Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-22T20:05:33.220Z Has data issue: false hasContentIssue false

An 8-year point-prevalence surveillance of healthcare-associated infections and antimicrobial use in a tertiary care teaching hospital in China

Published online by Cambridge University Press:  25 October 2018

Yi-Le Wu
Affiliation:
Department of Hospital Infection Prevention and Control, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui, China
Xi-Yao Yang*
Affiliation:
Department of Hospital Infection Prevention and Control, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui, China
Meng-Shu Pan
Affiliation:
Department of Hospital Infection Prevention and Control, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui, China
Ruo-Jie Li
Affiliation:
Department of Hospital Infection Prevention and Control, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui, China
Xiao-Qian Hu
Affiliation:
Department of Hospital Infection Prevention and Control, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui, China
Jing-Jing Zhang
Affiliation:
Department of Hospital Infection Prevention and Control, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui, China
Li-Qi Yang
Affiliation:
Department of Hospital Infection Prevention and Control, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui, China
*
Author for correspondence: Xi-Yao Yang, E-mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Healthcare-associated infections (HAIs) are a major worldwide public-health problem, but less data are available on the long-term trends of HAIs and antimicrobial use in Eastern China. This study describes the prevalence and long-term trends of HAIs and antimicrobial use in a tertiary care teaching hospital in Hefei, Anhui, China from 2010 to 2017 based on annual point-prevalence surveys. A total of 12 505 inpatients were included; 600 HAIs were recorded in 533 patients, with an overall prevalence of 4.26% and a frequency of 4.80%. No evidence was found for an increasing or decreasing trend in prevalence of HAI over 8 years (trend χ2 = 2.15, P = 0.143). However, significant differences in prevalence of HAI were evident between the surveys (χ2 = 21.14, P < 0.001). The intensive care unit had the highest frequency of HAIs (24.36%) and respiratory tract infections accounted for 62.50% of all cases; Escherichia coli was the most common pathogen (16.67%). A 44.13% prevalence of antimicrobial use with a gradually decreasing trend over time was recorded. More attention should be paid to potential high-risk clinical departments and HAI types with further enhancement of rational antimicrobial use.

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2018

Introduction

Healthcare-associated infections (HAIs) have become a major public-health problem around the world, being associated with increased morbidity, hospital stay, long-term disability, antimicrobial resistance and healthcare costs [1, Reference Zimlichman2]. Prevalence surveys are important methods for evaluating infection control efforts and have been widely used to determine the range of HAIs and antimicrobial use in hospitals. For example, a recent multistate point-prevalence survey in the USA reported a rate of 4.0% HAIs among inpatients in acute care hospitals [Reference Magill3], and rates of 4%–9% have been recorded in similar European surveys [Reference Roche, Donlon and Burns4Reference Kritsotakis7]. Similarly in Southeast Asia, a pooled study reported a 9.0% overall prevalence of HAI [Reference Ling, Apisarnthanarak and Madriaga8], and in China, a multi-centre survey found a 3.7% prevalence of HAI [Reference Li9].

Inappropriate use of antimicrobials has often been noted to be an important contributing factor for the increase of HAIs, particularly those associated with resistant strains caused by overuse of antimicrobial drugs [Reference Collignon10]. Surveillance data published by the European Centre for Disease Prevention and Control (ECDC) underline the fact that therapeutic options are becoming increasingly limited in several countries with high levels of multidrug resistance [Reference Weist and Högberg11]. It is therefore important to understand the status and reasons of antimicrobial use for accurate intervention.

Periodical hospital-wide point-prevalence surveys have been shown to be effective to gather data on the extent and trends of HAIs and antimicrobial use, which can help policy makers and hospital infection control personnel to establish appropriate targets and prevention strategies [Reference Llata, Gaynes and Fridkin12, Reference Valinteliene, Gailiene and Berzanskyte13]. Such surveys are performed annually in our hospital, to estimate the overall prevalence and characteristics of HAIs and antimicrobial use. There are less data concerning long-term trends of HAIs and antimicrobial usage in Eastern China, and these issues are addressed in the current study.

Methods

Study design and setting

A 1-day point-prevalence survey was performed annually between June and December from 2010 to 2017 in the Second Affiliated Hospital of Anhui Medical University which was opened in 2008. It is a tertiary care hospital with 2031 beds and had 70 968 patient admissions in 2017. It was accredited as an Academic Medical Centre Hospital by Joint Commission International (JCI) in January 2017. Clinical wards in this study were divided into the following eight groups: intensive care unit (ICU), departments of haematology, paediatrics and neonatology, oncology, internal medicine, surgery, gynaecology and obstetrics and others (consisting of dermatology, radiotherapy, invasive technology, rehabilitation and traditional Chinese medicine).

