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Volume 23, Number 1—January 2017
CME ACTIVITY - Research

Epidemiology of Hospitalizations Associated with Invasive Candidiasis, United States, 2002–20121

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Author affiliations: National Institutes of Health, Bethesda, Maryland, USA (S. Strollo, M.S. Lionakis, J. Adjemian, D.R. Prevots); United States Public Health Service, Rockville, Maryland, USA (J. Adjemian); Agency for Healthcare Research and Quality, Rockville (C.A. Steiner)

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Medscape, LLC designates this Journal-based CME activity for a maximum of 1.00 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

All other clinicians completing this activity will be issued a certificate of participation. To participate in this journal CME activity: (1) review the learning objectives and author disclosures; (2) study the education content; (3) take the post-test with a 75% minimum passing score and complete the evaluation at http://www.medscape.org/journal/eid; and (4) view/print certificate.

Release date: December 14, 2016; Expiration date: December 14, 2017

Learning Objectives

Upon completion of this activity, participants will be able to:

1.   Identify rates of invasive candidiasis (IC)–associated hospitalizations in the United States from 2002–2012, based on an analysis of inpatient hospitalization records from the Healthcare Cost and Utilization Project

2.   Determine risk factors for IC-associated hospitalizations in the United States from 2002–2012

3.   Assess healthcare utilization and costs of IC-associated hospitalizations in the United States from 2002–2012.

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Thomas J. Gryczan, MS, Technical Writer/Editor, Emerging Infectious Diseases. Disclosure: Thomas J. Gryczan, MS, has disclosed no relevant financial relationships.

CME Author

Laurie Barclay, MD, freelance writer and reviewer, Medscape, LLC. Disclosure: Laurie Barclay, MD, has disclosed the following relevant financial relationships: owns stock, stock options, or bonds from Pfizer.

Authors

Disclosures: Sara Strollo, MPH; Michail S. Lionakis, MD, MSc; Jennifer Adjemian, PhD; Claudia A. Steiner, MD, MPH; and D. Rebecca Prevots, PhD, MPH, have disclosed no relevant financial relationships.

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Abstract

Invasive candidiasis is a major nosocomial fungal disease in the United States associated with high rates of illness and death. We analyzed inpatient hospitalization records from the Healthcare Cost and Utilization Project to estimate incidence of invasive candidiasis–associated hospitalizations in the United States. We extracted data for 33 states for 2002–2012 by using codes from the International Classification of Diseases, 9th Revision, Clinical Modification, for invasive candidiasis; we excluded neonatal cases. The overall age-adjusted average annual rate was 5.3 hospitalizations/100,000 population. Highest risk was for adults >65 years of age, particularly men. Median length of hospitalization was 21 days; 22% of patients died during hospitalization. Median unadjusted associated cost for inpatient care was $46,684. Age-adjusted annual rates decreased during 2005–2012 for men (annual change –3.9%) and women (annual change –4.5%) and across nearly all age groups. We report a high mortality rate and decreasing incidence of hospitalizations for this disease.

Opportunistic fungi are a major cause of invasive nosocomial infections, particularly among patients with long-term stays in intensive care units; central venous catheters; recent surgery; and immunosuppression, such as those with hematopoietic stem cell transplantation and hematologic malignancies (14). Candida species are associated with invasive fungal infections among at-risk groups and have been ranked seventh as a cause of nosocomial bloodstream infection in the United States and elsewhere (46). These fungi are common gastrointestinal flora that cause a wide range of severe manifestations when disseminated into the bloodstream. Although candidemia has been described as the most common manifestation of invasive candidiasis, deep-seated infections of organs or other sites, such as the liver, spleen, heart valves, or eye, might also occur after a bloodstream infection and persist after clearance of fungi from the bloodstream (1,7).

Candidemia is associated with high rates of illness and death and has an attributable mortality rate >30%–40% in the United States (8). However, unadjusted mortality rates vary widely in the literature, ranging from 29% to 76% (3,813). Increased hospital costs and prolonged length of stay associated with invasive candidiasis contribute to a major financial burden, which is believed to exceed 2 billion dollars in the United States per year (14).

