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. Author manuscript; available in PMC: 2024 Mar 27.
Published in final edited form as: N Engl J Med. 2015 Feb 26;372(9):825–834. doi: 10.1056/NEJMoa1408913

Burden of Clostridium difficile Infection in the United States

Fernanda C Lessa 1, Yi Mu 2, Wendy M Bamberg 3, Zintars G Beldavs 4, Ghinwa K Dumyati 5, John R Dunn 6, Monica M Farley 7, Stacy M Holzbauer 8, James I Meek 9, Erin C Phipps 10, Lucy E Wilson 11, Lisa G Winston 12, Jessica A Cohen 13, Brandi M Limbago 14, Scott K Fridkin 15, Dale N Gerding 16, L Clifford McDonald 17
PMCID: PMC10966662  NIHMSID: NIHMS1969551  PMID: 25714160

Abstract

background

The magnitude and scope of Clostridium difficile infection in the United States continue to evolve.

methods

In 2011, we performed active population- and laboratory-based surveillance across 10 geographic areas in the United States to identify cases of C. difficile infection (stool specimens positive for C. difficile on either toxin or molecular assay in residents ≥1 year of age). Cases were classified as community-associated or health care–associated. In a sample of cases of C. difficile infection, specimens were cultured and isolates underwent molecular typing. We used regression models to calculate estimates of national incidence and total number of infections, first recurrences, and deaths within 30 days after the diagnosis of C. difficile infection.

results

A total of 15,461 cases of C. difficile infection were identified in the 10 geographic areas; 65.8% were health care–associated, but only 24.2% had onset during hospitalization. After adjustment for predictors of disease incidence, the estimated number of incident C. difficile infections in the United States was 453,000 (95% confidence interval [CI], 397,100 to 508,500). The incidence was estimated to be higher among females (rate ratio, 1.26; 95% CI, 1.25 to 1.27), whites (rate ratio, 1.72; 95% CI, 1.56 to 2.0), and persons 65 years of age or older (rate ratio, 8.65; 95% CI, 8.16 to 9.31). The estimated number of first recurrences of C. difficile infection was 83,000 (95% CI, 57,000 to 108,900), and the estimated number of deaths was 29,300 (95% CI, 16,500 to 42,100). The North American pulsed-field gel electrophoresis type 1 (NAP1) strain was more prevalent among health care–associated infections than among community-associated infections (30.7% vs. 18.8%, P<0.001)

conclusions

C. difficile was responsible for almost half a million infections and was associated with approximately 29,000 deaths in 2011. (Funded by the Centers for Disease Control and Prevention.)


Changes in the epidemiology of CLOStridium difficile infections have occurred since the emergence of the North American pulsed-field gel electrophoresis type 1 (NAP1) strain, which has been responsible for geographically dispersed hospital-associated outbreaks.13 In the United States, hospitalizations for C. difficile infection among nonpregnant adults doubled from 2000 through 2010 and were projected to continue to increase in 2011 and 2012, especially as laboratories transition to more sensitive C. difficile assays, such as the nucleic acid amplification test (NAAT).46 On the basis of data from U.S. death certificates, C. difficile infection is the leading cause of gastroenteritis-associated death and was estimated to cause 14,000 deaths in 2007.7 C. difficile has become the most common cause of health care–associated infections in U.S. hospitals, and the excess health care costs related to C. difficile infection are estimated to be as much as $4.8 billion for acute care facilities alone.810 In addition, C. difficile infection has been increasingly reported outside of acute care facilities, including in community and nursing homes settings, where infection may be diagnosed and treated without hospitalization.1113 As the epidemiology of C. difficile changes, both in health care and community settings, it is important to understand the magnitude and scope of this infection in the United States to help guide priorities for prevention.

In 2009, the Centers for Disease Control and Prevention (CDC) started active population- and laboratory-based surveillance for C. difficile infection at 7 U.S. sites. This surveillance was expanded to 10 sites in 2011 to provide better national estimates of disease burden, incidence, recurrence, and mortality by capturing data across the spectrum of health care delivery and community settings.

