Bamboo leaf flavonoids(BLF)are compounds extracted from bamboo leaves,possessing properties including antioxidant,antimicrobial and anti-inflammatory properties.This study aimed to investigate the effects of BLF on liver damage,antioxidant function,and related gene expression in rats induced by diquat(DQ).Thirty-two 5-week-old male Sprague-Dawley(SD)rats were randomly divided into four experimental groups:the control group(Con),1 000 mg/kg BLF group(BLF),DQ stress group(DQ),and 1 000 mg/kg BLF+DQ stress group(BLF-DQ).The results showed that compared to the Con,the DQ group exhibited significantly decreased serum AST lev-els(P＜0.05),as well as decreased levels of T-AOC,GPX,SOD,and CAT in the liver(P＜0.05),and increased MDA levels in rats(P＜0.05).Additionally,the gene expression levels of HO-1,GPX,CAT,SOD1,and Nrf2 in the liver were significantly reduced(P＜0.05).In contrast,1 000 mg/kg BLF significantly decreased serum AST and ALT levels(P＜0.05),increased levels of T-AOC,GPX,CAT,and SOD in liver(P＜0.05),and significantly increased gene expression of HO-1,GPX,CAT,SOD1,Nrf2,and NQO1(P＜0.05).Compared to the DQ group,BLF-DQ significant-ly decreased liver index(P＜0.05),reduced serum AST and ALT levels(P＜0.05),increased lev-els of CAT,GPX,and T-AOC in liver(P＜0.05),decreased MDA levels(P＜0.05),and signifi-cantly upregulated gene expression levels of HO-1,GPX,CAT,SOD1,and Nrf2(P＜0.05).These findings indicated that BLF alleviate liver damage caused by DQ stress in rats,improve liver an-tioxidant function inhibition,activate the Nrf2 signaling pathway and PINK/Parkin mitophagy-re-lated gene expression.

Sepsis is a life-threatening organ dysfunction caused by the host's dysfunctional response to infection. Sepsis-induced cardiomyopathy (SICM), as a serious complication of sepsis, is an acute reversible cardiac dysfunction syndrome unrelated to myocardial ischemia, which affects the outcome and prognosis of sepsis. As a complex microbial system, gut microbiota has been confirmed to be involved in the development of coronary heart disease, hypertension, heart failure and other cardiovascular diseases, and is also related to the occurrence and development of sepsis. However, there are few studies on the relationship between gut microbiota and SICM. This paper reviews the current research progress on gut microbiota and SICM, aiming at provide a new idea for clinical treatment of SICM.

Objective:This study aimed to investigate the correlation between the levels of serum amyloid A protein (SAA) and apolipoprotein A-Ⅰ (ApoA-Ⅰ) with the severity and prognosis of septic patients, in order to find new clinical prognostic markers for sepsis patients.Methods:This study prospectively included patients admitted to the intensive care unit of Northern Jiangsu People's Hospital from September 2021 to February 2022. Patients were diagnosed with sepsis according to the Sepsis-3 criteria and aged between 18 and 80 years old. Peripheral venous blood samples were collected at 0 h, 24 h, and 72 h after inclusion in the study, measured the levels of ApoA-Ⅰ and SAA, and the 72 h ΔSAA and 72 h ΔApoA-Ⅰwere calculated.. Patient demographics, laboratory parameters, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) scores, sequential organ failure assessment scores, etc., were recorded. Patients were divided into survival and death groups based on outcomes, and were divided into shock and non-shock groups based on the presence of shock. Logistic regression was used to combine ApoA-I and SAA to establish a new combined index. Receiver Operating Characteristic curve analysis was performed to