A population-based study of candidemia in the United States with active laboratory surveillance data for 2 cities (Atlanta, Georgia, and Baltimore, Maryland) reported incidences in these areas and a major decrease during 2008–2013 (13,15). However, current nationally representative data with state-specific estimates for the United States are lacking. To provide a more complete and current picture of the epidemiology of invasive candidiasis, including state-specific prevalence of hospitalizations, geographic patterns, and cost, we analyzed nationally representative hospital discharge data for this disease.

Methods

Data Source and Study Population

We extracted data from the State Inpatient Databases maintained by the US Agency for Healthcare Research and Quality (AHRQ) through the Healthcare Cost and Utilization Project (16). This project was conducted through an active collaboration between the National Institutes of Health (Bethesda, MD, USA) and the AHRQ Healthcare Cost and Utilization Project. As of 2014, the SID included 48 participating states and encompassed 97% of all US community hospital discharges.

Inpatient hospital discharge records were extracted by using codes from the International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM), for invasive candidiasis, specifically those records with disseminated candidiasis (code 112.5), candidal endocarditis (code 112.81), and candidal meningitis (code 112.83) listed anywhere in primary or secondary diagnostic fields. All secondary diagnostic fields are those other than primary fields and have 1–29 additional diagnostic codes. We excluded records with ICD-9-CM codes for localized Candida species infections. In addition, to avoid misclassification of noninvasive neonatal candidiasis as invasive candidiasis, we excluded records with codes for neonatal candidiasis (code 771.7), and records for infants <1 month (28 days) of age.

Our analysis covered 33 states that had complete demographic data and continuous participation during 2002–2012; these states contain ≈81% of the US population. Variables collected for each discharge record included year of admission, state of hospitalization, age at admission, sex, length of hospitalization, ICD-9 code (primary discharge diagnosis and up to 29 secondary codes), in-hospital deaths, and hospitalization cost.

Data Analysis

We used US Census Bureau age-, sex-, and race-specific state population data as denominators for all hospitalization rate calculations. For national and state estimates, age-adjusted hospitalization rates were calculated by using the US Census 2010 population as the reference population. Primary and secondary discharge codes among all records with an invasive candidiasis–associated hospitalization were analyzed to identify relevant concurrent conditions or procedures. Of the abstracted hospitalization records, 93% had 9 diagnostic codes. AHRQ Clinical Classification Software was used to collapse ICD-9-CM codes into a smaller number of clinically meaningful categories for analyzing concurrent conditions (17).

To estimate economic burden, we used total hospital costs for 15 states with publically available cost-to-charge data during 2002–2012, which represent 36% of the US population. Total cost of hospital stay was converted from hospitalization charge by using AHRQ cost-to-charge ratio files specific for hospital groups (18). Total hospital costs approximate the cost of providing the inpatient service, excluding physician services, and have been shown to better represent economic effect than inpatient charges (19). Medical Care Consumer Price Index data from the Bureau of Labor Statistics were used to adjust nominal estimated costs to reflect constant 2015 US dollars (20). All costs are presented in US dollars.

We analyzed a subset of 23 states with continuous race reporting during 2002–2012, which were representative of 61% of the US population, to describe hospitalizations by race. For trend analysis, we estimated the average annual percent change (APC) from Poisson regression models and used prevalence as the dependent variable and time (year) as the independent variable. Separate models were also fit for each age stratum. A p value <0.05 was considered statistically significant. SEs were scaled by using the Pearson χ2 statistic to account for overdispersion. All analysis was conducted by using SAS version 9.3 (SAS Institute, Cary, NC, USA).

Results

Figure 1

Thumbnail of Average annual invasive candidiasis−associated hospitalizations, United States, 2002−2012. Data were provided by State Inpatient Databases through the Healthcare Cost and Utilization Project maintained by the US Agency for Healthcare Research and Quality. Diagnoses were classified by using Agency for Healthcare Research and Quality clinical classification software (17) and multiple codes and ranges from the International Classification of Diseases, 9th Revision, Clinical Modificatio

Figure 1. Average annual invasive candidiasis−associated hospitalizations, United States, 2002−2012. Data were provided by State Inpatient Databases through the Healthcare Cost and Utilization Project maintained by the US Agency for Healthcare Research and...

