Next Article in Journal
Potential of DPD ((S)-4,5-dihydroxy-2,3-pentanedione) Analogs in Microparticulate Formulation as Vaccine Adjuvants
Next Article in Special Issue
New Approaches to Overcoming Antimicrobial Resistance in Endophthalmitis
Previous Article in Journal
Impact of a Moderate CYP3A4 Inducer (Bosentan) on Lurbinectedin Pharmacokinetics and Safety in Patients with Advanced Solid Tumors: An Open-Label, Two-Way, Crossover, Phase Ib Drug–Drug Interaction Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Comparison and Analysis of Antibiotic Consumption in Two Italian Hospital Settings in Relation to the Fight of Antimicrobial Resistance

1
Pharmacy Unit, ASL Napoli 3 Sud, 80035 Naples, Italy
2
Pharmacy Unit, Pharmacy Department, Policlinico Umberto I, 00161 Rome, Italy
3
Pharmacy Unit, ASL Latina, 04100 Latina, Italy
4
Italian Society of Hospital Pharmacy (SIFO), SIFO Secretariat of the Lombardy Region, 20159 Milan, Italy
5
Health Protection and Coordination of the Campania Regional Health System, 80143 Naples, Italy
6
Ministry of Health, 00144 Rome, Italy
*
Author to whom correspondence should be addressed.
Pharmaceuticals 2024, 17(2), 183; https://doi.org/10.3390/ph17020183
Submission received: 17 January 2024 / Revised: 25 January 2024 / Accepted: 28 January 2024 / Published: 30 January 2024

Abstract

:
Introduction: The emergence and spread of drug-resistant pathogens due to the improper use of antibiotics have become increasingly apparent in recent years. Objective: This retrospective comparative analysis aimed to assess and compare antibiotic prescription trends in Italy across two different regions based on geographic area and healthcare structure. One region represents a large hospital institution, while the other represents a populous local Italian health agency. The study also examined the impact of documented antibiotic stewardship programs and efforts to promote responsible antibiotic use at all levels, in alignment with international goals. Antibiotic consumption data were collected from the Umberto I Polyclinic Hospital and the ASL Napoli 3 South Local Health Agency. Methods: To compare consumption between regions, a standardized comparison using the Defined Daily Dose (DDD) was employed. The internal management system of each healthcare facility records all prescriptions and drug dispensations, and these data were extrapolated for this retrospective study. Results: A comparative assessment between the first half of 2022 and 2023 (January–June) highlighted a significant increase in beta-lactam antibiotic consumption, showing a twofold rise compared to the previous year’s term. Regarding prescription averages, there was a noticeable increase of +29.00% in hospitalizations and +28.00% in hospital discharges within the ASL Napoli 3 South. Conversely, at Policlinico Umberto I, there was a marginal increase of +1.60% in hospitalizations and a decrease of −7.40% in hospital discharges. Conclusions: The study offers valuable insights into expenditure patterns and antibiotic consumption, underscoring the need for enhanced prescribing practices and awareness campaigns to address the issue of antibiotic resistance. The findings stress the importance of implementing international guidelines to combat the growing threat of antibiotic resistance and ensure the effective management of infectious diseases.

1. Introduction

Resistant to antimicrobials (AMR), counted among the top three hazards to human well-being, is acknowledged as a global apprehension with substantial epidemiological and economic repercussions, notwithstanding the unrelenting surveillance exertions worldwide, in the European Union (EU), and the European Economic Area (EEA) [1]. Every year, approximately 35,000 fatalities transpire in the EU/EEA, where one-third of these are ascribed to infections triggered by bacteria that resist antibiotics, and 70% are associated with infections acquired in healthcare settings [2]. Recognizing the interdependency of human health, animal health, and ecosystem health, a worldwide “One Health” tactic deals with AMR, promoting collaboration between nations and sectors to advocate for the circumspect application of antibiotics in human, veterinary, and environmental domains [3]. Recognizing antibiotic resistance as a healthcare priority, member states of the EU were enjoined in the Council of the European Union on June 17, 2016, to devise a national strategy against antimicrobial resistance by the middle of 2017. This strategy is grounded in the “One Health” approach and aligns with the goals of the global action plan of the World Health Organization (WHO) [4]. At the national echelon, the National Strategy against Antimicrobial Resistance (PNCAR) 2017–2020, extended through 2021, and subsequently the National Plan to Counteract Antibiotic Resistance (PNCAR) 2022–2025 were sanctioned, rooted in inclusive governance. The strategy is organized around four horizontal spheres endorsing pivotal themes (Training, Information—Communication and Transparency, Research—Innovation and Bioethics, National and International Cooperation) and three vertical columns concentrating on interventions for the prevention and control of antibiotic resistance in human, animal, and environmental fields [5]. Pivotal alterations in the modern national strategy encompass a more comprehensive application of the One Health approach; heightened stress on communication, transparency, and bioethical facets; augmented integration between human, veterinary, and environmental sectors; and fortified surveillance of antimicrobials and activities for preventing and controlling infections. In spite of a dwindling pattern, the utilization of antibiotics in Italy remains beyond the European average in both the human and veterinary fields, with marked heterogeneity among regions in Italy [6]. The aim of this study is to evaluate the trend of antibiotic prescriptions in two Italian countries that differ in geographical area to compare the data collected and discuss the impact of documented antibiotic stewardship programs and efforts to promote a conscious and rational use of antibiotics in the field at all levels, in line with the objectives set by the international community. An all-Italian direct comparison between two different regions and between a hospital and a local health authority can provide new and important evidence, which can be useful to enrich the existing literature, on the national situation of an industrialized European country with one of the highest rates of bacterial resistance. This document will serve to make all healthcare personnel aware of the measures taken so far and those still needed to improve antibiotic consumption and prescription. Pivotal factors jeopardizing antibiotic resistance, leading to escalated management expenses in hospitals, include frequent and often improper application of broad-spectrum antibiotics, at times administered at less-than-optimal concentrations [7,8,9]. Consequently, vigilance over the usage of antimicrobial drugs within healthcare institutions is imperative to pinpoint actions essential for refining prescription appropriateness. These measures are critical in terms of well-being, presenting patients with optimal therapeutic options, consequently combating the development of resistance and diminishing associated unfavorable reactions. Additionally, they contribute to the economic viability.

