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Vol. 40. Núm. 3.
Páginas 125-130 (Marzo 2022)
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Vol. 40. Núm. 3.
Páginas 125-130 (Marzo 2022)
Original article
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Epidemiology of Clostridioides difficile infection in hospitalized patients in Spain: An eight-year review (2012–2019)
Epidemiología de la infección por Clostridioides difficile en pacientes hospitalizados en España: análisis de un periodo de ocho años (2012-2019)
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Ángel Asensioa,
Autor para correspondencia
angasenve@gmail.com

Corresponding author.
, Alberto Vallejo-Plazaa, Lina M. Parraa, Rafael Ortí-Lucasb, Inmaculada Salcedoc, Antonio Ramosd, Mireia Canteroa, Grupo de trabajo EPINE e
a Preventive Medicine Department, Puerta de Hierro-Majadahonda University Hospital, Majadahonda, Spain
b Preventive Medicine Department, University Clinical Hospital of Valencia, Valencia, Spain
c Preventive Medicine Department, Reina Sofia Hospital, Cordoba, Spain
d Internal Medicine Department, Infectious Disease Unit, Puerta de Hierro-Majadahonda University Hospital, Majadahonda, Spain
e Sociedad Española de Medicina Preventiva, Salud Pública e Higiene, Spain
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Table 1. Prevalenceb of CDI rates by year, age group and type of infection (nosocomial and community). Period 2012–2019.a
Table 2. Main clinical, and hospital characteristics associated to CDI patients. Period 2012–2019.a
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Abstract
Background

Clostridioides difficile infection (CDI) is a disease that is potentially preventable by vaccination. A good knowledge of its epidemiology, which can change over time, is warranted for prevention purposes and to help decision-making on the use of vaccines in public health programs. The objective of the research was to determine the epidemiology of healthcare-associated CDI (HA-CDI) and community-associated CDI (CA-CDI) in hospitalized patients in Spain using point prevalence data.

Methods

Point prevalence survey data on infections of hospitalized patients for years 2012–2019 were analyzed. HA-CDI and CA-CDI prevalence rates were calculated. Both HA-CDI and CA-CDI, as well as age group prevalence rates, were examined for trends. Patient comorbidities were tested for association to CDI.

Results

The prevalence of CDI in Spanish hospitals has grown exponentially from 14.1% in 2012 to 35.9% in 2019 (cases/10.000 hospitalized patients). Almost two thirds of the cases are of nosocomial onset. This increase was observed for HA-CDI and CA-CDI at an annual rate of 1.11% (CI 95% 1.08–1.15) and 1.09% (CI 95% 1.04–1.13), respectively. Patients 50 years old or older represent 87% of the total number of cases. Patients suffering from neoplasm (OR 1.39), immunodeficiency (OR 3.26), neutropenia (OR 3.70), cirrhosis (OR 1.92) and chronic renal failure (OR 1.91) have a significant increased risk of developing CDI, after adjusting for age.

Conclusion

In Spain, the prevalence rate of both HA-CDI and CA-CDI have been increasing. Burden of CDI as well as clinical and epidemiological characteristics of CDI patients will help to support public health decision-making.

Keywords:
Clostridioides difficile infection
Epidemiology
Vaccination CDI risk factors
Healthcare-associated infection
Community-associated infection
Resumen
Antecedentes

La infección por Clostridioides difficile (ICD) es una enfermedad potencialmente prevenible mediante vacunación. Es necesario conocer adecuadamente su epidemiología para ayudar a la toma de decisiones sobre su prevención y el uso de vacunas en programas de salud pública. El objetivo de esta investigación es determinar la epidemiología de ICD relacionada con la asistencia sanitaria (IRAS-CD) e ICD asociada a la comunidad (IAC-CD) en pacientes hospitalizados en España.

Métodos

Analizamos los datos de encuestas de prevalencia puntual en pacientes hospitalizados durante los años 2012-2019. Calculamos las tasas de prevalencia de IRAS-CD e IAC-CD, y por grupos de edad, examinando sus tendencias. Evaluamos la asociación de ciertas comorbilidades con la ICD.

