ObjectiveTo investigate the application value of a machine learning model based on preoperative clinical indicators in predicting the risk of hypoalbuminemia after partial hepatectomy. MethodsA retrospective analysis was performed for the clinical data of 700 patients who underwent partial hepatectomy in Nanfang Hospital， Southern Medical University， from January 2018 to January 2023， including demographic data， history of underlying diseases， tumor characteristics， preoperative laboratory markers， and perioperative indicators. The research data were divided into a training set and a test set at a ratio of 7∶3. The two-independent-samples t test was used for comparison of normally distributed continuous data between two groups； the two-independent-samples Wilcoxon rank-sum test was used for comparison of continuous data with skewed distribution between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. The least absolute shrinkage and selection operator （LASSO） regression analysis was used to identify characteristic variables， and 7 machine learning algorithms were used to construct predictive models， i.e.， logistic regression， decision tree， artificial neural network， K-nearest neighbors （KNN）， support vector machine， eXtreme gradient boosting， and light gradient boosting machine. The receiver operating characteristic （ROC） curve and the area under the ROC curve （AUC） were used to assess the discriminatory ability of models， and the DeLong test was used for comparison of AUC. The calibration curve and decision curve analysis were used to assess the calibration and clinical practicability of models， and the models were compared with albumin-bilirubin （ALBI） score and Model for End-Stage Liver Disease （MELD） score. SHapley Additive exPlanations （SHAP） were used to interpret the key influencing factors for the optimal model. ResultsA total of 700 patients were finally enrolled， 283 （40.42%） developed hypoalbuminemia after surgery. The LASSO regression analysis identified 8 predictive factors of age， hepatitis B， fatty liver， blockade time， preoperative albumin （Alb）， time of operation， intraoperative blood loss， and preoperative aspartate aminotransferase （AST）. Among the 7 machine learning models， the KNN model showed the best overall predictive performance， with an AUC of 0.835 （95% confidence interval： 0.781 — 0.889）， a sensitivity of 84.0%， and a specificity of 65.5% in the test set. ALBI and MELD scores had an AUC of 0.652 and 0.524， respectively， and the KNN model had a better predictive performance than these two scores （Z=5.309 and 8.945， both P <0.001）. The calibration curve showed good consistency between predicted probabilities and actual incidence rates， and the decision curve analysis showed that the KNN model had net clinical benefit across a wide threshold range. The SHAP analysis showed that preoperative Alb， hepatitis B， time of operation， and age were the most significant influencing factors， and a synergistic effect was observed between hepatitis B and age/time of operation. ConclusionThe KNN machine learning model constructed based on preoperative clinical indicators can effectively predict the risk of hypoalbuminemia after partial hepatectomy and has a better performance than traditional scoring models， which provides a reference for the early identification of high-risk patients in clinical practice.

Objective This study conducted molecular biological identification of the viruses carried by Culex pipiens pallens specimens collected in Shunyi District, Beijing in 2023, and observed the changes in the infection rate of the viruses carried by Cx. pipiens pallens at different collection times. Methods Cx. pipiens pallens were collected using carbon dioxide mosquito traps. The mosquito samples were ground in batches and analyzed by molecular biology technologies. The virus infection rate at different collection times was analyzed statistically. Results 17 strains of Culex pipiens pallens densovirus(CppDNV)were identified from Cx. pipiens pallens samples collected in Shunyi District, Beijing, in 2023. The nucleotide sequence analysis of the virus genome coding region showed that CppDNV was a single-stranded DNA virus with a total length of 3 335 nt, encoding 2 non-structural proteins(NS1, NS2)and 1 capsid protein(VP). The nucleotide(amino acid)sequence lengths of the three proteins were 2 376 nt(791 aa),1 092 nt(363 aa)and 1 071 nt(356 aa), respectively. Phylogenetic analysis showed that CppDNV was located in genus Brevihamaparvovirus. Statistical analysis showed no significant difference in infection rates across collection times(χ2=4.429, P=0.194). Conclusions CppDNV was identified in Cx. pipiens pallens in Beijing, and it was stably maintained in this natural population.

