BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

Integrin α _v β ₃ is overexpressed in various tumor cells and angiogenesis. To date, no drug has been proven to target it for therapy. A first-in-human study was designed to investigate the safety, pharmacokinetics, and dosimetry of ¹⁷⁷Lu-AB-3PRGD2, a novel integrin α _v β ₃-targeting radionuclide drug with an albumin-binding motif to optimize the pharmacokinetics. Ten patients (3 men, 7 women; aged 45 ± 16 years) with integrin α _v β ₃-avid tumors were recruited to accept ¹⁷⁷Lu-AB-3PRGD2 injection in a dosage of 1.57 ± 0.08 GBq (42.32 ± 2.11 mCi), followed by serial scans to obtain its dynamic distribution in the body. Safety tests were performed before and every 2 weeks after the treatment for 6-8 weeks. No adverse event over grade 3 was observed. ¹⁷⁷Lu-AB-3PRGD2 was excreted mainly through the urinary system, with intense radioactivity in the kidneys and bladder. Moderate distribution was found in the liver, spleen, and intestines. The estimated blood half-life was 2.85 ± 2.17 h. The whole-body effective dose was 0.251 ± 0.047 mSv/MBq. The absorbed doses were 0.157 ± 0.032 mGy/MBq in red bone marrow and 0.684 ± 0.132 mGy/MBq in kidneys. This first-in-human study of ¹⁷⁷Lu-AB-3PRGD2 treatment indicates its promising potential for targeted radionuclide therapy of integrin α _v β ₃-avid tumors. It merits further studies in more patients with escalating doses and multiple treatment courses.

Nigella sativa L. seeds have been traditionally utilized in Chinese folk medicine for centuries to treat vitiligo. This study revealed that the ethanolic extract of Nigella sativa L. (HZC) enhances melanogenesis and mitigates oxidative stress-induced cellular senescence and dysfunction in melanocytes. In accordance with established protocols, the ethanol fraction from Nigella sativa L. seeds was extracted, concentrated, and lyophilized to evaluate its herbal effects via 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assays, tyrosinase activity evaluation, measurement of cellular melanin contents, scratch assays, senescence-associated β-galactosidase (SA-β-gal) staining, enzyme-linked immunosorbent assay (ELISA), and Western blot analysis for expression profiling of experimentally relevant proteins. The results indicated that HZC significantly enhanced tyrosinase activity and melanin content while notably increasing the protein expression levels of Tyr, Mitf, and gp100 in B16F10 cells. Furthermore, HZC effectively mitigated oxidative stress-induced cellular senescence, improved melanocyte condition, and rectified various functional impairments associated with melanocyte dysfunction. These findings suggest that HZC increases melanin synthesis in melanocytes through the activation of the MAPK, PKA, and Wnt signaling pathways. In addition, HZC attenuates oxidative damage induced by H₂O₂ therapy by activating the nuclear factor E2-related factor 2-antioxidant response element (Nrf2-ARE) pathway and enhancing the activity of downstream antioxidant enzymes, thus preventing premature senescence and dysfunction in melanocytes.
Oxidative Stress/drug effects* ; Melanocytes/cytology* ; Cellular Senescence/drug effects* ; Nigella sativa/chemistry* ; Plant Extracts/pharmacology* ; Seeds/chemistry* ; Mice ; Animals ; Melanins/metabolism* ; Monophenol Monooxygenase/metabolism* ; Humans

Congenital orofacial cleft, the most common birth defect in the maxillofacial region, exhibits a wide range of prognosis depending on the severity of deformity and underlying etiology. Non-syndromic congenital orofacial clefts typically present with milder deformities and more favorable treatment outcomes, whereas syndromic congenital orofacial clefts often manifest with concomitant organ abnormalities, which pose greater challenges for treatment and result in poorer prognosis. This consensus provides an elaborate classification system for varying degrees of orofacial clefts along with corresponding diagnostic and therapeutic guidelines. Results serve as a crucial resource for families to navigate prenatal screening results or make informed decisions regarding treatment options while also contributing significantly to preventing serious birth defects within the development of population.
Humans ; Cleft Lip/diagnosis* ; Cleft Palate/diagnosis* ; Consensus ; Prenatal Diagnosis ; Female

