Objective To develop and internally validate a nomogram prediction model for evaluating the risk of sarcopenia in patients with type 2 diabetes mellitus(T2DM).Methods A total of 766 patients with T2DM hospitalized in the Department of Endocrinology of our hospital from January 2023 to July 2024 were selected and divided into a simple T2DM group(n=627)and a combined sarcopenia(Sar)group(n=139)according to the presence or absence of sarcopenia.The general data and biochemical indexes of the two groups were compared.LASSO regression and Logistic regression were used to screen predictors and construct a nomogram model.Bootstrap resampling was used for internal validation.Receiver operating characteristic(ROC)curve analysis,Hosmer-Lemeshow test calibration curve analysis,and decision curve analysis(DCA)were used to evaluate the performance of the nomogram prediction model.Results The proportion of females,age,DM duration,proportion of diabetic peripheral neuropathy,proportion of diabetic retinopathy(DR),hemoglobin A1c(HbA1c)and high-density lipoprotein cholesterol in the Sar group were higher than those in the T2DM group(P<0.05),while body mass index(BMI),serum creatinine/cystatin C ratio(CCR),triglyceride,albumin(Alb)and alanine aminotransferase were lower than those in the T2DM group(P<0.05).The predictive variables screened by LASSO regression analysis were age,gender,ethnicity,DM duration,hypertension,DR,BMI,HbA1c,CCR,25(OH)D,HDL-C,and Alb.Logistic regression analysis showed that age,HbA1c,CCR,BMI and ethnicity were the influencing factors of sarcopenia in patients with T2DM.Based on this,a nomogram was constructed.ROC curve analysis showed that the AUC of the nomogram prediction model was 0.91,and internal validation indicated that the corrected AUC remained 0.91.The Hosmer-Lemeshow test results showed that the predicted values were highly consistent with the actual observed values(P>0.05).The DCA results show that when the threshold probability is between 0.1 and 1.0,the net benefit brought by applying this model for prediction is superior to the strategy assuming that all patients receive or none receive treatment.Conclusions The nomogram model effectively predicts the risk of sarcopenia in patients with T2DM,providing a convenient and practical screening tool for clinical use.

Objective:To investigate the risk factors for postoperative coronal imbalance in patients with type A degenerative scoliosis and to refine the Qiu classification by reclassifying type A patients.Methods:A retrospective analysis was conducted on the clinical data of patients with type A degenerative scoliosis classified by the Qiu classification who underwent corrective surgery at our hospital from January 2017 to April 2022. A total of 69 patients were enrolled in the study, including 3 males and 66 females, with an age of 60.6±6.8 years (range: 47-71 years). Based on the preoperative CBD, type A patients were further divided into three subtypes: Aa with CBD≤1 cm, Ab with CBD>1 cm with C 7 plumb line deviation toward the concave side, and Ac with CBD>1 cm with C 7 plumb line deviation toward the convex side. The incidence of coronal imbalance was compared among subtypes. During follow-up, patients with CBD ≤3 cm were classified as balanced, and those with CBD>3 cm as imbalanced. Radiographic parameters including coronal Cobb's angle (CA), CBD, L 4 tilt angle, L 5 tilt angle, thoracic kyphosis (TK), lumbar lordosis (LL), pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), and sagittal vertical axis (SVA) were measured in the standing radiographs preoperatively, 2-weeks postoperatively and 2-years follow-up. Differences in radiographic parameters between balanced and imbalanced groups were compared, and binary logistic regression was used to identify risk factors for postoperative coronal imbalance. Results:In the imbalanced Group (22 patients), there were 6 patients of type Aa (27%), 5 patients of type Ab (23%), and 11 patients of type Ac (50%), and in the balanced Group (47 patients), there were 20 patients of type Aa (43%), 18 patients of type Ab (38%), and 9 patients of type Ae (19%). The difference in subtype distribution between the two groups was significant (χ 2=6.939, P=0.029). The CBD in the imbalanced group was significantly larger than in the balanced group at the 2-years follow-up (4.18±0.86 cm vs. 1.31±0.78 cm, t=-13.813, P<0.001). The preoperative L 4 tilt angle was significantly larger in the imbalanced group compared to the balanced group (23.59°±6.86° vs. 17.64°±8.34°, t=-2.914, P=0.005). And the postoperative and 2-years follow-up L 4 tilt angles were also significantly larger than the balanced group (18.6°±5.5° vs. 11.5°±5.7°, t=-4.904, P<0.001; 18.0°±5.6° vs. 11.1°±5.7°, t=-4.691, P<0.001). Regression analysis identified the Ac type [ OR=3.937, 95% CI(1.07, 14.55), P=0.040] and excessive postoperative L 4 tilt angle [ OR=1.288, 95% CI(1.09, 1.52), P=0.003] as risk factors for postoperative coronal imbalance in type A patients. Conclusions:In the A-type of Qiu classification, patients with preoperative CBD>1 cm and trunk tilting towards the convex side (Ac type), as well as those with a large L 4 tilt angle after surgery, are more likely to experience coronal plane imbalance after surgery.

