Bacteremia by Chryseobacterium indologenes in a Patient with Lung Cancer: A Clinical and Microbiological Investigation.

We present a case of bacteremia by an unsual, instrinsically multidrug resistant organism, Chryseobacterium indologenes in a 59 year old gentleman with squamous cell carcinoma of lung with multiple metastasis. Despite of treating as per sensitivity report after isolatingChryseobacterium indologenes, patient could not be survived. The pathogenicity and predictability of the organism towards antibiotics, bothin vivo and in vitro needs further research. HOW TO CITE THIS ARTICLE: Bhagawati G, Bhardwaj A et al. Bacteremia by Chryseobacterium Indologenes in a Patient with Lung Cancer: A Clinical and Microbiological Investigation. Indian J Crit Care Med 2019;23(3):157-159.

Exploring machine learning and statistical approach techniques for landslide susceptibility mapping in Siwalik Himalayan Region using geospatial technology.

Landslides are a natural threat that poses a severe risk to human life and the environment. In the Kumaon mountains region in Uttarakhand (India), Nainital is among the most vulnerable areas prone to landslides inflicting harm to livelihood and civilization due to frequent landslides. Developing a landslide susceptibility map (LSM) in this Nainital area will help alleviate the probability of landslide occurrence. GIS and statistical-based approaches like the certainty factor (CF), information value (IV), frequency ratio (FR) and logistic regression (LR) are used for the assessment of LSM. The landslide inventories were prepared using topography, satellite imagery, lithology, slope, aspect, curvature, soil, land use and land cover, geomorphology, drainage density and lineament density to construct the geodatabase of the elements affecting landslides. Furthermore, the receiver operating characteristic (ROC) curve was used to check the accuracy of the predicting model. The results for the area under the curves (AUCs) were 87.8% for logistic regression, 87.6% for certainty factor, 87.4% for information value and 84.8% for frequency ratio, which indicates satisfactory accuracy in landslide susceptibility mapping. The present study perfectly combines GIS and statistical approaches for mapping landslide susceptibility zonation. Regional land use planners and natural disaster management will benefit from the proposed framework for landslide susceptibility maps.

Impact of adaptive natural killer cells, KLRC2 genotype and cytomegalovirus reactivation on late mortality in patients with severe COVID-19 lung disease.

OBJECTIVE: SARS-CoV-2 infection results in severe lung disease in up to 50% of hospitalised patients. The aetiopathogenesis in a subset of such patients, who continue to have progressive pulmonary disease following virus clearance, remains unexplored. METHODS: We investigated the role of NKG2C+/NKG2A- adaptive natural killer (ANK) cells, KLRC2 genotype and cytomegalovirus (CMV) reactivation in 22 such patients. RESULTS: The median duration of virus positivity was 23 days, and the median duration of hospitalisation was 48 days. The overall survival at 60 days in this group was 50%. Older age and comorbidities impacted survival negatively. CMV viraemia was documented in 11 patients, with a survival of 25% vs 80% in those without viraemia with viral load correlating with mortality. Both NK and T cells were markedly depressed in all patients at day 15. However, only persistently low ANK cells at 30 days along with an inversely high NKG2C-/NKG2A+ inhibitory NK cells significantly correlated with high CMV viraemia and mortality, irrespective of KLRC2 genotype. However, day 30 ANK cells were significantly lower in the KLRC2 deletion group. The release of IFN-γ and perforin was severely compromised in all patients at day +15, with significant improvement in the survivors at day +30, but not in those with adverse outcome. CONCLUSION: Patients with progressive lung disease even after negative SARS-CoV-2 status, with persistently reduced and functionally compromised ANK cells, are more likely to have CMV reactivation and an adverse outcome, independent of KLRC2 genotype.

How efficacious are Neem, Tulsi, Guduchi extracts and chlorhexidine as intracanal disinfectants? A comparative ex vivo study.

INTRODUCTION: In endodontics, despite careful instrumentation and antimicrobial irrigation, root canals still harbor cultivable microorganisms. Such cases require intra canal medicament that eliminates the microbial inhabitants from the canals. Recent trend advocates the use of herbal extracts due to easy availability, cost-effectiveness, low toxicity, and lack of microbial resistance. Hence, in the present study, Neem, Tulsi, and Guduchi extracts were used as intracanal medicaments. AIM: This study aimed to evaluate and compare the antibacterial efficacy of Neem, Tulsi, Guduchi extracts, and chlorhexidine against Enterococcus faecalis, when used as intracanal medicaments. MATERIALS AND METHODS: One hundred and twenty-five extracted human teeth, inoculated with E. faecalis, were divided into four experimental groups and a control group (n = 25 in each group). The experimental groups were treated with chlorhexidine, Neem, Tulsi, and Guduchi extracts and their antibacterial property was evaluated by estimating microbial counting (CFU/ml). RESULTS: The reduction in bacterial count for chlorhexidine, Neem, Tulsi, and Guduchi groups was 60.76%, 51.98%, 37.73%, and 34.93%, respectively. Statistically significant difference in reduction of bacterial count was observed in all the groups, when compared with the control group. CONCLUSION: Among all the herbal extracts, Neem was found to be the most potent medicament followed by Tulsi and Guduchi. However, chlorhexidine was found to be at epic.