OBJECTIVE To systematically evaluate risk prediction models for chemotherapy-induced myelosuppression in breast cancer， and provide a scientific reference for clinical healthcare workers in selecting or developing effective predictive models. METHODS A systematic search was conducted for studies on predictive models of the risk of chemotherapy-induced myelosuppression in breast cancer across the CNKI， VIP， Wanfang， PubMed， Web of Science， Cochrane Library， Embase， and Scopus databases， with a time frame of the establishment of the database to May 7， 2024. Literature was independently screened by 2 investigators， data were extracted according to critical appraisal and data extraction for systematic reviews of predictive model studies， and the risk of bias evaluation tool for predictive model studies was used to analyze the risk of bias and applicability of the included studies. RESULTS There were totally 7 studies， comprising 12 models. Among them， 11 models indicated an area under the subject operating characteristic curve of 0.600-0.908； 2 models indicated calibration. The common predictor variables of the included models were age， pre-chemotherapy neutrophil count， pre-chemotherapy lymphocyte count， and pre-chemotherapy albumin. The overall risk of bias of the 7 studies was high， which was mainly attributed to the flaws in the study design， insufficient sample sizes， inappropriate treatment of variables， non-reporting of missing data， and the lack of indicators for the assessment of the models， but the applicability was good. CONCLUSIONS The predictive performance of risk predictive models for chemotherapy-induced myelosuppression in breast cancer remains to be further enhanced， and the overall risk of model bias is high. Future studies should follow the specifications of model development and reporting， then combine machine learning algorithms to develop risk predictive models with good predictive performance， high stability， and low risk of bias， so as to provide a decision-making basis for the clinic.

OBJECTIVE To construct a prediction model for the efficacy of serotonin-norepinephrine reuptake inhibitor （SNRI） in inpatients with moderate and severe depression by using a machine learning method. METHODS The case records of inpatients with moderate and severe depression treated with SNRI antidepressants were collected from a third-grade class-A hospital in Xinjiang from January 2022 to October 2024； those patients were divided into effective group and ineffective group based on the Hamilton depression scale-24 score reduction rate. After screening the characteristic variables related to the therapeutic efficacy of SNRI drugs through LASSO regression， five prediction models including support vector machine， k-nearest neighbor， random forest， lightweight gradient boosting machine and extreme gradient boosting were constructed using the training set. Bayesian optimization was used to adjust the hyperparameters of these models. The performance of the models was evaluated in the validation set to select the optimal model. The Shapley additive explanations method was used to perform explainable analysis on the best model. RESULTS The medical records from 355 hospitalized patients with moderate and severe depression were collected， comprising 285 cases in the effective group and 70 cases in the ineffective group， resulting in an overall therapeutic response rate of 80.28%. After feature variable screening， five characteristic variables for therapeutic efficacy were obtained， including Hamilton anxiety scale， blood urea nitrogen， combination of anti-anxiety drugs， drinking history， and first onset of the disease. Compared with other models， the random forest model performed the best. The area under the receiver operating characteristic curve was 0.85， the area under the precision-recall curve was 0.87， the accuracy was 0.74， and the recall rate value was 0.75. CONCLUSIONS The random forest model constructed based on five characteristic variables demonstrates potential for predicting the therapeutic efficacy of SNRI antidepressants in hospitalized patients with moderate and severe depression.