During 2002–2012, we identified 138,433 invasive candidiasis–associated hospital discharges (average annual age-adjusted hospitalization rate 5.3 hospitalizations/100,000 population). Overall, 97% (134,225/138,433) of invasive candidiasis–associated hospitalizations were coded as disseminated candidiasis, 3% (4,253) as candidal endocarditis, and 1% (1,321) as candidal meningitis. Over the 11-year period, 1% (1,366 discharges) of hospitalization records were coded for disseminated candidiasis and candidal endocarditis or candidal meningitis; 16% (22,151 discharges) had an invasive candidiasis code as the primary diagnosis. State-specific, age-adjusted, average annual hospitalizations per 100,000 population ranged from a low of 2.0 in Vermont to 7.1 in Maryland (Figure 1). Temporal trends were similar across states, and no clear regional patterns among states were observed.

Figure 2

Thumbnail of Annual rate of invasive candidiasis–associated hospitalizations by age, United States, 2002–2012. Neonates (&lt;1 mo of age) were excluded from &lt;1 population. Data were provided by State Inpatient Databases through the Healthcare Cost and Utilization Project maintained by the US Agency for Healthcare Research and Quality. Diagnoses were classified by using Agency for Healthcare Research and Quality clinical classification software (17) and multiple codes and ranges from the Inter

Figure 2. Annual rate of invasive candidiasis–associated hospitalizations by age, United States, 2002–2012. Neonates (<1 mo of age) were excluded from <1 population. Data were provided by State Inpatient Databases through the Healthcare...

During 2002–2012, the annual age-adjusted hospitalization rate ranged from 4.3 to 5.8 hospitalizations/100,000 persons. To better describe the annual rates, we fitted a Poisson model for the period beginning in 2005 when rates appeared to be stable or decreasing. During 2005–2012, hospitalization rates decreased and showed an average APC of 4.5% for women and 3.9% for men. With the exception of persons 18–34 years of age, invasive candidiasis decreased in all other age groups during 2005–2012. The most marked decrease occurred for patients >1 month to <1 year of age; this group had an average annual decrease of 16.9% during 2005–2012 (Figure 2).

Figure 3

Thumbnail of Average annual rate of invasive candidiasis–associated hospitalizations by age and sex, United States, 2002–2012. Neonates (&lt;1 mo of age) were excluded from &lt;1 population. Data were provided by State Inpatient Databases through the Healthcare Cost and Utilization Project maintained by the US Agency for Healthcare Research and Quality. Diagnoses were classified by using Agency for Healthcare Research and Quality clinical classification software (17) and multiple codes and range

Figure 3. Average annual rate of invasive candidiasis–associated hospitalizations by age and sex, United States, 2002–2012. Neonates (<1 mo of age) were excluded from <1 population. Data were provided by State Inpatient Databases...

Overall, 67,432 (49%) of hospital discharges were for men, and 99,738 (72%) were for persons >50 years of age. The highest average annual invasive candidiasis–associated hospitalization rate was for persons >65 years of age (20/100,000 population), and within this group, men were at highest risk (Figure 3). For persons >34 years of age, rates appeared to double within successive age groups up to those 80 years of age. The rate for persons 50–64 years of age was 2.2-fold greater than that for persons 35–49 years of age, and overall rates for those 65–79 years of age were 2.2-fold greater than that for persons 50–64 years of age.

Figure 4

Thumbnail of Average annual rate of invasive candidiasis–associated hospitalizations among older age groups (&gt;50 years) by sex and race, United States, 2002–2012. Neonates (&lt;1 mo of age) were excluded from &lt;1 population. Data were provided by State Inpatient Databases through the Healthcare Cost and Utilization Project maintained by the US Agency for Healthcare Research and Quality. Diagnoses were classified by using Agency for Healthcare Research and Quality clinical classification sof

Figure 4. Average annual rate of invasive candidiasis–associated hospitalizations among older age groups (>50 years) by sex and race, United States, 2002–2012. Neonates (<1 mo of age) were excluded from <1 population. Data...

