International Journal of Infectious Diseases 55 (2017) 86–91
Contents lists available at ScienceDirect
International Journal of Infectious Diseases
journal homepage: www.elsevier.com/locate/ijid
A Case-control Study of Risk Sources for Severe Fever with
Thrombocytopenia Syndrome in Hubei Province, China
a,1 a,1 a a a a
Xuesen Xing , Xuhua Guan , Li Liu , Junqiang Xu , Guoming Li , Jianbo Zhan ,
a a a a a b
Gongping Liu , Xiaoqing Jiang , Xingfu Shen , Yongzhong Jiang , Yang Wu , Hao Zhang ,
c d a a a,
Jing Huang , Fan Ding , Sha Sha , Man Liu , Faxian Zhan *
a
Hubei Provincial Center for Disease Control and Prevention, Wuhan,China. No. 6 north Zhuodaoquan Road, Hongshan District,
2
Wuhan City, Hubei Province, China
b 3
Yichang City Center for Disease Control and Prevention, Yichang, China
c 4
Enshi County Center for Disease Control and Prevention, Enshi, China
d 5
Chinese Center for Disease Control and Prevention, Beijing, China
A R T I C L E I N F O A B S T R A C T
Article history: Background: Severe fever with thrombocytopenia syndrome (SFTS), an emerging infectious disease
Received 20 November 2016
caused by a novel bunyavirus, was discovered in rural areas of Central China in 2009.
Received in revised form 3 January 2017
Methods: A case-control study based on hospital data was applied to detect the potential risk sources for
Accepted 5 January 2017
SFTS in SFTS-endemic counties in Hubei Province. Cases were defined as hospitalized SFTSV confirmed
Corresponding Editor: Eskild Petersen,
patients. Controls were randomly selected from non-SFTSV patients in the same hospital ward within
Aarhus, Denmark
2 weeks of inclusion of the cases, and they were matched by age (+/À 5 years) and gender according to
1:2 matching condition.
Keywords:
Results: 68 cases and 136 controls participated in this study. In multivariate analysis, “Contact with cattle
case-control
tick” was the major risk source (Conditional Logistic Regression OR-MH = 8.62, 95% CI = 1.79-41.51),
severe fever with thrombocytopenia
syndrome outdoor activities and working in weeds or hillside fields could increase risk of cattle tick contact and
risk factors SFTS infection (Conditional Logistic Regression OR-MH = 8.82, 95% CI = 1.69-46.05, P value = 0.01).
tick exposure Conclusion: Our results suggested cattle might be dominant hosts in SFTS-endemic regions in Hubei
cattle tick
Province, which provided clues to transmission mechanism of “vectors, host animals, and humans”, thus
endemic
more effectively preventing and controlling the disease.
© 2017 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-
nc-nd/4.0/).
Introduction 23 provinces, of which 2750 (51.4%) were lab-confirmed cases.
Henan, Shandong, Hubei, Anhui, Liaoning, Zhejiang, and Jiangsu
Severe Fever with Thrombocytopenia Syndrome (SFTS) is a reported 99.3% of those lab-confirmed cases. The fatality rate of the
4
newly emerging infectious disease caused by the SFTS virus, a lab-confirmed cases was 7.9%. Furthermore, SFTS has also been
1,2 5–7
genera in the family Bunyaviridae. Its major clinical symptoms recognized in Japan, South Korea, and the United States. In
are fever, thrombocytopenia, gastrointestinal symptoms, and recent years, it has become an increasingly important global health
leukocytopenia. SFTS was first reported in the rural areas of threat.
Central China’s Hubei and Henan Provinces in 2009. with a case- The epidemic SFTS season appears to be between April and
3
fatality rate of up to 30%. During 2011 and 2014, 5352 suspected, October, and its peak occurs from May to July. The seasonal
probable, and lab-confirmed SFTS cases were reported in distribution of SFTS cases is synchronous with the ecological habits
1–4
of ticks. Most (88.3% of) SFTS cases involved peasants living in
wooded or hilly areas or working in the fields. People between the
4
* Corresponding author. Tel.: +86 027 87652061. ages of 50 and 74 years accounted for 67.6% of all cases. Some
–
E-mail address: [email protected] (F. Zhan). 1 4,8
patients with an SFTS diagnosis reported a history of tick bite.
