Munthe-Kaas Ragnhild, Lydersen Stian, Quinn Terry, Aam Stina, Pendlebury Sarah T, Ihle-Hansen Hege
Department of Medicine, Kongsberg Hospital, Vestre Viken Hospital Trust, Kongsberg, Norway.
Department of Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway.
Cerebrovasc Dis. 2024 Sep 25:1-9. doi: 10.1159/000541565.
We aimed to explore the predictive value of pre-stroke frailty index (FI) on functional dependency and mortality 3 years after stroke.
Based on the Rockwood 36-item FI score, we calculated the pre-stroke FI from medical conditions recorded at baseline in the multicenter prospective Nor-COAST study 2015-2017. Participants with a FI score and a modified Rankin scale (mRS) 0-6 3 years post-stroke were included in this study. We used logistic regression analysis with unfavorable mRS (over 2 vs. 0-2) at 3 years, or dead within 3 years, as dependent variable, and frailty and pre-stroke mRS, one at a time, and simultaneously, as predictors. The analyses were carried out unadjusted and adjusted for the following variables one at a time: Age, sex, years of education, stroke severity at admission, infections treated with antibiotics and stroke progression. We report odds ratio (OR) per 0.10 increase in FI.
At baseline, the 609 included patients had mean age 72.8 (standard deviation [SD] 11.8), 261 (43%) were females, and had a FI mean score of 0.16 (SD 0.12), range 0-0.69. During 3 years, 138 (23%) had died. Both the FI, and pre-stroke mRS, were strong predictors for unfavorable mRS (OR 4.1 and 2.7) and dead within 3 years (OR 2.2 and 1.7). Only adjusting for age affected the result. The OR for pre-stroke mRS decreased relatively more than the OR for FI when entered as predictors simultaneously.
FI is a stronger predictor than premorbid mRS for prognostication after stroke.
我们旨在探讨卒中前衰弱指数(FI)对卒中后3年功能依赖和死亡率的预测价值。
基于Rockwood 36项FI评分,我们根据2015 - 2017年多中心前瞻性Nor - COAST研究基线记录的医疗状况计算卒中前FI。本研究纳入了卒中后3年有FI评分且改良Rankin量表(mRS)为0 - 6分的参与者。我们以3年时不良mRS(大于2分与0 - 2分相比)或3年内死亡作为因变量,分别将衰弱和卒中前mRS作为预测因素进行逻辑回归分析,同时也将两者同时作为预测因素进行分析。分析在未调整以及一次对以下变量进行调整的情况下进行:年龄、性别、受教育年限、入院时卒中严重程度、接受抗生素治疗的感染以及卒中进展情况。我们报告FI每增加0.10的比值比(OR)。
基线时,纳入的609例患者平均年龄为72.8岁(标准差[SD] 11.8),261例(43%)为女性,FI平均评分为0.十六(SD 0.12),范围为0 - 0.69。在3年期间,138例(23%)死亡。FI和卒中前mRS均是不良mRS(OR分别为4.1和2.7)以及3年内死亡(OR分别为2.2和1.7)的强预测因素。仅调整年龄会影响结果。当同时作为预测因素纳入时,卒中前mRS的OR下降幅度相对大于FI的OR。
对于卒中后的预后,FI比病前mRS是更强的预测因素。