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This can be done using validated bleeding risk scores, such as the HEMORR 2 HAGES or HAS-BLED scores. [33] The HAS-BLED score is recommended in guidelines, to identify the high risk patient for regular review and followup and to address the reversible risk factors for bleeding (e.g. uncontrolled hypertension, labile INRS, excess alcohol use or ...
The HAS-BLED mnemonic stands for: Hypertension; Abnormal renal and liver function; Stroke; Bleeding; Labile INR; Elderly; Drugs or alcohol; A study comparing HEMORR2HAGES, ATRIA and HAS-BLED showed superior performance of the HAS-BLED score compared to the other two. [4] Mixed evidence exist on the comparison between GARFIELD-AF bleeding score ...
The lower part of the above code reports generalized nonlinear partial correlation coefficient between X and Y after removing the nonlinear effect of Z to be 0.8844. Also, the generalized nonlinear partial correlation coefficient between X and Z after removing the nonlinear effect of Y to be 0.1581. See the R package `generalCorr' and its ...
The extent of the bias is the absolute value of cf, and the direction of bias is upward (toward a more positive or less negative value) if cf > 0 (if the direction of correlation between y and z is the same as that between x and z), and it is downward otherwise.
A new report published by consulting firm Simon-Kucher found a dramatic increase in year-over-year holiday spending by Generation Z, or people born between 1997 and 2012. The study dubs this trend ...
Previously, the authors had shown that the use of levothyroxine in people with higher thyroid hormone levels had a negative effect on leg mass in older adults, in a study whose results appeared in ...
NEW YORK (Reuters) -The judge overseeing Donald Trump's criminal hush money case has put off ruling on whether the president-elect's conviction should be thrown out on immunity grounds, enabling ...
The product of independent random variables X and Y may belong to the same family of distribution as X and Y: Bernoulli distribution and log-normal distribution. Example: If X 1 and X 2 are independent log-normal random variables with parameters (μ 1, σ 2 1) and (μ 2, σ 2 2) respectively, then X 1 X 2 is a log-normal random variable with ...