Objective To analyze the risk factors for meconium-stained amniotic fluid(MSAF)in preterm infants and the clinical outcome and prognosis of preterm infants.Methods Preterm infants with gestational age＜37 weeks delivered in Zhangjiajie People's Hospital from January 2022 to December 2023 were used as the study subjects,31 cases with MSAF were in MSAF group,and 31 cases of preterm infants hospitalized during the same period without MSAF were randomly paired in the ratio of 1∶1 to select with gestational age-body mass matching as non-MSAF group.Retrospective collection and analysis of pregnancy and perinatal conditions of mothers of preterm infants in two groups,comparing the differences of related factors between two groups of children;Logistic regression analysis of risk factors related to MSAF in preterm infants;comparing the complications and clinical outcomes of preterm infants in two groups.Results A total of 387 preterm infants with gestational age＜37 weeks were collected during the study period,including 31 preterm infants with comorbid MSAF,and the prevalence of MSAF in preterm infants was 8.0％.MSAF group had a higher incidence of advanced maternal age,premature rupture of membranes＞18 hours,antepartum fever,and cholestasis during pregnancy than non-MSAF group.Logistic regression analysis suggested that combined cholestasis during pregnancy and white blood cell count ≥ 30× 109/L within 6 hours after birth increased the incidence of MSAF in preterm infants.There was no statistically significant difference in the results of postnatal umbilical artery blood gas analysis between two groups of preterm infants.The proportion of leukocyte count ≥30×109/L,ultrasensitive C-reactive protein＞0.8 mg/L,and interleukin 6＞6 pg/L in MSAF group was higher than that of non-MSAF group in the 6 hours after birth.MSAF group had a higher incidence of intrauterine infectious pneumonia,feeding intolerance,and necrotizing small bowel colitis in neonates than non-MSAF group.Conclusion Advanced maternal age,intrauterine infections,and combined intrahepatic cholestasis during pregnancy may be the major risk factors for MSAF in preterm infants.MSAF preterm infants have a higher prevalence of intrauterine infectious pneumonitis,feeding intolerance,and necrotizing small bowel colitis in newborns,as well as longer hospital stays.

Objective To develop and implement a drug treatment pathway for the initial treatment of diffuse large B-cell lymphoma(DLBCL)and to provide a foundation for refined medication use and cost control management under the Diagnosis Related Groups(DRG)payment system.Methods Clinical pharmacists collaborated to develop a drug treatment pathway for the initial treatment of DLBCL,utilizing evidence-based medicine and evidence-based pharmacy principles.The PDCA(Plan-Do-Check-Act)cycle method was employed for administrative intervention.The hematology department served as a pilot unit to assess the impact on economic indicators,including inpatient costs,drug expenses,and DRG payment balance,as well as treatment efficacy and the incidence of adverse reactions.Results Compared to the control group,the RG13 intervention group exhibited a significant reduction in average total hospitalization costs and drug expenses,along with a decreased DRG payment balance deficits.All differences were statistically significant(P＜0.05).Conclusion The development and implementation of a drug treatment pathway for the initial treatment of DLBCL can effectively reduce treatment costs,prevent DRG overspending,and alleviate the economic burden on patients,while ensuring the safety and effectiveness of the treatment.

Objective To develop and implement a drug treatment pathway for the initial treatment of diffuse large B-cell lymphoma(DLBCL)and to provide a foundation for refined medication use and cost control management under the Diagnosis Related Groups(DRG)payment system.Methods Clinical pharmacists collaborated to develop a drug treatment pathway for the initial treatment of DLBCL,utilizing evidence-based medicine and evidence-based pharmacy principles.The PDCA(Plan-Do-Check-Act)cycle method was employed for administrative intervention.The hematology department served as a pilot unit to assess the impact on economic indicators,including inpatient costs,drug expenses,and DRG payment balance,as well as treatment efficacy and the incidence of adverse reactions.Results Compared to the control group,the RG13 intervention group exhibited a significant reduction in average total hospitalization costs and drug expenses,along with a decreased DRG payment balance deficits.All differences were statistically significant(P＜0.05).Conclusion The development and implementation of a drug treatment pathway for the initial treatment of DLBCL can effectively reduce treatment costs,prevent DRG overspending,and alleviate the economic burden on patients,while ensuring the safety and effectiveness of the treatment.

