This study explores the diagnostic value of combining the Padua score with the thrombotic biomarker tissue plasminogen activator inhibitor-1(tPAI-1)for assessing the risk of deep vein thrombosis(DVT)in patients with p...This study explores the diagnostic value of combining the Padua score with the thrombotic biomarker tissue plasminogen activator inhibitor-1(tPAI-1)for assessing the risk of deep vein thrombosis(DVT)in patients with pulmonary heart disease.These patients often exhibit symptoms similar to venous thrombosis,such as dyspnea and bilateral lower limb swelling,complicating differential diagnosis.The Padua Prediction Score assesses the risk of venous thromboembolism(VTE)in hospitalized patients,while tPAI-1,a key fibrinolytic system inhibitor,indicates a hypercoagulable state.Clinical data from hospitalized patients with cor pulmonale were retrospectively analyzed.ROC curves compared the diagnostic value of the Padua score,tPAI-1 levels,and their combined model for predicting DVT risk.Results showed that tPAI-1 levels were significantly higher in DVT patients compared to non-DVT patients.The Padua score demonstrated a sensitivity of 82.61%and a specificity of 55.26%at a cutoff value of 3.The combined model had a significantly higher AUC than the Padua score alone,indicating better discriminatory ability in diagnosing DVT risk.The combination of the Padua score and tPAI-1 detection significantly improves the accuracy of diagnosing DVT risk in patients with pulmonary heart disease,reducing missed and incorrect diagnoses.This study provides a comprehensive assessment tool for clinicians,enhancing the diagnosis and treatment of patients with cor pulmonale complicated by DVT.Future research should validate these findings in larger samples and explore additional thrombotic biomarkers to optimize the predictive model.展开更多
橡胶树棒孢霉落叶病(Corynespora leaf fall disease,CLFD)是全球主要植胶国最为严重的叶部病害之一,可造成严重的产量和经济损失,而抗病种质鉴选与创制利用是该病最为有效的防治策略。本研究对云研277-5×IAN 873、RRIC103×热...橡胶树棒孢霉落叶病(Corynespora leaf fall disease,CLFD)是全球主要植胶国最为严重的叶部病害之一,可造成严重的产量和经济损失,而抗病种质鉴选与创制利用是该病最为有效的防治策略。本研究对云研277-5×IAN 873、RRIC103×热研8-79和云研277-5×热垦525三个杂交组合的821份F_(1)代群体进行了抗棒孢霉落叶病的评价,明确了F_(1)代群体的抗病性水平,并从符合正态分布的2个杂交组合中筛选出32份候选F_(1)代单株进行芽接,再分别利用3个亚型的多主棒孢病菌和2种评价方法对候选F_(1)代无性系种苗进行抗病性复筛,最终获得5份抗病性较好的F_(1)代新种质。通过对5份抗病新种质防御酶活性的测定,以及抗病相关基因表达特性的分析,进一步证实了5份抗病新种质与多主棒孢病菌在侵染过程中的互作关系,明确了其在病原菌接种不同时间段的差异表达特征。本研究为橡胶树棒孢霉落叶病抗病性早期鉴选、抗病种质培育与创制利用提供了很好的种质材料和理论支撑。展开更多
基金Sichuan Province Medical Research Project Plan(Project No.S21113)。
文摘This study explores the diagnostic value of combining the Padua score with the thrombotic biomarker tissue plasminogen activator inhibitor-1(tPAI-1)for assessing the risk of deep vein thrombosis(DVT)in patients with pulmonary heart disease.These patients often exhibit symptoms similar to venous thrombosis,such as dyspnea and bilateral lower limb swelling,complicating differential diagnosis.The Padua Prediction Score assesses the risk of venous thromboembolism(VTE)in hospitalized patients,while tPAI-1,a key fibrinolytic system inhibitor,indicates a hypercoagulable state.Clinical data from hospitalized patients with cor pulmonale were retrospectively analyzed.ROC curves compared the diagnostic value of the Padua score,tPAI-1 levels,and their combined model for predicting DVT risk.Results showed that tPAI-1 levels were significantly higher in DVT patients compared to non-DVT patients.The Padua score demonstrated a sensitivity of 82.61%and a specificity of 55.26%at a cutoff value of 3.The combined model had a significantly higher AUC than the Padua score alone,indicating better discriminatory ability in diagnosing DVT risk.The combination of the Padua score and tPAI-1 detection significantly improves the accuracy of diagnosing DVT risk in patients with pulmonary heart disease,reducing missed and incorrect diagnoses.This study provides a comprehensive assessment tool for clinicians,enhancing the diagnosis and treatment of patients with cor pulmonale complicated by DVT.Future research should validate these findings in larger samples and explore additional thrombotic biomarkers to optimize the predictive model.
文摘橡胶树棒孢霉落叶病(Corynespora leaf fall disease,CLFD)是全球主要植胶国最为严重的叶部病害之一,可造成严重的产量和经济损失,而抗病种质鉴选与创制利用是该病最为有效的防治策略。本研究对云研277-5×IAN 873、RRIC103×热研8-79和云研277-5×热垦525三个杂交组合的821份F_(1)代群体进行了抗棒孢霉落叶病的评价,明确了F_(1)代群体的抗病性水平,并从符合正态分布的2个杂交组合中筛选出32份候选F_(1)代单株进行芽接,再分别利用3个亚型的多主棒孢病菌和2种评价方法对候选F_(1)代无性系种苗进行抗病性复筛,最终获得5份抗病性较好的F_(1)代新种质。通过对5份抗病新种质防御酶活性的测定,以及抗病相关基因表达特性的分析,进一步证实了5份抗病新种质与多主棒孢病菌在侵染过程中的互作关系,明确了其在病原菌接种不同时间段的差异表达特征。本研究为橡胶树棒孢霉落叶病抗病性早期鉴选、抗病种质培育与创制利用提供了很好的种质材料和理论支撑。