PDF(Pubmed)
Abstract：
UNASSIGNED: The exact link between cognitive impairment (CI) and chronic obstructive pulmonary disease (COPD) is still limited. Thus, we aim to find the relationship and interaction of quantitative CT (QCT), lung function, HIF-1α, and clinical factors with the development of CI among COPD patients.
UNASSIGNED: A cross-sectional multicentre study was conducted from January 2022 to December 2023. We collected clinical data, spirometry, CT images, and venous blood samples from 114 COPD participants. Cognitive impairment assessment using the Montreal Cognitive Assessment Indonesian version (MoCA-Ina) with a cutoff value 26. The QCT analysis consists of lung density, airway wall thickness, pulmonary artery-to-aorta ratio (PA:A), and pectoralis muscles using 3D Slicer software. Serum HIF-1α analysis was performed using ELISA.
UNASSIGNED: We found significant differences between %LAA-950, age, COPD duration, BMI, FEV1 pp, and FEV1/FVC among GOLD grades I-IV. Only education duration was found to correlate with CI (r = 0.40; p < 0.001). We found no significant difference in HIF-1α among GOLD grades (p = 0.149) and no correlation between HIF-1α and CI (p = 0.105). From multiple linear regression, we observed that the MoCA-Ina score was influenced mainly by %LAA-950 (p = 0.02) and education duration (p = 0.01). The path analysis model showed both %LAA and education duration directly and indirectly through FEV1 pp contributing to CI.
UNASSIGNED: We conclude that the utilization of QCT parameters is beneficial as it can identify abnormalities and contribute to the development of CI, indicating its potential utility in clinical decision-making. The MoCA-Ina score in COPD is mainly affected by %LAA-950 and education duration. Contrary to expectations, this study concludes that HIF-1α does not affect CI among COPD patients.
UNASSIGNED: A cross-sectional multicentre study was conducted from January 2022 to December 2023. We collected clinical data, spirometry, CT images, and venous blood samples from 114 COPD participants. Cognitive impairment assessment using the Montreal Cognitive Assessment Indonesian version (MoCA-Ina) with a cutoff value 26. The QCT analysis consists of lung density, airway wall thickness, pulmonary artery-to-aorta ratio (PA:A), and pectoralis muscles using 3D Slicer software. Serum HIF-1α analysis was performed using ELISA.
UNASSIGNED: We found significant differences between %LAA-950, age, COPD duration, BMI, FEV1 pp, and FEV1/FVC among GOLD grades I-IV. Only education duration was found to correlate with CI (r = 0.40; p < 0.001). We found no significant difference in HIF-1α among GOLD grades (p = 0.149) and no correlation between HIF-1α and CI (p = 0.105). From multiple linear regression, we observed that the MoCA-Ina score was influenced mainly by %LAA-950 (p = 0.02) and education duration (p = 0.01). The path analysis model showed both %LAA and education duration directly and indirectly through FEV1 pp contributing to CI.
UNASSIGNED: We conclude that the utilization of QCT parameters is beneficial as it can identify abnormalities and contribute to the development of CI, indicating its potential utility in clinical decision-making. The MoCA-Ina score in COPD is mainly affected by %LAA-950 and education duration. Contrary to expectations, this study concludes that HIF-1α does not affect CI among COPD patients.
摘要：
■认知障碍（CI）与慢性阻塞性肺疾病（COPD）之间的确切联系仍然有限。因此，我们的目标是找到定量CT(QCT)的关系和相互作用，肺功能,HIF-1α,COPD患者CI发展的临床因素。
■从2022年1月至2023年12月进行了横断面多中心研究。我们收集了临床数据,肺活量测定,CT图像,和114名COPD参与者的静脉血样本。使用蒙特利尔认知评估印度尼西亚版本（MoCA-Ina）的认知损害评估，临界值为26。QCT分析包括肺密度，气道壁厚,肺动脉与主动脉的比值（PA：A），和胸肌使用3D切片器软件。使用ELISA进行血清HIF-1α分析。
■我们发现%LAA-950、年龄、COPD持续时间,BMI,FEV1pp,黄金I-IV级中的FEV1/FVC。仅教育持续时间与CI相关（r=0.40；p<0.001）。我们发现HIF-1α在GOLD等级之间没有显着差异（p=0.149），并且HIF-1α与CI之间没有相关性（p=0.105）。从多元线性回归，我们观察到MoCA-Ina评分主要受%LAA-950(p=0.02)和受教育时间(p=0.01)的影响.路径分析模型通过FEV1pp直接和间接地显示了%LAA和教育持续时间对CI的影响。
■我们得出结论，QCT参数的利用是有益的，因为它可以识别异常并有助于CI的发展，表明其在临床决策中的潜在效用。COPD患者MoCA-Ina评分主要受%LAA-950和受教育时间的影响。与预期相反,这项研究得出结论，HIF-1α不影响COPD患者的CI。
■从2022年1月至2023年12月进行了横断面多中心研究。我们收集了临床数据,肺活量测定,CT图像,和114名COPD参与者的静脉血样本。使用蒙特利尔认知评估印度尼西亚版本（MoCA-Ina）的认知损害评估，临界值为26。QCT分析包括肺密度，气道壁厚,肺动脉与主动脉的比值（PA：A），和胸肌使用3D切片器软件。使用ELISA进行血清HIF-1α分析。
■我们发现%LAA-950、年龄、COPD持续时间,BMI,FEV1pp,黄金I-IV级中的FEV1/FVC。仅教育持续时间与CI相关（r=0.40；p<0.001）。我们发现HIF-1α在GOLD等级之间没有显着差异（p=0.149），并且HIF-1α与CI之间没有相关性（p=0.105）。从多元线性回归，我们观察到MoCA-Ina评分主要受%LAA-950(p=0.02)和受教育时间(p=0.01)的影响.路径分析模型通过FEV1pp直接和间接地显示了%LAA和教育持续时间对CI的影响。
■我们得出结论，QCT参数的利用是有益的，因为它可以识别异常并有助于CI的发展，表明其在临床决策中的潜在效用。COPD患者MoCA-Ina评分主要受%LAA-950和受教育时间的影响。与预期相反,这项研究得出结论，HIF-1α不影响COPD患者的CI。
