| Literature DB >> 35275244 |
Rebecca J Mitchell1, Sophie Jakobs2, Nicole Halim2, Hannah Seymour3, Seth Tarrant4,5.
Abstract
PURPOSE: To synthesise the evidence on the impact of pre-operative direct oral anticoagulants (DOACs) on health outcomes for patients who sustain a hip fracture.Entities:
Keywords: Complication; Direct oral anticoagulant; Health outcome; Hip fracture; Surgery
Mesh:
Substances:
Year: 2022 PMID: 35275244 PMCID: PMC9360144 DOI: 10.1007/s00068-022-01937-8
Source DB: PubMed Journal: Eur J Trauma Emerg Surg ISSN: 1863-9933 Impact factor: 2.374
Fig. 1PRISMA flow diagram
Characteristics of studies examining the impact of DOACs on patient health outcomes after hip fracture surgery
| Authors and publication year | Objective/aim | Study type | Country/study time frame | DOAC (s) examined (number of patients by drug) | Comparison population(s) | Population and sample size |
|---|---|---|---|---|---|---|
| Bruckbauer et al. 2019 [ | To assess the impact of DOAC intake compared with coumadin (COU) in hip fracture (HF) patients | Retrospective cohort | Salzburg, Austria Jan 2015–May 2017 | Any DOAC ( | 1. COU 2. no antithrombotic therapy (no-ATT) | Patients ≥ 65 years with a median age of 83.5 years [range 76–89] |
| Cafaro et al. 2019 [ | To establish TTS among non-anticoagulated and anticoagulated patients taking either vitamin K antagonist (VKA) or DOACs | Retrospective cohort | Canada, 1 July 2016–31 Dec 2017 | Any DOAC ( apixaban, | 1. VKA 2. no anticoagulant | Patient inclusion was age ≥ 18 years, but mean age was 84 years [range 29–98] |
| Creeper et al. 2020 [ | To investigate the effect of DOAC therapy on time to surgery and patient outcomes, and to explore the impact of different pre-operative protocols on surgical delay | Retrospective cohort | Australia, 1 Jan 2017–31 Dec 2017 | Any DOAC ( apixaban, | 1. Warfarin 2. antiplatelets 3. dual anticoagulation and antiplatelet 4. no anticoagulation or antiplatelet | Patient inclusion age was not specific, but median age was 84 years [interquartile range: 76–89] |
| Daugaard et al. 2019 [ | To examine if pre-operative antithrombotic treatment was associated with increased use of blood transfusion and 30-day mortality following hip fracture surgery | Retrospective cohort | Denmark, 1 Jan 2005–31 Dec 2016 | Any DOAC—both current (i.e., at least one prescription ≤ 90 days prior to surgery) and former (i.e., redemption of one prescription 91–365 days prior to surgery) users (unspecified number by DOAC type) | 1. VKA; 2. antiplatelets including acetylsalicylic acid; 3. non-user of DOACs in the year prior to surgery | Patients ≥ 65 years. Mean age not specified |
| Franklin et al. 2018 [ | To evaluate the pre-hospital use of DOACs on the outcomes of early surgical fixation of geriatric HF | Retrospective case–control | US, 2010–2015 | Any DOAC ( | 1. Controls (unspecified criteria, but excluded patients on plavix or coumadin or > 81 mg of daily aspirin) matched on age ± 3 years, sex, and operation type (i.e., hemiarthroplasty, cephalomedullary nail (CMN), sliding hip screw | Patients aged 60–89 years who underwent HF surgery within 48 h of admission. Mean age not specified |
| Frenkel Rutenberg et al. 2018 [ | To assess outcomes of patients treated with VKAs or DOACs undergoing surgical treatment for fragility HF | Retrospective cohort | US, Jan 2012–Jun 2016 | Any DOAC ( | 1. VKAs 2. no-anticoagulation | Patients > 65 years with a mean age ~ 82 years |
| Gosch et al. 2020 [ | To compare the short-term outcome of older hip fracture patients without oral anticoagulation, VKAs and DOACs | Retrospective case–control | Germany, Feb 2017–Jun 2018 | Any DOAC (unspecified DOAC type) | 1. No anticoagulants 2. VKA | Patients > 70 years Patient mean age was 83.9 years |
| Hourston et al. 2020 [ | To assess whether HF patients admitted on Warfarin or DOACs were at risk of operative delay, prolonged LOS, or increased mortality | Retrospective cohort | UK, Oct 2014–Dec 2016 | Any DOAC ( | 1. No anticoagulants 2. Warfarin | Inclusion age unspecified Patient mean age was 85 years |
| King et al. 2020 [ | To investigate the effect of DOACs on patient outcomes receiving early (< 48 h) versus delayed (> 48 h) HF surgery | Retrospective cohort | Queensland, Australia; Jan 2012–Dec 2017 | Any DOAC ( | 1.No DOACs matched to TTS < 48 h on age, ASA grade, sex, surgery type (i.e., arthroplasty vs. other fixation), time to surgery (< 48 h) and dementia status | Inclusion age unspecified Mean age ~ 84 years |
