ObjectiveTo develop a novel clinical predictive model for metabolic dysfunction-associated fatty liver disease （MAFLD） based on metabolic markers and anthropometric indicators， and to provide a more effective tool for the early screening and intervention of MAFLD. MethodsA retrospective analysis was performed for 2 824 individuals who underwent abdominal color Doppler ultrasound at Health Examination Center of The First Hospital of Lanzhou University from January 1， 2024 to January 1， 2025， and at a ratio of 7∶3， they were randomly divided into training set with 1 976 patients and validation set with 848 patients. Clinical data， serological markers， and abdominal ultrasound results were collected from all patients， and triglyceride-glucose （TyG） index， triglyceride-to-high-density lipoprotein cholesterol （TG/HDL-C） ratio， and anthropometric indicators were calculated. The independent samples t-test was used for comparison of normally distributed or approximately normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of continuous data with skewed distribution between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. The multivariate logistic regression analysis was used to identify independent predictive factors for MAFLD and intermediate- to high-risk MAFLD. Five risk prediction models were established for MAFLD based on the independent influencing factors， and a nomogram was plotted. The receiver operating characteristic （ROC） curve was plotted to assess model performance， and the area under the ROC curve （AUC） was calculated. The calibration curve was used to evaluate the predictive accuracy of the models， and decision curve analysis was used to assess the clinical practicability of the models. These models were then compared with traditional models. ResultsAmong the 1 976 individuals in the training set， 937 （47.42%） were diagnosed with MAFLD， and 423 （21.41%） were diagnosed with intermediate- to high-risk MAFLD； among the 848 individuals in the validation set， 406 （47.88%） were diagnosed with MAFLD. The multivariate logistic regression analysis showed that male sex （odds ratio ［OR］=0.23， 95% confidence interval ［CI］： 0.13 — 0.39， P<0.05）， waist circumference （OR=1.11， 95%CI： 1.06 — 1.17， P<0.05）， alanine aminotransferase （ALT） >40 U/L （OR=2.24， 95%CI： 1.44 — 3.51， P<0.05）， high-density lipoprotein cholesterol （HDL-C） （OR=0.07， 95%CI： 0.04 — 0.15， P<0.05）， TyG index （OR=8.27， 95%CI： 5.09 — 13.44， P<0.05）， TG/HDL-C ratio （OR=0.84， 95%CI： 0.71 — 0.99， P<0.05）， A Body Shape Index （ABSI） （OR=0.45， 95%CI： 0.39 — 0.52， P<0.05）， and body roundness index （BRI） （OR=2.31， 95%CI： 1.50 — 3.55， P<0.05） were independent influencing factors for MAFLD， and male sex （OR=0.17， 95%CI： 0.10 — 0.31， P<0.05）， age （OR=1.09， 95%CI： 1.07 — 1.11， P<0.05）， hemoglobin （OR=0.98， 95%CI： 0.97 — 0.98， P<0.05）， platelet count （OR=0.81， 95%CI： 0.70 — 0.93， P<0.05）， fasting blood glucose （OR=0.80， 95%CI： 0.71 — 0.89， P<0.05）， triglycerides （OR=0.14， 95%CI： 0.07 — 0.29， P<0.05）， TG/HDL-C ratio （OR=0.78， 95%CI： 0.67 — 0.91， P<0.05）， TyG index （OR=5.26， 95%CI： 3.32 — 8.33）， waist circumference （OR=2.50， 95%CI： 1.72 — 3.61， P<0.05）， ABSI （OR=0.58， 95%CI： 0.51 — 0.66， P<0.05）， and BRI （OR=0.01， 95%CI： 0.00 — 0.21， P<0.05） were independent influencing factors for intermediate- to high-risk MAFLD. Among the five models established， model 5 （incorporating sex， ALT elevation， HDL-C， TyG index， TG/HDL-C ratio， waist circumference， and ABSI） had the best performance， with an AUC of 0.917 （95%CI： 0.905 — 0.929） in the training set and 0.911 （95%CI： 0.892 — 0.930） in the validation set. The calibration curve showed that model 5 had good predictive accuracy， and the decision curve analysis confirmed its clinical practicability. ConclusionThe predictive model for MAFLD constructed based on metabolic markers and anthropometric indicators has good discriminatory ability and can be used to assess the risk of MAFLD. In addition， this study shows that waist circumference， TyG index， TG/HDL-C ratio， ABSI， and BRI are independently associated with intermediate- to high-risk MAFLD， but further studies are needed to confirm their value in predicting liver fibrosis progression.