ObjectiveTo describe the epidemic characteristics of COVID-19 after policy adjustment from “Category B notifiable disease with category A management” to “Category B notifiable disease with category B management”， and to explore the protective effect of previous infection with SARS-CoV-2 on common symptoms of reinfection. MethodsHealthcare workers infected with SARS-CoV-2 in a grade A tertiary hospital in Shanghai were included in the study from December 4， 2022 to January 11， 2023. Data on demographic characteristics， clinical symptoms， medical history， and COVID-19 vaccination history were collected. We determined the epidemiological curve and characteristics， and then compared the difference in the severity of clinical symptoms between primary and reinfection subjects. ResultsA total of 2 704 cases were included in the study， of which 45 had reinfection， 605 （22.4%）were males， 608 （22.5%）were doctors， 1 275 （47.2%） were nurses， and 2 351 （86.9%） received ≥3 doses of COVID-19 vaccination. The average age of these healthcare workers was （34.9±9.1） years old. The number of cases with mild/moderate illness， asymptomatic infection， fever， headache， dry cough， expectoration， and chest tightness were 2 704 （100.0%）， 92 （3.4%）， 2 385 （88.2%）， 2 066 （76.4%）， 1 642 （60.7%）， 1 807 （66.8%）， and 439 （16.2%）， respectively. Reinfection was a protective factor for fever （OR=0.161， P<0.001）， headache （OR=0.320， P<0.001）， and peak body temperature （β=-0.446， P<0.001）. ConclusionFollowing the COVID-19 policy adjustment as a category B notifiable disease， healthcare workers at a grade A tertiary hospital in Shanghai predominantly experiences mild to moderate COVID-19 symptoms. Reinfection results in milder clinical manifestations， with a lower proportion of being asymptomatic.

Objective To detect the serum levels of CC chemokine receptor 2(CCR2)and C-reactive pro-tein(CRP)in stroke patients,and analyze their relationship with the severity of stroke associated pneumonia and their clinical significance.Methods A total of 78 patients with stroke associated pneumonia who were di-agnosed and treated in the hospital from October 2022 to February 2023 were collected as the study group,ac-cording to the severity of pneumonia,the study group was divided into mild group(31 cases),moderate group(29 cases),and severe group(18 cases),78 stroke patients who did not develop pneumonia were included into control group.Pearson method was applied to analyze the correlation between serum CCR2 and CRP levels in stroke associated pneumonia patients.Multivariate Logistic regression was applied to analyze the factors influ-encing the occurrence of stroke associated pneumonia.Receiver operating characteristic(ROC)curve was ap-plied to analyze the diagnostic value of serum CCR2 and CRP for stroke associated pneumonia.Results The National Institute of Health stroke scale(NIHSS)score,serum CCR2,and CRP levels in the study group were obviously higher than those in the control group(P<0.05).The levels of serum CCR2 and CRP increased with the aggravation of pneumonia(P<0.05).The levels of serum CCR2 and CRP in the study group were positively correlated(r=0.799,P<0.05).NIHSS score,CCR2,and CRP levels were risk factors for stroke associated pneumonia in stroke patients(P<0.05).The area under the curve(AUC)for the diagnosis of stroke associated pneumonia using serum CCR2 and CRP alone was 0.873 and 0.888,respectively,and the AUC for the combined detection of the two was 0.936,the combined detection of the two was superior to the individual detection of serum CCR2 and CRP(Zcombination-CCR2=1.987,Zcombination-CRP=1.832,P=0.041,0.047).Conclusion Serum CCR2 and CRP are closely related to the severity of stroke associated pneumonia,and their combined detection has high diagnostic value for stroke associated pneumonia.

