Population-Based Active Surveillance for Culture-Confirmed Candidemia — Four Sites, United States, 2012–2016
Surveillance Summaries / September 27, 2019 / 68(8);1–15
Please note: An erratum has been published for this report. To view the erratum, please click here.
Mitsuru Toda, PhD1,2; Sabrina R. Williams, MPH2; Elizabeth L. Berkow, PhD2; Monica M. Farley, MD3; Lee H. Harrison, MD4; Lindsay Bonner, MS4; Kaytlynn M. Marceaux4; Rosemary Hollick, MS4; Alexia Y. Zhang, MPH5; William Schaffner, MD6; Shawn R. Lockhart, PhD2; Brendan R. Jackson, MD2; Snigdha Vallabhaneni, MD2 (View author affiliations)View suggested citation
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Problem/Condition: Candidemia is a bloodstream infection (BSI) caused by yeasts in the genus Candida. Candidemia is one of the most common health care–associated BSIs in the United States, with all-cause in-hospital mortality of up to 30%.
Period Covered: 2012–2016.
Description of System: CDC’s Emerging Infections Program (EIP), a collaboration among CDC, state health departments, and academic partners that was established in 1995, was used to conduct active, population-based laboratory surveillance for candidemia in 22 counties in four states (Georgia, Maryland, Oregon, and Tennessee) with a combined population of approximately 8 million persons. Laboratories serving the catchment areas were recruited to report candidemia cases to the local EIP program staff. A case was defined as a blood culture that was positive for a Candida species collected from a surveillance area resident during 2012–2016. Isolates were sent to CDC for species confirmation and antifungal susceptibility testing. Any subsequent blood cultures with Candida within 30 days of the initial positive culture in the same patient were considered part of the same case. Trained surveillance officers collected clinical information from the medical chart for all cases, and isolates were sent to CDC for species confirmation and antifungal susceptibility testing.
Results: Across all sites and surveillance years (2012–2016), 3,492 cases of candidemia were identified. The crude candidemia incidence averaged across sites and years during 2012–2016 was 8.7 per 100,000 population; important differences in incidence were found by site, age group, sex, and race. The crude annual incidence was the highest in Maryland (14.1 per 100,000 population) and lowest in Oregon (4.0 per 100,000 population). The crude annual incidence of candidemia was highest among adults aged ≥65 years (25.5 per 100,000 population) followed by infants aged <1 year (15.8). The crude annual incidence was higher among males (9.4) than among females (8.0) and was approximately 2 times greater among blacks than among nonblacks (13.7 versus 5.8). Ninety-six percent of cases occurred in patients who were hospitalized at the time of or during the week after having a positive culture. One third of cases occurred in patients who had undergone a surgical procedure in the 90 days before the candidemia diagnosis, 77% occurred in patients who had received systemic antibiotics in the 14 days before the diagnosis, and 73% occurred in patients who had had a central venous catheter (CVC) in place within 2 days before the diagnosis. Ten percent were in patients who had used injection drugs in the past 12 months. The median time from admission to candidemia diagnosis was 5 days (interquartile range [IQR]: 0–16 days). Among 2,662 cases that were treated in adults aged >18 years, 34% were treated with fluconazole alone, 30% with echinocandins alone, and 34% with both. The all-cause, in-hospital case-fatality ratio was 25% for any time after admission; the all-cause in-hospital case-fatality ratio was 8% for <48 hours after a positive culture for Candida species. Candida albicans accounted for 39% of cases, followed by Candida glabrata (28%) and Candida parapsilosis (15%). Overall, 7% of isolates were resistant to fluconazole and 1.6% were resistant to echinocandins, with no clear trends in resistance over the 5-year surveillance period.
Interpretation: Approximately nine out of 100,000 persons developed culture-positive candidemia annually in four U.S. sites. The youngest and oldest persons, men, and blacks had the highest incidences of candidemia. Patients with candidemia identified in the surveillance program had many of the typical risk factors for candidemia, including recent surgery, exposure to broad-spectrum antibiotics, and presence of a CVC. However, an unexpectedly high proportion of candidemia cases (10%) occurred in patients with a history of injection drug use (IDU), suggesting that IDU has become a common risk factor for candidemia. Deaths associated with candidemia remain high, with one in four cases resulting in death during hospitalization.