Diabetic peripheral neuropathy (DPN) is one of the common chronic complications of diabetes, presenting with neuropathic pain, sensory abnormalities, and sensory loss, and may lead to foot infections, ulcers, or amputation in severe cases. Its pathogenesis remains unclear, with challenge in early diagnosis and limited treatment efficacy. Emerging evidences suggest that DPN involves in not only the peripheral nervous system but also the central nervous system (CNS). With advances in imaging technologies, multimodal MRI has become a key tool to investigate CNS involvement in DPN. This review summarizes the structural, functional, metabolic, and perfusion-related CNS changes in DPN patients based on structural MRI, functional MRI, MR spectroscopy, and perfusion-weighted imaging, aiming to help early detection, clinical subtyping, and personalized treatment of DPN.

Peripheral neuropathic pain (PNP) patients exhibit complex and diverse symptoms, often accompanied by abnormal pain and hyperalgesia, which seriously affect their quality of life. Currently, pharmacological treatments for PNP have limited effectiveness and are prone to side effects, making them inadequate for long-term patient needs. Peripheral nerve stimulation (PNS) can relieve pain by precisely stimulating specific peripheral nerves, offering advantages such as minimal invasiveness, broad applicability, and personalized treatment. This article reviews the pathophysiology of PNP and application of PNS in PNP treatment, aiming to provide references for PNP treatment.

Objective:To analyze the epidemic characteristics of human brucellosis in Inner Mongolia Autonomous Region, and to provide a basis for formulating targeted intervention strategies and implementation measures.Methods:The data of brucellosis cases with onset date from 2014 to 2023 and current address in Inner Mongolia Autonomous Region were collected from the Chinese Disease Control and Prevention Information System. Descriptive epidemiological method was used to analyze the three-dimensional distribution of human brucellosis in Inner Mongolia Autonomous Region.Results:From 2014 to 2023, a total of 131 201 brucellosis cases were reported in Inner Mongolia Autonomous Region, with no death and an average annual incidence rate of 52.90/100 000. The lowest incidence was in 2016 (6 567 cases, 26.15/100 000), and the highest was in 2021 (21 910 cases, 91.14/100 000). All 12 cities (leagues) in the region had reported cases of brucellosis, with Tongliao City (27 012 cases), Chifeng City (15 286 cases), Hinggan League (14 859 cases), Hulunbuir (12 235 cases) and Ulanqab (11 972 cases) ranking among the top 5 cities (leagues) in terms of reported cases. Among the cases, 90 455 (68.94%) were males, with a incidence rate of 70.93/100 000, and 40 746 (31.06%) were females, with a incidence rate of 33.70/100 000. The age of onset is mainly 50 and less than 60 years old (37 610 cases, 28.67%). The occupational distribution was mainly farmers (102 091 cases, 77.81%), followed by herdsmen (13 209 cases, 10.07%).Conclusions:The incidence of human brucellosis in Inner Mongolia Autonomous Region is at a relatively high level, particularly showing an upward trend from 2016 to 2021. Cities such as Tongliao City, Chifeng City and Hinggan League have a relatively high incidence of brucellosis. Therefore, it is necessary to strengthen the monitoring of brucellosis in these areas, implement prevention and control measures, and closely monitor the changes in the trend of human brucellosis outbreaks. Farmers and herdsmen are the primary high-risk groups, and it is recommended to enhance health education and behavioral interventions for these key populations.

