| Literature DB >> 26382761 |
Meng Wang1, Xin-Feng Zheng1, Lei-Sheng Jiang1.
Abstract
BACKGROUND: Routine use of antifibrinolytic agents in spine surgery is still an issue of debate.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26382761 PMCID: PMC4575115 DOI: 10.1371/journal.pone.0137886
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow diagram for study selection process in this meta-analysis.
Characteristics of the Studies Included.
| Author | Year | Age(E/C) | Intervention | Size (E/C) | Dose(loading/ continuous infusion) | Number of levels fused (E/C) | Transfusion trigger | Type | Procedure | Design |
|---|---|---|---|---|---|---|---|---|---|---|
| Khoshhal | 2003 | 14.5/14.1 | aprotinin | 43(15/28) | 4mg/kg+1mg/kg/hr | 10/10 | Hgb < 7g/dL or Hct < 20% | IS | SF | RCT |
| Karapurkar | 2002 | 12–25 | aprotinin | 49(24/25) | 2*10^4 IU/kg+5*10^3 IU/kg/4hr | / | BEBL < 90% or Hct < 30% or Hgb < 10g/dl | KS | SF | RCT |
| Lentschener | 1999 | 46±9/51±11 | aprotinin | 72(35/37) | 2*10^6 KIU/kg+5*10^5 KIU/kg/hr | / | Hct < 26% | AD | SF | RCT |
| Cole | 2003 | 13±4.7/12.2±3.8 | aprotinin | 44(21/23) | 240mg/m2+56mg/m2/hr | 14.5/12.2 | Hgb < 8.5 g/dl or Hct < 27% | NS | SF | RCT |
| Tayyab | 2008 | 47±15/41±15 | aprotinin | 82(41/41) | 2*10^6KIU+5*10^5 KIU/hr | 11.2/10.7 | Hgb < 7g/dL | PS and SS | SF | nRCT |
| Kasimian | 2008 | 12.4/14.8 | aprotinin | 31(14/17) | 2*10^5KIU/kg+5*10^4 KIU/kg/hr | 14.4/15.3 | Hct≤24% | NS | SF | nRCT |
| Xu | 2012 | 19.1±3.2/20.4±3.1 | TXA | 40(20/20) | 20mg/kg+10mg/kg/hr | 12.7/13.1 | Hgb < 8g/dL | AIS | SF | RCT |
| Sethna | 2005 | 13.6±1.8/14.0±2.0 | TXA | 44(23/21) | 100mg/kg+10mg/kg/hr | 14/13 | Hct < 25% | PS and SS | SF | RCT |
| Neilipovitz | 2001 | 14.1±2.1/13.7±2.5 | TXA | 40(22/18) | 10mg/kg+1mg/kg/hr | 15 /14 | Hgb < 7g/dL | PS and SS | SF | RCT |
| Yagi | 2012 | 15.2±2.9/15.5±3.0 | TXA | 106(43/63) | 1g+100mg/hr | 12.2/12.1 | Hgb < 7g/dL | AIS | SF | nRCT |
| Lykissas | 2013 | 14.7(12–19)/13.5(11–16) | TXA | 49(25/24) | 100mg+10mg/hr | 10.7/12.6 | Hgb < 7g/dL | AIS | SF | nRCT |
| Pineda | 2004 | 13.5±1.6/14.5±1.3 | EACA | 36(19/17) | 100mg/kg+10mg/kg/hr | 12/12.1 | Hgb < 7g/dL | IS | SF | RCT |
| Thompson | 2008 | 14.0±2.4/12.3±2.8 | EACA | 96(62/34) | 100mg/kg+10mg/kg/hr | 15/14 | Hgb < 7g/dL | NS | SF | nRCT |
| Pineda | 2001 | 14.5±1.6/13.3±1.3 | EACA | 59(28/31) | 100mg/kg+10mg/kg/hr | 12/12 | Hgb < 7g/dL | IS | SF | nRCT |
| Lorio | 2013 | N/A | EACA | 33(17/16) | 100mg/kg+10mg/kg/hr | / | Hgb < 7g/dL | AIS | SF with PO | nRCT |
| Verma | 2014 | 15.3±2.4,14.6±1.9/15.0±2.4 | TXAEACA | 125(36,42/47) | TXA:10mg/kg +1mg/kg/hrEACA:100mg/kg +10mg/kg/hr | 8.8,9.5/9.0 | I: Hct < 25% P: Hct < 22% | AIS | SA | RCT |
| Newton | 2012 | 13.7 | aprotininTXA | 136(30,42/64) | / | / | / | PS and SS | SF with VCR | nRCT |
| Khurana | 2012 | 26.3 | aprotininTXA | 73(28,26/17) | Aprotinin:1*10^6 KIU +5*10^5 KIU/hrTXA:2g+N/A | 12.3,11.9/7.1 | / | AD | SF | nRCT |
E/C, experimental group/control group; TXA, tranexamic acid; EACA, epsilon aminocaproic acid; I, intraoperative; P, postoperative; Hct, hematocrit; PS, primary scoliosis; SS, secondary scoliosis; AD, adult deformity; NS, neuromuscular scoliosis; AIS, adolescent idiopathic scoliosis; IS, idiopathic scoliosis; KS, Kypho scoliosis; SF, spinal fusion; VCR, vertebral column resection; PO, Ponte osteotomy; BEBL, baseline estimated blood volume; RCT, randomized control trial; nRCT, non-randomized control trial.