2. Results

2.1. Data Collection

The results illustrated in the tables provide a detailed overview of the trend in the consumption of systemic antimicrobials in two hospital settings, Policlinico Umberto I in Rome and Azienda Sanitaria ASL Napoli 3 South. The extrapolated data exclusively pertain to hospital antibiotic consumption as this is a monitoring analysis that does not necessitate statistical tests with the inclusion of additional data. This study aims to raise awareness of the current usage of antimicrobials in Italy, utilizing two distinct Italian contexts as benchmarks. The intra- and inter-structure comparison assesses variability over time, among departments, and across different classes of antimicrobials. Table 1 reveals that in the first half of 2023, Policlinico Umberto I recorded a consumption of systemic antimicrobials (J01), expressed in Defined Daily Dose (DDD), amounting to 312,828.70. In particular, the indicators for consumption rates per 100 days of hospitalization (J01/G100 = A1) and per 100 discharges (J01/D100 = A2) were 211.3 and 2063.90, respectively. During the same period, Azienda Sanitaria ASL Napoli 3 South exhibited a different scenario, with a six-month DDD value of 63,671.86. The corresponding A1 and A2 indicators were 118.20 and 868.65, respectively. Among systemic antimicrobials, Penicillins and Beta-lactams (J01C), other Beta-lactams (J01D) not included in the previous group, and Cephalosporins (J01DD) constitute the most requested pharmacological classes in both structures. In this study, Policlinico Umberto I showed a higher consumption of the J01C class, as evidenced by the A4 indicator (Penicillins and Beta-lactams), approximately double that of ASL Napoli 3 South. Also, for the “other Beta-lactams” class (A5), albeit to a lesser extent, it was higher in the Roman reality (+29.27%); conversely, for Cephalosporins (Indicator A6), a positive trend reversal (+19.57%) was observed for Azienda ASL Napoli 3 South.
For the remaining classes of antimicrobials (from A7 to A15 and A3), consumption varies in the two healthcare companies when comparing the indicator values, both in cases at 100 days of discharges and 100 days of hospitalization. From the table, it is noteworthy that in the Roman hospital, the consumption of Carbapenems (A8) at 100 discharges was 6 times higher than that of the Campania company. High values of the A13 indicator describe for both structures sustained consumption at 100 discharges of the antimicrobial class of Fluoroquinolones, albeit with a trend reversal for ASL Napoli 3 South (+14.21%). The lowest and variable values were found for Tetracyclines (A3), Sulfonamides and Trimethoprim (A9), Cephalosporins IV gen. (A9BIS), and Colistin (A15) and were, respectively, 3.8, 3.4, 3.7, and 6.6 for Policlinico Umberto I and 0.64, 0.24, 0.34, and 0.74 for ASL Napoli 3 South. The A11 indicator for Quinolones also remained low for the Roman reality (2.7), while it differed for the Campania healthcare company (16.88). Finally, the consumption of the remaining classes of antimicrobials, Glycopeptides (A14), Carbapenems (A7), and Fluoroquinolones (A12, at 100 days of hospitalization), showed intermediate values of their respective indicators, depicting a scenario of Roman versus Campania reality, positive for the first two indicators (+83.89% and +77.68%) and negative for the third (−35.43%).

2.2. Comparison 2022 vs. 2023

In order to assess variations over time in the consumption of systemic antibiotics in the two healthcare companies, monitoring was conducted over a two-year period from 2022 to 2023 and the differentials were calculated for both healthcare companies (Table 2).
The consumption of systemic antibiotics per 100 days of hospitalization (A1) showed an increase of 1.60% from 2022 to 2023 for Policlinico Umberto I, while a decrease of −7.40% (A2) was observed for the same facility. In contrast, positive values for both A1 and A2 were recorded for the Campania facility, specifically +29.00% and +28.00%, respectively. These results, except for indicator A2 at Policlinico Umberto I, describe an increasing trend during the examined period. A systematic analysis of various classes of antimicrobials in the Roman hospital showed significant increases in the consumption of 4th-generation Cephalosporins (A9BIS), Cephalosporins (A6), and other Beta-lactams (A5), respectively, of 30.40%, 15.50%, 10.10%, and decreases for the classes: Colistin (−30.70%), Tetracyclines (−21.60%), and Quinolones (−19.60%), from the first half of 2022 to the first half of 2023. In ASL Napoli 3 South, positive variations in the first half of 2023 compared to the previous period were recorded for Penicillins and Beta-lactams (+64.00%), other Beta-lactams (+42.00%), Carbapenems (+32.00% at 100 days of hospitalization, +31.00% at 100 discharges), and 4th-generation Cephalosporins (26.00%), while a decrease in consumption was associated with Sulfonamides and Trimethoprim (−103.00%), Tetracyclines (−54.00%), Macrolides, Lincosamides, and Streptogramins (−50.00%), and Colistin (−13.00%). Despite the increasing trend in consumption in all regions, the data showed a wide variability between antibiotic classes and structures. Fluoroquinolone antibiotics showed a slight increase despite safety concerns [10,11], probably due to their extreme effectiveness in urinary tract infections. On the other hand, a significant decrease was observed in the usage of antibiotics that have been in common clinical practice for a long time and now have modest therapeutic efficacy, influenced by bacterial resistance phenomena. It is evident that new-generation beta-lactam drugs demonstrate great therapeutic efficacy in a hospital setting, leading to a significant increase in their use in the two periods compared. This rise is a cause for serious concern within global scientific societies as increased consumption is often associated with growing microbial resistance, which risks giving rise to increasingly resistant bacteria without effective treatments [12].

