Literature DB >> 34223035

Impact of changes in the WHO's 2019 update of DDDs on the measurement of adult hospital antibacterial consumption in Catalonia (Spain), 2008-18.

Santiago Grau1, Sergi Hernández2, Enric Limón2, Esther Calbo2,3, Juan P Horcajada4.   

Abstract

OBJECTIVES: In 2019 the WHO fully adopted new DDD values. The objective of this study is to analyse their impact on the measurement of consumption of antibacterials in hospitals participating in the Catalan Infection Control and Antimicrobial Stewardship National Program (VINCat-PROA) in Catalonia (Spain) between 2008 and 2018.
METHODS: The anatomical therapeutic chemical/DDD system was used to monitor adult hospital antibacterial consumption expressed in DDD/100 bed-days. Consumption from 2008 to 2018 was calculated using both pre- and post-update DDD values. Differences were calculated as the percentage variation in DDD/100 bed-days and analysed with Student's t-test. Simple linear regressions were performed to evaluate the trends in adult antimicrobial consumption over the study period.
RESULTS: The overall consumption according to post-update DDD values decreased by 12.2% (P < 0.001) compared with the pre-update DDD values. Penicillins (-19.6.%; P < 0.001) and carbapenems (-19.0%; P = 0.023) showed the greatest reduction, followed by cephalosporins (-7.7%; P = 0.021) and quinolone antibacterials (-7.7%; P = 0.017). ICU services showed the greatest overall reduction (-13.1%; P < 0.001). From 2008 to 2018 there was a statistically significant decrease in consumption of penicillins and quinolone antibacterials and a statistically significant increase in cephalosporin and carbapenem consumption with both pre- and post-update DDD values. There were no variations in the ranking of consumption between the pre- and post-update DDD values.
CONCLUSIONS: The WHO's updates of DDDs have had a significant impact on the measurement of antibacterial consumption. In our region, they have corrected an overestimation of penicillin and carbapenem consumption amounting to 19%. It is essential to bear these findings in mind for an accurate assessment of temporal trends and benchmarking.
© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy.

Entities:  

Year:  2020        PMID: 34223035      PMCID: PMC8210002          DOI: 10.1093/jacamr/dlaa079

Source DB:  PubMed          Journal:  JAC Antimicrob Resist        ISSN: 2632-1823


Introduction

WHO and ECDC agree that the analysis of the consumption of antibacterials is crucial in order to optimize their use and to bring down resistance rates. A relationship between the use of certain antimicrobials and increased resistance has been proposed. The anatomical therapeutic chemical/DDD (ATC/DDD) system, developed and updated by the WHO Collaborating Centre for Drug Statistics Methodology, has become an international standard for drug metrics and facilitates the presentation and comparison of drug consumption statistics at international, national and regional levels. In 2008 the Catalan Infection Control and Antimicrobial Stewardship National Program (VINCat-PROA) adopted the ATC/DDD system as a standardized measure. In 2018, the WHO International Working Group for Drug Statistics Methodology updated the DDD of eight commonly used antibiotics as a result of a review of the doses used in clinical practice. These new DDD values were fully adopted in 2019. The objective of this study is to analyse the impact of these changes on the measurement of the consumption of hospital antibacterials for systemic use by adults in Catalonia (Spain) between 2008 and 2018.

Materials and methods

During the study period the number of hospitals participating in VINCat-PROA rose from 46 in 2008 to 63 in 2018. These figures represented 68.8% and 85.7% of all adult acute hospital beds in Catalonia (a region of 7.6 million people), respectively. The number of bed-days recorded increased from 2 991 053 in 2008 to 3 714 938 in 2018. The ATC/DDD system was used to monitor adult hospital antibacterial consumption. The pharmacy departments at the participating hospitals reported the number of units of each antibacterial for systemic use (J01) dispensed and bed-days data from the whole hospital and from the medical and surgical services and ICUs. Annual antibacterial consumption, expressed in DDD/100 bed-days, was calculated using both pre-update DDD values (WHO ATC/DDD index 2017) and post-update DDD values (WHO ATC/DDD index 2019), keeping the number of units used and bed-days of every single year. The percentage difference in mean consumption between pre‐ and post‐update DDD values was calculated and the significance of differences between values was established by Student’s t-test. Simple linear regressions were performed to evaluate the trends in consumption over the study period. The linear relationship was checked by ANOVA tests, and Pearson’s correlation coefficients (Pc values) were obtained. Values of P < 0.05 were considered statistically significant. A two-tailed distribution was assumed for all P values.