Resultados

La prevalencia de ICD en hospitales españoles ha crecido exponencialmente desde el 14,1% en 2012 al 35,9% en 2019 (casos/10.000 pacientes hospitalizados). Casi 2/3 de los casos son de inicio nosocomial. Este aumento se ha observado en IRAS-CD (1,11%; IC 95%: 1,08-1,15) e IAC-CD (1,09%; IC 95%: 1,04-1,13). Los pacientes de 50 años o más representan el 87% del total de casos. Los pacientes con neoplasia (OR: 1,39), inmunodeficiencia (OR: 3,26), neutropenia (OR: 3,70), cirrosis (OR: 1,92) e insuficiencia renal crónica (OR: 1,91) tienen un riesgo significativamente mayor de desarrollar ICD tras ajustar por edad.

Conclusión

En España la tasa de prevalencia de IRAS-CD e IAC-CD ha ido en aumento. Conocer la carga de la ICD y las características clínicas y epidemiológicas de los pacientes con ICD ayudará a la toma de decisiones en salud pública.

Palabras clave:
Infección por Clostridioides difficile
Epidemiología
Factores de riesgo de vacunación
Infección relacionada con la asistencia sanitaria
Infección asociada a la comunidad
Texto completo
Introduction

Clostridioides difficile is the most frequent cause of healthcare-associated infectious diarrhea in Spain and other industrialized countries.1 The spectrum of C. difficile infection (CDI) ranges from mild diarrhea to severe life-threatening colon infection and sepsis due to megacolon. In Europe, it is estimated that it causes 152,905 healthcare-associated CDI (HA-CDI) cases annually.2C. difficile is the 8th most frequently detected microorganism among healthcare-associated infections (HAIs) across Europe and the number of deaths occurring as a direct consequence of HA-CDI can be estimated at 3700 per year in the European Union and European Economic Area (EU/EEA).3

On January 2016, the ECDC (European Centre for Disease Prevention and Control) launched a hospital-based surveillance system of CDI in EU/EEA member states, using a common European protocol to estimate the incidence, describe the epidemiology, and assess the burden and adverse outcomes of CDIs by providing participating hospitals with a standardized protocol in order to obtain homogeneous measurement and comparability among hospitals.4

The Estudio de Prevalencia de las Infecciones Nosocomiales (EPINE) is a series of annual prevalence studies of infections—both healthcare-associated and community-onset—in hospitalized patients developed in Spain since 1990. In 2012 the protocol was updated to share the same characteristics regarding HAIs as the European ECDC Point Prevalence Survey. The EPINE database is a comprehensive and reliable source of information, following a standardized methodology compatible with infection surveillance definitions, able to identify trends and characteristics of infections in hospitalized population in Spain.

Three C. difficile vaccines are currently in phase III trials worldwide.5–7 To enable decision-making on the potential use of these vaccines in public health programs, the national epidemiology of the disease is a critical factor.

The objectives of this study were to determine the prevalence of both HA-CDI and community-associated CDI (CA-CDI) in hospitalized patients in Spain, as well as to identify seasonal trends and associated characteristic of the patients during the 2012–2019 period.

Methods

Data were extracted from the EPINE database. EPINE is a point prevalence survey (PPS) that collects information on infections and antimicrobial use on hospitalized patients in Spain. The EPINE working group is organized by the Sociedad Española de Medicina Preventiva Salud Pública e Higiene, and it is currently recognized by the Ministry of Health as an official surveillance system for infections in hospitalized patients. Since 2012, it is based on the PPS conducted by the ECDC every 5 years.8 Additionally, EPINE includes information on community infections and additional risk factors. In brief, acute care hospitals adhere to surveillance on a voluntary or compulsory basis, depending on the autonomous health authorities. All inpatients in a single day are recruited by trained investigators. Data collection includes hospital, ward, patient, use of antimicrobials, and infections data. These data are sent to a coordinating center for processing and analysis, and the generated reports are sent to hospitals and National Health authorities.

