Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Due to the unique characteristics and complexity of administration of orally inhaled drug products,bioequivalence trial for orally inhaled generic drugs presents greater challenges in clinical implementation compared to conventional oral administration.This difficulty is particularly evident inmainly attributed to the variability during the self-administration inhalation of inhaled drugss by subjects.Therefore,effective management of subjects is crucial in clinical trials involving orally inhaled products.This paper,based on the experience in conducting bioequivalence trials for orally inhaled drug products,discusses key factors and measures for successful subject management in clinical trials.The aim is to enhance the clinical implementation capabilities of researchers in the evaluation of generic consistency for inhaled drug products and to ensure the quality of clinical trials.

Objective To observe the clinical efficacy of citicoline sodium tablets combined with huperzine A tablets in the treatment of patients with cognitive impairment after stroke,and to explore the influence on neurological function and serum levels of vascular endothelial growth factor(VEGF)and brain-derived neurotrophic factor(BDNF).Methods Patients with cognitive impairment after stroke were classified into control group and treatment group according to cohort method.The control group was given oral administration of huperzine A tablets 0.1-0.2 mg for twice a day,while the treatment group was given 0.2 g citicoline sodium tablets orally for three times a day on the basis of the control group.Both groups of patients were treated for 12 weeks.The clinical efficacy,cognitive function[Mini-Mental State Examination(MMSE),National Institute of Health stroke scale,Barthel index],neurological function and daily living ability and serum vascular endothelial growth factor(VEGF)and brain-derived neurotrophic factor(BDNF)levels were compared and safety was evaluated.Results One hundred patients were enrolled in the experimental group and the control group.After treatment,the total effective rates in treatment group and control group were 92.00％(92 cases/100 cases)and 75.00％(75 cases/100 cases)with significant difference(P＜0.05).The MMSE scores in treatment group and control group after treatment were(23.40±2.43)and(19.35±2.51)points;the scores of National Institutes of Health Stroke Scale were(12.25±1.24)and(15.84±1.61)points;the Barthel Index scores were(71.14±8.60)and(64.26±8.33)points;VEGF levels were(191.52±14.80)and(125.73±11.48)pg·mL-1;BDNF levels were(9.47±1.59)and(8.01±1.35)ng·mL-1.There were statistically significant differences in the above indexes between the treatment group and the control group(all P＜0.05).The adverse drug reactions in the treatment group were mainly dizziness and nausea,and the adverse drug reactions in the control group were mainly dizziness and nausea.The incidence rates of adverse drug reactions in treatment group and control group were 8.00％(8 cases/100 cases)and 5.00％(5 cases/100 cases)(P＞0.05).Conclusion Citicoline sodium tablets combined with huperzine A tablets have a definite efficacy in the treatment of patients with cognitive impairment after stroke,and it has a significant improvement effect on cognitive function and neurological function of patients,with good safety.

Objective To propose a human life signal separation and reconstruction method based on optimized variational mode decomposition(VMD)to improve the accuracy and timeliness of the life detection radar in extracting and separating human life signals such as heartbeat and respiration.Methods Firstly,the particle swarm optimization algorithm was used to optimize the parameters of VMD,and the human life signal was decomposed into a series of intrinsic mode functions(IMFs);secondly,the alignment entropy of each IMF was calculated,the noise was removed based on the alignment entropy threshold,and the remaining components were reconstructed to form human life signals;finally,the method proposed was compared with infinite impulse response(IIR)filtering,VMD and complete ensemble empirical mode decomposition with adaptive nosie(CEEMDAN)to verify its performance.Results Under different noise levels the proposed method outperformed IIR filtering,VMD and CEEMDAN in evaluation metrics of signal-to-noise ratio and root-mean-square error,and behaved better than CEEMDAN in terms of computational time-consumption.Conclusion The proposed method realizes rapid separation and reconstruction of vital signals such as heartbeat and respiration while effectively filtering out the noise,which has broad application prospects in the fields of non-contact vital signs detection of bum/scald patients,infectious disease patients and newborns and the search and rescue of buried casualties after a disaster.[Chinese Medical Equipment Journal,2024,45(3):9-15]

Objective To analyze the clinical characteristics of high energy metabolism in lung cancer patients and its correlation with body composition,nutritional status,and quality of life,and to develop a corresponding risk prediction model.Methods Retrospectively analyzed 132 primary lung cancer patients admitted to the First Hospital of Shanxi Medical University from January 2022 to May 2023,and categorized into high(n=94)and low energy metabolism group(n=38)based on their metabolic status.Differences in clinical data,body composition,Patient Generated Subjective Global Assessment(PG-SGA)scores,and European Organization for Research and treatment of Cancer(EORTC)Quality of Life Questionnaire-Core 30(QLQ-C30)scores were compared between the two groups.Logistic regression was used to identify the risk factors for high energy metabolism in lung cancer patients,and a risk prediction model was established accordingly;the Hosmer-Lemeshow test was used to assess the model fit,and the ROC curve was used to test the predictive efficacy of the model.Results Of the 132 patients with primary lung cancer,94(71.2%)exhibited high energy metabolism.Compared with low energy metabolism group,patients in high-energy metabolism group had a smoking index of 400 or higher,advanced disease staging of stage Ⅲ or Ⅳ,and higher levels of IL-6 level,low adiposity index,low skeletal muscle index,and malnutrition(P<0.05),and lower levels of total protein,albumin,hemoglobin level,and prognostic nutritional index(PNI)(P<0.05).There was no significant difference in age,gender,height,weight,BMI and disease type between the two groups(P>0.05).Logistic regression analysis showed that smoking index≥400,advanced disease stage,IL-6≥3.775 ng/L,and PNI<46.43 were independent risk factors for high energy metabolism in lung cancer patients.The AUC of the ROC curve for the established prediction model of high energy metabolism in lung cancer patients was 0.834(95%CI 0.763-0.904).Conclusion The high energy metabolic risk prediction model of lung cancer patients established in this study has good fit and prediction efficiency.

Objective To investigate the clinical characteristics of Ureaplasma urealyticum(UU)infection and colonization in extremely preterm infants and its impact on the incidence of bronchopulmonary dysplasia(BPD).Methods A retrospective analysis was conducted on 258 extremely preterm infants who were admitted to the Department of Neonatology,Shenzhen Maternity and Child Healthcare Hospital,from September 2018 to September 2022.According to the results of UU nucleic acid testing and the evaluation criteria for UU infection and colonization,the subjects were divided into three groups:UU-negative group(155 infants),UU infection group(70 infants),and UU colonization group(33 infants).The three groups were compared in terms of general information and primary and secondary clinical outcomes.Results Compared with the UU-negative group,the UU infection group had significant increases in the incidence rate of BPD,total oxygen supply time,and the length of hospital stay(P<0.05),while there were no significant differences in the incidence rates of BPD and moderate/severe BPD between the UU colonization group and the UU-negative group(P>0.05).Conclusions The impact of UU on the incidence of BPD in extremely preterm infants is associated with the pathogenic state of UU(i.e.,infection or colonization),and there are significant increases in the incidence rate of BPD,total oxygen supply time,and the length of hospital stay in extremely preterm infants with UU infection.UU colonization is not associated with the incidence of BPD and moderate/severe BPD in extremely preterm infants.