Aim Based on coronary CT-fractional flow reserve(CT-FFR)combined with machine learning methods,a nomogram prediction model for coronary in-stent restenosis(ISR)was developed to assess the risk of ISR.Methods Retrospective analysis was performed on patients who underwent re-examination after PCI at our hospital from January 2022 to January 2025.According to the exclusion criteria,a total of 210 patients were enrolled,including 100 cases of ISR and 110 cases of non-ISR.The dataset was randomly divided into training and test sets at a 7∶3 ratio.Af-ter univariate analysis to screen potential predictors,LASSO regression was applied to identify feature variables with non-ze-ro coefficients.Subsequently,three machine learning(ML)algorithms including random forest(RF),support vector machine(SVM),and extreme gradient boosting(XGB)were used to rank the importance of the significant factors.The intersection of the top 10 variables from each algorithm was used as input for bidirectional stepwise multivariate Logistic re-gression.An ISR risk score was then constructed and visualized using a nomogram.Results A total of 14 predictive factors were identified through LASSO regression,including diastolic blood pressure,C-reactive protein,triglycerides(TG),N-terminal pro-brain natriuretic peptide(NT-proBNP),low density lipoprotein cholesterol(LDLC),minimum stent diameter＜3 mm,systolic blood pressure,△CT-FFR,CT-FFR,interleukin-6(IL-6),body mass index,glycosylated hemoglobin(HbA1c),history of hypertension,and high density lipoprotein cholesterol(HDLC).Following stepwise screening using three ML algorithms and Logistic regression,six independent risk factors for ISR were identified:elevated△CT-FFR,IL-6,NT-proBNP,TG and CT-FFR values,and minimum stent diameter＜3 mm.The area under the curve for the training set and test set were 0.995(95％CI:0.989～1.000)and 0.965(95％CI:0.927～1.000),respectively.Decision curve analysis demonstrated high net benefit across threshold probabilities of 0～1.00 in the training set and 0～0.92 in the test set.The nomogram integrating these six predictors exhibited high accuracy and clinical utility.Con-clusion The ISR nomogram prediction model based on LASSO-ML combined with CT-FFR technology has high accuracy and clinical utility for ISR.

Aim Based on coronary CT-fractional flow reserve(CT-FFR)combined with machine learning methods,a nomogram prediction model for coronary in-stent restenosis(ISR)was developed to assess the risk of ISR.Methods Retrospective analysis was performed on patients who underwent re-examination after PCI at our hospital from January 2022 to January 2025.According to the exclusion criteria,a total of 210 patients were enrolled,including 100 cases of ISR and 110 cases of non-ISR.The dataset was randomly divided into training and test sets at a 7∶3 ratio.Af-ter univariate analysis to screen potential predictors,LASSO regression was applied to identify feature variables with non-ze-ro coefficients.Subsequently,three machine learning(ML)algorithms including random forest(RF),support vector machine(SVM),and extreme gradient boosting(XGB)were used to rank the importance of the significant factors.The intersection of the top 10 variables from each algorithm was used as input for bidirectional stepwise multivariate Logistic re-gression.An ISR risk score was then constructed and visualized using a nomogram.Results A total of 14 predictive factors were identified through LASSO regression,including diastolic blood pressure,C-reactive protein,triglycerides(TG),N-terminal pro-brain natriuretic peptide(NT-proBNP),low density lipoprotein cholesterol(LDLC),minimum stent diameter＜3 mm,systolic blood pressure,△CT-FFR,CT-FFR,interleukin-6(IL-6),body mass index,glycosylated hemoglobin(HbA1c),history of hypertension,and high density lipoprotein cholesterol(HDLC).Following stepwise screening using three ML algorithms and Logistic regression,six independent risk factors for ISR were identified:elevated△CT-FFR,IL-6,NT-proBNP,TG and CT-FFR values,and minimum stent diameter＜3 mm.The area under the curve for the training set and test set were 0.995(95％CI:0.989～1.000)and 0.965(95％CI:0.927～1.000),respectively.Decision curve analysis demonstrated high net benefit across threshold probabilities of 0～1.00 in the training set and 0～0.92 in the test set.The nomogram integrating these six predictors exhibited high accuracy and clinical utility.Con-clusion The ISR nomogram prediction model based on LASSO-ML combined with CT-FFR technology has high accuracy and clinical utility for ISR.

