Abstract
A data analysis of yeast collections from the National China Hospital Invasive Fungal Surveillance Net (CHIF-NET) programme in 2013 revealed a sudden increase in the proportion of Candida parapsilosis complex isolates (n = 98) in one participating hospital (Hospital H). Out of 443 yeast isolates submitted to the CHIF-NET reference laboratory by Hospital H (2010–2014), 212 (47.9%) were identified as C. parapsilosis sensu stricto by sequencing analysis of the internal transcribed spacer region and D1/D2 domain of the 26S rRNA gene. Among the 212 C. parapsilosis sensu stricto isolates, 176 (83.0%) bloodstream-based isolates and 25 isolates from tip cultures of various vascular catheters from 25 patients with candidaemia, were subjected to microsatellite genotyping, and a phylogenetic relationship analysis was performed for 152 isolates. Among the 152 isolates, 45 genotypes (T01 to T45) were identified, and two prevalent genotypes (63.8%) were found: T15 (n = 74, 48.7%) and T16 (n = 23, 15.1%). These two main clones were confined mainly to three different wards of the hospital, and they persisted for 16–25 months and 12–13 months, respectively. The lack of proper coordination between the clinical microbiology laboratory and infection control staff as part of public health control resulted in the failure to timely identify an outbreak, which led to the wide and long-term dissemination of C. parapsilosis sensu stricto in Hospital H.
Healthcare-associated infections are important causes of morbidity and mortality among hospitalized patients worldwide. Most nosocomial infections are caused by multidrug-resistant (MDR) bacteria such as methicillin-resistant Staphylococcus aureus (MRSA), carbapenem-resistant Enterobacteriaceae and Acinetobacter baumannii, with outbreaks commonly reported1,2,3,4,5,6. However, nosocomial infections caused by fungi, including outbreaks, have been less frequently reported.
Candidaemia is increasingly being recognized as an important cause of morbidity and mortality in critically ill patients7,8,9. It is generally agreed that candidaemia is an endogenous infection arising from autoinfection after prior colonization of the gastrointestinal tract, skin, or vagina6. However, commensalism followed by colonization, which usually precedes dissemination of the organism, may have a nosocomial origin6. The majority of nosocomially acquired candidaemia cases are caused by Candida albicans7, although the emergence of Candida tropicalis, C. glabrata and C. parapsilosis has also been reported8,9. C. parapsilosis is now considered an important fungal pathogen, being the predominant Candida species in bloodstream infections9.
C. parapsilosis is a significant clinical pathogen that can grow in total parenteral nutrition, can form biofilms on catheters and other implanted devices, can persist in the hospital environment, and may be nosocomially transmitted by hand carriage10,11,12. This organism is the main Candida species responsible for a significant proportion of outbreaks of nosocomial fungaemia, particularly in neonate intensive care units (NICUs)13,14,15,16,17,18. However, there are limited studies exclusively assessing the epidemiology of candidaemia caused by C. parapsilosis in China, and no description of C. parapsilosis clustering or outbreak cases has been reported to date19.
The National China Hospital Invasive Fungal Surveillance Net (CHIF-NET) programme is a nationwide, multicentre surveillance network established in July 2009 to provide up-to-date information on the epidemiology of invasive fungal infections in China20,21. An analysis of the data obtained in the CHIF-NET programme for the years 2010–2014 revealed an increase in the proportion of C. parapsilosis sensu stricto isolates in one particular hospital (Hospital H). This increase was particularly marked in the years 2013 and 2014, in which the proportion of C. parapsilosis sensu stricto isolates (among all yeasts) was much higher than the annual average level in the past three years, as well as that of other CHIF-NET participating hospitals. This finding prompted us to carry out an in-depth analysis and study of C. parapsilosis sensu stricto isolates from Hospital H.
The purpose of this study was to investigate the microbiological characteristics of C. parapsilosis sensu stricto isolates collected under the CHIF-NET programme from September 2009 to August 2014, and to analyse the possible clonal transmission of the C. parapsilosis sensu stricto in one hospital (Hospital H).
Results
Identification of isolates
Consecutive yeast isolates (n = 443) recovered from hospitalized patients with invasive yeast infection at Hospital H (August 2009 to July 2014) were submitted to the CHIF-NET reference laboratory, namely Peking Union Medical College Hospital (PUMCH). Based on the identification results obtained using a commercial phenotypic identification method (Vitek 2 Compact YST card) at the Clinical Microbiology Laboratory of Hospital H, there were 186 (42.0%) C. parapsilosis complex isolates and 257 isolates of non-C. parapsilosis complex yeasts. A detailed analysis of the distribution of C. parapsilosis complex isolates from Hospital H for the period 2010–2014 showed a sharp increase in the proportion of these isolates over the years, ranging from 13.2% (9/68) in 2010 to as high as 65.3% (98/150) in 2013 and 57.0% (53/93) in 2014 (P < 0.001).
After species confirmation (at the reference laboratory) by sequencing analysis of the internal transcribed spacer (ITS) region and D1/D2 domain of the 26S rRNA gene for the 443 yeast isolates from Hospital H, 212 (47.8%) isolates were identified as C. parapsilosis sensu stricto (Fig. 1). The remaining 231 non-C. parapsilosis sensu stricto species isolates included 15 yeast species, mainly C. albicans (n = 98), C. glabrata complex (n = 32), Cryptococcus neoformans complex (n = 31), C. tropicalis (n = 30), and Rhodotorula mucilaginosa (n = 15). The identification results for the 443 yeast isolates by sequencing analysis of the ITS region and the D1/D2 domain of the 26S rRNA gene were identical.
