| Literature DB >> 31718688 |
Milo Gatti1, Emanuel Raschi2, Fabrizio De Ponti1.
Abstract
BACKGROUND: The management of Klebsiella pneumoniae carbapenemase producing (KPC) infections represents a major challenge. Several safety and efficacy concerns are shared by available antibiotics used in KPC infections, leading to the occurrence of serious adverse drug reactions (ADRs), with ceftazidime-avibactam possibly showing a more favourable risk-benefit profile. We investigated the potential impact of resistance on ADR reports in countries with different prevalence of KPC isolates (Italy vs. United Kingdom [UK]), and described safety profile of newer and older antibiotics used in KPC infections.Entities:
Keywords: Adverse drug reactions; Ceftazidime/avibactam; Colistin; Gentamicin; KPC outbreak; Meropenem; Tigecycline
Mesh:
Substances:
Year: 2019 PMID: 31718688 PMCID: PMC6852729 DOI: 10.1186/s40360-019-0364-0
Source DB: PubMed Journal: BMC Pharmacol Toxicol ISSN: 2050-6511 Impact factor: 2.483
Demographic data on overall adverse events with colistin, meropenem, tigecycline, gentamicin and ceftazidime/avibactam in FAERS, AIFA and Yellow Card Scheme Databases. In parenthesis, percentage of total is reported
| Colistin | Meropenem | Tigecycline | Gentamicin | Ceftazidime-Avibactam | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FDA | UK | IT | FDA | UK | IT | FDA | UK | IT | FDA | UK | IT | FDA | UK | IT | |
| ADR features | |||||||||||||||
| Overall reports | 783 | 87 | 129 | 6013 | 445 | 494 | 1879 | 93 | 135 | 5342 | 407 | 272 | 213 | 14 | 23 |
| Overall serious reports | 737 (94.1) | 81 (93.1) | 52 (40.3) | 5840 (97.1) | 377 (84.7) | 209 (42.3) | 1701 (90.5) | 85 (91.4) | 64 (47.4) | 4901 (91.7) | 367 (90.2) | 95 (34.9) | 180 (84.5) | 14 (100) | 17 (73.9) |
| Overall Drug-SOC pairs | 2564 | 284 | 225 | 22,557 | 1019 | 761 | 5373 | 216 | 219 | 19,495 | 823 | 432 | 510 | 32 | 39 |
| Age | |||||||||||||||
| 0–17 years | 82 (10.5) | 21 (24.2) | 6 (4.7) | 647 (10.7) | 59 (13.3) | 43 (8.7) | 51 (2.7) | 4 (4.3) | 2 (1.5) | 654 (12.3) | 41 (10.1) | 41 (15.1) | 9 (4.2) | 5 (35.7) | 0 (0) |
| 18–64 years | 396 (50.6) | 44 (50.6) | 62 (48.1) | 2596 (43.2) | 240 (53.9) | 192 (38.9) | 726 (38.6) | 45 (48.3) | 64 (47.4) | 2118 (39.6) | 191 (46.9) | 107 (39.3) | 79 (37.1) | 3 (21.4) | 8 (34.8) |
| > 65 years | 165 (21.1) | 11 (12.6) | 41 (31.8) | 1964 (32.7) | 105 (23.6) | 254 (51.4) | 583 (31.1) | 22 (23.7) | 68 (50.4) | 1645 (30.8) | 140 (34.4) | 121 (44.5) | 45 (21.1) | 2 (14.3) | 6 (26.1) |
| Unknown | 140 (17.8) | 11 (12.6) | 20 (15.4) | 806 (13.4) | 41 (9.2) | 5 (1) | 519 (27.6) | 22 (23.7) | 1 (0.7) | 925 (17.3) | 35 (8.6) | 3 (1.1) | 80 (37.6) | 4 (28.6) | 9 (39.1) |
| Sex | |||||||||||||||
| Male | 369 (47.1) | 31 (35.6) | 62 (48.1) | 3014 (50.1) | 195 (43.8) | 247 (50) | 834 (44.4) | 44 (47.3) | 68 (50.4) | 2421 (45.3) | 199 (48.9) | 128 (47.1) | 88 (41.3) | 5 (35.7) | 14 (60.9) |
| Female | 306 (39.1) | 50 (57.5) | 64 (49.6) | 2433 (40.5) | 217 (48.8) | 242 (49) | 732 (39) | 44 (47.3) | 66 (48.9) | 2353 (44.1) | 183 (45) | 142 (52.2) | 65 (30.5) | 8 (57.1) | 6 (26.1) |
| Unknown | 108 (13.8) | 6 (6.9) | 3 (2.3) | 566 (9.4) | 33 (7.4) | 5 (1) | 313 (16.6) | 5 (5.4) | 1 (0.7) | 568 (10.6) | 25 (6.1) | 2 (0.7) | 60 (28.2) | 1 (7.2) | 3 (13) |
