1.Laparoscopic resection of hemangiomas in the right posterior hepatic section without any blood flow occlusion: a study on 28 patients
Jianchu WANG ; Tianwei YAO ; Zongjiang LUO ; Ying ZHANG ; Wei WANG ; Pengyu CHEN ; Libai LU ; Yuan LU ; Wenchuan LI ; Jian PU
Chinese Journal of Hepatobiliary Surgery 2019;25(6):415-417
Objective To study the safety and efficacy of laparoscopic resection of hemangioma in the right posterior hepatic section without any blood flow occlusion.Methods Patients with hemangiomas in the right posterior section of liver operated from January 2016 to June 2018 in the Affiliated Hospital of Youjiang Medical College for Nationalities were studied retrospectively.There were 19 females and 9 males.The average age was (37.9 ± 6.1).The operation methods,perioperative factors,hospitalization cost and follow-up outcomes were recorded and analyzed.Results 28 patients with hemangiomas were treated with laparoscopic resection of right posterior hepatic section without any blood flow occlusion.An ultrasound scalpel was applied to split the liver in 27 patients,and ultrasound scalpel combined with Ligasure to split the liver in 1 patient.The mean diameter of the hepatic hemangiomas was (6.7 ± 1.3) cm.The intraoperative blood loss was (330.4 ± 139.0) ml and the operation time was (87.4 ±27.9) min.One patient required conversion to open surgery due to rupture and bleeding of the hemangioma.The conversion rate was 3.6% (1/28).The postoperative drainage time was (45.4 ± 18.9) h.The postoperative hospitalization time was (7.5 ± 1.3) d,and the hospitalization cost was (3.1 ± 0.5) ten thousand yuan.No death or serious complications occurred.No reoperation was needed.The follow-up period ranged from 1 to 30 months,and all the patients were well on follow-up.Conclusions Laparoscopic resection of hemangioma in the right posterior hepatic section without any blood flow occlusion was safe and efficacious.This method can be used for hemangiomas in the right posterior section of liver.
2.Risk factors of postoperative mortality of femoral neck fractures in elderly patients and construction of a nomogram predictive model
Zhipeng LI ; Dawei HUAN ; Zhaofeng YUAN ; Yue QIU ; Chao ZHANG ; Tianwei XIA ; Jirong SHEN
Chinese Journal of Tissue Engineering Research 2024;28(21):3361-3366
BACKGROUND:With a gradually aging population,improving the ability to screen for the risk of death after arthroplasty and implementing timely personalized intervention programs for the increasing number of elderly patients with femoral neck fractures is key to improving the postoperative status of patients and prolonging survival expectations. OBJECTIVE:To investigate the risk factors for postoperative mortality in elderly patients with femoral neck fractures and to construct a nomogram predictive model to predict their mortality risk. METHODS:The study was conducted on 155 elderly patients(≥65 years old)who underwent arthroplasty for femoral neck fracture from January 2016 to January 2021,and 147 patients who met the inclusion criteria were analyzed to collect clinical data that may affect the patients'postoperative mortality.Single-factor and multi-factor Cox regression analyses were successively used to screen independent risk factors associated with postoperative mortality.The column line graph model was constructed and validated using Rstudio software. RESULTS AND CONCLUSION:(1)Age,frailty(age-adjusted Charlson comorbidities score),preoperative activity status,osteoporosis,and postoperative serum albumin level were five independent risk factors for postoperative mortality in elderly patients with femoral neck fractures(P<0.05).(2)The nomogram predictive model was constructed based on the results of multifactorial analysis,with a consistency index of 0.819(95%CI:0.771-0.868).Receiver operating characteristic curve analysis showed that the area under curve for 1-year and 3-year survival prediction was 0.8543 and 0.7263,respectively,indicating that the nomogram predictive model has good discriminatory and predictive power;calibration curve and decision curve analysis also showed good model discriminative power and clinical utility value.(3)The constructed nomogram predictive model has good diagnostic efficacy and accuracy,and can effectively assess the risk of postoperative death of patients.
