Trauma is danger

Background

Trauma is one of the leading causes of death in young adult patients. Many pre-clinical and clinical studies attempt to investigate the immunological pathways involved, however the true mediators remain to be elucidated. Herein, we attempt to describe the immunologic response to systemic trauma in the context of the Danger model.

Data Sources

A literature search using PubMed was used to identify pertinent articles describing the Danger model in relation to trauma.

Conclusions

Our knowledge of Danger signals in relation to traumatic injury is still limited. Danger/alarmin signals are the most proximal molecules in the immune response that have many possibilities for effector function in the innate and acquired immune systems. Having a full understanding of these molecules and their pathways would give us the ability to intervene at such an early stage and may prove to be more effective in blunting the post-injury inflammatory response unlike previously failed cytokine experiments.

Biomarker use in tailored combat casualty care

Modern war wounds are complex and primarily involve extremities. They require multiple operative interventions to achieve wound closure and begin rehabilitation. Current assessment of the suitability of surgical wound closure is based upon subjective methods coupled with a semiquantitative determination of the wound bacterial burden. Measurement of the systemic and local response to injury using inflammatory biomarkers may allow for accelerated wound closure and treatment of other combat-related morbidity. This article presents the introduction of personalized medicine into combat casualty care.

Visual enhancement of laparoscopic partial nephrectomy with 3-charge coupled device camera: assessing intraoperative tissue perfusion and vascular anatomy by visible hemoglobin spectral response

PURPOSE

We report the novel use of 3-charge coupled device camera technology to infer tissue oxygenation. The technique can aid surgeons to reliably differentiate vascular structures and noninvasively assess laparoscopic intraoperative changes in renal tissue perfusion during and after warm ischemia.

MATERIALS AND METHODS

We analyzed select digital video images from 10 laparoscopic partial nephrectomies for their individual 3-charge coupled device response. We enhanced surgical images by subtracting the red charge coupled device response from the blue response and overlaying the calculated image on the original image. Mean intensity values for regions of interest were compared and used to differentiate arterial and venous vasculature, and ischemic and nonischemic renal parenchyma.

RESULTS

The 3-charge coupled device enhanced images clearly delineated the vessels in all cases. Arteries were indicated by an intense red color while veins were shown in blue. Differences in mean region of interest intensity values for arteries and veins were statistically significant (p >0.0001). Three-charge coupled device analysis of pre-clamp and post-clamp renal images revealed visible, dramatic color enhancement for ischemic vs nonischemic kidneys. Differences in the mean region of interest intensity values were also significant (p <0.05).

CONCLUSIONS

We present a simple use of conventional 3-charge coupled device camera technology in a way that may provide urological surgeons with the ability to reliably distinguish vascular structures during hilar dissection, and detect and monitor changes in renal tissue perfusion during and after warm ischemia.

Development of a Bayesian model to estimate health care outcomes in the severely wounded

BACKGROUND

Graphical probabilistic models have the ability to provide insights as to how clinical factors are conditionally related. These models can be used to help us understand factors influencing health care outcomes and resource utilization, and to estimate morbidity and clinical outcomes in trauma patient populations.

STUDY DESIGN

Thirty-two combat casualties with severe extremity injuries enrolled in a prospective observational study were analyzed using step-wise machine-learned Bayesian belief network (BBN) and step-wise logistic regression (LR). Models were evaluated using 10-fold cross-validation to calculate area-under-the-curve (AUC) from receiver operating characteristics (ROC) curves.

RESULTS

Our BBN showed important associations between various factors in our data set that could not be developed using standard regression methods. Cross-validated ROC curve analysis showed that our BBN model was a robust representation of our data domain and that LR models trained on these findings were also robust: hospital-acquired infection (AUC: LR, 0.81; BBN, 0.79), intensive care unit length of stay (AUC: LR, 0.97; BBN, 0.81), and wound healing (AUC: LR, 0.91; BBN, 0.72) showed strong AUC.

