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Although this score is used as a benchmark for mortality in the trauma setting, some trauma centres have reported observed mortality rates below those predicted by TRISS [ 65- 67].
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We developed a novel database by merging 2 national data systems for 5 pediatric trauma centers to provide benchmarking metrics for mortality and non-mortality outcomes and to assess care provided throughout the care continuum.
The objective of this study was to establish national birth-weight-based benchmarks for the mortality of surgical NEC and describe the use and mortality of laparotomy vs peritoneal drainage.
He continued to lead me on daily walks that went for miles, and his vigor and sociable nature held up well, pushing far past the early benchmarks for his mortality.
Currently, the arrival GCS motor component (mGCS) score is used in risk-adjustment models for external benchmarking of mortality.
The present study offers a benchmark for morbidity and mortality data in the most common housing system for white veal calves in Europe, based upon the Belgian situation.
To compare the accuracy of data from hospital administration databases and a national clinical cardiac surgery database and to compare the performance of the Dutch hospital standardised mortality ratio (HSMR) method and the logistic European System for Cardiac Operative Risk Evaluation, for the purpose of benchmarking of mortality across hospitals.
The most commonly used prediction models for mortality benchmarking are based on vital signs and injury pattern, including the Trauma and Injury Severity Score (TRISS), which is less accurate in the elderly.
However, it is a large national database, and the finding that in-patient mortality was unrelated to patient comorbidities extends credibility to using 30-day mortality as a benchmark for Center for Medicare performance measure in patients admitted with pneumonia.
The risk model developed in this study exhibited a good degree of predictive accuracy for benchmarking hospital mortality with variables easily accessible from administrative data.
Dairy industries and farmers need benchmarks for culling and mortality against which they can compare themselves, as well as improved understanding of the extent of any change and of any associated factors.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com