OBJECTIVE: To assess the impact of albumin (Alb) administration on the prognosis of patients with acute kidney injury (AKI). METHODS: Clinical data of AKI patients in the intensive care unit (ICU) were retrospectively analyzed from the American Medical Information Mart of Intensive Care-IV (MIMIC-IV), including demographic data, acute physiology score (APS), comorbidities, vital signs, laboratory indicators, treatment status, ICU length of stay, and outcome indicators. The main outcome measure is ICU mortality. AKI patients were divided into Alb infusion group and Alb non infusion group based on whether they received Alb treatment. Multiple imputation was used to process missing data and eliminate variables that missing more than 30%. To ensure the stability of the results, propensity score matching (PSM) and inverse probability weighting (IPW) were used to correct the results. Using Kaplan-Meier survival curve and Cox proportional hazards regression model to evaluate the effect of Alb infusion on ICU survival rate in AKI patients. Perform subgroup analysis based on patient age, gender, and comorbidities to evaluate the prognostic effects of Alb on different patient subgroups. RESULTS: A total of 6 390 AKI patients were included, including 1 721 in the Alb infusion group and 4 669 in the Alb non infusion group. After adjusting for key covariates in the Cox regression model, compared with the Alb non infusion group, patients in the Alb infusion group were significantly younger in age, with APS III score, proportion of vasoactive drugs and continuous renal replacement therapy (CRRT) use, sepsis proportion, heart rate, respiratory frequency, aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatinine (Cr), lactic acid (Lac), and arterial partial pressure of carbon dioxide (PaCO₂) levels significantly higher. The proportion of hypertension, myocardial infarction, and congestive heart failure, as well as blood pressure, urine output, platelet count (PLT), and Alb levels were significantly lower. The results of univariate and multivariate Cox regression analysis on the raw data showed that the risk of death in the Alb infusion group was significantly lower than that in the Alb non infusion group [hazard ratio (HR) = 0.69, 95% confidence interval (95%CI) was 0.60-0.80, all P < 0.05]. The results after propensity score matching (PSM) and inverse probability weighting (IPW) processing are consistent with the original data trend (both P < 0.05). The Kaplan-Meier survival curve showed that the cumulative survival rate during ICU stay in the Alb infusion group was significantly higher than that in the Alb non infusion group (24.48% vs. 12.17%, Log-Rank test: χ² = 74.26, P < 0.05). Subgroup analysis shows that Alb infusion has a more significant survival benefit for AKI patients who use vasoactive drugs, have concurrent sepsis, and do not have liver disease. CONCLUSION Albumin infusion can decrease the ICU mortality of AKI patients.
Humans ; Retrospective Studies ; Acute Kidney Injury/mortality* ; Prognosis ; Male ; Female ; Middle Aged ; Aged ; Intensive Care Units ; Albumins/therapeutic use* ; Proportional Hazards Models ; Adult ; Databases, Factual

