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1.
BMC Microbiol ; 24(1): 144, 2024 Apr 25.
Article in English | MEDLINE | ID: mdl-38664608

ABSTRACT

BACKGROUND: Klebsiella pneumoniae infections have become a major cause of hospital acquired infection worldwide with the increased rate of acquisition of resistance to antibiotics. Carbapenem resistance mainly among Gram negative is an ongoing problem which causes serious outbreaks dramatically limiting treatment options. This prospective cross-sectional study was designed to detect blaKPC gene from carbapenem resistant K. pneumoniae. MATERIALS AND METHODS: A totally of 1118 different clinical specimens were screened and confirmed for KPC producing K. pneumoniae phenotypically using Meropenem (10 µg) disc. The blaKPC gene was amplified from the isolates of K. pneumoniae to detect the presence of this gene. RESULT: Of the total samples processed, 18.6% (n = 36) were K. pneumoniae and among 36 K. pneumoniae, 61.1% (n = 22/36) were meropenem resistant. This study demonstrated the higher level of MDR 91.7% (n = 33) and KPC production 47.2% (n = 17) among K. pneumoniae isolates. The blaKPC gene was detected in 8.3% (n = 3) of meropenem resistant isolates. CONCLUSION: Since the study demonstrates the higher level of MDR and KPC producing K. pneumoniae isolates that has challenged the use of antimicrobial agents, continuous microbiology, and molecular surveillance to assist early detection and minimize the further dissemination of blaKPC should be initiated. We anticipate that the findings of this study will be useful in understanding the prevalence of KPC-producing K. pneumoniae in Nepal.


Subject(s)
Anti-Bacterial Agents , Bacterial Proteins , Klebsiella Infections , Klebsiella pneumoniae , Meropenem , Microbial Sensitivity Tests , Tertiary Care Centers , beta-Lactamases , Klebsiella pneumoniae/genetics , Klebsiella pneumoniae/drug effects , Klebsiella pneumoniae/isolation & purification , Klebsiella pneumoniae/enzymology , beta-Lactamases/genetics , Humans , Nepal/epidemiology , Klebsiella Infections/microbiology , Klebsiella Infections/epidemiology , Tertiary Care Centers/statistics & numerical data , Bacterial Proteins/genetics , Cross-Sectional Studies , Prospective Studies , Anti-Bacterial Agents/pharmacology , Meropenem/pharmacology , Male , Drug Resistance, Multiple, Bacterial/genetics , Female , Adult , Middle Aged , Young Adult , Aged , Adolescent
2.
Sci Total Environ ; 931: 171877, 2024 Mar 24.
Article in English | MEDLINE | ID: mdl-38531458

ABSTRACT

An alternative and complementary diagnostic method of surveillance is provided by wastewater-based surveillance (WBS), particularly in low-income nations like Nepal with scant wastewater treatment facilities and clinical testing infrastructure. In this study, a total of 146 water samples collected from two hospitals (n = 63) and three housing wastewaters (n = 83) from the Kathmandu Valley over the period of March 2021-Febraury 2022 were investigated for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using quantitative reverse transcription TaqMan PCR assays targeting the N and E genes. Of the total, 67 % (98/146) samples were positive for SARS-CoV-2 RNA either by using N- or E-gene assay, with concentrations ranging from 3.6 to 9.1 log10 copies/L. There was a significant difference found between positive ratio (Chi-square test, p < 0.05) and concentration (t-test, p = 0.009) of SARS-CoV-2 RNA detected from hospital wastewater and housing waters. Wastewater data are correlated with COVID-19 active cases, indicating significance in specific areas like the Hospital (APFH) (p < 0.05). According to the application of a bivariate linear regression model (p < 0.05), the concentrations of N gene may be used to predict the COVID-19 cases in the APFH. Remarkably, SARS-CoV-2 RNA was detected prior to, during, and following clinical case surges, implying that wastewater surveillance could serve as an early warning system for public health decisions. The significance of WBS in tracking and managing pandemics is emphasized by this study, especially in resource-constrained settings.

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