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Objective To investigate the optimal injury time point of cardiac arrest (CA) induced electrically, and establish a reproducible prolonged CA and cardiopulmonary resuscitation (CPR) model in pigs. Methods Forty healthy domestic male pigs were randomly divided into four groups, which were ventricular fibrillation (VF) 8, 10, 11, and 12 minutes groups, each group for 10 animals. In these groups, VF was induced by alternating current delivered to right ventricular endocardium and untreated for 8, 10, 11, and 12 minutes, respectively, followed by 6 minutes of CPR procedure. The resuscitation and survival outcomes were recorded. Hemodynamic parameters and arterial blood gases of animals after successful resuscitation were measured and recorded for 6 hours. Those successful resuscitation animals were regularly evaluated for the neurological deficit score (NDS) and survival outcomes every 24 hours till 96 hours after resuscitation. Results The shortest duration of CPR (minute: 6.9±1.3) and the highest successful ratio of the first defibrillation (7/10) were observed in group VF 8 minutes, and the ratio of successful resuscitation was 100%. The best coronary perfusion pressure (CPP) during the CPR, less neurological impairment, longer survival time, more stable hemodynamics, and shorter time for arterial pH and lactate level restoring to the original state after CPR were also observed in group VF 8 minutes, and no severe damage was found in those animals. The longest duration of CPR (minute:10.3±2.9) and the lowest successful ratio of the first defibrillation (1/10) were observed in group VF 12 minutes, and only 4 animals achieved restoration of spontaneous circulation (ROSC), and no animal survived to CPR 96 hours. The worst CPP during CPR and the highest NDS after resuscitation were also found in VF 12 minutes animals compared to those animals in the other groups. The injuries caused by ischemia and hypoxia in groups VF 10 minutes and VF 11 minutes were in between those of the groups VF 8 minutes and VF 12 minutes, and the duration of CPR were (7.0±2.1) minutes and (8.2±2.6) minutes. There were 9 and 7 animals achieved ROSC in groups VF 10 minutes and VF 11 minutes correspondingly, and 6 and 4 animals survived to 96 hours respectively. Obviously unstable hemodynamics was observed during the period of CPR 2 hours in the two groups. At CPR 1 hour, the heart rates (HR, beats/min) in groups VF 10 minutes and VF 11 minutes increased to 172 (155, 201) and 168 (136, 196) respectively, and the mean arterial pressures (MAP, mmHg, 1 mmHg = 0.133 kPa) declined to 97 (92, 100) and 81 (77, 100), the cardiac output (CO, L/min) decreased to 5.0 (4.0, 5.8), 3.7 (3.0, 5.4) correspondingly. Distinct injuries were found in the two groups [CPR 24-96 hours NDS in groups VF 10 minutes and VF 11 minutes: 180 (110, 255)-20 (0, 400) and 275 (223, 350)-240 (110, 400)], and the arterial pH of the two group decreased to 7.26±0.09 and 7.23±0.09 respectively, and the level of lactate (mmol/L) increased to 9.17±1.48 and 12.80±2.71 correspondingly at CPR 0.5 hour. Significantly lower pH was observed in group VF 11 minutes compared to group VF 8 minutes at CPR 0.5 hour (7.23±0.09 vs. 7.33±0.04, P < 0.05). The highest level of lactate (mmol/L) was also found at the same time point in group VF 11 minutes, which recovered to normal slowly, and was still significantly higher than groups VF 8, 10, 12 minutes (7.58±3.99 vs. 2.55±1.53, 2.13±2.00, 3.40±2.30, all P < 0.05) at CPR 4 hours. Conclusions The longer duration of CA was, the more severe damage would be, the longer CPR time would be required, and the harder of the animals to achieve ROSC. In this prolonged CA and CPR porcine model, 10-11 minutes for untreated VF, was an optimal time point with appropriate successful rate of resuscitation, survival outcomes, and post-resuscitation injuries. Therefore, we recommended 10-11 minutes might be the rational length of no-flow time in this model.

Purpose/Significance The paper discusses the application of artificial intelligence technology to the key entity recognition ofunstructured text data in the electronic medical records of lymphedema patients.Method/Process It expounds the solution of model fine-tuning training under the background of sample scarcity,a total of 594 patients admitted to the department of lymphatic surgery of Beijing Shijitan Hospital,Capital Medical University are selected as the research objects.The prediction layer of the GlobalPointer model is fine-tuned according to 15 key entity categories labeled by clinicians,nested and non-nested key entities are identified with its glob-al pointer.The accuracy of the experimental results and the feasibility of clinical application are analyzed.Result/Conclusion After fine-tuning,the average accuracy rate,recall rate and Macro_F1 ofthe model are 0.795,0.641 and 0.697,respectively,which lay a foundation for accurate mining of lymphedema EMR data.

Objective: To design and evaluate a new method for measuring the center of rotation of the hip joint, and to compare it with the traditional methods. Methods: Data of healthy hips of 120 total hip arthroplasty (THA) patients (120 hips) and bilateral hips of 20 healthy volumteers (40 hips) were collected. A series of X-rays and magnetic resonance imaging (MRI) were taken from each patient with the hip joint abductted at differenct angles (0°, 7.5°, 15°, and 22.5°). The motion track of rotation center was obtained by comparing these X-ray and MRI images. The preoperative and postoperative data of 67 surgical patients who underwent two different measurement methods before surgery were compared. Results: Compared with traditional measurement methods, the accuracy of our new method was significantly improved; the results of hip MRI verified the objectivity and accuracy of our new method; preoperative measurements and postoperative follow-up results showed that our new method had a better clinical effect than traditional measurements. Conclusions The team′s innovative new measurement method based on pelvic orthotopic X-ray photographs with different abduction angles of the hip shows more accurate data than traditional measurement methods and shows better clinical results.