Overlapping pathways to transplant glomerulopathy: chronic humoral rejection, hepatitis C infection, and thrombotic microangiopathy.

Transplant glomerulopathy (TG) has received much attention in recent years as a symptom of chronic humoral rejection; however, many cases lack C4d deposition and/or circulating donor-specific antibodies (DSAs). To determine the contribution of other causes, we studied 209 consecutive renal allograft indication biopsies for chronic allograft dysfunction, of which 25 met the pathological criteria of TG. Three partially overlapping etiologies accounted for 21 (84%) cases: C4d-positive (48%), hepatitis C-positive (36%), and thrombotic microangiopathy (TMA)-positive (32%) TG. The majority of patients with confirmed TMA were also hepatitis C positive, and the majority of hepatitis C-positive patients had TMA. DSAs were significantly associated with C4d-positive but not with hepatitis C-positive TG. The prevalence of hepatitis C was significantly higher in the TG group than in 29 control patients. Within the TG cohort, those who were hepatitis C-positive developed allograft failure significantly earlier than hepatitis C-negative patients. Thus, TG is not a specific diagnosis but a pattern of pathological injury involving three major overlapping pathways. It is important to distinguish these mechanisms, as they may have different prognostic and therapeutic implications.

Are niche-based species distribution models transferable in space?

Aim To assess the geographical transferability of niche-based species distribution models fitted with two modelling techniques. Location Two distinct geographical study areas in Switzerland and Austria, in the subalpine and alpine belts. Methods Generalized linear and generalized additive models (GLM and GAM) with a binomial probability distribution and a logit link were fitted for 54 plant species, based on topoclimatic predictor variables. These models were then evaluated quantitatively and used for spatially explicit predictions within (internal evaluation and prediction) and between (external evaluation and prediction) the two regions. Comparisons of evaluations and spatial predictions between regions and models were conducted in order to test if species and methods meet the criteria of full transferability. By full transferability, we mean that: (1) the internal evaluation of models fitted in region A and B must be similar; (2) a model fitted in region A must at least retain a comparable external evaluation when projected into region B, and vice-versa; and (3) internal and external spatial predictions have to match within both regions. Results The measures of model fit are, on average, 24% higher for GAMs than for GLMs in both regions. However, the differences between internal and external evaluations (AUC coefficient) are also higher for GAMs than for GLMs (a difference of 30% for models fitted in Switzerland and 54% for models fitted in Austria). Transferability, as measured with the AUC evaluation, fails for 68% of the species in Switzerland and 55% in Austria for GLMs (respectively for 67% and 53% of the species for GAMs). For both GAMs and GLMs, the agreement between internal and external predictions is rather weak on average (Kulczynski's coefficient in the range 0.3-0.4), but varies widely among individual species. The dominant pattern is an asymmetrical transferability between the two study regions (a mean decrease of 20% for the AUC coefficient when the models are transferred from Switzerland and 13% when they are transferred from Austria). Main conclusions The large inter-specific variability observed among the 54 study species underlines the need to consider more than a few species to test properly the transferability of species distribution models. The pronounced asymmetry in transferability between the two study regions may be due to peculiarities of these regions, such as differences in the ranges of environmental predictors or the varied impact of land-use history, or to species-specific reasons like differential phenotypic plasticity, existence of ecotypes or varied dependence on biotic interactions that are not properly incorporated into niche-based models. The lower variation between internal and external evaluation of GLMs compared to GAMs further suggests that overfitting may reduce transferability. Overall, a limited geographical transferability calls for caution when projecting niche-based models for assessing the fate of species in future environments.

Hyperkalemia. A prognostic factor during acute severe hypothermia.

When hypothermic patients appear to be dead, the decision to resuscitate may be difficult due to lack of reliable criteria of death. To discover useful prognostic indicators, we reviewed the hospital charts of nine hypothermic victims of snow avalanches (group A: median value of rectal temperature, 29.6 degrees C; range, less than 12 degrees C to 34 degrees C) and of 15 patients with hypothermia following acute drug intoxication and/or cold exposure (group B: 28.8 degrees C; range, 25.5 degrees C to 32 degrees C. In group A, plasma potassium level on admission was extremely high (14.5 mmol/L; range, 6.8 to 24.5 mmol/L) compared with that obtained in group B (3.5 mmol/L; range, 2.7 to 5.3 mmol/L). All patients in group A were in cardiorespiratory arrest. None could be successfully resuscitated despite effective rewarming by cardiopulmonary bypass or peritoneal lavage. In contrast, all of the patients in group B recovered from hypothermia, including two in cardiorespiratory arrest. Thus, extreme hyperkalemia during acute hypothermia appears to be a reliable marker of death. It might be used to select those patients in whom heroic resuscitation efforts can be useful.

Overlapping Pathways to Transplant Glomerulopathy: Chronic Humoral Rejection, Hepatitis C Infection and Thrombotic Microangiopathy

Background:Transplant glomerulopathy (TG) has received much attention in recent years as a manifestation of chronic humoral rejection (CHR). However, many cases lack C4d deposition and/or circulating donor-specifi c antibodies, and the contribution of other potential causes has not been fully addressed.Methods: Of 209 consecutive renal allograft indication biopsies performed for chronic allograft dysfunction, 25 that met pathologic criteria of TG (>10% duplication of the GBM without immune complex deposition) were examined for various etiologies, including hepatitis C infection (HCV), thrombotic microangiopathy (TMA), and CHR. 29 cases of biopsy-proven isolated chronic calcineurin inhibitor toxicity from the same time period were used as controls for comparing the prevalence of HCV.Results: Three partially overlapping categories accounted for 84% of the cases: C4d+TG (48%), HCV+TG (36%) and TMA+TG (32%). The majority of TMA+ cases were HCV+ (63%) and the majority of HCV+ cases had TMA (56%). Donor specifi c antibodies were associated with C4d+TG (7/8 vs. 1/4 C4d-TG; P<0.02), but not with HCV+TG. The prevalence of HCV was higher in the TG group than in 29 control patients without TG (36% vs. 7%, P<0.01). HCV+TG patients developed allograft failure earlier than HCV-TG patients (67.2 ± 60.2 mo versus 153.4 ± 126.2 mo, P=0.02). On a multivariate analysis, out of HCV, TG and C4d, only HCV was found to be a signifi cant risk factor for a more rapid allograft loss.Conclusion: We conclude that TG is not a specifi c diagnosis, but a pattern of pathologic injury with 3 major overlapping pathways involving CHR, HCV infection and TMA. It is important to distinguish these mechanisms, as they may have differentprognostic and therapeutic implications.

Malaria real-time PCR: correlation with clinical presentation.

Among 112 patients infected only by Plasmodium falciparum, WHO criteria of severity were compared with parasite load assessed by microscopy and quantitative PCR. Clinical severity was significantly correlated with higher parasite load as determined by microscopy (p < 0.001) and by PCR (p < 0.001). Hence, quantitative PCR might be useful to predict outcome.