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.

Objective:To investigate the effect of CT-derived fractional flow reserve (CT-FFR) measurement sites on the values and the diagnostic performance, and to determine the optimal measurement site for CT-FFR using invasive FFR as the reference standard.Methods:This study was part of the CT-FFR CHINA clinical trial. Patients with suspected coronary artery disease who were scheduled for invasive coronary angiography (ICA) were prospectively recruited from five clinical centers across the country from November 2018 to March 2020. Each enrolled patient underwent coronary CT angiography (CCTA), CT-FFR, ICA, and invasive pressure wire-based FFR assessments sequentially within one week. Four groups of CT-FFR values were obtained on each enrolled target vessels according to different CT-FFR measurement locations: 1, 2, 3 cm distal to the target lesion, and terminal vessel groups. Spearman and Bland-Altman analyses were used to explore the correlation and consistency of CT-FFR values and FFR values at different measurement sites. The measurement deviation of CT-FFR was also compared. Diagnostic accuracy and performance of CT-FFR, including sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUC), in discriminating myocardial ischemia were analyzed across all measurement site groups on a per-vessel level, using FFR as the reference standard.Results:A total of 289 patients with 345 target lesion vessels were included. According to CCTA, there were 51 target vessels (14.8%) with<50% stenosis, 106 vessels (30.7%) with 50%-69% stenosis, and 188 vessels (54.5%) with stenosis≥70%. At per-vessel level, CT-FFR and FFR values at each measurement position group were highly positively correlated: 1 cm distal to target lesion group, r=0.734 ( P<0.001); 2 cm distal to target lesion group, r=0.732 ( P<0.001); 3 cm distal to target lesion group, r=0.737 ( P<0.001); terminal vessel group was 0.719 ( P<0.001). At per-vessel level, CT-FFR and FFR values of all measurement sites were in good agreement (Bland-Altman analysis results): 1 cm distal to target lesion group, 0.014 (95% LoA 0.002-0.026); 2 cm distal to target lesion group, 0.026 (95% LoA 0.015-0.038); 3 cm distal to target lesion group, 0.040 (95% LoA 0.039-0.051); terminal vessel group, 0.075 (95% LoA 0.064-0.087). And at per-vessel level, the accuracy of diagnosing myocardial ischemia with CT-FFR at 1 cm was highest [84.6% (95% CI 80.4%-88.3%)], and the lowest accuracy in the terminal vessel group [67.0% (95% CI 61.7%-72.0%)]. However, there was no significant difference in the diagnostic accuracy of CT-FFR at 1 cm, 2 cm [80.6% (95% CI 76.1%-84.6%)] and 3 cm [77.5% (95% CI 72.6%-81.7%)]. AUC of CT-FFR at 1 cm distal to the lesion were both highest for global level and moderately stenosis (50%-69%) lesions [0.85 (95% CI 0.81-0.89), 0.84 (95% CI 0.77-0.90)]. And the differences were statistically significant among the four measurement location groups (all P<0.05). Conclusions:The deviation of CT-FFR increases with measurement site distance distal to target lesions. One centimeter distal to the target lesion is the optimal measurement site, and the CT-FFR value here shows the highest diagnostic performance for myocardial ischemic lesions, especially for moderate stenosis.

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.