CONCLUSIONS

A BBN model can effectively represent clinical outcomes and biomarkers in patients hospitalized after severe wounding, and is confirmed by 10-fold cross-validation and further confirmed through logistic regression modeling. The method warrants further development and independent validation in other, more diverse patient populations.

Probabilistic (Bayesian) modeling of gene expression in transplant glomerulopathy

Transplant glomerulopathy (TG) is associated with rapid decline in glomerular filtration rate and poor outcome. We used low-density arrays with a novel probabilistic analysis to characterize relationships between gene transcripts and the development of TG in allograft recipients. Retrospective review identified TG in 10.8% of 963 core biopsies from 166 patients; patients with stable function were studied for comparison. The biopsies were analyzed for expression of 87 genes related to immune function and fibrosis by using real-time PCR, and a Bayesian model was generated and validated to predict histopathology based on gene expression. A total of 57 individual genes were increased in TG compared with stable function biopsies (P < 0.05). The Bayesian analysis identified critical relationships between ICAM-1, IL-10, CCL3, CD86, VCAM-1, MMP-9, MMP-7, and LAMC2 and allograft pathology. Moreover, Bayesian models predicted TG when derived from either immune function (area under the curve [95% confidence interval] of 0.875 [0.675 to 0.999], P = 0.004) or fibrosis (area under the curve [95% confidence interval] of 0.859 [0.754 to 0.963], P < 0.001) gene networks. Critical pathways in the Bayesian models were also analyzed by using the Fisher exact test and had P values <0.005. This study demonstrates that evaluating quantitative gene expression profiles with Bayesian modeling can identify significant transcriptional associations that have the potential to support the diagnostic capability of allograft histology. This integrated approach has broad implications in the field of transplant diagnostics.

Monitoring the healing of combat wounds using Raman spectroscopic mapping

Soldiers wounded in modern warfare present with extensive and complicated acute wounds, confounded by an overwhelming inflammatory response. The pathophysiology of acute wounds is unknown and timing of wound closure remains subjective. Collagen gene expression profiles are presented for 24 patients. Impaired healing wounds showed a twofold decrease in the up-regulation of COL1A1 and COL3A1 genes in the beginning of the wound healing process, compared with normal healing wounds. By the final debridement, however, collagen gene expression profiles for normal and impaired healing wounds were similar for COL1A1 and COL3A1. In addition, Raman spectroscopic maps were collected of biopsy tissue sections, from the first and last debridements of 10 wounds collected from nine patients. Tissue components obtained for the debridement biopsies were compared to elucidate whether or not a wound healed normally. Raman spectroscopy showed a loss of collagen in five patients, indicated by a negative percent difference in the 1,665/1,445 cm(-1) band area ratios. Four healed patients showed an increased or unchanged collagen content. Here, we demonstrate the potential of Raman spectroscopic analysis of wound biopsies for classification of wounds as normal or impaired healing. Raman spectroscopy has the potential to noninvasively monitor collagen deposition in the wound bed, during surgical wound debridements, to help determine the optimal time for wound closure.

Wound trauma mediated inflammatory signaling attenuates a tissue regenerative response in MRL/MpJ mice

Background

Severe trauma can induce pathophysiological responses that have marked inflammatory components. The development of systemic inflammation following severe thermal injury has been implicated in immune dysfunction, delayed wound healing, multi-system organ failure and increased mortality.

Methods

In this study, we examined the impact of thermal injury-induced systemic inflammation on the healing response of a secondary wound in the MRL/MpJ mouse model, which was anatomically remote from the primary site of trauma, a wound that typically undergoes scarless healing in this specific strain. Ear-hole wounds in MRL/MpJ mice have previously displayed accelerated healing and tissue regeneration in the absence of a secondary insult.

