ABSTRACT
Mycobacterium indicus pranii (MIP) earlier known as Mw is a soil-borne, non-pathogenic, saprophytic and rapidly growing strain of mycobacteria. MIP is approved as a vaccine/ immunomodulator for various indications including mycobacterium infections like leprosy in humans. Its administration has resulted in satisfactory clinical improvement, accelerated bacillary clearance, and increased immune responses to Mycobacterium leprae antigens, thereby shortening the full recovery time of the patients. It also shares its antigens with M.tuberculosis. In the last decade, RCTs have been done establishing immunotherapeutic properties of MIP in the treatment of leprosy, tuberculosis, warts and experimently in leishmaniasis. Through its immune inducing and cytotoxic property, it has also proved beneficial for human use especially in treating lung cancer. The beneficial role of it is also being explored in breast, cervical, oral, liver, and bladder cancers. Various studies on MIP have shown that it has immune-modulating properties in humans. The curiosity of the human mind has led to it being tried in Covid treatment trials. The results have shown that administering MIP has lowered inflammatory markers in Covid 19 patients, promising us for it to be a potential treatment option. More RCTs with a larger sample size should be done to establish this. Cytokine storm seen in bacterial sepsis is also decreased with MIP administration. Considering the encouraging results in hastening recovery in various diseases it appears that MIP is perhaps not being exploited to its fullest potential. © 2023, Hind Kusht Nivaran Sangh (Indian Leprosy Association). All rights reserved.
ABSTRACT
Internet of Medical Things (IoMT) is an emerging technology whose capabilities to self-organize itself on-the-fly, to monitor the patient's vital health data without any manual entry and assist early human intervention gave birth to smart healthcare applications. The smart applications can be used to remotely monitor isolated patients during this COVID-19 pandemic. Remote patient monitoring provides an opportunity for COVID-19 patients to have vital signs and other indicators recorded regularly and inexpensively to provide rapid and early warning of conditions that require medical attention using secured edge and cloud computing. However, to gain the confidence of the users over these applications, the performance of healthcare applications should be evaluated in real-time. Our real-time implementation of IoMT based remote monitoring application using edge and cloud computing, along with empirical evaluation, show that COVID-19 patients can be monitored effectively not only with mobility but also helps the health care professionals to generate consolidated health data of the patient that can guide them to obtain medical attention. © 2021 IEEE.
ABSTRACT
Background. Persistent symptoms after acute COVID-19 are being increasingly reported. To date, little is known about the cause, clinical associations, and trajectory of "Long COVID". Methods. Participants of an outpatient clinical trial of Peginterferon-Lambda as treatment for uncomplicated SARS-CoV-2 infection were invited to long term follow-up visits 4, 7, and 10 months after initial COVID-19 diagnosis. Ongoing symptoms and functional impairment measures (work productivity and activity index (WPAI), NIH toolbox smell test, 6-minute walk test) were assessed and blood samples obtained. "Long COVID" was defined as presence of 2 or more typical symptoms (fatigue, hyposmia/hypogeusia, dyspnea, cough, palpitations, memory problems, joint pain) at follow up. Associations between baseline characteristics, initial COVID-19 clinical course, and presence of "Long COVID" during follow-up were assessed using generalized estimating equations accounting for repeated measurements within individuals. Results. Eighty-seven participants returned for at least one follow-up visit. At four months, 29 (34.1%) had "Long COVID";19 (24.7%) met criteria at 7 months and 18 (23.4%) at 10 months (Figure 1). Presence of "Long COVID" symptoms did not correlate significantly with functional impairment measures. Female gender (OR 3.01, 95% CI 1.37-6.61) and having gastrointestinal symptoms during acute COVID-19 illness (OR 5.37, 95% CI 1.02-28.18) were associated with "Long COVID" during follow-up (Figure 2). No significant associations with baseline immunologic signatures were observed. Conclusion. "Long COVID" was prevalent in this outpatient trial cohort and had low rates of resolution over 10 months of follow up. Female sex and gastrointestinal symptoms during acute illness were associated with "Long COVID". Identifying modifiable risk factors associated with the development of persistent symptoms following SARS-CoV-2 infection remains a critical need.