The term"heat stroke"originates from the integration of modern traditional Chinese and Western medicine.In clinical practice,the complementary advantages of the two medical systems can significantly enhance the clinical diagnosis and treatment level of heat stroke.Through comprehensively analyzes the traditional Chinese medicine(TCM)nomenclature for heat stroke,proposing that heat stroke is a type of sunstroke characterized by intense and pure yang nature,specifically referring to symptoms caused directly or indirectly by hot weather.It can be referenced under the categories of Zhongye,Shuwen,Yinshu/Yangshu,Shujue,and Shufeng for treatment.The article reviews the TCM diagnostic and therapeutic thinking for heat stroke,summarizing its etiology and pathogenesis,including summerheat directly entering the Yangming,heat entering the heart and nutrient-blood aspects,evil combined with water(post-emergency),dual injury of qi and fluid(post-mild recovery),and phlegm-stasis obstructing collaterals(post-severe recovery).Based on years of clinical experience and combining the different clinical manifestations of heat stroke with TCM's four diagnostic methods,the article proposes a treatment plan that integrates Chinese and Western medicine,combining disease differentiation with syndrome differentiation.The main syndromes summarized include high fever with spasms(Yangming heat excess syndrome),diarrhea(Yangming fu syndrome-intestinal sweating),high fever with coma(heat entering the heart-nutrient syndrome),high fever with convulsions(extreme heat generating wind syndrome),heat stroke-induced coagulopathy(heat entering the blood aspect syndrome),edema after fluid resuscitation(Taiyang water retention syndrome),recovery phase(dual injury of qi and fluid syndrome),and sequelae(phlegm-stasis obstructing collaterals syndrome).For treatment,Baihu Jia Renshen decotion combined with Zengye Chengqi decotion is used for nourishing yin and increasing fluids,relaxing tendons,and stopping spasms for Yangming heat excess syndrome;Baihu decotion combined with Zengye decotion for clearing summerheat and nourishing yin for Yangming fu syndrome-intestinal sweating;Qingying decotion for clearing the nutrient aspect and cooling blood,penetrating heat,and nourishing yin for heat entering the heart-nutrient syndrome;Lingjiao Gouteng decotion for clearing heat and cooling the liver,extinguishing wind,and calming spasms for extreme heat generating wind syndrome;Wuling powder for draining and eliminating water retention for Taiyang water retention syndrome;Wang's Qing Shu Yiqi decotion for clearing summerheat and reducing fever,benefiting qi,and generating fluids for dual injury of qi and fluid syndrome;and Sanjia powder for clearing residual heat,resolving phlegm,and removing stasis from collaterals for phlegm-stasis obstructing collaterals syndrome.Starting from TCM theory and linking it with practice,the article combines Western disease differentiation with TCM syndrome differentiation,aiming to provide new ideas for the clinical treatment of heat stroke.

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.

Objective:To establish a predictive model of neoadjuvant chemotherapy for human epidermal growth factor receptor 2 (HER2) positive breast cancer based on magnetic resonance imaging (MRI) parameters and multimodal ultrasound.Methods:The medical records of 279 patients with HER2 positive breast cancer admitted to Linyi People’s Hospital, Tai’an Central Hospital Affiliated to Qingdao University and Shandong First Medical University affiliated Provincial Hospital from Mar. 2021 to Nov. 2023 were retrospectively analyzed, and randomly divided into a training set ( n=223) and a validation set ( n=56) according to the 8∶2 law. All patients received neoadjuvant chemotherapy combined with targeted therapy and were divided into non-pathologic complete response (NpCR) and pathologic complete response (pCR) groups according to chemotherapy effect. By comparing MRI parameters and multimodal ultrasound parameters of the two groups, and the pCR risk model after neoadjuvant chemotherapy for HER2 positive breast cancer patients was constructed and verified. Results:After 3 cycles of chemotherapy, the incidence of pCR in 223 patients in the training set was 42.15%. Among 56 patients in the validation set, the incidence of pCR was 42.86%. The apparent diffusion coefficient (ADC) of pCR group was higher than NpCR group ( P<0.05). The peak systolic flow velocity (PSV), resistance index (RI), maximum radial change rate, area under the curve (AUC) and peak intensity (PI) in pCR group were higher than NpCR group ( P<0.05), and the ultrasound elastic score in pCR group was lower than NpCR group ( P<0.05). ΔADC ( OR=4.141, 95% CI: 1.820-9.421), maximum diameter change rate ( OR=5.212, 95% CI: 2.291-11.857), PI ( OR=4.802, 95% CI: 2.111-10.923) and ultrasonic elasticity score ( OR=6.629, 95% CI: 1.595-8.256) were the influencing factors of pCR after neoadjuvant chemotherapy for HER2 positive breast cancer ( P<0.05). The sensitivity and specificity of pCR predicted by the training set model after neoadjuvant chemotherapy for HER2 positive breast cancer were 90.43% (95% CI: 82.15%-95.26%), 91.47% (95% CI: 84.91%-95.45%), and the AUC was 0.904 (95% CI: 0.834-0.968). Validation set model predicted the pCR sensitivity after neoadjuvant chemotherapy for HER2 positive breast cancer was 87.50% (95% CI: 66.54%-96.71), specificity was 90.63% (95% CI: 73.83%-97.55%), and AUC was 0.897 (95% CI: 0.821-0.954) . Conclusion:The histogram model based on ΔADC, maximum radial rate of lesion change, PI and ultrasonic elasticity score can be used to evaluate the risk of pCR after neoadjuvant chemotherapy for HER2 positive breast cancer.

