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Background/Aims: Ulcerative colitis (UC) is an incurable, relapsing-remitting inflammatory disease that increases steadily. Mucosal healing has become the primary therapeutic objective for UC. Nevertheless, endoscopic assessments are invasive, expensive, time-consuming, and inconvenient. Therefore, it is crucial to develop a noninvasive predictive model to monitor endoscopic activity in patients with UC. Methods: Clinical data of 198 adult patients with UC were collected from January 2016 to August 2022 at Huadong Hospital, China. Results: Patients with UC were randomly divided into the training cohort (70%, n=138) and the validation cohort (30%, n=60). The receiver operating characteristic curve value for the training group was 0.858 (95% confidence interval [CI], 0.781 to 0.936), whereas it was 0.845 (95% CI, 0.731 to 0.960) for the validation group. The calibration curve employed the Hosmer-Lemeshow test (p>0.05) to demonstrate the consistency between the predicted and the actual probabilities in the nomogram of these two groups. The decision curve analysis validated that the nomogram had clinical usefulness. Conclusions: The nomogram, which incorporated activated partial thromboplastin time, fecal occult blood test, ß2-globulin level, and fibrinogen degradation products, served as a prospective tool for evaluating UC activity in clinical practices.
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Colitis Ulcerosa , Colonoscopía , Nomogramas , Humanos , Colitis Ulcerosa/diagnóstico , Femenino , Masculino , Adulto , Persona de Mediana Edad , Colonoscopía/estadística & datos numéricos , Colonoscopía/métodos , Medición de Riesgo/métodos , Curva ROC , China , Valor Predictivo de las Pruebas , Sangre OcultaRESUMEN
Objectives: Manganese is one of the essential trace elements that are required by the human body. Klotho protein is a classic anti-aging marker. The association between the levels of serum manganese and serum klotho in individuals between the ages of 40-80 in the United States remains unclear. Methods: Data for this cross-sectional study was obtained from the National Health and Nutrition Examination Survey (NHANES 2011-2016) in the United States. We performed multiple linear regression analyses to investigate the association between the levels of serum manganese and serum klotho. Furthermore, we performed a fitted smoothing curve according to a restricted cubic spline (RCS). Stratification and subgroup analyses were performed for further verification of the results. Results: Weighted multivariate linear regression analysis showed that serum manganese levels were independently and positively associated with serum klotho levels (ß = 6.30, 95% confidence interval: 3.30-9.40). Kruskal-Wallis test showed that participants with higher manganese quartiles had higher serum klotho levels (Q1: 808.54 ± 256.39 pg/mL; Q2: 854.56 ± 266.13 pg/mL; Q3: 865.13 ± 300.60 pg/mL; and Q4: 871.72 ± 338.85 pg/mL, p < 0.001). The RCS curve indicated that the association between the levels of serum manganese and serum klotho was non-linear. Furthermore, a significantly positive association was found between serum manganese and serum klotho levels in the majority of subgroups. Conclusion: A non-linear and positive association was found between the levels of serum manganese and serum klotho in individuals aged 40-80 in the United States according to the NHANES (2011-2016).
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In this study, we propose a novel model-free feature screening method for ultrahigh dimensional binary features of binary classification, called weighted mean squared deviation (WMSD). Compared to Chi-square statistic and mutual information, WMSD provides more opportunities to the binary features with probabilities near 0.5. In addition, the asymptotic properties of the proposed method are theoretically investigated under the assumption log p = o ( n ) . The number of features is practically selected by a Pearson correlation coefficient method according to the property of power-law distribution. Lastly, an empirical study of Chinese text classification illustrates that the proposed method performs well when the dimension of selected features is relatively small.
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The partitioning of nucleic acids is sensitive to pH during phenol extraction. However, the exact effects of pH on phenol extraction had not been systematically investigated, and the mechanism of which were not fully elucidated. In this paper, we showed that the partitioning of nucleic acids was determined neither solely by the pH of the aqueous buffer being used, nor by the "pH of the phenol"; the latter is a completely wrong conception. We demonstrated that a key determinant for nucleic acid partitioning during phenol extraction was the equilibrated pH of the aqueous phase, which should be defined as the pH of phenol extraction. For example, when 50 mM NaAc-HAc buffer at pH of 3.47 was mixed with an equal volume of water-saturated phenol, the equilibrated pH of aqueous phase would be raised to â¼3.84. At this pH, almost all of genomic DNA partitioned into the phenol phase, and genomic DNA-free total RNA was retained in the aqueous phase. Several salts were found affecting the partitioning of nucleic acids during phenol extraction in different manners. Based on these results, a low-cost and efficient method for genomic DNA-free total RNA extraction was developed.