METHODS

SURVEILLANCE POPULATION AND DEFINITION

C. difficile surveillance is a component of the CDC’s Emerging Infections Program (EIP). In 2011, C. difficile surveillance was conducted at 10 EIP sites across 34 counties (total population, approximately 11.2 million) for the entire calendar year. Surveillance catchment areas included California (1 urban county; population, 812,826), Colorado (5 urban counties; population, 2,488,410), Connecticut (1 urban county; population, 861,113), Georgia (8 urban counties; population, 3,753,452), Maryland (3 rural and 8 urban counties; population, 835,893), Minnesota (2 rural and 2 urban counties; population, 248,079), New Mexico (1 urban county; population, 670,968), New York (1 urban county; population, 745,625), Oregon (1 rural county; population, 66,299), and Tennessee (1 urban county; population, 635,475).

The surveillance methods have been described previously.14,15 Briefly, surveillance staff at each EIP site identified all positive C. difficile test results from 88 inpatient and 33 outpatient laboratories serving residents in surveillance areas in 2011. A case of C. difficile infection was defined as a positive result on a C. difficile toxin or molecular assay of a stool specimen obtained from a surveillance-area resident at least 1 year of age who had not had a positive assay in the previous 8 weeks (i.e., incident infection). This surveillance was approved by the institutional review boards at the CDC and at the participating EIP sites.

data collection

We performed an initial medical-record review to collect data on demographic characteristics, the location of stool collections, and health care exposures on all cases of C. difficile infection in 8 of the 10 EIP sites. In 2 EIP sites with the largest surveillance populations (Georgia and Colorado), we performed an initial medical-record review on a random sample of cases, as described previously.15

On the basis of the initial medical review, a case was classified as community-associated if the C. difficile–positive specimen was collected on an outpatient basis or within 3 days after hospital admission and the patient had no documented overnight stay in a health care facility during the previous 12 weeks. All other cases were classified as health careassociated and further categorized into three mutually exclusive groups: community onset associated with a health care facility, hospital onset, or nursing home onset (Table S1 in the Supplementary Appendix, available with the full text of this article at NEJM.org). All cases that were classified as either community-associated or community-onset health care–associated underwent full medical-record review to collect information on coexisting medical conditions, medication exposures, first laboratory-confirmed recurrences (i.e., positive specimen within 2 to 8 weeks after the last positive test), and death within 30 days after diagnosis of C. difficile infection. In addition, we reviewed a sample consisting of 10% of cases with an onset in a nursing home or hospital.

A convenience sample of clinical laboratories across the EIP sites (37 laboratories) submitted all C. difficile–positive stool specimens from cases with full medical-record review for culture.16 Recovered isolates underwent pulsed-field gel electrophoresis (PFGE). PFGE patterns were analyzed with the use of BioNumerics software, version 5.10 (Applied Maths) and grouped into pulsed-field types with the use of Dice coefficient analysis and UPGMA (unweighted pair group method with arithmetic mean) clustering. An 80% similarity threshold was used to assign North American PFGE (NAP) types.17 Isolates also underwent polymerase-chain-reaction (PCR) assay to detect the presence of tcdA, tcdB, and binary toxin (cdtA and ctdB) genes and a subset of the most common NAP types underwent PCR ribotyping.18

Between November 2011 and January 2012, all laboratories serving the surveillance population were surveyed to assess the type of C. difficile diagnostic tests that were used during 2011.19 Laboratory surveys were used to estimate the proportion of cases in the surveillance areas that were identified by means of NAAT.

statistical analysis

Data were analyzed with the use of SAS software, version 9.3 (SAS Institute). In cases of C. difficile infection in which the patient’s race was unknown (18.7%), including sampled cases from Georgia and Colorado, we imputed race on the basis of the distribution of known races according to age, sex, and surveillance site.20 After race imputation was performed, a domain (subpopulation) analysis was used to estimate the number of cases according to epidemiologic class and race in the two EIP sites where sampling was performed (Georgia and Colorado).21

To generate an estimate of the national burden of C. difficile infection, we built two generalized linear mixed models with negative binomial distribution, one for health careassociated cases and another for community-associated cases, using predictors that had been shown to be associated with infection incidence in each epidemiologic category.15 We estimated the national number of health care–associated infections using model coefficients that accounted for the age of the population, the volume of inpatient days, and the proportion of cases identified by means of NAAT across EIP sites, since the rate of NAAT use in the United States is unknown. We estimated the national number of community-associated cases in a similar way, accounting for age, sex, and race of the U.S. population, as well as NAAT use across the EIP sites. We constructed 95% confidence intervals for the national estimates according to each epidemiologic category using imputation error, sampling error for Georgia and Colorado, and modeling error.20,21 We then calculated the total national burden of C. difficile infection by adding estimated numbers of community-associated and health care–associated cases and 95% confidence intervals.

