Literature DB >> 33148542

Outcomes of Medicare beneficiaries hospitalised with transient ischaemic attack and stratification using the ABCD2 score.

Shreyansh Shah1, Li Liang2, Durgesh Bhandary3, Saga Johansson3, Eric E Smith4, Deepak L Bhatt5, Gregg C Fonarow6, Naeem D Khan3, Eric Peterson2, Janet Prvu Bettger2.   

Abstract

BACKGROUND: Long-term outcomes for Medicare beneficiaries hospitalised with transient ischaemic attack (TIA) and role of ABCD2 score in identifying high-risk individuals are not studied.
METHODS: We identified 40 825 Medicare beneficiaries hospitalised from 2011 to 2014 for a TIA to a Get With The Guidelines (GWTG)-Stroke hospital and classified them using ABCD2 score. Proportional hazards models were used to assess 1-year event rates of mortality and rehospitalisation (all-cause, ischaemic stroke, haemorrhagic stroke, myocardial infarction, and gastrointestinal and intracranial haemorrhage) for high-risk versus low-risk groups adjusted for patient and hospital characteristics.
RESULTS: Of the 40 825 patients, 35 118 (86%) were high risk (ABCD2 ≥4) and 5707 (14%) were low risk (ABCD2=0-3). Overall rate of mortality during 1-year follow-up after hospital discharge for the index TIA was 11.7%, 44.3% were rehospitalised for any reason and 3.6% were readmitted due to stroke. Patients with ABCD2 score ≥4 had higher mortality at 1 year than not (adjusted HR 1.18, 95% CI 1.07 to 1.30). Adjusted risks for ischaemic stroke, all-cause readmission and mortality/all-cause readmission at 1 year were also significantly higher for patients with ABCD2 score ≥4 vs 0-3. In contrast, haemorrhagic stroke, myocardial infarction, gastrointestinal bleeding and intracranial haemorrhage risk were not significantly different by ABCD2 score.
CONCLUSIONS: This study validates the use of ABCD2 score for long-term risk assessment after TIA in patients aged 65 years and older. Attentive efforts for community-based follow-up care after TIA are needed for ongoing prevention in Medicare beneficiaries who were hospitalised for TIA. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  stroke

Mesh:

Year:  2020        PMID: 33148542      PMCID: PMC8258092          DOI: 10.1136/svn-2020-000372

Source DB:  PubMed          Journal:  Stroke Vasc Neurol        ISSN: 2059-8696


Introduction

High prevalence of cardiovascular comorbidities predisposes transient ischaemic attack (TIA) survivors to recurrent adverse events.1 We aim to describe rates of major adverse events 1 year after hospital discharge among Medicare beneficiaries who experienced a TIA and to examine outcome differences among patients stratified by the ABCD2 score. The ABCD2 score has been widely used to identify patients at higher risk of acute recurrent stroke after a TIA.2 However, it has not been used for evaluating long-term risk of other adverse vascular events or mortality after a TIA in Medicare beneficiaries.

Materials and methods and results

Data for patients with an index TIA admission at a participating Get With The Guidelines (GWTG)-Stroke hospitals from 2011 to 2014 were linked with Medicare inpatient claims. Details of the GWTG-Stroke design, linkage with Centres for Medicare and Medicaid Services (CMS) claims data and ascertainment of TIA cases have been previously published.3 Participating hospitals receive either human research approval to enrol cases without individual patient consent under the common rule or a waiver of authorisation by their institutional review board (IRB). The Duke Clinical Research Institute serves as the data analysis centre for the aggregate deidentified data and the IRB at XXXX University has approved this study. Calculation of the ABCD2 score is described in detail in the online supplemental file. ABCD2 ≥4 vs 0–3 threshold was used to risk stratify, as this has been shown to be predictive of higher risk of stroke in previous TIA studies.4 5 Baseline patient and hospital characteristics were obtained from GWTG-Stroke and summarised using standard descriptive statistical techniques. All patients discharged in 2011–2013 were followed up for at least 1 year and Medicare inpatient claim data were used to determine the 1-year clinical endpoints. Patients discharged in 2014 were censored at the earlier date of death or the end of study date of 31 December 2014. The median follow-up time for all 2014 discharges was 184 days. Event rates for 1-year mortality and composite of readmission or mortality outcomes were provided using Kaplan-Meier estimates. For readmission outcomes, estimates were reported from the cumulative incidence functions. The cumulative instance was reported to describe the observed rates of outcomes. For mortality outcomes, the log-rank test was used to compare the difference between ABCD2 ≥4 and 0–3, and for readmission outcomes, the Fine-Gray model was used to account for the competing risk of mortality to readmission. Multivariable proportional hazard (Cox) models were constructed to examine the association of outcomes with ABCD2 score and adjusted for patient and hospital characteristics. Robust SE estimates were used to account for within-hospital clustering. Statistical analyses were performed using SAS software V.9.4 (SAS Institute). P values are based on two-sided tests, with p<0.05 considered statistically significant.

