Portable automatic text classification for adverse drug reaction detection via multi-corpus training

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Cadec: A corpus of adverse drug event annotations

CSIRO Adverse Drug Event Corpus (Cadec) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in colloquial language and often deviates from formal English grammar and punctuation rules. Annotations contain mentions of concepts such as drugs, adverse effects, symptoms, and diseases linked to their corresponding concepts in controlled vocabularies, i.e., SNOMED Clinical Terms and MedDRA. The quality of the annotations is ensured by annotation guidelines, multi-stage annotations, measuring inter-annotator agreement, and final review of the annotations by a clinical terminologist. This corpus is useful for studies in the area of information extraction, or more generally text mining, from social media to detect possible adverse drug reactions from direct patient reports. The corpus is publicly available at https://data.csiro.au.¹     

HIV drug resistance mutations following poor adherence in HIV‐infected patient: a case report

Acquired HIV drug resistance following poor adherence is common. We report a case of HIV‐infected patient with poor CD4 gain and self reported poor adherence. Investigations revealed high viral load and resistance to NRTIs and NNRTIs with sensitivity to boosted PIs. HIVDR mutations create treatment challenges in resource limited settings.     

门急诊患者质子泵抑制剂用药合理性评价

<正>经过20多年的临床实践,质子泵抑制剂(proton pump inhibitors,PPIs)已成为目前临床酸相关疾病治疗中应用广泛、疗效最好的药物。PPIs的应用被誉为20世纪消化系统疾病治疗史上的一座里程碑。但随着PPIs应用人群的不断扩大,其潜在风险和不合理应用的问题渐有报道。国内外的调查研究[1-3]均发现存在PPIs过度使用的现象,这不仅浪费了有限的医疗资源,也使患者增加发生药物不良反应的风险[4]。