| Literature DB >> 31022899 |
Anneka Mitchell1,2, Margaret C Watson3, Tomas Welsh4,5, Anita McGrogan6.
Abstract
Older people, are underrepresented in randomised controlled trials of direct oral anticoagulants (DOACs) for stroke prevention in atrial fibrillation (AF). The aim of this study was to combine data from observational studies to provide evidence for the treatment of people aged ≥75 years. Medline, Embase, Scopus and Web of Science were searched. The primary effectiveness outcome was ischaemic stroke. Safety outcomes were major bleeding, intracranial haemorrhage, gastrointestinal bleeding, myocardial infarction, and mortality. Twenty-two studies were eligible for inclusion. Two studies related specifically to people ≥75 years but were excluded from meta-analysis due to low quality; all data in the meta-analyses were from subgroups. The pooled risk estimate of ischaemic stroke was slightly lower for DOACs. There was no significant difference in major bleeding, mortality, or myocardial infarction. Risk of intracranial haemorrhage was 44% lower with DOACs, but risk of GI bleeding was 46% higher. Our results suggest that DOACs may be preferable for the majority of older patients with AF, provided they are not at significant risk of a GI bleed. However, these results are based entirely on data from subgroup analyses so should be interpreted cautiously. There is a need for adequately powered research in this patient group.Entities:
Keywords: aged; anticoagulants; atrial fibrillation; hemorrhage; stroke
Year: 2019 PMID: 31022899 PMCID: PMC6518135 DOI: 10.3390/jcm8040554
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Figure 1Study Selection.
Quality assessment of included studies based on the modified Newcastle–Ottawa scoring system (Appendix B). Red = low quality, Amber = medium quality, and Green = high quality for each individual domain. Ordered by score (high to low) then alphabetically by author (A–Z).
| Score per Modified NOS Domain | Total | Comments | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Author, Year | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | ||
| Lau, 2017 | 2 | 1 | 2 | 1 | 2 | 1 | 2 | 0 | 11 | |
| Halvorsen, 2017 | 2 | 1 | 2 | 0 | 2 | 1 | 2 | 0 | 10 | No demonstration that outcome was not present at start of study. |
| Li X, 2017 | 2 | 1 | 2 | 0 | 2 | 1 | 2 | 0 | 10 | No demonstration that outcome was not present at start of study. |
| Maura, 2015 | 2 | 1 | 1 | 0 | 2 | 1 | 2 | 1 | 10 | Intention to treat approach stated so exposure assumed to continue from index date until censored. No demonstration that outcome was not present at start of study. |
| Friberg, 2017 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 1 | 9 | Exposure monitoring after initial fill date not stated. No demonstration that outcome was not present at start of study. |
| Hernandez, 2015 | 1 | 1 | 2 | 0 | 2 | 1 | 2 | 0 | 9 | Used a 5% sample of Medicare patients, so unclear how representative of US population as a whole. No demonstration that outcome was not present at start of study. |
| Chan YH, 2016 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 8 | Exposure monitoring after initial fill date not stated. No demonstration that outcome was not present at start of study. |
| Forslund, 2017 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 8 | No demonstration that outcome was not present at start of study. |
| Lauffenburger, 2015 | 1 | 1 | 1 | 0 | 2 | 1 | 2 | 0 | 8 | Commercially insured population may not be truly representative of average US population. Exposure monitoring after initial fill date not stated. No demonstration that outcome was not present at start of study |
| Nielsen, 2017 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 8 | Exposure monitoring after initial fill date not stated. No demonstration that outcome was not present at start of study. |
| Nishtala, 2016 | 1 | 1 | 2 | 0 | 2 | 1 | 1 | 0 | 8 | Only includes patients with a hospital admission in the 5 years prior to study entry, so potentially represents sicker patients than in the average population. No demonstration that outcome was not present at start of study. |
| Norby, 2017 | 1 | 1 | 1 | 0 | 2 | 1 | 2 | 0 | 8 | Exposure monitoring after initial fill date not stated. No demonstration that outcome was not present at start of study. |
| Seeger, 2015 | 1 | 1 | 2 | 0 | 2 | 1 | 1 | 0 | 8 | Predominantly commercially insured patients only, so may not be truly representative of average US population. No demonstration that outcome was not present at start of study. |
| Abraham, 2015 | 1 | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 7 | Does not include Medicare patients, so may not represent older population well. Length of follow-up not stated, so unclear if long enough for outcomes to occur. No demonstration that outcome was not present at start of study. |
