Objective To explore latent classes of behavioural and psychological symptoms in the patients with Alzheimer's disease(AD)and to identify the factors influencing the latent classes and provide a basis for fomulating personalized nursing measures.Methods Convenience sampling was employed to recruit 361 AD inpatients from our hospital between November 2023 and May 2024 for this cross-sectional study.A general data questionnaire,the neuropsychiatric inventory questionnaire,Monteria cognitive assessment scale,activity of daily life scale,and mini-nutritional assessment scale were used in the survey.Latent class analysis was conducted to analyse the data acquired from the survey.Univariate analysis and multiple Logistic regression analysis were used to identify the factors influencing latent classes.Results Toally 346 patients finished the study.It was found that a 72.5%of AD patients developed behavioural and psychological symptoms.The symptoms were categorised into three classes:low symptom-apathy,middle symptom-emotional disturbance and high symptom-behaviour disorder.The course of disease,cognitive function,daily living ability and nutritional status were identified as the factors that influenced the latent classes(all P<0.05).Conclusion AD patients with low cognitive function,poor daily living ability,malnutrition and a course of disease over 5 years are at high risks of behavioural and psychological symptoms which are heterogeneous.Care providers are advised to propose personalised care strategies to improve the behavioural and psychological symptoms.

Objective To analyze the status quo and high-risk factors of hemorrhagic transformation(HT)in patients with acute cerebral infarction(ACI)treated with alteplase(rt-PA).Methods A total of 462 patients with ACI who were admitted to Hai'an People's Hospital and treated with rt-PA from June 2019 to June 2023 were retrospectively emrolled.According to the occurrence of HT,the patients were assigned to HT group(n=31)or non-HT group(n=431).The clinical data of the two groups were compared,and high-risk factors of HT in ACI patients treated with rt-PA were analyzed.Results The incidence of HT was 6.71%(31/462).Multivariate logistic analysis showed that increased systolic blood pressure(SBP),severe cerebral small vessel disease(CSVD),and increased neutrophil-to-lymphocyte ratio(NLR)were the high-risk factors of HT in patients with ACI after treatment with rt-PA(P＜0.05).Conclusion There is a high incidence of HT in patients with ACI after treatment with rt-PA,the levels of SBP,CSVD and NLR are the influencing factors,and they can provide a basis for prediction and clinical intervention.

Objective To investigate the predictive value of preoperative systemic inflammatory response index(SIRI)combined with clinicopathological parameters for postoperative recurrence in cervical cancer and to construct a prognostic model in order to optimize recurrence risk assessment.Methods Patients with cervical cancer who underwent standard surgical treatment at the First Affiliated Hospital of Chongqing Medical University(training cohort,n=996)and Chongqing Maternal and Child Health Hospital(validation cohort,n=496)between January 2017 and January 2022 were retrospectively enrolled based on our strict inclusion and exclusion criteria.Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors for recurrence-free survival(RFS),and then a nomogram was constructed.Receiver operating characteristic(ROC)curve was plotted to assess the predictive performance of the model,and the area under the curve(AUC)and calibration curve were employed to evaluate the model.Kaplan-Meier survival analysis was performed to determine the clinical application.Results Cox regression analysis demonstrated that International Federation of Gynecology and Obstetrics(FIGO)stage(P<0.001),tumor size(P<0.001),pathological type(P<0.001),tumor grade(P=0.007),parametrial invasion(P<0.001),depth of myometrial invasion(P=0.019),lymphovascular space invasion(P=0.019),vaginal margin involvement(P=0.010),adjuvant therapy(P=0.012),and SIRI(P<0.001)were independent prognostic factors for RFS.Our nomogram model based on above prognostic factors exhibited superior predictive performance for 1-,3-,and 5-year RFS,with a significantly higher AUC value(0.886)than those of single-parameter models.Conclusion Our nomogram model demonstrated good accuracy in predicting RFS in cervical cancer patients,providing a potential tool for personalized clinical decision-making in recurrence risk management.

