This study was aimed at investigating the prevalence of Dabie bandavirus(DBV)infection in suspected cases of se-vere fever with thrombocytopenia syndrome(SFTS)and tick specimens in Cangzhou City from 2023 to 2024,and providing scientific basis for the prevention,control and pathogen surveillance of SFTS in this area.Pathogen detection and virus isolation were performed on suspected SFTS cases and tick specimens collected in Cangzhou City from 2023 to 2024.The next-generation sequencing technol-ogy was used to conduct whole-genome sequencing of DBV.A phylogenetic tree was constructed using software such as MEGA,DNA Star,and homology comparison and amino acid variation site analysis were carried out.Among the 70 suspected SFTS cases,the DBV positive detection rate was 60%(42/70).The positive cases were mainly farmers aged 50-79,concentrated in Yanshan County and Haixing County.402 ticks were pooled into 31 sample tubes,among which 2 tubes tested positive for DBV nucleic acid,with a mini-mum infection rate of 0.50%.A total of 9 human-derived and 2 tick-derived DBV strains were isolated.The whole-genome sequencing results showed that all strains clustered within the F branch,with sequences homology exceeding 99%.There were a total of 10 amino acid variation sites in the RdRP,GP and NSs sequences.Therefore,the distribution of SFTS cases in Cangzhou City exhibited regional clustering.The overall level of DBV infection in ticks in this region was relatively low.It is recommended to further improve the disease early warning mechanism and continue to conduct pathogen surveillance.

Objective:To analyze the relationship between the expression of DOG-1 and Ki67 and postoperative complications in patients with gastric neoplasms.Methods:A total of 84 cases of gastric neoplasms admitted to Huzhou First People's Hospital from January 2022 to January 2024 were retrospectively selected as the study objects. All patients underwent surgical resection. The DOG-1 and Ki67 positive expression rates of cancer tissue and adjacent tissues were compared. According to the incidence of complications 1 month after surgery, the patients were divided into the non-complication group (58 cases) and the complication group (26 cases), and the positive expression rates of DOG-1 and Ki67 in the cancer tissues of the two groups were compared. Spearman correlation coefficient model was used to analyze the correlation between DOG-1 and Ki67 positive expression and complications. Logistic regression was used to analyze the risk factors of postoperative complications in patients with gastric neoplasms.Results:The positive expression rates of DOG-1 and Ki67 in the cancer tissues were higher than those in the adjacent tissues: 77.38% (65/84) vs. 15.48% (13/84), 73.81% (62/84) vs. 17.86%(15/84), there were statistical differences ( P<0.05).The positive expression rates of DOG-1 and Ki67 in difference maximum tumor diameter, TNM stage, lymph node metastasis, pathological grade, lymph vascular space infiltration had statistical significance ( P<0.05). The positive expression rates of DOG-1 and Ki67 in the complication group were higher than those in the non-complication group: 92.31%(24/26) vs. 70.69%(41/58),88.46%(23/26) vs. 67.24%(39/58), there were statistical differences ( P<0.05).Correlation analysis showed that the positive expressions of DOG-1 and Ki67 were positively correlated with postoperative complications ( r = 0.741, 0.582, P<0.05). Logistic regression model showed that maximum tumor diameter, TNM stage, lymph node metastasis, pathological grade, lymphovascular space infiltration, DOG-1 and Ki67 were risk factors for postoperative complications in patients with gastric neoplasms ( P<0.05). Conclusions:In gastric cancer tissues, the positive expression rates of DOG-1 and Ki67 are high, and they are related to postoperative complications, which are influential factors leading to postoperative complications in patients with gastric neoplasms.

