Objective To investigate the impact of holiday effects and prevention/control measures on the development characteristics and incidence trends of influenza in Hefei City using a Prophet-LSTM hybrid model, and to validate the applicability of the Prophet-LSTM model in influenza prediction by comparing the performance of different forecasting models. Methods Influenza incidence data from Hefei City (2016–2024) were collected to construct a Prophet-LSTM feature analysis and prediction model to analyze the impact of holiday effects and intervention measures on influenza incidence trends. Comparative models (ARIMA, GRU, and TimeGPT) were established and evaluated on the same test set. Results The data analysis revealed significantly increased influenza incidence during holidays (e.g., New Year's Day, Spring Festival, and National Day), while prevention and control measures led to declining trends. The Prophet-LSTM model demonstrated high consistency between the predicted and actual values, outperforming the comparative models with superior MAE (0.209), MSE (0.195), and IA (0.914), indicating higher prediction accuracy and trend-fitting capability. Conclusion The Prophet-LSTM model effectively captures spatiotemporal characteristics of influenza incidence, exhibits enhanced predictive performance when incorporating holiday effects and intervention measures, and demonstrates significant advantages and application value in influenza forecasting.

Objective To develop a nomogram-based predictive model for assessing the risk of respiratory distress syndrome(RDS)in premature infants in the high-altitude region of Dali.The predictive performance and clinical applicability of the model will be systematically evaluated to provide evidence-based guidance for the early diagnosis and clinical management of respiratory distress in premature infants.Methods A total of 680 preterm infants admitted to the Dali Maternal and Child Health Hospital between January 2020 and December 2024 were enrolled in the study and randomly divided into a training set(n=476)and a validation set(n=204)at a ratio of 7∶3.Independent predictors were identified through univariate logistic regression and multivariate stepwise regression analyses,and a nomogram model was subsequently developed using R software.The performance of the model,including its discrimination,calibration,stability,and clinical applicability,was evaluated using the receiver operating characteristic curve(ROC),Hosmer-Lemeshow goodness-of-fit test,bootstrap resampling method,and decision curve analysis(DCA).Results The final model incorporated seven independent variables:gestational age,birth weight,Apgar score,blood oxygen saturation,gestational hyperglycemia,prenatal glucocor-ticoid therapy,and maternal history of infection.The areas under the curve(AUCs)for the training and validation sets were 0.88(95%CI:0.84～0.92)and 0.83(95%CI:0.76～0.89),respectively,with all Hosmer-Lemeshow test p-values exceeding 0.05.The bootstrap-corrected AUC was 0.85(95%CI:0.81～0.89).DCA indicated that the model achieved the highest net benefit at a risk threshold range of 10%to 35%.Conclusions This model integrates multiple risk factors associated with the occurrence of RDS in plateau environments,demonstrating robust predictive performance for RDS in preterm infants residing in high-altitude areas such as Dali.It can serve as a valuable tool for risk stratification and clinical decision-making,and may also provide a reference for future multicenter prospective studies.

Objective To develop a nomogram-based predictive model for assessing the risk of respiratory distress syndrome(RDS)in premature infants in the high-altitude region of Dali.The predictive performance and clinical applicability of the model will be systematically evaluated to provide evidence-based guidance for the early diagnosis and clinical management of respiratory distress in premature infants.Methods A total of 680 preterm infants admitted to the Dali Maternal and Child Health Hospital between January 2020 and December 2024 were enrolled in the study and randomly divided into a training set(n=476)and a validation set(n=204)at a ratio of 7∶3.Independent predictors were identified through univariate logistic regression and multivariate stepwise regression analyses,and a nomogram model was subsequently developed using R software.The performance of the model,including its discrimination,calibration,stability,and clinical applicability,was evaluated using the receiver operating characteristic curve(ROC),Hosmer-Lemeshow goodness-of-fit test,bootstrap resampling method,and decision curve analysis(DCA).Results The final model incorporated seven independent variables:gestational age,birth weight,Apgar score,blood oxygen saturation,gestational hyperglycemia,prenatal glucocor-ticoid therapy,and maternal history of infection.The areas under the curve(AUCs)for the training and validation sets were 0.88(95%CI:0.84～0.92)and 0.83(95%CI:0.76～0.89),respectively,with all Hosmer-Lemeshow test p-values exceeding 0.05.The bootstrap-corrected AUC was 0.85(95%CI:0.81～0.89).DCA indicated that the model achieved the highest net benefit at a risk threshold range of 10%to 35%.Conclusions This model integrates multiple risk factors associated with the occurrence of RDS in plateau environments,demonstrating robust predictive performance for RDS in preterm infants residing in high-altitude areas such as Dali.It can serve as a valuable tool for risk stratification and clinical decision-making,and may also provide a reference for future multicenter prospective studies.

