ObjectiveTo investigate the risk factors for pyogenic liver abscess （PLA） comorbid with sepsis by analyzing clinical features， and to construct a predictive model. MethodsA retrospective analysis was performed for 489 patients who were hospitalized and diagnosed with PLA in The Affiliated Hospital of Xuzhou Medical University from January 2019 to December 2023， and according to the presence or absence of sepsis， they were divided into sepsis group with 306 patients and non-sepsis group with 183 patients. Related data were collected， including general information， laboratory markers， and outcome measures. The patients were further divided into a training set of 342 patients and a validation set of 147 patients at a ratio of 7∶3， and the training set was used for screening of variables and construction of a predictive model， while the validation set was used to test the performance of the model. An LASSO regression analysis was used for the screening of variables， and a multivariate Logistic regression analysis was used to construct the predictive model and plot a nomogram. The calibration curve， the receiver operating characteristic （ROC） curve， and the decision curve analysis were used for the validation of the model， and internal validation was performed for assessment. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical variables between groups. ResultsThere were significant differences between the sepsis group and the non-sepsis group in pulse rate， mean arterial pressure， duration pf symptoms， comorbidity of liver cirrhosis or malignant tumor， leukocyte count， neutrophil count， lymphocyte count， platelet count （PLT）， activated partial thromboplastin time， fibrinogen， C-reactive protein， aspartate aminotransferase， alanine aminotransferase， albumin， total bilirubin （TBil）， creatinine， potassium， and prognostic nutritional index （PNI） （all P<0.05）. In the training set， the LASSO regression analysis identified four predictive factors of pulse rate， PLT， TBil and PNI， and the multivariate Logistic regression analysis showed that pulse rate （odds ratio ［OR］=1.033， 95% confidence interval ［CI］： 1.006‍ ‍—‍ ‍1.061， P=0.018）， PLT （OR=0.981， 95%CI： 0.975‍ ‍—‍ ‍0.987， P<0.001）， TBil （OR=1.086， 95%CI： 1.053‍ ‍—‍ ‍1.125， P<0.001）， and PNI （OR=0.935， 95%CI： 0.882‍ ‍—‍ ‍0.988， P=0.019） were independent influencing factors for the risk of sepsis in patients with PLA. The model constructed based on these factors showed a good predictive ability， with an area under the ROC curve of 0.948 （95%CI： 0.923‍ ‍—‍ ‍0.973） in the training set and 0.912 （95%CI： 0.848‍ ‍—‍ ‍0.976） in the validation set. The decision curve analysis showed that the model has a good net benefit within the range of 0.3‍ ‍—‍ ‍0.9 for threshold probability. ConclusionThe nomogram prediction model constructed based on pulse rate， PLT， TBil， and PNI has a certain clinical value and can well predict the risk of sepsis in patients with PLA.

Purpose To investigate the protective effect and mechanism of A-485 on renal tubular injury in diabetic mice.Methods Eighteen male C57BL/6J mice were randomly divided into three groups:Control group,diabetic kidney dis-ease(DKD)group and A-485 treatment group.The DKD mice model was established by feeding high-fat diet for 8 weeks and intraperitoneal injection of streptozotocin for 5 days.Subsequent-ly,the A-485 treatment group was given A-485(10 mg/kg/day)by intraperitoneal injection every other day for 4 weeks.After treatment,the renal function,P300 enzyme activity and lipid deposition in renal tissue were measured.Western blot a-nalysis was performed to detect SREBP-1,FASN,ACC,ChREBP,P300,CBP,H3K18ac and H3K27ac protein levels.Results Compared with control mice,the levels of FBG,BUN,Scr and UAE were significantly increased in diabetic mice(FBG:2.52 times,BUN:2.89 times,Scr:2.13 times,UAE:4.21 times),while diabetic mice treatment with A-485 exhibi-ted a remarkable decrease on BUN,Scr and UAE(BUN:0.511 times,Scr:0.636 times,UAE:0.574 times,P＜0.01).The results of the transmission electron microscopy and oil red O stai-ning showed that A-485 treatment prevents lipid droplets forma-tion and up-regulation of SREBP-1,FASN,ACC and ChREBP in renal tubular cells of diabetic mice(SREBP-1:0.544 times,FASN:0.449 times,ACC:0.306 times,ChREBP:0.317 times,P＜0.01).Furthermore,A-485 intervention downregu-lated the enzyme activity of P300(0.546 times)and suppressed the expression of H3K18ac(0.337 times)and H3K27ac(0.308 times,P＜0.01).Conclusion A-485 can significant-ly improve renal lipid metabolic disorder in diabetic mice,which may be achieved by inhibiting p300-induced H3K18ac and H3K27ac.

