Carrier Frequency and Incidence of MUTYH-Associated Polyposis Based on Database Analysis in East Asians and Koreans
2025; 45(1): 77-84
Ann Lab Med 2018; 38(2): 102-109
Published online December 4, 2017 https://doi.org/10.3343/alm.2018.38.2.102
Copyright © Korean Society for Laboratory Medicine.
Min Hyuk Choi, M.D.1,2, Yu Jin Park, M.D.1, Myungsook Kim, M.T.1, Young Hee Seo, B.S.1, Young Ah Kim, M.D.2, Jun Yong Choi, M.D.3*, Dongeun Yong, M.D.1, Seok Hoon Jeong, M.D.1, and Kyungwon Lee, M.D.1*
1Department of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Korea.
2Department of Laboratory Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Korea.
3Department of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Correspondence to: Corresponding author: Jun Yong Choi. Department of Internal Medicine and AIDS Research Institute, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea. Tel: +82-2-2228-1974, Fax: +82-2-393-6884, seran@yuhs.ac
Co-corresponding author: Kyungwon Lee. Department of Laboratory Medicine, Severance Hospital, Research Institute of Bacterial Resistance, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea. Tel: +82-2-2228-2446, Fax: +82-2-313-0956, leekcp@yuhs.ac
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Listeriosis caused by
We retrospectively collected the data of all culture-positive cases of human listeriosis from three hospitals of different sizes in Korea during 2006?2016 and calculated the annual number of cases and incidence per 100,000 admissions.
A total of 58 patients with
Healthcare-associated infections caused by
Keywords:
Listeriosis caused by
An increase in the annual incidence of listeriosis has been reported in many countries recently [1,7,10,11,12]. Although a number of listeriosis outbreaks have been reported [13], most cases are sporadic. In addition, there is an increasing concern regarding the emergence of healthcare-associated listeriosis [11]. However,
Large-scale multilocus sequence typing (MLST) has been performed in a number of European countries to investigate the genotype-related characteristics of strains [1,4,6,15]. However, only a few groups have performed MLST studies of
We investigated the annual incidence, clinical characteristics, and outcomes of listeriosis at three different hospitals in Korea and evaluated the effects of appropriate empiric antimicrobial treatments on patient outcomes. In addition, we analyzed MLST profiles of a subset of
We retrospectively collected the data pertaining to all culture-positive cases of human listeriosis from three hospitals of different sizes (38 cases from hospital “A” [>2,000 beds; tertiary university hospital, Seoul], 10 cases from hospital “B” [>800 beds; tertiary university hospital, Seoul], and 10 cases from hospital “C” [>700 beds; secondary national hospital, Goyang]) in Korea during 2006–2016 and calculated the annual number of cases and incidence per 100,000 admissions at the three hospitals. We excluded duplicate cases.
The following clinical data were collected from electronic medical records: age at diagnosis, sex, underlying diseases, date of patient death or most recent visit, sampling sites, date of sample collection and report of culture results, and any antimicrobial agents administered during hospitalization. Available laboratory findings at the time of sample collection, including C-reactive protein (CRP) level, erythrocyte sedimentation rate (ESR), white blood cell (WBC) count, neutrophil percent, and antimicrobial susceptibility test results, were also obtained.
We performed MLST analysis for 19 isolates collected from hospital “A”, as described by Ragon et al [6]. The sequences of seven housekeeping genes (
This retrospective study was approved by the Institutional Review Board at Shinchon and Gangnam Severance Hospital (Seoul, Korea) and the National Health Insurance Service of Ilsan Hospital (Goyang, Korea).
Cases were categorized as CNS infections, BSIs, pregnancy-associated infections, or other infections based on the site of isolation of
The presence of the following immunocompromised conditions was documented: solid organ cancer, hematologic malignancy, type 2 diabetes mellitus (DM), chronic kidney disease, chronic respiratory disease, chronic liver disease, stroke, and autoimmune disease treated with corticosteroids.
