Objective To construct and validate a predictive model for influencing factors of serum uric acid(SUA)in preeclampsia(PE),providing a scientific basis for early identification and intervention.Methods This study collects 19 variables from 171 PE preg-nant women admitted to the Department of Obstetrics at Bengbu Third People's Hospital between March 1,2021 to June 30,2024 inclu-ding hospitalization number,age,height,weight,urine protein,gestational week,SUA,oral glucose tolerance test(OGTT),alanine aminotransferase(ALT),hemoglobin(HB),albumin(ALB),aspartate aminotransferase(AST),serum creatinine(SCR),triglycer-ides(TG),total cholesterol(TC),serum urea(SUR),low-density lipoprotein cholesterol(LDL),high-density lipoprotein choles-terol(HDL),and D-dimer(D2D).According to the expression level of SUA,the important variables affecting SUA were screened by LASSO,multi-factor Logistic and neural network model,and the nomogram prediction model was constructed.The predictive perform-ance and clinical utility of the model were validated using the receiver operating characteristic(ROC)curve,decision curve analysis(DCA),and calibration curve.Results Three variables-ALB(OR=0.893,95％CI:0.808-0.986),AST(OR=4.292,95％CI:2.043-9.016)and SCR(OR=4.2,95％CI:1.495-11.801)-were identified as significant influencing factors of SUA in PE pregnant women through LASSO,multivariate Logistic regression,and neural network models.A nomogram prediction model for SUA was success-fully established,achieving an ROC value of 0.7646.The net benefit range of DCA was 20％-100％,and the calibration curve showed high consistency with the ideal curve.Conclusion ALB,AST,and SCR are critical variables influencing SUA in PE pregnant women,offering a scientific basis for early prediction and intervention.

Objective To construct and validate a predictive model for influencing factors of serum uric acid(SUA)in preeclampsia(PE),providing a scientific basis for early identification and intervention.Methods This study collects 19 variables from 171 PE preg-nant women admitted to the Department of Obstetrics at Bengbu Third People's Hospital between March 1,2021 to June 30,2024 inclu-ding hospitalization number,age,height,weight,urine protein,gestational week,SUA,oral glucose tolerance test(OGTT),alanine aminotransferase(ALT),hemoglobin(HB),albumin(ALB),aspartate aminotransferase(AST),serum creatinine(SCR),triglycer-ides(TG),total cholesterol(TC),serum urea(SUR),low-density lipoprotein cholesterol(LDL),high-density lipoprotein choles-terol(HDL),and D-dimer(D2D).According to the expression level of SUA,the important variables affecting SUA were screened by LASSO,multi-factor Logistic and neural network model,and the nomogram prediction model was constructed.The predictive perform-ance and clinical utility of the model were validated using the receiver operating characteristic(ROC)curve,decision curve analysis(DCA),and calibration curve.Results Three variables-ALB(OR=0.893,95％CI:0.808-0.986),AST(OR=4.292,95％CI:2.043-9.016)and SCR(OR=4.2,95％CI:1.495-11.801)-were identified as significant influencing factors of SUA in PE pregnant women through LASSO,multivariate Logistic regression,and neural network models.A nomogram prediction model for SUA was success-fully established,achieving an ROC value of 0.7646.The net benefit range of DCA was 20％-100％,and the calibration curve showed high consistency with the ideal curve.Conclusion ALB,AST,and SCR are critical variables influencing SUA in PE pregnant women,offering a scientific basis for early prediction and intervention.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Autism spectrum disorder(ASD),characterized by unknown etiology and high heterogeneity,ne-cessitates precise diagnostic and intervention strategies.Neuroimaging techniques have shown great promise in un-covering the neural mechanisms of ASD,providing a foundation for aided diagnosis and transcranial magnetic stim-ulation(TMS)interventions.This review highlights that integrating multimodal neuroimaging and developing indi-vidualized indices with developmental specificity can significantly improve the accuracy of ASD diagnosis and clas-sification.Furthermore,TMS interventions guided by functional connectivity derived from functional magnetic reso-nance imaging(fMRI)offer a personalized approach to ASD treatment.

