Mouse Anti-Human NSE monoclonal antibody, clone 713

Negative stress echocardiography (NSE) is associated with low cardiovascular morbidity and overall mortality. We aimed to determine the clinical and echocardiographic predictors of overall and cardiovascular outcomes following NSE. Patients who underwent SE between 2013 and 2017 were reviewed. Patients with a history of solid organ transplant or being evaluated for transplant, history of end-stage renal or liver disease, and positive SE were excluded. NSE results were divided into negative diagnostic if patient reached target heart rate (THR) and had no wall motion abnormality (WMA) at rest or stress; negative non-diagnostic if patient had no WMA but did not reach THR or if image quality was non-diagnostic; and abnormal non-ischemic if patient had a resting WMA not worsened at stress along with a personal history of coronary artery disease (CAD). New CAD lesion at 1 year was defined as >= 50% stenosis on cardiac catheterization. Of 4119 patients with SE, 2575 were included. All-cause mortality rate was 1.1%/year and CAD rate was 3.1%/year. Predictors of all-cause mortality were age, male gender, history of smoking and being selected for dobutamine SE. Predictors of a new CAD lesion at 1 year were male gender, diabetes, personal history of CAD and abnormal non-ischemic SE. We identified clinical and echocardiographic characteristics in a subset of NSE patients who are at higher risk for subsequent adverse events. These characteristics should be accounted for during the clinical interpretation of SE, and patients found at increased risk for morbidity and mortality warrant continued follow-up.

Macropores are critical pathways through which water and pollutants can bypass the soil matrix and be rapidly transported to subsurface drains and freshwater bodies. We modified the DRAINMOD model to simulate macropore flow using a simple approach as part of developing the DRAINMOD-P model to simulate phosphorus dynamics in artificially drained agricultural lands. The Hagen-Poiseuille's law was used to estimate the flow capacity of macropores. When ponding depths on the soil surface are greater than Kirkham's depth, water is assumed to flow through macropores directly to tile drains without interaction with the soil matrix. In the modified model, macropore size is adjusted based on wet or dry conditions while connectivity is altered by tillage. The model was tested using a 4-year data set from a subsurface drained field in northwest Ohio. The soils at the field are classified as very poorly drained and are prone to desiccation cracking. The modified model predicted the daily and monthly subsurface drainage with average Nash-Sutcliffe efficiency (NSE) values of 0.48 and 0.59, respectively. The cumulative drainage over the 4-year simulation period was under-predicted by 8%. The new macropore component was able to capture about 75% of 60 peak drainage flow events. However, surface runoff was over-predicted for the entire study period. Annual water budgets using measured data (precipitation, subsurface drainage, and surface runoff) and model predictions (evapotranspiration, vertical seepage, and change in storage) were not balanced with an average annual imbalance of 6.4 cm. The lack of closure in the water balance suggests that errors may have occurred in field measurements, particularly, surface runoff. Overall, incorporating macropore flow into DRAINMOD improved predictions of daily drainage peaks and enabled the model to predict subsurface drainage flux contributed by macropore flow, which is critical for expanding DRAINMOD to simulate phosphorus transport in subsurface drained agricultural land.