| Leer Salvesen et al. 2020 [ | To determine whether DOAC users have delayed HF surgery compared to non-DOAC users and whether hospital LOS, mortality, re-operations and bleeding complications were influenced by use of DOACs | Retrospective cohort | Norway, Dec 2016–Dec 2017 | Any DOAC (unspecified number by DOAC type) | 1. No anticoagulants | Patients aged > 60 years, with a mean age of 82.1 years DOACs; |
| Lott et al. 2019 [ | To evaluate whether patients with HFs receiving platelet aggregation inhibitors (PAI) and DOACs treated within 48 h of admission had worse surgical and clinical outcomes than those whose surgery was delayed > 48 h | Retrospective cohort | US, Oct 2014–Sep 2016 | Any DOAC ( | 1. PAI including clopidogrel and aspirin | Patients ≥ 55 years. However, mean age was ~ 83 years |
| Mahmood et al. 2021 [ | Review whether taking PAIs or anticoagulants was associated with increased mortality for HF patients; and to evaluate the mortality and complication rates for patients taking these agents who underwent early (< 24 h) surgery | Retrospective cohort | UK, Jan 2016–Jan 2019 | Any DOAC (unspecified number by DOAC type) | 1. Control group (no PAI or anticoagulants 2. PAI (i.e., aspirin or clopidogrel) 3. Warfarin | Patients aged ≥ 60 years with a mean age of 82.1 years |
| Mullins et al. 2018 [ | To determine whether not waiting for the elimination of DOACS has an effect on the amount of peri-operative bleeding in HF patients | Retrospective case–control | UK, Jan 2015–March 2017 | Any DOAC ( | 1. Patients not taking DOACs or warfarin (matched on age ± 5 years, sex, operation, American Society of Anesthesiologists (ASA) grade | Patients aged ≥ 60 years with a mean age of 85 years |
| Rostagno et al. 2021 [ | To investigate the effects of ongoing treatment with DOACs on TTS and on in-hospital clinical outcomes in patients with HF | Retrospective case–control | Italy, Jan 2016–Jan 2019 | Any DOAC ( | 1. Patients not taking anticoagulants (matched on age, sex, fracture type, ASA grade | Elderly patients, age unspecified. Mean age was ~ 84 years |
| Saliba et al. 2020 [ | Assess the association between pre-operative DOACs use and adverse outcomes in elderly patients with HF | Retrospective cohort | Israel, 1 Jan 2014–31 Dec 2018 | Any DOACs ( | 1. VKAs 2. no anticoagulants | Patients ≥ 65 years with a mean age of 82.2 years |
| Scherman et al. 2019 [ | To compare estimates of peri-operative blood loss and mortality between HF patients taking DOACs and no anticoagulation | Retrospective cohort | Israel, 2011–2016 | Any DOAC (apixaban, rivaroxaban and dabigatran, unspecified number by DOAC type) Could have concurrent use of aspirin and PAI (clopidogrel, prasugrel, ticagrelor) | 1. control with no anticoagulant use 2. Coumadin | Patients ≥ 65 years who had closed reduction internal fixation (CRIF) or hemiarthroplasty (HA) with a mean age ~ 82 years ( |
| Schuetze et al. 2019 [ | To determine the effect of DOACs on HF patients which received a proximal femur nail anti-rotation (PFNA) within 24 h after trauma | Retrospective cohort | Germany, Jan 2013– Dec 2017 | Any DOACs (unspecified number by DOAC type) | (1) no anticoagulation; (2) acetylsalicylic acid (ASS); (3) PAI; (4) VKA | Patients of all ages, but mean age was 80.7 years |
| Shani et al. 2021 [ | To investigate if patients treated with DOACs have delayed HF surgical compared to patients on no anticoagulants or Warfarin, and if there is an impact on TTS, LOS and mortality | Retrospective cohort | Israel, 1 Jan 2014–31 Dec 2017 | Any DOAC (unspecified number by DOAC type) | 1. No oral anticoagulant; 2. warfarin | Patients > 65 years with a mean age of ~ 83 years |
| Tarrant et al. 2020 [ | To investigate how DOACs affect surgical timing and peri-operative outcomes | Retrospective case–control | Australia; 2011–2018 | Any DOACs ( | 1. control group not taking antithrombotic medication and matched on age, sex, and year of admission | Patients aged ≥ 65 years, with a mean age of 84.3 years |
| Tran et al. 2015 [ | To determine how anticoagulation with VKA or DOAC affects TTS | Case–control | Canada, 1 Jan 2010–24 March 2014 | Any DOAC ( | 1. VKAs 2. no anticoagulants matched on age and sex | Age inclusion criteria not specified, but median age 86 years |
