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The Surviving Sepsis Campaign (SSC) is an international effort in reducing mortality based on evidence-based guidelines [ 7- 13].
Hypothermia is an independent predictor of mortality based on urban studies.
CIT beyond 6 hours is associated with increased recipient mortality based on ISHLT/UNOS database.
Classification and regression tree analysis was used to generate a decision tree predicting 28-day mortality based on a combination of both biomarkers and clinical variables.
In this paper we first derived three classes of tree mortality based on Landsat spectral data and aerially photo-interpreted (API) polygons.
Although cardiovascular diseases (CVD) are the leading cause of death among Americans, significant disparities persist in CVD prevalence, morbidity, and mortality based on race and ethnicity.
From a management perspective, procedures enabling reliable predictions of local tree mortality based on the size of storm gaps would be highly valuable.
*Significant association with mortality based on univariate logistic regression analysis.
Hypernatremia was associated with differential effects on mortality based on whether DDAVP was used or not.
A cutoff for prediction of mortality based on NRBCs was evaluated using ROC analysis and specified according to Youden's method.
The primary outcome was all-cause 5 year mortality based on the US Social Security Administration Death Master File.
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