Back

Early Hemoglobin kinetics in response to ribavirin: Safety lesson learned from Hepatitis C to CoVID-19 therapy

Rivero-Juarez, A.; Frias, M.; Machuca, I.; Gallo, M.; Lopez-Lopez, P.; Camacho, A.; Rivero, A.

2020-06-29 toxicology
10.1101/2020.06.29.20142281 medRxiv
Show abstract

BackgroundRibavirin (RBV) is been used for SARS-CoV-2 infection. This drug is associated with a wide range of side effects, mainly anemia, so its use in patients with potential respiratory affectation could not be appropriate. The evidences of adverse events associated with RBV-use has mainly been derived in the context of hepatitis C (HCV) treatment, however the possible use of RBV in CoVID-19 patients could be limited to 14 days. MethodsLongitudinal study including HIV/HCV coinfected patients. We evaluate the hemoglobin dynamics and reductions as well as evaluate the development rate of anemia during the first 2 weeks of therapy in HCV infected patients. Results189 patients were included in the study. The median hemoglobin levels were 14.6 g/dL (IQR: 13.2-15.6 g/dL) and 13.5 g/dL (IQR: 12.3-14.5 g/dL) at weeks 1 and 2 of therapy, respectively. A cumulative number of 27 (14.2%) patients developed anemia (23 grade 1 [12.1%] and 4 grade 2 [2.1%]). We identify a baseline hemoglobin levels of 14 g/dL as the better cut-off to identify those patients with a high chance to develop anemia. Of the 132 patients with baseline hemoglobin level >14 g/dL, 8 developed anemia (6.1%) compared with 19 of 57 (33.3%) with hemoglobin levels lower than 14 g/dL (p < 0.001). ConclusionsOur study shows valuable information about the early hemoglobin kinetic timing in patients on RBV-therapy, that could be useful to tailor CoVID-19 treatment if RBV use is considered.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.