Comorbidity index for predicting mortality at 6 months after reperfusion therapy
Abstract The eligibility of reperfusion therapy has been expanded to increase the number of patients. However, it remains unclear the reperfusion therapy will be beneficial in stroke patients with various comorbidities. We developed a reperfusion comorbidity index for predicting 6-month mortality in...
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Nature Portfolio
2021
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oai:doaj.org-article:121053f79b114cef8961fae76b0e44182021-12-02T13:17:49ZComorbidity index for predicting mortality at 6 months after reperfusion therapy10.1038/s41598-021-85390-42045-2322https://doaj.org/article/121053f79b114cef8961fae76b0e44182021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85390-4https://doaj.org/toc/2045-2322Abstract The eligibility of reperfusion therapy has been expanded to increase the number of patients. However, it remains unclear the reperfusion therapy will be beneficial in stroke patients with various comorbidities. We developed a reperfusion comorbidity index for predicting 6-month mortality in patients with acute stroke receiving reperfusion therapy. The 19 comorbidities included in the Charlson comorbidity index were adopted and modified. We developed a statistical model and it was validated using data from a prospective cohort. Among 1026 patients in the retrospective nationwide reperfusion therapy registry, 845 (82.3%) had at least one comorbidity. As the number of comorbidities increased, the likelihood of mortality within 6 months also increased (p < 0.001). Six out of the 19 comorbidities were included for developing the reperfusion comorbidity index on the basis of the odds ratios in the multivariate logistic regression analysis. This index showed good prediction of 6-month mortality in the retrospective cohort (area under the curve [AUC], 0.747; 95% CI, 0.704–0.790) and in 333 patients in the prospective cohort (AUC, 0.784; 95% CI, 0.709–0.859). Consideration of comorbidities might be helpful for the prediction of the 6-month mortality in patients with acute ischemic stroke who receive reperfusion therapy.Hyo Suk NamYoung Dae KimJoonsang YooHyungjong ParkByung Moon KimOh Young BangHyeon Chang KimEuna HanDong Joon KimJoonyung HeoMinyoung KimJin Kyo ChoiKyung-Yul LeeHye Sun LeeDong Hoon ShinHye-Yeon ChoiSung-Il SohnJeong-Ho HongJong Yun LeeJang-Hyun BaekGyu Sik KimWoo-Keun SeoJong-Won ChungSeo Hyun KimTae-Jin SongSang Won HanJoong Hyun ParkJinkwon KimYo Han JungHan-Jin ChoSeong Hwan AhnSung Ik LeeKwon-Duk SeoJi Hoe HeoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Hyo Suk Nam Young Dae Kim Joonsang Yoo Hyungjong Park Byung Moon Kim Oh Young Bang Hyeon Chang Kim Euna Han Dong Joon Kim Joonyung Heo Minyoung Kim Jin Kyo Choi Kyung-Yul Lee Hye Sun Lee Dong Hoon Shin Hye-Yeon Choi Sung-Il Sohn Jeong-Ho Hong Jong Yun Lee Jang-Hyun Baek Gyu Sik Kim Woo-Keun Seo Jong-Won Chung Seo Hyun Kim Tae-Jin Song Sang Won Han Joong Hyun Park Jinkwon Kim Yo Han Jung Han-Jin Cho Seong Hwan Ahn Sung Ik Lee Kwon-Duk Seo Ji Hoe Heo Comorbidity index for predicting mortality at 6 months after reperfusion therapy |
description |
Abstract The eligibility of reperfusion therapy has been expanded to increase the number of patients. However, it remains unclear the reperfusion therapy will be beneficial in stroke patients with various comorbidities. We developed a reperfusion comorbidity index for predicting 6-month mortality in patients with acute stroke receiving reperfusion therapy. The 19 comorbidities included in the Charlson comorbidity index were adopted and modified. We developed a statistical model and it was validated using data from a prospective cohort. Among 1026 patients in the retrospective nationwide reperfusion therapy registry, 845 (82.3%) had at least one comorbidity. As the number of comorbidities increased, the likelihood of mortality within 6 months also increased (p < 0.001). Six out of the 19 comorbidities were included for developing the reperfusion comorbidity index on the basis of the odds ratios in the multivariate logistic regression analysis. This index showed good prediction of 6-month mortality in the retrospective cohort (area under the curve [AUC], 0.747; 95% CI, 0.704–0.790) and in 333 patients in the prospective cohort (AUC, 0.784; 95% CI, 0.709–0.859). Consideration of comorbidities might be helpful for the prediction of the 6-month mortality in patients with acute ischemic stroke who receive reperfusion therapy. |
format |
article |
author |
Hyo Suk Nam Young Dae Kim Joonsang Yoo Hyungjong Park Byung Moon Kim Oh Young Bang Hyeon Chang Kim Euna Han Dong Joon Kim Joonyung Heo Minyoung Kim Jin Kyo Choi Kyung-Yul Lee Hye Sun Lee Dong Hoon Shin Hye-Yeon Choi Sung-Il Sohn Jeong-Ho Hong Jong Yun Lee Jang-Hyun Baek Gyu Sik Kim Woo-Keun Seo Jong-Won Chung Seo Hyun Kim Tae-Jin Song Sang Won Han Joong Hyun Park Jinkwon Kim Yo Han Jung Han-Jin Cho Seong Hwan Ahn Sung Ik Lee Kwon-Duk Seo Ji Hoe Heo |
author_facet |
Hyo Suk Nam Young Dae Kim Joonsang Yoo Hyungjong Park Byung Moon Kim Oh Young Bang Hyeon Chang Kim Euna Han Dong Joon Kim Joonyung Heo Minyoung Kim Jin Kyo Choi Kyung-Yul Lee Hye Sun Lee Dong Hoon Shin Hye-Yeon Choi Sung-Il Sohn Jeong-Ho Hong Jong Yun Lee Jang-Hyun Baek Gyu Sik Kim Woo-Keun Seo Jong-Won Chung Seo Hyun Kim Tae-Jin Song Sang Won Han Joong Hyun Park Jinkwon Kim Yo Han Jung Han-Jin Cho Seong Hwan Ahn Sung Ik Lee Kwon-Duk Seo Ji Hoe Heo |
author_sort |
Hyo Suk Nam |
title |
Comorbidity index for predicting mortality at 6 months after reperfusion therapy |
title_short |
Comorbidity index for predicting mortality at 6 months after reperfusion therapy |
title_full |
Comorbidity index for predicting mortality at 6 months after reperfusion therapy |
title_fullStr |
Comorbidity index for predicting mortality at 6 months after reperfusion therapy |
title_full_unstemmed |
Comorbidity index for predicting mortality at 6 months after reperfusion therapy |
title_sort |
comorbidity index for predicting mortality at 6 months after reperfusion therapy |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/121053f79b114cef8961fae76b0e4418 |
work_keys_str_mv |
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