Abstract
Background: Antimicrobial resistance is a significant clinical problem in pediatric practice in China. Surveillance of antibiotic use is one of the cornerstones to assess the quality of antibiotic use and plan and assess the impact of antibiotic stewardship interventions.
Methods: We carried out quarterly point prevalence surveys referring to WHO Methodology of Point Prevalence Survey in 16 Chinese general and children’s hospitals in 2019 to assess antibiotic use in pediatric inpatients based on the WHO AWaRe metrics and to detect potential problem areas. Data were retrieved via the hospital information systems on the second Monday of March, June, September and December. Antibiotic prescribing patterns were analyzed across and within diagnostic conditions and ward types according to WHO AWaRe metrics and Anatomical Therapeutic Chemical (ATC) Classification.
Results: A total of 22,327 hospitalized children were sampled, of which 14,757 (66.1%) were prescribed ≥1 antibiotic. Among the 3,936 sampled neonates (≤1 month), 59.2% (n = 2,331) were prescribed ≥1 antibiotic. A high percentage of combination antibiotic therapy was observed in PICUs (78.5%), pediatric medical wards (68.1%) and surgical wards (65.2%). For hospitalized children prescribed ≥1 antibiotic, the most common diagnosis on admission were lower respiratory tract infections (43.2%, n = 6,379). WHO Watch group antibiotics accounted for 70.4% of prescriptions (n = 12,915). The most prescribed antibiotic ATC classes were third-generation cephalosporins (41.9%, n = 7,679), followed by penicillins/β-lactamase inhibitors (16.1%, n = 2,962), macrolides (12.1%, n = 2,214) and carbapenems (7.7%, n = 1,331).
Conclusion: Based on these data, overuse of broad-spectrum Watch group antibiotics is common in Chinese pediatric inpatients. Specific interventions in the context of the national antimicrobial stewardship framework should aim to reduce the use of Watch antibiotics and routine surveillance of antibiotic use using WHO AWaRe metrics should be implemented.
Keywords: pediatrics, inpatient, antibiotic, antimicrobial stewardship, Point prevalence survey, AWaRe classification
Introduction
Antimicrobial resistance has become a major public health problem, especially in low and middle income countries like China, where the burden of infectious diseases and the frequency of antibiotic use are very high. According to national surveillance data, the prevalence of extended-spectrum beta lactamase (ESBL)-producing Enterobacteriaceae is >50%. The carbapenem resistance in Klebsiella pneumoniae and Acinetobacter baumannii is 13.4 and 28.5% in children’s hospital, highlighting the growing challenge of treating pediatric infectious diseases in China (National Health Commission of the People’s Republic of China, 2018b).
Appropriate use of antibiotics is fundamental to slow the emergence and spread of antibiotic resistance and extend the useful lifetime of existing antibiotics (Goossens, 2009). In 2015, the World Health Assembly adopted a global action plan on antimicrobial resistance and highlighted surveillance of antibiotic use as one of its key strategies (World Health Organization, 2015). Since 2011, the Chinese government has initiated a series of national antimicrobial management strategies to supervise and restrict antibiotic use (Xiao and Li, 2013). These interventions have been associated with a reduction in overall antibiotic prescribing, but the prevalence of infections with antibiotic-resistant WHO priority pathogens remains high in China (National Health Commission of the People’s Republic of China, 2018b). Children are high users of antibiotics, but few surveillance data truly reflect the current situation of antibiotic use in Chinese pediatric patients because the methodology and the indicators (such as defined daily doses) adopted in the existing national or hospital antibiotic surveillance program are not suitable for children. According to national surveillance data, antibiotic prescribing rate was 36.7% in 2017 (National Health Commission of the People’s Republic of China, 2018b). However, pediatric data are not separated from adult data for analysis in the national antibiotic surveillance protocol.
Recognizing the need for practical tools for antibiotic stewardship at the national and international levels to assess and supervise the appropriate use of antibiotics, WHO updated the Model List of Essential Medicines for Children (EMLc) in 2017 and grouped antibiotics into three main categories——Access, Watch, and Reserve (AWaRe) (WHO Expert Committee, 2017). Access group antibiotics have activity against a wide range of commonly encountered susceptible pathogens while showing relatively low resistance potential. Watch group antibiotics includes most of the highest priority agents among the Critically Important Antimicrobials (CIA) for Human Medicine. Reserve group antibiotics should be reserved for treatment of confirmed or suspected infections due to multi-drug-resistant organisms (WHO Expert Committee, 2017). In 2019, WHO extended AWaRe metrics to 177 antibiotics used across the globe (WHO Expert Committee on the Selection and Use of Essential Medicines, 2019; World Health Organization, 2019b), and a target indicator based on AWaRe was proposed by WHO which specifies a country level target of at least 60% of antibiotic consumption being from the ACCESS group (World Health Organization, 2018a). So far, most of the surveillance studies using WHO AWaRe metrics have been conducted by international research groups such as GARPEC and Global-PPS (Hsia et al., 2019a; Hsia et al., 2019b). Our previous study showed that WHO WATCH group antibiotics accounted for 82.2% of all antibiotic therapies in pediatric outpatients in China in 2018 (Wang et al., 2020). To date, only one multi-center point prevalence survey described antibiotic use among hospitalized children in China, which retrieved a 1-day cross-sectional survey in winter season and included a relatively small sample (Zhang et al., 2018). To further detect problem areas in pediatric antibiotic use in China, identify opportunities for improvement and strengthen evidence-based antimicrobial stewardship interventions in pediatric inpatient, we carried out this repeated point prevalence study to investigate antibiotic prescribing practices in Chinese pediatric inpatients and evaluate disease-based antibiotic prescribing based on the WHO AWaRe metrics (WHO Expert Committee on the Selection and Use of Essential Medicines, 2019).
