ObjectiveTo establish a risk recognition model for coronary artery stenosis by using a machine learning method and to identify the key causative factors. MethodsPatients aged ≥18 years，diagnosed with coronary heart disease through coronary angiography from January 2013 to May 2020 in two prominent hospitals in Shanxi Province， were continuously enrolled. Logistic regression，back propagation neural network （BPNN）， and random forest（RF）algorithms were used to construct models for detecting the causative factors of coronary artery stenosis. Sensitivity （TPR）， specificity （TNR）， accuracy （ACC）， positive predictive value （PV+）， negative predictive value （PV-）， area under subject operating characteristic curve （AUC）， and calibration curve were used to compare the discrimination and calibration performance of the models. The best model was then employed to predict the main risk variables associated with coronary stenosis. ResultsThe RF model exhibited superior comprehensive performance compared to logistic regression and BPNN models. The TPR values for logistic regression，BPNN，and RF models were 75.76%， 74.30%， and 93.70%， while ACC values were 74.05%， 72.30%， and 79.49%， respectively. The AUC values were：logistic regression 0.739 9； BPNN 0.723 1； RF 0.752 2. Manifestations such as chest pains，abnormal ST segments on ECG，ventricular premature beats with hypertension， atrial fibrillation， regional wall motion abnormalities（RWMA） by color echocardiography， aortic regurgitation（AR）， pulmonary insufficiency （PI）， family history of cardiovascular diseases，and body mass index（BMI）were identified as top ten important variables affecting coronary stenosis according to the RF model. ConclusionsRandom forest model shows the best comprehensive performance in identification and accurate assessment of coronary artery stenosis. The prediction of risk factors affecting coronary artery stenosis can provide a scientific basis for clinical intervention and help to formulate further diagnosis and treatment strategies so as to delay the disease progression.

OBJECTIVE To evaluate the efficacy and safety of high-dose ilaprazole combined with amoxicillin for newly diagnosed elderly patients with Helicobacter pylori （Hp） infection， and analyze independent risk factors for failure of Hp infection eradication treatment. METHODS Totally 200 cases of newly diagnosed elderly patients with Hp infection in Xinxiang Central Hospital from August 1， 2021 to December 1， 2024 were selected and randomly divided into control group and study group， with 100 cases in each group. The control group was treated with classic quadruple therapy regimen （Amoxicillin capsules+ Clarithromycin tablets+Bismuth potassium citrate tablets+Ilaprazole enteric-coated tablets）. The study group was treated with high- dose Ilaprazole enteric-coated tablets+Amoxicillin capsules. All patients were administered medication for 2 weeks. Hp eradication rates in the two groups were compared using intention-to-treat （ITT） and per-protocol （PP） analyses. The incidence of adverse reactions in both groups was also recorded. The multiple-factor Logistic regression analysis was used to identify independent risk factors for failure of Hp infection eradication treatment. RESULTS In ITT and PP analyses， there was no significant difference of Hp eradication rates between the two groups （P＞0.05）. There was no significant difference in incidence of mild to moderate adverse reactions between the two groups （P＞0.05）. BMI ≤18.5 kg/m2， BMI ＞23.9 kg/m2， rural residence， concomitant diabetes and concomitant heart disease were identified as independent risk factors influencing the failure of Hp infection eradication treatment （P＜0.05）. CONCLUSIONS The efficacy and safety of high-dose ilaprazole combined with amoxicillin are comparable to classic quadruple therapy regimen in treating newly diagnosed elderly patients with Hp infection. Independent risk factors influencing the failure of Hp infection eradication treatment include BMI ≤18.5 kg/m2， BMI ＞23.9 kg/m2， rural residence， concomitant diabetes and concomitant heart disease.

