| Literature DB >> 33727593 |
Hyo Suk Nam1, Young Dae Kim1, Joonsang Yoo1,2,3, Hyungjong Park1,4, Byung Moon Kim5, Oh Young Bang6, Hyeon Chang Kim7, Euna Han8, Dong Joon Kim5, Joonyung Heo1, Minyoung Kim1, Jin Kyo Choi1, Kyung-Yul Lee9, Hye Sun Lee10, Dong Hoon Shin11, Hye-Yeon Choi12, Sung-Il Sohn4, Jeong-Ho Hong4, Jong Yun Lee13, Jang-Hyun Baek13,14, Gyu Sik Kim2, Woo-Keun Seo6, Jong-Won Chung6, Seo Hyun Kim15, Tae-Jin Song16, Sang Won Han17, Joong Hyun Park17, Jinkwon Kim18,3, Yo Han Jung9,19, Han-Jin Cho20, Seong Hwan Ahn21, Sung Ik Lee22, Kwon-Duk Seo2,22, Ji Hoe Heo23.
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.Entities:
Mesh:
Year: 2021 PMID: 33727593 PMCID: PMC7966783 DOI: 10.1038/s41598-021-85390-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379