Of the 186 isolates identified initially as the C. parapsilosis complex at Hospital H, 182 (97.8%) were confirmed by ITS sequencing to be C. parapsilosis sensu stricto, one as C. metapsilosis (no C. orthopsilosis isolate was found), two as Candida glabrata sensu stricto, and one as Cryptococcus laurentii. Furthermore, among the 257 isolates initially identified as non-C. parapsilosis complex at Hospital H, 30 (11.7%) were confirmed as C. parapsilosis sensu stricto and four as C. metapsilosis, by ITS sequencing. The 212 C. parapsilosis sensu stricto isolates were recovered from various clinical specimens (176 from blood cultures collected from peripheral veins, 33 from various vascular catheter tip cultures, two from bronchoalveolar lavage fluid, and one from surgical drainage) of 155 patients (Fig. 1). Various vascular catheters included peripheral venous, central venous, arterial, and peripherally inserted central catheters. The 33 C. parapsilosis sensu stricto isolates from tip cultures of various vascular catheters were obtained from 33 patients, 25 of whom had also similar yeast species cultured from peripheral vein blood cultures.
An analysis on the distribution of yeast species isolated from Hospital H by year of submission to the CHIF-NET programme showed an obvious increasing trend in the proportion of C. parapsilosis sensu stricto isolates (among all yeasts). Specifically, a modest rise was observed from 13.2% (9/68) in 2010 to 27.0% (20/74) and 19% (11/58) in 2011 and 2012, respectively. However, a remarkable rise to 78.7% (118/150) and 58.1% (54/93) was noted in the years 2013 and 2014, respectively (Fig. 2). Furthermore, compared with another eight hospitals that also consistently participated in the CHIF-NET programme, the proportion of C. parapsilosis sensu stricto isolates from Hospital H for the year 2013 was significantly higher (78.7% vs. <30.0% for others; P < 0.001) (Fig. 2). Similarly, in another hospital (Hospital I), there was a significant rise in the proportion of C. parapsilosis sensu stricto isolates (among all yeasts), from 11.8% (6 of 51) in 2013 to 50.8% (64 of 126) in 2014 (P < 0.001).
An overwhelming majority (176, 83.0%) of the 212 C. parapsilosis sensu stricto isolates from Hospital H were obtained from blood cultures of 144 hospitalized patients with candidaemia. This cohort of isolates was included in the genotyping study. In addition, 25 isolates recovered from tip cultures of various vascular catheters of 25 of the 144 patients with candidaemia, were also subjected to genotyping in order to investigate possible catheter-related candidaemia (Fig. 1). Using the Vitek 2 yeast identification card, the 176 isolates were identified at the Clinical Microbiology Laboratory of Hospital H as C. parapsilosis complex (151/176; 85.8%), Candida famata (22/176; 12.5%), C. glabrata complex (2/176; 1.1%) and C. laurentii (1/176; 0.6%).
The 144 hospitalized patients with candidaemia were composed of 80 males and 64 females, with an average age of 67 years (Table 1). These patients were admitted in 13 different wards, and 123 (85.4%) stayed in three main wards: a 126-bed general surgery ward (with three separate locations; 47 patients; 47 isolates), a 42-bed general intensive care unit (ICU) (with three separate locations; 41 patients; 43 isolates), and a 120-bed very important person (VIP) ward (10 different floors; 35 patients; 40 isolates). More than 90% of patients admitted to the VIP ward were elderly (>80 years old).
Table 1. Demographic data of patients.
Patient characteristics | Variable | No. (%) of patients hospitalized in each indicated hospital setting |
||||
---|---|---|---|---|---|---|
General surgery ward | General ICU | VIP ward | Other wardsa | Total | ||
Sex | Male | 26 (55.3) | 23 (56.1) | 25 (71.4) | 6 (28.6) | 80 (55.6) |
Female | 21 (44.7) | 18 (43.9) | 10 (28.6) | 15 (71.4) | 64 (44.4) | |
Age | <20 | 1 (2.1) | 1 (2.4) | 0 | 0 | 2 (1.4) |
21–40 | 6 (12.8) | 4 (9.8) | 0 | 3 (14.3) | 13 (9.0) | |
41–60 | 17 (36.2) | 11 (26.8) | 1 (2.9) | 5 (23.8) | 34 (23.6) | |
61–80 | 21 (44.9) | 21 (51.2) | 1 (2.9) | 7 (33.3) | 50 (34.7) | |
>80 | 2 (4.3) | 4 (9.8) | 33 (94.3) | 6 (28.6) | 45 (31.3) | |
No. of patients | All age groups | 47 | 41 | 35 | 21 | 144 |
The table shows the sex and age groups of 144 hospitalized patients with candidaemia due to Candida parapsilosis sensu stricto in Hospital H.
aOther wards include medical oncology, neurosurgery, and urinary surgery wards ICU, intensive care unit; VIP, very important person.
Microsatellite genotyping and phylogenetic analysis
Microsatellite genotyping was performed on 201 C. parapsilosis sensu stricto isolates, including 176 from peripheral venous blood cultures, and the 25 recovered from tip cultures of various vascular catheters of patients who also had positive blood cultures of the same yeast species. The bloodstream-based isolates included all the initial (first) blood culture isolates from each of the 144 patients (144 isolates; 81.8%) and an extra 32 (18.2%) isolates from 28 patients with persistent candidaemia (defined as repeated isolation of C. parapsilosis sensu stricto from blood cultures with a time interval of >7 days). The 28 patients (from the 144 patients) had at least one extra isolate apart from the initial blood culture isolate.
