ObjectiveTo analyze the factors influencing meropenem-related liver injury （MRLI） and to explore their clinical predictive value. MethodsA retrospective case-control study was conducted， and the Chinese Hospital Pharmacovigilance System （CHPS） was used to establish a retrieval scheme. A total of 1 625 hospitalized cases using meropenem from January 2018 to December 2022 were collected. Patients were divided into case group （n=62） and control group （n=1 563） based on the presence or absence of liver injury. Clinical data and laboratory indicators from both groups were collected and analyzed. The t-test was used for comparison of normally distributed continuous data between the two groups， while the Mann-Whitney U test was used for comparison of continuous data not conforming to a normal distribution. The chi-square test was used for comparison of categorical data between the two groups. A multivariate Logistic regression analysis was performed to identify the influencing factors for MRLI. A Logistic regression equation was established， and the predictive value of these factors was assessed using the receiver operating characteristic （ROC） curve. ResultsThe results of univariate analysis indicated that the rates of male patients， hypoproteinemia， shock， intensive care unit （ICU） admissions， sepsis， and liver， gallbladder， and cardiovascular diseases， the levels of alanine aminotransferase （ALT）， alkaline phosphatase （ALP）， gamma-glutamyl transpeptidase （GGT）， aspartate aminotransferase （AST）， creatinine （CREA）， and procalcitonin （PCT）， and the number of hospitalization days were significantly higher in the case group than in the control group （P<0.05）， and that the platelet levels in the case group were significantly lower than those in the control group （P<0.05）. The multivariate Logistic regression analysis showed that male sex （odds ratio ［OR］=2.080， 95% confidence interval ［CI］： 1.050 — 4.123， P=0.036）， admission to the ICU （OR=8.207， 95%CI： 4.094‍ ‍—‍ ‍16.453， P<0.001）， comorbidity with gallbladder disease （OR=8.240， 95%CI： 3.605‍ ‍—‍ ‍18.832， P<0.001）， ALP （OR=1.012， 95%CI： 1.004‍ ‍—‍ ‍1.019， P=0.004）， GGT （OR=1.010， 95%CI： 1.005‍ ‍—‍ ‍1.015， P<0.001）， and PLT （OR=0.997， 95%CI： 0.994‍ ‍—‍ ‍0.999， P=0.020） were the influential factors for MRLI. The areas under the ROC curve of ALP， GGT， and PLT were 0.589， 0.637， and 0.595， respectively， and the AUC of them combined was 0.837. ConclusionMale sex， ICU admission， comorbidity with gallbladder disease， increased ALP， increased GGT， and decreased PLT were influencing factors for MRLI， and a combination of factors has a better predictive value for the occurrence of MRLI.

Objective: To develop a modified calculation formula for renal tumor volume and tumor contact surface area (CSA) based on the modeling results of 3D Slicer software, and to create a webpage of the calculation formula for use. Methods: The general information and tumor anatomical data of 98 patients who underwent partial nephrectomy during Jan.2021 and Jul.2023 in the Second Affiliated Hospital of Xi'an Jiaotong University were retrospectively analyzed.The imaging data were input into 3D Slicer software in the form of Dicom files for tumor and ipsilateral kidney modeling to obtain tumor anatomical data.The relationship between tumor anatomical parameters and tumor volume and CSA was analyzed using multifactorial linear regression.The initial modified formulas (V2, C2) and the optimized modified formulas (V3, C3) for tumor volume over CSA were established, respectively, after insignificant variables were eliminated.The mean square error (MSE) and Akaike information criterion (AIC) of the modified and traditional formulas (V1, C1) were compared, and the formula with the smallest MSE and AIC was selected as the optimal tumor volume and CSA calculation formula.The median tumor volume and CSA obtained from 3D modeling were used as the cutoff values.The optimal formula and conventional formula were applied to calculate tumor volume and CSA for all patients, and risk stratification was performed for all patients based on these