Objective To investigate the species composition of mosquitoes and breeding conditions of larvae in the rice planting areas of Beijing, and to provide a scientific basis for mosquito control in rice fields. Methods Adult mosquitoes were collected using CO2-baited light traps, and mosquito larvae(including pupae)were sampled via the dipping method. Results A total of 4 genera and 6 species of adult mosquitoes were captured in the study area. The dominant species were Culex pipiens pallens, Cx. tritaeniorhynchus, and Anopheles sinensis. The average adult mosquito density was 5.11 specimens per trap-hour, with slightly lower density in July compared to August. For larvae and pupae,3 genera and 4 species were identified, dominated by Cx. tritaeniorhynchus, An. sinensis, and Aedes vexans. Conclusions The mosquito species composition in Beijing′s rice planting areas is diverse. Mosquito control strategies should prioritize the management of adult mosquitoes, while density control of mosquito larvae in paddy fields can be achieved through intermittent irrigation techniques.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective:To evaluate the efficacy of early bronchoalveolar lavage using electronic bronchoscopy in pediatric drowning cases.Methods:A retrospective analysis of clinical data from 81 pediatric drowning cases treated in the intensive care unit of Hunan Children's Hospital from January 2017 to September 2023 was conducted.Among these,43 cases underwent bronchoalveolar lavage with electronic bronchoscopy within 24 hours of drowning,constituting the treatment group,while 38 cases either did not receive treatment within 24 hours or underwent the procedure after 24 hours,forming the control group.We compared the two groups regarding pre-admission observations,admission observations,and disease progression or prognosis indicators to assess the clinical efficacy of early bronchoalveolar lavage with electronic bronchoscopy in pediatric drowning cases.Results:Compared to the control group,children in the treatment group exhibited a significant reduction in invasive ventilation time [(73.33±13.33) h vs.(94.82±15.77) h] and a significant decrease in pediatric intensive care unit stay [105.00 (94.00,121.00) h vs.123.5 (109.75,149.00) h],with both differences being statistically significant( P<0.05).No significant differences in white blood cell count and neutrophil percentage were observed between the treatment group and control group at admission and on the first day( P>0.05).However,by the third day,there was a significant improvement in white blood cell count in both groups,with statistical significance( P<0.05).There was a significant decrease in C-reactive protein and procalcitonin levels between the treatment group and control group on the 1st and 3rd days,with the differences being significant( P<0.05).Six hours after electronic bronchoalveolar lavage,the P/F ratio in the treatment group was lower than that in the control group (177.09±41.27 vs. 233.50±48.23),but it increased more significantly at 24 hours (286.00±34.32 vs.256.34±44.22),with a significant difference between two groups.The positive rate of lavage fluid culture in the treatment group was significantly higher than that in the control group,and the difference was statistically significant( P<0.05).There was no significant difference in the number of organ function damage between two groups( P>0.05).However,regarding prognosis,the treatment group showed significantly better outcomes than the control group( P<0.05). Conclusion:For pediatric patients with wilderness drowning,early electronic bronchoscopy with alveolar lavage may shorten the duration of invasive mechanical ventilation and pediatric intensive care unit stay,improving prognosis,and is worth promoting.