Results
General Information of Sampled Hospitalized Children
Among the 16 participating hospitals, 13 hospitals conducted surveys on all four time points, three on March, June and September and one on March and June. A total of 23,651 neonatal and pediatric patients were hospitalized at 8 am on the days of surveys, of which, 1,324 (5.6%) were excluded based on the pre-specified inclusion/exclusion criteria and 22,327 (94.4%) were eligible for the final analysis. Of the eligible patients, 95.5% (n = 21,324) were from tertiary care hospitals and 4.5% (n = 1,003) were from secondary care hospitals; 92.0% (n = 20,535) were from specialized children’s hospitals and 8.0% (n = 1,792) were from pediatric wards of general hospitals. Of 22,327 pediatric inpatients, 17.6% were neonates (0 to <1 month) and 42.3% were children ≤1 year (Table 1).
TABLE 1.
General information of sampled hospitalized children.
| Hospitals | Number of inpatients (%) |
|---|---|
| Tertiary hospitals | |
| C1 | 1,599 (7.2) |
| C2 | 808 (3.6) |
| C3 | 1,923 (8.6) |
| C4 | 670 (3.0) |
| C5 | 3,559 (15.9) |
| C6 | 898 (4.0) |
| C7 | 4,381 (19.6) |
| C8 | 430 (1.9) |
| C10 | 4,603 (20.6) |
| C11 | 1,186 (5.3) |
| G1 | 462 (2.1) |
| G3 | 604 (2.7) |
| G5 | 201 (0.9) |
| Secondary hospitals | |
| S1 | 344 (1.5) |
| S3 | 134 (0.6) |
| S4 | 525 (2.4) |
| Ward types | |
| Pediatric medical wards | 12,197 (54.6) |
| Pediatric surgical wards | 3,278 (14.7) |
| High-risk wards | 1,806 (8.1) |
| PICUs | 838 (3.8) |
| Neonatal wards | 3,186 (14.3) |
| NICUs | 1,022 (4.6) |
| Age groups | |
| 0 to <1 month | 3,936 (17.6) |
| 1 month to <1 year | 5,506 (24.7) |
| 1 year to <3 years | 4,545 (20.4) |
| 3 years to <7 years | 5,101 (22.8) |
| 7 years to <12 years | 2,519 (11.3) |
| Sex | |
| Male | 13,490 (60.4) |
| Female | 8,837 (39.6) |
| Total | 22,327 |
Antibiotics Prescribing Patterns and Distributions
Of the 22,327 eligible hospitalized children, 14,757 (66.1%) received ≥1 antibiotic prescription, of which, 6,275 (42.5%) were neonates and 9,430 (63.9%) were children younger than 3 years. The percentage of children receiving antibiotic therapies varied by hospitals (median 70.3%, IQR 64.6–74.1%, range 36.8–94.2%) and age groups (median 63.5%, IQR 58.8%-69.0, range 55.0–71.6%). The percentage of patients receiving antibiotics was 66.2% (n = 8,926) and 66.0% (n = 5,831) in male and female inpatients. The percentage of patients receiving antibiotics was higher in secondary care hospitals (86.0%, range 64.9–94.2%) than in tertiary care hospitals (65.2%, median 69.8%, IQR 64.2–71.2%, range 36.8–89.6%); antibiotics were prescribed most frequently in children aged 1 month to <1 year (71.6%). Of the 14,757 patients in which antibiotics prescribed, percentages of inpatients receiving intravenous antibiotic therapy and combination antibiotic therapy ranged from 72.5 to 100% (median 97.4%, IQR 91.3–98.9%) and 7.8–41.8% (median 23.4%, IQR 16.8–27.3%) within the 16 participating hospitals, respectively (Table 2).
TABLE 2.
Number (percentage) of inpatients in which combination antibiotic therapy was prescribed (Top 10).
| Combination antibiotic therapy | Number (percentage) of inpatient in which combination antibiotic therapy was prescribed |
|---|---|
| Macrolides + third generation cephalosporins | 868 (5.9%) |
| Other antibacterials (J01X) + third generation cephalosporins | 537 (3.6%) |
| Carbapenems + other antibacterials (J01X) | 404 (2.7%) |
| Macrolides + penicillins/β-lactamase inhibitors | 350 (2.4%) |
| Other penicillins + third generation cephalosporins | 295 (2.0%) |
| Penicillins/β-lactamase inhibitors + third generation cephalosporins | 141 (1.0%) |
| Sulfonamids and trimethoprim + third generation cephalosporins | 126 (0.9%) |
| Carbapenems + macrolides | 84 (0.6%) |
| Macrolides + second generation cephalosporins | 82 (0.6%) |
| Carbapenems + other penicillins | 54 (0.4%) |
A total of 18,344 antibiotic prescriptions including 69 different antibiotic agents were assessed at the surveyed points. The five most commonly prescribed antibiotic agents were ceftazidime (10.9%, n = 2,000), azithromycin (9.9%, n = 1,825), cefperazone/sulbactam (8.5%, n = 1,561), cefotaxime (7.6%, n = 1,388) and piperacillin/tazobactam (7.5%, n = 1,375). Meropenem accounted for 5.7% (n = 1,050) of all prescribed antibiotics. Amoxicillin and amoxicillin/clavulanic acid accounted for 0.9% (n = 160) and 5.0% (n = 919) of all antibiotic therapies, respectively. The most prescribed antibiotic ATC classifications were third-generation cephalosporins (41.9%, n = 7,679), penicillin/β-lactamase inhibitors (16.1%, n = 2,962), macrolides (12.1%, n = 2,214) and carbapenems (7.7%, n = 1,331). Third-generation cephalosporins were the most commonly prescribed antibiotics in 16 participating hospitals and all age groups. Piperacillin/tazobactam and amoxicillin/clavulanic acid were the most common penicillin/β-lactamase inhibitors combination, followed by ampicillin/sulbactam (n = 332), mezlocillin/sulbactam (n = 242), piperacillin/sulbactam (n = 59) and amoxicillin/sulbactam (n = 35).