Objective:To integrate qualitative research on the experience of parents of children with cancer participating in shared decision-making, so as to provide reference for medical and nursing staff to support the participation of parents of children with cancer in shared decision-making.Methods:The qualitative research on the experience of parents of children with cancer participating in shared decision-making was searched on China National Knowledge Infrastructure, WanFang Data, VIP, China Biology Medicine disc, PubMed, Web of Science, Cochrane Library, Embase, and CINAHL from the establishment of database to February 2023. The literature was evaluated using the quality evaluation criteria for qualitative research of the Australia Joanna Briggs Institute Evidence-Based Health Care Center. The aggregation integration method was used to integrate the results.Results:A total of 14 articles were included, with 56 themes extracted and categorized into nine categories, forming four integrated results, including strong willingness of parents of children with cancer to participate in shared decision-making, differences in the participation of parents of children with cancer in shared decision-making, obstacles to parents' participation in shared decision-making, and the need for multiple parties to support the participation of parents of children with cancer in shared decision-making.Conclusions:The participation of parents of children with cancer in shared decision-making needs to be based on the current situation of decision-making in the field of pediatric cancer in China, and a localized decision support system should be constructed. Medical and nursing staff should enhance their awareness of shared decision-making, solve the practical dilemma of parents of children with cancer participating in shared decision-making, meet their diverse information, emotional, and social needs, and provide supportive care.

Virtual reality technology is an emerging technology that integrates multiple disciplines. It has the advantages of immersion, interactivity and imagination, which provides convenience for intelligent nursing in the field of rehabilitation treatment. This paper summarizes the application research of virtual reality technology in patients with kinetophobia, focusing on classification, application mechanism, application status, limitations and future development of virtual reality technology in various diseases of kinetophobia, so as to provide reference and basis for the rehabilitation nursing of patients with kinetophobia based on virtual reality technology in the future.

Objective The DNA methylation microhaplotype(DMH)refers to the combination of multiple methylation sites within a very short range,and these haplotypes show wide diversity.We carried out screening and validation of age-related DMHs in mouse blood.Methods We initially constructed a theoretical dataset of DMHs based on the mouse reference genome.We then screened age-related DMHs by Spearman's rank correlation analysis,using high-throughput sequencing information for DNA methylation in mouse blood from a network database.Finally,cross-validation was performed using a validation dataset.Results A total of 6787 142 DMH sites were identified within 50 bp in the mouse genome,including 98.64%of single-digit CpG sites.A total of 5835 age-associated DMHs were screened in 58 mouse blood samples(|rho|＞0.5,P＜0.01),accounting for 0.086%of DMHs.Finally,we validated the top 100 age-associated DMHs with high correlation in 95 independent samples,Resultsing in 44 loci.Conclusions The age-associated DMHs screened in this study may be useful in future studies of apparent age prediction using mouse blood and in aging studies.

Objective:To elucidate the primary elements pertaining to the perception of relapse risk and to in-vestigate the characteristics and alterations of perception of the risk of recurrence in patients with schizophrenia.Methods:By using the method of phenomenological study,semi-structured in-depth interviews were conducted among schizophrenic patients with first onset,first recurrence and multiple recurrences.Twenty-three 23 outpatient and inpatient cases that met the criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)were included,and all patients had PANSS scores below 60.The interview data were collated and analyzed according to Colaizzi analysis.Results:The perception of recurrence risk in patients with schizophrenia en-compassed 4 major themes and 11 sub-themes,namely susceptibility(limited overall understanding,transition from optimism to objectivity),detection of early warning symptoms(dynamic escalation,assistance from family mem-bers in identification),understanding risk factors(lack of understanding,the relationship between psychosocial fac-tors and relapse,dynamic understanding of medication-relapse relationship),and apprehension of the consequences of recurrence(care burden and financial constraints,impaired social functioning and maladjustment,impact on pub-lic safety,personal health risks).Conclusion:The content of risk perception of recurrence in patients with schizo-phrenia is relatively substantial.The overall level of risk perception of recurrence in patients with schizophrenia is low.

