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. Author manuscript; available in PMC: 2015 Aug 1.
Published in final edited form as: Ann Thorac Surg. 2014 Jun 24;98(2):618–624. doi: 10.1016/j.athoracsur.2014.04.126

Recombinant Factor VII Is Associated with Worse Survival in Complex Cardiac Surgical Patients

Andrej Alfirevic 1, Andra Duncan 1, Jing You 2, Cheryl Lober 3, Edward Soltesz 4
PMCID: PMC4122638  NIHMSID: NIHMS614925  PMID: 24968771

Abstract

Background

Recombinant, activated factor VII(rFVIIa) decreases requirements for allogenic blood transfusion and chest re-exploration in cardiac surgical patients. Whether rFVIIa increases risk for postoperative adverse events is unclear. We tested whether rFVIIa administration was associated with increased mortality, neurologic and renal morbidity in cardiac surgical patients. Risk of thromboembolic complications and the dose-response of rFVIIa on mortality and morbidity was also evaluated.

Methods

Of 27,977 patients who had complex cardiac surgery, 164 patients(0.59%) received rFVIIa perioperatively. Using propensity-matching techniques, patients were matched to a maximum of 3 controls. Patients who received rFVIIa were compared with controls on risk of mortality, neurologic and renal morbidity and thromboembolic complications, including a composite of myocardial infarction, pulmonary embolism, and deep venous thrombosis. A corresponding “dose-response” analysis using multivariable logistic regression was also performed.

Results

Propensity techniques successfully matched 144 patients(88%) with 359 controls. Of patients who received rFVIIa, 40% experienced in-hospital mortality compared to 18% of controls(OR 2.82(1.64, 4.87);P<0.001). Furthermore, 31% of patients treated with rFVIIa vs 17% of controls experienced renal morbidity(OR 2.07(1.19, 3.62);P=0.002), however neurologic morbidity and thromboembolic complications were not different among groups. High-dose(>60mcg/kg) did not increase risk for mortality compared to treatment with low-dose rFVIIa(<60mcg/kg).

Conclusion

Administration of rFVIIa is associated with increased mortality and renal morbidity in cardiac surgery patients.

Keywords: bleeding, blood transfusion, stroke

Introduction

Refractory hemorrhage during complex cardiac surgery operations worsens perioperative outcomes and increases risk for mortality(1-3). Recombinant, activated factor VII(rFVIIa), licensed by the US Food and Drug Administration for prevention and treatment of bleeding in patients with hemophilia A or B and factor VII deficiency, has been used for off-label indications in a variety of clinical settings, including cardiac surgery(4-7). Administration of rFVIIa decreases requirements for allogenic blood and blood components transfusion and chest re-exploration for bleeding(8-14). However, despite these favorable effects, the safety of rFVIIa is not well-established.

The inherent pro-coagulant characteristics of rFVIIa may increase risk for serious thrombotic complications(15). Certainly, the risk of thrombotic complications related to rFVIIa administration during cardiac surgery(16, 17) exceeds the risk of rFVIIa use in hemophiliacs(18). Interestingly, despite concerns of increased morbidity with rFVIIa administration, the effect of rFVIIa on postoperative renal function has not been thoroughly explored(9, 17, 19, 20).

Although risk of thromboembolic complications has been investigated(9, 16, 17), studies evaluating risk of mortality after cardiac surgery are limited(6, 14, 19) because they were underpowered(9, 12, 21), lacked a control group(6, 7, 16), examined a diverse patient population(17), or used passive surveillance techniques so the true incidence of adverse outcomes was unknown(22). Further, few investigations were limited to the placement of left ventricular assist device or thoracic aortic surgery, compromising the generalizability of the results(12, 16). Importantly, whether the patient's perioperative risk profile and severity of illness affects risk of mortality and morbidity associated with rFVIIa administration has not been examined. Thus, further analysis is needed to better define the effect of rFVIIa on postoperative mortality and morbidity and improve our understanding of the risk-to-benefit ratio associated with rFVIIa treatment.