cutoff values, and the perioperative indicators of patients in the upper and lower groups were compared.Finally, an online calculation tool was developed based on HTML. Results: Based on multifactorial linear regression analysis, we obtained the modified tumor volume calculation formula: V=0.382abc+2.488a+2.372b－4.146c+1.948（V2）, V=0.469abc－4.586c+13.816（V3）; the modified tumor CSA calculation formula CSA=2.469a －2.262L －19.23a+6.206b+1.212c+18.017L+1.616h－3.97h －2.185h/h －0.388（C2）, CSA=2.376a －2.144L －20.157a+5.024b+1.128c+17.578L+2.525h－2.634（C3）.Both of the modified volume formula (MSE=151.298 vs. 127.807 vs. 104.106) and modified CSA formula (MSE=309.878 vs.23.556 vs.30.388) had smaller errors compared to the conventional formula.The modified volume calculation formula showed that bleeding was more and thermal ischemia time was longer in patients with larger tumor volumes than in patients with smaller tumor volumes (P<0.05); and the modified CSA calculation formula showed that bleeding was more, surgery and thermal ischemia time were longer in patients with high CSA than in patients with low CSA (P＜0.05).Finally, V3 and C3 are selected as the best calculation formula, and a web page (https://lizihao-bot.github.io/RCC-Calculate/) was established for easy use. Conclusion: This study combined data from a medical information technology platform with numerical modeling methods to provide a faster and more accurate method to calculate the renal tumor volume and CSA.Meanwhile, a webpage version of the tool was developed to enhance its practicability.

OBJECTIVE To systematically evaluate the methodological quality of the postoperative chemotherapy guidelines/ consensuses for ovarian epithelial tumor. METHODS A search was conducted across databases including PubMed， Embase， Web of Science， CBM， VIP， Chinese Medical Journal Data， Wanfang Data， and CNKI， as well as the official websites of GIN， NICE， Medlive， AHRQ， CSCO， ASCO， and NCCN. The search period was from the establishment of the databases/websites to March 10， 2025. The quality of the included guidelines/consensus was evaluated by using the AGREE-Ⅱ tool. RESULTS A total of 16 guidelines/consensuses were included. The domain scores of AGREE-Ⅱ evaluation were as follows： scope and purpose of 85.07%， participants of 47.92%， rigor of development of 57.49%， clarity of presentation of 88.02%， applicability of 8.20%， and independence of 53.39%. Among them， 14 were recommended at grade B and 2 were recommended at grade C. The subgroup analysis by different countries/regions and different types of studies showed that the scores for participants， rigor of development， and independence of the guidelines/consensuses in China were significantly lower than foreign countries （P＜0.05）； the scores for participants and rigor of development of the guidelines were significantly higher than consensuses （P＜0.05）. The guideline/ consensus recommendation results indicated that grade B guidelines/consensus recommend platinum-based combination chemotherapy as the preferred adjuvant chemotherapy regimen for stage Ⅰ high-grade serous carcinoma patients；platinum-based combination chemotherapy±bevacizumab was recommended as the preferred adjuvant chemotherapy regimen for stage Ⅱ-Ⅳ high- grade serous carcinoma patients and for platinum-sensitive recurrent high-grade serous carcinoma patients； non-platinum single- agent chemotherapy±bevacizumab was recommended as the preferred chemotherapy regimen for platinum-resistant recurrent high- grade serous carcinoma patients. CONCLUSIONS The overall quality of postoperative chemotherapy guidelines/consensuses for ovarian epithelial tumor is not high. The methodological quality of guidelines/consensuses in China is still lagging behind that of foreign countries. The recommendations differ from those in foreign countries. It is recommended to improve the aspects of participants， rigor of development， and independence， to recommend treatment plans based on the different stages of ovarian cancer， and develop guidelines/consensuses that align with China’s national conditions.

