Objective:To explore the influencing factors of evacuation associated pulmonary edema (WIPE) in patients with mechanical ventilation of cardiogenic respiratory failure, and to build a risk warning model based on independent influencing factors.Methods:A total of 220 patients with cardiogenic respiratory failure who were treated and received mechanical ventilation in Chengbei Campus of Hangzhou First People′s Hospital from April 2021 to December 2023 were retrospectively selected by cross-sectional investigation method, and were divided into WIPE group (34 cases) and non WIPE group (186 cases) according to whether the patients had WIPE or not. Clinical data of the patients were analyzed using the hospital electronic medical record system. The influencing factors of WIPE were determined by univariate analysis and multivariate Logistic regression analysis, and the risk early warning model was constructed based on regression analysis. The corresponding nomogram was drawn by R language software, and the predictive efficiency of the model was tested by receiver operating characteristic curve and calibration curve.Results:WIPE group included 18 males and 16 females, aged (65.12±9.28) years. Non WIPE group included 107 males and 79 females, aged (60.25±8.40) years. Multivariate Logistic regression analysis showed that age ( OR=1.072), smoking history ( OR=3.412), acute physiology and chronic health evaluationⅡ( OR=1.184), cardiac function classification ( OR=4.043), shallow rapid breathing index ( OR=1.100), mechanical ventilation time ( OR=1.540), hypertension ( OR=4.903), left ventricular diastolic dysfunction ( OR=5.151) and chronic obstructive pulmonary disease ( OR= 5.536) were independent influencing factors (all P < 0.05). The area under the curve of the risk early warning model constructed based on the above 9 independent influencing factors was 0.938, and the sensitivity and specificity corresponding to the optimal cutoff value of 0.620 were 0.971 and 0.801, respectively, indicating good differentiation ability. The calibration curve results show that the average absolute error was 0.020, the calibration curve fits the ideal curve, and the model calibration performance was good. Conclusions:WIPE in patients with cardiogenic respiratory failure induced by mechanical ventilation is affected by cardiac function status, mechanical ventilation parameters and other factors. The risk early warning model based on the above 9 independent influencing factors has good predictive efficacy, and can provide reference for clinical prevention of WIPE.

Objective:To explore the influencing factors of evacuation associated pulmonary edema (WIPE) in patients with mechanical ventilation of cardiogenic respiratory failure, and to build a risk warning model based on independent influencing factors.Methods:A total of 220 patients with cardiogenic respiratory failure who were treated and received mechanical ventilation in Chengbei Campus of Hangzhou First People′s Hospital from April 2021 to December 2023 were retrospectively selected by cross-sectional investigation method, and were divided into WIPE group (34 cases) and non WIPE group (186 cases) according to whether the patients had WIPE or not. Clinical data of the patients were analyzed using the hospital electronic medical record system. The influencing factors of WIPE were determined by univariate analysis and multivariate Logistic regression analysis, and the risk early warning model was constructed based on regression analysis. The corresponding nomogram was drawn by R language software, and the predictive efficiency of the model was tested by receiver operating characteristic curve and calibration curve.Results:WIPE group included 18 males and 16 females, aged (65.12±9.28) years. Non WIPE group included 107 males and 79 females, aged (60.25±8.40) years. Multivariate Logistic regression analysis showed that age ( OR=1.072), smoking history ( OR=3.412), acute physiology and chronic health evaluationⅡ( OR=1.184), cardiac function classification ( OR=4.043), shallow rapid breathing index ( OR=1.100), mechanical ventilation time ( OR=1.540), hypertension ( OR=4.903), left ventricular diastolic dysfunction ( OR=5.151) and chronic obstructive pulmonary disease ( OR= 5.536) were independent influencing factors (all P < 0.05). The area under the curve of the risk early warning model constructed based on the above 9 independent influencing factors was 0.938, and the sensitivity and specificity corresponding to the optimal cutoff value of 0.620 were 0.971 and 0.801, respectively, indicating good differentiation ability. The calibration curve results show that the average absolute error was 0.020, the calibration curve fits the ideal curve, and the model calibration performance was good. Conclusions:WIPE in patients with cardiogenic respiratory failure induced by mechanical ventilation is affected by cardiac function status, mechanical ventilation parameters and other factors. The risk early warning model based on the above 9 independent influencing factors has good predictive efficacy, and can provide reference for clinical prevention of WIPE.

