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Diabetic post-covid mucormycosis: A dermatoglyphic prediction

AIM: To identify the characteristic pattern/parameter among diabetic post-covid mucormycosis patients which may further help in identifying such susceptible patients in a much earlier course of the disease. MATERIALS AND METHODS: The study was done with 30 diabetic patients (21 males and 9 females)...

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Autores principales: Sanga, Aradhana, Kumari, Rita, Kujur, Babita, Ranjan, Rajiv, Dubey, Ashok Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114581/
https://www.ncbi.nlm.nih.gov/pubmed/37091019
http://dx.doi.org/10.4103/jfmpc.jfmpc_1530_22
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author Sanga, Aradhana
Kumari, Rita
Kujur, Babita
Ranjan, Rajiv
Dubey, Ashok Kumar
author_facet Sanga, Aradhana
Kumari, Rita
Kujur, Babita
Ranjan, Rajiv
Dubey, Ashok Kumar
author_sort Sanga, Aradhana
collection PubMed
description AIM: To identify the characteristic pattern/parameter among diabetic post-covid mucormycosis patients which may further help in identifying such susceptible patients in a much earlier course of the disease. MATERIALS AND METHODS: The study was done with 30 diabetic patients (21 males and 9 females) admitted in RIMS Ranchi during the second wave of Covid-19 for post-covid complications. Palm and fingerprint pattern was taken by ink and pad method to measure the qualitative and quantitative parameters. RESULT: Diabetic post-covid mucormycosis patients were found to have predominantly whorl pattern in males, loop in females, and C-line pattern absent in 36.6%. Proximal axial triradii with ulnar deviation was 76.6%. All the ridge counts (except ab ridge count of right hand) when compared with hypothesized value were found to be significant with P value (<0.005). None of the three angles measured were found to be significant. CONCLUSION: All the ridge counts (except ab ridge count of right hand) were found to be a reliable parameter for the diagnosis of diabetic post-covid mucormycosis. ATD angle known to be the most reliable parameter for diagnosis of diabetes mellitus in dermatoglyphics is found to be nonreliable with respect to diabetes post-covid mucormycosis.
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spelling pubmed-101145812023-04-20 Diabetic post-covid mucormycosis: A dermatoglyphic prediction Sanga, Aradhana Kumari, Rita Kujur, Babita Ranjan, Rajiv Dubey, Ashok Kumar J Family Med Prim Care Original Article AIM: To identify the characteristic pattern/parameter among diabetic post-covid mucormycosis patients which may further help in identifying such susceptible patients in a much earlier course of the disease. MATERIALS AND METHODS: The study was done with 30 diabetic patients (21 males and 9 females) admitted in RIMS Ranchi during the second wave of Covid-19 for post-covid complications. Palm and fingerprint pattern was taken by ink and pad method to measure the qualitative and quantitative parameters. RESULT: Diabetic post-covid mucormycosis patients were found to have predominantly whorl pattern in males, loop in females, and C-line pattern absent in 36.6%. Proximal axial triradii with ulnar deviation was 76.6%. All the ridge counts (except ab ridge count of right hand) when compared with hypothesized value were found to be significant with P value (<0.005). None of the three angles measured were found to be significant. CONCLUSION: All the ridge counts (except ab ridge count of right hand) were found to be a reliable parameter for the diagnosis of diabetic post-covid mucormycosis. ATD angle known to be the most reliable parameter for diagnosis of diabetes mellitus in dermatoglyphics is found to be nonreliable with respect to diabetes post-covid mucormycosis. Wolters Kluwer - Medknow 2023-02 2023-02-28 /pmc/articles/PMC10114581/ /pubmed/37091019 http://dx.doi.org/10.4103/jfmpc.jfmpc_1530_22 Text en Copyright: © 2023 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Sanga, Aradhana
Kumari, Rita
Kujur, Babita
Ranjan, Rajiv
Dubey, Ashok Kumar
Diabetic post-covid mucormycosis: A dermatoglyphic prediction
title Diabetic post-covid mucormycosis: A dermatoglyphic prediction
title_full Diabetic post-covid mucormycosis: A dermatoglyphic prediction
title_fullStr Diabetic post-covid mucormycosis: A dermatoglyphic prediction
title_full_unstemmed Diabetic post-covid mucormycosis: A dermatoglyphic prediction
title_short Diabetic post-covid mucormycosis: A dermatoglyphic prediction
title_sort diabetic post-covid mucormycosis: a dermatoglyphic prediction
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114581/
https://www.ncbi.nlm.nih.gov/pubmed/37091019
http://dx.doi.org/10.4103/jfmpc.jfmpc_1530_22
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