Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.

Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.

Following the core outcome set standards for development(COS-STAD), this study aims to construct core outcome set(COS) for clinical research on traditional Chinese medicine(TCM) treatment of simple obesity. Firstly, a comprehensive review was conducted on the randomized controlled trial(RCT) and systematic review(SR) about TCM treatment of simple obesity that were published in Chinese and English databases to collect reported outcomes. Additional outcomes were obtained through semi-structured interviews with patients and open-ended questionnaire surveys for clinicians. All the collected outcomes were then merged and organized as an initial outcome pool, and then a preliminary list of outcomes was formed after discussion by the working group. Subsequently, two rounds of Delphi surveys were conducted with clinicians, methodology experts, and patients to score the importance of outcomes in the list. Finally, a consensus meeting was held to establish the COS for clinical research on TCM treatment of simple obesity. A total of 221 RCTs and 12 SRs were included, and after integration of supplementary outcomes, an initial outcome pool of 141 outcomes were formed. Following discussions in the steering advisory group meeting, a preliminary list of 33 outcomes was finalized, encompassing 9 domains. Through two rounds of Delphi surveys and a consensus meeting, the final COS for clinical research on TCM treatment of simple obesity was determined to include 8 outcomes: TCM symptom scores, body mass index(BMI), waist-hip ratio, waist circumference, visceral fat index, body fat rate, quality of life, and safety, which were classified into 4 domains: TCM-related outcomes, anthropometric measurements, quality of life, and safety. This study has preliminarily established a COS for clinical research on TCM treatment of simple obesity. It helps reduce the heterogeneity in the selection and reporting of outcomes in similar clinical studies, thereby improving the comparability of research results and the feasibility of meta-analysis and providing higher-level evidence support for clinical practice.
Humans ; Obesity/therapy* ; Medicine, Chinese Traditional ; Randomized Controlled Trials as Topic ; Treatment Outcome ; Drugs, Chinese Herbal/therapeutic use*

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 analyze the policy texts related to pediatric medications in China over the past decade,to explore the deficiencies in existing policy formulation from the perspective of stakeholders,and to propose reasonable optimization suggestions based on the current situation.Methods Collecting national-level policies related to pediatric drugs in China from 2013 to 2023,a two-dimensional policy analysis framework of"Policy tools-Stakeholder"were established.And the content analysis method was used to code,categorize,and statistically analyze the policy texts.Results A total of 54 pediatric drug policies were included in the analysis.In terms of policy tools,a total of 197 policy codes were formed,with environmental tools being the most prevalent with 92 codes(46.70％),primarily consisting of regulatory management tools(28 codes,30.43％).This was followed by supply-oriented tools with 53 codes(26.90％),mainly focused on the issuance of technical guidelines(21 codes,39.62％).Demand-oriented tools accounted for the least with 52 codes(26.40％),with inter-departmental collaboration tools having the highest proportion(17 codes,32.69％).In the dimension of stakeholders,a total of 223 policy codes were formed,with the government having the highest number of codes at 133(59.64％),followed by medical institutions with 56 codes(25.11％).The proportions for medical personnel,pharmaceutical companies,and patients were similar,with 14 codes(6.28％),11 codes(4.93％),and 9 codes(4.04％),respectively.Conclusions Pediatric drugs face challenges with policy tools where supply-oriented tools,particularly those providing financial support,suffer from insufficient policy depth and customization.The demand-oriented tools have a low proportion,leading to structural imbalance and underutilized effectiveness;the environment-oriented tools focus more on regulation than incentives,restricting the accessibility of pediatric drugs;the potential of multiple stakeholders is not fully activated,and there is a lack of policies centered around pediatric patients.To address these issues,supply-oriented policy tools need to establish a diversified financial support model and clearly define the scope of coverage.Demand-oriented policy tools require further adjustments to the catalog,procurement upgrades,and international collaborative research to reshape the pediatric drug security system.Environmental policy tools should enhance economic support,strengthen intellectual property rights,and implement targeted education to build a development ecosystem for pediatric drugs.Regarding stakeholders,it is essential to strengthen multi-stakeholder collaboration and optimize pediatric drug policy tools with a patient-centered approach.

