Exemplos de uso de Each risk factor em Inglês e suas traduções para o Português
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The presence of each risk factor was given one point.
The frequency of ARDS varies according to each risk factor.
The relationship between each risk factor and dependency was expressed by the prevalence ratio PR.
The tool recommends assigning weights from 1 to 5 to each risk factor.
The individual contribution made by each risk factor was calculated Table 2, with a significance level of 5% p< 0.05.
Table 2 compared the normal and high BP in each risk factor.
We aimed to better characterize the isolated effect of each risk factor using controls that were intrinsic to the study design and without parameterization.
Each risk factor has a weight of 1 point, with the exception of S, which has a weight of 2 points, and anticoagulation therapy with warfarin is recommended if the score is> 2.
Medicine The importance of each risk factor in strokes.
Knowledge for each risk factor studied was: 85.5% for diet, 76.7% for heredity, 74.9% for obesity, 38.4% for smoking and 65.4% for lack of physical activities.
The percentage of patients who developed ARDS/ALI according to each risk factor is shown in Table 2.
The prevalence of TB/AIDS was calculated for each risk factor of interest with the respective OR and 95% CI, estimating the strength of association.
Concerning the presence of AAA,the coefficients between odds ratios of aneurysm incidence for each risk factor are shown in third column of Table 5.
In addition, studies are needed that evaluate in isolation each risk factor involved in developing overweight in adolescence given that there is a tendency for this nutritional disorder to continue to adulthood.
Analyzing the systematic review,it is clear that there is still no consensus among studies on the role and relevance of each risk factor for the development of pharyngocutaneous fistulas.
The name of this score CURB-65 is an acronym based on the key term of each risk factor assessed confusion, urea, respiratory and blood and can be presented in its simplified form, CRB-65 without urea levels.
It would be useful to evaluate HPV prevalence in HNSCC cases in the context of these epidemiological profiles to ascertain the fraction attributed to each risk factor in HNSCC.
In unadjusted analysis(Model 1), the crude effects of each risk factor were estimated for children.
The partial score,obtained through the analysis of each risk factor, enables the identification of the most critical risk factors and the prioritization of ergonomic interventions in order to establish improvements.
The expected prevalence of a specific combination of risk factors was calculated based on the individual likelihood of each risk factor in accordance with their occurrence in the study sample.
Raw odds ratios were calculated for each risk factor and for those with statistical significance adjusted odds ratios were calculated by means of a binary logistic regression model, with 95% confidence intervals.
The NNIS index can have values from 0 to 3 Figure 1 wherein each risk factor is worth 1 point in the score calculation.
The frequency of each risk factor is shown in Table I. The range of values shows the heterogeneity of samples from several studies, and high blood pressure and smoking were the most frequent factors.
CVR is estimated by the sum of the weights assigned to each risk factor, and multiplicative effect of these factors. .
Factors with a statistical association, with a 95% confidence level, were selected for the logistic model whose function was to verify the role of each risk factor on bacterial growth.
The odds ratio OR andits 95% confidence interval CI were calculated for each risk factor, with a corresponding p-value, thus determining correlation limits with a 5% error.
Statistical analysis was performed using Quick Unbiased Efficient Statistical Tree QUEST andlogistic regression analysis in order to calculate the odds ratio of each risk factor, adjusted for socioeconomic factors. .
Although each risk factor for coronary disease is partially controlled by genetics, familial history of coronary heart disease is also an important predictor, suggesting the presence of additional genetic susceptibility for this condition.
All the definitions given to the variables by both scores along with their respective values were strictly respected,keeping the specific values beta coefficient for each risk factor according to their relevance with the death event.
It is important to point out the research of the HL etiologies,as well as the type of hearing loss resulting from each risk factor, in order to identify the alterations that affect the auditory nerve and/or the auditory pathways, besides factors that cause late auditory impairment, bearing in mind that these actions may contribute to the cost reduction of NHS in Brazil.