Hospice care for children with cancer is an important issue in the medical field， involving multidisciplinary comprehensive care and concern. Condensing the development of hospice care from the perspective of the needs of children with cancer and their families， as well as identifying the challenges in the supply of hospice care services for children with cancer， are of great significance for promoting the development of pediatric hospice care in China and improving the quality of life of children with cancer and their families. By sorting out the overview and necessity of hospice care and analyzing the hospice care needs of children with cancer and their families， it was concluded that children with cancer have the needs for pain relief， high-quality care， companionship， and security， whereas their families have the needs for emotional support， professional guidance， and timely information. The paper summarized the current problems in hospice care for children with cancer and their families， such as a lack of medical resources， inadequate psychological support， poor doctor-patient communication， and moral and ethical dilemmas. Based on these， this paper proposed some measures， such as adhering to child-centered care and implementing holistic care services； broadening the supply of medical resources and establishing multidisciplinary integration mechanisms； focusing on the needs of children’s families and strengthening the professional skills of nursing staff； as well as emphasizing the protection of patients’ rights and interests and breaking the moral and ethical dilemmas.

ObjectiveThis study aimed to explore the correlation between the quality of life （QOL） and different traditional Chinese medicine （TCM） syndromes in patients with myasthenia gravis （MG）， identifying potential influencing factors to provide new insights for clinical interventions and improving the QOL of patients with MG. MethodsA questionnaire survey was conducted on 93 adults with MG who visited the Department of Neurology at the Affiliated Hospital of Changchun University of Chinese Medicine from March 2023 to January 2024. Statistical analysis was performed on the clinical data collected using SPSS 24.0 software. ResultsAmong the 93 patients with MG， the average score for myasthenia gravis quality of life-15 （MGQOL-15） was 17.65±6.27， and that for the 36-item short form health survey （SF-36） was （106.13±11.83） scores. The QOL was rated as good for 16 patients and moderate for 77 patients. There were no statistically significant differences in the scores of MGQOL-15， SF-36， and their individual scales by gender or education level. Age showed statistically significant differences in MGQOL-15 and the role physical （RP） scale （P<0.05）， and occupational type showed significant differences in the vitality （VT） scale （P<0.01）. The Myasthenia Gravis Foundation of America （MGFA） classification had statistical significance on the total SF-36 score （P<0.01）， VT scale （P<0.01）， role emotional （RE） scale （P<0.05）， social functioning （SF） scale （P<0.05）， and physical functioning （PF） scale （P<0.01）. Among patients with different TCM syndromes， there were significant differences in MGQOL-15 scores （F=4.919， P<0.01）. Moreover， significant differences were observed in SF-36 scores （P<0.01）， VT scale （P<0.01）， RE scale （P<0.05）， mental health （MH） scale （P<0.01）， and SF scale （P<0.05）. ConclusionFactors affecting the QOL of patients with MG include age， occupational type， and clinical classification of MG. Specifically， a greater impact on the QOL of older patients is observed， while physical laborers have a poorer QOL compared to non-physical laborers. Patients classified as MGFA type Ⅱ and higher have a poorer QOL. Additionally， there is a potential correlation between the QOL and TCM syndromes， with patients presenting with spleen and kidney Qi deficiency having a lower QOL than those with spleen and stomach Qi deficiency or Qi and Yin deficiency， which is particularly evident in the VT， RE， MH， and SF scales.

Objective To investigate the value of artificial intelligence-assisted compressed sensing (ACS) technology for intravenous gadolinium contrast-enhanced magnetic resonance imaging of the inner ear using three-dimensional fluid-attenuated inversion recovery (3D-FLAIR) sequence. Methods The patients received gadolinium contrast-enhanced magnetic resonance imaging using ACS and united compressed sensing (uCS) 3D-FLAIR at Zhongshan Hospital, Fudan University from January to November 2024 were prospectively enrolled. The repetition time was 16 000 ms, and acquisition time was 6 min 40 s and 10 min 24 s in ACS 3D-FLAIR and uCS 3D-FLAIR, respectively. The images on the two sequences were evaluated independently by two radiologists. The image quality of the two sequences was subjectively evaluated and compared. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were compared between the two sequences. The grading consistencies using two sequences and between the two doctors were analyzed. Results There was no statistically difference in subjective score of image quality between the two sequences. SNR and CNR of the ACS 3D-FLAIR sequence were significantly higher than those of the uCS 3D-FLAIR sequence (P＜0.001). The kappa values of grades of cochlear and vestibular endolymphatic hydrops were 0.942 and 0.888 using two sequences (P＜0.001). The kappa values of grades of cochlear and vestibular endolymphatic hydrops using the ACS 3D-FLAIR sequence between the two doctors were 0.784 and 0.831, respectively (P＜0.001); the kappa values of grades of cochlear and vestibular endolymphatic hydrops using uCS 3D-FLAIR sequence between the two doctors were 0.725 and 0.756, respectively (P＜0.001). Conclusions ACS 3D-FLAIR could provide higher SNR and CNR than uCS 3D-FLAIR, and is more suitable for intravenous gadolinium contrast-enhanced magnetic resonance imaging of the inner ear; the endolymphatic hydrops grades using ACS 3D-FLAIR is similar to use uCS 3D-FLAIR.