Results

Impact of DDD update on the mean consumption of antibacterials for systemic use

During 2008–18 the overall mean adult hospital antibacterial consumption calculated with post-update DDD values decreased by 12.2% (P < 0.001) compared with the pre-update DDD values: 79.4 versus 69.7 DDD/100 bed-days (Table 1). Penicillins showed the greatest reduction [−19.6% (P < 0.001), 31.7 versus 25.5 DDD/100 bed-days], followed by carbapenems [−19.0% (P = 0.023), 5.4 versus 4.4 DDD/100 bed-days], cephalosporins [−7.7% (P = 0.021), 13.8 versus 12.7 DDD/100 bed-days] and quinolone antibacterials [−7.7% (P = 0.017), 12.3 versus 11.3 DDD/100 bed-days].
Table 1.

Mean antibacterial consumption pre- and post-update of the WHO DDDs according to drugs and hospital service (Catalonia 2008–18)

ServiceATC classificationPre-update values, DDD/100 bed-days, mean (SD)Post-update values, DDD/100 bed- days, mean (SD)Percentage decrease P
TotalJ01 Antibacterials for systemic use79.44 (2.13)69.75 (2.51)12.2<0.001
J01C Penicillins31.66 (1.67)25.46 (0.83)19.6<0.001
 J01CA01 Ampicillin2.38 (0.24)0.80 (0.08)66.4<0.001
 J01CA04 Amoxicillin1.59 (0.27)1.06 (0.16)33.6<0.001
 J01CR02 Amoxicillin/β-lactamase inhibitor20.14 (2.24)16.06 (1.22)20.3<0.001
J01DBCDE Cephalosporins13.80 (0.90)12.73 (1.09)7.70.021
 J01DE01 Cefepime1.76 (0.14)0.88 (0.09)50.1<0.001
J01DH Carbapenems5.40 (1.18)4.37 (0.73)19.00.023
 J01DH02 Meropenem3.15 (1.19)2.15 (0.71)31.60.030
J01M Quinolone antibacterials12.29 (0.91)11.34 (0.79)7.70.017
 J01MA02 Ciprofloxacin5.80 (0.59)4.91 (0.52)15.30.001
 J01XB01 Colistin0.75 (0.12)0.31 (0.10)59.6<0.001
ICUJ01 Antibacterials for systemic use143.65 (4.32)124.78 (3.70)13.1<0.001
J01C Penicillins42.89 (3.62)37.47 (2.81)12.60.001
 J01CA01 Ampicillin4.79 (0.43)1.59 (0.12)66.9<0.001
 J01CA04 Amoxicillin1.11 (0.46)0.71 (0.27)36.1<0.001
 J01CR02 Amoxicillin/β-lactamase inhibitor17.10 (2.70)15.45 (1.81)9.70.022
J01DBCDE Cephalosporins22.71 (1.21)19.72 (0.85)13.1<0.001
 J01DE01 Cefepime5.54 (1.14)2.66 (0.47)50.2<0.001
J01DH Carbapenems20.49 (2.64)15.35 (1.16)25.1<0.001
 J01DH02 Meropenem15.38 (4.21)10.36 (2.41)32.7<0.001
J01M Quinolone antibacterials13.94 (1.24)12.03 (1.24)13.60.002
 J01MA02 Ciprofloxacin6.93 (0.91)4.82 (0.71)30.5<0.001
 J01XB01 Colistin5.32 (1.01)1.99 (0.52)62.6<0.001
