of NAT2 gene have significant role in isoniazid induced hepatotoxicity. Thus, NAT2 genotyping has the potential to improve the understanding of the drug–enzyme metabolic capacity and help in early predisposition of isoniazid-induced hepatotoxicity.

scholarly journals P1391 Global longitudinal strain in chronic asymptomatic aortic regurgitation: a meta-analysis

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
D De Campos ◽  
R Teixeira ◽  
A Botelho ◽  
C Saleiro ◽  
J Lopes ◽  
...  
Keyword(s):  
Aortic Regurgitation ◽  
Longitudinal Strain ◽  
Meta Analysis ◽  
Global Longitudinal Strain ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Symptom Development ◽  
Ventricular Ejection Fraction ◽  
Asymptomatic Patients ◽  
All Cause Mortality

Abstract BACKGROUND Previous studies have shown that left ventricle global longitudinal strain (GLS) assessed with 2D-speckle tracking echocardiography, is an independent predictor of outcome in asymptomatic moderate to severe chronic aortic regurgitation (AR) patients. OBJECTIVES To assess GLS impact on mortality and need for aortic valve replacement (AVR) or symptom development in chronic asymptomatic AR patients and preserved left ventricular ejection fraction (LVEF). METHODS A literature search was performed according with these key terms "aortic regurgitation" and "longitudinal strain." The primary endpoint was all-cause mortality. Secondary end-points were: a composite of all-cause mortality, need for AVR or symptom development; and only AVR plus symptom development. Data was pooled using random-effects meta-analysis models. Pooled Hazard Ratio (HR) was performed using its log transformation and inverse variances as weights were then calculated for each study . RESULTS Six studies were included, with a total of 1,571 asymptomatic patients with at least moderate AR and preserved LVEF. There were 996 events (death, AVR, symptom development) reported during follow-up. Pooled adjusted mortality HR tended to be higher for patients with worse GLS (1.14 [0.96–1.35], P = 0.13, I2 51%). GLS performed better in predicting AVR or symptom development (mean difference -0.72 [-1.29, -0.15], P = 0.01, I2 88%), with an estimated HR of 1.36 ([1.01–1.84], P = 0.04, I2 65%). CONCLUSIONS In asymptomatic chronic moderate to severe AR patients, impaired GLS was associated with adverse cardiac outcomes. Left ventricular GLS may offer incremental value on risk stratification as well as on decision-making. Abstract P1391 Figure 1

scholarly journals Merging Taxonomy with Ecological Population Prediction in a Case Study of Vibrionaceae

2011 ◽  
Vol 77 (20) ◽  
pp. 7195-7206 ◽  
Author(s):  
Sarah P. Preheim ◽  
Sonia Timberlake ◽  
Martin F. Polz
Keyword(s):  
Population Structure ◽  
Sequence Analysis ◽  
Dynamic Model ◽  
Structure Data ◽  
Meta Analysis ◽  
Fine Scale ◽  
Bacterial Populations ◽  
Content Type ◽  
Population Prediction

ABSTRACTWe synthesized population structure data from three studies that assessed the fine-scale distribution ofVibrionaceaeamong temporally and spatially distinct environmental categories in coastal seawater and animals. All studies used a dynamic model (AdaptML) to identify phylogenetically cohesive and ecologically distinct bacterial populations and their predicted habitats without relying on a predefined genetic cutoff or relationships to previously named species. Across the three studies, populations were highly overlapping, displaying similar phylogenetic characteristics (identity and diversity), and were predominantly congruent with taxonomicVibriospecies previously characterized as genotypic clusters by multilocus sequence analysis (MLSA). The environmental fidelity of these populations appears high, with 9 out of 12 reproducibly associating with the same predicted (micro)habitats when similar environmental categories were sampled. Overall, this meta-analysis provides information on the habitat predictability and structure of previously described species, demonstrating that MLSA-based taxonomy can, at least in some cases, serve to approximate ecologically cohesive populations.

Sign in / Sign up

Export Citation Format

Share Document