Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Objective:To investigate the clinical experience and efficacy of unrelated umbilical cord blood hematopoietic stem cell transplantation (HSCT) for the treatment of congenital amegakaryocytic thrombocytopenia (CAMT).Methods:A case summary was conducted.The clinical data of 2 children with CAMT who were finally cured by unrelated umbilical cord blood HSCT in the Department of Pediatric Medicine, the First Affiliated Hospital of Zhengzhou University from March 2020 to August 2023 were retrospectively analyzed.Related studies were retrieved from databases CNKI, Wanfang and PubMed using search terms including " congenital amegakaryocytic thrombocytopenia" and " hematopoietic stem cell transplantation" from the inception to July 2024.The clinical characteristics, diagnosis and treatment processes, and prognosis of CAMT patients treated by HSCT were then summarized.Results:Both cases exhibited scattered skin haemorrhages throughout the body and carried 2 compound heterozygous mutations with pathogenicity in the MPL gene.Both patients were finally diagnosed with CAMT.Case 1 was a girl aged 3 at the time of transplantation, and case 2 was also a girl, who aged 5 at the time of transplantation.Both of them received unrelated umbilical cord blood HSCT and hematopoietic reconstruction was achieved.The time of neutrophil and platelet implantation was 21 and 40 days after transplantation in case 1, and 20 and 31 days in case 2, respectively.The chimerism rate of neutrophil implantation in both children was complete chimerism of donor cells.Implantation syndrome was detected in case 1 following transplantation.Case 2 suffered implantation syndrome, hypertensive encephalopathy, and cytomegalovirus infection following transplantation.Both children showed no graft-versus-host disease (GVHD).Both children had hematopoietic and immune reconstruction after transplantation and their primary diseases were cured.Cases 1 and 2 were followed up for more than 14 and 17 months, respectively.Both of them achieved disease-free survival during the follow up.Literature review of 26 cases with CAMT treated by HSCT, including the above-mentioned 2 cases was conducted, with an overall disease-free survival rate of 92.3%(24/26).Of 12 cases with CAMT typing, 10 were type Ⅰ and 2 were type Ⅱ.Of the 26 cases treated by HSCT, 17 had bone marrow HSCT, with an overall survival rate of 88.2%(15/17), and 2 had peripheral blood HSCT.Seven cases had umbilical cord blood HSCT (6 cases receiving unrelated umbilical cord blood HSCT and 1 case receiving related umbilical cord blood HSCT), with an overall survival rate of 100%.Unlike bone marrow and peripheral blood HSCT, unrelated umbilical cord blood HSCT did not result in 3-4 grade GVHD. Conclusions:Unrelated umbilical cord blood HSCT can achieve good therapeutic effects in CAMT patients when there is no suitable donor.Myeloablative pretreatment is conducive to CAMT patients.

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Electroencephalography (EEG) is a powerful tool for investigating brain electrophysiology with high temporal resolution. In recent years, advancements in EEG signal analyses have expanded our research capabilities. Among these, microstate analysis has emerged as a promising approach, providing insights into the topographical distribution of EEG signals and capturing millisecond-scale brain network dynamics. This technique offers a window into the intrinsic activity of large-scale neural networks. A hallmark of disorders of consciousness (DoC) is the disruption of brain activity dynamics. Research shows that EEG microstate analysis can deeply assess the consciousness level and neural mechanism during recovery process in DoC patients, demonstrating significant value in diagnosis and prognosis evaluation of DoC. This article reviews the principles and parameters of microstate analysis, the correlation between microstates and brain networks, and the parameter changes under different states of consciousness, and explores its application value in the diagnosis, classification and prognosis assessment of DoC, with the aim of providing new ideas for DoC precise diagnosis and treatment.