All patients recorded on the survey during the 2012–2019 period were included (465,620 patients, with an average of 58,203 patients per year). A total of 380 hospitals participated in the survey, with an average of 292 hospitals per year. CDI diagnosis relies on ECDC case-definitions, which include: (a) diarrheal stools or toxic megacolon and a positive laboratory assay for C. difficile toxin A and/or B in stools, or a toxin-producing C. difficile organism detected in stool via culture or other means e.g. a positive PCR result; or (b) pseudomembranous colitis revealed by lower gastro-intestinal endoscopy; or (c) colonic histopathology characteristic of C. difficile infection (with or without diarrhea) on a specimen obtained during endoscopy, colectomy or autopsy. HA-CDI included infections with onset of signs and symptoms on day 3 or later following admission; or onset in the community within four weeks of discharge from a healthcare facility. CA-CDI included infections that did not meet HA-CDI criteria, and those of unknown origin. The methodology of the survey was similar to that stated by ECDC for point prevalence surveys (PPS).8,9 Hospitals were not randomly chosen, they participated on a voluntary basis and they represented above 50% of the Spanish acute care hospitalized patients on any given day.

In addition to HAI, the patient form included community-onset CDI, as well as demographic data (age and gender), information on underlying clinical conditions such as diabetes mellitus, renal failure, malignant neoplasm, chronic lung disease, immunosuppression, neutropenia, chronic wounds, cirrhosis and hypoalbuminemia, and co-morbidity score (McCabe-Jackson). In addition, hospital characteristics such as type (primary, secondary and tertiary) and size, according to the number of beds (small: less than 200 beds; medium: 200–500 beds; large: more than 500 beds) are reported. Hospital and patient forms were recorded electronically in a web-based system (www.epine.es) and sent to an independent central analysis unit for further validation and analysis. A hospital report was sent back to every participating hospital to avoid possible disagreements before final integration of the collected results in a centralized database.

Prevalence rates were expressed as the number of patients with CDI per 10,000 hospitalized patients. We focused our analysis on the 2012–2019 period, for which secular trends were evaluated by logistic regression. However, for a broader description of the annual prevalence, historical available data on CDI prevalence of further past years (1999–2011), as well as trend and exponential adjustment, were also included.

We described the main characteristics of the patients with C. difficile infection, according to type of facilities, clinical conditions, exposures, and demographic features. These characteristics were compared in the patients with CDI versus the rest of the patients. To study the association of the clinical-demographic variables with the prevalence of CDI, the prevalence odds ratio (OR), both crude and adjusted by age, and their 95% intervals, were estimated using logistic regression.

Differences in mean age were compared using Student's t-test. The chi-square test was used to compare the proportions of use of invasive devices.

The incidence of the disease (Incidence density ID, number of cases for patient-days of hospitalization) in the hospitalized population was estimated from prevalence data by the relationship ID=P/d10; P being prevalence of CDI, and d the estimated duration of CDI infection in Spain.11,12

Results

From 2012 to 2019, the CDI prevalence (cases per 10.000 hospitalized patients) increased at an annual rate of 11% (OR 1.11; CI 95% 1.08–1.13) and the significant increase on CDI prevalence was also seen for all age groups [Table 1].

Table 1.

Prevalenceb of CDI rates by year, age group and type of infection (nosocomial and community). Period 2012–2019.a