2.3. Number of Discharges and Hospitalisations

To understand more critically and analytically the data on the consumption of various classes of systemic antibiotics and to delineate the areas of greater application, a study was conducted. This study involved the calculation and classification of the number of discharges and hospitalization days within both healthcare companies. Unlike the Campania reality, where data on discharges/hospitalizations were calculated and distributed among the various companies that were part of ASL Napoli 3 South, at Policlinico Umberto I, being a very extensive healthcare facility with 1250 beds, the total numbers of discharges/hospitalizations were calculated, classifying them by departments (Table 3). From a macroscopic point of view, there was an increase in terms of discharges and hospitalizations from 2022 to 2023, and this could positively impact the consumption not only of systemic antibiotics but, in general, all drugs used in a hospital setting. A systematic analysis highlighted that the highest number of hospitalizations/discharges was attributable to five macro areas, classified as follows: B: Cardiovascular (surgical and non-surgical), C: Anesthesia and Intensive Care, E: Infectious, pulmonary, and metabolic diseases (diabetology), F: Rheumatology, Nephrology, Geriatrics, and Internal Medicine, G: Urology, Gynecology and Obstetrics, Pediatrics, and Gastroenterology. In 2022, the highest number of hospitalizations was associated with categories C, E, and F, followed by G and B. The departments of Infectious/pulmonary/metabolic diseases (diabetes) represented those with the highest number of hospitalizations for the first halves of 2022–2023. In the examined timeline, an increase was recorded for all departments except: Rheumatology, Nephrology, Geriatrics, and Internal Medicine (−1892); Anesthesia and Intensive Care (−1447); and finally, Infectious/pulmonary/metabolic diseases (diabetes), which experienced a slight decrease (−369) despite having the highest number compared to other departments. The number of discharges also increased in the considered two-year period, going from 12,673 to 15,157. All departments contributed positively to these data except Hematology/Oncology/Dermatology (−32).
Finally, for ASL Napoli 3 South, a reclassification of data (discharges/hospitalization days) was carried out for hospital entities within the ASL area itself: hospitals in the Stabiese Area, Torre del Greco, Boscotrecase, Peninsula Sorrentina, and Nola Area (Table 4). In particular, hospitals with a higher weight in terms of consumption were presumably those with a higher number of discharges and hospitalization days. In 2022, the hospital/hospitals in the Nola Area (2407) had a greater impact in terms of the number of discharges compared to those in the Stabiese Area (2158) and Peninsula Sorrentina (1494), while the number of hospitalizations was higher in the Stabiese Area (16,455), followed by the Nola Area (12,781) and Peninsula Sorrentina. In 2023, the numbers of discharges and hospitalization days remained low for the hospitals in Torre del Greco and Boscotrecase, and, once again, the numbers of the other three entities considered had a greater impact. In particular, an increase in the number of discharges was observed for the Stabiese Area (+101) and Peninsula Sorrentina (+134), and a decrease was observed for the Nola Area (−271). Hospitalization days, compared to the previous year, underwent changes of +3.41% (Stabiese Area), +3.63% (Peninsula Sorrentina), and +5.66% (Nola Area). Despite the fact that these increases were recorded for both indicators (discharges/hospitalizations), the differences between the total in 2022 and 2023 were almost negligible. This is due to variations in numbers within the hospitals of Torre del Greco and Boscotrecase, which, although much lower than the other entities, have positive or negative changes that act as a lever, balancing the total value.