ObjectiveTo establish an early predictive model using serological markers based on LASSO regression for predicting the possibility of HBsAg clearance in HBeAg-negative chronic hepatitis B （CHB） patients treated with pegylated interferon α-2b （PEG-IFNα-2b）， and to investigate the diagnostic value of the model. MethodsA total of 136 HBeAg-negative CHB patients who received PEG-IFNα-2b treatment in the Affiliated Hospital of Xuzhou Medical University from April 2020 to October 2021 were enrolled， among whom 47 received PEG-IFNα-2b for the first time （previously untreated） and 89 received PEG-IFNα-2b after 48 weeks of treatment with nucleos（t）ide analogues （treatment-experienced）. The patients were randomly assigned to a training set with 95 patients and a validation set with 41 patients at a ratio of 7∶3， and related data were collected for both groups， including virological markers， routine blood test results， and liver function at baseline and week 12 of treatment. According to HBsAg status at week 48 of treatment， the patients were divided into seroconversion group with 38 patients and non-seroconversion group with 98 patients. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical variables between two groups. The LASSO regression analysis and univariate and multivariate logistic regression analyses were used to establish a nomogram model； the receiver operating characteristic （ROC） curve was used to assess its predictive ability， and the area under the ROC curve （AUC） was used for comparison of predictive value. ResultsIn the training set， 95 HBeAg-negative CHB patients were treated with PEG-IFNα-2b for 48 weeks， among whom there were 27 patients in the seroconversion group and 68 in the non-seroconversion group. The univariate Logistic regression analysis， with P<0.2 as the criterion for screening， showed that 9 indicators were included in the LASSO regression analysis， i.e.， sex， baseline HBV DNA level， the reduction in HBV DNA in 0 — 12 weeks， baseline HBsAg level， the reduction in HBsAg in 0 — 12 weeks， baseline aspartate aminotransferase （AST） level， the reduction in AST in 0 — 12 weeks， baseline alanine aminotransferase （ALT） level， and the reduction in ALT in 0 — 12 weeks. The LASSO regression analysis showed that sex， baseline HBsAg level， the reduction in HBsAg in 0 — 12 weeks， and the reduction in ALT in 0 — 12 weeks were non-zero variables and were included in the multivariate Logistic regression analysis. The multivariate Logistic regression analysis obtained 4 independent predictive factors， i.e.， sex （odds ratio ［OR］=5.38， 95% confidence interval ［CI］： 1.11 — 34.21， P=0.049）， baseline HBsAg level （OR=0.12， 95%CI： 0.04 — 0.26， P<0.001）， the reduction in HBsAg in 0 — 12 weeks （OR=5.54， 95%CI： 1.97 — 19.18， P=0.003）， and the reduction in ALT in 0 — 12 weeks （OR=0.99， 95%CI： 0.97 — 1.00， P=0.039）. A nomogram model was established based on the results of the multivariate Logistic regression analysis， and the ROC curve was used to assess the predictive value of this nomogram model. This nomogram model had an AUC of 0.934 （95%CI： 0.886 — 0.981） in the training set and an AUC of 0.921 （95%CI： 0.838 — 1.000） in the validation set. In addition， the results of calibration curve and decision curve analyses showed that the model had good consistency and accuracy. ConclusionBased on general information and serological markers， the LASSO regression analysis is used to establish a nomogram model using sex， baseline HBsAg level， the reduction in HBsAg in 0 — 12 weeks， and the reduction in ALT in 0 — 12 weeks， and this model can be used to predict the probability of achieving HBsAg clearance in HBeAg-negative CHB patients treated with PEG-IFNα-2b， which provides important reference and theoretical support for the clinical treatment of patients.