Age group  2012  2013  2014  2015  2016  2017  2018  2019  2012–19  Odds ratio
                    CI 95%  p-value 
CDI by year; total
Healthcare associated infection1.11 (1.08–1.15)<0.001
Cases  48  66  103  137  91  111  142  152  850 
HA prevalenceb  8.89  11.74  18.42  23.82  15.26  17.97  23.50  25.25  18.26 
Community-acquired infection1.09 (1.04–1.13)<0.001
Cases  28  38  47  58  69  59  67  64  430 
CA prevalenceb  5.19  6.76  8.41  10.08  11.57  9.55  11.09  10.63  9.23 
Total1.11 (1.08–1.13)<0.001
Cases  76  104  150  195  160  170  209  216  1280 
Total prevalenceb  14.08  18.50  26.83  33.90  26.83  27.52  34.58  35.89  27.49 
Total patients  53,976  56,203  55,903  57,514  59,626  61,772  60,437  60,189  465,620 
CDI by year; age<18 years
Healthcare associated infection cases  32  1.23 (1.04–1.45)0.013
HA prevalenceb  2.17  4.41  6.45  10.12  6.25  8.08  13.92  15.05  8.38 
Community-acquired infection cases  11  0.98 (0.76–1.27)0.894
CA prevalenceb  2.17  0.00  6.45  6.07  0.00  2.02  5.97  0.00  2.88 
Total cases  10  43  1.16 (1.01–1.33)  0.036 
Total prevalenceb  4.33  4.41  12.91  16.19  6.25  10.10  19.88  15.05  11.27     
Total patients  4615  4536  4648  4940  4800  4949  5029  4651  38,168     
CDI by year; age 18–49 years
Healthcare associated infection cases  10  15  10  19  74  1.20 (1.08–1.33)0.001
HA prevalenceb  1.84  0.88  9.11  13.71  7.29  8.78  17.33  8.39  8.39 
Community-acquired infection cases  12  46  1.19 (1.04–1.35)0.012
CA prevalenceb  2.76  2.65  3.65  2.74  8.20  5.27  10.94  5.60  5.22 
Total cases  14  18  17  16  31  15  120  1.19 (1.10–1.29)<0.001
Total prevalenceb  4.60  3.53  12.76  16.45  15.49  14.04  28.27  13.99  13.61 
Total patients  10,864  11,328  10,973  10,942  10,974  11,393  10,964  10,722  88,160 
CDI by year; age 50–64 years
Healthcare associated infection cases  10  11  18  29  16  19  28  34  165  1.13 (1.05–1.21)0.001
HA prevalenceb  10.21  10.55  17.32  27.47  13.96  16.04  24.09  29.02  18.79 
Community-acquired infection cases  14  17  11  66  1.11 (1.00–1.24)0.055
CA prevalenceb  0.00  7.67  6.74  5.68  12.22  14.35  2.58  9.39  7.52 
Total cases  10  19  25  35  30  36  31  45  231  1.12 (1.06–1.19)<0.001
Total prevalenceb  10.21  18.23  24.06  33.15  26.18  30.39  26.67  38.41  26.30 
Total patients  9799  10,424  10,392  10,557  11,461  11,847  11,625  11,717  87,822 
CDI by year; age 65–79 years
Healthcare associated infection cases  21  27  42  44  33  33  38  48  286  1.06 (1.01–1.11)0.029
HA prevalenceb  12.84  16.05  25.17  26.02  18.97  18.52  21.76  26.90  20.83 
Community-acquired infection cases  10  13  18  12  17  18  17  19  124  1.06 (0.98–1.14)0.157
CA prevalenceb  6.11  7.73  10.79  7.10  9.77  10.10  9.74  10.65  9.03 
Total cases  31  40  60  56  50  51  55  67  410  1.06 (1.01–1.11)0.009
Total prevalenceb  18.95  23.78  35.96  33.12  28.75  28.61  31.50  37.55  29.86 
Total patients  16,355  16,824  16,687  16,910  17,392  17,823  17,460  17,842  137,293 
CDI by year; age80 years
Healthcare associated infection cases  14  25  30  44  31  45  50  54  293  1.12 (1.06–1.18)<0.001
HA prevalenceb  11.34  19.10  22.72  31.06  20.67  28.55  32.56  35.40  25.66 
Community-acquired infection cases  14  14  15  34  29  17  32  28  183  1.07 (1.00–1.14)0.042
CA prevalenceb  11.34  10.69  11.36  24.00  19.33  10.79  20.84  18.36  16.03 
Total cases  28  39  45  78  60  62  82  82  476  1.10 (1.06–1.15)<0.001
Total prevalenceb  22.68  29.79  34.08  55.07  40.00  39.34  53.41  53.76  41.69 
Total patients  12,343  13,091  13,203  14,165  14,999  15,760  15,354  15,254  114,169     

Source: EPINE 2012–2019.

a

CDI: Clostridioides difficile infection. HA: healthcare associated infection. CA: community-acquired infection.

b

Prevalence calculated as number of cases per 10,000 hospitalized patients.

Furthermore, CDI prevalence also increased exponentially in hospitalized patients in Spain from 1999 (3.9%) to 2019 (35.9%) [Fig. 1].

Fig. 1.

Prevalence of CDI rates by year, and type of infection (nosocomial and community-onset). Period 1999–2019. Note. Overall Clostridioides difficile infections trend expressed as an exponential equation, y=5E90e0.1037x; R2=0.9304.

(0,15MB).

