Literature DB >> 34077290

The Spectrum of Antibiotic Prescribing During COVID-19 Pandemic: A Systematic Literature Review.

Sara H Al-Hadidi1, Hashim Alhussain1, Hamad Abdel Hadi2, Alreem Johar3, Hadi M Yassine1, Asmaa A Al Thani1, Nahla O Eltai1.   

Abstract

Objectives: Over the last decades, there has been a significant increase in antimicrobial prescribing and consumption associated with the development of patients' adverse events and antimicrobial resistance (AMR) to the point of becoming a global priority. This study aims at evaluating antibiotic prescribing during COVID-19 pandemic from November 2019 to December 2020. Materials and
Methods: A systematic review was conducted primarily through the NCBI database, using PRISMA guidelines to identify relevant literature for the period between November 1, 2019 and December 19, 2020, using the keywords: COVID-19 OR SARS-Cov-2 AND antibiotics restricted to the English language excluding nonclinical articles. Five hundred twenty-seven titles were identified; all articles fulfilling the study criteria were included, 133 through the NCBI, and 8 through Google Scholar with a combined total of 141 studies. The patient's spectrum included all ages from neonates to elderly with all associated comorbidities, including immune suppression.
Results: Of 28,093 patients included in the combined studies, 58.7% received antibiotics (16,490/28,093), ranging from 1.3% to 100% coverage. Antibiotics coverage was less in children (57%) than in adults with comorbidities (75%). Broad-spectrum antibiotics were prescribed presumptively without pathogen identifications, which might contribute to adverse outcomes. Conclusions: During the COVID-19 pandemic, there has been a significant and wide range of antibiotic prescribing in patients affected by the disease, particularly in adults with underlying comorbidities, despite the paucity of evidence of associated bacterial infections. The current practice might increase patients' immediate and long-term risks of adverse events, susceptibility to secondary infections as well as aggravating AMR.

Entities:  

Keywords:  AMR; COVID-19; antibiotics; antimicrobial stewardship; resistance

Mesh:

Substances:

Year:  2021        PMID: 34077290      PMCID: PMC8713256          DOI: 10.1089/mdr.2020.0619

Source DB:  PubMed          Journal:  Microb Drug Resist        ISSN: 1076-6294            Impact factor:   3.431


Introduction

The discovery of antibiotics in the middle of the 20th century was a significant breakthrough for humanity saving millions of lives and preventing significant morbidity and mortality associated with infectious diseases.[1] A decade after the historical discovery, a noticeable antimicrobial resistance (AMR) was observed escalating to an alarming scale over recent years.[2] It has been estimated that about 700,000 annual global mortality is attributed to AMR, which attracted the attention of world leaders and international organizations such as the World Health Organization (WHO) all advocating regional and global initiatives to contain the problem.[3] Antimicrobial Stewardship Programs (ASPs) have been implemented in many health care settings worldwide to curtail inappropriate and excessive antibiotic prescribing, particularly for broad-spectrum antibiotics.[4] At the end of 2019, the world witnessed a worrying herald of a global pandemic caused by a novel coronavirus coined SAR-CoV-2 leading to the clinical syndrome of COVID-19 disease.[5] Although the disease causes a respiratory illness primarily, it was noticed from the beginning it is associated with significant secondary presentations, including multisystem complications in need of critical care, particularly for server disease. Since there was no available effective management, antibiotics were frequently prescribed for various rationales with the potential of contributing to AMR.[6] Although COVID-19 principally is a viral infection not usually responding to antibiotics, it is capable of causing an acute respiratory disease indistinguishable from bacterial infections and creating an environment and complications favoring secondary bacterial infections.[7] For such reasons, health care professionals were confounded to prescribe antibiotics to treat potential bacterial infections or secondary complications. To comprehend the scale of the problem, a study conducted by the WHO demonstrated that 72% of COVID-19 patients received antibiotics. Nevertheless, only 8% had evidence of documented superimposed bacterial infections.[8] To add to the complexity of the situation, unverified research at the start of the pandemic advocated combined management with chloroquine/hydroxychloroquine together with the macrolide antibiotic azithromycin led to hasty inclusion in many COVID-19 management guidelines across the globe before establishing better-evaluated efficacy.[9] Even for patients who warrant treatment during the pandemic, Getahun et al.[8] indicated that antimicrobials were overprescribed for patients admitted to intensive care units (ICUs) in 88 countries where 70% of patients received antibiotics. However, only 54% of patients had suspected or proven bacterial infections. Because of the gravity of the situation, confusion of the optimal management approaches for the novel disease together with the stretching of physical limits and capabilities of health care ASPs; the COVID-19 pandemic created an environment for inappropriate and excessive antibiotic prescribing, which might worsen future AMR through selective pressures. The presented literature review is conducted to examine and highlight the spectrum of antimicrobial prescribing during the COVID-19 pandemic to raise awareness toward potential consequences.

Materials and Methods

A literature search was conducted using the PRISMA guidelines for systematic reviews.[172] The NCBI database was identified as a primary source of related literature because of clinical relevance between November 2019 and December 19, 2020. Adopted search keywords were COVID-19 OR Sars-Cov-2 AND antibiotics restricted to the English language. The search initially resulted in 527 identified titles eventually limited to 133 following applying restrictive criteria. An additional 8 articles were included following searching Google Scholar search engine, bringing the total number to 141 studies. As per the study protocol, only articles covering clinical settings were included, articles limited to basic science, solely microbiological characteristics, experiments, surveys, guidelines, and hypotheses. Those not providing details of antibiotic prescribing were excluded (n = 386) (Fig. 1). The information extracted from the included articles comprises types of antibiotics prescribed for COVID-19 patients and the number of those patients, bacterial coinfection, and relevant patient demographic data (age, gender, and country). In addition, if the COVID-19 patient is suffering from any other complications such as hypertension, cardiac disease, diabetes, pregnancy, cancer, and human immunodeficiency virus (HIV) were reported.
FIG. 1.

Schematic selection process of included studies.

Schematic selection process of included studies.

