| Literature DB >> 34223149 |
Abstract
Antibiotics underpin the 'modern medicine' that has increased life expectancy, leading to societies with sizeable vulnerable elderly populations who have suffered disproportionately during the current COVID-19 pandemic. Governments have responded by shuttering economies, limiting social interactions and refocusing healthcare. There are implications for antibiotic resistance both during and after these events. During spring 2020, COVID-19-stressed ICUs relaxed stewardship, perhaps promoting resistance. Counterpoised to this, more citizens died at home and total hospital antibiotic use declined, reducing selection pressure. Restricted travel and social distancing potentially reduced community import and transmission of resistant bacteria, though hard data are lacking. The future depends on the vaccines now being deployed. Unequivocal vaccine success should allow a swift return to normality. Vaccine failure followed by extended and successful non-pharmaceutical suppression may lead to the same point, but only after some delay, and with indefinite travel restrictions; sustainability is doubtful. Alternatively, failure of vaccines and control measures may prompt acceptance that we must live with the virus, as in the prolonged 1889-94 'influenza' (or coronavirus OC43) pandemic. Vaccine failure scenarios, particularly those accepting 'learning to live with the virus', favour increased outpatient management of non-COVID-19 infections using oral and long t ½ antibiotics. Ultimately, all models-except those envisaging societal collapse-suggest that COVID-19 will be controlled and that hospitals will revert to pre-2020 patterns with a large backlog of non-COVID-19 patients awaiting treatment. Clearing this will increase workloads, stresses, nosocomial infections, antibiotic use and resistance. New antibiotics, including cefiderocol, are part of the answer.Entities:
Year: 2021 PMID: 34223149 PMCID: PMC8210049 DOI: 10.1093/jacamr/dlab052
Source DB: PubMed Journal: JAC Antimicrob Resist ISSN: 2632-1823
Figure 1.Three measures of changing lifespan for men in the UK. Data Source: Office for National Statistics. LE, life expectancy. Patterns for women are similar though life expectancy is slightly longer.
Figure 2.Incidence of E. coli bacteraemia in England and Wales, by age. Data source: PHE.
Figure 3.First wave deaths from COVID-19 in France (strict lockdown; 13.8% Q2 fall in GDP), UK (moderate lockdown; 20.4% Q2 fall in GDP) and Sweden (no lockdown; 8.6% Q2 fall in GDP).
Implications of different scenarios for resistance
| Scenario | Central prediction on COVID-19 | Sustainable | Push towards more treatment in the community with oral, OPAT and long | Surge of hospital activity to clear backlog | Travel; import of resistance |
|---|---|---|---|---|---|
| Vaccine overwhelmingly successful, and perceived as such | Burden no greater than seasonal influenza with this politically acceptable | Yes | Brief: until population vaccinated | Early | Briefly reduced, then normalized |
| Vaccine failure or perceived failure. Prolonged emphasis on track and trace | Control requires eternal vigilance but is achieved and maintained | Doubtful | Brief (if successful): until COVID-19 reduced to low incidence | Early (if suppression successful) | Reduced for prolonged period |
| Vaccine failure. Acceptance that virus is established, endemic and that lockdowns are ineffective or cause unacceptable collateral damage | Successive COVID-19 waves, ending in herd immunity; significant further direct mortality | Yes | Extended: until population immunity dominates | Delayed | Steady reversion to normality |
Arrows indicate predicted change in selection pressure from the pre-COVID-19 situation: upward, increased selection pressure; horizontal, reversion to status quo ante; downward, reduced selection pressure.
Vaccines against SARS-CoV-2
| Vaccine | Manufacturer | Type | Efficacy | Notes | Reference |
|---|---|---|---|---|---|
| BNT162b2 | Pfizer BioNTech | mRNA | 95% |
| |
| mRNA-1273 | Moderna | mRNA | 94.1% |
| |
| Sputnik | Gamaleya Institute | adenovirus vector | 91.4% |
| |
| ChAdOx1 nCoV-19 | AstraZeneca/Oxford University | adenovirus vector | 53.4%–90.0% | efficacy varied with subgroup, dosage and dosage interval |
|
| BBIBP-CorV | Sinopharm | inactivated virus | 79%–86% |
| |
| CoronaVac | Sinovac | inactivated virus | 50.4% |
|
Figure 4.Activity of recently licensed (USA and EU/UK) agents against problem groups of Gram-negative bacteria. Green, widely active (>90%); orange, variably active (50%–90%); red, rarely (<50%) or never active. aTrial evidence of efficacy.bIn-use evidence of clinical activity against P. aeruginosa likely, based on phenotypes, to have these mechanisms.cTrial evidence of efficacy.dIn-use evidence of efficacy and of better outcomes than colistin combinations.,eTrial evidence of better outcomes than colistin combinations.fTrial evidence of activity against imipenem-resistant P. aeruginosa, likely to have owed their phenotypes to combination of loss of porin OprD and expression of AmpC.gLicensing application withdrawn in EU. hMany isolates with NDM carbapenemases co-produce ArmA or RmtB 16S rRNA methyltransferases, conferring broad aminoglycoside resistance including plazomicin.iGood in vitro activity against carbapenemase-producing Enterobacterales, but trial failures in cUTI.jTrial evidence of activity.kMICs raised for isolates with NDM carbapenemase compared with those for isolates with other carbapenemases; the proportion of these that count as resistant will depend on the breakpoints used.lIn vitro activity, but excess mortality in CREDIBLE-CR study compared with colistin combinations, associated with Acinetobacter baumannii, suggesting the need for caution.