Development and Validation of ‘Prediction of Adverse Drug Reactions in Older Inpatients (PADROI)’ Risk Assessment Tool https://t.co/swTY8dty3G
Development and Validation of 'Prediction of Adverse Drug Reactions in Older Inpatients (PADROI)' Risk Assessment Tool https://t.co/vmc9gtWZC3
RT @fredkitutu: Yadesa et al developed an ADR prediction tool with excellent AUROC (0.917), high sensitivity (87.1%) and specificity (90.3%…
RT @fredkitutu: Yadesa et al developed an ADR prediction tool with excellent AUROC (0.917), high sensitivity (87.1%) and specificity (90.3%…
RT @fredkitutu: Yadesa et al developed an ADR prediction tool with excellent AUROC (0.917), high sensitivity (87.1%) and specificity (90.3%…
RT @fredkitutu: Yadesa et al developed an ADR prediction tool with excellent AUROC (0.917), high sensitivity (87.1%) and specificity (90.3%…
Great work from the team 👏. We need more LMIC-relevant clinical predictive tools.
RT @fredkitutu: @arcad_institute @StellaNanyonga @IAmTheOlum @zakumumpa @MinofHealthUG @Mak_SHS @Makerere Using a prediction tool, morbidit…
@arcad_institute @StellaNanyonga @IAmTheOlum @zakumumpa @MinofHealthUG @Mak_SHS @Makerere Using a prediction tool, morbidity and economic costs form adverse drug reactions among the high risk elderly populations can be curtailed. Paper by Yadesa et al doi
Yadesa et al developed an ADR prediction tool with excellent AUROC (0.917), high sensitivity (87.1%) and specificity (90.3%). It has high potential for clinical applicability to improve patient safety in the elderly @Makerere https://t.co/Q6ROq8PSWk