Objective:To explore the current status and influencing factors of non-verbal communication needs in mechanically ventilated patients in ICU using an interpretive sequential mixed research design to inform the future development of targeted non-verbal communication strategies for mechanically ventilated patients in the ICU.Methods:Convenience sampling was used to select 262 mechanically ventilated patients from the general ICUs of two Class Ⅲ Grade A hospitals in Shanghai, from January to June 2023 for the study. Patients were surveyed using the General Information Questionnaire and the Surgical ICU Tracheal Intubation Patient Communication Needs Scale. Multiple linear regression was used to analyze the factors influencing the non-verbal communication needs of mechanically ventilated patients in the ICU. A total of 262 questionnaires were distributed in the quantitative study, and 256 valid questionnaires were recovered, with a valid recovery rate of 97.71% (256/262) . Purposive sampling was used to select 16 ICU mechanically ventilated patients for semi-structured in-depth interviews. The information was analyzed using the Colaizzi 7-step analysis method.Results:In 256 mechanically ventilated patients, the total non-verbal communication needs score was (144.33±12.82) , and the items average scores of physiological needs, safety needs, love and belongingness needs, and self-esteem needs were (3.39±1.83) , (3.35±0.98) , (3.32±1.21) , and (3.29±1.32) , respectively. Multiple linear regression analysis showed that the duration of mechanical ventilation, history of intubation, and education level were the factors influencing the non-verbal communication needs of mechanically ventilated patients in the ICU ( P<0.05) . Five themes were distilled from the qualitative study, including communication needs for shared decision-making about disease trajectories, communication needs for accurate management of disease symptoms, communication needs for psychological stress adjustment, communication needs for social system support, and communication needs for dignity preservation. Integrating and analyzing the quantitative and qualitative results revealed that they complemented each other in explaining and validating ideas in elaborating the current status and intrinsic relationship of non-verbal communication needs of mechanically ventilated patients in ICU. Conclusions:The non-verbal communication needs of mechanically ventilated patients in the ICU are prevalent and influenced by a variety of factors. It is recommended that hospital administrators construct an effective non-verbal communication support system based on the status quo of patients' non-verbal communication needs in order to promote the whole process and multidimensional health management services for ICU mechanically ventilated patients and to improve patients' quality of life.

Objective:To investigate the clinical characteristics of patients with high-myopia macular hole retinal detachment (MHRD) combined with choroidal detachment and to preliminarily analyze factors associated with postoperative hole closure.Methods:A retrospective clinical case series study. A total of 68 patients with high myopia (68 eyes) with MHRD diagnosed by Department of Ophthalmology, Peking University People’s Hospital from January 2019 to April 2024 were included in this study. Among them, there were 14 males (14 eyes) and 54 females (54 eyes). The mean age was (61.10±9.66) years. All eyes were treated with pars plana vitrectomy (PPV) combined with silicone oil or gas filling. Best corrected visual acuity (BCVA), intraocular pressure, and B-mode ultrasonography were performed. The BCVA test was performed using the Snellen visual acuity chart, which was statistically converted to logarithm of the minimum angle of resolution (logMAR) visual acuity. The range of choroidal detachment was defined according to the number of involved quadrants observed in B-mode ultrasound or surgery, which was divided into 1 to 4 quadrants. Axial length (AL) was measured under retinal reattachment. In 68 eyes, there were 17 eyes with choroidal detachment and 51 eyes without choroidal detachment, respectively. There were 17 eyes with choroidal detachment, and the detachment range involved 1, 2, 2 and 12 eyes in 1, 2, 3 and 4 quadrants, respectively. During operation, 13% C 3F 8 was filled in 2 eyes, all of which were not complicated with choroidal detachment. 66 eyes were filled with silicone oil. According to whether the patients were complicated with choroidal detachment, the patients were divided into the group without choroidal detachment and the group with choroidal detachment. Independent sample t test, Welch two-sample t test or Mann-Whitney U test were used for comparison between groups. Generalized linear regression and logistic regression were used to analyze the relationship between the aperture size of postoperative unclosed holes and the closed hole after surgery and clinical factors. Results:At 3 months after surgery, the logMAR BCVA of the affected eye was 1.29±0.43, with a preoperative to postoperative difference ranging from -1.60 to 0.70 (-0.51±0.51) logMAR units. The AL ranged from 26.6 to 34.3 (29.60±2.12) mm. Among 68 eyes, macular hole of 37 (54.4%, 37/68) eyes were open and 31 (45.6%, 31/68) eyes were closed, respectively. The hole diameter of the open eye was (753±424) μm. There