Artificial Intelligence-Based Portable Bioelectronics Platform for SARS-CoV-2 Diagnosis with Multi-nucleotide Probe Assay for Clinical Decisions.

In the context of the recent pandemic, the necessity of inexpensive and easily accessible rapid-test kits is well understood and need not be stressed further. In light of this, we report a multi-nucleotide probe-based diagnosis of SARS-CoV-2 using a bioelectronics platform, comprising low-cost chemiresistive biochips, a portable electronic readout, and an Android application for data acquisition with machine-learning-based decision making. The platform performs the desired diagnosis from standard nasopharyngeal and/or oral swabs (both on extracted and non-extracted RNA samples) without amplifying the viral load. Being a reverse transcription polymerase chain reaction-free hybridization assay, the proposed approach offers inexpensive, fast (time-to-result: ≤ 30 min), and early diagnosis, as opposed to most of the existing SARS-CoV-2 diagnosis protocols recommended by the WHO. For the extracted RNA samples, the assay accounts for 87 and 95.2% test accuracies, using a heuristic approach and a machine-learning-based classification method, respectively. In case of the non-extracted RNA samples, 95.6% decision accuracy is achieved using the heuristic approach, with the machine-learning-based best-fit model producing 100% accuracy. Furthermore, the availability of the handheld readout and the Android application-based simple user interface facilitates easy accessibility and portable applications. Besides, by eliminating viral RNA extraction from samples as a pre-requisite for specific detection, the proposed approach presents itself as an ideal candidate for point-of-care SARS-CoV-2 diagnosis.

An audit of transfusion reaction monitoring and reporting at a cancer hospital in Pakistan - a step towards haemovigilance.

OBJECTIVE: To monitor the frequencies of different adverse transfusion reactions and to assess the compliance of clinical staff with the process of sending proper transfusion reaction workup within the specified time. METHODS: The retrospective audit was conducted at the blood bank of Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan, and comprised all transfusion reaction forms received from July 1, 2017, to June 30, 2018. The forms were analysed for type of blood component, time in which it was received by the blood bank, whether or not the form was completely filled, whether or not all required samples were provided, and the type of reaction. RESULTS: Of the 12,787 units dispensed and transfused, 50(0.39%) transfusion reactions were noted. Allergic was the most frequent type 24(48%). Red cells accounted for 38(76%) of the reactions. In 58(95%) cases, reaction forms were completely filled. Blood bags in 36(59%) and post-transfusion ethylenediaminetetra acetic acid samples in 35(57.3%) cases were received at blood bank within 2 hours of reaction. CONCLUSIONS: Incidence of transfusion reactions was found to be low as there was good compliance with procedures on the part of the clinical staff.