To clarify racial disparities for rates, we analyzed hospitalization rates by racial/ethnic groups in age groups where incidence was highest. For persons >50 years of age, the rate for black men was 25/100,000 population, which was 2.2 times higher than that for white men. For black women, the rate was similar (23/100,000 population), which was 2.1 times higher than that for white women. Rates for Asian and Hispanic racial/ethnic groups were similar to those for whites (Figure 4). We did not find any differences in patterns of concurrent conditions by racial/ethnic group.

The most frequent underlying conditions, as a primary or secondary diagnosis, were gastrointestinal disorders or conditions (46%), hypertension (39%), diabetes mellitus (26%), and kidney disease (25%) (Table). Overall, 72% (99,360) of invasive candidiasis discharges had an ICD-9-CM code for septicemia. A total of 45% (62,092) were associated with complications of a device, implant, or graft, and 28% (38,940) were associated with complications of surgical procedures or medical care.

The overall median length of hospital stay was 21 days. However, the median length of stay decreased from 22 days in 2002 to 17 days in 2012, and APC decreased 1.9%. The overall in-hospital mortality rate for invasive candidiasis was 22%, although a major decrease for the in-hospital mortality rate was observed during this period (average decrease of 3.7%/year). The in-hospital mortality rate was 2-fold higher for patients >50 years of age than for those <50 years of age (25.8 vs. 13.4 deaths/100 hospitalizations for invasive candidiasis). The in-hospital mortality rate was 22% for blacks and whites.

The median cost for inpatient care in 15 states was $46,684 (range $48–$1,802,688). The median cost varied little by sex (men $48,796, range $56–$1,579,163; women $45,032, range $48–$1,802,688), but varied greatly by survival status (survived $41,096, range $48–$1,480,386; deceased $72,182, range $48−$1,802,688). The highest median costs were estimated for nonneonatal infants ($58,850) and persons 50–64 years of age ($51,447).

Discussion

We found that state-specific rates for invasive candidiasis varied little across the United States and that hospitalizations for this disease have continued to decrease. Our overall age-adjusted hospitalization rate of 5.3/100,000 population was somewhat lower than those found previously through active population-based laboratory surveillance of candidemia during an overlapping period (2008–2011), which estimated an average annual crude incidence per 100,000 person-years of 13.3 in Atlanta and 26.2 in Baltimore (13). We found rates of 5.9 in Georgia and 7.1 in Maryland. The lower rates in our study are expected given that active surveillance limited to an urban area would probably detect more cases.

Our study might have underestimated true rates for invasive candidiasis, given the limitations of administrative data, including undercoding of candidemia because of low sensitivity of blood cultures, poor provider documentation of invasive candidiasis, or discharge before receipt of laboratory results. The sensitivity of blood culture is estimated to be 50% (21), and culture is more likely to miss deep-seated candidiasis in the absence of candidemia. Although specific to a pediatric population, a cross-sectional analysis found that ICD-9-CM codes for candidemia had a sensitivity of 60% and a specificity >99% specific (22). Invasive infections might persist in organs after infections are cleared from the bloodstream, and ≈8% of candidemia cases show reoccurrence (13). Cultures might take 5–8 days for results to be obtained, such that patients might be discharged or die before receiving results. Thus, patients would not be coded as having candidemia, which would lead to underestimation of illness and death (23).

Adults >65 years of age having the highest risk for invasive candidiasis–associated hospitalization and the progressively increasing rate by age of hospitalizations among adults, with a peak among persons >80 years of age, are also consistent with a previous report of population-based surveillance for candidemia (15). Similarly, the 2-fold higher incidence among black persons has been reported in population-based studies of candidemia in Atlanta and Baltimore. The reasons for this racial disparity are not fully understood. A recent study conducted in 4 US cities found that adjusting for poverty attenuated the association of black race with candidemia; however, a persistent 2-fold racial disparity remained even after this adjustment (24).