The 201 isolates were discriminated into 45 different genotypes, which were designated as genotypes T01 to T45. The genotypes of the 25 isolates from various vascular catheter tips were identical to those of peripheral venous blood cultures in each of the 25 patients, and were thus excluded from further phylogenetic analysis to avoid bias. The majority (24/32, 75.0%) of the extra isolates recovered from 22 patients with persistent candidaemia (two patients with three episodes of candidaemia) showed similar genotypes as the initial blood culture isolates. Thus to avoid bias, the genotype results of these 24 isolates were excluded from further phylogenetic analysis; only the first blood culture isolates of these 22 patients were included. The remaining eight C. parapsilosis sensu stricto isolates from six patients with persistent candidaemia (two patients had three episodes of candidaemia) exhibiting different genotypes to those of the initial blood culture isolates were included in the phylogenetic analysis. Therefore, 152 C. parapsilosis sensu stricto isolates (144 isolates from initial blood culture and eight isolates from six patients with persistent candidaemia) from 144 patients were included for phylogenetic analysis (Table 2 and Fig. 1.), with 80.9% (n = 130) of the isolates concentrated in three main wards (general surgery, general ICU, and VIP wards) (Fig. 3).
Table 2. Designations of the 45 genotypes.
Genotype | Designation of microsatellite markers | No. (%) of isolates | |||||||
---|---|---|---|---|---|---|---|---|---|
B5-a | B5-b | CP-1-a | CP-1-b | CP-4-a | CP-4-b | CP-6-a | CP-6-b | ||
T01 | 129 | 129 | 246 | 246 | 372 | 390 | 306 | 306 | 1 (0.7) |
T02 | 127 | 129 | 210 | 246 | 327 | 363 | 225 | 309 | 1 (0.7) |
T03 | 113 | 129 | 243 | 246 | 366 | 366 | 273 | 273 | 1 (0.7) |
T04 | 109 | 109 | 210 | 243 | 279 | 309 | 291 | 291 | 1 (0.7) |
T05 | 129 | 129 | 243 | 246 | 369 | 411 | 237 | 282 | 5 (3.3) |
T06 | 129 | 149 | 243 | 246 | 369 | 411 | 237 | 282 | 1 (0.7) |
T07 | 129 | 149 | 243 | 246 | 369 | 369 | 237 | 282 | 1 (0.7) |
T08 | 129 | 143 | 243 | 246 | 369 | 369 | 282 | 303 | 1 (0.7) |
T09 | 127 | 129 | 243 | 261 | 357 | 357 | 267 | 267 | 1 (0.7) |
T10 | 129 | 131 | 243 | 246 | 369 | 369 | 300 | 303 | 1 (0.7) |
T11 | 129 | 131 | 243 | 243 | 372 | 390 | 276 | 288 | 1 (0.7) |
T12 | 129 | 129 | 246 | 261 | 357 | 357 | 267 | 267 | 1 (0.7) |
T13 | 129 | 129 | 228 | 246 | 369 | 369 | 282 | 306 | 1 (0.7) |
T14 | 129 | 149 | 246 | 246 | 369 | 411 | 237 | 282 | 1 (0.7) |
T15 | 127 | 129 | 246 | 246 | 396 | 396 | 303 | 306 | 74 (48.7) |
T16 | 127 | 129 | 246 | 246 | 372 | 375 | 303 | 306 | 23 (15.1) |
T17 | 113 | 113 | 246 | 246 | 360 | 360 | 273 | 282 | 1 (0.7) |
T18 | 127 | 129 | 246 | 246 | 396 | 396 | 303 | 309 | 2 (1.3) |
T19 | 127 | 129 | 246 | 246 | 372 | 393 | 303 | 306 | 1 (0.7) |
T20 | 127 | 129 | 246 | 246 | 396 | 396 | 303 | 324 | 1 (0.7) |
T21 | 129 | 131 | 243 | 243 | 366 | 366 | 303 | 330 | 3 (2.0) |
T22 | 127 | 129 | 246 | 246 | 375 | 375 | 303 | 306 | 2 (1.3) |
T23 | 127 | 129 | 246 | 246 | 372 | 372 | 303 | 306 | 1 (0.7) |
T24 | 129 | 149 | 243 | 246 | 369 | 369 | 282 | 303 | 1 (0.7) |
T25 | 129 | 129 | 243 | 243 | 366 | 366 | 303 | 330 | 2 (1.3) |
T26 | 129 | 129 | 225 | 246 | 372 | 372 | 303 | 306 | 1 (0.7) |
T27 | 127 | 127 | 246 | 246 | 396 | 396 | 306 | 306 | 1 (0.7) |
T28 | 113 | 129 | 243 | 243 | 366 | 366 | 273 | 273 | 2 (1.3) |
T29 | 127 | 129 | 246 | 246 | 396 | 399 | 303 | 306 | 1 (0.7) |
T30 | 129 | 129 | 246 | 246 | 360 | 360 | 231 | 273 | 1 (0.7) |
T31 | 127 | 145 | 243 | 243 | 306 | 306 | 279 | 279 | 1 (0.7) |
T32 | 129 | 129 | 246 | 246 | 390 | 390 | 306 | 306 | 1 (0.7) |
T33 | 129 | 129 | 225 | 246 | 357 | 384 | 303 | 336 | 2 (1.3) |
T34 | 129 | 129 | 243 | 246 | 375 | 375 | 282 | 303 | 1 (0.7) |
T35 | 127 | 145 | 222 | 243 | 303 | 303 | 249 | 249 | 1 (0.7) |
T36 | 121 | 121 | 243 | 252 | 303 | 303 | 264 | 264 | 1 (0.7) |
T37 | 129 | 129 | 243 | 246 | 369 | 411 | 237 | 237 | 1 (0.7) |
T38 | 129 | 129 | 246 | 246 | 357 | 384 | 267 | 270 | 1 (0.7) |
T39 | 129 | 129 | 243 | 243 | 369 | 372 | 288 | 303 | 1 (0.7) |
T40 | 129 | 129 | 243 | 246 | 399 | 402 | 297 | 297 | 1 (0.7) |
T41 | 129 | 131 | 243 | 246 | 366 | 366 | 303 | 306 | 1 (0.7) |
T42 | 109 | 109 | 243 | 243 | 306 | 306 | 291 | 291 | 2 (1.3) |
T43 | 129 | 131 | 243 | 243 | 366 | 366 | 303 | 303 | 1 (0.7) |
T44 | 113 | 129 | 243 | 246 | 366 | 396 | 267 | 285 | 1 (0.7) |
T45 | 127 | 129 | 243 | 246 | 366 | 366 | 267 | 285 | 1 (0.7) |
The table shows the 45 genotypes (T01–T45) among 152 non-repetitive C. parapsilosis sensu stricto isolates generated by microsatellite genotyping.
