Objective To explore the correlation between tongue features of type 2 diabetes patients with coronary heart disease and glycosylated hemoglobin,liver function,blood lipids,C-reactive protein,so as to provide reference for related research.Methods Using the TFDA-1 tongue imaging device to collect patients'tongue images,experts will interpret the tongue images and extract objective parameters of the tongue images through the intelligent auxiliary diagnosis system of traditional Chinese medicine tongue diagnosis;Record patient laboratory indicators and use SPSS statistical software to analyze the correlation between tongue image distribution characteristics,tongue image parameter characteristics,and laboratory indicators using Spearman method.Results 702 patients with type 2 diabetes and coronary heart disease were included.In terms of glycated hemoglobin indicators,bruising parameters are positively correlated with HbA1c,while tongue tip RGB values are negatively correlated with HbA1c.In terms of liver function indicators,tongue edge redness,tongue tip and tongue texture R value are positively correlated with ALT and AST;Red tongue tip,tooth marks on the tongue,etc.are positively correlated with ALT;Fat tongue is positively correlated with AST.In terms of blood lipid indicators,parameters such as tooth mark tongue and tooth mark are positively correlated with TG;The parameters of white coating and tongue coating area are positively correlated with LDL-C;Thin coating is positively correlated with HDL-C,while thick coating is negatively correlated with HDL-C;Red tongue is negatively correlated with TCHO.In terms of C-reactive protein,red tongue,tip red,and edge red are positively correlated with CRP;The GB value of tongue root and tongue substance is negatively correlated with CRP.Conclusion Type 2 diabetes patients with coronary heart disease have tongue picture distribution,tongue shape parameters,tongue color parameters,coating color parameters and HbA1c,ALT,AST,TCHO,TG,HDL-C,LDL-C,CRP indicators in varying degrees of correlation.The combination of patients'tongue picture and laboratory indicators is helpful to clarify the diagnosis and prognosis of type 2 diabetes with coronary heart disease.

Objective To explore the correlation between tongue features of type 2 diabetes patients with coronary heart disease and glycosylated hemoglobin,liver function,blood lipids,C-reactive protein,so as to provide reference for related research.Methods Using the TFDA-1 tongue imaging device to collect patients'tongue images,experts will interpret the tongue images and extract objective parameters of the tongue images through the intelligent auxiliary diagnosis system of traditional Chinese medicine tongue diagnosis;Record patient laboratory indicators and use SPSS statistical software to analyze the correlation between tongue image distribution characteristics,tongue image parameter characteristics,and laboratory indicators using Spearman method.Results 702 patients with type 2 diabetes and coronary heart disease were included.In terms of glycated hemoglobin indicators,bruising parameters are positively correlated with HbA1c,while tongue tip RGB values are negatively correlated with HbA1c.In terms of liver function indicators,tongue edge redness,tongue tip and tongue texture R value are positively correlated with ALT and AST;Red tongue tip,tooth marks on the tongue,etc.are positively correlated with ALT;Fat tongue is positively correlated with AST.In terms of blood lipid indicators,parameters such as tooth mark tongue and tooth mark are positively correlated with TG;The parameters of white coating and tongue coating area are positively correlated with LDL-C;Thin coating is positively correlated with HDL-C,while thick coating is negatively correlated with HDL-C;Red tongue is negatively correlated with TCHO.In terms of C-reactive protein,red tongue,tip red,and edge red are positively correlated with CRP;The GB value of tongue root and tongue substance is negatively correlated with CRP.Conclusion Type 2 diabetes patients with coronary heart disease have tongue picture distribution,tongue shape parameters,tongue color parameters,coating color parameters and HbA1c,ALT,AST,TCHO,TG,HDL-C,LDL-C,CRP indicators in varying degrees of correlation.The combination of patients'tongue picture and laboratory indicators is helpful to clarify the diagnosis and prognosis of type 2 diabetes with coronary heart disease.