3. Discussion

This study provides a comprehensive overview of the utilization patterns of various systemic antibiotics in two distinct Italian healthcare contexts: one situated in Central Italy and the other in the Southern region. The systematic analysis underscores the considerable geographic diversity in systemic antibiotic usage. In fact, Policlinico Umberto I emerged as the facility with the highest systemic antibiotic consumption among the two healthcare entities, a trend which was consistent over the two-year period. These consumption patterns are justified by a higher volume of hospitalizations, primarily stemming from five macro areas: cardiovascular, intensive critical care, uro-gynecological, infectious diseases, and the combined rheumatology–geriatrics–nephrology–internal medicine area. In contrast, ASL Napoli 3 South, despite an overall lower consumption, exhibited increasing percentages from 2022 to 2023 across all antibiotic classes except Tetracyclines, Sulfonamides and Trimethoprim, and Macrolides, Lincosamides-, and Streptogramins. The significant consumption is chiefly attributed to the Stabiese Area, Peninsula Sorrentina, and Nola Area, exerting a more substantial impact on the number of hospitalizations within ASL Napoli 3 South. Beta-lactam antibiotics, including penicillins and cephalosporins, stand out as widely employed therapies in hospital settings, falling under the Watch group of the AWaRe classification [13,14,15]. The latest-generation molecules, recently introduced to the market, demonstrate broad-spectrum efficacy against various bacterial strains [16,17]. It is crucial to note that antibiotics from previous generations might still be recommended as first- or second-line therapeutic options, despite their higher potential for developing resistance. The World Health Organization (WHO) suggests maintaining the priority of such drugs in local and national management programs. Projections on a broader scale indicate an upsurge in deaths due to infectious diseases in the absence of viable therapeutic alternatives, creating a critical scenario with limited means to counteract. In response, the Campania Region has implemented multiple actions, including the creation of new territorial organizations for physicians through the Territorial Functional Aggregation (TFA), aiming to establish a network among physicians for therapeutic continuity and continuous training [18,19,20]. This study delves into antibiotic usage in hospital departments, evaluating consumption rates through standardized parameters and indicators based on dispensed DDDs. The results highlighted an increase in antibiotic use in Italian hospitals, validated by the outcomes of Policlinico Umberto I in Rome. This increase, occurring in the post-COVID-19 pandemic period, contrasts with global campaigns to reduce consumption and preserve antimicrobial efficacy. Assessing and monitoring antibiotic prescriptions is crucial to manage antibiotic resistance in hospitalized patients [21,22,23,24,25,26,27]. Studies in the literature demonstrate that limiting antibiotic use to clinical cases requiring specific anti-infective interventions is essential to counteract antibiotic resistance, leading to fewer therapeutic failures. Periodic reports from public clinical and microbiological laboratories can be instrumental in promptly highlighting and informing affected individuals about detected bacterial infections. For instance, prescribing antibiotics based on oropharyngeal swabs, antibiograms, etc., ensures greater therapeutic appropriateness, ensuring the safety and efficacy of treatments while reducing antibiotic resistance. Rapid identification of the bacterial infection source allows targeted interventions on the transmission focus with high precision and accuracy, based on the spectrum of action and characteristics of the most suitable antibiotic [28,29,30]. Regarding healthcare-associated infections (HAIs), many infections are contracted primarily in healthcare settings, highlighting the inadequacy of current measures in eliminating or at least reducing them. HAIs affect immunocompromised patients, making them more vulnerable to bacterial infections and superinfections. Raising awareness among healthcare workers is crucial to ensure their utmost attention and increase treatment appropriateness. The results of this study can be instrumental in strengthening Antimicrobial Stewardship Programs (ASPs) and motivating other hospitals nationwide to measure their antibiotic consumption rates. The measurement and reporting of antibiotic consumption are integral components of ASPs. Implementing ASPs in hospitals has been shown to reduce antibiotic consumption rates. Furthermore, promoting awareness among healthcare staff through educational events, mandatory conferences, and internal training courses within hospital facilities is crucial for effective action against drug resistance and improved antibiotic utilization. The theme of health and socio-health prevention warrants special attention. Healthcare professionals might not be familiar with health disinfection, necessitating the emphasis on suitable products for the disinfection and sterilization of individuals, environments, and healthcare equipment. Specialized prevention courses are essential to support healthcare workers and patients in working safely. Additionally, several strategic actions have been activated within departments to enhance the prescription-dispensation and administration processes of antibiotics [31,32,33,34].

Strengths and Limitations

The exhaustive data compilation process, encompassing diverse data sources such as national health databases, stand out as a noteworthy aspect. Additionally, the utilization of Defined Daily Doses (DDDs) as a standardized metric provides a means to compare antibiotic consumption across regions and countries. This method approximates the proportion of the population undergoing daily treatment with specific antibiotics, facilitating meaningful cross-regional and international comparisons. On the other side, the retrospective study design introduces potential limitations related to data availability, accuracy, and the presence of confounding factors not considered during data collection. The reliability of the findings may be influenced by variations in data collection methods and potential biases in reporting observed across diverse secondary data sources.

4. Methods

Reports on the first half of 2023 regarding the utilization of antimicrobial drugs in a hospital setting (ATC J01) have been assessed in two different Italian contexts. These contexts are located in two distinct Italian regions and differ because one is a university hospital (AO), whereas the second is a local health authority (ASL) made up of five small community hospitals. The Policlinico Umberto I in Rome is a university hospital with 1250 beds, accommodating 20,000 daily visitors, and stands among the largest hospitals in Rome, the Italian capital in the Lazio region. Azienda Sanitaria ASL Napoli 3 South is one of the health companies in the Campania region, consisting of five hospitals (with approximately 850 beds) and ten health districts, serving a population of over one million. In the hospital context, when comparing drug consumption between different departments or hospitals or during different periods, the use of indicators such as the number of Defined Daily Doses (DDDs) per 100 regular hospitalization days and the number of DDDs per 100 regular discharges is recommended. For the analysis, data from the “Hospital Consumption File” have been used to account for drug consumption in company structures for the New health/sanitation information system (NSIS), along with data related to hospitalization days and the number of discharges from the company’s “Hospital Discharge Forms” registration system [35,36]. In both health companies, all data have been extracted using internal management software with control of information flows recorded at the time of hospitalization/discharge. The extraction process considered the following parameters: quantity of consumed medicine expressed in the smallest unit of measure, such as tablets or vials, and the utilizing department for AO. For the reference community hospital for ASL, they were the number of hospitalization days for each department/hospital; the number of discharges for each department/hospital. After extraction, an Excel file has been created, incorporating all values obtained from the extraction. A column has been dedicated to the Defined Daily Dose (DDD) for the molecules under evaluation and the ATC classification, based on the WHOCC (WHO Collaborating Centre for Drug Statistics Methodology) values updated to October 2023. Subsequently, indicators of interest were calculated according to the required parameters (Table 5), creating a table displaying the DDDs for the first half of 2023 and the corresponding indicator value, calculated based on the previously created indicator table. Another table has been generated to compare the indicators between the first half (1H: January–June) of 2022 and 2023, including a column for percentage variation. One final table was created to compare the number of discharges and hospitalization days between 1st January and 30th June of the year 2022 and 2023, broken down by departments/hospitals.

5. Conclusions

In the aftermath of the pandemic, the main threat to global public health is antibiotic resistance. Consequently, several national initiatives, led by the WHO, have been launched to tackle antimicrobial resistance, with the aim of promoting informed and appropriate use of antibiotics. The main driver of microbial resistance is the excessive and inappropriate consumption of antibiotics. Without a real change towards a prudent use of antimicrobials, this resistance may lead to inevitable deaths as effective drugs are in short supply among current treatment options. The analysis of real-world evidence clearly indicates a significant post-pandemic surge in antibiotic use in the Italian context, which serves as the baseline for this study. In particular, the most recent antibiotics introduced on the market, such as penicillins and latest-generation cephalosporins, are used overwhelmingly. This trend probably highlights the limited effectiveness of traditional antibiotics in the hospital setting. It is essential to establish routine monitoring of consumption and expenditure in healthcare facilities [37,38,39]. This practice ensures that healthcare personnel are well informed about the current emergency situation, while, at the same time, reinforcing awareness-raising campaigns to steer towards a more targeted and appropriate use of available drugs.