Purpose: This study examined the diagnostic value of high-frequency ultrasound (HFUS) features in differentiating between benign and malignant skin lesions. Methods: A total of 1,392 patients with 1,422 skin lesions who underwent HFUS examinations were included in an initial dataset (cohort 1) to identify features indicative of malignancy. Qualitative clinical and HFUS characteristics were recorded for all lesions. To determine which HFUS and clinical features were suggestive of malignancy, univariable and multivariable logistic regression analyses were employed. The diagnostic performance of HFUS features combined with clinical information was evaluated. This assessment was validated using internal data (cohort 2) and multicenter external data (cohort 3). Results: Features significantly associated with malignancy included age above 60 years; lesion location in the head, face, and neck or genital regions; changes in macroscopic appearance; crawling or irregular growth pattern; convex or irregular base; punctate hyperechogenicity; blood flow signals; and feeding arteries. The area under the receiver operating characteristic curve, sensitivity, and specificity of HFUS features combined with clinical information were 0.946, 92.5%, and 86.9% in cohort 1; 0.870, 93.1%, and 80.8% in cohort 2 (610 lesions); and 0.864, 86.2%, and 86.6% in cohort 3 (170 lesions), respectively. However, HFUS is not suitable for evaluating lesions less than 0.1 mm in thickness or lesions exhibiting surface hyperkeratosis. Conclusion In a clinical setting, the integration of HFUS with clinical information exhibited good diagnostic performance in differentiating malignant and benign skin lesions. However, its utility was limited in evaluating extremely thin lesions and those exhibiting hyperkeratosis.

Objective:To evaluate the optimization strategy of anesthesia for laparoscopic nephrectomy in elderly patients using ultrasound-guided erector spinae plane block combined with total intravenous anesthesia.Methods:This was a prospective randomized controlled study. Seventy elderly patients, aged 60-80 yr, with a body mass index of 22-30 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅰ-Ⅲ, scheduled for elective/limited laparoscopic nephrectomy under total intravenous anesthesia in our hospital from April to October 2023, were divided into a total intravenous anesthesia group (TIVA group) and an ultrasound-guided erector spinae plane block combined with total intravenous anesthesia group (ESPB group) using a random number table method, with 35 cases in each group. Two groups used the same general anesthesia regimen. The ultrasound-guided erector spinae plane block was performed at the T 11 level after general anesthesia, and 0.3% ropivacaine 30 ml was injected after the successful puncture in ESPB group. The postoperative quality of recovery was assessed using the 15-item Quality-of-Recovery scale. The postoperative rescue analgesia and occurrence of adverse reactions were recorded. Results:Compared with TIVA group, the 15-item Quality-of-Recovery scale score was significantly increased, the rate of postoperative rescue analgesia was decreased, and the incidence of adverse reactions was decreased in ESPB group ( P<0.05). Conclusions:Ultrasound-guided erector spinae plane block combined with total intravenous anesthesia is beneficial for the postoperative outcomes of elderly patients undergoing laparoscopic nephrectomy.