Results

Severe thermal injury in addition to distal ear-hole wounds induced marked local and systemic inflammatory responses in the lungs and significantly augmented the expression of inflammatory mediators in the ear tissue. By day 14, 61% of the ear-hole wounds from thermally injured mice demonstrated extensive inflammation with marked inflammatory cell infiltration, extensive ulceration, and various level of necrosis to the point where a large percentage (38%) had to be euthanized early during the study due to extensive necrosis, inflammation and ear deformation. By day 35, ear-hole wounds in mice not subjected to thermal injury were completely closed, while the ear-hole wounds in thermally injured mice exhibited less inflammation and necrosis and only closed partially (62%). Thermal injury resulted in marked increases in serum levels of IL-6, TNFα, KC (CXCL1), and MIP-2α (CXCL2). Interestingly, attenuated early ear wound healing in the thermally injured mouse resulted in incomplete tissue regeneration in addition to a marked inflammatory response, as evidenced by the histological appearance of the wound and increased transcription of potent inflammatory mediators.

Conclusion

These findings suggest that the observed systemic inflammatory response of a severe thermal injury undoubtedly has an adverse effect on wound healing and tissue regeneration.

Development of a Bayesian classifier for breast cancer risk stratification: a feasibility study

BACKGROUND

Lifetime risk assessment tools are relatively limited in identifying breast cancer risk in younger women. The predictive value of mathematical models to estimate risk varies according to age, menopausal status, race/ethnicity, and family history. Current risk prediction models estimate population, not individual, levels of breast cancer risk; hence, individualized risk prediction models are needed to identify younger at-risk women who could benefit from timely risk reduction interventions. Clinical data collected as part of breast cancer screening studies may be modeled using Bayesian classification.

PURPOSE

To train a proof-of-concept Bayesian classifier for breast cancer risk stratification.

PATIENTS AND METHODS

We trained a Bayesian belief network (BBN) model on cohort data (including risk factors, demographic, electrical impedance scanning (EIS), breast imaging, and biopsy data) from a prospective pilot screening trial in younger women (N = 591). Receiver operating characteristic curve analysis and cross-validation of the model were used to derive preliminary guidance on the robustness of this approach and to gain insights into what a cross-validation exercise could provide in terms of risk stratification in a larger population.

RESULTS

Independent predictors of biopsy outcome in the BBN model included personal breast disease history, breast size, EIS (low vs high risk) and imaging results, and Gail cutoff (5-year risk: <1.66% vs > or =1.66%). Area under the receiver operating characteristic curve and positive predictive value for benign and malignant biopsy outcomes were 0.88 and 97% and 0.97 and 42%, respectively. Patient-specific probability of biopsy outcome given positive EIS result and Gail model 5-year risk > or =1.66% indicated that the combined effect of these predictors on likelihood that a biopsy would prove malignant exceeded the sum of the individual effects; breast cancer likelihood is as follows: 3% (EIS negative and Gail model 5-year risk <1.66%) versus 9% (EIS positive and Gail model 5-year risk <1.66%) versus 27% (EIS negative and Gail model 5-year risk > or =1.66%) versus 45% (EIS positive and Gail model 5-year risk > or =1.66%).

CONCLUSION

Clinical data collected as part of breast cancer screening studies can be modeled using Bayesian classification. The BBN model may be predictive and may provide clinically useful incremental risk information for individualized breast cancer risk assessment in younger women.

Emergent management of postpartum hemorrhage for the general and acute care surgeon

BACKGROUND

Postpartum hemorrhage is one of the rare occasions when a general or acute care surgeon may be emergently called to labor and delivery, a situation in which time is limited and the stakes high. Unfortunately, there is generally a paucity of exposure and information available to surgeons regarding this topic: obstetric training is rarely found in contemporary surgical residency curricula and is omitted nearly completely from general and acute care surgery literature and continuing medical education.

METHODS

The purpose of this manuscript is to serve as a topic specific review for surgeons and to present a surgeon oriented management algorithm. Medline and Ovid databases were utilized in a comprehensive literature review regarding the management of postpartum hemorrhage and a management algorithm for surgeons developed based upon a collaborative panel of general, acute care, trauma and obstetrical surgeons' review of the literature and expert opinion.