Of the 45 genotypes identified, genotypes T15 (n = 74, 48.7%) and T16 (n = 23, 15.1%) were the most prevalent (63.8%), followed by genotype T05 (n = 5, 3.3%). A further seven genotypes, each composed of two to three isolates, were also detected, whereas the remaining 35 genotypes comprised one isolate each (Table 2).
Further analysis on the distribution of the predominant genotype (T15) revealed that it first appeared in October 2011, peaked (n = 5) in September 2012, and persisted until August 2013 in the general surgical ward (Fig. 3). In the general ICU ward, genotype T15 first appeared in June 2012, peaked (n = 5) in October 2013, and disappeared in November 2013 (Fig. 3). In the VIP ward, genotype T15 was first noted in August 2012 and persisted until June 2014. For the second most predominant genotype (T16), the highest number of isolates was observed in October 2012 (n = 4) in the general surgical ward and in July 2013 (n = 5) in the general ICU ward. In summary, genotype T15 strains persisted for 16 months in the general ICU, 24 months in the VIP ward, and 25 months in the general surgical ward. By contrast, genotype T16 strains persisted for 12 to 13 months in the general ICU, VIP ward, and general surgical ward. Other genotypes were distributed sporadically by year and ward in the five-year study period (Fig. 3). The two predominant genotypes also only displayed very little variation in the minimum spanning tree (Fig. 4).
Antifungal susceptibility testing
All of the C. parapsilosis sensu stricto isolates were susceptible to fluconazole and voriconazole.
A literature review on outbreaks caused by C. parapsilosis complex
There were 13 reports including the present one on clusters or outbreaks caused by the C. parapsilosis complex, and these are summarized in Table 313–18,22–27. The majority of these reports (6; 46.2%) described clusters or outbreaks in NICUs, followed by two in paediatric wards, and the remaining four in adult patients. Only five studies reported on the simultaneous characterization of isolates recovered from patients as well as the hands of healthcare workers (HCWs). The remaining eight studies retrospectively investigated the isolates derived from patients only. Microsatellite genotyping was applied in seven of the studies. The duration of the outbreaks ranged from two weeks to nine years, and the source of the outbreak could be identified in five studies, and it was mostly associated with colonized HCWs’ hands. C. parapsilosis sensu stricto was identified as the cause of the outbreak in eight studies by either sequencing analysis of the ITS region and/or the D1/D2 domain of the 26S rRNA gene, and unspecified C. parapsilosis complex isolates were reported in the remaining five studies.
Table 3. Literature review of outbreaks or clusters due to Candida parapsilosis complex.
No. | Year of report | Country | Ward or ICU | No. and sources of isolates (patients/HCWs/environment) | Duration | Identification of possible source of outbreak | C. parapsilosis | Genotyping method (s) | Author [reference] |
---|---|---|---|---|---|---|---|---|---|
1.* | 2010 | Mexico | NICU | 6/2/0 | NA | Yes (HCW’s hand) | sensu stricto | RAPD | Hernandez-Castro et al.13 |
2.* | 2011 | Portugal | NICU | 28/7/0 | NA | Yes (HCW’s hand) | sensu stricto | Microsatellite | Vaz et al.14 |
3. | 2012 | Brazil | NICU | 36/71/0 | 7 y | Yes (HCW’s hand) | sensu stricto | PFGE, RAPD | Miranda et al.15 |
4. | 2012 | Italy | NICU | 19/0/0 | 4 y | No | complex | Microsatellite, PFGE MALDI-TOF MS | Pulcrano et al.16 |
5. | 2012 | USA | NICU | 64/0/0 | 3.5–9 y | No | sensu stricto | Microsatellite | Reiss et al.17 |
6. | 2013 | Italy | NICU | 27/0/0 | 4 y | No | sensu stricto | Microsatellite | Romeo et al.18 |
7. | 2004 | Italy | Pediatric oncology unit | 27/3/1 | 4 m | Yes (HCW’s hand) | complex | Electrophoretic karyotyping | Barchiesi et al.22 |
8. | 2004 | Spain | Pediatric ICU | 9/0/0 | 2 y | No | complex | Electrophoretic karyotyping, RAPD | Garcia et al.23 |
9.* | 2004 | the United States | NA | 5/3/0 | 10 m | Yes (HCW’s hand) | complex | DNA fingerprinting | Kuhn et al.24 |
10. | 2008 | Turkey | Neurological ICU (adults) | 4/0/0 | 2 w | No | sensu stricto | RAPD | Dizbay et al.25 |
11. | 2009 | Sweden | Haematology ward | 4/0/0 | 1 m | No | complex | Microsatellite, RAPD | Brillowska-Dabrowska et al.26 |
12.* | 2012 | Austria | Cardiothoracic SICU | 99/0/0 | 2 y | No | sensu stricto | Microsatellite, automated repetitive sequence based PCR | Diab-Elschahawi et al.27 |
13 | 2010–2014 | China | General surgery ward, general ICU, VIP ward | 152/0/0 | 4 y | No | sensu stricto | Microsatellite | Wang et al. [present report] |
The table summarizes 13 outbreaks or clusters (including the present study) due to the presence of the C. parapsilosis complex in neonatal ICU (no. 1–6) and other hospital settings (no. 7–12) and that in the present report (no. 13).