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 establish a predictive model of neoadjuvant chemotherapy for human epidermal growth factor receptor 2 (HER2) positive breast cancer based on magnetic resonance imaging (MRI) parameters and multimodal ultrasound.Methods:The medical records of 279 patients with HER2 positive breast cancer admitted to Linyi People’s Hospital, Tai’an Central Hospital Affiliated to Qingdao University and Shandong First Medical University affiliated Provincial Hospital from Mar. 2021 to Nov. 2023 were retrospectively analyzed, and randomly divided into a training set ( n=223) and a validation set ( n=56) according to the 8∶2 law. All patients received neoadjuvant chemotherapy combined with targeted therapy and were divided into non-pathologic complete response (NpCR) and pathologic complete response (pCR) groups according to chemotherapy effect. By comparing MRI parameters and multimodal ultrasound parameters of the two groups, and the pCR risk model after neoadjuvant chemotherapy for HER2 positive breast cancer patients was constructed and verified. Results:After 3 cycles of chemotherapy, the incidence of pCR in 223 patients in the training set was 42.15%. Among 56 patients in the validation set, the incidence of pCR was 42.86%. The apparent diffusion coefficient (ADC) of pCR group was higher than NpCR group ( P<0.05). The peak systolic flow velocity (PSV), resistance index (RI), maximum radial change rate, area under the curve (AUC) and peak intensity (PI) in pCR group were higher than NpCR group ( P<0.05), and the ultrasound elastic score in pCR group was lower than NpCR group ( P<0.05). ΔADC ( OR=4.141, 95% CI: 1.820-9.421), maximum diameter change rate ( OR=5.212, 95% CI: 2.291-11.857), PI ( OR=4.802, 95% CI: 2.111-10.923) and ultrasonic elasticity score ( OR=6.629, 95% CI: 1.595-8.256) were the influencing factors of pCR after neoadjuvant chemotherapy for HER2 positive breast cancer ( P<0.05). The sensitivity and specificity of pCR predicted by the training set model after neoadjuvant chemotherapy for HER2 positive breast cancer were 90.43% (95% CI: 82.15%-95.26%), 91.47% (95% CI: 84.91%-95.45%), and the AUC was 0.904 (95% CI: 0.834-0.968). Validation set model predicted the pCR sensitivity after neoadjuvant chemotherapy for HER2 positive breast cancer was 87.50% (95% CI: 66.54%-96.71), specificity was 90.63% (95% CI: 73.83%-97.55%), and AUC was 0.897 (95% CI: 0.821-0.954) . Conclusion:The histogram model based on ΔADC, maximum radial rate of lesion change, PI and ultrasonic elasticity score can be used to evaluate the risk of pCR after neoadjuvant chemotherapy for HER2 positive breast cancer.

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.