Relationship between Pathologic and Laboratory Data of Children Suffering from Hemolytic Uremic Syndrome (HUS): A Center study

Background and objective: hemolytic uremic syndrome (hus) is the most prevalent causeof children renal insufficiency which in many cases (90%) occurs following diarrhea. hemolyticmicroangiopathic anemia, thrombocytopenia, and renal insufficiency are main symptoms ofhemolytic uremic syndrome. this study aims to consider the relationship between pathologic dataof nephro-biopsy and laboratory data of children suffering from the disease.material and methods: this study has been carried out in retrospective, cross-sectional anddescriptive procedures. for this purpose, 28 patients with an average age of 6 years suffering fromuremic hemolytic syndrome referred to ali asghar hospital over the last 10 years. light microscopicdata of glomeruli, arterioles, arteries, interstitial tissue, medullary vessels and tubules wereevaluated. laboratory data including hematology, biochemistry, and urinary tests were extractedfrom patients’ files. data were analyzed using spss software.results: the most prevalent damages in glomeruli were decreased capillary lumen and thickeningof its wall and in arterioles were mild decrease of lumen and in artery thickening of intima and mildinfiltration of inflammatory cells and mild edema in interstitial and hyperemia in vaso recta andthe most prevalent pathology in tubules was the existence of cast. significant relationship was foundout between time of recovery of hematological disorders and medullary vessels congestion and reduplicationof arterial inner elastic lamina and also improvement of biochemistry changes withglomerulus necrosis and leucocytes assembly in vaso recta. arteriolar rate with creatinine serumlevel at discharge time was related and tubular rate with platelet count at discharging time was alsorelated.conclusion: biopsy is an important tool for prognosis and determination of disease intensity.there was valuable statistical relationship between some laboratory data at the time of referral andpathological data which even could influence intensity or prognosis of disease.