ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveTo assess the performance of preoperative serum Golgi protein 73 （GP73） in diagnosing liver fibrosis degree in patients with resectable hepatocellular carcinoma （HCC）， to investigate its value in predicting postoperative survival， and to provide a basis for risk stratification and individualized decision-making in this population. MethodsA total of 631 patients with HCC who underwent liver resection at The First Hospital of Jilin University from March 1， 2009 to December 31， 2022 were enrolled. The demographic， pathological， and serological features of the patients were collected， and the serum level of GP73 was measured before surgery. Scheuer score determined by liver biopsy was used as the gold standard for diagnosing liver fibrosis； the Spearman correlation analysis was used to investigate the correlation between GP73 and liver fibrosis； the receiver operating characteristic （ROC） curve and the area under the ROC curve （AUC） were used to assess the value of serum GP73 and compound serological markers in the diagnosis of liver fibrosis， and the Delong test was used for comparison of AUC. With all-cause mortality as the outcome， X-Tile 3.6.1 software was used to determine the optimal cut-off value of GP73； the univariate and multivariate Cox regression analyses were used to identify independent influencing factors for prognosis， and a nomogram model was constructed. Ten-fold cross-validation was used for internal validation； index of concordance （C-index）， integrated discrimination improvement （IDI） index， and net reclassification improvement （NRI） index were calculated； calibration curve and decision curve analysis were used to assess the predictive performance of the model. ResultsThe serum level of GP73 was positively correlated with Scheuer liver fibrosis stage （r_s=0.255， P<0.001）. Serum GP73 had a significantly higher AUC than gamma-glutamyl transferase-to-platelet ratio （0.704 vs 0.634， Z=2.00， P=0.046） and S index （0.704 vs 0.637， Z=1.98， P=0.048） in the diagnosis of significant liver fibrosis， with no significant difference compared with aspartate aminotransferase-to-platelet ratio index （AUC=0.722） and fibrosis-4 index （AUC=0.695） （both P>0.05）. During a median follow-up time of 48.66 months， 239 patients （37.9%） died. GP73 had an optimal cut-off value of 65 ng/mL in predicting postoperative mortality in patients with resectable HCC， and high GP73 expression （≥65 ng/mL） alone achieved a C-index of 0.617 for predicting the prognosis of HCC patients， which was better than the C-index of 0.551 for Barcelona Clinic Liver Cancer （BCLC） stage （P<0.001）. The multivariate Cox regression analysis showed that serum GP73 （hazard ratio ［HR］=2.56， 95% confidence interval ［CI］： 1.86 — 3.52， P<0.001）， sex （HR=1.58， 95%CI： 1.10 — 2.28， P=0.014）， vascular invasion （HR=1.69， 95%CI： 1.30 — 2.21， P<0.001）， total bilirubin （HR=1.49， 95%CI： 1.16 — 1.93， P=0.002）， and maximum tumor diameter （HR=1.07， 95%CI： 1.04 — 1.11， P<0.001） were independent risk factors for all-cause mortality after hepatectomy in patients with HCC. In order to assess whether the addition of GP73 to the other four variables could further improve model performance， the model based on GP73， sex， vascular invasion， total bilirubin， and maximum tumor diameter was defined as the GP73-included model， and the model based on all five variables except GP73 was defined as the GP73-excluded model. The GP73-included model achieved an AUC of 0.704 （95%CI： 0.656 — 0.753） for predicting 5-year survival rate after surgery， and ten-fold cross-validation showed that this model had a mean C-index of 0.716 （95%CI： 0.682 — 0.750）， which was higher than the C-index of the GP73-excluded model （C-index=0.682， 95%CI： 0.645 — 0.719， P=0.008） and BCLC stage （C-index=0.551， 95%CI： 0.523 — 0.580， P<0.001）. Compared with the GP73-excluded model， the GP73-included model yielded an IDI index of 0.039 （95%CI： 0.016 — 0.069， P<0.001） and an NRI index of 0.259 （95%CI： 0.179 — 0.335， P<0.001）， and compared with BCLC stage， the GP73-included model had an IDI index of 0.112 （95%CI： 0.069 — 0.163， P<0.001） and an NRI index of 0.272 （95%CI： 0.169 — 0.380， P<0.001）. Calibration curve and decision curve analyses showed that the GP73-included model had good calibration and net clinical benefit. ConclusionGP73 can be used as a serological biomarker for diagnosing liver fibrosis in patients with resectable HCC， and preoperative GP73 level has a certain value in predicting the survival of these patients after hepatectomy. The integrated prognostic model incorporating GP73 can help to optimize postoperative risk stratification， thereby providing a basis for decision-making in precise treatment of HCC.