A 58-year-old female patient with breast cancer received treatment with pegylated recombinant human granulocyte colony-stimulating factor(PEG-rhG-CSF)injection after adjuvant chemotherapy.The serum creatinine level of the patient gradually increased from the normal baseline value to 199.3 μmol·L-1.The patient was diagnosed as acute kidney injury(AKI),after stopping the medication and providing symptomatic treatment,the patient's renal function gradually improved.The patient completed subsequent chemotherapy as planned without reusing PEG-rhG-CSF injection,and other medications and dosages remained unchanged.Renal function remained stable during follow-up.Naranjo's Assessment Scale was used to evaluate the association between PEG-rhG-CSF injection and AKI,the result was"probable."There are few reports of AKI occuring with PEG-rhG-CSF injection,and this case provides evidence for clinical safe medication.

A 58-year-old female patient with breast cancer received treatment with pegylated recombinant human granulocyte colony-stimulating factor(PEG-rhG-CSF)injection after adjuvant chemotherapy.The serum creatinine level of the patient gradually increased from the normal baseline value to 199.3 μmol·L-1.The patient was diagnosed as acute kidney injury(AKI),after stopping the medication and providing symptomatic treatment,the patient's renal function gradually improved.The patient completed subsequent chemotherapy as planned without reusing PEG-rhG-CSF injection,and other medications and dosages remained unchanged.Renal function remained stable during follow-up.Naranjo's Assessment Scale was used to evaluate the association between PEG-rhG-CSF injection and AKI,the result was"probable."There are few reports of AKI occuring with PEG-rhG-CSF injection,and this case provides evidence for clinical safe medication.

Objective:To explore the impact of air pollution on hospital visits for mental and behavioral disorders among residents in an industrial area in Henan Province from 2016 to 2021.Methods:Daily outpatient visits data for mental and behavioral disorders were collected from Angang General Hospital in Angang Industrial Area at Anyang City between January 2016 and December 2021. And air pollutants and meteorological data during the same period were also collected. A generalized additive model was used for time-series analysis to examine the relationship between daily average concentrations of nitrogen dioxide (NO 2), sulfur dioxide (SO 2), fine particulate matter (PM 2.5), inhalable particulate matter (PM 10), carbon monoxide (CO), and ozone (O 3) with a lag of 0 to 7 days on the number of visits for mental and behavioral disorders among residents. The single-day lag effect (lag0-lag7 d) and cumulative lag effect (lag01-lag07 d) were analyzed. The smooth cubic spline function was used to fit the exposure-response relationship, and subgroup analysis was performed according to different genders, seasons and ages. Results:A total of 26 268 hospital visits for mental and behavioral disorders were collected from the industrial area between 2016 and 2021. The daily average concentrations of SO 2, NO 2, PM 2.5, PM 10, and CO were (27.50±27.33), (43.11±18.33), (73.87±60.30), (134.01±83.81) μg/m 3, and (1.72±1.03) mg/m 3, respectively. The daily maximum 8-hour average concentration of O 3 was (82.18±53.70) μg/m 3. After controlling for long-term trends, temperature, relative humidity, day of the week effects, and holiday effects, the generalized additive model analysis showed that NO 2 had a statistically significant impact on the hospital visits for mental and behavioral disorders at lag0 d, lag2 d and lag01-lag05 d and CO had a statistically significant impact at lag0-lag3 d and lag01-lag06 d (all P<0.05). NO 2 at lag02-lag04 d and CO at lag0-lag2 d and lag01-lag04 d had statistically significant effects on the visits for neurasthenia (both P<0.05). The impacts of NO 2 at lag03-lag04 d, PM 2.5 at lag3 d and lag03-lag04 d, PM 10 at lag3 d and lag03 d, and CO at lag3 d and lag01-lag05 d on visits for generalized anxiety disorder were also statistically significant (all P<0.05). After false discovery rate (FDR) correction, it was shown that for every 10 μg/m 3 increase in NO 2 and every 0.1 mg/m 3 increase in CO, the percentage increase in visits for mental and behavioral disorders and its 95% confidence interval (95% CI) were 3.38% (0.95%-5.87%) and 0.78% (0.38%-1.17%), respectively. For every 0.1 mg/m 3 increase in CO, the visits for neurasthenia increased by 0.78% (0.27%-1.29%). For every 10 μg/m 3 increase in PM 2.5 and every 0.1 mg/m 3 increase in CO, the visits for generalized anxiety disorder increased by 1.07% (0.46%-1.68%) and 1.17% (0.37%-1.97%), respectively (adjusted P<0.05). There was a linear exposure-response relationship between NO 2 and CO and the hospital visits for mental and behavioral disorders, CO and the hospital visits for neurasthenia, and CO and PM 2.5 and the hospital visits for generalized anxiety disorder ( P<0.05 for the overall association test and P>0.05 for the non-linearity test). Stratified analysis showed that air pollutants had an impact on male patients with neurasthenia, female patients with generalized anxiety disorder, individuals aged <45 years with mental and behavioral disorders, and individuals aged ≥65 years with generalized anxiety disorder. The impact of air pollutants was greater during the cold season or winter. Conclusion:Exposure to air pollution can increase hospital visits for mental and behavioral disorders among residents in industrial areas, with a higher risk among those aged<45 years old and during the cold season.

