Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective To understand the economic losses due to healthcare-associated infection(HAI)in patients after Da Vinci robotic thoracic surgery,and provide basis for preventing and controlling HAI after robotic surgery.Methods Patients who underwent Da Vinci robotic surgery from April 2019 to April 2023 were retrospective stu-died.Patients were divided into HAI group and non-HAI group based on the occurrence of postoperative infection.Through 1∶1 propensity score matching(PSM),31 cases were included in each group,economic losses of two groups of patients were compared.Results A total of 921 patients who underwent Da Vinci robotic thoracic surgery were included in the study,51 cases with HAI(HAI group)and 870 without HAI(non-HAI group).After 1∶1 PSM,31 cases were included in each group.Four covariates were compared between two groups of patients before PSM,namely gender,age,comorbidities,and the American Society of Anesthesiologists(ASA)grading,all with statistically significant differences(all P＜0.05).After PSM,distribution of the above covariates reached equilib-rium between the two groups(both P＞0.05).The median total expense for HAI group before PSM during hospi-talization was 88 711.72 Yuan,while 78 509.46 Yuan for the non-HAI group.The direct economic losses caused by HAI after Da Vinci robot surgery was 10 202.26 Yuan,mainly increased by expense of medicine,nursing,laborato-ry diagnosis,etc.Difference in western medicine expense was the highest(8 839.12 Yuan),out of which expense of antimicrobial agents accounted for the highest proportion(73.55％).Difference in daily hospitalization expense between HAI-group and non-HAI group was 502.38 Yuan.Length of hospital stay of patients in HAI group and non-HAI group were(21.59±10.62)and(13.92±9.21)days,respectively,with statistical differences(all P＜0.05).Conclusion The occurrence of HAI in patients undergoing Da Vinci robotic thoracic surgery leads to direct economic losses,with obvious increases in expenses of nursing,laboratory diagnosis,western medicine(mainly an-timicrobial agents).Length of hospital stay of patients also prolongs.

OBJECTIVE To observe the isolation rates and drug resistance rates of Acinetobacter baumannii strains isolated from intensive care unit(ICU)patients in 8 consecutive years so as to provide bases for reasonable clinical application of antibiotics and control of infections.METHODS The isolation rates and specimens from which the A.baumannii and carbapenem-resistant A.baumannii(CRAB)strains were isolated from ICU patients of the First People's Hospital of Changzhou between 2017 and 2024 were retrospectively analyzed.The trends of the drug resistance rates were observed.RESULTS Totally 2078(18.03％)strains of A.baumannii were isolated from the ICU patients from 2017 to 2024,and there was no significant difference in the changing trend among the years(x2=-1.573,P=0.116).Among the A.baumannii strains that were isolated from 2017 to 2024,58.08％were isolated from sputum,and 24.25％from lavage fluid specimens;the percentage of sputum specimens showed a downward trend in the 8 years(x2=-8.257,P＜0.001),while the percentage of lavage fluid speci-mens showed an upward trend(x2=12.964,P＜0.001).The isolation rate of the CRAB strains was 91.48％in 2017,92.61％in 2018,92.56％in 2019,82.53％in 2020,52.44％in 2021,showing a down-ward trend,and it began to rise in 2022-2024,there was significant difference(x2=-2.277,P=0.012).The isolation rates of the CRAB strains from both sputum and lavage fluid specimens showed downward trends and then upward trends(all P＜0.05).The drug resistance rates of the A.baumannii strains to piperacillin and minocycline showed slow upward trends,while the drug resistance rates to gentamicin and tigecycline showed downward trends,and there were significant differences(P＜0.05).The drug resistance rates of the A.bau-mannii strains to imipenem and meropenem remained more than 90％.CONCLUSIONS Acinetobacter spp is the major pathogen causing the hospital-acquired infection.The isolation rate of CRAB strains shows a downward trend then a upward trend in recent two years.It is necessary for the hospital to standardize the submission of spu-tum specimens and increase the aseptic submission.The A.baumannii strains show high drug resistance rates to the commonly used antibiotics.Polymyxin B,tigecycline and minocycline are the major antibiotics for treatment of CRAB infection.

