scholarly journals Effectiveness of vaccination in preventing severe SARS CoV-2 infection in South India-a hospital-based cross-sectional study

Author(s):  
A Charles Pon Ruban ◽  
Aazmi M ◽  
Shantaraman K.

AbstractBackground & objectivesEstablishing concrete evidence on effect of vaccination on severity of SARS CoV-2 infections in real world situations is the need of the hour. The aim of this study is to estimate the effectiveness Covid 19 vaccines in preventing the new and severe SARS CoV-2 infections.MethodsWe did this retrospective cross-sectional study among the 4765 patients consecutive adult inpatients admitted in the Covid 19 wards of a tertiary care hospital from May 1,2021 to July 7, 2021 during the second wave of Covid 19 pandemic. Information on basic demographic variables, RT PCR status, vaccination status, outcome and clinical severity of illness were obtained from the electronic hospital patient records.Results, and Interpretation & conclusionsType of vaccine and number of doses of vaccines didn’t have any protective effect against new SARS CoV-2 infection. Covid 19 patients vaccinated with at least one dose had 75 % less risk of requiring oxygen (OR 0.25 CI: 0.15 to 0.44) and 60 % less risk of ICU admission (OR 0.4 CI: 0.2 to 0.6) and it was statistically significant. Only 31 % of fully vaccinated Covid 19 positive patients had oxygen requirement (90% less risk) and 15% of the fully vaccinated patients had needed ICU admission (90% less risk).ConclusionVaccination didn’t protect against SARS Cov-2 infection however significant protection was documented against severe SARS Cov-2 infection. Vaccination coverage should be increased urgently in order to halt the impending wave of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

Vacunas ◽  
2020 ◽  
Vol 21 (2) ◽  
pp. 95-104 ◽  
Author(s):  
Y.M. AlGoraini ◽  
N.N. AlDujayn ◽  
M.A. AlRasheed ◽  
Y.E. Bashawri ◽  
S.S. Alsubaie ◽  
...  

Author(s):  
Nandini Chatterjee ◽  
Supratick Chakraborty ◽  
Mainak Mukhopadhyay ◽  
Sinjon Ghosh ◽  
Bikramjit Barkandaj ◽  
...  

2020 ◽  
Vol 32 (1) ◽  
Author(s):  
Nearmeen M. Rashad ◽  
Marwa G. Amer ◽  
Waleed M. Reda Ashour ◽  
Hassan M. Hassanin

Abstract Background Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system with varied clinical features. Disease-modifying drugs (DMDs) of MS associated with different types of thyroiditis. In this cross-sectional study, we aimed to assess the prevalence of thyroid dysfunction in MS and to investigate the association between DMDs and the risk of thyroiditis in MS. A cross-sectional study included 100 patients with relapsing-remitting multiple sclerosis (RRMS) in relapse, and the diagnosed was according to revised McDonald’s criteria 2010. Results Our results revealed that the prevalence of thyroiditis was 40%; autoimmune (34%) and infective (6%) among patients with RRMS in relapse and cerebellar symptoms were significantly higher in patients with thyroiditis compared to patients without thyroiditis. Regarding the association between DMDs and thyroiditis, the prevalence of patients treated with interferon-beta-1b was higher in MS patients with thyroiditis compared to MS patients without thyroiditis. However, the prevalence of patients treated with interferon-beta-1a was lower in MS patients with thyroiditis compared to MS patients without thyroiditis. In addition, we found CMV infection was more common in patients treated by interferon beta-1b and candida infection was common in patients treated by fingolimod. Conclusions Thyroiditis is commonly observed in patients with RRMS in relapse and higher prevalence of patients treated with interferon-beta-1b which is commonly associated with thyroiditis and CMV infection; however, candida thyroid infection was common in MS patients treated by fingolimod.


Author(s):  
Sujeet A. Divhare ◽  
Satyashil Ingale

Background: Potential importance of drug –drug interactions (DDIs) is increasing as polypharmacy becomes more prevalent. Because additional data on the incidence and pattern of potential DDIs among diabetic patients are lacking in India, and supplemental pharmacodynamic or clinical outcome information is needed to address importance of a drug- drug interaction. Aim and objectives: To identify and analyze the pattern of DDIs in patients being prescribed anti-diabetic drugs in a tertiary care hospital. Material and Methods: This prospective cross-sectional study was carried out for a period of three months in 200 Type 2 diabetes mellitus (Type 2 DM) patients who were taking at least one antidiabetic agent during the period of past six months, of any age and either sex admitted in medicine ward of a tertiary care teaching hospital. Only one prescription was included for each patient on his/her 3rd day of hospitalization in the ward. Results: A total of 1217 drugs were prescribed in 200 prescriptions, resulting in an average of 6.1 drugs per prescription. A total of 637 potential DDIs were noted. The majority were seen in middle aged and elderly people. No overall difference was detected in the patients on insulin or metformin therapy taking or not taking additional drugs with the potential to interact. Worse control was found in the group of patients on sulphonylurea therapy taking interacting drugs (P <0.05). This difference was most marked in the group of patients over 60 years of age, who also had the highest intake of potentially interacting drugs (57%; <35 years-37%). Conclusion: Antidiabetic drugs have numerous interactions. A good practice is to use a drug­–drug interaction checker if any questions arise, several are available online. Quality care starts with the clinician obtaining a complete medication list for each patient at the start of each visit. Keywords: diabetes mellitus, drug interactions, hypoglycemic agents, drug therapy, co-morbidity, polypharmacy


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