Objective To establish an optimized diagnostic model for hepatocellular carcinoma(HCC),designated as G-GADA,in chronic hepatitis B(CHB)patients based on the parameters of age,sex,alpha-fetoprotein(AFP),des-γ-carboxy prothrombin(DCP),and Golgi protein 73(GP73),to address the problems of low sensitivity and specificity in the early diagnosis of hepatitis B virus(HBV)-related liver cancer,and to assess the value of this model in the diagnosis of HCC.Methods A retrospective analysis was performed for 201 CHB patients(CHB group),137 patients with HBV-related liver cirrhosis(LC group),and 111 treatment-na?ve patients with newly diagnosed HCC(HCC group)who were admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University from June 2015 to June 2020.Serological markers(AFP,DCP,alpha-fetoprotein L3%[AFP-L3%],and GP73)were compared between groups and were analyzed in terms of their differences from the clinical and tumor characteristics of HCC patients,and the Spearman correlation analysis was used to assess the correlation between different markers.A Logistic regression analysis was used to establish a diagnostic model for liver cancer,and the receiver operating characteristic(ROC)curve was used to assess the diagnostic performance of each marker.Results Comparison of clinical features between CHB,LC,and HCC patients showed that HCC patients had significantly higher age,proportion of male patients,and serum levels of DCP,AFP,GP73,and AFP-L3%(all P<0.05).In HCC patients,DCP levels are associated with tumor size and microvascular invasion;AFP levels are related to patient age,tumor size,tumor number,distant metastasis,and microvascular invasion;AFP-L3%levels are associated with patient age,tumor size,tumor number,distant metastasis,Milan staging,and microvascular invasion;GP73 levels are linked to tumor number,distant metastasis,and microvascular invasion(all P<0.05).The correlation analysis of the serum markers showed a strong positive correlation between AFP and AFP-L3%(r=0.71,P<0.05)and a moderate positive correlation between AFP and GP73(r=0.33,P<0.05)and between AFP-L3%and GP73(r=0.41,P<0.05).Based on the features of age,sex,DCP,AFP,and GP73,the multivariate Logistic regression analysis was used to establish a G-GADA diagnostic model for HCC,and for all patients,the G-GADA model had an area under the ROC curve(AUC)of 0.915(95%confidence interval[CI]:0.875-0.945)in the derivation cohort and 0.913(95%CI:0.862-0.950)in the validation cohort for the diagnosis of HCC.In the AFP-negative patients,the G-GADA model achieved an AUC of 0.884(95%CI:0.833-0.924)in the derivation cohort and 0.851(95%CI:0.779-0.907)in the validation cohort,and in the patients with liver cirrhosis,the G-GADA model achieved an AUC of 0.901(95%CI:0.841-0.944)in the derivation cohort and 0.885(95%CI:0.806-0.940)in the validation cohort.Conclusion The G-GADA diagnostic model based on multiple variables significantly improves the detection rate of HCC,and demonstrates superior diagnostic performance in patients with low AFP expression and those with liver cirrhosis.The G-GADA model has a better clinical application value in the noninvasive diagnosis of HCC.

Objective:To analyze the relationship between the expression of DOG-1 and Ki67 and postoperative complications in patients with gastric neoplasms.Methods:A total of 84 cases of gastric neoplasms admitted to Huzhou First People's Hospital from January 2022 to January 2024 were retrospectively selected as the study objects. All patients underwent surgical resection. The DOG-1 and Ki67 positive expression rates of cancer tissue and adjacent tissues were compared. According to the incidence of complications 1 month after surgery, the patients were divided into the non-complication group (58 cases) and the complication group (26 cases), and the positive expression rates of DOG-1 and Ki67 in the cancer tissues of the two groups were compared. Spearman correlation coefficient model was used to analyze the correlation between DOG-1 and Ki67 positive expression and complications. Logistic regression was used to analyze the risk factors of postoperative complications in patients with gastric neoplasms.Results:The positive expression rates of DOG-1 and Ki67 in the cancer tissues were higher than those in the adjacent tissues: 77.38% (65/84) vs. 15.48% (13/84), 73.81% (62/84) vs. 17.86%(15/84), there were statistical differences ( P<0.05).The positive expression rates of DOG-1 and Ki67 in difference maximum tumor diameter, TNM stage, lymph node metastasis, pathological grade, lymph vascular space infiltration had statistical significance ( P<0.05). The positive expression rates of DOG-1 and Ki67 in the complication group were higher than those in the non-complication group: 92.31%(24/26) vs. 70.69%(41/58),88.46%(23/26) vs. 67.24%(39/58), there were statistical differences ( P<0.05).Correlation analysis showed that the positive expressions of DOG-1 and Ki67 were positively correlated with postoperative complications ( r = 0.741, 0.582, P<0.05). Logistic regression model showed that maximum tumor diameter, TNM stage, lymph node metastasis, pathological grade, lymphovascular space infiltration, DOG-1 and Ki67 were risk factors for postoperative complications in patients with gastric neoplasms ( P<0.05). Conclusions:In gastric cancer tissues, the positive expression rates of DOG-1 and Ki67 are high, and they are related to postoperative complications, which are influential factors leading to postoperative complications in patients with gastric neoplasms.