The term CFR refers to non-pregnancy associated mortality within 30 days of the sample collection date.
Listeriosis was considered to be ‘healthcare-associated’ if (a) the onset of listeriosis symptoms occurred 48 hours post admission and there was no evidence of infection at admission; if (b) infections were acquired at other hospitals prior to transfer to the study hospitals; or if (c) infections were acquired during a previous admission within two weeks of presentation. Otherwise, listeriosis was considered to be community-associated, as previously reported [17,18].
Antimicrobial agents were categorized into three groups: first-line antimicrobial agents, defined as monotherapy or combinations of penicillin or ampicillin and gentamicin; alternative antimicrobial agents including trimethoprim-sulfamethoxazole, erythromycin (excluding ineffective use for pregnancy-associated infections) [19], vancomycin (excluding ineffective use for CNS infections) [20], imipenem, or meropenem; and other drugs classified as inadequate antimicrobial agents [10].
Incidence rates ratios (RRs) and 95% confidence intervals (CI) were calculated by comparing the mean incidence between 2006–2013 and 2014–2016.
In all variables included in the statistical analysis, we assessed whether they followed a Gaussian distribution using the Shapiro-Wilks test. We described the case characteristics using medians and interquartile ranges (IQRs). The significance of the differences between groups was tested with Fisher's exact test for qualitative data and the Mann-Whitney U test for quantitative data.
To obtain odds ratios (ORs), univariate and multivariate regressions were performed using logistic regression. Dependent variables included in the multivariate regressions were selected using Akaike's information criterion (AIC) based on forward stepwise logistic regression. The presence of variance inflation factors was also examined for all parameters of the multiple regression models.
All reported
Although the annual incidence of listeriosis was stable from 2006–2012, it has increased since 2013 (Fig. 1). The incidence of listeriosis was significantly higher in 2013–2016 than in 2006–2012 (RR 3.1; 95% CI 1.79–5.36;
Table 1 describes the clinical characteristics of cases by year. No statistically significant differences were observed in patient sex, infection type, isolate source, or CFR. Fig. 2 illustrates the increased annual incidence of three groups: pregnancy-associated infections, patients >60 years of age, and patients <60 years of age. There was no significant difference in pregnancy-associated infections; however, the incidence of patients >60 years of age increased.
The median age of all 58 patients was 62 years (IQR, 52–72 years). Thirty-one (53.4%) patients were males. Patient demographic and baseline characteristics according to community- and healthcare-associated infections are summarized in Table 2. Forty-two cases were classified as community-associated infection, and 16 cases were classified as healthcare-associated infection. Of the infections, 58.6% were BSIs, 25.9% were CNS infections, 8.6% were pregnancy-associated infections, and 6.9% consisted of other infections such as peritonitis (three of four cases) and pneumonia (one of four cases). Inadequate antimicrobial agents were most frequently observed in initial empiric treatment (60.3%), and first-line antimicrobial agents were selected in 31% (18 of 58) of cases; treatment regimen was mostly altered to first-line antimicrobial agents after obtaining culture results (median delay of 0 day; IQR, 0–2 days). All 14 isolates tested for antimicrobial susceptibility were susceptible to ampicillin, whereas only two of the 39 isolates showed resistance to trimethoprim-sulfamethoxazole and four of the 39 isolates were resistant to penicillin. There were no statistically significant differences between the community- and healthcare-associated infection groups in terms of median age at diagnosis, sex, or infection type. Of the non-pregnancy associated cases, 17 patients died within 30 days of sample collection. The healthcare-associated infection group showed a higher mortality rate than the community-associated infection group (56.2% vs 21.6%,
MLST analysis of 19 available
Variables associated with CFR are described in Table 4. Univariate analysis showed that healthcare-associated infection was associated with CFR (OR, 5.51; 95% CI, 1.57–21.04;
Human listeriosis is a rare disease; however, its incidence has increased in recent years in many countries [1,15,21]. Our data also demonstrated a significant increase of listeriosis at three Korean hospitals since 2013. It was mainly due to an increase in patients over the age of 60 years and patients in an immunocompromised state due to conditions such as solid organ cancer or type 2 DM.