Objective:To analyze the risk factors of Mycoplasma pneumoniae（MP）lobar pneumonia with plastic bronchitis（PB）in pediatric patients，and to establish a risk nomogram prediction model.Methods:The medical informations were collected from pediatric patients diagnosed with MP lobar pneumonia who performed bronchoscopy during hospitalization in the Department of Pediatrics at the Second Affiliated Hospital of Air Force Military Medical University from April 2023 to December 2023.According to the bronchoscopic findings，the patients were divided into PB group and non-PB group.The clinical medical records and ancillary diagnostic findings were retrospectively analyzed.A multivariate Logistic regression model was used to analyze the independent risk factors for children with MP lobar pneumonia complicated with PB.A nomogram model was constructed to predict the risk of PB occurrence. Calibration curves and Hosmer-Lemeshow goodness-of-fit test were used to evaluate the predictive value of the nomogram model for MP lobar pneumonia with PB. The receiver operating characteristic (ROC) curve was used to assess the diagnostic efficacy.Results:A total of 357 pediatric patients diagnosed with MP lobar pneumonia were included，with 92 cases in PB group and 265 cases in non-PB group. No statistically significant differences in gender and age were observed between the two groups（ P>0.05）.The duration of fever and the hospitalization time in PB group were longer than those in non-PB group. The incidences of pleural effusion，consolidation area of a single lung lobe ≥2/3 and atelectasis on chest CT were higher in PB group compared to non-PB group. Additionally,the levels of neutrophil/lymphocyte ratio，C-reactive protein，procalcitonin，D-dimer（D-D），alanine aminotransferase(ALT)，aspartate aminotransferase，lactate dehydrogenase，α-hydroxybutyrate dehydrogenase，interferon-γ（IFN-γ），interleukin（IL）-6，IL-10 and IFN-γ/IL-4 ratio in PB group were higher than those in non-PB group（all P<0.05）.Logistic regression analysis showed elevated D-D, ALT and IFN-γ, pleural effusion and consolidation area of a single lung lobe ≥2/3 were independent risk factors for PB.The nomogram prediction model constructed by the model demonstrated good goodness-of-fit (χ 2=11.316， P=0.184) and provided significant clinical net benefits within a risk threshold range of 0.09–0.65. The area under the ROC curve for combined prediction was 0.771（95% CI 0.716-0.826），with a sensitivity of 0.707 and specificity of 0.706. Conclusion:In children with MP lobar pneumonia, elevated laboratory markers (D-D, ALT, IFN-γ) and imaging features (pleural effusion, consolidation area of a single lung lobe ≥2/3) are critical predictors for early diagnosis of PB.The nomogram prediction model can be used to predict MP lobar pneumonia with PB in early stage.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective:To investigate the efficacy and safety of doxycycline in children with macrolide-resistant mycoplasma pneumoniae pneumonia（MRMPP）.Methods:A retrospective analysis was conducted on the data from 92 children with severe MRMPP admitted to the Intensive Care Unit of Hunan Children's Hospital from January 2020 to November 2023.Depending on antibiotic treatment strategies for mycoplasma pneumoniae，patients were divided into three groups：Doxycycline group（those treated with doxycycline，12 cases）；Azithromycin group（those treated with azithromycin，53 cases）；and Switch group（those switched from azithromycin to doxycycline，27 cases）.Clinical outcomes and adverse reactions were compared among the three groups.Results:Significant statistical differences were found among the three groups in terms of age（ F=49.365， P<0.001）and weight（ H=40.595， P<0.001），with the Doxycycline group presenting the highest average age and median weight，followed by the Switch group，and then the Azithromycin group.After antibiotic treatment，children in the Doxycycline group，when compared to the Switch group and the Azithromycin group，showed a shorter fever resolution time[3.0（2.0，3.8）days vs.5.0（4.0，5.0）days vs.6.0（5.0，7.0）days， H=25.243， P<0.001]，a higher defervescence rate at 48 hours and 72 hours (41.7% vs.0 vs.0 at 48 hours，and 75.0% vs.0% vs.5.7% at 72 hours，both P<0.001]，a shorter mechanical ventilation duration[83.0（70.0，93.0）hours vs.135.0（129.0，172.0）hours vs.152.0（139.0，164.5）hours， H=9.980， P=0.007]，a shorter ICU stay[7.0（6.0，8.0）days vs.10.0（8.0，13.0）days vs.11.0（9.0，13.0）days， H=21.887， P<0.001]，and a lower proportion of Methylprednisolone usage [8.3% vs.57.1% vs.54.7%， P=0.008].There was no significant statistical difference in extrapulmonary complications and co-pathogens（both P>0.05）.Gastrointestinal reactions occurred in all children treated with doxycycline and azithromycin，with rates of 10.3%（4/39）and 13.8%（11/80）,respectively，showing no statistical significance（ P=0.771）.Among the 67（72.8%）cases with available follow-up data，the incidence of bronchiolitis obliterans was 8.3%（1/12）in the Doxycycline group，13.6%（3/22）in the Switch group，and 15.2%（5/33）in the Azithromycin group，with no statistical significance（ P>0.05）.Among the 34 cases using doxycycline with follow-up data available，none had tooth discoloration or enamel hypoplasia related to the medication. Conclusion:Doxycycline in the treatment of severe MRMPP in children could rapidly improve clinical symptoms，shorten the course of the disease，reduce the likelihood of methylprednisolone use，and is relatively safe for short-term use.