Objective To assess the effect of early nutritional intervention on the patients with respiratory diseases at nutritional risk. Methods A total of 130 patients with respiratory disease who were hospitalized in Shanghai Fifth People’s Hospital, Fudan University between May 2023 and December 2024 and had a nutritional risk screening 2002 score ≥3 points. Based on the initiation time of nutritional intervention, patients were divided into an early group (≤5 days, n＝65) and a late group (＞5 days, n＝65). Results In the early group, prealbumin (P-ALB) and retinol-binding protein (RBP) levels were significantly higher (P＜0.01), C-reactive protein (CRP), procalcitonin (PCT) levels were significantly lower after intervention (P＜0.05). Compared with the late group, the hospital costs were lower and hospital stays were shorter in the early group (P＜0.001). Spearman analysis showed ALB, P-ALB, and total protein (TP) were negatively correlated with hospital costs (r＝－0.37, －0.20, and－0.22, P＜0.05). RBP, ALB, P-ALB, and lymphocyte count (LYM) were negatively correlated with CRP (r＝－0.30, －0.26, －0.37, －0.18, P＜0.01), RBP, ALB, P-ALB, hemoglobin (HB), and TP were negatively correlated with PCT (r＝－0.23,－0.36, －0.40, －0.30, －0.19, P＜0.05). Conclusions For patients with respiratory diseases, early nutritional assessment should be underwent, and for patients with nutritional risk screening 2002 score ≥3 points, early nutritional intervention could improve the nutritional status and alleviate inflammatory response, promote recovery, shorten the hospital stays.

OBJECTIVE: To report the clinical experience of using Ilizarov wrist joint distraction technique in the treatment of a case of rheumatoid arthritis of the wrist. METHODS: In January 2019, a 49-year-old female patient with rheumatoid arthritis of the left wrist, complicated by ulnar impaction syndrome, was admitted for treatment. Preoperatively, the active range of motion of the left wrist was as follows: extension 0°-flexion 0°, pronation 65°-supination 35°, and grip strength of 4.0 kg. The visual analogue scale (VAS) score was 9, and the Cooney wrist function score was 15, indicating poor function. As conservative treatment failed to achieve symptom relief, Ilizarov wrist joint distraction surgery was performed. Postoperatively, joint distraction was applied at 2 mm increments on postoperative days 2 and 7, in 4 separate sessions. RESULTS: Postoperative X-ray film examination at 7 days revealed a distraction of 3.6 mm in the affected wrist joint compared to the contralateral side. The external fixator was removed 2.5 months postoperatively. At 22 months postoperatively, X-ray film and MRI examinations revealed that the joint space of the left wrist had returned to near-normal, with significant reduction in joint effusion and synovial proliferation. The active range of motion of the left wrist improved to extension 15°- flexion 30°, pronation 90°-supination 90°, with a grip strength of 18.0 kg. The wrist pain VAS score decreased to 0, and the Cooney wrist function score improved to 90, indicating excellent function. At 50 months postoperatively, follow-up X-ray film, MRI, and functional assessments showed the results similar to those at 22 months. CONCLUSION Ilizarov wrist joint distraction may be a viable treatment option for rheumatoid arthritis of the wrist.
Humans ; Female ; Middle Aged ; Wrist Joint/physiopathology* ; Arthritis, Rheumatoid/physiopathology* ; Range of Motion, Articular ; Ilizarov Technique ; Treatment Outcome ; Osteogenesis, Distraction/methods*