For 14,757 inpatients in which antibiotic therapy was prescribed, 1,935 (13.1%) and 648 (4.4%) inpatients were prescribed with third-generation cephalosporins-based and carbapenem-based combination antibiotic therapy, respectively. The most common combination antibiotic therapy was third generation cephalosporins in combination with macrolides (Table 3).
TABLE 3.
Antibiotic prescribing patterns based on diagnostic conditions on admission.
| Diagnostic conditions on admission | Number of inpatients in which antibiotic therapy prescribed | Number (percentage) of inpatients in which combination antibiotic therapy prescribed |
|---|---|---|
| Lower respiratory tract infections | 6,379 | 1,588 (23.6) |
| Non-infectious diseases | 3,851 | 811 (21.1) |
| Central nervous system infections | 816 | 137 (16.8) |
| Sepsis | 600 | 225 (37.5) |
| Undifferentiated fever | 564 | 125 (22.2) |
| Upper respiratory tract infections | 465 | 53 (11.4) |
| Abdominal infection | 410 | 175 (42.7) |
| Gastrointestinal infections | 280 | 40 (14.3) |
| Other infectious diseases | 254 | 59 (23.2) |
| Skin and soft tissue infections | 189 | 16 (8.5) |
| Neonatal infection | 186 | 63 (33.9) |
| Viral infection | 161 | 14 (8.7) |
| Urogenital infections | 123 | 8 (6.5) |
| Multiple infectious diagnoses | 66 | 10 (15.2) |
| Bone and joint infection | 64 | 5 (7.8) |
| Total | 14,757 | 3,329 (22.6) |
According to WHO AWaRe classification, Access, Watch and Reserve antibiotics accounted for 14.5% (n = 2,664), 70.4% (n = 12,915) and 1.5% (n = 266), respectively. The percentage of Access and Watch antibiotics ranged from 2.5 to 49.0% (median 17.2%, IQR 7.7–22.1%) and 30.1–89.4% (median 68.5%, IQR 49.5–80.4%) among 16 participating hospitals. Reserve group antibiotics were used in 12 tertiary hospitals and accounted for less than 5% in each hospital (median 0.6%, IQR 0.05–1.65%, range 0–4.4%). The percentage of Access antibiotics was less than 25% in all age groups while Watch antibiotics accounted for 55.7–74.3% among different age groups.
Antibiotic Prescribing Patterns Based on Diagnostic Conditions on Admission
Of the 14,757 hospitalized children in which antibiotics were prescribed, the most common diagnostic condition on admission was lower respiratory tract infections (n = 6,379, 43.2%). Combination antibiotic therapy was common in patients with a diagnosis of lower respiratory tract infections (Table 3). Of note, 48.6% (n = 6,274) of Watch antibiotics and 34.8% (n = 464) of carbapenems were prescribed for patients with a diagnosis of lower respiratory tract infection on admission.
For children with a diagnosis of lower respiratory tract infection on admission, the percentage of WHO Access and Watch antibiotics were 11.4% (n = 928) and 73.8% (n = 6,018), respectively. Watch antibiotics were the most prescribed antibiotics (54.4–92.4%) among 11 hospitals. According to ATC classification, third-generation cephalosporins (46.6%) were the most prescribed antibiotics, followed by macrolides (20.5%) and penicillin/β-lactamase inhibitors (16.2%). The percentage of carbapenems was 5.5% and even >10% among three participating hospitals. The percentage of penicillins/β-lactamase inhibitors was >50% in one hospital (S3).
There were 850 antibiotic therapies prescribed for children with a diagnosis of sepsis on admission, in which, third-generation cephalosporins (34.8%) were the most prescribed antibiotics, followed by carbapenems (20.4%) and penicillins/β-lactamase inhibitors (14.1%). Besides, 300 (35.3%) antibiotic therapies were used for neonates, in which, meropenem (21.3%, n = 64) was the most prescribed antibiotic agent, followed by ampicillin/sulbactam (12.7%, n = 38) and ceftazidime (12.7%, n = 38).
Antibiotic Prescribing Patterns by Ward Types
The percentage of patients in which antibiotics were prescribed varied by ward types, with a high percentage observed in PICUs (78.5%), pediatric medical wards (68.1%) and surgical wards (65.2%). The percentage of antibiotic prescribing (Table 4) and distribution of antibiotic ATC classes within different ward types varied by hospitals (Supplementary Figure S1).
TABLE 4.
Antibiotic prescribing pattern by different ward types.