Objective To explore the mechanism of Xiakucao Xiaoliu Mixture against non-small cell lung cancer （NSCLC）. Methods The effective components of Xiakucao Xiaoliu Mixture were screened by TCMSP, BATMAN-TCM database and literature reviews. The targets of effective components were predicted. NSCLC related targets were collected by GeneCards, OMIM, PharmGKB, TTD and Drugbank, combined with the differential genes of Xiakucao Xiaoliu Mixture against Lewis lung cancer mice. The intersection targets of Xiakucao Xiaoliu Mixture against NSCLC were obtained. Cytoscape software was used to construct the network diagram of traditional Chinese medicine-active ingredients-core targets. STRING database was used to construct PPI network diagram. GO function enrichment analysis and KEGG pathway enrichment analysis of the intersection targets were performed by Metascape database to predict the key targets and active components of Xiakucao Xiaoliu Mixture against NSCLC, and Schrodinger software was used to perform molecular docking verification. Results The 32 active components and 24 intersection targets of Xiakucao Xiaoliu Mixture against NSCLC were obtained. 11 core targets such as ESR1, MAPK1 were found. The mechanism of action may be related to 30 signaling pathways such as cellular senescence, receptor activation, prolactin signaling pathway. Conclusion The active components of Xiakucao Xiaoliu Mixture act on multiple targets and signaling pathways to regulate complex biological processes. By regulating ESR1 agsinst NSCLC, it may play an important role in improving the survival rate and prognosis of female patients.

Objective: To investigate the efficacy, nursing characteristics, and management of different desensitization strategies before allogeneic hematopoietic stem cell transplantation (allo-HSCT) among patients with high level of human leukocyte antigen (HLA) antibodies. Methods: A retrospective analysis was conducted on 82 patients with high levels of HLA antibodies who underwent allo-HSCT at the First Affiliated Hospital of Soochow University and Suzhou Hopes Hematonosis Hospital between January 2020 to November 2023. Patients were divided into two groups based on the desensitization strategy they received: the anti-CD20 monoclonal antibody combined with therapeutic plasma exchange (TPE) group (n=50) and the anti-CD20 monoclonal antibody combined with Protein A immunoabsorption group (n=32). The differences of efficacy between the desensitization strategies were analyzed. The safety of both desensitization strategies were assessed by close monitoring of adverse events throughout the treatment. The nursing characteristics and interventions specific to these strategies were comprehensively summarized. Results: There were no significant differences in age, gender, and diagnosis between the two groups of patients receiving different desensitization strategies (P>0.05). Following desensitization in the immunoadsorption group, the mean fluorescence intensity (MFI) levels of anti-HLA Class I antibody decreased significantly compared to initial screening (P=0.048), while the decrease in MFI values of anti-HLA Class II antibody was not statistically significant (P=0.173). In the TPE group, the MFI levels for both anti-HLA Class I and II antibodies after desensitization decreased significantly compared to initial screening (P=0.025 and 0.028, respectively). Monitoring of adverse events during desensitization treatment, found that patients in the immunoadsorption group experienced mild decreases in blood pressure during the process, with two patients developing severe hypotension. No allergic reactions occurred, and no damage of liver or kidney function was observed after the immunoadsorption. In the immunoadsorption group, a total of 19 patients underwent sera immunoglobulin assays before and after immunoadsorption. Compared to the initial screening, the immunoglobulin G (IgG) levels significantly decreased after immunoadsorption (P<0.001). In TPE group, 12 patients experienced mild hypotension during the plasma exchange process, but no severe hypotension was observed. One patient developed an allergic reaction. After the TPE treatment, no damage of liver or kidney function was observed, nor any decrease of IgG levels. In terms of safety of intravenous access, neither group experienced severe complications such as catheter-related bloodstream infections or deep vein thrombosis. In the TPE group, catheter occlusion occurred during the process of plasma exchange in 2 patients, while no such incident was observed in the immunoadsorption group. Patients of both groups exhibited anxiety and depression before treatment. After psychological care, the scores for anxiety and depression significantly decreased (P<0.001). Conclusion: Both desensitization strategies significantly decreased the HLA antibodies in highly sensitized patients with high level of HLA antibodies undergoing allo-HSCT. For patients receiving immunoabsorption, nursing care should focus on preventing and managing hypotension and implementing infection-prevention measures due to IgG depletion. In contrast, for those undergoing TPE, vigilant monitoring and prompt management of potential allergic reactions are essential components of nursing practice.

