Circulating resistin levels are early and significantly increased in deceased brain dead organ donors, correlate with inflammatory cytokine response and remain unaffected by steroid treatment.

INTRODUCTION: Resistin is a pro-inflammatory adipokine that increases after brain injury (trauma, bleeding) and may initiate an inflammatory response. Resistin was found increased in deceased, brain dead organ donors (DBD) and correlated with delayed graft function after kidney transplantation. The kinetics of resistin during brain death (BD), its impact on the inflammatory response and the influence of several donor variables on resistin levels are still unknown. METHODS: Resistin along with a panel of Th1/Th2 cytokines [interferon (IFN)-gamma, interleukin (IL)-1beta, IL-2, IL-6, IL-8, IL10, IL-12, IL-13 and tumor necrosis factor (TNF)] was analyzed in 36 DBDs after the diagnosis of BD and before organ procurement and in 12 living kidney donors (LD). The cytokine levels and resistin were analyzed in relation to donor parameters including cause of death, donors' age and steroid treatment. RESULTS: Resistin levels were higher in DBDs both at BD diagnosis and before organ procurement compared to LD (p < 0.001). DBDs had significantly increased IL-1beta, IL-6, IL-8, IL-10 and TNF levels at both time points compared with LD. In DBDs, resistin at BD diagnosis correlated positively with IL-1beta (rs 0.468, p = 0.007), IL-6 (rs 0.511, p = 0.002), IL-10 (rs 0.372, p = 0.028), IL-12 (rs 0.398, p = 0.024), IL-13 (rs 0.397, p = 0.030) and TNF (rs 0.427, p = 0.011) at procurement. The cause of death, age over 60 and steroid treatment during BD did not affect resistin levels. However, steroid treatment significantly decreased pro-inflammatory cytokines IL-1beta, IL-8, TNF and IFN-gamma at the time of organ procurement. CONCLUSIONS: Resistin is increased early in DBDs, remains increased throughout the period of BD and correlates strongly with pro-inflammatory mediators. Resistin level, in contrast to cytokines, is not affected by steroid treatment. Resistin increase is related to the BD but is not influenced by age or cause of death. Resistin may be one of the initial triggers for the systemic inflammatory activation seen in DBDs.

Detection of anti-IgA antibodies using the particle gel immunoassay: a rapid test for increased patient safety.

BACKGROUND: Patient safety is a major issue in transfusion medicine and commands continuous efforts to develop valid control methods aiming to avoid serious transfusion-related complications. Anti-IgA antibodies can cause anaphylactic transfusion reactions in IgA-deficient individuals. Since standard quantitative methods for anti-IgA measurement require considerable time to be performed, in an emergency situation it can be a challenge to prevent or to quickly interpret and manage acute transfusion reactions suspected to be a consequence of anti-IgA. The purpose of this study was to test and validate at our transfusion centre a rapid assay for the identification of patients with anti-IgA antibodies. MATERIALS AND METHODS: Forty-six samples (6 from healthy controls and 40 from IgA-deficient patients) were collected. Sera were analysed blindly by three different clinical laboratory technologists using two DiaMed particle gel immunoassays (ID-PaGIA) for IgA deficiency and for antibodies to IgA. The results were subsequently checked with the results of a fluorescence enzyme immunoassay conducted in the reference immunology laboratory. RESULTS: The ID-PaGIA had a sensitivity of 91.7% and specificity of 97.1% for the IgA deficiency test. With regards to the detection of anti-IgA antibodies, the sensitivity was 89.3% and the specificity 100%. The reproducibility of the test was 100%. DISCUSSION: The ID-PaGIA screening assays are suitable for the investigation of transfusion-related anaphylactic reactions in a routine blood bank laboratory. Although the gel card technique does not quantify the level of anti-IgA antibodies, it is readily available, providing an effective and simple method for the diagnosis of anti-IgA related anaphylaxis and guidance for the appropriate transfusion practice in an emergency.

Increased resistin in brain dead organ donors is associated with delayed graft function after kidney transplantation.