The decrease in hospitalizations for invasive candidiasis and deaths from this disease across nearly all age groups is consistent with results from other studies that used similar time frames. Cleveland et al. also reported a major decrease in these parameters in Atlanta and Baltimore during 2008–2013 (15). A major cause of bloodstream infections is central line–associated bloodstream infections. Cleveland et al. found that 85% of candidemia patients had used a central venous catheter <2 days before the bloodstream infection culture date (15). Estimates from the Centers for Disease Control and Prevention (Atlanta, GA, USA) identified a marked decrease in central line–associated bloodstream infections during 2001 and 2008–2009. These decreases were attributed to increased state and regional prevention efforts supported by several federal agencies after establishment of a national goal in 2009 to reduce central line–associated bloodstream infections by 50% by 2013 (25).

Few studies have reported on length of stay and associated trends among invasive candidiasis–related hospitalizations. A recent US study reported a mean length of hospital stay of 22 days for persons with candidemia by using the Surveillance and Control of Pathogens of Epidemiologic Importance database (3). We report a median length of stay of 21 days and a major decreasing trend during 2002–2012. A study in 2005 used the AHRQ 2000 Nationwide Inpatient Survey for 28 states to analyze attributable outcomes among adult patients (>18 years of age) with hospital-associated candidemia (26). This study reported a mean estimated length of stay of 18.6 days and associated charges of $66,154 in 2000 US dollars. Our reported median hospitalization costs of $46,684 for invasive candidiasis–associated hospitalizations are lower. However, charges probably overestimate actual costs. In addition, median costs limit data extremes from skewing results and provide greater accuracy. Finally, our costs reflect 11 years of hospital discharges, include nonneonatal hospitalizations of patients <18 years of age, and reflect multiple invasive candidiasis codes.

Candida species remain the leading fungal cause of healthcare associated infections and the seventh most common overall pathogen, representing 6% of all healthcare-associated infections; in 2011 an estimated 648,000 patients had >1 healthcare-associated infection, representing 4% of all inpatients in the United States (4). Although national invasive candidiasis–associated hospitalization rates have been decreasing for men and women since 2005, the incidence of invasive candidiasis–associated hospitalizations remains high and is associated with substantial mortality rates and health costs. Continued research is needed to identify interventions associated with these decreasing trends to further accelerate this observed decrease, including improved prevention and treatment, such as optimum antifungal treatments and timing of medical procedures.

At the time of this study, Ms. Strollo was Intramural Research Training Award fellow at the National Institutes of Health, Bethesda, MD. She is currently a research analyst at the American Cancer Society, Atlanta, GA. Her research interests are epidemiology and population health.

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Acknowledgments

We thank state data organizers for contributions to the Healthcare Cost and Utilization Project, 2002–2012.

This study was supported by the Intramural Research Program of the National Institute of Allergy and Infectious Diseases, National Institutes of Health.