Author Contributions

F.F.: Conceptualization, Writing—original draft, Methodology, Supervision, Validation. R.P.: Conceptualization, Writing—original draft, Methodology, Supervision, Validation. M.C.: Writing—review and editing. G.P.: Conceptualization, Writing—original draft. G.B.: Supervision, Validation. M.V.: Writing—review and editing. A.C.: Writing—original draft, Writing—review and editing. R.L.: Software, Validation, Project administration. U.T.: Validation. E.N.: Methodology, Writing—review and editing. A.Z.: Supervision, Validation. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Full availability of data and materials. All stated data can be provided on request to the reader.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors declare that the opinions expressed are of a personal nature and do not in any way commit the responsibility of the Administrations to which they belong.

References

  1. European Commission. Health Emergency Preparedness and Response Authority. 2023. Available online: https://health.ec.europa.eu/publications/hera-factsheet-health-union-identifying-top-3-priority-health-threats_it (accessed on 1 October 2023).
  2. European Centre for Disease Prevention and Control. 2022. Available online: https://www.ecdc.europa.eu/en (accessed on 1 October 2023).
  3. Italian Superior Institute of Health. 2019. Available online: https://www.iss.it/one-health (accessed on 1 October 2023).
  4. Consiglio Unione Europea Bruxelles 1 Giugno 2023—“Raccomandazione del Consiglio sul Potenziamento Delle Azioni dell’UE per Combattere la Resistenza Antimicrobica con un Approccio “One Health””. Available online: https://health.ec.europa.eu/antimicrobial-resistance/eu-action-antimicrobial-resistance_it (accessed on 1 October 2023).
  5. Italian Ministry of Health. 2022 “Piano Nazionale di Contrasto all’Antibiotico-Resistenza (PNCAR) 2022–2025”. Available online: https://www.salute.gov.it/imgs/C_17_pubblicazioni_3294_allegato.pdf (accessed on 1 October 2023).
  6. The Medicines Utilisation Monitoring Centre. National Report on Antibiotics Use in Italy; Italian Medicines Agency: Rome, Italy, 2023; ISBN 979-12-80335-28-9.
  7. Shalit, I.; Low, M.; Levy, E.; Chowers, M.; Zimhony, O.; Riesenberg, K.; Bishara, J.; Raz, R. Antibiotic use in 26 departments of internal medicine in 6 general hospitals in Israel: Variability and contributing factors. J. Antimicrob. Chemother. 2008, 62, 196–204. [Google Scholar] [CrossRef]
  8. Kuster, S.P.; Ruef, C.; Ledergerber, B.; Hintermann, A.; Deplazes, C.; Neuber, L.; Weber, R. Quantitative antibiotic use in hospitals: Comparison of measurements, literature review, and recommendations for a standard of reporting. Infection 2008, 36, 549–559. [Google Scholar] [CrossRef]
  9. Iosifidis, E.; Antachopoulos, C.; Tsivitanidou, M.; Katragkou, A.; Farmaki, E.; Tsiakou, M.; Kyriazi, T.; Roilides, D.S.E. Differential correlation between rates of antimicrobial drug consumption and prevalence of antimicrobial resistance in a tertiary care hospital in Greece. Infect. Control Hosp. Epidemiol. 2008, 29, 615–622. [Google Scholar] [CrossRef]
  10. Ricciardi, W.; Giubbini, G.; Laurenti, P. Surveillance and Control of Antibiotic Resistance in the Mediterranean Region. Mediterr. J. Hematol. Infect. Dis. 2016, 8, e2016036. [Google Scholar] [CrossRef] [PubMed]
  11. Palma-Alvarez, R.F.; Duque-Yemail, J.; Ros-Cucurull, E.; Robles-Martínez, M.; Perea-Ortueta, M.; Grau-López, L.; Ramos-Quiroga, J.A. Quinolone-induced psychosis: An updated review. Actas Esp. Psiquiatr. 2020, 48, 126–137. [Google Scholar] [PubMed]
  12. Bell, B.G.; Schellevis, F.; Stobberingh, E.; Goossens, H.; Pringle, M. A systematic review and meta-analysis of the effects of antibiotic consumption on antibiotic resistance. BMC Infect. Dis. 2014, 14, 13. [Google Scholar] [CrossRef] [PubMed]
  13. Tang, K.W.K.; Millar, B.C.; Moore, J.E. Antimicrobial Resistance (AMR). Br. J. Biomed. Sci. 2023, 80, 11387. [Google Scholar] [CrossRef] [PubMed]
  14. Chae, J.; Kim, B.; Kim, D.S. Changes in antibiotic consumption patterns after the implementation of the National Action Plan according to the Access, Watch, Reserve (AWaRe) classification system. Int. J. Infect. Dis. 2022, 122, 345–351. [Google Scholar] [CrossRef] [PubMed]
  15. Thangaraju, P.; Velmurugan, H.; Yella, S.S.T.; Venkatesan, S. Vigilance Needed in Treating Leprosy Patients in Accordance with WHO’s AWaRe. Recent Adv. Antiinfect. Drug Discov. 2022, 17, 95–102. [Google Scholar] [CrossRef] [PubMed]
  16. The Lancet Microbe. AMR is more complicated than a lack of drugs. Lancet Microbe 2023, 4, e851. [Google Scholar] [CrossRef]
  17. Doi, Y. Treatment Options for Carbapenem-resistant Gram-negative Bacterial Infections. Clin. Infect. Dis. 2019, 69 (Suppl. S7), S565–S575. [Google Scholar] [CrossRef]
  18. Ferrara, F.; Zovi, A.; Nava, E.; Trama, U.; Vitiello, A. SARS-CoV-2 caused a surge in antibiotic consumption causing a silent pandemic inside the pandemic. A retrospective analysis of Italian data in the first half of 2022. Ann. Pharm. Fr. 2023, 81, 627–635. [Google Scholar] [CrossRef]
  19. Ferrara, F.; Zovi, A.; Nava, E.; Trama, U.; Sorrentino, S.; Vitiello, A. Il contrasto dell’antibiotico-resistenza: Serve una nuova linea di azione [Countering antibiotic resistance: A new course of action is needed]. Recenti Prog. Med. 2023, 114, 277–283. (In Italian) [Google Scholar] [CrossRef] [PubMed]
  20. Zavaleta, E.; Ferrara, F.; Zovi, A.; Díaz-Madriz, J.P.; Fallas-Mora, A.; Serrano-Arias, B.; Valentino, F.; Arguedas-Chacón, S.; Langella, R.; Trama, U.; et al. Antibiotic Consumption in Primary Care in Costa Rica and Italy: A Retrospective Cross-Country Analysis. Cureus 2023, 15, e41414. [Google Scholar] [CrossRef]
