| Literature DB >> 27005816 |
Christopher G K M Soo1, Paul K Della Torre2, Tristan J Yolland3, Michael A Shatwell4.
Abstract
BACKGROUND: Femoral neck fractures in the elderly make up a large proportion of Orthopaedic surgical admissions each year. Operating on patients with clopidogrel poses a challenge because of the risk of bleeding and the difficulty deciding the optimal timing of surgery. The aim of this systematic review is to examine the published evidence to establish a set of guidelines for approaching neck of femur patients who are on clopidogrel.Entities:
Keywords: Anticoagulant; Clopidogrel; Hip fracture; Orthopaedics; Surgical blood loss
Mesh:
Substances:
Year: 2016 PMID: 27005816 PMCID: PMC4804516 DOI: 10.1186/s12891-016-0988-9
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.362
Fig. 1Flow diagram of literature search
Study characteristics and key results
| Report | Type of study | Study size | Clopidogrel group- (n) | Control/Non-clopidogrel group- (n) | Key results |
|---|---|---|---|---|---|
| Harty et al. 2007 [ | Case-control (Retrospective) | 180 | 21 | 159 | Higher mortality rate in CG than NCG ( |
| Johansen et al. 2008 [ | Case-control (Retrospective) | 17 | (<5 days) 7 | Less drop in Hb in the CG > 5 group ( | |
| Sim and Gonski 2009 [ | Case-control (Retrospective) | 135 | 21 | 114 | No significant difference in all outcomes for: |
| Cox et al 2009 [ | Case-control | 20 | (<7 days) 11 | Less drop in Hb in the CG >7 group (p < 0.05) | |
| Nydick et al. 2010 [ | Case-control (Retrospective) | 50 | (23 | 27 | No significant difference in outcomes between CG and NCG |
| Chechik et al. 2011 [ | Case-control (Prospective) | 51 | 29 | 22 | Significantly more blood loss in patients on Clopidogrel |
| Wallace et al. 2012 [ | Case-control (Retrospective) | 110 | 52 | 58 | Statistically significant higher transfusion rates in CG (56 % CG vs 31 % NCG, |
| Collinge et al. 2012 [ | Case-control (Retrospective) | 659 | 40 | 619 | No significant difference in outcomes between CG and NCG |
| Chechik et al. 2012 [ | Case-control (Retrospective) | 60 | (<5 days) 30 | No significant difference in outcomes between | |
| Hossain et al. 2013 [ | Case-control (Retrospective) | 102 | 50 | 52 | No significant difference in outcomes between CG and NCG |
| Feely et al. 2013 [ | Case-control (Retrospective) | 120 | 40 | 80 | No significant difference in outcomes between CG and NCG |
| Al Khudairy et al. 2013 [ | Case-control (Retrospective) | 47 | (<5 days) 24 | No significant difference in outcomes between | |
| Wordsworth et al. 2013 [ | Case-control (Prospective) | 1225 | 30 | 1195 | No significant difference in outcomes between CG and NCG |
| Manaqibwala et al. 2014 [ | Case-control (Retrospective) | 162 | 15 | 147 | No significant difference in time to outcomes between CG and NCG |
Primary outcome data
| CG transfusion exposures/total pt | NCG transfusion exposures/total pt |
| CG mean total units transfused per patienta | NCG mean total units transfused per patienta |
| CG postop Hb | NCG postop Hb |
| CG drop in Hb | NCG drop in Hb |
| |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Harty et al 2007 [ | 9.8 | 9.6 | 0.68 | |||||||||
| Johansen et al 2008 [ | 1.0 | 0.2 | - | 3.7 | 2.4 | 0.01 | ||||||