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References

  1. Kullberg  BJ, Arendrup  MC. Invasive Candidiasis. N Engl J Med. 2015;373:144556. DOIPubMedGoogle Scholar
  2. Pappas  PG. Invasive candidiasis. Infect Dis Clin North Am. 2006;20:485506. DOIPubMedGoogle Scholar
  3. Wisplinghoff  H, Ebbers  J, Geurtz  L, Stefanik  D, Major  Y, Edmond  MB, et al. Nosocomial bloodstream infections due to Candida spp. in the USA: species distribution, clinical features and antifungal susceptibilities. Int J Antimicrob Agents. 2014;43:7881. DOIPubMedGoogle Scholar
  4. Magill  SS, Edwards  JR, Bamberg  W, Beldavs  ZG, Dumyati  G, Kainer  MA, et al.; Emerging Infections Program Healthcare-Associated Infections and Antimicrobial Use Prevalence Survey Team. Multistate point-prevalence survey of health care-associated infections. N Engl J Med. 2014;370:1198208. DOIPubMedGoogle Scholar
  5. Yapar  N. Epidemiology and risk factors for invasive candidiasis. Ther Clin Risk Manag. 2014;10:95105. DOIPubMedGoogle Scholar
  6. Doi  AM, Pignatari  AC, Edmond  MB, Marra  AR, Camargo  LF, Siqueira  RA, et al. Epidemiology and microbiologic characterization of nosocomial candidemia from a Brazilian national surveillance program. PLoS One. 2016;11:e0146909. DOIPubMedGoogle Scholar
  7. Pfaller  MA, Andes  DR, Diekema  DJ, Horn  DL, Reboli  AC, Rotstein  C, et al. Epidemiology and outcomes of invasive candidiasis due to non-albicans species of Candida in 2,496 patients: data from the Prospective Antifungal Therapy (PATH) registry 2004-2008. PLoS One. 2014;9:e101510. DOIPubMedGoogle Scholar
  8. Gudlaugsson  O, Gillespie  S, Lee  K, Vande Berg  J, Hu  J, Messer  S, et al. Attributable mortality of nosocomial candidemia, revisited. Clin Infect Dis. 2003;37:11727. DOIPubMedGoogle Scholar
  9. Wisplinghoff  H, Bischoff  T, Tallent  SM, Seifert  H, Wenzel  RP, Edmond  MB. Nosocomial bloodstream infections in US hospitals: analysis of 24,179 cases from a prospective nationwide surveillance study. Clin Infect Dis. 2004;39:30917. DOIPubMedGoogle Scholar
  10. Eggimann  P, Garbino  J, Pittet  D. Epidemiology of Candida species infections in critically ill non-immunosuppressed patients. Lancet Infect Dis. 2003;3:685702. DOIPubMedGoogle Scholar
  11. Diekema  D, Arbefeville  S, Boyken  L, Kroeger  J, Pfaller  M. The changing epidemiology of healthcare-associated candidemia over three decades. Diagn Microbiol Infect Dis. 2012;73:458. DOIPubMedGoogle Scholar
  12. Myerowitz  RL, Pazin  GJ, Allen  CM. Disseminated candidiasis. Changes in incidence, underlying diseases, and pathology. Am J Clin Pathol. 1977;68:2938. DOIPubMedGoogle Scholar
  13. Cleveland  AA, Farley  MM, Harrison  LH, Stein  B, Hollick  R, Lockhart  SR, et al. Changes in incidence and antifungal drug resistance in candidemia: results from population-based laboratory surveillance in Atlanta and Baltimore, 2008-2011. Clin Infect Dis. 2012;55:135261. DOIPubMedGoogle Scholar
  14. Wilson  LS, Reyes  CM, Stolpman  M, Speckman  J, Allen  K, Beney  J. The direct cost and incidence of systemic fungal infections. Value Health. 2002;5:2634. DOIPubMedGoogle Scholar
  15. Cleveland  AA, Harrison  LH, Farley  MM, Hollick  R, Stein  B, Chiller  TM, et al. Declining incidence of candidemia and the shifting epidemiology of Candida resistance in two US metropolitan areas, 2008-2013: results from population-based surveillance. PLoS One. 2015;10:e0120452. DOIPubMedGoogle Scholar
  16. Healthcare Cost and Utilization Project. State Inpatient Databases, 2002–2012. Rockville (MD): Agency for Healthcare Research and Quality [cited 2016 Apr 14]. https://www.hcup-us.ahrq.gov/sidoverview.jsp
  17. Healthcare Cost and Utilization Project. Clinical Classifications Software (CCS) for ICD-9-CM, 2002–2012. Rockville (MD): Agency for Healthcare Research and Quality [cited 2016 Apr 14]. https://www.hcup-us.ahrq.gov/toolssoftware/ccs/ccs.jsp
  18. Healthcare Cost and Utilization Project. Cost-to-charge files, 2002–2012. Rockville (MD): Agency for Healthcare Research and Quality [cited 2016 Apr 14]. https://www.hcup-us.ahrq.gov/db/state/costtocharge.jsp
  19. Finkler  SA. The distinction between cost and charges. Ann Intern Med. 1982;96:1029. DOIPubMedGoogle Scholar
  20. US Department of Labor. Bureau of Labor Statistics. Chained consumer price index for all urban consumers (C-CPI-U) 2002–2015, medical care [cited 2016 Apr 14]. http://www.bls.gov/data/
  21. Clancy  CJ, Nguyen  MH. Undiagnosed invasive candidiasis: incorporating non-culture diagnostics into rational prophylactic and preemptive antifungal strategies. Expert Rev Anti Infect Ther. 2014;12:7314. DOIPubMedGoogle Scholar
  22. Asti  L, Newland  J, Zerr  D, Elward  A, Leckerman  K, Guth  R, et al. Multi-center validation of ICD-9 codes for candidemia in a pediatric population. In: Abstracts of the 48th Infectious Disease Society of America Meeting, Vancouver, British Columbia, Canada, Oct 22–24. Arlington (VA): Infectious Diseases Society of America; 2010. Abstract 561.
  23. Clancy  CJ, Nguyen  MH. Finding the “missing 50%” of invasive candidiasis: how nonculture diagnostics will improve understanding of disease spectrum and transform patient care. Clin Infect Dis. 2013;56:128492. DOIPubMedGoogle Scholar
  24. Walker  TA, Derado  G, Cleveland  AA, Beldavs  ZG, Farley  LH. Socioeconomic determinants of racial disparities in candidemia incidence using geocoded data from the Emerging Infections Program (EIP), 2008–2014. In: Abstracts of the 65th Annual Epidemic Intelligence Service (EIS) Conference, Atlanta; May 2–5, 2016. Atlanta: Centers for Disease Control and Prevention; 2016. Abstract P2.11.
  25. Centers for Disease Control and Prevention (CDC). Vital signs: central line-associated blood stream infections—United States, 2001, 2008, and 2009. MMWR Morb Mortal Wkly Rep. 2011;60:2438.PubMedGoogle Scholar
  26. Zaoutis  TE, Argon  J, Chu  J, Berlin  JA, Walsh  TJ, Feudtner  C. The epidemiology and attributable outcomes of candidemia in adults and children hospitalized in the United States: a propensity analysis. Clin Infect Dis. 2005;41:12329. DOIPubMedGoogle Scholar

