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Toxicity from methotrexate overdosing is life threatening condition that requires prompt recognition and early treatment. A 71-year-old man from rural Bhutan with diabetes mellitus had symmetrical small joint pain for 3 years associated with early morning stiffness. He was evaluated and diagnosed with seropositive rheumatoid arthritis in a hospital in neighbouring India. He was initiated on Methotrexate and Hydroxychloroquine. The patient had inadvertently taken Methotrexate 10 mg OD for 2 weeks. Following this, he developed painful ulcers on the lips preventing him from swallowing and ulcers around the corona on the penis. He also had intermittent fever with chills. On examination, he had fluid responsive hypotension and pancytopenia without bleeding manifestations. He was managed with intravenous folinic acid, subcutaneous granulocyte colony stimulating factor and intravenous cloxacillin. He had an uneventful recovery and methotrexate has been restarted following adequate patient education. Education of patient and family members is key in preventing medication errors. Early identification and timely management of methotrexate toxicity is key in preventing mortality., Competing Interests: The authors declare no conflicts of interest., (© 2024 The Author(s). Clinical Case Reports published by John Wiley & Sons Ltd.)

Traditionally, patient travel history has been used to distinguish imported from autochthonous malaria cases, but the dormant liver stages of Plasmodium vivax confound this approach. Molecular tools offer an alternative method to identify, and map imported cases. Using machine learning approaches incorporating hierarchical fixation index and decision tree analyses applied to 799 P. vivax genomes from 21 countries, we identified 33-SNP, 50-SNP and 55-SNP barcodes (GEO33, GEO50 and GEO55), with high capacity to predict the infection's country of origin. The Matthews correlation coefficient (MCC) for an existing, commonly applied 38-SNP barcode (BR38) exceeded 0.80 in 62% countries. The GEO panels outperformed BR38, with median MCCs > 0.80 in 90% countries at GEO33, and 95% at GEO50 and GEO55. An online, open-access, likelihood-based classifier framework was established to support data analysis (vivaxGEN-geo). The SNP selection and classifier methods can be readily amended for other use cases to support malaria control programs., (© 2022. The Author(s).)