Objective:To explore the optimal match degree between thoracolumbar kyphosis (TLK) and lower lumbar lordosis (LLL) in adult spinal deformity (ASD) after correction surgery.Methods:Data of 119 ASD patients (male: 28, female: 91), belonging to the Affiliated Hospital of Jining Medical University (19 cases), the Affiliated Hospital of Shandong University of Traditional Chinese Medicine (11 cases), and the First Medical Center of Chinese PLA General Hospital (89 cases) were reviewed and documented from March 2019 to March 2020. All patients (age, 64.48±8.88 years; range, 45-79 years) underwent the surgical procedure of thoracolumbar fusion with instrumentations were followed up over 24 months (51.68±15.60 months; range, 24-87 months) after surgery. Postoperative proximal interface failure, Oswestry disability index (ODI) score and Scoliosis Research Society-22 (SRS-22) score were recorded for all patients. The immediate match of TLK to LLL postoperatively was calculated as follows: TLM=TLK/LLL. The data of those individuals with excellent improvements in the ODI (>50%) at the final follow-up were recorded and analyzed. Then the mean value and the 95% CI of TLM in those individuals were calculated. All participants were subdivided into three groups according to the 95% CI value of TLM. After the receiver operating characteristic curve (ROC) analyzing, the area under the ROC curve (AUC) was the best cutoff value of TLM. The association of proximal junctional failure (PJF) developing with the abnormal TLM postoperatively was analyzed with logistic regression, and the odds ratio (OR) was calculated. Results:62 patients had significant improvements in ODI (>50%) at the final follow-up, and the mean TLM in those individuals was 0.41 [95% CI (0.2, 0.5)]. All patients were divided into three groups: TLM<0.2 (35 cases), 0.2≤TLM≤0.5 (48 cases) and TLM>0.5 (36 cases). The preoperative TLK (13.87°±16.61°) and T 1 pelvic angle (19.69°±10.55°) in the those patients with TLM<0.2 were the smallest, and those were the largest in those with TLM>0.5 (30.59°±16.68°, 28.30°±14.46°). The individuals with TLM<0.2 still had the smallest TLK (2.89°±1.78°), however, those with TLM>0.5 had the largest TLK (17.13°±12.13°) and the smallest LLL (-26.16°±11.02°) accordingly. Additionally, the ODI and SRS-22 for those with 0.2≤TLM≤0.5 at the final follow-up were the best ( P<0.05). ROC curve analysis results showed that the best cutoff value of TLM was 0.4 (sensitivity=78.9%, specificity=76.2%; AUC=0.802, 95% CI (0.708, 0.896) , P<0.001). During the follow-up after orthopedic surgery, there were 19 patients with postoperative proximal junction failure, including 16 patients in the mismatched group (6 patients in the TLM<0.2 group, 10 patients in the TLM>0.5 group) and 3 patients in the matched group (0.2≤TLM≤0.5 group), with the incidence of 23% (16/71) and 6% (3/48), respectively. The difference was statistically significant (χ 2=5.66, P=0.017). Thoracolumbar mismatch was significantly associated with proximal borderline failure after orthosis [ OR=4.35, 95% CI (1.196, 15.924)]. Conclusion:The abnormal correction in thoracolumbar kyphosis and lower lumbar lordosis may result in mismatch between thoracolumbar segments, which would undermine the quality of life, and increase the incidence of proximal junctional failure developing in those ASD patients underwent long-fusion surgeries. The match between TLK and LLL should be 0.2 to 0.5.

