Objective To determine the prognostic biomarkers and new therapeutic targets of the lung adenocarcinoma (LUAD), based on which to establish a prediction model for the survival of LUAD patients. Methods An integrative analysis was conducted on gene expression and clinicopathologic data of LUAD, which were obtained from the UCSC database. Subsequently, various methods, including screening of differentially expressed genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA), were employed to analyze the data. Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to establish an assessment model. Based on this model, we constructed a nomogram to predict the probable survival of LUAD patients at different time points (1-year, 2-year, 3-year, 5-year, and 10-year). Finally, we evaluated the predictive ability of our model using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves. The validation group further verified the prognostic value of the model. Results The different-grade pathological subtypes' DEGs were mainly enriched in biological processes such as metabolism of xenobiotics by cytochrome P450, natural killer cell-mediated cytotoxicity, antigen processing and presentation, and regulation of enzyme activity, which were closely related to tumor development. Through Cox regression and LASSO regression, we constructed a reliable prediction model consisting of a five-gene panel (MELTF, MAGEA1, FGF19, DKK4, C14ORF105). The model demonstrated excellent specificity and sensitivity in ROC curves, with an area under the curve (AUC) of 0.675. The time-dependent ROC analysis revealed AUC values of 0.893, 0.713, and 0.632 for 1-year, 3-year, and 5-year survival, respectively. The advantage of the model was also verified in the validation group. Additionally, we developed a nomogram that accurately predicted survival, as demonstrated by calibration curves and C-index. Conclusion We have developed a prognostic prediction model for LUAD consisting of five genes. This novel approach offers clinical practitioners a personalized tool for making informed decisions regarding the prognosis of their patients.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Objective:To conduct a survey on the current situation of family nursing assistants for elderly people with chronic diseases and disability in the community from multiple dimensions such as personal information, work status, professional quality, difficult problems encountered in the nursing process, and solutions.Methods:From April to August 2022, a questionnaire survey was conducted among family nursing assistants of elderly people with chronic diseases and disability in six communities in Beijing using cluster sampling. We conducted a survey and analysis on the current situation of family nursing assistants for elderly people with chronic diseases and disability in the community from multiple dimensions, based on the presence or absence of professional qualification certificates for nursing assistants.Results:The study included 611 nursing assistants, aged (49.99±6.82) years, mainly composed of rural registered residence and education level below junior high school. Only 43.04% (263/611) of nursing assistants had professional qualification certificates for nursing assistants. Compared with those without professional qualification certificate for nursing assistants, those with professional qualification certificate for nursing assistants had statistical differences in gender, registered residence, education level, daily working hours, specific work content of care, monthly income, solutions to reduce the mobility of elderly nursing assistants, working years, feelings of caring for the daily health of elderly people with chronic diseases, psychological status, self-awareness about job, training to improve work skills, basic medical knowledge training, and reasons for not participating in training ( P<0.05). Nursing assistants reported a lack of medical and nursing knowledge and an urgent need for professional training and guidance from medical and nursing staff during the investigation of difficult issues encountered in their work. Conclusions:It is necessary to strengthen and improve the training of nursing professionals and basic medical knowledge of family nursing assistants for elderly people with chronic diseases and disability before and during work, which can help improve the level and quality of care provided by family nursing assistants.