We estimated the numbers of recurrences and deaths within 30 days and corresponding 95% confidence intervals by performing domain analysis21 to account for sampling design across EIP sites and using site-specific and national sampling weights for the national projections. We calculated the population-based incidence of C. difficile infection (site-specific and national) using 2011 U.S. Census data.22 In this calculation, we excluded infants under the age of 1 year from the denominator, since they were not included in the numerator. We also performed a sensitivity analysis to estimate the national burden of C. difficile infection according to different levels of NAAT use.

RESULTS

incidence and burden of C. DIFFICILE infection

From January 1, 2011, to December 31, 2011, we identified 15,461 cases of C. difficile infection in 14,453 patients across the 10 EIP sites. Of these cases, 65.8% were health care–associated, and 24.2% were hospital-onset. The crude incidence per 100,000 population ranged from 30 to 120 cases of community-associated infection and from 50 to 160 cases of health care–associated infection across the EIP sites. The incidence of health care–associated infection was higher than the incidence of community-associated infection for all sites except Minnesota, where the surveillance population was primarily rural (Table 1).

Table 1. Incidence of Clostridium difficile Infection (CDI), According to Geographic Location and Epidemiologic Category, 2011.

*

Site Counties under Surveillance Population ≥1 Yr of Age Community-Associated CDI Health Care–Associated CDI
no. Total No. of Cases Incidence per 100,000 Persons Total No. of Cases Incidence per 100,000 Persons
All sites 10,971,319 5284 48.2 10,177 92.8
California San Francisco 804,110 297 37.0 733 91.1
Colorado Adams, Arapahoe, Denver, Douglas, Jefferson 2,454,142 1229 50.1 2,200 89.7
Connecticut New Haven 851,962 393 46.1 1,355 159.1
Georgia Clayton, Cobb, Douglas, DeKalb, Fulton, Gwinnett, Newton, Rockdale 3,699,307 1395 37.7 2,381 64.7
Maryland Caroline, Cecil, Dorchester, Frederick, Kent, Somerset, Talbot, Queen Anne’s, Washington, Wicomico, Worcester 826,430 485 58.7 1,056 127.7
Minnesota Stearns, Benton, Morrison, Todd 244,884 303 123.7 177 72.3
New Mexico Bernalillo 661,779 354 53.4 727 109.9
New York Monroe 737,270 634 86.0 1,145 155.3
Oregon Klamath 65,545 27 41.2 31 47.3
Tennessee Davidson 625,890 167 26.7 372 59.4
*

The 2011 population is based on estimates from the U.S. Census Bureau.22 The epidemiologic category was statistically imputed for cases with unknown epidemiologic data as follows: 3 cases in California, 39 cases in Maryland, and 43 cases in New Mexico.

The weighted frequency of cases was based on 33% random sampling.

The pooled mean crude incidence of community-associated infection was 48.2 per 100,000 population. After accounting for age, sex, and race of the U.S. population and NAAT use across EIP sites, the national estimated incidence of community-associated C. difficile infection was 51.9 (95% confidence interval [CI], 43.2 to 60.5) per 100,000 population, for a national burden estimate of 159,700 cases (95% CI, 132,900 to 186,000). For health care–associated infection, the pooled mean crude incidence was 92.8 cases per 100,000 population. After accounting for the age of the U.S. population, the volume of inpatient days, and a presumed NAAT use of 52% on the basis of the EIP sites, the national estimated incidence of health care–associated C. difficile infection was 95.3 (95% CI, 85.9 to 104.8) per 100,000 population, for a national burden estimate of 293,300 cases (95% CI, 264,200 to 322,500). Overall, we estimated that 453,000 cases of C. difficile infection (95% CI, 397,100 to 508,500) occurred in 2011 (Table 2). Incidence estimates were higher among females than among males (rate ratio, 1.26; 95% CI, 1.25 to 1.27), among whites than among nonwhites (rate ratio, 1.72; 95% CI, 1.56 to 2.00), and among persons 65 years of age or older than among those under the age of 65 years (rate ratio, 8.65; 95% CI, 8.16 to 9.31).