Objective:To investigate the clinical experience and efficacy of unrelated umbilical cord blood hematopoietic stem cell transplantation (HSCT) for the treatment of congenital amegakaryocytic thrombocytopenia (CAMT).Methods:A case summary was conducted.The clinical data of 2 children with CAMT who were finally cured by unrelated umbilical cord blood HSCT in the Department of Pediatric Medicine, the First Affiliated Hospital of Zhengzhou University from March 2020 to August 2023 were retrospectively analyzed.Related studies were retrieved from databases CNKI, Wanfang and PubMed using search terms including " congenital amegakaryocytic thrombocytopenia" and " hematopoietic stem cell transplantation" from the inception to July 2024.The clinical characteristics, diagnosis and treatment processes, and prognosis of CAMT patients treated by HSCT were then summarized.Results:Both cases exhibited scattered skin haemorrhages throughout the body and carried 2 compound heterozygous mutations with pathogenicity in the MPL gene.Both patients were finally diagnosed with CAMT.Case 1 was a girl aged 3 at the time of transplantation, and case 2 was also a girl, who aged 5 at the time of transplantation.Both of them received unrelated umbilical cord blood HSCT and hematopoietic reconstruction was achieved.The time of neutrophil and platelet implantation was 21 and 40 days after transplantation in case 1, and 20 and 31 days in case 2, respectively.The chimerism rate of neutrophil implantation in both children was complete chimerism of donor cells.Implantation syndrome was detected in case 1 following transplantation.Case 2 suffered implantation syndrome, hypertensive encephalopathy, and cytomegalovirus infection following transplantation.Both children showed no graft-versus-host disease (GVHD).Both children had hematopoietic and immune reconstruction after transplantation and their primary diseases were cured.Cases 1 and 2 were followed up for more than 14 and 17 months, respectively.Both of them achieved disease-free survival during the follow up.Literature review of 26 cases with CAMT treated by HSCT, including the above-mentioned 2 cases was conducted, with an overall disease-free survival rate of 92.3%(24/26).Of 12 cases with CAMT typing, 10 were type Ⅰ and 2 were type Ⅱ.Of the 26 cases treated by HSCT, 17 had bone marrow HSCT, with an overall survival rate of 88.2%(15/17), and 2 had peripheral blood HSCT.Seven cases had umbilical cord blood HSCT (6 cases receiving unrelated umbilical cord blood HSCT and 1 case receiving related umbilical cord blood HSCT), with an overall survival rate of 100%.Unlike bone marrow and peripheral blood HSCT, unrelated umbilical cord blood HSCT did not result in 3-4 grade GVHD. Conclusions:Unrelated umbilical cord blood HSCT can achieve good therapeutic effects in CAMT patients when there is no suitable donor.Myeloablative pretreatment is conducive to CAMT patients.

Electroencephalography (EEG) is a powerful tool for investigating brain electrophysiology with high temporal resolution. In recent years, advancements in EEG signal analyses have expanded our research capabilities. Among these, microstate analysis has emerged as a promising approach, providing insights into the topographical distribution of EEG signals and capturing millisecond-scale brain network dynamics. This technique offers a window into the intrinsic activity of large-scale neural networks. A hallmark of disorders of consciousness (DoC) is the disruption of brain activity dynamics. Research shows that EEG microstate analysis can deeply assess the consciousness level and neural mechanism during recovery process in DoC patients, demonstrating significant value in diagnosis and prognosis evaluation of DoC. This article reviews the principles and parameters of microstate analysis, the correlation between microstates and brain networks, and the parameter changes under different states of consciousness, and explores its application value in the diagnosis, classification and prognosis assessment of DoC, with the aim of providing new ideas for DoC precise diagnosis and treatment.