Objective To evaluate the effects of the method of blood-cooling and blood stasis-resolving on heart function and prognosis in patients with sepsis-induced myocardial dysfunction(SIMD).Methods Sixty patients with SIMD admitted to the department of critical care medicine of Affiliated Hospital of Nanjing University of Chinese Medicine from June 2022 to October 2024 were enrolled as study subjects.The patients were divided into treatment group and control group according to random number table,with 30 patients in each group.All patients received conventional treatments,the patients in the treatment group were given Taohe Chengqi decoction(Persicae Semen 12 g,Chinese rhubarb 12 g,Cinnamon twig 6 g,Licorice root 6 g and Sodium Sulfate 6 g),the decoction was concentrated to 200 mL and taken in 2 divided doses in the morning and evening,one dose daily;and the patients in the control group were given the same amount of warm water.The total course of treatment lasts for 7 days.The differences in indicators of cardiac function[brain natriuretic peptide(BNP),cardiac troponin I(cTnI),MB isoenzyme of creatine kinase(CK-MB),aspartate aminotransferase(AST)]and echocardiographic parameters[left ventricular ejection fraction(LVEF),left ventricular end-diastolic diameter(LVEDD),left ventricular end-systolic diameter(LVESD),mitral orifice early/late diastolic blood flow velocity ratio(E/A ratio),E/mitral and tricuspid valve ostia and the peak early diastolic velocity(E/e')]at admission,at 1st and 7th day after treatment,and prognosis indexes[mechanical ventilation time,intensive care unit(ICU)length of stay,total hospital stay,28-day survival rate]were compared between two groups.Draw the Kaplan-Meier survival curve and compare the difference in the 28-day cumulative survival rate between the two groups of patients.Results After 7 days therapy,LVEF of the treatment group was significantly higher than that the control(0.524±0.132 vs.0.458±0.118,P<0.05)and E/e'ratio of the treatment group was significantly lower than the control group[11.17(9.57,12.04)vs.11.82(11.28,13.72),P<0.05].There were no significant differences in the 28-day mortality and total hospital stay time between the two groups,but mechanical ventilation time[days:7.00(0.00,11.00)vs.12.50(3.50,21.75),P<0.05]and stay time of ICU[days:14.50(7.75,25.00)vs.21.00(14.25,31.50),P<0.05]in the treatment group were shorter than those in the control group.The Kaplan-Meier survival showed that the cumulative 28-day survival rate was similar between two groups(Log-Rank:χ2=1.448,P=0.229).Conclusion The method of blood-cooling and blood stasis-resolving could decrease mechanical ventilation time and length of stay in ICU of SIMD patients and could increase LVEF in the treatment group.

OBJECTIVE To explore the optimal parameters of simmered Rhei Radix et Rhizoma and the correlation between the chroma values and the intrinsic composition of simmered Rhei Radix et Rhizoma decoction pieces powder.METHODS The single-factor-response surface method was used to investigate the simmering temperature,simmering time,paper dosage and plant ash dos-age,the response surface experiment was carried out on the basis of the single factor experiment,the appearance traits,total anthraqui-nones,free anthraquinones,leachables,sennoside A and B contents were taken as indicators,the analytic hierarchy process(AHP)was used to give weights to each index,and the process was optimized.The chroma values of raw and simmered products were deter-mined by electronic eye,the correlation and regression analysis were carried out by SPSS22.0 software,and the chroma-component re-gression equation was constructed.RESULTS The optimal process of simmering Rhei Radix et Rhizoma was 140 ℃,5 times of plant ash,2 layers of wet paper wrapped and being simmered for 2.5 h.CONCLUSION The simmering process of Rhei Radix et Rhizoma optimized by AHP combined with response surface method is reasonable and feasible,the color of decoction pieces has a significant correlation with the component content,and the regression equation constructed is reliable,which can predict the intrinsic component content of decoction pieces through chroma values.

Objective:To construct a general deep learning dose prediction model applicable to radiotherapy for head and neck tumors, establish design methods for artificial intelligence (AI)-assisted radiotherapy plan and evaluate the accuracy of prediction.Methods:Radiotherapy plans of 818 patients who received radiotherapy for head and neck cancers from January 2018 to June 2021 in Cancer Hospital of Chinese Academy of Medical Sciences were enrolled. Patients involved 17 types of common head and neck cancers, and the prescribed dose covered 5 kinds of dose gradients ranging from 54 Gy to 73.92 Gy. And 1-2 cases per each cancer type (31 cases in total) were randomly selected as the validation set, and the remaining 787 cases were used as the training set to build a deep learning head and neck radiotherapy generalized dose prediction model. Then based on the dose prediction results of this model, a program was written to automatically generate inverse optimization condition scripts, which were sent back to the treatment planning system to achieve AI-assisted radiotherapy plan design. Among the patients who received radiotherapy in our hospital from June 2021 to January 2022, 1 patient for each disease type (17 cases in total) was selected to evaluate the AI-assisted plan design program and evaluate its clinical feasibility using paired t-test. Results:Dose prediction model accuracy evaluation revealed that in the 31-case validation set, there was no statistical difference in the evaluation metrics of clinical concern for organs at risks, except for the D 1 cm3 prediction for spinal cord planning risk volume, which was statistically different compared with the clinical reference plan. The AI-assisted plan design program had higher plan quality metric scores (37.88±6.42) than manual plans (35.00±7.63) in 17 test cases ( t=-1.00, P=0.166). The number of manual adjustments to the inverse optimization conditions was reduced from (5.47±2.97) times to (2.76±1.00) times for the AI-assisted plan compared to the manual-only plan ( t=4.12, P<0.001). And the number of outlined dose shaping structures was reduced from 7.35±3.98 to 3.12±1.18 ( t=5.61, P<0.001). Conclusions:The unified universal model of dose prediction established for different head and neck cancers has high accuracy in dose prediction for all types of head and neck tumor plans. The AI-assisted planning method established in this pattern can reduce the clinical workload of physicists and improve the efficiency of their work.

