1.The risk prediction models for anastomotic leakage after esophagectomy: A systematic review and meta-analysis
Yushuang SU ; Yan LI ; Hong GAO ; Zaichun PU ; Juan CHEN ; Mengting LIU ; Yaxie HE ; Bin HE ; Qin YANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):230-236
Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.
2.Trends in Metabolically Unhealthy Obesity by Age, Sex, Race/Ethnicity, and Income among United States Adults, 1999 to 2018
Wen ZENG ; Weijiao ZHOU ; Junlan PU ; Juan LI ; Xiao HU ; Yuanrong YAO ; Shaomei SHANG
Diabetes & Metabolism Journal 2025;49(3):475-484
Background:
This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018.
Methods:
We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO.
Results:
The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups.
Conclusion
This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.
3.Trends in Metabolically Unhealthy Obesity by Age, Sex, Race/Ethnicity, and Income among United States Adults, 1999 to 2018
Wen ZENG ; Weijiao ZHOU ; Junlan PU ; Juan LI ; Xiao HU ; Yuanrong YAO ; Shaomei SHANG
Diabetes & Metabolism Journal 2025;49(3):475-484
Background:
This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018.
Methods:
We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO.
Results:
The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups.
Conclusion
This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.
4.Trends in Metabolically Unhealthy Obesity by Age, Sex, Race/Ethnicity, and Income among United States Adults, 1999 to 2018
Wen ZENG ; Weijiao ZHOU ; Junlan PU ; Juan LI ; Xiao HU ; Yuanrong YAO ; Shaomei SHANG
Diabetes & Metabolism Journal 2025;49(3):475-484
Background:
This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018.
Methods:
We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO.
Results:
The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups.
Conclusion
This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.
5.Trends in Metabolically Unhealthy Obesity by Age, Sex, Race/Ethnicity, and Income among United States Adults, 1999 to 2018
Wen ZENG ; Weijiao ZHOU ; Junlan PU ; Juan LI ; Xiao HU ; Yuanrong YAO ; Shaomei SHANG
Diabetes & Metabolism Journal 2025;49(3):475-484
Background:
This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018.
Methods:
We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO.
Results:
The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups.
Conclusion
This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.
6.Investigation and Analysis of HPV Positivity Among Adult Women in High-altitude Regions of Xizang: A Single-center Cross-sectional Study
Jinba YIXI ; Gaoxue WANG ; Ciren BASANG ; Zhuoga GASONG ; Zhi PU ; Yangjin CIREN ; Zhen BIAN ; Zhijuan LIU ; Juan DU
Medical Journal of Peking Union Medical College Hospital 2025;16(5):1325-1331
To investigate the detection status of human papillomavirus (HPV) among adult women in high-altitude regions of Xizang. A retrospective analysis was conducted on HPV genotyping results from outpatient, inpatient, and healthy adult female populations at Xizang Autonomous Region People's Hospital between March 2019 and July 2023. HPV positivity rates were compared across different ethnic groups and age strata, and temporal trends in HPV detection were analyzed. A total of 6498 adult women with HPV testing were included, with a mean age of (39.5±9.8) years, including 5440 Tibetan and 1058 Han women. The overall HPV positivity rate was 19.58%(1272/6498), predominantly single-type infections (14.99%), while double (3.71%) and triple-or-more infections (0.88%) were less common. Han women had a significantly higher HPV positivity rate than Tibetan women [29.30%(310/1058) The HPV positivity rate among adult women in high-altitude Xizang is relatively high, with significant differences in age-specific prevalence and dominant genotypes between Tibetan and Han women. Targeted measures, including HPV vaccination for young women and enhanced screening and treatment for both young and postmenopausal women, should be prioritized in this region.
