Establishment of a dynamic nomogram including thyroid function for predicting the prognosis of acute ischemic stroke with standardized treatment
PurposeMany patients with acute ischemic stroke (AIS) cannot undergo thrombolysis or thrombectomy because they have missed the time window or do not meet the treatment criteria. In addition, there is a lack of an available tool to predict the prognosis of patients with standardized treatment. This s...
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Frontiers Media S.A.
2023-06-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2023.1139446/full |
| _version_ | 1797803708538421248 |
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| author | Yi Jiang Chunhui Xie Chunhui Xie Guanghui Zhang Mengqian Liu Yiwen Xu Wen Zhong Zhonglin Ge Zhonghai Tao Mingyue Qian Chen Gong Xiaozhu Shen |
| author_facet | Yi Jiang Chunhui Xie Chunhui Xie Guanghui Zhang Mengqian Liu Yiwen Xu Wen Zhong Zhonglin Ge Zhonghai Tao Mingyue Qian Chen Gong Xiaozhu Shen |
| author_sort | Yi Jiang |
| collection | DOAJ |
| description | PurposeMany patients with acute ischemic stroke (AIS) cannot undergo thrombolysis or thrombectomy because they have missed the time window or do not meet the treatment criteria. In addition, there is a lack of an available tool to predict the prognosis of patients with standardized treatment. This study aimed to develop a dynamic nomogram to predict the 3-month poor outcomes in patients with AIS.MethodsThis was a retrospective multicenter study. We collected the clinical data of patients with AIS who underwent standardized treatment at the First People's Hospital of Lianyungang from 1 October 2019 to 31 December 2021 and at the Second People's Hospital of Lianyungang from 1 January 2022 to 17 July 2022. Baseline demographic, clinical, and laboratory information of patients were recorded. The outcome was the 3-month modified Rankin Scale (mRS) score. The least absolute shrinkage and selection operator regression were used to select the optimal predictive factors. Multiple logistic regression was performed to establish the nomogram. A decision curve analysis (DCA) was applied to assess the clinical benefit of the nomogram. The calibration and discrimination properties of the nomogram were validated by calibration plots and the concordance index.ResultsA total of 823 eligible patients were enrolled. The final model included gender (male; OR 0.555; 95% CI, 0.378–0.813), systolic blood pressure (SBP; OR 1.006; 95% CI, 0.996–1.016), free triiodothyronine (FT3; OR 0.841; 95% CI, 0.629–1.124), National Institutes of Health stroke scale (NIHSS; OR 18.074; 95% CI, 12.264–27.054), Trial of Org 10172 in Acute Stroke Treatment (TOAST; cardioembolic (OR 0.736; 95% CI, 0.396–1.36); and other subtypes (OR 0.398; 95% CI, 0.257–0.609). The nomogram showed good calibration and discrimination (C-index, 0.858; 95% CI, 0.830–0.886). DCA confirmed the clinical usefulness of the model. The dynamic nomogram can be obtained at the website: predict model (90-day prognosis of AIS patients).ConclusionWe established a dynamic nomogram based on gender, SBP, FT3, NIHSS, and TOAST, which calculated the probability of 90-day poor prognosis in AIS patients with standardized treatment. |
| first_indexed | 2024-03-13T05:25:00Z |
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| id | doaj.art-1bcd2ae273f3497d843b4d634f7343d4 |
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| language | English |
| last_indexed | 2024-03-13T05:25:00Z |
| publishDate | 2023-06-01 |
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| series | Frontiers in Neurology |
| spelling | doaj.art-1bcd2ae273f3497d843b4d634f7343d42023-06-15T05:58:24ZengFrontiers Media S.A.Frontiers in Neurology1664-22952023-06-011410.3389/fneur.2023.11394461139446Establishment of a dynamic nomogram including thyroid function for predicting the prognosis of acute ischemic stroke with standardized treatmentYi Jiang0Chunhui Xie1Chunhui Xie2Guanghui Zhang3Mengqian Liu4Yiwen Xu5Wen Zhong6Zhonglin Ge7Zhonghai Tao8Mingyue Qian9Chen Gong10Xiaozhu Shen11Department of Geriatrics, Bengbu Medical College Clinical College of Lianyungang Second People's Hospital, Lianyungang, ChinaDepartment of Geriatrics, Bengbu Medical College Clinical College of Lianyungang Second People's Hospital, Lianyungang, ChinaDepartment of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, ChinaDepartment of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, ChinaDepartment of Geriatrics, Lianyungang Second People's Hospital Affiliated to Jiangsu University, Lianyungang, ChinaDepartment of Geriatrics, Lianyungang Second