Public Health Action: Active surveillance for candidemia yielded important information about the disease incidence and death rate and persons at greatest risk. The surveillance was expanded to nine sites in 2017, which will improve understanding of the geographic variability in candidemia incidence and associated clinical and demographic features. This surveillance will help monitor incidence trends, track emergence of resistance and species distribution, monitor changes in underlying conditions and predisposing factors, assess trends in antifungal treatment and outcomes, and be helpful for those developing prevention efforts. IDU has emerged as an important risk factor for candidemia, and interventions to prevent invasive fungal infections in this population are needed. Surveillance data documenting that approximately two thirds of candidemia cases were caused by species other than C. albicans, which are generally associated with greater antifungal resistance than C. albicans, and the presence of substantial fluconazole resistance supports 2016 clinical guidelines recommending a switch from fluconazole to echinocandins as the initial treatment for candidemia in most patients.
Invasive candidiasis, caused by the yeast Candida, is one of the most common opportunistic fungal infections worldwide (1,2). Invasive candidiasis includes, among other manifestations, intra-abdominal infections, osteomyelitis, and bloodstream infections (candidemia), with candidemia being the most common type of invasive candidiasis. In the United States and elsewhere, Candida species are a leading cause of health care–associated bloodstream infections (3–5). Candidemia is associated with prolonged hospitalizations, high health care costs, substantial morbidity, and all-cause in-hospital mortality of up to 30% (6).
Candida is a common commensal organism of the gastrointestinal tract and can live on skin (7). Disruption of the normal barriers provided by the gastrointestinal tract or skin can lead to invasive infections (i.e., autoinfection). Overgrowth and translocation into the bloodstream can occur under the stressful physiologic conditions that generally occur during long-term hospitalizations and intensive care unit (ICU) stays. Recent abdominal surgery and other medical interventions, disruption of the microbiome from antibiotics, receipt of total parental nutrition (TPN), diabetes, malignancies, neutropenia, use of immunosuppressive therapies, and presence of indwelling catheters such as central venous catheters (CVCs) and other devices (8–10) are all risk factors for candidemia. Premature newborns with indwelling catheters also are at increased risk for candidemia (11–13). In addition to autoinfection, infections with certain species of Candida, particularly Candida auris and Candida parapsilosis, can result from transmission between patients in health care settings (14).
Underlying conditions that contribute to candidemia have changed over time as guidelines and practices for prophylactic antifungal therapy and CVC care have changed. For example, antifungal prophylaxis is now routinely used for extremely premature newborns in some neonatal units and for patients with certain types of hematologic malignancies, dramatically reducing rates of candidemia in these populations (15,16).
A few hundred species of Candida exist, a small proportion of which causes nearly all invasive infections in humans. Candida albicans is the most common species that causes candidiasis in the United States (1); however, the proportion of infections caused by species other than C. albicans, such as Candida glabrata and C. parapsilosis, has grown in the last few decades (17). These species exhibit higher levels of resistance to antifungal medications and might be associated with higher mortality than C. albicans (18). Recent reports indicate an increase in multidrug-resistant C. glabrata isolates in the United States (19,20). Equally concerning are newly emerging species of Candida, such as C. auris, which was first described in 2009 (21) and has since been reported in approximately 30 countries, including the United States (22). C. auris is resistant to multiple drugs and has caused large health care–associated outbreaks, spreading readily within certain health care facilities and creating a worldwide public health threat (14).
The incidence of candidemia in the United States has been measured periodically in different regions and populations. Incidence increased fivefold during 1980–1990, according to surveillance conducted as part of the National Nosocomial Infections Surveillance (NNIS) system (23,24). The incidence of candidemia started to decrease in the mid-1990s through the mid-2000s among low birthweight newborns, in part because of recommendations for fluconazole prophylaxis in certain settings (25–27). In population-based surveillance performed in the metropolitan areas of Atlanta, Georgia, and Baltimore, Maryland, candidemia incidence (primarily among adults) increased 10%–40% from the early 1990s and the late 2000s, which was followed by more recent reports of decreases in these areas (6,28–30).
Because of these changes, monitoring candidemia incidence in various populations, characterizing the distribution of species causing candidemia, estimating the prevalence of antifungal drug resistance, and determining whether risk factors, treatment, and outcomes for candidemia have changed over time are important. However, candidemia is not required to be reported in most states and is not a nationally notifiable disease, with the exception of C. auris infections (31), which are a small percentage of candidemia cases in the United States. Candidemia surveillance conducted through CDC’s Emerging Infections Program (EIP), a collaboration among CDC, state health departments, and academic partners that was initiated in 1995, is the only source of population-based information on candidemia in the United States (32). EIP surveillance for candidemia started in two sites (in Georgia and Maryland) in 2008 and expanded to two more sites (in Oregon and Tennessee) in 2011. This report includes 2012–2016 data from all four sites. The findings can be used by health care providers, infection control practitioners, stakeholders in the health care industry, and public health officials at federal, state, and local levels to promote awareness of candidemia incidence, risk factors, and outcome and to inform prevention measures.
