Objective:To reassess the pathogenicity of copy number variants (CNVs) involving chromosomal microdeletions and microduplications classified as variants of uncertain significance (VUS).Methods:This retrospective study analyzed 1 882 pregnant women who underwent invasive prenatal diagnosis for chromosomal microarray analysis (CMA) at the First Medical Center, Chinese PLA General Hospital between January 1, 2018, and December 31, 2022. The results were classified according to the American College of Medical Genetics and Genomics guidelines, with 82 fetuses rated as VUS selected for the study. We analyzed invasive prenatal diagnostic indications, followed up on fetal ultrasound findings, parental origin identification results, and pregnancy outcomes, and reclassified VUS CNVs based on the latest evidence. Descriptive statistical analysis was applied to the data.Results:(1) Among the 82 fetuses with VUS CNVs, prenatal diagnostic indications included fetal structural abnormalities detected by ultrasound (21 cases, 25.6%), abnormal non-invasive prenatal testing (NIPT) results (12 cases, 14.6%), high-risk serum screening (seven cases, 8.5%), advanced maternal age (≥35 years at expected delivery, 28 cases, 34.1%), and other indications (14 cases, 17.1%). Sixteen cases (19.5%) exhibited abnormal phenotypes, with seven pregnancies terminated due to severe structural abnormalities detected by prenatal ultrasound. Seventy-five live births were followed up for 25 (13-66) months. (2) Among the 82 cases, five fetuses had two VUS CNVs detected by CMA, while the remaining 77 had only one, totaling 87 VUS CNVs. Of these, 63 (72.4%) were chromosomal microduplications and 24 (27.6%) were chromosomal microdeletions. The size of the CNV segments ranged from 0.85 (0.05-5.61) Mb, with 82 segments less than 2 Mb. Parental origin identification was refused by 44 cases (53.7%), while 38 (46.3%) underwent the test, revealing eight (21.0%) de novo variants and 30 (78.9%) inherited from either parent (12 maternal and 18 paternal). (3) Among the 87 VUS CNVs, the ratings of 11 CNVs (12.6%) changed after re-evaluation. This included one 4p16.2 microdeletion and two 15q11.2 microdeletions being upgraded to pathogenic, one 16p13.11 microduplication being upgraded to likely pathogenic, one Xp22.31 microduplication and two 2q13 microdeletions being downgraded to likely benign, and four Xp22.31 microduplications being downgraded to benign. (4) Among the 16 fetuses with abnormal phenotypes, seven with prenatal abnormalities terminated pregnancies, including six with structural abnormalities and one with severe fetal growth restriction. After re-evaluation, one case was upgraded to pathogenic, while six remained VUS. Nine live births with postnatal abnormal phenotypes showed no change in classification after re-evaluation. Among the 66 cases (80.5%) without abnormal phenotypes, 10 had their classifications changed after re-evaluation. Conclusions:Fetuses with VUS CNVs often exhibit no significant abnormal phenotypes and have a relatively favorable prognosis, however, further floow-up is still needed. Parental origin identification can provide valuable insights for genetic counseling.

Objective To predict the hospitalization expense of pneumonia patients using the CatBoost and LightGBM models and explore associated influencing factors,providing a scientific basis for reasonable control of medical expenses and alle-viating the financial burden on society and patients'families.Methods Data from 1407 inpatients with pneumonia admitted to a tertiary hospital between November 1,2021 and January 31,2023 were collected from the hospital information system.The Cat-Boost and LightGBM models were employed to predict the hospitalization expenses of pneumonia patients and analyze the influen-cing factors.Results The full-variable CatBoost model fitted better than the full-variable LightGBM model,with the R-square value of 0.859 and Mean Absolute Percentage Error(MAPE)of 0.352.The full-variable CatBoost model predicted better than the full-variable LightGBM model,with the R-square value of 0.820 and MAPE of 0.363.Notably,the average length of stay was the most important factor affecting the hospitalization expenses of pneumonia patients.Conclusion Compared to the LightGBM model,the CatBoost model indicated more advantages and higher accuracy in predicting hospitalization expenses for pneumonia patients.These accurate predictions of hospitalization expenses can provide decision-making references for hospital administra-tors.Therefore,on the premise of ensuring medical quality,reasonably reducing the length of hospitalization can effectively con-trol the increase in hospitalization expenses.

