In June 1958, the first specialized acupuncture hospital, the Affiliated Acupuncture Experimental Hospital of Jiangsu Provincial School of TCM, was established in Nanjing. This hospital was founded under the initiative of Mr. CHENG Dan'an, the founder of the Chengjiang School of Acupuncture. Centered on clinical acupuncture, the hospital also carried out research and teaching, forming an integrated development model of medical care, education, and research. Its development experience, including a clear hospital-running philosophy, orientation toward solving clinical needs, and deep integration of medical care, education, and research, provides important historical references for the construction of modern specialized acupuncture hospitals.
China ; History, 20th Century ; Acupuncture Therapy/history* ; Humans ; Acupuncture/education* ; Hospitals, Special/history*

Objective:To assess the predictive efficacy of 18F-FDG PET/CT-based radiomics models for the mutation status of Kirsten rats sarcoma viral oncogene homolog (KRAS) in patients with non-small cell lung cancer (NSCLC). Methods:From January 2016 to January 2021, the 18F-FDG PET/CT images and KRAS testing of 258 NSCLC patients (180 males, 78 females; age: 33-91 years) in the First Affiliated Hospital of the Air Force Military Medical University were retrospectively analyzed. Patients were randomly divided into training set ( n=180) and validation set ( n=78) in the ratio of 7∶3. Tumor lesions on PET and CT images were drawn respectively, and the radiomics features of PET and CT lesions were extracted. The radiomics features were screened by least absolute shrinkage and selection operator (LASSO). CT radiomics score (RS) model, PET/CT RS model and composite models of PET/CT RS combined with screened clinical information were eventually developed. ROC curves were used to assess the predictive efficacy of these models. Results:The CT RS model included 4 radiomics features and the PET/CT RS model included 4 CT radiomics features and 8 PET radiomics features. The CT RS model and the PET/CT RS model both had significant differences in RS between KRAS mutant and wild-type patients in the training set and validation set ( z values: from -8.30 to -4.10, all P<0.001). In predicting KRAS mutations, the composite model of PET/CT RS combined with age showed AUCs of 0.879 and 0.852 in the training and validation sets respectively, which were higher than those of the CT RS model (0.813 and 0.770) and the PET/CT RS model (0.858 and 0.834). The accuracy of the composite model of PET/CT RS combined with age were 81.67%(147/180) and 79.49%(62/78) in the training set and validation set respectively, which were also higher than those of the CT RS model (75.00%(135/180) and 74.36%(58/78)) and the PET/CT RS model (78.89%(142/180) and 78.21%(61/78)). Conclusion:Models based on radiomics features can predict KRAS gene mutation status, and the composite model combining PET/CT RS and age can improve the prediction performance.

Objective:To provide evidence for optimizing the screening strategy for gastric cancer (GC), we evaluated the risk of incident GC for individuals with different precancerous gastric lesions in a prospective cohort study.Methods:Based on the National Upper Gastrointestinal Cancer Early Detection Program launched in Linqu, Shandong, a high-risk area of gastric cancer in China, we included a total of 14 087 subjects diagnosed with different gastric lesions stages by endoscopic screening from 2012 to 2018. Study subjects were prospectively followed up until December 31, 2019. The incidence of GC during the follow-up was ascertained by repeated endoscopic examinations, cancer, death registry reports, and active follow-up of study subjects and was confirmed by reviewing medical records extracted from the hospital information management system. The Poisson regression model was applied to calculate the relative risk ( RR) and 95% CI for GC occurrence among subjects with different gastric lesions. Results:Among 14 087 subjects with different gastric lesions as determined by their first endoscopic examination in 2012-2018, 7 608 (54.00%) had a global diagnosis of superficial gastritis (SG), 2 848 (20.22%) had chronic atrophic gastritis (CAG), 3 103 (22.03%) had intestinal metaplasia (IM), and 520 (3.69%) had low-grade intestinal neoplasia (LGIN). During the follow-up, 109 subjects were diagnosed with GC, including 63 with high-grade intestinal neoplasia (HGIN) and 46 with invasive GC. Compared to subjects having normal gastric mucosa or SG, those with CAG ( RR=3.85, 95% CI: 2.04-7.28), IM ( RR=5.18, 95% CI: 2.79-9.60), and LGIN ( RR=19.08, 95% CI: 9.97-36.53) had significantly increased risk of progression to GC. Individuals with these gastric lesions had an elevated risk of developing HGIN and invasive GC. For subjects with LGIN, the RR was 22.96 (95% CI: 9.71-54.27) for developing HGIN and 14.64 (95% CI: 5.37-39.93) for developing invasive GC. Subgroup analyses found that all age group subjects with LGIN diagnosed during the initial endoscopic examination had a significantly increased risk of developing the GC. Conclusions:Our large-scale prospective study on a high-risk area of GC showed that most residents aged 40-69 years had gastric lesions of different stages. Subjects with more advanced gastric lesions had a significantly increased risk of progression to GC.