Space radiation is the most important environmental harmful factor in long-term manned spaceflight and deep space exploration, and it may produce deterministic and stochastic effects on tissues and organs. In-depth research into the biological effects, mechanisms, and protective measures of space radiation is essential and serves as an important foundation for exploring radiation biology and promoting major manned space projects. Firstly, this review introduces the spatiotemporal distribution characteristics of space radiation during low-earth orbit flights, manned lunar landings, and deep space exploration missions, as well as the health risks and challenges it posed to astronauts. Then, it discusses medical requirements and exposure limits, risk assessment, and protection technologies included in the space radiation protection system established internationally and over 30 years of Chinese manned spaceflight departments. Finally, it outlines the subsequent work and prospects for further research.

Objective To investigate the predictive value of combined radiomic features derived from chest CT scans with clinical characteristics for epidermal growth factor receptor(EGFR)gene mutations in non-small cell lung cancer(NSCLC).Methods A multi-center case-control study was conducted on the clinical data and CT images of 1 070 NSCLC patients from the radiology departments of the 3 medical institutions between January 2013 and October 2023.The 719 NSCLC patients from the First Affiliated Hospital of Army Medical University were randomly divided into a training set and an internal validation set in a ratio of 7∶3;The 173 patients in the Eastern Theatre General Hospital and the 178 patients in Army Medical Centre of PLA were assigned into the external validation set 1 and 2,respectively.Least absolute shrinkage and selection operator(LASSO)regression was employed to identify the optimal radiomic features,which were subsequently used to construct a radiomics model.Univariate and multivariate logistic regression analyses were applied to identify clinical features associated with EGFR mutation,thereby developing a clinical model.The radiomic and clinical features were subsequently combined to develop a comprehensive model.All the 3 classification models were built using random forest(RF)machine learning.The area under curve(AUC),accuracy,sensitivity and specificity were utilized to evaluate the predictive performance of the models.Calibration curve was plotted to assess the goodness of fit of the comprehensive model,while decision curve analysis was performed to assess the clinical utility of the model.Results The AUC value of the radiomics model was 0.762 4(95%CI:0.692 4～0.825 1),0.745 4(95%CI:0.671 1～0.814 3),and 0.724 7(95%CI:0.639 7～0.801 6),respectively,in the internal validation set,external validation set 1,and external validation set 2;The AUC value of the clinical prediction model was 0.691 7(95%CI:0.627 9～0.757 6),0.652 5(95%CI:0.576 7～0.729 1),and 0.779 2(95%CI:0.712 5～0.847 3),respectively in the above sets in turn;The comprehensive model constructed based on clinical features and radiomic features showed the best predictive efficacy,with an AUC value of 0.818 0(95%CI:0.757 7～0.874 3),0.782 4(95%CI:0.703 1～0.848 2),and 0.796 6(95%CI:0.718 1～0.868 6),respectively in the above sets.Calibration curve analysis indicated that the comprehensive model had a good fit,while decision curve analysis revealed that the model provided a favorable net benefit.Conclusion Our comprehensive model constructed based on chest CT radiomic features and clinical characteristics shows superior predictive performance for EGFR gene mutations in NSCLC across multiple center datasets,which may be helpful for clinical decision-making for treatment strategies.

Space radiation is the most important environmental harmful factor in long-term manned spaceflight and deep space exploration, and it may produce deterministic and stochastic effects on tissues and organs. In-depth research into the biological effects, mechanisms, and protective measures of space radiation is essential and serves as an important foundation for exploring radiation biology and promoting major manned space projects. Firstly, this review introduces the spatiotemporal distribution characteristics of space radiation during low-earth orbit flights, manned lunar landings, and deep space exploration missions, as well as the health risks and challenges it posed to astronauts. Then, it discusses medical requirements and exposure limits, risk assessment, and protection technologies included in the space radiation protection system established internationally and over 30 years of Chinese manned spaceflight departments. Finally, it outlines the subsequent work and prospects for further research.

