Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38505, first published .
Correction: Mining Electronic Health Records for Drugs Associated With 28-day Mortality in COVID-19: Pharmacopoeia-wide Association Study (PharmWAS)

Correction: Mining Electronic Health Records for Drugs Associated With 28-day Mortality in COVID-19: Pharmacopoeia-wide Association Study (PharmWAS)

Correction: Mining Electronic Health Records for Drugs Associated With 28-day Mortality in COVID-19: Pharmacopoeia-wide Association Study (PharmWAS)

Corrigenda and Addenda

1Inserm, Centre de Recherche des Cordeliers, Sorbonne Université, Paris, France

2Informatique biomédicale, Hôpital Necker-Enfants Malades, Assistance Publique - Hôpitaux de Paris, Paris, France

3HeKA Team, Inria, Paris, France

4Inserm UMR 1163, Data Science Platform, Université de Paris, Imagine Institute, Paris, France

5Centre Régional de Pharmacovigilance, Service de Pharmacologie, Hôpital Cochin, Assistance Publique - Hôpitaux de Paris, Centre - Université de Paris, Paris, France

Corresponding Author:

Antoine Neuraz, MD, PhD

Inserm

Centre de Recherche des Cordeliers

Sorbonne Université

Université de Paris

15 Rue de l'École de Médecine

Paris, 75006

France

Phone: 33 01 44 27 64 82

Email: antoine.neuraz@aphp.fr



In “Mining Electronic Health Records for Drugs Associated With 28-day Mortality in COVID-19: Pharmacopoeia-wide Association Study (PharmWAS)” (JMIR Med Inform 2022;10(3):e35190), the following corrections were made.

1. In the Results section of the abstract, a Q-value was incorrectly written as follows:

Among these, diazepam and tramadol were the only ones not discarded by automated diagnostics, with adjusted odds ratios of 2.51 (95% CI 1.52-4.16, Q=.1) and 1.94 (95% CI 1.32-2.85, Q=.02), respectively.

This has been corrected to:

Among these, diazepam and tramadol were the only ones not discarded by automated diagnostics, with adjusted odds ratios of 2.51 (95% CI 1.52-4.16, Q=.01) and 1.94 (95% CI 1.32-2.85, Q=.02), respectively.

2. In the first paragraph of the discussion, the following sentence was incorrectly added as follows:

Indeed, of 87 treatments prescribed in the first 48 hours, 4 (5%) were associated with increased 28-day mortality after adjustment of confounding factors and multiple testing correction, and none were associated with increased mortality.

This has been corrected to:

Indeed, of 87 treatments prescribed in the first 48 hours, 4 (5%) were associated with increased 28-day mortality after adjustment of confounding factors and multiple testing correction, and none were associated with decreased mortality.

The correction will appear in the online version of the paper on the JMIR Publications website on April 12, 2022, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

Edited by G Eysenbach; This is a non–peer-reviewed article. submitted 05.04.22; accepted 05.04.22; published 12.04.22

Copyright

©Ivan Lerner, Arnaud Serret-Larmande, Bastien Rance, Nicolas Garcelon, Anita Burgun, Laurent Chouchana, Antoine Neuraz. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 12.04.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.