RESULTS

A stepwise approach for surgeons of the medical and surgical interventions utilized to manage and treat postpartum hemorrhage is presented and organized into a basic algorithm.

CONCLUSION

The manuscript should promote and facilitate a more educated, systematic and effective surgeon response and participation in the management of postpartum hemorrhage.

Evaluation of lyophilized platelets as an infusible hemostatic agent in experimental non-compressible hemorrhage in swine

INTRODUCTION

Human lyophilized platelets hold promise as a novel hemostatic infusion agent for the control of traumatic hemorrhage. Rehydrated, lyophilized platelets (Stasix) were investigated as an infusible hemostatic agent in experimental non-compressible hemorrhage, using a porcine liver injury model.

METHODS

Yorkshire swine underwent a grade III liver injury and uncontrolled bleeding. After 15 min, animals were infused with Stasix (n = 10) or normal saline vehicle (n = 10). At 2 h, the liver was repaired, and the animals were monitored for another4 h. Resuscitation, including blood transfusion, was administered during the hospital phase. Laboratory data, including arterial blood gas, complete blood count, thromboelastography (TEG), and coagulation parameters, were collected. All animals underwent necropsy with complete histopathologic examination.

RESULTS

Overall survival in the Stasix group [8/10 (80%)] was significantly higher than in the control group [2/10 (20%)] (P = 0.023). Mean total blood loss index (g kg(-1)) was lower in Stasix-treated animals (22.2 +/- 3.5) than in control animals (34.7 +/- 3.4) (P = 0.019). Hemodynamic parameters were improved in the Stasix group, and a trend towards higher hemoglobin and lower lactate was observed. Coagulation and TEG parameters were not different between the groups. One surviving animal in the Stasix group had evidence of thrombi on necropsy.

CONCLUSIONS

This is the first reported study to evaluate rehydrated, lyophilized platelets as an infusible hemostatic agent for non-compressible hemorrhage. Stasix improved survival and reduced blood loss in a liver injury porcine model. However, evidence of thrombotic complications warrants further investigation prior to human use in the setting of traumatic hemorrhage.

Incidence, predictors and outcomes of transplant renal artery stenosis after kidney transplantation: analysis of USRDS

OBJECTIVE

We analyzed the United States Renal Data System registry to study the risks, predictors, and outcomes of transplant renal artery stenosis (TRAS) in contemporary practice.

METHODS

The study sampled comprised adults with Medicare primary insurance who received kidney transplants in 2000-2005. We examined associations of recipient, donor and transplant factors with time-to-TRAS by the Kaplan-Meier method and multivariate Cox regression. Survival analysis methods were employed to estimate graft survival after TRAS, and to model TRAS as a time-dependent outcome predictor. Kaplan-Meier analysis was used to estimate time to allograft loss in patients who did or did not have an angioplasty procedure for TRAS.

RESULTS

There were 823 cases of TRAS among 41,867 transplant patients, with an incidence rate of 8.3 (95% CI 7.8-8.9) cases per 1,000 patient-years. Mean time to diagnosis of TRAS was 0.83 + or - 0.81 years after transplant. Factors associated with TRAS were older recipient and donor age, extended criteria donors, induction immunosuppression, delayed graft function, and ischemic heart disease. There was no association of TRAS with deceased donors, prolonged cold ischemia time, acute rejection or cytomegalovirus status. TRAS was associated with increased risk of graft loss (including death; adjusted hazard ratio 2.84, 95% CI 1.70-4.72). Among the 823 patients with TRAS, 145 (17.6%) underwent angioplasty. Graft survival after TRAS was not significantly different in patients treated with angioplasty compared to those without angioplasty.

CONCLUSIONS

TRAS is an important complication that predicts adverse patient and graft outcomes. Treatment strategies for TRAS warrant prospective investigation in clinical trials.