Participants and HAI definitions

All inpatients including those who were discharged or had died in the hospital on the days of surveys were eligible for enrolment; outpatients and newly admitted patients were excluded from the study. HAIs were defined according to Diagnostic Criteria for Nosocomial Infection issued by the original Ministry of Health of the People's Republic of China (MHPRC) [14], adapted from the Centre for Disease Control and Prevention (CDC) [Reference Garner15]. Differences between MHPRC definitions and CDC definitions are shown in Table S1. Despite some differences between these criteria, the major infection types are broadly similar except for the category of lower respiratory tract infections (LRTIs) which by MHPRC includes the CDC categories of ‘pneumonias’ and ‘LRTIs other than pneumonias’ [Reference Xie16]. Likewise, patients aged <12 months are classified as a separate group by CDC definitions, but are included in the overall population by MHPRC, except for cardiovascular and central nervous system infections. In this study, HAIs were defined as being acquired more than 48 h after admission, but also included those acquired within 48 h of admission if there was a clear incubation period according to the definitions. Infections were classified as upper or lower respiratory tract infection (URTI/LRTI), gastrointestinal infection (GI), urinary tract infection (UTI), surgical site infection (SSI), skin and soft tissue infection (SSTI), bloodstream infection (BSI) and ‘others’.

Training and data collection

A team in the Department of Hospital Infection Prevention and Control (HIPC) consisting of a microbiologist, epidemiologist, nurse, clinician and public-health physician took charge of survey design, staff training and data collection; the latter was performed by the team and HPIC part-time duty staff in each ward trained in the importance of data completeness and accuracy. Standardised survey questionnaire forms were completed by reviewing medical records and laboratory reports and visiting patients. Questionnaires were completed manually from 2010 to 2012 and subsequently through the hospital electronic information system from 2013 to 2017. The key variables of the survey questionnaire are shown in Table S2. Primary information collected included demographic and clinical data, HAI status, infection sites, microbiological cultures and antimicrobial use for all participants. Data completeness was checked by senior HIPC staff.

Statistical analysis

The point-prevalence data were presented as the number of patients with at least one HAI or receiving at least one antimicrobial agent per 100 observed patients. The percentage frequencies of overall and specific HAIs were calculated according to the total number of patients and separately for individual clinical departments. Trends of HAIs and antimicrobial use over years were tested using the Mantel–Haenszel trend chi-square (χ 2) test, and differences between the annual surveys were compared by the χ 2 test. Statistical analyses were conducted by using the Statistical Package for the Social Sciences for Windows Version 13.0 (SPSS Inc., Chicago, IL, USA). All tests were two-tailed and P values <0.05 were considered as statistically significant.

Results

Table 1 shows a total of 12 505 patients in the eight annual surveys from 2010 to 2017, in 2-year groups. Of these, 6904 (55.20%) were male and ages of all patients ranged from 2 days to 99 years. There were 600 HAIs identified in 533 patients with an overall prevalence of 4.26% (range: 3.03%–5.04%) and a frequency of 4.80% (range: 3.28%–5.64%). There was no evidence for an increasing or decreasing trend in prevalence over the study period (trend χ 2 = 2.15, P = 0.143; Figure S1). However, a significant difference in HAI prevalence was evident between the surveys (χ 2 = 21.14, P < 0.001). LRTIs were the most frequent (241 cases; 40.17% (relative proportions)), followed by URTIs (134 cases; 22.33%). Other infection sites each accounted for <10% of cases with GIs accounting for 58 cases (9.67%), UTIs for 38 cases (6.33%), SSTIs for 34 cases (5.67%), BSIs for 32 cases (5.33%) and SSIs for 20 cases (3.33%); with ‘other’ types identified in 7.17%. Notably, the relative proportion of BSIs significantly increased over the study period from zero to 5.96% (trend χ 2 = 6.94, P = 0.008) while SSIs declined markedly from 7.69% to 0.92% (trend χ 2 = 13.21, P < 0.001). ICU had the highest frequency of HAIs (24.36%) and some departments such as haematology (18.33%), paediatrics and neonatology (8.26%) and oncology (6.12%) had higher frequencies than the overall mean HAI frequency (Table 2).