| Adeboyeje, 2017 | 1 | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 7 | Commercially insured patients only, so may not be truly representative of average US population. No demonstration that outcome was not present at start of study. |
| Avgil-Tsadok, 2016 | 1 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 7 | Only represents patients diagnosed with AF as inpatients, so may not be truly representative. No demonstration that outcome was not present at start of study. |
| Bengtson, 2017 | 1 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 7 | Exposure monitoring after initial fill date not stated. No demonstration that outcome was not present at start of study. |
| Cha, 2017 | 2 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 7 | Intention to treat approach stated, so exposure assumed to continue from index date until censored. Propensity score used in analysis to adjust for confounders. However, it seems to include CHADS2-VASC2 score as the only variable. |
| Go, 2017 | 1 | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 7 | Predominantly privately insured population, so may not represent average US population. |
| Graham, 2014 | 1 | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 7 | Included only Medicare patients, so may not represent average US population. Follow-up duration not explicitly stated. However, sensitivity analysis for different lengths of follow-up did not affect results. |
| Kwon, 2016 | 0 | 1 | 1 | 0 | 0 | 2 | 1 | 0 | 5 | Data from one hospital only. No description of how exposure was measured. Limited attempts to control for confounding. No demonstration that outcome was not present at start of study. |
| Chan PH, 2016 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 4 | Data from one hospital only. No description of how exposure was measured. Limited attempts to control for confounding. |
| Modified Newcastle–Ottawa scale (NOS) domains: | ||||||||||
| Selection | Comparability | Outcome | ||||||||
Figure 2Meta-analysis of observational studies on ischaemic stroke stratified by direct oral anticoagulant (DOAC), then grouped by age band and DOAC dose. New users = no previous use of VKA, and switchers = previous use of VKA prior to starting DOAC. Effect sizes reported are hazard ratios. Sex is male and female unless otherwise stated.
Figure 3Meta-analysis of observational studies on composite effectiveness outcomes stratified by DOAC, then grouped by age band and DOAC dose. HS = haemorrhagic stroke, ICH = intracranial haemorrhage, IS = ischaemic stroke, RI = retinal infarct, SE = systemic embolism, TIA = transient ischaemic attack, and US = unspecified stroke. Effect sizes reported are hazard ratio. Sex is male and female unless otherwise stated.
Figure 4Meta-analysis of observational studies on composite safety outcomes stratified by DOAC, then grouped by age band and DOAC dose. CRNMB = clinically-relevant non-major bleeding, GI = gastrointestinal bleeding, HS = haemorrhagic stroke, IC = intracranial haemorrhage, and MB = major bleeding. Effect sizes reported are hazard ratio. Sex is male and female unless otherwise stated.
Figure 5Meta-analysis of observational studies on major bleeding stratified by DOAC, then grouped by age band and DOAC dose. Effect sizes reported are hazard ratios, except where ^ = sub-hazard ratio, and * = incident rate ratio. Sex is male and female unless otherwise stated.
Figure 6Meta-analysis of observational studies on mortality stratified by DOAC, then grouped by age band and DOAC dose. Effect sizes reported are hazard ratios, except where ^ = sub-hazard ratio. Sex is male and female unless otherwise stated.
Figure 7Meta-analysis of observational studies on myocardial infarction stratified by DOAC, then grouped by age band and DOAC dose. New users = no previous use of VKA, and switchers = previous use of VKA prior to starting DOAC. Effect sizes reported are hazard ratios. Sex is male and female unless otherwise stated.
Figure 8Meta-analysis of observational studies on intracranial haemorrhage stratified by DOAC, then grouped by age band and DOAC dose. New users = no previous use of VKA, and switchers = previous use of VKA prior to starting DOAC. Effect sizes reported are hazard ratios. Sex is male and female unless otherwise stated.
Figure 9Meta-analysis of observational studies on gastrointestinal bleeding stratified by DOAC, then grouped by age band and DOAC dose. New users = no previous use of VKA, and switchers = previous use of VKA prior to starting DOAC. Effect sizes reported are hazard ratios, except where * = incident rate ratio. Sex is male and female unless otherwise stated.