People's Hospital Affiliated to Jiangsu University, Lianyungang, ChinaDepartment of Geriatrics, Lianyungang Second People's Hospital Affiliated to Jiangsu University, Lianyungang, ChinaDepartment of Neurology, Lianyungang Second People's Hospital, Lianyungang, ChinaDepartment of Neurology, Lianyungang Second People's Hospital, Lianyungang, ChinaDepartment of Neurology, Lianyungang Second People's Hospital, Lianyungang, ChinaDepartment of Geriatrics, Lianyungang Second People's Hospital Affiliated to Jiangsu University, Lianyungang, ChinaDepartment of Geriatrics, Bengbu Medical College Clinical College of Lianyungang Second People's Hospital, Lianyungang, ChinaPurposeMany patients with acute ischemic stroke (AIS) cannot undergo thrombolysis or thrombectomy because they have missed the time window or do not meet the treatment criteria. In addition, there is a lack of an available tool to predict the prognosis of patients with standardized treatment. This study aimed to develop a dynamic nomogram to predict the 3-month poor outcomes in patients with AIS.MethodsThis was a retrospective multicenter study. We collected the clinical data of patients with AIS who underwent standardized treatment at the First People's Hospital of Lianyungang from 1 October 2019 to 31 December 2021 and at the Second People's Hospital of Lianyungang from 1 January 2022 to 17 July 2022. Baseline demographic, clinical, and laboratory information of patients were recorded. The outcome was the 3-month modified Rankin Scale (mRS) score. The least absolute shrinkage and selection operator regression were used to select the optimal predictive factors. Multiple logistic regression was performed to establish the nomogram. A decision curve analysis (DCA) was applied to assess the clinical benefit of the nomogram. The calibration and discrimination properties of the nomogram were validated by calibration plots and the concordance index.ResultsA total of 823 eligible patients were enrolled. The final model included gender (male; OR 0.555; 95% CI, 0.378–0.813), systolic blood pressure (SBP; OR 1.006; 95% CI, 0.996–1.016), free triiodothyronine (FT3; OR 0.841; 95% CI, 0.629–1.124), National Institutes of Health stroke scale (NIHSS; OR 18.074; 95% CI, 12.264–27.054), Trial of Org 10172 in Acute Stroke Treatment (TOAST; cardioembolic (OR 0.736; 95% CI, 0.396–1.36); and other subtypes (OR 0.398; 95% CI, 0.257–0.609). The nomogram showed good calibration and discrimination (C-index, 0.858; 95% CI, 0.830–0.886). DCA confirmed the clinical usefulness of the model. The dynamic nomogram can be obtained at the website: predict model (90-day prognosis of AIS patients).ConclusionWe established a dynamic nomogram based on gender, SBP, FT3, NIHSS, and TOAST, which calculated the probability of 90-day poor prognosis in AIS patients with standardized treatment.https://www.frontiersin.org/articles/10.3389/fneur.2023.1139446/fullacute ischemic strokethyroid hormonesdynamic nomogrampredictive modelstandardized treatment |
| spellingShingle | Yi Jiang Chunhui Xie Chunhui Xie Guanghui Zhang Mengqian Liu Yiwen Xu Wen Zhong Zhonglin Ge Zhonghai Tao Mingyue Qian Chen Gong Xiaozhu Shen Establishment of a dynamic nomogram including thyroid function for predicting the prognosis of acute ischemic stroke with standardized treatment Frontiers in Neurology acute ischemic stroke thyroid hormones dynamic nomogram predictive model standardized treatment |
| title | Establishment of a dynamic nomogram including thyroid function for predicting the prognosis of acute ischemic stroke with standardized treatment |
| title_full | Establishment of a dynamic nomogram including thyroid function for predicting the prognosis of acute ischemic stroke with standardized treatment |
| title_fullStr | Establishment of a dynamic nomogram including thyroid function for predicting the prognosis of acute ischemic stroke with standardized treatment |
| title_full_unstemmed | Establishment of a dynamic nomogram including thyroid function for predicting the prognosis of acute ischemic stroke with standardized treatment |
| title_short | Establishment of a dynamic nomogram including thyroid function for predicting the prognosis of acute ischemic stroke with standardized treatment |
| title_sort | establishment of a dynamic nomogram including thyroid function for predicting the prognosis of acute ischemic stroke with standardized treatment |
| topic | acute ischemic stroke thyroid hormones dynamic nomogram predictive model standardized treatment |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2023.1139446/full |
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