During 2012–2016, CDC’s EIP (32) conducted active population-based surveillance for culture-confirmed candidemia in four sites: Georgia (eight counties in the metropolitan Atlanta area, with a 2014 population of 3.93 million), Maryland (city of Baltimore and Baltimore County, with a 2014 population of 1.45 million), Oregon (Portland tricounty area, with a 2014 population of 1.73 million), and Tennessee (nine counties surrounding Knoxville in East Tennessee, with a 2014 population of 943,000). The combined population under surveillance was approximately 8.06 million persons, representing approximately 2.5% of the U.S. population in 2014.
Surveillance Case Definition
A case of candidemia was defined as a blood culture positive for a Candida species collected from a resident of the surveillance area during 2012–2016. An episode was defined as the 30-day period after the initial culture was positive. A new culture that was positive after the 30-day period was counted as a different case in the same patient. Any blood cultures positive for a Candida species within 30 days of the initial positive culture from the same patient were considered part of the same case, or episode, including different Candida species identified within the 30-day period or multiple Candida species found on the date of initial positive culture. The date of candidemia refers to the date the initial blood culture that yielded Candida was collected. Unless specified, data are presented at the case level because each of the measured exposure variables (e.g., time from hospital admission to culture) can change from case to case in the same person. However, demographic data are at the patient level because characteristics such as sex and race do not change from case to case in the same person.
Clinical, reference, and commercial laboratories that serve the population in the surveillance catchment areas were recruited to participate in the surveillance program and report cases of candidemia to the local surveillance officer. Once notified of a positive Candida blood culture, surveillance officers from each site used the surveillance case definition to determine case status and completed a standardized case report form to gather demographic and clinical data from the medical record. Surveillance officers received detailed instructions on completing the abstraction form and training in chart abstraction. In addition, surveillance officers performed periodic audits of laboratory microbiology records to ensure completeness of reporting. The corresponding Candida species isolates were sent to CDC for species confirmation and antifungal susceptibility testing. Deidentified data were sent to CDC.
The chart review and case report forms used to collect data are available (2010–2013 long chart review form, https://stacks.cdc.gov/view/cdc/80195; 2010–2013 short chart review form, https://stacks.cdc.gov/view/cdc/80196; 2014 case report form, https://stacks.cdc.gov/view/cdc/80193; and 2016 case report form, https://stacks.cdc.gov/view/cdc/80194). The forms include information on demographic data, including age at time of positive culture, sex, and race. Adults were defined as patients aged >18 years. Other variables collected from medical chart review included underlying medical conditions and medical comorbidities; dates of hospital admission and discharge; receipt of antibiotics and antifungal medications; TPN in the 14 days before candidemia diagnosis; presence of a CVC within 2 days before diagnosis; treatment received for candidemia; and patient outcome (i.e., hospital discharge or death).
A candidemia case was defined as a health care–onset case when the initial positive Candida culture was obtained ≥3 days after admission; as a health care–associated community-onset case when the culture was obtained <3 days after admission for a patient with a recent health care exposure; or as a community-onset case when the culture was obtained <3 days after admission for a patient without a recent health care exposure. Recent health care exposure was defined as one or more of the following: residence in a nursing home, hospitalization in the 90 days before date of candidemia, or receipt of hemodialysis.
At CDC’s fungal reference laboratory, Candida species identification from isolates obtained from blood during 2012–2014 was performed using a Luminex assay or DNA sequencing of the D1/D2 subunit of the 28S ribosomal DNA (rDNA) (33). During 2015–2016, matrix-assisted laser desorption/ionization time of flight (MALDI-TOF) (34) was used for species identification. Antifungal susceptibility testing was performed at CDC with custom prepared microdilution plates (Trek Diagnostics) for fluconazole, voriconazole, anidulafungin, caspofungin, and micafungin according to the Clinical and Laboratory Standards Institute (CLSI) M27-A3 document guidelines (35). Growth was observed after 24 hours, and the minimum inhibitory concentration was determined by the lowest concentration of drug in which growth was decreased by approximately 50% compared with the control well. Isolates were categorized as resistant to each drug using the 2012 CLSI M27-S4 species-specific breakpoints (36). Amphotericin B susceptibility was tested using Etest strips (bioMérieux) according to the manufacturer’s instructions.