MedicalJ01 Antibacterials for systemic use78.99 (2.79)69.14 (1.94)12.5<0.001
J01C Penicillins33.04 (2.23)26.12 (1.32)20.9<0.001
 J01CA01 Ampicillin2.36 (0.31)0.81 (0.08)65.8<0.001
 J01CA04 Amoxicillin1.87 (0.34)1.24 (0.20)33.6<0.001
 J01CR02 Amoxicillin/β-lactamase inhibitor21.86 (2.63)17.01 (1.54)22.2<0.001
J01DBCDE Cephalosporins13.80 (0.90)12.73 (1.09)10.30.002
 J01DE01 Cefepime2.44 (0.21)1.19 (0.11)51.2<0.001
J01DH Carbapenems4.78 (1.19)4.00 (0.73)16.40.078
 J01DH02 Meropenem2.63 (1.01)1.86 (0.54)29.2<0.001
J01M Quinolone antibacterials14.61 (1.20)13.98 (1.02)4.30.197
 J01MA02 Ciprofloxacin4.57 (0.46)3.93 (0.41)13.70.003
 J01XB01 Colistin0.70 (0.14)0.29 (0.12)58.4<0.001
SurgicalJ01 Antibacterials for systemic use74.76 (3.86)66.55 (4.38)11.0<0.001
J01C Penicillins29.78 (1.19)24.38 (0.82)18.4<0.001
 J01CA01 Ampicillin2.31 (0.23)0.78 (0.09)66.4<0.001
 J01CA04 Amoxicillin1.48 (0.29)0.97 (0.15)34.8<0.001
 J01CR02 Amoxicillin/β-lactamase inhibitor18.68 (1.64)15.27 (0.82)18.2<0.001
J01DBCDE Cephalosporins14.34 (1.50)13.81 (1.63)3.70.443
 J01DE01 Cefepime0.69 (0.16)0.34 (0.08)51.3<0.001
J01DH Carbapenems4.63 (0.99)3.78 (0.64)18.30.027
 J01DH02 Meropenem2.48 (0.97)1.66 (0.61)32.9<0.001
J01M Quinolone antibacterials9.39 (0.69)8.36 (0.71)10.90.003
 J01MA02 Ciprofloxacin7.12 (0.69)6.09 (0.66)14.50.002
 J01XB01 Colistin0.37 (0.12)0.15 (0.07)60.0<0.001
Mean antibacterial consumption pre- and post-update of the WHO DDDs according to drugs and hospital service (Catalonia 2008–18) Mean consumption decrease in all services and ICUs showed the greatest overall reduction (−13.1%, P < 0.001). In ICUs, carbapenems were the most affected by the update (−25.1%, P < 0.001). Penicillins had the greatest reduction in both medical (−20.9%, P < 0.001) and surgical services (−18.4%, P < 0.001). Ampicillin and colistin had the largest reductions in consumption (−66.4%, P < 0.001 and −59.6%, P < 0.001, respectively); however, amoxicillin/β-lactamase inhibitors showed the greatest impact in terms of overall reduction in consumption, due to its extended use (25.3% and 23.0% of the total antibacterial consumption with pre- and post-update DDD values, respectively). Antibiotics of special interest such as meropenem (−31.6%, P = 0.03) and cefepime (−50.1%, P < 0.001) also presented notable reductions in consumption.

