Objective: To investigate the genetic basis of RhD-negative phenotype in the blood donor population of Nantong City. Methods: RHD genotyping was performed on 386 randomly selected RhD-negative donor samples (from a total of 676 RhD-negative donors identified between January 20, 2023, and June 28, 2024) using polymerase chain reaction (PCR), and the inconclusive results were confirmed by nucleotide sequencing. Results: Ten RHD allele types were identified: The complete deletion variant RHD 01N.01 was predominant (64.25%, 248/386); followed by RHD 01EL.01 (19.69%, 76/386). RHD 01N.03, RHD 01N.04, RHD 01N.16 and RHD 01EL.32 were frequently observed., RHD 01EL.02, RHD 01EL.08, RHD 01EL.37 and RHD 01N.25 were rare, and two exon deletion variants remained uncharacterized. The phenotypic distribution of RhD-negative blood donors was ccee (55.44%)>Ccee(31.09%)>ccEe(5.96%)>CCee(5.44%)>CcEe(1.81%)>CcEE(0.26%), and the antigen distribution trend was e(99.74%)>c(94.56%)>C(38.60%)>E(8.03%). A correlation was observed between RHD genotypes and RhCE phenotypes. Conclusion: The Nantong blood donor population exhibits unique RHD gene polymorphisms. Integrating RhCE serological phenotyping with RHD genotyping is essential for ensuring transfusion safety.

Objective: To investigate the genetic basis of RhD-negative phenotype in the blood donor population of Nantong City. Methods: RHD genotyping was performed on 386 randomly selected RhD-negative donor samples (from a total of 676 RhD-negative donors identified between January 20, 2023, and June 28, 2024) using polymerase chain reaction (PCR), and the inconclusive results were confirmed by nucleotide sequencing. Results: Ten RHD allele types were identified: The complete deletion variant RHD 01N.01 was predominant (64.25%, 248/386); followed by RHD 01EL.01 (19.69%, 76/386). RHD 01N.03, RHD 01N.04, RHD 01N.16 and RHD 01EL.32 were frequently observed., RHD 01EL.02, RHD 01EL.08, RHD 01EL.37 and RHD 01N.25 were rare, and two exon deletion variants remained uncharacterized. The phenotypic distribution of RhD-negative blood donors was ccee (55.44%)>Ccee(31.09%)>ccEe(5.96%)>CCee(5.44%)>CcEe(1.81%)>CcEE(0.26%), and the antigen distribution trend was e(99.74%)>c(94.56%)>C(38.60%)>E(8.03%). A correlation was observed between RHD genotypes and RhCE phenotypes. Conclusion: The Nantong blood donor population exhibits unique RHD gene polymorphisms. Integrating RhCE serological phenotyping with RHD genotyping is essential for ensuring transfusion safety.

Objective To design a novel oxygenator to solve the existing problems of extracorporeal membrane oxygenation(ECMO)machine in high transmembrane pressure difference,low efficiency of blood oxygen exchange and susceptibility to thrombosis.Methods The main body of the oxygenator vascular access flow field was gifted with a flat cylindrical shape.The topology of the vascular access was modeled in three dimensions,and the whole flow field was cut into a blood inlet section,an inlet buffer,a heat exchange zone,a blood oxygen exchange zone,an outlet buffer and a blood outlet section.The oxygenator was compared with Quadrox oxygenator by means of ANSYS FLUENT-based simulation and prototype experiments.Results Simulation calculations showed the oxygenator designed was comparable to the clinically used ones in general,and gained advantages in transmembrane pressure difference,blood oxygen exchange and flow uniformity.Experimental results indicated that the oxygenator behaved better than Quadrox oxygenator in transmembrane pressure difference and blood oxygen exchange.Conclusion The oxygenator has advantages in transmem-brane pressure difference,temperature change,blood oxygen ex-change and low probability of thrombosis.[Chinese Medical Equipment Journal,2024,45(3):23-28]

Objective To investigate the clinical efficacy of multidisciplinary team (MDT) model combined with Da Vinci robot-assisted thoracic surgery in the treatment of early non-small cell lung cancer (NSCLC). Methods From July 2020 to December 2021, the patients with NSCLC who received Da Vinci robot-assisted thoracic surgery in the Department of Thoracic Surgery, General Hospital of Northern Theater Command were collected. According to whether MDT were performed before hospitalization, the patients were divided into an MDT group and a common group. The recovery and clinical efficacy were compared between the two groups. Results A total of 187 patients were enrolled, including 81 males and 106 females, aged 63 (56, 67) years. There were 85 patients in the MDT group, and 102 patients in the common group. Compared with the common group, the MDT group had lower incidence of postoperative complications (9.4% vs. 29.4%, P=0.017), shorter intraoperative operation time [55 (45, 61) min vs. 79 (65, 90) min, P<0.001], and less intraoperative blood loss [25 (20, 30) mL vs. 30 (20, 50) mL, P=0.029] in the same operation mode. In addition, the drainage volume on the second postoperative day [270 (200, 350) mL vs. 215 (190, 300) mL, P=0.004], the number of dissected lymph nodes groups [6 (5, 6) groups vs. 5 (3, 6) groups, P=0.004] and the number of dissected lymph nodes [16 (13, 21) vs. 13 (9, 20), P=0.005] in the MDT group were significantly better than those in the common group. The differences in the postoperative intubation time and postoperative hospital stay between the two groups were not statistically significant (P>0.05). Conclusion MDT combined with Da Vinci robot-assisted thoracic surgery can further reduce the risk of surgery, improve the clinical treatment effect, reduce the incidence of postoperative complications, and accelerate the rehabilitation of patients.