OBJECTIVE To observe the isolation rates and drug resistance rates of Acinetobacter baumannii strains isolated from intensive care unit(ICU)patients in 8 consecutive years so as to provide bases for reasonable clinical application of antibiotics and control of infections.METHODS The isolation rates and specimens from which the A.baumannii and carbapenem-resistant A.baumannii(CRAB)strains were isolated from ICU patients of the First People's Hospital of Changzhou between 2017 and 2024 were retrospectively analyzed.The trends of the drug resistance rates were observed.RESULTS Totally 2078(18.03％)strains of A.baumannii were isolated from the ICU patients from 2017 to 2024,and there was no significant difference in the changing trend among the years(x2=-1.573,P=0.116).Among the A.baumannii strains that were isolated from 2017 to 2024,58.08％were isolated from sputum,and 24.25％from lavage fluid specimens;the percentage of sputum specimens showed a downward trend in the 8 years(x2=-8.257,P＜0.001),while the percentage of lavage fluid speci-mens showed an upward trend(x2=12.964,P＜0.001).The isolation rate of the CRAB strains was 91.48％in 2017,92.61％in 2018,92.56％in 2019,82.53％in 2020,52.44％in 2021,showing a down-ward trend,and it began to rise in 2022-2024,there was significant difference(x2=-2.277,P=0.012).The isolation rates of the CRAB strains from both sputum and lavage fluid specimens showed downward trends and then upward trends(all P＜0.05).The drug resistance rates of the A.baumannii strains to piperacillin and minocycline showed slow upward trends,while the drug resistance rates to gentamicin and tigecycline showed downward trends,and there were significant differences(P＜0.05).The drug resistance rates of the A.bau-mannii strains to imipenem and meropenem remained more than 90％.CONCLUSIONS Acinetobacter spp is the major pathogen causing the hospital-acquired infection.The isolation rate of CRAB strains shows a downward trend then a upward trend in recent two years.It is necessary for the hospital to standardize the submission of spu-tum specimens and increase the aseptic submission.The A.baumannii strains show high drug resistance rates to the commonly used antibiotics.Polymyxin B,tigecycline and minocycline are the major antibiotics for treatment of CRAB infection.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective To understand the economic losses due to healthcare-associated infection(HAI)in patients after Da Vinci robotic thoracic surgery,and provide basis for preventing and controlling HAI after robotic surgery.Methods Patients who underwent Da Vinci robotic surgery from April 2019 to April 2023 were retrospective stu-died.Patients were divided into HAI group and non-HAI group based on the occurrence of postoperative infection.Through 1∶1 propensity score matching(PSM),31 cases were included in each group,economic losses of two groups of patients were compared.Results A total of 921 patients who underwent Da Vinci robotic thoracic surgery were included in the study,51 cases with HAI(HAI group)and 870 without HAI(non-HAI group).After 1∶1 PSM,31 cases were included in each group.Four covariates were compared between two groups of patients before PSM,namely gender,age,comorbidities,and the American Society of Anesthesiologists(ASA)grading,all with statistically significant differences(all P＜0.05).After PSM,distribution of the above covariates reached equilib-rium between the two groups(both P＞0.05).The median total expense for HAI group before PSM during hospi-talization was 88 711.72 Yuan,while 78 509.46 Yuan for the non-HAI group.The direct economic losses caused by HAI after Da Vinci robot surgery was 10 202.26 Yuan,mainly increased by expense of medicine,nursing,laborato-ry diagnosis,etc.Difference in western medicine expense was the highest(8 839.12 Yuan),out of which expense of antimicrobial agents accounted for the highest proportion(73.55％).Difference in daily hospitalization expense between HAI-group and non-HAI group was 502.38 Yuan.Length of hospital stay of patients in HAI group and non-HAI group were(21.59±10.62)and(13.92±9.21)days,respectively,with statistical differences(all P＜0.05).Conclusion The occurrence of HAI in patients undergoing Da Vinci robotic thoracic surgery leads to direct economic losses,with obvious increases in expenses of nursing,laboratory diagnosis,western medicine(mainly an-timicrobial agents).Length of hospital stay of patients also prolongs.

Objective:To investigate the clinical characteristics, diagnosis, treatment, and prognosis of primary thyroid lymphoma (PTL) .Methods:A retrospective analysis was conducted on the clinical and pathological data of 34 newly diagnosed PTL patients admitted to Beijing Tongren Hospital from September 2010 to February 2023. The Kaplan-Meier survival curve and Log-rank test were used for survival analysis, and the Cox regression model was applied for univariate analysis of prognostic factors.Results:All 34 PTL patients presented with cervical mass as the initial clinical manifestation. There were 9 males and 25 females. The pathological diagnosis was diffuse large B-cell lymphoma (DLBCL) in 29 patients and mucosa-associated lymphoid tissue (MALT) lymphoma in 5 patients. Among the DLBCL patients, 6 had B symptoms, 17 had an Eastern Cooperative Oncology Group (ECOG) score of ≥2, the Ann Arbor staging was stage Ⅰ-Ⅱ in 21 cases and stage Ⅲ-Ⅳ in 8 cases, the tumor diameter was ≥10 cm in 4 cases, and 14 had concurrent Hashimoto thyroiditis; 27 cases received chemotherapy, with 21 cases achieving complete remission (CR), 2 cases partial remission (PR), and 6 cases of disease progression; the 5-year progression-free survival and overall survival rates were 78.9% and 77.4%, respectively; univariate survival analysis showed that B symptoms, tumor diameter ≥10 cm, and Ann Arbor stage Ⅲ-Ⅳ were significant factors affecting patient prognosis ( P<0.05). MALT lymphoma patients were all in stages Ⅰ-Ⅱ, had an ECOG score of 0-1, and were without B symptoms. All patients underwent surgical resection, with 4 cases achieving CR and 1 case PR. Conclusion:PTL is more common in females with concurrent Hashimoto thyroiditis, with the majority of pathological types being B-cell lymphoma. The main treatment is chemotherapy, supplemented by radiotherapy and surgery, and the prognosis is relatively favorable.