Results

One hundred forty-one articles were included in this review from 28 different countries. The majority of them are from countries worst affected by the pandemic: China (n = 55), followed by the USA (n = 18), Italy (n = 10), UK (n = 5), Spain (n = 5), Brazil (n = 4), Iran (n = 4), and India (n = 3). Two articles were incorporated from Belgium, Germany, Japan, South Korea, Netherlands, and Saudi Arabia and one from Bhutan, Colombia, France, Ireland, Morocco, Niger, Oman, Philippines, Qatar, Singapore, Switzerland, Taiwan, and Uganda. Fourteen articles were included with no identified country (Table 1).
Table 1.

Showing Affected Countries, the Total Number of Patients, Number and Percentage of Patients Prescribed Antibiotics, Gender, Age, Prescribed Antibiotics, and Comorbidities

CountryTotal number of patientsNumber of patients prescribed antibiotic therapy, n (%)GenderAge, mean ± SD (range)Prescribed antibiotics and the number of patients prescribedComorbidities and the number of patients
South Korea[10]7,3392,820 (38.1)2,970 Male4,369 Female47.1 ± 19.0Unspecified antibiotic: 3,174Penicillin: 646Cephalosporins: 1,649Sulfamethoxazole/trimethoprim: 43Tetracycline: 33HT: 1,373Tuberculosis: 28COPD: 81Pneumonia: 513Asthma: 387DM: 857CKD: 48CLD: 645CVDs: 455Cancer: 162HIV: 4
USA[11]5,8534,130 (71)NANADoxycycline, azithromycin, levofloxacin, ciprofloxacin, ceftriaxone, and cefepimeNot reported
China[12]3,3092,127 (64.28)1,642 Male1,667 Female62 (median)Unspecified antibioticsHT: 988DM: 464CVD: 242Cerebrovascular disease: 130Cancer: 93CKD: 57COPD: 42
China[13]1,123792 (70.5)560 Male563 Female61 (median)Azithromycin: 63Fluoroquinolones: 666Levofloxacin: 77Moxifloxacin: 690Cephalosporins: 220Penicillin: 50Carbapenems: 108Meropenem: 77HT: 361Coronary heart disease: 95Other heart diseases: 46DM: 147Cancer: 40COPD: 40
China[14]1,099637 (58)640 Male459 Female47 (median)Unspecified antibioticsNot reported
China[15]970505 (52.1)561 Male409 Female45.1 ± 17.3TeicoplaninNot reported
Netherlands[16]925669 (72.3)583 Male324 Female70 (median)Cefuroxime, amoxicillin, ciprofloxacinNot reported
China[17]476319 (67)319 Male205 Female53 (median)Unspecified antibioticsNot reported
China[15]468264/330 (80.0)282 Male282 Female53.1 ± 27.6TeicoplaninNot reported
China[18]465218 (46.88)243 Male222 Female45 (5–88)Cephalosporins, quinolones, carbapenem, tigecycline, and linezolidHT: 82DM: 28CLD: 19Cancer: 5 (1.08%)CKD: 5Heart disease: 3Pediatric: 3Pregnancy: 2
China[19]450225 (50)228 Male222 Female46.2 ± 15.1Quinolones: 190Cephalosporins: 22Carbapenems: 8Macrolides: 4Penicillin: 33Linezolid: 6Polymyxin: 1Teicoplanin: 1HT: 75DM: 45CVD: 22CLD: 11CKD: 1Cerebrovascular disease: 11COPD: 10Cancer: 5Rheumatic disease: 2
China[20]350177 (50.6)173 Male177 Female43 (median)Moxifloxacin: 156Levofloxacin: 25Piperacillin/tazobactam: 9Unspecified antibiotics: 11HT: 51DM: 26CVD: 15Chronic pulmonary disease: 7CKD: 9CLD: 14Cancer: 1
China[21]334167 (50)173 female161 Male60 (21–90)Unspecified antibioticsNot reported
USA[22]321222 (69)155 Male166 Female60 ± 17Unspecified antibioticsNot reported
USA[23]242162 (67)123 Male119 Female50–82Unspecified antibioticsCOPD: 30Asthma: 18Heart failure: 35Atrial fibrillation: 24Liver cirrhosis: 8DM: 118CKD: 42Renal disease: 19Coronary artery disease: 45HT: 180
China[24]204141 (69.12)107 Male97 Female52.91 ± 15.98Antibiotic treatmentNot reported
China[25]200141 (70.5)98 Male102 Female55 ± 17.1Moxifloxacin, ceftriaxoneNot reported
China[26]195115 (59.0)100 Male95 Female64 (median)Unspecified antibioticsNot reported
Brazil[27]181148 (81.8)Male 71110 Female55.3 ± 21.1Unspecified antibioticsCancer: 181HT: 77DM: 31Chronic renal failure: 10COPD/asthma: 7
China[28]16987 (51.5)86 Male83 Female45 (median)Unspecified antibioticsHT: 19DM: 13COPD: 3Cancer: 2CVD and cerebrovascular diseases: 10
USA, Italy, Spain[29]144106 (74)94 Male50 Female62 (median)Unspecified antibioticsKidney transplant: 144
Germany[23]140121 (86.4)90 Male50 Female63.5 (17–99)Ampicillin/sulbactam: 56Piperacillin/tazobactam: 26Azithromycin: 38Meropenem: 6Moxifloxacin: 4Cephalosporin: 3HT: 68 (48.6%)DM: 30 (21.4%)Coronary heart disease: 26 (18.6%)Congestive heart failure: 12 (8.6%)COPD: 7 (5.0%)Bronchial asthma: 15 (10.7%)CKD: 16 (11.4%)Cancer: 29 (20.7%)HIV: 5 (3.6%)CLD: 7 (5.0%)
China30138NA75 Male63 Female56 (median)Moxifloxacin: 89Ceftriaxone: 34Azithromycin: 25Not reported
China[31]136NA66 Male70 Female56 (median)Moxifloxacin: 51Cefoperazone-sodium/sulbactam-sodium: 88Imipenem/cilastatin: 4Not reported
China[32]135131 (97)57 Male78 Female53.53 ± 13.22MoxifloxacinNot reported
China[33]13559 (43.7)72 Male63 Female47 (median)Unspecified antibioticsNot reported
China[34]13292 (69.6)74 Male58 Female58.8 ± 12.9Unspecified antibioticsCVD: 52Cancer: 7CKD: 1
China[35]10785 (79.4)57 Male50 Female51 (median)Unspecified antibioticsNot reported
China[36]10199 (98)48 Male53 Female51 (median)Unspecified antibioticsNot reported
China[37]9970 (71)67 Male32 Female55 · 5 ± 13 · 1 (21–82)Cephalosporins, quinolones, carbapenems, tigecycline, and linezolidNot reported
South Korea[38]9898 (100)38 Male60 Female55.4 ± 17.1Unspecified antibioticsNot reported
China[39]9384 (90.3)54 Male39 Female43 ± 17.34Moxifloxacin: 54Levofloxacin: 5Azithromycin: 1Amoxicillin: 1Cefepime: 1Cefperazone-sulbactam: 1Cefixime: 1Other: 23HT: 6DM: 6Heart disease: 3Stroke: 2Hypothyroidism: 2COPD or chronic bronchitis: 2