Objective:To investigate the correlation between oral cleanliness and secondary Pulmonary infection in patients with severe chronic obstructive pulmonary disease (COPD) in mechanical ventilation, and to investigate the predictive effect of oral cleanliness on the risk of secondary pulmonary infection.Methods:Using the cross-sectional survey method, the purposeful sampling method was adopted to select 216 patients with severe COPD who were hospitalized in Hangzhou First People′s Hospital from June 2020 to December 2023 and received mechanical ventilation. The oral cleanliness index and general clinical data of patients at admission were collected using the hospital electronic medical record system. The independent influencing factors of secondary lung infection were analyzed by univariate analysis and multivariate Logisitic regression. The predictive value of oral cleanliness index on secondary lung infection was analyzed by patient operating characteristic (ROC) curve.Results:216 patients with severe COPD who underwent mechanical ventilation were included.Patients aged 37-84 (66.81 ± 8.98) years were included, including 125 males and 91 females.Among them, 89 cases developed secondary pulmonary infection, with an infection rate of 41.20%.Univariate analysis and multivariate Logistic regression analysis showed that, Beck Oral Rating Scale (BOAS) score ( OR = 1.371), visual simulation score of oral odor ( OR = 1.405), gum index ( OR = 3.508), plaque index ( OR = 14.357), smoking history ( OR = 6.772), duration of disease ( OR = 1.391), COPD assessment test score ( OR = 1.269) and mechanical ventilation time ( OR = 1.302) were independent factors for secondary pulmonary infection (all P<0.05). ROC curve analysis showed that oral cleanliness index combined with infection prediction was effective (the area under the ROC curve was 0.833) . Conclusions:Oral cleanliness was closely related to secondary pulmonary infection in patients with severe COPD with mechanical ventilation. BOAS score, visual simulation score of oral odor, gingival index and plaque index could predict secondary pulmonary infection independently, and combined test could predict secondary pulmonary infection.

Objective:To investigate the correlation between oral cleanliness and secondary Pulmonary infection in patients with severe chronic obstructive pulmonary disease (COPD) in mechanical ventilation, and to investigate the predictive effect of oral cleanliness on the risk of secondary pulmonary infection.Methods:Using the cross-sectional survey method, the purposeful sampling method was adopted to select 216 patients with severe COPD who were hospitalized in Hangzhou First People′s Hospital from June 2020 to December 2023 and received mechanical ventilation. The oral cleanliness index and general clinical data of patients at admission were collected using the hospital electronic medical record system. The independent influencing factors of secondary lung infection were analyzed by univariate analysis and multivariate Logisitic regression. The predictive value of oral cleanliness index on secondary lung infection was analyzed by patient operating characteristic (ROC) curve.Results:216 patients with severe COPD who underwent mechanical ventilation were included.Patients aged 37-84 (66.81 ± 8.98) years were included, including 125 males and 91 females.Among them, 89 cases developed secondary pulmonary infection, with an infection rate of 41.20%.Univariate analysis and multivariate Logistic regression analysis showed that, Beck Oral Rating Scale (BOAS) score ( OR = 1.371), visual simulation score of oral odor ( OR = 1.405), gum index ( OR = 3.508), plaque index ( OR = 14.357), smoking history ( OR = 6.772), duration of disease ( OR = 1.391), COPD assessment test score ( OR = 1.269) and mechanical ventilation time ( OR = 1.302) were independent factors for secondary pulmonary infection (all P<0.05). ROC curve analysis showed that oral cleanliness index combined with infection prediction was effective (the area under the ROC curve was 0.833) . Conclusions:Oral cleanliness was closely related to secondary pulmonary infection in patients with severe COPD with mechanical ventilation. BOAS score, visual simulation score of oral odor, gingival index and plaque index could predict secondary pulmonary infection independently, and combined test could predict secondary pulmonary infection.

