To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework.

Ulcerative colitis(UC)is a recurrent,chronic,nonspecific inflammatory bowel disease.Shaoyao Decoction has shown good efficacy in the treatment of UC,which mainly regulates the balance of cytokines to achieve the purpose of treating UC.This article reviewed the research progress in the mechanism of Shaoyao Decoction in the treatment of UC from two aspects of pro-inflammatory cytokines and anti-inflammatory cytokines.Research has shown that Shaoyao Decoction can regulate the body's immune response,alleviate intestinal inflammation,protect the intestinal mucosal barrier,restore normal structure and function of the colon mucosa through pro-inflammatory cytokines such as tumor necrosis factor-α,interferon-γ,interleukin(IL)-1β,IL-6,IL-8,IL-17,and anti-inflammatory cytokines such as transforming growth factor-β,IL-4,IL-10,IL-13,which can provide reference for UC related mechanism research and clinical treatment.

[Objective]To explore the effects of ZHANG's empirical formula directional drug delivery combined with auricular acupressure in treatment for postoperative pain in hand trauma due to Qi stagnation and blood stasis.[Methods]A total of 152 postoperative patients with hand trauma with Qi stagnation and blood stasis who were hospitalized in the Department of Hand and Foot Surgery at Hangzhou Fuyang Hospital of Orthopedics of Traditional Chinese Medicine from September 2023 to January 2024 were selected.The patients were randomly divided into control group,directed group,acupressure group and combined group,with 38 cases in each group.The control group received routine nursing care;the directed group received ZHANG's empirical formula for directed transdermal medication in addition to the regular care;the acupressure group received auricular acupressure treatment in addition to the regular care;and the combined group received both ZHANG's empirical formula for directed transdermal medication and auricular acupressure treatment in addition to the regular care.The numerical rating scale(NRS)pain scores,peripheral blood circulation levels of the affected limb at different time points before and after intervention,clinical efficacy,cumulative use of analgesics within 72 hours post-surgery and the occurrence of adverse reactions were compared among the four groups.[Results]Thirty minutes after intervention,the NRS scores of both combined group and acupressure group were lower than those of the other groups(P<0.05).From 12 to 72 hours after intervention,the NRS scores of combined group remained significantly lower than those of the other groups(P<0.05).The effective rates were 80.6%in control group,85.7%in directed group,88.9%in acupressure group and 91.4%in combined group,with statistically significant differences among the four groups(P<0.05).After intervention,statistically significant differences were observed in peripheral blood circulation of the affected limbs among the four groups(P<0.05),and combined group demonstrated superior outcomes compared with the others.Additionally,significant differences were found in cumulative analgesic consumption within 72 hours of post-surgery(P<0.05),where the control group showed the highest usage while the acupressure group and combined group exhibited the lowest.No adverse reactions were observed in any enrolled patients.[Conclusion]ZHANG's empirical formula directional drug delivery combined with auricular acupressure can effectively alleviate post-operative pain due to Qi stagnation and blood stasis in hand trauma,reduce the cumulative analgesic consumption within 72 hours post-surgery,and improve peripheral blood circulation in the affected limb,making it worthy of further promotion and application in clinical practice.

Objective:To explore the value of blood lactic acid (BLA), procalcitonin (PCT), and total bilirubin (TBil) in the diagnosis and prognosis evaluation of patients with trauma complicated with sepsis.Methods:The clinical data of 151 patients with severe trauma admitted to the Department of Emergency Medicine, Nanxishan Hospital of Guangxi Zhuang Autonomous Region from July 2019 to August 2023 were analyzed retrospectively. The patients were divided into the sepsis group (72 cases) and non-sepsis group (79 cases) according to the diagnosis. They were further divided into the death group (37 cases) and non-death group (114 cases) based on clinical outcomes. Clinical data were compared between groups. Receiver operating characteristic (ROC) curve was used to analyze the predictive efficacy of the above indicators, and Spearman correlation analysis was applied to evaluate the correlation between the indicators.Results:The levels of BLA, PCT, TBil, and Sequential Organ Failure Assessment (SOFA) score in the sepsis group were higher than those in the non-sepsis group (all P<0.05). The mortality rate of the sepsis group was significantly higher than that of the non-sepsis group, with a statistically significant difference [26/72(36.11%) vs 11/79(13.92%), χ 2=10.024, P=0.002]. The levels of BLA, PCT, TBil, and SOFA score in the death group were higher than those in the non-death group (all P<0.05). ROC curve analysis showed that the areas under the curve (AUC) of BLA, PCT, TBil, and their combination for diagnosing sepsis were 0.745, 0.826, 0.753, and 0.889 respectively; the sensitivity and specificity of the combined diagnosis of sepsis were 87.5% and 72.2%. The AUCs of BLA, PCT, TBil, and their combination for predicting the prognosis of sepsis were 0.644, 0.697, 0.614, and 0.713 respectively; the sensitivity and specificity of the combined prediction of sepsis prognosis were 64.9% and 71.1%. Among the 151 patients, the levels of BLA, PCT, TBil were positively correlated with SOFA score, with statistically significant differences ( r=0.3871, 0.4399, 0.4851, all P<0.001). Conclusions:BLA, PCT, and TBil levels have certain value in the early diagnosis and prognosis evaluation of patients with sepsis. The combined evaluation has the best efficacy and high guiding value in clinical practice.