Table 1. Prevalence and distribution of HAIs in a university hospital in Anhui, China, 2010–2017

Table 2. Distribution of HAIs in clinical wards in a university hospital in Anhui, China, 2010–2017

Positive cultures of pathogens were obtained from 174 (29.0%) of HAIs. Gram-negative species predominated (64.37%), with Escherichia coli (16.67%), Pseudomonas aeruginosa (12.64%) and Klebsiella pneumoniae (11.49%) being the most common (Table 3). Gram-positive species collectively accounted for 18.39% with Staphylococcus aureus (7.47%) being the most frequent. Candida albicans (6.32%) was the most common yeast species identified.

Table 3. Distribution of HAIs pathogens in a university hospital in Anhui, China, 2010–2017

In total, 5519 patients received one or more antimicrobial agents at the time of surveys, giving an overall prevalence of 44.13% which declined significantly over the study period from 53.60% to 40.95% (trend χ 2 = 91.59, P < 0.001) (Table 4). Among patients who received antimicrobial agents, 61.08% were classed as for treatment, 24.81% for prophylaxis and the remainder (14.11%) for both purposes. Meanwhile, the relative proportion of therapeutic use of antibiotics also markedly increased from 43.50% to 63.93% over the years (trend χ 2 = 83.83, P < 0.001). A single antibiotic was prescribed for 4069 patients (73.73%), two for 1271 patients (23.03%) and three or more for 179 patients (3.24%). Likewise, the relative proportion of monotherapy increased significantly from 65.55% to 72.33% (trend χ 2 = 87.06, P < 0.001).

Table 4. Antimicrobial use in a university hospital in Anhui, China, 2010–2017

Discussion

This study is one of the longest duration prevalence surveys of trends and characteristics of HAIs, and antimicrobial use over time in China. Our results showed an overall 4.26% prevalence of HAI among 12 505 inpatients over an 8-year period. This rate was slightly higher than 3.9% found in 13 tertiary care hospitals in Hubei, China [Reference Xie16] and 3.7% in 54 tertiary care hospitals in different parts of China [Reference Chen17] and 4.0% in 183 hospitals in the USA [Reference Magill3], but was lower than previous surveys from other countries (4.6%–11.9%) [Reference Kritsotakis7, Reference Cai18Reference Zarb21]. However, it is difficult to draw firm conclusions on the relative prevalence ranking of HAI through comparison within and between countries due to the confounding effect of differences in surveillance methods, case definitions and hospitals’ characteristics [Reference Xie16]. Although no significant increasing or decreasing trend in HAI prevalence was detected, a substantially lower prevalence (3.03%) was notable in 2012–2013. This was possibly due to the benefit of implementing multiple infection control measures including an improvement of hand hygiene facilities in clinical areas, the establishment of electronic surveillance system of infections, and effects of rewards and punishments in infection prevention and control in our hospital during that period. However, the greatest challenge was the gradually increasing number of inpatients, and so the HIPC department needed to prioritise measures to block the transmission of bacteria through optimal hand hygiene by staff, efficient environmental cleaning and disinfection and contact isolation of infected patients.

In line with previous studies [Reference Zarb21Reference Kumar25], the ICU had the highest frequency of HAIs than other departments, most likely due to disease severity and widespread use of invasive procedures thus increasing the susceptibility of patients to infection. Of note, the distribution of most HAI types was quite different from previous surveys from China, ECDC and USA [Reference Magill3, Reference Chen17, Reference Zarb21] as LRTIs and URTIs accounted for approximately two-thirds of HAIs in this study. Given that the MHPRC definition of LRTIs includes the CDC categories of ‘pneumonias’ and ‘LRTIs’, the combined relative proportion of such categories in studies from ECDC and USA were compared with findings in this study. We found that the relative proportion of LRTIs (40.2%) was higher than that from ECDC (25.7%) and USA (25.8%) [Reference Magill3, Reference Zarb21]. Likewise, our rate for GIs (9.7%) was markedly lower than that reported from the USA (17.1%) [Reference Magill3], but higher than ECDC (7.8%) and China (2.8%) [Reference Chen17, Reference Zarb21]. We also recorded a much lower prevalence of SSIs and UTIs than from all the above studies [Reference Magill3, Reference Chen17, Reference Zarb21]. The significant increase in BSIs over the years is also noteworthy although appearing to decline in the most recent survey. Such data on changes in the frequency of infection sites over time should serve to inform the value of preferential and precise interventions to combat transmissions in the healthcare setting.