Objective:To evaluate the clinical value of cognitive and motor function in predicting conversion to neurodegenerative disorders in patients with isolated rapid eye movement sleep behavior disorder (iRBD).Methods:Forty-seven patients with iRBD were collected from the Department of Neurology of Tianjin Medical University General Hospital and Tianjin Medical University General Hospital Airport Site during October 2018 and June 2022. All participants received comprehensive evaluations of cognitive and motor function at baseline. The visuospatial function was evaluated by Rey-Osterrieth Complex Figure Test (ROCF)-copy, the memory function was evaluated by Auditory Verbal Learning Test and ROCF-recall, the attention-executive function was evaluated by Trail Making Test (TMT) and Stroop Color-Word Test, and the language function was evaluated by Boston Naming Test. The motor function was evaluated by Unified Parkinson′s Disease Rating Scale-Ⅲ, Alternate-tap Test (ATT), and 3-meter Timed Up and Go Test. The iRBD patients with phenoconversion were identified during follow-up. Receiver operating characteristic curve and generalized linear model Logistic regression were applied to identify the optimal combination of cognitive and motor tests in distinguishing the converters from non-converters in patients with iRBD. Multivariate Cox regression analyses were applied to evaluate the independent risk factors in predicting conversion to neurodegenerative diseases in patients with iRBD.Results:The median follow-up duration was 3 years. Forty-five iRBD patients were included in the analysis eventually, as 2 dropped out at follow-up. Twenty-one iRBD patients developed neurodegenerative disorders, with 14 presenting motor phenotype and 7 cognitive phenotype. Baseline ROCF-copy, TMT-A and ATT were best combination in identifying iRBD patients with phenoconversion [sensitivity: 90.0%, specificity: 87.5%, area under curve (AUC): 0.931, P<0.001]. Baseline TMT-A and ATT were best combination in identifying iRBD patients with motor phenotype conversion (sensitivity: 100.0%, specificity: 66.7%, AUC: 0.872, P<0.001); Baseline TMT-A performed best in identifying iRBD patients with cognitive phenotype conversion (sensitivity: 83.3%, specificity: 91.7%, AUC: 0.917, P<0.001). Multivariate Cox regression analysis showed that individuals with poorer performance of TMT-A (cut-off value: 63.0 s) and ATT (cut-off value: 205.5 taps/min) than the cut-off values at baseline had higher risks for developing to neurodegenerative disorders, with HR values of 5.455 (95% CI 1.243-23.941, P=0.025) and 11.279 (95% CI 1.485-85.646, P=0.019), respectively. Conclusions:In iRBD, ROCF-copy, TMT-A and ATT served as optimum combination in predicting phenoconversion, whereas TMT-A and ATT served as optimum combination in predicting motor phenotype, and TMT-A performed best in predicting cognitive phenotype. The performance in TMT-A and ATT in iRBD could predict the risk of developing to neurodegenerative disorders independently.

OBJECTIVE: To explore the genetic basis for a child with facial dysmorphism and multiple malformations. METHODS: The child, born at 34⁺⁶ weeks' gestation due to premature rupture of amniotic membrane, dichorionic diamniotic twinning and gestational diabetes, was subjected to chromosomal karyotyping analysis and copy number variations sequencing (CNV-seq). RESULTS: The child was found to have facial dysmorphism, hypospadia, cryptorchidism and hypotonia. He was found to have a 46,XY,del(3)(p26) karyotype in addition with a 9.80 Mb deletion (chr3: 60 000-9 860 000) encompassing 33 protein coding genes. CONCLUSION The 3p26.3p25.3 deletion probably underlay the multiple malformations in this child. Continuous follow-up is required to improve his quality of life.
Humans ; Male ; Chromosome Deletion ; DNA Copy Number Variations ; Quality of Life ; Abnormalities, Multiple/genetics* ; Phenotype

