1.Risk factors of postoperative mortality of femoral neck fractures in elderly patients and construction of a nomogram predictive model
Zhipeng LI ; Dawei HUAN ; Zhaofeng YUAN ; Yue QIU ; Chao ZHANG ; Tianwei XIA ; Jirong SHEN
Chinese Journal of Tissue Engineering Research 2024;28(21):3361-3366
BACKGROUND:With a gradually aging population,improving the ability to screen for the risk of death after arthroplasty and implementing timely personalized intervention programs for the increasing number of elderly patients with femoral neck fractures is key to improving the postoperative status of patients and prolonging survival expectations. OBJECTIVE:To investigate the risk factors for postoperative mortality in elderly patients with femoral neck fractures and to construct a nomogram predictive model to predict their mortality risk. METHODS:The study was conducted on 155 elderly patients(≥65 years old)who underwent arthroplasty for femoral neck fracture from January 2016 to January 2021,and 147 patients who met the inclusion criteria were analyzed to collect clinical data that may affect the patients'postoperative mortality.Single-factor and multi-factor Cox regression analyses were successively used to screen independent risk factors associated with postoperative mortality.The column line graph model was constructed and validated using Rstudio software. RESULTS AND CONCLUSION:(1)Age,frailty(age-adjusted Charlson comorbidities score),preoperative activity status,osteoporosis,and postoperative serum albumin level were five independent risk factors for postoperative mortality in elderly patients with femoral neck fractures(P<0.05).(2)The nomogram predictive model was constructed based on the results of multifactorial analysis,with a consistency index of 0.819(95%CI:0.771-0.868).Receiver operating characteristic curve analysis showed that the area under curve for 1-year and 3-year survival prediction was 0.8543 and 0.7263,respectively,indicating that the nomogram predictive model has good discriminatory and predictive power;calibration curve and decision curve analysis also showed good model discriminative power and clinical utility value.(3)The constructed nomogram predictive model has good diagnostic efficacy and accuracy,and can effectively assess the risk of postoperative death of patients.
2.Mid-and long-term state after total hip arthroplasty versus hemiarthroplasty for femoral neck fractures in the elderly:evaluation using propensity score matching method
Zhipeng LI ; Dawei HUAN ; Zhaofeng YUAN ; Kai DING ; Yue QIU ; Tianwei XIA ; Jirong SHEN
Chinese Journal of Tissue Engineering Research 2024;28(24):3839-3844
BACKGROUND:Arthroplasty is the primary treatment for displaced femoral neck fractures in the elderly,and the choice of total hip arthroplasty versus hemiarthroplasty is currently the subject of considerable debate. OBJECTIVE:To compare the mid-and long-term survival status of total hip arthroplasty versus hemiarthroplasty under a direct anterior approach for displaced femoral neck fractures in the elderly based on the propensity score matching method. METHODS:One hundred and forty-seven elderly patients(≥65 years of age)with displaced femoral neck fractures were admitted from January 2016 to January 2021,of whom 88 had total hip arthroplasty(total hip arthroplasty group)and 59 had artificial femoral head replacement(hemiarthroplasty group).For the patients'preoperative comorbidities,the age-corrected Charlson Comorbidity Scale was used to quantify the scores and calculate patient frailty.The propensity score matching method was used to match the two groups 1:1 and to compare the operation time,bleeding,postoperative hospitalization time,hospitalization cost,nutritional index,postoperative complications,and mortality between the two groups after matching.Postoperative survival time was determined by Kaplan-Meier Survival analysis. RESULTS AND CONCLUSION:(1)After propensity score matching,a total of 42 matched pairs were successful in both groups,and the preoperative data of patients in both groups were balanced and comparable after matching(P>0.05).(2)Compared with the hemiarthroplasty group,operation time(79.71 minutes vs.59.07 minutes,P<0.001),bleeding volume(839.64 mL vs.597.83 mL,P=0.001),and hospitalization cost(56 508.15 yuan vs.41 702.85 yuan,P<0.001)were significantly higher in the total hip arthroplasty group.However,the mortality rate was lower in the total hip arthroplasty group than in the hemiarthroplasty group(36%vs.57%,HR=0.44,95%CI:0.23-0.87,P=0.018),and the mean survival time was longer in the total hip arthroplasty group than in the hemiarthroplasty group(59.4 months vs.43.7 months,P=0.024).(3)There were no statistically significant differences in postoperative hospitalization time,preoperative and postoperative nutritional indicators,and overall postoperative complication rate between the two groups(P>0.05).However,in terms of postoperative pain,the incidence of pain was significantly higher in the hemiarthroplasty group than that in the total hip arthroplasty group(24%vs.7%,P=0.035).(4)Overall,total hip arthroplasty has a better prognosis for survival,while hemiarthroplasty is more appropriate for patients with poor physical fitness.At the same time,postoperative pain may largely affect the quality and survival time of patients after hip arthroplasty.
