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Riddhi DasGupta

Explore the profile of Riddhi DasGupta including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 34
Citations 131
Followers 0
Related Specialties
Endocrinology
General Medicine
Science
Top 10 Co-Authors
Nihal Thomas
Shajith Anoop
Felix K Jebasingh
Mathews Edatharayil Kurian
Moushumi Lodh
Arunangshu Ganguly
Mercy Inbakumari
Grace Rebekah
Felix Jebasingh
Sunetra Mondal
Published In
BMJ Case Rep
Diabetes Metab Syndr
Sci Rep
J Diabetes
Diabetes Res Clin Pract
Affiliations
Soon will be listed here.
Recent Articles
1.
Prevalence and predictors of infected diabetic foot ulcers (DFU) and DFU-related osteomyelitis amongst industrial workers wearing occupational safety footwear
Mondal S, Lodh M, Sahoo S, Paul K, Biswas D, Krishna C, et al.
Sci Rep . 2025 Jan; 15(1):2576. PMID: 39833236
Professionals like deep-miners and factory-workers wear specialized safety-shoes to protect against occupational hazards (OF). The risk factors, clinico-microbiologic profile and complications of diabetic foot ulcers (DFU) in these professionals remain...
2.
Cardiac Autonomic Neuropathy in Diabetic Peripheral Neuropathy
Naik B, Pandey A, DasGupta R, Shivaprasad C
Cureus . 2024 Sep; 16(8):e67777. PMID: 39323701
Background Cardiac autonomic neuropathy (CAN) is the most underdiagnosed consequence of diabetes because standard hospital settings do not provide consistent diagnostic criteria or testing resources. It is still unclear how...
3.
A novel simple disposition index (SPINA-DI) from fasting insulin and glucose concentration as a robust measure of carbohydrate homeostasis
Dietrich J, Abood A, DasGupta R, Anoop S, Jebasingh F, Spurgeon R, et al.
J Diabetes . 2024 Jan; 16(9):e13525. PMID: 38169110
Aims: The widely used dynamic disposition index, derived from oral glucose tolerance testing, is an integrative measure of the homeostatic performance of the insulin-glucose feedback control. Its collection is, however,...
4.
Understanding the predictive accuracy of the InsuTAG index over other surrogate indices in normoglycaemic, non-obese males from Southern India
Jebasingh F, Anoop S, DasGupta R, Kurian M, Joseph A, Rebekah G, et al.
Sci Rep . 2023 Nov; 13(1):19497. PMID: 37945732
We aimed to evaluate the predictive accuracy of InsuTAG index against M value of the hyperinsulinaemic-Euglycaemic clamp (HEC) procedure and fasting surrogate indices of insulin sensitivity/resistance in young, normoglycaemic, Asian...
5.
Subacute thyroiditis following recovery from COVID-19 infection: novel clinical findings from an Eastern Indian cohort
Mondal S, DasGupta R, Lodh M, Ganguly A
Postgrad Med J . 2023 Jun; 99(1172):558-565. PMID: 37319147
Objective: Recent reports have suggested a link between COVID-19 infection and subacute thyroiditis (SAT). We aimed to describe variations in clinical and biochemical parameters in patients developing post-COVID SAT. Design:...
6.
SPINA Carb: a simple mathematical model supporting fast in-vivo estimation of insulin sensitivity and beta cell function
Dietrich J, DasGupta R, Anoop S, Jebasingh F, Kurian M, Inbakumari M, et al.
Sci Rep . 2022 Oct; 12(1):17659. PMID: 36271244
Modelling insulin-glucose homeostasis may provide novel functional insights. In particular, simple models are clinically useful if they yield diagnostic methods. Examples include the homeostasis model assessment (HOMA) and the quantitative...
7.
Comprehensive evaluation of patterns of hypoglycemia unawareness (HUA) and glycemic variability (GV) in patients with fibrocalculous pancreatic diabetes (FCPD): A cross-sectional study from South India
DasGupta R, Jebasingh F, Anoop S, Seenivasan S, Kurian M, Christina F, et al.
PLoS One . 2022 Jul; 17(7):e0270788. PMID: 35819935
Objectives: Hypoglycemia unawareness (HUA) in patients with FCPD is common with an unclear etiology. We evaluated the prevalence, characteristics of HUA, glycemic variability (GV), its possible association with pancreatic glucagon...
8.
Stress hyperglycemia ratio, rather than admission blood glucose, predicts in-hospital mortality and adverse outcomes in moderate-to severe COVID-19 patients, irrespective of pre-existing glycemic status
Mondal S, DasGupta R, Lodh M, Garai R, Choudhury B, Hazra A, et al.
Diabetes Res Clin Pract . 2022 Jul; 190:109974. PMID: 35809688
Aim: To compare admission-blood-glucose (ABG) or stress-hyperglycemia-ratio (SHR) performs better in predicting mortality and worse outcomes in COVID-19 patients with (DM) and without known Type 2 Diabetes Mellitus (UDM). Methods:...
9.
An Atypical Form of Diabetes Among Individuals With Low BMI
Lontchi-Yimagou E, DasGupta R, Anoop S, Kehlenbrink S, Koppaka S, Goyal A, et al.
Diabetes Care . 2022 May; 45(6):1428-1437. PMID: 35522035
Objective: Diabetes among individuals with low BMI (<19 kg/m2) has been recognized for >60 years as a prevalent entity in low- and middle-income countries (LMICs) and was formally classified as...
10.
Differentials in dietary intake of macro and micronutrients in patients with type 2 diabetes and foot ulcers: Observations from a pilot study
Reddy S, Anoop S, Jebasingh F, DasGupta R, Joseph M, Saravanan B, et al.
Clin Nutr ESPEN . 2022 Jan; 47:170-176. PMID: 35063197
Background And Aim: The dietary profiles of patients with type 2 diabetes mellitus (T2DM) from Southern India have been infrequently studied. We aimed to study the differences in dietary intake...