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Comment
. 2023 Jan;78(1):311-314.
doi: 10.1111/all.15524. Epub 2022 Sep 29.

Implementation of the web-based calculator estimating odds ratio of severe COVID-19 for unvaccinated individuals in a country with high coronavirus-related death toll

Miroslaw Kwasniewski  1   2 , Urszula Korotko  1   2 , Karolina Chwialkowska  1   2 , Magdalena Niemira  3 , Jerzy Jaroszewicz  4 , Barbara Sobala-Szczygiel  4 , Beata Puzanowska  5 , Anna Moniuszko-Malinowska  6 , Sławomir Pancewicz  6 , Anna Parfieniuk-Kowerda  7 , Diana Martonik  7 , Dorota Zarebska-Michaluk  8 , Krzysztof Simon  9 , Monika Pazgan-Simon  9 , Iwona Mozer-Lisewska  10 , Maciej Bura  10 , Agnieszka Adamek  10 , Krzysztof Tomasiewicz  11 , Małgorzata Pawłowska  12 , Anna Piekarska  13 , Aleksandra Berkan-Kawinska  13 , Andrzej Horban  14 , Justyna Kowalska  15 , Regina Podlasin  16 , Piotr Wasilewski  16 , Arsalin Azzadin  17 , Miroslaw Czuczwar  18 , Michal Borys  18 , Pawel Piwowarczyk  18 , Slawomir Czaban  19 , Jacek Bogocz  2 , Magdalena Ochab  2 , Anna Kruk  2 , Sandra Uszok  2 , Agnieszka Bielska  3 , Anna Szałkowska  3 , Justyna Raczkowska  3 , Gabriela Sokołowska  3 , Joanna Chorostowska-Wynimko  20 , Aleksandra Jezela-Stanek  20 , Adriana Rozy  20 , Urszula Lechowicz  20 , Urszula Połowianiuk  21 , Agnieszka Tycinska  22 , Kamil Grubczak  23 , Aleksandra Starosz  23 , Wiktoria Izdebska  24 , Tadeusz F Krzemiński  25 , Jean Bousqet  26   27 , Genoveffa Franchini  28 , Jennifer Hadlock  29 , Adam Kretowski  3 , Mubeccel Akdis  30   31 , Cezmi A Akdis  30   31 , Milena Sokolowska  30   31 , Andrzej Eljaszewicz  23 , Robert Flisiak  7 , Marcin Moniuszko  23   24
Affiliations
Comment

Implementation of the web-based calculator estimating odds ratio of severe COVID-19 for unvaccinated individuals in a country with high coronavirus-related death toll

Miroslaw Kwasniewski et al. Allergy. 2023 Jan.
No abstract available

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Conflict of interest statement

All authors from Poland report a grant from Polish Medical Research Agency (ABM) during the conduct of the study (No 2020/ABM/COVID19/0001); JBog and AKru report personal fees from IMAGENE.ME SA outside the submitted work; AJ‐S reports personal fees from IMAGENE.ME SA outside the submitted work; JB reports personal fees and other support from Chiesi, Cipla, Hikma, Menarini, Mundipharma, Mylan, Novartis, Sanofi‐Aventis, Takeda, Teva, and Uriach and other support from KYomed INNOV outside the submitted work; AE and MM received grants from the National Science Centre and the National Research and Development Centre; TFK and MM are the members of the Council of the Medical Research Agency with no right to decide on grant applications and they received no remuneration for the work done in this study; MS received research grant from the Swiss National Science Foundation and from the GSK outside the submitted work; GF is the employee of the National Institutes of Health (NIH), a part of the U.S. Department of Health and Human Services; MM reports support from European Commission Horizon 2020 Programme and lecture fees from Berlin‐Chemie/Menarini, Astra Zeneca, Novartis, Chiesi, GlaxoSmithKline, Takeda, Teva, Lek‐AM outside the submitted work. Other authors declared no conflict of interest within the scope of this work.

Figures

FIGURE 1
FIGURE 1
(A–E) Comparison of AUROCs of models with one or more variables. Five logistic regressions were considered with the use of different combinations of variables: A—Age; B—Sex; C—BMI; D—Age, sex, and BMI jointly; E—Age, sex, BMI, and comorbidities jointly. For each ROC (receiver operating characteristic), its area under the curve (AUC) was computed, and the mean of 50 ROC AUC was recorded. Additionally, a mean‐ROC curve was constructed by averaging TPR's (true positive rate [TP/P]) for each FPR (false positive rate [FP/N]). (F) Odds ratio calculations of development of severe COVID‐19. Sample results were generated using an online odds ratio calculator developed based on our model (https://pacjent.gov.pl/check‐your‐risk‐severe‐covid‐19). Heatmaps presenting the values of odds ratio for developing severe course of COVID‐19 in man and woman based on age, sex, body mass index (BMI). All numbers refer to the individual with the lowest odds (the baseline value of 1)—a 20‐year‐old woman with BMI of 20 kg/m2
See this image and copyright information in PMC

Comment on

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