Objective:Bioinformatics was used to analyze the gene expression profile of renal chromophobe cell carcinoma (RCCC) to find out the key genes of RCCC.Methods:Chromophobe renal cell carcinoma gene chip data GSE15641 and GSE11151 were downloaded from the GEO database. Using R software packages such as " Affy" and " limma" in R software to screen differentially expressed genes, combining with David and STRING online bioinformatics tools to analyze the regulatory network of differentially expressed genes and construct protein-protein interaction (PPI) network, the Hub gene was screened through the Cytohubba plug-in of Cytoscape software.Results:A total of 261 differentially expressed genes were screened, including 194 down-regulated genes and 67 up-regulated genes. Gene enrichment (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed to explore their biological functions. In GO enrichment analysis, biological processes were mainly enriched in cell secretion, gluconeogenesis and cell proliferation regulation; in cell composition, they were mainly enriched in exosomes, plasma membranes and their components; in molecular function, they were mainly enriched in heparin binding; in KEGG pathway analysis, they were mainly enriched in metabolic pathway, antibody biosynthesis pathway and renin angiotensin system pathway. PPI network was constructed by using online bioinformatics tools. The top 10 Hub genes were screened by using cytohubba plug-in in Cytoscape software, which were pipecolic acid and sarcosine oxidase (PIPOX), hydroxyacid oxidase 2 (HAO2), kynurenine 3-monooxygenase (KMO), solute carrier family 2 member 2 (SLC2A2), formimidoyltransferase cyclodeaminase (FTCD), angiogenin (ANG), APOBEC1 complementation factor (A1CF), aldehyde dehydrogenase 8 family member A1 (ALDH8A1), vitamin D binding protein (GC), histidine rich glycoprotein (HRG).Conclusions:Bioinformatics analysis of differentially expressed genes in renal chromophobe cell carcinoma can effectively explore the interaction information of these differentially expressed genes, and provide new ideas for the treatment of renal chromophobe cell carcinoma.

Objective To explore the necessities and clinical value of acute intestinal obstruction with com-puted tomography of whole abdomen in over 80 years old patients.Methods 50 patients with acute intestinal obstruc-tion were diagnosed in department of emergency surgery and underwent the abdominal CT examinations.The clinical data,CT and surgery pathology of all patients were compared and analyzed.Results All cases were verified by surgi-cal operation and pathological diagnosis,including colorectal cancer(n =21)and incarcerated abdominal external her-nia(n =21),appendicitis(n =2),adhesive intestinal obstruction(n =2),intestinal volvulus (n =2),and intestinal intussusception(n =1)and stercoral intestinal obstruction(n =1),12 cases were accompanied by bowel necrosis and perforation.12 patients were treated by laparoscope surgery,38 cases by open laparotomy,48 patients acquired good recovery,and 2 cases died from extensive bowel necrosis and multi -organ failure.Conclusion CT examination in whole abdomen could rapidly and accurately diagnose the cause of intestinal obstruction,evaluate complications and risks,so as to provide reasonable treatment choice and time,making patients acquired the effective effects as soon as possible,reducing the bad consequences.