3.Evaluation and ranking for scientific, transparent and applicable of Chinese Geriatrics guidelines and consensus
Daiping LI ; Qunfang DING ; Li CAO ; Lisha HOU ; Xuchao PENG ; Birong DONG ; Jirong YUE
Chinese Journal of Geriatrics 2024;43(9):1137-1142
Objective:The study aimed to assess the scientific rigor, transparency, and practicality of Chinese geriatric medicine guidelines and consensus published in academic journals.Methods:A systematic search was conducted across 8 major Chinese and English databases to identify guidelines and consensus documents from Chinese scholars in 2022.Results:The selected documents were evaluated using the STAR rating tool, resulting in the inclusion of 2 guidelines and 19 expert consensuses.The total scores ranged from 9.0 to 50.6 points, with an average score of 29.6±13.1 points.The highest score rate in the'Consensus Methods’category of expert consensuses was 47.4%, while the lowest score rate in the'Registration’category was 0.For guidelines, the highest score rate in the'Consensus Methods’category was 42.9%, while the lowest score rates were observed in the'Registration’, 'Plan’, and'Others’categories at 0.Conclusions:The overall quality of geriatric medicine guidelines and consensus in China requires enhancement.There is a need to improve training in guideline consensus development, involve methodologists, elevate the standards for journal publication, and strive to enhance the scientific rigor, transparency, and practicality of guidelines and consensus documents.
4.Construction and application of integrated management system for open fund projects in a research center
Zhongli YANG ; Daiping LI ; Jirong YUE ; Birong DONG
Chinese Journal of Hospital Administration 2024;40(5):367-373
Open fund projects play an important role in strengthening discipline construction and enhancing research capabilities. The National Clinical Research Center for Geriatrics of West China Hospital, Sichuan University (hereinafter referred to as the Center) initiated the establishment of open fund projects in 2018. However, due to their strong disciplinary and autonomous nature, as well as the presence of uncertainty, these projects posed new challenges to project management. Therefore, based on the theory of project integration management, the Center has established an integrated management system for open fund projects. This system was achieved by identifying the construction objectives of open fund projects, defining their scope of application, and integrating the four essential elements of project management: execution, processes, control, and support. It ensured standardized execution through organizational and institutional measures, optimized management processes, implemented control through the development of milestone lists, risk registration lists, superior funding lists, and non-performing lists, and integrated technology and platforms as support. The system was implemented since 2020, realizing comprehensive and holistic management of open fund projects across all stages and elements, thereby effectively enhancing management efficiency and quality. As of December 2023, 112 open fund projects have been approved, with a total funding of 31.943 million yuan. These projects have yielded a series of achievements in cohort study and platform construction, academic output, and have demonstrated remarkable effectiveness in projects and talents cultivation. The construction and application of this system can provide reference for medical institutions in managing open fund projects.
5.Machine and deep learning-based clinical characteristics and laboratory markers for the prediction of sarcopenia.
He ZHANG ; Mengting YIN ; Qianhui LIU ; Fei DING ; Lisha HOU ; Yiping DENG ; Tao CUI ; Yixian HAN ; Weiguang PANG ; Wenbin YE ; Jirong YUE ; Yong HE
Chinese Medical Journal 2023;136(8):967-973
BACKGROUND:
Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts.
METHODS:
We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W&D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models.
RESULTS:
The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W&D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W&D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W&D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749).
CONCLUSIONS:
The W&D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population.
TRIAL REGISTRATION
Chictr.org, ChiCTR 1800018895.
Humans
;
Aged
;
Sarcopenia/diagnosis*
;
Deep Learning
;
Aging
;
Algorithms
;
Biomarkers
6.Research progress on the correlation between sarcopenia and chronic pain
Taiping LIN ; Tingting JIANG ; Jirong YUE
Chinese Journal of Geriatrics 2022;41(4):379-382
Sarcopenia is a geriatric syndrome associated with aging, accompaning with decreased skeletal muscle mass and muscle hypofunction, which will contribute to many adverse outcomes and seriously threaten the health status of the elderly.There are many studies concerning its risk factors and adverse outcomes of sarcopenia, but the correlation between sarcopenia and chronic pain is not fully clarified.This article will review the association between sarcopenia and chronic pain so as to provide a theoretical reference for future research on the risk factors and early prevention of sarcopenia.
7.Activity of curcumin against human cytomegalovirus infection in vitro.