Objective To establish the energy expenditure(EE)prediction models of health Qigong Wuqinxi based on heart rate combined with accelerometer counts in different body parts,so to provide a reference for monitoring EE of Wuqinxi.Methods Seventy-four healthy college students aged 18-30 were selected as the research objects.They were divided into a skilled group of 39(21 males and 18 females)and a primary group of 35(17 males and 18 females)according to their level of practice,with 55 in the model group and 19 in the validation group.When performing a set of Wuqinxi,all subjects were recorded heart rate(HR),accelerometer counts[the average counts of X-axis,Y-axis,Z-axis and vector magnitude(VM)],and EE-related indicators by wearing the Polar heart rate moni-tor,ActiGraph-GT3X+accelerometers(9 parts:waist,both arms,both wrists,both thighs,and both ankles)and CORTEX Meta Max3B-R2 portable indirect calorimeter.Based on the accurate EE mea-sured by the gas metabolism meter,linear regression models of only HR,only accelerometer counts,or HR combined accelerometer counts were established,and their accuracy was analyzed and com-pared.Results The EE of Wuqinxi was significantly correlated with gender,height,weight,muscle mass,HR-related indicators,and accelerometer counts in different parts(X-axis counts of the waist,VM values of the left thigh and counts of the X-axis and Y-axis,VM values of the right thigh and the Y-axis,Z-axis count value,left ankle VM value and Y-axis count value,right ankle VM value and Y-axis,Z-axis count value)(P<0.05).Moreover,the adjusted R2 of the prediction model of only HR,only accelerometer counts,and the both were 0.582,0.508 and 0.678,respectively(P<0.05).The correlation between the predicted and measured values ranged between 0.706 and 0.817.Accord-ing to the Bland-Altman analysis,for each model,all except one error value fell outside the 95%confidence interval.That is,all models had an excellent fitting effect and high accuracy.Among them,the combined model was of the best prediction effect:EE(kcal)=-20.089+0.279×body weight(kg)+0.243×ΔHR(exercise HR-quiet HR,bpm)+0.001×Right thigh Y-axis count value+0.181×exer-cise HR(bpm)-4.202×gender(male=0,female=1).Conclusion The EE prediction model of Wuqinxi es-tablished on HR combined with accelerometer counts has the best effect and can calculate the EE more accurately.

Objective To investigate the current situation of long-term care needs of the elderly with home-based disabil-ity in Beiliu City,and provide data support for the development of Internet plus care services in Beiliu City.Methods A ques-tionnaire survey method was used to design and distribute a survey questionnaire titled"Survey Questionnaire on Home Care Serv-ice Needs of Disabled Elderly People",to investigate the nursing service methods and home care needs of disabled elderly people in Beiliu City.Results Disabled elderly people mainly choose home-based nursing services,with a high demand for basic care,comfortable care,rehabilitation care,psychological care,and other aspects.Conclusion Home care is of great significance for improving the quality of life of disabled elderly people,and requires policy support such as medical insurance to promote the sup-ply of nursing services and meet the care needs of disabled elderly people.

Objective To investigate the causes of abnormal decrease in maximum amplitude(MA)of thromboelastog-raphy(TEG)and its effect on prognosis by monitoring the changes of coagulation-related indexes in emergency trauma pa-tients.Methods A total of 319 cases of trauma patients admitted to our hospital from September 2020 to September 2023 were retrospectively analyzed,and the coagulation-related indexes of 0 h and 24 h after admission were observed.According to the MA results,they were divided into normal MA group(>50 mm)and reduced MA group(≤50 mm)to compare the hemoglobin(Hb),platelets count(Plt),activated partial thromboplastin time(APTT),prothrombin time(PT),fibrinogen(Fib),thrombin time(TT),D-dimer(D-D),coagulation reaction time(R),clot formation kinetics(Angle),30 min clot dissolution rate(Ly30),MA,thrombine-antithrombin complex(TAT)and plasminase-α2 plasminase inhibitor complex(PIC).The correlation between MA and fibrinolysis indexes in 319 trauma patients was analyzed.According to whether tranexamic acid(TXA)was used,the reduced MA group was divided into a TXA group and a non-drug group.The differ-ences in the change of the above coagulation-related indexes,mortality rate and changes in blood product dosage were com-pared between the two groups.Results Compared with the normal MA group,Hb,Plt,Fib,diastolic blood pressure and GCS scores decreased,while heart rate,ISS score and mortality increased significantly in the reduced MA group(P<0.05).The R,PT and TT were prolonged significantly(P<0.05),and PIC and D-D increased significantly(P<0.05)in the re-duced MA group.Correlation analysis found that MA had no correlation with Ly30,TAT and APTT,but was correlated with Angle(r=0.803),Plt(r=0.544),Fib(r=0.581),PIC(r=-0.443)and D-D(r=-0.343).Compared with the non-drug group,the change of Angle,MA and FIB in the TXA group increased significantly(P<0.05),while the change of PIC de-creased(P<0.05).Cryoprecipitate and platelet transfusion in the TXA group reduced significantly(P<0.05),and red blood cell transfusion had a decreasing trend,but the difference was not significant(P>0.05).The mortality rate in the TXA group was reduced significantly(P<0.05).Conclusion Hyperfibrinolysis may be an important factor in the abnormal decrease of MA in emergency trauma patients.Treatment with TXA can improve its effect on MA,and reduce the transfusion of blood products and the patient mortality.