Evidence map›Paper›PMID 41505696›Full record

ArticleJMIR research protocols2026

Correlation Between Prakriti (Body Constitution) and Severity of Structural Alterations in the Lungs of Patients With SARS-CoV-2: Protocol for a Retrospective Cross-Sectional Study.

Rugaved Gudadhe, Gaurav Sawarkar, Amol Deshpande

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Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

Rugaved GudadheDepartment of Rachana Sharir, Mahatma Gandhi Ayurved College Hospital & Research Centre, Datta Meghe Institute of Higher Education, Salod (H), Wardha, Maharashtra, 442001, India, 91 8237434693.ORCID 0000-0001-6302-6054
Gaurav SawarkarDepartment of Rachana Sharir, Mahatma Gandhi Ayurved College Hospital & Research Centre, Datta Meghe Institute of Higher Education, Salod (H), Wardha, Maharashtra, 442001, India, 91 8237434693.ORCID 0000-0002-5605-795X
Amol DeshpandeDepartment of Rachana Sharir, Mahatma Gandhi Ayurved College Hospital & Research Centre, Datta Meghe Institute of Higher Education, Salod (H), Wardha, Maharashtra, 442001, India, 91 8237434693.ORCID 0000-0003-4212-9892

Funding

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6 · The paper itself

Abstract

Background: SARS-CoV-2, a novel coronavirus, initially appeared in Wuhan, China, at the end of 2019 and has infected more than 31 million people worldwide. Infection can range from asymptomatic to multiorgan failure requiring prompt treatment. Overall, 80% of patients with SARS-CoV-2 experienced mild to moderate illness, while 5% developed serious illness. Physicians can evaluate a patient's digestive system (Koshtha), digestive capacity (Agni), strength (Bala), and longevity (Ayu) using the body constitution (Deha Prakriti). It also helps doctors estimate a patient's illness risk, severity, disease activity scores, and hematological, pathological, and biochemical changes. The study investigated the association between body composition (Deha Prakriti) and severity, as shown by structural lung abnormalities in patients with SARS-CoV-2. Objective: This study aims to study the correlation between the severity of Prakriti and structural alterations in the lungs of patients with SARS-CoV-2. Methods: This is a retrospective cross-sectional study of patients with SARS-CoV-2. The research data will be retrospectively collected from hospital records between September 1, 2020, and May 11, 2021, a period during which India experienced the second wave of the pandemic. The data will come from the Acharya Vinoba Bhave Rural Hospital in Sawangi (Meghe), Wardha, Maharashtra, India. Patients will be contacted via telephone and encouraged to visit the outpatient department and inpatient department at these institutions or in rural and urban areas of Wardha city. A structured case pro forma and a Prakriti assessment questionnaire will be used to evaluate lung structural changes during the COVID-19-positive period. Results: The study is not funded by any organization. The study was initiated on March 4, 2023, and as of July 1, 2024, a total of 265 patients have been recruited. Results will be recorded from the observations of subjective and objective parameters. The study's primary outcome is to establish a relationship between abnormalities in the structure of the lungs in patients with COVID-19 and body constitution (Prakriti). The study's secondary outcome will help identify which body constitution is most susceptible to structural changes and disease severity in patients with COVID-19 and will also offer insights into preventive medicine. Conclusions: Statistical investigation will lead to the conclusion that there is a specific association between structural abnormalities in the lungs of patients with COVID-19 and their body constitution. We hypothesize that Prakriti will be identified as being more prone to structural changes and severity in patients with COVID-19, offering insights into preventive therapy.

Indexed as

Body CompositionCOVID-19LungAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2Severity of Illness IndexagniCOVID-19koshthaprakritiSARS-CoV-2structural alterations

Identifiers

PMID41505696
PMCPMC12782462

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