1
These authors contributed equally to this work: Xuesen Xing, Xuhua Guan.
2 In the study focusing on Jiangsu Province, a multiple variable
E-Mail: [email protected].
3 logistic regression analysis showed that raising goats, raising
E-Mail: [email protected].
4
E-Mail: [email protected]. cattle, farming, and grazing were risk factors for SFTSV 5
E-Mail: [email protected].
http://dx.doi.org/10.1016/j.ijid.2017.01.003
1201-9712/© 2017 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. This is an open access article under the CC BY-NC-ND
license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
X. Xing et al. / International Journal of Infectious Diseases 55 (2017) 86–91 87
9,10
infection. Fan Ding et al. found that the odds ratio for SFTS was antigen cutoff value was 21.56PP (the mean +3 x SD PP values in
15
2.4 to 4.5 fold higher for patients who reported tick bites or the negative-control sera]].
presence of ticks in their living areas. Other independent risk
factors included cat or cattle ownership and the reported presence Data Collection
11
of weeds and shrubs in the working environment. SFTSV RNA has
been detected in ticks, animals, and SFTS cases, and the nucleic acid The professionals from provincial, city, and county CDCs were
1–4
sequences have high homology (93-100%) among them. These trained to interview and administer a standardized questionnaire
findings suggest that ticks are the insect vectors for transmitting to cases and controls. Participants/patients were asked for their
the virus to humans. However, several studies have provided demographic information (age, gender, ethnic group, home
evidence to highlight the risk of person-to-person transmission of address, occupation), and they were asked questions concerning
SFTSV through direct blood contact with the patient, especially their living environments (e.g., landform, environment, poultry, or
3,12,13
when the index patient has a high blood virus load. animal raising, house rats, wild animals), exposure history within
Until now, the mode of SFTSV transmission has remained 2 weeks prior to fever onset (e.g., travel history, tick touch or bite,
9,10
unclear. The risk factors for SFTS infection are diverse, did not contact with suspected SFTS patients, contact with similar cases),
clarify what kind of tick source exposure at high risk, and there is a and contact with animals and vectors (animal species and types of
lack of targeted prevention and control measures for use in the vectors). Completed questionnaires were systematically verified
regions of endemicity. Further investigations regarding the risk by provincial CDC study coordinators for data completeness. Data
sources are needed to effectively prevent and control the disease. were double entered into an EpiData 3.02 (the EpiData Association,
Here, we report the results of such a study conducted in Hubei Denmark, Europe) database, and this data entry was followed by
Province, China. consistency checking.
Materials and Methods Statistical Analysis
Study design Pearson Chi-Squared and Fisher’s exact tests were used to
compare the categorical variables, when appropriate. Maximum
An individual matched case-control study design based on likelihood estimates for the matched odds ratios (ORs) and
hospital data was applied to detect the potential risk sources for corresponding 95% confidence intervals (95%CIs) were calculated
SFTS. Cases were defined as hospitalized patients with a fever using a conditional logistic regression model and the Wald test.
(body temperature 38 C) associated with thrombocytopenia SPSS version 12.0 (IBM, Armonk, NY, USA) was used for all the
9
(platelet count < 100 Â 10 /L) and leukopenia (peripheral white statistical analyses. All the tests were 2-tailed, and the statistical
9
blood cell count < 3.0 Â 10 /L), and who tested positive in the significance level was set at P <0.05.
