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Gropper, Michael A.

https://orcid.org/0000-0003-0491-4363

Mayo Clinic

University of California, San Francisco

Citations 4

Differentiating pulmonary transfusion reactions using recipient and transfusion factors
Looney, Mark R. , Keating, Sheila M. , Kor, Daryl J. , Lowell, Clifford A. , Hubmayr, Rolf D., Gropper, Michael A. , Koenigsberg, Monique, Wilson, Gregory , Matthay, Michael A. , Toy, Pearl, Murphy, Edward L. , Group, the TRALI Study, Hubmayr, Rolf, Wilson, Gregory A, Roubinian, Nareg H. , Gajic, Ognjen , Group, the TRALI Study

Transfusion | May 4, 2017 | Volume: 57 | Issue: 7 | Pages: 1684-1690

10.1111/trf.14118 Get It

BACKGROUNDIt is increasingly recognized that recipient risk factors play a prominent role in possible transfusion‐related acute lung injury (pTRALI) and transfusion‐associated circulatory overload (TACO). We hypothesized that both transfusion and recipient factors including natriuretic peptides could be used to distinguish TRALI from TACO and pTRALI.STUDY DESIGN AND METHODSWe performed a post hoc analysis of a case‐control study of pulmonary transfusion reactions conducted at the University of California at San Francisco and Mayo Clinic, Rochester. We evaluated clinical data and brain natriuretic peptides (BNP) levels drawn after transfusion in patients with TRALI (n = 21), pTRALI (n = 26), TACO (n = 22), and controls (n = 24). Logistic regression and receiver operating characteristics curve analyses were used to determine the accuracy of clinical and biomarker predictors in differentiating TRALI from TACO and pTRALI.RESULTSWe found that pTRALI and TACO were associated with older age, higher fluid balance, and elevated BNP levels relative to those of controls and TRALI. The following variables were useful in distinguishing cases of pTRALI and TACO from TRALI: age more than 70 years, BNP levels more than 1000 pg/mL, 24‐hour fluid balance of more than 3 L, and a lower number of transfused blood components. Using the above variables, our logistic model had a 91% negative predictive value in the differential diagnosis of TRALI.CONCLUSIONSModels incorporating readily available clinical and biomarker data can be used to differentiate transfusion‐related respiratory complications. Additional studies examining recipient risk factors and the likelihood of TRALI may be useful in decision making regarding donor white blood cell antibody testing.
Cytokines and clinical predictors in distinguishing pulmonary transfusion reactions
Looney, Mark R. , Kor, Daryl J. , Lowell, Clifford A. , Hubmayr, Rolf D., Gropper, Michael A. , Koenigsberg, Monique, Wilson, Gregory , Matthay, Michael A. , Toy, Pearl, Murphy, Edward L. , Group, the TRALI Study, Wilson, Gregory A, Roubinian, Nareg H. , Gajic, Ognjen , Group, the TRALI Study

Transfusion | February 23, 2015 | Volume: 55 | Issue: 8 | Pages: 1838-1846

10.1111/trf.13021 Get It

BACKGROUND Pulmonary transfusion reactions are important complications of blood transfusion, yet differentiating these clinical syndromes is diagnostically challenging. We hypothesized that biologic markers of inflammation could be used in conjunction with clinical predictors to distinguish transfusion‐related acute lung injury (TRALI), transfusion‐associated circulatory overload (TACO), and possible TRALI. STUDY DESIGN AND METHODS In a nested case‐control study performed at the University of California at San Francisco and Mayo Clinic, Rochester, we evaluated clinical data and blood samples drawn before and after transfusion in patients with TRALI (n = 70), possible TRALI (n = 48), TACO (n = 29), and controls (n = 147). Cytokines measured included granulocyte‐macrophage–colony‐stimulating factor, interleukin (IL)‐6, IL‐8, IL‐10, and tumor necrosis factor‐α. Logistic regression and receiver operating characteristics curve analyses were used to determine the accuracy of clinical predictors and laboratory markers in differentiating TACO, TRALI, and possible TRALI. RESULTS Before and after transfusion, IL‐6 and IL‐8 were elevated in patients with TRALI and possible TRALI relative to controls, and IL‐10 was elevated in patients with TACO and possible TRALI relative to that of TRALI and controls. For all pulmonary transfusion reactions, the combination of clinical variables and cytokine measurements displayed optimal diagnostic performance, and the model comparing TACO and TRALI correctly classified 92% of cases relative to expert panel diagnoses. CONCLUSIONS Before transfusion, there is evidence of systemic inflammation in patients who develop TRALI and possible TRALI but not TACO. A predictive model incorporating readily available clinical and cytokine data effectively differentiated transfusion‐related respiratory complications such as TRALI and TACO.
Recipient clinical risk factors predominate in possible transfusion‐related acute lung injury
Toy, Pearl, Bacchetti, Peter , Grimes, Barbara , Murphy, Edward L. , Gropper, Michael A. , Hubmayr, Rolf D., Matthay, Michael A. , Wilson, Gregory , Koenigsberg, Monique, Lee, Deanna C., Hirschler, Nora V., Lowell, Clifford A. , Schuller, Randy M. , Norris, Philip J. , Mair, David , Rosen, Rosa Sanchez, Looney, Mark R. , Winters, Jeffrey L. , Gajic, Ognjen , Gandhi, Manish J.

