Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting
Background Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described speci...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sow, Doudou [verfasserIn] Fall, Bécaye [verfasserIn] Ndiaye, Magatte [verfasserIn] Ba, Bissoume Sambe [verfasserIn] Sylla, Khadime [verfasserIn] Tine, Roger [verfasserIn] Lô, Aminata Collé [verfasserIn] Abiola, Annie [verfasserIn] Wade, Boubacar [verfasserIn] Dieng, Thérèse [verfasserIn] Dieng, Yémou [verfasserIn] Ndiaye, Jean Louis [verfasserIn] Hennequin, Christophe [verfasserIn] Gaye, Oumar [verfasserIn] Faye, Babacar [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Mycopathologia - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1938, 180(2015), 3-4 vom: 28. Mai, Seite 173-179 |
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| Übergeordnetes Werk: |
volume:180 ; year:2015 ; number:3-4 ; day:28 ; month:05 ; pages:173-179 |
| Links: |
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| DOI / URN: |
10.1007/s11046-015-9905-2 |
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SPR016267540 |
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| 520 | |a Background Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context. Methods A total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches. Results Overall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35€ for the MALDI-TOF MS. Conclusion MALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. Moreover, this approach appears to be cost-effective and should be implemented especially in resource-poor context. | ||
| 650 | 4 | |a MALDI-TOF MS |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Resource-limited settings |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Routine identification procedure |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Fall, Bécaye |e verfasserin |4 aut | |
| 700 | 1 | |a Ndiaye, Magatte |e verfasserin |4 aut | |
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| 700 | 1 | |a Lô, Aminata Collé |e verfasserin |4 aut | |
| 700 | 1 | |a Abiola, Annie |e verfasserin |4 aut | |
| 700 | 1 | |a Wade, Boubacar |e verfasserin |4 aut | |
| 700 | 1 | |a Dieng, Thérèse |e verfasserin |4 aut | |
| 700 | 1 | |a Dieng, Yémou |e verfasserin |4 aut | |
| 700 | 1 | |a Ndiaye, Jean Louis |e verfasserin |4 aut | |
| 700 | 1 | |a Hennequin, Christophe |e verfasserin |4 aut | |
| 700 | 1 | |a Gaye, Oumar |e verfasserin |4 aut | |
| 700 | 1 | |a Faye, Babacar |e verfasserin |4 aut | |
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10.1007/s11046-015-9905-2 doi (DE-627)SPR016267540 (SPR)s11046-015-9905-2-e DE-627 ger DE-627 rakwb eng 570 ASE 44.00 bkl Sow, Doudou verfasserin aut Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context. Methods A total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches. Results Overall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35€ for the MALDI-TOF MS. Conclusion MALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. Moreover, this approach appears to be cost-effective and should be implemented especially in resource-poor context. MALDI-TOF MS (dpeaa)DE-He213 Resource-limited settings (dpeaa)DE-He213 species (dpeaa)DE-He213 Routine identification procedure (dpeaa)DE-He213 Fall, Bécaye verfasserin aut Ndiaye, Magatte verfasserin aut Ba, Bissoume Sambe verfasserin aut Sylla, Khadime verfasserin aut Tine, Roger verfasserin aut Lô, Aminata Collé verfasserin aut Abiola, Annie verfasserin aut Wade, Boubacar verfasserin aut Dieng, Thérèse verfasserin aut Dieng, Yémou verfasserin aut Ndiaye, Jean Louis verfasserin aut Hennequin, Christophe verfasserin aut Gaye, Oumar verfasserin aut Faye, Babacar verfasserin aut Enthalten in Mycopathologia Dordrecht [u.a.] : Springer Science + Business Media B.V., 1938 180(2015), 3-4 vom: 28. Mai, Seite 173-179 (DE-627)320430022 (DE-600)2003647-4 1573-0832 nnns volume:180 year:2015 number:3-4 day:28 month:05 pages:173-179 https://dx.doi.org/10.1007/s11046-015-9905-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.00 ASE AR 180 2015 3-4 28 05 173-179 |
| spelling |
10.1007/s11046-015-9905-2 doi (DE-627)SPR016267540 (SPR)s11046-015-9905-2-e DE-627 ger DE-627 rakwb eng 570 ASE 44.00 bkl Sow, Doudou verfasserin aut Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context. Methods A total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches. Results Overall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35€ for the MALDI-TOF MS. Conclusion MALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. Moreover, this approach appears to be cost-effective and should be implemented especially in resource-poor context. MALDI-TOF MS (dpeaa)DE-He213 Resource-limited settings (dpeaa)DE-He213 species (dpeaa)DE-He213 Routine identification procedure (dpeaa)DE-He213 Fall, Bécaye verfasserin aut Ndiaye, Magatte verfasserin aut Ba, Bissoume Sambe verfasserin aut Sylla, Khadime verfasserin aut Tine, Roger verfasserin aut Lô, Aminata Collé verfasserin aut Abiola, Annie verfasserin aut Wade, Boubacar verfasserin aut Dieng, Thérèse verfasserin aut Dieng, Yémou verfasserin aut Ndiaye, Jean Louis verfasserin aut Hennequin, Christophe verfasserin aut Gaye, Oumar verfasserin aut Faye, Babacar verfasserin aut Enthalten in Mycopathologia Dordrecht [u.a.] : Springer Science + Business Media B.V., 1938 180(2015), 3-4 vom: 28. Mai, Seite 173-179 (DE-627)320430022 (DE-600)2003647-4 1573-0832 nnns volume:180 year:2015 number:3-4 day:28 month:05 pages:173-179 https://dx.doi.org/10.1007/s11046-015-9905-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.00 ASE AR 180 2015 3-4 28 05 173-179 |
