目的:探讨子宫动脉血流参数联合血小板聚集功能预测不明原因复发性流产(URSA)的价值。方法:将2021年9月至2023年8月本院收治的94例URSA患者作为URSA组,另外将同期在本院进行产检的110例正常妊娠孕妇作为对照组。URSA患者随访至妊娠28周...目的:探讨子宫动脉血流参数联合血小板聚集功能预测不明原因复发性流产(URSA)的价值。方法:将2021年9月至2023年8月本院收治的94例URSA患者作为URSA组,另外将同期在本院进行产检的110例正常妊娠孕妇作为对照组。URSA患者随访至妊娠28周,根据妊娠结局分为正常妊娠组(n = 25)和流产组(n = 69)。比较2组患者子宫动脉血流参数、血小板聚集率;采用受试者工作特性(ROC)曲线评估子宫动脉血流参数、血小板聚集率对URSA患者妊娠结局的预测价值;采用二分类Logistic逐步回归分析探讨URSA患者妊娠结局的影响因素。结果:在搏动指数(PI)、动脉血流阻力指数(RI)、收缩期/舒张期血流速度比值(S/D)、血小板聚集率指标方面,URSA组相较于对照组更高(P P P Objective: To explore the value of the combination of uterine artery flow parameters and platelet aggregation function in predicting unexplained recurrent abortion (URSA). Methods: 94 patients with URSA from September 2021 to August 2023 were selected as the URSA group, and 110 normal pregnant women who underwent prenatal examination were selected as the control group. The URSA patients were followed up until 28 weeks of gestation and divided into the normal pregnancy group (n = 25) and the abortion group (n = 69) according to the pregnancy outcome. The uterine artery blood flow parameters and platelet aggregation rate were compared between the two groups. The predictive value of the uterine artery flow parameters and platelet aggregation rate for the pregnancy outcomes of URSA patients was evaluated by ROC. Binary Logistic stepwise regression was employed to explore the influencing factors of the pregnancy outcomes of URSA patients. Results: The indexes of the pulse index (PI), the arterial flow resistance index (RI), the systolic/diastolic blood flow velocity ratio (S/D), and the platelet aggregation rate in the URSA group were higher than those in the control group (P P P < 0.05). The ROC curve demonstrated that the area under the curve (AUC) (95% CI) of the uterine artery flow parameters, the platelet aggregation rate, and their combined prediction of the pregnancy outcomes of URSA patients were 0.858 (0.807~0.910), 0.764 (0.753~0.816), and 0.903 (0.852~0.955), respectively. Conclusion: The level of the uterine artery blood flow parameters and the increase of the platelet aggregation rate are closely associated with the pregnancy outcome of URSA patients, and the combined value of the two is highly significant in predicting the pregnancy outcome of URSA patients.展开更多
慢性阻塞性肺疾病作为呼吸系统疾病的常见病、多发病,其患病率、致残率和死亡率也非常高。然而,在慢性阻塞性肺疾病的诊治中存在一定的问题。本文通过六大模块实现了慢阻肺数据平台的框架建设,提出了平台建设的意义。通过平台的建设,在...慢性阻塞性肺疾病作为呼吸系统疾病的常见病、多发病,其患病率、致残率和死亡率也非常高。然而,在慢性阻塞性肺疾病的诊治中存在一定的问题。本文通过六大模块实现了慢阻肺数据平台的框架建设,提出了平台建设的意义。通过平台的建设,在患者的闭环化管理、患者及家属对疾病管理的依从性、稳定期管理及研究慢阻肺管理新模式方面有着重要的应用前景。平台的建设和应用只是慢阻肺研究和探索的开始,未来也期望通过平台的建设和探索,实现医院间患者的同质化管理、慢阻肺患者的个体化精准化管理,不断培养临床医生研究思维和研究能力,推动慢性阻塞性肺疾病的诊治新发展。Chronic obstructive pulmonary disease (COPD), as a common and frequently-occurring respiratory disease, has a very high morbidity, disability and mortality rate. However, there are some problems in the diagnosis and treatment of chronic obstructive pulmonary disease. This paper realizes the framework construction of COPD data platform through six modules and puts forward the significance of the platform construction. Through the construction of the platform, it has an important application prospect in the closed-loop management of patients, the compliance of patients and their families to disease management, the management of stable period and the research of a new model of COPD management. The construction and application of the platform is only the beginning of COPD research and exploration. In the future, it is also expected that through the construction and exploration of the platform, homogenized management of patients between hospitals and individualized and precise management of COPD patients can be achieved, and clinicians’ research thinking and research ability can be continuously cultivated to promote the new development of the diagnosis and treatment of chronic obstructive pulmonary disease.展开更多
