RESUMO
BACKGROUND: Toxic substances may be inhaled or aspirated not always by patients themselves but sometimes by healthcare providers unintentionally by nasogastric administrations or medications. Aspirated toxic particles may cause injury in the pulmonary epithelium at various levels of the respiratory tract, leading to a spectrum varying from simple symptoms to severe chronic disease. Imaging features of substances are different depending on their structure and are not well known. Moreover, on follow-up, radiologic findings are not well correlated with clinical findings which progress or recover more rapidly. CASE: In this case series, we report three different chemical pneumonitis due to aspiration of exogenous substances of paint thinner, activated charcoal and liquid paraffin. We present three cases with chest radiographs, distinctive computed tomography findings and follow-up images. CONCLUSIONS: Aspiration of exogenous materials reveals typical imaging findings such as the metallic density of charcoals, fat attenuation of liquid paraffin and necrotic areas within consolidation in hydrocarbon poisoning. Recognition of imaging findings is very important for the diagnosis and characterization of toxic substances.
Assuntos
Pneumonia Lipoide , Pneumonia , Criança , Humanos , Pulmão , Óleo Mineral , Tomografia Computadorizada por Raios XRESUMO
SLE is a disease of the adaptive immune system where T lymphocyte dysfunction has an important role as well. We assessed the plasma levels of checkpoint receptors expressed on T cells, along with Galectin-9 to reflect type-1 IFN activity and IL-2Rα in childhood SLE patients. Forty-nine children with SLE and15 healthy controls were included. SLEDAI scores were evaluated at the time of sampling. CD25 (IL-2Rα), 4-1BB, B7.2 (CD86), TGF-ß1, CTLA-4, PD-L1, PD-1, Tim-3, LAG- 3, Galectin-9 levels were studied by cytometric bead-based multiplex assay panel. Galectin-9 and PD-L1 were significantly higher in SLE patients. Other checkpoint proteins and IL-2Rα were also higher but did not reach statistical significance. There were significant correlations between SLEDAI and IL-2Rα, Galectin-9 and PDL1. There were three clinical clusters: Cluster 1 included patients with no major organ involvement, cluster 2 had predominantly haematological involvement(n=16) and cluster 3 (n=11) had predominantly renal involvement. Checkpoint proteins were not different among these three clusters. Our data supports that Galectin 9 and IL-2Rα are good markers for disease activity in childhood SLE. We need larger series to evaluate differences between disease clusters in SLE. We failed to show a significant correlation with checkpoint proteins and SLEDAI except for PDL1.