Background and aims:Hepatocellular carcinoma(HCC)is a leading cause of cancer-related mortality worldwide,and its etiology involves a complex interplay of genetic and environmental factors.Despite ad-vancements in our understanding of HCC biology and the development of novel therapeutic strategies,the molecular mechanisms underlying its onset,progression,and resistance to therapy remain largely vague.This study aimed to investigate the role of mechanosensitive ion channel-related genes(MICRGs)in HCC,focusing on their potential as prognostic biomarkers and their involvement in immune modulation and drug resistance.Methods:A comprehensive analysis was conducted using The Cancer Genome Atlas database to identify MICRGs that are upregulated in HCC.Gene expression profiling,bioinformatics tools,and functional experiments were employed to elucidate the role of these channels.In addition,protein-protein interaction(PPI)network analyses and enrichment analyses were performed to explore the biological significance of these genes.An immune cell infiltration analysis was also conducted to understand MICRG-related immune landscape.Single-cell RNA sequencing(scRNA-seq)data were utilized to identify MICRGs in different cell types within the HCC tissue.Deep-learning neural network analysis across patient cohorts was conducted to identify genes associated with sorafenib resistance.Knockdown ex-periments,cell viability assays,and apoptosis assays on HCC cell lines were performed to examine the role of Piezo-type mechanosensitive ion channel component 1(PIEZO1)in sorafenib resistance.Results:The analysis identified a subset of MICRGs,including PIEZO1,that were significantly upregulated in HCC and associated with poor prognosis.The PPI network analysis revealed complex interactions among these genes.Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses proposed the involvement of these genes in calcium signaling pathways.Immune cell infiltration analysis demonstrated distinct associations between MICRGs and various immune subpopulations,highlighting their potential roles in immune modulation.scRNA-seq data indicated the upregulation of MICRGs in various cell types in HCC tissues,particularly in endothelial cells and tumor-associated macrophages.Deep-learning neural network analysis across different patient cohorts identified PIEZO1 as a crucial regulator of sorafenib resistance in HCC,which was further validated by functional assays on HCC cell lines.Conclusions:This study provides evidence that MICRGs,particularly PIEZO1,take on crucial roles in HCC progression and drug resistance.The upregulation of PIEZO1 in HCC cells is associated with poor prog-nosis and resistance to sorafenib.These findings indicate that PIEZO1 could serve as a potential thera-peutic target for overcoming drug resistance and a prognostic biomarker in HCC.Future studies should focus on validating these findings in larger patient cohorts and exploring the functional implications of targeting PIEZO1 in preclinical models.

The cooccurrence of NPM1, FLT3-ITD, and DNMT3A mutations (i.e., triple mutation) is related to dismal prognosis in patients with acute myeloid leukemia (AML) receiving chemotherapy alone. In this multicenter retrospective cohort study, we aimed to identify whether allogeneic hematopoietic stem cell transplantation (allo-HSCT) could overcome the poor prognosis of DNMT3A^mutNPM1^mutFLT3-ITD^mut AML across four transplant centers in China. Fifty-three patients with triple-mutated AML receiving allo-HSCT in complete remission were enrolled. The 1.5-year probabilities of relapse, leukemia-free survival, and overall survival after allo-HSCT were 11.9%, 80.3%, and 81.8%, respectively. Multivariate analysis revealed that more than one course of induction chemotherapy and allo-HSCT beyond CR1 were associated with poor survival. To our knowledge, this work is the largest study to explore the up-to-date undefined role of allo-HSCT in patients with triple-mutated AML. Our real-world data suggest that allo-HSCT could overcome the poor prognosis of DNMT3A^mutNPM1^mutFLT3-ITD^mut in AML.
Humans ; Nucleophosmin ; Leukemia, Myeloid, Acute/mortality* ; Hematopoietic Stem Cell Transplantation/methods* ; Male ; Female ; DNA Methyltransferase 3A ; Adult ; China ; Retrospective Studies ; DNA (Cytosine-5-)-Methyltransferases/genetics* ; Middle Aged ; Prognosis ; fms-Like Tyrosine Kinase 3/genetics* ; Mutation ; Young Adult ; Transplantation, Homologous ; Nuclear Proteins/genetics* ; Adolescent ; Aged

