| Literature DB >> 35880508 |
Do Hyeon Park1, Chan Mi Lee1, Euijin Chang1, Chang Kyung Kang1, Wan Beom Park1, Nam Joong Kim1, Pyoeng Gyun Choe2, Myoung-Don Oh1.
Abstract
Despite the low prevalence of secondary bacterial infection in coronavirus disease 2019 (COVID-19) patients, most of them were administered antibiotic therapy empirically. However, the prognostic impact of empirical antibiotic therapy has not been evaluated. We conducted retrospective propensity score-matched case-control study of 233 COVID-19 patients with moderate to severe illnesses who required oxygen therapy and evaluated whether empirical antibiotic therapy could improve clinical outcomes. Empirical antibiotic therapy did not improve clinical outcomes including length of stay, days with oxygen requirement, the proportion of patients with increased oxygen demand, the proportion of patients who required mechanical ventilation, and overall mortality. This finding implies that routine administration of antibiotics for the treatment of COVID-19 is not essential and should be restricted.Entities:
Keywords: Antibiotics; Antimicrobial Stewardship; Coronavirus Disease 2019
Mesh:
Substances:
Year: 2022 PMID: 35880508 PMCID: PMC9313981 DOI: 10.3346/jkms.2022.37.e238
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 5.354
Baseline characteristics of the study population before and after propensity score matching
| Characteristics | Before matching | After matching | |||||||
|---|---|---|---|---|---|---|---|---|---|
| No antibiotics (N = 116) | Antibiotics (N = 117) | SMD | No antibiotics (N = 84) | Antibiotics (N = 84) | SMD | ||||
| Age, yr | 66 (58–76) | 69 (58–75) | 0.843 | 0.0424 | 66 (58–75) | 68 (59–74) | 0.768 | 0.0655 | |
| Male sex | 71 (61.2) | 82 (70.1) | 0.197 | 0.1939 | 55 (65.5) | 56 (66.7) | > 0.999 | 0.0260 | |
| CCI | 3 (2–4) | 3 (2–4) | 0.929 | 0.0154 | 3 (2–4) | 3 (2–4) | 0.978 | 0.0326 | |
| Immunosuppression status | 2 (1.7) | 3 (2.6) | > 0.999 | 0.0531 | 2 (2.4) | 2 (2.4) | > 0.999 | 0.0000 | |
| Initial laboratory findings | |||||||||
| WBC count, cells/μL | 5,405 (4,260–7,495) | 6,960 (4,890–10,410) | < 0.001 | 0.4767 | 6,030 (4,750–7,800) | 5,600 (4,295–7,775) | 0.486 | 0.0037 | |
| CRP, mg/dL | 5.2 (2.3–9.3) | 7.5 (4.6–13.1) | < 0.001 | 0.4898 | 6.5 (2.7–10.6) | 7.1 (3.5–10.7) | 0.559 | 0.0653 | |
| Treatment | |||||||||
| Remdesivir | 110 (94.8) | 101 (86.3) | 0.046 | 0.2475 | 78 (92.9) | 78 (92.9) | > 0.999 | 0.0000 | |
| Dexamethasone | 92 (79.3) | 91 (77.8) | 0.900 | 0.0369 | 65 (77.4) | 66 (78.6) | > 0.999 | 0.0286 | |
Values are presented as number (%) or median (interquartile range).
Propensity score was generated using logistic regression that included the variables of age, sex, CCI, immunosuppression status, administration of remdesivir or dexamethasone, WBC counts, and CRP concentrations. One-to-one caliper propensity matching was then performed using a caliper width of 0.2.
SMD = standardized mean difference, CCI = Charlson Comorbidity Index, WBC = white blood cell, CRP = C-reactive protein.
Comparison of outcomes between antibiotics use and non-use groups before and after propensity score matching
| Outcomes | Before matching | After matching | ||||||
|---|---|---|---|---|---|---|---|---|
| No antibiotics (N = 116) | Antibiotics (N = 117) | RoM/OR (95% CI) | No antibiotics (N = 84) | Antibiotics (N = 84) | RoM/OR (95% CI) | |||
| Total inpatient daysa | 14.3 ± 10.1 | 15.2 ± 10.0 | 1.09 (0.93–1.28) | 0.287 | 13.8 ± 9.6 | 15.3 ± 10.4 | 1.44 (1.17–1.71) | 0.289 |
| Total days with oxygen requirementa | 9.6 ± 10.4 | 11.5 ± 9.6 | 1.35 (1.07–1.69) | 0.010 | 9.3 ± 9.6 | 11.7 ± 9.9 | 2.17 (1.66–2.67) | 0.009 |
| Worsened oxygen demand | 28 (24.1) | 39 (33.3) | 1.57 (0.85–2.91) | 0.160 | 19 (22.6) | 24 (28.6) | 1.50 (0.67–3.34) | 0.424 |
| Required mechanical ventilation | 18 (15.5) | 14 (12.0) | 0.74 (0.32–1.67) | 0.550 | 12 (14.3) | 8 (9.5) | 1.50 (0.61–3.67) | 0.503 |
| Death | 6 (5.2) | 7 (6.0) | 1.17 (0.32–4.34) | > 0.999 | 3 (3.6) | 4 (4.8) | 1.33 (0.30–5.96) | > 0.999 |
Data are presented as the total number of patients with the percent of the total cohort (%), or the mean ± standard deviation. Ratio of mean was determined after Loge transformation.
RoM = ratio of mean, OR = odds ratio; CI = confidence interval.
aAnalysis of count data were performed following Loge transformation.