ObjectiveTo study the effect of Zuoguiwan on the development of skin barrier in the neonatal rat model of congenital kidney deficiency and unveil the underlying mechanism. MethodsSixty rats were paired in a female-to-male ratio of 2∶1， and the pregnant rats were assigned into control， congenital kidney deficiency， and low- and high-dose （2 and 8 g·kg^-1， respectively） Zuoguiwan groups. The pregnant rats in other groups except the control group were exposed to chronic unpredictable mild stress for the modeling of congenital kidney deficiency. The rats in the control group and congenital kidney deficiency group were administrated with normal saline by gavage， and those in Zuoguiwan groups with Zuoguiwan suspension by gavage from day 1 of pregnancy. The serum level of interleukin-6 （IL-6） in the neonatal rats on the day of birth was determined by enzyme-linked immunosorbent assay. The full-thickness skin of neonatal rats on the day of birth was removed from the same position on the back and stained with hematoxylin-eosin for observation of histopathological changes， measurement of skin thickness， and counting of hair follicles. Terminal deoxynucleotidyl transferase-mediated nick end labeling was used to detect the apoptosis of skin tissue cells. The expression of interleukin-6 receptor （IL-6R） and interleukin-17A （IL-17A） in the skin tissue was assessed by immunohistochemistry and Western blot， and the expression of occludin， connexin 43 （Cx43）， and zonula occludens-1 （ZO-1） in the skin tissue was assessed by immunofluorescence and Western blot. ResultsCompared with those in the control group， the neonatal rats in the congenital kidney deficiency group showed a rise in the serum IL-6 level （P<0.01）， decreases in stratum corneum thickness， skin thickness， and number of hair follicles （P<0.01）， increases in the expression of IL-6R and IL-17A in the skin tissue （P<0.01） and the number of apoptotic cells （P<0.01）， and decreases in the expression of occludin， Cx43， ZO-1 （P<0.05）. Compared with the congenital kidney deficiency group， the low- and high-dose Zuoguiwan groups showed declines in serum IL-6 level （P<0.05）. The low-dose group showed increased number of hair follicles （P<0.05）， and the high-dose group presented thickened stratum corneum （P<0.01）， increased number of hair follicles （P<0.01）， and down-regulated expression of IL-6R and IL-17A in the skin tissue （P<0.05， P<0.01）. Both Zuoguiwan groups showcased decreased number of apoptotic cells （P<0.05， P<0.01）， and the high-dose group showed up-regulated expression of occludin， Cx43， and ZO-1 in the skin tissue （P<0.05， P<0.01）. ConclusionZuoguiwan can reduce the levels of IL-6 in the serum and IL-6R and IL-17A in the skin tissue and improve the expression of intercellular junction proteins， thereby ameliorating the abnormal development of the skin barrier in the neonatal rat model of congenital kidney deficiency.