Transfusion | December 13, 2014 | Volume: 55 | Issue: 5 | Pages: 947-952

10.1111/trf.12954 Get It

Background Possible transfusion‐related acute lung injury (p TRALI ) cases by definition have a clear temporal relationship to an alternative recipient risk factor for acute respiratory distress syndrome ( ARDS ). We questioned whether transfusion factors are important for the development of p TRALI . Study Design and Methods In this nested case‐control study, we prospectively identified 145 consecutive patients with p TRALI and randomly selected 163 transfused controls over a 4‐year period at the U niversity of C alifornia at S an F rancisco and the M ayo C linic ( R ochester, M innesota). Results For p TRALI , we found evidence against transfusion being important: receipt of plasma from female donors (odds ratio [ OR ], 0.82; 95% confidence interval [ CI ], 0.29‐2.3; p = 0.70), total number of units transfused ( OR , 0.99; 95% CI , 0.89‐1.10; p = 0.86), and number of red blood cell and whole blood units transfused ( OR , 0.78; 95% CI , 0.59‐1.03; p = 0.079). In contrast, we found that risk for p TRALI was associated with additional recipient factors: chronic alcohol abuse ( OR , 12.5; 95% CI , 2.8‐55; p < 0.001), current smoker ( OR , 4.2; 95% CI , 1.67‐10.8; p = 0.0024), shock before transfusion ( OR , 4.6; 95% CI , 2.0‐10.7; p < 0.001), and positive fluid balance before transfusion ( OR , 1.32/ L ; 95% CI , 1.20‐1.44; p < 0.001). Conclusion Recipient risk factors for ARDS rather than transfusion risk factors predominate in p TRALI .
Transfusion-related acute lung injury: incidence and risk factors
Toy, Pearl, Bacchetti, Peter , Looney, Mark R. , Gropper, Michael A. , Hubmayr, Rolf D., Lowell, Clifford A. , Norris, Philip J. , Murphy, Edward L. , Weiskopf, Richard B. , Wilson, Gregory , Koenigsberg, Monique, Lee, Deanna, Schuller, Randy M. , Wu, Ping , Grimes, Barbara , Winters, Jeffrey L. , Mair, David , Hirschler, Nora V., Rosen, Rosa Sanchez, Matthay, Michael A. , Group, for the TRALI Study, Gajic, Ognjen , Gandhi, Manish J. , Group, for the TRALI Study, Winters, Jeffrey L

Blood | November 24, 2011 | Volume: 119 | Issue: 7 | Pages: 1757-1767

10.1182/blood-2011-08-370932 Get It

AbstractTransfusion-related acute lung injury (TRALI) is the leading cause of transfusion-related mortality. To determine TRALI incidence by prospective, active surveillance and to identify risk factors by a case-control study, 2 academic medical centers enrolled 89 cases and 164 transfused controls. Recipient risk factors identified by multivariate analysis were higher IL-8 levels, liver surgery, chronic alcohol abuse, shock, higher peak airway pressure while being mechanically ventilated, current smoking, and positive fluid balance. Transfusion risk factors were receipt of plasma or whole blood from female donors (odds ratio = 4.5, 95% confidence interval [CI], 1.85-11.2, P = .001), volume of HLA class II antibody with normalized background ratio more than 27.5 (OR = 1.92/100 mL, 95% CI, 1.08-3.4, P = .03), and volume of anti–human neutrophil antigen positive by granulocyte immunofluoresence test (OR = 1.71/100 mL, 95% CI, 1.18-2.5, P = .004). Little or no risk was associated with older red blood cell units, noncognate or weak cognate class II antibody, or class I antibody. Reduced transfusion of plasma from female donors was concurrent with reduced TRALI incidence: 2.57 (95% CI, 1.72-3.86) in 2006 versus 0.81 (95% CI, 0.44-1.49) in 2009 per 10 000 transfused units (P = .002). The identified risk factors provide potential targets for reducing residual TRALI.