Neurology Service, VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Department of Neurology, Center for NeuroEpidemiological and Clinical Neurological Research, Yale University School of Medicine, New Haven, Connecticut, USA.
Stroke Vasc Neurol. 2018 Apr 24;3(3):160-168. doi: 10.1136/svn-2018-000149. eCollection 2018 Sep.
Anaemia is associated with higher mortality among patients with non-stroke cardiovascular conditions; less is known regarding the relationship between anaemia and mortality among patients with acute ischaemic stroke.
Medical records were abstracted for n=3965 veterans from 131 Veterans Health Administration facilities who were admitted with ischaemic stroke in fiscal year 2007. Haematocrit values within 24 hours of admission were classified as ≤27%, 28%-32%, 33%-37%, 38%-42%, 43%-47% or ≥48%. Multivariate logistic regression was used to examine the relationship between anaemia and in-hospital, 30-day, 6-month and 1-year mortality, adjusting for age, medical comorbidities, modified Acute Physiology and Chronic Health Evaluation-III and stroke severity. Impact factors were calculated to standardise comparisons between haematocrit tier and other covariates.
Among n=3750 patients included in the analysis, the haematocrit values were ≤27% in 2.1% (n=78), 28%-32% in 6.2% (n=234), 33%-37% in 17.9% (n=670), 38%-42% in 36.4% (n=1366), 43%-47% in 28.2% (n=1059) and ≥48% in 9.1% (n=343). Patients with haematocrit ≤27%, compared with patients in the 38%-42% range, were more likely to have died across all follow-up intervals, with statistically significant adjusted ORs (aORs) ranging from 2.5 to 3.5. Patients with polycythaemia (ie, haematocrit ≥48%) were at increased risk of in-hospital mortality (aOR=2.9; 95% CI 1.4 to 6.0), compared with patients with mid-range admission haematocrits. Pronounced differences between patients receiving and not receiving blood transfusion limited our ability to perform a propensity analysis. Impact factors in the 1-year mortality model were 0.46 (severe anaemia), 0.06 (cancer) and 0.018 (heart disease).
Anaemia is independently associated with an increased risk of death throughout the first year post stroke; high haematocrit is associated with early poststroke mortality. Severe anaemia is associated with 1-year mortality to a greater degree than cancer or heart disease. These data cannot address the question of whether interventions targeting anaemia might improve patient outcomes.
贫血与非中风心血管疾病患者的死亡率升高有关;但对于贫血与急性缺血性中风患者死亡率之间的关系,我们知之甚少。
从 2007 财年在 131 家退伍军人事务部医疗设施因缺血性中风入院的 3965 名退伍军人的病历中提取数据。入院后 24 小时内的红细胞压积值被分为≤27%、28%-32%、33%-37%、38%-42%、43%-47%或≥48%。采用多变量逻辑回归分析贫血与住院期间、30 天、6 个月和 1 年死亡率之间的关系,调整年龄、合并症、改良急性生理学和慢性健康评估-III 评分和中风严重程度。影响因素用于标准化红细胞压积分层与其他协变量之间的比较。
在纳入分析的 n=3750 名患者中,2.1%(n=78)的红细胞压积值≤27%,6.2%(n=234)的红细胞压积值为 28%-32%,17.9%(n=670)的红细胞压积值为 33%-37%,36.4%(n=1366)的红细胞压积值为 38%-42%,28.2%(n=1059)的红细胞压积值为 43%-47%,9.1%(n=343)的红细胞压积值≥48%。与红细胞压积在 38%-42%范围内的患者相比,红细胞压积值≤27%的患者在所有随访期间死亡的可能性更大,调整后的比值比(aOR)从 2.5 到 3.5 不等。与接受中值入院红细胞压积的患者相比,红细胞压积值过高(即红细胞压积值≥48%)的患者住院期间死亡的风险增加(aOR=2.9;95%CI 1.4 至 6.0)。在接受和未接受输血的患者之间存在显著差异,限制了我们进行倾向分析的能力。在 1 年死亡率模型中,影响因素为 0.46(严重贫血)、0.06(癌症)和 0.018(心脏病)。
贫血与中风后第一年的死亡风险增加独立相关;高红细胞压积与中风后早期死亡相关。严重贫血与 1 年死亡率的关系比癌症或心脏病更为密切。这些数据并不能回答针对贫血进行干预是否可能改善患者预后的问题。