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Background Chronic kidney disease (CKD) is a serious risk to the health and longevity of the elderly, and hypertension is closely related to CKD. However, the studies on the correlation of blood pressure levels with the development and progression of CKD in older adults have shown inconsistent results. Objective To explore the association between blood pressure levels and the risk of CKD among the elderly in longevity areas of China. Methods From October 2021 to May 2022, a total of 989 older adults who underwent physical examination with biomedical indicators collected in 2012 were selected as subjects based on the subcohort of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) -Healthy Aging and Biomarkers Cohort Study (HABCS) . Age, gender, height, weight, blood pressure, blood lipid, blood glucose, routine blood and urine indicators were collected at baseline, and follow-up monitoring was conducted in 2014. Cox proportional hazards regression model was used to analyze the association between the blood pressure levels and the risk of CKD. Results A total of 989 subjects were included in the study, with a median age of 79 (70, 88) years. The cumulative follow-up were 2 046 person-years, with an average follow-up time of (2.07±0.50) years. There were 183 new cases of CKD, the cumulative incidence of CKD was 18.5%〔95%CI (16.1%, 21.1%) 〕, and the incidence density was 89.4/1 000 person-years. During the follow-up, 9.8% (10/102) , 14.0% (47/335) and 22.8% (126/552) of the older adults in the normal blood pressure, high normal blood pressure and hypertension groups developed CKD, respectively, and the difference was statistically significant among the three groups (χ2=16.40, P

Background As with other chronic diseases, cancer presents a multidimensional state. And many chronic diseases share common risk factors with cancers. The association between a single chronic disease indicator and the risk of cancer is weak, so it is significant to construct a risk score composed of multiple chronic disease indicators and analyze its association with the risk of cancer. Objective To investigate the association between chronic disease risk score and cancer risk. Methods This study selected a total of 18 009 eligible individuals who had participated in Tianjin Chronic Disease Risk and Health Management Cohort Study and undergone physical examination in Health Management Center, Tianjin Medical University General Hospital from January 2015 to December 2019. All subjects completed the health risk assessment questionnaire, physical examination, and laboratory examination. Follow-up ended on the day of cancer occurrence or the day of follow-up termination (December 31, 2019) . Multivariate Cox regression model was used to evaluate the relationship of the risk of cancer (used as the dependent variable) with each of the chronic disease related indicators〔consisting of BMI, waist circumference, blood pressure, blood glucose, total cholesterol, triglyceride, uric acid, total bilirubin, heart rate, and estimated glomerular filtration rate (used as independent variables) 〕. And then the comprehensive score of chronic disease risk was calculated, and the cancer risk in tertile groups of the score 〔low-score group (

Background: The prognosis of lung cancer varies widely, even in cases wherein the tumor stage, genetic mutation, and treatment regimens are the same. Thus, an effective means for risk stratification of patients with lung cancer is needed. Purpose: To develop and validate a combined model for predicting progression-free survival and risk stratification in patients with advanced anaplastic lymphoma kinase (ALK)-positive non-small cell lung cancer (NSCLC) treated with ensartinib. Material and Methods: We analyzed 203 tumor lesions in 114 patients and evaluated average radiomic feature measures from all lesions at baseline and changes in these features after early treatment (Δradiomic features). Combined models were developed by integrating clinical with radiomic features. The prediction performance and clinical value of the proposed models were evaluated using receiver operating characteristic analysis, calibration curve, decision curve analysis (DCA), and Kaplan–Meier survival analysis. Results: Both the baseline and delta combined models achieved predictive efficacy with a high area under the curve. The calibration curve and DCA indicated the high accuracy and clinical usefulness of the combined models for tumor progression prediction. In the Kaplan–Meier analysis, the delta and baseline combined models, Δradiomic signature, and two selected clinical features could distinguish patients with a higher progression risk within 42 weeks. The delta combined model had the best performance. Conclusion: The combination of clinical and radiomic features provided a prognostic value for survival and progression in patients with NSCLC receiving ensartinib. Radiomic-signature changes after early treatment could be more valuable than those at baseline alone. [ABSTRACT FROM AUTHOR]

Conversion of lignin feedstocks into aromatic chemicals is a highly desirable target for biorefineries, and their depolymerization often requires high temperatures and harsh conditions. In this work, a process optimization involving several factors, including catalyst dosage, reaction temperature, reaction time, oxygen pressure and solvent effect, towards vanillin production from the oxidation of lignin-based vanillyl alcohol in a base-free solvent over a LaFeO3 perovskite was proposed. The results pronounced that the LaFeO3 perovskite exhibited excellent catalytic performance for affording a 100.0% conversion rate of vanillyl alcohol and 33.0% vanillin yield with the addition of 0.1 g LaFeO3 dosage at 180 °C for 2 h under 1.0 MPa O2 supply in ethyl acetate solvent. Furthermore, the presence of oxygen vacancies (Fe3+–□–Fe2+) in the LaFeO3 perovskite contributed to combining with molecular oxygen to generate the active species [Fe3+O2−], which played a key role in the oxidation of vanillyl alcohol and dominated the formation pathway of vanillin. On the other hand, reusability tests manifested that the performance of LaFeO3 decreased gradually with the increase of consecutive runs and was strongly negatively related to the amount of carbon deposits, as carbon deposits would prevent vanillyl alcohol from being accessible to active sites. Nevertheless, the performance of the spent LaFeO3 catalyst could be easily regenerated by a simple calcination approach. Overall, this work provides the possibility of a scalable strategy for constructing LaFeO3-based perovskites as efficient and reusable catalysts for vanillin production from biorefinery lignin. [ABSTRACT FROM AUTHOR]