FDA FAERS Database, UK Yellow Card Scheme Database, IT AIFA Database
Most frequently reported SOCs and PTs for each antibiotic with proven efficacy against CRE in different spontaneous reporting systems
| Faers | Italy | UK | ||||
|---|---|---|---|---|---|---|
| SOC | PT | SOC | PT | SOC | PT | |
| Colistin | General 12.8% | Acute kidney injury 4.8% | Respiratory 16.4% | Acute kidney injury 10.7% | Investigation 17.0% | Acute kidney injury 8.5% |
| Renal 8.9% | Drug ineffective 3.0% | Skin 15.6% | Oral paraesthesia 5.3% | Renal 14.1% | Blood creatinine increased 3.2% | |
| Infections 8.9% | Drug resistance 2.4% | Renal 15.1% | Pruritus 4.9% | General 13.4% | Drug interaction 3.2% | |
| Respiratory 4.9% | Pathogen resistance 1.8% | Nervous 11.6% | Erythema 4.4% | Nervous 9.4% | Blood urea increased 2.8% | |
| Nervous 4.7% | Multiple organ dysfunction syndrome 1.7% | General 11.1% | Cough 4.0% | Gastrointestinal 9.4% | Off-label use 2.1% | |
| Meropenem | General 9.9% | Drug ineffective 2.3% | Skin 48.2% | Erythema 11.4% | Skin 14.3% | Neutropenia 3.1% |
| Infections 8.0% | Pyrexia 1.9% | Blood 10.8% | Rash 8.4% | General 12.9% | Rash 2.3% | |
| Investigation 5.9% | Drug interaction 1.4% | General 7.6% | Urticaria 6.3% | Investigation 11.7% | Nausea 2.3% | |
| Skin 5.7% | Sepsis 1.1% | Respiratory 4.5% | Pruritus 5.0% | Blood 9.3% | Anaphylactic reaction 2.1% | |
| Blood 5.2% | Thrombocytopenia 1.1% | Gastrointestinal 4.1% | Thrombocytopenia 2.8% | Nervous 8.6% | Pyrexia – Liver function test abnormal 1.8% | |
| Tigecycline | General 13.1% | Drug ineffective 4.1% | Gastrointestinal 28.3% | Nausea 7.8% | General 17.2% | Liver function test abnormal 4.6% |
| Infections 9.4% | Death 2.2% | Skin 21.0% | Vomiting 6.8% | Gastrointestinal 16.7% | Drug ineffective 4.6% | |
| Gastrointestinal 7.9% | Nausea 2.2% | Investigation 11.9% | Erythema 5.9% | Investigation 14.3% | Nausea 3.7% | |
| Investigation 6.8% | Pancreatitis 2.1% | Hepatobiliary 8.7% | Rash 4.6% | Infections 11.8% | Acute pancreatitis 3.2% | |
| Blood 5.1% | Sepsis 1.7% | Blood 6.4% | Acute pancreatitis 4.1% | Ear 6.4% | Thrombocytopenia – Death 2.8% | |
| Gentamicin | General 9.0% | Acute kidney injury 4.4% | Skin 40.3% | Erythema 10.0% | Renal 13.9% | Acute kidney injury 8.0% |
| Renal 7.6% | Pyrexia 2.1% | Renal 11.8% | Urticaria 7.9% | Ear 11.9% | Hypotension 6.3% | |
| Infections 5.8% | Drug ineffective 1.4% | General 10.4% | Acute kidney injury 6.3% | Vascular 8.9% | Anaphylactic reaction 5.6% | |
| Skin 5.3% | Renal failure 1.3% | Eye 6.9% | Rash 6.0% | Nervous 8.4% | Ototoxicity 2.2% | |
| Investigations 4.6% | Dizziness 1.1% | Nervous 3.9% | Pruritus 4.6% | Immune 8.1% | Deafness 2.1% | |
| Ceftazidime/Avibactam | General 22.0% | Death 6.7% | General 28.2% | Thrombocytopenia 7.7% | Investigations 25.0% | Product use issue 18.8% |
| Infections 10.4% | Drug ineffective 5.9% | Infections 20.5% | Direct Coombs test positive 7.7% | Infections 18.8% | Hypernatraemia 15.6% | |
| Injury 8.0% | Off-label use 4.1% | Skin 12.8% | Septic shock 7.7% | Injury 18.8% | Platelet count decreased 6.3% | |
| Investigations 6.3% | Pathogen resistance 3.7% | Investigations 10.3% | Multiple organ dysfunction syndrome 7.7% | Metabolism 15.6% | ALT increased 6.3% | |