Objective:To investigate the clinical efficacy of pancreatic cancer surgery with arterial resection.Methods:The clinicopathological and follow-up data of 135 patients undergoing pancreatectomies with arterial resection in Pancreas Center, the First Affiliated Hospital of Nanjing Medical University from Sep 2013 to Dec 2023 were retrospectively analyzed.Results:There were 77 males and 58 females, with age [ M( IQR)] of 63 (14) years old. Among the 135 patients, 122 (90.4%) were distal pancreatectomies, 8 (5.9%) were pancreaticoduodenectomies, 4 (3.0%) were total pancreatectomies and 1 (0.7%) was resection for local recurrence after distal pancreatectomy. There were 120 (88.9%) celiac axis resections, 11 (8.1%) hepatic artery resections, 1 (0.7%) superior mesenteric artery resection and 3 (2.2%) other artery resections. Simultaneous portal vein-superior mesenteric vein or organ resection accounted for 26.7% (36/135) and 29.6% (40/135),respectively. The median blood loss was 300 (300) ml and the median operation time was 275 (105) minutes. The 90-day mortality rate was 7.4% (10/135). The overall morbidity rate was 70.4% (95/135) while the major morbidity rate was 18.5% (25/135). Postoperative hemorrhage occurred in 8.9% (12/135), clinically relevant postoperative pancreatic fistula in 57.0% (77/135), bile leak in 0.74% (1/135), delayed gastric emptying in 9.6% (13/135), liver failure in 3.7% (5/135) and transient liver enzyme elevation in 44.4% (60/135). All of the 135 cases were confirmed as pancreatic cancer histologically, including 54.6% (71/130) moderately differentiated, 45.4% (59/130) poorly differentiated and no for well differentiated. The median tumor size was 4.5 (2.3) cm. The median number of harvested lymph nodes was 14 (13) and the percentage of N0, N1 and N2 according to AJCC 8th staging system was 27.1% (36/133), 52.6% (70/133) and 20.3% (27/133), respectively. The R 0 resection was achieved in 40 of 123 cases (32.5%), whose margins of specimens were assessed circumferentially based on the 1mm rule. The median overall survival time (MST) after surgery was 22.5 months, and the median progress-free survival time was 16.1 months. The overall survival rate at 1-, 2- and 5-year was 71.5%, 45.1% and 11.3%, respectively. The MST of patients who received no adjuvant therapy, chemotherapy after surgery was 8.4 months, 25.3 months, respectively. Conclusions:Pancreatectomy with arterial resection is generally safe and feasible. Survival outcome improves significantly when combined with adjuvant chemotherapy.

Objective:To screen the risk factors of acute kidney injury (AKI) in patients with multiple trauma, construct a prediction model accordingly, and evaluate its predictive value.Methods:A retrospective cohort study was performed to analyze the clinical data of 560 multiple trauma patients who were admitted to while Affiliated Hospital of Jiangsu University from January 2017 to June 2023, including 424 males and 136 females, aged 18-91 years [(55.5±15.0)years]. The patients were randomly divided into a training set ( n=392) and validation set ( n=168) with a ratio of 7∶3. Of all, 77 patients were combined with AKI in the training set, while 33 patients combined with AKI in the validation set. The AKI group and non-AKI group in the training set were compared in terms of gender, age, hypertension, diabetes, cause of injury, abbreviated injury scale (AIS) score of head and neck injury, AIS score of maxillofacial injury, AIS score of chest injury, AIS score of abdominal injury, AIS score of extremities and pelvic injury, AIS score of body surface injury, systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, Glasgow coma score (GCS) on admission, revised trauma score (RTS) on admission, acute physiology and chronic health assessment II (APACHE II) on admission, injury severity score (ISS) on admission, and laboratory test results on admission including white blood cell count, neutrophil count, lymphocyte count, C-reactive protein, hemoglobin, platelet count, activated partial thromboplastin time (APTT), prothrombin (PT), fibrinogen (FIB), thrombin time (TT), international normalized ratio (INR), D-dimer, blood lactate, base excess, total bilirubin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin, globulin, urea nitrogen, serum creatinine, blood glucose, potassium, sodium and chloronium. In the training set, univariate analysis and Lasso regression analysis were used to screen the risk factors of AKI in patients with multiple trauma, which were then included into multivariate logistic regression analysis to identify the independent risk factors. A nomogram prediction model was constructed using the R software based on the above independent risk factors. Hosmer-Lemeshow (H-L) goodness-of-fit test was performed to evaluate the fitting degree of the prediction model in the training set and the validation set, and the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve (DCA) were plotted in the training set and the validation set to evaluate the predictive performance of the prediction model. Results:There were statistically significant differences in AIS score of abdominal injury, heart rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, GCS on admission, RTS on admission, APACHE II on admission, ISS on admission as well as hemoglobin, platelet count, APTT, PT, FIB, TT, INR, blood lactate, base excess, AST, albumin, globulin, urea nitrogen, serum creatinine, blood glucose and sodium on admission between the AKI group and the non-AKI group ( P<0.05 or 0.01). The characteristic variables screened by Lasso regression analysis included AIS score of abdominal injury, red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drugs