Xiang DING ; Jirong YUE ; Birong DONG ; Leng SEAN X
Journal of Biomedical Engineering 2022;39(6):1158-1164
This study aimed to investigate the effect of curcumin (Cur) against human cytomegalovirus (HCMV) in vitro. Human embryonic lung fibroblasts were cultured in vitro. The tetrazolium salt (MTS) method was used to detect the effects of Cur on cell viability. The cells were divided into control group, HCMV group, HCMV + (PFA) group and HCMV + Cur group in this study. The cytopathic effect (CPE) of each group was observed by plaque test, then the copy number of HCMV DNA in each group was detected by quantitative polymerase chain reaction (qPCR), and the expression of HCMV proteins in different sequence was detected by Western blot. The results showed that when the concentration of Cur was not higher than 15 μmol/L, there was no significant change in cell growth and viability in the Cur group compared with the control group (P>0.05). After the cells were infected by HCMV for 5 d, the cells began to show CPE, and the number of plaques increased with time. Pretreatment with Cur significantly reduced CPE in a dose-dependent manner. After the cells were infected by HCMV, the DNA copy number and protein expression gradually increased in a time-dependent manner. Pretreatment with Cur significantly inhibited HCMV DNA copies and downregulate HCMV protein expression levels in a concentration-dependent manner, and the difference was statistically significant (P<0.05). In conclusion, Cur may exert anti-HCMV activity by inhibiting the replication of HCMV DNA and down-regulating the expression levels of different sequence proteins of HCMV. This study provides a new experimental basis for the development of anti-HCMV infectious drugs.
Humans
;
Curcumin/therapeutic use*
;
Cytomegalovirus/genetics*
;
Cytomegalovirus Infections/drug therapy*
;
Plaque, Atherosclerotic
8.Research of relationship between frailty and gut microbiota on middle-aged and the aged patients with diabetes.
Xuchao PENG ; Yanli ZHAO ; Taiping LIN ; Xiaoyu SHU ; Lisha HOU ; Langli GAO ; Hui WANG ; Ning GE ; Jirong YUE
Journal of Biomedical Engineering 2021;38(6):1126-1133
Gut microbiota plays an important role in development of diabetes with frailty. Therefore, it is of great significance to study the structural and functional characteristics of gut microbiota in Chinese with frailty. Totally 30 middle-aged and the aged participants in communities with diabetes were enrolled in this study, and their feces were collected. At the same time, we developed a metagenome analysis to explore the different of the structural and functional characteristics between diabetes with frailty and diabetes without frailty. The results showed the alpha diversity of intestinal microbiota in diabetes with frailty was lower.
Aged
;
Diabetes Mellitus
;
Epstein-Barr Virus Infections
;
Frailty
;
Gastrointestinal Microbiome
;
Herpesvirus 4, Human
;
Humans
;
Middle Aged
9.Present research situation and prospect for delirium recognition based on electronic medical record.
Yanli ZHAO ; Ling CHEN ; Jirong YUE
Journal of Biomedical Engineering 2020;37(1):185-188
Delirium is a common complication in elderly inpatients which could result in cognitive impairment, and increase the risk of disability, fall and mortality. Moreover, it could cause heavy social burden. Even with multiple bedside screening scales to detect delirium, the rate of missed diagnosis is still high. Maybe it is associated with the acute fluctuation and nocturnal onset of delirium. With the development of the intelligence and automation of the electronic medical record (EMR), previous studies have explored the use of EMR to identify delirium patients, and this method provides help for delirium diagnosis and prevention. In this paper, we reviewed and summarized the current situation of research on delirium recognition by EMR, and put forward the development prospect in this method in order to provide basis and lay a foundation for intelligent diagnosis of delirium.
10.The validity and reliability of the Chinese version of 3D-CAM for the detection of delirium in the elderly
Langli GAO ; Dongmei XIE ; Birong DONG ; Jirong YUE
Chinese Journal of Geriatrics 2018;37(10):1073-1077
Objective To translate the 3-minute diagnostic confusion assessment method(3D-CAM)into Chinese,to revise it,and to test its reliability and validity in elderly patients.Methods We translated and culturally adapted 3D-CAM into Chinese.The sample was formed by 230 elderly patients over 65 years of age.We tested inter-assessors reliability and criterion validity (diagnostic validity)and then computed the sensitivity,specificity,positive predictive value,and negative predictive value of the Chinese version of 3D-CAM.Results Correlation analyses between each item and its total score showed that the correlation coefficients ranged between 0.290 and 0.724,all reaching statistical significance(P<0.01).Inter-assessor reliability in a sample size of 30 patients resulted in a kappa value of 0.78 (P < 0.001).Compared with the gold standard,the diagnostic and statistical manual of mental disorders(DSM-5)by American Psychiatric Association(APA),the sensitivity of the Chinese version of 3D-CAM was 94.73%,the specificity was 97.92%,the positive predictive value was 90.00%,and the negative predictive value was 98.95%.Conclusions The Chinese version of 3D-CAM has achieved satisfactory reliability and validity through pilot runs in surgery and internal medicine inpatients,proved to be easy and convenient to administer,and can be used as an assessment tool for delirium in elderly surgery and internal medicine patients.

Result Analysis
Print
Save
E-mail