Objective:To observe the effect of general anesthesia combined with serratus anterior plane block (SAPB) on the quality of life and postoperative pain of patients undergoing breast cancer surgery.Methods:The clinical data of 80 patients with breast cancer undergoing elective modified radical mastectomy admitted to the Affiliated Hospital of Guilin Medical College from January 2020 to March 2021 were retrospectively analyzed. According to different anesthesia methods, they were divided into control group and observation group, with 40 cases in each group. The control group received simple general anesthesia, while the observation group received general anesthesia combined with SAPB. The degree of postoperative pain in the two groups at 3, 6, 12 and 24 h after surgery was evaluated with the Numerical Rating Scale (NRS) score, and the postoperative recovery at 24 h after surgery and quality of life at 3 h and 6 months after surgery were evaluated with the Quality of Recovery-40 (QoR-40) score and the Short Form of Health Survey (SF-36). The serum levels of pain related cytokines[neuropeptide Y (NPY), prostaglandin E2 (PGE2), and 5-hydroxytryptamine (5-HT) ] in the two groups were compared. The complications of the two groups were recorded.Results:The NRS score in the observation group at 6 h and 12 h after operation were lower than those in the control group (all P<0.05). The QoR-40 score at 24 h after operation and SF-36 score at 6 months after operation in the observation group were higher than those in the control group (all P<0.05). There was no significant difference in the incidence of postoperative complications between the two groups ( P>0.05). The NPY, PGE2 and 5-HT levels of patients in the observation group were lower than those in the control group at 24 h after operation (all P<0.05). Conclusions:The use of general anesthesia combined with SAPB in modified radical mastectomy for breast cancer can alleviate postoperative pain and improve long-term quality of life, which may be related to the reduction of pain related cytokine secretion.

OBJECTIVE: To carry out prenatal diagnosis and genetic analysis for a fetus with disorders of sex development (DSDs). METHODS: A fetus with DSDs who was identified at the Shenzhen People's Hospital in September 2021 was selected as the study subject. Combined molecular genetic techniques including quantitative fluorescence PCR (QF-PCR), multiplex ligation-dependent probe amplification (MLPA), chromosomal microarray analysis (CMA), quantitative real-time PCR (qPCR), as well as cytogenetic techniques such as karyotyping analysis and fluorescence in situ hybridization (FISH) were applied. Ultrasonography was used to observe the phenotype of sex development. RESULTS: Molecular genetic testing suggested that the fetus had mosaicism of Yq11.222qter deletion and X monosomy. Combined with the result of cytogenetic testing, its karyotype was determined as mos 45,X[34]/46,X,del(Y)(q11.222)[61]/47,X,del(Y)(q11.222),del(Y)(q11.222)[5]. Ultrasound examination suggested hypospadia, which was confirmed after elective abortion. Combined the results of genetic testing and phenotypic analysis, the fetus was ultimately diagnosed with DSDs. CONCLUSION This study has applied a variety of genetic techniques and ultrasonography to diagnose a fetus with DSDs with a complex karyotype.
Prenatal Diagnosis ; Mosaicism ; Chromosomes, Human, X ; Chromosomes, Human, Y ; Humans ; Male

Objective To overview the methodological quality,report quality and evidence quality of the Meta-Analyses/Systematic Reviews(MAs/SRs)of acupuncture for post-stroke cognitive impairment(PSCI).Methods A search was conducted for MAs/SRs on PSCI using English or Chinese from inception to 20 February 2022 published in four Chinese databases:CNKI,Wanfang,VIP,CBM;and three English databases:PubMed,Embase and Cochrane Library.The MAs/SRs were evaluated for methodological quality using AMSTAR 2 and for reporting quality using PRISMA,and the quality of evidence was assessed using the GRADE system.Results A total of 18 MAs/SRs were included in this study,of which 89%showed the effectiveness and safety of acupuncture for PSCI.According to AMSTAR 2,1 study was of low methodological quality and 17 studies were of critically low quality;according to PRISMA,1 study was of high quality,16 studies were of moderate quality and 1 study was of poor quality;GRADE showed that of the 71 outcomes included,however,there was no evidence of high quality outcomes,with 10 of moderate quality,17 of low quality,and 44 of very low quality.Conclusion Acupuncture may be effective and safe in the treatment of PSCI,but in current acupuncture for PSCI is generally of low quality and should be interpreted with caution.