文摘目的:探讨子宫动脉血流参数联合血小板聚集功能预测不明原因复发性流产(URSA)的价值。方法:将2021年9月至2023年8月本院收治的94例URSA患者作为URSA组,另外将同期在本院进行产检的110例正常妊娠孕妇作为对照组。URSA患者随访至妊娠28周,根据妊娠结局分为正常妊娠组(n = 25)和流产组(n = 69)。比较2组患者子宫动脉血流参数、血小板聚集率;采用受试者工作特性(ROC)曲线评估子宫动脉血流参数、血小板聚集率对URSA患者妊娠结局的预测价值;采用二分类Logistic逐步回归分析探讨URSA患者妊娠结局的影响因素。结果:在搏动指数(PI)、动脉血流阻力指数(RI)、收缩期/舒张期血流速度比值(S/D)、血小板聚集率指标方面,URSA组相较于对照组更高(P P P Objective: To explore the value of the combination of uterine artery flow parameters and platelet aggregation function in predicting unexplained recurrent abortion (URSA). Methods: 94 patients with URSA from September 2021 to August 2023 were selected as the URSA group, and 110 normal pregnant women who underwent prenatal examination were selected as the control group. The URSA patients were followed up until 28 weeks of gestation and divided into the normal pregnancy group (n = 25) and the abortion group (n = 69) according to the pregnancy outcome. The uterine artery blood flow parameters and platelet aggregation rate were compared between the two groups. The predictive value of the uterine artery flow parameters and platelet aggregation rate for the pregnancy outcomes of URSA patients was evaluated by ROC. Binary Logistic stepwise regression was employed to explore the influencing factors of the pregnancy outcomes of URSA patients. Results: The indexes of the pulse index (PI), the arterial flow resistance index (RI), the systolic/diastolic blood flow velocity ratio (S/D), and the platelet aggregation rate in the URSA group were higher than those in the control group (P P P < 0.05). The ROC curve demonstrated that the area under the curve (AUC) (95% CI) of the uterine artery flow parameters, the platelet aggregation rate, and their combined prediction of the pregnancy outcomes of URSA patients were 0.858 (0.807~0.910), 0.764 (0.753~0.816), and 0.903 (0.852~0.955), respectively. Conclusion: The level of the uterine artery blood flow parameters and the increase of the platelet aggregation rate are closely associated with the pregnancy outcome of URSA patients, and the combined value of the two is highly significant in predicting the pregnancy outcome of URSA patients.
文摘慢性阻塞性肺疾病作为呼吸系统疾病的常见病、多发病,其患病率、致残率和死亡率也非常高。然而,在慢性阻塞性肺疾病的诊治中存在一定的问题。本文通过六大模块实现了慢阻肺数据平台的框架建设,提出了平台建设的意义。通过平台的建设,在患者的闭环化管理、患者及家属对疾病管理的依从性、稳定期管理及研究慢阻肺管理新模式方面有着重要的应用前景。平台的建设和应用只是慢阻肺研究和探索的开始,未来也期望通过平台的建设和探索,实现医院间患者的同质化管理、慢阻肺患者的个体化精准化管理,不断培养临床医生研究思维和研究能力,推动慢性阻塞性肺疾病的诊治新发展。Chronic obstructive pulmonary disease (COPD), as a common and frequently-occurring respiratory disease, has a very high morbidity, disability and mortality rate. However, there are some problems in the diagnosis and treatment of chronic obstructive pulmonary disease. This paper realizes the framework construction of COPD data platform through six modules and puts forward the significance of the platform construction. Through the construction of the platform, it has an important application prospect in the closed-loop management of patients, the compliance of patients and their families to disease management, the management of stable period and the research of a new model of COPD management. The construction and application of the platform is only the beginning of COPD research and exploration. In the future, it is also expected that through the construction and exploration of the platform, homogenized management of patients between hospitals and individualized and precise management of COPD patients can be achieved, and clinicians’ research thinking and research ability can be continuously cultivated to promote the new development of the diagnosis and treatment of chronic obstructive pulmonary disease.