evaluate the predictive value of SAA, ApoA-Ⅰ, 72 h ΔApoA-Ⅰ, 72 h ΔSAA and the combined SAA and ApoA-Ⅰ for the prognosis of sepsis patients.Results:A total of 108 patients were included in the analysis, with 48 cases in the non-septic shock group and 60 cases in the septic shock group; 77 cases in the survival group and 31 cases in the death group. There were statistically significant differences in SAA and ApoA-Ⅰ levels at each time point between the shock and non-shock groups (all P<0.05), as well as between the death and survival groups (all P<0.05). SAA levels at each time point were positively correlated with APACHEⅡ scores (all P<0.001), while ApoA-Ⅰ levels at each time point were negatively correlated with APACHEⅡ scores (all P<0.01). SAA levels could predict the risk of death in sepsis patients, with the highest area under curve (AUC) value at 24 h SAA (AUC=0.713, P=0.001), sensitivity was 65.3%, and specificity was 72.7% for predicting 28-day mortality in sepsis. ApoA-Ⅰ levels at each time point could also predict the risk of death in sepsis patients, with the highest AUC value at 72 h ApoA-Ⅰ (AUC=0.743, P<0.001), sensitivity was 69.4%, and specificity was 77.1% for predicting 28-day survival in sepsis. The combined detection of 24 h SAA and 72 h ApoA-Ⅰ increased the AUC value (AUC=0.758, P<0.05), but the Z test showed that the prediction of death risk in patients with sepsis was not significantly higher than that of a single index ( P>0.05). Conclusions:Serum levels of SAA and ApoA-Ⅰ could reflect the severity of sepsis in patients and serve as independent indicators for predicting the prognosis of sepsis patients. The overall diagnostic efficacy of the combined SAA and ApoA-Ⅰ was not significantly different from that of a single index.

Optimizing the management of medical service appointment is an important measure to enhance the patient′s medical experience and promote the high-quality development of hospitals. In 2022, a tertiary comprehensive hospital in Jiangsu Province focused on the demand for digital appointments, and carried out coordinated management of intelligent appointment for medical examination both inside and outside the hospital, online and offline. By constructing an intelligent examination appointment system, enriching appointment categories, exchanging appointment information, improving supporting services, and establishing appointment supervision mechanisms, this practice provided intelligent, personalized, and precise examination appointment services for patients in multi-campus hospitals and member units of medical group. The average waiting time of patients for CT, MRI, and ultrasound examinations in this hospital decreased from 7.43 h, 8.75 h, and 4.63 h in 2021 to 4.63 h, 4.72 h, and 2.18 h in 2023, respectively, as well as the average satisfaction rate of patients with examination appointments increased from 90.7% to 96.5%. The intelligent examination appointment management had achieved good results, which could provide references for other hospitals to optimize appointment of medical services.