OBJECTIVE To excavate the adverse drug event （ADE） signals of three third-generation tetracycline antibiotics （tigecycline， omadacycline， eravacycline） based on FDA adverse event reporting system （FAERS）， and to provide reference for the safe use of them. METHODS The ADE reports of tigecycline， omadacycline and eravacycline from the first quarter of 2005 to the second quarter of 2023 were retrieved from FAERS database. The ADE signals of 3 kinds of drugs were mined by the method of reporting odds ratio method and the proportional reporting ratio method. RESULTS Totally 2 538 ADE reports with tigecycline， omadacycline and eravacycline as the primary suspected drugs were obtained， including 2 135 tigecycline ADE reports， 349 omadacycline ADE reports and 54 eravacycline ADE reports. A total of 131 ADE positive signals of tigecycline were mined， involving 19 system organ classes （SOCs）， mainly concentrated in investigations， hepatobiliary system， blood and lymphatic system， and gastrointestinal system， etc； the preferred terminologies （PT） with intense signal were hypofibrinogenaemia and blood fibrinogen decreased. Fourteen ADE signals were not mentioned in the drug instruction， such as renal failure， acute kidney injury and hemorrhage. Totally 24 ADE positive signals of omadacycline were mined， involving 6 SOCs， mainly concentrated in the gastrointestinal system and various examinations； the PTs with intense signals were tooth discoloration， jet-like vomiting and loose feces， etc. ADE signals were not mentioned in the drug instructions， included lip swelling， gastroesophageal reflux disease， eosinophilia， skin discoloration， feces softening， and night sweats. Five ADE positive signals of eravacycline were mined， involving 4 SOCs， mainly concentrated in various examinations， gastrointestinal system， etc. The most intense ADE signals were blood fibrinogen decreased and hypofibrinogenaemia. CONCLUSIONS ADE of the gastrointestinal system are mostly identified in the three third-generation tetracycline antibiotics， especially pancreatitis caused by tigecycline and gastroesophageal reflux disease caused by oral administration of omadacycline. The liver function， renal function （for tigecycline） and coagulation function （for tigecycline， eravacycline） should be monitored biyiliang@hotmail.com regularly during medication， so as to prevent the occurrence of serious ADE.

Objective:To establish a rat model of neurogenic bladder and analyze the changes in kidney morphology and function and the expression of proteins in AngiotensinⅡ(AngⅡ)/transforming growth factor β1 (TGF-β1)/Smads pathway.Methods:Sprague-Dawley rats were randomly divided into experimental group (spinal nerve amputation, n=36) and control group (sham operation, n=12). At 6, 12, and 24 weeks, the bladder compliance was measured by cystometry, the kidney morphology was detected by B-ultrasound, blood urea nitrogen (BUN) and serum creatinine (Scr) in blood samples were examined, the kidney pathological changes were detected by Masson and HE staining, the distribution of AngⅡ/TGF-β1/Smads pathway proteins was analyzed by immunohistochemisty, and the protein expressions in kidney were detected by Western blotting. Results:Urodynamics showed that the basic bladder pressure in experimental group was higher than that in control group. B-ultrasound showed that compared with the control group, the diameter of the renal pelvis of the rats with nerve dissection gradually increased ( P<0.05), and the hydronephrosis was gradually obvious. Compared with the control group, the BUN and Scr in experimental group gradually increased (both P<0.01). Masson and HE staining showed that compared with the control group, the collagen expression and renal tubulointerstitial scores in experimental group were gradually increased (both P<0.01). Immunohistochemisty showed that compared with the control group, in experimental group the expression of angiotensinⅡ receptor type 1 (AT1), TGF-β receptor 1(TGF-βR1), phosphorylated Smad2 gradually increased (all P<0.01), the pathway inhibitor Smad6 gradually decreased ( P<0.01), and the distribution of each protein in kidney was consistent. Western blotting showed a corresponding expression trend with immunohistochemisty. Conclusions:In neurogenic bladder caused by bilateral spinal nerve amputation, due to bladder dysfunction, increased bladder pressure induces hydronephrosis, destruction of the nephron structure, activation of AngⅡ/TGF-β1/Smads pathway, and renal fibrosis. This method is effective and has clinical similarities, laying a foundation for exploring neurogenic bladder treatment.