Table 2. Adjusted U.S. National Estimates of Burden and Incidence of CDI, 2011.

Demographic Characteristic Community-Associated CDI* Health Care–Associated CDI All CDI
Estimated No. of Cases Incidence per 100,000 Persons Estimated No. of Cases Incidence per 100,000 Persons Estimated No. of Cases Incidence per 100,000 Persons
All cases 159,700 (132,900–186,000) 51.9 (43.2–60.5) 293,300 (264,200–322,500) 95.3 (85.9–104.8) 453,000 (397,100–508,500) 147.2 (129.1–165.3)
Sex
 Male 64,300 (52,800–75,300) 42.5 (34.8–49.8) 132,700 (118,700–146,700) 87.7 (78.5–97.0) 197,000 (171,500–222,000) 130.2 (113.3–146.8)
 Female 95,400 (80,100–110,700) 61.0 (51.2–70.8) 160,600 (145,500–175,800) 102.7 (93.1–112.5) 256,000 (225,600–286,500) 163.8 (144.3–183.3)
Age group
 1–17 yr 12,500 (10,000–15,000) 17.9 (14.1–21.4) 4400 (3200–5800) 6.3 (4.6–8.3) 16,900 (13,200–20,800) 24.2 (18.7–29.7)
 18–44 yr 35,600 (26,000–39,200) 28.7 (22.9–34.5) 20,800 (16,700–24,800) 18.3 (14.7–21.9) 53,400 (42,700–64,000) 47.0 (37.6–56.4)
 45–64 yr 54,100 (45,600–62,600) 65.4 (55.1–75.6) 68,800 (61,000–76,600) 83.1 (73.7–92.5) 122,900 (106,600–139,200) 148.5 (128.8–168.1)
 ≥65 yr 60,500 (51,300–69,200) 146.2 (124.0–167.2) 193,300 (183,300–215,300) 481.5 (442.8–520.1) 259,800 (234,600–284,500) 627.7 (566.8–687.3)
Race
 White 138,100 (118,500–157,700) 57.4 (49.2–65.5) 259,900 (230,100–273,800) 104.7 (95.6–113.8) 390,000 (348,600–431,500) 162.1 (144.8–179.3)
 Nonwhite 21,600 (14,400–28,300) 32.2 (21.5–42.2) 41,400 (34,100–48,700) 61.8 (50.9–72.7) 63,000 (48,500–77,000) 94.0 (72.4–114.9)
*

Data for community-associated Clostridium difficile infection (CDI) were adjusted for age, sex, race, and a rate of use of nucleic acid amplification test (NAAT) of 52%. Ranges in parentheses are 95% confidence intervals.

Data for health care–associated CDI were adjusted for age, inpatient days, and a rate of use of NAAT of 52%.

Race was imputed for 18.7% of the observed cases of C. difficile infection.

Of the 293,300 health care–associated cases, we estimated that 107,600 (95% CI, 97,200 to 118,000) had a hospital onset, 104,400 (95% CI, 94,100 to 115,800) had a nursing home onset, and 81,300 (95% CI, 72,900 to 89,000) had a community onset associated with a health care facility (Fig. 1).

Figure 1. Estimated U.S. Burden of Clostridium difficile Infection (CDI), According to the Location of Stool Collection and Inpatient Health Care Exposure, 2011.

Figure 1.

Of the estimated cases of community-associated CDI, 82% were estimated to be associated with outpatient health care exposure.11 CO-HCA denotes community-onset health care–associated infection, HO hospital onset, and NHO nursing home onset.