Objective To explore the occurrence and development trajectories of symptoms at different time points in patients with acute pancreatitis (AP), and to analyze the influencing factors and preventive measures of development trajectories of AP symptom clusters. Methods A convenient sampling method was used to select AP who were admitted from January 2023 to December 2023 were selected and included in the study. The symptoms at different time points were recorded. The severities of symptom clusters in AP patients were explored, and the development trajectories of main symptom clusters were analyzed. Univariate and multivariate logistic regression analyses were used to analyze the influencing factors of development trajectories of symptom clusters in AP patients. Results The incidence rates of abdominal pain, dry mouth, abdominal distension and lack of energy were higher in AP patients during hospitalization. The incidence rates of lack of energy, anxiety, abdominal pain and sleep disturbance were higher on the 1^st month after discharge. The incidence rates of abdominal distension, abdominal pain, sleep disturbance and anxiety were higher on the 3^rd month after discharge. The incidence rates of anxiety, abdominal pain and irritability were higher on the 6^th month after discharge. The fatigue symptom cluster, psychological symptom cluster and gastrointestinal symptom cluster were extracted during hospitalization and on the 1^st month and the 3^rd month after discharge, and the psychological symptom cluster and gastrointestinal symptom cluster were extracted on the 6^th month. The severity scores of symptom clusters at each time point were statistically different (P<0.05). The development of gastrointestinal symptom cluster in AP patients was mainly low decline. The development of psychological symptom cluster was mainly high decline. Drinking history and diabetes mellitus were the influencing factors of development trajectory of gastrointestinal symptom cluster in AP patients (P<0.05). High disease severity, drinking history and biliary tract disease were the influencing factors of development trajectory of psychological symptom cluster in AP patients (P<0.05). Conclusion The symptom clusters of AP patients changes over time, with digestive, fatigue, and psychological symptoms being the main groups in the early stage, and psychological and digestive symptoms persisting in the later stage. Early identification and intervention are crucial for improving the prognosis of AP patients.

Objective To observe the effects of Levo-tetrahydropalmatine(l-THP)on the expression,regression and relapse of conditioned place preference(CPP)in ketamine induced rats,and to detect the content of dopamine(DA)in the striatum(caudate putamen,CPu)of the rat brain at different time points.Methods Ketamine addiction rat model was established by CPP.The effects of l-THP on the expression,regression and relapse of ketamine induced rat CPP were investigated using CPP score as the index.The content of DA in CPu of rats was determined by ultra-performance liquid chromatography coupled to tandem mass spectrometry(UPLC-MS/MS)after ketamine administration and l-THP intervention at 30 min,60 min,90 min,120 min and 150 min.Results It indicated that 1-THP could decrease the expression of CPP in ketamine induced rats,promote the process of CPP resolution and inhibit the process of relapse.In addition,l-THP combined with ketamine administration significantly inhibited the ketamine-induced increase in DA content in the CPu of the rats.Conclusion The mechanism of l-THP inhibiting the reward effect of ketamine may be related to blocking DA receptors and reducing the release of DA neurotransmitters.l-THP has potential implications for the treatment of ketamine addiction.

