Abstract:
Context: Fatigue is the most prominent feature of long COVID. With the increasing burden of long COVID cases post-acute phase of illness after recurrent waves of the pandemic, understanding its pathophysiology is of paramount importance.
Such fatigue and post-viral illness could be associated with features of neuroimmune exhaustion and thus be a part of a larger syndrome such as myalgic encephalomyelitis (ME).
Identifying the proportion of patients having ME from those experiencing fatigue would bring us one step closer to understanding the pathophysiology. International consensus criteria (ICC) originally published in English (ICC-E) is a valid and reliable tool for identifying cases of ME. However, a validated Hindi version of ICC-E is not available.
Aims: To develop and validate an equivalent version of ICC-E in the native Hindi language (ICC-H) to suit Indian patients and health care workers even at peripheries and to make conducting large scales surveys more feasible.
Subjects and methods: Once permission from the ethics board was granted, guidelines given by MAPI Research Trust were followed and ICC-H was developed from ICC-E, in the following steps: (a) translation to Hindi, (b) back translation, (c) comparison between the translated and back-translated version performed by experts, and (d) pre-pilot test in the intended population. The ICC-H was applied to 53 bilingual individuals knowing both Hindi and English.
Statistical analysis used: The distribution of Hindi and English questionnaires was analyzed using the Chi-square test and Spearman’s correlation coefficient was used for correlation between answers of each question.
Results: The score of individual items and its global score was highly correlated with each other (p<0.001). The scores of individual components and global scores of ICC-H at baseline and original ICC-E after 4 weeks did not differ significantly.
Conclusion: This study shows that the ICC-H is a valid and reliable instrument for the assessment of ME. ICC-H can be used for Hindi speaking population for identifying cases of ME.
Source: Shah M, Kakar A, Gogia A. The Hindi Version of International Consensus Criteria: A Cross-cultural Adaptation and Validation Study for Myalgic Encephalomyelitis in Post-COVID Patients. J Assoc Physicians India 2022;70(10):59–63. https://www.japi.org/x2d4b494/the-hindi-version-of-international-consensus-criteria-a-cross-cultural-adaptation-and-validation-study-for-myalgic-encephalomyelitis-in-post-covid-patients https://www.researchgate.net/profile/Atul-Gogia/publication/364241915_Postgraduate_Student_2_Vice_Chairman_and_Senior_Consultant_The_Hindi_Version_of_International_Consensus_Criteria_A_Cross-cultural_Adaptation_and_Validation_Study_for_Myalgic_Encephalomyelitis_in_Post-/links/63405e8aff870c55ce0adebf/Postgraduate-Student-2-Vice-Chairman-and-Senior-Consultant-The-Hindi-Version-of-International-Consensus-Criteria-A-Cross-cultural-Adaptation-and-Validation-Study-for-Myalgic-Encephalomyelitis-in-Post.pdf (Full text available as PDF file)