Hematocrit Predicts Poor Prognosis in Patients with Acute Ischemic Stroke or Transient Ischemic Attack

Author:

Cui Lingyun1ORCID,Feng Yefang2,Lu Ping1,Wang Anxin3,Li Zixiao134,Wang Yongjun1345

Affiliation:

1. Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China

2. The Second People’s Hospital of Huludao, Huludao 125003, China

3. China National Clinical Research Center for Neurological Diseases, Beijing 100070, China

4. Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, 2019RU018, Beijing 100070, China

5. Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China

Abstract

This study aims to investigate the association between HCT (Hematocrit) levels and adverse outcomes in patients with acute ischemic stroke (AIS) or transient ischemic attack (TIA); 14,832 participants from the China National Stroke Registry-III with AIS or TIA were analyzed. Participants were categorized into quartiles based on baseline HCT levels. The primary outcome was poor functional outcomes (modified Rankin Scale ≥ 3) during three months, with secondary outcomes including all-cause death, stroke recurrence, and combined vascular events. Logistic regression or Cox regression models were used to assess the relationship between HCT and clinical outcomes. Compared to the third quartile, patients in the lowest quartile group showed increased risk of poor functional outcome (adjusted OR: 1.35, 95% CI: 1.15–1.58, p < 0.001), patients in the lowest quartile had a higher risk of all-cause death (adjusted HR: 1.68, 95% CI: 1.06–2.68, p = 0.028), as did those in the highest quartile (adjusted HR: 2.02, 95% CI: 1.26–3.25, p = 0.004). Sensitivity analysis shows that the association of HCT with all-cause death weakened, while the association with poor functional outcome was strengthened after excluding patients with recurrent stroke. Our results indicated that HCT level could be used as a short-term predictor for poor functional outcomes and all-cause death in patients with AIS or TIA.

Funder

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences

National Natural Science Foundation of China

Publisher

MDPI AG

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