3.Mid-and long-term state after total hip arthroplasty versus hemiarthroplasty for femoral neck fractures in the elderly:evaluation using propensity score matching method
Zhipeng LI ; Dawei HUAN ; Zhaofeng YUAN ; Kai DING ; Yue QIU ; Tianwei XIA ; Jirong SHEN
Chinese Journal of Tissue Engineering Research 2024;28(24):3839-3844
BACKGROUND:Arthroplasty is the primary treatment for displaced femoral neck fractures in the elderly,and the choice of total hip arthroplasty versus hemiarthroplasty is currently the subject of considerable debate. OBJECTIVE:To compare the mid-and long-term survival status of total hip arthroplasty versus hemiarthroplasty under a direct anterior approach for displaced femoral neck fractures in the elderly based on the propensity score matching method. METHODS:One hundred and forty-seven elderly patients(≥65 years of age)with displaced femoral neck fractures were admitted from January 2016 to January 2021,of whom 88 had total hip arthroplasty(total hip arthroplasty group)and 59 had artificial femoral head replacement(hemiarthroplasty group).For the patients'preoperative comorbidities,the age-corrected Charlson Comorbidity Scale was used to quantify the scores and calculate patient frailty.The propensity score matching method was used to match the two groups 1:1 and to compare the operation time,bleeding,postoperative hospitalization time,hospitalization cost,nutritional index,postoperative complications,and mortality between the two groups after matching.Postoperative survival time was determined by Kaplan-Meier Survival analysis. RESULTS AND CONCLUSION:(1)After propensity score matching,a total of 42 matched pairs were successful in both groups,and the preoperative data of patients in both groups were balanced and comparable after matching(P>0.05).(2)Compared with the hemiarthroplasty group,operation time(79.71 minutes vs.59.07 minutes,P<0.001),bleeding volume(839.64 mL vs.597.83 mL,P=0.001),and hospitalization cost(56 508.15 yuan vs.41 702.85 yuan,P<0.001)were significantly higher in the total hip arthroplasty group.However,the mortality rate was lower in the total hip arthroplasty group than in the hemiarthroplasty group(36%vs.57%,HR=0.44,95%CI:0.23-0.87,P=0.018),and the mean survival time was longer in the total hip arthroplasty group than in the hemiarthroplasty group(59.4 months vs.43.7 months,P=0.024).(3)There were no statistically significant differences in postoperative hospitalization time,preoperative and postoperative nutritional indicators,and overall postoperative complication rate between the two groups(P>0.05).However,in terms of postoperative pain,the incidence of pain was significantly higher in the hemiarthroplasty group than that in the total hip arthroplasty group(24%vs.7%,P=0.035).(4)Overall,total hip arthroplasty has a better prognosis for survival,while hemiarthroplasty is more appropriate for patients with poor physical fitness.At the same time,postoperative pain may largely affect the quality and survival time of patients after hip arthroplasty.
4.The research status and development trends of brain-computer interfaces in medicine.
Qi CHEN ; Tianwei YUAN ; Liwen ZHANG ; Jin GONG ; Lu FU ; Xue HAN ; Meihua RUAN ; Zhenhang YU
Journal of Biomedical Engineering 2023;40(3):566-572
Brain-computer interfaces (BCIs) have become one of the cutting-edge technologies in the world, and have been mainly applicated in medicine. In this article, we sorted out the development history and important scenarios of BCIs in medical application, analyzed the research progress, technology development, clinical transformation and product market through qualitative and quantitative analysis, and looked forward to the future trends. The results showed that the research hotspots included the processing and interpretation of electroencephalogram (EEG) signals, the development and application of machine learning algorithms, and the detection and treatment of neurological diseases. The technological key points included hardware development such as new electrodes, software development such as algorithms for EEG signal processing, and various medical applications such as rehabilitation and training in stroke patients. Currently, several invasive and non-invasive BCIs are in research. The R&D level of BCIs in China and the United State is leading the world, and have approved a number of non-invasive BCIs. In the future, BCIs will be applied to a wider range of medical fields. Related products will develop shift from a single mode to a combined mode. EEG signal acquisition devices will be miniaturized and wireless. The information flow and interaction between brain and machine will give birth to brain-machine fusion intelligence. Last but not least, the safety and ethical issues of BCIs will be taken seriously, and the relevant regulations and standards will be further improved.
Humans
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Brain-Computer Interfaces
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Medicine
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Algorithms
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Artificial Intelligence
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Brain