Objective To investigate the influencing factors of pulmonary and extrapulmonary acute re-spiratory distress syndrome(ARDS)caused by sepsis.Methods A total of 126 patients with ARDS admitted to the Department of Critical Care Medicine,General Hospital of Ningxia Medical University,from January 2022 to June 2024 were selected.Patients were divided into pulmonary ARDS and extrapulmonary ARDS groups based on the etiology of ARDS.General data,inflammatory indicators,and prognostic outcomes were compared between the two groups.COX regression analysis was used to identify prognostic factors.Results A-mong the 126 patients,72 were diagnosed with pulmonary ARDS and 54 with extrapulmonary ARDS.The pulmonary ARDS group had significantly lower SOFA scores,fewer organ dysfunctions,a lower incidence of arrhythmia,shorter mechanical ventilation duration,higher Murray scores,and higher Charlson Comorbidity Index(CCI)compared to the extrapulmonary ARDS group(P<0.05).Inflammatory markers,including pro-calcitonin(PCT),C-reactive protein(CRP),interleukin(IL)-4,IL-6,IL-10,and tumor necrosis factor-α(TNF-α),were significantly lower in the pulmonary ARDS group,while interferon-γ(INF-γ)levels were higher(P<0.05).For pulmonary ARDS,CCI and TNF-α were identified as independent risk factors for prog-nosis(P<0.05),with the combination of CCI and TNF-α yielding the highest predictive accuracy(AUC=0.81,95%CI:0.71-0.91).For extrapulmonary ARDS,CCI and CRP were independent risk factors(P<0.05),and their combination achieved the highest predictive performance(AUC=0.91,95%CI:0.84-0.98).Conclusion Inflammatory profiles between pulmonary and extrapulmonary ARDS caused by sepsis are different.CCI and TNF-α are independent risk factors for mortality in pulmonary ARDS,while CCI and CRP are independent risk factors in extrapulmonary ARDS.

Objective To explore the risk factors associated with the development of acute respir-atory distress syndrome(ARDS)in patients with severe traumatic brain injury(sTBI)and to construct and validate a risk prediction model for ARDS in these patients.Methods Clinical data from 371 sTBI patients admitted to Yangzhou Affiliated Hospital of Yangzhou University between January 2017 and December 2023 were retrospectively collected.Patients were randomly divided into modeling group(n=259)and validation group(n=112)at a 7-to-3 ratio.A nomogram model was constructed after screening for risk factors using the Least Absolute Shrinkage and Selection Operator(LASSO)and multivariate Logistic regression analysis.Model performance was evaluated using the receiver operating characteristic(ROC)curve,area under the curve(AUC),Hosmer-Lemeshow test,calibration curve,and deci-sion curve analysis(DCA).Results Statistically significant differences were observed in heart rate,respiratory rate,pupil size,percutaneous oxygen saturation(SpO2),Glasgow Coma Scale(GCS)score,Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score,head Ab-breviated Injury Scale(AIS)score,chest AIS score,emergency intubation,pulmonary infection,associated chest trauma,midline shift,blood transfusion within 12 hours of admission,fluid intake within 24 hours of admission,shock,mechanical ventilation,hemoglobin level,hematocrit,white blood cell count,prothrombin time,international normalized ratio,total protein,albumin,serum calcium,oxygenation index,and base excess between the two groups(P＜0.05).Multivariate Lo-gistic regression analysis revealed that SpO2,pulmonary infection,and fluid intake within 24 hours of admission were predictors of ARDS in sTBI patients.The Hosmer-Lemeshow test results for the modeling and validation groups showed good fit(x2=10.373,P=0.240;x2=13.21,P=0.105).DCA results for both groups indicated net benefit at threshold probabilities ranging from 0％to 72％and 0％to 50％,respectively.Conclusion SpO2,pulmonary infection,and fluid in-take within 24 hours of admission are risk factors for ARDS in sTBI patients.The model constructed using these factors demonstrates good performance and provides a reliable tool for clinical screening of high-risk ARDS populations among sTBI patients.

