Objective:To observe and analyze the levels of vitamin D（VD） and their influencing factors in children undergoing adenoidectomy and/or tonsillectomy. Methods:A total of 147 children who received adenoidectomy and/or tonsillectomy in our hospital from November 2018 to March 2019 were selected as the experimental groups, gender and age matched 147 healthy children of the same period were selected as the control group. The differences of VD levels between the two groups were compared, the factors affecting VD levels were investigated, and patients with VD deficiency/insufficiency in the experimental groups were followed up postoperatively. Results:The VD levels of the experimental groups were（19.6±6.6） ng/mL and those of the control groups were （22.5±6.5）ng/mL, which was significantly different （P<0.01）. The experimental groups were divided into inflammation groups and Sleeping disorder breathing（SDB）groups. The VD levels of the two groups were （19.1±6.7）ng/mL and （21.9±6.4）ng/mL, which was significantly different （P<0.05）. Regression analysis showed that VD levels were negatively correlated with age, body mass index （BMI）, adenoid hypertrophy, tonsil hypertrophy and Anti-streptolysin O（ASO）levels （P<0.05）. VD values were remeasured one year postoperatively in 23 of 72 children in the VD deficiency/deficiency groups, and there was a statistically significant difference between preoperative and postoperative VD values[（14.3±3.9）ng/mL and （17.1±5.5） ng/mL, respectively, P<0.05]. There was a significant difference in postoperative VD value between the inflammation groups and the SDB groups[ （15.6±5.9） ng/mL and （20.5±2.1） ng/mL, respectively, P<0.05]. Conclusion:Children who underwent adenoidectomy and/or tonsillectomy had lower VD levels than healthy children.VD levels decreased with increasing age,BMI and ASO values,and associated with the size of adenoid and tonsil. Preoperative VD levels were lower in the inflammation groups, adenoidectomy and/or tonsillectomy improved VD deficiency/insufficiency status, and postoperative elevation of VD levels was more pronounced in the SDB groups.
Humans ; Tonsillectomy ; Adenoidectomy ; Vitamin D/blood* ; Vitamin D Deficiency ; Male ; Female ; Postoperative Period ; Child ; Case-Control Studies ; Child, Preschool

Lysosomes represent a promising target for cancer therapy and reducing drug resistance. However, the short treatment time and low efficiency of lysosomal targeting have limited the application in lysosome-targeting anticancer drugs. In this study, we proposed an adhesive-bandage approach and synthesized a new lysosomal targeting drug, namely long-term lysosome-targeting anticancer drug (LLAD). It contains a SLC38A9-targeting covalently bound moiety and an alkaline component both to prolong the inhibition of SLC38A9 in lysosomes and alkalinize lysosomes. Upon short term and low-dose treatment of HeLa cells, at passage 0, with LLAD, it rapidly alkalinized lysosomes and also can be detected in lysosomes even at passage 15. LLAD induced apoptosis in HeLa cells through long-term lysosomal damage, and showed better long-term anticancer effect than cisplatin in vivo. Overall, our study paves the way for developing long-term lysosomal targeting drugs to treat cancer and overcome the drug resistance of cancer cells, and also provides a candidate drug, LLAD, for treating cancer.

