A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion

Autores
Porporato, Melina Mabel; Casal, Juan José; Dorr, Ricardo Alfredo; Ibarra, Cristina Adriana; Zotta, E.
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Hemolytic uremic syndrome (HUS) is a systemic disease charac- terized by variable degrees of acute nephropathy, thrombocytope- nia and microangiopathic hemolytic anemia. Laboratory and clinical parameters contribute very closely to progression of HUS. To better understand HUS evolution, the association between a set of labo- ratory data and a set of clinical parameters of a HUS population is investigated in this study.We conducted a retrospective study of patients (n = 20) attended with diagnosis of typical HUS in the Pediatric Service of the Hospital Posadas from January 2012 to July 2020. 70% were women, with a mean age of 2.19 year. All laboratory data including those from the emergency department (admission), hospitalization, up to the first post-discharge check-up by external clinics were standardized in innovative report formats.We perform the graphical representation of the evolution over time of several of the important clinical parameters (creatinine, hemato- crit, hemoglobin, among others). We find the creatinine curve rele- vant with well-defined moments in its evolution: rise, plateau and decline. We emphasize that 50% of the patients present a similar descent slope (- 0.353 +/- 0.022 mg/dL/day) regardless of the max- imum value reached by creatinine. Also, analytic platform KNIME was used to evaluate the multivariate relationship between labora- tory data and the evolution plasma creatinine values. We observed a strong correlation between the plasma values of creatinine-urea (positive, r = 0,818), platelets-uric acid (negative, r = 0,610) and di- rect bilirubin-uric acid (positive r = 0,735).The study should be complemented with the comparison of quali- tative variables, as well as with new parameters such as albumin- uria, podocyturia, etc.), in order to generate a model of prediction of patient evolution during the acute period of HUS the disease and after it.
Fil: Porporato, Melina Mabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Casal, Juan José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Dorr, Ricardo Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Ibarra, Cristina Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Zotta, E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
LXV Reunión anual de la Sociedad Argentina de Investigación Clínica; LXVII Reunión Anual de la Sociedad Argentina de Inmunología y Reunión anual de la Sociedad Argentina de Fisiología
Argentina
Sociedad Argentina de Investigación Clínica
Sociedad Argentina de Inmunología
Sociedad Argentina de Fisiología
Materia
HUS
MULTIVARIATE
EVOLUTION
LABORATORY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/194995
Acceder
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network_name_str CONICET Digital (CONICET)
spelling A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tionPorporato, Melina MabelCasal, Juan JoséDorr, Ricardo AlfredoIbarra, Cristina AdrianaZotta, E.HUSMULTIVARIATEEVOLUTIONLABORATORYhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Hemolytic uremic syndrome (HUS) is a systemic disease charac- terized by variable degrees of acute nephropathy, thrombocytope- nia and microangiopathic hemolytic anemia. Laboratory and clinical parameters contribute very closely to progression of HUS. To better understand HUS evolution, the association between a set of labo- ratory data and a set of clinical parameters of a HUS population is investigated in this study.We conducted a retrospective study of patients (n = 20) attended with diagnosis of typical HUS in the Pediatric Service of the Hospital Posadas from January 2012 to July 2020. 70% were women, with a mean age of 2.19 year. All laboratory data including those from the emergency department (admission), hospitalization, up to the first post-discharge check-up by external clinics were standardized in innovative report formats.We perform the graphical representation of the evolution over time of several of the important clinical parameters (creatinine, hemato- crit, hemoglobin, among others). We find the creatinine curve rele- vant with well-defined moments in its evolution: rise, plateau and decline. We emphasize that 50% of the patients present a similar descent slope (- 0.353 +/- 0.022 mg/dL/day) regardless of the max- imum value reached by creatinine. Also, analytic platform KNIME was used to evaluate the multivariate relationship between labora- tory data and the evolution plasma creatinine values. We observed a strong correlation between the plasma values of creatinine-urea (positive, r = 0,818), platelets-uric acid (negative, r = 0,610) and di- rect bilirubin-uric acid (positive r = 0,735).The study should be complemented with the comparison of quali- tative variables, as well as with new parameters such as albumin- uria, podocyturia, etc.), in order to generate a model of prediction of patient evolution during the acute period of HUS the disease and after it.Fil: Porporato, Melina Mabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; ArgentinaFil: Casal, Juan José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; ArgentinaFil: Dorr, Ricardo Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; ArgentinaFil: Ibarra, Cristina Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; ArgentinaFil: Zotta, E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; ArgentinaLXV Reunión anual de la Sociedad Argentina de Investigación Clínica; LXVII Reunión Anual de la Sociedad Argentina de Inmunología y Reunión anual de la Sociedad Argentina de FisiologíaArgentinaSociedad Argentina de Investigación ClínicaSociedad Argentina de InmunologíaSociedad Argentina de FisiologíaFundación Revista Medicina2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectReuniónJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/194995A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion; LXV Reunión anual de la Sociedad Argentina de Investigación Clínica; LXVII Reunión Anual de la Sociedad Argentina de Inmunología y Reunión anual de la Sociedad Argentina de Fisiología; Argentina; 2020; 101-1011669-9106CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.saic.org.ar/reunion-anualInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:54:41Zoai:ri.conicet.gov.ar:11336/194995instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:54:42.195CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion
title A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion
spellingShingle A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion
Porporato, Melina Mabel
HUS
MULTIVARIATE
EVOLUTION
LABORATORY
title_short A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion
title_full A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion
title_fullStr A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion
title_full_unstemmed A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion
title_sort A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion
dc.creator.none.fl_str_mv Porporato, Melina Mabel
Casal, Juan José
Dorr, Ricardo Alfredo
Ibarra, Cristina Adriana
Zotta, E.
