1.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
Background:
and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking.
Methods:
This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance.
Results:
Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal.
Conclusions
The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.
2.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
Background:
and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking.
Methods:
This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance.
Results:
Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal.
Conclusions
The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.
3.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
Background:
and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking.
Methods:
This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance.
Results:
Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal.
Conclusions
The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.
4.Brain white matter variation in patients with obstructive sleep apnea-hypopnea syndrome with diffusional kurtosis imaging
Yaoyao ZHAI ; Xiaoxia LIU ; Chan MENG ; Shuhua LI ; Dahai WU
Chinese Archives of Otolaryngology-Head and Neck Surgery 2024;31(1):49-53
OBJECTIVE To explore the changes of brain white matter of the patients with obstructive sleep apnea-hypopnea syndrome(OSAHS)with magnetic resonance diffusional kurtosis imaing(DKI).METHODS There were 38 patients with OSAHS examined by polysomnogram(PSG)from November 2017 to June 2021,and 32 non-OSAHS controls matched in gender and age who were included in this study.All the subjects were scanned by DKI.The different encephalic regions through comparing kurtosis fractional anisotropy(KFA)values of all encephalic regions between the two groups were found,and the relationship between the KFA values of the different encephalic regions in OSAHS patients and the apnea-hypopnea index(AHI),lowest saturation oxygen(LSaO2)and the percent of the total record time spent below 90%oxygen saturation(TS90%)in PSG were analyzed.RESULTS The KFA values of white matter fiber tracts in corpus callosum,bilateral corona radiata,cingulate gyrus,right superior cerebellar peduncle and inferior cerebellar peduncle of OSAHS group were obviously lower than control group(P<0.05).After controlling for age and body mass index(BMI),the partial correlation between AHI and the KFA values of corpus callosum,left posterior corona radiata,right anterior corona radiata,cingulate gyrus in OSAHS group were also negative(r=-0.344,-0.380,-0.406,-0.53,P<0.05).The partial correlation between LSaO2 and the KFA values of corpus callosum,left posterior corona radiata,right anterior corona radiata,cingulate gyrus,right superior cerebellar peduncle in OSAHS group were also positive(r=0.366,0.406,0.446,0.404,0.342,P<0.05).The partial correlation between TS90%and the KFA values of corpus callosum,left posterior corona radiata,right anterior corona radiata,cingulate gyrus,right superior cerebellar peduncle and inferior cerebellar peduncle in OSAHS group were also negative(r=-0.414,-0.352,-0.355,-0.336,-0.456,-0.360,P<0.05).CONCLUSION Recurrent apnea and hypoxemia at night of OSAHS patients can cause damage to white matter fibers in parts of encephalic regions.
5.Prevalence and associated factors of screening positive myopia among elementary and middle school students in Guangdong
XU Chan, LI Meng, SHEN Shaojun, CHEN Qiuxia, YU Huijuan, YANG Wenhan, QU Yabin
Chinese Journal of School Health 2024;45(5):737-741
Objective:
The study aims to analyze the prevalence and associated factors of myopia among 4 to 9 grade students in Guangdong Province in 2022, so as to provide a scientific basis for targeted intervention measures for myopia in children and adolescents.
Methods:
From September to October 2022, stratified cluster random sampling was used to select 29 095 of 4 to 9 grade students from Guangzhou, Jiangmen, and Meizhou in Guangdong Province for myopia screening and questionnaire surveys. The Chisquare test was applied to compare the differences between groups, and multivariable Logistic stepwise regression analysis was used to analyze factors associated with myopia.