| Viktil et al. 2019 [ | To determine serum concentrations and elimination rates of DOACs in HF patients and TTS | Prospective cohort pilot study | Oslo, Norway (6-month period, dates unspecified) | Any DOAC ( | 1. Warfarin 2. PAI | Patients ≥ 65 years, with a median age 84 years ( |
NR not reported
Quality assessment using the CASP Appraisal Checklist for cohort studies
| Authors and publication year | Q1 | Q2 | Q3 | Q4 | Q5a | Q5b | Q6a | Q6b | Q8 | Q9 | Q10 | Q11 | Q12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bruckbauer et al. 2019 [ | Y | Y | Y | Y | C | C | NA | NA | Y | Y | Y | Y | Y |
| Cafaro et al. 2019 [ | Y | Y | Y | Y | C | C | NA | NA | Y | Y | Y | Y | Y |
| Creeper et al. 2020 [ | Y | Y | Y | Y | C | N | Y | Y | Y | Y | Y | Y | Y |
| Daugaard et al. 2019 [ | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Frenkel Rutenberg et al. 2018 [ | Y | Y | Y | Y | C | C | Y | Y | Y | Y | Y | Y | Y |
| Hourston et al. 2020 [ | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| King et al. 2020 [ | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Leer-Salvesen et al. 2020 [ | Y | Y | Y | Y | N | N | Y | Y | Y | Y | Y | Y | Y |
| Lott et al. 2019 [ | Y | Y | Y | Y | N | N | NA | NA | Y | Y | Y | Y | Y |
| Mahmood et al. 2021 [ | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Saliba et al. 2020 [ | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Scherman et al. 2019 [ | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Schuetze et a. 2019 [ | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Shani et al. 2021 [ | Y | Y | Y | Y | C | C | Y | Y | Y | Y | Y | Y | Y |
| Viktil et al. 2019 [ | Y | Y | Y | Y | C | C | NA | NA | N | C | Y | Y | Y |
Y—yes; N—no; C—cannot tell; NA— not applicable; CI—confidence intervals
The question “What were the results of this study?” has been presented in Table 1 and is therefore not included in this Table 2
Quality assessment using the CASP Appraisal Checklist for case–control and case-comparison matched studies
| Authors and publication year | Q1 | Q2 | Q3 | Q4 | Q5 | Q6a | Q6b | Q7 | Q8 | Q9 | Q10 | Q11 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Franklin et al. 2018 [ | Y | Y | Y | C | Y | Y | Y | C | Y | Y | Y | Y |
| Gosch et al. 2020 [ | Y | Y | Y | C | Y | Y | C | C | C | Y | Y | Y |
| Mullins et al. 2018 [ | Y | Y | Y | C | Y | Y | Y | C | Y | Y | Y | Y |
| Rostagno et al. 2021 [ | Y | Y | Y | Y | Y | Y | C | C | C | Y | Y | Y |
| Tarrant et al. 2020 [ | Y | Y | Y | Y | Y | Y | Y | C | Y | Y | Y | Y |
| Tran et al. 2015 [ | Y | Y | Y | Y | Y | Y | C | C | C | Y | Y | Y |
Y—yes; N—no; C—cannot tell; NA—not applicable; CI—confidence intervals
CASP Appraisal Checklist questions
| 1. Did the study address a clearly focussed issue? | 6b. Was the follow-up of subjects long enough? |
| 2. Was the cohort recruited in an acceptable way? | 7. What are the results of this study? |
| 3. Was the exposure accurately measured to minimise bias? | 8. How precise are the results? |
| 4. Was the outcome accurately measured to minimise bias? | 9. Do you believe the results? |
| 5a. Have the authors identified all important confounding factors? | 10. Can the results be applied to the local population? |
| 5b. Have they taken into account the confounding factors in the design and/or analysis? | 11. Do the results of this study fit with other available evidence? |
| 6a. Was the follow-up of the subjects complete enough? | 12. Does the study have implications for practice? |
CASP Appraisal Checklist questions
| 1. Did the study address a clearly focussed issue? | 6b. Have the authors taken account of the potential confounding factors in the design and/or in their analysis? |
| 2. Did the authors use an appropriate method to answer their question? | 7. How large was the treatment effect? |
| 3. Were the cases recruited in an acceptable way? | 8. How precise was the estimate of the treatment effect? |
| 4. Were the controls selected in an acceptable way? | 9. Do you believe the results? |
| 5. Was the exposure accurately measured to minimise bias? | 10. Can the results be applied to the local population? |
| 6a. Aside from the experimental intervention, were the groups treated equally? | 11. Do the results of this study fit with other available evidence? |