laboratory for SFTSV infection (i.e., qRT-PCR or IgM ELISA during
the acute illness phase). Controls were defined as matched patients Ethical approval
with negative laboratory test results for SFTSV infection (i.e., qRT-
PCR, IgM and IgG ELISA during the acute phase). The controls were The National Health and Family Planning Commission deter-
randomly selected from a pool of patients who were first mined it was necessary to collect SFTS data as part of a continuing
hospitalized in the same ward within 2 weeks of inclusion of public health investigation into an emerging outbreak. The study
the cases, and they were matched by age (+/À 5 years) and gender was approved by the institutional review board of the Hubei
according to a 1:2 matching condition. Provincial Center for Disease Control and Prevention. Written
All Level 2 and above hospitals including the national, informed consent was obtained from all the participants after they
provincial, municipal, county-level hospitals in Hubei Province were provided with detailed descriptions of the potential benefits
carried out active surveillance of SFTS in the regions of endemicity of the study.
in Hubei Province in 2011. When a patient with fever (body
temperature 38 C) went to the hospital, the doctor conducted a Results
routine blood test. A patient suspected to have a fever (body
temperature 38 C) associated with thrombocytopenia and Characteristics of the study population
leukopenia had to be admitted to hospital, and all those cases
were reported to the Provincial Center for Disease Control and A total of 204 persons participated in this study, including
Prevention (CDC) via the electronic National Notifiable Diseases 68 cases and 136 matched controls; therefore, the matching ratio
Surveillance System. Field investigations of suspect patients were was about 1:2. The cases came from 13 counties. The most
completed as soon as they were reported by the investigators from frequently reported cases were from Guangshui county (23.5%, 16/
the local CDC, and the blood samples were gathered for further 68), followed by Macheng county (19.1%, 13/68) (Figure 1).
pathogenic identification. Meanwhile, the investigators also Among the 68 cases, 34 had only positive PCR results, 6 had only
searched for the controls according to the matching requirements positive IgM ELISA results, and 28 had both positive PCR and IgM
and collected blood samples for further pathogenic identification. ELISA results. Participants between the ages of 40 and 69 years old
made up the majority (79.4%) of the cases, the female to male ratio
Experimental detection was 1.06:1 (35/33), and 92.6% were peasants (63/68) (Table 1). No
demographic differences (e.g., age, gender, ethnicity, and occupa-
TaqMan quantitative real-time reverse transcription PCR (qRT- tion) were observed between the cases and the controls (Table 1).
PCR) was performed on all samples using a certified real-time RT-
PCR kit for clinical diagnosis (SFDA registration no. 340166, China). Univariate analysis
The quantitative real-time RT-PCR assay was able to discriminate
SFTSV infection from other vector-borne viral diseases in humans, Matched case control analysis in this study was adjusted for age
with a potential detection limit of 10 viral RNA copies/ml or 10 TCID and sex matching. As shown in the univariate analysis, living
14
(50)/ml virus load. Serological antibodies against SFTSV were environments characterized by many weeds and much hillside
detected using a double-antigen sandwich ELISA (the double- fieldwork were potential risk factors for SFTS (Table 2).
88 X. Xing et al. / International Journal of Infectious Diseases 55 (2017) 86–91
Table 1
Demographic characteristics of the 68 cases and 136 controls in Hubei Province, China, 2011.
2
Variable Classification Number exposed ß P value
Cases Controls
N = 68 (%) N = 136(%)
Ethnicity Han 68(100.00) 133(97.79) 1.52 0.22
Other 0(0.00) 3(2.21)
Sex Male 33(48.53) 64(47.06) 0.04 0.84
Female 35(51.47) 72(52.94)
Age group 0-39 4(5.88) 5(3.68) 0.97 0.91
40-49 14(20.59) 34(25.00)
50-59 24(35.29) 45(33.09)
60-69 16(23.53) 33(24.26)
70 10(14.71) 19(13.97)
Occupation Peasant 63(92.60) 117(86.00) 1.91 0.17
Other 5(7.40) 19(14.00)
The tick exposure source was further classified into 4 bitten by environment ticks OR-MH = 12.00, 95% CI = 1.44-99.67)
subgroups; namely, “see ticks,” ‘contact with ticks,” “catch ticks,” (Table 3).