Cathepsin D (CTSD), the major lysosomal aspartic protease that is widely expressed in different tissues, potentially regulates the biological behaviors of various cells. Follicular granulosa cells are responsive to the increase of ovulation number, hence indirectly influencing litter size. However, the mechanism underlying the effect of CTSD on the behaviors of goat granulosa cells has not been fully elucidated. This study used immunohistochemistry to analyze CTSD localization in goat ovarian tissues. Moreover, western blotting was applied to examine the differential expression of CTSD in the ovarian tissues of monotocous and polytocous goats. Subsequently, the effects of CTSD knockdown on cell proliferation, apoptosis, cell cycle, and the expression of candidate genes of the prolific traits, including bone morphogenetic protein receptor IB (

The aim of this study was to investigate the expression of growth hormone (GH) gene on skeletal muscle cell proliferation of Guizhou cattle. The coding sequence of cattle GH gene was amplified by reverse transcription PCR, cloned into the pUCM-T vector and then used to construct the GH gene overexpression vector pEGFP-N3-GH. The expression of the GH gene in skeletal muscle-related tissues (psoas major and longissimus dorsi) of Guizhou cattle was determined by real-time fluorescent quantitative PCR (RT-qPCR). This was followed by culturing and identification of the bovine primary skeletal muscle cells. Subsequently, we introduced the GH gene overexpression vector into the cells to investigate its effect on the proliferation of bovine skeletal muscle cells and the expression of insulin like growth factor 1 and 2 genes related to skeletal muscle growth and development. RT-qPCR results showed that the expression level of GH gene was higher in the psoas major than in the longissimus dorsi of Guizhou cattle, and the expression level in the psoas major of Guanling cattle and Weining cattle was significantly higher than in the longissimus dorsi (P<0.05). The transfection and proliferation results showed that pEGFP-N3-GH significantly increased the expression of GH, IGF-1, and IGF-2 genes in skeletal muscle cells compared to pEGFP-N3 (PP<0.05), and that overexpression of the GH gene also significantly increased the proliferation rate of skeletal muscle cells at the four periods examined (PP<0.01). Our results suggest that GH gene can promote the proliferation of skeletal muscle cells of Guizhou cattle and exerts a positive regulatory effect. This lays the foundation for further exploring the mechanism by which the GH gene affects the growth and development of Guizhou cattle.
Animals ; Cattle ; Cell Proliferation ; Cloning, Molecular ; Growth Hormone/genetics* ; Insulin-Like Growth Factor I/genetics* ; Muscle, Skeletal

Objective:To perform textual researches on name, origin and distribution of Maidong to clarify the medicinal varieties and history recorded in ancient literatures and provide evidence for clinical use. Methods:Ancient herbal works were performed textual research, and the resource investigation and modern data were analyzed. Results:According to the ancient herbal records and modern researches, Maidong had lots of alias, while only Maimendong and Maidong were used as the medicine common names. According to the records of main origin, original plant morphological and medicinal characteristics of Maimendong, it was preliminarily concluded that Maidong recorded in the ancient herbal records was mainly produced in Jiande of Zhejiang province, Mianyang of Sichuan prov-ince, Xiangyang of Hubei province and the surrounding areas. The chemical compositions and pharmacological activities of Maidong and Shanmaidong were similar;therefore, they both could be used as the medicines. Conclusion:In the light of the ancient and mod-ern medicinal customs, modern chemistry and pharmacology researches and clinical practice of TCM, it deserves further discussion on whether Maidong and Shanmaidong can be used as multi source varieties of traditional Chinese medicines just like Polygonaceae plants palmatum L. , Rheum tanguticum Maxim, ex Balf. and Rheum officinale Baill. , and Ranunculaceae plants Coptis chinensis Franch. , Coptis deltoidea C. Y. Cheng et Hsiao and Coptisteeta Wall.