As determined on sensitivity analysis, the national estimates of health care–associated, community-associated, and overall infection burden could change substantially, depending on NAAT use, ranging from a total of 325,300 cases (95% CI, 286,300 to 364,000) if no U.S. laboratories were using NAAT to 622,600 cases (95% CI, 543,400 to 701,100) if all U.S. laboratories adopted NAAT (Fig. S1 in the Supplementary Appendix).

C. difficile recurrence and mortality

Among the cases of community-associated infection, the estimated rate was 13.5% for first recurrence and 1.3% for death within 30 days after diagnosis of C. difficile infection, for national estimates of 21,600 first recurrences (95% CI, 16,900 to 26,300) and 2000 deaths (95% CI, 1200 to 2800). Recurrence and death were more commonly observed among the health care–associated infections than among community-associated infections. Of the patients with health care–associated infection, the rate of first recurrence was estimated at 20.9%, and the rate of death within 30 days was 9.3%, resulting in an estimated 61,400 recurrences (95% CI, 40,200 to 82,600) and 27,300 deaths (95% CI, 15,300 to 39,300) nationally (Table 3).

Table 3. Adjusted U.S. National Estimates of Recurrences and Deaths Associated with CDI, According to Epidemiologic Category, 2011.

*

Characteristic Estimated Recurrences Recurrence Rate Estimated Deaths Death Rate
CA CDI HCA CDI CA CDI HCA CDI CA CDI HCA CDI CA CDI HCA CDI
no. (95% CI) no. per 100,000 persons (95% CI) no. (95% CI) no. per 100,000 persons (95% CI)
All cases 21,600 (16,900–26,300) 61,400 (40,200–82,600) 7.0 (5.5–8.6) 19.9 (13.0–26.9) 2000 (1200–2800) 27,300 (15,300–39,300) 0.7 (0.4–0.9) 8.9 (5.0–12.8)
Sex
 Male 7800 (5100–10,500) 27,300 (12,800–41,800) 5.2 (3.4–6.9) 18.0 (8.5–27.6) 900 (450–1350) 12,300 (3800–20,700) 0.6 (0.3–0.9) 8.1 (2.5–13.7)
 Female 13,800 (9900–17,600) 34,000 (18,700–49,400) 8.8 (6.3–11.3) 21.7 (12.0–31.6) 1100 (400–1700) 15,000 (6600–23,500) 0.7 (0.3–1.1) 9.6 (4.2–15.0)
Age group
 1–17 yr 1400 (900–1900) 300 (100–500) 2.0 (1.3–2.7) 0.4 (0.1–0.7) NA NA NA NA
 18–44 yr 2600 (1300–3900) 3400 (1000–5700) 2.3 (1.1–3.4) 3.0 (0.9–5.0) 50 (0–120) NA <0.1 (0–0.1) NA
 45–64 yr 6200 (4000–8300) 9000 (4400–13,700) 7.5 (4.8–10.0) 10.9 (5.3–16.6) 420 (120–720) 4500 (1020–8000) 0.5 (0.1–0.9) 5.4 (1.2–9.7)
 ≥65 yr 11,400 (7400–15,400) 48,700 (28,100–69,200) 27.5 (17.9–37.2) 117.6 (67.9–167.2) 1500 (750–2200) 22,800 (11,300–34,200) 3.6 (1.8–5.3) 55.1 (27.3–82.6)
Race
 White 19,600 (14,900–24,200) 54,900 (34,000–75,700) 8.1 (6.2–10.1) 22.8 (14.1–31.5) 1800 (980–2600) 25,700 (13,900–37,600) 0.8 (0.4–1.1) 10.7 (5.8–15.6)
 Nonwhite 2000 (900–3200) 6500 (400–12,600) 3.0 (1.3–4.8) 9.7 (0.6–18.8) 200 (0–390) 1600 (0–3500) 0.3 (0.0–0.6) 2.4 (0.0–5.2)
*

A recurrence was defined as a positive result on testing for C. difficile in a stool specimen during the period from 14 days through 56 days after the initial episode of C. difficile infection (CDI). Death from CDI was defined as any death occurring within 30 days after positive results on testing for C. difficile in a stool specimen. CA denotes community-associated, HCA health care–associated, and NA not applicable because no deaths within 30 days were observed.