The purpose of this investigation was to determine whether administration of rFVIIa increases risk for mortality, neurologic and renal morbidity following cardiac surgery. Further, we assessed the contribution of the patient's perioperative risk profile to risk of adverse outcome and whether rFVIIa dose affects risk of postoperative complications.

Patients and Methods

We utilized data from the Cardiothoracic Anesthesia Patient Registry of the Department of Cardiothoracic Anesthesia and Cardiovascular Information Registry of the Heart and Vascular Institute at the Cleveland Clinic. Data were prospectively collected in a standardized fashion according to strict definitions of preoperative characteristics, intraoperative variables, and postoperative outcomes. The study protocol was approved by the Institutional Review Board.

Anesthetic and surgical management

Complex cardiac surgical procedures including multiple valve replacements, thoracic aortic procedures, heart and lung transplants, and mechanical circulatory support were included. Routine strategies for implementation of cardiopulmonary bypass, antegrade/retrograde cold blood cardioplegia, heparinization and antifibrinolytic therapy using aminocaproic acid infusion were followed. Indications for rFVIIa included protracted bleeding and severe coagulopathy refractory to blood and blood component transfusion during the intraoperative or postoperative period. rFVIIa was administered intravenously in a dose of 20-90 mcg/kg, and repeated for refractory coagulopathy.

Statistical analysis

To control for confounding variables each patient who received rFVIIa was matched to maximum of three patients who did not receive rFVIIa (control) using exactly matching and propensity score matching. Specifically, we first estimated the probability of receiving rFVIIa (i.e., the propensity score) for each patient using logistic regression with rFVIIa as the outcome and using all pre-specified potential confounding variables listed in Table 1. rFVIIa and control patients were matched (up to 1:3) using a greedy distance matching algorithm(SAS macro:gmatch), restricting successful matches to those with the same units of red blood cell transfusion and those whose logit of the estimated propensity scores(i.e.,log( /(1−) estimated propensity score) were within 0.2 standard deviation on the logit of propensity score(i.e. 0.2*1.22 = 0.244) of one another. All analyses used this subset of matched patients.

Table 1.

Baseline characteristics and intraoperative factors before and after propensity score matching (Data reported as mean ± SD or as median [25, 75 percentile])