Results

Of 40 825 patients with an index TIA admission, 35 118 (86%) were high risk and 5707 (14%) were low risk. Characteristics for patients with a TIA overall and by ABCD2 score categories are described in table 1. Median age of Medicare beneficiaries with a TIA was 80 years, 81.9% were white and 60.5% were women. Discharge home from the hospital occurred for 81.6% of patients (table 1).
Table 1

Patient and hospital characteristics for Medicare beneficiaries with TIA

VariableOverall (N=40 825)ABCD2 score 0–3 (N=5707)ABCD2 score ≥4 (N=35 118)P value
Demographics
Age in years, median (IQR)80.00 (73–86)80.00 (73–86)80.00 (73–86)0.0247
Sex, %
 Male39.5041.2539.220.0036
Race, %
 Other2.322.142.33<0.0001
 White81.8786.6881.09
 Asian1.181.121.19
 Black10.346.8010.92
 Hispanic4.293.264.46
Medical history, %
 Atrial fibrillation19.2120.6118.990.0040
 Prosthetic heart valve1.852.561.73<0.0001
 Previous stroke/TIA32.0727.2132.86<0.0001
 CAD/prior MI31.9828.4032.56<0.0001
 Carotid stenosis4.595.034.510.0844
 Diabetes mellitus35.3411.9039.15<0.0001
PVD5.164.995.190.5315
 Hypertension80.4175.7581.16<0.0001
 Smoker6.455.876.550.0535
 Dyslipidaemia51.9352.5051.840.3577
 Heart failure9.287.599.55<0.0001
No of prior hospitalisations, median (IQR)0.00 (0.00–1.00)0.00 (0.00–1.00)0.00 (0.00–1.00)0.3529
Discharge status, %
Discharge home81.5589.1580.32<0.0001
Ambulating independently (vs unable or with assistance)74.2482.6972.87<0.0001
Discharge treatment, %
Antihypertensive83.1079.2583.73<0.0001
Cholesterol-lowering medications77.2076.8777.250.5080
Antithrombotics95.5195.9295.440.2728
Defect-free care*90.5591.0090.480.2193
Hospital characteristics
No of hospital beds, median (IQR)319 (223–443)325 (231–484)318 (222–439)<0.0001
No of ischaemic stroke discharges/year, median (IQR)198.25 (135.09–295.18)206.82 (143.82–317.19)196.00 (132.71–293.67)<0.0001
Region
 West11.859.6412.21<0.0001
 South30.6123.8031.72
 Midwest19.1518.5019.25
 Northeast38.3948.0636.82
Teaching hospital, %51.5853.6951.240.0023
Primary stroke centre certification, %44.7942.6345.140.0004
Rural location, %6.104.716.33<0.0001

*Defect-free care is a global quality of care metric. Details provided in the online supplemental material.

CAD, coronary artery disease; HF, heart failure; MI, myocardial infarction; PVD, peripheral vascular disease; TIA, transient ischaemic attack.

Patient and hospital characteristics for Medicare beneficiaries with TIA *Defect-free care is a global quality of care metric. Details provided in the online supplemental material. CAD, coronary artery disease; HF, heart failure; MI, myocardial infarction; PVD, peripheral vascular disease; TIA, transient ischaemic attack. During 1-year follow-up after hospital discharge for the index TIA, 11.7% died and 44.3% were rehospitalised for any reason (table 2, online supplemental figure S1). After risk adjustment, patients with an ABCD2 score ≥4 had a higher risk of 1-year ischaemic stroke (3.7% vs 2.7%; HR 1.25 (95% CI 1.04 to 1.50), all-cause), readmissions (45.1% vs 39.8%; HR 1.08 (1.03 to 1.14)) and mortality (12.0% vs 9.5%; HR 1.18 (1.07 to 1.30)) than patients with an ABCD2 score of 0–3. Additionally, patients with an ABCD2 score >=4 have a higher hazard of each composite endpoint (mortality/ischaemic stroke, mortality/all-cause rehospitalisation and mortality/major vascular event) at 1 year. When stratified by ABCD2 score, there was no difference in the observed rates of 1-year myocardial infarction, haemorrhagic stroke, gastrointestinal bleed or major vascular events.
Table 2

Event rates, unadjusted and adjusted 1-year outcomes comparing TIA patients with ABCD2 ≥4 and 0–3