Objective To investigate the clinical effect of digital drainage system (DDS) in patients after robot-assisted lobectomy. Methods The clinical data of the patients who underwent da Vinci robot-assisted lobectomy from August 2020 to December 2021 were retrospectively analyzed. The patients were divided into a DDS group and a conventional group (using traditional single thoracic drainage tube device) according to different drainage devices used after operation. The preoperative data, intraoperative blood loss, total drainage volume within 48 h after operation, postoperative extubation time and postoperative hospital stay were compared between the two groups. Results Finally, 170 patients were collected, including 76 males and 94 females with an average age of 61.8±8.7 years. Postoperative extubation time [5.53 (6.00, 7.00) days vs. 6.36 (6.00, 8.00) days, Z=–2.467, P=0.014] and postoperative hospital stay [7.80 (8.00, 10.00) days vs. 8.94 (9.00, 10.00) days, Z=–2.364, P=0.018] in the DDS group were shorter than those in the conventional group. For patients with postoperative persistent air leak, postoperative extubation time (Z=–2.786, P=0.005) and postoperative hospital stay (Z=–2.862, P=0.003) in the DDS group were also shorter than those in the conventional group. Conclusion DDS has a positive effect on enhanced recovery after robot-assisted lobectomy, which is safe and stable, and is beneficial to postoperative rehabilitation and shortening the average hospital stay.

Objective To analyze the learning curve of Da Vinci robotic segmentectomy. Methods Cumulative sum analysis (CUSUM) was used to analyze the learning curve of Da Vinci robotic segmentectomy performed by the General Hospital of Northern Theater Command from February 2018 to December 2020. The learning curve was obtained by fitting, and R2 was used to judge the goodness of fitting. The clinical data of patients in different stages of learning curve were compared and analyzed. Results The first 50 patients who received Da Vinci robotic segmentectomy were included, including 24 males and 26 females, with an average age of 61.9±10.6 years. The operation time decreased gradually with the accumulation of operation patients. The goodness of fitting coefficient reached the maximum value when R2=0.907 (P<0.001), CUSUM (n) =0.009×n3−0.953×n2+24.968×n−7.033 (n was the number of patients). The fitting curve achieved vertex crossing when the number of patients reached 17. Based on this, 50 patients were divided into two stages: a learning and improving stage and a mastering stage. There were statistical differences in the operation time, intraoperative blood loss, postoperative drainage volume, number of lymph node dissection, postoperative catheter time, postoperative hospital stay, and postoperative complications between the two stages (P<0.05). Conclusion It shows that the technical competency for assuring feasible perioperative outcomes can be achieved when the cumulative number of surgical patients reaches 17.

AIM To establish the quality standard of the zhujieshen Formula Granules based on standard decoction.METHODS The contents and transfer rates of ginsenoside Ro and chikusetsu saponin Ⅳa in standard decoction and formula granules were determined by HPLC,after which the transfer rates were calculated.The HPLC characteristic chromatograms of standard decoctions were established,after which cluster analysis and principal component analysis were adopted.Then the HPLC characteristic chromatograms of formula granules were established.RESULTS Nine common peaks were found in the HPLC characteristic chromatograms of seventeen batches of standard decoctions with the similarities of more than 0.9(except for S6,S12),which were clustered into two categories,and the accumulative variance contribution rate of three principal components reached 86.7％.The contents of ginsenoside Ro in three batches of formula granules were 83.1-88.6 mg/g,and the transfer rates were 53.1％-55.5％.The contents of chikusetsusaponin Ⅳa were 14.8-15.0 mg/g,and the transfer rates were 47.4％-48.1％.Nine common peaks were found in the HPLC characteristic chromatograms of three batches of formula granules with the similarities of 0.998,0.998 and 0.999,respectively.CONCLUSION This reasonable and reliable method can comprehensively evaluate the quality of Zhujieshen Formula Granules,and provide a reference for the quality control.

Humans ; Female ; Coronary Artery Disease/complications* ; Hyperlipoproteinemia Type II/complications* ; Aortic Valve Stenosis/etiology* ; Treatment Outcome