Crude candidemia incidence rates per 100,000 population are presented for each site by year. Percentages and age-, sex-, and race-specific incidence rates are presented for demographic characteristics of patients with candidemia during 2012–2016. Denominators used to calculate incidence rates for each surveillance site or demographic characteristic were obtained from the U.S. Census Bureau population and housing unit estimates for the corresponding years (37). A multivariable negative binomial regression model was used to assess adjusted incidence rate ratios across demographic factors (age, sex, and race) and surveillance sites (state). Chi-square tests were performed to assess the difference in proportions across two groups, and univariable negative binomial regression models were used to assess trends in the candidemia incidence rate over the 5-year surveillance period. Interaction terms between the variables in the model were examined. The tests were conducted at significance level of α = 0.05. SAS was used to perform the statistical analyses (version 9.4; SAS Institute).
CDC conducted ethical review of this surveillance activity and classified it as a nonresearch public health activity. This activity also was evaluated individually at each participating surveillance site and determined to be nonresearch in Georgia and Oregon and exempt research in Maryland. In Tennessee, the site received expedited approval from a local hospital review board, and other hospitals determined the surveillance activity to be nonresearch.
Demographic Characteristics and Incidence
During 2012–2016, a total of 3,492 candidemia cases were identified from 3,235 patients. The median age of patients with candidemia was 59 years (interquartile range [IQR]: 45–71 years). Thirty-eight percent of patients were aged 45–64 years, and 37% were aged ≥65 years; infants aged <1 year represented 2% of cases (Table 1). Fifty-two percent were male, 45% were black, and 49% were nonblack (includes white patients, Asian patients [2%], and American Indian/Alaska Native patients [<0.05%]); race was unknown for 7%. A higher proportion of patients in Georgia and Maryland were black (56% and 59%, respectively) compared with Oregon (7%) and Tennessee (8%).
The crude candidemia incidence averaged across sites and years was 8.7 per 100,000 population (range: 8.3–9.1) during 2012–2016 (Figure 1). The crude annual incidence differed by site, with the highest in Maryland (14.1 per 100,000 population) and lowest in Oregon (4.0 per 100,000 population). Adjusting for age, sex, and race, the incidence rate ratio in Maryland was 2.4 (95% confidence interval [CI]: 2.0–2.8) times the incidence in Oregon.
The crude incidence of candidemia also varied by age group, with the highest crude incidence among adults aged ≥65 years (25.5 per 100,000), followed by infants aged <1 year (15.8 per 100,000). The lowest crude incidence occurred among persons aged 1–18 years (1.1 per 100,000) (Figure 2). Adjusting for sex, race, and site, the incidence rate ratio among adults aged ≥65 years was 24.2 (95% CI: 19.5–30.0) times the incidence among persons aged 1–18 years.
The crude incidence among males (9.4 per 100,000) was higher than among females (8.0 per 100,000) (Figure 3). Adjusting for age, race, and site, the candidemia incidence rate ratio among males was 1.3 (95% CI: 1.2–1.4) times the rate among females. The adjusted incidence ratio was 1.6 (95% CI: 1.2–2.3) times higher among adults aged ≥65 years.
The crude incidence among blacks was higher than among nonblacks (13.7 versus 5.8 per 100,000) (Figure 4). Adjusting for sex, age, and site, the incidence rate ratio among blacks was 2.3 (95% CI: 2.1‒2.6) times the incidence among nonblacks. The disparity in incidence by race existed across all age groups, with the adjusted incidence rate ratio ranging from 2.1 (95% CI: 1.6–2.6) times the incidence among blacks compared with nonblacks among adults aged 19–44 years to 3.1 (95% CI: 2.1–4.6) times among persons aged 1–18 years. The disparity between blacks and nonblacks persisted in all four sites, including in Georgia and Maryland, where 41%–43% of the surveillance catchment area residents were black, and in Oregon and Tennessee, where 4%–6% of catchment area residents were black. The adjusted incidence ratio comparing incidence in blacks with nonblacks ranged from 2.1 (95% CI: 1.2–3.5) in Oregon and Maryland (95% CI: 1.4–3.2) to 2.4 (95% CI: 1.6–3.7) in Georgia.
The univariable negative binomial regression estimate of the trend in incidence over the 5-year surveillance period showed no statistically significant change in incidence. No statistically significant trend in incidence over the 5-year period was found by site, age group, sex, or race (Supplementary Table, https://stacks.cdc.gov/view/cdc/80192).