Aim To systematically investigate the ac-tive components,targets,and regulatory pathways of Po-lygonum capitatum in intervening atherosclerosis(AS)through network pharmacology,molecular docking and animal experiments.Methods Active components of Polygonum capitatum and AS-related targets were screened and identified through database searches.Protein-protein interaction(PPI)network analysis was performed using the STRING database,followed by GO and KEGG enrichment analyses via the David plat-form.Molecular docking validation was conducted with AutoDock.An AS model was established in Syrian golden hamsters fed a high-fat diet.Predicted pathways and targets were validated using qPCR,ELISA,and histopathological assessment of aortic and hepatic tis-sues via HE staining.Results Network pharmacology identified 27 potential active components of Polygonum capitatum(primarily flavonoids such as quercetin and luteolin)and 110 drug-disease intersection targets,in-cluding core targets MMP-9,ALB,and AKT1.GO and KEGG analyses enriched 593 and 125 pathways,re-spectively,with the NF-κB inflammatory pathway,TNF signaling pathway and lipid metabolism/atherosclerosis pathways highlighted as key mechanisms.Animal ex-periments demonstrated that Polygonum capitatum im-proved serum lipid profiles(reduced TC,TG,LDL-C)in AS hamsters,suppressed the MMP-9/NF-κB signa-ling pathway(downregulated MMP-9,p65 phosphoryla-tion,TNF-α,and IL-6),and inhibited VSMC synthetic phenotypic transformation(upregulated α-SMA and myocardin)by downregulating MCPIP1.Additionally,Polygonum capitatum ameliorated aortic lesions and he-patic lipid deposition in AS hamsters.Conclusions Polygonum capitatum alleviates AS by synergistically regulating the MMP-9/NF-κB/MCPIP1 axis through flavonoid components,suppressing vascular inflammato-ry cascades and maintaining VSMC contractile pheno-types.This reflects Polygonum capitatum's multi-com-ponent,multi-pathway,and multi-target characteristics in combating AS.

Objective:To explore the effectiveness of digital management platform led by outpatient specialist nurses among patients with type 2 diabetes in outpatient settings.Methods:From March 2024 to March 2025, adult patients with type 2 diabetes who visited the Endocrinology Clinic at Peking Union Medical College Hospital were selected using convenience sampling. Patients were randomly assigned to the control group and intervention group using the random number table method. Patients in control group received routine education on type 2 diabetes during their clinic visits after enrollment. Intervention group was managed by nurses through a digital management platform, establishing long-term connections with patients. Based on the platform, nurses regularly provided patients with knowledge updates, promptly responded to patient inquiries, reviewed daily dietary records, monitored blood glucose data, conducted weekly telephone follow-ups, and scheduled regular clinic visits to precisely intervene in patients' lifestyles. The glycated hemoglobin (HbA1c) and self-management behavior scores were compared between two groups of patients before and after three months of intervention.Results:A total of 46 patients were enrolled and completed the 3-month follow-up, including 25 in control group and 21 in intervention group. There were no statistically significant differences in HbA1c or self-management behavior scores between the two groups of patients before intervention ( P>0.05). At three months of intervention, the HbA1c reduction in intervention group was greater than that in control group, with a statistically significant difference ( P<0.05). There was no statistically significant difference in Summary of Diabetes Self-Care Activities Scale scores between the two groups ( P>0.05). The difference in changes in diabetic foot self-screening scores between intervention group and control group was statistically significant ( P<0.05) . Conclusions:Specialist nurse-led precision health care management utilizing digital platforms can improve HbA1c and enhance self-management behaviors for diabetic foot in patients with type 2 diabetes, which is expected to be promoted and applied in the outpatient management of diabetes patients.