Outcomes 1 year after TIAOverallABCD2 0–3ABCD2 ≥4UnadjustedHR (95% CI)Adjusted*HR (95% CI)
Ischaemic stroke3.6%2.7%3.7%1.37 (1.15 to 1.64)1.25 (1.04 to 1.50)
Haemorrhagic stroke0.5%0.5%0.5%0.94 (0.63 to 1.42)0.97 (0.63 to 1.47)
Myocardial infarction1.6%1.5%1.6%1.04 (0.82 to 1.32)0.88 (0.68 to 1.13)
Gastrointestinal bleed2.2%2.0%2.2%1.12 (0.90 to 1.38)1.05 (0.84 to 1.31)
Major vascular events†5.6%4.7%5.7%1.21 (1.06 to 1.39)1.10 (0.96 to 1.27)
All-cause readmission44.3%39.8%45.1%1.18 (1.12 to 1.24)1.08 (1.03 to 1.14)
All-cause mortality11.7%9.5%12.0%1.28 (1.16 to 1.41)1.18 (1.07 to 1.30)
Composite mortality or ischaemic stroke14.6%12.1%15.0%1.26 (1.16 to 1.38)1.16 (1.07 to 1.27)
Composite mortality or major vascular event†15.9%13.4%16.3%1.24 (1.14 to 1.35)1.14 (1.05 to 1.24)
Composite mortality or all-cause rehospitalisation47.2%42.2%48.1%1.20 (1.14 to 1.26)1.10 (1.05 to 1.16)

*Covariates used in adjusted models listed in the online supplemental file.

†Major vascular event includes rehospitalisations for ischaemic stroke, haemorrhagic stroke or myocardial infarction.

TIA, transient ischaemic attack.

Event rates, unadjusted and adjusted 1-year outcomes comparing TIA patients with ABCD2 ≥4 and 0–3 *Covariates used in adjusted models listed in the online supplemental file. †Major vascular event includes rehospitalisations for ischaemic stroke, haemorrhagic stroke or myocardial infarction. TIA, transient ischaemic attack.

Discussion

The contemporary data presented here on occurrence of adverse events within 1 year after hospitalisation for TIA in Medicare beneficiaries will be instructive for targeting preventive efforts. We also demonstrated that the ABCD2 score can be used to identify patients at higher risk for ischaemic stroke, all-cause rehospitalisation and mortality even at 1 year following index TIA. Major changes in the management of TIA have occurred in recent years, including urgent management in specialised units and implementation of rapid investigation and algorithms for routine use of preventive treatments.6–9 However, patients with a higher burden of cardiovascular comorbidities continue to suffer from high mortality or rehospitalisation following TIA.1 3 10–12 A previous study of Medicare beneficiaries admitted with TIA at GWTG-Stroke–participating hospitals from 2003 to 2008 showed that patients with TIA at higher risk of adverse outcomes were actually less likely to receive guideline-recommended care.3 Previous studies have shown the association between higher ABCD2 score and increased short-term risk of stroke after TIA.5 Validation studies have shown conflicting results, and the ABCD2 scoring system has not been evaluated for predicting long-term risk.2 13 Our study validates use of the ABCD2 score for long-term risk assessment in a large, US national patient population of patients aged 65 years and older after TIA. This study has several limitations. We analysed data for Medicare fee-for-service beneficiaries who presented to the hospitals participating voluntarily in a quality improvement initiative, which will influence generalisability of the results. It is worth noting that the observed rate of 1-year mortality in our cohort is significantly higher than what was reported in some of the previous studies, likely due to the older population in our cohort. In a study by Olson et al, 3.8% of subjects died within 1 year of hospital discharge after TIA, but the median age was 69 years for patients with TIA in that study compared with 80 years in our study.11 Another study by Amarenco et al estimated 1-year risk of death from any cause in patients with a TIA at 1.8%.10 Again, the average age of patients in this study was 66.1 years compared with 80 years in our study. Diagnosis of TIA was based on standard clinical criteria, and misclassification is possible. Outcomes were identified using only Medicare administrative claims data, although overall accuracy of such approach is high.14 We were also unable to assess potential effects of differential postdischarge care on adverse outcomes.

Summary and conclusion

Enhanced planning of postdischarge care and community-based follow-up may be warranted to ensure continued efforts to prevent adverse events after a hospitalisation for TIA in Medicare beneficiaries. ABCD2 score on admission for Medicare beneficiaries with TIA can be used to identify a vulnerable group of patients at risk for ischaemic stroke, rehospitalisation and death.
  14 in total

1.  Quality of Care and Ischemic Stroke Risk After Hospitalization for Transient Ischemic Attack: Findings From Get With The Guidelines-Stroke.