Objective To explore latent classes of behavioural and psychological symptoms in the patients with Alzheimer's disease(AD)and to identify the factors influencing the latent classes and provide a basis for fomulating personalized nursing measures.Methods Convenience sampling was employed to recruit 361 AD inpatients from our hospital between November 2023 and May 2024 for this cross-sectional study.A general data questionnaire,the neuropsychiatric inventory questionnaire,Monteria cognitive assessment scale,activity of daily life scale,and mini-nutritional assessment scale were used in the survey.Latent class analysis was conducted to analyse the data acquired from the survey.Univariate analysis and multiple Logistic regression analysis were used to identify the factors influencing latent classes.Results Toally 346 patients finished the study.It was found that a 72.5%of AD patients developed behavioural and psychological symptoms.The symptoms were categorised into three classes:low symptom-apathy,middle symptom-emotional disturbance and high symptom-behaviour disorder.The course of disease,cognitive function,daily living ability and nutritional status were identified as the factors that influenced the latent classes(all P<0.05).Conclusion AD patients with low cognitive function,poor daily living ability,malnutrition and a course of disease over 5 years are at high risks of behavioural and psychological symptoms which are heterogeneous.Care providers are advised to propose personalised care strategies to improve the behavioural and psychological symptoms.

Objective:To study the effects of the alternate rapid maxillary expansion and constriction(Alt-RAMEC)with maxillary protraction on different parts of upper airway by CBCT.Methods:20 Angle Class Ⅲ patients aged 9-12 years were included,and CBCT images were taken before treatment and after Alt-RAMEC with maxillary protraction,the total volume of the upper airway,the volume of each part of the nasopharynx,palatopharynx,linguopharynx and laryngopharynx,the cross-sectional area of the division in-terface,and the minimum cross-sectional area were measured after 3D reconstruction using Dolphin software,the data were analyzed using SPSS 26.0 software.Results:The total upper airway volume,nasopharyngeal volume,and palatopharyngeal volume were in-creased by the average of 1 385.39 mm3(P=0.013),546.74 mm3(P=0.011)and 768.03 mm3(P=0.035)respectively after Alt-RAMEC with maxillary protraction treatment;the area of the nasopharyngeal and palatopharyngeal division interface increased by 73.79 mm2(P=0.002),the cross-sectional diameter by 1.41 mm(P=0.037),and sagittal diameter by 1.52 mm(P=0.022)respectively;however,there was no statistically significant change in the volume,minimum cross-sectional area,partition area,and partition transverse and sagittal diameters of the linguopharynx and laryngopharynx(P＞0.05).Conclusion:Alt-RAMEC with maxil-lary protraction can significantly increase nasopharyngeal and palatopharyngeal volumes,with no significant effect on the linguopharyn-geal and laryngopharyngeal segments of the airway.

Objective:To investigate the expression and role of DEAD-box RNA helicases 5(DDX5 helicases)in head and neck squamous carcinoma(HNSCC).Methods:Tissue microarray microarray was used to assess relevant mRNA expression profile data,and R software was used to screen differential mRNAs(DEGs).The expression level of DDX5 was predicted using GEPIA 2,TCGA databases,and detected by immunohistochemistry,western blot and RT-qPCR in the HNSCC tissue and cell lines.Based on high-throughput sequencing data of DECs,differentially expressed miRNAs(DEMIs)relevant DDX5 competitive endogenous RNA network(ceRNA)was constructed.The software cytoscape was used to visualize the ceRNA network map and further screen the regulatory ax-is.Results:The results of microarray screening revealed that DDX5 expression in HNSCC was upregulated.Immunohistochemistry ver-ified that DDX5 was stronger expressed in the nuclei of squamous carcinoma cells.qPCR results suggested that significant expression of DDX5 mRNA at the tissue and cellular levels(P＜0.05).Western blot results showed high expression of DDX5 protein in the tissues.The ceRNA network was constructed,from which the relevant HNSCC axis circRNA-039626-miR-222-5p-DDX5 was identified.Con-clusion:DDX5 is highly expressed in HNSCC,and the circRNA-039626-miR-222-5p-DDX5 axis may be a potential regulatory axis for the development of HNSCC.

