{"doi":"10.1159/000517416","title":"Long-Term Risk of Ischemic Stroke among Elderly Survivors of Non-Traumatic Subarachnoid Hemorrhage","abstract":"INTRODUCTION: Non-traumatic subarachnoid hemorrhage (SAH) is associated with poor long-term functional outcomes, but the risk of ischemic stroke among SAH survivors is poorly understood. OBJECTIVES: The aim of this study was to evaluate the risk of ischemic stroke among survivors of SAH. METHODS: We performed a retrospective cohort study using claims data from Medicare beneficiaries from 2008 to 2015. The exposure was a diagnosis of SAH, while the outcome was an acute ischemic stroke, both identified using previously validated ICD-9-CM diagnosis codes. We used Cox regression analysis adjusting for demographics and stroke risk factors to evaluate the association between SAH and long-term risk of ischemic stroke. RESULTS: Among 1.7 million Medicare beneficiaries, 912 were hospitalized with non-traumatic SAH. During a median follow-up of 5.2 years (IQR, 2.7-6.7), the cumulative incidence of ischemic stroke was 22 per 1,000 patients per year among patients with SAH, and 7 per 1,000 patients per year in those without SAH. In adjusted Cox models, SAH was associated with an increased risk of ischemic stroke (HR, 2.0; 95% confidence interval, 1.4-2.8) as compared to beneficiaries without SAH. Similar results were obtained in sensitivity analyses, when treating death as a competing risk (sub HR, 3.0; 95% CI, 2.8-3.3) and after excluding ischemic stroke within 30 days of SAH discharge (HR, 1.5; 95% CI, 1.1-2.3). CONCLUSIONS: In a large, heterogeneous national cohort of elderly patients, survivors of SAH had double the long-term risk of ischemic stroke. SAH survivors should be closely monitored and risk stratified for ischemic stroke.","journal":"Cerebrovascular Diseases","year":2021,"id":212035,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8336,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":278961,"name":"Neal S. Parikh","orcid":"0000-0002-8802-2380","position":1,"is_corresponding":false},{"id":278962,"name":"Alexander E. Merkler","orcid":"0000-0002-2211-299X","position":2,"is_corresponding":false},{"id":460711,"name":"Judy H. Ch’ang","orcid":"0000-0001-9017-9830","position":3,"is_corresponding":false},{"id":278960,"name":"Babak B. Navi","orcid":"0000-0001-8424-6128","position":4,"is_corresponding":false},{"id":109055,"name":"Hooman Kamel","orcid":"0000-0002-5745-0307","position":5,"is_corresponding":false},{"id":278964,"name":"Cenai Zhang","orcid":"0000-0001-8137-1644","position":6,"is_corresponding":false},{"id":301019,"name":"Santosh B. Murthy","orcid":"0000-0002-4950-0992","position":7,"is_corresponding":false},{"id":802017,"name":"Melvin Parasram","orcid":"0000-0002-2981-2307","position":0,"is_corresponding":true}],"reference_count":29,"raw_metadata":null,"created_at":"2026-07-18T23:52:23.670339Z","pmid":"34265782","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}