Objective:To compare the diagnostic efficacy of 68Ga-PSMA-11 PET/ CT and multi-parameter magnetic resonance imaging (mpMRI) for pelvic lymph node metastases in prostate cancer patients who received neoadjuvant endocrinology or not after initial diagnosis. Methods:Data of 52 patients with moderate and high-risk prostate cancer admitted to Xijing Hospital from February to October 2023, aged (65.8±6.6) years, preoperative prostate-specific antigen (PSA) 26.67 (13.09, 84.89) ng/ml, were retrospectively analyzed. Before operation, there were 28 cases of cT 2stage, 16 cases of cT 3 stage and 8 cases of cT 4 stage. There were 22 cases of cN 0 and 30 cases of cN 1. All patients underwent 68Ga-PSMA-11 PET/CT and mpMRI at the same time, and were diagnosed positive lymph nodes in 28 and 21 cases, respectively. Risk stratification were high risk in 45 cases, and medium risk in 7 cases. According to the preoperative endocrine treatment, they were divided into the newly diagnosed group without treatment (24 cases) and the endocrine treated group (28 cases), whose ages were (65.0±7.1) years and (66.8±6.1) years, respectively. Preoperative PSA was 26.17 (16.73, 61.18) ng/ml and 27.32 (11.94, 130.18) ng/ml, respectively. Gleason scores ≤7 were in 10 cases (41.7%) and 6 cases (21.4%), and Gleason scores >7 were in 14 cases (58.3%) and 22 cases (78.6%), respectively. There were 15 (62.5%) and 13 (46.4%) cases of cT 1-2 stage, and 9 (37.5%) and 15 (53.6%) cases of cT 3-4 stage, respectively. There were 16 (66.7%) and 6 (21.4%) cases of stage N 0, 8 (33.3%) and 22 (78.6%) cases of stage N 1, respectively. There were 22 (91.7%) and 20 (71.4%) cases of stage M 0, 2 (8.3%) and 8 (28.6%) cases of stage M 1, respectively. PET/CT diagnosis of lymph node positive was in 9 cases (37.5%) and 19 cases (67.9%), and mpMRI diagnosis of lymph node positive was in 5 cases (20.8%) and 16 cases (57.1%). The number of positive lymph nodes diagnosed by PET/CT was 13 (72.2%) and 47 (90.1%), and the number of positive lymph nodes diagnosed by mpMRI was 8 (44.4%) and 32 (61.5%). There was no significant difference ( P>0.05). All patients underwent radical prostatectomy as well as enlarged pelvic lymph node resection. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the two imaging examinations in the diagnosis of lymph node metastasis were compared according to the results of postoperative pathological examination of lymph nodes. Receiver operating characteristic (ROC) curve was used to compare the accuracy of the two imaging tests in the diagnosis of pelvic lymph node metastasis in the newly diagnosed untreated group and the endocrine treated group. Results:In this study, of 52 cases, 26 (50.0%) had positive lymph nodes by pathological examination. In this study, a total of 681 lymph nodes were dissected, with 70 lymph nodes (10.28%) being pathologically positive, and the positive rate of 26 patients was 17.99% (70/389). The PET/CT and mpMRI detection rates of 26 node-positive patients were 92.3% (24/26) and 57.7% (15/26), respectively. There were 9 (37.5%) and 17 (60.7%) lymph node positive patients in the untreated group and the endocrine therapy group, respectively. There were 320 and 361 lymph nodes were clear, with 18 (5.6%) and 52 (14.4%) positive lymph nodes, respectively. The detection rates of PET/CT and mpMRI were 88.89% (8/9) and 94.12% (16/17)in the untreated group, and 44.44% (4/9) and 64.71% (11/17)in the endocrine treated group, respectively. In the newly treated group, the area under the curve (AUC) of PET/CT and mpMRI for diagnosing positive lymph nodes were 0.911 and 0.689 ( P=0.027), the sensitivity were 88.9% and 44.4%, and the specificity were 93.3% and 93.3%, respectively. PPV were 88.9% and 80.0%, and NPV were 93.3% and 73.7%, respectively. In the endocrine therapy group, the AUC of PET/CT and mpMRI for lymph node positive diagnosis were 0.834 and 0.596 ( P=0.011), the sensitivity were 94.1% and 64.7%, the specificity were 72.7% and 54.5%, and the PPV were 84.2% and 68.8%, respectively. NPV were 88.9% and 50.0%, respectively. Conclusions:For prostate cancer patients, regardless of whether they receive neoadjuvant endocrine therapy, 68Ga-PSMA-11 PET/CT can accurately detect pelvic lymph node metastasis, and the diagnostic efficacy is significantly better than that of mpMRI.