isolate characterization

C. difficile was isolated in samples obtained from 1364 of 1625 patients (83.9%) in whom stool culture was performed. The three most common strains in both community- and health care–associated cases were NAP1, NAP4, and NAP11, which represented mostly PCR ribotypes 027, 020, and 106, respectively (Table 4). The NAP1 strain was more common among health care–associated cases than among community-associated cases (30.7% vs. 18.8%, P<0.001). Among the 138 community-associated cases and 193 health care–associated cases with NAP1 strains, 12 isolates (8.7%) and 3 isolates (1.6%), respectively, were negative for binary toxin. The NAP7 strain (PCR ribotype 078) represented less than 4% of the isolates in the two groups, and all NAP7 isolates were positive for binary toxin.

Table 4. Distribution of C. difficile Strains, According to Epidemiologic Category.

*

Strain Community-Associated CDI (N = 735) Health Care–Associated CDI (N = 629)
no. of cases (%)
NAP1 138 (18.8) 193 (30.7)
NAP1-related 13 (1.8) 20 (3.2)
NAP2 13 (1.8) 10 (1.6)
NAP3 3 (0.4) 12 (1.9)
NAP4 84 (11.4) 65 (10.3)
NAP5 3 (0.4) 6 (1.0)
NAP6 56 (7.6) 27 (4.3)
NAP7 25 (3.4) 13 (2.1)
NAP7-related 2 (0.3) 2 (0.3)
NAP8 5 (0.7) 1 (0.2)
NAP9 22 (3.0) 9 (1.4)
NAP10 21 (2.9) 15 (2.4)
NAP11 79 (10.7) 63 (10.0)
NAP12 9 (1.2) 16 (2.5)
Unnamed§ 245 (33.3) 163 (25.9)
Could not be typed 17 (2.3) 14 (2.2)
*

Molecular typing was performed with the use of pulsed-field gel electrophoresis (PFGE). PFGE types represented the following ribotypes on polymerase-chain-reaction assay, according to an analysis that was performed on a random sample of 35 of the most prevalent NAP (North American PFGE) types: NAP1, 027; NAP4, 020; NAP6, 002; NAP7, 078; and NAP11, 106.

This strain has characteristics of NAP1 (i.e., positive for toxins A and B and C. difficile binary toxin with a 18-bp deletion in tcdC) but does not meet the 80% cutoff for relatedness on PFGE.

This strain has characteristics of NAP7 (i.e., positive for toxins A and B and C. difficile binary toxin with a 39-bp deletion in tcdC) but does not meet the 80% cutoff for relatedness.

§

The strains in the unnamed category include 80 PFGE types that do not fall within NAP1 through NAP12.

DNA from these samples produced no bands on PFGE after three attempts.

DISCUSSION

We estimated that C. difficile caused approximately 453,000 incident infections and was associated with approximately 29,000 deaths in the United States in 2011 on the basis of data from active population- and laboratory-based surveillance across diverse geographic locations in the United States. Persons 65 years of age or older, whites, and females had higher incidences than their comparators. This national estimate of C. difficile infection is higher than previous U.S. estimates (240,000 to 333,000) that relied on passive surveillance, data from health care facilities in a single state, administrative data, or data from managed-care populations in a specific region.2325 However, comparisons with previous estimates are limited by differences in definitions of C. difficile infection and in analytical methods, especially the emergence of NAAT testing.

Only an estimated 24% of cases occurred in hospital settings, leading to an estimate of approximately 107,600 hospital-onset infections nationally. This number is higher than the 80,400 cases of hospital-onset infections that were recently reported from a point-prevalence survey conducted from May 2011 through September 2011 in the 10 EIP sites with the use of similar definitions.9 A possible explanation for this difference is the uptake of molecular testing for C. difficile diagnosis by hospital laboratories during 2011.5,19

