Sentence examples for mortality risk model from inspiring English sources
The aim of this study is to design a new specific mortality risk model adjusted to patients undergoing thoracic aortic surgery.
We estimated season-specific effects by adding interaction terms between pollutant concentration and seasons to our mortality risk model.
Four independent factors were included in the POCAS mortality risk model: mean arterial pressure, bicarbonate, lactate and the International Normalized Ratio INRR).
Four independent factors were included in the POCAS mortality risk model: mean arterial pressure, bicarbonate ratio, lactate ratio and the INR.
Figure 4 shows results of the multivariable Cox regression estimates with regards to macrovascular event risk (model 2), microvascular event risk (model 3), T2DM-related hospitalisation risk (model 4), and all-cause mortality risk (model 5).
Prior analyses have utilized ICD-9 diagnoses given at the same time as the diagnosis of interest to construct mortality risk models [22], [23]; we present the set of associated diagnoses found in the database during a variable time window (Table 1 and Table S1).
Most risk predictors in Higgins' score are the same in other North American and European mortality risk models (such as; the Parsonnet and EUROscore models) [ 43- 45].
To account for temporal changes in mortality risk, models were stratified by three categories of birth cohort: 1910 1922, 1923 1940, and 1941 1954 (9).
We therefore included the mean value of each pollutant on the previous-day (lag 1) in single-pollutant mortality risk models.
On average across communities, 358 days with exposure data for all four constituents were included in multipollutant mortality risk models, and some communities had fewer days to estimate multipollutant risks compared to single-pollutant risks, which were estimated from an average of 389 days.