| Hospitals | Number of patient prescribed antibiotics (percentage of patient prescribed antibiotics by ward, %) | |||||
|---|---|---|---|---|---|---|
| Medical ward | Surgical ward | High risk ward | PICU | Neonatal ward | NICU | |
| C1 | 600 (65.7) | 2 (66.7) | 201 (76.1) | 40 (95.2) | 183 (48.5) | |
| C2 | 362 (76.9) | 62 (63.3) | 13 (56.5) | 138 (63.9) | ||
| C3 | 231 (44.7) | 322 (80.7) | 188 (75.5) | 158 (92.9) | 231 (62.6) | 115 (52.5) |
| C4 | 454 (80.9) | 17 (94.4) | 57 (62.6) | |||
| C5 | 1,359 (68.9) | 378 (58.1) | 240 (59.3) | 60 (76.9) | 166 (52.7) | 106 (76.3) |
| C6 | 378 (78.8) | 52 (67.5) | 2 (33.3) | 20 (62.5) | 175 (57.8) | |
| C7 | 1,089 (51.7) | 484 (48.8) | 171 (77.4) | 188 (74.0) | 396 (65.3) | 110 (53.9) |
| C8 | 152 (70.4) | 12 (35.3) | 41 (69.5) | 14 (25.9) | 22 (32.8) | |
| C10 | 1,962 (72.3) | 602 (80.2) | 297 (53.1) | 54 (88.5) | 267 (78.3) | 153 (85.5) |
| C11 | 472 (81.0) | 134 (87.0) | 50 (49.0) | 19 (63.3) | 60 (58.3) | 104 (48.6) |
| G1 | 207 (70.4) | 50 (68.5) | 43 (78.2) | 29 (72.5) | ||
| G3 | 173 (40.3) | 22 (64.7) | 27 (19.1) | |||
| G5 | 82 (91.1) | 98 (88.3) | ||||
| S1 | 314 (94.3) | 10 (90.9) | ||||
| S3 | 71 (83.5) | 16 (32.7) | ||||
| S4 | 395 (90.4) | 12 (66.7) | 45 (64.3) | |||
| Total | 12,197 (68.1) | 3,278 (65.2) | 1,806 (63.6) | 838 (78.5) | 3,186 (59.7) | 1,022 (59.7) |
The most obvious variation of antibiotic prescribing patterns was seen in neonatal wards among hospitals. The overall percentage of antibiotic prescriptions in neonatal wards were 59.7%, ranging from 19.1 to 88.3% (median 62.6%, IQR 50.6–64.8%) among hospitals. The percentages of Access and Watch antibiotics were 23.2 and 61.9% in neonatal wards, ranging from 2.8 to 56.7% (15.2%, IQR 8.8–36.7%) and 24.3–89.4% (61.9%, 52.1%–71.9%) among hospitals, respectively. In all, third-generation cephalosporins (39.4%) were the most commonly prescribed antibiotic category, followed by penicillins/β-lactamase inhibitors (26.0%) and carbapenems (9.5%). The percentage of carbapenems ranged from 1.1 to 24.2% (median 6.5%, IQR 1.2–9.9%) among hospitals.
For children hospitalized in PICUs of the 11 hospitals, lower respiratory tract infections (49.8%) were the most common diagnosis on admission. The percentage of children on antibiotic therapy ranged from 62.5 to 95.2% (median 74.0%, IQR 64.0–83.4%). Generally, third-generation cephalosporins (35.5%) and carbapenems (18.7%) were frequently prescribed antibiotic ATC classes in PICUs. In three hospitals, the percentage of carbapenems prescription was higher than 30%.
For children hospitalized in surgical wards of the 13 hospitals, the percentage of children on antibiotic therapy was 65.2%, ranging from 62.5 to 95.2%. For patients on antibiotic therapy, 40.1% had a diagnosis related to infectious conditions on admission, in which, the common diagnoses were abdominal infections (13.7%, n = 293), lower respiratory tract infections (5.7%, n = 122) and skin and soft tissue infections (5.4%, n = 116). Generally, third-generation cephalosporins (40.2%, n = 1,035) and second-generation cephalosporins (20.3%, n = 523) were the most prescribed antibiotic ATC classes in surgical wards.
For children hospitalized in high risk wards of seven hospitals, the percentage of children on antibiotic therapy was 63.6%, ranging from 33.3 to 77.4% (median 59.3%, IQR 51.1–75.8%). For children on antibiotic therapy, 66.1 and 41.8% had a diagnosis of either high risk disease or infectious disease on admission, respectively. Generally, third-generation cephalosporins (30.1%, n = 504), sulfonamids and trimethoprim (20.3%, n = 340) and carbapenems (14.9%, n = 249) were the frequently prescribed antibiotic ATC classes.
Discussion
These repeated hospital-based point prevalence surveys of antibiotic use illustrate current situation regarding antibiotic prescription practice in pediatric inpatients in China. During the four time points cross-sectional surveys in 2019, the point prevalence of antibiotic use in pediatric wards was 66.1%, which was higher than the prevalence reported in high-income countries such as European countries (36.4%), Australia (46%) and the United States(42.6%) (Versporten et al., 2013; Osowicki et al., 2014), but was comparable to other Asian countries such as India (61.5%) and Vietnam (67.4%) (Thu et al., 2012; Gandra et al., 2017). For children in which antibiotics were prescribed, the percentage of inpatients <1 year (42.6%) was higher than that in developed countries (30%) (Osowicki et al., 2014). It is noteworthy that Watch group antibiotics accounted for 73.8% of antibiotic prescriptions and inappropriate combination antibiotic therapy was frequently prescribed in Chinese pediatric inpatients. Antibiotic stewardship needs to be strengthened to reduce unnecessary antibiotic use in Chinese children. On the other hand it is quite important to improve the uptake of pneumococcal conjugate vaccine, Haemophilus influenza type B conjugate vaccine, influenza vaccine and rotavirus vaccine in Chinese children, which are highly recommended by WHO to reduce the incidence of vaccine-preventable pneumonia and diarrhea whose treatment would require antimicrobial medicines or are often inappropriately treated with antibiotics (World Health Organization, 2012; World Health Organization, 2013a; World Health Organization, 2013b; World Health Organization, 2019a).