| allfields_unstemmed |
10.1007/s11046-015-9905-2 doi (DE-627)SPR016267540 (SPR)s11046-015-9905-2-e DE-627 ger DE-627 rakwb eng 570 ASE 44.00 bkl Sow, Doudou verfasserin aut Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context. Methods A total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches. Results Overall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35€ for the MALDI-TOF MS. Conclusion MALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. Moreover, this approach appears to be cost-effective and should be implemented especially in resource-poor context. MALDI-TOF MS (dpeaa)DE-He213 Resource-limited settings (dpeaa)DE-He213 species (dpeaa)DE-He213 Routine identification procedure (dpeaa)DE-He213 Fall, Bécaye verfasserin aut Ndiaye, Magatte verfasserin aut Ba, Bissoume Sambe verfasserin aut Sylla, Khadime verfasserin aut Tine, Roger verfasserin aut Lô, Aminata Collé verfasserin aut Abiola, Annie verfasserin aut Wade, Boubacar verfasserin aut Dieng, Thérèse verfasserin aut Dieng, Yémou verfasserin aut Ndiaye, Jean Louis verfasserin aut Hennequin, Christophe verfasserin aut Gaye, Oumar verfasserin aut Faye, Babacar verfasserin aut Enthalten in Mycopathologia Dordrecht [u.a.] : Springer Science + Business Media B.V., 1938 180(2015), 3-4 vom: 28. Mai, Seite 173-179 (DE-627)320430022 (DE-600)2003647-4 1573-0832 nnns volume:180 year:2015 number:3-4 day:28 month:05 pages:173-179 https://dx.doi.org/10.1007/s11046-015-9905-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.00 ASE AR 180 2015 3-4 28 05 173-179 |
| allfieldsGer |
10.1007/s11046-015-9905-2 doi (DE-627)SPR016267540 (SPR)s11046-015-9905-2-e DE-627 ger DE-627 rakwb eng 570 ASE 44.00 bkl Sow, Doudou verfasserin aut Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context. Methods A total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches. Results Overall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35€ for the MALDI-TOF MS. Conclusion MALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. Moreover, this approach appears to be cost-effective and should be implemented especially in resource-poor context. MALDI-TOF MS (dpeaa)DE-He213 Resource-limited settings (dpeaa)DE-He213 species (dpeaa)DE-He213 Routine identification procedure (dpeaa)DE-He213 Fall, Bécaye verfasserin aut Ndiaye, Magatte verfasserin aut Ba, Bissoume Sambe verfasserin aut Sylla, Khadime verfasserin aut Tine, Roger verfasserin aut Lô, Aminata Collé verfasserin aut Abiola, Annie verfasserin aut Wade, Boubacar verfasserin aut Dieng, Thérèse verfasserin aut Dieng, Yémou verfasserin aut Ndiaye, Jean Louis verfasserin aut Hennequin, Christophe verfasserin aut Gaye, Oumar verfasserin aut Faye, Babacar verfasserin aut Enthalten in Mycopathologia Dordrecht [u.a.] : Springer Science + Business Media B.V., 1938 180(2015), 3-4 vom: 28. Mai, Seite 173-179 (DE-627)320430022 (DE-600)2003647-4 1573-0832 nnns volume:180 year:2015 number:3-4 day:28 month:05 pages:173-179 https://dx.doi.org/10.1007/s11046-015-9905-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.00 ASE AR 180 2015 3-4 28 05 173-179 |
| allfieldsSound |
10.1007/s11046-015-9905-2 doi (DE-627)SPR016267540 (SPR)s11046-015-9905-2-e DE-627 ger DE-627 rakwb eng 570 ASE 44.00 bkl Sow, Doudou verfasserin aut Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context. Methods A total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches. Results Overall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35€ for the MALDI-TOF MS. Conclusion MALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. Moreover, this approach appears to be cost-effective and should be implemented especially in resource-poor context. MALDI-TOF MS (dpeaa)DE-He213 Resource-limited settings (dpeaa)DE-He213 species (dpeaa)DE-He213 Routine identification procedure (dpeaa)DE-He213 Fall, Bécaye verfasserin aut Ndiaye, Magatte verfasserin aut Ba, Bissoume Sambe verfasserin aut Sylla, Khadime verfasserin aut Tine, Roger verfasserin aut Lô, Aminata Collé verfasserin aut Abiola, Annie verfasserin aut Wade, Boubacar verfasserin aut Dieng, Thérèse verfasserin aut Dieng, Yémou verfasserin aut Ndiaye, Jean Louis verfasserin aut Hennequin, Christophe verfasserin aut Gaye, Oumar verfasserin aut Faye, Babacar verfasserin aut Enthalten in Mycopathologia Dordrecht [u.a.] : Springer Science + Business Media B.V., 1938 180(2015), 3-4 vom: 28. Mai, Seite 173-179 (DE-627)320430022 (DE-600)2003647-4 1573-0832 nnns volume:180 year:2015 number:3-4 day:28 month:05 pages:173-179 https://dx.doi.org/10.1007/s11046-015-9905-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.00 ASE AR 180 2015 3-4 28 05 173-179 |