Objective:To quantify the diagnostic index of probe-based confocal laser endomicroscopy (pCLE) for diagnosing Helicobacter pylori ( HP)-associated chronic atrophic gastritis (HpCAG), and to evaluate the efficacy of the quantified diagnostic index for HpCAG. Methods:The study was divided into two stages. The first stage prospectively included patients undergoing gastroscopy, endoscopic biopsy and 13C breath test from November 2021 to September 2022 at the Second Affiliated Hospital of Baotou Medical College. The capillary diameter (CD), cells spacing (CS), gland spacing (GS), and gland area (GA) in the pCLE field of offline video was measured with Image J. The diagnostic criteria of HpCAG by quantitative indicators under pCLE was established by analyzing the area under the receiver operating characteristic (ROC) curve (AUC). In the second stage, the cases with pCLE examination and 13C breath test at the Second Affiliated Hospital of Baotou Medical College from October 2021 to October 2022 were included. The cases that overlapped with the first stage were excluded. The trial was single-blind, with endoscopists and pathologists blind to each other's diagnoses. The diagnosis of pCLE was conducted according to the criteria obtained in the first stage, and the consistency between pCLE diagnosis and the results of histopathology and 13C breath test was analyzed. Results:The first stage enrolled 191 specimens from 35 patients. According to the pathological results of endoscopic biopsy and 13C breath test results, patients and gastric mucosa samples were divided into 4 groups, HP-positive CAG group ( n=59), HP-positive non-CAG group ( n=52), HP-negative CAG group ( n=40), and HP-negative non-CAG group ( n=40). ROC curve analysis results showed that in HP-positive patients, the optimal critical value of GS to distinguish between CAG and non-CAG gastric mucosa was 29.68 μm, and the AUC was the largest among the 4 parameters. In HP-negative patients, the optimal critical value of GS for distinguishing gastric mucosa from CAG and non-CAG was 23.57 μm, and the AUC was the largest among the 4 parameters. In patients with non-CAG, the optimal critical value for GS to distinguish HP-positive and HP-negative gastric mucosa was 20.57 μm, and the AUC was the largest among the 4 parameters. In patients with CAG, the optimal critical values of CD, CS, GS and GA to distinguish between HP-positive and HP-negative gastric mucosa were 13.23 μm, 1.38 μm, 34.03 μm and 6 066.5 μm 2, respectively, and the AUC were 0.608, 0.888, 0.849 and 0.900, respectively. Finally, GS was selected to distinguish between HpCAG and non-HpCAG gastric mucosa, and the optimal critical value was 31.71 μm. However, considering that it was difficult to measure the distance of 31.71 μm by the ruler below the image, the critical value was changed to 30 μm, so GS>30 μm was used as the diagnostic criteria for HpCAG in pCLE, and the diagnostic sensitivity and the specificity were 91.5% and 76.0%, respectively. In the second phase 224 specimens from 80 patients were observed. The sensitivity, the specificity, the positive predictive value, the negative predictive value and accuracy of pCLE (GS>30 μm) in the diagnosis of HpCAG were 96.5% (164/170), 88.9% (48/54), 96.5% (164/170), 88.9% (48/54) and 94.6% (212/224), respectively, with excellent diagnostic agreement with histopathology and 13C breath test (Kappa=0.854). Conclusion:The quantitative monitoring of gastric mucosal microstructure can be achieved under pCLE, and the quantifying indicators are helpful to improve the accuracy of HpCAG diagnosis.

Objective:To evaluate the performance of key performance indicator (KPI) lean teaching management system in clinical medical laboratory.Methods:Combining lean teaching management in universities with KPI system of enterprises, an innovative KPI lean teaching management system was developed and applied in Clinical Medical Laboratory of Guangdong Provincial People′s Hospital (GDPH). A total of 106 teachers, who had worked from January 2021 to December 2022 in GDPH, joined this study. Teachers were divided into 8 professional groups. Firstly, we quantified the teaching workload by class hours, evaluated the teaching outcomes base on national, provincial, school, and college levels to assign different teaching points, and linked the teaching KPI scores to the evaluation, salary, and professional title of teachers. Then, we analyzed the overall teaching points and teaching points for each professional group (2021-2022). Finally, we asked teaching managers, teachers, and colleagues to evaluate the KPI lean teaching management system and compared the effects before and after the implementation of this system.Results:Compared with 2021, the teaching scores of 106 teachers increased significantly from 1.0 (0.2, 2.7) to 3.8 (2.3, 6.0) in 2022 ( Z=8.1, P<0.01). The teaching scores of clinical molecules, clinical coagulation, clinical immunology, clinical microbiology, Huifu laboratory, and clinical biochemistry group were significantly higher in 2022 than the scores they got in 2021 (all P<0.05). Compared with 2021, there were 3 new set up of educational reform projects, 2 submitted teaching articles, 3 new competition awards, 7 outstanding teachers, and 5 outstanding students in 2022. After application of KPI lean teaching management, the evaluation scores of teaching work by teaching managers, teachers, and colleagues are all significantly improved ( P<0.05). Conclusion:KPI lean teaching management system could effectively enhance teachers′ work initiative, improve teaching efficiency and outcome, and promote the teaching quality. Therefore, based on the performance of KPI lean teaching management system in our study, it is possible to realize its potential in terms of lean management in clinical medical laboratory.