OBJECTIVE: To investigate the correlation of hemoglobin (Hb) level with prognosis of elderly patients diagnosed as sepsis. METHODS: A retrospective cohort study was conducted. Information on the cases of elderly patients with sepsis in the Medical Information Mart for Intensive Care-IV (MIMIC-IV), including basic information, blood pressure, routine blood test results [the Hb level of a patient was defined as his/her maximum Hb level from 6 hours before admission to intensive care unit (ICU) and 24 hours after admission to ICU], blood biochemical indexes, coagulation function, vital signs, severity score and outcome indicators were extracted. The curves of Hb level vs. 28-day mortality risk were developed by using the restricted cubic spline model based on the Cox regression analysis. The patients were divided into four groups (Hb < 100 g/L, 100 g/L ≤ Hb < 130 g/L, 130 g/L ≤ Hb < 150 g/L, Hb ≥ 150 g/L groups) based on these curves. The outcome indicators of patients in each group were analyzed, and the 28-day Kaplan-Meier survival curve was drawn. Logistic regression model and Cox regression model were used to analyze the relationship between Hb level and 28-day mortality risk in different groups. RESULTS: A total of 7 473 elderly patients with sepsis were included. There was a "U" curve relationship between Hb levels within 24 hours after ICU admission and the risk of 28-day mortality in patients with sepsis. The patients with 100 g/L ≤ Hb < 130 g/L had a lower risk of 28-day mortality. When Hb level was less than 100 g/L, the risk of death decreased gradually with the increase of Hb level. When Hb level was ≥ 130 g/L, the risk of death gradually increased with the increase of Hb level. Multivariate Logistic regression analysis revealed that the mortality risks of patients with Hb < 100 g/L [odds ratio (OR) = 1.44, 95% confidence interval (95%CI) was 1.23-1.70, P < 0.001] and Hb ≥ 150 g/L (OR = 1.77, 95%CI was 1.26-2.49, P = 0.001) increased significantly in the model involving all confounding factors; the mortality risks of patients with 130 g/L ≤ Hb < 150 g/L increased, while the difference was not statistically significant (OR = 1.21, 95%CI was 0.99-1.48, P = 0.057). The multivariate Cox regression analysis suggested that the mortality risks of patients with Hb < 100 g/L [hazard ratio (HR) = 1.27, 95%CI was 1.12-1.44, P < 0.001] and Hb ≥ 150 g/L (HR = 1.49, 95%CI was 1.16-1.93, P = 0.002) increased significantly in the model involving all confounding factors; the mortality risks of patients with 130 g/L ≤ Hb < 150 g/L increased, while the difference was not statistically significant (HR = 1.17, 95%CI was 0.99-1.37, P = 0.053). Kaplan-Meier survival curve showed that the 28-day survival rate of elderly septic patients in 100 g/L ≤ Hb < 130 g/L group was significantly higher than that in Hb < 100 g/L, 130 g/L ≤ Hb < 150 g/L and Hb ≥ 150 g/L groups (85.26% vs. 77.33%, 79.81%, 74.33%; Log-Rank test: χ² = 71.850, P < 0.001). CONCLUSIONS Elderly patients with sepsis exhibited low mortality risk if their 100 g/L ≤ Hb < 130 g/L within 24 hours after admission to ICU, and both higher and lower Hb levels led to increased mortality risks.
Humans ; Male ; Female ; Aged ; Retrospective Studies ; Sepsis/diagnosis* ; Critical Care ; Intensive Care Units ; Prognosis ; Hemoglobins ; ROC Curve

Objective:To evaluate the effect of 2019 novel coronavirus inactivated vaccine on the disease severity of patients with Delta variant of coronavirus disease 2019.Methods:A retrospective analysis was performed on 704 patients with coronavirus disease 2019 infected with Delta variant who were older than 18 years old and admitted in the coronavirus disease 2019 designated hospital of Yangzhou (Subei Hospital New Area Branch) from July 2021 to September 2021. They were divided into severe (severe, critical) group and non-severe (light, ordinary) group according to the clinical characteristics of patients. According to the vaccination status, they were divided into 0-dose group, 1-dose group and 2-dose group. We evaluated the effects of vaccination on the severity of the disease and the production of antibodies, and