Development of a clinical decision model for thyroid nodules

Background

Thyroid nodules represent a common problem brought to medical attention. Four to seven percent of the United States adult population (10–18 million people) has a palpable thyroid nodule, however the majority (>95%) of thyroid nodules are benign. While, fine needle aspiration remains the most cost effective and accurate diagnostic tool for thyroid nodules in current practice, over 20% of patients undergoing FNA of a thyroid nodule have indeterminate cytology (follicular neoplasm) with associated malignancy risk prevalence of 20–30%. These patients require thyroid lobectomy/isthmusectomy purely for the purpose of attaining a definitive diagnosis. Given that the majority (70–80%) of these patients have benign surgical pathology, thyroidectomy in these patients is conducted principally with diagnostic intent. Clinical models predictive of malignancy risk are needed to support treatment decisions in patients with thyroid nodules in order to reduce morbidity associated with unnecessary diagnostic surgery.

Methods

Data were analyzed from a completed prospective cohort trial conducted over a 4-year period involving 216 patients with thyroid nodules undergoing ultrasound (US), electrical impedance scanning (EIS) and fine needle aspiration cytology (FNA) prior to thyroidectomy. A Bayesian model was designed to predict malignancy in thyroid nodules based on multivariate dependence relationships between independent covariates. Ten-fold cross-validation was performed to estimate classifier error wherein the data set was randomized into ten separate and unique train and test sets consisting of a training set (90% of records) and a test set (10% of records). A receiver-operating-characteristics (ROC) curve of these predictions and area under the curve (AUC) were calculated to determine model robustness for predicting malignancy in thyroid nodules.

Results

Thyroid nodule size, FNA cytology, US and EIS characteristics were highly predictive of malignancy. Cross validation of the model created with Bayesian Network Analysis effectively predicted malignancy [AUC = 0.88 (95%CI: 0.82–0.94)] in thyroid nodules. The positive and negative predictive values of the model are 83% (95%CI: 76%–91%) and 79% (95%CI: 72%–86%), respectively.

Conclusion

An integrated predictive decision model using Bayesian inference incorporating readily obtainable thyroid nodule measures is clinically relevant, as it effectively predicts malignancy in thyroid nodules. This model warrants further validation testing in prospective clinical trials.

Transforming an academic military treatment facility into a trauma center: lessons learned from Operation Iraqi Freedom

BACKGROUND

To manage the influx of patients with predominately extremity injuries from Operation Iraqi Freedom (OIF), our center was required to transform from a nontrauma academic hospital to a trauma hospital by using a multidisciplinary approach.

STUDY DESIGN

A retrospective chart review was performed of casualties from OIF who were received over 14 months.

RESULTS

A total of 313 casualties were received. The average number of admissions was 16 per month, except during November 2004, when there were 88 admissions over 7 days. The mean ISS for all patients was 14.1 +/- 10.3. A total of 113 patients (36%) required admission to the intensive care unit for an average of 7.5 +/- 5.2 days. The mean interval between injury and arrival in the continental United States was 6.5 +/- 4.6 days. Most casualties suffered multisystem trauma, with extremity injuries predominating. The multidisciplinary approach to casualty care consisted of several meetings a week and included everyone involved in caring for these combat casualties.

CONCLUSIONS

A multidisciplinary approach transformed an existing medical center into a trauma receiving hospital capable of managing and maintaining a surge in patient admissions resulting in minimal morbidity and mortality. This model further supports a multidisciplinary approach to trauma care and could serve as a guideline for transforming existing medical centers into trauma receiving hospitals to deal with patient overflow in the event of future civilian mass casualties.