Objective:To assess the value of urine heat-shock protein-70 (HSP-70) in the early diagnosis of acute kidney injury (AKI) after cardiac cardiopulmonary bypass (CPB).Methods:Patients with cardiopulmonary bypass from May 2018 to July 2018 in Henan Provincial People's Hospital were enrolled as subjects. Urine samples were collected before and after cardiopulmonary bypass at 0 h, 2 h, 4 h, 6 h, 8 h, 12 h, 24 h and 48 h. Patients were divided into AKI group and non-AKI group according to the Kidney Disease: Improving Global Outcomes Guide. Urinary HSP-70, tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) were detected by enzyme-linked immunosorbent assay (ELISA) and urine neutrophil gelatinase-associated lipocalin (NGAL) was determined by immunoturbidimetry. The receiver operating characteristic (ROC) curve was plotted to calculate the critical value, sensitivity and specificity of urine HSP-70, [TIMP-2]×[IGFBP7] and NGAL for the diagnosis of postoperative AKI after CPB.Results:A total of 45 patients were enrolled in the study. There were 24 cases in AKI group and 21 cases in non-AKI group. The level of urinary HSP-70, [TIMP-2]×[IGFBP7] and NGAL in AKI group were significantly higher than in the non-AKI group at each postoperative time point, with statistically significant differences (all P<0.05). The level of urinary HSP-70 in AKI group peaked at 2 h after CPB, which was significantly earlier than the peak time of urine [TIMP-2]×[IGFBP7] and urine NGAL (12 h after CBP and 4 h after CBP, respectively). Urinary HSP-70≥2.1 μg/L could predict postoperative AKI of CPB at 2 h after CPB, with the area under the curve ( AUC) of 1.00, the sensitivity of 100.0% and the specificity of 100.0%. Urinary [TIMP-2]×[IGFBP7]>19.1 μg 2/L 2 could predict postoperative AKI of CPB at 12 h after CPB with the AUC of 0.94, the sensitivity of 87.5%, and the specificity of 100.0%. Urinary NGAL>27.4 μg/L could predict postoperative AKI of CPB at 4 h after CPB with the AUC of 0.95, the sensitivity of 95.8%, and the specificity of 85.7%. The positive predictive value of urine HSP-70≥2.1 μg/L at 2 h after CPB was 100.0%, and the negative predictive value was 100.0%. Conclusions:The level of urinary HSP-70 increases earlier than that of urinary [TIMP-2]×[IGFBP7] and NGAL in patients with AKI after CPB. Clinical monitoring of urinary HSP-70 level contributes to early diagnosis of AKI.

Objective To investigate the immune status characteristics of primary ITP patients with abnor-mal auto-antibodies. Methods A total of 110 patients were enrolled in our study,who were admitted in Fu-Xing Hospital affiliated to Capital Medical University from January 2001 to July 2015.According to whether the patients have autoimmune diseases and the presence of auto-antibodies,we divided the patients into 3 groups,including the primary ITP with abnormal auto-antibodies(PITP-ANA)group,the primary ITP(PITP)group and the second-ary ITP(SITP)group.We compared the T-cell subsets,regulatory T cells,B lymphocytes,changes of immunoglob-ulin and bone marrow biopsy and cytology of patients among the three groups,retrospectively. Results The per-centage of CD3+T cells(61.72 ± 10.60)% in PITP-ANA group was lower than that in PITP group(69.57 ± 11.99)%. The percentage of CD8+T lymphocyte(24.00 ± 7.67)% was significantly lower than that of PITP group (30.59 ± 11.08)%(P<0.05).The proportion of Treg in PITP group,PITP-ANA group and SITP group were(6.12 ± 1.41)%,(7.50 ± 2.76)% and(8.49 ± 2.47)%,respectively,with statistically significant differences.The ra-tio of CD19+T cell in PITP-ANA group(25.75 ± 9.98)%was significantly higher than that in PITP group(16.16 ± 8.19)%(P < 0.01). The concentration of IgG、IgA、κ light chain and λ light chain in PITP group,PITP-ANA group and SITP group showed an upward trend and the highest level was in the SITP group,with statistically signifi-cant differences among the three groups. A variety of abnormal auto-antibodies could be found in both PITP-ANA group and SITP group. Conclusions We consider that the immune function abnormity of patients in PITP-ANA group were worse than that in PITP group,because the concentration of immunoglobulin,the percentage of B lym-phocyte and Treg ratio are higher in than those in PITP group.

Objective To establish the system of qualified training standard and allocation criteria in pain specialist nurses.Methods Thirty-two experts were invited to a two-round consultation to establish the system of qualified training standard and allocation criteria. SPSS and Yaahp software were applied to determine the level Yaahp indicators mean, coefficient of variation and weights.Results The system had six primary indicators and twelve secondary indicators. There were four major contents including professional theory(basic knowledge and theories), professional skills(pain care skills, pain specialist equipment use and pain specialist drug use), professional qualities(professional ethics, teamwork spirit, management skills and critical thinking), and professional development capacity(ability of research, teaching and further development). The ratio of doctors and nurses was 1︰1.29. The staffing level for nurses was approximately 90%. Conclusions Professional theory and professional skills are important parts of the qualified training standard and allocation criteria system in pain specialist nurses. The allocation ratio for doctors and nurses should be controlled at 1︰1.29. The staffing level for nurses is approximately 90%.