ObjectiveTo identify acute phase features associated with the prognosis of traumatic brain injury （TBI）. MethodsThrough two traditional strategies， correlation analysis and prediction model， and one innovative research strategy based on feature deconstruction， a retrospective analysis was conducted using demographic， acute phase and chronic phase features of 354 TBI patients to identify acute phase features associated with activities of daily living （ADL） in chronic phase of TBI. For feature deconstruction strategy， the LASSO （Least Absolute Shrinkage and Selection Operator） algorithm was used to build a prediction model that could effectively predict ADL based on non-ADL chronic phase features. The model could indicate the key chronic phase dimensions determining the ADL in TBI patients. We then identified demographic and acute phase variables that were significantly associated with these key chronic phase features. ResultsThe feature deconstruction strategy revealed that ADL could be deconstructed into chronic phase dimensions such as weak limbs in TBI population. Importantly， to the best of our knowledge， this strategy revealed for the first time the association of these important acute phase features with specific chronic phase impairment features. For example， TBI patients had a higher risk for chronic phase recent memory impairment if they had a prolonged coma time and low GCS scores at acute phase ［scaled coma time OR95%CI = 94.288 （35.095， 273.231）； scaled GCS OR95%CI = 0.068 （0.030， 0.147）］； the patients had a higher risk for insight impairment and disorientation at chronic phase if they had hydrocephalus at acute phase ［insight impairment OR95%CI = 6.760 （3.653，12.855） ； disorientation OR95%CI = 6.538 （3.530， 12.490）］. All strategies showed that the strongest risk factors for ADL damage in the chronic phase included prolonged coma time and low GCS scores as well as hydrocephalus. ConclusionThis study provides an innovative research strategy to establish the association between acute injury features and chronic recovery features， and to identify demographic and acute phase features associated with the prognosis of TBI.

Emerging SARS-CoV-2 variants have made COVID-19 convalescents susceptible to re-infection and have raised concern about the efficacy of inactivated vaccination in neutralization against emerging variants and antigen-specific B cell response. To this end, a study on a long-term cohort of 208 participants who have recovered from COVID-19 was conducted, and the participants were followed up at 3.3 (Visit 1), 9.2 (Visit 2), and 18.5 (Visit 3) months after SARS-CoV-2 infection. They were classified into three groups (no-vaccination (n = 54), one-dose (n = 62), and two-dose (n = 92) groups) on the basis of the administration of inactivated vaccination. The neutralizing antibody (NAb) titers against the wild-type virus continued to decrease in the no-vaccination group, but they rose significantly in the one-dose and two-dose groups, with the highest NAb titers being observed in the two-dose group at Visit 3. The NAb titers against the Delta variant for the no-vaccination, one-dose, and two-dose groups decreased by 3.3, 1.9, and 2.3 folds relative to the wild-type virus, respectively, and those against the Omicron variant decreased by 7.0, 4.0, and 3.8 folds, respectively. Similarly, the responses of SARS-CoV-2 RBD-specific B cells and memory B cells were boosted by the second vaccine dose. Results showed that the convalescents benefited from the administration of the inactivated vaccine (one or two doses), which enhanced neutralization against highly mutated SARS-CoV-2 variants and memory B cell responses. Two doses of inactivated vaccine among COVID-19 convalescents are therefore recommended for the prevention of the COVID-19 pandemic, and vaccination guidelines and policies need to be updated.

Objective:To investigate factors affecting the care needs of community-dwelling elderly people.Methods:A cross-sectional study was conducted.A face-to-face questionnaire survey was conducted using random samples of elderly people aged 60 years and above in six communities in Beijing to analyze the prevalence of diseases and care needs of elderly people in different age groups, and factors influencing elderly people's care needs.Univariate and multivariate Logistic regression analyses were used to analyze factors influencing these individuals' care needs based on basic personal situations, physical health status, economic situations, psychological and social status.Results:A total of 546 community-dwelling elderly people were recruited, with a mean age of(77.88±9.12)years.Cardiovascular and cerebrovascular diseases were consistently found to be the most common diseases in all age groups(60-69 years: 57.81% or 74/128; 70-79 years: 56.49% or 87/154; 80-89 years: 76.74% or 165/215; 90 years or over: 83.67% or 41/49); Care needs for groups aged 70 year or over were higher than for the group aged between 60-69( χ2=47.209, P<0.001). Elderly people with more than 2 diseases, long-term use of more than 1 drug, occasional constipation, and feeling loneliness or holding the view that caregivers do not need basic medical knowledge had a low need for care( OR=0.172, 0.006, 0.088, 0.112, 0.005, respectively, P<0.05 for all). Those with only one child, a history of pain, willing to pay more than ￥4 000 to hire a care-giver, or with partial disability were more likely to feel the need for care( OR=548.732, 5.941, 4.265, 7.373, respectively, P<0.05 for all). Conclusions:The care needs of elderly people living at home and aged over 60 in 6 communities in Beijing are affected by multiple factors such as their family structure, physical health status, economic status and psychological status.Elderly people need to have and accept multi-dimensional care services provided by knowledgeable and skillful caregivers to improve their quality of life.