Extracorporeal shock wave therapy suppresses the early proinflammatory immune response to a severe cutaneous burn injury

Following severe burn injury, persistent inflammation perpetuated by surface eschar, bacterial colonisation and neutrophil proteolytic activity can impede normal healing and result in further tissue damage. Extracorporeal shock wave treatment (ESWT) has been shown in the clinical setting to promote the healing of burn and difficult-to-heal wounds; however, the mechanism is unclear. We investigated the role of ESWT on the early proinflammatory response using a severe, full-thickness and highly inflammatory cutaneous burn wound in a murine model. Various wound-healing parameters were measured and leukocyte infiltration quantitated. A panel of 188 candidate genes known to be involved in acute inflammation and wound healing was screened. We show that ESWT of burn wounds 1 hour postwounding significantly blunts polymorphonuclear neutrophil and macrophage infiltration into the wound. ESWT treatment potently attenuates both CC- and CXC-chemokine expression, acute proinflammatory cytokine expression and extracellular matrix proteolytic activity at the wound margin. Given these findings and the clinical success of ESWT, we speculate that ESWT may be a potential therapeutic modality to treat severe wounds wherein excessive inflammatory responses involving increased levels of inflammatory cells, proinflammatory cytokines and proteases may become self-resolving allowing wound healing to progresses by way of normal physiological repair processes.

Warfare-related complex abdominal wall reconstruction using a bioprosthetic regenerate template and negative pressure therapy

Warfare-related torso/abdominal wounds are often unique and complex and can pose a significant reconstructive challenge. The objective of this manuscript is to report the unique and successful management of a complex warfare-related abdominal wound. A dermal regenerate template in combination with negative pressure wound therapy was used to reconstitute lateral abdominal wall integrity after radical debridement and control of a necrotizing soft tissue infection of the torso. Adjunctive continuous negative pressure (vacuum assisted closure) therapy was used to provide external coverage and encourage the formation of granulation tissue. With this combination therapy, torso wound size decreased in surface area by 82% and the underlying musculofascial defect decreased by 64%. Neovascularization of a 55-cm(2) acellular dermal graft was achieved as evidenced by surface granulation and complete survival of a partial-thickness skin graft. In our patient with a complex war injury, advanced tissue replacement techniques and negative pressure wound therapy resulted in a decreased abdominal wall defect, a restoration of abdominal wall integrity/domain, and allowed for concurrent surgical treatment of complex intra-abdominal injuries.

Assessment of cadaveric organ viability during pulsatile perfusion using infrared imaging

Assessment of pulsatile perfusion (PP) is limited to measurements of flow (V) and resistance (R). We investigated infrared (IR) imaging during PP as a means for precise organ assessment. IR was used to monitor 10 porcine kidneys during 18 hr of PP in an uncontrolled Donation after Cardiac Death model. An IR camera (Lockheed Martin) was focused on the anterior surfaces of the kidneys. The degree of temperature homogeneity was compared with standard measurements of V and R. IR thermal images correlated with V and R (R=0.92, P<0.001). IR detected an increase in homogeneity during PP by comparing standard deviation differences before and after PP (P=0.002), which was not evident by standard measurements of V and R. Finally, IR assessment allowed for measurement of dynamic changes in perfusion.

Heterotopic ossification in high-energy wartime extremity injuries: prevalence and risk factors

BACKGROUND

Heterotopic ossification in the extremities remains a common complication in the setting of high-energy wartime trauma, particularly in blast-injured amputees and in those in whom the definitive amputation was performed within the zone of injury. The purposes of this cohort study were to report the experience of one major military medical center with high-energy wartime extremity wounds, to define the prevalence of heterotopic ossification in these patients, and to explore the relationship between heterotopic ossification and other potential independent predictors.

METHODS

We retrospectively reviewed the records and radiographs of all combat-wounded patients admitted to this institution between March 1, 2003, and December 31, 2006. Patients with a minimum of two months of radiographic follow-up who underwent at least one orthopaedic procedure on an extremity constituted our study group; those who underwent at least one orthopaedic procedure but had not had heterotopic ossification develop constituted the control group. Variables recorded for each study subject included age and sex, location and mechanism of injury, method(s) of fracture fixation, number of débridement procedures, duration of negative pressure therapy, location of heterotopic ossification, presence and severity of traumatic brain injury, and Injury Severity Scores.