and “bitten by ticks” (Table 2). Among the different modes, “bitten On the basis of the multivariate conditional logistic regression
by ticks’ showed the highest risk of SFTS (OR-MH = 16.00, 95% analysis of tick exposure sources, the further multivariate
CI = 3.68-69.59), and these bites were mainly caused by animal conditional logistic regression analysis of the relationship between
ticks (animal tick indicates a tick that has bitten an animal) (OR- tick exposure (“contact with cattle ticks” and “bitten by environ-
MH = 20.00, 95% CI = 2.56-156.24). Among the various types of ment ticks”) and working and living conditions (work time
ticks, ‘cattle ticks’ were associated with the highest risk source of protection, skin damage at work, and so on) found that “cattle
SFTS (OR-MH for see ticks = 12.00, 95% CI = 2.97-48.50; OR-MH for tick contact” was independent risk source (Conditional Logistic
contact with ticks = 8.25, 95% CI = 2.48-27.42; OR-MH for catch Regression OR-MH = 8.82, 95% CI = 1.69-46.05, P value = 0.01)
ticks = 15.00, 95% CI = 1.81-124.35), followed by dog ticks and (Table 4).
environment ticks(Environment tick indicates a tick parasitic in
the grass, tea, or other environment.) (Table 2). Discussion
Multivariate analysis Previous studies have also shown that “tick exposure” is a major
1–4,8,11
risk factor for SFTS infection , but no study has yet shown
On the basis of the univariate analysis, the multivariate which source of tick exposure posed the greatest risk; i.e., animals,
conditional logistic regression analysis of tick exposure sources environment, etc. Our study found that “contact with cattle ticks”
found that “contact with cattle ticks” and “bitten by environment was a major risk source after adjusting for tick exposure, and
ticks” were risk sources after adjusting for tick exposure outdoor activities and working in weeds and in hillside fields could
(Conditional Logistic Regression OR-MH for contact with cattle increase the risk source of cattle tick contact and, therefore, SFTS
ticks = 7.70, 95% CI = 1.64-36.21; Conditional Logistic Regression for infection.
Figure 1. Distribution of patients and controls in different cities. This map was created by MapInfo 7.0.
X. Xing et al. / International Journal of Infectious Diseases 55 (2017) 86–91 89
Table 2
Variables associated with SFTS and the univariate analysis of 68 cases and 136 controls in Hubei Province, China, 2011.
2-
Factor/source Classification Number exposed OR-MH*(95%CI) ß MH P value
Cases Controls
N = 68(%) N = 136(%)
Weeds around residence 59(86.8) 74(54.4) 6.50(2.63-16.04) 22.51 <0.0001
working area 51(75.0) 64(47.1) 3.92(1.87-8.24) 15.04 0.0001
sit on grassland 40(58.8) 33(24.3) 5.27(2.52-11.04) 23.50 <0.0001
Field work hillside 32(47.1) 22(16.2) 6.25(2.74-14.27) 22.62 <0.0001
flat 10(14.7) 26(19.1) 0.73(0.33-1.62) 0.62 0.43
woodland 4(5.9) 4(2.9) 2.00(0.50-8.00) 1.00 0.32
Pick yes 10(14.7) 10(7.4) 3.50(0.99-28.48) 3.85 0.050
#
Work time protection yes 1(1.5) 7(5.1) – – 0.33
Skin damage yes 17(25.0) 20(14.7) 2.17(0.97-4.83) 3.77 0.052
at work
a
See ticks yes 47(69.1) 30(22.1) 8.11(3.53-18.62) 41.80 <0.0001
cattle 21(30.9) 9(6.6) 12.00(2.97-48.50) 24.75 <0.0001
dog 13(19.1) 9(6.6) 3.13(1.25-7.79) 7.23 0.0072
pig 3(4.4) 2(1.5) 3.00(0.50-17.95) 1.60 0.21
poultry 5(7.4) 4(2.9) 2.65(0.58-12.37) 2.11 0.15
cat 1(1.5) 3(2.2) 0.67(0.069-6.41) 0.13 0.72
*
goat 1(1.5) 1(0.7) 2.0(0.13-31.98) 0.25 0.56
environment 23(33.8) 16(11.8) 4.00(1.79-8.95) 15.00 0.0001
b
Contact ticks yes 30(44.1) 14(10.3) 7.57(3.02-18.97) 32.06 <0.0001
dog 13(19.1) 5(3.7) 5.20(1.75-15.47) 12.97 0.0003
c
Cattle 19(27.9) 9(6.6) 8.25(2.48-27.42) 20.02 <0.0001
