ABSTRACT
Maternal SARS-CoV-2 infection can adversely afect the birth and neonatal outcomes. The authors prospectively enrolled 196 neonates born to 193 SARS-CoV-2–positive mothers to determine the rate of mother-to-baby transmission of SARSCoV-2 and its efect on short-term neonatal outcomes in Indian population. Nineteen babies turned out to be RT-PCR– positive for SARS-CoV-2, carrying a perinatal transmission rate of 9.8%. Rates of prematurity and low birth weight were 12.8% and 18.9% in the neonatal group, respectively. On comparing SARS-CoV-2–positive (n=19) and negative (n=177) neonatal groups, rate of prematurity, hospital admission rate, and death rate were higher in the former group. The placental positivity rate for SARS-CoV-2 was 8.1%, but no relation was found between placental and neonatal infection.
ABSTRACT
Background: The aim of the study was to monitor the changes in antimicrobial use after implementation of Antibiotic Stewardship Programmed (ASP) and pattern of use of antimicrobials in the respective ICU抯.Methods: The study was conducted in three ICU抯 Adult ICU(AICU), Paediatric ICU (PICU), Neonatal ICU (NICU) -Six bedded each) over a period of six months from September 2018 to February 2019 in a tertiary care hospital. Antibiotics monitored over total 155 patients and antibiotics selected for the study are ?-lactam inhibitors, Carbapenem derivatives and ColistinResults: Out of total 155 patients 51% were males and the definitive therapy (Implementation of antibiotics according to the antibiotic policy of the hospital) in the respective ICU抯 showed increase from 66.7% to 83.3% after implementation of ASP activity in that particular duration. Antibiotic consumption showed fluctuation in the whole duration of the study (p value <0.05).Conclusions: Analysis of the study shows a positive impact on implementation of ASP programme in intensive care units, brought an effective increase in appropriate use of antimicrobials.
ABSTRACT
Background & objectives: Accurate diagnosis of tuberculosis (TB) is crucial to facilitate early treatment of the patients, and to reduce its spread. Clinical presentation of Mycobacterium tuberculosis complex (MTBC) and non tuberculous mycobacteria (NTM) may or may not be the same, but the treatment regimen is always different for both the infections. Differentiation between MTBC and NTM by routine laboratory methods is time consuming and cumbersome. This study was aimed to evaluate an immunochromatographic test (ICT), based on mouse monoclonal anti-MPT64, for simple and rapid discrimination between MTBC and NTM in clinical isolates from extra-pulmonary tuberculosis cases. Methods: A total of 800 clinical samples were collected from patients suspected to have extra-pulmonary tuberculosis. Preliminary diagnosis has been done by direct Ziehl–Neelsen (ZN) staining followed by culture in BACTEC system. A total of 150 clinical isolates, which were found positive in BD 460 TB system during September 2009 to September 2010 were selected for the screening by ICT test. p-nitro-α-acetylamino- β-hydroxy propiophenone (NAP) test was performed for differentiation of MTBC and NTM. M. tuberculosis complex was further confirmed by IS6110 PCR of BACTEC culture positive isolates, this served as the reference method for MTBC identification and comparative evaluation of the ICT kit. Results: Of the 150 BACTEC culture positive isolates tested by ICT kit, 101 (67.3%) were found positive for MTBC and remaining 49 (32.7%) were considered as NTM. These results were further confirmed by IS6110 PCR that served as the reference method for detection of MTBC. H37Rv reference strain was taken as a control for ICT test and IS6110 PCR. The reference strain showed the presence of MPT64 antigen band in the ICT test. Similar bands were formed in 101 of 102 MTBC isolates tested, proving 99.1 per cent sensitivity and no bands were detected in 48 (100%) NTM isolates tested, proving 100 per cent specificity of the ICT kit. Interpretation & conclusions: Our findings show that ICT test can be used on direct culture positive specimens. It does not require any special equipment, is simple and less time consuming. It can easily discriminate between MTBC and NTM and thus can help in appropriate management of tuberculosis.