Objective:To investigate the difference of Roussouly ideal classification in predicting postoperative proximal junctional kyphosis (PJK) between adult degenerative spinal deformity patients with and without pelvic fixation and the potential reasons.Methods:From January 2017 to January 2020, a total of 95 patients (4 males, 91 females; with an average age of 62.03±6.30 years) with degenerative spinal deformities were retrospectively analyzed. There were 35 patients in the non-pelvic group (1 male, 34 females) and 60 patients in the pelvic group (3 males, 57 females). The radiographic parameters included coronal Cobb's angle (CA), pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), thoracic kyphosis (TK), lumbar lordosis (LL), sagittal vertical axis (SVA), T1 pelvic angle (TPA), and proximal junctional angle (PJA) were measured in the standing radiographs preoperatively, postoperatively at 2 weeks, and 2-year follow-up. Changes in PT and SS were calculated for patients at 2 weeks and the 2-year follow-up. Based on the revised Roussouly classification, 95 patients were classified into different types preoperatively, postoperatively at 2 weeks, and during the 2-year follow-up. Changes in the classification of patients were documented postoperatively at 2 weeks. Roussouly types were determined using preoperative pelvic parameters, and a match was defined when the 2-week postoperative classification aligned with the ideal type. The occurrence of PJK and the relationship with classification matching were recorded in the group. Independent t-tests were used for intergroup comparisons of radiographic parameters, and chi-square tests were employed to assess classification changes and predictive accuracy of the Roussouly classification. Results:Preoperative PT, TPA and SVA in non-pelvic group were significantly smaller than those in pelvic group, and preoperative SS and LL larger than those in pelvic group ( P<0.05). The changes of PT and SS in non-pelvic group were significantly lower than those in pelvic group 2 weeks after surgery ( P<0.05). The proportion of classification changes in the pelvic group was significantly higher than that in the non-pelvic group (60% vs. 34%, χ 2=5.847, P=0.016). Among the 95 patients, a total of 29 experienced PJK during the follow-up, with 3 cases progressing to PJF. The incidence of PJK in mismatched patients was 37% with no significant difference compared with matched patients (19%) (χ 2=3.357, P=0.067). In the sacral spine group of 60 patients, 22 experienced PJK, with 3 cases progressing to PJF. Among them, 19 patients with PJK had a classification mismatch with the ideal classification at 2 weeks postoperatively. The PJK incidence was significantly higher in mismatched patients (45%) compared to matched patients (17%) (χ 2=4.429, P=0.035). In the non-pelvic group, 7 patients developed PJK, with 3 mismatched cases. The PJK incidence in mismatched vs. matched patients was 18% vs. 22%, showing no significant difference (χ 2=0.114, P=0.735). Conclusions:For the patients with degenerative spinal deformity, pelvic fixation leads to a more complete restoration of the ideal Roussouly classification. Restoration of the Roussouly type in patients with pelvic fixation is a reliable predictor of postoperative PJK. However, in patients without pelvic fixation, the alignment with the ideal Roussouly classification does not significantly correlate with PJK development.