Results:
The myopia detection rate of 4 to 9 grade students was 61.7%, with detection rates of 51.5% for 4 to 6 grade primary school students and 71.95% for 7 to 9 grade junior high school students. Multivariable Logistic regression analysis showed that higher myopia rates were detected among girls (OR=1.39, 95%CI=1.30-1.49), students with one (OR=1.82, 95%CI=1.69-1.96) or both parents having myopia (OR=2.86, 95%CI=2.56-3.18), and indoor sedentary time >6 h(OR=1.28, 95%CI=1.17-1.39) in the 4 to 6 grade. Lower myopia rates were detected in the county (OR=0.92, 95%CI=0.86-0.99) and outdoors at recess activities (OR=0.88, 95%CI=0.81-0.95). Meanwhile, higher myopia rates were detected among girls (OR=1.84, 95%CI=1.69-1.99), students with one (OR=1.87, 95%CI=1.71-2.04) or both parents having myopia (OR=3.03, 95%CI=2.63-3.50), and indoor sedentary time >6 h/d (OR=1.11, 95%CI=1.01-1.23) in the 7 to 9 grade. Lower myopia rates were detected in the county (OR=0.74, 95%CI=0.68-0.80), outdoors at recess activities (OR=0.83, 95%CI=0.76-0.91), and outdoor activity time ≥2 h/d(OR=0.87, 95%CI=0.80-0.95)(P<0.05).
Conclusions
The detection rate of myopia among 4 to 9 grade students in Guangdong Province is relatively high. Place of recess activities, daily outdoor activity and indoor sedentary duration are associated with myopia. Therefore, targeted intervention measures should be adopted, such as appropriately increasing outdoor activity to reduce the occurrence of myopia among primary and middle school students.
6.Correlation study between brain damage and anxiety, depression, and cognitive impairment in patients with moderate to severe obstructive sleep apnea hypopnea syndrome using diffusional kurtosis imaging
Yaoyao ZHAI ; Xiaoxia LIU ; Chan MENG ; Shuhua LI ; Dahai WU
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2024;59(5):472-479
Objective:To explore the brain white matter damage in patients with moderate to severe obstructive sleep apnea hypopnea syndrome(OSAHS) using diffusional kurtosis imaging(DKI), and to analyze its relationship with anxiety, depression and cognitive impairment in patients.Methods:This was a retrospective case-control study. Fifty confirmed cases (47 males and 3 females) of moderate to severe OSAHS diagnosed by polysomnography(PSG) from November 2017 to December 2022 were selected as OSAHS group(age range from 22 to 65 years old, with median age of 40 years old), and 32 healthy controls(27 males and 5 females) of non-OSAHS diagnosed by PSG were selected as control group(age range from 19 to 56 years old, with median age of 34 years old). DKI scanning, Beck Anxiety Inventory(BAI), Beck Depression Inventory-Ⅱ(BDI-Ⅱ), and Montreal cognitive assessment(MoCA) scores were performed in all subjects. Differences in kurtosis fractional anisotropy(KFA) of various brain regions were compared between the two groups to identify differential brain regions. Correlations were analyzed between KFA reduction and anxiety, depression, and cognitive impairment in OSAHS patients. To study the correlation between brain injury and anxiety, depressive mood, and cognitive dysfunction, statistical methods such as non-parametric tests for two independent samples, chi-square tests, and partial correlation analysis, were used to analyze the evaluation indicators of the two groups.Results:The KFA values in right external capsule, left anterior corona radiata, right anterior corona radiata, left posterior corona radiata, right posterior corona radiata, left superior corona radiata, right superior corona radiata, left superior longitudinal fasciculus, right superior longitudinal fasciculus, genu of corpus callosum, splenium of corpus callosum, body of corpus callosum, posterior cingulate gyrus of moderate to severe OSAHS group were all lower than those in the control group( t=-2.247, -3.028, -3.955, -4.871, -2.632, -2.594, -2.121, -2.167, -3.129, -2.015, -2.317, -2.313, -2.152, P<0.05). For the moderate to severe OSAHS group, the correlation between AHI and KFA values of right posterior corona radiata, right superior corona radiata, left anterior corona radiata, left posterior corona radiata, left superior corona radiata, left superior longitudinal fasciculus, genu of corpus callosum, body of corpus callosum, splenium of corpus callosum were all negative( r=-0.378, -0.307, -0.337, -0.343, -0.341, -0.613, -0.390, -0.384, -0.396, P<0.05). The correlation between LSO 2 and KFA values of right anterior corona radiata, right posterior corona radiata, right superior corona radiata, right superior longitudinal fasciculus, left anterior corona radiata, left posterior corona radiata, left superior corona radiata, left superior longitudinal fasciculus, genu of corpus callosum, body of corpus callosum, splenium