Objective To evaluate the correlation between the degree of cochlea endolymphatic hydrops(EH) and hearing loss and symptoms in patients with unilateral Meniere's disease. Methods Fifty seven patients with unilateral Meniere's patients were retrospectively quantitatively analyzed, which evaluated the correlation between the cochlea EH and hearing loss and symptoms. The affected ears in the experimental group(57 ears) and the asymptomatic ears in the control group(57 ears), were confirmed by bilateral intratympanic Gd-DTPA injection and 3D real IR MRI scan after 24 h. The maximum length of endolymph space and labyrinth chamber along the modiolus cochleae and their ratio which represented the endolymph space proportion of each turn(R1, the basal turn;R2, the middle turn;R3, the apical turn) were calculated. And the paired t test was used to compare the differences in EH degree between the experimental and control group;Pearson correlation analysis was used to analyze the correlation between the cochlea EH degree and hearing loss and duration of symptoms. Results R1, R1 and R3 of ipsilateral cochlea were higher than normal cochlea(ipsilateral R1:0.354±0.097 vs. normal R1:0.185±0.031, P<0.01;ipsilateral R2:0.445 ± 0.098 vs. normal R2:0.201 ± 0.046, P<0.01;ipsilateral R3:0.467 ± 0.102 vs. normal R3:0.221 ± 0.053, P<0.01). A positive correlation was found between the degree of EH in each turn and high-frequency hearing loss(r=0.275, 0.281, 0.329, respectively;all P<0.05), whereas no correlation was found between the extent of EH and the time of vertigo, tinnitus and hearing loss(P>0.05). In addition, there was a correlation between the degree of EH in the apical turn and low, medium, high-frequency hearing loss(r=0.271, 0.269, 0.329, respectively; all P<0.05). Conclusions The degree of cochlea EH in the basal and second turn showed great relevance with the high-frequency hearing loss, and the apical turn EH degree was relevant with the low, medium, high-frequency hearing loss, but there was no correlation between the EH degree of each turn, ages and symptoms.

Objective To explore the possible pathway and regulatory mechanism of dermal fibroblasts' transdifferentiation into myofibroblasts induced by estrogen. Methods Human dermal fibroblasts were divided into six groups (A: control; B: estrogen; C: estrogen + ICI-182780; D: estrogen + SB203580; E: estrogen + PD98059; F: estrogen + SP600125). The cells were collected for RNA extraction and the expression of α-SMA was detected by real time quantitative RT-PCR. Some cells were analyzed by single cell RT-PCR to detect positive expression percentage of α-SMA.Results The expression and positive rate of α-SMA in estrogen group were significantly increased (Group B vs. Group A, 7. 385±0. 246 vs 1. 367±0. 034, P＜0.01) and those in ICI-182780 group and SP600125 group were significantly inhibited (Groups C and F vs. Group B, 4. 619 ±0. 164,2. 409±0. 091 vs 7. 385±0. 246, P＜0. 05). Conclusions In the process of fibroblast transdifferentiation into myofibroblasts induced by estrogen, estrogen β receptor and JNK-MAPK signal transduction pathway may play an important role.

Objective To observe the expression of both type 1 (AT1) and type 2 (AT2) receptors of angiotensin Ⅱ (AngⅡ) in human hypertrophic scars, and to explore theirs role in collagen synthesis of fibroblasts in human hypertrophic scars. Methods The expression of both AT1 and AT2 receptors in fibroblasts of hypertrophic scars was detected with immunohistochemical staining and radioligand receptor binding assay. Collagen synthesis was examined in cultured in vitro fibroblasts of hypertrophic scars by measuring [~3H]proline incorporation into collagenous proteins. Results Positive staining signals of both AT1 and AT2 receptors were found in fibroblasts of hypertrophic scars. Similar results were also got in cultured in vitro fibroblasts of hypertrophic scars, expression level of AT1 and AT2 receptors were 10.69?2.15fmol/10~6cells and 4.9?1.05fmol/10~6cells respectively. In cultured in vitro fibroblasts, AngⅡ may accelerate the collagen synthesis significantly (P