Browsing by Author "Ramanand Yadav"

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Clinical Profile and Severity Correlation of Acute Leptospirosis in Northern India, 2019-2023: A Tertiary Care Center-based study
(Bentham Science Publishers, 2025) Anju Dinkar; Jitendra P. Singh; Nilesh Kumar; Kailash Kumar; Ramanand Yadav
Background: Leptospirosis is a globally important zoonotic disease with substantial morbidity and mortality, yet it remains underreported in Northern India. This study aimed to evaluate the seroprevalence, clinical characteristics, and severity determinants of acute leptospirosis in a tertiary care setting. Methods: We conducted a retrospective cross-sectional analysis of 174 hospitalized leptospirosis patients from 20,162 admissions between 2019 and 2023. The diagnosis was established using Leptospira IgM ELISA testing. Clinical, haematological, and imaging parameters were systematically evaluated. Results: The incidence of leptospirosis was 0.9%, peaking at 38.5% post-monsoon. Rural residents (64.9%), males (59.2%), and individuals involved in agricultural work (62.6%) were predominantly affected. Common presentations were fever (100%), headache (70.7%), myalgia (62%), and calf pain (50%), followed by jaundice (39.7%), and reduced urine output (33.3%).. The mortality rate was 20.1%. Severity correlated significantly with nausea/vomiting, abdominal pain, cough, and complications, including diffuse alveolar haemorrhage (DAH), disseminated intravascular coagulation (DIC), multiorgan dysfunction syndrome (MODS), hepatic dysfunction, acute renal injury, and leukocytosis. Discussion: The findings emphasize the critical need for early risk stratification and timely intervention to improve clinical outcomes. Identifying clinical and laboratory predictors of severity can significantly guide early management strategies in endemic areas. Conclusion: Several clinical and laboratory parameters are significant predictors of leptospirosis severity. Early recognition and risk stratification based on these indicators are crucial to improving patient outcomes. Enhanced surveillance, preventive measures, and clinician awareness are urgently needed to address this neglected tropical disease. 2025, Bentham Science Publishers
Reconstruction of Holocene relative sea-level from beach ridges of the central west coast of India using GPR and OSL dating
(Elsevier B.V., 2023) Pankaj Prasad; Victor Joseph Loveson; Vinayak Kumar; Anil Dutt Shukla; Priyankar Chandra; Swati Verma; Ramanand Yadav; Rajni Magotra; Gurudas M. Tirodkar
The Holocene sea-level and associated shoreline regression of beach ridges in the central west coast of India have been reconstructed based on internal sedimentary architecture and luminescence chronology. For this purpose, various techniques namely ground penetrating radar (GPR), optically-stimulated luminescence (OSL) dating, and interferometry synthetic aperture radar (InSAR) have been used. The berm and beach-dune boundary of paleo beach ridges have been mapped from the high-resolution sub-surface images and converted into sea-level indicators using modern analogs and OSL ages. GPR reflection data shows a number of seaward dipping radar facies with a few landward dipping facies in paleo beach ridges. In the case of the swale, radar signal has been highly attenuated due to the presence of water and mud causing the appearance of multiple horizontal and parallel positive and negative couplets in the sedimentary layer. The results of the research reveal that the oldest beach ridge was formed around 7.7 kyr BP and sea-level was +2 m above mean sea-level. The average progradation rate of these ridges is 0.14 m/yr. From the grain size analysis, it has been found that the larger share of grain size falls into the classes of fine and moderate sand. The present displacement map of the region, which has been generated from the Sentinel-1 datasets, demonstrates that the average upliftment is 2.5 mm/yr whereas subsidence is 1 mm/yr. The fall of the Holocene relative sea-level with respect to the study region is the consequence of both global and regional events. © 2023 Elsevier B.V.