of corpus callosum, posterior cingulate gyrus were all positive( r=0.330, 0.338, 0.425, 0.312, 0.433, 0.358, 0.410, 0.459, 0.473, 0.659, 0.489, 0.356, P<0.05). The correlation between BAI scores and KFA values of right external capsule, right anterior corona radiata, left posterior corona radiata, left superior corona radiata, body of corpus callosum, splenium of corpus callosum were all negative( r=-0.306, -0.372, -0.296, -0.346, -0.318, -0.386, P<0.05). The correlation between BDI-Ⅱ scores and KFA values of right superior corona radiata, right superior longitudinal fasciculus, left anterior corona radiata, genu of corpus callosum, body of corpus callosum, splenium of corpus callosum were all negative( r=-0.334, -0.289, -0.309, -0.310, -0.503, -0.469, P<0.05). The correlation between MoCA scores and KFA values of right posterior corona radiata, right superior longitudinal fasciculus, left anterior corona radiata, left superior corona radiata, left superior longitudinal fasciculus, genu of corpus callosum, body of corpus callosum, splenium of corpus callosum were all positive( r=0.368, 0.431, 0.324, 0.410, 0.469, 0.384, 0.369, 0.309, P<0.05). Conclusions:With the aggravation of OSAHS, the damage to some brain regions becomes more pronounced in moderate to severe OSAHS patients. These damage brain functional areas are closely related to the anxiety, depression, and cognitive impairment of patients.
7.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
8.Treatment and outcomes of high-risk neuroblastoma in Southeast Asia: a single-institution experience and review of the literature.
Anselm Chi-Wai LEE ; Chan Hon CHUI ; Robert KWOK ; Kim Shang LEE ; Chee Meng FONG ; Wilfred Hing-Sang WONG
Singapore medical journal 2023;64(5):319-325
INTRODUCTION:
In Europe and North America, the majority of children with high-risk neuroblastoma survive the disease. Elsewhere, the treatment outcomes are poor.
METHODS:
A retrospective review of children treated for high-risk neuroblastoma in a single institution in Singapore from 2007 to 2019 was carried out. Treatment consisted of intensive chemotherapy, surgery aimed at gross total resection of residual disease after chemotherapy, consolidation with high-dose therapy followed by autologous stem cell rescue, and radiotherapy to the primary and metastatic sites followed by maintenance treatment with either cis-retinoic acid or anti-disialoganglioside monoclonal antibody therapy. Survival data were examined on certain clinical and laboratory factors.
RESULTS:
There were 57 children (32 male) treated for high-risk neuroblastoma. Their mean age was 3.9 (range 0.7-14.9) years. The median follow-up time was 5.5 (range 1.8-13.0) years for the surviving patients. There were 31 survivors, with 27 patients surviving in first remission, and the five-year overall survival and event-free survival rates were 52.5% and 47.4%, respectively. On log-rank testing, only the group of 17 patients who were exclusively treated at our centre had a survival advantage. Their five-year overall survival rate compared to patients whose initial chemotherapy was done elsewhere was 81.6% versus 41.1% (P = 0.011), and that of event-free survival was 69.7% versus 36.1% (P = 0.032). Published treatment results were obtained from four countries in Southeast Asia with five-year overall survival rates from 13.5% to 28.2%.
CONCLUSION
Intensified medical and surgical treatment for high-risk neuroblastoma proved to be effective, with superior survival rates compared to previous data from Southeast Asia.
Child
;
Humans
;
Male
;
Infant
;
Child, Preschool
;
Adolescent
;
Disease-Free Survival
;
Neuroblastoma/pathology*
;
Hematopoietic Stem Cell Transplantation/methods*
;
Treatment Outcome
;
Antineoplastic Combined Chemotherapy Protocols/therapeutic use*
;
Asia, Southeastern/epidemiology*
;
Combined Modality Therapy
9.Initiating or switching to insulin degludec/insulin aspart in adults with type 2 diabetes in Malaysia
Mafauzy Mohamed ; Siang Chin Lim ; Malik Mumtaz ; Shweta Uppal ; Deepak Mukherjee ; Mohamed Saiful Mohd Kassim ; Shalini Sreedharan ; Amudha Murugan Doraiswamy ; Kuck Meng Chong ; Lu Yu Tat ; Sudzilla Binti Nordin ; Jeshen Lau Hui Giek ; Zanariah Hussein ; Khalid Abdul Kadir ; Bik Kui Lau ; Siew Pheng Chan
Journal of the ASEAN Federation of Endocrine Societies 2023;38(1):37-44
Objectives:
Insulin degludec (IDeg)/insulin aspart (IAsp; IDegAsp) is a co-formulation of 70% IDeg and 30% IAsp. According to several randomized controlled trials, IDegAsp is effective and safe for patients with type 2 diabetes mellitus (T2DM). A subgroup analysis of the ARISE study was conducted to explore the safety and efficacy of IDegAsp among Malaysian patients with T2DM in real-world settings.