Objective:To investigate the correlation between macular cherry red spot (CS) and severity of neurological manifestations in Chinese children with sialidosis (SD) type I.Methods:A evidence-based medical study. "China", "Sialidosis" and "Sialidoses" were used as Chinese and English search terms. The literature was searched in CNKI, Wanfang and PubMed. The cases were all from China and matched the diagnostic criteria. According to the presence or absence of CS in the fundus, the SD children were divided into a group with CS (+) and a group without CS (-), and the correlation between the occurrence of ocular CS and neurological manifestations was compared with meta-analysis by RevMan 5.3 software.Results:Sixty-eight studies were initially retrieved according to the search strategy, and 17 studies were finally included, and 5 studies with CS+ and CS- were meta-analyzed. Among the 43 patients, 28 were male and 15 were female, with a median age of 12 years. Visual impairment was observed in 37 cases (90.2%, 37/41, 2 cases not recorded), and CS was present in 24 cases (55.8%, 24/43). The most common neurological manifestation was myoclonus (97.7%, 42/43), followed by cerebellar ataxia (95.1%, 39/41, 2 cases not recorded) and seizures (91.4%, 32/35, 8 cases not recorded). Pathogenic NEU1 gene mutations were detected in 42 cases and one case was undocumented. The incidence of seizure in group CS+ (100%, 20/20) was higher than that in group CS- (80%, 12/15). Meta-analysis showed that there was no statistically significant difference between the incidence of myoclonus or ataxia [relative risk ( RR)=1.13, 95% confidence interval ( CI) 0.79-1.63, P=0.49] and seizure ( RR=1.13, 95% CI 0.84-2.06, P=0.24) among the children in the CS+ and CS- groups. Conclusions:The incidence of ocular CS in Chinese children with type I SD was 55.8%. There was no correlation with neurological manifestations, however the incidence of seizure was significantly higher in patients with CS than in others without CS.

AIM: To evaluate the refractive status through computer refractometer and OPD-Scan III auto refractometer in cataract patients after extended depth of focus(EDOF)intraocular lens implantation.METHODS: Retrospective observational study. A total of 61 cases(76 eyes)that received phacomulsification and implanted with TECNIS® Symfony ZXR00 intraocular lens in Shanghai Eye Diseases Prevention & Treatment Center from May 2022 to May 2023 were collected. Measurements from the computer refractometer, OPD-Scan III auto refractometer, and subjective refraction, were taken from all patients on the same day postoperatively.RESULTS: There were statistical significant difference in sphere(S)and spherical equivalent(SE)readings from the computer refractometer and subjective refraction(all P<0.01), with mean differences of -0.67±0.37 D and -0.75±0.35 D, respectively, and the S and SE obtained from computer refractometer more incline to myopia than those from subjective refraction; there were statistical significant difference in computer refractometer and subjective refraction(P<0.01), with a relative small absolute difference(0.21±0.24 D). The S, cylinder(C)and SE of computer refractometer(S, C, SE)were positively correlated with subjective refraction(r=0.7994, 0.7929, and 0.8118, respectively, all P<0.01). Additionally, there were statistical significant differences in S, C and SE of OPD-Scan Ⅲ and subjective refraction(P<0.01), and the absolute differences of S(0.63±0.36 D), C(0.35±0.26 D)and SE(0.53±0.36 D)were small. Furthermore, the S, C and SE of OPD-Scan Ⅲ were positively correlated with subjective refraction(r=0.4410, 0.4982, 0.5224, all P<0.01).CONCLUSION: In patients who received implantation of EDOF lenses, the consistency of computer refractometer, OPD-Scan III auto refractometer and subjective refraction was good. The average difference of the S and SE obtained via computer refractometer was large, but both exhibited a myopic shift relative to those derived from subjective refraction, and the C values demonstrated minimal discrepancy. Furthermore, the differences between OPD-Scan III auto refractometer and subjective refraction were small, but the direction of the difference is unstable, sometimes it is myopic deviation, while sometimes it is hyperopic deviation.

