Methods: This study enrolled 40 patients with AIS, 20 patients with congenital scoliosis (CS), and 20 patients with spinal degenerative disease (SDD). All patients underwent open posterior surgery in our hospital, and a paravertebral muscle (multifidus muscle) biopsy was performed intraoperatively. This study included many indexes that describe muscle, especially dystrophin staining. The above pathological results were compared among the AIS, CS, and SDD groups. The correlation between the Cobb angle and Nash–Moe classification and the above pathological results was analyzed in patients with AIS. Results: Significant reductions in the dystrophin staining of dystrophin-1 (p<0.001), dystrophin-2 (p<0.001), and dystrophin-3 (p<0.001) were observed in the AIS group than in the CS and SDD groups. The higher the Nash–Moe classification in the AIS group, the more significant the loss of dystrophin-2 (p=0.042) in the convex paraspinal muscles. Additionally, a significantly positive correlation was observed between the reductions of dystrophin-2 on the concave side of the AIS group and Cobb angle (p=0.011). Conclusions Dystrophin protein deficiency in the paraspinal muscles plays a crucial role in AIS formation and progression. The severity of scoliosis in patients with AIS is correlated with the extent of dystrophin loss in the paravertebral muscles. Therefore, dystrophin dysfunction may be relevant to AIS occurrence and development.

Objective To construct a prediction model for the progression of knee osteoarthritis(KOA)based on ultrasound score,magnetic resonance imaging(MRI)score,and serum levels of transforming growth factor-β1(TGF-β1)and cathepsin D(Cat D).Methods Clinical data from 270 patients with KOA in Hengshui People's hospital from December 2022 to June 2024 were retrospec-tively analyzed.The patients were randomly divided into a modeling set(n=189)and validation set(n=81)at a ratio of 7∶3.The patients in the modeling set were categorized into mild-to-moderate and severe groups based on the degree of disease progression.Mul-tivariate logistic regression analysis was used to identify factors influencing KOA progression,and a prediction model was constructed using R software.Results Multivariate logistic regression analysis showed that body mass index,knee injury history,ultrasound score,WORMS score,TGF-β1,and Cat D were significant predictors of KOA progression(P＜0.05).A nomogram-based prediction model was developed using these variables.The areas under the curve(AUC)of the nomograms for predicting disease progression in the modeling and validation sets were 0.889 and 0.860,respectively.The calibration curves showed that the predicted probability was in good agreement with the actual probability.Conclusion The prediction model developed in this study is effective in identifying patients at high-risk of KOA progression and may servce as a valuable tool for clinical assessment and decision making.

Methods: This study enrolled 40 patients with AIS, 20 patients with congenital scoliosis (CS), and 20 patients with spinal degenerative disease (SDD). All patients underwent open posterior surgery in our hospital, and a paravertebral muscle (multifidus muscle) biopsy was performed intraoperatively. This study included many indexes that describe muscle, especially dystrophin staining. The above pathological results were compared among the AIS, CS, and SDD groups. The correlation between the Cobb angle and Nash–Moe classification and the above pathological results was analyzed in patients with AIS. Results: Significant reductions in the dystrophin staining of dystrophin-1 (p<0.001), dystrophin-2 (p<0.001), and dystrophin-3 (p<0.001) were observed in the AIS group than in the CS and SDD groups. The higher the Nash–Moe classification in the AIS group, the more significant the loss of dystrophin-2 (p=0.042) in the convex paraspinal muscles. Additionally, a significantly positive correlation was observed between the reductions of dystrophin-2 on the concave side of the AIS group and Cobb angle (p=0.011). Conclusions Dystrophin protein deficiency in the paraspinal muscles plays a crucial role in AIS formation and progression. The severity of scoliosis in patients with AIS is correlated with the extent of dystrophin loss in the paravertebral muscles. Therefore, dystrophin dysfunction may be relevant to AIS occurrence and development.

Methods: This study enrolled 40 patients with AIS, 20 patients with congenital scoliosis (CS), and 20 patients with spinal degenerative disease (SDD). All patients underwent open posterior surgery in our hospital, and a paravertebral muscle (multifidus muscle) biopsy was performed intraoperatively. This study included many indexes that describe muscle, especially dystrophin staining. The above pathological results were compared among the AIS, CS, and SDD groups. The correlation between the Cobb angle and Nash–Moe classification and the above pathological results was analyzed in patients with AIS. Results: Significant reductions in the dystrophin staining of dystrophin-1 (p<0.001), dystrophin-2 (p<0.001), and dystrophin-3 (p<0.001) were observed in the AIS group than in the CS and SDD groups. The higher the Nash–Moe classification in the AIS group, the more significant the loss of dystrophin-2 (p=0.042) in the convex paraspinal muscles. Additionally, a significantly positive correlation was observed between the reductions of dystrophin-2 on the concave side of the AIS group and Cobb angle (p=0.011). Conclusions Dystrophin protein deficiency in the paraspinal muscles plays a crucial role in AIS formation and progression. The severity of scoliosis in patients with AIS is correlated with the extent of dystrophin loss in the paravertebral muscles. Therefore, dystrophin dysfunction may be relevant to AIS occurrence and development.