Objective:Analysis of the composition of pathogen spectrum and prevalence characteristics in throat swabs of patients with acute respiratory infections (ARI) in Yucheng city, Henan province, from March to June 2023.Methods:After 1 153 throat swabs were collected from ARI patients in Yucheng, 18 respiratory pathogens were tested using a real-time fluorescence quantitative polymerase chain reaction (qPCR) method. The characterization of pathogens spectrum was analyzed.Results:A total of 1 153 throat swabs from ARI patients were collected from March to June 2023 in Yucheng, including 171 outpatients and 982 hospitalized patients. A total of 244 positive samples for common respiratory pathogens were detected (at least one pathogen per sample was detected). The total detection rate of respiratory pathogens was 21.16%, and the top three detection rates were, in descending order, human bocavirus (HBoV), enterovirus (EV), and human parainfluenza virus (HPIV). The main detection month for pathogens was May, with a detection rate of 42.3% (60/142). The main respiratory pathogens detected are HBoV, EV, and HPIV. The detection rate of the age group under 1 year old was the highest, at 25.1% (49/195), mainly consisting of HBoV, respiratory syncytial virus (RSV), and HPIV. The main clinical manifestations of respiratory pathogen-positive patients were fever and cough, and the clinical diagnosis was mainly lower respiratory tract infection, all of which were hospitalized patients.Conclusions:The respiratory pathogens in ARI patients were mainly HBoV, EV, and HPIV from March to June, 2023 in Yucheng. The peak of the epidemic was in May, mainly infecting children under 5 years of age.

Objective:To analyze the clinical characteristics and cytokines expression characteristics in infants with mild and severe respiratory syncytial virus (RSV) infection.Methods:From May 2023 to December 2023, plasma samples and clinical information were collected from 16 infants with RSV infection and 14 control infants. Cytek Aurora flow cytometry (Cytek, America) and Enzyme linked immunosorbent assay (ELISA) were used to detect the expression levels of 25 cytokines after mild and severe RSV infection.Results:Cough and nasal obstruction were the main clinical manifestations in infants with mild RSV infection, accompanied by polypnea, wheezing and other symptoms. The main symptoms of severe RSV infection were cough and rales, accompanied by fever and polypnea. In comparison with the control group, the expression levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-13, IL-22, TNF-α, IFN-α, IFN-β, MIP-1β, I-TAC, ENA-78, GROα, Eotaxin, and MCP-1 in the RSV infection group all exhibited an upregulation trend. Both IP-10 and MIP-3α demonstrated a downward trend in the RSV infection group; however, there was no statistically significant difference ( P>0.05). The levels of IL-10, IFN-γ, MIP-1α, and IL-8 in the RSV infection group were significantly higher than those in the control group, whereas the levels of MIG, TARC, and RANTES in the RSV infection group were significantly lower than those in the control group ( P<0.05). The levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-13, IL-22, IFN-β, IFN-γ, TNF-α, IL-8, I-TAC, MIP-1β, Eotaxin, and MCP-1 in the mild RSV infection group were significantly higher than those in the severe RSV infection group ( P>0.05). Among these, the levels of MIG, RANTES, TARC, MIP-3α, and ENA-78 in the mild infection group were all lower than those in the severe infection group. The expressions of ENA-78 and MIP-1α in the severe infection group were significantly higher than those in the mild infection group and also higher than those in the control group. There was no significant difference in IP-10 and GROα between the mild and severe RSV infection groups ( P>0.05). Conclusions:The differences in clinical features and cytokines between infants with mild and severe RSV infection provide important data support for the prevention and treatment of RSV infection in infants.

Objective:To develop a preoperative CT-based radiomics model integrating multidimensional features for the accurate prediction of TFE3-rearranged renal cell carcinoma（TFE3-rRCC）.Methods:This study retrospectively enrolled 865 pathologically confirmed renal cell carcinoma（RCC）patients in The First Affiliated Hospital of Naval Medical University from June 2013 to June 2023，including 60 cases of TFE3-rRCC and 805 cases of non-TFE3 RCC（comprising clear cell RCC，papillary RCC，and chromophobe RCC）. Among them，627 were male and 238 were female，with a mean age of（54.1 ± 12.7）years（range：14?82 years）. The median maximum tumor diameter was 4.0（2.6，6.0）cm. Based on the chronological order of CT examinations，the patients were divided into training（ n=478），validation（ n=206），and test（ n=181）sets in an approximate 6∶2∶2 ratio. Using precontrast and corticomedullary phase CT images，we extracted peritumoral imaging features，habitat features，3D radiomic features，and 2.5D deep learning radiomic features. A deep learning radiomics score（DLR-SCORE）prediction model was constructed using least absolute shrinkage and selection operator（LASSO）regression. The diagnostic performance of the model was evaluated by receiver operating characteristic（ROC）curve analysis，with the area under the curve（AUC）as the primary metric. Additionally，sensitivity，specificity，and accuracy were calculated based on the confusion matrix. Results:A total of 12 442 features were extracted from non-contrast and corticomedullary phase CT images，from which eight key features were selected to construct the DLR-SCORE model. The model demonstrated diagnostic accuracies for TFE3-rRCC of 98.5%（471/478）in the training set，81.6%（168/206）in the validation set，and 86.2%（156/181）in the test set. The AUC of ROC curve was 0.98（95% CI 0.96?1.00）in the training set，0.83（95% CI 0.71?0.94）in the validation set，and 0.88（95% CI 0.76?1.00）in the test set. In the test set，the DLR-SCORE model achieved a sensitivity of 88.9%（16/18）and a specificity of 85.9%（140/163）for detecting TFE3-rRCC. Conclusions:The DLR-SCORE model integrating multidimensional CT radiomics features demonstrated favorable predictive performance for TFE3-rRCC，offering a promising noninvasive tool to assist preoperative diagnosis.

