Assessment of determining factors for severity of NeoCOVIDiabetes in India: A pan India multicentric retrospective study.

BACKGROUND AND AIMS: There is a bidirectional relationship between COVID-19 and diabetes. The primary objective of this study was to estimate the prevalence of patients newly detected to have diabetes (NDD) who recovered from COVID-19 in India whilst comparing NDD with patients without diabetes (ND) and those who have known to have diabetes (KD) in terms of glycemic status pre- and post-COVID with disease severity. MATERIALS & METHODOLOGY: There were 2212 participants enrolled from 15 sites, with 1630 active participants after the respective execution of selection criteria. Data collection was done using a specialized Case Record Form (CRF). Planned statistical analysis and descriptive statistics were concluded for significance between patient groups on various parameters. RESULT: The differences in age between the study groups were statistically significant. The average blood glucose at COVID-19 onset was significantly higher in KD than in NDD. Significantly more proportion of NDD (83%) had been hospitalized for COVID management when compared to KD (45%) and ND (55%). The NDD group received higher doses of steroids than the other two groups. On average, patients in the NDD group who received at least one vaccination (one dose or two doses) had a higher High-Resolution Computed Tomography (HRCT) score. Patients who had not been vaccinated in ND and KD groups experienced a higher HRCT score. CONCLUSION: Prospective metabolism studies in post-acute COVID-19 will be required to understand the etiology, prognosis, and treatment opportunities.

CHARACTERIZATION OF CLOSTRIDIUM DIFFICILE ISOLATED FROM DIARRHEAL PATIENTS IN A TERTIARY-CARE HOSPITAL, KARNATAKA, SOUTH INDIA.

Increase in Clostridium difficile infection in tertiary-care hospitals in Karnataka, South India with a paucity of data on antibiotic susceptibility and genetic characteristics of the pathogen from this region of the country necessitated this study. From April 2012 to December 2014, 480 hospitalized antibiotic-associated diarrhea cases with a history of antibiotic treatment in the previous three weeks were enrolled. Sixteen percent of the samples were positive for C. difficile toxins A and B by rapid enzyme immunoassay, anaerobic culture and multiplex PCR. In 40 representative strains, minimum inhibitory concentrations (MICs) determined by E-test revealed that 39 strains were resistant to imipenem and moxifloxacin (MIC > 32 µg/ml), 38 to clindamycin (MIC > 256 µg/ml) and 19 to tetracycline (MIC > 4 µg/ml), while all 40 strains were susceptible to ampicillin (MIC < 2 µg/ml), ampicillin sulbactam (MIC < 8 µg/ml), metronidazole (MIC < 8 µg/ml) and vancomycin group (MIC < 2 µg/ml). Pulsed field gel-electrophoresis (PFGE) of 13 representative strains grouped them into three clusters: cluster A consisting of two strains having > 65% similarity, cluster B of 6 strains with 100% similarity (considered clonal) and 3 strains with > 85% similarity, and cluster C of 2 strains with 50% similarity. Clusters A and C contained unrelated strains having different antibiograms. Periodic monitoring of resistance profiles with epidemiological typing by PFGE should aid in interpretation of emerging drug resistant C. difficile clones.