1.Hypoproteinemia after total hip arthroplasty:risk factors and nomogram prediction model establishment
Zewei ZHENG ; Kaijing YE ; Kuo ZHANG ; Qinghua ZHAO ; Xiutian CHEN ; Yulai JIANG ; Yanzi YI ; Qingwen ZHANG
Chinese Journal of Tissue Engineering Research 2025;29(15):3147-3152
BACKGROUND:The patient underwent multiple hypoproteinemia after total hip arthroplasty,which affected postoperative healing and rehabilitation.OBJECTIVE:To investigate and screen the risk factors for hypoproteinemia after total hip arthroplasty,and to establish a nomogram prediction model so as to provide guidance for judging whether hypoproteinemia occurs after total hip arthroplasty.METHODS:A total of 355 patients who underwent total hip arthroplasty were included,and according to whether hypoproteinemia occurred on the first day after surgery,they were divided into 238 cases in the hypoproteinemia group and 117 cases in the normal group,with a hypoproteinemia rate of 67%.Data were collected,including age,gender,diabetes mellitus,hypertension,hyperuricemia,hyperlipidemia,anesthesia method,preoperative leukocytes,preoperative erythrocytes,preoperative hemoglobin,preoperative platelets,preoperative plasma prothrombin time,preoperative activated partial prothrombin time,preoperative international normalized ratio,preoperative thrombin time,preoperative fibrinogen,preoperative erythrocyte sedimentation rate,preoperative C-reactive protein,preoperative D-dimer,preoperative mean corpuscular hemoglobin content,preoperative mean corpuscular volume,operation time,body mass index,preoperative procalcitonin,and preoperative hematocrit.SPSS 27.0 software was used for univariate analysis,followed by R language(4.3.1)to perform least absolute shrinkage and selection operator regression and 10-fold cross-validation of the observation indicators to obtain the intersection of the two risk factors.SPSS 27.0 software was used to perform multivariate binary logistic regression to obtain the final risk factors.The prediction model of hypoproteinemia after total hip arthroplasty was constructed by R language.The receiver operating characteristic curve,calibration curve,and clinical decision curve were constructed to assess the predictive model predictive ability.RESULTS AND CONCLUSION:(1)Univariate analysis,least absolute shrinkage and selection operator regression,and multivariate logistic regression were used to screen out significant differences in age(OR=1.024,P=0.023),preoperative platelets(OR=0.995,P=0.028),and preoperative erythrocyte sedimentation rate(OR=1.031,P=0.045)in judging whether hypoproteinemia would occur after surgery(P<0.05).(2)The nomogram prediction model was constructed based on the final risk factors screened by multivariate Logistic regression,and the prediction ability of the model was evaluated by constructing the receiver operating characteristic curve,and the area under the calculated receiver operating characteristic curve reached 0.835(95%CI=0.779-0.891),C-index=0.835.A threshold of 0-0.83 could bring better clinical efficacy calculated by the decision curve analysis.The model has good sensitivity and accuracy,which can better identify the risk of postoperative hypoproteinemia for medical staff and patients before total hip arthroplasty.
2.Hypoproteinemia after total hip arthroplasty:risk factors and nomogram prediction model establishment
Zewei ZHENG ; Kaijing YE ; Kuo ZHANG ; Qinghua ZHAO ; Xiutian CHEN ; Yulai JIANG ; Yanzi YI ; Qingwen ZHANG
Chinese Journal of Tissue Engineering Research 2025;29(15):3147-3152
BACKGROUND:The patient underwent multiple hypoproteinemia after total hip arthroplasty,which affected postoperative healing and rehabilitation.OBJECTIVE:To investigate and screen the risk factors for hypoproteinemia after total hip arthroplasty,and to establish a nomogram prediction model so as to provide guidance for judging whether hypoproteinemia occurs after total hip arthroplasty.METHODS:A total of 355 patients who underwent total hip arthroplasty were included,and according to whether hypoproteinemia occurred on the first day after surgery,they were divided into 238 cases in the hypoproteinemia group and 117 cases in the normal group,with a hypoproteinemia rate of 67%.Data were collected,including age,gender,diabetes mellitus,hypertension,hyperuricemia,hyperlipidemia,anesthesia method,preoperative leukocytes,preoperative erythrocytes,preoperative hemoglobin,preoperative platelets,preoperative plasma prothrombin time,preoperative activated partial prothrombin time,preoperative international normalized ratio,preoperative thrombin time,preoperative fibrinogen,preoperative erythrocyte sedimentation rate,preoperative C-reactive protein,preoperative D-dimer,preoperative mean corpuscular hemoglobin content,preoperative mean corpuscular volume,operation time,body mass index,preoperative procalcitonin,and preoperative hematocrit.SPSS 27.0 software was used for univariate analysis,followed by R language(4.3.1)to perform least absolute shrinkage and selection operator regression and 10-fold cross-validation of the observation indicators to obtain the intersection of the two risk factors.SPSS 27.0 software was used to perform multivariate binary logistic regression to obtain the final risk factors.The prediction model of hypoproteinemia after total hip arthroplasty was constructed by R language.The receiver operating characteristic curve,calibration curve,and clinical decision curve were constructed to assess the predictive model predictive ability.RESULTS AND CONCLUSION:(1)Univariate analysis,least absolute shrinkage and selection operator regression,and multivariate logistic regression were used to screen out significant differences in age(OR=1.024,P=0.023),preoperative platelets(OR=0.995,P=0.028),and preoperative erythrocyte sedimentation rate(OR=1.031,P=0.045)in judging whether hypoproteinemia would occur after surgery(P<0.05).(2)The nomogram prediction model was constructed based on the final risk factors screened by multivariate Logistic regression,and the prediction ability of the model was evaluated by constructing the receiver operating characteristic curve,and the area under the calculated receiver operating characteristic curve reached 0.835(95%CI=0.779-0.891),C-index=0.835.A threshold of 0-0.83 could bring better clinical efficacy calculated by the decision curve analysis.The model has good sensitivity and accuracy,which can better identify the risk of postoperative hypoproteinemia for medical staff and patients before total hip arthroplasty.