Our study noticed a significant variation in antibiotic use even across similar medical settings and within ward types in China. The point prevalence of antibiotic use ranged from 36.8 to 94.2% in 16 participating hospitals, from 19.1 to 88.3% in neonatal wards and from 35.3 to 94.4% in surgical wards. We also observed a substantial variation between hospitals in the use of Access, Watch, and Reserve antibiotics within ward types and diagnostic conditions. In the 15 neonatal wards, the percentage of Access and Watch group antibiotics ranged from 2.8 to 56.7% and from 24.3 to 89.4%, respectively. This situation in fact reflects inconsistency in antibiotic prescribing behavior and the poor compliance of the guidelines on common infectious diseases among pediatricians. Thus, there is an urgent need to implement standardized clinical pathways or guidelines of common infectious diseases and strengthening education to improve appropriate use of antibiotic.
Overall, Watch group antibiotics accounted for 70.5% of all antibiotic prescriptions and third-generation cephalosporins accounted for 41.9%. However, in most countries, Watch group antibiotic use in hospitalized children was less than 50% (Hsia et al., 2019a), and third-generation cephalosporins use in hospitalized children was even below 10% in West Europe, Australia and North America (Versporten et al., 2016). According to WHO surveillance data in 2020, the prevalence of third-generation cephalosporins resistance in Escherichia coli (E.coli) and Klebsiella pneumoniae among blood stream infection was 36.0 and 56.7%, respectively (World Health Organization, 2020). In the United States, the prevalence of ESBL-producing Enterobacterales causing bloodstream infections in pediatric patients is 5.2% (Sader et al., 2020). In low- and middle-income countries, the prevalence of third-generation cephalosporins resistance in E. coli and Klebsiella pneumoniae is 27 and 74%, respectively (Droz et al., 2019). In China, the prevalence of ESBL-producing Enterobacteriaceae is among the highest in the world (>50%) (Hu et al., 2018; National Health Commission of the People’s Republic of China, 2018b), which is partly related to overuse of third-generation cephalosporins since the late 1990s. In terms of the diagnoses on admission, most of prescribed antibiotics were used for the treatment of common community-acquired respiratory infections in pediatric inpatients. Thus, it is feasible to improve the overuse of third-generation cephalosporins in Chinese children through intensive antimicrobial stewardship programs.
An additional noteworthy problem was the frequent use of carbapenems in Chinese pediatric inpatients. Carbapenems accounted for 7.4% of all antibiotic prescriptions and even up to 9.9% among neonates, which was significantly higher than that reported in India (4.5%) and Australia (3.2%) (Osowicki et al., 2014; Gandra et al., 2017). For children hospitalized in PICUs, carbapenems prescriptions accounted for 18.7% and even more than 30% in some facilities. The frequent use of carbapenems is mainly driven by high prevalence of ESBL-producing Enterobacteriaceae and strict restriction of aminoglycosides use for children in China (National Health Commission of the People’s Republic of China, 2018a). On the other hand, carbapenems are also misused for either non-severe bacterial infections or resistant-bacteria colonization for a clinical concern about “just in case” in pediatric practice. In the United States, prevalence of carbapenem resistance in Enterobacteriaceae is only 0.5% in pediatric patients (Sader et al., 2020). In the European countries, the prevalence of carbapenem resistance in E. coli and Klebsiella pneumoniae is 0.6 and 6.5% in pediatric patients (Bielicki et al., 2015). So far, increasingly high prevalence of carbapenem resistance in Enterobacteriaceae and Acinetobacter baumannii has been a big clinical challenge in Chinese pediatric patients (National Health Commission of the People’s Republic of China, 2018b). The Chinese health authority issued expert consensus on clinical use of carbapenems in 2018, in which, empirical and target carbapenems therapies should be prescribed based on strict clinical indications and microbiological evidence, meanwhile, carbapenem prescriptions need to be documented and supervised (National Health Commission of the People’s Republic of China, 2018a). Improving the use of carbapenems should be a key priority in pediatric antimicrobial stewardship programs in China.
The study has several strengths. First, we applied comprehensive and child-appropriate indications based on WHO AWaRe methodology to assess the appropriateness of pediatric antibiotic prescribing. Second, we adopted standardized methodology of point prevalence survey and a large sample size to reduce the bias of surveillance data. Third, we compared the variation in antibiotic prescribing practice among hospitals and by ward types.
The study also has a few of limitations. First, the appropriateness of antibiotic prescribing could not be determined based on the detailed patient characteristics, indication of antibiotic use, severity of infection, duration of therapy, or microbiology and antimicrobial susceptibility results. Second, most of participating hospitals in this study were provincial or municipal tertiary hospitals on a voluntary basis, thus, our results cannot fully represent the current situation of antibiotic use in secondary hospitals and county hospitals in China. However, our surveillance data remain representative and reflected the objective situation and issues on antibiotic use in Chinese pediatric inpatients because the majority of pediatric inpatients are hospitalized in the tertiary hospitals in China. The results provided useful information for pediatricians to improve clinical practice and for policy-makers to strengthen the pediatric antimicrobial stewardship in the future.
Materials and Methods
This study is designed prospectively to retrieve point prevalence surveys (PPS) of antibiotic use in hospitalized children in China referring to WHO Methodology of Point Prevalence Survey on Antibiotic Use in Hospitals (World Health Organization, 2018b). Sixteen public hospitals from the pediatric subgroup of the Chinese Society of Infectious Diseases participated in this study on a voluntary basis. Cross-sectional hospital-based PPSs were conducted in all pediatric and neonatal wards of the participating hospitals on the second Monday of March, June, September and December in 2019 (11 March, 10 June, 9 September and 9 December). Among the 16 hospitals, 13 were tertiary care hospitals and three were secondary care hospitals; four were general hospitals and 12 were children’s specialized hospitals (including seven maternal and children’s hospitals) (Table 5).
TABLE 5.