ObjectiveTo study the effect of Zuoguiwan on the development of skin barrier in the neonatal rat model of congenital kidney deficiency and unveil the underlying mechanism. MethodsSixty rats were paired in a female-to-male ratio of 2∶1， and the pregnant rats were assigned into control， congenital kidney deficiency， and low- and high-dose （2 and 8 g·kg^-1， respectively） Zuoguiwan groups. The pregnant rats in other groups except the control group were exposed to chronic unpredictable mild stress for the modeling of congenital kidney deficiency. The rats in the control group and congenital kidney deficiency group were administrated with normal saline by gavage， and those in Zuoguiwan groups with Zuoguiwan suspension by gavage from day 1 of pregnancy. The serum level of interleukin-6 （IL-6） in the neonatal rats on the day of birth was determined by enzyme-linked immunosorbent assay. The full-thickness skin of neonatal rats on the day of birth was removed from the same position on the back and stained with hematoxylin-eosin for observation of histopathological changes， measurement of skin thickness， and counting of hair follicles. Terminal deoxynucleotidyl transferase-mediated nick end labeling was used to detect the apoptosis of skin tissue cells. The expression of interleukin-6 receptor （IL-6R） and interleukin-17A （IL-17A） in the skin tissue was assessed by immunohistochemistry and Western blot， and the expression of occludin， connexin 43 （Cx43）， and zonula occludens-1 （ZO-1） in the skin tissue was assessed by immunofluorescence and Western blot. ResultsCompared with those in the control group， the neonatal rats in the congenital kidney deficiency group showed a rise in the serum IL-6 level （P<0.01）， decreases in stratum corneum thickness， skin thickness， and number of hair follicles （P<0.01）， increases in the expression of IL-6R and IL-17A in the skin tissue （P<0.01） and the number of apoptotic cells （P<0.01）， and decreases in the expression of occludin， Cx43， ZO-1 （P<0.05）. Compared with the congenital kidney deficiency group， the low- and high-dose Zuoguiwan groups showed declines in serum IL-6 level （P<0.05）. The low-dose group showed increased number of hair follicles （P<0.05）， and the high-dose group presented thickened stratum corneum （P<0.01）， increased number of hair follicles （P<0.01）， and down-regulated expression of IL-6R and IL-17A in the skin tissue （P<0.05， P<0.01）. Both Zuoguiwan groups showcased decreased number of apoptotic cells （P<0.05， P<0.01）， and the high-dose group showed up-regulated expression of occludin， Cx43， and ZO-1 in the skin tissue （P<0.05， P<0.01）. ConclusionZuoguiwan can reduce the levels of IL-6 in the serum and IL-6R and IL-17A in the skin tissue and improve the expression of intercellular junction proteins， thereby ameliorating the abnormal development of the skin barrier in the neonatal rat model of congenital kidney deficiency.

Objective: To classify the ABO blood group phenotypes of 5 cases from a family, and to explore the molecular mechanism for reduced B antigen expression in ABO blood group system. Methods: Serological identification of the ABO blood group was performed using microcolumn gel assay and saline tube method. The soluble antigens in saliva were detected by the agglutination inhibition assay. The full-length sequences and upstream promoter regions of ABO gene were sequenced for genotyping using PacBio SMRT sequencing technology. Results: The results of serological tests indicated the expression of B antigen decreased in 3 out of 5 blood samples. A mixed-field agglutination was observed with anti-B antibody. B antigen was not detected in all 5 saliva samples. The ABO genotype for all samples were ABO B.01/ABO O.01.02, and a novel mutation c. 28+5875C>T within the DNA-binding region of RUNX1 in +5.8-kb site were found in the B allele for 3 samples with reduced expression of B antigen. Conclusion: Results of serological and genetic analyses classify the 3 cases with reduced B antigen expression as B phenotype. The novel mutation c. 28+5875C>T of RUNX1 could be the key reason for reduced B antigen expression in 3 cases with B phenotype.

Objective: To investigate the nutritional status and influencing factors among Tibetan and Mongolian children and adolescents aged 7-18 years in high-altitude regions, so as to provide evidence for early prevention and control of malnutrition in this population. Methods: From May to June 2022, a cluster sampling method was employed to recruit 1 019 Tibetan and Mongolian children and adolescents aged 7-18 years from two primary and secondary schools in Golmud City. Physical examinations, dietary frequency questionnaires, and physical activity assessments were conducted. Nutritional status was classified as obesity, combined overweight/obesity, underweight, or central obesity according to national standards including Screening for Overweight and Obesity among School-age Children and Adolescents, Screening Standard for Malnutrition of School-age Children and Adolescents, Blue Book on Obesity Prevention and Control in China. Chi-square tests, t-test and Logistic regression analyses were performed to identify factors associated with different nutritional statuses. Results: The detection rates of obesity, combined overweight/obesity, underweight, and central obesity were 8.0%, 18.1%, 5.2%, and 19.7%, respectively. The height of children and adolescents across all age groups was generally lower than the national standard values. Tibetan participants exhibited significantly lower height-for-age Z-scores (HAZ)(9-10, 13-17 years, Z =2.01, 2.78, 4.16, 3.38, 4.12, 3.63, 3.00) and BMI-for-age Z-scores (BAZ) compared to Mongolian participants ( Z =-2.95, -2.47, -2.31, -2.89, -2.14, -2.17)( P < 0.05 ). Multivariate Logistic regression revealed that Mongolian children and adolescents had higher risks of obesity ( OR =2.20) and combined overweight/obesity ( OR = 2.18 ) ( P <0.05). Additionally, insufficient moderate-to-vigorous physical activity (MVPA) was associated with an increased risk of central obesity ( OR =1.48, P <0.05), compared with children and adolescents who meet the standard of MVPA. Conclusions The rates of overweight and obesity among Tibetan and Mongolian children and adolescents in Golmud City are higher, influenced by multiple factors. Nutrition interventions and physical activity strategies tailored to ethnic characteristics should be implemented, with emphasis on promoting MVPA to improve nutritional outcomes in this population.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.