Only 29.0% of clinically defined HAIs yielded specific pathogens which was lower than previous reports [Reference Magill3, Reference Chen17, Reference Zarb21]. This may have been due to the fact that some culture results were not available on the survey day, and emphasises the need to improve rapid microbiological confirmation of infection to avoid the potential misdiagnosis of HAIs. Overall, Gram-negative bacteria were isolated most frequently, which was in accordance with other studies’ results from China, ECDC and USA [Reference Magill3, Reference Chen17, Reference Zarb21] with E. coli (16.7%) being predominant and similar to the results from ECDC (15.2%), but substantially higher than other reports from China (6.6%) and USA (9.3%) [Reference Chen17, Reference Zarb21]. The proportion of S. aureus (7.5%) found here also mirrors the study from China (6.6%) [Reference Chen17], but was notably lower than the USA (10.7%) and ECDC (12.1%) studies [Reference Magill3, Reference Zarb21].

The overall prevalence of patients receiving antimicrobial agents was 44.13%. It is noteworthy that the prevalence gradually dropped over the study period from 53.60% to 40.95%, which was most likely due to the impact of new legislation following a special campaign to promote the rational use of antibiotics implemented by the MHPRC throughout the country in 2011 [26]. The new management policies established a national antibiotic stewardship system, antibiotic formulary restriction in hospitals, setting up a task force to monitor usage and underpinned by legal liability [Reference Xiao and Li27]. Reassuringly, the proportion of therapeutic use of antibiotics (61.1%) compared favourably with studies from China (57.1%) and ECDC (66.4%) [Reference Chen17, Reference Zarb21]. The proportion of prophylactic use also dropped markedly and the use of single agents increased over the years, and reflects the success of measures to reduce antimicrobial use. Nevertheless, this study shows that a high number of patients continue to receive potentially inappropriate antimicrobials, and suggests that further measures to curb antimicrobial abuse and enhance their rational use are still required.

Some limitations in the current study are acknowledged. First, the rate of microbiological confirmation of HAIs was lower than that from similar studies [Reference Magill3, Reference Zarb21], which might have contributed to possible misdiagnosis of infections. Second, we were unable to further investigate the appropriateness of antimicrobial use owing to a lack of data on the antimicrobial susceptibilities of the isolated pathogens and the specific antibiotics used for treatment of patients with HAI.

In conclusion, our study suggests that the prevalence of patients with HAIs in our hospital was consistent, if slightly higher, than previous studies from China and lower than most other countries. More attention should be given to the surveillance and prevention as the highest risk of acquiring HAIs appears to be linked to clinical departments such as intensive care, and site of infection, notably the lower respiratory tract. Meanwhile, more efforts should be made to further enhance rational antimicrobial use.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0950268818002856

Acknowledgements

We thank all investigators for data collection, cooperation and support in the Second Affiliated Hospital of Anhui Medical University.

Conflict of interest

None.

Funding

This research was supported by the Natural Science Research Project of Anhui Medical University (No. 2017xkj039).