General information of participating hospitals.
| Code | Hospital | Type | Level | Ward types a | Total beds |
|---|---|---|---|---|---|
| C1 | West China second hospital, sichuan University | Maternal and children’s | Tertiary | M, S, P, n, H | 565 |
| C2 | Xiamen Children’s hospital | Children’s | Tertiary | M, S, P, n | 1,000 |
| C3 | Children’s hospital of fudan University | Children’s | Tertiary | M, S, P, N, n, H | 686 |
| C4 | Hangzhou Children’s hospital | Children’s | Tertiary | M, S, n | 350 |
| C5 | Children’s hospital of jiangxi province | Children’s | Tertiary | M, S, P, N, n, H | 1,200 |
| C6 | Hainan Children’s hospital | Children’s | Tertiary | M, S, P, n, H | 220 |
| C7 | Hunan Children’s hospital | Children’s | Tertiary | M, S, P, N, n, H | 1,800 |
| C8 | Gansu provincial maternity and child-care hospital | Maternal and children’s | Tertiary | M, S, P, N, n | 1,082 |
| C10 | Children’s hospital affiliated to zhengzhou University | Children’s | Tertiary | M, S, P, N, n, H | 2,227 |
| C11 | Qingdao women and children hospital | Maternal and children’s | Tertiary | M, S, P, N, n, H | 1,032 |
| G1 | The fourth hospital of baotou | General | Tertiary | M, S, P, n | 156 |
| G3 | The first affiliated hospital of guangxi medical University | General | Tertiary | M, P, n | 202 |
| G5 | Zhongnan hospital of wuhan University | General | Tertiary | M, n | 55 |
| S1 | Chengdu children special hospital | Children’s | Secondary | M, S | 130 |
| S3 | Lishui maternal and child health care hospital | Maternal and children’s | Secondary | M, n | |
| S4 | People’s hospital of zhecheng county | General | Secondary | M, S, n | 186 |
H, high risk ward; M, pediatric medical ward; N, neonatal intensive care unit; n, neonatal ward; P, pediatric intensive care unit; S, pediatric surgical ward.
All neonates and pediatric patients were included in the survey if they met the following criteria: younger than 16 years of age, present in the ward at 8:00 a.m. on the day of the survey and having been hospitalized in specialized pediatric wards for at least 24 h.
All data were retrieved via the hospital information system and finally reviewed by two infectious diseases specialists to exclude invalid or incomplete records. The exclusion criteria for sampled patients were as the following: 1) patients hospitalized in emergency observational wards, rehabilitation wards, and daycare wards; 2) hospitalized patients with incomplete information about patient’s demographics, diagnoses or medication.
Patient demographic data were collected for all surveyed patients, irrespective of antibiotic treatment. Antibiotic data were collected for patients on antibiotic therapy and included information on the antibiotics prescribed, such as the type of antibiotics, route of administration and the diagnoses on admission. Reason for prescribing antibiotics was not routinely available via hospital information systems. Therefore, we assessed the antibiotic prescribing roughly based on admission diagnoses.
In this study, “pediatric wards” were grouped into pediatric medical ward, pediatric surgical ward, pediatric intensive care unit (PICU), neonatal ward, neonatal intensive care unit (NICU) and high-risk ward. “High-risk wards” included hematology and oncology wards. “Antibiotics” included antibacterial agents for systemic use listed in the Anatomical Therapeutic Chemical (ATC) class J01 and orally administered metronidazole (P01AB01). In addition, cefathiamidine (J01DBX) and kitasamycin (J01FAX) which are not included in the WHO ATC classification were coded according to the pharmacological characteristics and the classification rules of the ATC guideline (World Health Organization, 1990). Antibiotics were grouped into 10 classes according to the ATC system (Table 6). The term “antibiotic prescription” was defined as the use of one antibiotic agent by one route of administration. Diagnoses on admission were divided into 15 diagnostic conditions on the clinical ground: upper respiratory infections; lower respiratory infections; gastrointestinal infections; abdominal infections; central nervous system infections; sepsis; bone and joint infections; undifferentiated fever; skin and soft tissue infections; urogenital infections; viral infections; neonatal infections; other infectious conditions; multiple infectious conditions; non-infectious conditions.
TABLE 6.
Antibiotic ATC classification.
| Antibiotic categories | ATC |
|---|---|
| Penicillins/β-lactamase inhibitors | J01CR01, J01CR02, J01CR03, J01CR05 |
| Other penicillins | J01C (excluding J01CR01, J01CR02, J01CR03, J01CR05) |
| Second generation cephalosporins | J01DC |
| Third generation cephalosporins | J01DD |
| Fourth generation cephalosporins | J01DE |
| Carbapenems | J01DH |
| Macrolides | J01FA |
| Sulfonamids and trimethoprim | J01E |
| Other antibacterials | J01X |
| Others | J01A Tetracycline |
| J01DB First generation cephalosporins | |
| J01DF Monobactams | |
| J01FF Lincosamides | |
| J01FG Streptogramins | |
| J01G Aminoglycoside | |
| J01M quinolone | |
| P01AB01 Metronidazole |
The following antibiotic prescribing indicators were calculated:
-
1.
the percentage of hospitalized children in which >1 antibiotic was prescribed was calculated by dividing the number of hospitalized children prescribed ≥1 antibiotics by the total number of hospitalized children and multiplying by 100;
-
2.
the percentage of hospitalized children in which ≥1 intravenous antibiotic was prescribed was calculated by dividing the number of hospitalized children prescribed ≥1 intravenous antibiotics by the total number of hospitalized children prescribed antibiotics and multiplying by 100;
-
3.
the percentage of hospitalized children in which combination antibiotic therapy was prescribed was calculated by dividing the number of hospitalized children prescribed >1 antibiotics by the total number of hospitalized children prescribed ≥1 antibiotic and multiplying by 100;
-
4.
the percentage of antibiotics prescribed in each ATC class or WHO AWaRe category was calculated by dividing the number of antibiotic prescriptions prescribed in a certain ATC class or AWaRe category by the total number of antibiotics prescriptions prescribed and multiplying by 100.