Listeriosis exhibited a high CFR (29.3%) in our study. Using multivariate analysis, we found that healthcare-associated infections constitute a risk factor related to higher CFR compared with community-associated infections. In addition, the initial selection of appropriate empiric antimicrobial agents was associated with a low CFR. Therefore, initial empiric treatment should be chosen carefully in patients with healthcare-associated listeriosis.
However, it is difficult to select an adequate initial regimen because listeriosis does not present with any specific symptoms, and many classes of antimicrobial agents that are widely used in clinical settings, such as cephalosporins [15] and quinolones [22], are not effective against
A previous meta-analysis has suggested that
Because no major STs were found in the MLST analysis, the increased incidence we observed was likely due to sporadic cases rather than an outbreak. We compared the STs of
Our study had a number of limitations. It was a retrospective study, and only 19 of 58 isolates were subjected to MLST analysis, which could have biased the results and decreased the likelihood of identifying major type isolates. In addition, several important medical record details, such as infection source of listeriosis, were not available for most patients. However, although human listeriosis is a food-borne disease, it is difficult to determine the food source of infection because of the long incubation time of
This study demonstrated an increased incidence of listeriosis in elderly patients and those in an immunocompromised state at three Korean hospitals. Healthcare-associated infections caused by
We declare that we have no conflicts of interest.
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Increase in the number of
Trends in non-pregnancy-associated listeriosis categorized by (A) age distribution and (B) underlying disease, 2006–2012 vs 2013–2016.
Abbreviations: Postop, postoperative states; HM, hematologic malignancies; DM, diabetes mellitus; CRD, chronic respiratory diseases; CLD, chronic liver diseases; CKD, chronic kidney diseases.
Characteristics of yearly isolated listeriosis cases
Year | N | Incidence/100,000 inpatients | Age (yr) | Male sex | Community-associated infection | Infection types | No. of deaths | Culture results report time post sample collection (days) | Susceptibility (%) | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BSI | CNS | Pregnancy-associated | Other* | Ampicillin | Penicillin | Trimethoprim-sulfamethoxazole | ||||||||
2006 | 3 | 2.3 | 62.0 [57.0–65.5] | 2 | 2 | 0 | 3 | 0 | 0 | 1 | 4.0 [3.5–5.5] | 3 (100) | 1 (33.3) | 3 (100) |
2007 | 4 | 3.0 | 62.5 [29.0–70.5] | 2 | 3 | 2 | 1 | 1 | 0 | 2 | 5.0 [4.0–6.5] | 3 (100) | 2 (66.7) | 3 (100) |
