scholarly journals Clinical spectrum and short-term outcomes of multisystem inflammatory syndrome in children in a south Indian hospital

Author(s):  
Muruganantham Balagurunathan ◽  
Thrilok Natarajan ◽  
Jothilakshmi Karthikeyan ◽  
Venkateshwaran Palanisamy
Author(s):  
Katharine N Clouser ◽  
Jasmine Gadhavi ◽  
Sejal M Bhavsar ◽  
Rachel Lewis ◽  
Cathleen Ballance ◽  
...  

Abstract This is a retrospective chart review of 20 patients treated with a consensus-driven treatment algorithm in multisystem inflammatory syndrome in children patients across a wide clinical spectrum. Their treatments and clinical status are described as well as their favorable return to functional baseline by 30 days post presentation.


2018 ◽  
Vol 44 (9) ◽  
pp. 1502-1511 ◽  
Author(s):  
Damien Contou ◽  
◽  
Romain Sonneville ◽  
Florence Canoui-Poitrine ◽  
Gwenhaël Colin ◽  
...  

Author(s):  
Pramod Kumar A ◽  
Parthasarathi G ◽  
Mothi Sn ◽  
Sudheer Ap ◽  
Vht Swamy ◽  
...  

 Objective: Immune reconstitution inflammatory syndrome (IRIS) is an inflammatory reaction in HIV-infected patients after initiation of antiretroviral therapy (ART) resulting from restored immunity to specific infectious or non-infectious antigens. The most common condition where IRIS has been reported is tuberculosis (TB). Various mechanisms have been proposed and studied to account for the immune regulatory role of hydroxychloroquine (HCQ). This study is done to identify clinical outcome in HIV-TB patients with IRIS after given with HCQ.Methods: An uncontrolled longitudinal study was conducted among HIV-infected patients with TB initiated on ART and developed IRIS between July 2013 and June 2015 in a South Indian HIV care hospital.Results: A total of 40 patients have developed IRIS with mean age of 35.87 years and 77.5 % of them were males. At the time of IRIS occurrence, the mean body mass index was found to be 19.17 kg/m2 and CD4 count was 200 cells/mm3. The time duration took to get improvement in majority of the patients was 4–12 weeks.Conclusion: There was definite improvement seen in patients who received HCQ in TB-IRIS condition.


Clinics ◽  
2020 ◽  
Vol 75 ◽  
Author(s):  
Maria Fernanda Badue Pereira ◽  
Nadia Litvinov ◽  
Sylvia Costa Lima Farhat ◽  
Adriana Pasmanik Eisencraft ◽  
Maria Augusta Bento Cicaroni Gibelli ◽  
...  

2012 ◽  
Vol 17 (5) ◽  
pp. 841-848 ◽  
Author(s):  
William Worodria ◽  
◽  
Joris Menten ◽  
Marguerite Massinga-Loembe ◽  
Doreen Mazakpwe ◽  
...  

2018 ◽  
Vol 7 (2.27) ◽  
pp. 88 ◽  
Author(s):  
Merin Thomas ◽  
Latha C.A

Sentiment analysis has been an important topic of discussion from two decades since Lee published his first paper on the sentimental analysis in 2002. Apart from the sentimental analysis in English, it has spread its wing to other natural languages whose significance is very important in a multi linguistic country like India. The traditional approaches in machine learning have paved better accuracy for the Analysis. Deep Learning approaches have gained its momentum in recent years in sentimental analysis. Deep learning mimics the human learning so expectations are to meet higher levels of accuracy. In this paper we have implemented sentimental analysis of tweets in South Indian language Malayalam. The model used is Recurrent Neural Networks Long Short-Term Memory, a deep learning technique to predict the sentiments analysis. Achieved accuracy was found increasing with quality and depth of the datasets. 


PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e40623 ◽  
Author(s):  
Lewis John Haddow ◽  
Mahomed-Yunus Suleman Moosa ◽  
Anisa Mosam ◽  
Pravi Moodley ◽  
Raveen Parboosing ◽  
...  

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