Objective:To investigate the predictive value of serum signal lymphocyte activation molecule family member 8(SLAMF8)levels for post-stroke cognitive impairment(PSCI).Methods:The GSE122063 dataset was selected from the Gene Expression Omnibus(GEO), and key genes associated with vascular dementia were identified using STRING network and Cytoscape software.This prospective cohort study involved 123 patients with acute cerebral infarction(ACI)who were admitted to the Department of Neurology at Jiangsu University Affiliated Hospital from January to December 2023.Patients were followed up for six months and categorized into PSCI and post-stroke non-cognitive impairment(PSNCI)groups based on the occurrence of PSCI.General data from both groups at baseline, as well as the Mini-Mental State Examination(MMSE)and Montreal Cognitive Assessment Scale(MoCA)scores at the six-month follow-up, were collected.Baseline serum levels of SLAMF8 and stabilin-1(STAB1), along with serum levels of interleukin-1β(IL-1β)and interleukin-6(IL-6)at the six-month follow-up, were measured.Pearson correlation analysis was used to assess the correlation between variables, while logistic regression analysis was employed to determine baseline factors influencing the occurrence of PSCI.Receiver Operating Characteristic(ROC)curves were plotted to analyze the predictive value of variables for PSCI occurrence.Results:The Cytoscape software identified SLAMF8 and STAB1 as key genes associated with vascular dementia, utilizing maximum neighborhood component density(DNMC)and eccentricity algorithms on the GSE122063 dataset.In the cohort study, patients in the PSCI group exhibited higher baseline NIHSS scores and serum SLAMF8 levels compared to the PSNCI group( t=3.033, 5.422; P<0.01). Additionally, they demonstrated significantly lower MMSE and MoCA scores( t=16.340, 18.634; P<0.001)and higher serum levels of IL-1β and IL-6( t=2.633, 2.632; P<0.05)at the 6-month follow-up.No significant difference was observed in baseline STAB1 levels between the two groups( t=1.280, P>0.05). In the PSCI group, there was no significant correlation between baseline serum SLAMF8 levels and admission NIHSS scores( r=0.257, P=0.082); however, SLAMF8 showed a negative correlation with both MMSE scores( r=-0.711, P<0.001)and MoCA scores( r=-0.686, P<0.001)at the 6-month follow-up.Logistic regression analysis indicated that baseline serum SLAMF8 levels( OR=1.142, P=0.001)and NIHSS scores( OR=1.094, P=0.007)were risk factors for the development of PSCI in patients with acute cerebral infarction(ACI). ROC curve analysis revealed that the area under the ROC curve(AUC)for baseline serum SLAMF8 levels in predicting PSCI occurrence in ACI patients was 0.776, while the AUC for the combined prediction using both SLAMF8 and NIHSS scores was 0.796.Furthermore, baseline serum SLAMF8 levels were positively correlated with serum IL-1β levels( r=0.652, P<0.001)and IL-6 levels( r=0.710, P<0.001)at the 6-month follow-up. Conclusions:The serum SLAMF8 level, exhibiting early high expression in ACI patients, may serve as a potential biological marker for predicting the occurrence of PSCI.

Objective:To investigate transition pattern of health status among middle-aged and elderly population in China based on frailty index.Methods:In this retrospective cohort study, middle-aged and elderly people were selected from the China Health and Retirement Longitudinal Study (CHARLS) in 2011; and 1 434 subjects were followed up to 2015. The frailty index was calculated from the prevalence of chronic diseases, daily activity ability and blood biomarkers, and the frailty state was divided by quartiles of the frailty index. Markov models were constructed to determine the transition probabilities of different frailty states.Results:The mean age of the 1 434 subjects was (59.0±9.4) years and the mean frailty index was 0.11±0.05. In the healthy individuals, 63.0% remained healthy after a four-year follow-up; during the same follow-up period, 40.9% of the mildly frail individuals and 23.0% of the moderately frail individuals remained in their baseline frailty status. Increasing age leaded to a gradual increase in the probability of the population shifting to a severely frailty state. Women were more likely to shift to severe frailty status than men (0.029 vs 0.019, Z=3.03, P=0.002). Conclusion:Among middle-aged and elderly population in China, the transition of health states follows a pattern where higher frailty levels are associated with lower stability. Advanced age and female gender are identified as risk factors for progression to severe frailty.

As the "main force" for providing health services, there has been a constant increase in the number of health service and management graduates in recent years, but with a lack of satisfactory quality. The concept of outcome-based education (OBE) takes the needs of all parties as the starting point and foothold for practice, which can ensure the consistency between the goal of talent training and the learning achievements of students to the greatest extent. This article proposes to integrate the educational concept of OBE into the training path of health service and management talents, clarify talent training objectives by understanding the needs of all parties, optimize the curriculum system according to training objectives, and construct a diversified evaluation system with the organic combination of process evaluation and summative assessment, in order to continuously optimize the training path of health service and management talents and cultivate applied health management talents with knowledge, ability, and quality.

As the "main force" for providing health services, there has been a constant increase in the number of health service and management graduates in recent years, but with a lack of satisfactory quality. The concept of outcome-based education (OBE) takes the needs of all parties as the starting point and foothold for practice, which can ensure the consistency between the goal of talent training and the learning achievements of students to the greatest extent. This article proposes to integrate the educational concept of OBE into the training path of health service and management talents, clarify talent training objectives by understanding the needs of all parties, optimize the curriculum system according to training objectives, and construct a diversified evaluation system with the organic combination of process evaluation and summative assessment, in order to continuously optimize the training path of health service and management talents and cultivate applied health management talents with knowledge, ability, and quality.