Objective To predict the hospitalization expense of pneumonia patients using the CatBoost and LightGBM models and explore associated influencing factors,providing a scientific basis for reasonable control of medical expenses and alle-viating the financial burden on society and patients'families.Methods Data from 1407 inpatients with pneumonia admitted to a tertiary hospital between November 1,2021 and January 31,2023 were collected from the hospital information system.The Cat-Boost and LightGBM models were employed to predict the hospitalization expenses of pneumonia patients and analyze the influen-cing factors.Results The full-variable CatBoost model fitted better than the full-variable LightGBM model,with the R-square value of 0.859 and Mean Absolute Percentage Error(MAPE)of 0.352.The full-variable CatBoost model predicted better than the full-variable LightGBM model,with the R-square value of 0.820 and MAPE of 0.363.Notably,the average length of stay was the most important factor affecting the hospitalization expenses of pneumonia patients.Conclusion Compared to the LightGBM model,the CatBoost model indicated more advantages and higher accuracy in predicting hospitalization expenses for pneumonia patients.These accurate predictions of hospitalization expenses can provide decision-making references for hospital administra-tors.Therefore,on the premise of ensuring medical quality,reasonably reducing the length of hospitalization can effectively con-trol the increase in hospitalization expenses.

Objective:To study the effect and mechanism of ganoderma lucidum polysaccharide peptide(GLPP)on renal anti oxidative stress and immune inflammation in diabetes nephropathy mice.Methods:The C57 male mice model of diabetes nephropathy was established by streptozotocin combined with high glucose and high-fat diet.Sixty diabetes nephropathy mice were divided into model group,losartan group,GLPP group(low,medium and high dose groups),GLPP high-dose+losartan group,with 10 mice in each group,10 mice fed with normal diet as the blank group.The losartan group was given 10 mg/kg losartan by gavage,and GLPP low,medium and high dose groups was given 50,100,and 200 mg/kg GLPP by gavage,while the GLPP high-dose+losartan group were given 200 mg/kg GLPP+10 mg/kg losartan by gavage.The blank group and model group were given physiological saline by gavage.After gastric lavage,observe the diet,water intake,renal pathology,structure,and apoptosis of renal tubular epithelial cells in mice,and analyze the levels of blood biochemical indicators,immune inflammation,oxidative stress indicators,and expression of apoptosis/cycle regulatory proteins in mice.Results:Compared with the blank group,the model group showed an increase in blood biochemical indicators such as Scr,BUN,TC,TG and GSP(P<0.05),as well as inflammation indicators such as level of IL-6 and TNF-α、MCP-1 were decreased(P<0.05),the oxidative stress indicator MDA was increased,T-AOC,GSH-PX,SOD were decreased(P<0.05),the apoptosis rate of renal tubular epithelial cells were increased(P<0.05),the expression levels of Bax,Caspase-3,P53,P21 were all increased,and the expression levels of Bcl-2 and Cyclin D1 were decreased(P<0.05).Compared with the model group,the losartan group,GLPP dose groups,GLPP high-dose+losartan group Scr,BUN,TC,TG,GSP,IL-6,TNF-α,MCP-1,MDA levels,apoptosis rate of renal tubular epithelial cells,Bax,Caspase-3,P53,P21 expression levels were all reduced,while T-AOC,SOD,GSH-PX levels,Bcl-2,and Cyclin D1 expression levels were all increased.Renal pathological changes were improved,and mitochondrial swelling was reduced.The GLPP high-dose+losartan group showed the most significant improvement(P<0.05).Conclusion:GLPP can reverse the renal injury in diabetes nephropathy mice,which may be related to the inhibition of apoptosis of renal tubular epithelial cells by alleviating renal oxidative stress and immune inflammatory damage.

