Objective: To compare the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) model, the Prophet model, and the Bayesian structural time series (BSTS) model in forecasting the incidence of hand, foot, and mouth disease (HFMD) , so as to provide a basis for optimizing the early warning system of this disease. Methods: Weekly incidence data of HFMD in Longgang District, Shenzhen City from 2014 to 2024 were collected. The HFMD incidence data from 2014-2019 and 2023 were used as the training set to construct SARIMA, Prophet, and BSTS models, while the data from 2024 were used as the test set to compare and evaluate the predictive performance of the three models. The technique for order preference by similarity to ideal solution (TOPSIS) method was employed to calculate the C-value. This approach integrates multiple evaluation metrics, such as the mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and symmetric mean absolute percentage error (SMAPE), to comprehensively assess model performance. Results: A total of 150 111 cases of HFMD were reported in Longgang District from 2014 to 2024, with an average annual incidence of 400.72/105. The weekly incidence fluctuated between 0 and 63.78/105, exhibiting a bimodal seasonal pattern characterized by a primary peak from May to July and a secondary peak from September to October. In the training set, all three models demonstrated a good fit to the bimodal epidemic trend of HFMD, with the BSTS model achieving the best fit. The BSTS model yielded performance metrics as follows: MAE=0.124, MSE=0.050, RMSE=0.223, SMAPE=0.021, and a C-value of 1.000. In the test set, all three models, including SARIMA, Prophet, and BSTS, performed well for short-term predictions (≤16 weeks), with the Prophet model showing relatively superior predictive performance. However, the prediction accuracy of all models declined as the forecast horizon extended. During the primary peak period (May-July), the Prophet model exhibited better predictive performance, whereas the BSTS model performed relatively better during the secondary peak period (September-October). Conclusions For the short-term forecasting of weekly HFMD incidence, the Prophet model outperformed both the SARIMA and BSTS models. During the primary peak period, the Prophet model demonstrated superior predictive performance, whereas the BSTS model exhibited better accuracy in forecasting the secondary peak period.

To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework.

OBJECTIVE: To develop a digital intelligent multimodal shift handover system for the intensive care unit (ICU) and evaluate its application effect in ICU shift handovers. METHODS: A research and development team was established, consisting of 1 department director, 1 head nurse, 3 information technology engineers, 3 nurses, and 2 doctors. Team members were assigned responsibilities including overall coordination and planning, platform design and maintenance, pre-application training, collection and organization of clinical feedback, and research investigation respectively. A digital intelligent multimodal shift handover system was developed for ICU based on the Shannon-Weaver linear transmission model. This innovative system integrated automated data collection, intelligent dynamic monitoring, multidimensional condition analysis and visual reporting functions. A cloud platform was used to gather data from multi-parameter vital signs monitors, infusion pumps, ventilators and other devices. Artificial intelligence algorithms were employed to standardize and analyze the data, providing personalized recommendations for healthcare professionals. A self-controlled before-after method was adopted. Before the application of the ICU digital intelligent multimodal shift handover system (from December 2023 to March 2024), the traditional verbal bedside handover was used; from June 2024 to March 2025, the ICU digital intelligent multimodal shift handover system was applied for shift handovers. Questionnaires before the application of the shift handover system were collected in April 2024, and those after the application were collected in April 2025. The shift handover time, handover quality (scored by the nursing handover evaluation scale), satisfaction with doctor-nurse communication (scored by the ICU doctor-nurse scale) before and after the application of the handover system were compared, and nurses' satisfaction with the shift handover system (scored by the clinical nursing information system effectiveness evaluation scale) was investigated. RESULTS: After the application of the ICU digital intelligent multimodal shift handover system, the shift handover time was significantly shorter than that before the application [minutes: 20 (15, 25) vs. 30 (22, 40)], the handover quality was significantly higher than that before the application [score: 84.0 (78.0, 88.5) vs. 71.0 (55.0, 79.0)], and the satisfaction with doctor-nurse communication was also significantly higher than that before the application (score: 84.58±6.79 vs. 74.50±11.30). All differences were statistically significant (all P < 0.05). In addition, the nurses' system effectiveness evaluation scale score was 102.30±10.56, which indicated that nurses had a very high level of satisfaction with the ICU digital intelligent multimodal shift handover system. CONCLUSIONS The application of the ICU digital intelligent multimodal shift handover system can shorten the shift handover time, improve the handover quality, and enhance the satisfaction with doctor-nurse communication. Nurses have a high level of satisfaction with this system.
Intensive Care Units ; Humans ; Patient Handoff ; Artificial Intelligence ; Algorithms