Objective To evaluate the prevalence of macrosomia in Beijing in 2013 and identify its risk factors. Methods Retrospective six months analysis of 14 188 full-term singleton pregnant women from 15 hospitals with different levels in Beijing in 2013. Each participant′s demographic data and medical information were collected individually by questionnaires. Multiple logistic regression analysis was used to examine the associations between variables and the risk of macrosomia. Results (1)The total prevalence of macrosomia was 7.069%(1 003/14 188) in Beijing in 2013. (2)The prevalence varied between the 15 hospitals, the lowest was 5.36%(89/1 659), while the highest reached 8.80%(46/523). Furthermore, the incidence of macrosomia was 1.284 times (95%CI: 1.114-1.480, P=0.001) higher in the second graded hospitals than that in the tertiary hospitals. (3) Multiple logistic regression analyses showed that risk factors for macrosomia were maternal height≥160 cm (adjusted OR=1.875, 95%CI: 1.559-2.256), pre-pregnant body mass index (p-BMI) ≥24.0 kg/m2 (24.0-27.9 kg/m2:adjusted OR=1.696, 95%CI: 1.426-2.018; p-BMI≥28.0 kg/m2:adjusted OR=2.393, 95%CI: 1.831-3.127), gestational weight gain (GWG)≥15.9 kg (adjusted OR=2.462, 95%CI: 2.125-2.853), gravidity>1 (adjusted OR=1.408, 95%CI: 1.224-1.620), gestational weeks≥40 (adjusted OR=2.007, 95%CI:1.745-2.308) and gestational diabetes mellitus (adjusted OR=1.522, 95%CI:1.298-1.784). GWG≥15.9 kg, p-BMI≥28.0 kg/m2 and gestational weeks≥40 were three risk factors that had the strongest associations with macrosomia (all P<0.01). Conclusions The prevalence of macrosomia in hospitals with different levels is obvious different. Gestational weeks, p-BMI and GWG are three main controllable risk factors for macrosomia, thus should receive more attentions.

OBJECTIVETo investigate the value of dual-energy computed tomography (DECT) in the diagnosis of gouty arthritis.

METHODSSixty-one patients with gout, 30 with ankylosing spondylitis and 30 with rheumatoid arthritis were included in the study. DECT scans of the hands, wrists, elbows, feet, ankles, knees, lumbar, pelvis and sacroiliac joint were performed. For post-processing, a color-coding gout software protocol was used. The demographic data and blood uric acid levels were recorded. For 3 gout patients, the findings of puncture biopsy and DECT were compared. Ten gout patients with urate crystal deposition upon recruitment underwent DECT scans again after a 6-month urate-lowering therapy.

RESULTSThe positivity rates of DECT scan differed significantly among the patients with gout, ankylosing spondylitis and rheumatoid arthritis [98.4% (60/61), 13.3% (4/30), and 6.7% (2/30), respectively; χ² =95.522, P<0.05). Of the 21 patients with acute gouty arthritis, 20 (95.2%) showed positive DECT finding, and all the 40 patients with chronic gouty arthritis showed positive findings. In the patients with patients with gout, ankylosing spondylitis and rheumatoid arthritis, the positivity rates of hyperuricemia were 97.3% (36/37), 44.4% (4/9), and 28.6% (2/7), respectively (χ² =24.197, P<0.05). A total of 344 urate deposition sites were detected in the gout patients, involving most commonly the first metatarsophalangeal joint (22.1%), the middle and distal end of the first phalanges of the toes (19.8%), the calcaneus (17.4%), and the inferior extremity of the tibia (13.4%). Seventeen and 5 urate deposition sites were found in ankylosing spondylitis patients and rheumatoid arthritis patients, respecitvely. The 10 gout patients receiving a 6-month urate-lowering therapy showed decreased urate deposition on DECT scan.

CONCLUSIONSDECT scan can detect urate deposition to allow differentiation diagnosis and follow-up in gout patients.

Arthritis, Gouty ; diagnosis ; Arthritis, Rheumatoid ; diagnosis ; Color ; Diagnosis, Differential ; Humans ; Hyperuricemia ; diagnosis ; Spondylitis, Ankylosing ; diagnosis ; Tomography, X-Ray Computed ; Uric Acid ; analysis