analyzed the influencing factors leading to the severe group of coronavirus disease 2019.Results:The proportion of severe group in the 2-dose vaccinated group was significantly lower than that in the 1-dose vaccinated group and 0-dose vaccinated group [3.02% (7/232) vs. 9.48% (22/232), 15.83% (38/240), P < 0.05]. The time from onset to admission (day: 1.97±1.66 vs. 2.66±2.70), age (years: 45.3±12.2 vs. 63.6±17.0), direct bilirubin [DBil (μmol/L): 3.70±1.83 vs. 5.30±5.13], lactate dehydrogenase [LDH (U/L): 240.69±74.29 vs. 256.30±85.18], creatinine [SCr (μmol/L): 63.38±19.86 vs. 70.23±25.43], interleukin-6 [IL-6 (ng/L): 7.32 (1.54, 17.40) vs. 18.38 (8.83, 33.43)], creatine kinase [CK (U/L): 66.00 (43.00, 99.75) vs. 78.00 (54.50, 144.00)] and D-dimer [mg/L: 0.30 (0.08, 0.49) vs. 0.41 (0.23, 0.69)] of patients in the 2-dose group were significantly lower than those in the 0-dose group (all P < 0.05), while platelet [PLT (×10 9/L): 176.69±60.25 vs. 149.25±59.07], white blood cell count [WBC (×10 9/L): 5.43±1.77 vs. 5.03±1.88] and lymphocyte [LYM (×10 9/L): 1.34±0.88 vs. 1.17±0.50] were significantly higher than those in the 0-dose group (all P < 0.05). The titer of immunoglobulin G (IgG) in the 2-dose group was significantly higher than those in the 1-dose group and 0-dose group on the 10th day after admission [U/L: 130.94 (92.23, 326.31), 113.18 (17.62, 136.20), 117.85 (33.52, 156.73), both P < 0.05], and higher than 0-dose group on the 16th day [U/L: 156.12 (120.32, 167.76) vs. 126.52 (61.34, 149.57), P < 0.05]. The proportion of complete 2-dose vaccination [10.45% (7/67) vs. 35.32% (225/637)], LYM (×10 9/L: 1.09±0.32 vs. 1.25±0.56) and PLT (×10 9/L: 138.55±68.03 vs. 166.93±59.70) in the severe group were significantly lower than those in the non-severe group ( P < 0.05), while the time from onset to admission (day: 3.01±2.99 vs. 2.25±2.09), the length of hospital stay (day: 28±18 vs. 16±6), male proportion [77.61% (52/67) vs. 34.54% (220/637)], age (years: 69.13±12.63 vs. 52.28±16.53), DBil [μmol/L: 4.20 (3.18, 6.65) vs. 3.60 (2.80, 4.90], LDH (U/L: 310.61±98.33 vs. 238.19±72.14), SCr (μmol/L: 85.67±38.25 vs. 65.98±18.57), C-reactive protein [CRP (μmol/L): 28.12 (11.32, 42.23) vs. 8.49 (2.61, 17.58)], IL-6 [ng/L: 38.38 (24.67, 81.50) vs. 11.40 (4.60, 22.07)], CK [U/L: 140.00 (66.00, 274.00) vs. 72.80 (53.00, 11.00)] and the D-dimer [mg/L: 0.46 (0.29, 0.67) vs. 0.35 (0.19, 0.57)] in the severe group were significantly higher than those in the non-severe group (all P < 0.05). Multivariate regression analysis showed that the odds ratio ( OR) of severe group was 0.430 ( P = 0.010) in the 1-dose group and the 2-dose group compared with the 0-dose group. However, the risk of severe group was 0.381-fold in the 2-dose group compared with the 0-dose group [ OR = 0.381, 95% confidence interval (95% CI) was 0.121-1.199] which was not statistically significant, when the age was included in the regression analysis ( P > 0.05). PLT ( OR = 0.992, 95% CI was 0.986-0.998) were protective factors, but older than 60 years old ( OR = 3.681, 95% CI was 1.637-8.278), CK ( OR = 1.001, 95% CI was 1.000-1.001), IL-6 ( OR = 1.006, 95% CI was 1.002-1.010), SCr ( OR = 1.020, 95% CI was 1.007-1.033) were risk factors for severe group (all P < 0.05). Conclusions:Compared with the 0-dose vaccinated patients, the coronavirus disease 2019 patients infected with delta variant and fully vaccinated with 2-dose 2019 novel coronavirus inactivated vaccine had lower level of IL-6, SCr, CK and D-dimer, and higher PLT, LYM and IgG titer, who were not easy to develop into the severe condition.