2008 | 3 | 2.0 | 48.0 [24.0–60.0] | 1 | 2 | 1 | 1 | 1 | 0 | 1 | 4.0 [3.0–5.5] | 2 (100) | 2 (100) | 2 (100) |
2009 | 1 | 0.6 | 22.0 [22.0–22.0] | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2.0 [2.0–2.0] | 1 (100) | 1 (100) | 1 (100) |
2010 | 1 | 0.6 | 45.0 [45.0–45.0] | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 6.0 [6.0–6.0] | 2 (100) | 0 (0) | 1 (100) |
2011 | 4 | 2.4 | 71.5 [44.0–74.5] | 3 | 3 | 3 | 1 | 0 | 0 | 1 | 3.5 [2.5–4.0] | 1 (100) | 4 (100) | 4 (100) |
2012 | 3 | 1.7 | 59.0 [56.0–61.0] | 2 | 1 | 2 | 1 | 0 | 0 | 1 | 3.0 [3.0–4.0] | 2 (100) | 2 (100) | 2 (100) |
2013 | 8 | 4.7 | 55.5 [25.0–65.0] | 6 | 3 | 5 | 1 | 1 | 1 | 4 | 3.0 [2.5–6.0] | NA | 5 (100) | 3 (100) |
2014 | 7 | 4.1 | 56.0 [53.5–66.0] | 4 | 6 | 5 | 1 | 1 | 0 | 1 | 2.0 [2.0–2.5] | NA | 6 (100) | 4 (66) |
2015 | 10 | 5.6 | 74.0 [57.0–80.0] | 5 | 8 | 7 | 2 | 1 | 0 | 2 | 3.0 [2.0–4.0] | NA | 3 (100) | 5 (100) |
2016 | 14 | 7.5 | 62.5 [57.0–74.0] | 5 | 12 | 9 | 2 | 0 | 3 | 4 | 3.0 [2.0–4.0] | NA | 9 (100) | 9 (100) |
Baseline characteristics of patients with listeriosis
Total (N=58) | Community-associated infection (N=42) | Healthcare-associated infection (N=16) | ||
---|---|---|---|---|
Age (yr) | 62.0 [52.0–72.0] | 62.0 [47.0–72.0] | 61.0 [55.0–70.0] | 0.754 |
Male sex | 31 (53.4) | 20 (47.6) | 11 (68.8) | 0.251 |
Infection type | 0.396 | |||
BSI | 34 (58.6) | 24 (57.1) | 10 (62.5) | |
CNS | 15 (25.9) | 11 (26.2) | 4 (25.0) | |
Pregnancy-associated | 5 (8.6) | 5 (11.9) | 0 (0.0) | |
Other | 4 (6.9) | 2 (4.8) | 2 (12.5) | |
CFR | 17 (29.3) | 8 (21.6) | 9 (56.2) | 0.014 |
Culture results report time post sample collection (day) | 3.0 [2.0–4.0] | 3.0 [2.0–4.0] | 3.0 [2.0–6.0] | 0.404 |
Duration of inadequate antimicrobial treatment (day) | 2.0 [0.0–4.0] | 2.5 [0.0–4.0] | 2.0 [0.0–3.5] | 0.605 |
Underlying disease | 0.270 | |||
Solid cancer | 24 (41.4) | 14 (33.3) | 10 (62.5) | |
Hematologic malignancy | 3 (5.2) | 2 (4.8) | 1 (6.2) | |
Other immunocompromised conditions | 22 (37.9) | 17 (40.5) | 5 (31.2) | |
Pregnancy-associated | 5 (8.6) | 5 (11.9) | 0 (0.0) | |
Other | 4 (6.9) | 4 (9.5) | 0 (0.0) | |
Laboratory findings | ||||
C reactive protein (mg/L) | 52.1 [16.4–176.9] | 66.1 [14.1–164.4] | 35.5 [20.3–229.8] | 0.515 |
Erythrocyte sedimentation rate (mm/hr) | 48.5 [15.0–71.0] | 48.5 [22.0–71.0] | 32.5 [11.5–71.5] | 0.586 |
WBC count (109/L) | 11.1 [4.9–17.1] | 12.3 [4.9–17.8] | 10.3 [5.4–13.4] | 0.439 |
Neutrophils (%) | 86.0 [77.0–91.5] | 86.0 [74.4–91.5] | 86.1 [81.2–91.7] | 0.638 |
Initial empiric treatments | 0.339 | |||
First-line antimicrobial agents* | 18 (31.0) | 13 (31.0) | 5 (31.2) | |
Alternative antimicrobial agents† | 5 (8.6) | 5 (11.9) | 0 (0.0) | |