Objective:To investigate the risk factors for postoperative coronal imbalance in patients with type A degenerative scoliosis and to refine the Qiu classification by reclassifying type A patients.Methods:A retrospective analysis was conducted on the clinical data of patients with type A degenerative scoliosis classified by the Qiu classification who underwent corrective surgery at our hospital from January 2017 to April 2022. A total of 69 patients were enrolled in the study, including 3 males and 66 females, with an age of 60.6±6.8 years (range: 47-71 years). Based on the preoperative CBD, type A patients were further divided into three subtypes: Aa with CBD≤1 cm, Ab with CBD>1 cm with C 7 plumb line deviation toward the concave side, and Ac with CBD>1 cm with C 7 plumb line deviation toward the convex side. The incidence of coronal imbalance was compared among subtypes. During follow-up, patients with CBD ≤3 cm were classified as balanced, and those with CBD>3 cm as imbalanced. Radiographic parameters including coronal Cobb's angle (CA), CBD, L 4 tilt angle, L 5 tilt angle, thoracic kyphosis (TK), lumbar lordosis (LL), pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), and sagittal vertical axis (SVA) were measured in the standing radiographs preoperatively, 2-weeks postoperatively and 2-years follow-up. Differences in radiographic parameters between balanced and imbalanced groups were compared, and binary logistic regression was used to identify risk factors for postoperative coronal imbalance. Results:In the imbalanced Group (22 patients), there were 6 patients of type Aa (27%), 5 patients of type Ab (23%), and 11 patients of type Ac (50%), and in the balanced Group (47 patients), there were 20 patients of type Aa (43%), 18 patients of type Ab (38%), and 9 patients of type Ae (19%). The difference in subtype distribution between the two groups was significant (χ 2=6.939, P=0.029). The CBD in the imbalanced group was significantly larger than in the balanced group at the 2-years follow-up (4.18±0.86 cm vs. 1.31±0.78 cm, t=-13.813, P<0.001). The preoperative L 4 tilt angle was significantly larger in the imbalanced group compared to the balanced group (23.59°±6.86° vs. 17.64°±8.34°, t=-2.914, P=0.005). And the postoperative and 2-years follow-up L 4 tilt angles were also significantly larger than the balanced group (18.6°±5.5° vs. 11.5°±5.7°, t=-4.904, P<0.001; 18.0°±5.6° vs. 11.1°±5.7°, t=-4.691, P<0.001). Regression analysis identified the Ac type [ OR=3.937, 95% CI(1.07, 14.55), P=0.040] and excessive postoperative L 4 tilt angle [ OR=1.288, 95% CI(1.09, 1.52), P=0.003] as risk factors for postoperative coronal imbalance in type A patients. Conclusions:In the A-type of Qiu classification, patients with preoperative CBD>1 cm and trunk tilting towards the convex side (Ac type), as well as those with a large L 4 tilt angle after surgery, are more likely to experience coronal plane imbalance after surgery.

Objective:To investigate the difference of Roussouly ideal classification in predicting postoperative proximal junctional kyphosis (PJK) between adult degenerative spinal deformity patients with and without pelvic fixation and the potential reasons.Methods:From January 2017 to January 2020, a total of 95 patients (4 males, 91 females; with an average age of 62.03±6.30 years) with degenerative spinal deformities were retrospectively analyzed. There were 35 patients in the non-pelvic group (1 male, 34 females) and 60 patients in the pelvic group (3 males, 57 females). The radiographic parameters included coronal Cobb's angle (CA), pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), thoracic kyphosis (TK), lumbar lordosis (LL), sagittal vertical axis (SVA), T1 pelvic angle (TPA), and proximal junctional angle (PJA) were measured in the standing radiographs preoperatively, postoperatively at 2 weeks, and 2-year follow-up. Changes in PT and SS were calculated for patients at 2 weeks and the 2-year follow-up. Based on the revised Roussouly classification, 95 patients were classified into different types preoperatively, postoperatively at 2 weeks, and during the 2-year follow-up. Changes in the classification of patients were documented postoperatively at 2 weeks. Roussouly types were determined using preoperative pelvic parameters, and a match was defined when the 2-week postoperative classification aligned with the ideal type. The occurrence of PJK and the relationship with classification matching were recorded in the group. Independent t-tests were used for intergroup comparisons of radiographic parameters, and chi-square tests were employed to assess classification changes and predictive accuracy of the Roussouly classification. Results:Preoperative PT, TPA and SVA in non-pelvic group were significantly smaller than those in pelvic group, and preoperative SS and LL larger than those in pelvic group ( P<0.05). The changes of PT and SS in non-pelvic group were significantly lower than those in pelvic group 2 weeks after surgery ( P<0.05). The proportion of classification changes in the pelvic group was significantly higher than that in the non-pelvic group (60% vs. 34%, χ 2=5.847, P=0.016). Among the 95 patients, a total of 29 experienced PJK during the follow-up, with 3 cases progressing to PJF. The incidence of PJK in mismatched patients was 37% with no significant difference compared with matched patients (19%) (χ 2=3.357, P=0.067). In the sacral spine group of 60 patients, 22 experienced PJK, with 3 cases progressing to PJF. Among them, 19 patients with PJK had a classification mismatch with the ideal classification at 2 weeks postoperatively. The PJK incidence was significantly higher in mismatched patients (45%) compared to matched patients (17%) (χ 2=4.429, P=0.035). In the non-pelvic group, 7 patients developed PJK, with 3 mismatched cases. The PJK incidence in mismatched vs. matched patients was 18% vs. 22%, showing no significant difference (χ 2=0.114, P=0.735). Conclusions:For the patients with degenerative spinal deformity, pelvic fixation leads to a more complete restoration of the ideal Roussouly classification. Restoration of the Roussouly type in patients with pelvic fixation is a reliable predictor of postoperative PJK. However, in patients without pelvic fixation, the alignment with the ideal Roussouly classification does not significantly correlate with PJK development.

