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An improvement in the activities of daily living (ADLs) is significantly related to the quality of life and prognoses of patients with stroke. However, the factors predicting significant improvement in ADL (SI-ADL) have not yet been clarified. Therefore, we sought to identify the key factors affecting SI-ADL in patients with stroke after rehabilitation therapy using both logistic regression modeling and decision tree modeling. We retrospectively collected and analyzed the clinical data of 190 patients with stroke who underwent rehabilitation therapy at our hospital between January 2020 and July 2020. General and rehabilitation therapy data were extracted, and the Barthel index (BI) score was used for outcome assessment. We defined SI-ADL as an improvement in the BI score by 15 points or more during hospitalization. Logistic regression and decision tree models were established to explore the SI-ADL predictors. We then used receiver operating characteristic (ROC) curves to compare the logistic regression and decision tree models. Univariate analysis revealed that compared with the non-SI-ADL group, the SI-ADL group showed a significantly shorter course of stroke, longer hospital stay, and higher rate of receiving occupational and speech therapies (all P < 0.05). Binary logistic regression analysis revealed the course of stroke at admission (odds ratio OR = 0.986 , 95 % confidence interval CI = 0.979 –0.993; P < 0.001) and the length of hospital stay (OR = 1.030 , 95 % CI = 1.013 –1.047; P =0.001) as the independent predictors of SI-ADL. ROC comparisons revealed no significant differences in the areas under the curves for the logistic regression and decision tree models (0.808 vs. 0.831; z = 0.977 , P = 0.329). Both models identified the course of disease at admission and the length of hospital stay as key factors affecting SI-ADL. Early initiation of rehabilitation therapy is of immense importance for improving the ADLs in patients with stroke. [ABSTRACT FROM AUTHOR]

Four experimental trials were conducted to explore the optimal dietary protein requirement level for the genetically improved farmed tilapia (GIFT) at different seasonal growth stages. Six practical diets were prepared with graded protein levels (26.45%, 29.28%, 31.69%, 33.68%, 36.18% and 38.75%, dry basis). In Stage 1 (initial weight 3.00 g), the results showed that the optimal growth performance was observed in the 33.68% dietary protein group. Correspondingly, compared with the lowest (26.45%) or highest (38.75%) dietary protein groups, 33.68% dietary protein significantly upregulated the GH‐IGF axis‐related genes (GH, GHR1, GHR2 and IGF‐1) and TOR signalling pathway‐related genes (TOR, S6K1 and 4EBP1). In Stage 2 (initial weight 43.78 g), 26.45% dietary protein contributed to the optimum growth performance. Besides, the expression levels of GH, GHR2 and IGF‐1 and TOR signalling pathway (S6K1 and 4EBP1) decreased with the increasing dietary protein levels, and the maximum values were observed in the 26.45% dietary protein group. In Stage 3 (initial weight 99.97 g), the best growth performance was found in the 31.69% dietary protein group. In addition, the mRNA expression levels of GH, IGF1, S6K1 and 4EBP1 increased with the increase in dietary protein levels up to 31.69%, then gradually declined. In Stage 4 (initial weight 302.82 g), dietary protein levels did not affect the growth performance. Based on the quadratic regression analysis of the SGR, the optimal dietary protein level of each stage was estimated to be 33.08% (Spring, Stage 1), 26.45% (Summer, Stage 2), 33.06% (Autumn, Stage 3) and 26.45% (Winter, Stage 4) of dry diet. [ABSTRACT FROM AUTHOR]