author Porporato, Melina Mabel
author_facet Porporato, Melina Mabel
Casal, Juan José
Dorr, Ricardo Alfredo
Ibarra, Cristina Adriana
Zotta, E.
author_role author
author2 Casal, Juan José
Dorr, Ricardo Alfredo
Ibarra, Cristina Adriana
Zotta, E.
author2_role author
author
author
author
dc.subject.none.fl_str_mv HUS
MULTIVARIATE
EVOLUTION
LABORATORY
topic HUS
MULTIVARIATE
EVOLUTION
LABORATORY
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Hemolytic uremic syndrome (HUS) is a systemic disease charac- terized by variable degrees of acute nephropathy, thrombocytope- nia and microangiopathic hemolytic anemia. Laboratory and clinical parameters contribute very closely to progression of HUS. To better understand HUS evolution, the association between a set of labo- ratory data and a set of clinical parameters of a HUS population is investigated in this study.We conducted a retrospective study of patients (n = 20) attended with diagnosis of typical HUS in the Pediatric Service of the Hospital Posadas from January 2012 to July 2020. 70% were women, with a mean age of 2.19 year. All laboratory data including those from the emergency department (admission), hospitalization, up to the first post-discharge check-up by external clinics were standardized in innovative report formats.We perform the graphical representation of the evolution over time of several of the important clinical parameters (creatinine, hemato- crit, hemoglobin, among others). We find the creatinine curve rele- vant with well-defined moments in its evolution: rise, plateau and decline. We emphasize that 50% of the patients present a similar descent slope (- 0.353 +/- 0.022 mg/dL/day) regardless of the max- imum value reached by creatinine. Also, analytic platform KNIME was used to evaluate the multivariate relationship between labora- tory data and the evolution plasma creatinine values. We observed a strong correlation between the plasma values of creatinine-urea (positive, r = 0,818), platelets-uric acid (negative, r = 0,610) and di- rect bilirubin-uric acid (positive r = 0,735).The study should be complemented with the comparison of quali- tative variables, as well as with new parameters such as albumin- uria, podocyturia, etc.), in order to generate a model of prediction of patient evolution during the acute period of HUS the disease and after it.
Fil: Porporato, Melina Mabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Casal, Juan José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Dorr, Ricardo Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Ibarra, Cristina Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Zotta, E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
LXV Reunión anual de la Sociedad Argentina de Investigación Clínica; LXVII Reunión Anual de la Sociedad Argentina de Inmunología y Reunión anual de la Sociedad Argentina de Fisiología
Argentina
Sociedad Argentina de Investigación Clínica
Sociedad Argentina de Inmunología
Sociedad Argentina de Fisiología
description Hemolytic uremic syndrome (HUS) is a systemic disease charac- terized by variable degrees of acute nephropathy, thrombocytope- nia and microangiopathic hemolytic anemia. Laboratory and clinical parameters contribute very closely to progression of HUS. To better understand HUS evolution, the association between a set of labo- ratory data and a set of clinical parameters of a HUS population is investigated in this study.We conducted a retrospective study of patients (n = 20) attended with diagnosis of typical HUS in the Pediatric Service of the Hospital Posadas from January 2012 to July 2020. 70% were women, with a mean age of 2.19 year. All laboratory data including those from the emergency department (admission), hospitalization, up to the first post-discharge check-up by external clinics were standardized in innovative report formats.We perform the graphical representation of the evolution over time of several of the important clinical parameters (creatinine, hemato- crit, hemoglobin, among others). We find the creatinine curve rele- vant with well-defined moments in its evolution: rise, plateau and decline. We emphasize that 50% of the patients present a similar descent slope (- 0.353 +/- 0.022 mg/dL/day) regardless of the max- imum value reached by creatinine. Also, analytic platform KNIME was used to evaluate the multivariate relationship between labora- tory data and the evolution plasma creatinine values. We observed a strong correlation between the plasma values of creatinine-urea (positive, r = 0,818), platelets-uric acid (negative, r = 0,610) and di- rect bilirubin-uric acid (positive r = 0,735).The study should be complemented with the comparison of quali- tative variables, as well as with new parameters such as albumin- uria, podocyturia, etc.), in order to generate a model of prediction of patient evolution during the acute period of HUS the disease and after it.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Reunión
Journal
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/194995
A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion; LXV Reunión anual de la Sociedad Argentina de Investigación Clínica; LXVII Reunión Anual de la Sociedad Argentina de Inmunología y Reunión anual de la Sociedad Argentina de Fisiología; Argentina; 2020; 101-101
1669-9106
CONICET Digital
CONICET
url http://hdl.handle.net/11336/194995
identifier_str_mv A multivariate relationship between laboratory data during the evolution of typical hemolytic uremic syndrome children popula- tion; LXV Reunión anual de la Sociedad Argentina de Investigación Clínica; LXVII Reunión Anual de la Sociedad Argentina de Inmunología y Reunión anual de la Sociedad Argentina de Fisiología; Argentina; 2020; 101-101
1669-9106
CONICET Digital
CONICET
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language eng
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dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Fundación Revista Medicina
publisher.none.fl_str_mv Fundación Revista Medicina
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