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Enthalten in Mycopathologia 180(2015), 3-4 vom: 28. Mai, Seite 173-179 volume:180 year:2015 number:3-4 day:28 month:05 pages:173-179 |
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Sow, Doudou @@aut@@ Fall, Bécaye @@aut@@ Ndiaye, Magatte @@aut@@ Ba, Bissoume Sambe @@aut@@ Sylla, Khadime @@aut@@ Tine, Roger @@aut@@ Lô, Aminata Collé @@aut@@ Abiola, Annie @@aut@@ Wade, Boubacar @@aut@@ Dieng, Thérèse @@aut@@ Dieng, Yémou @@aut@@ Ndiaye, Jean Louis @@aut@@ Hennequin, Christophe @@aut@@ Gaye, Oumar @@aut@@ Faye, Babacar @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR016267540</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519212747.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201006s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11046-015-9905-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR016267540</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11046-015-9905-2-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Sow, Doudou</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context. Methods A total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches. Results Overall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35€ for the MALDI-TOF MS. Conclusion MALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. 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|
| author |
Sow, Doudou |
| spellingShingle |
Sow, Doudou ddc 570 bkl 44.00 misc MALDI-TOF MS misc Resource-limited settings misc species misc Routine identification procedure Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting |
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Sow, Doudou |
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@@773@@(DE-627)320430022 |
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electronic Article |
| dewey-ones |
570 - Life sciences; biology |
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keep |
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aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut |
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springer |
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true |
| illustrated |
Not Illustrated |
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1573-0832 |
| topic_title |
570 ASE 44.00 bkl Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting MALDI-TOF MS (dpeaa)DE-He213 Resource-limited settings (dpeaa)DE-He213 species (dpeaa)DE-He213 Routine identification procedure (dpeaa)DE-He213 |
| topic |
ddc 570 bkl 44.00 misc MALDI-TOF MS misc Resource-limited settings misc species misc Routine identification procedure |
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ddc 570 bkl 44.00 misc MALDI-TOF MS misc Resource-limited settings misc species misc Routine identification procedure |
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Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting |
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Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting |
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Sow, Doudou |
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Mycopathologia |
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Sow, Doudou Fall, Bécaye Ndiaye, Magatte Ba, Bissoume Sambe Sylla, Khadime Tine, Roger Lô, Aminata Collé Abiola, Annie Wade, Boubacar Dieng, Thérèse Dieng, Yémou Ndiaye, Jean Louis Hennequin, Christophe Gaye, Oumar Faye, Babacar |
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usefulness of maldi-tof mass spectrometry for routine identification of candida species in a resource-poor setting |
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Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting |
| abstract |
Background Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context. Methods A total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches. Results Overall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35€ for the MALDI-TOF MS. Conclusion MALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. Moreover, this approach appears to be cost-effective and should be implemented especially in resource-poor context. |
| abstractGer |
Background Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context. Methods A total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches. Results Overall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35€ for the MALDI-TOF MS. Conclusion MALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. Moreover, this approach appears to be cost-effective and should be implemented especially in resource-poor context. |
| abstract_unstemmed |
Background Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context. Methods A total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches. Results Overall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35€ for the MALDI-TOF MS. Conclusion MALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. Moreover, this approach appears to be cost-effective and should be implemented especially in resource-poor context. |
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7.4002924 |