BACKGROUND Liver cancer resection,especially in patients with hemihepatectomy or extended hemihepatectomy,often leads to poor prognosis,such as liver insufficiency and even liver failure and death,because the standard...BACKGROUND Liver cancer resection,especially in patients with hemihepatectomy or extended hemihepatectomy,often leads to poor prognosis,such as liver insufficiency and even liver failure and death,because the standard residual liver volume(SRLV)cannot be fully compensated after surgery.AIM To explore the risk factors of poor prognosis after hemihepatectomy for hepatocellular carcinoma and evaluate the application value of related prognostic approaches.METHODS The clinical data of 35 patients with primary liver cancer in Nantong Third People's Hospital from February 2016 to July 2020 were retrospectively analyzed.The receiver operating characteristic curve was created using medcac19.0.4 to compare the critical values of the SRLV in different stages of liver fibrosis after hemihepatectomy with those of liver dysfunction after hemihepatectomy.It was constructed by combining the Child-Pugh score to evaluate its application value in predicting liver function compensation.RESULTS The liver stiffness measure(LSM)value and SRLV were associated with liver dysfunction after hemihepatectomy.Logistic regression analysis showed that an LSM value≥25 kPa[odds ratio(OR)=6.254,P<0.05]and SRLV≤0.290 L/m^(2)(OR=5.686,P<0.05)were independent risk factors for postoperative liver dysfunction.The accuracy of the new liver reserve evaluation model for predicting postoperative liver function was higher than that of the Child-Pugh score(P<0.05).CONCLUSION SRLV and LSM values can be used to evaluate the safety of hemihepatectomy.The new liver reserve evaluation model has good application potential in the evaluation of liver reserve function after hemihepatectomy.展开更多
AIM: To observe the prevalence of hepatitis B virus (HBV) infection in maintenance hemodialysis patients. METHODS: Eighty-eight hemodialysis patients who had been receiving hemodialysis regularly for an average of...AIM: To observe the prevalence of hepatitis B virus (HBV) infection in maintenance hemodialysis patients. METHODS: Eighty-eight hemodialysis patients who had been receiving hemodialysis regularly for an average of 39.45 ± 7.57 (range from 36 to 49) rno were enrolled in this study. HBV markers were measured in these patients before hemodialysis and in 100 healthy controls by the chemiluminescent microparticle immunoassay (CMI) method in order to compare the incidence of HBV infection in hemodialysis patients versus normal healthy people. All patients were then divided into two groups: patients positive for HBV markers (i.e. those positive for HBsAg, anti-HBc, HBeAg, anti-HBe, with or without positive anti-HBs) (n = 33), and patients negative for HBV markers (including those only positive anti-HBs) (n = 55). The following information was obtained for all patients: socio-demographic data, number of blood transfusions and some laboratory investigations. After 39.45 ± 7.57 mo follow-up, HBV markers were measured in these patients by CMI. RESULTS: The incidence of HBV infection in maintenance hemodialysis patients was 37.5%, which was higher than in controls (9%). In the patients positive for HBV markers, there were 13 patients (39.4%) who had a history of blood transfusion, which was more than the number [12 (21.8%), P = 0.04] of patients negative for HBV markers. Eight of the 88 patients negative for HBV markers turned out to be positive, while three of the 33 patients positive for HBV markers turned out to be negative. There was no cirrhosis of the liver or hepatoma occurring in these patients. CONCLUSION: Maintenance hemodialysis patientshave a higher risk of HBV infection than the average population. The number of blood transfusions is associated with an increased prevalence of HBV. While it is hard for hemodialysis patients to eliminate HBV, the prognosis of patients with positive HBV markers is good.展开更多
AIM: To determine the clinicopathological characteristics of nonsteroidal anti-inflammatory drug (NSAID)-induced acute hepato-nephrotoxicity among Chinese patients.
基金Supported by Nantong Municipal Health Commission,No.MSZ2022036 and No.QN2022041Nantong Science and Technology Bureau,No.JCZ2022036.
文摘BACKGROUND Liver cancer resection,especially in patients with hemihepatectomy or extended hemihepatectomy,often leads to poor prognosis,such as liver insufficiency and even liver failure and death,because the standard residual liver volume(SRLV)cannot be fully compensated after surgery.AIM To explore the risk factors of poor prognosis after hemihepatectomy for hepatocellular carcinoma and evaluate the application value of related prognostic approaches.METHODS The clinical data of 35 patients with primary liver cancer in Nantong Third People's Hospital from February 2016 to July 2020 were retrospectively analyzed.The receiver operating characteristic curve was created using medcac19.0.4 to compare the critical values of the SRLV in different stages of liver fibrosis after hemihepatectomy with those of liver dysfunction after hemihepatectomy.It was constructed by combining the Child-Pugh score to evaluate its application value in predicting liver function compensation.RESULTS The liver stiffness measure(LSM)value and SRLV were associated with liver dysfunction after hemihepatectomy.Logistic regression analysis showed that an LSM value≥25 kPa[odds ratio(OR)=6.254,P<0.05]and SRLV≤0.290 L/m^(2)(OR=5.686,P<0.05)were independent risk factors for postoperative liver dysfunction.The accuracy of the new liver reserve evaluation model for predicting postoperative liver function was higher than that of the Child-Pugh score(P<0.05).CONCLUSION SRLV and LSM values can be used to evaluate the safety of hemihepatectomy.The new liver reserve evaluation model has good application potential in the evaluation of liver reserve function after hemihepatectomy.
文摘AIM: To observe the prevalence of hepatitis B virus (HBV) infection in maintenance hemodialysis patients. METHODS: Eighty-eight hemodialysis patients who had been receiving hemodialysis regularly for an average of 39.45 ± 7.57 (range from 36 to 49) rno were enrolled in this study. HBV markers were measured in these patients before hemodialysis and in 100 healthy controls by the chemiluminescent microparticle immunoassay (CMI) method in order to compare the incidence of HBV infection in hemodialysis patients versus normal healthy people. All patients were then divided into two groups: patients positive for HBV markers (i.e. those positive for HBsAg, anti-HBc, HBeAg, anti-HBe, with or without positive anti-HBs) (n = 33), and patients negative for HBV markers (including those only positive anti-HBs) (n = 55). The following information was obtained for all patients: socio-demographic data, number of blood transfusions and some laboratory investigations. After 39.45 ± 7.57 mo follow-up, HBV markers were measured in these patients by CMI. RESULTS: The incidence of HBV infection in maintenance hemodialysis patients was 37.5%, which was higher than in controls (9%). In the patients positive for HBV markers, there were 13 patients (39.4%) who had a history of blood transfusion, which was more than the number [12 (21.8%), P = 0.04] of patients negative for HBV markers. Eight of the 88 patients negative for HBV markers turned out to be positive, while three of the 33 patients positive for HBV markers turned out to be negative. There was no cirrhosis of the liver or hepatoma occurring in these patients. CONCLUSION: Maintenance hemodialysis patientshave a higher risk of HBV infection than the average population. The number of blood transfusions is associated with an increased prevalence of HBV. While it is hard for hemodialysis patients to eliminate HBV, the prognosis of patients with positive HBV markers is good.
基金Supported by National Natural Science Foundation of China,No.81200535China-Japan Friendship Hospital Youth Science and Technology Excellence Project,No.2014-QNYC-A-01
文摘AIM: To determine the clinicopathological characteristics of nonsteroidal anti-inflammatory drug (NSAID)-induced acute hepato-nephrotoxicity among Chinese patients.