Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression
Ping Wang,* Mengchao Wang,* Zhe Xie,* Zhongwen Zhi, Yuqian Wang, Fan Liu, Yufeng Liu, Liandong Zhao Department of Neurology, the Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, Jiangsu, People’s Republic of China*These authors contributed equally to...
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2025-01-01
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| author | Wang P Wang M Xie Z Zhi Z Wang Y Liu F Liu Y Zhao L |
| author_facet | Wang P Wang M Xie Z Zhi Z Wang Y Liu F Liu Y Zhao L |
| author_sort | Wang P |
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| description | Ping Wang,* Mengchao Wang,* Zhe Xie,* Zhongwen Zhi, Yuqian Wang, Fan Liu, Yufeng Liu, Liandong Zhao Department of Neurology, the Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, Jiangsu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yufeng Liu; Liandong Zhao, Department of Neurology, The Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, Jiangsu, People’s Republic of China, Email lyf996226@163.com; zld202109@163.comPurpose: Research suggests that insulin resistance (IR) is associated with acute ischemic stroke (AIS) and depression. The use of insulin-based IR assessments is complicated. Therefore, we explored the relationship between four non-insulin-based IR indices and post-stroke depression (PSD).Patients and Methods: A total of 638 consecutive AIS patients were enrolled in this prospective cohort study. Clinical data were collected to compute indices such as the triglyceride glucose (TyG) index, triglyceride glucose-body mass index (TyG-BMI), insulin resistance metabolic score (METS-IR), and triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C). One month post-stroke, neuropsychological assessments were conducted using the 17-item Hamilton Depression Scale. Binary logistic regression analysis was performed to explore the relationship between the four non-insulin-based IR indices and PSD.Results: Ultimately, 381 patients completed the 1-month follow-up, including 112 (29.4%) with PSD. The PSD group exhibited significantly higher levels of the four IR indices compared to the non-PSD group. Logistic regression analysis demonstrated that these indicators were independently associated with PSD occurrence, both before and after adjusting for potential confounders (all P < 0.001). Tertile analyses indicated that the highest tertile group had a greater risk of PSD occurrence than the lowest tertile group for four IR indicators, even after adjusting for potential confounders (all P < 0.05). Restricted cubic spline analysis revealed a linear dose-response relationship between the four IR indices and PSD. In the subgroup analysis, only the TyG index showed a significant interaction with diabetes (P for interaction = 0.014). The area under curve values for the TyG index, TyG-BMI, METS-IR, and TG/HDL-C were 0.700, 0.721, 0.711, and 0.690, respectively.Conclusion: High TyG index, TyG-BMI, METS-IR, and TG/HDL-C at baseline were independent risk factors for PSD in AIS. Each of these indicators exhibits predictive value for PSD occurrence, aiding in the early identification of high-risk groups.Keywords: acute ischemic stroke, post-stroke depression, insulin resistance, non-insulin-based insulin resistance indices |
| format | Article |
| id | doaj-art-fe6c4933e96d4a37a75cf94ca5d42861 |
| institution | Kabale University |
| issn | 1178-1998 |
| language | English |
| publishDate | 2025-01-01 |
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| series | Clinical Interventions in Aging |
| spelling | doaj-art-fe6c4933e96d4a37a75cf94ca5d428612025-01-09T16:58:35ZengDove Medical PressClinical Interventions in Aging1178-19982025-01-01Volume 20193199109Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke DepressionWang PWang MXie ZZhi ZWang YLiu FLiu YZhao LPing Wang,* Mengchao Wang,* Zhe Xie,* Zhongwen Zhi, Yuqian Wang, Fan Liu, Yufeng Liu, Liandong Zhao Department of Neurology, the Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, Jiangsu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yufeng Liu; Liandong Zhao, Department of Neurology, The Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, Jiangsu, People’s Republic of China, Email lyf996226@163.com; zld202109@163.comPurpose: Research suggests that insulin resistance (IR) is associated with acute ischemic stroke (AIS) and depression. The use of insulin-based IR assessments is complicated. Therefore, we explored the relationship between four non-insulin-based IR indices and post-stroke depression (PSD).Patients and Methods: A total of 638 consecutive AIS patients were enrolled in this prospective cohort study. Clinical data were collected to compute indices such as the triglyceride glucose (TyG) index, triglyceride glucose-body mass index (TyG-BMI), insulin resistance metabolic score (METS-IR), and triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C). One month post-stroke, neuropsychological assessments were conducted using the 17-item Hamilton Depression Scale. Binary logistic regression analysis was performed to explore the relationship between the four non-insulin-based IR indices and PSD.Results: Ultimately, 381 patients completed the 1-month follow-up, including 112 (29.4%) with PSD. The PSD group exhibited significantly higher levels of the four IR indices compared to the non-PSD group. Logistic regression analysis demonstrated that these indicators were independently associated with PSD occurrence, both before and after adjusting for potential confounders (all P < 0.001). Tertile analyses indicated that the highest tertile group had a greater risk of PSD occurrence than the lowest tertile group for four IR indicators, even after adjusting for potential confounders (all P < 0.05). Restricted cubic spline analysis revealed a linear dose-response relationship between the four IR indices and PSD. In the subgroup analysis, only the TyG index showed a significant interaction with diabetes (P for interaction = 0.014). The area under curve values for the TyG index, TyG-BMI, METS-IR, and TG/HDL-C were 0.700, 0.721, 0.711, and 0.690, respectively.Conclusion: High TyG index, TyG-BMI, METS-IR, and TG/HDL-C at baseline were independent risk factors for PSD in AIS. Each of these indicators exhibits predictive value for PSD occurrence, aiding in the early identification of high-risk groups.Keywords: acute ischemic stroke, post-stroke depression, insulin resistance, non-insulin-based insulin resistance indiceshttps://www.dovepress.com/association-between-four-non-insulin-based-insulin-resistance-indices--peer-reviewed-fulltext-article-CIAacute ischemic strokepost-stroke depressioninsulin resistancenon-insulin-based insulin resistance indices |
| spellingShingle | Wang P Wang M Xie Z Zhi Z Wang Y Liu F Liu Y Zhao L Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression Clinical Interventions in Aging acute ischemic stroke post-stroke depression insulin resistance non-insulin-based insulin resistance indices |
| title | Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression |
| title_full | Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression |
| title_fullStr | Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression |
| title_full_unstemmed | Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression |
| title_short | Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression |
| title_sort | association between four non insulin based insulin resistance indices and the risk of post stroke depression |
| topic | acute ischemic stroke post-stroke depression insulin resistance non-insulin-based insulin resistance indices |
| url | https://www.dovepress.com/association-between-four-non-insulin-based-insulin-resistance-indices--peer-reviewed-fulltext-article-CIA |
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