HCW, healthcare worker; ICU, intensive care unit; MALDI-TOF MS, Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry; NA, not available; NICU, neonate ICU; PFGE, pulsed-field gel electrophoresis; RAPD, randomly amplified polymorphic DNA; SICU, surgical ICU; VIP, very important person.
*Indicates a prospective study, otherwise a retrospective study.
Discussion
Among the Candida species causing healthcare-associated outbreaks, the C. parapsilosis complex is of remarkable importance due to its propensity to easily colonize human skin (e.g., the hands of HCWs), adhere to medical devices, and contaminate hospital environments. These characteristics facilitate the easy spread of the organism in hospital environments, resulting in healthcare-associated outbreaks10. Therefore, rapid identification of C. parapsilosis complex isolates to the species level and timely investigation on the clonality of isolates can contribute to effective prevention and control of outbreaks and infections caused by this organism13,14,15,16,17,18,22,23,24,25,26,27. However, C. parapsilosis complex strains are less virulent than C. albicans, C. tropicalis and C. glabrata, and they are responsible for relatively lower mortality levels among patients with candidaemia28. Consequently, infection control practitioners tend to pay less attention and vigilance to potential C. parapsilosis complex outbreaks. This lack of attention is in contrast to what normally occurs with potential outbreaks of MDR bacteria or more virulent Candida species in many hospitals in China, where there is greater awareness and vigilance of these well-recognized infectious agents2,4,5,28.
This microbiological investigation of C. parapsilosis complex isolates from a single hospital (Hospital H) from 2010 to 2014 revealed several important points. First, the lack of early warning systems from laboratory staff and infection control practitioners for the increasing number of C. parapsilosis complex isolates (the occurrence of more cases of disease than expected) in early 2012 clearly contributed to the wide and long-term dissemination of candidaemia due to C. parapsilosis sensu stricto in the hospital. This finding highlights the need to initiate and strengthen epidemiological data collection systems for monitoring the spread of organisms between the laboratory and infection control systems in hospitals in China. This situation was not only observed in one hospital (Hospital H), but it appears to also have occurred at another hospital (Hospital I), where the proportion of C. parapsilosis sensu stricto isolates rose from 11.8% in 2013 to 50.8% in 2014 (Fig. 1). Unfortunately, the way the CHIF-NET programme is structured hindered the timely communication of vital information from the central laboratory to the laboratory staff and infection control practitioners at Hospital H about the potential C. parapsilosis sensu stricto outbreak. Specifically, the CHIF-NET yearly programme runs from September of one year to the end of August the following year, with all the collected isolates in the preceding year submitted to the central laboratory once in early September. This means that in 2013, the CHIF-NET central laboratory only noted the increased proportion of C. parapsilosis complex isolates from Hospital H some time later in September, which was one year later.
Second, this study shows that an outbreak of candidaemia due to C. parapsilosis sensu stricto most likely occurred at Hospital H. This conclusion is supported by the fact that, with the exception of five isolates (C. metapsilosis), all of the C. parapsilosis complex isolates collected over the 5-year study period were confirmed as C. parapsilosis sensu stricto by ITS sequencing. Furthermore, using microsatellite typing, two main strains (genotypes T15 and T16) that accounted for more than 60% of all C. parapsilosis sensu stricto isolates, were concentrated in three different wards in Hospital H. Microsatellite genotyping has emerged as the most commonly used and versatile method for typing pathogenic fungi, especially for C. parapsilosis complex isolates, which, given the clonal nature of this organism, cannot be typed by multilocus sequencing analysis, restriction fragment length polymorphism, karyotyping, and/or random amplified polymorphic DNA analysis17. The fact that genotype T15 and T16 strains could persist for 16–25 months and 12–13 months, respectively, mainly in three wards (general surgical ward, general ICU, and VIP ward) of the hospital suggests that two main clones of C. parapsilosis sensu stricto were responsible for the unrecognized outbreak in Hospital H.
Third, in contrast to previous outbreaks of the C. parapsilosis complex mostly confined to NICUs, the majority of the patients in the present study were adults, including elderly people, and they were confined to three wards, namely the surgical, general ICU, and VIP wards13,14,15,16,17,18. Finally, to the best of our knowledge, this is the first study to report on a candidaemia outbreak (and with the largest number of isolates) due to C. parapsilosis sensu stricto in China.
In the present study, isolates from 25 patients with simultaneous positive cultures of C. parapsilosis sensu stricto from peripheral blood samples and tip cultures of various vascular catheters exhibited the same genotypes, indicating that catheters may serve as an important transmission source for this organism. Indeed, several studies have demonstrated that indirect transmission of the C. parapsilosis complex via the hands of HCWs is responsible for outbreaks of catheter-related C. parapsilosis infections in NICUs10,13,28,29. However, a study by Delfino et al. reported that genotypes of C. parapsilosis strains from the hands of HCWs exhibited considerable heterogeneity and showed higher genetic diversity than those from patients with candidaemia30. Other possible sources of infection amongst patients may also be related to the well-known risk factors in a hospital environment, including contaminated medical devices and environmental surfacs10,13,28,29. Nevertheless, this assumption remains purely speculative as no cultures of the hands of HCWs or the hospital environment were performed as part of this retrospective investigation.