Objective:To predict the monthly incidence of hemorrhagic fever with renal syndrome (HFRS) in Hebei Province by using the generalized additive model (GAM).Methods:The incidence data of HFRS in Hebei from 2006 to 2020 were collected, and the correlation coefficients between meteorological factors and the monthly incidence of HFRS in Hebei were analyzed by Spearman's correlation, and the meteorological factors were lagged by 0-6 orders, and those with the largest absolute values of the correlation coefficients were screened to be included in the multifactorial GAM to evaluate the effects of meteorological factors.Results:The monthly incidence of HFRS had the strongest correlation with monthly mean air temperature at lag order 2, monthly mean wind speed at lag order 0, monthly mean sunshine at lag order 4, monthly mean precipitation at lag order 2 and monthly mean humidity at lag order 1, which were diagnosed by the variance inflation factor and included in the multifactorial GAM, and the results showed significant differences among the factors (all P<0.001), and they showed non-linear relationships with the monthly incidence of HFRS. Mean monthly temperature was an important factor influencing HFRS incidence. Mean monthly air temperature, mean monthly sunshine and mean monthly wind speed were negatively associated with HFRS incidence, whereas mean monthly precipitation and mean monthly humidity were positively associated with HFRS incidence. Conclusions:There was a complex non-linear relationship between meteorological factors and the incidence of HFRS. GAM incorporated with lagged meteorological factors can be used to predict the incidence of HFRS in Hebei.

Objective To establish an optimized diagnostic model for hepatocellular carcinoma(HCC),designated as G-GADA,in chronic hepatitis B(CHB)patients based on the parameters of age,sex,alpha-fetoprotein(AFP),des-γ-carboxy prothrombin(DCP),and Golgi protein 73(GP73),to address the problems of low sensitivity and specificity in the early diagnosis of hepatitis B virus(HBV)-related liver cancer,and to assess the value of this model in the diagnosis of HCC.Methods A retrospective analysis was performed for 201 CHB patients(CHB group),137 patients with HBV-related liver cirrhosis(LC group),and 111 treatment-na?ve patients with newly diagnosed HCC(HCC group)who were admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University from June 2015 to June 2020.Serological markers(AFP,DCP,alpha-fetoprotein L3%[AFP-L3%],and GP73)were compared between groups and were analyzed in terms of their differences from the clinical and tumor characteristics of HCC patients,and the Spearman correlation analysis was used to assess the correlation between different markers.A Logistic regression analysis was used to establish a diagnostic model for liver cancer,and the receiver operating characteristic(ROC)curve was used to assess the diagnostic performance of each marker.Results Comparison of clinical features between CHB,LC,and HCC patients showed that HCC patients had significantly higher age,proportion of male patients,and serum levels of DCP,AFP,GP73,and AFP-L3%(all P<0.05).In HCC patients,DCP levels are associated with tumor size and microvascular invasion;AFP levels are related to patient age,tumor size,tumor number,distant metastasis,and microvascular invasion;AFP-L3%levels are associated with patient age,tumor size,tumor number,distant metastasis,Milan staging,and microvascular invasion;GP73 levels are linked to tumor number,distant metastasis,and microvascular invasion(all P<0.05).The correlation analysis of the serum markers showed a strong positive correlation between AFP and AFP-L3%(r=0.71,P<0.05)and a moderate positive correlation between AFP and GP73(r=0.33,P<0.05)and between AFP-L3%and GP73(r=0.41,P<0.05).Based on the features of age,sex,DCP,AFP,and GP73,the multivariate Logistic regression analysis was used to establish a G-GADA diagnostic model for HCC,and for all patients,the G-GADA model had an area under the ROC curve(AUC)of 0.915(95%confidence interval[CI]:0.875-0.945)in the derivation cohort and 0.913(95%CI:0.862-0.950)in the validation cohort for the diagnosis of HCC.In the AFP-negative patients,the G-GADA model achieved an AUC of 0.884(95%CI:0.833-0.924)in the derivation cohort and 0.851(95%CI:0.779-0.907)in the validation cohort,and in the patients with liver cirrhosis,the G-GADA model achieved an AUC of 0.901(95%CI:0.841-0.944)in the derivation cohort and 0.885(95%CI:0.806-0.940)in the validation cohort.Conclusion The G-GADA diagnostic model based on multiple variables significantly improves the detection rate of HCC,and demonstrates superior diagnostic performance in patients with low AFP expression and those with liver cirrhosis.The G-GADA model has a better clinical application value in the noninvasive diagnosis of HCC.