Underlying Conditions and Risk Factors for Candidemia
One third (33%) of candidemia cases were in patients with diabetes, and 17% were in patients with solid-organ malignancy. Seventeen percent were in patients with liver disease, most commonly hepatitis C virus infection (10%). Sixteen percent were in patients with chronic renal disease, and 12% were in patients who had received hemodialysis in the 90 days before the candidemia diagnosis. Three percent of cases were in patients who were infected with human immunodeficiency virus or had acquired immunodeficiency syndrome (Table 2).
Approximately one third (33%) of cases were in patients who had a surgical procedure in the 90 days before the candidemia diagnosis; abdominal surgery (19%) was the most common type of surgery. Four percent of cases were in patients who had neutropenia in the 2 days before diagnosis. Most (77%) of cases were in patients who had received systemic antibiotics in the 14 days before diagnosis. Almost one fourth (24%) of cases were in patients who had received TPN in the 14 days before the candidemia diagnosis. Georgia had a higher proportion of cases in patients receiving TPN (31%) than other sites (17%–18%). Nearly three fourths (73%) of cases were in patients who had a CVC in place within 2 days before diagnosis. More than half (58%) of cases were in patients who had had a previous hospitalization in the 90 days before the diagnosis, and 96% were in patients who were hospitalized at the time of or in the week after the diagnosis. More than half (56%) of the cases were in patients who were in the ICU in the 14 days before or after the candidemia diagnosis (Table 2).
Ten percent of cases were in patients who had used injection drugs in the previous 12 months. The proportion of cases related to injection drug use (IDU) was higher in Oregon (28%) and Tennessee (14%) than in other sites (3% in Georgia and 11% in Maryland) (Table 2).
Sixty percent of the cases were health care–onset infections, 32% were health care–associated community-onset infections, and 8% were community-onset infections (Table 3). Oregon and Tennessee had a higher proportion of community-onset cases (13%–16%) compared with Georgia and Maryland (4%–7%). The median time from admission to initial candidemia culture was 5 days (IQR: 0–16 days). The median hospital stay was 18 days (IQR: 9–35 days).
Previous Candidemia and Previous Antifungal Treatment
Nine percent of cases occurred in patients who had a previous episode of candidemia, and the median time from previous to current candidemia episode in the same patient was 104 days (IQR: 56–253 days) (Table 4). Forty-one patients had at least three cases each of candidemia, 15 patients had at least four cases, seven patients had at least five cases, and three patients had up to six cases of candidemia. Twelve percent had received antifungal treatment in the 14 days before the candidemia diagnosis; fluconazole was the most common antifungal received before diagnosis (7%), followed by echinocandins (4%) (Table 4).
A total of 82% of 3,492 cases were treated with an antifungal for candidemia. The most common antifungal received was fluconazole (56%), followed by echinocandins (51%) (Table 4). Among cases in adults who were treated, 34% were treated with fluconazole alone and 30% with echinocandins alone; 34% received both fluconazole and echinocandins. Use of echinocandins increased over time (48% in 2012 to 55% in 2016) whereas the use of fluconazole decreased over time (57% in 2012 to 49% in 2016). Echinocandins were used more frequently in the Georgia and Maryland sites (55%–57% of cases) than in the Oregon and Tennessee sites (38%–40% of cases). Amphotericin B was primarily used to treat cases among children, with 67% of cases in infants (aged <1 year) and 31% of cases in children aged 1–18 years receiving this drug for treatment of candidemia. Of the 19% of cases in patients not receiving antifungal treatment, 33% were in patients who died within 48 hours of culture, and another 7% were in patients who were discharged to palliative care. An additional 20% were in patients who were not hospitalized or had an unknown hospitalization status, and 11% were in patients discharged before culture result was available; therefore, receipt of antifungal treatment could not be determined.
The all-cause in-hospital case-fatality ratio was 25% for any time after admission and 8% for <48 hours after a positive culture. The all-cause in-hospital case-fatality ratio varied by age group: 15% in infants (aged <1 year), 10% in persons aged 1–18 years, 15% in adults aged 19–44 years, 26% in adults aged 45–64 years, and 32% in adults aged ≥65 years. The median time from positive candidemia culture to death was 6 days (IQR: 2–14) (Table 4).
C. albicans accounted for 39% of cases, and other Candida species accounted for 61%; the most common species were C. glabrata (28%), C. parapsilosis (15%), and Candida tropicalis (9%). Four percent of cases involved multiple Candida species isolated on the date of the initial candidemia blood culture or in the 30 days after. The lowest proportion of C. albicans was in Maryland (35%), compared with 40%–42% in the other three sites (Figure 5; Table 5).