Methodology:
ARISE, an open-label, multicenter, non-interventional, prospective study was conducted between August 2019 and December 2020. Adult Malaysian patients with T2DM who were enrolled from 14 sites received IDegAsp as per the local label for 26 weeks. The primary endpoint was change in glycated hemoglobin (HbA1c) levels from baseline
to end of study (EOS).
Results:
Of the 182 patients included in the full analysis set, 159 (87.4%) completed the study. From baseline to EOS, HbA1c (estimated difference [ED]: –1.3% [95% CI: –1.61 to –0.90]) and fasting plasma glucose levels (ED: –1.8 mmol/L [95% CI: –2.49 to –1.13]) were significantly reduced (p<0.0001). The patient-reported reduced hypoglycemic episodes (overall and nocturnal) during treatment. Overall, 37 adverse events were observed in 23 (12.6%) patients.
Conclusion
Switching or initiating IDegAsp treatment resulted in significant improvements in glycemic control and a reduction in hypoglycemic episodes.
10.A machine learning-based predictive model of nonsuicidal self-injurious behavior among college students in Guizhou Province
PAN Chan, LIU Xiaorong, SHI Xiangzi, ZHAO Wenxin, TIAN Meng, CHEN Siyuan, ZHANG Wanzhu
Chinese Journal of School Health 2023;44(8):1198-1202
Objective:
To explore the effectiveness of machine learning algorithms in predicting non-suicidal self-injury (NSSI) behavior among college students, and to analyze the influencing factors of NSSI behavior, thus providing a reference for promoting psychological well-being.
Methods:
In December 2022, a stratified random cluster sampling method was used to select 835 college students from a university in Guizhou Province, China. The Adolescent Self-injury Scale, Family Function Assessment Scale, and Emotion Regulation Self-efficacy Scale were used to evaluate the participants. Demographic characteristics, family factors, and emotional factors were taken as independent variables, while the dependent variable was whether college students exhibited NSSI behavior. Machine learning algorithms, including Logistic regression, support vector machine (SVM), decision trees, algorithm gradient boosting trees, random forests, and AdaBoost, were used to construct predictive models.
Results:
The detection rate of NSSI behavior among the college students was 23.23% (194 individuals). The NSSI behavior group scored higher than the non-NSSI behavior group in total family function, emotional communication, egoism, and family rules ( t=3.02, 3.35 , 2.23,2.87, P <0.05). On the other hand, the non-NSSI behavior group scored higher than the NSSI behavior group in total emotion regulation selfefficacy, managing negative emotion self-efficacy, and expressing positive emotion self-efficacy ( t=-5.04, -5.48 , -2.43, P <0.05). The recall rates of random forests, SVM, Logistic regression, decision trees, algorithm gradient boosting trees, and AdaBoost were 84.3% , 90.6%, 73.4%, 87.5%, 95.3%, 89.0%, respectively. The F1 scores were 84.4%, 92.1%, 71.2 %, 79.4%, 91.7%, 89.1% , respectively. The respective precision rates were 84.4%, 93.5%, 69.1%, 72.7%, 88.4%, 89.1 %. The AUC scores were 0.845, 0.922, 0.706, 0.776, 0.915, and 0.891, respectively.
Conclusion
Compared to the algorithm gradient boosting tree, random forest, Logistic regression, and AdaBoost models, the SVM model has a better predictive effect on whether college students in Guizhou Province exhibits NSSI behavior. It is recommended to use an appropriate model to identify students at risk of NSSI behavior as early as possible and provide psychological crisis interventions to promote their mental health.


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