| Literature DB >> 26425041 |
Sunghoon Park1, Kil Chan Oh2, Ki-Seong Kim3, Kyu-Tae Song4, Kwang Ha Yoo5, Yun Su Shim6, Young Ju Lee7, Myung Goo Lee8, Jang Uk Yun9, Hyun Su Kim10, Yee Hyung Kim11, Won Jun Lee12, Do Il Kim13, Hyung Gun Cha14, Jae-Myung Lee15, Jung San Seo16, Ki-Suck Jung1.
Abstract
The role of atypical bacteria and the effect of antibiotic treatments in acute bronchitis are still not clear. This study was conducted at 22 hospitals (17 primary care clinics and 5 university hospitals) in Korea. Outpatients (aged ≥ 18 yr) who had an acute illness with a new cough and sputum (≤ 30 days) were enrolled in 2013. Multiplex real-time polymerase chain reaction (RT-PCR) was used to detect five atypical bacteria. A total of 435 patients were diagnosed as having acute bronchitis (vs. probable pneumonia, n = 75), and 1.8% (n = 8) were positive for atypical pathogens (Bordetella pertussis, n = 3; B. parapertussis, n = 0; Mycoplasma pneumoniae, n = 1; Chlamydophila pneumoniae, n = 3; Legionella pneumophila, n = 1). Among clinical symptoms and signs, only post-tussive vomiting was more frequent in patients with atypical pathogens than those without (P = 0.024). In all, 72.2% of the enrolled patients received antibiotic treatment at their first visits, and β-lactams (29.4%) and quinolones (20.5%) were the most commonly prescribed agents. In conclusion, our study demonstrates that the incidence of atypical pathogens is low in patients with acute bronchitis, and the rate of antibiotic prescriptions is high.Entities:
Keywords: Acute Bronchitis; Antibiotics; Atypical Pathogens; Korea
Mesh:
Substances:
Year: 2015 PMID: 26425041 PMCID: PMC4575933 DOI: 10.3346/jkms.2015.30.10.1446
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 2.153
Melting temperatures for each target
| Fluorescence | Target | Tm* |
|---|---|---|
| FAM | 65℃ | |
| 74℃ | ||
| HEX | 64℃ | |
| 73.5℃ | ||
| Cal Red 610 | 65℃ | |
| Quasar 670 | Internal control | 64.5℃ |
*Melting temperature.
Fig. 1Flow diagram of enrolled patients.
Baseline characteristics of the participants (n = 435)
| Characteristics | Values |
|---|---|
| Age (yr)* | 48.6 ± 16.5 |
| Females/males | 244/191 |
| Smoker, never/ex-/current | 305/59/71 |
| Diabetes | 40 (9.2%) |
| Hypertension | 80 (18.4%) |
| Bronchial asthma | 41 (9.4%) |
| COPD | 20 (4.6%) |
| Bronchiectasis | 10 (2.3%) |
| Interstitial lung disease | 1 (0.2%) |
| Heart disease | 13 (3.0%) |
| Liver disease | 14 (3.2%) |
| Chronic kidney disease | 15 (3.4%) |
| Cough duration† | 7 days (3-7 days) |
| Sputum duration† | 5 days (3-7 days) |
*Mean±SD; †median (Interquartile range). COPD, chronic obstructive pulmonary disease.
Fig. 2Frequency of clinical symptoms among patients with acute bronchitis (n = 435).
Microbiological results in patients with acute bronchitis (n = 435)
| Organisms* | PCR positivity (%) |
|---|---|
| 3 (0.7) | |
| 0 (0.0) | |
| 1 (0.2) | |
| 3 (0.7) | |
| 1 (0.2) |
*Among patients with probable pneumonia, one was PCR positive for C. pneumonia. PCR, polymerase chain reaction.
Fig. 3Freuqency of antibiotic prescriptions by participating physicians.
Clinical characteristics in patients with acute bronchitis by antibiotic use (n = 435)
| Symptoms/signs | Use of antibiotics | |||
|---|---|---|---|---|
| No (n = 121) | Yes (n = 314) | |||
| Rhinorrhea | 37 (30.6%) | 143 (45.5%) | 0.005 | 0.001 |
| Chest pain | 8 (6.6%) | 43 (13.7%) | 0.040 | 0.095 |
| Headache | 19 (15.7%) | 82 (26.1%) | 0.021 | 0.847 |
| Myalgia | 11 (9.1%) | 81 (25.8%) | < 0.001 | 0.014 |
| Cough duration (day)* | 7.0 (3.0-10.0) | 5.0 (3.0-7.0) | 0.043 | 0.130 |
| Inspiratory whooping | 8 (6.6%) | 43 (13.7%) | 0.040 | 0.004 |
| Sputum duration (day)* | 7.0 (3.0-10.0) | 5.0 (3.0-7.0) | 0.008 | 0.104 |
| Sputum color† | 78/42/0/1 | 109/195/4/6 | < 0.001 | < 0.001 |
| Rhonchi | 10 (8.3%) | 94 (29.9%) | < 0.001 | < 0.001 |
*Median (Interquartile range); †white/yellow/brown/green; ‡Univariate analysis; §multivariate analysis.
Frequencies of atypical bacteria in acute bronchitis from studies since 1990.
| Studies | Reference | Year | N | Methods | ||||
|---|---|---|---|---|---|---|---|---|
| Boldy et al. | ( | 1990 | 42 | Serology | 7.1 | - | - | - |
| Macfarlane et al.* | ( | 1993 | 206 | Serology | 0.5 | - | 0.0 | |
| Thom et al.* | ( | 1994 | 743 | PCR + Serology | 1.9 | 2.8 | - | - |
| Macfarlane et al. | ( | 1997 | 156 | Serology | 1.9 | 14.0 | 0.0 | |
| Jonsson et al. | ( | 1997 | 113 | Serology | 0.9 | 0.9 | - | - |
| Meijer et al. | ( | 2000 | 557 | PCR + Serology | 1.3 | 1.1 | - | - |
| Macfarlane et al.* | ( | 2001 | 316 | PCR + Serology | 7.3 | 17.4 | - | - |
| Lieberman et al.* | ( | 2002 | 175 | Serology | 10.3 | 1.1 | 10.9 | |
| Wadowsky et al. | ( | 2002 | 473 | PCR + culture | 0.8 | 0.0 | - | - |
| Lieberman et al.† | ( | 2003 | 132 | Serology | 11.2 | 2.3 | 6.8 | - |
| Graffelman,et al.* | ( | 2004 | 145 | PCR + Serology | 9.0 | 1.4 | - | - |
| Gaillat et al. | ( | 2005 | 2,336 | PCR | 4.1 | 2.3 | - | - |
| Creer et al. | ( | 2006 | 80 | PCR | 1.3 | 1.3 | 0.0 | - |
| Holm et al. | ( | 2007 | 316 | PCR | 2.2 | 0.6 | 0.0 | - |
| The present study | 2014 | 435 | PCR | 0.2 | 0.7 | 0.2 | - |
*Patients with pneumonia were included; †Elderly patients hospitalized for non-pneumonic lower respiratory tract infection.