7.Mechanism of placental polypeptide in improving ovarian function and oxidative stress in rats with premature ovarian failure
Juan JIN ; Li XIAO ; Qian PU ; Hua ZHANG ; Lei YU
China Pharmacy 2024;35(21):2609-2615
OBJECTIVE To explore the impact of placental polypeptide on the Runt-related transcription factor 3 (RUNX3)/ Notch signaling pathway in rats with cyclophosphamide-induced premature ovarian failure (POF), and its effects on ovarian function and oxidative stress. METHODS A POF rat model was induced by intraperitoneal injection of cyclophosphamide. Sixty POF rats of the model were randomly assigned to model group, low-dose (1 mg/kg) and high-dose (2 mg/kg) placental polypeptide groups, placental polypeptide plus empty vector group [placental polypeptide (2 mg/kg), empty vector (1 μg)], and placental polypeptide plus RUNX3 silencing group [placental polypeptide (2 mg/kg), RUNX3 small interfering RNA (1 μg)], with 12 rats in each group. Additionally, 12 healthy rats were selected as a control group. The intervention lasted for 4 weeks for all groups. After the final administration, the levels of sex hormones [estradiol (E2), anti-Müllerian hormone (AMH), follicle- stimulating hormone (FSH)] in rat serum and oxidative stress indicators [malondialdehyde (MDA), superoxide dismutase (SOD), catalase (CAT), reactive oxygen species (ROS)] in ovarian tissue were measured. The pathology of rat ovarian tissue and apoptosis of ovarian granulosa cells were examined; the expression of apoptosis-related proteins [caspase-3, cleaved-caspase-3, B-cell lymphoma-2 (Bcl-2), Bcl-2 associated X protein (Bax)and RUNX3/Notch signaling pathway-related proteins in rat ovarian tissue were detected. RESULTS Compared with the model group, the low and high doses of placental polypeptide groups showed an increase in the number of normal follicles and a marked decrease in the number of atretic follicles, with significant increases in the serum levels of E2 and AMH, the ovarian tissue levels of SOD and CAT, as well as the expression levels of Bcl-2, RUNX3 and Notch1 proteins, and significant decreases in the serum FSH levels, the ovarian granulosa cell apoptosis rate, and the ovarian tissue levels of MDA and ROS, as well as the expression levels of cleaved-caspase-3, caspase-3 and Bax proteins (P<0.05); the changes in the high-dose group were significantly more pronounced (P<0.05). Compared with the high-dose placental polypeptide group and the placental polypeptide plus empty vector group, the placental polypeptide plus RUNX3 silencing group showed a decrease in the number of normal follicles and a significant reversal of the above indicators (P<0.05). CONCLUSIONS Placental polypeptide may alleviate the symptoms of rats with POF by upregulating the RUNX3/Notch signaling pathway, improving sex hormone secretion, oxidative stress, ovarian granulosa cell apoptosis and ovarian function.
8.Biological and genetic characteristics of three hypervirulent Klebsiella pneumoniae strains causing liver abscess
Yuqi ZHANG ; Juan WANG ; Lei HAN ; Pu LI ; Wentao MA ; Chun ZHANG ; Yali LI ; Jing YUAN ; Jin’e LEI
Journal of Xi'an Jiaotong University(Medical Sciences) 2024;45(6):885-894
[Objective] To understand the resistance mechanisms, virulence characteristics, and pathogenicity of hypervirulent Klebsiella pneumoniae (hvKp), which causes pyogenic liver abscess (PLA), and to provide related data for clinical treatment of infection caused by this type of bacteria. [Methods] We collected three strains of Klebsiella pneumoniae isolated from the liver abscess fluid of patients with liver abscesses in various departments of The First Affiliated Hospital of Xi’an Jiaotong University. The hypervirulent phenotypes were determined by the wire test, and drug sensitivity was assessed using the VITEK 2 compact automatic microbiological analyzer. Molecular characteristics such as podocarp serotypes, multi-locus sequence typing (MLST), virulence genes, and drug resistance genes were identified through whole-genome sequencing. Additionally, a mouse infection model was established to evaluate pathogenicity. [Results] The isolates were sticky, with mucous thread pulling length >5 mm, all of which exhibited high viscosity phenotypes. Except 146007, which is a multidrug-resistant bacterium, the other two strains had higher antibiotic sensitivity. Whole genome sequencing revealed that the isolates were of high-virulence type, carrying the toxin plasmid rmpADC/rmpA2, iron uptake system, bacterial hairs, secretion system, and other virulence factors. All the three isolates tested positive for rmpA/rmpA2 combined with iucA/iutA, indicating they could be classified as hvKp. Multiple resistance genes were detected, such as β-lactamase like bla
9.Risk prediction models for pancreatic fistula after pancreaticoduodenectomy:A systematic review and a Meta-analysis
Zaichun PU ; Ping JIA ; Juan LIU ; Yushuang SU ; Li WANG ; Qin ZHANG ; Danyang GUO
Journal of Clinical Hepatology 2024;40(11):2266-2276
Objective To systematically review the risk prediction models for postoperative pancreatic fistula(POPF)after pancreaticoduodenectomy(PD),and to provide a reference for the clinical screening and application of POPF-related risk models.Methods This study was conducted according to the PRISMA guidelines,with a PROSPERO registration number of CRD42023437672.PubMed,Scopus,Embase,Web of Science,the Cochrane Library,CNKI,VIP,Wanfang Data,China Medical Journal Full-text Database,and CBM were searched for studies on establishing risk prediction models for POPF after PD published up to April 26,2024.The PROBAST tool was used to assess the quality of articles,and RevMan 5.4 and MedCalc were used to perform the Meta-analysis.Results A total of 36 studies were included,involving 20 119 in total,and the incidence rate of POPF after PD was 7.4%—47.8%.A total of 55 risk prediction models were established in the 36 articles,with an area under the receiver operating characteristic curve(AUC)of 0.690-0.952,among which 52 models had an AUC of>0.7.The quality assessment of the articles showed high risk of bias and good applicability.MedCalc was used to perform a statistical analysis of AUC values,and the results showed a pooled AUC of 0.833(95%confidence interval:0.808-0.857).The Meta-analysis showed that body mass index,amylase in drainage fluid on the first day after surgery,preoperative serum albumin,pancreatic duct diameter,pancreatic texture,fat score,tumor location,blood loss,sex,time of operation,main pancreatic duct index,and pancreatic CT value were predictive factors for POPF(all P<0.05).Conclusion The risk prediction models for POPF after PD is still in the exploratory stage.There is a lack of calibration methods and internal validation for most prediction models,and only the univariate analysis is used to for the screening of variables,which leads to the high risk of bias.In the future,it is necessary to improve the methods for model establishment,so as to develop risk prediction models with a higher prediction accuracy.
