1.Correlation between serum PEDV S1 IgG antibody levels and neutralizing antibody levels in sows
Yaoyao PAN ; Junbo WANG ; Shiqing XIE ; Meiting LIN ; Ye LUO ; Jin ZHENG ; Chengcai HU ; Xinglong YU
Chinese Journal of Veterinary Science 2024;44(7):1367-1372
The aim of this study was to investigate the correlation between porcine epidemic diar-rhea virus(PEDV)S1 IgG antibody levels and neutralizing antibody potency in sow sera.Sera from 5 PEDV-infected farms with a clear immune background,5 non-infected farms and 5 infected farms with an unclear immune background,and sera from return-fed reserve pigs,totaling 716 copies,were collected and measured,and the correlation between PEDV S1 IgG antibodies and neutralizing antibodies was analyzed.The results showed that the PEDV S1 IgG and neutralizing antibodies of sow sera showed highly significant positive correlation,the correlation coefficient was 0.892(P<0.000 1).Previous studies have shown that the level of PEDV neutralizing antibodies in sow serum correlates with the ability of piglets'maternal antibodies to resist PEDV infection.Therefore,the a-bility of maternal antibodies against PEDV in piglets can be evaluated by detecting PEDV S1 IgG antibodies in the serum of sows.In 10 PEDV-infected farms,the neutralizing antibodies to PEDV in the sera of sows after immunization were generally high,and the S1 IgG antibodies were also high,and their S/P values were higher than 3.5 in 66.9%of the farms(347/519),and the highest anti-body levels were found in the four farms in which PED did not occur,whereas the neutralizing an-tibodies in the immunized sows in the five PEDV-uninfected farms were generally low,and their S1 IgG antibodies were also low,and only 8.1%(13/161)having S/P values higher than 3.5.The re-sults suggest that most sows in PEDV-infected farms can provide good immunoprotection to pig-lets after immunization,while pigs in PEDV-uninfected farms need further immunization if they need to achieve a higher level of immunoprotection.The present study provides a substantial clini-cal basis for the use of PEDV S1 IgG antibody levels to assess the effectiveness of PEDV antibody protection in swine herds.
2.Predictive factors for the outcome of patients with complete recanalization after endovascular therapy for acute basilar artery occlusion
Di HU ; Zhenyu JIA ; Fang WEN ; Ting JIA ; Lizhi YU ; Linbo ZHAO ; Sheng LIU ; Chengcai XIA
International Journal of Cerebrovascular Diseases 2024;32(10):721-727
Objective:To investigate the predictive factors for the outcome of patients with complete recanalization after endovascular treatment (EVT) for acute basilar artery occlusion (ABAO).Methods:Patients with ABAO underwent EVT at Jiangsu Provincial People's Hospital and Nanjing Pukou People's Hospital from January 2015 to December 2022 were included retrospectively. Complete recanalization was defined as a modified Thrombolysis in Cerebral Infarction (mTICI) grade 3 after EVT. The main outcome measure was the clinical outcome evaluated by the modified Rankin Scale at 90 days after onset. 0-2 points were defined as good outcome and >2 points were defined as poor outcome. The secondary outcome measure was death within 90 days after onset. Multivariate logistic regression analysis was used to determine the independent predictive factors for poor outcome and mortality. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of the independent predictive factors for poor outcome or mortality. Results:A total of 73 patients with completed recanalization after EVT for ABAO were enrolled, including 55 males (75.3%), aged 67.2±1.58 years, with the median baseline National Institutes of Health Stroke Scale (NIHSS) score 23, median baseline Basilar Artery on Computed Tomography Angiography (BATMAN) score 7, and median baseline posterior circulation Alberta Stroke Program Early CT Score (pc-ASPECTS) 8. After 90 days of onset, 34 patients (46.6%) had poor outcome and 16 (21.9%) died. Multivariate logistic regression analysis showed that higher baseline NIHSS score (odds ratio [ OR] 1.151, 95% confidence interval [ CI] 