All patients Matched patients
Factor rFVIIa (N=164) Control (N=27,813) STDa rFVIIa (N=144) Control (N=359) STDa
Demographic variables
    Age(yrs) 60 ± 14 63 ± 14 0.18 61 ± 14 63 ± 16 0.15
    Female gender 30 % 37 % 0.14 28 % 32 % 0.07
    Race 0.20 0.05
        White 83 % 87 % 85 % 84 %
        African American 13 % 7 % 10 % 12 %
        Others 4 % 6 % 5 % 4 %
    Body mass index(kg/m2) 27 [23, 31] 28 [24, 31] 0.11 27 [23, 31] 27 [24, 31] 0.03
Medical history
    Heart failure 53 % 20 % 0.74 56 % 55 % 0.01
    Myocardial infarction 15 % 6 % 0.28 15 % 15 % 0.00
    Hypertension 66 % 51 % 0.30 68 % 74 % 0.14
    Pulmonary hypertension 30 % 15 % 0.37 33 % 34 % 0.03
    Chronic obstructive pulmonary disease 17 % 9 % 0.25 18 % 16 % 0.04
    Diabetes mellitus 27 % 18 % 0.22 26 % 26 % 0.01
    Stroke 12 % 6 % 0.21 13 % 14 % 0.03
    Atrial arrhythmias 32 % 18 % 0.33 34 % 34 % 0.00
    Carotid disease 12 % 11 % 0.04 14 % 16 % 0.06
    Vascular disease 21 % 9 % 0.33 23 % 23 % 0.00
    Anticoagulation/antiplatelet medication 3 % 1 % 0.15 3 % 3 % 0.02
    Dialysis 10 % 0 % 0.45 6 % 7 % 0.02
    Mitral valve insufficiency 17 % 16 % 0.04 19 % 18 % 0.02
    Left ventricular function 0.82 0.21
        Normal(EF: ≥60%) 21 % 39 % 22 % 26 %
        Mild dysfunction(EF: 50-59%) 25 % 39 % 27 % 31 %
        Mild – Moderate dysfunction(EF: 46-49%) 1 % 1 % 1 % 0 %
        Moderate dysfunction(EF: 41-45%) 3 % 5 % 3 % 3 %
        Moderately severe dysfunction (EF: 35-40%) 4 % 4 % 5 % 5 %
        Severe dysfunction (EF: <35%) 46 % 12 % 43 % 35 %
    Preoperative mechanical circulatory support 4 % 0 % 0.24 13 % 10 % 0.11
    ASA physical status 0.86 0.13
        I 0 % 0 % 0 % 0 %
        II 0 % 2 % 0 % 0 %
        III 3 % 27 % 3 % 6 %
        IV 85 % 69 % 85 % 83 %
        V 12 % 2 % 11 % 11 %
Surgical history
    Previous carotid surgery 3 % 3 % 0.01 3 % 4 % 0.02
    Previous vascular surgery 10 % 4 % 0.25 12 % 13 % 0.04
    Previous cardiac surgery 49 % 17 % 0.71 53 % 60 % 0.14
Perioperative variables
    Emergency procedure 30 % 6 % 0.67 28 % 25 % 0.07
    Type of procedure
        Left ventricular assist device 2 % 0 % 0.22 8 % 5 % 0.11
        Right ventricular assist device 13 % 0 % 0.53 1 % 0 % 0.12
        ECMO 1 % 2 % 0.04 14 % 11 % 0.09
        Aortic valve repair/replacement 33 % 29 % 0.09 36 % 40 % 0.07
        Mitral valve repair 15 % 8 % 0.22 9 % 9 % 0.01
        Mitral valve replacement 20 % 7 % 0.38 15 % 22 % 0.17
        Tricuspid valve repair /replacement 27 % 31 % 0.10 19 % 19 - 0.00
        Coronary artery bypass grafting 30 % 37 % 0.14 30 % 31 % 0.02
        Thoracic aortic surgery* 27 % 11 % 0.43 30 % 32 % 0.05
        Heart/lung Transplantationb 3 % 1 % 0.18 3 % 4 % 0.02
    Surgery duration(hrs) 8.5 ± 3.2 5.4 ± 2.2 1.13 8.5 ± 3.0 9.0 ± 2.8 0.16
    Aortic clamp time(min) 73 [0, 134] 58 [0, 87] 0.22 84 [0, 137] 89 [50, 137] 0.16
    Circulatory arrest time (min) 0 [0, 0] 0 [0, 0] 0.39 0 [0, 0] 0 [0, 0] 0.16
    Red blood cell transfusion (units) 7.0 [2.5, 12.0] 0 [0, 0] 1.73 7.0 [2.0, 12.0] 6.0 [2.0, 10.0] 0.16
    Fresh frozen plasma transfusion (units) 7.0 [3, 11] 0 [0, 0] 1.98 7.0 [3, 10.5] 5.0 [3, 8] 0.30
    Transfusion of platelets (units) 8.4 [3.6, 13.2] 0 [0, 0] 1.72 8.4 [3.6, 12.6] 6.0 [2.4, 9.6] 0.24
    Transfusion of cryoprecipitate (units) 1.0 [0, 2.5] 0 [0, 0] 1.51 1.0 [0, 2] 0 [0, 2] 0.26

ASA = American Society of Anesthesiologist; ECMO = Extracorporeal membrane oxygenation; EF = Ejection fraction; STD = Standardized difference

a

Standardized differences: the difference (rFVIIa minus control) in means or proportions divided by the pooled standard deviation.

b

Variables were balanced between groups and not included in propensity score matching

Assessment of covariable balance was performed using standardized differences(i.e., difference in means or proportions divided by pooled standard deviation). Imbalance was defined as an absolute standardized difference (STD) greater than 0.19 in absolute value(i.e.,1.96×1144+1359); any such covariables would have been entered into the models comparing rFVIIa and control patients on outcomes to reduce potential confounding.