Objective:To investigate the effects of the systemic immune-inflammation index (SII)on the long-term survival in esophageal cancer patients treated with radiotherapy.Methods:Aretrospective review was conducted for the clinical data of 303 patients with esophageal squamous cell carcinoma(ESCC)who received radical radiotherapy in the Fourth Hospital of Hebei Medical University from 2011 to 2017. These patients were divided into a high-SII group and a low-SII group according to their SII before radiotherapy. The correlation between SII and survival was determined using the Kaplan-Meier method and Cox regression model. Propensity score matching (PSM) was applied to reduce bias from measured confounding.Results:The SII of patients before radiotherapy was correlated significantly with T stage ( χ2=8.015, P=0.018) and TNM stage ( χ2=8.619, P=0.013). The 1-, 3-, 5-year overall survival (OS) rates in the high-SII group were 64.9%, 27.1%, and 19.4%, respectively. They were significantly lower than those in the low-SII group, which were 84.9%, 43.9%, and 30.5%, respectively (χ 2=13.443, P<0.001). The 1-, 3-, 5-year progression-free survival (PFS) rates in the high-SII group were 46.4%, 20.3%, and 13.3%, respectively. They were significantly lower than those in the low-SII group, which were 67.8%, 34.8%, and 26.5%, respectively (χ 2=12.383, P<0.001). The multivariate analysis indicated that the independent factors influencing the OS and PFS included T stage, lymph node metastasis, chemotherapy, and SII.After PSM was applied, the OS and PFS in the high-SII group were still lower than those in the low-SII group(χ 2OS=4.264, P=0.039; χ 2PFS=5.376, P=0.020), and the multivariate analysis showed that SII was a significant predictor for OS and PFS( HROS=1.357, P=0.037; HRPFS=1.393, P=0.022). Conclusions:SII is a significant independent influencing factor of the OS and PFS inESCC patients treated with received radiotherapy. Based on simple and inexpensive standard laboratory measurements, SII can be a promising marker for ESCC patients.

Objective To investigate the prevalence rate of occult HBV infection (OBI) in patients with autoimmune hepatitis (AIH) and the influence of OBI in the clinical condition and prognosis of AIH patients. Methods A total of 103 patients with a confirmed diagnosis of AIH who were admitted to Beijing YouAn Hospital from April 2012 to March 2019 were enrolled. Nested PCR and real-time PCR were used to confirm the diagnosis of OBI, and real-time PCR was used to measure HBV pgRNA. Clinical features, laboratory markers, and follow-up analysis of prognosis were compared between the OBI group with 24 patients and the non-OBI group with 79 patients. The independent samples t -test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data between two groups; the chi-square test or the Fisher's exact test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to plot survival curves, and the Cox regression model was used to perform univariate and multivariate analyses. Hazard ratio and its 95% confidence interval were calculated. Results The detection rate of OBI was 23.30% (24/103) in AIH patients, with an HBV DNA viral load of < 200 IU/mL, among whom 9 patients with OBI (9/24, 37.50%) were found to have HBV pgRNA in serum. Compared with the non-OBI group, the OBI group had a significantly higher positive rate of the three antibodies anti-HBs, anti-HBc, and anti-HBe ( χ 2 =5.906, P =0.016). The univariate analysis showed that OBI, hypoproteinemia, splenomegaly, and ascites were risk factors for adverse events in AIH (all P < 0.05) and were associated with disease progression, and the multivariate Cox regression analysis showed that hypoproteinemia and ascites were independent risk factors for adverse events (all P < 0.05). Conclusion There is a relatively high detection rate of OBI in AIH patients, and the presence of OBI may accelerate the progression of AIH.