Objective:To study the effect and mechanism of ganoderma lucidum polysaccharide peptide(GLPP)on renal anti oxidative stress and immune inflammation in diabetes nephropathy mice.Methods:The C57 male mice model of diabetes nephropathy was established by streptozotocin combined with high glucose and high-fat diet.Sixty diabetes nephropathy mice were divided into model group,losartan group,GLPP group(low,medium and high dose groups),GLPP high-dose+losartan group,with 10 mice in each group,10 mice fed with normal diet as the blank group.The losartan group was given 10 mg/kg losartan by gavage,and GLPP low,medium and high dose groups was given 50,100,and 200 mg/kg GLPP by gavage,while the GLPP high-dose+losartan group were given 200 mg/kg GLPP+10 mg/kg losartan by gavage.The blank group and model group were given physiological saline by gavage.After gastric lavage,observe the diet,water intake,renal pathology,structure,and apoptosis of renal tubular epithelial cells in mice,and analyze the levels of blood biochemical indicators,immune inflammation,oxidative stress indicators,and expression of apoptosis/cycle regulatory proteins in mice.Results:Compared with the blank group,the model group showed an increase in blood biochemical indicators such as Scr,BUN,TC,TG and GSP(P<0.05),as well as inflammation indicators such as level of IL-6 and TNF-α、MCP-1 were decreased(P<0.05),the oxidative stress indicator MDA was increased,T-AOC,GSH-PX,SOD were decreased(P<0.05),the apoptosis rate of renal tubular epithelial cells were increased(P<0.05),the expression levels of Bax,Caspase-3,P53,P21 were all increased,and the expression levels of Bcl-2 and Cyclin D1 were decreased(P<0.05).Compared with the model group,the losartan group,GLPP dose groups,GLPP high-dose+losartan group Scr,BUN,TC,TG,GSP,IL-6,TNF-α,MCP-1,MDA levels,apoptosis rate of renal tubular epithelial cells,Bax,Caspase-3,P53,P21 expression levels were all reduced,while T-AOC,SOD,GSH-PX levels,Bcl-2,and Cyclin D1 expression levels were all increased.Renal pathological changes were improved,and mitochondrial swelling was reduced.The GLPP high-dose+losartan group showed the most significant improvement(P<0.05).Conclusion:GLPP can reverse the renal injury in diabetes nephropathy mice,which may be related to the inhibition of apoptosis of renal tubular epithelial cells by alleviating renal oxidative stress and immune inflammatory damage.

Objective:To reassess the pathogenicity of copy number variants (CNVs) involving chromosomal microdeletions and microduplications classified as variants of uncertain significance (VUS).Methods:This retrospective study analyzed 1 882 pregnant women who underwent invasive prenatal diagnosis for chromosomal microarray analysis (CMA) at the First Medical Center, Chinese PLA General Hospital between January 1, 2018, and December 31, 2022. The results were classified according to the American College of Medical Genetics and Genomics guidelines, with 82 fetuses rated as VUS selected for the study. We analyzed invasive prenatal diagnostic indications, followed up on fetal ultrasound findings, parental origin identification results, and pregnancy outcomes, and reclassified VUS CNVs based on the latest evidence. Descriptive statistical analysis was applied to the data.Results:(1) Among the 82 fetuses with VUS CNVs, prenatal diagnostic indications included fetal structural abnormalities detected by ultrasound (21 cases, 25.6%), abnormal non-invasive prenatal testing (NIPT) results (12 cases, 14.6%), high-risk serum screening (seven cases, 8.5%), advanced maternal age (≥35 years at expected delivery, 28 cases, 34.1%), and other indications (14 cases, 17.1%). Sixteen cases (19.5%) exhibited abnormal phenotypes, with seven pregnancies terminated due to severe structural abnormalities detected by prenatal ultrasound. Seventy-five live births were followed up for 25 (13-66) months. (2) Among the 82 cases, five fetuses had two VUS CNVs detected by CMA, while the remaining 77 had only one, totaling 87 VUS CNVs. Of these, 63 (72.4%) were chromosomal microduplications and 24 (27.6%) were chromosomal microdeletions. The size of the CNV segments ranged from 0.85 (0.05-5.61) Mb, with 82 segments less than 2 Mb. Parental origin identification was refused by 44 cases (53.7%), while 38 (46.3%) underwent the test, revealing eight (21.0%) de novo variants and 30 (78.9%) inherited from either parent (12 maternal and 18 paternal). (3) Among the 87 VUS CNVs, the ratings of 11 CNVs (12.6%) changed after re-evaluation. This included one 4p16.2 microdeletion and two 15q11.2 microdeletions being upgraded to pathogenic, one 16p13.11 microduplication being upgraded to likely pathogenic, one Xp22.31 microduplication and two 2q13 microdeletions being downgraded to likely benign, and four Xp22.31 microduplications being downgraded to benign. (4) Among the 16 fetuses with abnormal phenotypes, seven with prenatal abnormalities terminated pregnancies, including six with structural abnormalities and one with severe fetal growth restriction. After re-evaluation, one case was upgraded to pathogenic, while six remained VUS. Nine live births with postnatal abnormal phenotypes showed no change in classification after re-evaluation. Among the 66 cases (80.5%) without abnormal phenotypes, 10 had their classifications changed after re-evaluation. Conclusions:Fetuses with VUS CNVs often exhibit no significant abnormal phenotypes and have a relatively favorable prognosis, however, further floow-up is still needed. Parental origin identification can provide valuable insights for genetic counseling.