therapy, blood lactate on admission, blood creatinine on admission, AST on admission, and blood sodium on admission. Multivariate logistic regression analysis showed that red blood cell transfusion volume within 24 hour following admission ( OR=1.09, 95% CI 1.01, 1.18), mechanical ventilation ( OR=2.49, 95% CI 1.06, 5.85), vasoactive drug therapy ( OR=2.04, 95% CI 1.03, 4.03), blood lactate on admission ( OR=1.10, 95% CI 1.01, 1.21) and serum creatinine on admission ( OR=1.02, 95% CI 1.01, 1.03) were independent risk factors for AKI in patients with multiple trauma ( P<0.05). The regression equation was constructed: Logit[ P/(1- P)]=0.086 2×"red blood cell transfusion volume within 24 hour following admission"+0.912 7×"mechanical ventilation"+0.713 2×"vasoactive drug therapy"+0.098 9×"blood lactate on admission"+0.019 2×"serum creatinine on admission" -4.822 3. H-L goodness-of-fit test showed χ2 value of 9.50 in the training set ( P>0.05) and 6.43 in the validation set ( P>0.05). The results of the ROC curve indicated that the area under the curve (AUC) was 0.84 (95% CI 0.78, 0.89) in the training set and 0.80 (95% CI 0.72, 0.88) in the validation set. The calibration curves showed good agreement with the actual curves, with the predicted probability consistent with the actual probability in both training set and validation set. DCA analysis showed that the threshold probability ranged from 2% to 70% with the net benefit rate of the prediction model greater than 0 in the training set, while the threshold probability ranged from 3% to 69% with the net benefit rate of the prediction model greater than 0 in the validation set. Conclusions:Red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drug therapy, lactate and serum creatinine on admission are independent risk factors for AKI in patients with multiple trauma. The nomogram prediction model based on the above 5 predictive variables of AKI in patients with multiple trauma shows good predictive efficacy and clinical application value.

Objective:To establish a three-dimensional navigation process for design and resection of perforator flaps based on multi-detector computed tomography angiography (MDCTA) and to explore its clinical application effects.Methods:This study was a retrospective observational study. From January 2021 to October 2023, 7 patients and 6 patients with post-traumatic skin and soft tissue defects in extremity and conformed to the inclusion criteria were admitted to the Affiliated Hospital of Jiangsu University and Wuxi No. 9 People's Hospital, respectively. There were 8 males and 5 females, aged 21 to 68 years. Nine patients had wounds on the hand and 4 patients had wounds on the foot. The wound area after debridement ranged from 8.0 cm×6.0 cm to 18.0 cm×17.0 cm. Through the three-dimensional navigation process based on MDCTA, 14 perforator flaps were designed and resected, including 11 free anterolateral thigh perforator flaps and 3 pedicled peroneal artery perforator flaps with sural nerve nutritional vessel chain, with flap size ranging from 9.0 cm×6.0 cm to 20.0 cm×15.0 cm. Six wounds in the flap donor sites were directly sutured, and eight wounds in the flap donor sites were transplanted with skin grafts. The consistency of the location, type, and source of the perforators was compared between the preoperative navigation display and actual intraoperative detection. Immediately after surgery, the coverage of wound by the flap was evaluated according to the self-made criteria. The postoperative flap survival was observed. The occurrence of complications was observed during follow-up. At the last follow-up, the appearance of the flaps was observed, the blood supply of the flaps and the hand function of the 9 patients with hand trauma were evaluated according to the trial standards for evaluation of partial function of upper extremity by the Hand Surgery Society of Chinese Medical Association, and the foot function of the 4 patients with foot trauma was assessed using the American Orthopaedic Foot & Ankle Society Ankle-Hindfoot Scoring System.Results:The location, type, and source of the perforators displayed in preoperative navigation were consistent with the actual intraoperative detection. Immediately after surgery, the coverage of the wounds by 11 flaps was rated as excellent, and that of 3 flaps was rated as moderate. Postoperatively, 13 flaps survived completely, and 1 flap had partial necrosis, which healed after a full-thickness skin grafting from the thigh. Patients were followed up for 4 to 24 months postoperatively, one patient developed a hematoma under the flap, and one patient had local infection. At the last follow-up, the flaps of all patients were good in color and texture, and 5 patients with bloated flaps post operation had good appearance after thinning surgery; the blood supply was excellent in 12 flaps and was good in 2 flaps; among patients with hand trauma, the hand function was rated as excellent in 2 cases, good in 4 cases, and poor in 3 cases; among patients with foot trauma, the foot function was rated as excellent in 3 cases and good in 1 case.Conclusions:The three-dimensional navigation process for design and resection of perforator flaps based on MDCTA realizes precise evaluation of perforator vessels in flap donor sites and skin and soft tissue defects in the recipient sites. Guided by the three-dimensional navigation process, the application of free anterolateral thigh perforator flaps and pedicled peroneal artery perforator flaps with sural nerve nutritional vessel chain in repairing skin and soft tissue defects in extremity realizes precise surgery, reducing flap donor site injury and achieving excellent clinical outcomes.