This study has three main limitations. First, the clinical characteristics, risk factors, and outcomes of patients with C. parapsilosis sensu stricto candidaemia and those associated with the outbreak were not evaluated, as this study was performed retrospectively. Second, although the number of C. parapsilosis sensu stricto isolates collected from Hospital H declined in 2014, the precise time the outbreak declined remains unknown and warrants further investigation. Third, only bloodstream-derived C. parapsilosis sensu stricto isolates were genotyped in this study. It is possible that strains of dominant genotypes might also be found in various clinical specimens of patients without candidaemia in Hospital H. Thus, further work is needed to investigate the clinical and microbiological consequences of the event at Hospital H, including the possible emergence of a similar outbreak in other hospitals (e.g., Hospital I).
A lack of awareness of healthcare-associated infections and outbreaks, particularly those of fungal origin, among laboratory staff and infection control practitioners is common in major hospitals in China. Thus, continued public health efforts aimed at education, training, defining, characterizing, and tracking the emergence of fungal infections and possible outbreaks is needed to help focus studies on priority infections and settings.
In conclusion, the lack of timely alertness from laboratory staff and infection control practitioners to the increasing number of C. parapsilosis complex isolates clearly contributed to the failure to recognize a C. parapsilosis complex outbreak, resulting in wide and long-term dissemination of C. parapsilosis sensu stricto candidaemia in the studied hospital. Consequently, an opportunity to investigate the source of the outbreak and implement associated infection control measures was lost. This study offers a lesson and warning to the overall healthcare system in China regarding the need to strengthen the collaboration between the clinical microbiology laboratory and infection control systems as part of the public health control of diseases, and it further raises the challenge to revisit the current infection control strategies for the early recognition and management of outbreaks, not only for well-known MDR bacteria but also for Candida species and other fungi.
Methods
Background, setting and isolates
Hospital H is a 2,000-bed tertiary-care teaching hospital in northern China, which has participated in the CHIF-NET programme since 2010. As part of the CHIF-NET program, all consecutive yeast isolates from patients with invasive infections, including from blood and other sterile body fluids (ascites, peritoneal dialysate fluid, and surgical drainage/pus) and tissues at Hospital H (2010–2014), were sent to the reference hospital laboratory and were included in this study20. Also included were yeast isolates from broncheoalveolar lavage fluid, central venous catheter tips, and the gastrointestinal tract (e.g., aseptically collected bile). Yeast isolates from urine, genital tract, and others that were considered colonizers were excluded. Isolates of the same yeast species from the same site of a given patient that were recovered at different times were considered duplicates and were excluded. However, yeast isolates from persistent fungaemia cases (defined as repeated isolation of same yeast species from blood cultures with a time interval of >7 days) were included20.
By the end of August 2014, 443 yeast isolates had been submitted by this hospital to the CHIF-NET reference laboratory at Peking Union Medical College Hospital (PUMCH). The yeast isolates were identified at Hospital H by Vitek 2 yeast identification card (Vitek 2 Compact YST card, bioMérieux Marcy l’Etoile, France). The isolates were identified to the species level by analysing the fungal ITS region and the D1/D2 domain of the 26S rRNA gene at the reference laboratory31,32. This study was approved by the Human Research Ethics Committee of PUMCH (No. S-263). No written informed consents were obtained from patients as the study did not include patient details, images or videos. All procedures and methods were carried out in accordance with approved guidelines.
Identification of the isolates at the central laboratory
The identity of the 443 yeast isolates was confirmed by amplification of the fungal ITS region and the D1/D2 domain of the 26S rRNA gene, as previously described using primer pairs ITS1/ITS4 and F63/R635, respectively31,32. Briefly, all of the isolates were inoculated onto Brilliance Candida agar (Oxoid Ltd.) and then subcultured on Sabouraud dextrose agar (Thermo Fisher Scientific, MA, USA). Culture media were incubated for 24–48 h at 35 °C. A pure colony of the organism was picked using a 1 μl loop and mixed with 50 μl of glass beads and 400 μl of distilled water in an Eppendorf tube. After vortexing for 1.5 min, the tube was placed in boiling water (100 °C) for 15 min. Then, the tube was placed at −20 °C for 10 min, followed by centrifugation at 12,000 rpm for 5 min. The pellet was used for sequencing analysis.
For ITS sequencing, primers ITS1 (5′-TCCGTAGGTGAACCTGCGG-3′) and ITS4 (5′-TCC TCCGCTTATTGATATGC-3′) were used31. As previously described, primers F63 (5′-GCATATCAATAAGCGGAGGAAAAG-3′) and R635 (5′-GGTCCGTGTTTCAAGACG-3′) were used for D1/D2 region sequencing32. Amplification reactions for the ITS and D1/D2 region were performed as previously reported20,21. In brief, ITS region amplification was carried out under the following conditions: denaturation at 94 °C for 10 min, followed by 30 cycles of denaturation at 94 °C for 30 s, annealing at 50 °C for 30 s, and elongation at 72 °C for 60 s, with a final extension step of 10 min at 72 °C. Amplification conditions for the D1/D2 region included an initial denaturation of 4 min at 94 °C, followed by 18 cycles of 94 °C for 30 s, annealing at 62 °C for 45 s, and elongation at 72 °C for 60 s, with a final extension at 72 °C of 4 min. The obtained sequences were then compared with those available in GenBank using the BLAST program (http://blast.ncbi.nlm.nih.gov/Blast.cgi). The strategy for accurate ITS sequence-based identification of human and animal pathogenic fungi, recommended by the ISHAM (http://its.mycologylab.org/), was followed33. The results were considered acceptable if the homology with other entries in the databases used for comparison was >99.5%33.