  21. Hussein, R.R.; Rabie, A.S.I.; Bin Shaman, M.; Shaaban, A.H.; Fahmy, A.M.; Sofy, M.R.; Lattyak, E.A.; Abuelhana, A.; Naguib, I.A.; Ashour, A.M.; et al. Antibiotic consumption in hospitals during COVID-19 pandemic: A comparative study. J. Infect. Dev. Ctries 2022, 16, 1679–1686. [Google Scholar] [CrossRef] [PubMed]
  22. Grau, S.; Hernández, S.; Echeverría-Esnal, D.; Almendral, A.; Ferrer, R.; Limón, E.; Horcajada, J.P.; Catalan Infection Control and Antimicrobial Stewardship Program (VINCat-PROA). Antimicrobial Consumption among 66 Acute Care Hospitals in Catalonia: Impact of the COVID-19 Pandemic. Antibiotics 2021, 10, 943. [Google Scholar] [CrossRef] [PubMed]
  23. Langford, B.J.; Soucy, J.R.; Leung, V.; So, M.; Kwan, A.T.H.; Portnoff, J.S.; Bertagnolio, S.; Raybardhan, S.; MacFadden, D.R.; Daneman, N. Antibiotic resistance associated with the COVID-19 pandemic: A systematic review and meta-analysis. Clin. Microbiol. Infect. 2023, 29, 302–309. [Google Scholar] [CrossRef]
  24. Ferrara, F.; Vitiello, A. Scientific Hypothesis for Treatment of COVID-19’s Lung Lesions by Adjusting ACE/ACE2 Imbalance. Cardiovasc. Toxicol. 2021, 21, 498–503. [Google Scholar] [CrossRef] [PubMed]
  25. Rehman, S. A parallel and silent emerging pandemic: Antimicrobial resistance (AMR) amid COVID-19 pandemic. J. Infect. Public Health 2023, 16, 611–617. [Google Scholar] [CrossRef]
  26. Ferrara, F.; Mancaniello, C.; Nava, L.; Salierno, A.; Casillo, R.; Trama, U.; Nava, E.; Vitiello, A. Could Decreased Reporting of Suspected Adverse Reactions Generate Future Safety Concerns? Hosp. Pharm. 2022, 57, 419–421. [Google Scholar] [CrossRef]
  27. Vitiello, A.; Ferrara, F. A short focus, azithromycin in the treatment of respiratory viral infection COVID-19: Efficacy or inefficacy? Immunol. Res. 2022, 70, 129–133. [Google Scholar] [CrossRef]
  28. Huemer, M.; Mairpady Shambat, S.; Brugger, S.D.; Zinkernagel, A.S. Antibiotic resistance and persistence-Implications for human health and treatment perspectives. EMBO Rep. 2020, 21, e51034. [Google Scholar] [CrossRef] [PubMed]
  29. Pang, Z.; Raudonis, R.; Glick, B.R.; Lin, T.J.; Cheng, Z. Antibiotic resistance in Pseudomonas aeruginosa: Mechanisms and alternative therapeutic strategies. Biotechnol. Adv. 2019, 37, 177–192. [Google Scholar] [CrossRef] [PubMed]
  30. Eisenreich, W.; Rudel, T.; Heesemann, J.; Goebel, W. Link Between Antibiotic Persistence and Antibiotic Resistance in Bacterial Pathogens. Front. Cell. Infect. Microbiol. 2022, 12, 900848. [Google Scholar] [CrossRef] [PubMed]
  31. Wang, H.; Wang, H.; Yu, X.; Zhou, H.; Li, B.; Chen, G.; Ye, Z.; Wang, Y.; Cui, X.; Zheng, Y.; et al. Impact of antimicrobial stewardship managed by clinical pharmacists on antibiotic use and drug resistance in a Chinese hospital, 2010–2016: A retrospective observational study. BMJ Open 2019, 9, e026072. [Google Scholar] [CrossRef] [PubMed]
  32. Shawki, M.A.; AlSetohy, W.M.; Ali, K.A.; Ibrahim, M.R.; El-Husseiny, N.; Sabry, N.A. Antimicrobial stewardship solutions with a smart innovative tool. J. Am. Pharm. Assoc. 2021, 61, 581–588.e1. [Google Scholar] [CrossRef] [PubMed]
  33. Ferrara, F.; Nava, L.; Trama, U.; Nava, E.; Vitiello, A. The Slow Path to Therapeutic Adherence. Hosp. Pharm. 2022, 57, 593–595. [Google Scholar] [CrossRef] [PubMed]
  34. Abate, G.; Wang, G.; Frisby, J. Ceftaroline: Systematic Review of Clinical Uses and Emerging Drug Resistance. Ann. Pharmacother. 2022, 56, 1339–1348. [Google Scholar] [CrossRef]
  35. Collado, R.; Losa, J.E.; Álvaro, E.A.; Toro, P.; Moreno, L.; Pérez, M. Evaluación del consumo de antimicrobianos mediante DDD/100 estancias versus DDD/100 altas en la implantación de un Programa de Optimización del Uso de Antimicrobianos [Measurement of antimicrobial consumption using DDD per 100 bed-days versus DDD per 100 discharges after the implementation of an antimicrobial stewardship program]. Rev. Esp. Quimioter. 2015, 28, 317–321. [Google Scholar]
  36. Dickstein, Y.; Temkin, E.; Ben-David, D.; Carmeli, Y.; Schwaber, M.J. Antimicrobial use trends, Israel, 2012 to 2017. Eurosurveillance 2019, 24, 1900022. [Google Scholar] [CrossRef]
  37. Capuozzo, M.; Celotto, V.; Zovi, A.; Langella, R.; Ferrara, F. Recovery of suspended reimbursements of high-cost drugs subjected to monitoring registries and negotiated agreements (MEAs): A tool for governance and clinical appropriateness in the Italian reality. Eur. J. Health Econ. 2024, 25, 1–5. [Google Scholar] [CrossRef] [PubMed]
  38. Ferrara, F.; Trama, U.; Nava, E.; Capuozzo, M.; Zovi, A.; Valentino, F.; Langella, R. Atrial fibrillation therapy with new oral anticoagulants: A real-world evidence study. Int. J. Healthc. Manag. 2023, 1, 1–4. [Google Scholar] [CrossRef]
  39. Ferrara, F.; Zovi, A.; Langella, R.; Cavallaro, F.; Nava, E.; Trama, U.; Vitiello, A. New drugs for type 2 diabetes mellitus: The challenge of the health care sustainability combined with a better patient care access. Int. J. Healthc. Manag. 2023, 1, 1–6. [Google Scholar] [CrossRef]
Table 1. DDD values calculated for the various classes of systemic antibiotics at the Policlinico Umberto I hospital and ASL Napoli 3 South.
Table 1. DDD values calculated for the various classes of systemic antibiotics at the Policlinico Umberto I hospital and ASL Napoli 3 South.
AO Policlinico Umberto 1ASL Napoli 3 South
IndicatorDescription IndicatorDDD per 100 Regular Hospitalization Days 1H 2023IndicatorDDD per 100 Regular Hospitalization Days 1H 2023Indicator
A1rates of J01 per 100 hospital days in ordinary regimen312,828.70211.3063,671.86118.20
A2J01 rates per 100 ordinary discharges312,828.702063.9063,671.86868.65
A3tetracycline rates (J01A) per 100 hospital days5628.003.80346.500.64
A4rates of penicillins and betalactams (J01C) per 100 hospital days84,013.7056.7015,781.4829.30
A5rates of other betalactams (J01D) per 100 hospital days91,294.9061.7023,509.2543.64
A6rates of cephalosporins (J01DD) per 100 hospital days32,099.4021.7014,531.5826.98