Primary outcomes

Our primary outcomes as previously described(23) were: 1) all-cause in-hospital mortality; 2) neurologic morbidity, defined as new postoperative focal (aphasia, decrease in limb function, or hemiparesis confirmed by clinical findings and/or neurologic imaging) or global neurologic deficit (diffuse encephalopathy with >24 hours of severely altered mental status, and/or failure to awaken); and 3) renal morbidity, defined as postoperative anuria or oliguria (urine output <400 mL/24 hrs) and/or institution of renal dialysis or ultrafiltration. Rather than analyzing the vector of outcomes as a collapsed composite of “any-versus-none”, a multivariate(i.e., multiple outcomes per patient) analysis simultaneously captured complete information on each component for a patient and correlations among components. The association between rFVIIa and each of the three primary outcomes was assessed individually using a “distinct effects” generalized estimating equation model with unstructured covariance matrix.(24) Imbalanced covariables after matching(STD>0.19 in absolute value) were adjusted for, in the analysis. Three sensitivity analyses were conducted using additional ways of adjusting for observed confounding variables: 1) adjustment for covariables with STD>0.10 in absolute value after propensity score matching; 2) adjustment for all covariables used to estimate propensity score; and 3) adjustment for propensity score. Secondarily, we assessed treatment effect within quintiles of the propensity score. Bonferroni correction for multiple comparisons was employed to control Type I error at 0.05, thus P <0.017 was considered significant for each primary outcome (i.e., 0.05/3 = 0.017).

In addition, we conducted a sensitivity analysis comparing rFVIIa and control patients based on the AKIN criteria for the acute kidney injury previously defined in the literature.(25) We used a multivariable logistic regression model with a backward selection procedure(alpha-to-enter=0.20 and alpha-to-stay=0.30), where preoperative creatinine and all potential confounders used for the matching were considered for inclusion.

For the primary outcomes in which we observed significant difference between matched rFVIIa and control patients, a corresponding “dose-response” analysis using multivariable logistic regression was conducted. All potential confounders used for the propensity score matching were considered for and included in the model through use of a backward selection procedure. Since low- vs. high-dose of rFVIIa is not clearly defined, 60mcg/kg dose was used as a cut-off.

Secondary outcomes

Propensity-score matched rFVIIa and control patients were compared on total intubation time(days), total intensive care unit(ICU) length of stay(days), duration of hospitalization(days), and a composite outcome of deep venous thrombosis, pulmonary embolism, and myocardial infarction, using multivariable logistic regression or Cox proportional hazard regression, as appropriate. Patients who died before the event (extubation/discharge) were considered failures in the corresponding analysis, with time censored at the worst observation. P-value<0.0125 was considered significant (i.e., 0.05/4 =0.0125, Bonferroni correction). SAS software version 9.3 (SAS Institute, Cary, NC, USA) was used for all statistical analysis.

Results

Of 27,977 adult patients who underwent major cardiovascular surgery between January 2006 and December 2011, 164(0.59%) patients received rFVIIa treatment perioperatively. One-hundred forty-four(88%) of these patients were successfully matched with 359 control patients. Among those, 41(28%) received rFVIIa intraoperatively, 92(64%) postoperatively and 11(8%) both intraoperatively and postoperatively. Seventy-five(52%) patients received more than one dose of rFVIIa.

Patients who received rFVIIa were in worse medical condition and with more comorbidities including heart failure, end-stage kidney disease, requiring emergency surgery and receiving more blood transfusions(Table 1, left panel). Propensity score techniques successfully balanced most variables in the matched subset, which were used to assess the association with the outcomes(Table 1, right panel). Amounts of fresh frozen plasma, platelets, and cryoprecipitate transfusions remained slightly imbalanced(STD>0.19) between groups. To be conservative, we adjusted for these factors when comparing groups on the outcomes.

Of the propensity-matched patients, 40% of patients who received rFVIIa experienced in-hospital mortality vs 18% of control patients after adjusting for imbalanced covariables and within-patient correlation (OR (98.3% CI) 2.82(1.64, 4.87); P<0.001) (Figure 1). Similarly, 31% of patients treated with rFVIIa experienced renal morbidity vs 17% of controls (2.07(1.19, 3.62); P=0.002). However, neurologic morbidity was not increased in patients who received rFVIIa (17%vs11%; OR 1.60(0.81, 3.15); P=0.10). Additional ways of risk-adjustment yielded similar results(Table 2). Furthermore, associations depended upon quintiles of the propensity score. For each primary outcome, the association was stronger for patients at lower risk (lower quintiles) (Figure 2).