Antifungal susceptibility testing
Antifungal susceptibility to fluconazole (25 μg disc) and voriconazole (1 μg disc) (Beckon Dickinson, Sparks, MD, USA) was determined for all isolates using the CLSI M44-A2 disc diffusion method and the results were interpreted according to CLSI standards34,35. For each run, the quality control strains were C. parapsilosis ATCC 22019 and C. krusei ATCC 6258.
Microsatellite typing
Yeast isolates were genotyped using four highly polymorphic microsatellite markers described by Sabino et al., namely B5, CP1, CP4 and CP636. The forward primers were labelled with either 6-carboxyfluores-cein or hexachlorofluorescein. Amplification reactions were performed as previously reported18. Following PCR, amplicons were sized by capillary electrophoresis on an ABI 3730XL DNA Analyzer (Applied Biosystems, Foster City, CA, USA) coupled with GeneMarker v1.8 software (SoftGenetics LLC, State College, PA, USA). Allele sizes were scored with respect to GeneScan™ 500 LIZ® Size Standard (Applied Biosystems) in the 35–500 nt range.
Phylogenetic relationship analysis
The relationship between genotypes was visualized by constructing a minimum spanning tree using the online tool Tree Drawing (http://www.pubmlst.org), treating the data as categorical information.
Statistical analysis
Annual proportions of isolation of the C. parapsilosis complex or C. parapsilosis sensu stricto among all yeast isolates over time in Hospital H were evaluated with the Cochran-Armitage test for trend. A P value < 0.05 was considered to be significant.
Literature review of the clusters or outbreaks caused by C. parapsilosis complex
We searched the PubMed database (http://www.ncbi.nlm.nih.gov/pubmed/) and the US Centers for Disease Control and Prevention website (http://wwwnc.cdc.gov/eid/) with key words of “Candida parapsilosis” combined with “outbreak” or “clustering”, and we limited the search to studies conducted from January 2000 to December 2014. The results are summarized in Table 313–18,22–27.
Additional Information
How to cite this article: Wang, H. et al. Investigation of an unrecognized large-scale outbreak of Candida parapsilosis sensu stricto fungaemia in a tertiary-care hospital in China. Sci. Rep. 6, 27099; doi: 10.1038/srep27099 (2016).
Acknowledgments
This study was funded by the National Nature Science Foundation of China (Grant number 81572057).
Footnotes
Author Contributions H.W., L.Z. and Y.-C.X. designed and performed the research; T.K., F.K., M.X. and X.F. developed statistical tools and algorithms; X.-J.M., Y.-Z.C., M.K., Z.-Y.S., R.-Y.L., K.L., J.L. and G.-L.Z. provided bacteria and analysed the data; H.W. and L.Z. wrote the paper. All authors read, improved and reviewed the manuscript.
References
- Song J. H. et al. Spread of methicillin-resistant Staphylococcus aureus between the community and the hospitals in Asian countries: an ANSORP study. J. Antimicrob. Chemother. 66, 1061–1069 (2011). [DOI] [PubMed] [Google Scholar]
- Xiao M. et al. National surveillance of methicillin-resistant Staphylococcus aureus in China highlights a still-evolving epidemiology with 15 novel emerging multilocus sequence types. J. Clin. Microbiol. 51, 3638–3644 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gupta N., Limbago B. M., Patel J. B. & Kallen A. J. Carbapenem-resistant Enterobacteriaceae: epidemiology and prevention. Clin. Infect. Dis. 53, 60–67 (2011). [DOI] [PubMed] [Google Scholar]
- Qin S. et al. High incidence and endemic spread of NDM-1-positive Enterobacteriaceae in Henan Province, China. Antimicrob. Agents. Chemother. 58, 4275–4282 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhou H., Yang Q., Yu Y. S., Wei Z. Q. & Li L. J. Clonal spread of imipenem-resistant Acinetobacter baumannii among different cities of China. J. Clin. Microbiol. 45, 4054–4057 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fu Y. et al. Wide dissemination of OXA-23-producing carbapenem-resistant Acinetobacter baumannii clonal complex 22 in multiple cities of China. J. Antimicrob. Chemother. 65, 644–650 (2010). [DOI] [PubMed] [Google Scholar]
- Vazquez J. A. et al. Nosocomial acquisition of Candida albicans: an epidemiologic study. J. Infect. Dis. 16819, 5–201 (1993). [DOI] [PubMed] [Google Scholar]
- Gudlaugsson O. et al. 2003. Attributable mortality of nosocomial candidaemia, revisited. Clin. Infect. Dis. 37, 1172–1177 (2003). [DOI] [PubMed] [Google Scholar]
- Horn D. L. et al. Epidemiology and outcomes of candidaemia in 2019 patients: data from the prospective antifungal therapy alliance registry. Clin. Infect. Dis. 48, 1695–1703 (2009). [DOI] [PubMed] [Google Scholar]
- Silva S. et al. Candida glabrata, Candida parapsilosis and Candida tropicalis: biology, epidemiology, pathogenicity and antifungal resistance. FEMS. Microbiol. Rev. 36, 288–305 (2012). [DOI] [PubMed] [Google Scholar]
- Trofa D., Gacser A. & Nosanchuk J. D. Candida parapsilosis, an emerging fungal pathogen. Clin. Microbiol. Rev. 21, 606–625 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- van Asbeck E. C., Clemons K. V. & Stevens D. A. Candida parapsilosis: a review of its epidemiology, pathogenesis, clinical aspects, typing and antimicrobial susceptibility. Crit. Rev. Microbiol. 35, 283–309 (2009). [DOI] [PubMed] [Google Scholar]
- Hernandez-Castro R. et al. 2010. Outbreak of Candida parapsilosis in a neonatal intensive care unit: a health care workers source. Eur. J. Pediatr. 169, 783–787 (2010). [DOI] [PubMed] [Google Scholar]