Objective:To investigate the clinicopathologic features and prognostic factors of breast cancer patients with tumor deposits in the ipsilateral axillary region.Methods:We retrospectively analyzed the clinicopathologic data and follow-up results of 155 patients with breast cancer diagnosed for the first time and complicated with tumor deposits in the ipsilateral axillary region in the Department of Thyroid-Breast-Vascular Surgery of Xijing Hospital from January 2008 to September 2018. Kaplan-Meier method was used for survival analysis. Log rank test was used for the univariate analysis of prognostic factors, and Cox regression was used for multivariate analysis.Results:The median disease free survival (DFS), median distant metastasis free survival (DMFS), and median overall survival (OS) of the 155 patients were 52.0 months, 66.6 months, and 102.2 months, respectively. The 5-year and 10-year DFS rates were 45.7% and 23.1%, the 5-year and 10-year DMFS rates were 56.9% and 28.9%, and the 5-year and 10-year OS rates were 79.3% and 46.0%, respectively. Multivariate Cox regression analysis showed that family tumor history ( HR=0.362, 95% CI: 0.140-0.937), clinical T stage (T3: HR=3.508, 95% CI: 1.380-8.918; T4: HR=2.220, 95% CI: 1.076-4.580), estrogen/progesterone receptor status ( HR=0.476, 95% CI: 0.261-0.866), number of tumor deposits ( HR=1.965, 95% CI:1.104-3.500) and neoadjuvant chemotherapy ( HR=1.961, 95% CI: 1.032-3.725) were independent influencing factors for DFS. Molecular subtype [human epidermal growth factor receptor-2(HER-2) positive and hormone receptor negative: HR=7.862, 95% CI: 3.189-19.379], number of tumor deposits ( HR=2.155, 95% CI: 1.103-4.212), neoadjuvant chemotherapy ( HR=5.002, 95% CI: 2.300-10.880) and radiotherapy ( HR=2.316, 95% CI: 1.005-5.341) were independent influencing factors of DMFS. Histological grade ( HR=4.362, 95% CI: 1.932-9.849), estrogen/progesterone receptor expression ( HR=0.399, 95% CI: 0.168-0.945), HER-2 expression ( HR=2.535, 95% CI: 1.114-5.768) and neoadjuvant chemotherapy ( HR=4.080, 95% CI: 1.679-9.913) were independent influencing factors of OS. Conclusions:The presence of tumor deposits weakens the influence of axillary lymph node status and distant metastases on the prognosis of breast cancer patients. Therefore, a clinicopathological staging system taking into account tumor deposits should be developed. Since the number of tumor deposits affects the risk of recurrence and metastasis of breast cancer patients, we recommend that the number of tumor deposits should be reported in detail in the pathological report after breast cancer surgery.

Objective:To investigate the clinicopathologic features and prognostic factors of breast cancer patients with tumor deposits in the ipsilateral axillary region.Methods:We retrospectively analyzed the clinicopathologic data and follow-up results of 155 patients with breast cancer diagnosed for the first time and complicated with tumor deposits in the ipsilateral axillary region in the Department of Thyroid-Breast-Vascular Surgery of Xijing Hospital from January 2008 to September 2018. Kaplan-Meier method was used for survival analysis. Log rank test was used for the univariate analysis of prognostic factors, and Cox regression was used for multivariate analysis.Results:The median disease free survival (DFS), median distant metastasis free survival (DMFS), and median overall survival (OS) of the 155 patients were 52.0 months, 66.6 months, and 102.2 months, respectively. The 5-year and 10-year DFS rates were 45.7% and 23.1%, the 5-year and 10-year DMFS rates were 56.9% and 28.9%, and the 5-year and 10-year OS rates were 79.3% and 46.0%, respectively. Multivariate Cox regression analysis showed that family tumor history ( HR=0.362, 95% CI: 0.140-0.937), clinical T stage (T3: HR=3.508, 95% CI: 1.380-8.918; T4: HR=2.220, 95% CI: 1.076-4.580), estrogen/progesterone receptor status ( HR=0.476, 95% CI: 0.261-0.866), number of tumor deposits ( HR=1.965, 95% CI:1.104-3.500) and neoadjuvant chemotherapy ( HR=1.961, 95% CI: 1.032-3.725) were independent influencing factors for DFS. Molecular subtype [human epidermal growth factor receptor-2(HER-2) positive and hormone receptor negative: HR=7.862, 95% CI: 3.189-19.379], number of tumor deposits ( HR=2.155, 95% CI: 1.103-4.212), neoadjuvant chemotherapy ( HR=5.002, 95% CI: 2.300-10.880) and radiotherapy ( HR=2.316, 95% CI: 1.005-5.341) were independent influencing factors of DMFS. Histological grade ( HR=4.362, 95% CI: 1.932-9.849), estrogen/progesterone receptor expression ( HR=0.399, 95% CI: 0.168-0.945), HER-2 expression ( HR=2.535, 95% CI: 1.114-5.768) and neoadjuvant chemotherapy ( HR=4.080, 95% CI: 1.679-9.913) were independent influencing factors of OS. Conclusions:The presence of tumor deposits weakens the influence of axillary lymph node status and distant metastases on the prognosis of breast cancer patients. Therefore, a clinicopathological staging system taking into account tumor deposits should be developed. Since the number of tumor deposits affects the risk of recurrence and metastasis of breast cancer patients, we recommend that the number of tumor deposits should be reported in detail in the pathological report after breast cancer surgery.