Asthma is a chronic inflammatory disease involving multiple inflammatory cells and cytokines. Its pathogenesis is complex, involving various cells and cytokines. Traditional Chinese medicine(TCM) theory suggests that the pathogenesis of asthma is closely related to the dysfunction of internal organs such as the lungs, spleen, and kidneys. In contrast, modern immunological studies have revealed the central role of T helper 1(Th1)/T helper 2(Th2) and T helper 17(Th17)/regulatory T(Treg) cellular immune imbalance in the pathogenesis of asthma. Th1/Th2 imbalance is manifested as hyperfunction of Th2 cells, which promotes the synthesis of immunoglobulin E(IgE) and the activation of eosinophil granulocytes, leading to airway hyperresponsiveness and inflammation.Meanwhile, Th17/Treg imbalance exacerbates the inflammatory response in the airways, further contributing to asthma pathology.Currently, therapeutic strategies for asthma are actively exploring potential targets for regulating the balance of Th1/Th2 and Th17/Treg immune responses. These targets include cytokines, transcription factors, key proteins, and non-coding RNAs. Precisely regulating the expression and function of these targets can effectively modulate the activation and differentiation of immune cells. In recent years,traditional Chinese medicine active ingredients have shown unique potential and prospects in the field of asthma treatment. Based on this, the present study systematically summarizes the efficacy and specific mechanisms of TCM active ingredients in treating asthma by regulating Th1/Th2 and Th17/Treg immune balance through literature review and analysis. These active ingredients, including flavonoids, terpenoids, polysaccharides, alkaloids, and phenolic acids, exert their effects through various mechanisms, such as inhibiting the activation of inflammatory cells, reducing the release of cytokines, and promoting the normal differentiation of immune cells. This study aims to provide a solid foundation for the widespread application and in-depth development of TCM in asthma treatment and to offer new ideas for clinical research and drug development of asthma.
Asthma/genetics* ; Humans ; Drugs, Chinese Herbal/chemistry* ; Th2 Cells/drug effects* ; Th17 Cells/drug effects* ; T-Lymphocytes, Regulatory/drug effects* ; Th1 Cells/drug effects* ; Animals ; Cytokines/immunology* ; Medicine, Chinese Traditional

Asthma, a chronic inflammatory airway disease with a high global prevalence, has a complex pathogenesis, in which airway remodeling plays a key role in the chronicity of the disease. Airway remodeling involves a series of pathophysiological changes, including airway epithelial damage, proliferation of mucous glands and goblet cells, subepithelial fibrosis, proliferation and migration of airway smooth muscle cells, and epithelial-mesenchymal transition. These complex pathological changes significantly increase airway resistance and responsiveness, forming an important pathological basis for refractory asthma. Currently, the regulatory mechanisms of airway remodeling focus on signaling pathways and regulatory targets. The signaling pathways include phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt), nuclear factor-κB(NF-κB), transforming growth factor-β1(TGF-β1)/Smads, and mitogen-activated protein kinase(MAPK). The regulatory targets include microRNAs(miRNAs), competing endogenous RNAs(ceRNAs), long non-coding RNAs(lncRNAs), and circular RNAs(circRNAs). Key proteins involved in these processes include TGF-β1, silencing information regulator 2-related enzyme 1(SIRT1), chitinase 3-like protein 1(YKL-40), and adenosine deaminase-metalloproteinase 33(ADAM33). In recent years, the potential of traditional Chinese medicine in the treatment of asthma has become increasingly evident. Its active ingredients, extracts, and complexes can inhibit airway remodeling in asthma through multiple pathways, demonstrating a variety of effects, including anti-inflammatory actions, inhibition of smooth muscle cell proliferation and migration, regulation of epithelial-mesenchymal transition, attenuation of fibrosis and basement membrane thickening, reduction of mucus secretion, inhibition of vascular remodeling, modulation of immune imbalance, and antioxidative stress. This paper aims to provide an in-depth analysis of the pathogenesis and therapeutic targets of asthma, offering theoretical support and innovative strategies for clinical research and drug development in the treatment of asthma.
Asthma/pathology* ; Humans ; Airway Remodeling/drug effects* ; Drugs, Chinese Herbal/therapeutic use* ; Animals ; Signal Transduction/drug effects* ; Medicine, Chinese Traditional ; Transforming Growth Factor beta1/metabolism*