Objective:To investigate the predictive value of serum signal lymphocyte activation molecule family member 8(SLAMF8)levels for post-stroke cognitive impairment(PSCI).Methods:The GSE122063 dataset was selected from the Gene Expression Omnibus(GEO), and key genes associated with vascular dementia were identified using STRING network and Cytoscape software.This prospective cohort study involved 123 patients with acute cerebral infarction(ACI)who were admitted to the Department of Neurology at Jiangsu University Affiliated Hospital from January to December 2023.Patients were followed up for six months and categorized into PSCI and post-stroke non-cognitive impairment(PSNCI)groups based on the occurrence of PSCI.General data from both groups at baseline, as well as the Mini-Mental State Examination(MMSE)and Montreal Cognitive Assessment Scale(MoCA)scores at the six-month follow-up, were collected.Baseline serum levels of SLAMF8 and stabilin-1(STAB1), along with serum levels of interleukin-1β(IL-1β)and interleukin-6(IL-6)at the six-month follow-up, were measured.Pearson correlation analysis was used to assess the correlation between variables, while logistic regression analysis was employed to determine baseline factors influencing the occurrence of PSCI.Receiver Operating Characteristic(ROC)curves were plotted to analyze the predictive value of variables for PSCI occurrence.Results:The Cytoscape software identified SLAMF8 and STAB1 as key genes associated with vascular dementia, utilizing maximum neighborhood component density(DNMC)and eccentricity algorithms on the GSE122063 dataset.In the cohort study, patients in the PSCI group exhibited higher baseline NIHSS scores and serum SLAMF8 levels compared to the PSNCI group( t=3.033, 5.422; P<0.01). Additionally, they demonstrated significantly lower MMSE and MoCA scores( t=16.340, 18.634; P<0.001)and higher serum levels of IL-1β and IL-6( t=2.633, 2.632; P<0.05)at the 6-month follow-up.No significant difference was observed in baseline STAB1 levels between the two groups( t=1.280, P>0.05). In the PSCI group, there was no significant correlation between baseline serum SLAMF8 levels and admission NIHSS scores( r=0.257, P=0.082); however, SLAMF8 showed a negative correlation with both MMSE scores( r=-0.711, P<0.001)and MoCA scores( r=-0.686, P<0.001)at the 6-month follow-up.Logistic regression analysis indicated that baseline serum SLAMF8 levels( OR=1.142, P=0.001)and NIHSS scores( OR=1.094, P=0.007)were risk factors for the development of PSCI in patients with acute cerebral infarction(ACI). ROC curve analysis revealed that the area under the ROC curve(AUC)for baseline serum SLAMF8 levels in predicting PSCI occurrence in ACI patients was 0.776, while the AUC for the combined prediction using both SLAMF8 and NIHSS scores was 0.796.Furthermore, baseline serum SLAMF8 levels were positively correlated with serum IL-1β levels( r=0.652, P<0.001)and IL-6 levels( r=0.710, P<0.001)at the 6-month follow-up. Conclusions:The serum SLAMF8 level, exhibiting early high expression in ACI patients, may serve as a potential biological marker for predicting the occurrence of PSCI.

Objective:To investigate transition pattern of health status among middle-aged and elderly population in China based on frailty index.Methods:In this retrospective cohort study, middle-aged and elderly people were selected from the China Health and Retirement Longitudinal Study (CHARLS) in 2011; and 1 434 subjects were followed up to 2015. The frailty index was calculated from the prevalence of chronic diseases, daily activity ability and blood biomarkers, and the frailty state was divided by quartiles of the frailty index. Markov models were constructed to determine the transition probabilities of different frailty states.Results:The mean age of the 1 434 subjects was (59.0±9.4) years and the mean frailty index was 0.11±0.05. In the healthy individuals, 63.0% remained healthy after a four-year follow-up; during the same follow-up period, 40.9% of the mildly frail individuals and 23.0% of the moderately frail individuals remained in their baseline frailty status. Increasing age leaded to a gradual increase in the probability of the population shifting to a severely frailty state. Women were more likely to shift to severe frailty status than men (0.029 vs 0.019, Z=3.03, P=0.002). Conclusion:Among middle-aged and elderly population in China, the transition of health states follows a pattern where higher frailty levels are associated with lower stability. Advanced age and female gender are identified as risk factors for progression to severe frailty.