Seven percent of the 2,997 isolates analyzed for antifungal resistance had either acquired or intrinsic resistance to fluconazole, and 1.6% were resistant to echinocandins. Fluconazole resistance was 8.6% among C. glabrata isolates, 7.7% among C. parapsilosis isolates, and 4.2% among C. tropicalis isolates (Table 6). Resistance to fluconazole increased from 4.4% in 2012 to 14% in 2016 among C. parapsilosis isolates, and no substantial increases occurred in fluconazole resistance in other species. Resistance to echinocandins varied by year for C. glabrata (2.1%–8.2%) and C. albicans (0%–0.9%). None of the C. parapsilosis isolates were echinocandin resistant. Multidrug resistance (i.e., resistance to two or more drug classes) was identified in 1.3% of C. glabrata isolates. Fluconazole resistance ranged from 5.9% to 10.3% in Georgia, 4.0% to 10.8% in Maryland, 0% to 9.6% in Oregon, and 1.6% to 8.6% in Tennessee (Table 7). Echinocandin resistance ranged from 0.4% to 4.3% in Georgia, 0.5% to 3.5% in Maryland, 0% to 1.9% in Oregon, and 0% to 2.1% in Tennessee. Multidrug resistance was only found in isolates from Georgia (0%–1.6%) and Maryland (0%–1.5%).
This report summarizes the incidence, underlying conditions, health care exposure, treatment, species distribution, antifungal resistance, and outcomes associated with approximately 3,500 candidemia cases at four CDC EIP surveillance sites during 2012–2016. The crude candidemia incidence averaged across sites and years was 8.7 per 100,000 population, and the all-cause in-hospital case-fatality ratio was 25%.
Candidemia incidence was highest in the Maryland site and lowest in the Oregon site. These rates differed significantly even after adjusting for year, race, age, and sex, suggesting that the difference cannot be fully explained by demographic characteristics over time. Unlike other pathogenic fungi, such as Coccidioides and Histoplasma species, which are more prevalent in the environment in specific geographic parts of the United States and hence result in varying incidence geographically (38,39), Candida is believed to be commensal in the human host. Regional differences in colonization with Candida in the United States have not been studied. Site-specific differences in the incidence of candidemia might be due to differences in the percentages of patients with underlying conditions such as diabetes and other immunosuppressive conditions (40,41), differences in practice patterns and use of antibiotics, and differences in use of antifungals and CVCs, all of which contribute to the risk for candidemia.
Candidemia incidence continues to be highest in adults aged ≥65 years, followed by infants aged <1 year. This contrasts with data from the early 1990s, when infants had the highest incidence (6), followed by substantial decreases by the late 2000s (26,28). Enhanced infection control practices, including appropriate catheter use to limit catheter-related bloodstream infections (42–44), antibiotic stewardship, and antifungal prophylaxis practices, might be responsible for some of the decreases. However, as the population of patients at risk for candidemia, such as adults aged ≥65 years or persons who are immunosuppressed, increases (45), other strategies to prevent candidemia in health care settings might be needed.
Candidemia incidence was higher in males than females even after adjusting for demographic factors, and this difference persisted across all adult age and race groups. Although females have more noninvasive candidiasis (primarily vaginal candidiasis) than males, invasive bloodstream infections were less common among females than among males. Although the reasons for differences in candidemia incidence by sex are unknown, these differences have been found with other fungal diseases such as paracoccidioidomycosis and coccidioidomycosis. For paracoccidioidomycosis, the differences in incidence occur in postpubertal age groups (approximately aged ≥12 years), and laboratory research has shown that estrogen levels might have a role in acquisition of fungal diseases (46,47). Whether estrogen levels or other factors play a role in differences in risk for candidemia among females and males is not well understood.
The previously reported racial disparity in candidemia persisted in this surveillance period (6), with a 2.3 times higher incidence among blacks than among nonblacks. This disparity was found in all surveillance sites, even though the sites had markedly different underlying population demographics (i.e., Georgia and Maryland sites, where approximately 40% of the populations in the counties under surveillance was black, compared with <10% in the Oregon and Tennessee sites ). In addition, racial disparities existed in almost all age groups. Socioeconomic factors might be a proxy for race differences and could play a role in candidemia incidence disparities (48,49). A study exploring nosocomial infections such as invasive methicillin-resistant Staphylococcus aureus (MRSA) infection found that racial disparity could partially be explained by socioeconomic factors such as overcrowding and limited access and availability to health care services (50). Differences also might exist because blacks have higher rates of diabetes, hemodialysis, and liver diseases (51), which are risk factors for candidemia (52). Additional research on the influence of race and socioeconomic factors on disparities in candidemia infections is warranted.