Background Sleep disturbances in children and adolescents have become a global public health concern,with pronounced issues in the Western China.Despite this,research on the prevalence of insomnia and its influencing factors among children and adolescents in Chongqing is still lacking.Objective To understand the prevalence of insomnia and analyze its influencing factors among children and adolescents in Chongqing,so as to provide references for clinical interventions and preventive strategies of insomnia.Methods A stratified random sampling method was used to select 9 969 children and adolescents in Chongqing from November to December 2021.Insomnia Severity Index(ISI)and a self-designed questionnaire on awareness of core mental health knowledge were administered.Binary Logistic regression analysis was used to identify the influencing factors of insomnia in this population.Results A total of 3 578 children and adolescents(35.89％)were found to have insomnia symptoms.There were statistically significant differences in the detection of insomnia symptoms among gender,ethnicity,education level,domicile,only-child status,parental education level,introversion/extroversion,parental relationship,average monthly per capita income,family history of mental illness,medical insurance coverage,living situation and understanding of mental health knowledge(P<0.05 or 0.01).Binary Logistic regression analysis identified several risk factors for insomnia,including female gender(OR=1.301,95％CI:1.192～1.419),ethnic minority status(OR=1.163,95％CI:1.015～1.333),junior high school for education level(OR=1.985,95％CI:1.774～2.220),senior high school for education level(OR=3.085,95％CI:2.749～3.462),non-only-child status(OR=1.127,95％CI:1.013～1.253),degree of harmony between parents is not high or not harmonious[(OR=1.846,95％CI:1.669～2.041 for relatively harmonious;OR=2.524,95％CI:2.214～2.877 for generally harmonious;OR=2.452,95％CI:1.999～3.007 for not very harmonious;OR=2.926,95％CI:2.307～3.710 for very discordant)]and incomplete medical insurance coverage(OR=1.218,95％CI:1.093～1.358).Protective factors included an extroverted personality(OR=0.838,95％CI:0.766～0.917),absence of family history of mental illness(OR=0.719,95％CI:0.549～0.941),junior high school for mother's education level(OR=0.822,95％CI:0.734～0.920),senior high school or secondary specialized school for mother's education level(OR=0.862,95％CI:0.752～0.988),college and above for mother's education level(OR=0.748,95％CI:0.633～0.884)and knowledge of mental health(OR=0.854,95％CI:0.778～0.937).Conclusion The problem of insomnia among children and adolescents in Chongqing is quite serious.Risk factors for insomnia include female gender,ethnic minority status,higher education levels,being a non-only child,poor family relationships and incomplete medical insurance.Conversely,an extroverted personality,absence of family history of mental illness,higher maternal education and knowledge of mental health serve as protective factors against insomnia.

Objective:To understand the epidemiology of rubella and the genetic characteristics of the virus circulating during the period 2021-2022, providing basic scientific data for rubella prevention and control in China.Methods:National rubella incidence data for the period 2021-2022 were obtained from the Infectious Disease Surveillance System module and the Surveillance Report Management module of the China′s Disease Prevention and Control Information System. Positive rubella virus(RuV)isolates were obtained from the National Measles/Rubella Laboratory Network. Two nucleotide (nt) fragments [F1-480 (8 633-9 112 nt) and F2-633 (8 945-9 577 nt)] located in the E1 gene were amplified and determined by reverse transcription polymerase chain reaction (RT-PCR), and the target gene (E1-739) was obtained after collating and splicing. The sequences obtained in this study were used to construct a phylogenetic tree with the reported reference strains for genotype and lineage identification. Additionally, the phylogenetic analysis was performed to assess their genetic relatedness of RuV strains prevalent in China during 2018-2020 from GenBank database.Results:In 2021-2022, the rubella incidence in China was 0.06/100, 000 (2021: 840 cases; 2022: 784 cases), with cases primarily concentrated in the western and southern provinces. Age distribution analysis showed that rubella cases in 2021-2022 was mainly in children under 5 years of age (2021: 34.17%, 287/840; 2022: 42.09%, 330/784), with the highest proportion in children aged 0-2 years. Further analysis of the immunization history of cases revealed that in the 8-23 months age group, a significant proportion of cases had received only one dose of rubella containing vaccine (RCV); cases in the 2-14 years age group were mainly among children who had received two or more doses of RCV; however, cases over 15 years of age were primarily found in individuals who had not received RCV or had unknown immunization history. National virological surveillance data showed that totally 22 RuV virus isolates were obtained, from 6 provinces in China during 2021-2022, which belonged to lineage 1E-L2 (11 strains) and 2B-L2c (11 strains). And these viruses displayed high genetic homology with RuV prevalent from 2018 to 2020.Conclusions:The incidence of rubella in China was maintained at a low level during 2021-2022, and the prevalent RuV strains were lineage 1E-L2 and 2B-L2c.

