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Indian Journal of Transplantation ; 16(4):361-365, 2022.
Article in English | Web of Science | ID: covidwho-2225961


Background: Kidney transplant recipients (KTRs) are deemed to be at a high risk of severe coronavirus disease (COVID-19). Herein, we describe the clinical, laboratory profiles, management, and outcomes of 26 KTRs who developed COVID-19 during the first and second waves of the pandemic from a tertiary care center in northern India. Methods: This retrospective observational study included KTRs detected with COVID-19 infection during the first wave (March-November 2020) and the second wave (March-July 2021). Their clinical and laboratory investigations, management aspects, and outcomes were compared, using data retrieved from clinical and telenephrology records, and the hospital information system. Results: Of the 23 KTRs, 20 were male (86%), 20 patients had fever (86%), and cough and breathlessness were seen in 19 (82%) and 12 (52%), respectively. Acute graft dysfunction was seen in 6 (26%) patients, and the need for renal replacement was seen in 4 (17%) patients. Supplemental oxygen by reservoir mask was utilized in 10 (43%) patients, high-flow nasal cannula in 3 (13%), noninvasive mechanical ventilation in 4 (17%), and invasive mechanical ventilation in 6 (26%) patients. All the KTRs with moderate and severe COVID illness and 6/7 nonsurvivors were infected during the second wave. Overall mortality in this group of patients was very high at 27%, and the mortality in the group on mechanical ventilation was 100%. Conclusions: The second wave of the COVID-19 pandemic was associated with greater severity of illness and high mortality in KTRs.

12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1752384


Pandemics have a devastating effect on lives across the globe as evinced by the ongoing COVID-19. Production of vaccine, medicines and other critical supplies such as oxygen are indispensable and are to be expedited. This work examines the problem of maximizing the manufacturing of critical supplies within a target stipulated time by various manufacturing units. Two scenarios are considered in vaccine production: centralized and distributed. In the former case, the manufacturing units are closely located and transport the raw materials with no delay. In the latter case, the units are located geographically apart and transport of raw materials takes a finite time causing delays in vaccine production. The main contribution of the paper lies in the elucidation of optimal algorithms for both scenarios that take the dependencies between the ingredients into consideration. The dependencies have a constraining effect on the order of manufacturing of both the raw materials and the end products referred to as targets and hence careful consideration is necessary to maximize production. The optimality is measured by an incentive-based scheme that seeks to reward the faster development of targets. © 2021 IEEE.

National Journal of Community Medicine ; 12(12):411-415, 2021.
Article in English | Scopus | ID: covidwho-1614186


Background: In order to control the risk of COVID-19 many employees have been asked to work from home & generally away from their workplace. Working from home may cause negative impact on employees’ mental health as it increases social isolation which is associated with high risk of psychological distress and depression. Aim: The study was done with the aim to assess the effect of COVID-19 pandemic on psychosocial health and well-being of Information Technology (IT) employees who is working from home. Methodology: This study is a cross-sectional descriptive study, conducted at Chennai district of Tamilnadu. Around 210 samples were collected based on convenient sampling method. A semi structured questionnaire was used to collect data and the data analyzed using SPSS 22 software. Results: Out of the participants, 74% of the employees felt that their work time has been increased due to work from home. On multiple regression analysis, variables like gender, marital status, average working hours per day were found to have statistically significant. Conclusion: Chennai is a metro city with high population of IT professionals. Individual workload has increased within a short deadline, which has led to increased stress, sleep deprivation that resulted in many psychosocial problems. © 2021, MedSci Publications. All rights reserved.