Objective:To understand the current status of nursing for chronic constipation patients accepted fecal microbiota transplantation and provide reference basis for constructing clinical nursing plan.Methods:From April to August 2021, a field research was conducted in the Tenth People′s Hospital of Tongji University. Data was collected by field observation and informal interview for 13 nurses and analyzed by three-level coding method of qualitative research.Results:The work content of the observation subjects could be divided into 3 items including entrance health education, donor management, bacterial fluid management and clinical nursing. It still needed being improved in donor management, health education, nursing of naso-jejunal tube, intestinal preparation, infusion of bacterial fluid, observation of complications and follow-up.Conclusions:It still needs further development in nursing for chronic constipation with fecal microbiota transplantation. It is urgent to establish donor follow-up team, conduct professional training for nurses, rely on mobile medical platform to improve quality of fecal microbiota transplantation, so as to promote the recovery of patients.

Objective:To analyze the risk factors related to the prognosis of patients with sepsis in intensive care unit (ICU), construct a nomogram model, and verify its predictive efficacy.Methods:A retrospective cohort study was conducted using data from Medical Information Mart for Intensive Care-Ⅳ 0.4 [MIMIC-Ⅳ (version 2.0)]. The information of 6 500 patients with sepsis who meet the diagnostic criteria of Sepsis-3 were collected, including demography characteristics, complications, laboratory indicators within 24 hours after ICU admission, and final outcome. Using a simple random sampling method, the patients were divided into a training set and a validation set at a ratio of 7∶3. The restricted cubic spline (RCS) was used to explore whether there was a linear relationship between each variable and the prognosis, and the nonlinear variables were truncated into categorical variables. All variables were screened by LASSO regression and included in multivariate Cox regression analysis to analyze the death risk factors in ICU patients with sepsis, and construct a nomograph. The consistency index, calibration curve and receiver operator characteristic curve (ROC curve) were used to evaluate the prediction efficiency of nomogram model. The decision curve analysis (DCA) was used to validate the clinical value of the model and its impact on actual decision-making.Results:Among 6 500 patients with sepsis, 4 551 were in the training set and 1 949 were in the validation set. The 28-day, 90-day and 1-year mortality in the training set were 27.73% (1?262/4?551), 34.76% (1?582/4?551), and 42.98% (1?956/4?551), respectively, those in the validation set were 27.24% (531/1?949), 33.91% (661/1?949), and 42.23% (823/1?949), respectively. Both in training set and the validation set, compared with the final survival patients, the death patients were older, and had higher sequential organ failure assessment (SOFA) score and simplified acute physiology scoreⅡ (SAPSⅡ), more comorbidities, less urine output, and more use of vasoactive drugs, kidney replacement therapy, and mechanical ventilation. By RCS analysis, the variables with potential nonlinear correlation with the prognosis risk of septic patients were transformed into categorical variable. The variables screened by LASSO regression were enrolled in the multivariate Cox regression model. The results showed that age [hazard ratio ( HR) = 1.021, 95% confidence interval (95% CI) was 1.018-1.024], SOFA score ( HR = 1.020, 95% CI was 