OBJECTIVE To explore the optimal parameters of simmered Rhei Radix et Rhizoma and the correlation between the chroma values and the intrinsic composition of simmered Rhei Radix et Rhizoma decoction pieces powder.METHODS The single-factor-response surface method was used to investigate the simmering temperature,simmering time,paper dosage and plant ash dos-age,the response surface experiment was carried out on the basis of the single factor experiment,the appearance traits,total anthraqui-nones,free anthraquinones,leachables,sennoside A and B contents were taken as indicators,the analytic hierarchy process(AHP)was used to give weights to each index,and the process was optimized.The chroma values of raw and simmered products were deter-mined by electronic eye,the correlation and regression analysis were carried out by SPSS22.0 software,and the chroma-component re-gression equation was constructed.RESULTS The optimal process of simmering Rhei Radix et Rhizoma was 140 ℃,5 times of plant ash,2 layers of wet paper wrapped and being simmered for 2.5 h.CONCLUSION The simmering process of Rhei Radix et Rhizoma optimized by AHP combined with response surface method is reasonable and feasible,the color of decoction pieces has a significant correlation with the component content,and the regression equation constructed is reliable,which can predict the intrinsic component content of decoction pieces through chroma values.

Oral squamous cell carcinoma(OSCC)accounts for over 90％of oral malignancies,with more than 370 000 new cases and approximately 188 000 deaths annually worldwide.In China,there are roughly 65 000 new cases and 35 000 deaths each year,showing a significant upward trend compared with 2015 statistics.Despite continuous advancements in treatment modalities,the 5-year survival rate remains stagnant at 50％-60％,where tumor heterogeneity and therapy resistance persist as fundamental barriers to precision oncology.To address these critical challenges,this study established a standardized bioban-king protocol for OSCC patient-derived organoids(PDOs)(Patent:Method for constructing an oral squa-mous cell carcinoma organoid bank,ZL202311378598.3).Through groundbreaking optimization of cul-ture media,enzymatic digestion kinetics,and stepwise cryopreservation,we achieved a biobanking suc-cess rate exceeding 95％and pioneered synchronous cultivation of matched primary tumors,lymph node metastases,and adjacent normal mucosa from individual patients,preserving spatial heterogeneity and stromal interactions.Leveraging this platform,we developed high-throughput drug screening:Quantified heterogeneity-driven differential chemoresponse using adenosine triphosphate(ATP)-based viability as-says;We discovered resistance mechanisms:Identified sialylated cancer IgG(SIA-cIgG)-mediated cis-platin resistance(primary/secondary)through PTPN13 suppression,with anti-SIA-cIgG combination therapy demonstrating synergistic efficacy.Besides,we elucidated metastatic drivers:CRISPR-Cas9-edited organoids revealed WDR54 promoted metastasis via H3K4me3/H4K16ac epigenetic reprogramming,activating epithelial-mesenchymal plasticity(EMP)and inducing partial epithelial-mesenchymal transi-tion(pEMT).This"holographic patient-mirroring"platform provided unprecedented resolution for OSCC precision therapy and had been formally incorporated into the Chinese Stomatological Association Techni-cal Guidelines(Technical guideline for establishing patient-derived oral squamous cell carcinoma or-ganoid banks,CHSA 2024-08).Future integration of immune-competent organoids,3D-bioprinted vas-culature,and multi-omics-AI systems will accelerate personalized oncology.These innovations will accelerate clinical translation of personalized therapeutic regimens,ultimately bridging the gap between bench research and bedside application.