A7rates of carbapenems (J01DH) per 100 hospital days28,768.9019.402331.004.33
A8carbapenemi (J01DH) rates per 100 discharges28,768.90189.802331.0031.80
A9rates of sulphonamides and trimethoprim (J01EE) per 100 hospital days5010.003.40126.990.24
A9BISrates of cephalosporins IV gen. (J01DE) per 100 hospital days5466.503.70185.000.34
A10rates of macrolides, lincosamides and streprogramins (J01F) per 100 hospital days23,407.3015.807790.1714.46
A11rates of quinolones (J01M) per 100 hospital days3990.502.709091.5016.88
A12fluoroquinolone (J01MA) rates per 100 hospital days16,133.0010.909091.5016.88
A13rates of fluoroquinolones (J01MA) per 100 discharges16,133.00106.409091.50124.03
A14glycopeptide rates (J01XA) per 100 hospital days18,704.5012.601092.502.03
A15colistin rates (J01XB01) per 100 hospital days9792.506.60398.640.74
Table 2. DDD values, over the two-year period 2022–2023, for the various classes of systemic antibiotics at the Policlinico Umberto I hospital and ASL Napoli 3 South.
Table 2. DDD values, over the two-year period 2022–2023, for the various classes of systemic antibiotics at the Policlinico Umberto I hospital and ASL Napoli 3 South.
AO Policlinico Umberto 1ASL Napoli 3 South
IndicatorDescription IndicatorIndicatorIndicator∆%IndicatorIndicator∆%
1H 20221H 20231H 20221H 2023
A1rates OF J01 per 100 hospital days in ordinary regimen207.90211.31.60%83.62118.2029%
A2J01 rates per 100 ordinary discharges2228.102063.90−7.40%624.68868.6528%
A3tetracycline rates (J01A) per 100 hospital days4.803.80−21.60%0.990.64−54%
A4rates of penicillins and betalactams (J01C) per 100 hospital days52.8056.707.50%10.6029.3064%
A5rates of other betalactams (J01D) per 100 hospital days5661.7010.10%25.4443.6442%
A6rates of cephalosporins (J01DD) per 100 hospital days18.8021.7015.50%22.1726.9818%
A7rates of carbapenems (J01DH) per 100 hospital days1919.402.30%2.964.3332%
A8carbapenemi (J01DH) rates per 100 discharges203.50189.80−6.70%22.0831.8031%
A9rates of sulphonamides and trimethoprim (J01EE) per 100 hospital days3.203.405.90%0.480.24−103%
A9BISrates of cephalosporins IV gen. (J01DE) per 100 hospital days2.803.7030.40%0.260.3426%
A10rates of macrolides, lincosamides and streprogramins (J01F) per 100 hospital days15.9015.80−0.60%21.6814.46−50%
A11rates of quinolones (J01M) per 100 hospital days3.402.70−19.60%15.3016.889%
A12fluoroquinolone (J01MA) rates per 100 hospital days1110.90−0.70%15.3016.889%
A13rates of fluoroquinolones (J01MA) per 100 discharges117.60106.40−9.50%114.30124.038%
A14glycopeptide rates (J01XA) per 100 hospital days14.5012.60−12.70%1.762.0313%
A15colistin rates (J01XB01) per 100 hospital days9.506.60−30.70%0.830.74−13%
Table 3. Number of discharges and hospitalizations calculated for Policlinico Umberto I over the two-year period 2022–2023.
Table 3. Number of discharges and hospitalizations calculated for Policlinico Umberto I over the two-year period 2022–2023.
Departments1H 2022 (Indicator)1H 2023 (Indicator)
n. ResignedGG Hospitalisationn. ResignedGG Hospitalisation
ALaparoscopic, orthopedic and trauma, plastic and breast surgery188111,965232714,285
BCardiology, vascular surgery, NICU, cardiac surgery170717,982204118,078
CAnaesthesia and resuscitation, intensive care, and emergency surgery126223,513127122,066
DHaematology, oncology, and dermatology36658923346072
EInfectious diseases, diabetes, pulmonology, and cystic fibrosis135824,694142124,325
FDialysis and nephrology, geriatrics, rheumatology, and internal medicine124022,646125420,754
GUrology, gynaecology and obstetrics, paediatrics, and gastroenterology363018,364396020,299
HNeurosurgery, neurology, and psychiatry122915,157153217,337
IOtolaryngology, ophthalmology, dentistry, maxillo-facial surgery762375310174852
Total12,673143,96615,157148,068
Table 4. Number of discharges and hospitalizations calculated over the two-year period 2022–2023 for ASL Napoli 3 South.
Table 4. Number of discharges and hospitalizations calculated over the two-year period 2022–2023 for ASL Napoli 3 South.
Hospital1H 2022 (Indicator)1H 2023 (Indicator)
n. ResignedGG Hospitalisationn. ResignedGG Hospitalisation
Area Stabiese215816,455225917,036
Torre del Greco64060144704565
Boscotrecase66391308377638
Penisola Sorrentina149410,678162811,080
Area Nolana240712,781213613,548
Total721353,884733053,867
Table 5. Indicators used for analyzing and monitoring antibiotic consumption in hospital settings.
Table 5. Indicators used for analyzing and monitoring antibiotic consumption in hospital settings.
Cod. IndicatorDescription
Indicator
A1rates of J01 per 100 hospital days in ordinary regimen
A2J01 rates per 100 ordinary discharges
A3tetracycline rates (J01A) per 100 hospital days
A4rates of penicillins and betalactams (J01C) per 100 hospital days
A5rates of other betalactams (J01D) per 100 hospital days
A6rates of cephalosporins (J01DD) per 100 hospital days
A7rates of carbapenems (J01DH) per 100 hospital days
A8carbapenemi (J01DH) rates per 100 discharges
A9rates of sulphonamides and trimethoprim (J01EE) per 100 hospital days
A9BISrates of cephalosporins IV gen. (J01DE) per 100 hospital days
A10rates of macrolides, lincosamides and streprogramins (J01F) per 100 hospital days
A11rates of quinolones (J01M) per 100 hospital days
A12fluoroquinolone (J01MA) rates per 100 hospital days
A13rates of fluoroquinolones (J01MA) per 100 discharges
A14glycopeptide rates (J01XA) per 100 hospital days
A15colistin rates (J01XB01) per 100 hospital days
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ferrara, F.; Pasquinucci, R.; Capuozzo, M.; Polito, G.; Bagaglini, G.; Vaccaro, M.; Coluccia, A.; Langella, R.; Trama, U.; Nava, E.; et al. Comparison and Analysis of Antibiotic Consumption in Two Italian Hospital Settings in Relation to the Fight of Antimicrobial Resistance. Pharmaceuticals 2024, 17, 183. https://doi.org/10.3390/ph17020183

