Predictors of renal damage in systemic lupus erythematous patients: data from a multiethnic, multinational Latin American lupus cohort (GLADEL).
Cristina Reatégui-SokolovaManuel Francisco Ugarte-GilGuillermina B HarveyDaniel WojdylaGuillermo J Pons-EstelRosana QuintanaRosa M Serrano-MoralesMónica P SacnunLuis J CatoggioEnrique Roberto SorianoMercedes A GarcíaVerónica SauritAlejandro AlvarellosFrancisco CaeiroGuillermo A BerbottoEmilia I SatoEduardo Ferreira Borba NetoEloisa BonfaAna Carolina de Oliveira E Silva MontandonNilzio A Da SilvaFernando CavalcantiGloria VásquezMarlene Guibert-ToledanoGil A Reyes-LlerenaLoreto MassardoOscar J NeiraMario H CardielLeonor A Barile-FabrisMary-Carmen AmigoLuis H SilveiraMargarita Portela-HernándezIgnacio Garcia de la TorreMaría Inés SegamiRosa Chacón-DiazMaría H Esteva-SpinettiGraciela S AlarcónBernardo A Pons-Estelnull nullPublished in: RMD open (2021)
Early response, antimalarial use and high SES were protective of renal damage, while male gender, hypertension and higher renal activity were risk factors for its occurrence in patients with LN.
Keyphrases
- systemic lupus erythematosus
- end stage renal disease
- chronic kidney disease
- blood pressure
- ejection fraction
- disease activity
- newly diagnosed
- oxidative stress
- risk assessment
- electronic health record
- rheumatoid arthritis
- peritoneal dialysis
- machine learning
- artificial intelligence
- deep learning
- arterial hypertension