OBJECTIVE: To investigate the associations between eight serum per- and polyfluoroalkyl substances (PFASs) and regional fat depots, we analyzed the data from the National Health and Nutrition Examination Survey (NHANES) 2011-2018 cycles. METHODS: Multiple linear regression models were developed to explore the associations between serum PFAS concentrations and six fat compositions along with a fat distribution score created by summing the concentrations of the six fat compositions. The associations between structurally grouped PFASs and fat distribution were assessed, and a prediction model was developed to estimate the ability of PFAS exposure to predict obesity risk. RESULTS: Among females aged 39-59 years, trunk fat mass was positively associated with perfluorooctane sulfonate (PFOS). Higher concentrations of PFOS, perfluorohexane sulfonate (PFHxS), perfluorodecanoate (PFDeA), perfluorononanoate (PFNA), and n-perfluorooctanoate (n-PFOA) were linked to greater visceral adipose tissue in this group. In men, exposure to total perfluoroalkane sulfonates (PFSAs) and long-chain PFSAs was associated with reductions in abdominal fat, while higher abdominal fat in women aged 39-59 years was associated with short-chain PFSAs. The prediction model demonstrated high accuracy, with an area under the curve (AUC) of 0.9925 for predicting obesity risk. CONCLUSION PFAS exposure is associated with regional fat distribution, with varying effects based on age, sex, and PFAS structure. The findings highlight the potential role of PFAS exposure in influencing fat depots and obesity risk, with significant implications for public health. The prediction model provides a highly accurate tool for assessing obesity risk related to PFAS exposure.
Humans ; Fluorocarbons/blood* ; Female ; Adult ; Middle Aged ; Male ; Environmental Pollutants/blood* ; Abdominal Fat ; Nutrition Surveys ; Alkanesulfonic Acids/blood* ; Obesity ; Environmental Exposure

Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.

Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To establish and optimize an in vitro incubation system with human liver micro-somes and investigate the in vitro metabolites and possible metabolic pathways of mirtazapine.Methods Three major metabolites of mirtazapine were selected to optimize the incubation conditions of liver mi-crosomes.The metabolites of mirtazapine were analyzed by liquid chromatography-high resolution mass spectrometry(LC-HRMS)to identify the in vitro metabolites and metabolic pathways of mir-tazapine.Results Ten metabolites,including nine phase Ⅰ metabolites and one phase Ⅱ metabolite,were identified in the in vitro liver microsome incubation.Among them,five new metabolites and one new metabolic pathway were discovered.The pathways involved in phase Ⅰ metabolic included methyla-tion,hydroxylation,oxidation,reduction,etc.,while the phase Ⅱ biotransformation was mainly glucuroni-dation.Conclusion The metabolites discovered in this study are consistent with the main metabolites of mirtazapine reported in literature,which are N-desmethylmetazapine,8-hydroxy mirtazapine and mirtazapine-N-oxide.The results can provide basis for the confirmation of mirtazapine cases and pro-vide reference for the study of other substances.

Objective To explore the effect and safety of target controlled infusion mode based on precision anesthesia concept in cardiac surgery anesthesia.Methods A total of 100 patients underwent cardiac surgery in our hospital were selected as the research subjects,and they were randomly divided into the control group and the observation group,with 50 cases in each group.The surgical types,surgical related indicators,dosage of anesthetic drugs,and complications of the two groups were compared.Results There was no statistically significant difference in the proportions of patients who underwent coronary artery bypass surgery,valve surgery,macrovascular surgery,artial septal defect repair surgery,or other types of surgery between the two groups(P>0.05).There were statistically significant differences in the surgical time,bleeding volume,infusion volume,proportion of cardiopulmonary bypass,times of postoperative analgesic drug use and mechanical ventilation duration between the two groups(P<0.05).The usage of various anesthetic drugs in the observation group was lower than that in the control group,with statistically significant difference(P<0.05).The incidence of complication in the observation group was lower than that in the control group,and the difference was statistically significant(P<0.05).Conclusion The target controlled infusion mode based on precision anesthesia concept can be used for cardiac surgery anesthesia to reduce the dosage of anesthetic drugs and postoperative complications,and improve the anesthesia effect and surgical safety.

Objective To establish a health education program for home emergency management of acute complications of diabetes in the elderly.Methods The program was drafted by literature review and panel discussion.The final draft was formed after two rounds of correspondence from 13 experts.Results The recovery rate of the two rounds of expert correspondence was 100%,and the expert authority coefficient was 0.98.The Kendall's harmony coefficients of the two rounds of correspondence were 0.263 and 0.212 respectively(both P<0.001).The established health education program included indicators of three categories:early stage of acute complications of diabetes at home(understanding the inducing factors),emergency warning(quick and early identification in case of emergency),and emergency treatment at home.Conclusion The contents of the health education program are systematic and reliable and meet the needs of health education for home emergency management of the elderly with diabetes.
Humans ; Aged ; Delphi Technique ; Health Education ; Diabetes Mellitus/therapy* ; Diabetes Complications