Figure 1.

Figure 1

Forest plot showing associations between rFVIIa and primary outcomes among propensity-score matched patients.

Table 2.

Sensitivity analyses demonstrating additional methods for confounding adjustments using the matched subset (N = 503)

Primary outcome Odds ratio (98.3% CI) (rFVIIa/control) P-value

Adjust for covariables with STDa > 0.10
In-hospital mortality 3.50 (1.93, 6.34) <0.001
Neurologic morbidity 1.62 (0.79, 3.30) 0.11
Renal morbidity 2.10 (1.16, 3.81) 0.003

Adjust for all covariables
In-hospital mortality 3.86 (1.65, 9.05) <0.001
Neurologic morbidity 3.09 (1.06, 9.03) 0.012
Renal morbidity 2.61 (1.14, 5.98) 0.006

Adjust for propensity score
In-hospital mortality 2.72 (1.60, 4.63) <0.001
Neurologic morbidity 1.45 (0.73, 2.87) 0.19
Renal morbidity 1.98 (1.14, 3.45) 0.003

CI = confidence interval; STD = Standardized difference

Figure 2.

Figure 2

Forest plot showing associations between rFVIIa and primary outcomes by quintiles of propensity-score, adjusting for propensity score as covariate.

The sensitivity analysis of acute kidney injury using AKIN criteria provided consistent results. Both pre- and post- creatinine levels were available for 455 patients, including 128 rFVIIa patients and 327 controls. Forty-one(32%) rFVIIa patients and 77(24%) controls experienced stage 1 injury; no patients experienced stage 2 or 3 injury. We found that patients who were treated with rFVIIa were 1.80 times (95% CI:1.04, 3.12) more likely to experience acute kidney injury within 48 hours after surgery compared to controls.

The secondary outcome analysis found no difference in risk of deep venous thrombosis, pulmonary embolism, or myocardial infarction between groups. rFVIIa patients were more likely to require mechanical ventilation and to remain in the ICU and hospital postoperatively (Table 3).

Table 3.

Associations between rFVIIa and secondary outcomes among propensity score matched patients (N = 503)

Secondary outcome rFVII N = 144 Control N = 359 Odds ratio (98.75 % CI) (rFVII/control) P
Deep venous thrombosis / pulmonary embolism / Myocardial infarction 17 (12%) 31 (9%) 1.33 (0.59, 2.98) 0.38
Hazard Ratio (98.75% CI)
Total intubation time(days) 8 [4, 20] 3[1, 7] 1.89 (1.42, 2.51) <0.001
Length of ICU stay(days) 13 [6, 22] 6 [3, 12] 1.92 (1.43, 2.58) <0.001
Length of hospital stay(days) 36 [21, 68] 21 [14, 33] 2.15 (1.58, 2.93) <0.001

CI = Confidence interval; ICU = Intensive care unit

Dose-Response Analysis

The median dose [interquartile range] for overall patient population group was 94 [78, 173] mcg/kg. The median dose was 117 [86, 176] mcg/kg for the high-dose and 42 [25, 55] mcg/kg for the low-dose group. Twenty (14%) patients received low dose rFVIIa (i.e., <60mcg/kg). No “dose effect” was found on in-hospital mortality [OR(97.5%CI) 1.36 (0.30, 6.10);P=0.65] or renal morbidity [0.76(0.21, 2.76);P=0.64] for low-dose versus high-dose, after adjusting for confounding variables.

Comment

Our analysis found that cardiac surgical patients who require rFVIIa perioperatively are severely ill and require high-risk surgery complicated by coagulopathy, refractory to massive blood and blood component transfusion. Perioperative administration of rFVIIa was associated with increased risk of mortality, renal morbidity, and prolonged hospital stay. In contrast, thromboembolic complications were not increased. Additionally, rFVIIa did not have a dose-dependent effect on postoperative outcomes.

