ObjectiveTo explore the driving forces for oncology nurses’ participation in palliative care work， thereby providing a theoretical basis for the improvement of education and training， incentive mechanisms， and other aspects of the palliative care nursing staff. MethodsEmploying a qualitative research method， semi-structured interviews lasting 40-60 minutes were conducted with 14 nurses who had participated in palliative care work. The interview data were analyzed using the Colaizzi seven-step analysis method. ResultsInternal positive driving forces were job interest， empathy， and a sense of professional responsibility， while the negative was low psychological resilience. External positive driving forces included high work support， professional identity， mutual benefits for nurses and patients， and positive patient attitudes， whereas negative driving forces comprised busy routine clinical work， lack of a reward and incentive system， and bland or negative patient attitudes. ConclusionIt is essential to provide a flexible platform for the enhancement of nurses’ professional capabilities in palliative care， intensify the publicity of palliative care and death education； intervene and guide nurses’ negative emotions， improve and implement relevant incentive systems， and standardize the job recognition and scope of responsibilities of palliative care nurses.

Renal Fanconi syndrome (FS) is a rare renal manifestation of primary Sjögren's syndrome (pSS). This study aims to analyze the clinical and prognostic characteristics of patients with pSS-associated renal FS (pSS-FS) and provide insights for clinical management.

ObjectiveThis study aims to reveal the mechanism of liver and kidney injuries caused by Dictamni Cortex and its interrelationship by metabonomics analysis of liver and kidney via ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS）. MethodsThe content of the marker compounds of Dictamni Cortex was measured by high-performance liquid chromatography （HPLC） to carry out quality control. Sprague Dawley （SD） rats were randomly divided into a blank group （normal saline）， an administration group （0.9， 2.7， 8.1 g·kg^-1）， and a high-dose withdrawal control group， with eight rats in each group. Continuous administration was performed once daily for 28 days. The liver and kidney injuries caused by each administration group were assessed by organ indices， pathological observations， and serum and plasma biochemical indices measured by enzyme-linked immunosorbent assay （ELISA）. The potential biomarkers of liver and kidney injuries caused by Dictamni Cortex were screened， and pathway enrichment analysis and correlation analysis were performed based on UPLC-Q-TOF-MS. ResultsCompared with the blank group， both the medium- and low-dose groups showed insignificant damage to the liver and kidney of rats. The high-dose group exhibited the most serious damage， and the level of liver and kidney function indices ［alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， creatinine （Cr）， and blood urea nitrogen （BUN）］ and serum inflammatory indices （［interleukin 1β （IL-1β）， IL-6， and tumor necrosis factor-α （TNF-α）］ in the serum were significantly changed （P<0.01）. The liver and kidney metabolism pathways and differential metabolites were quite different. Among them， phenylalanine metabolism， niacin and nicotinamide metabolism， and glycerophospholipid metabolism were common pathways. Correlation analysis of differential metabolites showed that there were significant correlations among disorders of 4′-Phosphopantothenoylcysteine， PC （16∶0/15∶0）， phenylethylamine， arachidonic acid， and linoleic acid in liver and kidney tissue. ConclusionThe decoction of Dictamni Cortex can cause liver and kidney injuries， and its mechanism may be related to oxidative stress and lipid metabolism disorders. The correlation of differential metabolites indicates the interaction between liver and kidney injuries.

ObjectiveTo explore the mechanism of the immunotoxicity induced by dictamnine （DIC） in rats and the recovery effect after drug withdrawal by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry， thereby providing a theoretical basis for elucidating the toxic mechanism of DIC. MethodsSD rats were randomized into blank （normal saline）， DIC （10 mg·kg^-1）， and DIC withdrawal （recovery period） groups （n=8）. The rats were continuously treated for 7 days， once a day， and the body weight and organ weight were recorded. The levels of interleukin-1 （IL-1）， IL-6， and tumor necrosis factor-α （TNF-α） in the serum and immunoglobulin A （IgA）， immunoglobulin G （IgG）， and immunoglobulin M （IgM） in the spleen were determined by enzyme-linked immunosorbent assay. Hematoxylin-eosin staining was used to observe the pathological changes in the spleen. ultra performance liquid chromatography quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS） was employed to screen the potential biomarkers of immune inflammation caused by DIC， and pathway enrichment analysis and correlation analysis were performed. The mRNA levels of IL-1β， TNF-α， lysophosphatidylcholine acyltransferase 2 （LPCAT2）， and farnesoid X receptor （FXR） in the serum were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， the DIC group showed elevated levels of IL-1β， IL-6， and TNF-α in the serum （P<0.01）， and the DIC withdrawal group showcased lowered levels of IL-1β， IL-6， and TNF-α in the serum （P<0.01）. The levels of IgA， IgG， and IgM in the spleen of rats in the DIC group were decreased （P<0.01）， while those in the DIC withdrawal group were recovered （P<0.05， P<0.01）. Untargeted metabolomics of the serum and spleen screened out 14 common differential metabolites and 14 common metabolic pathways. The Spearman correlation analysis between differential metabolites and inflammatory factors identified PC （32∶0）， LysoPC （20∶4/0∶0）， LysoPC （P-18∶0/0∶0）， taurochenodeoxycholic acid， taurocholic acid， LysoPC ［20∶5（5Z，8Z，11Z，14Z，17Z）/0∶0］， chenodeoxycholic acid， arachidonic acid， LysoPC （18∶0/0∶0）， LysoPC （15∶0/0∶0）， LysoPC （16∶0/0∶0）， and LysoPC （17∶0/0∶0） as the biomarkers of immunotoxicity induced by DIC in SD rats. In the process of immunotoxicity caused by DIC， lipid metabolism disorders such as glycerophospholipid metabolism， primary bile acid metabolism， and arachidonic acid metabolism were enriched， which was consistent with the DIC-induced inflammatory factors and pathological characteristics of the spleen. Compared with the blank group， the DIC group exhibited up-regulated mRNA levels of IL-1β， TNF-α， LPCAT2， and FXR （P<0.01）， and the up-regulation was decreased in the withdrawal group （P<0.01）. ConclusionDIC can lead to immune and inflammatory disorders. DIC withdrawal can regulate the expression of biomarkers related to serum and spleen metabolites， regulate the inflammatory metabolic pathway， reduce the inflammation level， and alleviate the metabolic disorders， thus attenuating the potential toxicity induced by DIC.

It is proposed that cold qi-induced accumulation encapsulates the core pathogenesis of the inflammation-cancer transformation in inflammatory bowel disease （IBD）. Cold pathogens may serve as the initiating factor. When first invading the intestines， cold pathogens obstruct the flow of qi； over time， the lingering cold impairs the middle jiao （焦）， eventually leading to the accumulation of cold-phlegm and blood stasis. Based on the progressive nature of this transformation， the process can be divided into three stages， active stage， remission stage， and carcinogenic stage. In the active stage， the main pathogenesis involves stagnation of cold qi and accumulation of damp-heat in the intestines； in the remission stage， cold qi impairs the spleen， disrupting its transport and transformation functions； and in the carcinogenic stage， the mechanisms include cold-induced accumulation， phlegm accumulation from cold， and stagnation of cold and blood stasis. Accordingly， the treatment strategies are proposed.In the active stage， regulating qi， relieving stagnation， and harmonizing cold and heat； in the remission stage， warming yang， dispersing cold， tonifying qi， and strengthening the spleen； and in the carcinogenic stage， promoting qi circulation， dispersing cold， resolving phlegm， activating yang， and eliminating stasis to remove accumulation. These approaches aim to interrupt the transformation of IBD into colorectal cancer.

In recent years, with the exploration and development of machine learning algorithms in the medical scenario, their potential for application in clinical diagnosis and treatment has been gradually explored. Image-based machine learning algorithms have made a lot of progress in urological cancer-related research, and have been proven to have a positive effect on the diagnosis, treatment and prognosis of urological cancer. Despite the great impact of machine learning algorithms clinically, they are still in the exploratory stage, with many deficiencies and limitations.

OBJECTIVE:To explore the efficacy of different exercise regimens to reduce fall risks in older adults.METHODS:PubMed,Embase,Web of Science,The Cochrane Library,WanFang,and CNKI were searched for studies about exercise interventions on fall risk in healthy older adult individuals at the age of 60 years and above.The search timeframe should cover from the inception of each database to July 2023.Quality assessment and risk-of-bias were assessed using the Cochrane risk of bias tool.Meta-analysis,subgroup analysis,sensitivity analysis,and publication bias were conducted using Review Manager 5.3 and Stata 16.0.RESULTS:A total of 45 papers containing 54 studies with 3 074 participants were included in the analysis.Overall,exercise intervention can improve the interventional effects on balance(the unipedal stance test with eyes open,functional reach,Timed"Up & Go",and Berg balance scale),lower limb muscle strength(30-second chair-stand test,Five-Times Sit-To-Stand Test,and Short Physical Performance Battery),and fall-efficacy(Falls Efficacy Scale-International),leading to reduced fall risk(P＜0.05).The Meta-analysis results revealed a dosage effect of different exercise regimens to reduce fall risk in the elderly.Mind-body exercise could efficiently increase scores of the unipedal stance test[mean difference(MD)=6.81,95％confidence interval(CI)(2.17,11.44),P＜0.01];resistance exercise could efficiently increase the scores of the Timed"Up & Go"[MD=-3.12,95％CI(-5.72,-0.52),P＜0.05]and the 30-second chair-stand test[MD=1.22,95％CI(0.37,2.08),P＜0.01];and multicomponent physical activity could efficiently increase the scores of functional reach[MD=4.50,95％CI(2.58,6.42),P＜0.01],Berg Balance Scale[MD=1.05,95％CI(0.39,1.71),P＜0.01],Five-Times Sit-To-stand Test[MD=-3.15,95％CI(-4.80,-1.50),P＜0.01],Short Physical Performance Battery[MD=0.55,95％CI(0.37,0.74),P＜0.01],and Falls Efficacy Scale-International[MD=-0.41,95％CI(0.69,-0.13),P＜0.01].Conclusion:Exercise interventions can effectively improve balance,enhance limb strength and functional ability,and reduce fear of falling,and lower the risk of falls in older adults.The components of different intervention programs(such as type of exercise,duration,frequency,and session length)have varying dose-response relationships with the results of fall risk screening tests in older adults.

Nanchang University and Queen Mary University of London have integrated their educational and teaching advantageous resources to establish a Sino-foreign cooperative clinical medicine program in China. The program awards the degrees of Bachelor of Science in Biomedical Sciences and Bachelor of Clinical Medicine, aiming to cultivate well-rounded medical talents with both clinical and scientific research capabilities and an international perspective. By introducing biomedical courses and integrating them with basic medical courses, the program emphasizes basic knowledge, practical training, active learning, and the cultivation of scientific research skills and critical thinking ability. The evaluation parameters include academic output, innovation competitions, and the number of students pursuing graduate education. The results showed substantial increases in the number of SCI academic articles published by students in this program, the number of awards in innovation competitions, and the number of students pursuing graduate education. This program is a new attempt in the reform of medical education in China.

OBJECTIVE:To explore the efficacy of different exercise regimens to reduce fall risks in older adults.METHODS:PubMed,Embase,Web of Science,The Cochrane Library,WanFang,and CNKI were searched for studies about exercise interventions on fall risk in healthy older adult individuals at the age of 60 years and above.The search timeframe should cover from the inception of each database to July 2023.Quality assessment and risk-of-bias were assessed using the Cochrane risk of bias tool.Meta-analysis,subgroup analysis,sensitivity analysis,and publication bias were conducted using Review Manager 5.3 and Stata 16.0.RESULTS:A total of 45 papers containing 54 studies with 3 074 participants were included in the analysis.Overall,exercise intervention can improve the interventional effects on balance(the unipedal stance test with eyes open,functional reach,Timed"Up & Go",and Berg balance scale),lower limb muscle strength(30-second chair-stand test,Five-Times Sit-To-Stand Test,and Short Physical Performance Battery),and fall-efficacy(Falls Efficacy Scale-International),leading to reduced fall risk(P＜0.05).The Meta-analysis results revealed a dosage effect of different exercise regimens to reduce fall risk in the elderly.Mind-body exercise could efficiently increase scores of the unipedal stance test[mean difference(MD)=6.81,95％confidence interval(CI)(2.17,11.44),P＜0.01];resistance exercise could efficiently increase the scores of the Timed"Up & Go"[MD=-3.12,95％CI(-5.72,-0.52),P＜0.05]and the 30-second chair-stand test[MD=1.22,95％CI(0.37,2.08),P＜0.01];and multicomponent physical activity could efficiently increase the scores of functional reach[MD=4.50,95％CI(2.58,6.42),P＜0.01],Berg Balance Scale[MD=1.05,95％CI(0.39,1.71),P＜0.01],Five-Times Sit-To-stand Test[MD=-3.15,95％CI(-4.80,-1.50),P＜0.01],Short Physical Performance Battery[MD=0.55,95％CI(0.37,0.74),P＜0.01],and Falls Efficacy Scale-International[MD=-0.41,95％CI(0.69,-0.13),P＜0.01].Conclusion:Exercise interventions can effectively improve balance,enhance limb strength and functional ability,and reduce fear of falling,and lower the risk of falls in older adults.The components of different intervention programs(such as type of exercise,duration,frequency,and session length)have varying dose-response relationships with the results of fall risk screening tests in older adults.

In recent years, with the exploration and development of machine learning algorithms in the medical scenario, their potential for application in clinical diagnosis and treatment has been gradually explored. Image-based machine learning algorithms have made a lot of progress in urological cancer-related research, and have been proven to have a positive effect on the diagnosis, treatment and prognosis of urological cancer. Despite the great impact of machine learning algorithms clinically, they are still in the exploratory stage, with many deficiencies and limitations.