Corticosteroid switching can reverse abiraterone resistance in some patients with metastatic castration-resistant prostate cancer (mCRPC). Here, we investigated the potential biomarkers for predicting the efficacy of corticosteroid switching during treatment with abiraterone acetate (AA). We retrospectively analyzed 101 mCRPC patients receiving corticosteroid switching from West China Hospital and Sun Yat-Sen University Cancer Center between January 2016 and December 2018. All cases received AA plus prednisone as first-line therapy during mCRPC. Primary end points were biochemical progression-free survival (bPFS) and overall survival (OS). The risk groups were defined based on multivariate analysis. A total of 42 (41.6%) and 25 (24.8%) patients achieved 30% and 50% decline in prostate-specific antigen (PSA), respectively, after corticosteroid switching. The median bPFS and median OS on AA plus dexamethasone were 4.9 (95% confidence interval [CI]: 3.7-6.0) months and 18.8 (95% CI: 16.2-30.2) months, respectively. Aldo-keto reductase family 1 member C3 (AKR1C3) expression (hazard ratio [HR]: 2.15, 95% Cl: 1.22-3.80, P = 0.008) and baseline serum alkaline phosphatase (ALP; HR: 4.95, 95% Cl: 2.40-10.19, P < 0.001) were independent predictors of efficacy before corticosteroid switching in the multivariate analysis of bPFS. Only baseline serum ALP >160 IU l^-1 (HR: 3.41, 95% Cl: 1.57-7.38, P = 0.002) together with PSA level at switch ≥50 ng ml^-1 (HR: 2.59, 95% Cl: 1.22-5.47, P = 0.013) independently predicted poorer OS. Based on the predictive factors in multivariate analysis, we developed two risk stratification tools to select candidates for corticosteroid switching. Detection of serum ALP level, PSA level, and tissue AKR1C3 expression in mCRPC patients could help make clinical decisions for corticosteroid switching.
Abiraterone Acetate/therapeutic use* ; Adrenal Cortex Hormones/therapeutic use* ; Androstenes ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Dexamethasone/therapeutic use* ; Disease-Free Survival ; Humans ; Male ; Prednisone/therapeutic use* ; Prostate-Specific Antigen ; Prostatic Neoplasms, Castration-Resistant/pathology* ; Retrospective Studies ; Treatment Outcome

Metabolic-associated fatty liver disease (MAFLD), which is previously known as non-alcoholic fatty liver disease (NAFLD), represents a major health concern worldwide with limited therapy. Here, we provide evidence that ferroptosis, a novel form of regulated cell death characterized by iron-driven lipid peroxidation, was comprehensively activated in liver tissues from MAFLD patients. The canonical-GPX4 (cGPX4), which is the most important negative controller of ferroptosis, is downregulated at protein but not mRNA level. Interestingly, a non-canonical GPX4 transcript-variant is induced (inducible-GPX4, iGPX4) in MAFLD condition. The high fat-fructose/sucrose diet (HFFD) and methionine/choline-deficient diet (MCD)-induced MAFLD pathologies, including hepatocellular ballooning, steatohepatitis and fibrosis, were attenuated and aggravated, respectively, in cGPX4-and iGPX4-knockin mice. cGPX4 and iGPX4 isoforms also displayed opposing effects on oxidative stress and ferroptosis in hepatocytes. Knockdown of iGPX4 by siRNA alleviated lipid stress, ferroptosis and cell injury. Mechanistically, the triggered iGPX4 interacts with cGPX4 to facilitate the transformation of cGPX4 from enzymatic-active monomer to enzymatic-inactive oligomers upon lipid stress, and thus promotes ferroptosis. Co-immunoprecipitation and nano LC-MS/MS analyses confirmed the interaction between iGPX4 and cGPX4. Our results reveal a detrimental role of non-canonical GPX4 isoform in ferroptosis, and indicate selectively targeting iGPX4 may be a promising therapeutic strategy for MAFLD.