Objective:To investigate the clinical diagnosis and treatment of granulomatous prostatitis（GP）in patients with Prostate Imaging Reporting and Data System（PI-RADS）scores ≥ 4 on magnetic resonance imaging（MRI）.Methods:The data of 12 GP patients with PI-RADS score ≥ 4 who were admitted to Beijing Chaoyang Hospital，Capital Medical University，from February 2015 to February 2025，were retrospectively analyzed. The patients were aged 51?73 years（mean 66 years）. Presenting complaints included elevated prostate-specific antigen（PSA）levels in 6 cases，prostatic mass in 2 cases，urinary retention in 3 cases，and gross hematuria in 1 case. All 12 patients had concomitant lower urinary tract symptoms. Medical history revealed pulmonary tuberculosis in 2 cases，testicular tuberculosis in 1 case，close contact with tuberculosis in 1 case（spouse diagnosed with pulmonary tuberculosis 5 years earlier），allergic granulomatous vasculitis in 1 case，and intravesical bacillus Calmette-Guérin（BCG）instillation in 1 case. Digital rectal examination（DRE）showed gradeⅠprostatic hyperplasia in 2 cases，grade Ⅱ in 9 cases，and grade Ⅲ in 1 case. Nodules were palpable in 6 patients. The median PSA was 7.20 ng/ml（ranging 1.11?21.90 ng/ml），with 2 cases < 4 ng/ml. Transrectal ultrasound was performed in 10 patients，and prostate volumes were ranging from 29.48 to 109.78 cm3，with 6 cases > 45 cm3. All 12 patients underwent MRI，and all demonstrated PI-RADS scores ≥ 4，typically presenting as low signal intensity on T2-weighted imaging，high signal on diffusion-weighted imaging（DWI），and low apparent diffusion coefficient（ADC）values. Contrast-enhanced MRI in 8 cases revealed heterogeneous enhancement. One patient underwent 68Ga-prostate-specific membrane antigen positron emission tomography-computed tomography（ 68Ga-PSMA PET-CT），which showed band-like increased uptake in the central zone. All 12 patients were preoperatively suspected of prostate cancer，of whom 10 underwent transrectal biopsy and 2 underwent transperineal biopsy. Pathological characteristics and follow-up results were analyzed. Treatment outcomes were analyzed，The International Prostate Symptom Score（IPSS），quality of life（QOL）score，maximum urinary flow rate（Q max），and post-void residual urine（PVR）volume were compared before and 1 month after treatment. Results:Histopathology confirmed GP in all cases，with chronic inflammation in 11 cases and acute inflammation in 1 case. Immunohistochemistry demonstrated positivity for CD68（macrophage marker），high-molecular weight cytokeratin（HCK），and reticulin staining；periodic acid-Schiff（PAS）and acid-fast staining were positive in 2 cases，corresponding to 1 patient with a prior history of pulmonary tuberculosis and 1 with testicular tuberculosis. Two patients underwent thulium laser enucleation of the prostate，while 10 received conservative treatment，including 2 patients with tuberculosis infection who were referred for anti-tuberculosis therapy and 8 patients treated with oral tamsulosin 0.2 mg once daily. Follow-up was completed in 10 patients：9 were followed for 1 ? 3 months（mean 2.4 months），and 1 patient was followed for 9 years before being diagnosed with prostate cancer. Two additional patients，whose pathological findings suggested a possible diagnosis of tuberculous granulomatous prostatitis，were advised to undergo anti-tuberculosis treatment at another hospital and were subsequently lost to follow-up. Among the 2 patients who underwent thulium laser enucleation，IPSS decreased from 26 and 25 to 6 and 5 respectively，QOL scores decreased from 6 and 5 to 1 and 0 respectively，Q max increased from 4.5 and 4.3 ml/s to 23.0 and 21.9 ml/s respectively. In the 8 patients treated conservatively，IPSS decreased from 18.45±7.17 to 14.45±5.03，and QOL score decreased from 5.09±1.04 to 4.09±0.70 at 1 month after treatment，showing significant improvement（ P < 0.05）. Additionally，one patient initially diagnosed with GP and managed conservatively remained stable for 9 years，but subsequently developed urinary retention and underwent thulium laser enucleation，with postoperative pathology confirming prostate cancer. Conclusions:Clinical manifestations of GP are nonspecific，and the condition can easily be mistaken for prostate cancer due to elevated PSA levels and PI-RADS scores ≥4. Some patients may present with acute urinary retention，but definitive diagnosis still relies on prostate biopsy and immunohistochemistry. Treatment should be individualized according to the underlying etiology，with medication as the mainstay，while transurethral surgical intervention may be considered in cases with obstruction. Although GP is a benign lesion，its potential association with prostate cancer warrants vigilance and emphasizes the importance of long-term follow-up.