- Vaz C. et al. Microsatellite multilocus genotyping clarifies the relationship of Candida parapsilosis strains involved in a neonatal intensive care unit outbreak. Diagn. Microbiol. Infect. Dis. 71, 159–162 (2011). [DOI] [PubMed] [Google Scholar]
- Miranda L. D. N. et al. Candida parapsilosis in a neonatal unit over 7 years: a case series study. BMJ Open. 2, e000992–e000992 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pulcrano G., Roscetto E., Iula V. D., Panellis Rossano D. F. & Catania, M. R. MALDI-TOF mass spectrometry and microsatellite markers to evaluate Candida parapsilosis transmission in neonatal intensive care units. Eur. J. Clin. Microbiol. & Infect. Dis. 31, 2919–2928 (2012). [DOI] [PubMed] [Google Scholar]
- Reiss E. et al. Genotyping of Candida parapsilosis from three neonatal intensive care units (NICUs) using a panel of five multilocus microsatellite markers: Broad genetic diversity and a cluster of related strains in one NICU. Infect. Genet. Evol. 12, 1654–1660 (2012). [DOI] [PubMed] [Google Scholar]
- Romeo O. et al. Microsatellite-based genotyping of Candida parapsilosis sensu stricto isolates reveals dominance and persistence of a particular epidemiological clone among neonatal intensive care unit patients. Infect. Genet. Evol. 13, 105–108 (2013). [DOI] [PubMed] [Google Scholar]
- Ge Y. P. et al. Characterization of the Candida parapsilosis complex in East China: species distribution differs among cities. Med. Mycol. 50, 56–66 (2012). [DOI] [PubMed] [Google Scholar]
- Wang H. et al. In vitro susceptibilities of yeast species to fluconazole and voriconazole as determined by the 2010 National China Hospital Invasive Fungal Surveillance Net (CHIF-NET) study. J. Clin. Microbiol. 50, 3952–3959 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xiao M. et al. Three clustered cases of candidaemia caused by Candida quercitrusa and mycological characteristics of this novel species. J. Clin. Microbiol. 52, 3044–3048 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barchiesi F. et al. Outbreak of fungemia due to Candida parapsilosis in a pediatric oncology unit. Diagn. Microbiol. Infect. Dis. 49, 269–271 (2004). [DOI] [PubMed] [Google Scholar]
- Garcia S. M. L. et al. Morphotypic and genotypic characterization of sequential Candida parapsilosis isolates from an outbreak in a pediatric intensive care unit. Diagn. Microbiol. Infect. Dis. 49, 189–196 (2004). [DOI] [PubMed] [Google Scholar]
- Kuhn D. M. et al. Candida parapsilosis characterization in an outbreak setting. Emerg. Infect. Dis. 10, 1074–1081 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dizbay M. et al. Molecular investigation of a fungemia outbreak due to Candida parapsilosis in an intensive care unit. Braz. J. Infect. Dis. 12, 395–399 (2008). [DOI] [PubMed] [Google Scholar]
- Brillowska-Dabrowska A. et al. A nosocomial outbreak of Candida parapsilosis in southern Sweden verified by genotyping. Scand. J. Infect. Dis. 41, 135–142 (2009). [DOI] [PubMed] [Google Scholar]
- Diab-Elschahawi M. et al. Microsatellite genotyping clarified conspicuous accumulation of Candida parapsilosis at a cardiothoracic surgery intensive care unit. J. Clin. Microbiol. 50, 3422–3426 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kullberg B. J. & Arendrup M. C. Invasive candidiasis. N. Engl. J. Med. 373, 1445–1456 (2015). [DOI] [PubMed] [Google Scholar]
- Guinea J. Global trends in the distribution of Candida species causing candidaemia. Clin. Microbiol. Infect. 20 (Suppl 6), 5–10 (2014). [DOI] [PubMed] [Google Scholar]
- Delfino D. et al. Potential association of specific Candida parapsilosis genotypes, bloodstream infections and colonization of health workers’ hands. Clin. Microbiol. Infect. 20, 946–951 (2014). [DOI] [PubMed] [Google Scholar]
- White T. J., Bruns T., Lee S. & Taylor J. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In PCR protocols: a guide to methods and applications. (eds Innis M. A. et al.), 315–322 (Academic Press 1990). [Google Scholar]
- Fell J. W., Boekhout T., Fonseca A., Scorzetti G. & Statzell-Tallman A. Biodiversity and systematics of basidiomycetous yeasts as determined by large-subunit rDNA D1/D2 domain sequence analysis. Int. J. Syst. Evol. Microbiol. 50 (Pt 3), 1351–1371 (2000). [DOI] [PubMed] [Google Scholar]
- Irinyi L. et al. International Society of Human and Animal Mycology (ISHAM)-ITS reference DNA barcoding database-the quality controlled standard tool for routine identification of human and animal pathogenic fungi. Med. Mycol. 53, 313–317 (2015). [DOI] [PubMed] [Google Scholar]
- Clinical and Laboratory Standard Institute. Method for antifungal disk diffusion susceptibility testing of yeasts; approved guideline-2nd edition. CLSI document M44-A2. Clinical and Laboratory Standards Institute, Wayne, PA (2009).
- Clinical and Laboratory Standard Institute. Zone diameter interpretive standards, corresponding minimal inhibitory concentration (MIC) interpretive breakpoints, and quality control limits for antifungal disk diffusion susceptibility testing of yeasts; 3rd informational supplement. CLSI document M44-S3. Clinical and Laboratory Standards Institute, Wayne, PA (2009).
- Sabino R. et al. New polymorphic microsatellite markers able to distinguish among Candida parapsilosis sensu stricto isolates. J. Clin. Microbiol. 48, 1677–1682 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]