China[40]9047 (52)48 Male42 Female64 (median)Unspecified antibioticsCVD: 11HT: 38DM: 17COPD: 4CKD: 1Cerebrovascular disease: 6Cancer: 10
China[41]8577 (90.6)62 Male23 Female65.8 ± 14.2Meropenem: 38 Imipenem/cilastatin: 1Moxifloxacin: 40Levofloxacin: 4Linezolid: 18Vancomycin: 2Teicoplanin: 2Tigecycline: 2Piperacillin/tazobactam: 9Ceftriaxone sodium: 3Cefoperazone/sulbactam: 2Ceftazidime/tazobactam: 2Not reported
China[21]8268 (82.9)44 Male38 Female74 (34–95)Unspecified broad-spectrum antibioticsCardiac disease, injury, and surgery: 82
Brazil[42]7960 (76)43 Male36 Female4 (median)Unspecified antibioticsPediatric: 79
China[43]7431 (41.89)37 Male37 Female46.14 ± 14.19Unspecified antibioticsNot reported
Italy[44]7032 (45.7)41 Male29 Female45–74AzithromycinNot reported
China[45]6824 (35.3)25 Male43 Female44.3 ± 16.4Moxifloxacin: 21Cephalosporin: 9Azithromycin:2Amoxicillin: 2Not reported
UK[46]689 (1.3)32 Male36 Female42.5 (0.5–76)Doxycycline, moxifloxacinNot reported
France[47]6634 (51.5)15 Male51 Female87.7 ± 9.0Azithromycin and rovamycinNot reported
China[48]6445 (70.3)20 Male44 Female61 (median)Unspecified antibioticsHT: 32
Oman[49]63NA53 Male10 Female48 ± 16Ceftriaxone:50Azithromycin:45Piperacillin/tazobactam: 49Not reported
China[26]6347 (74.6)38 Male25 Female65 (57–71)Unspecified broad-spectrum antibioticsDiabetic: 63
Saudi Arabia[50]6161 (100)54 Male7 Female51 (median)Azithromycin, ceftriaxone, and piperacillin/tazobactamDM: 24HT: 13Hypothyroidism: 1
Spain[51]605 (8.3)60 FemaleNAUnspecified antibioticsPregnant: 60
NA[52]5829 (50.0)NA>20 yearsLevofloxacin, moxifloxacin, meropenem, and cefiximeNot reported
Europe[53]5735 (63)40 Male17 Female65 (57–70)1 or more unspecified antibiotics and azithromycin as COVID-19 treatmentLiver transplant
Brazil[54]5633 (58.9)39 Male17 Female6.2 (median)Unspecified antibioticsPediatric: 56
China[55]5529 (52.7)31 Male24 Female44 (median)Unspecified antibioticsHT: 8DM: 5Respiratory diseases: 4Thyroid disease: 3CLD: 3CKD: 1CVD: 1
China[32]5252 (100)34 Male18 Female71.40 + 9.43MoxifloxacinCardiac disease, injury and surgery: 52
China[56]4725 (53.19)21 Male26 Female45 (median)Unspecified antibioticsHT: 10DM: 9Coronary heart disease: 6COPD: 10
China[57]4416 (36.4)22 Male22 Female(1–18) yearsUnspecified antibioticsPediatric: 44
China[58]4141 (100)30 Male11 Female49 (median)Unspecified antibioticsNot reported
China[59]3429 (85)14 Male20 Female33 (10.00–94.25) monthsAzithromycin was given to 9 patients with pneumonia infectionPediatric: 34
Italy[60]33NA30 Male3 Female64 (median)Carbapenem: 4Cephalosporin: 7Macrolide: 18Penicillin: 23Unspecified antibiotics: 2Heart disease: 14Lung disease: 4DM: 2Autoimmune disease or immunodeficiency: 1
NA[61]3218 (56.3)NANAInitial antibiotic therapy: cefuroxime 7Amoxicillin-clavulanic acid 1Piperacillin/tazobactamSubsequent antibiotic therapy: 7Cases treated with cefuroxime, 1 amoxicillin-clavulanic acid, 1Ceftazidime, 2 vancomycin 2, flucloxacillin 3Not reported
China[62]316 (19.4)NA7 years and 1 month (6 months–17 years)Unspecified antibioticsPediatric: 31
Iran[63]30NA14 Male16 Female0–18 yearsCeftriaxone: 17Azithromycin: 2Meropenem: 6Clindamycin: 3Vancomycin: 6Pediatric: 30
China[64]2823 (82.1)17 Male11 Female65 (median)Unspecified antibioticsCancer: 28
Italy[65]2520 (80)20 Male5 Female71.64 ± 10.08Ceftriaxone and azithromycinCancer: 25
China[66]2513 (56)14 Male11 Female3 (2–9)For 2 critical cases:Case 1: cefoperazone/sulbactamCase 2: meropenem, linezolidPediatric: 25
China[57]236 (26.1)10 Male13 Female0 day–1 yearUnspecified antibioticsNeonate and infant: 23
China[67]2017 (85.0)10 Male10 Female43.2 ± 14.0Unspecified antibioticsNot reported
China[68]1713 (76.5)12 Male5 Female88 (median)Unspecified antibioticsHT: 9CVD: 8CKD: 6DM: 5Neurodegenerative diseases 5COPD: 3Cancer: 2
China[69]168 (50)6 Male10 Female44.1 (5–70)Unspecified antibioticsNot reported
China[70]1515 (100)Female32 ± 5Unspecified antibioticsPregnant: 15
China[71]1111 (100)5 Male6 Female36.6 (2–69)Ceftriaxone and moxifloxacin initially and changed to cefoperazone sulbactam, linezolid, and polymyxin laterNot reported
China[72]105 (50)4 Male6 Female74 (3–131) monthsUnspecified antibioticsPediatric: 10
Spain[73]1010 (100)3 Male7 Female54 ± 10Cephalosporin: 7Carbapenem: 4Macrolide: 8Linezolid: 2HT: 9DM: 4Kidney transplant: 10
China[74]94 (44.4)5 Male4 Female42 (14–56)MoxifloxacinNot reported
China[75]99 (100)Female29.9 (26–40)Unspecified antibioticsPregnant: 9
NA[76]84 (50)2 Male6 Female5 days–12 monthAmoxicillin, cefotaxime and gentamicinNeonate and infant: 8
UK[76]84 (50)2 Male6 Female5.1 months (5 days–12 months)Unspecified antibioticsNot reported
China[77]66 (100)2 Male6 Female3 (1–7)Unspecified antibioticsNot reported
Italy[78]66 (100)5 Male1 Female66.5 (50–82)Unspecified antibioticsNot reported
Spain[79]55 (100)3 Female2 Male62 (38–86)All patient received azithromycin and ceftriaxoneIn addition, case 1: ceftarolineCase 2 and 5: oral cefiximeCase 3: levofloxacinNot reported
China[80]55 (100)4 Male1 Female≥55 yearsUnspecified antibioticsNot reported
China[82]55 (100)2 Male3 Female50.2 (39–66)Unspecified antibioticsNot reported
Spain[83]54 (80)3 Male2 Transgender37.8 (29–49)Case1: —Case 2: meropenem (for 16 days)Case 3: azithromycin (for 5 days)Case 4: azithromycin (for 5 days), cefixime (for 5 days)Case 5: azithromycin (for 5 days), ceftaroline fosamil (for 7 days), co-trimoxazole (for 21 days, followed by secondary prophylaxis)HIV: 5