1.041-1.273; P=0.006), lower baseline pc-ASPECTS ( OR 0.096, 95% CI 0.024-0.386; P=0.001), lower baseline BATMAN score ( OR 0.394, 95% CI 0.162-0.961; P=0.041), and non-first-pass recanalization ( OR 5.011, 95% CI 1.675-23.343; P=0.016) were independently associated with the poor outcome. ROC curve analysis showed that the area under the curve for predicting poor outcome by combining these independent predictive factors was 0.966 (95% CI 0.930-0.964). Multivariate logistic regression analysis showed that older age ( OR 1.147, 95% CI 1.010-1.303; P=0.035), higher baseline NIHSS score ( OR 1.236, 95% CI 1.040-1.470; P=0.016), lower baseline pc-ASPECTS ( OR 0.011, 95% CI 0.002-0.249; P=0.015), and lower baseline BATMAN score ( OR 0.050, 95% CI 0.004-0.618; P=0.020) were independently associated with mortality within 90 days after onset. ROC curve analysis showed that the area under the curve for predicting mortality by combining these independent predictive factors was 0.948 (95% CI 0.899-0.997). Conclusion:For patients with ABAO who had complete recanalization after EVT, the baseline NIHSS score, baseline pc-ASPECTS, baseline BATMAN score, and non-first-pass recanalization are the independent predictive factors for poor outcome at 90 days after onset, while age, baseline NIHSS score, baseline pc-ASPECTS, and baseline BATMAN score are the independent predictive factors for mortality within 90 days after onset.
3.Application of enhanced recovery after surgery using the LEER model in patients subjected to laparoscopic cholecystectomy in basic hospitals of Yi nationality area
Kangyi JIANG ; Minghua LIAO ; Shuyun ZHU ; Zhenxia ZHANG ; Jie YANG ; Xin MIN ; Guomao YUE ; Chengcai HU ; Han BAI ; Jianping LI ; Zehua LEI
Chinese Journal of Primary Medicine and Pharmacy 2022;29(11):1648-1652
Objective:To investigate the clinical application value of enhanced recovery after surgery using the LEER model in patients subjected to laparoscopic cholecystectomy in basic hospitals of Yi nationality area.Methods:Twenty-six patients who underwent laparoscopic cholecystectomy based on the concept of enhancing recovery after surgery using the LEER model in People's Hospital of Jinkouhe District of Leshan from January to October 2021 were included in the observation group. An additional 20 patients who concurrently underwent laparoscopic cholecystectomy and conventional intervention were included in the control group. Clinical efficacy, postoperative complications and postoperative pain were compared between the two groups.Results:Postoperative fasting time, length of hospital stay, and total hospital days in the observation group were 6 (6, 6) hours, 2 (2, 3) days and 4 (4, 6) days respectively, which were significantly shorter than 24 (24, 36) hours, 5 (5, 6) days, 7 (7, 9) days in the control group ( H = 351.00, 407.50, 458.00, all P < 0.05). Hospitalization cost in the observation group was 5 454.58 (5 014.11, 6 016.58) yuan, which was significantly lower than 6 611.91 (6 192.68, 7 841.73) yuan in the control group ( H = 420.00, P < 0.05). There were no significant differences in operative time and postoperative complications between the two groups (both P > 0.05). At postoperative 6 hours, Visual Analogue Scale score in the observation group was 3 (3, 4) points, and patients with mild pain accounted for 73.07% (19/26). At postoperative 24 hours, Visual Analogue Scale score in the observation group was 2 (2, 3) points, and patients with mild pain accounted for 92.31% (24/26). Overall pain was well controlled after surgery. Patient satisfaction rate in the observation was 96.15% (25/26). All patients recovered and were discharged. Conclusion:Application of enhanced recovery after surgery using the LEER model in patients subjected to laparoscopic cholecystectomy in basic hospitals of Yi nationality area can promote postoperative recovery, contribute to changing the theory of diagnosis and treatment, and improve overall medical quality. The enhanced recovery after surgery protocol using the LEER model has a good application value.

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