| Renal 4.9% | Drug resistance 3.5% | Blood 7.7% | Condition aggravated 7.7% | General 12.5% | Pathogen resistance 6.3% | |
Overall ADR reports collected from FAERS, AIFA and Yellow Card Scheme Databases in 1999–2018
| Antibiotics | 1999–2008a | 2009–2018d | |
|---|---|---|---|
| Colistin | |||
| FAERS (mean per year ± SD) | 8.1 ± 9.6 | 70.2 ± 51.4 | 0.00402 |
| AIFA (mean per year ± SD) | 0.4 ± 0.8 | 12.6 ± 9.3 | 0.0025 |
| Yellow Card Scheme (mean per year ± SD) | 1.7 ± 3.3 | 7.0 ± 3.0 | 0.0015 |
| Gentamicin | |||
| FAERS (mean per year ± SD) | 178 ± 70.5 | 356.2 ± 176.3 | 0.0119 |
| AIFA (mean per year ± SD) | 6.1 ± 4.3 | 22.9 ± 6.7 | < 0.001 |
| Yellow Card Scheme (mean per year ± SD) | 11.5 ± 4.5 | 29.2 ± 16.2 | 0.00732 |
| Meropenem | |||
| FAERS (mean per year ± SD) | 96.5 ± 46.9 | 504.8 ± 304.9 | 0.00214 |
| AIFA (mean per year ± SD) | 5.6 ± 2.9 | 45.5 ± 17.7 | < 0.001 |
| Yellow Card Scheme (mean per year ± SD) | 9.3 ± 4.3 | 35.2 ± 9.7 | < 0.001 |
| Tigecyclin | |||
| FAERSb (mean per year ± SD) | 101.3 ± 56.5 | 147.4 ± 40.6 | 0.21 |
| AIFAc(mean per year ± SD) | 0.7 ± 1.2 | 13.3 ± 6.3 | < 0.001 |
| Yellow Card Schemec(mean per year ± SD) | 10 ± 5.3 | 6.3 ± 3.5 | 0.35 |
| Ceftazidime-Avibactamd | |||
| FAERS (mean per year ± SD) | – | 53.3 ± 37.9 | – |
| AIFA (mean per year ± SD) | – | 7.67 ± 4.5 | – |
| Yellow Card Scheme (mean per year ± SD) | – | 7 ± 4.24 | – |
SD Standard deviation
a2002–2008 for AIFA Database
b2005–2008 for Tigecycline
c2006–2008 for Tigecycline
d2016–2018 for Ceftazidime-Avibactam
Serious ADR reports collected in AIFA and Yellow Card Scheme Databases
| Antibiotics | 1999–2008a | 2009–2018c | |
|---|---|---|---|
| Colistin | |||
| AIFA (mean per year ± SD) | 0.3 ± 0.5 | 5 ± 3.7 | 0.00291 |
| Yellow Card Scheme (mean per year ± SD) | 1.6 ± 3.3 | 6.5 ± 2.9 | 0.00264 |
| Gentamicin | |||
| AIFA (mean per year ± SD) | 2.3 ± 2.4 | 7.9 ± 5.0 | 0.015 |
| Yellow Card Scheme (mean per year ± SD) | 10.7 ± 4.6 | 26 ± 14.7 | 0.00977 |
| Meropenem | |||
| AIFA (mean per year ± SD) | 2 ± 1.7 | 19.5 ± 7.3 | < 0.0001 |
| Yellow Card Scheme (mean per year ± SD) | 7.9 ± 4.5 | 29.8 ± 8.5 | < 0.001 |
| Tigecyclin | |||
| AIFAb(mean per year ± SD) | 0.3 ± 0.6 | 6.3 ± 3.0 | < 0.001 |
| Yellow Card Schemeb(mean per year ± SD) | 9.3 ± 4.6 | 5.7 ± 3.4 | 0.30 |
| Ceftazidime-Avibactamc | |||
| AIFA (mean per year ± SD) | – | 5.7 ± 4.0 | – |
| Yellow Card Scheme (mean per year ± SD) | – | 4.7 ± 5.0 | – |
SD Standard deviation
a2002–2008 for AIFA Database
b2006–2008 for Tigecycline
c2016–2018 for Ceftazidime-Avibactam
Figure 1Prevalence of KPC isolates collected in Italy (white squares) and UK (black triangles) from 2009 to 2017. Gradual increase in overall number of isolates was noted for both countries over time
Figure 2Relationship between carbapenem-resistant Kp isolates per year and overall and serious ADR reports per year concerning agents with proven efficacy against CRE (colistin, meropenem, tigecycline, gentamicin and ceftazidime-avibactam) from 2009 to 2017 (after the KPC outbreak) in Italy (white and grey squares identifying respectively overall and serious ADRs) and UK (black and grey triangles identifying respectively overall and serious ADRs). Significant positive correlations were found for both countries