Objective:To study the prognostic impact of prognostic nutritional index (PNI) before radiotherapy in clinical stage Ⅲ esophageal cancer patients.Methods:We retrospectively reviewed 125 esophageal cancer patients with clinical stage Ⅲ undergoing definitive radiotherapy in Fourth Hospital of Hebei Medical University from 2013 to 2017. The PNI and nutritional risk index (NRI) were calculated before radiotherapy. The optimal cutoff value of PNI was determined by time-dependent receiver operating characteristics (ROC) at 49.925.The patients were divided into low PNI group(PNI<49.925) and high PNI group (PNI≥49.925). Based on NRI, the patients were divided into normal NRI group (NRI≥100) and abnormal NRI group (NRI<100). Kaplan-Meier method was used to calculate the overall survival (OS) and progression-free survival (PFS) and to perform univariate analysis. The mutlivariate analysis was performed by Cox regression model.Results:PNI was positively correlated with hemoglobin ( r=0.505, P<0.001) and NRI ( r=0.594, P<0.001). The 1-, 3- and 5-year OS rates in the low PNI group were significantly lower than those of the high PNI group (67.5%, 27.3%, 11.4% vs. 85.4%, 45.8%, 27.4%, respectively, χ2=8.569, P<0.05). Moreover, the 1-, 3- and 5-year PFS rates in the low PNI group were obviously higher than those in the high PNI group (59.7%, 23.2%, 4.9% vs. 79.2%, 35.4%, 24.9%, respectively, χ2=6.715, P<0.05). Univariate analysis showed that GTV, radiotherapy dose, chemotherapy, albumin, NRI and PNI were significantly correlated with OS and PFS (OS: χ2=6.822, 4.326, 4.474, 13.123, 8.846, 8.569, P<0.05: PFS: χ2=7.869, 4.636, 5.874, 10.911, 8.544, 6.715, P<0.05). Multivariate analysis showed that GTV, radiotherapy dose and PNI were independent prognostic factors for OS ( P<0.05). And GTV, radiotherapy dose, chemotherapy and PNI were independent prognostic factors for PFS ( P<0.05). Conclusions:The PNI before radiotherapy is a significant and independent predictor for survival of clinical stage Ⅲ esophageal cancer patients. Based on simple and inexpensive standard laboratory measurements, PNI could be a promising prognostic biomarker for esophageal cancer patients.

Objective:To analyze the therapeutic effects and prognosis after radiotherapy (chemotherapy) of patients with postoperative recurrent esophageal cancer.Methods:This study analyzed 501 patients with postoperative recurrent esophageal cancer who were treated in the Radiotherapy Department of the Fourth Hospital of Hebei Medical University and met enrollment conditions. Among them, 274 patients received concurrent chemotherapy and radiotherapy. The analyses in this study focused on the survival after the retreatment, postoperative recurrence patterns, prognosis of retreatment, and prognostic factors affecting the retreatment. Meanwhile, statistical analysis was conducted using the software SPSS Statistics 19.0.Results:The time of postoperative recurrence was 0.3-87.4 months, with a median number of 11.6 months. The median survival time was 12.1 months after the retreatment. Among all the patients, 344 patients suffered from only local recurrence, while the remaining 157 patients experienced distant metastasis. According to multivariate analysis result, independent prognostic factors included gender, pN stage, lymph node positive logarithmic ratio (LODDS), the number of chemotherapy cycles, time of recurrence, and distant metastasis ( P < 0.05). Meanwhile, prognostic factors affecting the 344 patients with only local recurrence included the time of recurrence, the number of chemotherapy cycles, and prescription dose ( χ2=22.605, 13.957, 10.446; P< 0.05). The remaining 157 patients suffered from distant metastasis. The 1-, 3-, and 5-year survival rates of them were 43.3%, 9.1%, and 5.5%, respectively, and those of the patients with only local recurrence were 53.6%, 22.6%, and 16.4%, respectively. The differences were statistically significant (χ 2=10.786, P< 0.05). Conclusions:Radiotherapy (chemotherapy) is safe and effective for the treatment of recurrent esophageal cancer. However, it features poor prognosis for male patients with a late pN stage, a high LODDS, the number of chemotherapy cycles ≤ 2, the time of recurrence≤ 24 months, and distant metastasis.