Regarding the origin of CDI, both HA-CDI (OR 1.11; CI 95% 1.08–1.15), and CA-CDI (OR 1.09; CI 95% 1.04–1.13) increased during the period (2012–2019). This statistically significant increase was observed for all age groups in HA-CDI, but it was only observed for CA-CDI in the 18–49-years (p-value 0.012) and ≥80-years (p-value 0.042) groups [Table 1]. Overall, CDI prevalence rate by age, excluding neonates, depicts a classical J-type curve, being the lowest for the 30–39 years-old group (10.4%) and increasing to 47.3% for the group of more than 85-years old. Most of the cases (87%) were in patients of 50-years old and older [Fig. 2].

Fig. 2.

Prevalence of CDI rates and total number of cases by age group. Period 2012–2019.

(0,13MB).

We found significant differences in relation to the age of patients with CDI (69.5; median 75; IQR 61–83) and patients without CDI (60.4; median 67; IQR 47–79). No differences were found in relation to sex. Many clinical characteristics of the patients were associated to CDI: comorbidities such as renal failure (OR 2.4), diabetes mellitus (OR 1.3), neoplasms (OR 1.5), immunodeficiency (OR 3.1), cirrhosis (1.9) and chronic wounds (OR 2.8); as well as clinical parameters like neutropenia (OR 3.3) and hypoalbuminemia (OR 3.8). For patients with COPD, no statistically significant association was found, the OR being 1.12 (p=0.143). Ultimately (OR 2.1), and rapidly fatal (OR 2.3) basal prognosis of the patient, measured by McCabe-Jackson score, was also associated to CDI. When adjusting by age, no statistically significant results were obtained for patients with diabetes (OR 1.06; p=0.388) and COPD (OR 0.92; p=0.270). For the rest of the comorbidities and characteristics studied, significant results were obtained (p<0.001). Hospitals with more than 500 beds (OR 1.5), as well as tertiary care hospitals (OR 1.3) were statistically associated to a higher CDI prevalence of CDI, but no age adjustment analysis was performed. As for invasive devices, the differences found between the groups with and without infection were analyzed, these being statistically significant in the case of central venous catheter and urethral catheter (p<0.001); but not in the case of the peripheral venous catheter (p=0.170) and intubation (0.606) [Table 2].

Table 2.

Main clinical, and hospital characteristics associated to CDI patients. Period 2012–2019.a

  CDI patients (n=1280)  Non-CDI patients (n=464,340)  Odds ratio (crude)  p-value  Odds ratio (adjusted by age)  p-value 
Age (median, IQR)  69.5 (75; 61–83)  60.4 (67; 47–79)  1.02 (1.02–1.02)  <0.001  –  – 
Sex (male)  631 (49.4%)  240,394 (51.8%)  0.91 (0.81–1.01)  0.081  –  – 
Renal failure  358 (29.2%)  65,637 (14.8%)  2.38 (2.11–2.69)  <0.001  1.91 (1.68–2.18)  <0.001 
Diabetes  374 (30.4%)  110,767 (24.9%)  1.32 (1.17–1.49)  <0.001  1.06 (0.93–1.20)  0.388 
Neoplasms  360 (29.5%)  94,761 (21.4%)  1.54 (1.36–1.74)  <0.001  1.39 (1.23–1.58)  <0.001 
COPD  189 (15.5%)  61,863 (14.0%)  1.12 (0.96–1.31)  0.143  0.92 (0.78–1.07)  0.270 
Immunodeficiency  182 (14.9%)  23,958 (5.4%)  3.06 (2.62–3.59)  <0.001  3.26 (2.78–3.82)  <0.001 
Neutropenia  82 (6.7%)  9182 (2.1%)  3.34 (2.70–4.23)  <0.001  3.70 (2.95–4.64)  <0.001 
Hypoalbuminemia  383 (35.1%)  45,216 (12.4%)  3.83 (3.38–4.34)  <0.001  3.32 (2.92–3.78)  <0.001 
Cirrhosis  57 (4.7%)  11,021 (2.5%)  1.92 (1.47–2.51)  <0.001  1.92 (1.47–2.51)  <0.001 
Chronic wounds  166 (13.5%)  23,292 (5.3%)  2.82 (2.39–3.32)  <0.001  2.27 (1.92–2.68)  <0.001 
McCabe Score
Non-fatal  722 (56.4%)  341,421 (73.7%)  Reference    Reference   
Ultimately fatal  412 (32.2%)  92,216 (19.9%)  2.11 (1.87–2.39)  <0.001  1.76 (1.55–1.99)  <0.001 
Rapidly fatal  146 (11.4%)  29,700 (6.4%)  2.33 (1.95–2.78)  <0.001  1.91 (1.56–2.29)  <0.001 
PVC  929 (73.0%)  329,549 (71.2%)  –  0.170  –  – 
CVC  288 (22.6%)  49,242 (10.7%)  –  <0.001  –  – 
Urethral catheter  352 (27.6%)  88,446 (19.1%)  –  <0.001  –  – 
Intubation  33 (2.6%)  10,975 (2.4%)  –  0.606  –  – 
Hospital type
Primary  102 (8.5%)  43,217 (10.1%)  Reference    –  – 
Secondary  334 (27.9%)  132,784 (31.0%)  1.07 (0.85–1.33)  0.574  –  – 
Tertiary  721 (60.3%)  237,587 (55.5%)  1.29 (1.05–1.58)  0.018  –  – 
Specialized  38 (3.2%)  14,146 (3.3%)  1.14 (0.78–1.65)  0.496  –  – 
Hospital size
<200 beds  185 (15.1%)  85,718 (19.2%)  Reference    –  – 
201–500 beds  359 (29.2%)  147,058 (33.0%)  1.13 (0.95–1.35)  0.174  –  – 
<500 beds  684 (55.7%)  213,080 (47.8%)  1.49 (1.26–1.75)  <0.001  –  – 