Objective To evaluate the effects of the method of blood-cooling and blood stasis-resolving on heart function and prognosis in patients with sepsis-induced myocardial dysfunction(SIMD).Methods Sixty patients with SIMD admitted to the department of critical care medicine of Affiliated Hospital of Nanjing University of Chinese Medicine from June 2022 to October 2024 were enrolled as study subjects.The patients were divided into treatment group and control group according to random number table,with 30 patients in each group.All patients received conventional treatments,the patients in the treatment group were given Taohe Chengqi decoction(Persicae Semen 12 g,Chinese rhubarb 12 g,Cinnamon twig 6 g,Licorice root 6 g and Sodium Sulfate 6 g),the decoction was concentrated to 200 mL and taken in 2 divided doses in the morning and evening,one dose daily;and the patients in the control group were given the same amount of warm water.The total course of treatment lasts for 7 days.The differences in indicators of cardiac function[brain natriuretic peptide(BNP),cardiac troponin I(cTnI),MB isoenzyme of creatine kinase(CK-MB),aspartate aminotransferase(AST)]and echocardiographic parameters[left ventricular ejection fraction(LVEF),left ventricular end-diastolic diameter(LVEDD),left ventricular end-systolic diameter(LVESD),mitral orifice early/late diastolic blood flow velocity ratio(E/A ratio),E/mitral and tricuspid valve ostia and the peak early diastolic velocity(E/e')]at admission,at 1st and 7th day after treatment,and prognosis indexes[mechanical ventilation time,intensive care unit(ICU)length of stay,total hospital stay,28-day survival rate]were compared between two groups.Draw the Kaplan-Meier survival curve and compare the difference in the 28-day cumulative survival rate between the two groups of patients.Results After 7 days therapy,LVEF of the treatment group was significantly higher than that the control(0.524±0.132 vs.0.458±0.118,P<0.05)and E/e'ratio of the treatment group was significantly lower than the control group[11.17(9.57,12.04)vs.11.82(11.28,13.72),P<0.05].There were no significant differences in the 28-day mortality and total hospital stay time between the two groups,but mechanical ventilation time[days:7.00(0.00,11.00)vs.12.50(3.50,21.75),P<0.05]and stay time of ICU[days:14.50(7.75,25.00)vs.21.00(14.25,31.50),P<0.05]in the treatment group were shorter than those in the control group.The Kaplan-Meier survival showed that the cumulative 28-day survival rate was similar between two groups(Log-Rank:χ2=1.448,P=0.229).Conclusion The method of blood-cooling and blood stasis-resolving could decrease mechanical ventilation time and length of stay in ICU of SIMD patients and could increase LVEF in the treatment group.

Objective:To construct a general deep learning dose prediction model applicable to radiotherapy for head and neck tumors, establish design methods for artificial intelligence (AI)-assisted radiotherapy plan and evaluate the accuracy of prediction.Methods:Radiotherapy plans of 818 patients who received radiotherapy for head and neck cancers from January 2018 to June 2021 in Cancer Hospital of Chinese Academy of Medical Sciences were enrolled. Patients involved 17 types of common head and neck cancers, and the prescribed dose covered 5 kinds of dose gradients ranging from 54 Gy to 73.92 Gy. And 1-2 cases per each cancer type (31 cases in total) were randomly selected as the validation set, and the remaining 787 cases were used as the training set to build a deep learning head and neck radiotherapy generalized dose prediction model. Then based on the dose prediction results of this model, a program was written to automatically generate inverse optimization condition scripts, which were sent back to the treatment planning system to achieve AI-assisted radiotherapy plan design. Among the patients who received radiotherapy in our hospital from June 2021 to January 2022, 1 patient for each disease type (17 cases in total) was selected to evaluate the AI-assisted plan design program and evaluate its clinical feasibility using paired t-test. Results:Dose prediction model accuracy evaluation revealed that in the 31-case validation set, there was no statistical difference in the evaluation metrics of clinical concern for organs at risks, except for the D 1 cm3 prediction for spinal cord planning risk volume, which was statistically different compared with the clinical reference plan. The AI-assisted plan design program had higher plan quality metric scores (37.88±6.42) than manual plans (35.00±7.63) in 17 test cases ( t=-1.00, P=0.166). The number of manual adjustments to the inverse optimization conditions was reduced from (5.47±2.97) times to (2.76±1.00) times for the AI-assisted plan compared to the manual-only plan ( t=4.12, P<0.001). And the number of outlined dose shaping structures was reduced from 7.35±3.98 to 3.12±1.18 ( t=5.61, P<0.001). Conclusions:The unified universal model of dose prediction established for different head and neck cancers has high accuracy in dose prediction for all types of head and neck tumor plans. The AI-assisted planning method established in this pattern can reduce the clinical workload of physicists and improve the efficiency of their work.