Objective To investigate the diagnostic value of serum soluble fms-like tyrosine kinase 1(sFlt-1)and soluble differentiation cluster 14(sCD14)in stroke-associated pneumonia(SAP).Methods A total of 67 SAP patients admitted to the hospital from March 2022 to January 2023 were selected as the study group,and 50 stroke patients without pneumonia during the same period were selected as the control group.Enzyme-linked immunosorbent assay was used to measure serum sFlt-1 and sCD14 levels.Pearson correlation analysis was used to analyze the correlation between serum sFlt-1,sCD14 levels and clinical data.Multivariate Logistic regression was used to analyze the influencing factors of SAP in patients with stroke.Receiver operating char-acteristic(ROC)curve was used to analyze the diagnostic value of serum sFlt-1 and sCD14 levels in predicting SAP in patients with stroke.Results The serum levels of sFlt-1 and sCD14 in SAP patients were higher than those in stroke patients without pneumonia and stroke patients with pneumonia alone(P＜0.05).SAP in stroke patients was associated with age,atrial fibrillation,heart failure,aspiration,dysphagia,brain stem stroke,proton pump inhibitor use,fever,cough,dyspnea,low-density lipoprotein cholesterol,procalcitonin(PCT),C-reactive protein,white blood cell count,national institutes of health stroke scale(NIHSS)score,clinical pulmonary infection(CPIS)score(P＜0.05).Correlation analysis showed that serum sFlt-1 level was positively correlated with sCD14(r=0.439,P＜0.001),and serum sFlt-1 and sCD14 levels were positively correlated with NIHSS score and CPIS score(P＜0.05).Multivariate Logistic regression analysis showed that sFlt-1,sCD14,proton pump inhibitor use,PCT,dysphagia,and age were the influencing factors of SAP in stroke patients(P＜0.05).ROC curve results showed that the area under the curve of serum sFlt-1 and sCD14 combined to evaluate SAP in stroke patients was higher than that of single detection(ZsFlt-1-combined=2.194,P=0.028,ZscD14-combined=2.310,P=0.002).Conclusion The serum levels of sFlt-1 and sCD14 are in-creased in SAP patients,and the combination of the two has a good diagnostic value for predicting the occur-rence of SAP.

Immunoglobulin (IgG) glycosylation affects the effector functions of IgG in a myriad of biological processes and has been closely associated with numerous autoimmune diseases, including systemic lupus erythematosus (SLE), thus underlining the pathogenic role of glycosylation aberration in autoimmunity. This study aims to explore the relationship between IgG sialylation patterns and lupus pregnancy. Relative to that in serum samples from the control cohort, IgG sialylation level was aberrantly downregulated in serum samples from the SLE cohort at four stages (from preconception to the third trimester of pregnancy) and was significantly associated with lupus activity and fetal loss during lupus pregnancy. The type I interferon signature of pregnant patients with SLE was negatively correlated with the level of IgG sialylation. The lack of sialylation dampened the ability of IgG to suppress the functions of plasmacytoid dendritic cells (pDCs). RNA-seq analysis further revealed that the expression of genes associated with the spleen tyrosine kinase (SYK) signaling pathway significantly differed between IgG- and deSia-IgG-treated pDCs. This finding was confirmed by the attenuation of the ability to phosphorylate SYK and BLNK in deSia-IgG. Finally, the coculture of pDCs isolated from pregnant patients with SLE with IgG/deSia-IgG demonstrated the sialylation-dependent anti-inflammatory function of IgG. Our findings suggested that IgG influences lupus activity through regulating pDCs function via the modulation of the SYK pathway in a sialic acid-dependent manner.
Humans ; Pregnancy ; Female ; Lupus Erythematosus, Systemic/pathology* ; Signal Transduction ; N-Acetylneuraminic Acid/metabolism* ; Immunoglobulin G ; Dendritic Cells/pathology*