China[82]55 (100)2 Male3 Female50.2 (39–66)Unspecified antibioticsHT: 2CVD: 1
China[81]54 (80)1 Male4 Female65.8 (51–79)Levofloxacin, moxifloxacin, ceftriaxone, piperacillin-tazobactam, and meropenemRheumatic diseases: 5
Australia[84]55 (100)5 Males63 (46–74)Unspecified antibioticsHT: 2DM: 2Aortic valve replacement: 1Asthma: 1
USA[85]42 (50)2 Male2 Female54.3 (38–64)Azithromycin, also ceftriaxone, was given to one patientCardiac disease, injury, and surgery: 4
Italy[86]44 (100)2 Male2 Female61 (48–70)Case 1: piperacillin/tazobactam and levofloxacinCase 2: meropenemCase 3: iv meropenemCase 4: piperacillin/tazobactamLung transplant: 4
NA[87]33 (100)3 Male56 (38–74)AzithromycinNot reported
China[88]31 (33.3)3 Male7.6 (6–9)CeftriaxonePediatric: 3
Belgium[89]33 (100)1 Male2 Female51.6 (44–64)Unspecified antibioticsCVDs: 1
Philippines[90]21 (50)1 Male1 Female44 years39 yearsVancomycinNone reported
China[91]22 (100)1 Male1 Female40 years79 yearsUnspecified antibioticsRenal failure: 2
China[92]22 (100)Male47–60Case 1: moxifloxacin, ceftriaxone, and tazobactamCase 2: moxifloxacinHIV: 2
Italy[93]21 (50)Male69–73AzithromycinCancer: 2
NA[94]21 (50)1 Male1 Female59–75Sulfamethoxazole-trimethoprim-dsHeart transplant: 2
China[95]22 (100)2 Male51–58Case 1: moxifloxacin, cephalosporin, linezolid, and meropenemCase 2: moxifloxacinCase 1: allogeneic bone marrow transplantationCase 2: kidney transplantation
USA[94]21 (50)1 Male1 Female59–75Case1: cefepimeVancomycinDoxycyclinesulfamethoxazole-trimethoprimTobramycinLinezolidCase 1 and 2: heart transplantDM, HT, CKD
USA[96]21 (50)2 MaleNACase 2: ceftriaxone, piperacillin-tazobactamPediatric: 2
USA[97]22 (100)1 Male1 Female55–57Azithromycin: 2Case 1: asthma, HT case 2: DM, HT
Iran[98]21 (50)2 Male0 monthsUnspecified antibioticsNeonate and infant: 2
USA[99]22 (100)2 Female26–77Ceftriaxone, azithromycinNot reported
Switzerland[100]22 (100)Male59Levofloxacin: 1Amoxicillin/clavulanate: 1HT: 1
Ireland[101]11 (100)Male25Unspecified antibioticsNot reported
Japan[102]11 (100)Male59Unspecified antibioticsNot reported
Taiwan[103]11 (100)Female55Ceftriaxone replaced by oral amoxicillin/clavulanateNot reported
Bhutan[104]11 (100)Male76Ceftriaxone and doxycycline switched to meropenem and vancomycinNot reported
Colombia[105]11 (100)Male34Unspecified broad-spectrum antibioticsNot reported
Japan[106]11 (100)Female72Cefepime and clindamycin phosphateNot reported
NA[107]11 (100)Male33Piperacillin–tazobactamNot reported
China[108]11 (100)Male23Meropenem and linezolidDM: 1
Italy[109]11 (100)Male56Piperacillin/tazobactamSpinal cord injury patient: 1
China[110]11 (100)Male50MoxifloxacinRenal failure: 1
NA[111]11 (100)Male59Cefepime, piperacillin/tazobactam, linezolid, gentamicin and meropenem and amikacinNot reported
Italy[112]11 (100)Female54Unspecified broad-spectrum antibioticsDiaphragmatic rupture and gastric perforation: 1
NA[113]11 (100)Male64Amoxicillin/clavulanicCardiac disease, injury, and surgery: 1
NA[114]11 (100)Male63Piperacillin–tazobactamCardiac disease, injury, and surgery: 1
NA[115]11 (100)Male37Piperacillin sulbactamCardiac disease, injury, and surgery: 1
NA[116]11 (100)Male75Azithromycin with hydroxychloroquineHIV: 1
NA[117]11 (100)Female56Zosyn and vancomycinLiver failure: 1
China[118]11 (100)Female62Meropenem and teicoplanin, followed by linezolid and tigecyclineCancer: 1
NA[119]11 (100)Male63Ceftizoxime sodium+moxifloxacin to ceftizoxime sodium+teicoplaninCancer: 1
Iran[120]11 (100)Male15 daysVancomycin and amikacinNeonate: 1
Morocco[121]11 (100)Female17 monthsAmoxicilline-acide clavulanique and azithromycinInfant: 1
China[122]11 (100)NANAMeropenem and linezolidPediatric: 1
Uganda[123]11 (100)Female34 yearsUnspecified antibioticsHIV: 1
UK[124]11Female22CeftriaxoneNone reported
Saudi Arabia[125]11 (100)Male45Meropenem and vancomycinNone reported
India[126]11NA1 weekAmpicillin, amoxicillin/clavulanate, meropenem, vancomycinNeonate and infant: 1
India[127]11Male60Unspecified antibioticsDM, HT, and biclonal gammopathy: 1
USA[128]11 (100)Male23Unspecified antibioticsNot reported
UK[129]11 (100)Male77LevofloxacinHT: 1
US[130]11 (100)Male20Unspecified antibioticsNone reported
USA[131]11 (100)Male88Unspecified antibioticsHT: 1
India[132]11 (100)Male60Meropenem, vancomycinDM: 1
USA[133]11 (100)Male58Azithromycin, piperacillin/tazobactamNot reported
China[110]12 (100)Male79MoxifloxacinEnd-stage renal disease: 1
Germany[134]11 (100)Male46Ampicillin/sulbactamHT: 1
USA[135]11 (100)Male24Vancomycin, cefepime, meropenemDM: 1
Netherlands[136]11 (100)Male7AmoxicillinNot reported
Singapore[137]11 (100)Male77Unspecified antibioticsHT, coronary artery disease, and asthma-COPD overlap syndrome: 1
Niger[138]11 (100)Male8 monthsCeftriaxone, gentamycinNeonate and infant
US[139]11 (100)Male49Ceftriaxone, azithromycinNot reported
Qatar[140]11 (100)Female40Azithromycin, piperacillin/tazobactam, meropenemNot reported
Belgium[113]11 (100)Male64Amoxicillin/clavulanateHT and aortic dissection: 1
Italy[141]11 (100)Female78Ceftriaxone, piperacillin/tazobactam, levofloxacinNot reported
USA[142]11 (100)Female13Ceftriaxone, metronidazolePediatric: 1
China[143]11 (100)Female65MoxifloxacinNot reported
Brazil[144]11 (100)Male65Meropenem, vancomycinDM, HT, and cancer: 1
China[145]11 (100)Male64Unspecified antibioticsCancer: 1
USA[146]11 (100)Male78CefepimeNot reported
USA[147]11 (100)Male51Ceftriaxone, azithromycinDiabetes: 1