Objective To construct a prediction model for the progression of knee osteoarthritis(KOA)based on ultrasound score,magnetic resonance imaging(MRI)score,and serum levels of transforming growth factor-β1(TGF-β1)and cathepsin D(Cat D).Methods Clinical data from 270 patients with KOA in Hengshui People's hospital from December 2022 to June 2024 were retrospec-tively analyzed.The patients were randomly divided into a modeling set(n=189)and validation set(n=81)at a ratio of 7∶3.The patients in the modeling set were categorized into mild-to-moderate and severe groups based on the degree of disease progression.Mul-tivariate logistic regression analysis was used to identify factors influencing KOA progression,and a prediction model was constructed using R software.Results Multivariate logistic regression analysis showed that body mass index,knee injury history,ultrasound score,WORMS score,TGF-β1,and Cat D were significant predictors of KOA progression(P＜0.05).A nomogram-based prediction model was developed using these variables.The areas under the curve(AUC)of the nomograms for predicting disease progression in the modeling and validation sets were 0.889 and 0.860,respectively.The calibration curves showed that the predicted probability was in good agreement with the actual probability.Conclusion The prediction model developed in this study is effective in identifying patients at high-risk of KOA progression and may servce as a valuable tool for clinical assessment and decision making.

Osteoporosis is a globally prevalent metabolic bone disease,with bone homeostasis imbalance being its key pathogenic mechanism.Over the years,studies on the relationship between ambient temperature and bone health have shown heterogeneous results due to different conditions.Epidemiological studies indicate that the incidence of osteoporotic fractures varies geographically and climatically.People in cold regions experience earlier bone loss,and high-latitude cold areas are high-risk zones for hip fractures.Osteoporosis is more prevalent in North China that in South China.Additionally,the early stage of the disease is insidious,highlighting the need for early prevention and treatment across the entire population.Mechanistically,low temperatures affect acral bone development,reduce bone blood circulation,cause degradation of bone microstructure,and increase osteocyte apoptosis,thereby promoting bone resorption and reducing bone mass.This review aims to provide data and new lines of thought for the early precise prevention and effective clinical treatment of osteoporosis in cold regions.

Objective To explore the effect of cognitive behavioral therapy(CBT)on improving anxiety,depression,sleep,and fatigue in patients with post-intensive care syndrome(PICS).Methods Sixty PICS patients transferred from the department of respiratory intensive care unit(RICU)of Puyang Oilfield General Hospital from September 2022 to February 2023 were selected as the study subjects.Patients were divided into a control group and an intervention group using a random number table method,with 30 cases in each group.The control group only received routine health education,while the intervention group received CBT on the basis of routine health education.After 3 months of intervention,the changes in hospital anxiety and depression scale(HADS),Pittsburgh sleep quality index(PSQI),and fatigue assessment scale(FAS)before and after intervention were observed in both groups of patients.Results There was no statistically significant difference in anxiety,depression,PSQI,and FAS scores between the two groups of patients before intervention.The scores gradually decreased over time and reached the lowest level at 3 months after intervention.After intervention,the above scores in the intervention group were significantly lower than those in the control group(anxiety score:5.06±1.76 vs.9.33±1.42,depression score:6.93±1.64 vs.7.63±1.61,PSQI score:5.27±1.37 vs.8.43±2.56,FAS score:5.67±0.47 vs.9.97±0.21,all P<0.05).Conclusion Implementing CBT for PICS patients can alleviate anxiety and depression,improve their sleep quality and fatigue symptoms,thereby enhancing their quality of life.

