[This corrects the article DOI: 10.1016/j.apsb.2024.09.010.].

Objective To develop a nomogram-based predictive model for assessing the risk of respiratory distress syndrome(RDS)in premature infants in the high-altitude region of Dali.The predictive performance and clinical applicability of the model will be systematically evaluated to provide evidence-based guidance for the early diagnosis and clinical management of respiratory distress in premature infants.Methods A total of 680 preterm infants admitted to the Dali Maternal and Child Health Hospital between January 2020 and December 2024 were enrolled in the study and randomly divided into a training set(n=476)and a validation set(n=204)at a ratio of 7∶3.Independent predictors were identified through univariate logistic regression and multivariate stepwise regression analyses,and a nomogram model was subsequently developed using R software.The performance of the model,including its discrimination,calibration,stability,and clinical applicability,was evaluated using the receiver operating characteristic curve(ROC),Hosmer-Lemeshow goodness-of-fit test,bootstrap resampling method,and decision curve analysis(DCA).Results The final model incorporated seven independent variables:gestational age,birth weight,Apgar score,blood oxygen saturation,gestational hyperglycemia,prenatal glucocor-ticoid therapy,and maternal history of infection.The areas under the curve(AUCs)for the training and validation sets were 0.88(95%CI:0.84～0.92)and 0.83(95%CI:0.76～0.89),respectively,with all Hosmer-Lemeshow test p-values exceeding 0.05.The bootstrap-corrected AUC was 0.85(95%CI:0.81～0.89).DCA indicated that the model achieved the highest net benefit at a risk threshold range of 10%to 35%.Conclusions This model integrates multiple risk factors associated with the occurrence of RDS in plateau environments,demonstrating robust predictive performance for RDS in preterm infants residing in high-altitude areas such as Dali.It can serve as a valuable tool for risk stratification and clinical decision-making,and may also provide a reference for future multicenter prospective studies.

Objective To investigate and analyze the current status and influencing factors of job burnout among nurses in third-class hospitals in Anhui province,and to provide insights for hospital administrators to optimize nursing practices and en-hance the quality of care at the group level.Methods A convenience sampling method was adopted to conduct a questionnaire survey among nurses from nine third-class hospitals in Anhui Province between September 2021 and December 2021.Results A total of 291 nurses(49.5％)exhibited job burnout.Job burnout scores were negatively correlated with salary satisfaction and ca-reer development satisfaction,and positively correlated with perceived work pressure.Nurses who engaged in physical exercise al-most daily had lower burnout scores than those who never exercised.Additionally,nurses satisfied with sleep quality reported low-er burnout scores than those dissatisfied.Conclusion Job burnout among nurses in third-class hospitals in Anhui Province is at a moderate level and requires urgent improvement.Hospital administrators should attach great importance to the current situation of job burnout among nursing staff,by taking both individual and organizational factors into account,implement targeted measures to alleviate the job burnout of nurses.

Objective To develop a nomogram-based predictive model for assessing the risk of respiratory distress syndrome(RDS)in premature infants in the high-altitude region of Dali.The predictive performance and clinical applicability of the model will be systematically evaluated to provide evidence-based guidance for the early diagnosis and clinical management of respiratory distress in premature infants.Methods A total of 680 preterm infants admitted to the Dali Maternal and Child Health Hospital between January 2020 and December 2024 were enrolled in the study and randomly divided into a training set(n=476)and a validation set(n=204)at a ratio of 7∶3.Independent predictors were identified through univariate logistic regression and multivariate stepwise regression analyses,and a nomogram model was subsequently developed using R software.The performance of the model,including its discrimination,calibration,stability,and clinical applicability,was evaluated using the receiver operating characteristic curve(ROC),Hosmer-Lemeshow goodness-of-fit test,bootstrap resampling method,and decision curve analysis(DCA).Results The final model incorporated seven independent variables:gestational age,birth weight,Apgar score,blood oxygen saturation,gestational hyperglycemia,prenatal glucocor-ticoid therapy,and maternal history of infection.The areas under the curve(AUCs)for the training and validation sets were 0.88(95%CI:0.84～0.92)and 0.83(95%CI:0.76～0.89),respectively,with all Hosmer-Lemeshow test p-values exceeding 0.05.The bootstrap-corrected AUC was 0.85(95%CI:0.81～0.89).DCA indicated that the model achieved the highest net benefit at a risk threshold range of 10%to 35%.Conclusions This model integrates multiple risk factors associated with the occurrence of RDS in plateau environments,demonstrating robust predictive performance for RDS in preterm infants residing in high-altitude areas such as Dali.It can serve as a valuable tool for risk stratification and clinical decision-making,and may also provide a reference for future multicenter prospective studies.

