Logistic regression models for the prediction of CAV using all biopsies obtained within the first 3-months post-transplant.

<p>Established Models use information from atherothrombotic markers, only (AT, only). New Models add information from inflammatory markers (CRP and IL-6) to the Established Model.</p><p><b>Abbreviations</b>: CAV: Cardiac Allograft Vasculopathy; CRP: C-reactive protein; IL-6: Interleukin-6; OR: Odds Ratio; C.I.: Confidence Interval; AT: Atherothrombotic; tPA: tissue plasminogen activator; MMF: Mycophenolate mofetil; HLA-AB: human leukocyte antigen-A, -B.</p><p>Logistic regression models for the prediction of CAV using all biopsies obtained within the first 3-months post-transplant.</p

Logistic regression models for the prediction of GFDCAV using the first biopsy obtained within a median 9-days of transplantation.

<p>Established Models use information from atherothrombotic markers, only (AT, only). New Models add information from inflammatory markers (CRP and IL-6) to the Established Model.</p><p><b>Abbreviations</b>: Graft Failure Due to Cardiac Allograft Vasculopathy: GFDCAV; CRP: C-reactive protein; IL-6: Interleukin-6; OR: Odds Ratio; C.I.: Confidence Interval; AT: Atherothrombotic; MMF: Mycophenolate mofetil.</p><p>Logistic regression models for the prediction of GFDCAV using the first biopsy obtained within a median 9-days of transplantation.</p

Logistic regression models using information from inflammatory markers IL-6 and CRP to predict CAV at 5- and 10-years post-transplantation.

<p>Median IL-6 and CRP values measured over the first 3 months post-transplant were used in all predictive models.</p><p><b>Abbreviations</b>: IL-6: Interleukin-6; CRP: C-reactive protein; CAV: Cardiac allograft vasculopathy; OR: Odds ratio; C.I.: Confidence interval; ROC: Receiver operating characteristic.</p><p>Logistic regression models using information from inflammatory markers IL-6 and CRP to predict CAV at 5- and 10-years post-transplantation.</p

Logistic regression models for the prediction of CAV using the first biopsy obtained within a median 9-days of transplantation.

<p>Established Models use information from atherothrombotic markers, only (AT, only). New Models add information from inflammatory markers (CRP and IL-6) to the Established Model.</p><p><b>Abbreviations</b>: CAV: Cardiac Allograft Vasculopathy; CRP: C-reactive protein; IL-6: Interleukin-6; OR: Odds Ratio; C.I.: Confidence Interval; AT: Atherothrombotic; MMF: Mycophenolate mofetil; HLA-AB: human leukocyte antigen-A, -B.</p><p>Logistic regression models for the prediction of CAV using the first biopsy obtained within a median 9-days of transplantation.</p

Summary of demographic and clinical variables (Patients: n = 172).

<p>All data based on entire sample of 172 patients.</p><p><b>Abbreviations</b>: SD: Standard Deviation; HLA: human leukocyte antigen; LDL-C: low density lipoprotein cholesterol; HDL-C: high density lipoprotein cholesterol; CMV: cytomegalovirus; ACE: Angiotensin-Converting Enzyme; ARB: Angiotensin Receptor Blockers.</p><p>Summary of demographic and clinical variables (Patients: n = 172).</p

Immunohistochemical characteristics of a thrombotic/activated microvasculature.

<p>Normal hearts (top row) have absence of fibrin (Fib-), presence of microvascular antithrombin (AT+) and tissue plasminogen activator (tPA+) and absence of arterial endothelial ICAM-1 (ICAM-1-). Abnormal thrombotic and activated hearts (bottom row) are characterized by presence of fibrin (Fib+), loss of microvascular antithrombin (AT-) and tissue plasminogen activator (tPA-) and expression of arterial endothelial ICAM-1 (ICAM-1+). Original magnification ×640. This figure has been reproduced with permission from: Labarrere CA, Woods JR, Hardin JW, Campana GL, Ortiz MA, et al. (2012) Value of the First Post-Transplant Biopsy for Predicting Long-Term Cardiac Allograft Vasculopathy (CAV) and Graft Failure in Heart Transplant Patients. PLoS ONE 7(4): e36100. doi: 10.1371/journal.pone.0036100.</p

Prediction of (a) CAV and (b) Graft Failure Due to CAV (GFDCAV).

<p>Including inflammatory status (CRP) to the established AT prediction model improves discriminatory power as defined by the increase in the area under the ROC curve.</p

CAV: Performance of the Established Model (which uses atherothrombotic markers, only), with the New Model (which adds inflammatory markers to the Established Model).

<p>Both models were developed using markers obtained from the 1^st biopsy only (median 9-days post-transplant) and markers from all biopsies obtained during the first 3 months to predict the risk of developing CAV at 5- or 10-years post-operatively.</p><p><b>Abbreviations</b>: CAV: cardiac allograft vasculopathy; PPV: positive predictive value; NPV: negative predictive value.</p>a<p>Pct correct: The percentage of cases correctly classified by the model considering both positive and negative classifications.</p>b<p>Cutoff value: The predicted value from the logistic regression that serves as the threshold for predicting CAV. Patients with predicted values exceeding the cutoff are predicted to develop CAV.</p>c<p>Prevalence: The proportion of patients that developed CAV during the indicated time interval.</p><p>CAV: Performance of the Established Model (which uses atherothrombotic markers, only), with the New Model (which adds inflammatory markers to the Established Model).</p

Immnunohistochemical analysis of mouse cardiac allograft treated anti-MCP-1 or isotypic control.

<p>(A and B) Distribution of CD45⁺ leukocytes in cardiac allografts treated with anti-MCP-1 antibodies (A) and control isotypic antibodies (B). (C and D) Distribution of CD68⁺ leukocytes in cardiac allografts treated with antibodies against MCP-1 antibodies (C) and control isotypic antibodies (D). Blue, positive signal; red, nuclear counterstaining. (E) Numbers of αSMA-positive vessels and leukocytes expressing CD45, CD68, CD3, CD4, and CD8. *p<0.05.</p

Logistic linear regression analysis of the association between predicting factors and accumulation of vascular progenitor cells in arterioles.

<p>Logistic linear regression analysis of the association between predicting factors and accumulation of vascular progenitor cells in arterioles.</p