1.Prognostic factors for diabetic foot ulcer
Chuanbo LIU ; Yao HUANG ; Junna YE ; Pengwen NI ; Shuliang LU
Chinese Journal of Trauma 2014;30(4):291-297
Objective To identify the factors related to prognosis of diabetic foot ulcer (DFU).Methods A total of 186 patients with type Ⅱ DFU from a single diabetic foot center was included in this prospective study.Follow-up of the final outcome (healing,major amputation or death) was made in 6 months.Influence of patient demographics and clinical data on outcome was detected using multivariate Logistic regression analysis.Results Follow-up was performed in 172 patients,of whom 147 were cured (55 cases cured after minor amputations),3 underwent major amputations,6 died,and 16 were not yet cured at the final follow-up.In multivariate Logistic regression analysis,the outcome was independently correlated with ischemia (P <0.01),infection (P < 0.05),ulcer number (P < 0.01) and peripheral neuropathy (P < 0.05) ; the risk of poor outcome increased with ischemia [odds ratio (OR) =10.8],infection (OR =211.4),ulcer number (OR =39.5),and peripheral neuropathy (OR =181.1).Conclusion Prognosis of DFU is associated with ischemia,infection,ulcer number,and peripheral neuropathy.
2. Perspective on computer aided drug discovery for anti-SARS-CoV-2
Chinese Journal of Medical Science Research Management 2020;33(0):E003-E003
Objective:
To explore theresearch progress of the computer aided drug discovery for SARS-CoV-2 drugs.
Methods:
Comprehensively searching internetresour-ces including news report,research papers in scientific journals and academic preprint websites.
Results:
Since the outbreak of COVID-19, researchers in China and all over the world rapidly start to search drugs for anti-SARS-CoV-2and some progresses were made. This paper reviewed the progress of computer aided discovery of SARS-CoV-2 drugs.
Conclusions
Both docking and bioinformatics based methods had achievements and a number of candidate drugs have been identified, but more novel targets should be considered in the future.
3.Anti-fatigue effect of arginyl fructosyl glucose from red ginseng in mice
Baoliang HUANG ; Chuanbo DING ; Jiaqi WANG ; Yinan ZHENG ; Wencong LIU ; Jing ZHANG ; Xiaohua XU
Journal of Jilin University(Medicine Edition) 2017;43(5):897-902
Objective:To investigate the anti-fatigue phenomenon induced by forced swimming in the mice,and to explore the anti-fatigue effect of argininyl fructoyl glucose (AFG) from red ginseng in the mice and its mechanism.Methods:The AFG was extracted from red ginseng.The ICR mice were divided into blank control group,low dose of AFG group (100 mg · kg-1),middle dose of AFG group (200 mg · kg-1) and high dose of AFG group (400 mg · kg-1) (n=20).The mice mere given a forced swimming test after continuous gavage for 28 d.The weights,organ indexes,time of forced swimming,contents of lactic acid (LD),blood urea nitrogen (BUN),hepatic glycogen (Gly) and expressing levels of PGC-1α in gastrocnemius of the mice in various groups were detected.Results:Compared with blank control group,the weights and organ indexes of the mice in low,middle and high doses of AFG groups had no significant differences (P> 0.05).Compared with blank control group,the time of forced swimming,contents of Gly and expressing levels of PGC-1α of the mice in low,middle and high doses of AFG groups were significantly increased (P<0.05 or P<0.01) in a dose-dependent manner.Compared with blank control group,The contents of LD and BUN in serum of the mice in low,middle and high doses of AFG groups were significantly decreased (P<0.01).Conclusion:AFG has anti-fatigue effect in mice,and its mechanism may be related to energy metabolism.
4.Nomogram prediction model construction and verification for pediatric acute perforation appendicitis
Wenlong TANG ; Chengliang WAN ; Bo HAI ; Bilin XIONG ; Chenjun ZHENG ; Chuanbo ZHANG ; Chunfeng HUANG ; Qiang BAI
Chongqing Medicine 2024;53(22):3463-3468
Objective To investigate the risk factors for pediatric acute perforation appendicitis,and to construct a nomogram predictive model and conduct the verification.Methods A total of 426 children patients with appendectomy in this hospital from June 30,2020 to June 30,2022 were selected as the study subjects 340 children with acute appendicitis admitted to the hospital from 30 June 2020 to 28 February 2022 were the training set and 86 children patients with appendicitis hospitalized in this hospital from March 1,2022 to June 30,2022 conducted the external validation(verification set).The univariate and multivariate logistic regression models were employed to analyze the independent risk factors of pediatric acute perforation appendicitis.The nomograms predictive model was constructed.The receiver operating characteristic(ROC)curve and calibra-tion curve were used to evaluate the predictive efficiency of the model.The decision curve analysis(DCA)was used to evaluate the application value of the model.Results Of the 426 children,198 were perforated and 228 were not perforated.The univariate and multivariate logistic regression analyses revealed that elevated C-reac-tive protein(CRP),presence of stercorolith in appendiceal cavity,time of onset to visiting hospital ≥2 d and body temperature ≥37.3 ℃ were the independent risk factors for pediatric acute perforation appendicitis(P<0.05).The Hosmer-Lemeshow test demonstrated that the nomogram predictive model had good fitting(P=0.869),and the area under the curve(AUC)for the training and validation sets were 0.808 and 0.860 respectively,showing the good predictive ability of the model.The calibration curve closely approach the ideal diagonal.The model showed good discrimination,consistency and accuracy.The DC A revealed that the curve was far away from oblique and horizontal lines,and the model had good clinical practicability.Conclusion The constructed nomogram model of pediatric acute perforation appendicitis has good predictive ability and may help clinic to identify as early as possible.