| Literature DB >> 25884316 |
Håvard Aamodt1,2, Stein Christian Mohn3, Samuel Maselle4, Karim P Manji5, Rob Willems6, Roland Jureen7, Nina Langeland8,9, Bjørn Blomberg10,11.
Abstract
BACKGROUND: While enterococci resistant to multiple antimicrobials are spreading in hospitals worldwide, causing urinary tract, wound and bloodstream infections, there is little published data on these infections from Africa.Entities:
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Year: 2015 PMID: 25884316 PMCID: PMC4350950 DOI: 10.1186/s12879-015-0845-8
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Antimicrobial susceptibility of enterococci causing bloodstream infection among febrile children admitted to Muhimbili National Hospital
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| Ampicillin | 25% | 11% | 19% | 100% | 100% | 100% | 53% |
| High-level Gentamicin | 67% | 33% | 52% | 56% | 67% | 60% | 56% |
| Vancomycin* | 100% | 100% | 100% | 100% | 100% | 100% | 100% |
| Linezolid | 100% | 100% | 100% | 100% | 100% | 100% | 100% |
| Quinupristin-dalfopristin | 100% | 100% | 100% | 0% | 17% | 7% | 61% |
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| Chloramphenicol | 50% | 11% | 32% | 38% | 33% | 36% | 33% |
| Doxycycline | 9% | 0% | 5% | 25% | 0% | 14% | 9% |
*Confirmed by negative PCR for vanA and vanB genes.
CA = community-acquired, HA = hospital-acquired.
Figure 1Genetic relatedness of enterococcal isolates causing bloodstream infections in Tanzanian children. The dendrogram shows genetic relatedness based on pulsed-field gel electrophoresis analysis on SmaI digested genomic DNA. Genetic relatedness was also assessed by multi-locus sequence typing and corresponding Bayesian Analysis of Population Structure (BAPS) groups are indicated in the dendrogram.
Univariate and multivariate† analysis of risk factors for enterococcal bloodstream infection among febrile children admitted to Muhimbili National Hospital (n = 1828)*
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| Neonate | 28.2% (11/39) | 29.3 (524/1789) | 0.9 (0.47-1.92) 0.883 | 0.4 (0.14-0.98) 0.046 | ‡g |
| Prematurity | 9.1 (3/33) | 3.2 (51/1570) | 3.0 (0.88 - 10.08) 0.079 | 4.4 (1.06-18.1) 0.041 | 4.7 (1.19-18.8) 0.019 |
| Male sex | 61.5 (24/39) | 55.4 (992/1789) | 1.3 (0.67 - 2.47) 0.450 | ‡e | 2.9 (1.03-7.91) 0.043 |
| Hospital acquired infection# | 48.7 (19/39) | 33.2 (594/1789) | 1.9 (1.01 - 3.61) 0.046 | 2.0 (0.96– 4.00) 0.066 | 1.8 (0.73-4.29) 0.209 |
| Antibiotic use before blood culture | 66.7 (26/39) | 57.0 (1020/1789) | 1.5 (0.77 – 2.95) 0.231 | ‡c | ‡b |
| Cephalosporin use before blood culture | 5.1 (2/39) | 4.0% (71/1789) | 1.3 (0.31 – 5.53) 0.715 | ‡a | ‡c |
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| Malnutrition | 21.2 (7/33) | 15.4 (241/1570) | 1.5 (0.64 - 3.46) 0.360 | ‡f | 3.7 (1.24-11.28) 0.019 |
| HIV infection | 13.0 (3/23) | 18.8 (173/919) | 0.6 (0.19 – 2.20) 0.486 | § | 0.5 (0.14-2.04) 0.363§ |
| Urinary tract infection | 12.1% (4/33) | 11.4% (179/1570) | 1.1 (0.37- 3.08) 0.898 | ‡b | ‡a |
| Pneumonia | 21.2% (7/33) | 20.1% (315/1570) | 1.1 (0.46- 2.49) 0.871 | ‡d | ‡e |
| Sepsis with unknown focus | 45.5% (15/33) | 29.4% (462/1570) | 2.0 (1.00- 4.00) 0.050 | 2.9 (1.36-6.20) 0.006 | 2.6 (1.06-6.55) 0.037 |
| Congenital heart disease | 6.1% (2/33) | 2.3% (36/1570) | 2.7 (0.63- 11.93) 0.177 | ‡g | ‡d |
| Acute watery diarrhoea | 9.1 (3/33) | 21.8 (343/1570) | 0.4 (0.11 - 1.18) 0.091 | 0.3 (0.09-1.07) 0.065 | ‡f |
OR = Odds ratio, 95% CI = 95% confidence interval, *There are varying numbers of patients evaluated for each risk factor because, among the 1828 study persons, we only have information on HIV status for n = 942 and sufficient clinical information for n = 1603. #Hospital acquired = blood culture taken >48 hours after admission †Multivariate analysis was performed by stepwise backwards logistic regression with threshold p = 0.2 for removal from the model and p = 0.05 for inclusion, ‡Risk factors were removed in a stepwise fashion in the sequence of ascending letters from “a” to “g”, §HIV was removed from the first logistic regression because the many missing values would affect the model, HIV was locked in the second model although number of observations were reduced.