Ulcerative colitis(UC)is a recurrent,chronic,nonspecific inflammatory bowel disease.Shaoyao Decoction has shown good efficacy in the treatment of UC,which mainly regulates the balance of cytokines to achieve the purpose of treating UC.This article reviewed the research progress in the mechanism of Shaoyao Decoction in the treatment of UC from two aspects of pro-inflammatory cytokines and anti-inflammatory cytokines.Research has shown that Shaoyao Decoction can regulate the body's immune response,alleviate intestinal inflammation,protect the intestinal mucosal barrier,restore normal structure and function of the colon mucosa through pro-inflammatory cytokines such as tumor necrosis factor-α,interferon-γ,interleukin(IL)-1β,IL-6,IL-8,IL-17,and anti-inflammatory cytokines such as transforming growth factor-β,IL-4,IL-10,IL-13,which can provide reference for UC related mechanism research and clinical treatment.

Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.

Objective:To study the risk factors for combined bacterial/fungal infections in patients with severe fever with thrombocytopenia syndrome (SFTS) and to develop a novel and validated prediction model.Methods:The basic data and the results of the first laboratory examination after admission were retrospectively collected from patients diagnosed with SFTS who were hospitalized in the First Affiliated Hospital, Nanjing Medical University from January 2018 to December 2022. The patients were categorized into co-infected and non-co-infected groups according to whether they had co-infections with bacterial/fungal infections or not.Independent risk factors were screened by multivariate logistic regression analyses. A novel prediction model was constructed, and the predictive value of the model was assessed using receiver operating characteristic curve. Non-parametric tests and chi-square test were used for statistical analysis.Results:A total of 294 patients were included, and 62 cases were in the combined infection group including 39 cases of simple respiratory tract infections, 11 cases of simple bloodstream infections, four cases of simple urinary tract infections, four cases of respiratory tract combined with bloodstream infection, and four cases of respiratory tract combined with urinary tract infection. Acinetobacter baumannii was mostly found in bacterial infections, with a total of 19 strains, followed by Escherichia coli and Pseudomonas aeruginosa, both with seven strains. Aspergillus were mostly common in fungi, with a total of 16 strains which were all collected from patients with pulmonary infections. Compared with the non-co-infected group, patients in the co-infected group had longer hospital stays, with statistically significant differences ( Z=-6.18, P<0.001). The patients also had higher frequencies of bleeding symptoms, neurological symptoms, severe illness, and death, with statistically significant differences ( χ2=23.91, 16.37, 15.51 and 15.58, respectively, all P<0.001). The aspartate transaminase-to-platelet ratio index (APRI) was also higher in patients with coinfection, with a statistically significant difference ( Z=-4.64, P<0.001). Multivariate binary logistic regression showed that severe illness (odds ratio ( OR)=2.567, 95% confidence interval ( CI) 1.344 to 4.904, P=0.004), blood glucose level higher than 7.782 mmol/L ( OR=4.766, 95% CI 2.493 to 9.109, P<0.001), procalcitonin level higher than 0.228 μg/L ( OR=2.487, 95% CI 1.289 to 4.799, P=0.007), and APRI value higher than 6.268 ( OR=3.032, 95% CI 1.404 to 6.548, P=0.005) were the independent risk factors for co-infections in SFTS patients. Disease severity, blood glucose, procalcitonin, and APRI were combined to construct a novel predictive model: Infect-risk score=-3.331+ 0.654×severity (severe=1, non-severe=0)+ 0.160×blood glucose+ 0.066×procalcitonin+ 0.013×APRI. The AUC for this score was 0.764 (95% CI 0.698 to 0.830, P<0.001), with Youden index of 0.416, sensitivity of 0.839, and specificity of 0.578. Conclusions:Severe illness, blood glucose levels higher than 7.782 mmol/L, procalcitonin levels above 0.228 μg/L, and APRI values above 6.268 are independent risk factors for bacterial/fungal coinfection in SFTS patients. The constructed Infect-risk score model has good predictive value for bacterial/fungal coinfection in SFTS patients.