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1.
Value in Health ; 26(6 Supplement):S408, 2023.
Article in English | EMBASE | ID: covidwho-20233488

ABSTRACT

Objectives: Due to large sample sizes, electronic medical records (EMR) databases have the potential to provide pivotal insights into patients diagnosed with rare, orphan, or emerging diseases. This study aimed to explore the patient profile of African and American trypanosomiasis, both vector-borne parasitic diseases, pre-and post the COVID-19 pandemic using the TriNetX Network. Method(s): From Jan 1, 2018 - Nov 30, 2019 (pre-COVID) and Jan 1, 2020 - Nov 30, 2021 (post-COVID) patients were queried from the TriNetX Global health research network, inclusive of 88 million patients from the United States (US), Europe, the Middle East, Africa, Latin America, and Asia Pacific. Eligible patients with an ICD-10 diagnosis code of African trypanosomiasis or American trypanosomiasis were identified (2280 patients on 22-Dec-2022) and analyzed separately, pre- and post-COVID. Result(s): We identified 340 patients pre- and 960 patients post-COVID with African trypanosomiasis and 960 patients pre- and 190 patients post-COVID with American trypanosomiasis. Most patients resided in the US. Pre-COVID African trypanosomiasis patients had a mean age of 38 and were 59% female while post-COVID patients had a mean age of 34 and were 57% female. Pre-COVID American trypanosomiasis patients had a mean age of 49 and were 57% female while post-COVID patients had a mean age of 49 and were 53% female. Top co-diagnoses included diseases of the respiratory (85%, 84%) and nervous systems (82%, 79%) for patients with African trypanosomiasis and diseases of the digestive (69%, 54%) and circulatory systems (68%, 61%) for patients with American trypanosomiasis in both the pre- and post-COVID cohorts, respectively. Conclusion(s): Using real-world EMR data we were able to obtain patient profiles for a rare disease (African trypanosomiasis) and a common, emerging disease (American trypanosomiasis). This informationsupportsutilizing EMR data for describing patient populations in rare, orphan, or emerging diseases, which may aid drug development for these indications.Copyright © 2023

2.
Pharmacoepidemiology and Drug Safety ; 31:411-412, 2022.
Article in English | Web of Science | ID: covidwho-2083471
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