Objective To evaluate the effect of parasternal intercostal plane block(PIB)on postopera-tive fatigue in elderly patients undergoing off-pump coronary artery bypass grafting(CABG).Methods A to-tal of 111 elderly patients undergoing elective off-pump CABG in Xuzhou Municipal Central Hospital from May 2021 to January 2023 were selected as the study subjects.The patients were divided into the control group(group C,n=55)and PIB group(group P,n=56)by adopting the random number table method.After induction of anesthesia,the patients in the group P received the ultrasound-guided bilateral PIB,and the group C received the equal volume of normal saline at the same site.The incidence rate of postoperative fatigue syn-drome(POFS)on postoperative 1,3,5,7 d and postoperative 8 weeks,NRS scores immediately after extuba-tion and at postoperative 12,24,48 h,postoperative opioid drugs consumption,ICU stay duration,hospitaliza-tion duration and adverse events occurrence were compared between the two groups.Results Compared with the group C,the incidence rates of POFS on postoperative 1,3,5,7 d and postoperative 8 weeks in the group P were significantly decreased,the NRS scores immediately after extubation and at postoperative 12,24 h in the group P were lower,the postoperative opioid drugs consumption were smaller,the ICU stay duration was shorter,and the differences were statistically significant(P＜0.05).The NRS score at postoperative 48 h and hospitalization duration had no statistical differences between the two groups(P＞0.05).No nerve block re-lated adverse events in the patients appeared during the study period.Conclusion The ultrasound guided PIB could effectively reduce the incidence rate of POFS in elderly patients undergoing off-pump CABG,promote the patients'prognosis and improve the recovery quality of the patients.

Objective To investigate the progress of two-dimensional echocardiographic parameters in patients with different severity of aortic stenosis.Methods A retrospective analysis was per-formed on 96 patients diagnosed with aortic stenosis with at least 2 times of transthoracic echo-cardiography(interval ≥1 year)in Department of Cardiology,Fourth Medical Center of Chinese PLA General Hospital from March 2017 to December 2023.According to aortic stenosis severity,they were divided into a mild group(72 cases),a moderate group(14 cases)and a severe group(10 cases).Peak pressure gradient(PPG)across aortic valve,Vmax,mean aortic valve pressure gradient(ΔPm),pulmonary artery systolic pressure(PASP)were collected,and the changes and annual progress of these echocardiographic parameters at baseline and before and after follow-up were analyzed.Results The values of IVST,LVPWT,Vmax,aortic valve PPG and ΔPm were sig-nificantly increased in the mild,moderate and severe stenosis groups in turn(P＜0.05,P＜0.01).The values of Vmax,PPG and ΔPm were significantly lower in the mild stenosis group than the moderate and severe stenosis groups,and the LVPWT value was obviously lower in the mild ste-nosis group than the severe stenosis group(P＜0.05).The aortic valve PPG and ΔPm values at follow-up were significantly higher than those before the follow-up in the three stenosis groups(P＜0.05,P＜0.01).After follow-up,the Vmax values in mild and moderate stenosis groups were notably higher than before(P＜0.01).The PASP value at follow-up was significantly higher than before in the severe stenosis group(P＜0.05).The annual progression rate of Vmax,PASP,LVEF were gradually increased in the mild,moderate,and severe stenosis groups(P＞0.05).The annual progression rate of ΔPm was gradually increased in the three groups in turn(2.30±1.77 mm Hg/year vs 2.40±1.18 mm Hg/year vs 6.08±1.70 mm Hg/year,P＜0.05).Conclusion As the severity of baseline aortic stenosis increases,obvious changes are observed in cardiac structure and function.Before and after follow-up,the serious the aortic stenosis severity is,the faster the annual progression rates of Vmax,PPG,LVEF and PASP are.

The biological samples of oral genetic diseases and rare diseases are extremely precious. Collecting and preserving these biological samples are helpful to elucidate the mechanisms and improve the level of diagnose and treatment of oral genetic diseases and rare diseases. The standardized construction of biobanks for oral genetic diseases and rare diseases is important for achieving these goals. At present, there is very little information on the construction of these biobanks, and the standards or suggestions for the classification and coding of biological samples from oral and maxillofacial sources, and this is not conducive to the standardization and information construction of biobanks for special oral diseases. This consensus summarizes the background, necessity, principles, and key points of constructing the biobank for oral genetic diseases and rare diseases. On the base of the group standard "Classification and Coding for Human Biomaterial" (GB/T 39768-2021) issued by the National Technical Committee for Standardization of Biological Samples, we suggest 76 new coding numbers for different of biological samples from oral and maxillofacial sources. We hope the consensus may promote the standardization, and smartization on the biobank construction as well as the overall research level of oral genetic diseases and rare diseases in China.