In April 2022, a patient with a huge soft tissue defect in left lower limb was treated in the Department of Hand Microsurgery, Xuzhou Renci Hospital. The defect was 49 cm×20 cm in size. A huge conjoined abdominal flap was designed with perforating branch of right lateral circumflex femoral artery and inferior epigastric artery as the vascular pedicles. The total length of the conjoined flap was 66 cm with the width of 9-13 cm. An ipsilateral ALTF was taken and it was combined with the conjoined flap in parallel to form an extra-large flap for wound reconstruction. Twenty-two months after surgery, the flap in left leg was not significantly bloated and without ulceration in left heel. The affected leg was not hindering the patient from walking and slow running. Lower Extremity Function Score (LEFS) was used to evaluate the affected leg and a score of 61 was achieved. Only linear scars were left on the donor sites in thighs and abdomen without dysfunction, and scored 4 of Vancouver Scar Scale (VSS).

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective To evaluate the predictive value of deep learning features from chest CT images combined with clinical and radiomics features for epidermal growth factor receptor(EGFR)mutations in non-small cell lung cancer(NSCLC).Methods This case-control study retrospectively analyzed clinical and imaging data of 1 070 NSCLC patients from radiology departments at three hospitals(January 2013 to October 2023).Patients were divided into:a training set(n=502)and internal validation set(n=217)via 7∶3 randomization of 719 cases from the First Affiliated Hospital of Army Medical University;external validation set 1(n=173)from General Hospital of Eastern Theater Command;external validation set 2(n=178)from Daping Hospital of Army Medical University.Deep learning features were extracted using a 2.5D convolutional neural network(CNN)with ResNet101 backbone,radiomics features were derived from CT images,and clinical risk factors were identified to construct models.An integrated model combined deep learning,clinical,and radiomics features.All four models were developed using random forest(RF)classifiers.Calibration curves assessed goodness-of-fit,and decision curve analysis(DCA)evaluated clinical utility.Results The deep learning model achieved AUCs of 0.833 7(95%CI:0.770 6～0.884 7),0.815 1(0.741 6～0.882 8),and 0.810 1(0.745 2～0.873 6)in the internal and two external validation sets,respectively.Clinical models yielded AUCs of 0.731 0(0.660 2～0.802 1),0.746 0(0.666 4～0.824 9),and 0.813 4(0.743 1～0.883 6);radiomics models showed AUCs of 0.762 4(0.692 4～0.825 1),0.745 4(0.671 1～0.814 3),and 0.724 7(0.639 7～0.801 6).The integrated model demonstrated optimal performance with AUCs of 0.905 5(0.857 0～0.945 4),0.832 7(0.763 3～0.896 4),and 0.889 0(0.834 4～0.934 3).DCA indicated significant net benefit for EGFR prediction at threshold probabilities of 0.15～0.85 using the integrated model.Conclusion Deep learning features from CT images effectively predict EGFR mutation status in NSCLC.The integrated model combining deep learning,clinical,and radiomics features further enhances predictive performance.