The cause of increased mortality with rFVIIa administration is unclear; however, increased renal morbidity with rFVIIa use may contribute, at least in part, to higher mortality.(26, 27) Surprisingly, thromboembolic events were not increased with rFVIIa. Stratification of patients by perioperative risk profile and severity of illness using quintile propensity analysis demonstrated a consistent trend of increased mortality in all quintiles, with the exception of patients with the highest perioperative risk.

The results of our investigation conflict with another retrospective study, which reported no mortality difference, although a trend toward increased mortality was suggested(14). However, that report(14), was limited by poorly described matching techniques, which resulted in an imbalance in preoperative EuroScores. This suggested that controls may have been at higher risk than patients receiving rFVIIa. Our analysis, in contrast, matched patients on multiple variables representing patient co-morbidities and perioperative variables ensuring well-balanced propensity-matched groups. Moreover, several sensitivity analyses produced consistent results.

Patients treated with rFVIIa experienced more kidney injury for unclear reasons. rFVIIa, with a dual, tissue factor dependent and independent mechanism of action, restores thrombin production and augments hemostasis at the site of vessel injury(28). Thus increased tissue factor expression after cardiopulmonary bypass(29) with inflammatory modulating properties of rFVIIa(30) may promote a pro-coagulant state. These prothrombotic effects in the renal vascular bed and increased tissue factor expression in renal glomeruli may increase renal morbidity(31). Interestingly, risk of renal morbidity was increased in all quintile subsets of patients, except for patients with the highest risk profile.

Investigations of the risk of stroke, myocardial infarction, and pulmonary embolism associated with rFVIIa administration have reported mixed results(9, 17, 20, 22). Our investigation found no difference in the risk of neurologic injury or thromboembolic complications, perhaps because the severity of patients' comorbidities overshadowed the risk of rFVIIa(11). Nevertheless, the high incidence of serious complications demonstrates that the study cohort represents the highest-risk population and may not be applicable to all cardiac surgery patients.

The optimal dose of rFVIIa for treatment of coagulopathy without increasing risk of adverse events is unknown. Initial dosing recommendations for rFVIIa of 90-120mcg/kg in cardiac surgery were extrapolated from the treatment of hemophiliacs.(32) Low-dose rFVIIa (10 - 60 mcg/kg)(9, 12, 16), is effective(7, 12, 33, 34), and may decrease risk of thromboembolic events(16). Our dose-response analysis, however, found no difference in risk of renal morbidity and mortality in patients receiving high-dose (>60mcg/kg) compared to low-dose (<60mcg/kg) rFVIIa. However, only 14% of patients received low-dose rFVIIa, which may have limited our analysis. Similar to another investigation(34), adverse outcomes were associated with rFVIIa, regardless of dose. Benefits of low-dose rFVIIa includes cost-savings, which may, however, be offset by the cost of postoperative complications(12).

The primary limitation of present analysis is that despite using nonparsimonious propensity-score matching, we cannot exclude possible influence of unmeasured confounders. Second, as with any retrospective analysis, we can only identify association rather than a cause-and-effect relationship. Third, we studied gross neurologic outcomes. Use of more sensitive outcomes, such as neurocognitive studies, may have influenced our findings. Also, use of rFVIIa is dependent upon the physicians’ discretion, thus selection bias may have occurred. Our study did not differentiate between intraoperative or postoperative times of administration, thus it is possible that timing of rFVIIa administration affected the results. A major strength of this analysis, however, is that multiple sensitivity analyses produced consistent results. Further, quintile analysis that stratified patients based on severity of illness adds to the strength of this study by evaluating the impact of rFVIIa on the “sickness” of the patients providing important insight into the patient’s risk of complications related to rFVIIa administration.

In conclusion, administration of rFVIIa is associated with increased mortality and renal morbidity in cardiac surgery patients. We did not find an association between administered dose of rFVIIa and risk of adverse outcome. Caution is advised in the off-label administration of rFVIIa to cardiac surgical patients.

Acknowledgement and Disclosures

Funding: supported by NIH HL093065 (Dr. Duncan),the Departments of Cardiothoracic Anesthesia, outcomes research, and Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH.

Footnotes

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