Source: EPINE 2012–2019.

a

CDI: Clostridioides difficile infection. PVC: peripheral venous catheter. CVC: central venous catheter.

Length of hospital stay before HA-CDI averaged 26.2 days (median 16 days; IQR 9–33 days).

To calculate the incidence density of the disease in hospitalized patients (as number of cases of CDI per hospital patient-days), we used different estimates of the length of stay attributable to CDI: the interval 7.6–20.0 days includes every estimate utilized.11,12

For the entire period of study, we estimated 1.4–3.6 cases per 10,000 patient-days. In 2019, our estimation peaked at 1.8–4.7 cases per 10,000 patient-days.

Discussion

This study illustrates a remarkable rise in the prevalence of CDI in Spain in recent years and its association with conditions such as renal failure, cancer, diabetes, immunodeficiency, or liver cirrhosis.

During the last 21 years, the prevalence of CDI cases in Spanish hospitals has grown exponentially, and by 2019 reached a peak (prevalence of 35.9 cases per 10.000 hospitalized patients), with an incidence density of 1.8–4.7 cases per 10,000 patient-days. This increase in both types of infections (HA-CDI and CA-CDI) (OR 1.11, p<0.001) could be explained by the growing use of broad-spectrum antimicrobials in Spanish hospitals, as well as the older age, prevalence of risk factors among the hospitalized population during the period of study,13 and in part by the increase in the diagnosis related to a better awareness of the disease.

We compared our results to other European estimates of CDI. Between 2011 and 2013, Davies et al., in a prospective multicenter European study, described an incidence density of 3.2–3.5 in Spain, which is within our estimates.14 However, they estimated the actual incidence density rate to be much greater, up to 9.8–11 cases per 10,000 patient-days. According to their discussion, they hypothesized that a large number of European hospitals underdiagnose CDI, possibly in up to 40,000 patients per year due to insufficient testing. In their retrospective, observational study using Spanish National Hospital Discharge Database data, Esteban-Vasallo et al. offer estimates of incidence per population which are not directly comparable to our data. However, their reported trends, with the incidence rate increasing from 7.8 cases per 100.000 population in 2010–2012 to 13.0 cases per 100.000 population in 2013–2015, are comparable to our reported increase in prevalence.15 Similarly, Soler et al.16 and Marco-Martínez et al.17 reported an incidence of 4.1 and 22 cases per 10.000 hospital discharges in 1997–2005 and 2005–2010, respectively, which also pose comparison problems. However, both studies support the suspected increase in CDI cases in periods prior to our studies with statistical significance.