This study was aimed at investigating the prevalence of Dabie bandavirus(DBV)infection in suspected cases of se-vere fever with thrombocytopenia syndrome(SFTS)and tick specimens in Cangzhou City from 2023 to 2024,and providing scientific basis for the prevention,control and pathogen surveillance of SFTS in this area.Pathogen detection and virus isolation were performed on suspected SFTS cases and tick specimens collected in Cangzhou City from 2023 to 2024.The next-generation sequencing technol-ogy was used to conduct whole-genome sequencing of DBV.A phylogenetic tree was constructed using software such as MEGA,DNA Star,and homology comparison and amino acid variation site analysis were carried out.Among the 70 suspected SFTS cases,the DBV positive detection rate was 60%(42/70).The positive cases were mainly farmers aged 50-79,concentrated in Yanshan County and Haixing County.402 ticks were pooled into 31 sample tubes,among which 2 tubes tested positive for DBV nucleic acid,with a mini-mum infection rate of 0.50%.A total of 9 human-derived and 2 tick-derived DBV strains were isolated.The whole-genome sequencing results showed that all strains clustered within the F branch,with sequences homology exceeding 99%.There were a total of 10 amino acid variation sites in the RdRP,GP and NSs sequences.Therefore,the distribution of SFTS cases in Cangzhou City exhibited regional clustering.The overall level of DBV infection in ticks in this region was relatively low.It is recommended to further improve the disease early warning mechanism and continue to conduct pathogen surveillance.

Objective To investigate the relationship between the levels of serum suppressor of cytokine signaling 3(SOCS3),growth differentiation factor-15(GDF-15)and liver fibrosis in patients with type 2 dia-betes mellitus(T2DM)combined with non-alcoholic fatty liver disease(NAFLD).Methods A total of 320 patients with T2DM combined with NAFLD who were hospitalized in this hospital from May 2023 to May 2024 were selected as the study group,and another 320 patients with simple T2DM admitted during the same period were selected as the control group.The levels of serum SOCS3 and GDF-15 were determined by en-zyme-linked immunosorbent assay(ELISA).Pearson correlation analysis was used to analyze the correlation between SOCS3,GDF-15 levels and liver fibrosis indicators.Logistic regression analysis was used to analyze the factors affecting the degree of liver fibrosis.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of serum SOCS3 and GDF-15 for the degree of liver fibrosis in patients.Results Compared with the control group,the levels of serum SOCS3,GDF-15,5,type Ⅲ procollagen peptide,laminin and type Ⅳ col-lagen in the study group were significantly increased(P＜0.05).There were statistically significant differ-ences in the levels of type Ⅲ procollagen peptide,laminin and type Ⅳ collagen between the mild to moderate group and the severe group(P＜0.05).Compared with the mild to moderate group,the levels of serum SOCS3 and GDF-15 in the severe group were significantly increased(P＜0.05).The results of Pearson corre-lation analysis showed that serum SOCS3 and GDF-15 in patients with T2DM combined with NAFLD were positively correlated with type Ⅲ procollagen peptide,laminin,and type Ⅳ collagen(P＜0.05).Serum SOCS3,GDF-1 5,type Ⅲ procollagen peptide,laminin and type Ⅳ collagen are risk factors affecting the degree of liver fibrosis in patients with T2DM combined with NAFLD(P＜0.05).The results of the ROC curve showed that the combined diagnosis of serum SOCS3 and GDF-15 for the degree of liver fibrosis in patients with T2DM complicated with NAFLD had the highest area under the curve(AUC),which was superior to the individual diagnosis of each(both P＜0.05),with a corresponding sensitivity of 69.08％and a specificity of 85.71％.The combined diagnosis of the degree of liver fibrosis in patients with T2DM complicated with NAFLD by serum SOCS3,GDF-15,type Ⅲ procollagen peptide,laminin,and type Ⅳ collagen had the highest AUC,which was superior to the individual diagnosis of each index(all P＜0.001),with a corresponding sensi-tivity of 89.47％and a specificity of 97.02％.Conclusion The levels of serum SOCS3 and GDF-15 are elevated in patients with T2DM combined with NAFLD,.The combined diagnosis of serum SOCS3,GDF-15,type Ⅲ procolla-gen peptide,laminin,and type Ⅳ collagen has a high value in the degree of liver fibrosis in patients.