3.Application and development of suture-dragging therapy for anal fistula.
Chen WANG ; Yibo YAO ; Qingjun DONG ; Hongtao LIANG ; Xiutian GUO ; Yongqing CAO ; Jingen LU
Chinese Journal of Gastrointestinal Surgery 2015;18(12):1203-1206
Traditional Chinese surgical treatment "suture-dragging" therapy is based on medical thread therapy and tight seton drainage in combination of minimal invasive surgical principle. It can preserve the integrity of anal sphincter musculature involved in fistulous tract or abscess and maintain anal function. This article not only describes in detail about the operation points and mechanisms of "suture-dragging" therapy of anorectal fistula, but also reviews the application and modification of anorectal disease.
Abscess
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Drainage
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Humans
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Rectal Fistula
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Suture Techniques
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Sutures
4.Clinical research of thread-dragging through fistula method in treating patients with simple anorectal fistula
Jingen LU ; Yongqing CAO ; Chunmei HE ; Xiutian GUO ; Hongxiang HUANG ; Jin YI ; Lixin XIAO ; Yumin XU ; Min DING ; Yibin PAN ; Chen WANG
Journal of Integrative Medicine 2006;4(2):140-6
OBJECTIVE: To evaluate the efficacy and safety of thread-dragging through fistula method in treating patients with simple anorectal fistula. METHODS: In this multi-centered, prospective, and randomized controlled clinical trial, 244 patients with simple low or high anorectal fistula were randomly divided into study group (with the method of thread-dragging through fistula) and control group (with the method of incision or thread-drawing). The healing time and curative rate of anorectal fistula, and the integral calculus of clinical symptom and life quality evaluations before and after treatment were all examined. The maximal anal canal squeeze pressure was measured to compare the therapeutic safety between these two groups. The health economical benefits were also assessed to determine which therapeutic method was more economical. RESULTS: The curative rate of simple low and high anorectal fistula were of no significant differences between the study group and the control group. The healing time of simple low anorectal fistula in the study group and the control group were (22.26+/-8.67) d and (31.41+/-11.39) d respectively, while the healing time of simple high anorectal fistula in the study group and the control group were (24.73+/-8.15) d and (32.20+/-12.60) d respectively, and there revealed significant differences between these two groups. Each integral calculus of clinical symptom evaluation in the study group was not obviously different from those in the control group besides the integral calculus of anal sphincter function. The integral calculus of life quality between the study group and the control group of simple low anorectal fistula had no significant differences. The integral calculus of anal sphincter function and confidence in treatment in the study group of high anorectal fistula were better than those in the control group. The hospitalization expense of the study group was remarkably lower than that of the control group. The maximal anal canal squeeze pressure in the study group after treatment was not reduced obviously as compared with that in the same group before treatment, while it was decreased significantly in the control group after treatment as compared with those in the same group before treatment and in the study group after treatment. CONCLUSION: The method of thread-dragging through fistula in treating simple low and high anorectal fistula can shorten the course of the disease, save the hospitalization expenses, improve the life quality of the patients, and protect the anal sphincter function.
5.Role of histone acetylation in the differentiation of human gastric cancer cell induced by DADS in vivo
Shulin XIANG ; Xiaolan XIAO ; Qi SU ; Jie ZHAO ; Chen HUANG ; Na XIE ; Xiutian ZHOU ; Jianguo ZHOU
Chinese Pharmacological Bulletin 1987;0(01):-
Aim To observe effect of DADS on the differentiation of gastric adenocarcinoma cells and acetylation of human gastric cancer tumor cell transplantable histone.Methods Human gastric adenocarcinoma heterotransplantable tumor model was constructed through subcutaneously injecting MGC803 cells to nude mice.Morphologic changes of xenograft tumor cells were observed with optical microscope,the influence of DADS on xenograft tumor cells generationcycle distribution,the expression of p21~(WAF1) protein,histone H3 and and H4 acetylion were analyzed with flow cytometry and Western blot.Results There was obvious growth inhibitory effect of xenograft tumor while abdominal injection dose were 100 and 200 mg?kg~(-1)DADS;cells density and heteromorphism decreased after treated with DADS.Flow cytometry analysis revealed that treating xenograft tumor cells with increasing quantities of DADS increased the percentage of cells in the G_2/M phase.The proportion of xenograft tumor cells in the G_2/M phase after treatment with 100 mg?kg~(-1) and 200 mg?kg~(-1) DADS was 2.22 and 3.37 times of that in NS group.Western blot analysis showed H3 acetylion increase along with G_2/M arrest of xenograft tumor cells by DADS.DADS didn′t influence the expression level of H4 acetylion;the expression of p21~(WAF1) protein in xenograft tumor increased along with the increases in the concentration of DADS.Conclusion DADS cansignificantly inhibit the growth of human gastric carcinoma xenograft in BALB/C nucle mice and induce cell differentiation,which might be related with up-regulation of histone a cetylization and p21~(WAF1) protein level.

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