Objective To explore the value of plasma histones in predicting the prognosis of sepsis patients. Methods The patients with sepsis admitted to intensive care unit (ICU) of Subei People's Hospital of Jiangsu Province Affiliated to Yangzhou University from May 2016 to June 2018 were enrolled as the research subjects, and healthy volunteers were selected as healthy control at the same period. The plasma levels of histones, cardiac troponin I (cTnI), N-terminal pro-brain natriuretic peptide (NT-proBNP), sequential organ failure assessment (SOFA) score, lactate (Lac), procalcitonin (PCT) on admission 24 hours, and use of vasoconstrictor agents, the length of ICU stay and ICU mortality were recorded. The patients were divided into survival group and death group according to the prognosis, and the differences of each index between the two groups were compared. Multivariate binary Logistic regression analysis was carried out to identify the independent risk factors of death. The correlation between histone and the levels of cTnI, NT-proBNP, PCT and Lac was analyzed. The value of plasma histone, cTnI, NT-proBNP, PCT and Lac in predicting the prognosis of patients was analyzed by receiver operating characteristic (ROC) curve. According to the threshold value of histone in predicting prognosis, the patients were divided into two groups, and the differences of various indicators between the two groups were compared. Results ① A total of 93 sepsis patients were included, with 29 cases of ICU death, and the mortality was 31.2%. ② Compared with the healthy control group, histones, cTnI, NT-proBNP were significant increased, besides, histones, cTnI in the death group were further increased compared with the survival group;in addition, SOFA, proportion of vasoconstrictor use were also significant higher than those in the survival group [histones (mg/L): 0.33 (0.28,0.45) vs. 0.22 (0.17,0.29), cTnI (μg/L): 0.25±0.13 vs. 0.20±0.08, SOFA: 11 (8, 12) vs. 9 (8, 11), the rate of vasopressor use: 93.1% (27/29) vs. 68.8% (44/64), all P < 0.05]. Statistically significant indicators between the two groups were included in multivariate binary Logistic regression analysis. The result showed that the independent risk factors affecting the prognosis of patients were the rate of vasopressor use [odds ratio (OR) = 5.277, P = 0.043] and the level of histone (OR = 79.244, P = 0.036). ③ The plasma histone level were positively correlated with cTnI (r = 0.577, P = 0.000), SOFA (r = 0.469, P = 0.000), NT-proBNP (r = 0.349, P = 0.001) and Lac (r = 0.357, P = 0.000), while there was no significant correlation between histone and PCT (r = 0.133, P = 0.205). ④ ROC curve analysis showed that the area under ROC curve (AUC) of histone predicting prognosis was 0.769 (P = 0.000); when the cut-off point was 0.30 mg/L, the sensitivity and specificity were 72.4% and 81.2% respectively. The AUC of SOFA score was 0.653 (P = 0.018), and the sensitivity and specificity were 58.6% and 70.3% respectively when the cut-off point was 10.50; while cTnI, NT-proBNP, Lac and PCT had little value in predicting the prognosis of patients. ⑤ Compared with the group with histone level lower than 0.3 mg/L, the group with histones level greater than 0.3 mg/L had higher SOFA score, more doses of vasopressor, higher cTnI, NT-proBNP, Lac and PCT levels, and higher ICU mortality [SOFA: 11 (10, 12) vs. 9 (8, 10), use of vasopressor: 84.8% (28/33) vs. 76.7% (46/60), cTnI (μg/L): 0.28 (0.19, 0.32) vs. 0.18 (0.12, 0.22), NT-proBNP (ng/L): 3 624.0 (2 800.0, 5 260.0) vs. 2 512.0 (1 361.8, 3 590.8), Lac (mmol/L): 2.25 (1.85, 3.50) vs. 1.60 (1.25, 2.35), PCT (μg/L): 2.10 (1.30, 4.03) vs. 1.60 (1.26, 2.33), ICU mortality: 48.5% (16/33) vs. 21.7% (13/60), all P < 0.05], while no statistical difference in the length of ICU stay was found. Conclusions The independent risk factors for ICU mortality of sepsis patients were high histone level and the use of vasopressor. Plasma histone can be regarded as an indicator in predicting the prognosis of patients with sepsis.

