1.Clinical research of B-mode ultrasonography detecting middle hepatic vein in chronic liver disease
Xiaofeng WEN ; Zhongsheng JIANG ; Minji LI ; Shunping MA ; Bingling HE ; Nian CHEN ; Xuemei LI ; Liu KE
Chinese Journal of Primary Medicine and Pharmacy 2008;15(3):361-362,后插1
Objective To investigate the diagnostic value of B-mode ultrasonography in detecting middle hepatic vein(MHV)in chronic liver disease patients.Methods 80 chronic liver disease patients were divided into 2 groups(chronic hepatitis and liver cirrhosis).Liver biopsies and the inner diameter(ID)of MHV was detected with B-mode ultrasonography.The ID of MHV was compared in the chronic hepatitis and liver cirrhosis groups,different liver fibrosis stages and compensation/non-compensation liver cirrhosis.The ability of ID of MHV in auxiliary diagnosis liver cirrhosis was analyzed with the receiver operating characteristic curve(ROC).Results The size of ID of MHV in liver cirrhosis(3.82±1.84)mm was smaller than that of chronic hepatitis(6.15±1.67)mm(P<0.01).The size of ID of MHV in non-compensation liver cirrhosis(2.98±1.15)mm was smaller than that of compensation liver cirrhosis(4.42±2 20)mm(P<0.05).There was midrange negative correlation with liver fibrosis stages and the ID of MHV(rs=-0.465,P<0.01).The cutoff point of ID of MHV diagnosis liver cirrhosis was 4.7mm.The area under ROC(AUC)achieved 0.813(P<0.01).The sensitivity(Se),specificity,(Sp),positive predictive value (PPV),negative predictive value(NPV)and Youden index were 67.5%,90.0%,88.0%,73.5% and 57.5%,respectively.Conclusion There is well clinical value with B-mode ultrasonography detecting ID of MHV for the auxiliary diagnosis of chronic liver disease.
2.Influencing factors of the quality of postoperative rehabilitation of patients after cardiac large vessels surgery and establishment of prediction model
Ning LI ; Shunping TIAN ; Bei MA ; Hu LI ; Shiyu GUAN ; Jianyou ZHANG ; Luo ZHANG ; Qiang WANG ; Zhuan ZHANG
Journal of Clinical Medicine in Practice 2023;27(23):47-53
Objective To evaluate the quality of postoperative recovery of patients undergoing cardiac great vessels surgery by 15-item Recovery Quality Score Scale(QoR-15),to retrospectively analyze the influence of perioperative multi-factors on postoperative recovery quality,and to establish the predictive model.Methods Clinical data of patients who underwent cardiac great vascularsur-gery from March 2020 to September 2022 were collected through electronic medical record system and the postoperative QoR-15 score were evaluated.The data including gender,age,postoperative follow-up time,American Society of Anesthesiologists(ASA)classification,preoperative lactate level,co-morbidities,emergency or not,extracorporeal circulation or not,etc.were collected.The modified frailty index(mFI)was also calculated.Surgical patterns,operation time,extracorporeal circulation time,aortic block time,type of heart recurrence,perioperative fluid therapy,extracorporeal circulation temperature,and other postoperative data as well as postoperative data including ICU retention time after surgery,total length of stay and QoR-15 score were recorded.The univariate and multivariate Logistic regression analysis were then applied to construct a prediction model,and its accuracy was validated.Results A total of 213 patients were included,in which 15 patients were excluded,and 198 postoperative QoR-15 score sheets were received.Gender,ASA classification,preoperative lac-tate level,postoperative follow-up time,and mFI were significant influencing factors on the quality of rehabilitation of patients undergoing cardiac or great vascular surgery.The prediction model of ln(p/1-p)=-5.571+0.862 × gender+3.844 × ASA classification+3.143 × preoperative lactate level+2.001 × postoperative follow-up time+3.712 × mFI,which had good predictive and classifi-cation effects.Conclusion Gender,ASA classification,preoperative lactate level,postoperative follow-up time and mFI are influencing factors on the recovery quality of patients after cardiac great vascular surgery.
3.Influencing factors of the quality of postoperative rehabilitation of patients after cardiac large vessels surgery and establishment of prediction model
Ning LI ; Shunping TIAN ; Bei MA ; Hu LI ; Shiyu GUAN ; Jianyou ZHANG ; Luo ZHANG ; Qiang WANG ; Zhuan ZHANG
Journal of Clinical Medicine in Practice 2023;27(23):47-53
Objective To evaluate the quality of postoperative recovery of patients undergoing cardiac great vessels surgery by 15-item Recovery Quality Score Scale(QoR-15),to retrospectively analyze the influence of perioperative multi-factors on postoperative recovery quality,and to establish the predictive model.Methods Clinical data of patients who underwent cardiac great vascularsur-gery from March 2020 to September 2022 were collected through electronic medical record system and the postoperative QoR-15 score were evaluated.The data including gender,age,postoperative follow-up time,American Society of Anesthesiologists(ASA)classification,preoperative lactate level,co-morbidities,emergency or not,extracorporeal circulation or not,etc.were collected.The modified frailty index(mFI)was also calculated.Surgical patterns,operation time,extracorporeal circulation time,aortic block time,type of heart recurrence,perioperative fluid therapy,extracorporeal circulation temperature,and other postoperative data as well as postoperative data including ICU retention time after surgery,total length of stay and QoR-15 score were recorded.The univariate and multivariate Logistic regression analysis were then applied to construct a prediction model,and its accuracy was validated.Results A total of 213 patients were included,in which 15 patients were excluded,and 198 postoperative QoR-15 score sheets were received.Gender,ASA classification,preoperative lac-tate level,postoperative follow-up time,and mFI were significant influencing factors on the quality of rehabilitation of patients undergoing cardiac or great vascular surgery.The prediction model of ln(p/1-p)=-5.571+0.862 × gender+3.844 × ASA classification+3.143 × preoperative lactate level+2.001 × postoperative follow-up time+3.712 × mFI,which had good predictive and classifi-cation effects.Conclusion Gender,ASA classification,preoperative lactate level,postoperative follow-up time and mFI are influencing factors on the recovery quality of patients after cardiac great vascular surgery.