BACKGROUND: Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly spread throughout the world. In this study, we aimed to identify the risk factors for severe COVID-19 to improve treatment guidelines. METHODS: A multicenter, cross-sectional study was conducted on 313 patients hospitalized with COVID-19. Patients were classified into two groups based on disease severity (nonsevere and severe) according to initial clinical presentation. Laboratory test results and epidemiological and clinical characteristics were analyzed using descriptive statistics. Univariate and multivariate logistic regression models were used to detect potential risk factors associated with severe COVID-19. RESULTS: A total of 289 patients (197 nonsevere and 92 severe cases) with a median age of 45.0 (33.0, 61.0) years were included in this study, and 53.3% (154/289) were male. Fever (192/286, 67.1%) and cough (170/289, 58.8%) were commonly observed, followed by sore throat (49/289, 17.0%). Multivariate logistic regression analysis suggested that patients who were aged ≥ 65 years (OR: 2.725, 95% confidence interval [CI]: 1.317-5.636; P = 0.007), were male (OR: 1.878, 95% CI: 1.002-3.520, P = 0.049), had comorbid diabetes (OR: 3.314, 95% CI: 1.126-9.758, P = 0.030), cough (OR: 3.427, 95% CI: 1.752-6.706, P < 0.001), and/or diarrhea (OR: 2.629, 95% CI: 1.109-6.231, P = 0.028) on admission had a higher risk of severe disease. Moreover, stratification analysis indicated that male patients with diabetes were more likely to have severe COVID-19 (71.4% vs. 28.6%, χ2 = 8.183, P = 0.004). CONCLUSIONS The clinical characteristics of those with severe and nonsevere COVID-19 were significantly different. The elderly, male patients with COVID-19, diabetes, and presenting with cough and/or diarrhea on admission may require close monitoring to prevent deterioration.
Adult ; COVID-19/pathology* ; China/epidemiology* ; Comorbidity ; Cough ; Cross-Sectional Studies ; Diarrhea ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Risk Factors

Objective    To investigate CT image features of ground glass opacity (GGO)-like 2019 novel coronavirus (2019-nCoV, SARS-CoV-2) pneumonia (COVID-19) and early-stage lung carcinoma for control and therapy of this acute severe respiratory disease. Methods    We retrospectively analyzed the clinical data of 71 GGO-like COVID-19 patients who received therapy in Tongji Hospital of Huazhong University of Science and Technology between January 17th and February 13th, 2020. These 71 GGO-like COVID-19 patients were as a COVID-19 group. And 80 GGO-like early-stage lung carcinoma patients who underwent resection were as a lung carcinoma group. Clinical features such as sex, age, symptoms including fever, cough, fatigue, myalgia and dyspnea, detailed exposure history, confirmatory test (SARS-CoV-2 quantitative RT-PCR) and pathologic diagnosis were analyzed. Results    Significantly different symptoms and exposure history between the two groups were detected (P<0.001). More lesions (61 patients at percentage of 85.92%, P<0.001), relative peripheral locations (69 patients at percentage of 97.18%, P<0.001) and larger opacities (65 patients at percentage of 91.55%, P<0.001) were found in chest radiographs of GGO-like COVID-19 compared with GGO-like early-stage lung carcinoma. Similar features appeared in early-stage of COVID-19 and lung carcinoma, while pneumonia developed into more extensive and basal predominant lung consolidation. Coexistence of GGO-like COVID-19 and early-stage lung carcinoma might occur. Conclusion    Considering these similar and unique features of GGO-like COVID-19 and early-stage lung carcinoma, it is necessary to understand short time re-examination of chest radiographs and other diagnostic methods of these two diseases. We believe that the findings reported here are important for diagnosis and control of COVID-19 in China.