DNLRDomain Name Law Reports
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It is well known that dNLR is a prognostic marker of malignancies (an optimal cutoff value is 1.73), and the significant low mean value of dNLR at the time of diagnosis of fibromyalgia indicating that the disease is a benign condition.9 The area under the curve shows that NLR and dNLR are good discriminators to diagnose FM.
The 5-year OS was significantly worse in high dNLR patients than in low dNLR patients (77.6% versus 94.7%, p < 0.001; Figure 1(a)).
Based on the multivariate analysis, the elevated pretreatment dNLR and hypoalbuminemia were independent prognostic factors for OS, together with TNM stage and lymphovascular invasion (Table 3).
Based on the systemic immune prognostic factors identified in the multivariate analysis, we combined the two factors to establish the SIS defined as follows: patients with both high dNLR and the pretreatment hypoalbuminemia were assigned a score of 2, patients with either high dNLR or the pretreatment hypoalbuminemia were assigned a score of 1, and patients with both low dNLR and normal albumin were assigned a score of 0.
Moreover, the survival curves (Figure 3) show no difference between surgery alone versus surgery + AC according to pretreatment dNLR and hypoalbuminemia.
[20] reported the dNLR and NLR have similar prognostic value in a large cohort of unselected cancer patients.
As stated above, dNLR and hypoalbuminemia were independent prognostic predictors of survival in patients with stage I GC.
The present study demonstrated that stage I GC patients with elevated pretreatment dNLR and pretreatment hypoalbuminemia were likely to receive a survival benefit from AC.
The evolution equations that take into account these two types of internal reorganizations may be written in a DNLR matrix form:
The DNLR, via the relaxation spectrum involved by modal analysis of fluctuations, is in agreement with Kovacs's interpretation and is able to predict the crossover effect (Fig.
The modeling of the HDPE mechanical behavior in the thermodynamic DNLR framework requires a physical characterization of the relaxed state using a specific relaxation time spectrum that is different from the spectrum responsible for the observable stress response observed during the experiment.
We have also shown that the modal distribution of the dissipation modes used in the DNLR approach permit us to reproduce the complex transitory effect of the response.