★the operative approach in this study was either anterior, or posterior, or combined. In the others, all posterior
Assessment of Risk of Bias in the Studies Included.
| Random sequence generation | Allocation concealment | Blinding of participants and personnel | Blinding of outcome data | Incomplete outcome data | Selective reporting | Other bias | |
|---|---|---|---|---|---|---|---|
| RCT | |||||||
| Lentschener 1999 | L | L | L | L | L | L | L |
| Neilipovitz 2001 | L | M | L | L | L | L | L |
| Karapurkar 2002 | M | M | M | M | L | L | L |
| Cole 2003 | L | L | L | L | L | L | L |
| Pineda 2004 | M | L | L | L | L | L | L |
| Sethna 2005 | L | L | L | L | L | L | L |
| Xu 2012 | M | M | M | M | L | L | M |
| Verma 2014 | L | L | L | L | L | L | L |
| Khoshhal 2003 | M | M | M | M | L | L | L |
| nRCT | |||||||
| Tayyab 2008 | H | H | H | M | M | L | M |
| Newton 2012 | H | H | H | M | M | L | M |
| Khurana 2012 | H | H | H | M | M | L | L |
| Kasimian 2008 | H | H | H | M | M | L | M |
| Yagi 2012 | H | H | H | M | M | L | M |
| Thompson 2008 | H | H | H | H | M | L | M |
| Lykissas 2013 | H | H | H | H | M | L | M |
| Pineda 2001 | H | H | H | M | M | L | M |
| Lorio 2013 | H | H | H | M | M | L | M |
L: low risk (methods were indicated and proper); H: high risk (methods were indicated but improper); M: moderate risk (methods were not indicated); RCT: randomized control trial; nRCT: non-randomized control trial.
Fig 2Funnel plot to assess publication bias.
Fig 3Forest plot diagram showing the effect of antifibrinolytic agents on total blood loss.
Fig 4Forest plot diagram showing the effect of antifibrinolytic agents on blood transfusion requirements.
Fig 5Forest plot diagram showing the effect of antifibrinolytic agents on intra-operative blood loss.
Fig 6Forest plot diagram showing the effect of antifibrinolytic agents on post-operative blood loss.
Fig 7Forest plot diagram showing the effect of antifibrinolytic agents on blood transfusion rate.
Fig 8Forest plot diagram showing the effect of antifibrinolytic agents on adverse events rate.
Different Antifibrinolytic Agents Subgroup Analysis.
| Outcome and subgroup | Studies | Participants | Statistical method | Effect estimate | p | X2 | I2 |
|---|---|---|---|---|---|---|---|
| Intraoperative blood loss | |||||||
| TXA | 4 | 207 | Mean difference (IV, random, 95% CI) | −605.12, (−974.02, −236.22) | 0.001 | 8.49 | 65% |
| Amicar | 2 | 125 | Mean difference (IV, random, 95% CI) | −162.83, (−405.94, 80.27) | 0.19 | 1.95 | 49% |
| Aprotinin | 3 | 165 | Mean difference (IV, random, 95% CI) | −318.39, (−475.80, −160.98) | <.0001 | 0.84 | 0% |
| Postoperative blood loss | |||||||
| TXA | 2 | 123 | Mean difference (IV, random, 95% CI) | −360.97, (−531.18, −190.77) | <.0001 | 2.14 | 53% |
| Amicar | 2 | 125 | Mean difference (IV, random, 95% CI) | −150.99, (−393.38, 91.41) | 0.22 | 3.55 | 72% |
| Aprotinin | 2 | 121 | Mean difference (IV, random, 95% CI) | −224.47, (−693.46, 244.52) | 0.35 | 11.63 | 91% |
| Total blood loss | |||||||
| TXA | 4 | 207 | Mean difference (IV, random, 95% CI) | −828.60, (−1285.48, −371.72) | 0.0004 | 9.96 | 70% |
| Amicar | 2 | 125 | Mean difference (IV, random, 95% CI) | −329.34, (−552.89, −105.78) | 0.004 | 0 | 0% |
| Aprotinin | 3 | 165 | Mean difference (IV, random, 95% CI) | −482.47, (−821.28, −143.66) | 0.005 | 6.4 | 69% |
| Perioperative Blood Transfusion Requirements | |||||||
| TXA | 3 | 124 | Mean difference (IV, random, 95% CI) | −587.00, (−1073.03, −100.96) | 0.02 | 14.26 | 86% |
| Amicar | 1 | 36 | Mean difference (IV, random, 95% CI) | −280.00, (−549.75, −10.25) | 0.04 | N/A | N/A |
| Aprotinin | 2 | 93 | Mean difference (IV, random, 95% CI) | −389.14, (−586.09, −192.19) | 0.0001 | 0.15 | 0% |
| Transfusion rate | |||||||
| TXA | 4 | 207 | Odds ratio (M-H, fixed, 95% CI) | 0.53, (0.29, 0.95) | 0.03 | 0.9 | 0% |
| Amicar | 2 | 125 | Odds ratio (M-H, fixed, 95% CI) | 0.62, (0.29, 1.32) | 0.21 | 0.01 | 0% |
| Aprotinin | 3 | 165 | Odds ratio (M-H, fixed, 95% CI) | 0.17, (0.08, 0.37) | <.00001 | 0.59 | 0% |
| Adverse Event | |||||||
| TXA | 8 | 513 | Odds ratio (M-H, fixed, 95% CI) | 1.54, (0.09, 25.26) | 0.76 | N/A | N/A |
| Amicar | 5 | 313 | Odds ratio (M-H, fixed, 95% CI) | Not estimable | |||
| Aprotinin | 8 | 469 | Odds ratio (M-H, fixed, 95% CI) | 0.96, (0.28, 3.29) | 0.95 | 3.26 | 8% |