Objective:To provide data support to the anthropometry for medical selection of the Air Force flying cadets by investigating the accuracy of the measurement based on three-dimensional scanning technology.Methods:Using cluster sampling, 987 participants were selected for Air Force medical selection physical examination in 2022. The Air Force recruitment medical selection defined data (body height, sitting height, chest circumference, upper extremity length and lower extremity length) were measured manually and automatically by 3D CaMega which was based on three-dimensional scanning technology. The results of both measurements were compared. The accuracy of auto measurement was calculated against the manual measure result. The body height, sitting height, upper and lower limb lengths were respectively verified by 2 measurements upon selection criteria, and the concordance rate was calculated. The time spent on manual and auto measurements was compared in 107 students who were measured in the first examination day.Results:The body height, sitting height and chest circumference that measured by 3D CaMega were higher than those measured manually ( t=13.07, 14.45, 42.49, all P<0.001), but the lengths of upper and lower limbs were shorter ( t=39.66, 5.23, both P<0.001). In terms of the degree of difference, the variance of chest circumference between the 2 measurement methods was the greatest and followed by sitting height, lower limb length and upper limb length. Body heights showed the smallest difference. Compared with the manual measurement, the accuracy rates of auto measurement of body height, sitting height and upper and lower limb lengths were above 97%. The concordance rate of both measurements was above 98%. The automatic measurement by 3D CaMega took longer time ( t=29.39, P<0.001), compared with the manual measurement. Conclusions:Three-dimensional scanning technology can meet the demands of anthropometry for medical selection of the Air Force flying cadets and shows good application prospect in future.

Objective:To provide data support to the anthropometry for medical selection of the Air Force flying cadets by investigating the accuracy of the measurement based on three-dimensional scanning technology.Methods:Using cluster sampling, 987 participants were selected for Air Force medical selection physical examination in 2022. The Air Force recruitment medical selection defined data (body height, sitting height, chest circumference, upper extremity length and lower extremity length) were measured manually and automatically by 3D CaMega which was based on three-dimensional scanning technology. The results of both measurements were compared. The accuracy of auto measurement was calculated against the manual measure result. The body height, sitting height, upper and lower limb lengths were respectively verified by 2 measurements upon selection criteria, and the concordance rate was calculated. The time spent on manual and auto measurements was compared in 107 students who were measured in the first examination day.Results:The body height, sitting height and chest circumference that measured by 3D CaMega were higher than those measured manually ( t=13.07, 14.45, 42.49, all P<0.001), but the lengths of upper and lower limbs were shorter ( t=39.66, 5.23, both P<0.001). In terms of the degree of difference, the variance of chest circumference between the 2 measurement methods was the greatest and followed by sitting height, lower limb length and upper limb length. Body heights showed the smallest difference. Compared with the manual measurement, the accuracy rates of auto measurement of body height, sitting height and upper and lower limb lengths were above 97%. The concordance rate of both measurements was above 98%. The automatic measurement by 3D CaMega took longer time ( t=29.39, P<0.001), compared with the manual measurement. Conclusions:Three-dimensional scanning technology can meet the demands of anthropometry for medical selection of the Air Force flying cadets and shows good application prospect in future.

Objective:We aimed to evaluate the predictive value of pre-implantation biopsy combined with Lifeport for the short-term prognosis of kidney allograft from donation after citizen death (DCD).Methods:Data from a total of 34 patients who had undergone kidney transplantation in Jinling Hospital from December 2017 to December 2019 were retrospectively analyzed. Histopathological data from pre-implantation biopsy , Lifeport parameters and recipient kidney transplant function at 3 months post-surgery were collected. The performances of histopathological indexes , and Lifeport parameters to predict delayed graft function (DGF) and estimated glomerular filtration rate (eGFR) at 3 months post-surgery were observed evaluated.Results:13 cases of DGF occurred, accounting for 38.2%. Serum creatinine at death and resistance index (RI) at 0.5 h, 1 h, 2 h and 4 h after Lifeport hypothermic machine perfusion (HMP) in the DGF group was significantly higher than that in the non-DGF group. Histologically, the acute tubular injury (ATI) score of the DGF group was higher than that of the non-DGF group, whereas the Remuzzi score was not statistically different between the two groups. The eGFR at 3 months post-transplant was moderately correlated with the RI at 4 h HMP and the Remuzzi score (RI: r=-0.48, P<0.001; Remuzzi score: ρ=-0.42, P=0.01), but no correlated with ATI score of the donor kidney. Although Remuzzi score was not correlated with kidney allograft recovery time (ρ=-0.25, P=0.16), it was inversely correlated with eGFR at 3 months post-transplant (ρ=-0.42, P=0.01). Combined use of Lifeport HMP 4-hour RI and ATI score increased the sensitivity and specificity of predicting DGF to 100% (95% CI: 75.3%-100%) and 90.5% (95% CI: 69.6%-98.8%) respectively. Conclusions:The serum creatinine at death, Lifeport RI, and ATI score of the DGF group were significantly higher than those of the non-DGF group, and the eGFR at 3 months post-transplant was correlated with the Lifeport RI and Remuzzi score. Combined use of ATI score and RI at 4 hours of Lifeport perfusion improved the sensitivity and specificity of predicting DGF .

ObjectiveTo explore the inductive action of docosapentenoic acid(DPA) on neurite outgrowth in PC12 cells in vitro.MethodsNeurite outgrowth in PC12 cells was examined after the treatment with different concentration of DPA using Motic Zamges Plus software mapping cell image system.Western blot was performed to detect the expression of β Ⅲ-tubulin regulated protein kinase,a neuronal marker as well as ERK and protein kinase B (Akt) phosphorylation.ResultsPC12 cell neurite formation rate was increased in a concentration dependent manner in the induction of DPA,increased by 2.4% (DPA 10 μg/ml,P>0.05),18.6% (DPA 30 μg/ml,P<0.05) and 25.0% (DPA 50 μg/ml,P<0.05) compared with that in the control group.DPA promoted the expression of β Ⅲ-tubulin (P<0.05) and the phosphorylation level of ERK and Akt (P<0.05,P<0.01).ConclusionDPA promotes PC12 cell neurites growth and its mechanism may be related to the activation of ERK and Akt signaling pathways.