Objective:To investigate the effect of problem-solving therapy (PST) on clinical efficacy, cognitive and social function in senile patients with first episode depression.Methods:From March 2020 to August 2021, a total of 86 patients with first onset elderly depression treated in the geriatric department of Qingdao Mental Health Center were selected. According to the random number table method, totally 86 patients were randomly divided into a study group and a control group, with 43 cases in each group. The control group was treated with antidepressant drugs and basic psychiatric nursing intervention. The study group received PST treatment on the basis of the control group for 8 weeks. The Hamilton depression scale-17 items(HAMD-17), Montreal cognitive assessment scale (MoCA), and social dysfunction screening scale (SDSS) were used to assess the degree of depression, cognitive function and social function in both groups. SPSS 18.0 was used for statistical analysis. Independent sample t-test was used for comparison between groups, paired sample t-test was used for comparison before and after treatment. Results:After 8 weeks of intervention, HAMD-17 scores and SDSS scores in the two groups were both significantly decreased compared with before intervention, and the differences between pre intervention and post intervention had statistical significance( t=3.067, 22.543, both P<0.05), while MoCA scores were significantly increased, and the difference between pre intervention and post intervention had statistical significance ( t=9.623, P<0.05). Compared with the control group after 8 weeks of intervention, the HAMD-17 score ((14.44±1.97), (15.58±2.66), t=2.260, P=0.026) and SDSS score((9.44±2.24), (13.00±1.73), t=8.242, P<0.001) of the study group were lower, and the score of MoCA ((25.44±1.28), (23.84±1.56), t=5.223, P<0.001) was higher. Conclusion:In addition to conventional antidepressant therapy, PST not only reduces the severity of depression in elderly patients with first episode depression, but also significantly improves their cognitive and social function.

Objective To construct a risk prediction model for ventilator-associated pneumonia(VAP)in trauma patients and evaluate its efficacy.Methods A single-center retrospective study was conducted,trauma patients admitted to the department of emergency intensive care unit(EICU)of Hebei Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine from January 1,2018 to January 1,2023 were selected as the study subjects,and the patients were divided into VAP group and non-VAP group.Differences between the two groups in variables including demographic characteristics,clinical data,and clinical scores.To prevent overfitting,differences between the groups were reduced using LASSO regression.Multifactor Logistic regression was used to identify risk factors for VAP in trauma patients and construct a risk prediction model.The model's discrimination was evaluated using the receiver operator characteristic curve(ROC curve)and area under the curve(AUC).The calibration curve was drawn and Hosmer-Lemeshow test were performed to evaluate the calibration degree of the model.Decision curve analysis(DCA)and clinical impact curve(CIC)were used to analyse the model's net benefit at different probability thresholds.Results A total of 888 trauma patients were included,among which 166 cases(18.7%)were diagnosed with VAP.Compared to the non-VAP group,the VAP group showed a significant increase in age,age-adjusted Charlson comorbidity index(aCCI)scores,white blood cell count(WBC),sequential organ failure assessment(SOFA)scores,length of ICU stay,and the proportion of patients with chest trauma,traumatic brain injury,and spinal cord injury.In contrast,hemoglobin(Hb),Glasgow coma scale(GCS)scores,and body mass index(BMI)were significantly lower in the VAP group(all P<0.05).Using LASSO regression,four variables were identified as important predictors for the occurrence of VAP in trauma patients:length of ICU stay,aCCI,WBC,and SOFA score.Multivariate Logistic regression showed that length of ICU stay[odds ratio(OR)and 95%confidence interval(95%CI)was 1.094(1.070-1.117)],aCCI[OR(95%CI)was 1.135(1.065-1.210)],WBC[OR(95%CI)was 1.139(1.104-1.176)],and SOFA score[OR(95%CI)was 1.137(1.080-1.197)]were independent risk factors for the occurrence of VAP in trauma patients(all P<0.05).Based on these influencing factors,a predictive model for VAP occurrence was constructed.ROC curve analysis showed that the AUC for predicting VAP occurrence in trauma patients was 0.876,with a 95%CI was 0.850-0.903,a sensitivity of 86.14%,and a specificity of 75.17%,indicating that the model has a high discriminative ability.Hosmer-Lemeshow test:χ2=7.7,P=0.2,Cox&Snell R2=0.236,Nagelkerke R2=0.387,the calibration curve was very close to the diagonal,and the mean absolute error(MAE)=0.03,indicating the model's predictions were highly consistent with actual clinical observations.The DCA and CIC curves indicate that within the threshold probability of<70%,using this model to identify high-risk groups for VAP in trauma patients and making clinical decisions can provide benefits in clinical practice.Conclusion The risk prediction model of VAP in trauma patients constructed in this study has high discrimination and calibration,which can provide reference for medical personnel to identify high-risk groups of VAP among trauma patients at an early stage and provide targeted intervention measures.