BACKGROUND: Antenatal corticosteroids (ACS) can significantly improve the outcomes of preterm infants. This study aimed to describe the ACS use rates among preterm infants admitted to Chinese neonatal intensive care units (NICU) and to explore perinatal factors associated with ACS use, using the largest contemporary cohort of very preterm infants in China. METHODS: This cross-sectional study enrolled all infants born at 24 +0 to 31 +6 weeks and admitted to 57 NICUs of the Chinese Neonatal Network from January 1st, 2019 to December 30th, 2019. The ACS administration was defined as at least one dose of dexamethasone and betamethasone given before delivery. Multiple logistic regressions were applied to determine the association between perinatal factors and ACS usage. RESULTS: A total of 7828 infants were enrolled, among which 6103 (78.0%) infants received ACS. ACS use rates increased with increasing gestational age (GA), from 177/259 (68.3%) at 24 to 25 weeks' gestation to 3120/3960 (78.8%) at 30 to 31 weeks' gestation. Among infants exposed to ACS, 2999 of 6103 (49.1%) infants received a single complete course, and 33.4% (2039/6103) infants received a partial course. ACS use rates varied from 30.2% to 100% among different hospitals. Multivariate regression showed that increasing GA, born in hospital (inborn), increasing maternal age, maternal hypertension and premature rupture of membranes were associated with higher likelihood to receive ACS. CONCLUSIONS The use rate of ACS remained low for infants at 24 to 31 weeks' gestation admitted to Chinese NICUs, with fewer infants receiving a complete course. The use rates varied significantly among different hospitals. Efforts are urgently needed to propose improvement measures and thus improve the usage of ACS.
Humans ; Infant, Newborn ; Infant ; Pregnancy ; Female ; Gestational Age ; Infant, Premature ; Intensive Care Units, Neonatal ; Cross-Sectional Studies ; Adrenal Cortex Hormones/therapeutic use*

Pregnancy in patients with Eisenmenger syndrome (ES) is associated with high maternal mortality rates of 30%‒50%, or even up to 65% in the case of a cesarean section (Yuan, 2016). Here, we report a case of term pregnancy complicated with ES and severe pulmonary artery hypertension (PAH), which was managed by a multidisciplinary team (MDT) and resulted in an uncomplicated delivery via elective cesarean section. The goal of this study is to emphasize the importance of multidisciplinary approach in the management of pregnancy with ES, which can profoundly improve maternal and infant outcomes.
Female ; Humans ; Pregnancy ; Cesarean Section ; Eisenmenger Complex/therapy* ; Hypertension, Pulmonary/therapy* ; Maternal Mortality ; Pregnancy Complications, Cardiovascular/therapy* ; Pregnancy Outcome

Objective:To investigate the predictive value of MRI radiologic extranodal extension (rENE) for distant metastasis of prostate cancer (PCa).Methods:The data of 107 patients of initial visit with clinically diagnosed N1 PCa who underwent MRI and 68Ga-prostate specific membrane antigen (PSMA) PET/CT examinations were retrospectively analyzed at Xijing Hospital, Air Force Medical University from January 2017 to April 2022. The rENE was evaluated with MRI. According to the results of 68Ga-PSMA PET/CT, the patients were divided into the distant metastasis group (group M1, 87 cases) and the non-distant metastasis group (group M0, 20 cases). Independent sample t test, Mann-Whitney U test or χ 2 test were used to compare the differences in clinical indicators and rENE between the two groups. The multivariate logistic regression analysis was used to screen the independent risk factors affecting distant metastasis. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of independent risk factors for PCa distant metastasis. Results:In group M1, 72 cases (82.8%) were rENE positive and 15 cases (17.2%) were rENE negative, and in group M0, 7 cases (35.0%) were rENE positive and 13 cases (65.0%) were rENE negative, and there was a statistically significant difference in rENE between the two groups (χ 2=19.20, P<0.001). There were significant differences in total prostate specific antigen level, International Society of Urological Pathology grade and T stage between the group M1 and the group M0 ( P<0.05). Multivariate logistic regression analysis showed that rENE (OR=6.248, 95%CI 1.807-21.600, P=0.004) was an independent risk factor for distant metastasis of PCa, and the area under the ROC curve of rENE in the diagnosis of distant metastasis of PCa was 0.739 (95%CI 0.607-0.871), the sensitivity was 82.8%, and the specificity was 65.0%. Conclusion:rENE is an independent predictor of distant metastasis of PCa, which has a high efficacy. Compared with patients with rENE negative, PCa patients with rENE positive have a higher degree of invasion and are more likely to have distant metastasis.