References

1.World Health Organization (2011) Report on the Burden of Endemic Health Care-Associated Infection Worldwide. Geneva: WHO. Available at http://apps.who.int/iris/bitstream/10665/80135/1/9789241501507_eng.pdf (Accessed 17 April 2018).Google Scholar
2.Zimlichman, E et al. (2013) Health care-associated infections: a meta-analysis of costs and financial impact on the US health care system. JAMA Internal Medicine 173, 20392046.Google Scholar
3.Magill, SS et al. (2014) Multistate point-prevalence survey of health care-associated infections. New England Journal of Medicine 370, 11981208.Google Scholar
4.Roche, FM, Donlon, S and Burns, K (2016) Point prevalence survey of healthcare-associated infections and use of antimicrobials in Irish intellectual disability long-term care facilities: 2013. Journal of Hospital Infection 93, 410417.Google Scholar
5.Van der Kooi, T et al. (2010) Prevalence of nosocomial infections in The Netherlands, 2007–2008: results of the first four national studies. Journal of Hospital Infection 75, 168172.Google Scholar
6.Miliani, K et al. (2015) National point prevalence survey of healthcare-associated infections and antimicrobial use in French home care settings, May to June 2012. Euro Surveillance 20, 21182.Google Scholar
7.Kritsotakis, EI et al. (2017) Prevalence, incidence burden, and clinical impact of healthcare-associated infections and antimicrobial resistance: a national prevalent cohort study in acute care hospitals in Greece. Infection and Drug Resistance 10, 317328.Google Scholar
8.Ling, ML, Apisarnthanarak, A and Madriaga, G (2015) The burden of healthcare-associated infections in Southeast Asia: a systematic literature review and meta-analysis. Clinical Infectious Diseases 60, 16901699.Google Scholar
9.Li, C et al. (2014) Point-prevalence of healthcare-associated infection in China in 2010: a large multicenter epidemiological survey. Infection Control and Hospital Epidemiology 35, 14361437.Google Scholar
10.Collignon, P (2012) Clinical impact of antimicrobial resistance in humans. Revue Scientifique et Technique 31, 211220.Google Scholar
11.Weist, K and Högberg, LD (2016) ECDC publishes 2015 surveillance data on antimicrobial resistance and antimicrobial consumption in Europe. Euro Surveillance 21, 30399.Google Scholar
12.Llata, E, Gaynes, RP and Fridkin, S (2009) Measuring the scope and magnitude of hospital-associated infection in the United States: the value of prevalence surveys. Clinical Infectious Diseases 48, 14341440.Google Scholar
13.Valinteliene, R, Gailiene, G and Berzanskyte, A (2012) Prevalence of healthcare-associated infections in Lithuania. Journal of Hospital Infection 80, 2530.Google Scholar
14.Ministry of Health of the People's Republic of China (2009) Standard for nosocomial infection surveillance. Chinese Journal of Nosocomiology 19, 13131314.Google Scholar
15.Garner, JS et al. (1988) CDC definitions for nosocomial infections, 1988. American Journal of Infection Control 16, 128140.Google Scholar
16.Xie, D et al. (2010) Point prevalence surveys of healthcare-associated infection in 13 hospitals in Hubei Province, China, 2007–2008. Journal of Hospital Infection 76, 150155.Google Scholar
17.Chen, Y et al. (2017) A point-prevalence survey of healthcare-associated infection in fifty-two Chinese hospitals. Journal of Hospital Infection 95, 105111.Google Scholar
18.Cai, Y et al. (2017) Prevalence of healthcare-associated infections and antimicrobial use among adult inpatients in Singapore acute-care hospitals: results from the first national point prevalence survey. Clinical Infectious Diseases 64, S61S67.Google Scholar
19.Lusignani, LS et al. (2016) A national point prevalence study on healthcare-associated infections and antimicrobial use in Austria. Wiener Klinische Wochenschrift 128, 8994.Google Scholar
20.Behnke, M et al. (2017) The prevalence of nosocomial infection and antibiotic use in German hospitals. Deutsches Ärzteblatt International 114, 851857.Google Scholar
21.Zarb, P et al. (2012) The European centre for disease prevention and control (ECDC) pilot point prevalence survey of healthcare-associated infections and antimicrobial use. Euro Surveillance 17, 20316.Google Scholar
22.Zhang, Y et al. (2016) Annual surveys for point-prevalence of healthcare-associated infection in a tertiary hospital in Beijing, China, 2012–2014. BMC Infectious Diseases 16, 161.Google Scholar
23.Xie, D et al. (2013) Annual point-prevalence of healthcare-associated infection surveys in a university hospital in China, 2007–2011. Journal of Infection and Public Health 6, 416422.Google Scholar
24.Antonioli, P et al. (2016) Temporal trends of healthcare associated infections and antimicrobial use in 2011–2013, observed with annual point prevalence surveys in Ferrara university hospital, Italy. Journal of Preventive Medicine and Hygiene 57, E135.Google Scholar
25.Kumar, A et al. (2014) Point prevalence surveys of healthcare-associated infections and use of indwelling devices and antimicrobials over three years in a tertiary care hospital in India. Journal of Hospital Infection 86, 272274.Google Scholar
26.Ministry of Health of China (2011) 2011 national special rectification activities program of clinical use of antibiotics. Available at http://www.moh.gov.cn/mohyzs/s3586/201104/51376.shtml (Accessed 7 July 2018).Google Scholar
27.Xiao, Y and Li, L. The actions of China in containing antimicrobial resistance. Available at http://www.globalhealthdynamics.co.uk/wp-content/uploads/2015/05/07_Xiao-Li.pdf (Accessed 7 July 2018).Google Scholar
Figure 0

Table 1. Prevalence and distribution of HAIs in a university hospital in Anhui, China, 2010–2017

Figure 1

Table 2. Distribution of HAIs in clinical wards in a university hospital in Anhui, China, 2010–2017

Figure 2

Table 3. Distribution of HAIs pathogens in a university hospital in Anhui, China, 2010–2017

Figure 3

Table 4. Antimicrobial use in a university hospital in Anhui, China, 2010–2017

Supplementary material: File

Wu et al. supplementary material

Wu et al. supplementary material 1

Download Wu et al. supplementary material(File)
File 93.2 KB