OBJECTIVES: To investigate the effect of orexin-A-mediated regulation of ionotropic glutamate receptors for promoting motor function recovery in rats with spinal cord injury (SCI). METHODS: Thirty-six newborn SD rats (aged 7-14 days) were randomized into 6 groups (n=6), including a normal control group, a sham-operated group, and 4 SCI groups with daily intrathecal injection of saline, DNQX, orexin-A, or orexin-A+DNQX for 3 consecutive days after PCI. Motor function of the rats were evaluated using blood-brain barrier (BBB) score and inclined plane test 1 day before and at 1, 3, and 7 days after SCI. For patch-clamp experiment, spinal cord slices from newborn rats in the control, sham-operated, SCI, and SCI+orexin groups were prepared, and ventral horn neurons were acutely isolated to determine the reversal potential and dynamic indicators of glutamate receptor-mediated currents under glutamate perfusion. RESULTS: At 3 and 7 days after SCI, the orexin-A-treated rats showed significantly higher BBB scores and grip tilt angles than those with other interventions. Compared with those treated with DNQX alone, the rats receiving the combined treatment with orexin and DNQX had significantly higher BBB scores and grip tilt angles on day 7 after PCI. In the patch-clamp experiment, the ventral horn neurons from SCI rat models exhibited obviously higher reversal potential and greater rise slope of glutamate current with shorter decay time than those from sham-operated and orexin-treated rats. CONCLUSIONS Orexin-A promotes motor function recovery in rats after SCI possibly by improving the function of the ionotropic glutamate receptors.
Animals ; Spinal Cord Injuries/drug therapy* ; Rats ; Rats, Sprague-Dawley ; Receptors, Ionotropic Glutamate/metabolism* ; Recovery of Function/drug effects* ; Orexins/pharmacology* ; Male ; Female ; Animals, Newborn ; Neuropeptides/pharmacology* ; Intracellular Signaling Peptides and Proteins/pharmacology*

Objective To develop a predictive model for guiding blood transfusion decisions in pediatric patients with traumatic brain injury(TBI)by identifying and analyzing key factors that influence blood transfusion requirements.Methods A retrospective analysis was conducted on the clinical data of 1,535 pediatric patients with TBI admitted to four medical institutions from January 1,2015,to December 31,2022.Patients were divided into two groups:those who received red blood cell transfusions during hospitalization and those who did not.Comparative analyses were performed on demographic,clinical,and laboratory data between these two groups.Logistic regression analysis was used to identify risk factors associated with in-hospital blood transfusion,and a predictive model was developed using a nomogram.The performance of this model was evaluated using a receiver operating characteristic(ROC)curve.Results Significant differences were observed between the blood transfusion and non-blood transfusion groups in terms of baseline demographics,clinical indicators,and laboratory test results(all P<0.05).Patients in the blood transfusion group exhibited significantly higher in-hospital mortality,compli-cation rates,use of mechanical ventilation,ICU admission rates,and length of stay compared to those in the non-blood transfusion group(all P<0.05).Multivariate logistic regression analysis identified heart rate,presence of other fractures,treatment methods,hemoglobin(Hb),platelet count(Plt),activated partial thromboplastin time(APTT),and D-dimer levels as independent risk factors for blood transfusion in TBI patients.The area under the ROC curve for the blood transfusion prediction model,based on these independent risk factors,was 0.95(95%CI:0.94～0.97),indicating excellent predictive accuracy.Calibration and decision curves further validated the robust-ness and reliability of the model's predictive capacity.Conclusions Heart rate,presence of other fractures,treatment methods,Hb,Plt count,APTT,and D-dimer levels serve as independent risk factors for blood transfusion in TBI patients.The prediction model developed based on these factors demonstrates excellent predictive performance,thereby guiding clinicians in making informed blood transfusion decisions and enhancing the success rate of patient outcomes.