Impact of DDD update on the evolution of consumption of antibacterials for systemic use

From 2008 to 2018 (Figure 1, annual overall consumption data on demand) there was a decrease in consumption of penicillins with both pre-update DDD values (33.5 versus 29.4 DDD/100 bed-days, Pc = −0.92, P < 0.001) and post-update DDD values (26.10 versus 24.24 DDD/100 bed-days, Pc = −0.72, P = 0.012). Differences between pre- and post-update values showed a reduction from −22.2% in 2008 to −17.5% in 2018, mainly due to a decrease in amoxicillin/β-lactamase inhibitor consumption (23.6 versus 17.3 DDD/100 bed-days with pre-update DDD values, and 17.8 versus 14.2 DDD/100 bed-days with post-update DDD values).
Figure 1.

Evolution of consumption of antibacterials for systemic use (J01) pre- and post-update of the WHO DDDs (Catalonia 2008–18). Percentages show differences in consumption values between pre- and post-update in 2008 and 2018.

Evolution of consumption of antibacterials for systemic use (J01) pre- and post-update of the WHO DDDs (Catalonia 2008–18). Percentages show differences in consumption values between pre- and post-update in 2008 and 2018. Consumption of quinolone antibacterials showed a statistically significant reduction with both pre-update (12.4 versus 10.4 DDD/100 bed-days, Pc=−0.76, P < 0.001) and post-update values (11.6 versus 9.6 DDD/100 bed-days, Pc = −0.78, P = 0.004). Differences increased from −5.9% in 2008 to −7.5% in 2018. Cephalosporin consumption increased from 2008 to 2018 with both pre-update (12.0 versus 14.7 DDD/100 bed-days, Pc = 0.94, P < 0.001) and post-update DDD values (10.9 versus 13.9 DDD/100 bed-days, Pc = 0.95, P < 0.001). Differences fell from −9.5% in 2008 to −5.5% in 2018, mainly due to an increase in cefazoline (1.9 versus 3.3 DDD/100 bed-days) and ceftriaxone (3.8 versus 5.5 DDD/100 bed-days) consumption and the maintenance of cefepime consumption both pre-update (1.6 versus 1.6 DDD/100 bed-days) and post-update (0.7 versus 0.7 DDD/100 bed-days). Consumption of carbapenems increased from 2008 to 2018 with both pre-update (3.4 versus 6.9 DDD/100 bed-days, Pc = 0.99, P < 0.001) and post-update DDD values (3.4 versus 5.4 DDD/100 bed-days, Pc = 0.99, P < 0.001). Differences rose from −3.5% in 2008 to −22.3% in 2018, due to a reduction in imipenem consumption (1.8 versus 0.9 DDD/100 bed-days) combined with an increase in meropenem consumption with both pre-update (1.2 versus 4.6 DDD/100 bed-days) and post-update DDD values (1.1 versus 3.1 DDD/100 bed-days).

Impact of DDD update on relative consumption of antibacterials for systemic use

There were no variations in the ranking of consumption between the pre- and post-update DDD values regarding the total consumption of all antibiotic groups during the study period. Penicillins were the most used and represented 35.0% and 32.2% of the total adult hospital antibacterial consumption with both pre- and post-update DDD values, followed by cephalosporins (17.5% and 18.4%, respectively) and quinolone antibacterials (12.4% and 12.8%, respectively). The group ‘other antibacterials’ (J01X) occupied the fourth place (11.7% and 12.5%, respectively) followed by carbapenems, which represented 8.3% and 7.2% of all antibacterial consumption, respectively.

Discussion

The reduction in the measurement of adult hospital antibacterial consumption in our study (12.2%) is similar to that reported by Robertson et al., who estimated a total DDD per 1000 inhabitants-day reduction on average by 12.0%, and confirms that the WHO’s 2019 DDD update corrects an overestimation of the consumption of antibacterials for systemic use (especially in penicillins) that had already been detected by Haug and Reikvam in Norway, Charra et al. in France and the EU, and Klein et al. in their study of antibiotic consumption in 76 countries. Carbapenems (meropenem) were more affected by DDD changes in ICU services since patients are more complex and the use of broad-spectrum antibiotics is higher. This reduction in the measurement related to the update of DDD values did not affect the main trends in the evolution of antibacterial consumption observed during our study period. Similar reductions in penicillin use were observed by Dickstein et al. in Israel and an increase in the consumption of first- and third-generation cephalosporins was observed by Kwint et al. in the Netherlands and Grau et al. in Catalonia. The reduction in quinolone consumption from 2008 to 2018 observed with both pre- and post-update DDD values could be related to the association of fluoroquinolones with an increased risk of aortic aneurysm and dissection. Meropenem is the only carbapenem affected by the DDD update and the upward trend in its consumption, together with the downward trend in the consumption of imipenem due to adverse effects associated with its use, can explain the great increase in the difference between the pre- and post-update consumption in 2008 (−3.5%) and 2018 (−22.3%). Despite the increase in the use of carbapenems, in the last few years their consumption has stabilized throughout Europe. The changes in DDD values have not included other groups of antibiotics such as tetracyclines (J01A), sulphonamides and trimethoprim (J01E), macrolides, lincosamides and streptogramins (J01F), aminoglycoside antibacterials (J01G) or other antibacterials (J01X); however, the general ranking of relative consumption has not been affected. Penicillins and carbapenems presented the largest relative reductions in the ranking of consumption in our area since they were the ones most affected by the DDD changes. Cephalosporins and quinolones increased their share of the total since changes in DDDs affected them less and they continue to be widely consumed. These results corroborate the estimations published by Robertson et al. A limitation of this study is the increase in participating hospitals between 2008 and 2018. This could have caused changes in consumption patterns. However, high-complexity hospitals have participated from the beginning and the use of average consumption from the last 10 years contributes to mitigating the possible selection bias. In conclusion, the WHO’s updates of DDDs have had a significant impact on the measurement of antibacterial consumption. In our region, they have corrected an overestimation of penicillin and carbapenem consumption amounting to 19%. It is essential to bear these findings in mind for an accurate assessment of temporal trends and benchmarking.
  11 in total