Previously, we reported that Y, a new epigallocatechin gallate derivative, is efficacious in reversing doxorubicin (DOX)--mediated resistance in hepatocellular carcinoma BEL-7404/DOX cells. In this study, we evaluated the efficacy of Y in reversing drug resistance both and by determining its effect on the adenosine triphosphate-binding cassette protein B1 transporter (ABCB1 or P-glycoprotein, P-gp). Our results showed that Y significantly sensitized cells overexpressing the ABCB1 transporter to anticancer drugs that are ABCB1 substrates. Y significantly stimulated the adenosine triphosphatase activity of ABCB1. Furthermore, Y exhibited a higher docking score as compared with epigallocatechin gallate inside the transmembrane domain of ABCB1. In addition, in the nude mouse tumor xenograft model, Y (110 mg/kg, intragastric administration), in combination with doxorubicin (2 mg/kg, intraperitoneal injection), significantly inhibited the growth of BEL-7404/DOX cell xenograft tumors, compared to equivalent epigallocatechin gallate. In conclusion, Y significantly reversed ABCB1-mediated multidrug resistance and its mechanisms of action may result from its competitive inhibition of the ABCB1 drug efflux function.

Objective To preliminary explore the feasibility of three‐dimensional transesophageal echocardiography ( 3D‐T EE) as images data source for 3D printing model by comparing the 3D‐T EE with CT of the aortic root Digital Imaging and Communications in M edicine ( DICOM ) data into 3D printing models respectively . Methods Fifteen patients w ho underwent surgical aortic valve replacement in the hospital were enrolled ,and the aortic root 3D‐T EE and CT DICOM data were obtained in perioperative . T he images were imported into M imics software to generate digital model standard tessellation language file ,and to print the aortic root models by 3D printer . T he structural morphology of both 3D‐T EE and CT models were qualitatively evaluated respectively . T he aortic annular area ,perimeter ,maximal diameter and minimal diameter of the original data , digital model , model and aortic valve replacement were quantitatively evaluated ,and the consistency of each parameter value were analyzed . T he mean diameter of 3D‐T EE and CT model were calculated . T he correlation of mean diameter with the number of replacement was analyzed . Results ①Both 3D‐TEE and CT images data were successfully printed into 3D models ,and the positive rate of aortic valve structure were 93 .3% ( 14/15) and 80 .0% ( 12/15) respectively . ②T he measured values of the aortic annular 3D‐T EE and digital model were smaller than CT ,CTdigital model and replacement ( P＜0 .05) ,and the measurement consistency among groups was high . ③ T he parameter values of 3D‐T EE model were smaller than CT model ( P ＜0 .05 ) ,and the measured values were all within the consistency range . T he mean diameters were highly correlated with the replacement values ( r ＞ 0 .95 , P ＜ 0 .05 ) . Conclusions 3D printing aortic root model based on 3D‐TEE image data is of high feasibility .

Objective: To preliminary explore the feasibility of three-dimensional transesophageal echocardiography (3D-TEE) as images data source for 3D printing model by comparing the 3D-TEE with CT of the aortic root Digital Imaging and Communications in Medicine(DICOM) data into 3D printing models respectively. Methods: Fifteen patients who underwent surgical aortic valve replacement in the hospital were enrolled, and the aortic root 3D-TEE and CT DICOM data were obtained in perioperative. The images were imported into Mimics software to generate digital model standard tessellation language file, and to print the aortic root models by 3D printer. The structural morphology of both 3D-TEE and CT models were qualitatively evaluated respectively. The aortic annular area, perimeter, maximal diameter and minimal diameter of the original data, digital model, model and aortic valve replacement were quantitatively evaluated, and the consistency of each parameter value were analyzed. The mean diameter of 3D-TEE and CT model were calculated. The correlation of mean diameter with the number of replacement was analyzed. Results: ①Both 3D-TEE and CT images data were successfully printed into 3D models, and the positive rate of aortic valve structure were 93.3% (14/15) and 80.0% (12/15) respectively. ②The measured values of the aortic annular 3D-TEE and digital model were smaller than CT, CTdigital model and replacement (P<0.05), and the measurement consistency among groups was high. ③The parameter values of 3D-TEE model were smaller than CT model (P<0.05), and the measured values were all within the consistency range. The mean diameters were highly correlated with the replacement values (r>0.95, P<0.05). Conclusions 3D printing aortic root model based on 3D-TEE image data is of high feasibility.