According to our estimates, nearly 345,400 cases occurred outside of hospitals, indicating that the prevention of C. difficile infection should go beyond hospital settings. Although 46.2% of those cases were community-associated and by definition had no documented inpatient health care exposure, in a recent study that used the same surveillance program and sites but included earlier years of data, 82% of patients with community-associated C. difficile infection reported during telephone interviews that they had visited outpatient health care settings, such as a doctor’s or dentist’s office, in the 12 weeks before the collection of a C. difficile–positive stool sample.11 Therefore, most patients with C. difficile infection had either inpatient or outpatient health care exposures before disease onset. Finally, our adjusted national rate of community-associated infection of 51.9 per 100,000 population is higher than the rate of 20 to 40 per 100,000 population that was reported from population-based studies outside the United States that were conducted before the introduction of NAAT.26,27 However, it is possible that some of the cases detected by NAAT represent colonization rather than true infection, given that NAAT detects the presence of the organism but not necessarily if it is disease-causing and has high sensitivity.28,29 The rate of asymptomatic colonization in nonhospitalized adults is estimated to be 2%, with a higher rate, up to 26%, in those with health care exposures.3032

Recurrence rates for health care–associated C. difficile infection have been reported to vary from 5% to 50%, with an average of 20%.3335 In our study, at least one recurrence of C. difficile infection occurred in approximately 21% of cases of health care–associated infection and 14% of cases of community-associated infection on the basis of repeated stool testing between 14 and 56 days after the initial C. difficile episode, leading to an estimated burden of 83,000 first recurrent infections. These numbers are worrisome, given challenges in treating recurrent infections and the ongoing risk of transmission when symptoms recur.32,36,37

C. difficile is known to cause severe disease and death.2,3 The estimated total number of deaths within 30 days after the diagnosis of C. difficile infection nationally was 29,300, and the majority of these deaths were among patients with health care–associated infection. This number equated to an observed 30-day crude case fatality rate of 9.3% for patients with health care–associated infection, a rate that is similar to that reported in studies of hospitalized patients with C. difficile infection.3840 Since the mortality that is attributable to C. difficile infection is estimated to be approximately 50% of the crude mortality,38 the total number of deaths in our study that would be attributable to C. difficile infection is about 15,000. The three most common strains we observed in both community-associated and health care–associated infection (NAP1, NAP4, and NAP11) are similar to the strains that have been reported in other countries.41,42 The NAP7 strain has been isolated from food and food animals and represented around 4% of the isolates in our collection; this finding is consistent with the prevalence observed in England (4%), but lower than the 8% prevalence reported from a hospital survey involving 34 European countries.4346

Our analyses have several limitations. First, the case definition relied solely on positive results on C. difficile toxin or molecular assay because diarrhea is usually poorly documented in charts and existing guidelines for laboratory practice recommend C. difficile testing only on unformed stools.47,48 It has been documented that laboratories are adopting stricter policies to reject formed stools when transitioning to NAAT.19 Second, the type of C. difficile diagnostic test that is used has implications for measured disease incidence. Several studies have shown that laboratories transitioning to NAAT are expected to observe an increase in C. difficile incidence, which may partially represent overdiagnosis of C. difficile infection owing to a highly sensitive assay that does not distinguish between colonization and disease.5,6,19,28,29 Our estimates of incidence and disease burden were based on a rate of NAAT use of 52%, which was observed across the EIP sites. Although this rate may not be representative of the rate of NAAT use in the United States, a sensitivity analysis showed how the burden estimate varies on the basis of NAAT use (Fig. S1 in the Supplementary Appendix). Third, since we collected data on rates of recurrence and death in a random sample of cases, these rates may not be representative. In addition, our study underestimates both recurrence and mortality, given that we assessed only first recurrences and deaths that were documented in the medical record. It is likely that a subset of patients had multiple recurrences or died after discharge from the hospital or nursing home. Additional limitations are discussed in the Supplementary Appendix.

