| Literature DB >> 33848884 |
Soumya Ghosh1, Charné Bornman1, Mai M Zafer2.
Abstract
Antimicrobial resistance (AMR) continues to exert a substantial toll on the global health and world economy and is now expected to be hidden by COVID-19 for a while. The wrong consumption of antibiotics during the COVID-19 pandemic will raise disastrous effects on AMR management and antibiotic stewardship programs. This is related to the concerns extrapolated due to an increase in mortality rates in patients with bacterial coinfections. Importantly, the immune system of COVID-19 patients in regions with high AMR may be fighting on two fronts altogether, the virus and MDR bacteria. Current control policies to manage AMR and prioritization of antibiotic stewardship plans are mandatory during this pandemic. This review aims to discuss the rising concerns of the excess use of antibiotics in COVID-19 patients highlighting the role of bacterial coinfections in these patients. Types of prescribed antibiotics and the development of antibiotic resistance is addressed as well.Entities:
Keywords: Antimicrobial resistance; COVID-19; Secondary bacterial infection; Stewardship
Year: 2021 PMID: 33848884 PMCID: PMC7934675 DOI: 10.1016/j.jiph.2021.02.011
Source DB: PubMed Journal: J Infect Public Health ISSN: 1876-0341 Impact factor: 3.718
Different antibiotics prescribed to COVID-19 patients and their known AMR threats.
| Prescribed antibiotics in cases of Covid-19 | Antimicrobial resistance (known) | No. of patients and geographical location | Total | References |
|---|---|---|---|---|
| Azithromycin, clarithromycin (macrolides) | 18% Wuhan (25/138) | 54/250 (22%) | [ | |
| 32% Italy (17/53) | ||||
| 21% Spain (10/48) | ||||
| 18% Thailand (2/11) | ||||
| Moxifloxacin (fluoroquinolones) | 64% Wuhan (88/138) | 127/205 (62%) | [ | |
| 58% Wuhan (39/67) | ||||
| Ceftriaxone, Cefoxatime (cephalosporins) | 25% Wuhan (35/138) | 112/338 (33%) | [ | |
| 32% Italy (17/53) | ||||
| 36% France (14/39) | ||||
| 46% Spain (22/48) | ||||
| 38% Hong Kong (19/49) | ||||
| 45% Thailand (5/11) | ||||
| Piperacillin-tazobactam, Oxacillin, Amoxicillin (penicillin-like) | 51% France (20/39) | 41/141 (29%) | [ | |
| 16% Italy (9/53) | ||||
| 25% Hong Kong (12/49) | ||||
| Linezolid (oxazolidinone) | 16% Italy (9/53) | 18/101 (17%) | [ | |
| 19% Spain (9/48) | ||||
| levofloxacin (quinolone) | 35% Spain (17/48) | 17/48 (35%) | [ | |
| Meropenem (carbapenem) | 25% Hong Kong (12/49) | 12/49 (25%) | [ |
Fig. 1Percentage (per study) of patients receiving specific antibiotics and total percentage of patients they were prescribed to.
Percentage of patients receiving antibiotics and percentage of confirmed secondary infections.
| % Covid-19 patients treated with antibiotics | Confirmed secondary bacterial infection | Infecting agent (where reported) | Geographical location | References |
|---|---|---|---|---|
| 41/41 (100%) | 4/41 (10%) | – | Wuhan, China | [ |
| 49/52 (94%) | 1/94 (1%) | Wuhan, China | [ | |
| 26/53 (49%) | 16/53 (30%) | Milan, Italy | [ | |
| 39/92 (42%) | 26/92 (28%) | France | [ | |
| 181/191 (95%) | 28/191 (15%) | – | Wuhan, China | [ |
| 143/150 (95%) | 12/150 (8%) | – | Wuhan China | [ |
| 42/48 (88%) | 6/48 (13%) | Vitoria, Spain | [ | |
| 37/298 (12%) | 30/298 (10%) | – | Shenzhen City, China | [ |
| 319/476 (67%) | 35/410 (9%) | – | Wuhan, Shanghai, and Anhui (China) | [ |
| 49/49 (100%) | 2/49 (4%) | Hong Kong, China | [ | |
| 6/11(55%) | 6/11 (55%) | Bangkok, Thailand | [ | |
| 66/67 (99%) | 3/28 (11%) | Wuhan, China | [ | |
| 1824/2536 (72%) | 190/1923 (10%) |
Fig. 2Different infecting agents' prevalence and location they appeared.
It represents the different bacteria that were found when testing patients in the respective studies as outlined in Table 2, giving the study locations, types of infections caused by and prevalence of each bacteria [[54], [55], [56], [57], [58], [59], [60], [61], [62], [63]].