Assessment of inter-institutional post-operative hypoparathyroidism status using a common data model (Preprint) Article Swipe

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Joon-Hyop Lee , Su-Hyun Kim , Kwangsoo Kim , Young Jun Chai , Hyeong Won Yu , Su‐jin Kim , June Young Choi , Yoo Seung Chung , Kyu Eun Lee , Ka Hee Yi ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.2196/preprints.30635

BACKGROUND Post-thyroidectomy hypoparathyroidism may result in various transient or permanent symptoms, ranging from tingling sensation to severe breathing difficulties. Its incidence varies among surgeons and institutions, making it difficult to determine its actual incidence and associated factors. OBJECTIVE This study attempted to estimate the incidence of post-operative hypoparathyroidism in patients at two tertiary institutions that share a common data model, the Observational Health Data Sciences and Informatics. METHODS This study used the Common Data Model to extract explicitly specified encoding and relationships among concepts using standardized vocabularies. The EDI-codes of various thyroid disorders and thyroid operations were extracted from two separate tertiary hospitals between January 2013 and December 2018. Patients were grouped into no evidence of/transient/permanent hypoparathyroidism groups to analyze the likelihood of hypoparathyroidism occurrence related to operation types and diagnosis RESULTS Of the 4848 eligible patients at the two institutions who underwent thyroidectomy, 1370 (28.26%) experienced transient hypoparathyroidism and 251 (5.18%) experienced persistent hypoparathyroidism. Univariate logistic regression analysis predicted that, relative to total bilateral thyroidectomy, radical tumor resection was associated with a 48% greater likelihood of transient hypoparathyroidism and a 102% greater likelihood of persistent hypoparathyroidism. Moreover, multivariate logistic analysis found that radical tumor resection was associated with a 50% greater likelihood of transient hypoparathyroidism and a 97% greater likelihood of persistent hypoparathyroidism than total bilateral thyroidectomy. CONCLUSIONS These findings, by integrating and analyzing two databases, suggest that this analysis could be expanded to include other large databases that share the same Observational Health Data Sciences and Informatics protocol.

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Hypoparathyroidism Thyroidectomy Medicine Incidence (geometry) Logistic regression Pediatrics Surgery Thyroid Internal medicine Mathematics Geometry

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Type: preprint
Language: en
Landing Page: https://doi.org/10.2196/preprints.30635
OA Status: gold
Related Works: 10
OpenAlex ID: https://openalex.org/W4206299339

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OpenAlex ID: https://openalex.org/W4206299339

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DOI: https://doi.org/10.2196/preprints.30635

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Title: Assessment of inter-institutional post-operative hypoparathyroidism status using a common data model (Preprint)

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Type: preprint

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Language: en

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Publication year: 2021

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Publication date: 2021-05-22

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Authors: Joon-Hyop Lee, Su-Hyun Kim, Kwangsoo Kim, Young Jun Chai, Hyeong Won Yu, Su‐jin Kim, June Young Choi, Yoo Seung Chung, Kyu Eun Lee, Ka Hee Yi

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Landing page: https://doi.org/10.2196/preprints.30635

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Concepts: Hypoparathyroidism, Thyroidectomy, Medicine, Incidence (geometry), Logistic regression, Pediatrics, Surgery, Thyroid, Internal medicine, Mathematics, Geometry

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