Literature DB >> 16328556

Diagnosis of candidemia by polymerase chain reaction and blood culture: prospective study in a high-risk population and identification of variables associated with development of candidemia.

M S Moreira-Oliveira1, Y Mikami, M Miyaji, T Imai, A Z Schreiber, M L Moretti.   

Abstract

The diagnosis of candidemia is important for prompt initiation of antifungal therapy. Two hundred twenty-five patients at high risk for candidemia who had blood cultures drawn and were hospitalized for more than 15 days were followed-up prospectively over a 2-year period. Polymerase chain reaction (PCR) and whole-blood cultures monitored by the automated BactAlert system (Organon Teknika, Durham, NC, USA) were used to detect candidemia in all patients hospitalized in high-risk areas for more than 15 days. DNA was extracted and amplified using ITS5 and ITS4 base pair primers, and the PCR products were sequenced for identification of Candida spp. A blood culture positive for Candida was considered the gold standard for diagnosis of candidemia. Variables associated with the development of candidemia diagnosed by positive blood culture were also evaluated in the patients. The overall mortality rate was 26.1%. Mortality in candidemic patients was 41.9% and in noncandidemic patients 22.5% (p = 0.009). PCR sensitivity and specificity were 72.1 and 91.2%, respectively. Positive and negative predictive values were 65.9 and 93.2%, respectively. The logistic regression of the multivariate analysis showed that parenteral nutrition (p < 0.0001), fever (p = 0.01), neutropenia (p = 0.04), and an indwelling urinary catheter (p = 0.02) were significant variables associated with the development of candidemia. The PCR technique in conjunction with DNA sequencing was a helpful tool in the diagnosis of candidemia.

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Year:  2005        PMID: 16328556     DOI: 10.1007/s10096-005-0041-7

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  31 in total

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Authors:  Luis Ostrosky-Zeichner
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Journal:  Rev Soc Bras Med Trop       Date:  2003-10-21       Impact factor: 1.581

3.  High rate of non-albicans candidemia in Brazilian tertiary care hospitals.

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Journal:  Diagn Microbiol Infect Dis       Date:  1999-08       Impact factor: 2.803

4.  Temporal assessment of Candida risk factors in the surgical intensive care unit.

Authors:  P S McKinnon; D A Goff; J W Kern; J W Devlin; J F Barletta; S J Sierawski; A C Mosenthal; P Gore; A J Ambegaonkar; T J Lubowski
Journal:  Arch Surg       Date:  2001-12

5.  Rapid identification of Candida species in blood cultures by a clinically useful PCR method.

Authors:  J H Shin; F S Nolte; C J Morrison
Journal:  J Clin Microbiol       Date:  1997-06       Impact factor: 5.948

6.  Simple and rapid detection of Candida albicans DNA in serum by PCR for diagnosis of invasive candidiasis.

Authors:  R Wahyuningsih; H J Freisleben; H G Sonntag; P Schnitzler
Journal:  J Clin Microbiol       Date:  2000-08       Impact factor: 5.948

7.  Retrospective study of candidemia in patients with hematological malignancies. Clinical features, risk factors and outcome of 76 episodes.

Authors:  L Pagano; A Antinori; A Ammassari; L Mele; A Nosari; L Melillo; B Martino; M Sanguinetti; F Equitani; F Nobile; M Carotenuto; E Morra; G Morace; G Leone
Journal:  Eur J Haematol       Date:  1999-08       Impact factor: 2.997

8.  Improved detection of Candida albicans by PCR in blood of neutropenic mice with systemic candidiasis.

Authors:  A J van Deventer; W H Goessens; A van Belkum; H J van Vliet; E W van Etten; H A Verbrugh
Journal:  J Clin Microbiol       Date:  1995-03       Impact factor: 5.948

9.  Incidence of bloodstream infections due to Candida species and in vitro susceptibilities of isolates collected from 1998 to 2000 in a population-based active surveillance program.

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Journal:  J Clin Microbiol       Date:  2004-04       Impact factor: 5.948

10.  Molecular probes for diagnosis of fungal infections.

Authors:  G S Sandhu; B C Kline; L Stockman; G D Roberts
Journal:  J Clin Microbiol       Date:  1995-11       Impact factor: 5.948

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  15 in total

Review 1.  Polymerase chain reaction-based assays for the diagnosis of invasive fungal infections.

Authors:  Themistoklis K Kourkoumpetis; Beth Burgwyn Fuchs; Jeffrey J Coleman; Athanasios Desalermos; Eleftherios Mylonakis
Journal:  Clin Infect Dis       Date:  2012-02-23       Impact factor: 9.079

2.  Visual analysis of DNA microarray data for accurate molecular identification of non-albicans Candida isolates from patients with candidemia episodes.

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3.  Early identification of sepsis.

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Review 4.  Molecular and nonmolecular diagnostic methods for invasive fungal infections.

Authors:  Marios Arvanitis; Theodora Anagnostou; Beth Burgwyn Fuchs; Angela M Caliendo; Eleftherios Mylonakis
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5.  Comparison of DNA Microarray, Loop-Mediated Isothermal Amplification (LAMP) and Real-Time PCR with DNA Sequencing for Identification of Fusarium spp. Obtained from Patients with Hematologic Malignancies.

Authors:  Marcela de Souza; Tetsuhiro Matsuzawa; Kanae Sakai; Yasunori Muraosa; Luzia Lyra; Ariane Fidelis Busso-Lopes; Anna Sara Shafferman Levin; Angélica Zaninelli Schreiber; Yuzuru Mikami; Tohoru Gonoi; Katsuhiko Kamei; Maria Luiza Moretti; Plínio Trabasso
Journal:  Mycopathologia       Date:  2017-03-21       Impact factor: 2.574

Review 6.  PCR diagnosis of invasive candidiasis: systematic review and meta-analysis.

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Journal:  J Clin Microbiol       Date:  2010-11-24       Impact factor: 5.948

Review 7.  Invasive candidiasis in pediatric intensive care units.

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Journal:  Indian J Pediatr       Date:  2009-11-12       Impact factor: 1.967

8.  Effect of antifungal therapy timing on mortality in cancer patients with candidemia.

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Journal:  Antimicrob Agents Chemother       Date:  2009-11-02       Impact factor: 5.191

Review 9.  An Italian consensus for invasive candidiasis management (ITALIC).

Authors:  L Scudeller; C Viscoli; F Menichetti; V del Bono; F Cristini; C Tascini; M Bassetti; P Viale
Journal:  Infection       Date:  2013-11-25       Impact factor: 3.553

10.  Evaluation of an immunomagnetic separation method to capture Candida yeasts cells in blood.

Authors:  Véronique Apaire-Marchais; Marie Kempf; Corinne Lefrançois; Agnès Marot; Patricia Licznar; Jane Cottin; Daniel Poulain; Raymond Robert
Journal:  BMC Microbiol       Date:  2008-09-22       Impact factor: 3.605

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