Objective To develop a predictive model for guiding blood transfusion decisions in pediatric patients with traumatic brain injury(TBI)by identifying and analyzing key factors that influence blood transfusion requirements.Methods A retrospective analysis was conducted on the clinical data of 1,535 pediatric patients with TBI admitted to four medical institutions from January 1,2015,to December 31,2022.Patients were divided into two groups:those who received red blood cell transfusions during hospitalization and those who did not.Comparative analyses were performed on demographic,clinical,and laboratory data between these two groups.Logistic regression analysis was used to identify risk factors associated with in-hospital blood transfusion,and a predictive model was developed using a nomogram.The performance of this model was evaluated using a receiver operating characteristic(ROC)curve.Results Significant differences were observed between the blood transfusion and non-blood transfusion groups in terms of baseline demographics,clinical indicators,and laboratory test results(all P<0.05).Patients in the blood transfusion group exhibited significantly higher in-hospital mortality,compli-cation rates,use of mechanical ventilation,ICU admission rates,and length of stay compared to those in the non-blood transfusion group(all P<0.05).Multivariate logistic regression analysis identified heart rate,presence of other fractures,treatment methods,hemoglobin(Hb),platelet count(Plt),activated partial thromboplastin time(APTT),and D-dimer levels as independent risk factors for blood transfusion in TBI patients.The area under the ROC curve for the blood transfusion prediction model,based on these independent risk factors,was 0.95(95%CI:0.94～0.97),indicating excellent predictive accuracy.Calibration and decision curves further validated the robust-ness and reliability of the model's predictive capacity.Conclusions Heart rate,presence of other fractures,treatment methods,Hb,Plt count,APTT,and D-dimer levels serve as independent risk factors for blood transfusion in TBI patients.The prediction model developed based on these factors demonstrates excellent predictive performance,thereby guiding clinicians in making informed blood transfusion decisions and enhancing the success rate of patient outcomes.

Background::Copper and zinc are involved in the development of multiple malignancies; yet, epidemiological evidence on hepatocellular carcinoma (HCC) is limited. This study aimed to investigate the association between dietary intake and serum levels of copper and zinc with the risk of HCC.Methods::A total of 434 case-control pairs matched for sex and age (±1 year) were included in this study. Cases with newly diagnosed HCC were from the Guangdong Liver Cancer Cohort (GLCC) study, and healthy controls were from the Guangzhou Nutrition and Health Study (GNHS). A semi-quantitative 79-item food frequency questionnaire (FFQ) was used to assess habitual dietary intakes of copper and zinc. Serum levels of copper and zinc were measured by using inductively coupled plasma mass spectrometry. The copper (Cu)/ zinc (Zn) ratio was computed by dividing copper levels by zinc levels. Conditional logistic regression models were performed to calculate the odds ratio (OR) and 95% confidence intervals (CI) for per 1 standard deviation increase (per-SD increase) in copper and zinc levels.Results::Higher dietary intake (OR per-SD increase = 0.65, 95% CI: 0.44, 0.96, Ptrend = 0.029) and serum levels of zinc (OR per-SD increase = 0.11, 95% CI: 0.04, 0.30, Ptrend <0.001) were both associated with a lower risk of HCC. Subgroup analyses showed that the inverse association was only pronounced in men but not in women ( Pinteraction = 0.041 for dietary zinc intake and 0.010 for serum zinc levels). Serum copper levels (OR per-SD increase = 2.05, 95% CI: 1.39, 3.03, Ptrend = 0.020) and serum Cu/Zn ratio (OR per-SD increase = 6.53, 95% CI: 2.52, 16.92, Ptrend <0.001) were positively associated with HCC risk, while dietary copper intake and dietary Cu/Zn ratio were not associated with HCC risk. Conclusion::Zinc may be a protective factor for HCC, especially among men, but the effects of copper on HCC risk are not clear.