Objective:In critical care medicine, extubation is a pivotal step in the management of mechanically ventilated patients. Accurately determining the optimal timing for extubation is essential for minimizing complications and improving patient survival rates. However, reliable indicators to predict clinical outcomes following extubation remain scarce. This study aims to identify a novel and robust predictor of extubation success in critically ill patients, thereby providing clinicians with more precise decision-making support.Methods:This retrospective study analyzed data from adult patients who underwent mechanical ventilation and were evaluated for extubation across six intensive care units (ICUs) at Xiangya Third Hospital of Central South University between January 2019 and December 2021. Patients with a history of difficult airway, upper airway obstruction, or neuromuscular disorders affecting respiratory function were excluded. The primary outcome was the reintubation rate within 24 hours post-extubation. Categorical variables were analyzed using the chi-square test or Fisher’s exact test, while between-group differences were assessed with the Mann-Whitney U test. Significant predictors identified in univariate analysis were further evaluated via multivariate logistic regression. The diagnostic accuracy of the maximum inspiratory pressure/body mass index (MIP/BMI) ratio was determined using receiver operating characteristic (ROC) curve analysis, with the Youden index employed to establish the optimal cutoff value. Kaplan-Meier analysis and log-rank tests were used to compare extubation success rates between groups. Statistical analyses were performed using SPSS V28.0 and Stata v.16.0. Results:Diabetes comorbidity ( OR: 8.181, 95% CI: 1.659–40.338) and MIP/BMI ( OR: 0.140, 95% CI: 0.042–0.469) were identified as independent predictors of reintubation. The area under the ROC curve (AUROC) for MIP/BMI was 0.753, demonstrating good predictive accuracy. The optimal cutoff value for MIP/BMI was 1.26 cmH 2O/(kg·m 2), with a sensitivity of 55.3% and specificity of 92.3%. Kaplan-Meier analysis revealed a significantly higher reintubation rate in the low MIP/BMI group compared to the high MIP/BMI group ( P = 0.009), further validating its predictive utility. Conclusions:This study establishes MIP/BMI as a novel and clinically valuable predictor of extubation outcomes in critically ill patients. A cutoff value of 1.26 cmH 2O/(kg·m 2) was found to best predict successful extubation.

Objective To evaluate the effects of intermittent hypoxia-reoxygenation(IHR)on body weight,diet and water intake,circulating metabolites,and responses to central leptin injection in a rat model of diet-induced obesity(DIO).Methods Rat models of DIO established by 12-week high-fat diet(HFD)feeding were randomized into normoxia group(n=15),intermittent hypoxia group(6％O2,30 cycles/h,8 h/day for 4 weeks;n=15),and IHR group(2 weeks of intermittent hypoxia followed by 2 weeks of reoxygenation;n=15).Body weight,diet and water intake of the rats were recorded,and circulating leptin,IL-6,and Ang-Ⅱ levels were detected.After IHR treatment,the rats received intracerebroventricular injection of 4 μg leptin,and the hypothalamus and liver were taken 1 h later for detecting POMC,FRA-1 and FRA-2 expressions in the hypothalamus using immunohistochemistry,POMC,pSTAT3 and LepR expressions in the hypothalamus using Western blotting,and LepR mRNA expression in the hypothalamus and liver using RT-PCR.Results The rats in intermittent hypoxia group showed significantly increased weight gain,food intake and elevated systemic inflammatory cytokine levels.Intermittent hypoxia obviously inhibited the expression of POMC,lowered the expressions of FRA-1 and pSTAT3,reduced the responsiveness of the rats to exogenous leptin,and downregulated the mRNA and protein expression of LepR.Two weeks of reoxygenation treatment obviously reduced intermittent hypoxia-induced weight gain and metabolic disorder and improved leptin sensitivity of the rats.Conclusion Prolonged intermittent hypoxia impairs hypothalamic leptin signaling by downregulating LepR expression to promote weight gain in obese rats,which can be improved by reoxygenation treatment.