A multivariate relationship between laboratory data during the evolution of typical Hemolytic Uremic Syndrome children population

PORPORATO MELINA; CASAL JUAN JOSÉ; TORIANO ROXANA; DORR RICARDO; IBARRA CRISTINA; ZOTTA ELSA

Congreso; Reunión de las Sociedades de Biociencias; 2020

SAIC, SAI, SAFIS

 Hemolyticuremic syndrome (HUS) is a systemic diseasecharacterized by variable degrees of acute nephropathy, thrombocytopenia andmicroangiopathic hemolytic anemia. Laboratory and clinical parameterscontribute very closely to progression of HUS. To better understand HUSevolution, the association between a set of laboratory data and a set ofclinical parameters of a HUS population is investigated in this study. Weconducted a retrospective study of patients (n = 20) attended with diagnosis oftypical HUS in the Pediatric Service of the Hospital Posadas from January 2012to July 2020. 70% were women, with a mean age of 2.19 year. All laboratory dataincluding those from the emergency department (admission), hospitalization, upto the first post-discharge check-up by external clinics were standardized ininnovative report formats.We perform the graphical representation of the evolutionover time of several of the important clinical parameters (creatinine,hematocrit, hemoglobin, among others). We find the creatinine curve relevantwith well-defined moments in its evolution: rise, plateau and decline. Weemphasize that 50% of the patients present a similar descent slope (- 0.353 +/-0.022 mg/dL/day) regardless of the maximum value reached by creatinine. Also, analytic platform KNIME was used to evaluate themultivariate relationship between laboratory data and the evolution plasmacreatinine values. We observed a strong correlation between the plasma values​​of creatinine-urea (positive, r = 0,818),platelets-uric acid (negative, r = 0,610) anddirect bilirubin-uric acid (positive r = 0,735).Thestudy should be complemented with the comparison of qualitative variables, aswell as with new parameters such as albuminuria, podocyturia, etc.), in orderto generate a model of prediction of patient evolution during the acute periodof HUS the disease and after it.<!-- /* Font Definitions */ @font-face{font-family:"Cambria Math";panose-1:2 4 5 3 5 4 6 3 2 4;mso-font-charset:0;mso-generic-font-family:roman;mso-font-pitch:variable;mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face{font-family:Calibri;panose-1:2 15 5 2 2 2 4 3 2 4;mso-font-charset:0;mso-generic-font-family:swiss;mso-font-pitch:variable;mso-font-signature:-1610611985 1073750139 0 0 159 0;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal{mso-style-unhide:no;mso-style-qformat:yes;mso-style-parent:"";margin:0cm;margin-bottom:.0001pt;mso-pagination:widow-orphan;font-size:12.0pt;font-family:"Calibri",sans-serif;mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-fareast;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-font-width:90%;mso-fareast-language:ES;font-weight:bold;}.MsoChpDefault{mso-style-type:export-only;mso-default-props:yes;font-family:"Calibri",sans-serif;mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Calibri;mso-fareast-theme-font:minor-latin;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-fareast-language:EN-US;}size:612.0pt 792.0pt;margin:70.85pt 3.0cm 70.85pt 3.0cm;mso-header-margin:36.0pt;mso-footer-margin:36.0pt;mso-paper-source:0;}div.WordSection1{page:WordSection1;}