Objective:To investigate the variation of reference ranges of hemodynamic parameters in normal pregnancy and their relation to maternal basic characteristics.Methods:A total of 598 healthy pregnant women who underwent regular prenatal examination at the Third Affiliated Hospital of Guangzhou Medical University from January to December 2023 were prospectively enrolled, and noninvasive hemodynamic monitors were used to detect changes in hemodynamic parameters of the pregnant women with the week of gestation, including cardiac output (CO), stroke volume (SV), thoracic fluid content (TFC), systemic vascular resistance (SVR), mean arterial pressure (MAP), and heart rate (HR). Relationships between hemodynamic parameters and maternal basic characteristics, including age, height, and weight, were analyzed using restricted cubic spline.Results:(1) CO ( r=0.155, P<0.001), TFC ( r=0.338, P<0.001), MAP ( r=0.204, P<0.001), and HR ( r=0.352, P<0.001) were positively correlated with the week of gestation, and SV was negatively correlated with the week of gestation ( r=-0.158, P<0.001). There was no significant correlation between SVR and gestational age ( r=-0.051, P=0.258). (2) CO exhibited a positive correlation with maternal height and weight (all P<0.001). The taller and heavier of pregnant women, the higher their CO. A linear relationship was observed between maternal weight and SV, MAP and HR (all P<0.01). As maternal weight increased, SV, MAP and HR showed an upward trend. Furthermore, there was an inverse association between maternal age and SVR ( P<0.001). (3) There was a significant nonlinear association observed between TFC and body mass index during pregnancy ( P<0.05). Additionally, a nonlinear relationship was found between SVR and MAP in relation to maternal age (all P<0.05). Notably, when the age exceeded 31 years old, there was an evident upward trend observed in both SVR and MAP. Conclusions:The hemodynamic parameters of normal pregnant women are influenced by their height, body weight, and age. It is advisable to maintain a reasonable weight during pregnancy and give birth at an appropriate age.

Objective:To study the correlation between different body weight metabolic phenotypes and their changes and new-onset hyperuricemia in physical examination population.Methods:This study was a retrospective cohort study. A total of 31 956 people who underwent routine physical examination and met the inclusion and exclusion criteria at the Health Management Center of the Second Affiliated Hospital of Dalian Medical University from January 1, 2014 to August 31, 2022 were selected as the study subjects to establish a dynamic physical examination cohort. The end point of follow-up was new-onset hyperuricemia or the end of follow-up period. Cox regression stepwise fitting model was used to analyze the risk of different body weight metabolic phenotypes and hyperuricemia, and stratified analysis was performed for gender. According to body weight metabolic phenotype, the subjects were divided into normal metabolism and normal weight(NMNW) group, normal metabolism and obesity (NMO) group, abnormal metabolism and normal weight (AMNW) group and abnormal metabolism and obesity (AMO) group. The risk of hyperuricemia was calculated according to the changes of body weight metabolic phenotype during the follow-up period. In the sensitivity analysis, the robustness of the results was verified by changing the diagnostic criteria for hyperuricemia, removing patients with hyperuricemia at the first year of follow-up, and removing subjects aged ≥65 years.Results:Compared with the NMNW group, the risk of hyperuricemia in the NMO group, AMNW group and AMO group increased by 78.9%, 61.3%, 115.4%, respectively ( χ2=272.88, 128.15, 496.12, all P<0.001). Patients who were initially classified as NMNW at baseline, if transitioned to NMO or AMO by the follow-up endpoint, their risk of hyperuricemia increased by 122.5% ( χ2=8.01, P<0.05) and 137.4% ( χ2=15.99, P<0.001), respectively. When the baseline AMNW group changed to AMO, the risk of hyperuricemia was increased by 119.2% ( χ2=6.63, P<0.05). For patients with AMO as baseline, if they turned into NMNW and AMNW at the end of follow-up, their risk of hyperuricemia would decrease by 58.3% ( χ2=43.67, P<0.001) and 27.2% ( χ2=16.07, P<0.001). Patients with a baseline of NMO who transitioned to NMNW and AMNW at the follow-up endpoint had their risk of developing hyperuricemia decreased by 36.7% ( χ2=25.35, P<0.001) and 30.9% ( χ2=9.70, P<0.05), respectively. Conclusions:The transition from metabolic health and non-overweight obesity to metabolic abnormalities and overweight obesity is associated with an increased risk of hyperuricemia, and improvements in metabolic health or weight are associated with a decreased risk of hyperuricemia.