Publications by authors named "Ambily Nadaraj"

Background And Aims: Dynamic indices such as pulse pressure variation (PPV) and stroke volume variation (SVV) are better predictors of fluid responsiveness than static indices. There is a strong correlation between PPV and SVV in the prone position when assessed with the fluid challenge. However, this correlation has not been established during intraoperative hypotension.

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Context: Cancer Radiomics is an emerging field in medical imaging and refers to the process of converting routine radiological images that are typically qualitatively interpreted to quantifiable descriptions of the tumor phenotypes and when combined with statistical analytics can improve the accuracy of clinical outcome prediction models. However, to understand the radiomic features and their correlation to molecular changes in the tumor, first, there is a need for the development of robust image analysis methods, software tools and statistical prediction models which is often limited in low- and middle-income countries (LMIC).

Aims: The aim is to build a framework for machine learning of radiomic features of planning computed tomography (CT) and positron emission tomography (PET) using open source radiomics and data analytics platforms to make it widely accessible to clinical groups.

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Purpose: To evaluate the impact of COVID-19 pandemic on the income and surgical training opportunities among the ophthalmologists in India and their opinion on salary reduction during this period.

Methods: A questionnaire in the form of a Google survey was sent to ophthalmologists across India on May 1, 2021. The data collected until May 11, 2021 was analyzed.

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Background And Aim: Though rodenticidal hepatotoxicity is reported from India, there is no systematic study to assess its magnitude. This study aimed to assess exposure to rodenticide as a risk factor for acute hepatotoxicity in Tamil Nadu, India.

Methods: We retrospectively analyzed acute hepatotoxicity caused by ingestion of hepatotoxin or potentially hepatotoxic drug overdose across 15 hospitals in 6 districts of Tamil Nadu from 1 January 2019 to 30 June 2019.

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Background: Characterization of reticulo-endothelial activation in COVID-19 may guide treatment.

Objectives: To assess reticulo-endothelial activation and its correlation with disease severity and death in patients across the entire spectrum of COVID-19 severity.

Methods: Consecutive hospitalized COVID-19 patients were studied, with similar number of patients in each disease severity category.

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Background: Prophylactic trimethoprim-sulfamethoxazole (TMP-SMX) prevents pneumocystis jirovecii infection in SLE on immunosuppression. Its role in preventing other major infections in immuno suppressed SLE patients is unknown.

Methods: A non-concurrent cohort study was conducted on patients of SLE fulfilling SLICC and/or ACR 1997 criteria, who received tapering dose of steroid starting with ≥0.

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Purpose: The aim of this study was to assess the impact of an audio visual (AV) teaching module on basic torchlight examination of the eye and direct ophthalmoscopy for undergraduate medical students.

Methods: This observational longitudinal study was done on 33 consecutive medical interns during their Ophthalmology posting from December 2019 to March 2020 at a medical college in South-India. An AV-module was created using animation graphics, narratives, demonstrations on normal individuals and on patients with positive signs.

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Article Synopsis
  • The paper examines COVID-19 epidemic forecasting in China, focusing on estimating the effective reproduction number (R) over time using reported case numbers in India.
  • Employing the Exponential Growth method and Time-dependent approach, researchers calculated R values for various regions, with India's overall R estimated at 1.379.
  • Results indicated an initial high R of 3.2 in early March 2020, stabilizing around 1.3 by early April, signaling a potential reversal of the epidemic, although ongoing analyses are recommended.
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Background: Ever since the Coronavirus disease (COVID-19) outbreak emerged in China, there has been several attempts to predict the epidemic across the world with varying degrees of accuracy and reliability. This paper aims to carry out a short-term projection of new cases; forecast the maximum number of active cases for India and selected high-incidence states; and evaluate the impact of three weeks lock down period using different models.

Methods: We used Logistic growth curve model for short term prediction; SIR models to forecast the maximum number of active cases and peak time; and Time Interrupted Regression model to evaluate the impact of lockdown and other interventions.

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Aim: Heart failure is a global problem that is increasing in prevalence. We undertook the initiative to compile the Vellore Heart Failure Registry (VHFR) to assess the clinical profile, mortality, risk factors and economic burden of heart failure by conducting a prospective, observational, hospital-based cohort study in Vellore, Tamil Nadu.

Methods And Results: This study was a prospective observational cohort study conducted at the Christian Medical College and Hospital, Vellore, between January 2014 and December 2016.

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Adequate and quality immunization coverage plays a key role in controlling the outbreaks of vaccine preventable diseases. Places where immunization coverage is low, vaccine preventable diseases contribute to worse health outcomes. This is especially true in Indian slum dwellings where 33.

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