Known risk factors for candidemia, including diabetes, malignancies, liver and renal disease, and recent surgery, continue to be frequent among patients with candidemia. As expected, a high proportion of cases were in patients with CVCs and who received antibiotics and TPN. Although neutropenia (53,54), hematologic malignancies (53), and bone marrow transplants (10,13) are well-recognized risk factors for candidemia, only a small proportion (<5%) of cases were in patients with these underlying conditions. This might be due to increasing use of antifungal prophylactic regimens among patients with leukemia or lymphoma, patients who received bone marrow transplants, and chemotherapy recipients (15).
The finding that 10% of cases were in patients who had used injection drugs in the previous 12 months was surprising because candidemia is generally considered a health care–associated infection. Although the association between IDU and candidemia is known, IDU is not thought to be a very common contributing factor to candidemia risk. The proportion of candidemia patients with an IDU history is much higher than the estimated <1% of the entire U.S. population with a history of IDU during the previous 12 months (55), suggesting that those who inject drugs are at much higher risk for candidemia than the general population. Recent literature suggests IDU might be an increasingly common risk factor for candidemia (56). The growing opioid crisis in the United States (57,58) might be contributing to increased rates of IDU and their infectious disease sequelae (59). Ongoing surveillance should closely monitor trends in IDU and assess this type of drug use as an emerging risk factor for Candida infection and other acute infections.
Drug-resistant Candida species infections are a serious public health concern and were included in CDC’s 2013 Antibiotic Resistance Threat Report (60). Candida species other than C. albicans, which tend to be more drug resistant than C. albicans, accounted for 61% of isolates in the surveillance program, similar to what has been reported previously (6). Fluconazole resistance was fairly common in C. glabrata isolates; one in 10 isolates was resistant to fluconazole. Echinocandin resistance among C. glabrata isolates was low when taken as a whole across the surveillance program. However, as reported in a previous publication using EIP surveillance data, resistance tends to be concentrated in a few tertiary care hospitals that care for high-acuity patients with malignancies and transplants; three hospitals out of 80 included in the candidemia EIP surveillance accounted for more than half of all echinocandin-resistant isolates (19). Although a concern for echinocandin resistance in C. parapsilosis exists because of a naturally occurring variation in the protein target for echinocandins (61), no echinocandin resistance was identified among C. parapsilosis isolates in this surveillance program. Nevertheless, increasing fluconazole resistance was noted among C. parapsilosis isolates. Clinicians who treat patients with candidemia should strongly consider obtaining antifungal susceptibility testing (AFST) and be aware of local antifungal resistance patterns when making treatment decisions.
Species-level identification and AFST are important aspects of candidemia management. However, availability of both types of testing, especially AFST, is limited in clinical laboratories (62). Availability is improving through expansion of new types of species identification methods such as MALDI-TOF and the establishment of CDC’s Antibiotic Resistance Laboratory Network (63), which conducts fungal species identification and tests for antifungal susceptibility.
In contrast with the 2009 Infectious Disease Society of America guidelines for the treatment of invasive candidiasis, in which echinocandins were recommended only for neutropenic patients and patients with previous exposure to antifungals (64), the 2016 guidelines recommend echinocandins as the initial therapy for treatment of most types of invasive candidiasis among adults (43). The change in recommendations was based on the increasing frequency of infections caused by species other than C. albicans, increasing levels of fluconazole resistance, and evidence that echinocandins are more effective. Echinocandin use before 2016 increased, and changes in practice can sometimes precede updates in guidelines. As echinocandins are used with greater frequency, continuing to monitor both trends in treatment patterns as well as resistance to echinocandins is important. Resistance to echinocandins will be problematic because of the limited antifungal armamentarium. Limited alternatives that do exist (such as amphotericin B) have substantial toxicity (65). Health care facilities should consider assessing antifungal use as part of antimicrobial stewardship programs to help preserve treatment options for the future.
Although cases of C. auris were not detected in the surveillance sites during 2012–2016, ongoing transmission of C. auris has been detected in several areas in the United States, primarily in Illinois, New Jersey, and New York (66), posing an emerging threat in the United States and worldwide because of high-level antifungal resistance and spread in health care facilities (67–69). As of July 2019, approximately 700 clinical cases of C. auris had been documented in the United States (22). Infections with other rare and drug-resistant Candida species, including Candida haemulonii, Candida duobushaemulonii, and Candida rugosa, have been reported from surveillance in other countries (70,71). Ongoing surveillance for infections caused by Candida species will be critical in detecting rare and emerging drug-resistant species in the United States before they become widespread.
