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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)...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2023
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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. |
format | Online Article Text |
id | pubmed-10114581 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
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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