Development and validation of a machine learning-based early prediction model for massive intraoperative bleeding in patients with primary hepatic malignancies

BACKGROUND Surgical resection remains the primary treatment for hepatic malignancies,and intraoperative bleeding is associated with a significantly increased risk of death.Therefore,accurate prediction of intraoperative bleeding risk in patients with hepatic malignancies is essential to preventing bleeding in advance and providing safer and more effective treatment.AIM To develop a predictive model for intraoperative bleeding in primary hepatic malignancy patients for improving surgical planning and outcomes.METHODS The retrospective analysis enrolled patients diagnosed with primary hepatic malignancies who underwent surgery at the Hepatobiliary Surgery Department of the Fourth Hospital of Hebei Medical University between 2010 and 2020.Logistic regression analysis was performed to identify potential risk factors for intraoperative bleeding.A prediction model was developed using Python programming language,and its accuracy was evaluated using receiver operating characteristic(ROC)curve analysis.RESULTS Among 406 primary liver cancer patients,16.0%(65/406)suffered massive intraoperative bleeding.Logistic regression analysis identified four variables as associated with intraoperative bleeding in these patients:ascites[odds ratio(OR):22.839;P<0.05],history of alcohol consumption(OR:2.950;P<0.015),TNM staging(OR:2.441;P<0.001),and albumin-bilirubin score(OR:2.361;P<0.001).These variables were used to construct the prediction model.The 406 patients were randomly assigned to a training set(70%)and a prediction set(30%).The area under the ROC curve values for the model’s ability to predict intraoperative bleeding were 0.844 in the training set and 0.80 in the prediction set.CONCLUSION The developed and validated model predicts significant intraoperative blood loss in primary hepatic malignancies using four preoperative clinical factors by considering four preoperative clinical factors:ascites,history of alcohol consumption,TNM staging,and albumin-bilirubin score.Consequently,this model holds promise for enhancing individualised surgical planning.

Will partial splenic embolization followed by splenectomy increase intraoperative bleeding?

BACKGROUND Partial splenic embolization(PSE)has been suggested as an alternative to splenectomy in the treatment of hypersplenism.However,some patients may experience recurrence of hypersplenism after PSE and require splenectomy.Currently,there is a lack of evidence-based medical support regarding whether preoperative PSE followed by splenectomy can reduce the incidence of complications.AIM To investigate the safety and therapeutic efficacy of preoperative PSE followed by splenectomy in patients with cirrhosis and hypersplenism.METHODS Between January 2010 and December 2021,321 consecutive patients with cirrhosis and hypersplenism underwent splenectomy at our department.Based on whether PSE was performed prior to splenectomy,the patients were divided into two groups:PSE group(n=40)and non-PSE group(n=281).Patient characteristics,postoperative complications,and follow-up data were compared between groups.Propensity score matching(PSM)was conducted,and univariable and multivariable analyses were used to establish a nomogram predictive model for intraoperative bleeding(IB).The receiver operating characteristic curve,Hosmer-Lemeshow goodness-of-fit test,and decision curve analysis(DCA)were employed to evaluate the differentiation,calibration,and clinical performance of the model.RESULTS After PSM,the non-PSE group showed significant reductions in hospital stay,intraoperative blood loss,and operation time(all P=0.00).Multivariate analysis revealed that spleen length,portal vein diameter,splenic vein diameter,and history of PSE were independent predictive factors for IB.A nomogram predictive model of IB was constructed,and DCA demonstrated the clinical utility of this model.Both groups exhibited similar results in terms of overall survival during the follow-up period.CONCLUSION Preoperative PSE followed by splenectomy may increase the incidence of IB and a nomogram-based prediction model can predict the occurrence of IB.

Analysis of the Effects of Local Injection of Epinephrine and Lidocaine on Postoperative Pain and Bleeding in Children Undergoing Tonsillectomy

Objective:To explore the effects of local injection of epinephrine and lidocaine on postoperative pain and bleeding in children undergoing tonsillectomy.Methods:Sixty-eight children who underwent a tonsillectomy in our hospital from March 2019 to October 2020 were selected.The children were randomly divided into two groups of 34 cases each.The observation group received local anesthetic injections of lidocaine and the control group received local anesthetic injections of epinephrine.The postoperative pain,operation time,blood pressure changes,and intraoperative blood loss of the two groups of children were observed and analyzed.Results:The postoperative pain,operation time,and intraoperative blood loss scores of the children in the observation group were 4.36±0.69,0.36±0.09,and 39.36±1.78 respectively,which were significantly better than those of the children in the control group(P<0.05)at 5.36±0.77,0.79±0.05,and 45.36±1.56,respectively.The systolic blood pressure and diastolic blood pressure of the observation group 3 minutes before surgery and 180 minutes after surgery were no different from those of the control group(P>0.05).Conclusion:Local injection of epinephrine and lidocaine effectively relieved postoperative pain and reduced bleeding in children undergoing tonsillectomy as compared to epinephrine alone.

Laparoscopic vs open surgery for gastric cancer: Assessing time, recovery, complications, and markers

BACKGROUND Gastric cancer(GC)is one of the most common cancers worldwide.Morbidity and mortality have increased in recent years,making it an urgent issue to address.La-paroscopic radical surgery(LRS)is a crucial method for treating patients with GC;However,its influence on tumor markers is still under investigation.The data of 194 patients treated at Chongqing University Cancer Hospital bet-ween January 2018 and January 2019 were retrospectively analyzed.Patients who underwent traditional open surgery and LRS were assigned to the control(n=90)and observation groups(n=104),respectively.Independent sample t-tests andχ2 tests were used to compare the two groups based on clinical efficacy,changes in tumor marker levels after treatment,clinical data,and the incidence of posto-perative complications.To investigate the association between tumor marker levels and clinical efficacy in patients with GC,three-year recurrence rates in the two groups were compared.RESULTS Patients in the observation group had a shorter duration of operation,less in-traoperative blood loss,an earlier postoperative eating time,and a shorter hospital stay than those in the control group(P<0.05).No significant difference was observed between the two groups regarding the number of lymph node dissections(P>0.05).After treatment,the overall response rate in the control group was significantly lower than that in the observation group(P=0.001).Furthermore,after treatment,the levels of carbohydrate antigen 19-9,cancer antigen 72-4,carcinoembryonic antigen,and cancer antigen 125 decreased significantly.The observation group also exhibited a significantly lower incidence rate of postoperative complications compared to the control group(P<0.001).Additionally,the two groups did not significantly differ in terms of three-year survival and recurrence rates(P>0.05).CONCLUSION LRS effectively treats early gastric cancer by reducing intraoperative bleeding,length of hospital stays,and postoperative complications.It also significantly lowers tumor marker levels,thus improving the short-term prognosis of the disease.