CKD, chronic kidney disease; CLD, chronic liver disease; COPD, chronic obstructive pulmonary disease; CVD, cardiovascular disease; DM, diabetes mellitus; HIV, human immunodeficiency virus; HT, hypertension.

Showing Affected Countries, the Total Number of Patients, Number and Percentage of Patients Prescribed Antibiotics, Gender, Age, Prescribed Antibiotics, and Comorbidities CKD, chronic kidney disease; CLD, chronic liver disease; COPD, chronic obstructive pulmonary disease; CVD, cardiovascular disease; DM, diabetes mellitus; HIV, human immunodeficiency virus; HT, hypertension. The study population's demographic and clinical characteristics included all ages from neonates, children, and adults, including pregnant women and the elderly. Associated underlying conditions included hypertension, diabetes mellitus, heart, respiratory, renal, liver, thyroid, cerebrovascular, rheumatic diseases, and HIV and organ transplantation (heart, lung, kidney, liver, and bone marrow). Of 28,093 patients included in the combined studies, 58.7% received antibiotics (16,490/28,093). The percentage of patients prescribed antibiotics in each article differs, ranging from 1.3% to 100% coverage, with only 9.9% of the articles reporting less than 50% antibiotic covering (14/141). Most included articles did not present clear data on an antibiotic prescription for patients with other complications versus those without comorbidities. Comparing the articles that include the population who suffered from other diseases to those with no other complications, we found that antibiotic coverage did not differ significantly between patients with and without comorbidities (75.2%, 415/552), and 71% (8,449/11,886), respectively (Fig. 2).
FIG. 2.

Comparison of percentage antibiotic prescription in studied population compared to patients with reported comorbidities, children, and pregnant women.

Comparison of percentage antibiotic prescription in studied population compared to patients with reported comorbidities, children, and pregnant women. Antibiotics coverage was less in children, 57% (187/329) compared to adults, and it was least in pregnant women (34.5%, 29/84). Despite the high percentage of antibiotic prescribing, most articles did not report bacterial coinfection (75.36%), indicating that probably a significant amount of antibiotics were empirically and unnecessarily prescribed. The spectrum of antimicrobial prescreening is broad since more than 40 different antimicrobials were used to manage patients with COVID-19 disease (Table 2).
Table 2.