AMA Style

Ferrara F, Pasquinucci R, Capuozzo M, Polito G, Bagaglini G, Vaccaro M, Coluccia A, Langella R, Trama U, Nava E, et al. Comparison and Analysis of Antibiotic Consumption in Two Italian Hospital Settings in Relation to the Fight of Antimicrobial Resistance. Pharmaceuticals. 2024; 17(2):183. https://doi.org/10.3390/ph17020183

Chicago/Turabian Style

Ferrara, Francesco, Roberta Pasquinucci, Maurizio Capuozzo, Giacomo Polito, Gabriele Bagaglini, Marcello Vaccaro, Adriana Coluccia, Roberto Langella, Ugo Trama, Eduardo Nava, and et al. 2024. "Comparison and Analysis of Antibiotic Consumption in Two Italian Hospital Settings in Relation to the Fight of Antimicrobial Resistance" Pharmaceuticals 17, no. 2: 183. https://doi.org/10.3390/ph17020183

APA Style

Ferrara, F., Pasquinucci, R., Capuozzo, M., Polito, G., Bagaglini, G., Vaccaro, M., Coluccia, A., Langella, R., Trama, U., Nava, E., & Zovi, A. (2024). Comparison and Analysis of Antibiotic Consumption in Two Italian Hospital Settings in Relation to the Fight of Antimicrobial Resistance. Pharmaceuticals, 17(2), 183. https://doi.org/10.3390/ph17020183

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop