| Literature DB >> 25246741 |
Sunghoon Park1, Sun Hwa Lee2, Ki-Hyun Seo3, Kyeong-Cheol Shin4, Yong Bum Park5, Myung Goo Lee6, Kwang Ha Yoo7, Hui Jung Kim8, Jae Seuk Park9, Jae Hwa Cho10, Yongchun Ko11, Soo-Keol Lee12, Ki Tae Cheon13, Do Il Kim14, Jun Wook Ha15, Jae-Myung Lee16, Ji-Won Suhr17, Eui Hun Jeong18, Ki-Suck Jung1.
Abstract
Epidemiological data of Bordetella pertussis infection among adolescents and adults are limited in Korea. Patients (≥ 11 yr of age) with a bothersome cough for less than 30 days were enrolled during a 1-yr period at 22 hospitals in Korea. Nasopharyngeal swabs were collected for polymerase chain reaction (PCR) and for bacteriologic culture. In total, 490 patients were finally enrolled, and 34 (6.9%) patients tested positive for B. pertussis; cough duration (14.0 days [7.0-21.0 days]) and age distribution were diverse. The incidence was the highest in secondary referral hospitals, compared to primary care clinics or tertiary referral hospitals (24/226 [10.6%] vs. 3/88 [3.4%] vs. 7/176 [4.0%], P = 0.012), and the peak incidence was observed in February and August (15.8% and 15.9%), with no confirmed cases between March and June. In the multivariate analysis, post-tussive vomiting was significantly associated with pertussis (odds ratio, 2.508; 95% confidence interval, 1.146-5.486) and secondary referral hospital showed a borderline significance. In conclusion, using a PCR-based method, 6.9% of adolescent and adult patients with an acute cough illness had pertussis infection in an outpatient setting. However, hospital levels and seasonal trends must be taken into account to develop a better strategy for controlling pertussis.Entities:
Keywords: Adult; Hospitals; Incidence; Pertussis; Seasons
Mesh:
Substances:
Year: 2014 PMID: 25246741 PMCID: PMC4168176 DOI: 10.3346/jkms.2014.29.9.1232
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 2.153
Fig. 1Six provinces and numbers of participating hospitals. In total, 22 hospitals (or clinics) participated in this study; numbers in parenthesis refer to those of participating primary, secondary, and tertiary hospitals, respectively.
Fig. 2Flow diagram of enrolled patients. PCR, polymerase chain reaction.
Baseline characteristics of the participants (n = 490)
*Mean±SD; †Median (Interquartile range). COPD, chronic obstructive pulmonary disease; DTaP, diphtheria, tetanus, acellular pertussis.
Fig. 3Incidence of pertussis by hospital levels. The incidence was the highest in secondary referral hospitals compared to tertiary or primary care hospitals (P = 0.012).
Fig. 4Seasonal trends of the incidence of pertussis. Peak incidences were observed in February and August; no pertussis cases were identified between March and June.
Fig. 5Incidence of pertussis by provinces. The incidence rates range from 3.8% to 8.0% among the six provinces and the two southern provinces (Gyeongsang-do and Jeolla-do) show the lowest rates, with no statistical significance.
Fig. 6Incidence of pertussis by age group. The age distribution of the confirmed cases was diverse (P > 0.05 by chi-square test).
Clinical characteristics between confirmed cases and other patients
BA, bronchial asthma; COPD, chronic obstructive pulmonary disease.
Multivariate analysis for risk factors for predicting pertussis infection*
*Hosmer-Lemeshow test, chi-square=1.502 and P=0.959. CI, confidence interval; HR, hazard ratio; S.E., standard error.