d
Catch ticks yes 16(23.5) 5(3.7) 7.75(2.57-23.41) 18.23 <0.0001
dog 9(13.2) 1(0.7) 18.00(2.28-142.08) 14.45 0.0001
cattle 8(11.8) 2(1.5) 15.00(1.81-124.35) 10.89 0.0010
e
Bitten by ticks yes 16(23.5) 2(1.5) 16.00(3.68-69.59) 25.00 <0.0001
f
animals 10(14.7) 1(0.7) 20.00(2.56-156.24) 16.41 0.0001
g
environment 6(8.8) 1(0.7) 12.00(1.44-99.68) 8.64 0.0033
Bitten by mosquitoes yes 15(22.1) 32(23.5) 0.88(0.38-2.07) 0.083 0.77
Bitten by other vectors yes 16(23.5) 33(24.3) 0.94(0.39-2.23) 0.022 0.88
OR-MH*: Matched case control analysis was adjusted for age and sex matching.
a
See ticks indicates a person who has seen ticks, but has not touched, caught, or been bitten by ticks without protection within 2 weeks prior to fever onset.
b
Contact ticks indicates a person who has physically touched, caught, or been bitten by ticks without protection within 2 weeks prior to fever onset.
b
Cattle tick indicates a tick that bites cattle
d
Catch ticks indicates a person who has only physically caught ticks or been bitten by ticks without protection within 2 weeks prior to fever onset.
e
Bitten by ticks indicates a person who has only been bitten by ticks without protection within 2 weeks prior to fever onset.
f
Animals tick indicates a tick that has bitten an animal.
g
Environment tick indicates a tick parasitic in the grass, tea, or other environment.
*
indicates Fisher exact.
Although 92.6% of our cases (63/68) were peasants, there was buffaloes, goats, dogs and so on, thus exposing them to potential
no significant occupational difference between the cases and tick bites. Previous studies have detected SFTSV in ticks collected
controls (P = 0.17). Peasants often labor, and they are commonly from several domestic animals, including cattle, buffaloes, goats,
inclined to touch the fur of domestic animals including cattle, dogs, and cats. Furthermore, serology positive for IgM antibodies
Table 3
Risk Sources associated with SFTS in a tick exposure multivariate analysis of 68 cases and 136 controls in
Hubei Province, China, 2011.
* OR-MH*: Matched case control analysis was adjusted for age and sex matching.
90 X. Xing et al. / International Journal of Infectious Diseases 55 (2017) 86–91
Table 4
Risk Sources associated with SFTS in the relationship multivariate analysis between tick exposure and
working and environment exposure of 68 cases and 136 controls in Hubei Province, China, 2011.
* OR-MH*: Matched case control analysis was adjusted for age and sex matching.
# indicates Fisher exact.
against SFTSV has been observed in dogs, cattle, and other on) showed that “cattle tick contact” was independent risk source
1,16–18
domestic animals in villages where the patients lived . (Conditional Logistic Regression OR-MH = 8.82, 95% CI = 1.69-46.05,
The differences in the rates of SFTSV infections among various P value = 0.01).In addition, previous studies have revealed that any
animal species and regions were statistically significant. In Laizhou potential exposure to ticks, especially living and working with
and Penglai counties of the Shandong Province, 69.5% of sheep, domesticated animals presenting high SFTSV antibodies, including
60.5% of cattle, 37.9% of dogs, and 47.4% of chickens were goats, dogs, cattle, pigs, and chickens, increased SFTS incidence
10,11,17,19,23
seropositive for SFTSV, and the prevalence of SFTSV RNA was rates . In summary, our study provided further evidence
19
ranging from 1.7% to 5.3% . In Jiangsu Province, 66.8% of goats, that cattle might be major amplifying and reservoir hosts in SFTS-
28.2% of cattle, 7.4% of dogs, 4.7% of pigs, 1.2% of chickens, 1.7% of endemic regions in Hubei Province.
