| Literature DB >> 35622702 |
Sergey Avdeev1, Svetlana Rachina1, Yuliya Belkova2, Roman Kozlov2, Ann Versporten3, Ines Pauwels3, Herman Goossens3, Elena Bochanova4, Elena Elokhina5, Ulyana Portnjagina6, Olga Reshetko7, Igor Sychev8, Darya Strelkova1.
Abstract
The COVID-19 pandemic is a global public health challenge with understudied effects on antimicrobial usage. We aimed to analyze antimicrobial prescribing patterns in COVID-19 patients in Russian multi-field hospitals by means of the Global-PPS Project developed by the University of Antwerp. Out of 999 patients in COVID-19 wards in six hospitals surveyed in 2021, 51.3% received antimicrobials (79% in intensive care, 47.5% in medical wards). Systemic antivirals and antibiotics were prescribed to 31% and 35.1% of patients, respectively, and a combination of both to 14.1% of patients. The top antivirals administered were favipiravir (65%), remdesivir (19.2%), and umifenovir (15.8%); the top antibiotics were ceftriaxone (29.7%), levofloxacin (18%), and cefoperazone/sulbactam (10.4%). The vast majority of antibiotics was prescribed for treatment of pneumonia or COVID-19 infection (59.3% and 25.1%, respectively). Treatment was based on biomarker data in 42.7% of patients but was targeted only in 29.6% (6.7% for antibiotics). The rate of non-compliance with guidelines reached 16.6%. Antimicrobial prescribing patterns varied considerably in COVID-19 wards in Russian hospitals with groundlessly high rates of systemic antibiotics. Antimicrobial usage surveillance and stewardship should be applied to inpatient care during the COVID-19 pandemic.Entities:
Keywords: COVID-19; antimicrobials; hospital; point prevalence survey
Year: 2022 PMID: 35622702 PMCID: PMC9147532 DOI: 10.3390/tropicalmed7050075
Source DB: PubMed Journal: Trop Med Infect Dis ISSN: 2414-6366
Characteristics of the hospitals and detailed information on patients admitted to COVID-19 wards and treated with at least one antimicrobial.
| Characteristics | Site #1 | Site #2 | Site #3 | Site #4 | Site #5 | Site #6 | Total/Average |
|---|---|---|---|---|---|---|---|
| COVID-19 wards surveyed, n | 1 | 3 | 2 | 4 | 8 | 1 | 19 |
| medical wards | 0 | 1 | 0 | 2 | 5 | 1 | 9 |
| ICU | 0 | 0 | 0 | 2 | 3 | 0 | 5 |
| mixed wards (medical and intensive care beds) | 1 | 2 | 2 | 0 | 0 | 0 | 5 |
| Patients at the COVID-19 wards on the day of PPS, n | 110 | 67 | 313 | 133 | 306 | 70 | 999 |
| Patients receiving antimicrobials on the day of PPS, n | 70 | 35 | 106 | 116 | 161 | 24 | 512 |
| Sex, % of male | 35.7 | 68.6 | 34 | 39.7 | 36 | 45.8 | 39.1 |
| Average age, years | 61.6 ± 16.1 | 49 ± 16.5 | 53.2 ± 16.8 | 69 ± 15.6 | 70.8 ± 13.6 | 60.5 ± 12.9 | 61.7 ± 17 |
| Previous hospitalization, % | |||||||
| yes, ICU | 0 | 2.9 | 5.7 | 0 | 1.2 | 0 | 1.8 |
| yes, other | 0 | 31.4 | 23.6 | 0 | 13.7 | 8.3 | 11.7 |
| no | 0 | 65.7 | 4.7 | 81 | 83.2 | 83.3 | 53.9 |
| unknown | 100 | 0 | 66 | 19 | 1.9 | 8.3 | 32.6 |
| Previous antibiotic treatment, % | |||||||
| yes | 14.3 | 20 | 39.6 | 6 | 30.4 | 16.7 | 23.2 |
| no | 10 | 57.1 | 58.5 | 89.7 | 60.9 | 79.2 | 60.5 |
| unknown | 75.7 | 22.9 | 1.9 | 4.3 | 8.7 | 4.2 | 16.2 |
| Surgery during current admission in hospital, % | |||||||
| yes | 0 | 51.4 | 8.5 | 0.9 | 1.2 | 4.2 | 6.1 |
| no | 100 | 48.6 | 91.5 | 97.4 | 98.8 | 91.7 | 93.4 |
| unknown | 0 | 0 | 0 | 1.7 | 0 | 4.2 | 0.6 |
| Invasive device present on the day of PPS *, % | |||||||
| indwelling urinary catheter | 20 | 28.6 | 11.3 | 14.7 | 18 | 16.7 | 16.8 |
| peripheral vascular catheter | 54.3 | 31.4 | 12.3 | 65.5 | 60.2 | 100 | 50.6 |
| central vascular catheter | 0 | 25.7 | 19.8 | 19.8 | 13 | 4.2 | 14.6 |
| non-invasive ventilation (CPAP, BiPAP, etc.) ** | 11.4 | 2.9 | 14.2 | 7.8 | 14.9 | 4.2 | 11.3 |
| invasive mechanical ventilation | 4.3 | 2.9 | 4.7 | 4.3 | 4.3 | 0 | 4.1 |
| inserted tubes and drains | 0 | 11.4 | 2.8 | 0.9 | 0 | 0 | 1.6 |
* Calculated as number of admitted patients on antimicrobials with an invasive device/all admitted patients on antimicrobials. ** CPAP—constant positive airway pressure, BiPAP—bi-level positive airway pressure.
AMD use prevalence * in patients in COVID-19 wards on the day of PPS.
| Characteristics | Site #1 | Site #2 | Site #3 | Site #4 | Site #5 | Site #6 | Total/Average |
|---|---|---|---|---|---|---|---|
| Patients in the COVID-19 wards on the day of PPS, n | 110 | 67 | 313 | 133 | 306 | 70 | 999 |
| medical beds | 100 | 67 | 284 | 108 | 251 | 70 | 880 |
| intensive care beds | 10 | 0 | 29 | 25 | 55 | - | 119 |
| Antimicrobial prevalence, % | 63.6 | 52.2 | 33.9 | 87.2 | 52.6 | 34.3 | 51.3 |
| medical beds | 60 | 52.2 | 28.2 | 84.3 | 51 | 34.3 | 47.5 |
| intensive care beds | 100 | - | 89.7 | 100 | 60 | - | 79 |
| Antiviral prevalence, % | 42.7 | 44.8 | 17.9 | 56.4 | 31.7 | 7.1 | 31 |
| medical beds | 44 | 44.8 | 17.3 | 58.3 | 35.5 | 7.1 | 31.8 |
| intensive care beds | 30 | - | 24.1 | 48 | 14.5 | - | 25.2 |
| Antibiotic prevalence, % | 36.4 | 32.8 | 25.6 | 69.2 | 31.4 | 30 | 35.1 |
| medical beds | 30 | 32.8 | 19 | 62 | 26.7 | 30 | 29.7 |
| intensive care beds | 100 | - | 89.7 | 100 | 52.7 | - | 75.6 |
| Combination of antivirals and antibiotics, % | 15.5 | 25.4 | 9.9 | 38.3 | 7.8 | 1.4 | 14.1 |
| medical beds | 14 | 25.4 | 8.1 | 36.1 | 7.6 | 1.4 | 12.8 |
| intensive care beds | 30 | - | 27.6 | 48 | 9.1 | - | 23.5 |
* Prevalence is calculated as the number of patients on at least one antimicrobial or antiviral or antibiotic/number admitted patients on the day of the PPS.
The most common indications for therapeutic antibiotics (ATC J01, P01AB, A07AA) in patients in COVID-19 wards, %.
| Indication | Site #1 | Site #2 | Site #3 | Site #4 | Site #5 | Site #6 | Average |
|---|---|---|---|---|---|---|---|
| Pneumonia or lower respiratory tract infection | 92.9 | 69.6 | 85.7 | 41.5 | 33 | 100 | 59.3 |
| COVID-19 infection | 0 | 0 | 0 | 41.5 | 47.6 | 0 | 25.1 |
| 0 | 4.3 | 3.8 | 5.7 | 8.7 | 0 | 5 | |
| Upper urinary tract infection | 2.4 | 0 | 2.9 | 0 | 8.7 | 0 | 2.8 |
| Skin and soft tissue infection | 0 | 13 | 1.9 | 0 | 0 | 0 | 1.1 |
| Sepsis/bacteremia with no clear anatomic site | 4.8 | 0 | 1 | 8.8 | 0 | 0 | 3.7 |
| Bronchitis | 0 | 0 | 0 | 1.9 | 0 | 0 | 0.7 |
| Intra-abdominal infection | 0 | 0 | 1.9 | 0 | 0 | 0 | 0.4 |
| Obstetric/gynecological infection | 0 | 0 | 1.9 | 0 | 0 | 0 | 0.4 |
| Lower urinary tract infection | 0 | 0 | 1 | 0 | 1 | 0 | 0.4 |
| Other | 0 | 13 | 0 | 0.6 | 1 | 0 | 1.1 |
Overall proportional use of systemic AMD (antibiotics and antivirals) for the treatment of patients with “COVID-19/pneumonia”, % of prescriptions.
| Antibacterials | Site #1 | Site #2 | Site #3 | Site #4 | Site #5 | Site #6 | Average |
|---|---|---|---|---|---|---|---|
| Antivirals, % | |||||||
| favipiravir | 100 | 40 | 78.6 | 69.3 | 42.6 | 40 | 65 |
| remdesivir | 0 | 0 | 0 | 0 | 57.4 | 60 | 19.2 |
| umifenovir | 0 | 60 | 21.4 | 30.7 | 0 | 0 | 15.8 |
| Antibiotics, % | |||||||
| ceftriaxone | 38.5 | 17.6 | 54.4 | 35.6 | 0,0 | 36.4 | 31.5 |
| levofloxacin | 0.0 | 0.0 | 25.6 | 22.9 | 14.0 | 40.9 | 19.1 |
| cefoperazone/sulbactam | 23.1 | 0.0 | 5.6 | 17.8 | 2.3 | 18.2 | 11.0 |
| amoxicillin/clavulanic acid + amoxicillin/sulbactam | 17.9 | 52.9 | 3.3 | 0.8 | 1.2 | 0.0 | 5.6 |
| cefepime | 10.3 | 5.9 | 0.0 | 0.0 | 17.4 | 0.0 | 5.4 |
| cefepime/sulbactam | 0.0 | 0.0 | 0.0 | 0.0 | 22.1 | 0.0 | 5.1 |
| meropenem | 7.7 | 11.8 | 3.3 | 1.7 | 5.8 | 4.5 | 4.3 |
| ampicillin/sulbactam | 0.0 | 0.0 | 0.0 | 0.0 | 14.0 | 0.0 | 3.2 |
| imipenem | 0.0 | 0.0 | 0.0 | 7.6 | 0.0 | 0.0 | 2.4 |
| moxifloxacin | 0 | 0 | 0 | 1.7 | 7 | 0 | 2.2 |
| ertapenem | 0.0 | 0.0 | 0.0 | 0.8 | 5.8 | 0.0 | 1.6 |
| amikacin | 0.0 | 0.0 | 2.2 | 0.0 | 3.5 | 0.0 | 1.3 |
| linezolid | 0.0 | 5.9 | 0.0 | 2.5 | 1.2 | 0.0 | 1.3 |
| other | 2.6 | 5.9 | 5.6 | 8.5 | 5.8 | 0.0 | 5.9 |
Figure 1Top 10 systemic antibiotics administered to patients with “COVID-19/pneumonia” in COVID-19 medical wards and ICUs of 6 Russian hospitals, % of prescriptions.
Key patterns and quality indicators of systemic AMD prescribing for the treatment of “COVID-19/pneumonia”.
| Patterns | Site #1 | Site #2 | Site #3 | Site #4 | Site #5 | Site #6 | ICU Wards | Medical Wards | Average |
|---|---|---|---|---|---|---|---|---|---|
| Treatment based on biomarker data, % of patients | 52.2 | 80.8 | 40.4 | 56.5 | 17.4 | 75 | 58.6 | 39.2 | 42.7 |
| C-reactive protein * | 34.8 | 65.4 | 35.4 | 38.3 | 2 | 0 | 32.2 | 24.1 | 25.5 |
| white blood cells | 17.4 | 3.8 | 0 | 8.7 | 8.7 | 33.3 | 13.8 | 8.1 | 9.1 |
| procalcitonin | 0 | 3.8 | 5.1 | 9.6 | 6.7 | 41.7 | 12.6 | 6.6 | 7.7 |
| Culture test performed, % of patients | 0 | 92.3 | 5.1 | 2.6 | 24.2 | 0 | 11.5 | 14.7 | 14.1 |
| Quality indicators, % of prescriptions | |||||||||
| Targeted therapy | 10.5 | 32.4 | 44.5 | 7.8 | 53.9 | 0 | 29 | 29.8 | 29.6 |
| antivirals | 19.1 | 40 | 96.4 | 17.3 | 94.7 | 0 | 86.7 | 55.1 | 58.2 |
| antibiotics | 0 | 23.5 | 12.2 | 1.7 | 9.3 | 0 | 13 | 4.2 | 6.7 |
| Compliance with the hospital guidelines | 81.4 | 97.3 | 100 | 82.8 | 66.7 | 96.3 | 79.0 | 84.5 | 83.4 |
| antivirals | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| antibiotics | 59 | 94.1 | 100 | 71.8 | 30.2 | 95.5 | 73.1 | 68.8 | 70.1 |
| Indication for treatment was recorded | 96.5 | 97.3 | 100 | 81.3 | 79.4 | 96.3 | 85.5 | 89.1 | 88.3 |
| antivirals | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| antibiotics | 92.3 | 94.1 | 100 | 69.2 | 57 | 95.5 | 81.5 | 77.9 | 79.0 |
| Stop/review date documented | 66.3 | 100 | 93.2 | 90.1 | 92.2 | 0 | 87.7 | 84.5 | 85.2 |
| antivirals | 97.9 | 100 | 100 | 100 | 95.7 | 0 | 100 | 96.3 | 96.6 |
| antibiotics | 28.2 | 100 | 88.9 | 83.8 | 88.4 | 0 | 84.3 | 72.6 | 76 |
| Prescribed antibiotics according to AWaRe classification, % of prescriptions | |||||||||
| access | 20.5 | 58.8 | 6.7 | 0.9 | 18.6 | 0 | 10.2 | 11.4 | 11.1 |
| watch | 56.4 | 35.3 | 86.7 | 71.8 | 74.4 | 81.8 | 70.4 | 74.5 | 73.3 |
| reserve | 0 | 5.9 | 0 | 9.4 | 4.7 | 0 | 5.6 | 3.8 | 4.3 |
| not recommended | 23.1 | 0 | 6.7 | 17.9 | 2.3 | 18.2 | 13.9 | 10.3 | 11.3 |
*—Median value of C-reactive protein at all study sites was 58.2 mg/L.