OBJECTIVE: To investigate the clinical characteristics, therapeutic response and prognosis of patients with plasma cell leukemia (PCL) and improve the understanding of this disease. METHODS: The clinical manifestations, laboratory tests and treatment response of 27 patients with plasma cell leukemia treated in The Second Hospital of Shanxi Medical University from December 2010 to August 2019 were analyzed retrospectively, and their clinical characteristics were summarized. Kaplan-Meier method was used for survival analysis. RESULTS: There were 18 cases of primary plasma cell leukemia (pPCL) and 9 cases of secondary plasma cell leukemia (sPCL). The male to female ratio was 1.7∶1. The median age was 62 years old. The first manifestations were bone pain, fatigue, fever, splenomegaly and bleeding, and a large number of plasma cell infiltration was observed in the morphological examination of peripheral blood and bone marrow cells. 13 cases were detected by immunotyping and all of them expressed CD38/CD138. 8 cases underwent karyotype analysis, and 3 cases were normal, clonal abnormalities occurred in 5 cases. FISH detection was performed in 12 cases, of which 8 cases were abnormal. In 17 cases of bortezomib based chemotherapy, the ovevall response rate was 52.9%, which was higher than that in the non-bortezomib group, but there was no significant difference between the two groups (P =0.242). The overall median survival time of 27 patients was 6.4 months, the median progression-free survival time was 3.5 months, and the median survival time of patients with pPCL and sPCL was 8.2 months and 2.4 months, respectively, the difference between the two groups was statistically significant (P =0.031). CONCLUSION PCL is highly invasive and has diverse clinical manifestations, and is not sensitive to traditional chemotherapy. The median survival time of patients with pPCL is relatively longer than that of patients with sPCL. The chemotherapy regimen based on bortezomib improves the treatment effectiveness and prolongs the survival time of PCL patients.
Male ; Female ; Humans ; Leukemia, Plasma Cell/diagnosis* ; Retrospective Studies ; Bortezomib/therapeutic use* ; Prognosis ; Survival Analysis

OBJECTIVE: To observe the effect of acupuncture at "Feishu" (BL 13) + "Dingchuan" (EX-B 1) and "Kongzui" (LU 6) + "Yuji" (LU 10) for the airway remodeling in asthma rats based on the transforming growth factor-β1 (TGF-β1)/ Smad family member 3 (Smad3) signaling pathway; and explore the efficacy difference between the two acupoint combinations. METHODS: Forty SPF male SD rats, aged 4 weeks, were randomly divided into a blank group (n = 10) and a modeling group (n = 30). The ovalbumin (OVA) sensitization method was used to establish asthma model in the modeling group. After successful model preparation, the rats of the modeling group were randomized into a model group, an acupuncture at "Feishu" (BL 13) + "Dingchuan" (EX-B 1) (AAF) group, and acupuncture at "Kongzui" (LU 6)+"Yuji" (LU 10) (AAK) group, with 10 rats in each one. Starting from day 15 of the experiment, 5 min after motivating, acupuncture was applied to "Feishu" (BL 13) + "Dingchuan" (EX-B 1) and "Kongzui" (LU 6)+"Yuji" (LU 10) in the AAF group and the AAK group respectively. The intervention was delivered for 30 min each time, once daily, lasting 3 weeks consecutively. Using lung function detector, the airway resistance (RL) and dynamic compliance (Cdyn) of the lungs were detected. The histomorphology of lung tissues was detected with HE staining and Masson staining, and the mRNA and protein expression of TGF-β1 and Smad3 in lung tissues was detected with the real-time PCR and Western blot methods. RESULTS: Compared with the blank group, RL was increased and Cdyn was decreased in the rats of the model group (P<0.01); and RL was reduced and Cdyn was increased in the AAF group and the AAK group when compared with those in the model group (P<0.01, P<0.05). The rats of the model group had bronchial lumen stenosis, inflammatory cell infiltration, collagen fibre hyperplasia and thickened smooth muscle in the lung tissues when compared with those in the blank group; and in comparison with the model group, all of the above morphological changes were attenuated in the AAF group and the AAK group. Besides, these morphological changes of the lung tissues were more alleviated in the AAF group when compared with those in the AAK group. In comparison with the blank group, the mRNA and protein expression of TGF-β1 and Smad3 of the lung tissues was increased in the model group (P<0.01), and it was reduced in the AAF group and the AAK group when compared with that in the model group (P<0.05, P<0.01). The mRNA expression of TGF-β1 and Smad3 was lower in the AAF group when compared with that in the AAK group (P<0.05). CONCLUSION Acupuncture at either "Feishu" (BL 13)+"Dingchuan" (EX-B 1) or "Kongzui" (LU 6)+"Yuji" (LU 10) reduces the airway remodeling in the rats with asthma, which may be related to the down-regulation of mRNA and protein expression of TGF-β1 and Smad3. The better efficacy is obtained with acupuncture at "Feishu" (BL 13)+"Dingchuan" (EX-B 1).
Male ; Animals ; Rats ; Rats, Sprague-Dawley ; Transforming Growth Factor beta1/genetics* ; Airway Remodeling ; Acupuncture Therapy ; Signal Transduction ; Asthma/therapy* ; Constriction, Pathologic ; Anti-Asthmatic Agents