10.Exploration on the Intervention Effect and Mechanism of Guiqi Yiyuan Ointment Combined with Cisplatin on Lewis Lung Cancer Mice Based on lncRNA H19/miR-19b3p/FTH1 Axis
Chunxia XUE ; Jianqing LIANG ; Yuanyuan ZHANG ; Yinxia JIN ; Shang LI ; Pu ZHANG ; Nan YANG ; Jintian LI ; Juan LI
Chinese Journal of Information on Traditional Chinese Medicine 2024;31(8):90-96
Objective To explore the inhibitory effect of Guiqi Yiyuan Ointment combined with cisplatin on Lewis lung cancer mice and its mechanism based on the lncRNA H19/miR-19b3p/FTH1 axis.Methods Totally 60 SPF grade male C57BL/6 mice were randomly selected as blank group,and Lewis lung cancer mouse model was replicated in the remaining 50 mice.The modeled mice were randomly divided into model group,cisplatin group,and TCM low-,medium-and high-dosage combined with cisplatin group,with 10 mice in each group.The cisplatin group was given intraperitoneal injection of cisplatin 5 mg/kg,while the TCM low-,medium-and high-dosage combined with cisplatin group were given Guiqi Yiyuan Ointment 1.75,3.5,7.0 g/kg by gavage combined with intraperitoneal injection of cisplatin 5 mg/kg,the blank group and model group were given equal volume of normal saline by gavage for 14 consecutive days.The general condition of mice was observed,the tumor mass of mice was measured,and the tumor inhibition rate,spleen index,and thymus index were calculated,HE staining was used to observe the pathological changes of tumor tissue,and the contents of malondialdehyde(MDA),reduced glutathione(GSH),hydrogen peroxide(H2O2),and ferrous ions(Fe2+)were detected in the tumor tissue,immunohistochemistry and Western blot were used to detect the expression of nuclear factor E2 related factor 2(Nrf2),glutathione peroxidase 4(GPX4),ferritin heavy chain 1(FTH1)and solute carrier family 7 member 11(SLC7A11)protein in tumor tissue,real time fluorescence quantitative PCR was used to detect the expression of lncRNA H19 and miR-19b3p mRNA in tumor tissue.Results Compared with the blank group,the body mass,spleen index and thymus index of mice in the model group were decreased(P<0.05).Compared with the model group,the mental state and tumor histopathological morphology of mice in each administration group were improved to different degrees,the tumor mass of mice was reduced(P<0.05),the spleen index and the thymus index of mice increased(P<0.05),tumor cell lysis,rupture,and decrease in quantity,the contents of MDA,H2O2,Fe2+in tumor tissue increased(P<0.05),while GSH content decreased(P<0.05),the expression of Nrf2,GPX4,FTH1,SLC7A11 protein in tumor tissue decreased(P<0.05),the lncRNA H19 mRNA expression decreased(P<0.05),miR-19b3p mRNA expression increased(P<0.05).Compared with the cisplatin group,the tumor mass of mice in TCM high-dosage combined with cisplatin group reduced(P<0.05),the body mass,spleen index and thymus index increased(P<0.05),the contents of MDA,H2O2,Fe2+in tumor tissue of mice increased(P<0.05),the content of GSH decreased(P<0.05),the expression of Nrf2,FTH1,SLC7A11,GPX4 protein expression decreased(P<0.05),lncRNA H19 mRNA expression decreased(P<0.05),miR-19b3p mRNA expression increased(P<0.05).Conclusion Guiqi Yiyuan Ointment combined with cisplatin can significantly inhibit the tumor of Lewis lung cancer mice,and its mechanism may be related to regulating the expression of ferroptosis molecules related to the lncRNA H19/miR-19b3p/FTH1 axis.

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