Authors:  Emily C O'Brien; Xin Zhao; Gregg C Fonarow; Phillip J Schulte; David Dai; Eric E Smith; Lee H Schwamm; Deepak L Bhatt; Ying Xian; Jeffrey L Saver; Mathew J Reeves; Eric D Peterson; Adrian F Hernandez
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2015-10

2.  Five-Year Mortality After Transient Ischemic Attack: Focus on Cardiometabolic Comorbidity and Hospital Readmission.

Authors:  Mohammed Yousufuddin; Nathan Young; Lawrence Keenan; Tammy Olson; Jessica Shultz; Taylor Doyle; Eimad M Ahmmad; Kogulavadanan Arumaithurai; Paul Takahashi; Mohammad Hassan Murad
Journal:  Stroke       Date:  2018-01-16       Impact factor: 7.914

3.  Death and rehospitalization after transient ischemic attack or acute ischemic stroke: one-year outcomes from the adherence evaluation of acute ischemic stroke-longitudinal registry.

Authors:  Daiwai M Olson; Margueritte Cox; Wenqin Pan; Ralph L Sacco; Gregg C Fonarow; Richard Zorowitz; Kenneth A Labresh; Lee H Schwamm; Linda Williams; Larry B Goldstein; Cheryl D Bushnell; Eric D Peterson
Journal:  J Stroke Cerebrovasc Dis       Date:  2012-12-25       Impact factor: 2.136

4.  Systematic review and pooled analysis of published and unpublished validations of the ABCD and ABCD2 transient ischemic attack risk scores.

Authors:  Matthew F Giles; Peter M Rothwell
Journal:  Stroke       Date:  2010-02-25       Impact factor: 7.914

5.  Recurrent stroke risk is higher than cardiac event risk after initial stroke/transient ischemic attack.

Authors:  Devin L Brown; Lynda D Lisabeth; Canopy Roychoudhury; Yining Ye; Lewis B Morgenstern
Journal:  Stroke       Date:  2005-05-05       Impact factor: 7.914

6.  Stratified, urgent care for transient ischemic attack results in low stroke rates.

Authors:  Jason Wasserman; Jeff Perry; Dar Dowlatshahi; Grant Stotts; Ian Stiell; Jane Sutherland; Cheryl Symington; Mukul Sharma
Journal:  Stroke       Date:  2010-10-14       Impact factor: 7.914

7.  Accuracy of ICD-9-CM coding for the identification of patients with acute ischemic stroke: effect of modifier codes.

Authors:  L B Goldstein
Journal:  Stroke       Date:  1998-08       Impact factor: 7.914

8.  Effect of urgent treatment of transient ischaemic attack and minor stroke on early recurrent stroke (EXPRESS study): a prospective population-based sequential comparison.

Authors:  Peter M Rothwell; Matthew F Giles; Arvind Chandratheva; Lars Marquardt; Olivia Geraghty; Jessica N E Redgrave; Caroline E Lovelock; Lucy E Binney; Linda M Bull; Fiona C Cuthbertson; Sarah J V Welch; Shelley Bosch; Faye C Alexander; Faye Carasco-Alexander; Louise E Silver; Sergei A Gutnikov; Ziyah Mehta
Journal:  Lancet       Date:  2007-10-20       Impact factor: 79.321

9.  Five-Year Risk of Stroke after TIA or Minor Ischemic Stroke.

Authors:  Pierre Amarenco; Philippa C Lavallée; Linsay Monteiro Tavares; Julien Labreuche; Gregory W Albers; Halim Abboud; Sabrina Anticoli; Heinrich Audebert; Natan M Bornstein; Louis R Caplan; Manuel Correia; Geoffrey A Donnan; José M Ferro; Fernando Gongora-Rivera; Wolfgang Heide; Michael G Hennerici; Peter J Kelly; Michal Král; Hsiu-Fen Lin; Carlos Molina; Jong Moo Park; Francisco Purroy; Peter M Rothwell; Tomas Segura; David Školoudík; P Gabriel Steg; Pierre-Jean Touboul; Shinichiro Uchiyama; Éric Vicaut; Yongjun Wang; Lawrence K S Wong
Journal:  N Engl J Med       Date:  2018-05-16       Impact factor: 91.245

10.  Monash transient ischemic attack triaging treatment: safety of a transient ischemic attack mechanism-based outpatient model of care.

Authors:  Lauren M Sanders; Velandai K Srikanth; Damien J Jolley; Vijaya Sundararajan; Helen Psihogios; Kitty Wong; David Ramsay; Thanh G Phan
Journal:  Stroke       Date:  2012-09-13       Impact factor: 7.914

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