Showing the Number of Articles Reporting Each Antibiotic

AntibioticNo. of articles
Unspecified antibiotics68
Cephalosporins38
Azithromycin27
Moxifloxacin23
Meropenem20
Piperacillin/tazobactam18
Levofloxacin13
Linezolid12
Vancomycin9
Amoxicillin/clavulanate8
Teicoplanin6
Carbapenem6
Amoxicillin6
Cefepime6
Tigecycline4
Cefoperazone/sulbactam4
Cefixime4
Penicillin4
Doxycycline4
Fluoroquinolones3
Imipenem/cilastatin2
Clindamycin2
Amikacin2
Gentamicin2
Trimoxazole2
Sulfamethoxazole/trimethoprim2
Ampicillin/sulbactam2
Flucloxacillin1
Ceftazidime/tazobactam1
Cefotaxime1
Ceftaroline fosamil1
Ceftizoxime sodium1
Meropenem/vancomycin1
Piperacillin/sulbactam1
Tazobactam1
Spiramycin1
Tobramycin1
Clarithromycin1
Ampicillin1
Tetracycline1
Polymyxin1
Metronidazole1
Showing the Number of Articles Reporting Each Antibiotic Inferring from the number of articles reporting the use of specific antibiotics, cephalosporins followed by azithromycin and moxifloxacin were the predominant oral antibiotics while piperacillin/tazobactam was the prevalent parenteral antibiotic. However, when subdividing cephalosporins into distinct classes based on their generation (first vs. second vs. third vs. fourth), azithromycin becomes the predominant antibiotic reported, which reflects its prominent role during the pandemic. Nevertheless, most studies highlighted that the majority of antibiotics were prescribed empirically as prophylaxis to prevent secondary bacterial infection,[70] to treat secondary bacterial infection such as pneumonia,[59] or as potential COVID-19 treatment agents.[53] Other described drugs reported include meropenem, levofloxacin, linezolid, vancomycin, amoxicillin/clavulanate, Teicoplanin, and carbapenem.

Discussion

The excessive and inappropriate prescribing of antibiotics is a significant challenge for health care across the globe. The escalating problem has been directly associated with detrimental patients' safety through the development of direct adverse events, indirect acquisition of secondary health care-associated infections, propagation of AMR, worsening infection control and prevention measures, as well as substantial cost implications.[148,149] Of all infectious diseases, respiratory infections are the leading cause of inappropriate antibiotic prescribing and overuse. The majority of upper respiratory tract infections are caused by viruses, and only less than 10% are caused by bacteria[150]; nevertheless, the WHO reported that in 2016, 71% of patients with UTRIs had been prescribed antibiotics.[151] The COVID-19 pandemic caught all health care settings across the globe by surprise; the novel SARS-CoV-2 virus caused an unprecedented universal health scare since there was little preceding knowledge about the disease and its implications, particularly potential secondary infections. Furthermore, the disease presents primarily as a respiratory illness mimicking bacterial infections hence confounding clinical assessment; conversely, critical patients need invasive procedures often associated with secondary health care-associated infections. To add the disease complexity, unverified early clinical reports and trials advocated using antibiotics to hinder disease progression and hasten viral clearance, despite the discouragement of such an approach by international guidelines.[8] Consequent to all these factors, antibiotic prescribing was noticeably frequent in patients with COVID-19 disease. Our search encompassed about 28,000 patients from 28 different countries, to evaluate the problem systematically, the majority of which were severely affected by the pandemic, such as China, Iran, Italy, Spain, UK, and the USA, demonstrated widespread practice of prescribing antibiotics particularly in adults underlying clinical with conditions. The overall percentage of cases prescribed antimicrobial therapy is evident in 58.7% of cases being more common with premorbid or immune-compromised conditions (Fig. 1). Several authors reported treatment strategies for COVID-19 patients incorporating empirical antibiotic treatment.[14,30,37,58,152] Such observations are in line with early pandemic epidemiological reports since it was apparent that more severe and critical disease is predominant in the elderly and those with underlying premorbid conditions such as diabetes, heart failure, and the immune-compromised. Conversely, severity markers included acute kidney and liver injuries, explaining antibiotic prescribing prevalence in such populations. It is worth noticing; prescribed antibiotics are not necessarily to cover documented secondary bacterial infections since, in many studies, the presence of bacterial coinfection or secondary infection is much lower than the number of patients prescribed antimicrobial therapy. In their review, Lai et al.[153] reviewed 13 papers for the presence of bacterial coinfection or secondary infection, 5 of which reported 0% bacterial coinfection or secondary infection. In contrast, three reported a low percentage of 1%, 3.4%, and 4.8%, respectively. Similarly, a large-scale study from New York described 5,700 patients with only 3 secondary bacterial infections.[154] On the contrary, this in contrast with Italy's study, where 17.2% of patients had bacterial pneumonia and 37% suffered from secondary bacteremia.[155] Lansbury et al. covered 30 studies and 3,834 patients, demonstrating only 7% of the hospitalized patients infected with COVID-19 had a bacterial coinfection.[156] Understandably, the presence of bacterial coinfection was highest in ICU patients (14%) compared to patients in mixed wards (4%). A third review reported 8% of bacterial or fungal coinfection.[7] The reviewed evidence supports the discrepancy between inappropriate and excessive antibiotic prescribing in patients with COVID-19 disease and the presence of bacterial coinfections. Nevertheless, Chien-Yi Chang and Kok-Gan Chan argue that the low rate of coinfection could result from prescribing antibiotics on a large scale to avoid overwhelming health systems during the early pandemic.[157] Furthermore, some have argued that the lack of clear antimicrobial stewardship guidance for the frontline clinician at the early stages of the pandemic probably resulted in an inclination toward antimicrobial prescribing, especially in the early stages of the pandemic. In addition, Lansbury et al.'s[156] analysis shows that more than 90% of the patients in 10 out of 17 studies, in which patients were prescribed antibiotics, received the antimicrobial therapy empirically. It is also worth mentioning that in patients with moderate and severe symptoms, those who received antibiotics or corticosteroids had more extended hospital stays than those who did not.[17] It is worth noting that the high percentage of antibiotic prescribing in patients with no comorbidities (71%) could be confounded by not reporting them in some of the articles, which does not equate to their absence. It is quite possible that an undetermined percentage of patients in such studies suffer from comorbidities. The review also demonstrated lower antibiotic prescribing patterns in the pediatrics population; from 329 neonates, infants, and children included in the review, only 187 (57%) were prescribed antimicrobial therapy. This is a lower rate but might also be appropriate since coinfection is expected in the pediatric population since two studies reported 40% and 51.3% coinfection rates, respectively.[158,159] This indicates that the pediatric population might have been better managed during the pandemic from the ASP point of view. Pregnant women were the least to be prescribed antimicrobial therapy, with only 34.5%, which might be due to fears of prescribing antimicrobials during pregnancy rather than its liberal use when compared to a similar cohort, however, we are not sure of the reason for this lower rate in antimicrobial prescription in pregnant women. The macrolide antibiotic azithromycin was the predominant antimicrobial agents reported in the management of COVID-19 disease (Table 2). Most possible, it was used for its claimed anti-inflammatory effect.[160] Before the start of the pandemic, it was used mostly to treat community-acquired pneumonia as well as exacerbations of chronic obstructive pulmonary disease.[161] Azithromycin's role has been recognized by previous reports of efficacy against other RNA viruses such as Zika and Ebola virus disease[162-164] and has been speared when suggested as an adjunct to hydroxychloroquine leading to rapid viral clearance in COVID-19 patients through unclear mechanisms.[9] This probably reflects the highlighted issue with the drug in the foremost pandemic history.[160] Although some limited reports support improved outcomes with adjunctive macrolides in the treatment of COVID-19 disease stemming from previous observations of moderate-to-severe acute respiratory distress syndrome, this has not been materialized in COVID-19 clinical trials.[165] Furthermore, both hydroxychloroquine/chloroquine and azithromycin have been associated with cardiotoxicity by prolonging the QT intervals (the time it takes for the ventricles of the heart to contract and relax), which might precipitate arrhythmias in susceptible patients, particularly those with cardiac diseases, the impact of which is yet to be thoroughly evaluated.[166] The widely used antibiotic azithromycin was gradually recognized as a rare cause of prolonged QT, severe arrhythmia, and increased risk of sudden death.[167-170] Beović et al.[171] reported that broad-spectrum antibiotic use in patients with COVID-19 is widespread, according to his survey study administered across 82 hospitals in 23 countries. Importantly, different broad-spectrum antibiotics have been frequently prescribed, including piperacillin/tazobactam, meropenem, vancomycin, and teicoplanin, highlighting potential further development of current or future AMR. More than half of the respondents reported combined use of β-lactams and macrolides or fluoroquinolones, and the most commonly prescribed antibiotic in the COVID-19 ICU was piperacillin/tazobactam.[171] Worryingly, most broad-spectrum antibiotics have been prescribed empirically as prophylaxis to prevent secondary bacterial infection,[70] or to treat bacterial secondary infection and pneumonia,[59] or as part of COVID-19 treatment[53] Although the systematic search captured a significant number of studies in a short time frame, we acknowledge there are some accompanying limitations. Restricting inclusion to the English language probably omitted other thematic studies. The pandemic's dynamic nature and short time reporting scope probably caused reporting bias, which might be corrected over time. Nevertheless, our report outcomes are in line with other conducted cross-sectional studies such as the WHO studied report.[8] In summary, this systematic review demonstrated the widespread practice of antibiotic prescribing for COVID-19 patients during the pandemic with little supporting evidence of secondary bacterial infections. While the practice is more frequent in adult patients with comorbidities than in the younger population, this might reflect more advanced and severe diseases in this population. We encourage the appropriate and judicious use of antimicrobials, particularly broad-spectrum antibiotics, to avoid short- and long-term consequences. We anticipate if no appropriate actions have been taken throughout the pandemic through various elements of ASPs or tailored COVID-19 management guidelines, such practice might become an established culture with all its detrimental consequences.
  168 in total