Objective A scoping review of clinical research studies on acupuncture and moxibustion intervention in mild cognitive impairment(MCI),to get a comprehensive understanding of the current state of research in the field,in order to provide reference for the key research direction and clinical decision-making of acupuncture and moxibustion intervention in MCI in the future.Methods Systematic searches were carried out in Chinese and English databases(such as CNKI,Wanfang,VIP,China Biomedical Database,Pubmed,Web of Science,Embase,The Cochrane library),and trial registration platforms(such as WHO ICTRP and Clinical Trials.gov).the clinical studies and Systematic Reviews(SRs)and/or Meta-analyses(MAs)of acupuncture and moxibustion in the treatment of MCI were collected.The search language is limited to Chinese and English,and the search time is from the establishment to July 27,2022.The final included studies were summarized from the aspects of annual publication trend,the patterns of Traditional Chinese medicine(TCM)syndrome differentiation,acupuncture treatment plan,and outcome indicators of clinical studies.AMASTAR 2 was used to evaluate the methodological quality of SRs/MAs,and evidence mapping was constructed using bubble charts,etc.Results 108 original clinical studies and 9 SRs/MAs were included.The included clinical studies were randomized controlled trials.From 2006 to 2022,the number of publications generally showed an upward trend.Kidney essence deficiency syndrome was the most common dialectical classification in TCM.Special acupuncture treatment regimens are most common as interventions.And outcome measures were mainly Mini-Mental State Examination,Montreal Cognitive Assessment,and Activities of Daily Living,and so on.The assessment of AMSTAR 2 showed at least more than 2 critical flaws,the methodological quality of included SRs/MAs was critically low.Conclusion At present,acupuncture and moxibustion intervention for MCI has a good development prospect and is worthy of in-depth study,but there are still problems such as a single type of clinical study,lack of unified standards for TCM syndrome differentiation,and further standardization of outcome indicator reporting.In addition,the quality of existing evidence for SRs/MAs is generally low,and more in-depth studies are needed to clarify the clinical efficacy and safety of acupuncture and moxibustion intervention for MCI.

Objective:To explore the application effect of TBL (team-based learning) + PAL (peer assisted leaning) + Flipped Class mixed teaching mode in the course of "nursing psychology" for nursing undergraduates.Methods:A total of 146 nursing undergraduates from four classes enrolled in 2018 were subjected to cluster sampling and assigned to classes 1-2 (experimental group, n=73) and classes 3-4 (control group, n=73). The experimental group adopted the TBL + PAL + Flipped Class mixed teaching mode, while the control group adopted the traditional teaching method. After the course, the two groups were evaluated by final exam score, case analysis score, and core competence self-assessed score with a t-test in SPSS 18.0. Results:The final examination score (82.30±7.77) and case analysis score (46.13±2.91) of the experimental group were significantly higher than those in the control group (74.97±7.05 and 40.36±4.25). The experimental group showed significantly higher scores in autonomous learning ability (8.03±0.91), problem analysis ability (7.99±0.99), teamwork ability (7.67±1.09) and critical thinking ability (7.03±1.33) as compared with the control group (6.21±1.17, 5.64±1.28, 5.79±1.27, 5.15±1.16).Conclusion:TBL + PAL + Flipped Class mixed teaching mode integrates the advantages of the three teaching forms, promotes students' understanding and application of knowledge points, improves students' ability of independent learning, teamwork, and problem analysis, strengthens students' ability of transfer and application of knowledge and skills, increases the teaching effect, and expands the teaching method of nursing psychology.

Objective:To investigate the prevalence and influencing factors of mild visual impairment in type 2 diabetic patients aged ≥50 years living in Funing County, Jiangsu Province.Methods:A population-based cross-sectional study was adopted.Cluster sampling was conducted among diabetic patients aged ≥50 years registered in the Chronic Disease Information Center of Funing County Center for Disease Prevention and Control from March 7th to April 20th, 2019.General information of selected patients was collected.Visual and ocular examinations on site were performed by ophthalmologists and technicians.The International Council of Ophthalmology standard for mild visual impairment, 0.3≤best corrected visual acuity<0.8 was adopted.The influencing factors of mild visual impairment were analyzed by logistic regression.This study protocol was approved by the Ethics Committee of Affiliated Hospital of Nantong University (No.2014-071).Results:Among the included 2 067 patients, 1 909 cases completed the investigation, with a response rate of 92.4%.There were 1 146 patients with mild visual impairment in at least one eye, and the prevalence of mild visual impairment was 60.00%.Among the eyes examined, 1 832 eyes were with mild visual impairment, accounting for 47.98%.Cataract (896/1 632), refractive error (515/1 632) and diabetic retinopathy (166/1 632) were the main causes of mild visual impairment in diabetic patients, accounting for 54.90%, 31.61% and 10.19%, respectively.Aging, female gender, low educational attainment, oral hypoglycemic drugs or subcutaneous insulin injection were risk factors for mild visual impairment in both eyes.Higher educational attainment, more sunshine exposure and exercise were protective factors for mild visual impairment in both eyes.Conclusions:The prevalence of mild visual impairment is relatively high in type 2 diabetic patients.Cataract surgery, correction of refractive error may help to improve mild visual impairment.Strengthening blood glucose control, more physical exercise and outdoor activities may slow the progression of mild visual impairment and prevent it from moderate and severe visual impairment.