INTRODUCTION: Resistin increases during several inflammatory diseases and after intracerebral bleeding or head trauma. Resistin activates the endothelium and may initiate an inflammatory response. No data are available on resistin in brain dead donors (DBD) that regularly manifest a pronounced inflammatory state. METHODS: We analyzed plasma resistin in 63 DBDs and correlated results with donor variables and the postoperative course following kidney transplantation using organs from these donors. Endocan and monocyte chemotactic protein (MCP)-1 were also studied. Twenty-six live kidney donors (LD) and the corresponding kidney transplantations were used as controls. RESULTS: DBDs had higher resistin (median/range 30.75 ng/ml, 5.41-173.6) than LD (7.71 ng/ml, 2.41-15.74, p < 0.0001). Resistin in DBD correlated with delayed graft function (DGF) in the kidney recipients (r = 0.321, p < 0.01); receiver operating characteristic curve revealed an area under the curve of 0.765 (95% confidence interval [CI] 0.648-0.881, p < 0.01) and a cut-off value for resistin of 25 ng/ml; MCP-1 and endocan were higher in DBDs (p < 0.0001) but did not correlate with DGF or acute rejection. No relationship was found between the studied molecules and the postoperative course of LD kidney transplants. CONCLUSIONS: High resistin levels in the DBD before organ retrieval are associated with DGF after kidney transplantation. The resistin increase seems related to the inflammatory state after brain death but not to the cause of death.

Charlson's weighted index of comorbidities is useful in assessing the risk of death in septic patients.

PURPOSE: We investigated the efficiency of the Charlson's weighted index of comorbidities (WIC) in predicting the risk of death in septic patients. MATERIALS AND METHODS: A single-center, 3-year analysis of all septic patients was conducted; WIC and organ failure assessed using the Sepsis-related Organ Failure Assessment (SOFA) score were calculated retrospectively. RESULTS: Of 250 septic patients, 60 patients (34%) had WIC above 2. Fifty-five patients (22%) died during the hospitalization. Increasing WIC was associated with increased mortality. Mean WIC differed significantly between survivors and nonsurvivors (P < .0001), and the univariate logistic regression revealed that risk of death depends significantly of WIC with odds ratio of 1.59 (95% confidence interval, 1.31-1.93; P < .001). The accuracy of prediction for the risk of death was 79.2%. Receiver operating characteristics curve indicated a WIC of 2 as a cutoff value, the association between WIC greater than 2, and the risk of death being described by an odds ratio of 1.87 (95% confidence interval, 1.017-3.457; P = .042); the area under the receiver operating characteristics curve in predicting mortality was 0.81 for the SOFA score and 0.68 for WIC; WIC correlated positively with SOFA (r = 0.27; P < .0001). CONCLUSION: In septic patients, WIC is predictive for hospital mortality, and the risk of death significantly depends on WIC.

Clinical aspects and cytokine response in severe H1N1 influenza A virus infection.

INTRODUCTION: The immune responses in patients with novel A(H1N1) virus infection (nvA(H1N1)) are incompletely characterized. We investigated the profile of Th1 and Th17 mediators and interferon-inducible protein-10 (IP-10) in groups with severe and mild nvA(H1N1) disease and correlated them with clinical aspects. METHODS: Thirty-two patients hospitalized with confirmed nvA(H1N1) infection were enrolled in the study: 21 patients with nvA(H1N1)-acute respiratory distress syndrome (ARDS) and 11 patients with mild disease. One group of 20 patients with bacterial sepsis-ARDS and another group of 15 healthy volunteers were added to compare their cytokine levels with pandemic influenza groups. In the nvA(H1N1)-ARDS group, the serum cytokine samples were obtained on admission and 3 days later. The clinical aspects were recorded prospectively. RESULTS: In the nvA(H1N1)-ARDS group, obesity and lymphocytopenia were more common and IP-10, interleukin (IL)-12, IL-15, tumor necrosis factor (TNF)α, IL-6, IL-8 and IL-9 were significantly increased versus control. When comparing mild with severe nvA(H1N1) groups, IL-6, IL-8, IL-15 and TNFα were significantly higher in the severe group. In nonsurvivors versus survivors, IL-6 and IL-15 were increased on admission and remained higher 3 days later. A positive correlation of IL-6, IL-8 and IL-15 levels with C-reactive protein and with > 5-day interval between symptom onset and admission, and a negative correlation with the PaO(2):FiO(2) ratio, were found in nvA(H1N1) groups. In obese patients with influenza disease, a significant increased level of IL-8 was found. When comparing viral ARDS with bacterial ARDS, the level of IL-8, IL-17 and TNFα was significantly higher in bacterial ARDS and IL-12 was increased only in viral ARDS. CONCLUSIONS: In our critically ill patients with novel influenza A(H1N1) virus infection, the hallmarks of the severity of disease were IL-6, IL-15, IL-8 and TNFα. These cytokines, except TNFα, had a positive correlation with the admission delay and C-reactive protein, and a negative correlation with the PaO(2):FiO(2) ratio. Obese patients with nvA(H1N1) disease have a significant level of IL-8. There are significant differences in the level of cytokines when comparing viral ARDS with bacterial ARDS.