These indicators were calculated separately for each hospital, ward type, diagnostic condition and age group (0 to <1 month, 1 month to <1 year, 1 to <3 years, 3 to <7 years, 7 to <12 years and 12 to <16 years).
All data were exported into an Excel spreadsheet. Descriptive analyses were conducted by using Excel (Microsoft, Redmond, United States), Access (Microsoft, Redmond, United States) and GraphpadPrism (GraphPad Software, San Diego, CA).
Ethics approval was received for all participating hospitals from their respective institutional human research ethics committees. Informed consent from patients was not required by the ethics committee because there was no contact with patients and all data were de-identified.
Acknowledgments
We thank Hong Zhao, secretary of China Society of Infectious Diseases, for help with the program initiation.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Author Contributions
Conceptualization, BH, NM and MZ; Data curation, CW, YC and BY; Formal analysis, CW; Investigation, DW, CL, YZ, JL, CZ, YZ, RL, XW, ZQ, CW, HG, WY, LZ, HH and PY; Methodology, CW, YC, BY, BH, SL, QZ, CW, JT, QZ, SZ, ZZ, CJ, QS, YZ, DZ, JL, NM and MZ; Project administration, MZ; Resources, YC, BY, SL, QZ, CW, JT, QZ, SZ, ZZ, DW, CJ, QS, YZ, CL, DZ and XX; Writing–original draft, CW; Writing–review and editing, YC, BY, BH, SL, QZ, CW, JT, QZ, SZ, ZZ, DW, CJ, QS, YZ, CL, DZ, YZ, JL, CZ, YZ, RL, XW, ZQ, CW, HG, WY, LZ, XX, HH, PY, NM and MZ. All authors have read and agreed to the published version of the manuscript.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2021.601561/full#supplementary-material.
References
- Bielicki J. A., Lundin R., Sharland M., Project A. (2015). Antibiotic resistance prevalence in routine bloodstream isolates from children’s hospitals varies substantially from adult surveillance data in Europe. Pediatr. Infect. Dis. J. 34 (7), 734–741. [Epub 2015/01/22 PubMed PMID: 25607829]. 10.1097/INF.0000000000000652 [DOI] [PubMed] [Google Scholar]
- Droz N., Hsia Y., Ellis S., Dramowski A., Sharland M., Basmaci R. (2019). Bacterial pathogens and resistance causing community acquired paediatric bloodstream infections in low- and middle-income countries: a systematic review and meta-analysis. Antimicrob. Resist. Infect. Control 8, 207 [Epub 2020/01/02 PubMed PMID: 31893041; PubMed Central PMCID: PMCPMC 6937962]. 10.1186/s13756-019-0673-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gandra S., Singh S. K., Jinka D. R., Kanithi R., Chikkappa A. K., Sharma A., et al. (2017). Point prevalence surveys of antimicrobial use among hospitalized children in six hospitals in India in 2016. Antibiotics 6 (3), 19 [Epub 2017/09/14 PubMed PMID: 28902135; PubMed Central PMCID: PMCPMC5617983]. 10.3390/antibiotics6030019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goossens H. (2009). Antibiotic consumption and link to resistance. Clin. Microbiol. Infect. 15 (Suppl. 3), 12–15. [Epub 2009/04/25 PubMed PMID: 19366364]. 10.1111/j.1469-0691.2009.02725.x [DOI] [PubMed] [Google Scholar]
- Hsia Y., Lee B. R., Versporten A., Yang Y., Bielicki J., Jackson C., et al. (2019a). Use of the WHO access, watch, and reserve classification to define patterns of hospital antibiotic use (AWaRe): an analysis of paediatric survey data from 56 countries. Lancet Glob. Health 7 (7), e861–e871. 10.1016/s2214-109x(19)30071-3 [DOI] [PubMed] [Google Scholar]
- Hsia Y., Sharland M., Jackson C., Wong I. C. K., Magrini N., Bielicki J. A. (2019b). Consumption of oral antibiotic formulations for young children according to the WHO access, watch, reserve (AWaRe) antibiotic groups: an analysis of sales data from 70 middle-income and high-income countries. Lancet Infect. Dis. 19 (1), 67–75. 10.1016/s1473-3099(18)30547-4 [DOI] [PubMed] [Google Scholar]
- Hu F., Zhu D., Wang F., Wang M. (2018). Current status and trends of antibacterial resistance in China. Clin. Infect. Dis. 67 (Suppl. l_2), S128–S134. [Epub 2018/11/14 PubMed PMID: 30423045]. 10.1093/cid/ciy657 [DOI] [PubMed] [Google Scholar]
- National Health Commission of the People’s Republic of China (2018a). Expert consensus on clinical use of carbapenems. Beijing. Available at: http://www.nhc.gov.cn/ewebeditor/uploadfile/2018/09/20180921180710554.doc (Accessed July 25, 2019). [Google Scholar]
- National Health Commission of the People’s Republic of China (2018b). Status report on antimicrobial adminstration of the people’s republic of China. Beijing: China union medical college press (2018). [Google Scholar]
- Osowicki J., Gwee A., Noronha J., Palasanthiran P., McMullan B., Britton P. N., et al. (2014). Australia-wide point prevalence survey of the use and appropriateness of antimicrobial prescribing for children in hospital. Med. J. Aust. 201 (11), 657–662. [Epub 2014/12/17. PubMed PMID: 25495311]. 10.5694/mja13.00154 [DOI] [PubMed] [Google Scholar]