was no significant difference in age, course of disease and AL between the two groups ( W=412.0, 477.5, 427.0; P>0.05). Before operation, BCVA in patients with choroidal detachment was worse ( W=257.5) and intraocular pressure was lower ( t=4.051) in patients with choroidal detachment compared with those without choroidal detachment, with statistical significance ( P<0.05). At 3 months after surgery, BCVA in patients with choroidal detachment was significantly worse than that in patients without choroidal detachment, with statistical significance ( W=284.0, P<0.05). There were no significant differences in logMAR BCVA difference ( t=0.616) and macular hole closure rate ( χ 2=0.000) before and after surgery ( P>0.05). The reoperation rate of retinal detachment due to persistent or recurrent retinal detachment was significantly higher in the group with choroid detachment than in the group without choroid detachment, and the difference was statistically significant (odds ratio=6.424, P<0.05). Logistic regression analysis showed that young age was significantly correlated with macular hole closure failure after surgery ( β=0.077, P=0.015). There was no correlation between AL, duration of disease, BCVA before surgery, intraocular pressure, wether combined with choroid detachment range and postoperative hole closure ( β=-0.072, 0.000, 0.672, -0.085, -0.391; P>0.05). Conclusions:Concomitant choroidal detachment adversely affected on both pre-operative and post-operative visual acuity in high myopia MHRD. It is closely associated with the risk of recurrent retinal detachment and the needs of multiple operations, but has no significant effect on hole closure rate. Lower age of onset may be a risk factor for macular hole closure.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Autism spectrum disorder(ASD),characterized by unknown etiology and high heterogeneity,ne-cessitates precise diagnostic and intervention strategies.Neuroimaging techniques have shown great promise in un-covering the neural mechanisms of ASD,providing a foundation for aided diagnosis and transcranial magnetic stim-ulation(TMS)interventions.This review highlights that integrating multimodal neuroimaging and developing indi-vidualized indices with developmental specificity can significantly improve the accuracy of ASD diagnosis and clas-sification.Furthermore,TMS interventions guided by functional connectivity derived from functional magnetic reso-nance imaging(fMRI)offer a personalized approach to ASD treatment.

Objective:To explore the current status and influencing factors of non-verbal communication needs in mechanically ventilated patients in ICU using an interpretive sequential mixed research design to inform the future development of targeted non-verbal communication strategies for mechanically ventilated patients in the ICU.Methods:Convenience sampling was used to select 262 mechanically ventilated patients from the general ICUs of two Class Ⅲ Grade A hospitals in Shanghai, from January to June 2023 for the study. Patients were surveyed using the General Information Questionnaire and the Surgical ICU Tracheal Intubation Patient Communication Needs Scale. Multiple linear regression was used to analyze the factors influencing the non-verbal communication needs of mechanically ventilated patients in the ICU. A total of 262 questionnaires were distributed in the quantitative study, and 256 valid questionnaires were recovered, with a valid recovery rate of 97.71% (256/262) . Purposive sampling was used to select 16 ICU mechanically ventilated patients for semi-structured in-depth interviews. The information was analyzed using the Colaizzi 7-step analysis method.Results:In 256 mechanically ventilated patients, the total non-verbal communication needs score was (144.33±12.82) , and the items average scores of physiological needs, safety needs, love and belongingness needs, and self-esteem needs were (3.39±1.83) , (3.35±0.98) , (3.32±1.21) , and (3.29±1.32) , respectively. Multiple linear regression analysis showed that the duration of mechanical ventilation, history of intubation, and education level were the factors influencing the non-verbal communication needs of mechanically ventilated patients in the ICU ( P<0.05) . Five themes were distilled from the qualitative study, including communication needs for shared decision-making about disease trajectories, communication needs for accurate management of disease symptoms, communication needs for psychological stress adjustment, communication needs for social system support, and communication needs for dignity preservation. Integrating and analyzing the quantitative and qualitative results revealed that they complemented each other in explaining and validating ideas in elaborating the current status and intrinsic relationship of non-verbal communication needs of mechanically ventilated patients in ICU. Conclusions:The non-verbal communication needs of mechanically ventilated patients in the ICU are prevalent and influenced by a variety of factors. It is recommended that hospital administrators construct an effective non-verbal communication support system based on the status quo of patients' non-verbal communication needs in order to promote the whole process and multidimensional health management services for ICU mechanically ventilated patients and to improve patients' quality of life.

