| Literature DB >> 29176850 |
Raphaël M Zellweger1, Buddha Basnyat2,3,4, Poojan Shrestha2, Krishna G Prajapati5, Sabina Dongol2, Paban K Sharma5, Samir Koirala2, Thomas C Darton1,6, Christiane Dolecek3, Corinne N Thompson1, Guy E Thwaites1,3, Stephen G Baker1,3,7, Abhilasha Karkey2,3,4.
Abstract
BACKGROUND: Salmonella serovars Typhi (S. Typhi) and Paratyphi A (S. Paratyphi A), the causative agents of enteric fever, have been routinely isolated organisms from the blood of febrile patients in the Kathmandu Valley since the early 1990s. Susceptibility against commonly used antimicrobials for treating enteric fever has gradually changed throughout South Asia since this time, posing serious treatment challenges. Here, we aimed to longitudinally describe trends in the isolation of Salmonella enterica and assess changes in their antimicrobial susceptibility in Kathmandu over a 23-year period.Entities:
Mesh:
Substances:
Year: 2017 PMID: 29176850 PMCID: PMC5720835 DOI: 10.1371/journal.pntd.0006051
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Summary of blood culture results between April 1992 and December 2014.
| Blood cultures (n = 224,741) | Number | Percentage of cultures |
|---|---|---|
| Culture negative | 173,892 | 77.37 |
| Contamination | 20,496 | 9.12 |
| 19,857 | 8.84 | |
| Culture positive for other bacteria | 10,496 | 4.67 |
* Contaminants included Bacillus spp., Coagulase negative staphylococci (excluding those from neonates), Micrococcus spp., Acinetobacter spp. and Diptheroids.
Summary of Salmonella positive blood cultures between April 1992 and December 2014.
| Positive cultures (n = 30,353) | Number | Percentage of | Percentage of bacteria positive |
|---|---|---|---|
| 13,592 | 68.45 | 44.78 | |
| 6,057 | 30.50 | 19.96 | |
| 27 | 0.14 | 0.09 | |
| 3 | 0.02 | 0.01 | |
| 4 | 0.02 | 0.01 | |
| 4 | 0.02 | 0.01 | |
| 4 | 0.02 | 0.01 | |
| Other | 166 | 0.84 | 0.55 |
Fig 1The annual distribution of bacteria positive blood cultures from 1992 to 2014. Bar graph showing the annual counts (A) and percentages (B) of Salmonella-positive cultures in all positive blood samples collected from 1992 to 2014. The annual counts and percentages of S. Typhi, S. Paratyphi, and Salmonella spp. in all Salmonella-positive cultures collected from 1992 to 2014 are shown in (C) and (D), respectively.
Fig 2The annual distribution of ward from which Salmonella positive blood cultures were taken from 1992 to 2014. Annual counts (A) and percentages (B) of the ward of origin for S. Typhi positive cultures collected from 1992 to 2014. The annual counts and percentages of the ward of origin for the S. Paratyphi positive cultures collected from 1992 to 2014 are shown in (C) and (D), respectively.
Fig 3Time series for Salmonella-positive cultures from 1992 to 2014. Plots showing the monthly time series of all Salmonella positive blood cultures (absolute numbers in (A) and trends in (B)) between April 1992 and December 2014. Time series (absolute numbers and trends) for S. Typhi are shown in (C) and (D), and for S. Paratyphi in (E) and (F).
Fig 4The antimicrobial susceptibility profiles of isolated Salmonella from 1992 to 2014. Plots summarising antimicrobial susceptibility data for all Salmonella (A), S. Typhi only (B), and S. Paratyphi only (C) from 1992 to 2014. The colour range on the heat map tiles indicate the proportion of non-susceptible isolates (blue, low; red; high), the number of isolates tested is indicated on the respective tile. Tiles with fewer than 10 isolates tested for the respective antimicrobial are not shown.
Fig 5The development of non-susceptibility against selected antimicrobials and multidrug resistance. Plots showing changes in non-susceptibility against i) nalidixic acid for S. Typhi (A) and S. Paratyphi A (B), ii) against ciprofloxacin for S. Typhi (C) and S. Paratyphi (D), iii) against cefotaxime for S. Typhi (E) and S. Paratyphi A (F), and iv) multidrug resistance for S. Typhi (G) and S. Paratyphi (H) between 1992 and 2014. The linear trend-lines (blue) and 95% CI for the regression lines (shaded) are overlaid on the data points. The slope of the regression line (with 95% CI) is indicated on each plot; two regression lines are present when a breakpoint in the slope was detected.