rakesh kakkar
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In COVID pandemic, attending the continuing medical education, workshops, and conferences with physical attendance is not possible. We designed, developed, and hosted the first of its kind academic virtual/online conference at par with an in‑person academic conference to disseminate the expertise of the renowned subject experts along with researchers to present their research work due to the ongoing pandemic. We, in this article, had summarized the most critical steps in order to make the process easier for first‑timers while providing our more comprehensive walkthroughs on each step. We choose a live session of the speakers on the Zoom meeting mode to retain the atmosphere of a live conference. WhatsApp, Google (Google Meet and E‑mail), and Kahoot were other platforms to communicate with speakers, researchers, and participants to seamlessly participate. A number of advantages in terms of protection for delegates/speakers and their families came from the Virtual Conference on Nutrition and Health, restricting the spread of COVID‑19, low budget for organizers, economically much cheaper alternatives both for speakers and participants, dissemination of knowledge, time productive, and meeting research paper presentation eligibility for a professional course. When one is new to technology, try adding an innovative aspect as a starting point to future virtual and in‑person events, and seeing how it works is imperative. Ensuring Internet bandwidth, updated hardware, or webcam and/or microphone functionality at the participant end is critical.
Keywords: Conference, COVID‑19, online, virtual, web based -
Background
Globally Noncommunicable Diseases is lead causes of mortality. This calls for the need of sensitive and cost appropriate screening tools to identify asymptomatic healthy individuals with higher risk and/or subclinical NCD in the community. The study aims to generate pilot evidence based, validated, good quality, cost appropriate, and sustainable risk assessment score for NCD for developing countries like India.
MethodsThis descriptive retrospective study of diabetic camp data of 84 patients was conducted. A risk score having 10 questions and three measurements for NCDs appropriate for Indian communities was generated. It was compared to IDRS, FINDRISC, FRS, CBAC, and WHO/ISH prediction charts.
ResultsThe study finally included 36 patients with NCD as case and 44 subjects without NCD as control. The means of weight, waist circumference, blood pressure, and blood sugar were significantly different among the two groups. AMNRAS of more than 14 was highly predictive for an individual to be at risk of NCD or sub clinical case of NCD requiring evaluation. The proposed cut‑off of 8 for AMNRAS, the sensitivity and NPV was highest compared to other score, 88.9% and 84.6%, respectively. Score for the Area under curve was significantly higher for AMNRAS [0.83 (0.74 to 0.92)] compared to other scores.
ConclusionsAMNRAS has higher performance parameters than the other five tested in the present study. Other scoring system performs only modestly in discrimination of NCD cases. The accuracy of AMNRAS for NCD risk will have to be determined in large size cohorts.
Keywords: Cardiovascular diseases, checklist, diabetes mellitus, dietary, noncommunicable disease, obesity, risk factors, tobacco, waist circumference
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