Despite these limitations, our national estimates are based on a large, longitudinal, U.S. population–based surveillance for C. difficile infection and on active laboratory case finding by trained personnel. Our results also support the growing evidence that C. difficile is no longer restricted to acute care settings. Thus, in the absence of a vaccine, future efforts to prevent C. difficile will cross health care settings and focus more on appropriate antibiotic use, which has been shown to be successful in decreasing rates of C. difficile infection in England, where a multifaceted program including antimicrobial stewardship was implemented.49 The prevention of C. difficile infection is a U.S. priority, with 2020 national reduction targets being established and all hospitals participating in the Hospital Inpatient Quality Reporting Program of the Centers for Medicare and Medicaid Services, which has reported data regarding C. difficile infection to the National Healthcare Safety Network since 2013.50,51

In conclusion, on the basis of active population- and laboratory-based surveillance across 10 U.S. geographic areas, we estimated that C. difficile caused almost half a million infections in the United States in 2011. An estimated 83,000 of the patients with such infections had at least one recurrence, and approximately 29,000 died within 30 days after the initial diagnosis. Continued surveillance for C. difficile infection will be needed to monitor progress toward prevention.

Supplementary Material

supplementary appendix

Acknowledgments

We thank Joelle Nadle, Erin Garcia, and Erin Parker of the California EIP; Helen Johnston of the Colorado EIP; Carol Lyons of the Connecticut EIP; Leigh Ann Clark, Andrew Revis, Olivia Almendares, Zirka Thompson, and Wendy Baughman of the Georgia EIP; Rebecca Perlmutter of the Maryland EIP; Ruth Lyn-field of the Minnesota EIP; Nicole Kenslow of the New Mexico EIP; Rebecca Tsay and Deborah Nelson of the New York EIP; Valerie Ocampo of the Oregon EIP; Samir Hannah, L. Amanda Ingram, and Brenda Rue of the Tennessee EIP; Susan Sambol and Laurica Petrella of the Hines VA Hospital; and Ashely Paulick, Johannetsy Avillan, Kamile Rasheed, and Lydia Anderson of the CDC.

Supported by the Emerging Infections Program (EIP) Cooperative Agreement between the 10 EIP sites and the CDC.

Footnotes

The views expressed in this article are those of the authors and do not necessarily represent the official position of the CDC.

Disclosure forms provided by the authors are available with the full text of this article at NEJM.org.

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Contributor Information

Fernanda C. Lessa, Centers for Disease Control and Prevention (CDC), National Center for Emerging and Zoonotic Infectious Diseases, Division of Healthcare Quality Promotion, Atlanta

Yi Mu, Centers for Disease Control and Prevention (CDC), National Center for Emerging and Zoonotic Infectious Diseases, Division of Healthcare Quality Promotion, Atlanta

Wendy M. Bamberg, Colorado Department of Public Health and Environment, Denver, Illinois

Zintars G. Beldavs, Oregon Health Authority, Public Health Division, Portland, Illinois

Ghinwa K. Dumyati, University of Rochester Medical Center, Rochester, NY, Illinois

John R. Dunn, Tennessee Department of Health, Nashville, Illinois

Monica M. Farley, Emory University School of Medicine, Department of Medicine, Atlanta Veterans Affairs Medical Center, Atlanta

Stacy M. Holzbauer, CDC Office of Public Health Preparedness and Response, Division of State and Local Readiness, Atlanta, Minnesota Department of Health, St. Paul, Illinois

James I. Meek, Yale School of Public Health, Connecticut Emerging Infections Program, New Haven, Illinois

Erin C. Phipps, University of New Mexico, New Mexico Emerging Infections Program, Albuquerque, Illinois

Lucy E. Wilson, Maryland Department of Health and Mental Hygiene, Baltimore, Illinois

Lisa G. Winston, Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, Illinois

Jessica A. Cohen, Centers for Disease Control and Prevention (CDC), National Center for Emerging and Zoonotic Infectious Diseases, Division of Healthcare Quality Promotion, Atlanta Research and Education Foundation, Atlanta

Brandi M. Limbago, Centers for Disease Control and Prevention (CDC), National Center for Emerging and Zoonotic Infectious Diseases, Division of Healthcare Quality Promotion, Atlanta

Scott K. Fridkin, Centers for Disease Control and Prevention (CDC), National Center for Emerging and Zoonotic Infectious Diseases, Division of Healthcare Quality Promotion, Atlanta

Dale N. Gerding, Department of Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, Edward Hines, Jr., Veterans Affairs Hospital, Hines, Illinois

L. Clifford McDonald, Centers for Disease Control and Prevention (CDC), National Center for Emerging and Zoonotic Infectious Diseases, Division of Healthcare Quality Promotion, Atlanta

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