Objective To investigate and analyze the current status and influencing factors of job burnout among nurses in third-class hospitals in Anhui province,and to provide insights for hospital administrators to optimize nursing practices and en-hance the quality of care at the group level.Methods A convenience sampling method was adopted to conduct a questionnaire survey among nurses from nine third-class hospitals in Anhui Province between September 2021 and December 2021.Results A total of 291 nurses(49.5％)exhibited job burnout.Job burnout scores were negatively correlated with salary satisfaction and ca-reer development satisfaction,and positively correlated with perceived work pressure.Nurses who engaged in physical exercise al-most daily had lower burnout scores than those who never exercised.Additionally,nurses satisfied with sleep quality reported low-er burnout scores than those dissatisfied.Conclusion Job burnout among nurses in third-class hospitals in Anhui Province is at a moderate level and requires urgent improvement.Hospital administrators should attach great importance to the current situation of job burnout among nursing staff,by taking both individual and organizational factors into account,implement targeted measures to alleviate the job burnout of nurses.

The adipose tissue of mammals represents an important energy-storing and endocrine organ, and its dysfunction is relevant to the onset of several health problems, including non-alcoholic fatty liver disease (NAFLD). However, whether treatments targeting adipose dysfunction could alleviate NAFLD has not been well-studied. Adrenomedullin 2 (ADM2), belonging to the CGRP superfamily, is a protective peptide that has been shown to inhibit adipose dysfunction. To investigate the adipose tissue-specific effects of ADM2 on NAFLD, adipose-specific ADM2-overexpressing transgenic (aADM2-tg) mice were developed. When fed a high-fat diet, aADM2-tg mice displayed decreased hepatic triglyceride accumulation compared to wild-type mice, which was attributable to the inhibition of hepatic de novo lipogenesis. Results from lipidomics studies showed that ADM2 decreased ceramide levels in adipocytes through the upregulation of ACER2, which catalyzes ceramide catabolism. Mechanically, activation of adipocyte HIF2α was required for ADM2 to promote ACER2-dependent adipose ceramide catabolism as well as to decrease hepatic lipid accumulation. This study highlights the role of ADM2 and adipose-derived ceramide in NAFLD and suggests that its therapeutic targeting could alleviate disease symptoms.

Objective The reliability and validity of the SGGC-Net-based motion capture system(SGGC-Net system)and SIMI system for parsing walking gait were compared using a three-dimensional(3D)motion capture system(Vicon)with marker points as a reference standard.Methods Thirty healthy college students were recruited,and their gait characteristics while walking on a treadmill were analyzed.Kinematic data were collected using the Vicon system,and video data were collected synchronously using four cameras to obtain the right shoulder,elbow,hip,knee,and ankle joint angles.Reliability was assessed using intraclass correlation coefficients(ICCs)with 95％confidence intervals and standard error of measurement(SEM).Validity was assessed using multiple correlation coefficients(MCCs)and root mean square errors(RMSEs).Results The ICCs of the maximum and minimum 3D coordinate angles of the upper and lower limb joints of the SGGC-Net system ranged from 0.798-0.990 with an SEM of 0.04°-0.95°,and the ICCs of the SIMI system ranged from 0.650-0.967,with an SEM of 0.31°-1.24°.The ICCs of the SGGC-Net system were higher than those of the SIMI system for all joint angles except for the minimum hip and maximum knee angles.Compared to the joint angle curves derived from the SIMI system,the MCCs of the curves derived from the SGGC-Net system ranged from 0.945-0.996,with RMSEs of 1.44°-4.65°,and the multiple correlation coefficients of the SIMI system ranged from 0.815-0.986,with RMSEs of 2.56°-9.99°.The MCCs of the SGGC-Net system were greater than those of the SIMI system at all angles except for the ankle joint.The RMSEs of the SGGC-Net system were smaller than those of the SIMI system at all angles except for the ankle joints.Conclusions The SGGC-Net system has better reliability and validity than the SIMI system in most of the variables,and it has better repeatability and accuracy in analyzing walking gait.It can be applied to motion capture environments without marker points,such as technical analysis of athletes'movements and clinical gait analysis of special populations.