Objective:To establish an early prediction model with multiple indicators to predict the risk of severe acute pancreatitis (SAP) in hyperlipidemic acute pancreatitis (HLAP).Methods:The clinical data of 92 patients with HLAP admitted to the Emergency Department of our hospital from March 2018 to February 2020 were analyzed retrospectively. Among them, 29 cases deteriorated to SAP and 63 cases did not. Univariate analysis was used to screen predictive indicators related to hyperlipidemic severe acute pancreatitis (HL-SAP), and logistic regression analysis was used to screen independent predictive indicators related to HL-SAP. Then a prediction model was established. The area under (AUC) the receiver operating curve (ROC) was used to evaluate the predictive ability of each predictive indicator and the model for HL-SAP. Bootstrap resampling technology was used to validate the predictive ability of the model.Results:Univariate analysis showed that procalcitonin, D-dimer, C-reactive protein, albumin, cholesterol and CT grade had influence on the progression of HLAP to SAP ( P<0.05). Logistic regression analysis showed that D-dimer ( OR=2.112, 95% CI: 1.022-4.366; P<0.05), CT grade ( OR=5.818, 95% CI: 2.481-13.643; P<0.01) and cholesterol ( OR=1.146, 95% CI: 1.004-1.308; P<0.05) were independent risk factor of HL-SAP. The AUC of D-dimer, CT grade, cholesterol and the model were 0.802, 0.875, 0.665 and 0.927, respectively. Internal validation of the predictive ability of the model showed that the C-index was 0.927. Conclusions:In the early phase, application of the prediction model that composes D-dimer, CT grade and cholesterol has a good predictive effect on HL-SAP.

The liquid chromatography tandem mass spectrometry was used to detect the urinary proteomics of 223 residents aged 40-69 years old who participated in the National Upper Gastrointestinal Cancer Early Detection Program in Linqu County, Shandong Province from November 22 to December 7, 2018, and analyze the alcohol consumption related proteomic profiles and individual urinary protein. There were significant differences in urinary protein profiles between alcohol consumption group and non-alcohol consumption group. The expression of 26 urinary proteins was up-regulated and 20 urinary proteins were down-regulated in alcohol consumption group ( P<0.05). The differentially expressed proteins had enzyme inhibitor activity and phospholipid binding function, and mainly enriched in pathways involving proximal tubule bicarbonate regeneration, complement and coagulation cascade, and cholesterol metabolism. The protein expressions of complement factor I (CFI), angiotensin converting enzyme 2 (ACE2) and protein C inhibitor (SERPINA5) were positively correlated with daily alcohol consumption.

Traditional survival methods have a wide application in the field of biomedical research. However, applying traditional survival methods requires data to meet a set of special assumptions while the Random Survival Forest model can overcome this inconvenience. Herein, we used the clinical data of Primary Biliary Cholangitis (PBC) from Mayo Clinic to introduce and demonstrate Random Survival Forest model from mathematical principles, model building, practical example and attentions, aiming to provide a novel method for doing survival analysis.

The liquid chromatography tandem mass spectrometry was used to detect the urinary proteomics of 223 residents aged 40-69 years old who participated in the National Upper Gastrointestinal Cancer Early Detection Program in Linqu County, Shandong Province from November 22 to December 7, 2018, and analyze the alcohol consumption related proteomic profiles and individual urinary protein. There were significant differences in urinary protein profiles between alcohol consumption group and non-alcohol consumption group. The expression of 26 urinary proteins was up-regulated and 20 urinary proteins were down-regulated in alcohol consumption group ( P<0.05). The differentially expressed proteins had enzyme inhibitor activity and phospholipid binding function, and mainly enriched in pathways involving proximal tubule bicarbonate regeneration, complement and coagulation cascade, and cholesterol metabolism. The protein expressions of complement factor I (CFI), angiotensin converting enzyme 2 (ACE2) and protein C inhibitor (SERPINA5) were positively correlated with daily alcohol consumption.

Traditional survival methods have a wide application in the field of biomedical research. However, applying traditional survival methods requires data to meet a set of special assumptions while the Random Survival Forest model can overcome this inconvenience. Herein, we used the clinical data of Primary Biliary Cholangitis (PBC) from Mayo Clinic to introduce and demonstrate Random Survival Forest model from mathematical principles, model building, practical example and attentions, aiming to provide a novel method for doing survival analysis.