geese, 4.4% of rodents, and 2.7% of hedgehogs were seropositive for Haemaphysalis longicornis from domesticated animals are the
SFTSV, and the Multiple variable logistic regression analysis dominant species of tick in endemic regions, and the nucleic acid
showed that raising cattle and so on were risk factors for SFTS sequences of viruses isolated from ticks have high homology (93%–
10 8,19
virus infection among farmers . In Hubei Province, the 100%) with SFTSV isolated from patients . In Hubei Province, 4
seropositivity rate was the highest among cattle (73.7%-80.0%), tick species from cattle are found, including Haemaphysalis
followed by goats (36.7-59.1%) and dogs (55.0%), and the positive longicornis (70.8%), Hyalomma detritum (26.5%), Rhipicephalus
rate of SFTSV RNA was also highest in cattle (26.3%), followed by microplus (1.9%), and Ixodes sinensis (0.8%), but SFTSV RNA is only
20,21
goats (9.1%) . Our multivariate conditional logistic regression detected in Haemaphysalis longicornis[20].Thus, Haemaphysalis
analysis of tick exposure sources showed that “contact with cattle longicornis might be the major vector of SFTSV, and its geographic
ticks” including touching ticks, catching ticks, or bitten by ticks and distribution and density might play a central role in the risk of
“bitten by environment ticks” were risk sources for SFTSV infection SFTSV infection among humans.
(Conditional Logistic Regression OR-MH for contact with cattle The results of our study are subject to several limitations. First,
ticks = 7.70, 95% CI = 1.64-36.21; Conditional Logistic Regression for one fundamental selection/surveillance bias rests in the case
bitten by environment ticks OR-MH = 12.00, 95% CI = 1.44-99.67). definition of SFTS. In regions of endemicity, clinicians may be
Ticks are commonly found in humid scrubby forests, meadows, or inclined to only report or think about SFTS when the patient
peatlands, and there is an obvious seasonal distribution of SFTS presents with epidemiological links, such as tick bites or residing
cases. The endemic starts around March, peaks between May and in hilly areas, hence excluding explorations of risk factors in these
July, and ends around November, which is highly correlated with particular areas. In order to reduce this bias, we carried out strict
1–3,22
the ecological habits of ticks . Previous several studies showed training and flow control. The clinicians had to conduct routine
that grazing, grass mowing, shrub, forest, and rainfed cropland blood tests for every patient with fever (38 C), and every patient
areas where the ticks commonly lived were associated with high with fever (38 C) associated with thrombocytopenia and
9,10,17
risk of SFTS incidence .but no study has yet showed which leukopenia had to be reported to the local CDC, which was
source of tick exposure posed the greatest risk; i.e., animals, responsible for the investigation of epidemiology and inquired into
environment, etc. On the basis of the multivariate conditional the patients’ exposure histories. The investigators from the local
logistic regression analysis of tick exposure sources, our further CDC first checked medical records. The patients with epidemio-
multivariate conditional logistic regression analysis of the logical links, such as tick bites or residing in hilly areas, according
relationship between tick exposure (“contact with cattle ticks” to clinician reports, were not included in this study.
and “bitten by environment ticks”) and working and living Second, biases could have occurred since we only selected our
conditions (work time protection, skin damage at work, and so controls from hospitals. These controls may not have been drawn
X. Xing et al. / International Journal of Infectious Diseases 55 (2017) 86–91 91
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