Objective To observe the role of dried tangerine peel in Yigong Powder improves iron metabolism and promotes red blood cell generation in anemia of chronic disease (ACD).Methods With a two-by-two factorial design,the Yigong Powder was divided into dried tangerine peel and Chenpi absent Decoction. According to the random number table method,32 zymosan-induced generalized inflammation (ZIGI) mice were randomly divided into the model group,the dried tangerine peel group,the Chenpi absent Decoction group,and the Yigong Powder group. The dried tangerine peel group,Chenpi absent Decoction group and the Yigong Powder group were given dried tangerine peel(3.083 g/kg),Chenpi absent Decoction(12.33g/kg),and Yigong Powder(15.413g/kg)by gavage to the corresponding group of mice. The model group was given an equal amount of physiological saline by gavage,and treated continuously for 7 days. After the completion of administration,the body weight of each group of mice was recorded. The hemoglobin content of each group of mice was detected using a fully automatic cell counter,the serum iron content was detected using colorimetry,the serum ferritin content was detected using enzyme-linked immunosorbent assay (ELISA),and the spleen index was calculated. The liver tissue inflammatory factors interleukin-1β (IL-1β),interleukin-6 (IL-6),tumor necrosis factor-α (TNF-α),interferon-γ (IFN-γ),interleukin-4 (IL-4),and interleukin-10 (IL-10) levels were detected using Luminex method. The mRNA expressions of liver tissue hepcidin gene (HAMP) and membrane iron transporter ( Fpn) were detected using real-time fluorescence PCR method. Results Dried tangerine peel and Chenpi absent Decoction both showed interactive effects in regulating hemoglobin,serum iron,serum ferritin content,improving spleen index,and regulating the mRNA expressions of HAMP,Fpn,as well as IL-1β and IFN-γ (P<0.05). Compared with the model group,dried tangerine peel significantly increased hemoglobin,serum iron content,and Fpn mRNA expression in ZIGI model mice,while decreasing ferritin content,spleen index,HAMP mRNA expression,and the levels of IL-1β,IL-6,TNF-α,and IFN-γ (P<0.05). Chenpi absent Decoction significantly increased serum iron content and Fpn mRNA expression in ZIGI model mice,while reducing spleen index,ferritin content,HAMP mRNA expression,and the levels of IL-1β and IFN-γ、IL-4 (P<0.05). Conclusion The effects of dried tangerine peel on inflammatory factors (IL-6 and TNF-α) and Fpn may play a key role in the improvement effects of Yigong Powder on ACD and iron metabolism.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To provide a basis for selecting the optimization method for intracavitary/interstitial brachytherapy (IC/ISBT) of cervical cancer by comparing graphical optimization (GO), inverse planning simulated annealing (IPSA), and hybrid inverse planning optimization (HIPO) using dosimetric and radiobiological models.Methods:This study selected 65 patients with cervical cancer who were treated with image-guided IC/ISBT. The afterloading therapy plans for these patients were optimized using GO, IPSA, and HIPO individually, with a prescription dose high-risk clinical target volume (HRCTV) D90 of 6 Gy. The non-parametric Friedman test and the non-parametric Wilcoxon rank test were employed to analyze the differences in duration, dose-volume parameters, and radiobiology between the three types of optimized plans. Results:Inverse planning optimization (IPSA: 46.53 s; HIPO: 98.36 s) took less time than GO (135.03 s). In terms of gross target volume (GTV) dose, the high-dose irradiation V150% (53.66%) was slightly higher in the HIPO-optimized plans, while the V200% (30.29%) was higher in the GO-optimized plans. The GO-optimized plans had a higher conformity index (CI; 0.91) than other plans, showing statistically significant differences. Compared with other plans, the HIPO-optimized plans showed the lowest doses of D1 cm 3 and D2 cm 3 at bladders and rectums and non-statistically significant doses at small intestines ( P > 0.05). In terms of the equivalent uniform biologically effective dose (EUBED) for HRCTV, the HIPO-optimized plans showed a higher value (12.35 Gy) than the GO-optimized plans (12.23 Gy) and the IPSA-optimized plans (12.13 Gy). Moreover, the EUBED at bladders was the lowest (2.38 Gy) in the GO-optimized plans, the EUBED at rectums was the lowest (3.74 Gy) in the HIPO-optimized plans, and the EUBED at small intestines was non-significantly different among the three types of optimized plans ( P = 0.055). There was no significant difference in the tumor control probability (TCP) predicted using the three types of optimized plans ( P > 0.05). The normal tissue complication probabilities (NTCPs) of bladders and rectums predicted using the HIPO-optimized plans were lower than those predicted using the GO- and IPSA-optimized plans( χ2 = 12.95-38.43, P < 0.01), and the NTCP of small intestines did not show significant differences ( P > 0.05). Conclusions:Among the three types of optimization algorithms, inverse optimization takes less time than GO. GO-optimized plans are more conformal than IPSA- and HIPO-optimized plans. HIPO-optimized plans can increase the biological coverage dose of the target volume and reduce the maximum physical/biological exposure and NTCP at bladders and rectums. Therefore, HIPO is recommended preferentially as an optimization algorithm for IC/ISBT for cervical cancer.

