9 research outputs found

    Biphasic versus monophasic manual blood culture bottles for low-resource settings: an in-vitro study

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    Background Manual blood culture bottles (BCBs) are frequently used in low-resource settings. There are few BCB performance evaluations, especially evaluations comparing them with automated systems. We evaluated two manual BCBs (Bi-State BCB and BacT/ALERT BCB) and compared their yield and time to growth detection with those of automated BacT/ALERT system. Methods BCBs were spiked in triplicate with 177 clinical isolates representing pathogens common in low-resource settings (19 bacterial and one yeast species) in adult and paediatric volumes, resulting in 1056 spiked BCBs per BCB system. Growth in manual BCBs was evaluated daily by visually inspecting the broth, agar slant, and, for BacT/ALERT BCB, colour change of the growth indicator. The primary outcomes were BCB yield (proportion of spiked BCB showing growth) and time to detection (proportion of positive BCB with growth detected on day 1 of incubation). 95% CI for yield and growth on day 1 were calculated using bootstrap method for clustered data using. Secondary outcomes were time to colony for all BCBs (defined as number of days between incubation and colony growth sufficient to use for further testing) and difference between time to detection in broth and on agar slant for the Bi-State BCBs. Findings Overall yield was 95·9% (95% CI 93·9–98·0) for Bi-State BCB and 95·5% (93·3–97·8) for manual BacT/ALERT, versus 96·1% (94·0–98·1) for the automated BacT/ALERT system (p=0·61). Day 1 growth was present in 920 (90·8%) of 1013 positive Bi-State BCB and 757 (75·0%) of 1009 positive manual BacT/ALERT BCB, versus 1008 (99·3%) of 1015 automated bottles. On day 2, detection rates were 100% for BI-State BCB, 97·7% for manual BacT/ALERT BCB, and 100% for automated bottles. For Bi-State BCB, growth mostly occurred simultaneously in broth and slant (81·7%). Sufficient colony growth on the slant to perform further tests was present in only 44·1% of biphasic bottles on day 2 and 59·0% on day 3. Interpretation The yield of manual BCB was comparable with the automated system, suggesting that manual blood culture systems are an acceptable alternative to automated systems in low-resource settings. Bi-State BCB outperformed manual BacT/ALERT bottles, but the agar slant did not allow earlier detection nor earlier colony growth. Time to detection for manual blood culture systems still lags that of automated systems, and research into innovative and affordable methods of growth detection in manual BCBs is encouraged. Funding Médecins Sans Frontières and Department of Economy, Science and Innovation of the Flemish Government

    Clinical bacteriology in low-resource settings: today's solutions

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    Low-resource settings are disproportionately burdened by infectious diseases and antimicrobial resistance. Good quality clinical bacteriology through a well functioning reference laboratory network is necessary for effective resistance control, but low-resource settings face infrastructural, technical, and behavioural challenges in the implementation of clinical bacteriology. In this Personal View, we explore what constitutes successful implementation of clinical bacteriology in low-resource settings and describe a framework for implementation that is suitable for general referral hospitals in low-income and middle-income countries with a moderate infrastructure. Most microbiological techniques and equipment are not developed for the specific needs of such settings. Pending the arrival of a new generation diagnostics for these settings, we suggest focus on improving, adapting, and implementing conventional, culture-based techniques. Priorities in low-resource settings include harmonised, quality assured, and tropicalised equipment, consumables, and techniques, and rationalised bacterial identification and testing for antimicrobial resistance. Diagnostics should be integrated into clinical care and patient management; clinically relevant specimens must be appropriately selected and prioritised. Open-access training materials and information management tools should be developed. Also important is the need for onsite validation and field adoption of diagnostics in low-resource settings, with considerable shortening of the time between development and implementation of diagnostics. We argue that the implementation of clinical bacteriology in low-resource settings improves patient management, provides valuable surveillance for local antibiotic treatment guidelines and national policies, and supports containment of antimicrobial resistance and the prevention and control of hospital-acquired infections

    Clinical bacteriology in low-resource settings: today's solutions.

    No full text
    Low-resource settings are disproportionately burdened by infectious diseases and antimicrobial resistance. Good quality clinical bacteriology through a well functioning reference laboratory network is necessary for effective resistance control, but low-resource settings face infrastructural, technical, and behavioural challenges in the implementation of clinical bacteriology. In this Personal View, we explore what constitutes successful implementation of clinical bacteriology in low-resource settings and describe a framework for implementation that is suitable for general referral hospitals in low-income and middle-income countries with a moderate infrastructure. Most microbiological techniques and equipment are not developed for the specific needs of such settings. Pending the arrival of a new generation diagnostics for these settings, we suggest focus on improving, adapting, and implementing conventional, culture-based techniques. Priorities in low-resource settings include harmonised, quality assured, and tropicalised equipment, consumables, and techniques, and rationalised bacterial identification and testing for antimicrobial resistance. Diagnostics should be integrated into clinical care and patient management; clinically relevant specimens must be appropriately selected and prioritised. Open-access training materials and information management tools should be developed. Also important is the need for onsite validation and field adoption of diagnostics in low-resource settings, with considerable shortening of the time between development and implementation of diagnostics. We argue that the implementation of clinical bacteriology in low-resource settings improves patient management, provides valuable surveillance for local antibiotic treatment guidelines and national policies, and supports containment of antimicrobial resistance and the prevention and control of hospital-acquired infections

    A Measurement of sigma(tot) (gamma p) at s**(1/2) = 210-GeV

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    A measurement of σtot(γp) at √s = 210 GeV

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    The total photoproduction cross section is determined from a measurement of electroproduction with the ZEUS detector at HERA. The Q2 values of the virtual photons are in the range 10-7 < Q2 < 2 × 10-2 GeV2. The γp total cross section in the γp centre of mass energy range 186-233 GeV is 154 ± 16 (stat.) ± 32 (syst.) μb

    Observation of hard scattering in photoproduction at HERA

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    We report a study of electron proton collisions at very low Q<sup>2</sup>, corresponding to virtual photoproduction at centre of mass energies in the range 100–295 GeV. The distribution in transverse energy of the observed hadrons is much harder than can be explained by soft processes. Some of the events show back-to-back two-jet production at the rate and with the characteristics expected from hard two-body scattering. A subset of the two-jet events have energy in the electron direction consistent with that expected from the photon remnant in resolved photon processes
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