1.  Distinct Clinical Characteristics and Risk Factors for Mortality in Female Inpatients With Coronavirus Disease 2019 (COVID-19): A Sex-stratified, Large-scale Cohort Study in Wuhan, China.

Authors:  Jing Chen; Hualin Bai; Jia Liu; Ge Chen; Qiuyue Liao; Jie Yang; Peng Wu; Juncheng Wei; Ding Ma; Gang Chen; Jihui Ai; Kezhen Li
Journal:  Clin Infect Dis       Date:  2020-12-15       Impact factor: 9.079

2.  Zika virus cell tropism in the developing human brain and inhibition by azithromycin.

Authors:  Hanna Retallack; Elizabeth Di Lullo; Carolina Arias; Kristeene A Knopp; Matthew T Laurie; Carmen Sandoval-Espinosa; Walter R Mancia Leon; Robert Krencik; Erik M Ullian; Julien Spatazza; Alex A Pollen; Caleigh Mandel-Brehm; Tomasz J Nowakowski; Arnold R Kriegstein; Joseph L DeRisi
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-29       Impact factor: 11.205

3.  Clinical Characteristics of Metastatic Prostate Cancer Patients Infected with COVID-19 in South Italy.

Authors:  Giuseppe Di Lorenzo; Luciana Buonerba; Concetta Ingenito; Felice Crocetto; Carlo Buonerba; Annamaria Libroia; Antonella Sciarra; Gianluca Ragone; Roberto Sanseverino; Simona Iaccarino; Giorgio Napodano; Ciro Imbimbo; Emilio Leo; Zisis Kozlakidis; Sabino De Placido
Journal:  Oncology       Date:  2020-06-22       Impact factor: 2.935

4.  2019 Novel coronavirus disease (COVID-19) in hemodialysis patients: A report of two cases.

Authors:  Chunjin Ke; Yufeng Wang; Xing Zeng; Chunguang Yang; Zhiquan Hu
Journal:  Clin Biochem       Date:  2020-04-30       Impact factor: 3.281

5.  Three Cases of COVID-19 Disease With Colonic Manifestations.

Authors:  Yasar Sattar; Michael Connerney; Hiba Rauf; Mannat Saini; Waqas Ullah; Sahil Mamtani; Umer Syed; Stephen Luddington; Aaron Walfish
Journal:  Am J Gastroenterol       Date:  2020-06       Impact factor: 10.864

6.  COVID-19 in Children With Kidney Disease: A Report of 2 Cases.

Authors:  Abby Basalely; Kaye Brathwaite; Minh Dien Duong; Diane Liu; Alexandra Mazo; Yuping Xie; Marcela Del Rio; Beatrice Goilav; Nicole Hayde; Frederick J Kaskel; Anna Zolotnitskaya; Kimberly J Reidy
Journal:  Kidney Med       Date:  2020-11-21

7.  COVID-19 presenting as severe, persistent abdominal pain and causing late respiratory compromise in a 33-year-old man.

Authors:  Sarah Catherine Walpole; Rebecca McHugh; Julie Samuel; Matthias Ludwig Schmid
Journal:  BMJ Case Rep       Date:  2020-06-16

8.  Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China.