Inadequate antimicrobial agents | 35 (60.3) | 24 (57.1) | 11 (68.8) | |
Treatments post bacterial identification | 0.650 | |||
First-line antimicrobial agents* | 39 (67.2) | 27 (64.3) | 12 (75.0) | |
Alternative antimicrobial agents† | 7 (12.1) | 6 (14.3) | 1 (6.2) | |
Inadequate antimicrobial agents | 12 (20.7) | 9 (21.4) | 3 (18.8) | |
Antibiotic susceptibility test (n-%susceptibility) | ||||
Ampicillin | 14 (100.0) | 8 (100.0) | 6 (100.0) | 0.593 |
Penicillin | 35 (89.7) | 24 (85.7) | 11 (100.0) | 0.461 |
Trimethoprim-sulfamethoxazole | 37 (94.9) | 28 (96.6) | 9 (90.0) | 0.194 |
Available MLST test results for
N | ST/CC | Genetic lineage | Year(s) |
---|---|---|---|
4 | 9/9 | II | 2014–2016 |
2 | 7/7 | II | 2011, 2014 |
2 | 1/1 | I | 2014, 2016 |
2 | 59/59 | I | 2016 |
1 | 224/224 | I | 2009 |
1 | 91/14 | II | 2011 |
1 | 101/101 | II | 2013 |
1 | 121/121 | II | 2013 |
1 | 8/8 | II | 2014 |
1 | 5/5 | I | 2015 |
1 | 87/87 | I | 2016 |
1 | 18/18 | II | 2016 |
1 | 155/155 | II | 2016 |
Results of univariate and multivariate analyses of risk factors for case-fatality due to Listeriosis
Variables | Survived (N=37) | Died∥ (N=16) | Univariate analysis | Multivariate analysis | ||
---|---|---|---|---|---|---|
OR (95% CI) | OR (95% CI) | |||||
Age (≥60 yr)* | 15 (40.5) | 7 (43.8) | 1.14 (0.34–3.74) | 0.828 | ||
Sex, female* | 16 (43.2) | 8 (50.0) | 1.31 (0.40–4.32) | 0.650 | ||
Healthcare-associated infection* | 7 (18.9) | 9 (56.2) | 5.51 (1.57–21.04) | 0.009 | 12.15 (2.56–86.01)† | |
Immunocompromised state* | 33 (89.2) | 16 (100.0) | NA | |||
Prior history of solid organ or hematologic malignancy* | 16 (43.2) | 11 (68.8) | 2.89 (0.87–10.75) | 0.094 | ||
Bacterial identification report time post sample collection (+1 day) | 3.0 [2.0–4.0] | 3.0 [2.0–3.5] | 0.81 (0.53–1.14) | 0.279 | 0.67 (0.41–1.01)† | 0.0674 |
Duration of inadequate antibiotic treatment (+1 day) | 4.0 [2.0–6.0] | 3.0 [3.0–5.0] | 1.06 (0.82–1.34) | 0.650 | ||
Infection type* | ||||||
BSI | 25 (67.6) | 9 (56.2) | 1.0 | |||
CNS | 11 (29.7) | 4 (25.0) | 0.79 (0.19–2.86) | 0.726 | ||
Other | 1 (2.7) | 3 (18.8) | 8.31 (0.97–176.48) | 0.078 | ||
Initial empiric treatment* | ||||||
First-line antimicrobial agents‡ | 12 (32.4) | 2 (12.5) | 0.14 (0.01–0.85) | 0.074 | 0.08 (0.00–0.63)† | |
Alternative antimicrobial agents§ | 3 (8.1) | 2 (12.5) | 1.13 (0.14–7.70) | 0.902 | ||
Inadequate regimens | 22 (59.5) | 12 (75.0) | 1.0 | |||
Treatment following bacterial identification* | ||||||
First-line antimicrobial agents‡ | 27 (73.0) | 9 (56.2) | 0.58 (0.14–2.65) | 0.464 | ||
Alternative antimicrobial agents§ | 3 (8.1) | 3 (18.8) | 1.75 (0.23–14.22) | 0.587 | ||
Inadequate antimicrobial agents | 7 (18.9) | 4 (25.0) | 1.0 |