- Sader H. S., Castanheira M., Streit J. M., Carvalhaes C. G., Mendes R. E. (2020). Frequency and antimicrobial susceptibility of bacteria causing bloodstream infections in pediatric patients from United States (US) medical centers (2014-2018): therapeutic options for multidrug-resistant bacteria. Diagn. Microbiol. Infect. Dis. 98 (2), 115108 [Epub 2020/07/09 PubMed PMID: 32640386]. 10.1016/j.diagmicrobio.2020.115108 [DOI] [PubMed] [Google Scholar]
- Thu T. A., Rahman M., Coffin S., Harun-Or-Rashid M., Sakamoto J., Hung N. V. (2012). Antibiotic use in Vietnamese hospitals: a multicenter point-prevalence study. Am. J. Infect. Control 40 (9), 840–844. [Epub 2012/02/22 PubMed PMID: 22341530]. 10.1016/j.ajic.2011.10.020 [DOI] [PubMed] [Google Scholar]
- Versporten A., Bielicki J., Drapier N., Sharland M., Goossens H. (2016). The Worldwide Antibiotic Resistance and Prescribing in European Children (ARPEC) point prevalence survey: developing hospital-quality indicators of antibiotic prescribing for children. J. Antimicrob. Chemother. 71, 1106–1117. 10.1093/jac/dkv418 [DOI] [PubMed] [Google Scholar]
- Versporten A., Sharland M., Bielicki J., Drapier N., Vankerckhoven V., Goossens H., et al. (2013). The antibiotic resistance and prescribing in European children project: a neonatal and pediatric antimicrobial web-based point prevalence survey in 73 hospitals worldwide. Pediatr. Infect. Dis. J. 32 (6), e242–e253. [Epub 2013/07/11 PubMed PMID: 23838740]. 10.1097/INF.0b013e318286c612 [DOI] [PubMed] [Google Scholar]
- Wang C. N., Huttner B. D., Magrini N., Cheng Y., Tong J., Li S., et al. (2020). Pediatric antibiotic prescribing in China according to the 2019 world health organization access, watch, and reserve (AWaRe) antibiotic categories. J. Pediatr. 220, 125–131.e5. [Epub 2020/02/26 PubMed PMID: 32093934]. 10.1016/j.jpeds.2020.01.044 [DOI] [PubMed] [Google Scholar]
- WHO Expert Committee (2017). The selection and use of essential medicines. Geneva, Switzerland: World Health Organization. [Google Scholar]
- WHO Expert Committee on the Selection and Use of Essential Medicines (2019). Executive summary: the selection and use of essential medicines report 2019. Geneva, Switzerland: WHO Publications. [Google Scholar]
- World Health Organization (1990). The anatomical therapeutic chemical classification system with defined daily doses (ATC/DDD). Norway: World Health Organization; [Updated 2003; cited March 1, 2020]. Available at: https://www.whocc.no/ (Accessed December 17, 2020). [Google Scholar]
- World Health Organization (2012). Vaccines against influenza WHO position paper Geneva, Switzerland. Available at: https://www.who.int/wer/2012/wer8747.pdf?ua=1 (Accessed July 25, 2020).
- World Health Organization (2013a). Haemophilus influenzae type b (Hib) vaccination position paper. Geneva, Switzerland. Available at: https://www.who.int/wer/2013/wer8839.pdf?ua=1 (Accessed July 25, 2019). [Google Scholar]
- World Health Organization (2013b). Rotavirus vaccines WHO position paper. Geneva, Switzerland: WHO Publications; Available at: https://www.who.int/wer/2013/wer8805.pdf?ua=1 (Accessed July 25, 2019). [Google Scholar]
- World Health Organization (2015). Global action plan on antimicrobial resistance. Geneva, Switzerland: World Health Organization; [cited July 24, 2019]. [Google Scholar]
- World Health Organization (2018a). Proposed programme budget 2020–2021: thirteenth general programme of work, 2019–2023. Geneva, Switzerland: WHO Publications; [cited July 25, 2019]. Available at: http://apps.who.int/gb/ebwha/pdf_files/EB144/B144_7-en.pdf (Accessed November 9, 2020). [Google Scholar]
- World Health Organization (2018b). WHO methodology for point prevalence survey on antibiotic use in hospitals. Geneva, Switzerland: WHO Publications. [Google Scholar]
- World Health Organization (2019a). Pneumococcal conjugate vaccines in infants and children under 5 years of age: WHO position paper. Geneva, Switzerland: WHO Publications; Available at: https://apps.who.int/iris/bitstream/handle/10665/310968/WER9408.pdf?ua=1 (Accessed July 25, 2019). [Google Scholar]
- World Health Organization (2019b). The 2019 WHO AWaRe classification of antibiotics for evaluation and monitoring of use. Geneva, Switzerland: WHO Publications; [Internet] [cited March 1, 2020]. [Google Scholar]
- World Health Organization (2020). Global antimicrobial resistance and use surveillance system (GLASS) report (early implementation, 2020). Geneva, Switzerland: WHO Publications. [Google Scholar]
- Xiao Y., Li L. (2013). Legislation of clinical antibiotic use in China. Lancet Infect. Dis. 13 (3), 189–191. 10.1016/s1473-3099(13)70011-2 [DOI] [PubMed] [Google Scholar]
- Zhang J. S., Liu G., Zhang W. S., Shi H. Y., Lu G., Zhao C. A., et al. (2018). Antibiotic usage in Chinese children: a point prevalence survey. World J. Pediatr. 14 (4), 335–343. [Epub 2018/08/01 PubMed PMID: 30062648]. 10.1007/s12519-018-0176-0 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.