| Literature DB >> 31238896 |
Bongyoung Kim1, Rangmi Myung2, Myoung-Jae Lee3, Jieun Kim1, Hyunjoo Pai4.
Abstract
BACKGROUND: The objective of this study is to describe the changes in prescribing practices of antibiotics to treat acute pyelonephritis (APN) in Korea.Entities:
Keywords: Acute pyelonephritis; Antibiotic consumption; Korea; National health insurance; Resistance; Stewardship
Mesh:
Substances:
Year: 2019 PMID: 31238896 PMCID: PMC6593604 DOI: 10.1186/s12879-019-4191-0
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Flow diagram showing the process of selecting events with acute pyelonephritis (APN) based on the National Health Insurance claim data
Fig. 2Average antibiotic consumption per acute pyelonephritis event in Korea by age group, 2010–2014
Fig. 3Annual average antibiotic consumption in inpatients and outpatients of acute pyelonephritis event in Korea by administration route (parenteral VS. per oral), 2010–2014
Fig. 4Proportion of antibiotic classes used for the treatment of acute pyelonephritis events in Korea, 2010–2014. a Inpatients b Outpatients
Annual average consumption of antibiotics classes per acute pyelonephritis event in Korea, 2010–2014
| Antibiotic class | Inpatients (DDD/event) | Outpatients (DDD/event) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010 | 2011 | 2012 | 2013 | 2014 | 2014/2010 (%) |
| 2010 | 2011 | 2012 | 2013 | 2014 | 2014/2010 (%) |
| |
| 1st CEPs | 0.64 | 0.57 | 0.51 | 0.44 | 0.36 | 56.3 | < 0.001 | 0.22 | 0.21 | 0.20 | 0.17 | 0.16 | 72.7 | 0.002 |
| 2nd CEPs | 0.80 | 0.72 | 0.63 | 0.30 | 0.64 | – | 0.068 | 0.61 | 0.61 | 0.62 | 0.62 | 0.51 | – | 0.233 |
| 3rd CEPs | 4.11 | 4.45 | 4.68 | 4.94 | 5.14 | 125.1 | < 0.001 | 0.67 | 0.75 | 0.83 | 0.82 | 0.83 | 123.9 | 0.049 |
| 4th CEPs | 0.05 | 0.05 | 0.05 | 0.05 | 0.06 | – | 0.162 | – | – | – | – | – | – | – |
| AGs | 0.07 | 0.06 | 0.06 | 0.04 | 0.03 | 42.9 | 0.004 | 0.24 | 0.22 | 0.17 | 0.15 | 0.13 | 54.2 | 0.002 |
| BL/BLIs | 0.67 | 0.71 | 0.71 | 0.73 | 0.75 | 111.9 | 0.008 | 0.43 | 0.42 | 0.42 | 0.43 | 0.39 | – | 0.294 |
| Carbapenems | 0.28 | 0.42 | 0.54 | 0.69 | 0.87 | 310.7 | < 0.001 | 0.02 | 0.03 | 0.03 | 0.04 | 0.04 | 200.0 | 0.001 |
| FQs | 3.35 | 3.33 | 3.22 | 3.18 | 3.02 | 90.1 | 0.010 | 3.29 | 3.29 | 3.25 | 3.28 | 3.28 | – | 0.555 |
| Penicillins | 0.14 | 0.11 | 0.10 | 0.08 | 0.09 | 64.3 | 0.014 | 0.14 | 0.11 | 0.10 | 0.08 | 0.06 | 42.9 | 0.001 |
| SXT | 0.10 | 0.08 | 0.08 | 0.08 | 0.09 | – | 0.575 | 0.10 | 0.09 | 0.09 | 0.09 | 0.09 | – | 0.538 |
Abbreviations: DDD Defined daily dose, 1 CEPs 1st generation cephalosporins, 2 CEPs 2nd generation cephalosporins, 3 CEPs 3rd generation cephalosporins, 4 CEPs 4th generation cephalosporins, AGs Aminoglycosides, BL/BLIs Beta-lactam/beta-lactamase inhibitors, FQs Fluoroquinolones, SXT Trimethoprim/sulfamethoxazole