Objective:To investigate the association between serum 25-hydroxyvitamin D [25(OH)D] levels and 24-h urinary calcium excretion (24-h UCaE) and hypercalciuria in Chinese adults.Methods:This cross-sectional study was conducted from March 2022 to March 2023 in nine cities in China and included 1 239 residents. Demographic characteristics were collected through questionnaires and physical examinations, fasting blood samples were assessed for bone metabolism indicators, and 24-h urine samples were used to determine the 24-h UCaE. Multiple linear regression analysis was used to explore the relationship between serum 25(OH)D and 24-h UCaE and bone metabolism indexes. The relationship between serum 25(OH)D and hypercalciuria was analyzed using a multiple logistic regression model combined with restricted cubic spline modeling.Results:The mean participant age was (47.9±18.1) years, of which 453 (36.6%) were male. The percentages of vitamin D sufficiency, insufficiency, and deficiency were 7.6% (94/1 239), 29.0% (359/1 239), and 63.4% (786/1 239), respectively. The multiple linear regression model showed that after adjusting for the covariates the 24-h UCaE gradually increased with higher levels of 25(OH)D ( P overall <0.001, P nonlinear <0.001). The logistic regression analysis revealed that compared with the vitamin D deficient group, the OR for the prevalence of hypercalciuria in the vitamin D sufficient and vitamin D insufficient groups were 3.290 (95% CI 1.745 to 6.202) and 3.742 (95% CI 2.458 to 5.697), respectively. The results of the restricted cubic spline modeling showed a positive nonlinear relationship between 25(OH)D and the prevalence of hypercalciuria ( P overall <0.001, P nonlinear <0.001). The prevalence of hypercalciuria increased when 25(OH)D was >17.00 μg/L and peaked at 26.71 μg/L, after which there was a decreasing trend in the prevalence of hypercalciuria with increasing 25(OH)D. Conclusion:Associations between serum 25(OH)D levels and urinary calcium excretion and the prevalence of hypercalciuria were observed in the Chinese adult population.

BACKGROUND:Observational studies have found a dual effect of lipids and immune cells on osteoarthritis progression,but the exact mechanism of action is not yet clear.OBJECTIVE:To investigate whether the causal relationship between lipids and knee osteoarthritis is regulated by immune cells.METHODS:179 lipids were obtained from the Linda Ottensman database,731 immune cell-associated single nucleotide polymorphisms were obtained from Open GWAS as instrumental variables,and genome-wide association data for knee osteoarthritis were obtained from the Osteoarthritis Genetics Consortium.First,we used a two-sample Mendelian randomization method to investigate the causal relationships between lipids and knee osteoarthritis,between immune cells and knee osteoarthritis,and between lipids and immune cells from a genetic perspective.In addition,Bayesian-weighted Mendelian randomization verified the causal relationship between lipids and knee osteoarthritis,and reverse Mendelian randomization and Steiger directionality test assessed the positive relationship.Second,sensitivity analyses were performed,including Cochran's Q test to eliminate heterogeneity,MR-PRESSO global test and MR-Egger intercept to rule out horizontal pleiotropy,and leave-one-out method to assess the effect of individual single nucleotide polymorphism drivers on random estimates.Finally,the mediating effect of specific immune cell traits in the causal relationship between lipids and knee osteoarthritis was determined by a two-step Mendelian randomization method.RESULTS AND CONCLUSION:The inverse variance weighting method and Bayesian-weighted algorithm together identified eight lipid species that were causally associated with knee osteoarthritis.The results of Cochran's Q,MR-PRESSO,and MR-Egger intercept were not statistically significant(P<0.05).Meanwhile,a total of three sets of mediated relationships were calculated,with the lowest mediation percentage of 11.85%and the highest of 45.48%.These findings indicate the level of immune cells plays a potential role in the regulatory process of lipids and knee osteoarthritis,which provides new perspectives for in-depth exploration of knee osteoarthritis.

Objective:To study the development status and characteristics of the Traditional Chinese Medicine(TCM)service capacity of primary medical institutions(referred as primary)in Beijing.Methods:The case-base aggregation method was used to analyze the total amount,distribution,and development changes of total TCM costs in primary healthcare institutions in Beijing.Results:From 2019 to 2023,the average annual growth rate of the TCM costs of primary healthcare institutions in Beijing was 10.09％,and the proportion in total TCM costs increased from 16.01％to 18.19％.The average annual growth rate of the TCM costs of community health service centers(stations)was 11.78％,but there were negative growths in outpatient departments,clinics,and village clinics.The proportion of the primary TCM costs in its health costs increased from 29.16％to 32.56％.The average annual growth rate of income from primary herbal medicines and processed Chinese medicines were 16.75％and 10.13％.Conclusion:The primary TCM undertaking has developed steadily,and Beijing should continue to guide high-quality TCM resources to sink.Multiple measures should be taken to promote the development of TCM in outpatient departments,clinics,and village clinics.The coordination between prices and medical insurance reimbursement and payment methods should be strengthened.Supervision over the quality and use of Chinese medicine should be strengthened,and the technical service capabilities of primary TCM should be enhanced.