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Article Title: Epidemiology of Hospitalizations Associated with Invasive Candidiasis, United States, 2002–2012

CME Questions

1. You are advising a large hospital about anticipated needs regarding cases of invasive candidiasis (IC). According to the analysis of inpatient hospitalization records from the Healthcare Cost and Utilization Project (HCUP) by Strollo and colleagues, which of the following statements about rates of IC-associated hospitalizations in the United States from 2002–2012 is correct?

A.         Average annual age-adjusted rate of IC-associated hospitalizations in the United States from 2002–2012 was 5.3 hospitalizations per 100,000 population

B.         Age-adjusted annual rates decreased significantly from 2005–2012 among men but not among women

C.        Among all 50 states, there was significant, marked variation in state-specific rates of IC

D.        Age-adjusted annual rates decreased significantly from 2005–2012 among adults 50 to 65 years old, but not in other age groups

2. According to the analysis of inpatient hospitalization records from HCUP by Strollo and colleagues, which of the following statements about risk factors for rates of IC-associated hospitalizations in the United States from 2002–2012 is correct?

A.         Children were at highest risk for IC-associated hospitalization

B.         Adults 65 years or older were at highest risk, with risk peaking among adults older than 80 years

C.        Age groups with the highest rates of IC-associated hospitalizations in this study differ from those of previous reports from population-based surveillance for candidemia

D.        Blacks had a 4-fold higher incidence of IC-associated hospitalization

3. According to the analysis of inpatient hospitalization records from HCUP by Strollo and colleagues, which of the following statements about healthcare utilization, complications, and costs of IC-associated hospitalizations in the United States from 2002–2012 is correct?

A.         Median length of hospital stay was 21 days overall, with a significant increase during the study period

B.         An estimated 12% of patients died during hospitalization

C.        There were 97% of IC-associated hospitalizations that were coded as disseminated candidiasis, 3% as candidal endocarditis, and 1% as candidal meningitis

D.        Median costs varied more by patient sex than by survival status

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Cite This Article

DOI: 10.3201/eid2301.161198

1Preliminary results from this study were presented at the IDWeek 2015 Conference; October 7–11, 2015; San Diego, California, USA.

2Current affiliation: American Cancer Society, Atlanta, Georgia, USA.

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