Background::Genetic variants of dopaminergic transcription factor-encoding genes are suggested to be Parkinson’s disease (PD) risk factors; however, no comprehensive analyses of these genes in patients with PD have been undertaken. Therefore, we aimed to genetically analyze 16 dopaminergic transcription factor genes in Chinese patients with PD.Methods::Whole-exome sequencing (WES) was performed using a Chinese cohort comprising 1917 unrelated patients with familial or sporadic early-onset PD and 1652 controls. Additionally, whole-genome sequencing (WGS) was performed using another Chinese cohort comprising 1962 unrelated patients with sporadic late-onset PD and 1279 controls.Results::We detected 308 rare and 208 rare protein-altering variants in the WES and WGS cohorts, respectively. Gene-based association analyses of rare variants suggested that MSX1 is enriched in sporadic late-onset PD. However, the significance did not pass the Bonferroni correction. Meanwhile, 72 and 1730 common variants were found in the WES and WGS cohorts, respectively. Unfortunately, single-variant logistic association analyses did not identify significant associations between common variants and PD. Conclusions::Variants of 16 typical dopaminergic transcription factors might not be major genetic risk factors for PD in Chinese patients. However, we highlight the complexity of PD and the need for extensive research elucidating its etiology.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To observe the therapeutic effect of intraocular lens (IOL) protected phacoemulsification (PHACO) in patients with hard nucleus cataract.Methods:A randomized controlled clinical study was conducted.A total of consecutive 120 patients (120 eyes) with hard nucleus cataract of Emery grade Ⅳ or Ⅴ were enrolled from January 2019 to May 2022.The patients were randomly divided into PHACO group receiving routine PHACO, IOL protected PHACO group receiving PHACO under IOL protection, and extracapsular cataract extraction (ECCE) group receiving ECCE, with 40 cases (40 eyes) in each group.Finally, 99 patients completed the follow-up, including 30 cases (30 eyes) in PHACO group, 35 cases (35 eyes) in IOL protected PHACO group, and 34 cases (34 eyes) in ECCE group.The total operation time, intraoperative PHACO time and cumulative energy release of each patient were recorded.The corneal endothelial cell density (ECD), coefficient of variation in endothelial cell area (CV), hexagonal endothelial cell ratio (6A), corneal astigmatism and the number of eyes with different grades of uncorrected visual acuity were measured and compared after 3-month follow-up.The intraoperative and postoperative complications were recorded.This study adhered to the Declaration of Helsinki and was approved by the Ethics Committee of Yanbian University Hospital (NO.2023002).Patients were informed of study content and purpose and signed a consent form before treatment.Results:There was no significant difference in ultrasonic energy and time between PHACO group and IOL protected PHACO group ( P=0.691, 0.982).The total operation time was (38.81±2.73) and (36.45±3.45) minutes in PHACO group and IOL protected PHACO group, significantly shorter than (69.60±4.35) minutes in ECCE group (both at P<0.001).There was no significant difference in age, sex, lens nucleus hardness and other baseline data among the three groups before operation (all at P>0.05).Three months after operation, the number of patients with higher uncorrected visual acuity in PHACO group and IOL protected PHACO group was larger than that in ECCE group ( P=0.006, 0.007).The ECD and 6A in IOL protected PHACO group were (2 155.57±177.88)/mm 2 and (41.31±5.18)%, respectively, which were significantly higher than (1 912.64±224.11)/mm 2 and (36.18±3.27)% in PHACO group, and the CV in IOL protected PHACO group was (50.34±5.90)%, which was lower than (55.67±3.30)% in PHACO group, showing statistically significant differences ( P=0.007, 0.003, 0.005).At 1 week and 3 months after the operation, the corneal astigmatism was significantly lower in IOL-protected PHACO group than in ECCE group, but higher than in PHACO group, and the difference were statistically significant (all at P<0.05). Conclusions:Compared with conventional PHACO, IOL-protected PHACO can effectively reduce the damage of corneal endothelium caused by ultrasonic energy, shorten the operation time and reduce postoperative inflammatory reaction compared with ECCE, and does not significantly increase postoperative corneal astigmatism.IOL-protected PHACO is an effective improved surgical method for patients with hard nucleus cataract.

Objective To evaluate the applicability of the comprehensive index method for assessing occupational health risks on chemical hazards in key work sites of a metal product enterprise. Methods A metal product enterprise in Beijing City was chosen as the research subject using the convenience sampling method. Occupational health investigations and chemical hazard monitoring were conducted at four work sites: grinding machine operation, welding, cutting, and painting. The comprehensive index method was used to determine the risk levels of chemical hazards. Results The grinding dust in the grinding machine operation work site was assessed as moderate risk. The nitrogen oxides and ozone in the welding (southeast) work sites were assessed as moderate risk. The nitrogen oxides ozone and welding fumes in the welding (northwest) and cutting work site were assessed as moderate risk. Benzene in the painting work site was assessed as moderate risk. All chemical hazards in other work sites were determined to pose low risks. Co-exposures to nitrogen oxides and ozone in the two welding work sites and cutting work site were classified as moderate risk. Co-exposure to ethylbenzene, xylene, methanol, ethyl acetate, and butyl acetate in the painting work site also posed moderate risk, while the co-exposure to toluene and methanol in the painting work site was assessed as low risk. Conclusion The comprehensive index method could be used for the occupational health risk assessment in the metal product enterprise. The enterprise should strengthen hazard control measures for exposure to grinding dust, welding fumes, nitrogen oxides, ozone, and benzene, and closely monitor the health risks associated with co-exposures of chemical hazards.