1.000-1.040), SAPSⅡ score > 44 ( HR = 1.480, 95% CI was 1.340-1.634), mean arterial pressure (MAP) ≤ 75 mmHg (1 mmHg ≈ 0.133 kPa; HR = 1.120, 95% CI was 1.026-1.222), respiratory rate (RR; HR = 1.044, 95% CI was 1.034-1.055), cerebrovascular disease ( HR = 1.620, 95% CI was 1.443-1.818), malignant tumor ( HR = 1.604, 95% CI was 1.447-1.778), severe liver disease ( HR = 1.330, 95% CI was 1.157-1.530), use of vasoactive drugs within 24 hours ( HR = 1.213, 95% CI was 1.101-1.336), arterial partial pressure of oxygen (PaO 2; HR = 0.999, 95% CI was 0.998-1.000), blood lactic acid (Lac; HR = 1.066, 95% CI was 1.053-1.079), blood urea nitrogen (BUN) > 8.9 mmol/L ( HR = 1.257, 95% CI was 1.144-1.381), total bilirubin (TBil; HR = 1.023, 95% CI was 1.015-1.031), and prothrombin time (PT) > 14.5 s ( HR = 1.232, 95% CI was 1.127-1.347) were associated with the death of ICU patients with sepsis (all P < 0.05). Based on the above factors, a nomogram model was constructed, and the model validation results showed that the consistency index was 0.730. The calibration curve showed a good consistency between the predicted results of the nomogram model and observed results in the training and validation sets. ROC curve analysis showed that the area under the ROC curve (AUC) predicted by the nomogram model in the training set and the validation set for 28-day, 90-day and 1-year death risk was 0.771 (95% CI was 0.756-0.786) and 0.761 (95% CI was 0.738-0.784), 0.777 (95% CI was 0.763-0.791) and 0.765 (95% CI was 0.744-0.787), 0.677 (95% CI was 0.648-0.707) and 0.685 (95% CI was 0.641-0.728), respectively. DCA analysis showed that the nomogram model had significant net benefits in predicting 28-day, 90-day, and 1-year death risk, verifying the clinical value of the model and its good impact on actual decision-making. Conclusions:The death risk factors related to ICU patients with sepsis include age, SOFA score, SAPSⅡ score > 44, MAP ≤ 75 mmHg, RR, cerebrovascular disease, malignant tumors, severe liver disease, use of vasoactive drugs within 24 hours, PaO 2, Lac, BUN, TBil, PT > 14.5 s. The nomogram model constructed based on this can predict the death risk of ICU patients with sepsis.

Periarticular fracture of the shoulder is a common type of fractures in the elderly. Postoperative adverse events such as internal fixation failure, humeral head ischemic necrosis and upper limb dysfunction occur frequently, which seriously endangers the exercise and health of the elderly. Compared with the fracture with normal bone mass, the osteoporotic periarticular fracture of the shoulder is complicated with slow healing and poor rehabilitation, so the clinical management becomes more difficult. At present, there is no targeted guideline or consensus for this type of fracture in China. In such context, experts from Youth Osteoporosis Group of Chinese Orthopedic Association, Orthopedic Expert Committee of Geriatrics Branch of Chinese Association of Gerontology and Geriatrics, Osteoporosis Group of Youth Committee of Chinese Association of Orthopedic Surgeons and Osteoporosis Committee of Shanghai Association of Chinese Integrative Medicine developed the Chinese expert consensus on the diagnosis and treatment of osteoporotic periarticular fracture of the shoulder in the elderly ( version 2023). Nine recommendations were put forward from the aspects of diagnosis, treatment strategies and rehabilitation of osteoporotic periarticular fracture of the shoulder, hoping to promote the standardized, systematic and personalized diagnosis and treatment concept and improve functional outcomes and quality of life in elderly patients with osteoporotic periarticular fracture of the shoulder.