Objective:To evaluate the effects of different irradiation doses on postoperative local recurrence in patients with esophageal cancer after radio (chemo) therapy.Methods:Clinical data of 331 esophageal cancer patients presenting with postoperative local recurrence admitted to our hospital from 2009 to 2014 were collected. The recurrence site, the effects of different radiotherapy doses on the prognosis of patients and the independent prognostic factors were retrospectively analyzed. The survival rate was calculated by Kaplan-Meier method. Univariate prognostic analysis was performed by log-rank test. Multivariate prognostic analysis was conducted by Cox proportional hazard regression model.Results:The 1-, 3-and 5-year overall survival rates were 54.3%, 23.2% and 16.6%, respectively. The median overall survival was 13.4 months (95% CI: 11.7-15.0). The median survival of patients with radiotherapy doses< 60 Gy and ≥60 Gy was 10.8 and 13.9 months ( P=0.013). Stratified analysis showed that patients with age< 60 years, no smoking history, no drinking history, no family history, upper thoracic segment, left thoracotomy, N 0 staging, log odds of positive lymph nodes (LODDS)< 0.030, recurrence time ≥ 13.1 months and recurrence site ≥ 2 had better prognosis when receiving radiotherapy dose ≥ 60 Gy ( P=0.038, 0.033, 0.001, 0.003, 0.018, 0.010, 0.041, 0.039, 0.043 and 0.007). Moreover, the short-term clinical efficacy of patients treated with ≥60 Gy dose was significantly better than that of those with<60 Gy dose ( P<0.001), which did not increase the incidence of ≥grade 2 radiation-induced gastritis ( P=0.977) or radiation-induced pneumonitis ( P=0.444). Cox multivariate analysis showed that the LODDS size, prescription dose and short-term efficacy were the independent factors affecting clinical prognosis of patients ( P=0.006, 0.008 and<0.001). Conclusions:The recommended dose for esophageal cancer patients with local recurrence after radiotherapy (chemotherapy) is greater than or equal to 60 Gy. The results of this study need to be confirmed by prospective studies with a large sample size.

Objective:To analyze the characteristics of clinical and laboratory indexes in patients with liver disease with positive anti-liver cytosol antibody type 1 (anti-LC1), in order to provide references for clinical and differential diagnosis.Methods:The clinical data of 23 832 inpatients and outpatients with positive anti-LC1 autoantibodies detected in routine autoantibody test from January 2010 to January 2020 were retrospectively analyzed, and their clinical and laboratory indexes were compared. Western blotting was used to detect anti-LC1, anti-soluble liver antigen antibody (anti-SLA), anti-glycoprotein 210 antibodies and anti-nucleosome 100 antibodies. Indirect immunofluorescence assay was used to detect anti-nuclear antibody (ANA), anti-mitochondrial antibody, anti-Smooth muscle antibody (ASMA), anti-liver and kidney microsomal antibody (anti-LKM) and other autoantibodies. Normally distributed measurement data between the two groups were compared by independent-sample t-test, and the multiple groups comparison were compared by one-way analysis of variance. Non-normally distributed measurement data were compared by non-parametric rank sum test.Results:38 anti-LC1 positive patients were detected in 23832 autoantibody tests. The age of initial diagnosis ranged from 11.0 to 84.0 (50.6 ± 16.0) years. There were 8 males (21.1%) and 30 females (78.9%). A total of 31 cases (81.6%) were positive for anti-LC1 and ANA, and the dominant karyotype was speckled pattern, accounting for 54.8%. Five cases (13.2%) were positive for ASMA, and no simultaneous positive with anti-LKM or anti-SLA. Among the 38 anti-LC1 positive patients, 9 were diagnosed with autoimmune hepatitis (AIH), 6 with possible AIH, 6 with primary biliary cholangitis (PBC), 8 with hepatitis B, 2 with hepatitis C, 1 with alcoholic liver disease, 2 with non-alcoholic fatty liver disease, 1 with drug-induced liver injury, 1 with hepatolenticular degeneration, and 2 with tumor. Confirmed and probable AIH cases accounted for 39.5% (15/38) of anti-LC1 positive cases. Among anti-LC1 positive patients, 47.4% (18/38) had entered the stage of liver cirrhosis. AIH group globulin level was higher than HBV group ( P = 0.006) and other disease groups ( P = 0.001). AIH group IgG level was higher than PBC group ( P = 0.027), HBV group ( P = 0.009) and other disease groups ( P = 0.004). the of the PBC group IgM level was higher than AIH group ( P = 0.003), HBV group ( P = 0.003) and other disease groups ( P = 0.006). Conclusion:Anti-LC1 is not only detected in AIH, but also observed in patients with primary biliary cholangitis, hepatitis B and C, alcoholic and non-alcoholic liver disease, drug-induced liver injury, hereditary metabolic liver disease and tumor. In addition, it is mainly female gender dominance and nearly half of ANA-positive young, middle-aged and elderly patients develop liver cirrhosis. For the diagnosis of type 2 autoimmune hepatitis, whether anti-LC1 is a specific antibody needs further research, but if AIH is highly suspected, this antibody can be used as a substitute.