Objective On the premise of meeting the image quality requirements of simulated location for pediatric radiotherapy,the simulated localizable CT parameters are optimized through phantom scanning to reduce the radiation dose.Methods CatPhan700 phantom was used to simulate the child's body,Philip 24-row large-aperture spiral simulated localizable CT was performed,and the CT images were obtained by scanning the phantom at different mAs and tube voltages.The mAs range was set at 60-400 mAs,the scanning was performed every 20 mAs interval,and the kV was set at 80,100,and 120 kV.Image evaluation was carried out using parameters such as image noise(N10 and mean SD),uniformity,low contrast resolution,high contrast resolution,and the stabilities of HU values of Air,Acrylic,50%bone,LDPE,20%bone,Teflon,Polystyrene,DelrinTM,Lung,PMP and Water.The CTDIVol and DLP automatically calculated by the simulated localizable CT system were read to evaluate the radiation dose.Results At 100 kV,as mAs increased,both CTDI and DLP showed upward trends,and the fitting results were linear correlated,with slopes of 0.034 5 and 0.932 4.Image noise was decreased nonlinearly with the increasing mAs.When mAs increased from 60 to 140 mAs,N10 decreased from 0.25%to 0.14%,and SD reduced from 3.74 HU to 2.54 HU.When mAs reached 180 mAs or higher,N10 fluctuated between 0.1%and 0.12%,the mean SD fluctuated between 2.0 and 2.5 HU,and the downward trends obviously slowed down.When mAs increased from 60 to 200 mAs,the low contrast resolution of the image dropped from 0.53 to 0.29.The image uniformity,high contrast resolution and HU values of different substances were less affected by mAs.The image quality of 100 kV and 200 mAs scanning was close to that of 120 kV scanning,but the image quality of 80 kV scanning failed to meet the clinical requirements.Conclusion In order to reduce the radiation dose as much as possible,the mAs should be set at 200 mAs when the tube voltage is set at 100 kV for a simulated cylinder with a diameter of 20 cm.In the actual simulation scanning for pediatric radiotherapy,the scanning parameters should be fine-tuned according to the phantom results and the actual physical characteristics of children to satisfy the optimization principle for radiation protection.

Objective To evaluate the effects of the multiple factors especially image geometric accuracy of the imaging system on the segmentations of target areas and organs-at-risk.Methods The study used phantoms to test the imaging performance of the 1.5T magnetic resonance(MR)linear accelerator system,including the assessments of MR image geometric distortion and the segmentation errors caused by factors such as image geometric distortion.Model 604-GS large field MR image distortion phantom was used to explore the geometric distortion of the MR images for MR-guided radiotherapy;and CIRS Model 008z upper abdominal phantom was used to analyze the segmentation errors of target areas and organs-at-risk.Results The average geometric distortion and maximum distortion of 3D T1WI-FFE images vs 3D T2WI-TSE images were 0.54 mm vs 0.53 mm and 1.96 mm vs 1.68 mm,respectively;and the control points of the large distortions were distributed at the edges of the phantom,which was consistent with the MR imaging characteristics previously reported.Compared with CT-based segmentation contour,the MDA was 1.17 mm and DSC was 0.91 for 3D T1WI-FFE,while MDA was 0.86 mm and DSC was 0.94 for 3D T2WI-TSE.Conclusion The study quantitatively assesses the geometric accuracy of the imaging system for MR-guided radiotherapy.The phantom-based contour analysis reveals that with CT image as gold standard,the segmentation error in MRI images meets the clinical requirements,and that 3D T2WI-TSE image is advantageous over 3D T1WI-FFE image in segmentation accuracy.