BACKGROUND: In China, lung cancer remains the cancer with the highest incidence and mortality rate. Among early-stage lung adenocarcinomas (LUAD), the micropapillary (MPP) component is prevalent and typically exhibits high aggressiveness, significantly correlating with early metastasis, lymphatic infiltration, and reduced five-year survival rates. Therefore, the study is to explore the similarities and differences between MPP and non-micropapillary (non-MPP) components in malignant pulmonary nodules characterized by GGOs in early-stage LUAD, identify unique mutational features of the MPP component and analyze the relationship between the ZNF469 gene, a member of the zinc-finger protein family, and the prognosis of early-stage LUAD, as well as its correlation with immune infiltration. METHODS: A total of 31 malignant pulmonary nodules of LUAD were collected and dissected into paired MPP and non-MPP components using microdissection. Whole-exome sequencing (WES) was performed on the components of early-stage malignant pulmonary nodules. Mutational signatures analysis was conducted using R packages such as maftools, Nonnegative Matrix Factorization (NMF), and Sigminer to unveil the genomic mutational characteristics unique to MPP components in invasive LUAD compared to other tumor tissues. Furthermore, we explored the expression of the ZNF469 gene in LUAD using The Cancer Genome Atlas (TCGA) database to investigate its potential association with the prognosis. We also investigated gene interaction networks and signaling pathways related to ZNF469 in LUAD using the GeneMANIA database and conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Lastly, we analyzed the correlation between ZNF469 gene expression and levels of immune cell infiltration in LUAD using the TIMER and TISIDB databases. RESULTS: MPP components exhibited a higher number of genomic variations, particularly the 13th COSMIC (Catalogue of Somatic Mutations in Cancer) mutational signature characterized by the activity of the cytidine deaminase APOBEC family, which was unique to MPP components compared to non-MPP components in tumor tissues. This suggests the potential involvement of APOBEC in the progression of MPP components in early-stage LUAD. Additionally, MPP samples with high similarity to APOBEC signature displayed a higher tumor mutational burden (TMB), indicating that these patients may be more likely to benefit from immunotherapy. The expression of ZNF469 was significantly upregulated in LUAD compared to normal tissue, and was associated with poor prognosis in LUAD patients (P<0.05). Gene interaction network analysis and GO/KEGG enrichment analysis revealed that COL6A1, COL1A1, COL1A2, TGFB2, MMP2, COL8A2 and C2CD4C interacted with ZNF469 and were mainly involved in encoding collagen proteins and participating in the constitution of extracellular matrix. ZNF469 expression was positively correlated with immune cell infiltration in LUAD (P<0.05). CONCLUSIONS The study has unveiled distinctive mutational signatures in the MPP components of early-stage invasive LUAD in the Asian population. Furthermore, we have identified that the elevated expression of mutated ZNF469 impacts the prognosis and immune infiltration in LUAD, suggesting its potential as a diagnostic and prognostic biomarker in LUAD.
Humans ; Lung Neoplasms/genetics* ; Adenocarcinoma of Lung/genetics* ; China ; Prognosis ; Transcription Factors

BACKGROUND:With the increase of patients with cubital tunnel syndrome,ulnar groove plasty does not affect the normal anatomical structure and distribution of the ulnar nerve,which is one of the main surgical procedures for the treatment of cubital tunnel syndrome.3D printing combined with ulnar groove plasty can more accurately position the expansion depth and width of the ulnar groove to avoid some surgical complications. OBJECTIVE:To investigate the effect of 3D printing technology combined with ulnar groove plasty on nerve electrophysiology and prognosis in patients with cubital tunnel syndrome. METHODS:A total of 70 patients with moderate and severe cubital tunnel syndrome who were treated in Cangzhou Integrated Traditional Chinese and Western Medicine Hospital from March 2020 to March 2022 were selected as the study subjects.They were divided into two groups,with 35 cases in each group.The control group underwent traditional ulnar groove plasty.The observation group underwent 3D printing technology combined with ulnar groove plasty.The patients were followed up for 3 months.The clinical efficacy,latency,amplitude of compound muscle action potential of abductor pollicis brevis of the affected limb and ulnar nerve motor conduction velocity,grip strength on the affected side,pinch strength of the middle and thumb fingers,S-W monofilament of the little finger,two-point discrimination of the little finger,and Disabilities of the Arm,Shoulder and Hand Questionnaire score were compared between the two groups. RESULTS AND CONCLUSION:(1)Compared with the control group(74%),the excellent and good rate was significantly higher in the observation group(91%)(P<0.05).(2)Compared with pre-treatment,the latency of compound muscle action potential of abductor pollicis brevis of affected limb was significantly shorter and the wave amplitude and ulnar nerve motor conduction velocity were significantly higher in the two groups after treatment.The latency was significantly shorter and the wave amplitude and ulnar nerve motor conduction velocity were significantly higher in the observation group than those in the control group(P<0.05).(3)Compared with pre-treatment,the grip strength,middle finger and thumb pinch strength of the affected side,S-W monofilament of the little finger and two-point discrimination of the little finger were significantly decreased in the two groups after treatment.The grip strength,middle finger and thumb pinch strength on the affected side were greater,S-W monofilament of the little finger and two-point discrimination of the little finger were significantly smaller in the observation group than those in the control group(P<0.05).(4)Compared with pre-treatment,the Disabilities of the Arm,Shoulder and Hand Questionnaire scores of the two groups were significantly reduced after treatment,and the Disabilities of the Arm,Shoulder and Hand Questionnaire scores of the observation group were significantly lower than those of the control group(P<0.05).(5)It is concluded that 3D printing technology combined with ulnar groove plasty in the treatment of cubital tunnel syndrome can effectively improve its clinical efficacy,promote the neurophysiological recovery of patients,and enhance the function of fingers and upper limbs,which has high clinical application value.