Objective:To investigate the clinical characteristics of patients with high-myopia macular hole retinal detachment (MHRD) combined with choroidal detachment and to preliminarily analyze factors associated with postoperative hole closure.Methods:A retrospective clinical case series study. A total of 68 patients with high myopia (68 eyes) with MHRD diagnosed by Department of Ophthalmology, Peking University People’s Hospital from January 2019 to April 2024 were included in this study. Among them, there were 14 males (14 eyes) and 54 females (54 eyes). The mean age was (61.10±9.66) years. All eyes were treated with pars plana vitrectomy (PPV) combined with silicone oil or gas filling. Best corrected visual acuity (BCVA), intraocular pressure, and B-mode ultrasonography were performed. The BCVA test was performed using the Snellen visual acuity chart, which was statistically converted to logarithm of the minimum angle of resolution (logMAR) visual acuity. The range of choroidal detachment was defined according to the number of involved quadrants observed in B-mode ultrasound or surgery, which was divided into 1 to 4 quadrants. Axial length (AL) was measured under retinal reattachment. In 68 eyes, there were 17 eyes with choroidal detachment and 51 eyes without choroidal detachment, respectively. There were 17 eyes with choroidal detachment, and the detachment range involved 1, 2, 2 and 12 eyes in 1, 2, 3 and 4 quadrants, respectively. During operation, 13% C 3F 8 was filled in 2 eyes, all of which were not complicated with choroidal detachment. 66 eyes were filled with silicone oil. According to whether the patients were complicated with choroidal detachment, the patients were divided into the group without choroidal detachment and the group with choroidal detachment. Independent sample t test, Welch two-sample t test or Mann-Whitney U test were used for comparison between groups. Generalized linear regression and logistic regression were used to analyze the relationship between the aperture size of postoperative unclosed holes and the closed hole after surgery and clinical factors. Results:At 3 months after surgery, the logMAR BCVA of the affected eye was 1.29±0.43, with a preoperative to postoperative difference ranging from -1.60 to 0.70 (-0.51±0.51) logMAR units. The AL ranged from 26.6 to 34.3 (29.60±2.12) mm. Among 68 eyes, macular hole of 37 (54.4%, 37/68) eyes were open and 31 (45.6%, 31/68) eyes were closed, respectively. The hole diameter of the open eye was (753±424) μm. There was no significant difference in age, course of disease and AL between the two groups ( W=412.0, 477.5, 427.0; P>0.05). Before operation, BCVA in patients with choroidal detachment was worse ( W=257.5) and intraocular pressure was lower ( t=4.051) in patients with choroidal detachment compared with those without choroidal detachment, with statistical significance ( P<0.05). At 3 months after surgery, BCVA in patients with choroidal detachment was significantly worse than that in patients without choroidal detachment, with statistical significance ( W=284.0, P<0.05). There were no significant differences in logMAR BCVA difference ( t=0.616) and macular hole closure rate ( χ 2=0.000) before and after surgery ( P>0.05). The reoperation rate of retinal detachment due to persistent or recurrent retinal detachment was significantly higher in the group with choroid detachment than in the group without choroid detachment, and the difference was statistically significant (odds ratio=6.424, P<0.05). Logistic regression analysis showed that young age was significantly correlated with macular hole closure failure after surgery ( β=0.077, P=0.015). There was no correlation between AL, duration of disease, BCVA before surgery, intraocular pressure, wether combined with choroid detachment range and postoperative hole closure ( β=-0.072, 0.000, 0.672, -0.085, -0.391; P>0.05). Conclusions:Concomitant choroidal detachment adversely affected on both pre-operative and post-operative visual acuity in high myopia MHRD. It is closely associated with the risk of recurrent retinal detachment and the needs of multiple operations, but has no significant effect on hole closure rate. Lower age of onset may be a risk factor for macular hole closure.