INTRODUCTION: The primary objective of this guideline is to establish evidence-based recommendations for the clinical use of parenteral nutrition (PN) in adult patients within the acute hospital setting in Singapore. METHOD: An expert workgroup, consisting of healthcare practitioners actively involved in clinical nutrition support across all public health institutions, systematically evaluated existing evidence and addressed clinical questions relating to PN therapy. RESULTS: This clinical practice guideline developed 30 recommendations for PN therapy, which cover these key aspects related to PN use: indications, patient assess-ment, titration and formulation of PN bags, access routes and devices, and monitoring and management of PN-related complications. CONCLUSION This guideline provides recommendations to ensure appropriate and safe clinical practice of PN therapy in adult patients within the acute hospital setting.
Humans ; Singapore ; Parenteral Nutrition/adverse effects* ; Adult

Objective To develop and compare prediction models for hyperuricemia(HUA)in perim-enopausal and postmenopausal women using Lasso regression,random forest,and multivariate logistic regres-sion.Methods A multi-stage,stratified cluster sampling method was used to select 12 790 subjects from An-ning City,Yunnan Province.Prediction models for HUA were constructed using Lasso regression,random for-est,and multivariate logistic regression.The efficacy of the model was evaluated by accuracy,sensitivity,speci-ficity,F1 score,and area under the curve(AUC).Results LASSO regression analysis screened 19 variables for inclusion in the model,such as age,waist circumference,diastolic blood pressure,BMI,HDL-C,fasting blood glucose(FBG),etc.The accuracy rate was 0.701,the sensitivity was 0.703,the specificity was 0.680,and the F1 score was 0.806.The AUC(95%CI)was 0.770(0.748-0.792).The results of the random forest model show that variables such as creatinine,triglyceride-glucose index(TyG),TG,BMI,TC,Urea nitrogen(Urea),and ALT were relatively important,with an accuracy rate of 0.663,a sensitivity of 0.653,a specificity of 0.738,and an F1 score of 0.774.The AUC(95%CI)was 0.763(0.741-0.785).Multivariate logistic re-gression results showed that 11 variables including creatinine(Cr),TyG,BMI,Urea,and ALT were included in the model,with an accuracy rate of 0.705,a sensitivity of 0.707,a specificity of 0.686,an F1 score of 0.809,and an AUC(95%CI)of 0.771(0.749-0.793).Conclusion The overall performance of LASSO re-gression and multivariate logistic regression models is better.The random forest model has a strong variable screening ability and high specificity,and can be used as a supplement to provide more accurate predictions.

Objective To develop and internally validate a nomogram prediction model for evaluating the risk of sarcopenia in patients with type 2 diabetes mellitus(T2DM).Methods A total of 766 patients with T2DM hospitalized in the Department of Endocrinology of our hospital from January 2023 to July 2024 were selected and divided into a simple T2DM group(n=627)and a combined sarcopenia(Sar)group(n=139)according to the presence or absence of sarcopenia.The general data and biochemical indexes of the two groups were compared.LASSO regression and Logistic regression were used to screen predictors and construct a nomogram model.Bootstrap resampling was used for internal validation.Receiver operating characteristic(ROC)curve analysis,Hosmer-Lemeshow test calibration curve analysis,and decision curve analysis(DCA)were used to evaluate the performance of the nomogram prediction model.Results The proportion of females,age,DM duration,proportion of diabetic peripheral neuropathy,proportion of diabetic retinopathy(DR),hemoglobin A1c(HbA1c)and high-density lipoprotein cholesterol in the Sar group were higher than those in the T2DM group(P<0.05),while body mass index(BMI),serum creatinine/cystatin C ratio(CCR),triglyceride,albumin(Alb)and alanine aminotransferase were lower than those in the T2DM group(P<0.05).The predictive variables screened by LASSO regression analysis were age,gender,ethnicity,DM duration,hypertension,DR,BMI,HbA1c,CCR,25(OH)D,HDL-C,and Alb.Logistic regression analysis showed that age,HbA1c,CCR,BMI and ethnicity were the influencing factors of sarcopenia in patients with T2DM.Based on this,a nomogram was constructed.ROC curve analysis showed that the AUC of the nomogram prediction model was 0.91,and internal validation indicated that the corrected AUC remained 0.91.The Hosmer-Lemeshow test results showed that the predicted values were highly consistent with the actual observed values(P>0.05).The DCA results show that when the threshold probability is between 0.1 and 1.0,the net benefit brought by applying this model for prediction is superior to the strategy assuming that all patients receive or none receive treatment.Conclusions The nomogram model effectively predicts the risk of sarcopenia in patients with T2DM,providing a convenient and practical screening tool for clinical use.