Objective:To analyze the epidemic characteristics of human brucellosis in Inner Mongolia Autonomous Region, and to provide a basis for formulating targeted intervention strategies and implementation measures.Methods:The data of brucellosis cases with onset date from 2014 to 2023 and current address in Inner Mongolia Autonomous Region were collected from the Chinese Disease Control and Prevention Information System. Descriptive epidemiological method was used to analyze the three-dimensional distribution of human brucellosis in Inner Mongolia Autonomous Region.Results:From 2014 to 2023, a total of 131 201 brucellosis cases were reported in Inner Mongolia Autonomous Region, with no death and an average annual incidence rate of 52.90/100 000. The lowest incidence was in 2016 (6 567 cases, 26.15/100 000), and the highest was in 2021 (21 910 cases, 91.14/100 000). All 12 cities (leagues) in the region had reported cases of brucellosis, with Tongliao City (27 012 cases), Chifeng City (15 286 cases), Hinggan League (14 859 cases), Hulunbuir (12 235 cases) and Ulanqab (11 972 cases) ranking among the top 5 cities (leagues) in terms of reported cases. Among the cases, 90 455 (68.94%) were males, with a incidence rate of 70.93/100 000, and 40 746 (31.06%) were females, with a incidence rate of 33.70/100 000. The age of onset is mainly 50 and less than 60 years old (37 610 cases, 28.67%). The occupational distribution was mainly farmers (102 091 cases, 77.81%), followed by herdsmen (13 209 cases, 10.07%).Conclusions:The incidence of human brucellosis in Inner Mongolia Autonomous Region is at a relatively high level, particularly showing an upward trend from 2016 to 2021. Cities such as Tongliao City, Chifeng City and Hinggan League have a relatively high incidence of brucellosis. Therefore, it is necessary to strengthen the monitoring of brucellosis in these areas, implement prevention and control measures, and closely monitor the changes in the trend of human brucellosis outbreaks. Farmers and herdsmen are the primary high-risk groups, and it is recommended to enhance health education and behavioral interventions for these key populations.

Kidney transplantation is the best renal replacement therapy for patients with end-stage renal disease. However, it faces significant challenges due to a critical shortage of donor organs and the underutilization of expanded standard donor (ESD) kidneys.Dual kidney transplantation can increase the utilization of expanded standard donor kidneys and enlarge the donor pool, which is an effective solution to deal with kidney shortage. This review provides a systematic presentation of the current status of research on allocation and recipient selection, surgical technique, complications, postoperative efficacy and immunosuppression protocols for adult dual kidney transplantation, with the aim of providing assistance in clinical practice.

Diabetic peripheral neuropathy (DPN) is one of the common chronic complications of diabetes, presenting with neuropathic pain, sensory abnormalities, and sensory loss, and may lead to foot infections, ulcers, or amputation in severe cases. Its pathogenesis remains unclear, with challenge in early diagnosis and limited treatment efficacy. Emerging evidences suggest that DPN involves in not only the peripheral nervous system but also the central nervous system (CNS). With advances in imaging technologies, multimodal MRI has become a key tool to investigate CNS involvement in DPN. This review summarizes the structural, functional, metabolic, and perfusion-related CNS changes in DPN patients based on structural MRI, functional MRI, MR spectroscopy, and perfusion-weighted imaging, aiming to help early detection, clinical subtyping, and personalized treatment of DPN.