BACKGROUND: Several studies have demonstrated the occurrence of secondary tumors as a rare but significant complication of chimeric antigen receptor T (CAR-T) cell therapy, underscoring the need for a detailed investigation. Given the limited variety of secondary tumor types reported to date, a comprehensive characterization of the various secondary tumors arising after CAR-T therapy is essential to understand the associated risks and to define the role of the immune microenvironment in malignant transformation. This study aims to characterize the immune microenvironment of a newly identified secondary tumor post-CAR-T therapy, to clarify its pathogenesis and potential therapeutic targets. METHODS: In this study, the bone marrow (BM) samples were collected by aspiration from the primary and secondary tumors before and after CD19 CAR-T treatment. The CD45 + BM cells were enriched with human CD45 microbeads. The CD45 + cells were then sent for 10× genomics single-cell RNA sequencing (scRNA-seq) to identify cell populations. The Cell Ranger pipeline and CellChat were used for detailed analysis. RESULTS: In this study, a rare type of secondary chronic myelomonocytic leukemia (CMML) were reported in a patient with diffuse large B-cell lymphoma (DLBCL) who had previously received CD19 CAR-T therapy. The scRNA-seq analysis revealed increased inflammatory cytokines, chemokines, and an immunosuppressive state of monocytes/macrophages, which may impair cytotoxic activity in both T and natural killer (NK) cells in secondary CMML before treatment. In contrast, their cytotoxicity was restored in secondary CMML after treatment. CONCLUSIONS This finding delineates a previously unrecognized type of secondary tumor, CMML, after CAR-T therapy and provide a framework for defining the immune microenvironment of secondary tumor occurrence after CAR-T therapy. In addition, the results provide a rationale for targeting macrophages to improve treatment strategies for CMML treatment.
Humans ; Lymphoma, Large B-Cell, Diffuse/therapy* ; Tumor Microenvironment/genetics* ; Antigens, CD19/metabolism* ; Leukemia, Myelomonocytic, Chronic/genetics* ; Immunotherapy, Adoptive/adverse effects* ; Male ; Single-Cell Analysis/methods* ; Female ; Sequence Analysis, RNA/methods* ; Receptors, Chimeric Antigen ; Middle Aged

Objective To explore the effect of cognitive behavioral therapy(CBT)on improving anxiety,depression,sleep,and fatigue in patients with post-intensive care syndrome(PICS).Methods Sixty PICS patients transferred from the department of respiratory intensive care unit(RICU)of Puyang Oilfield General Hospital from September 2022 to February 2023 were selected as the study subjects.Patients were divided into a control group and an intervention group using a random number table method,with 30 cases in each group.The control group only received routine health education,while the intervention group received CBT on the basis of routine health education.After 3 months of intervention,the changes in hospital anxiety and depression scale(HADS),Pittsburgh sleep quality index(PSQI),and fatigue assessment scale(FAS)before and after intervention were observed in both groups of patients.Results There was no statistically significant difference in anxiety,depression,PSQI,and FAS scores between the two groups of patients before intervention.The scores gradually decreased over time and reached the lowest level at 3 months after intervention.After intervention,the above scores in the intervention group were significantly lower than those in the control group(anxiety score:5.06±1.76 vs.9.33±1.42,depression score:6.93±1.64 vs.7.63±1.61,PSQI score:5.27±1.37 vs.8.43±2.56,FAS score:5.67±0.47 vs.9.97±0.21,all P<0.05).Conclusion Implementing CBT for PICS patients can alleviate anxiety and depression,improve their sleep quality and fatigue symptoms,thereby enhancing their quality of life.

Objective To observe the efficacy and safety of sacubitril valsartan in the treatment of dilated cardiomyopathy (DCM) in children. Methods A total of 19 hospitalized children with DCM were retrospectively selected as study subjects. All patients received captopril combined with conventional anti-heart failure therapy for 1 to 4 weeks, but due to ineffective treatment, they were switched to treatment of sacubitril valsartan. Clinical data, biochemical indicators, and echocardiographic findings were collected to assess changes in clinical symptoms and related indicators after 1-, 3-, 6-, and 12-month sacubitril valsartan treatment. Information on the dosage and administration of sacubitril valsartan, as well as the occurrence of adverse reactions was collected. Results Among 19 patients, there were 8 males and 11 females, with a median age of 3 years. Heart function was classified as grade Ⅱ in 2 patients, grade Ⅲ in 10 patients, and grade Ⅳ in 7 patients. At the final follow-up, the efficacy assessment showed significant improvement in 8 patients, effective improvement in 6 patients, and no improvement in 5 patients, with a total effective rate of 73.7%. After 1-, 3-, 6-, and 12-month sacubitril valsartan treatment, the levels of N-terminal pro-B-type natriuretic peptide (NT-proBNP) were lower, left ventricular ejection fraction (LVEF) was higher, and left ventricular diastolic diameter (LVDd)-Z value was smaller compared with those before treatment (P < 0.05). The initial single dose of sacubitril valsartan was 0.8 mg/kg, and the average maintenance dose was 1.7 mg/kg, administered twice daily. After treatment, 1 patient developed hypotension, and 5 patients exhibited mild abnormalities in renal function indicators (of which 4 recovered to normal levels after tolerance). Conclusion Sacubitril valsartan can effectively improve heart failure symptoms and cardiac function indicators in children with DCM, but close monitoring of blood pressure and renal function changes is required during treatment.