An unsteady climbing of prevalence for years 2014 and 2015 is noticeable. This result can be attributed to the use of more sensitive diagnostic tests in all Microbiology laboratories in Spain. Thus, the proportion of Microbiology laboratories that used very sensitive tests ranged from 15.3% in 2008 to 57.3% in 2013.18 In addition, a high increase during the 2014–2015 period was observed in the Madrid region (data not shown). A large hospital in Madrid was experiencing a large outbreak by the 027 ribotype strain.19

Almost two thirds of the cases were of nosocomial onset. These HA-CDI number of cases consistently increased in all age groups during the last 8-year period (11.4% annually).

The prevalence of community-acquired CDI also increased during the period but at a lower annual rate (8.7%). However, this increase was not significant for some age groups, probably due to the scarce number of cases included in these age groups.

In general, the prevalence rate depicts a J-shaped format and CDI prevalence increased almost linearly from 30–39 to >90 years old groups. However, the prevalence of CDI was low in neonates, related to this singular age category of patients, known to be partially protected against CDI.20 CDI cases in patients of 50 years-old or older represented 87% of the total number of cases.

Several comorbidities were found to be associated to higher rates of CDI. In the case of renal failure and chronic wounds, this association has been reported in previous studies.17 Notably, most of these comorbidities associated to higher rates of CDI infection also correlated to poor response to active immunizations. Oncological, immunosuppressed, neutropenic, and cirrhotic patients, known to have in different degrees a poorer response to active immunizations, had a significant increased risk of developing CDI. Patients with chronic wounds were also more prone to develop CDI (OR 2.8) but this condition could also be correlated with other comorbidities already recognized as risk factors. All these factors should be taken into account in order to define risk categories for efficient patient vaccination.

The length of stay was revealed as a prominent feature of HA-CDI cases since average and median length of stay from admission to date of HA-CDI onset amounted 26.2 and 16 days, respectively, much longer than average total length of hospital stay (8.3 days) in Spanish hospitals,21 and comparable to the 21 average days estimated by Esteban-Vasallo et al. in secondary diagnosis cases of CDI.15

Hospital size and level of care were strongly correlated. Largest hospitals and third care institutions tend to attend more complicated patients, with enhanced length of hospitalization and more intensive and broader spectrum use of antimicrobials; characteristics frequently described as risk factors and determinants for CDI development.

There are several limitations to consider. Firstly, the scope of the study is limited to the epidemiology of hospitalized CDI cases. This study does not reveal information from non-hospitalized patients. Nevertheless, non-hospitalized cases account for a minor impact in health and social costs. Furthermore, given the small number of cases for some age categories, we were limited in the analyses that could be performed. Being a cross-sectional series, the incidence was not directly computable. Incidence estimates was obtained by indirect calculations based on attributable length of stay.

The variability of the participating centers each year could represent an important limitation. However, we found that 74% of hospitals participated at least during 5 years of the survey, contributing to 94% of the total of patients in the sample. This indicates that year-to-year variability in participating hospitals occurred mainly in small hospitals. Although the participation of hospitals is not random, the large size of the study population, which represents more than 50% of the population hospitalized in Spain in one day does not seem to seriously compromise the generalization of the results.

Optimally, stratified analyses, such as prevalence rates by age strata, underlying medical conditions and sex, are performed to determine high-risk populations and to provide useful information for cost-effective analyses that could support future CDI vaccine decision-making processes. Unfortunately, these comparisons and analyses could not be performed completely due to the scarce number of cases detected.

It should also be noted that the data retrieved from hospitals did not include laboratory-linked strain data for CDI cases. This is a major limitation and prevents the monitoring of ecological trends over time with varied CDI strain types. Although some potential vaccines are currently undergoing clinical trials, it is not yet known how broadly protective these candidate vaccines will be against the different C. difficile strains and which of them will escape from being detected by traditional strategy.

This research depicts the burden of the disease in Spanish hospitals and the increasing trend in the prevalence of CDI and should help to develop further strategies for the prevention of the disease. Given the importance of age, comorbidities, and length of hospital stay as associated factors to the development of CDI, any vaccination program aiming at the prevention of CDI should incorporate, as it is stated for influenza vaccination, age threshold and/or the presence of comorbidities as characteristics defining target groups for vaccination.

Ethical approval

The study was approved by the Ethical committee of the Puerta de Hierro-Majadahonda Hospital.

Funding

This research has not received specific aid from agencies of the public sector, commercial sector, or non-profit entities.

Conflict of interest

None declared.

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