RESULTS

During the study period, 1213 war-wounded patients were admitted. Of those patients, 243 (157 in the heterotopic ossification group and eighty-six controls) met the inclusion criteria. The observed rate of heterotopic ossification was 64.6%. A significant relationship was detected between heterotopic ossification and the presence (p = 0.006) and severity (p = 0.003) of a traumatic brain injury. Risk factors for the development of heterotopic ossification were found to be an age of less than thirty years (p = 0.007, odds ratio = 3.0), an amputation (p = 0.048, odds ratio = 2.9), multiple extremity injuries (p = 0.002, odds ratio = 3.9), and an Injury Severity Score of >or=16 (p = 0.02, odds ratio = 2.2).

CONCLUSIONS

The prevalence of heterotopic ossification in war-wounded patients is higher than that in civilian trauma. Although trends associated with local wound conditions were identified, the risk factors for the development of heterotopic ossification found in this study suggest that systemic causes predominate.

New directions for induction immunosuppression strategy in solid organ transplantation

BACKGROUND

Solid organ transplant centers are increasingly using induction immunosuppression strategies. Induction immunosuppression involves the use of intense therapy at the time of transplantation with the goal of preventing acute rejection and ultimately inducing a tolerogenic state. The objective of this review is to examine specialized induction agents currently in clinical use and highlight novel therapeutics on the horizon for induction immunosuppression.

METHODS

A literature search using the PubMed and MEDLINE databases identified salient basic science and clinical research articles on induction immunosuppression for solid organ transplantation.

CONCLUSIONS

While current induction immunosuppression agents have reduced the incidence of acute rejection, the goal of transplant tolerance has not been realized. Furthermore, the long-term allograft survival rate is not clearly influenced by the practice of induction immunosuppression. New approaches to tolerance induction, such as costimulatory-based therapy, mixed chimerism, and adoptive cellular transfer, hold promise for more effective induction immunosuppression in solid organ transplantation.

Outcomes in African-Americans vs. Caucasians using thymoglobulin or interleukin-2 receptor inhibitor induction: analysis of USRDS database

AIM

We used the USRDS database to test the hypothesis that graft survival was similar using either rabbit antithymocyte globulin (rATG) vs. interleukin-2 receptor inhibitor (IL2i) in the Prograf era. We further explored the variable of race in the two groups of patients.

METHODS

We conducted a retrospective cohort study of kidney transplant patients in the USRDS from 2000 through 2005 to compare graft survival (including death) using rATG vs. IL2i with particular reference to outcomes between African-Americans vs. Caucasians. Kaplan-Meier analysis was performed to assess patient and graft survival after transplantation, stratified by recipient induction with rATG versus IL2i. Cox regression analysis was performed to assess adjusted survival after transplantation, assessing whether induction rATG (vs. IL2i) was significant as an interaction term (i.e. an effect modifier) with black race for graft survival. Propensity score analysis was used to address potential confounding by indication.

RESULTS

In stratified Cox Regression analysis limited to IL2i, black race was significantly associated with graft loss (adjusted hazard ratio (AHR) 1.17, 95% CI, 1.09-1.26). In analysis limited to rATG induction, black race was not significant (AHR 1.00, 95% CI, 0.92-1.10). We detected a significant interaction between rATG and black race (in comparison with non-black race) for the development of graft loss (AHR, 0.86, 95% CI, 0.76-0.97). Analysis limited to black recipients showed that while use of rATG was not significantly different from IL2i (AHR 0.95, 95% CI 0.87-1.04), the direction of this association was in the opposite direction of non-blacks.

CONCLUSIONS

Patient and graft survival were similar in African-American and Caucasian recipients of kidney transplantation using either rATG or IL2i. Limitations of the study are the retrospective nature of USRDS data, center-bias in using rATG vs. IL2i and lack of data on steroid dosage. Results of the present study call for a critical review of induction practices.