Objective To explore and compare the effect of the three forecasting models(extreme gradient boosting,back propagation neural network and support vector machine)on the hospitalization expense of day surgery,and to put forward suggestions on how to effectively control allocation of medical resources.Methods A total of 9 064 pieces of data from January 1,2018 to August 31,2021 were collected from the hospital information system.Excel was used to establish a database,and make a descriptive analysis by SPSS 21.0.Python was used to conduct models fitting for the hospitalization expense of day surgery.Select the best model for exactly forecasting the hospitalization expense of day surgery by comparing the evaluation indi-cators.Results The results showed that the median of hospitalization expense is 2 872.11.The coefficient of determination(R2)achieved 0.854 and the mean absolute percentage error(MAPE)was 0.209 when the extreme gradient boosting was used to predict the hospitalization expense.R2 achieved 0.837 and MAPE was 0.240 by using the back propagation neural network.R2achieved 0.730 and MAPE was 0.225 by using the support vector machine.The extreme gradient boosting performed better than the other methods by comparing the evaluation indicators.Conclusion Compared with the back propagation neural network and support vector machine,the extreme gradient boosting has more advantages in predicting the hospitalization expense of day surgery patients,which has higher estimation precision and reliability.The accurate prediction of hospitalization expense can pro-vide decision-making reference for relevant medical operation managers,and control the expense actively under the condition of ensuring medical quality,guiding the medical behavior and improving the efficiency of the use of hospital resources.

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) technology has the characteristics of high specificity and high throughput, making it rapidly applied and developed in the field of clinical testing. Its application in the monitoring of therapeutic drugs can effectively improve the quantitative accuracy and sensitivity, and formulate a personalized and optimal dosing plan for patients. However, this technology still faces some challenges, and automation, quality control, and quantitative traceability will be the future development direction.

ObjectiveTo analyze the effects of Danggui Shaoyaosan （DSS） on the gut microbiota of the Alzheimer's disease （AD） model in SAMP8 mice based on 16S rDNA sequencing. MethodTwenty-four SAMP8 mice aged seven months were randomly divided into low-， medium-， and high-dose DSS groups （14.4， 28.8， 57.6 g·kg^-1·d^-1） and a model group according to a random number table， with six rats in each group. Six SAMR1 mice of the same age were assigned to the normal group. After intragastric administration for eight consecutive weeks， 16S rDNA sequencing was performed to detect the gut microbiota of feces in mice. Morris water maze was employed to assess the directional navigation and space exploration ability of mice. Nissl staining was performed to observe the pathological changes of neurons in the hippocampal CA1 area. Enzyme-linked immunosorbent assay （ELISA） was adopted to measure the protein content of hippocampal amyloid β-protein （Aβ） and hyperphosphorylated Tau （p-Tau）. ResultCompared with the normal group， the model group presented a declining α diversity （P<0.05）， markedly altered β diversity， prolonged escape latency （P<0.05）， reduced number of platform crossings and cumulative duration in the targeted quadrant （P<0.05）， decreased neurons and Nissl bodies in the CA1 hippocampal area， and up-regulated Aβ and p-Tau expression （P<0.05）. However， DSS intervention enhanced the α diversity， and medium- and high-dose DSS， especially the medium-dose DSS， could result in α diversity similar to the control group. Moreover， at the phylum level， the abundance of Firmicutes increased （P<0.05）， while the abundance of Bacteroidetes and Proteobacteria decreased （P<0.05）. At the genus level， the abundance of Lactobacillus and other genera increased （P<0.05）， while the abundance of Bacteroides， Helicobacterium， Rikenella， Parabacteroides， Sutterella， and Mucilaginibacter decreased （P<0.05）. The DSS groups also showed shortened escape latency （P<0.05）， increased number of platform crossings and cumulative duration in the targeted quadrant （P<0.05）， increased Nissl bodies （P<0.05）， and reduced Aβ and p-Tau content （P<0.05）. Pearson correlation analysis showed that the abundance of Mucilaginibacter， Bacteroides， and Sutterella was negatively correlated with the cognitive ability of SAMP8 mice， while the abundance of Lactobacillus and Butyricimonas was positively correlated with the cognitive ability of SAMP8 mice. ConclusionDSS can improve the cognitive ability of SAMP8 mice， and its mechanism may be related to the regulation of gut microbiota diversity and community composition.

Enteral nutrition plays an irreplaceable role in the nutritional treatment of critically ill patients. In order to help clinical medical staff to manage the common complications during the implementations of enteral nutrition for critically ill patients, the consensus writing team carried out literature retrieval, literature quality evaluation, evidence synthesis. Several topics such as diarrhea, aspiration, high gastric residual volume, abdominal distension, etc. were assessed by evidence-based methodology and Delphi method. After two rounds of expert investigations, Expert consensus on prevention and management of enteral nutrition therapy complications for critically ill patients in China (2021 edition) developed, and provided guidance for clinical medical staff.