The findings in this report are subject to at least four limitations. First, underlying conditions and predisposing factors described in this report were extracted from medical charts, which might have resulted in underestimates of certain conditions, such as IDU, which might not be systematically recorded on medical charts. Second, although the surveillance was active, population based, and frequently audited, certain culture-proven cases might have been missed, likely underestimating the number of infections. In addition, this surveillance underestimates the true proportion of invasive candidiasis because it only includes cases positive by blood culture, which has suboptimal sensitivity, particularly for intraabdominal candidiasis, or infections in which blood cultures were not obtained. Third, surveillance data were available from 22 counties in four states representing 2.5% of the U.S. population and therefore are not nationally representative. Finally, only five time points were assessed, which limits the ability to understand long-term trends. Nevertheless, data presented in this report describe surveillance information on geographically and demographically diverse populations and are the largest data source of population-based candidemia incidence data in the United States.
Candidemia remains a serious cause of illness and death in the United States, and surveillance data are necessary to focus prevention efforts. Active surveillance for candidemia should continue to monitor incidence trends by age and race, track emergence of resistance and species distribution, monitor changes in underlying conditions and predisposing factors, and assess trends in antifungal treatment and outcomes. Surveillance was expanded to nine sites in 2017, and ongoing surveillance efforts are expected to improve the development of treatment and prevention efforts.
Sasha Harb, Stepy Thomas, Georgia Emerging Infections Program; Zintar G. Beldavs, Oregon Emerging Infections Program; Randy Kuykendall, Sabrina Singleton, Mycotic Diseases Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, CDC; and Gordana Derado, Biostatistics and Information Management Office, CDC.
Corresponding author: Snigdha Vallabhaneni, MD, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases. Telephone: 404-639-3411; E-mail: email@example.com.
1Epidemic Intelligence Service, Division of Scientific Education and Professional Development, Center for Surveillance, Epidemiology, and Laboratory Services, CDC; 2Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, CDC; 3Department of Medicine, Emory University School of Medicine, Atlanta, Georgia; Atlanta Veterans Affairs Medical Center, Atlanta, Georgia; 4Maryland Emerging Infections Program, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; 5Acute and Communicable Disease Prevention, Oregon Health Authority, Portland, Oregon; 6Vanderbilt University School of Medicine, Nashville, Tennessee
Conflicts of Interest
Lee Harrison reports personal fees from Pfizer, Merck, Sanofi, and GSK outside the submitted work, and William Schaffner reports personal fees from Merck, Pfizer, Dynavax, Seqirus, SutroVax, and Shionogi outside the submitted work.
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FIGURE 1. Crude annual candidemia incidence* — four sites, United States, 2012–2016
* Per 100,000 population, calculated from the U.S. Census Bureau population and housing unit estimates for the corresponding years.
FIGURE 2. Crude annual candidemia incidence,* by age — four sites,† United States, 2012–2016
* Per 100,000 population, calculated from the U.S. Census Bureau population and housing unit estimates for the corresponding years.
† Georgia, Maryland, Oregon, and Tennessee.
FIGURE 3. Crude annual candidemia incidence,* by sex — four sites,† United States, 2012–2016
* Per 100,000 population, calculated from the U.S. Census Bureau population and housing unit estimates for the corresponding years.
† Georgia, Maryland, Oregon, and Tennessee.
FIGURE 4. Crude annual candidemia incidence,* by race — four sites,† United States, 2012–2016
* Per 100,000 population, calculated from the U.S. Census Bureau population and housing unit estimates for the corresponding years.
† Georgia, Maryland, Oregon, and Tennessee.
FIGURE 5. Species* distribution of Candida organisms, by year — four sites,† United States, 2012–2016
* The category “Candida, other species” includes C. allocifferrii, C. bracarensis, C. dubliniensis, C. fermentati, C. guilliermondii, C. kefyr, C. krusei, C. lipolytica, C. lusitaniae, C. metapsilosis, C. orthopsilosis, C. pararugosa, C. pelliculosa, C. rugosa, and C. sojae.
† Georgia, Maryland, Oregon, and Tennessee.
Suggested citation for this article: Toda M, Williams SR, Berkow EL, et al. Population-Based Active Surveillance for Culture-Confirmed Candidemia — Four Sites, United States, 2012–2016. MMWR Surveill Summ 2019;68(No. SS-8):1–15. DOI: http://dx.doi.org/10.15585/mmwr.ss6808a1external icon.
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