Objective:To predict the monthly incidence of hemorrhagic fever with renal syndrome (HFRS) in Hebei Province by using the generalized additive model (GAM).Methods:The incidence data of HFRS in Hebei from 2006 to 2020 were collected, and the correlation coefficients between meteorological factors and the monthly incidence of HFRS in Hebei were analyzed by Spearman's correlation, and the meteorological factors were lagged by 0-6 orders, and those with the largest absolute values of the correlation coefficients were screened to be included in the multifactorial GAM to evaluate the effects of meteorological factors.Results:The monthly incidence of HFRS had the strongest correlation with monthly mean air temperature at lag order 2, monthly mean wind speed at lag order 0, monthly mean sunshine at lag order 4, monthly mean precipitation at lag order 2 and monthly mean humidity at lag order 1, which were diagnosed by the variance inflation factor and included in the multifactorial GAM, and the results showed significant differences among the factors (all P<0.001), and they showed non-linear relationships with the monthly incidence of HFRS. Mean monthly temperature was an important factor influencing HFRS incidence. Mean monthly air temperature, mean monthly sunshine and mean monthly wind speed were negatively associated with HFRS incidence, whereas mean monthly precipitation and mean monthly humidity were positively associated with HFRS incidence. Conclusions:There was a complex non-linear relationship between meteorological factors and the incidence of HFRS. GAM incorporated with lagged meteorological factors can be used to predict the incidence of HFRS in Hebei.

Objective:To evaluate the correlation between ultrasound parameters of internal carotid artery blood flow and regional cerebral oxygen saturation (rScO 2) in elderly patients undergoing coronary artery bypass grafting (CABG) under cardiopulmonary bypass (CPB). Methods:Sixty-four elderly patients undergoing elective CABG under CPB, aged 60-80 yr, regardless of gender, with body mass index of 18.1-28.9 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, with New York Heart Association class Ⅱ or Ⅲ, with left ventricular ejection fraction≥50%, were selected. The rScO 2 and ultrasonic parameters of internal carotid artery including peak systolic velocity (PSV-ICA), end-diastolic velocity (EDV-ICA), diameter (D-ICA) and blood flow volume (Q-ICA) were recorded before anesthesia induction (T 0), at surgical skin incision (T 1), at 30 and 60 min of CPB (mean value was calculated, T 2), and at 30 and 60 min after termination of CPB (mean value was calculated, T 3). The ratio of unilateral internal carotid artery blood flow to cardiac output (Q/CO) was calculated. The receiver operating characteristic curve was used to analyze the accuracy of ultrasound parameters of internal carotid artery blood flow in predicting rScO 2 < 60%. Results:PSV-ICA was positively correlated with rScO 2 at T 0, T 1 and T 3 ( P<0.05), but no correlation was found between PSV-ICA and rScO 2 at T 2 ( P>0.05). There was no correlation between EDV-ICA and rScO 2 at each time point ( P>0.05). Q-ICA was positively correlated with rScO 2 at each time point ( P<0.05). Q/CO was not correlated with rScO 2 at T 1 ( P>0.05), but Q/CO was positively correlated with rScO 2 at T 2 and T 3 ( P<0.05). During the non-CPB period (T 0, T 1, T 3), the cutoff values of PSV-ICA and Q-ICA in predicting rScO 2< 60% were 51.35 cm/s and 283.5 ml/min respectively, the sensitivity was 0.900 and 0.900 respectively, and the specificity was 0.610 and 0.857 respectively (AUC=0.761, P=0.006; AUC=0.903, P< 0.001). During the CPB period, the cutoff values of Q-ICA and Q/CO in predicting rScO 2<60% were 296.5 ml/min and 5.84% respectively, the sensitivity was 0.900 and 0.800, and the specificity was 0.545 and 0.659 (AUC=0.764, P=0.001; AUC=0.748, P=0.002), respectively. Conclusions:PSV-ICA and Q-ICA are positively correlated with rScO 2 during the non-CPB period, and Q-ICA and Q/CO are positively correlated with rScO 2 during the CPB period in elderly patients undergoing CABG. PSV-ICA, Q-ICA and Q/CO can accurately predict rScO 2<60%.