Objective:To establish a three-dimensional (3D) U-net-based deep learning model, and to predict the 3D dose distribution in CT-guided cervical cancer brachytherapy by using the established model.Methods:The brachytherapy plans of 114 cervical cancer cases with a prescription dose of 6 Gy for each case were studied. These cases were divided into training, validation, and testing groups, including 84, 11, and 19 patients, respectively. A total of 500 epochs of training were performed by using a 3D U-net model. Then, the dosimetric parameters of the testing groups were individually evaluated, including the mean dose deviation (MDD) and mean absolute dose deviation (MADD) at the voxel level, the Dice similarity coefficient (DSC) of the volumes enclosed by isodose surfaces, the conformal index (CI) of the prescription dose, the D90 and average dose Dmean delivered to high-risk clinical target volumes (HR-CTVs), and the D1 cm 3 and D2 cm 3 delivered to bladders, recta, intestines, and colons, respectively. Results:The overall MDD and MADD of the 3D dose matrix from 19 cases of the testing group were (-0.01 ± 0.03) and (0.04 ± 0.01) Gy, respectively. The CI of the prescription dose was 0.70 ± 0.04. The DSC of 50%-150% prescription dose was 0.89-0.94. The mean deviation of D90 and Dmean to HR-CTVs were 2.22% and -4.30%, respectively. The maximum deviations of the D1 cm 3 and D2 cm 3 to bladders, recta, intestines, and colons were 2.46% and 2.58%, respectively. The 3D U-net deep learning model took 2.5 s on average to predict a patient′s dose. Conclusions:In this study, a 3D U-net-based deep learning model for predicting 3D dose distribution in the treatment of cervical cancer was established, thus laying a foundation for the automatic design of cervical cancer brachytherapy.

Objective:To retrieve, evaluate, and summarize the best evidence for the assessment of gastrointestinal function in critically ill patients by bedside ultrasound.Methods:Guidelines, evidence summaries, group standards, expert consensus, systematic reviews, and randomized controlled trials on the assessment of gastrointestinal function in critically ill patients by bedside ultrasound were retrieved by computer on domestic and foreign guideline websites, society websites and databases based on evidence-based nursing. The search period was from January 1, 2010 to April 30, 2021. The quality of the article was independently assessed by two researchers using the Appraisal of Guidelines for Research and Evaluation Ⅱ and the critical appraisal tool of the Joanna Briggs Institute (JBI) in Australia (2016) . Combined with the judgment of the research team, the data from the article that met the criteria were extracted and the evidence was graded and recommended according to the JBI quality level of evidence system (2014 Edition) .Results:A total of 22 articles were included, involving 5 guidelines, 1 evidence summary, 1 group standard, 6 expert consensuses, 4 systematic reviews, and 5 randomized controlled trials. A total of 33 pieces of evidence were summarized from 6 aspects, namely, the feasibility of nurses applying bedside ultrasound, fundamentals of ultrasound assessment of gastrointestinal tract, ultrasound assessment of gastric contents, ultrasound assessment of gastric motility, ultrasound assessment of bowel, ultrasound guided enteral nutrition program.Conclusions:Nurses who have been systematically trained can use ultrasound to assess gastrointestinal function in critically ill patients in real time. Ultrasound-guided enteral nutrition for critically ill patients needs to be standardized and improved, and many studies need to be carried out.

Objective:To evaluate the efficacy of oral levothyroxine on abortion rate and preterm birth rate in pregnant women with thyroid autoimmunity (TAI) and normal thyroid function.Methods:The relevant studies of oral levothyroxine tablets in the treatment of TAI pregnant women were systematically searched in Pubmed, Cochrane, CBM, CNKI, VIP and Wanfang databases. The retrieval period was established until August 2020. Two researchers independently screened the literatures, extracted the data and evaluated the risk of bias in the included study. Meta-analysis was performed using Revman5.3 software.Results:1) Totally six eligible studies were all randomized controlled studies, involving 1427 patients. 2) Compared with control group, the meta-analysis suggests oral levothyroxine tablets cannot effectively reduce the preterm delivery rate and the abortion rate. 3) Further subgroup analysis of the data according to the natural pregnancy group and assisted reproduction group found that oral levothyroxine tablets in natural pregnancy women with TAI can effectively reduce the preterm delivery rate ( RR=0.54, 95% CI=0.31-0.95, P=0.03), but not reduce the abortion rate ( RR=0.86, 95% CI=0.69-1.06, P=0.15). However, oral levothyroxine tablets cannot reduce the abortion rate for TAI women conceived by reproductive technology ( RR=0.80, 95% CI=0.47-1.36, P=0.41). Conclusion:Oral levothyroxine tablets can effectively reduce the premature delivery rate of TAI women who are naturally pregnant, but it is not beneficial to reduce the abortion rate. There is only one study on TAI women who are pregnant with reproductive technology, so it is impossible to evaluate whether this population can benefit from taking levothyroxine tablets. In view of the above results, it is recommended that the two groups of patients be managed separately.