Objective:To explore the early diagnostic value and related mechanism of Lnc-IL7R/Jumonji domain-containing protein 3(Jmjd3)/keratinocyte growth factor(KGF)axis in inflammatory injury of acute respiratory distress syndrome(ARDS).Methods:① RT-qPCR and Western blot were used to detect Lnc-IL7R,Jmjd3,KGF mRNA and protein levels,as well as trimethyl-ation of histone H3 at lysine 27(H3K27)me3 protein level in serum of ARDS patients;ELISA was used to detect IL-1β,IL-6,TNF-α levels in serum.② Mitochondrial damage-associated molecular patterns(MTDs)was used to stimulate HBE cells and create traumatic ARDS cell model.HBE cells were divided into control group,model group(MTDs group),overexpression Lnc-IL7R group(Lnc-IL7R group),overexpression control group(NC group),overexpression Lnc-IL7R+overexpression Jmjd3 group(Lnc-IL7R+Jm-jd3 group).Chromatin immunoprecipitation(ChIP)was used to detect Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in pro-moter region;qRT-PCR and Western blot were used to detect Lnc-IL7R,Jmjd3,KGF,IL-1β,IL-6,TNF-α mRNA and protein levels,as well as H3K27me3 protein level.③ Injection of MTDs into tail vein of mice was used to create traumatic ARDS mice model.Eighty mice were divided into control group,MTDs group,Lnc-IL7R group,NC group and Lnc-IL7R+Jmjd3 group,with sixteen mice in each group.HE staining was used to detect pathological damage in lung tissue;ChIP and RT-qPCR were used to detect Lnc-IL7R,Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in the promoter region and mRNA levels;ELISA was used to detect IL-1β,IL-6,TNF-α protein levels in BALF;Western blot was used to detect Jmjd3,KGF,H3K27me3 protein levels in lung tissue;immunohisto-chemical staining was used to detect surfactant protein C(SPC)and surfactant protein D(SPD)protein levels in lung tissue.Results:①Compared with healthy individuals,Lnc-IL7R,Jmjd3,KGF mRNA and protein levels,IL-1β,IL-6,TNF-α protein levels in serum of ARDS patients were significant increased,while H3K27me3 protein level was significant decreased(P<0.05).②Compared with control group,Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in the promoter region,H3K27me3 protein level in HBE of MTDs group were significant decreased,while Lnc-IL7R,Jmjd3,KGF,IL-1β,IL-6,TNF-α mRNA and protein levels,Lnc-IL7R were significant increased(P<0.05);after overexpression of Lnc-IL7R,Lnc-IL7R,Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in the promoter region,KGF mRNA and protein levels,H3K27me3 protein level were significant increased,Jmjd3,IL-1β,IL-6,TNF-α mRNA and protein levels in lung tissue and BALF were significant decreased(P<0.05);overexpression of Jmjd3 could partially reverse the effects of overexpression of Lnc-IL7R on the above indicators(P<0.05).③Compared with Control group,Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in the promoter region,H3K27me3 protein level in lung tissue of MTDs group were significant decreased,while Lnc-IL7R,Jmjd3,KGF,IL-1β,IL-6,TNF-α mRNA and protein levels,H3K27me3,SPC,SPD protein levels in lung tissue and BALF were significant increased(P<0.05);after overexpression of Lnc-IL7R,Lnc-IL7R,Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in the promoter region,KGF mRNA and protein levels,H3K27me3,SPC,SPD protein levels in lung tissue were significant increased,while Jmjd3,IL-1β,IL-6,TNF-α mRNA and protein levels in lung tissue and BALF were significant decreased(P<0.05);overexpression of Jmjd3 could partially reverse the effects of overexpression of Lnc-IL7R on the above indicators(P<0.05).Conclusion:Lnc-IL7R/Jmjd3/KGF axis participates in inflammation regulation and alveolar epithelial cell injury repair in ARDS by regulating histone methylation modifications in the promoter region.Lnc-IL7R/Jmjd3/KGF can be used for early diagnosis of ARDS.