Authors:  L Zhang; F Zhu; L Xie; C Wang; J Wang; R Chen; P Jia; H Q Guan; L Peng; Y Chen; P Peng; P Zhang; Q Chu; Q Shen; Y Wang; S Y Xu; J P Zhao; M Zhou
Journal:  Ann Oncol       Date:  2020-03-26       Impact factor: 32.976

9.  COVID-19 in a patient with pre-existing acute lymphoblastic leukaemia.

Authors:  Yinlian Wu; Heng Lin; Qiang Xie; Qun Chen; Yanfang Huang; Yueyong Zhu; Lizhou Chen
Journal:  Br J Haematol       Date:  2020-06-02       Impact factor: 6.998

10.  Clinical analysis of 132 cases COVID-19 from Wuhan.

Authors:  Hai-Yan Li; Jin-Wei Wang; Li-Wei Xu; Xu-Ling Zhao; Jia-Xi Feng; You-Zu Xu
Journal:  Medicine (Baltimore)       Date:  2020-10-30       Impact factor: 1.817

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1.  Is the Pendulum of Antimicrobial Drug Resistance Swinging Back after COVID-19?

Authors:  Francesca Serapide; Angela Quirino; Vincenzo Scaglione; Helen Linda Morrone; Federico Longhini; Andrea Bruni; Eugenio Garofalo; Giovanni Matera; Nadia Marascio; Giuseppe Guido Maria Scarlata; Claudia Cicino; Alessandro Russo; Enrico Maria Trecarichi; Carlo Torti
Journal:  Microorganisms       Date:  2022-05-02

Review 2.  Altered gut microbiota patterns in COVID-19: Markers for inflammation and disease severity.

Authors:  Chiranjib Chakraborty; Ashish Ranjan Sharma; Manojit Bhattacharya; Kuldeep Dhama; Sang-Soo Lee
Journal:  World J Gastroenterol       Date:  2022-07-07       Impact factor: 5.374

3.  Interrupted Time Series Analysis of Pediatric Infectious Diseases and the Consumption of Antibiotics in an Atlantic European Region during the SARS-CoV-2 Pandemic.

Authors:  Ana Clavería; María Victoria Delgado-Martín; Ana Goicoechea-Castaño; José Manuel Iglesias-Moreno; Clara García-Cendón; María Victoria Martín-Miguel; Rita Villarino-Moure; Carolina Barreiro-Arceiz; Isabel Rey-Gómez-Serranillos; Javier Roca
Journal:  Antibiotics (Basel)       Date:  2022-02-18

4.  A Direct Rapid Phenotypic Antimicrobial Susceptibility Test Enables Early Selection of Optimal Antibiotics to Treat Bacteremia in COVID-19 Patients.

Authors:  Taek Soo Kim; Wan Beom Park; Do Hyeon Park; Euijin Chang; Chang Kyung Kang; Pyoeng Gyun Choe; Nam Joong Kim; Myoung-Don Oh
Journal:  Infect Chemother       Date:  2021-12

5.  WHO Critical Priority Escherichia coli as One Health Challenge for a Post-Pandemic Scenario: Genomic Surveillance and Analysis of Current Trends in Brazil.

Authors:  Bruna Fuga; Fábio P Sellera; Louise Cerdeira; Fernanda Esposito; Brenda Cardoso; Herrison Fontana; Quézia Moura; Adriana Cardenas-Arias; Elder Sano; Rosineide M Ribas; Albalúcia C Carvalho; Maria Cristina B Tognim; Marcia Maria C de Morais; Ana Judith P G Quaresma; Ângela Patrícia Santana; Joice N Reis; Marcelo Pilonetto; Eliana Carolina Vespero; Raquel R Bonelli; Aloysio M F Cerqueira; Thaís C M Sincero; Nilton Lincopan
Journal:  Microbiol Spectr       Date:  2022-03-02

6.  Prospective Validation of a Rapid Host Gene Expression Test to Discriminate Bacterial From Viral Respiratory Infection.

Authors:  Emily R Ko; Ricardo Henao; Katherine Frankey; Elizabeth A Petzold; Pamela D Isner; Anja K Jaehne; Nakia Allen; Jayna Gardner-Gray; Gina Hurst; Jacqueline Pflaum-Carlson; Namita Jayaprakash; Emanuel P Rivers; Henry Wang; Irma Ugalde; Siraj Amanullah; Laura Mercurio; Thomas H Chun; Larissa May; Robert W Hickey; Jacob E Lazarus; Shauna H Gunaratne; Daniel J Pallin; Guruprasad Jambaulikar; David S Huckins; Krow Ampofo; Ravi Jhaveri; Yunyun Jiang; Lauren Komarow; Scott R Evans; Geoffrey S Ginsburg; L Gayani Tillekeratne; Micah T McClain; Thomas W Burke; Christopher W Woods; Ephraim L Tsalik
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7.  Clinical presentation of pediatric patients with symptomatic SARS-CoV-2 infection during the first months of the COVID-19 pandemic in a single center in Mexico City.

Authors:  Ranferi Aragón-Nogales; Jessie Zurita-Cruz; Guillermo Vázquez-Rosales; Rafael Arias-Flores; Claudia Gómez-González; Victoria Montaño-Luna; Mariana Sámano-Aviña; Daniel Pacheco-Rosas; Eric Flores-Ruiz; Miguel Villasís-Keever; Guadalupe Miranda-Novales
Journal:  Front Pediatr       Date:  2022-07-28       Impact factor: 3.569

8.  Clinical Impact of Empirical Antibiotic Therapy in Patients With Coronavirus Disease 2019 Requiring Oxygen Therapy.

Authors:  Do Hyeon Park; Chan Mi Lee; Euijin Chang; Chang Kyung Kang; Wan Beom Park; Nam Joong Kim; Pyoeng Gyun Choe; Myoung-Don Oh
Journal:  J Korean Med Sci       Date:  2022-07-25       Impact factor: 5.354

9.  Antibiotic (Mis)Use in COVID-19 Patients before and after Admission to a Tertiary Hospital in Serbia.

Authors:  Aleksa Despotović; Aleksandra Barać; Teodora Cucanić; Ksenija Cucanić; Goran Stevanović
Journal:  Antibiotics (Basel)       Date:  2022-06-24
  9 in total

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