1.  Antibiotic consumption at 46 VINCat hospitals from 2007 to 2009, stratified by hospital size and clinical services.

Authors:  Santiago Grau; Esther Fondevilla; Sergi Mojal; Mercedes Palomar; Jordi Vallès; Francesc Gudiol
Journal:  Enferm Infecc Microbiol Clin       Date:  2012-06       Impact factor: 1.731

2.  WHO defined daily doses versus hospital-adjusted defined daily doses: impact on results of antibiotic use surveillance.

Authors:  Jon Birger Haug; Åsmund Reikvam
Journal:  J Antimicrob Chemother       Date:  2013-07-09       Impact factor: 5.790

3.  Impact of amoxicillin and oral amoxicillin-clavulanic acid defined daily doses on consumption indicators.

Authors:  F Charra; P Berthelot; F Bergheau
Journal:  Med Mal Infect       Date:  2018-11-20       Impact factor: 2.152

4.  Risk of Aortic Dissection and Aortic Aneurysm in Patients Taking Oral Fluoroquinolone.

Authors:  Chien-Chang Lee; Meng-Tse Gabriel Lee; Yueh-Sheng Chen; Shih-Hao Lee; Yih-Sharng Chen; Shyr-Chyr Chen; Shan-Chwen Chang
Journal:  JAMA Intern Med       Date:  2015-11       Impact factor: 21.873

5.  Intensification of antibiotic use within acute care hospitals in the Netherlands.

Authors:  H M Kwint; P D van der Linden; M M B Roukens; S Natsch
Journal:  J Antimicrob Chemother       Date:  2012-05-25       Impact factor: 5.790

6.  Antimicrobial Medicines Consumption in Eastern Europeand Central Asia - An Updated Cross-National Study and Assessment of QuantitativeMetrics for Policy Action.

Authors:  Jane Robertson; Kotoji Iwamoto; Iris Hoxha; Lilit Ghazaryan; Vafa Abilova; Ana Cvijanovic; Halina Pyshnik; Marina Darakhvelidze; Larissa Makalkina; Arianit Jakupi; Aigul Dzhakubekova; Angela Carp; Lidija Cizmovic; Svetlana Rachina; Vesela Radonjic; Salomudin Yusufi; Mesil Aksoy; Muhabbat Ibragimova; Brian Godman; Hans Kluge; Hanne Bak Pedersen
Journal:  Front Pharmacol       Date:  2019-03-05       Impact factor: 5.810

7.  Antimicrobial use trends, Israel, 2012 to 2017.

Authors:  Yaakov Dickstein; Elizabeth Temkin; Debby Ben-David; Yehuda Carmeli; Mitchell J Schwaber
Journal:  Euro Surveill       Date:  2019-08

8.  Antibiotic drug-resistance as a complex system driven by socio-economic growth and antibiotic misuse.

Authors:  Bhawna Malik; Samit Bhattacharyya
Journal:  Sci Rep       Date:  2019-07-05       Impact factor: 4.379

9.  Decreasing and stabilising trends of antimicrobial consumption and resistance in Escherichia coli and Klebsiella pneumoniae in segmented regression analysis, European Union/European Economic Area, 2001 to 2018.

Authors:  Germán Peñalva; Liselotte Diaz Högberg; Klaus Weist; Vera Vlahović-Palčevski; Ole Heuer; Dominique L Monnet
Journal:  Euro Surveill       Date:  2019-11

10.  Global increase and geographic convergence in antibiotic consumption between 2000 and 2015.

Authors:  Eili Y Klein; Thomas P Van Boeckel; Elena M Martinez; Suraj Pant; Sumanth Gandra; Simon A Levin; Herman Goossens; Ramanan Laxminarayan
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-26       Impact factor: 11.205

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