Objective: To compare the clinical efficacy of the preserving insertion point of the rectus abdominis-Pfannenstiel approach with traditional Pfannenstiel approach in the treatment of pelvic anterior ring injuries. Methods: A retrospective analysis was performed on 43 cases with pelvic anterior ring injuries treated from September 2008 to February 2016. Among them, 20 cases were treated with the preserving insertion point of the rectus abdominis-Pfannenstiel approach (modified approach group) including 14 males and 6 females, aged 18-58 years, with an average age of 36.9 years. According to Tile classification of pelvic fractures, there were 8 cases of B1 type, 4 cases of B2 type, 2 cases of B3 type, 4 cases of C1 type and 2 cases of C2 type. And 23 cases were treated with traditional Pfannenstiel approach (traditional approach group, 16 cases of males and 7 cases of females, aged 19-59 years, with an average age of 36.8 years). Tile classification of pelvic fractures: 9 cases of B1, 4 cases of B2, 3 cases of B3, 4 cases of C1 and 3 cases of C2). The operative time, intraoperative blood loss, postoperative hospital stay, postoperative reduction, postoperative functional and complications were compared between the two groups. Results: 43 patients were followed up for 12-40 months, with an average of 20.5 months. All fractures healed in 8-20 weeks, with an average time of 10 weeks. Duration of anterior approach: 119.0±18.3 min in the modified approach group and 93.7±17.8 min in the traditional approach group (t=4.597, P< 0.05). Intraoperative blood loss: 206.0±38.2 ml in the modified approach group and 252.4±46.1 ml in the traditional approach group (t=-3.560, P< 0.05). Postoperative hospital stay: 14.5±3.0 d in the modified approach group, and 20.0±4.4 d in the traditional approach group (t=-4.775, P< 0.05). Postoperative reduction was evaluated according to the Matta reduction criteria, among which 15 cases were excellent and 5 cases were good in the modified approach group; 17 cases were excellent and 6 cases were good in the traditional approach group. According to the Majeed score, the postoperative function of pelvic fracture was excellent in 10 cases, good in 7 cases, and acceptable in 3 cases, with an excellent and good rate of 85.0% (17/20). There were 11 excellent cases, 8 good cases and 4 fair cases in the traditional approach group, with an excellent and good rate of 82.6% (19/23). There was no statistically significant difference between the two groups (χ²=0.04, P >0.05). Complications: 2 cases of internal fixation loosening and 2 cases of coital pain occurred in the modified approach group after surgery, with a complication rate of 20.0% (4/20). Postoperatively, 1 case of superficial infection, 1 case of pulmonary infection, 1 case of internal fixation loosening, 1 case of screw broken and 4 cases of coital pain occurred in the traditional approach group, with a complication rate of 34.8% (8/23). Conclusion Both approaches can achieve satisfactory results in the treatment of anterior pelvic ring injury. The preserving insertion point of the rectus abdominis-Pfannenstiel approach for the treatment of anterior pelvic ring injuries has the advantages of less bleeding, faster recovery and shorter hospitalization time.

Objective To observe the protective effect of dexmedetomidine(Dex)at different doses com-bined with ulinastatin in lung resection patients with one lung ventilation. Methods 80 patients having undergone unilateral lung resection were divided into four groups randomly:control group(C group)and groups Dex 1-3,20 cases in each group.One lung ventilation(OLV)was used in all the groups during operation.The patients in groups Dex 1-3 were treated with 0.5,1.0,2.0 μg/kg combined with ulinastatin,and the C group with amount of normal sa-line instead.The comparisons were done among the four groups in terms of SOD,L-6,IL-10,serum malondialde-hyde(MDA)concentration at 5 min after endotracheal intubation(T0),30 min(T1),60 min(T2),120 min (T3)as well as the levels of FVC,FEVl and FEVl/FVC at 24 h,48 h and 72 h after surgery. Results In the groups C and Dex 1,SOD decreased at T1-4 and IL-6,MDA and IL-10 at T2-4 rose.SOD decreased at T2-4 in groups Dex 2-3 and MDA,IL-6 and IL-10 rose.Compared with group C,the levels of SOD and IL-10 at T2-4 in groups Dex 1-2 and at T1-4 in group Dex 3 rose. In groups Dex 1-3,postoperative FVC,FEVl and FEVl/FVC rose.Compared with group Dex 1 or 2 respectively,SOD and IL-10 at T2-4 in group Dex 3 significantly rose,but MDA and IL-6 significantly declined;FVC,FEVl and FEVl/FVC significantly rose 48 h and 72 h after surgery (P<0.05). Conclusion Dex combined with ulinastatin has a protective effect for patients with one lung ventila-tion after lung resection,with the best-suggested dose of 1.0 μg/kg.