| Sim and Gonski 2009 [ | 4/21 | 37/114 | 0.30 | 10.7 (1.7) | 10.3 (1.6) | 0.44 | ||||||
| Sim and Gonski 2009 [ | 2/16 | 2/5 | >0.05 | 10.3 | 10.9 | >0.05 | ||||||
| Cox et al 2009 [ | 0.9 | 0.2 | 3.1 | 1.8 | <0.05 | |||||||
| Nydick et al 2010 [ | 16/23 | 12/27 | 0.13 | 1.50 | 1.77 | 0.54 | ||||||
| Chechik et al 2011 [ | 1.38 (0.98) | 1.09 (1.38) | >0.05 | |||||||||
| Wallace et al 2012 [ | 29/52 | 18/58 | 0.01 | 9 (1.9) | 9.5 (1.7) | 0.41 | ||||||
| Collinge et al 2012 [ | 22/40 | 342/619 | 0.89 | 1.4 (1.7) | 1.5 (2.3) | 0.50 | 10.1 (1.2) | 10.2 (1.2) | 0.52 | |||
| Chechik et al 2012 [ | 6/30 | 9/30 | 0.38 | 0.37 | 0.47 | 0.64 | 2.6 | 1.8 | 0.19 | |||
| Hossain et al 2013 [ | 4/50 | 2/52 | 0.37 | 2.0 (0) | 2.5 (0.7) | 0.16 | 10.8 (1.5) | 11.1 (1.5) | 0.37 | |||
| Feely et al 2013 [ | 9/40 | 14/80 | 0.51 | 2.1 (2.1) | 2.1 (3.5) | 0.49 | 9.1 (1.2) | 9.0 (1.1) | 0.64 | 3.0 (1.7) | 3.5 (1.6) | 0.08 |
| Al Khudairy et al 2013 [ | 6/24 | 8/23 | >0.05 | 0.8 (1.6) | 0.7 (1.1) | >0.05 | 1.5 | 1.1 | >0.05 | |||
| Wordsworth et al 2013 [ | 9/30 | 309/1195 | 0.67 | 0.67 | 0.55 | 0.54 | ||||||
| Manaqibwala et al 2014 [ | 0.9 (1.1) | 0.6 (1.4) | 0.23 | 10.3 (2.2) | 11.4 (1.5) | 0.07 | 0.8 (1.0) | 0.6 (1.3) | 0.32 |
aValues are mean (Standard Deviation)
Secondary outcome data
| Average time to theatre (days): CG/NCG |
| Length of hospital stay (days): CG/NCG |
| Complications | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Haematoma/Haemorrhage (n)a: CG/NCG |
| Cardiovasc cerebrovasc/TE (n): CG/NCG |
| Death within 30 days (n):CG/NCG |
| |||||
| Harty et al 2007 [ | 7.2/2.1 | 0.03 | 7.4/3.1 | 0.02 | 6/6 | 0.003 | ||||
| Johansen et al 2008 [ | 2.7/7.3 | 0/2 | ||||||||
| Sim and Gonski 2009 [ | 3.5 (3.2)/0.9 (0.8) | <0.001 | 23.1 (17.7)/22.6 (21.4) | 0.92 | 1/1 | 1/2 | ||||
| Cox et al 2009 [ | 25/30 | <0.05 | 2/0 | 2/1 | ||||||
| Nydick et al 2010 [ | 1.88/1.68 | 0.64 | 0/0 | 1/1 | 0/1 | 0.35 | ||||
| Chechik et al 2011 [ | 2.5 (1.5)/1.6 (0.96) | 0.003 | 1/1 | 6/1 | 0/0 | |||||
| Wallace et al 2012 [ | ||||||||||
| Collinge et al 2012 [ | 6.0 (3.4)/5.6 (4.0) | 0.61 | 0/10 | 0.89 | 0/9 | 0.95 | 3/39 | 0.23 | ||
| Chechik et al 2012 [ | 1.7 (1)/7.5 (2.71) | <0.001 | 11.1 (4.8)/17.7 (7.2) | 0.0002 | 1/3 | 0.50 | 3/5 | 0.49 | 0/2 | 0.16 |
| Hossain et al 2013 [ | 17.3 (13.3)/20.5 (16.6) | 0.28 | 3/1 | 0.36 | 0/0 | |||||
| Feely et al 2013 [ | 1.1 (0.7)/1.3 (1.3) | 0.77 | 2/3 | 1.00 | 10/10 | 0.28 | 11/23 | 0.23 | ||
| Al Khudairy et al 2013 [ | 4.2 (1)/8 (1) | <0.05 | 21.2 (11.9)/28.7 (16.4) | >0.05 | 0/0 | 0/2 | 2/4 | |||
| Wordsworth et al 2013 [ | 1.2/1.2 | 0.91 | 0/2 | 1.00 | 2/74 | 0.71 | ||||
| Manaqibwala et al 2014 [ | 2.3 (2.0)/1.9 (2.9) | 0.25 | 10.6 (5.6)/7.4 (7.6) | 0.04 | 1/2 | 0.25 | 2/6 | 1.00 | 1/6 | 0.24 |
Values are mean (Standard Deviation)
aHaemorrhage includes serious bleeding such as GI Bleed or Intracranial Haemorrhage
Fig. 2Meta-analysis of clopidogrel group and non-clopidogrel group: transfusions exposures
Fig. 3Meta-analysis of clopidogrel group and non-clopidogrel group: total units transfused per patient
Fig. 4Meta-analysis of clopidogrel group and non-clopidogrel group: postoperative haemoglobin
Fig. 5Meta-analysis of clopidogrel group and non-clopidogrel group: drop in haemoglobin