Objective:To screen the risk factors of acute kidney injury (AKI) in patients with multiple trauma, construct a prediction model accordingly, and evaluate its predictive value.Methods:A retrospective cohort study was performed to analyze the clinical data of 560 multiple trauma patients who were admitted to while Affiliated Hospital of Jiangsu University from January 2017 to June 2023, including 424 males and 136 females, aged 18-91 years [(55.5±15.0)years]. The patients were randomly divided into a training set ( n=392) and validation set ( n=168) with a ratio of 7∶3. Of all, 77 patients were combined with AKI in the training set, while 33 patients combined with AKI in the validation set. The AKI group and non-AKI group in the training set were compared in terms of gender, age, hypertension, diabetes, cause of injury, abbreviated injury scale (AIS) score of head and neck injury, AIS score of maxillofacial injury, AIS score of chest injury, AIS score of abdominal injury, AIS score of extremities and pelvic injury, AIS score of body surface injury, systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, Glasgow coma score (GCS) on admission, revised trauma score (RTS) on admission, acute physiology and chronic health assessment II (APACHE II) on admission, injury severity score (ISS) on admission, and laboratory test results on admission including white blood cell count, neutrophil count, lymphocyte count, C-reactive protein, hemoglobin, platelet count, activated partial thromboplastin time (APTT), prothrombin (PT), fibrinogen (FIB), thrombin time (TT), international normalized ratio (INR), D-dimer, blood lactate, base excess, total bilirubin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin, globulin, urea nitrogen, serum creatinine, blood glucose, potassium, sodium and chloronium. In the training set, univariate analysis and Lasso regression analysis were used to screen the risk factors of AKI in patients with multiple trauma, which were then included into multivariate logistic regression analysis to identify the independent risk factors. A nomogram prediction model was constructed using the R software based on the above independent risk factors. Hosmer-Lemeshow (H-L) goodness-of-fit test was performed to evaluate the fitting degree of the prediction model in the training set and the validation set, and the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve (DCA) were plotted in the training set and the validation set to evaluate the predictive performance of the prediction model. Results:There were statistically significant differences in AIS score of abdominal injury, heart rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, GCS on admission, RTS on admission, APACHE II on admission, ISS on admission as well as hemoglobin, platelet count, APTT, PT, FIB, TT, INR, blood lactate, base excess, AST, albumin, globulin, urea nitrogen, serum creatinine, blood glucose and sodium on admission between the AKI group and the non-AKI group ( P<0.05 or 0.01). The characteristic variables screened by Lasso regression analysis included AIS score of abdominal injury, red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drugs therapy, blood lactate on admission, blood creatinine on admission, AST on admission, and blood sodium on admission. Multivariate logistic regression analysis showed that red blood cell transfusion volume within 24 hour following admission ( OR=1.09, 95% CI 1.01, 1.18), mechanical ventilation ( OR=2.49, 95% CI 1.06, 5.85), vasoactive drug therapy ( OR=2.04, 95% CI 1.03, 4.03), blood lactate on admission ( OR=1.10, 95% CI 1.01, 1.21) and serum creatinine on admission ( OR=1.02, 95% CI 1.01, 1.03) were independent risk factors for AKI in patients with multiple trauma ( P<0.05). The regression equation was constructed: Logit[ P/(1- P)]=0.086 2×"red blood cell transfusion volume within 24 hour following admission"+0.912 7×"mechanical ventilation"+0.713 2×"vasoactive drug therapy"+0.098 9×"blood lactate on admission"+0.019 2×"serum creatinine on admission" -4.822 3. H-L goodness-of-fit test showed χ2 value of 9.50 in the training set ( P>0.05) and 6.43 in the validation set ( P>0.05). The results of the ROC curve indicated that the area under the curve (AUC) was 0.84 (95% CI 0.78, 0.89) in the training set and 0.80 (95% CI 0.72, 0.88) in the validation set. The calibration curves showed good agreement with the actual curves, with the predicted probability consistent with the actual probability in both training set and validation set. DCA analysis showed that the threshold probability ranged from 2% to 70% with the net benefit rate of the prediction model greater than 0 in the training set, while the threshold probability ranged from 3% to 69% with the net benefit rate of the prediction model greater than 0 in the validation set. Conclusions:Red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drug therapy, lactate and serum creatinine on admission are independent risk factors for AKI in patients with multiple trauma. The nomogram prediction model based on the above 5 predictive variables of AKI in patients with multiple trauma shows good predictive efficacy and clinical application value.