Rickettsia felis infection in febrile patients, Western Kenya, 2007-2010.
Article Type: Clinical report
Subject: Infection (Health aspects)
Medical research (Health aspects)
Medicine, Experimental (Health aspects)
Authors: Maina, Alice N.
Knobel, Darryn L.
Jiang, Ju
Halliday, Jo
Feikin, Daniel R.
Cleaveland, Sarah
Nganga, Zipporah
Junghae, Muthoni
Breiman, Robert F.
Richards, Allen L.
Njenga, M. Kariuki
Pub Date: 02/01/2012
Publication: Name: Emerging Infectious Diseases Publisher: U.S. National Center for Infectious Diseases Audience: Academic; Professional Format: Magazine/Journal Subject: Health Copyright: COPYRIGHT 2012 U.S. National Center for Infectious Diseases ISSN: 1080-6040
Issue: Date: Feb, 2012 Source Volume: 18 Source Issue: 2
Product: Product Code: 8000200 Medical Research; 9105220 Health Research Programs; 8000240 Epilepsy & Muscle Disease R&D NAICS Code: 54171 Research and Development in the Physical, Engineering, and Life Sciences; 92312 Administration of Public Health Programs
Geographic: Geographic Scope: Kenya Geographic Code: 6KENY Kenya
Accession Number: 281175418
Full Text: Rickettsioses are a major human health problem in many parts of the world, including sub-Saharan Africa (1,2). Awareness of rickettsiae as causes of public health problems has been increasing; several novel or emerging diseases caused by these pathogens have been recognized. In Kenya, recent reports have documented human infections with Rickettsia conorii (3,4) and R. felis (5) and tick infection with R. africae (6). Our objectives were to assess previous human exposure to rickettsiae and to determine the incidence of rickettsial infections among febrile and afebrile persons in western Kenya.

The Study

The study was conducted among patients visiting the Lwak Mission Hospital, a rural health care facility in western Kenya in the Asembo area, Rarieda District, in western Kenya (Figure 1). Lwak Mission Hospital serves as the field clinic for population-based infectious disease surveillance conducted by the Kenya Medical Research Institute and the US Centers for Disease Control and Prevention as described (7). The study was conducted with ethical approval from these institutions (protocol nos. 932 and 4566, respectively). To assess previous exposure to rickettsiae, we examined a randomly selected subset of 357 serum specimens collected January 2007 through October 2008 from patients participating in population-based infectious disease surveillance. Samples were screened at a dilution of 1:128 for IgG against spotted fever group (SFG) and typhus group (TG) rickettsiae by using an indirect fluorescence antibody assay (Fuller Laboratories, Fullerton, CA, USA).

Blood specimens were collected from the first 2 outpatients [approximately equal to] 5 years of age and the first 2 outpatients <5 years of age seen each day for acute febrile illness (recorded axillary temperature [greater than or equal to] 38.0[degrees]C without an obvious cause, defined as cough, difficulty breathing, chest pain, signs of meningitis, or bloody diarrhea) from November 2008 through February 2010. A positive malaria smear was not an exclusion criterion. During the same period, blood specimens were also collected from controls: a group of outpatients who did not have febrile, respiratory, or diarrheal illness during the preceding 2 weeks and asymptomatic persons who accompanied patients to the clinic.

To detect rickettsial DNA, we performed 3 quantitative PCRs: a genus-specific assay selective for a 74-bp segment of the citrate synthase (gltA) gene, a group-specific assay that detects a 128-bp segment of the outer membrane protein (ompB) gene for tick-borne rickettsiae, and a speciesspecific assay that detects a 129-bp segment of the ompB gene for R. felis (5,8). To identify which Rickettsia sp. was present in the positive specimens, we PCR amplified and sequenced segments of 4 rickettsial genes--17-kDa, ompB, and 2 R. felis plasmid genes (pRF and pRFS)--by using primers and procedures as described (5).


Overall, 205 (57.4%) of 357 specimens had antibodies against rickettsiae. Of 357 serum specimens tested, 200 (56.0%, 95% exact binomial CI 50.7%-61.2%) had detectable IgG against SFG antigen preparation. Antibodies against TG antigen preparation were detected in 52 (14.5%, 95% CI 11.0%-18.6%) of 357 specimens tested; 47 (90.4%) of these specimens that reacted to TG antigens were also positive for SFG antigens, and 5 (1.4%) of the 357 specimens were positive for TG antigens alone. Presence of antibodies against SFG or TG antigens was not associated with patient sex (p>0.05). In addition, patient age was not significantly associated with TG seropositivity (X2 for linear trend 3.41, df 1, p = 0.065). However, an incremental linear association was demonstrated between age and IgG seropositivity to SFG ([chi square] for linear trend 45.46, df 1, p<0.001) (Figure 2).

A total of 699 febrile patients who sought care at Lwak Mission Hospital from November 2008 through February 2010 and 236 afebrile persons enrolled during this same period were tested for rickettsiae (Table 1). Overall, 50 (7.2%, 95% CI 5.4%-9.3%) of the febrile patients and 8 (3.4%, 95% CI 1.5%-6.6%) of the afebrile persons had positive rickettsiae results according to the genus-specific gltA assay. Univariate logistic regression indicated that febrile patients were more likely than afebrile persons to have positive PCR results (odds ratio 2.20, 95% CI 1.03-4.70, p = 0.04). According to the ompB assay, all specimens tested were negative for tick-borne rickettsiae. BLAST searches (www.ncbi.nlm.nih.gov/blast/Blast.cgi) for homologous sequences determined that the segments amplified from the 3 genes had 100% nt homology with R. felis URRXWCal2 (Table 2).

In addition to fever, the most common clinical manifestations among patients with positive PCR results for rickettttsiae were headaches (100%), chills (93.8%), muscle aches (68.8%), and joint pains (68.8%). Rash was reported for 4.4% of rickettsiae-positive patients. Among febrile patients, no statistically significant associations were found between specific signs or symptoms and positive PCR results for rickettsiae (p>0.05). Samples from all febrile patients were Giemsa stained and examined; malaria parasites were detected in 79.2% and 73.4% of samples from patients who had PCR-positive and PCR-negative results for rickettsiae, respectively.


The 2007-2008 serosurvey found prevalence of IgG against rickettsiae to be high. Other countries in Africa have reported similar (28%-58%) seroprevalence (9,10). The finding that prevalence of IgG to SFG rickettsiae increased with age can, in part, be explained by cumulative exposure to the pathogen and lifelong persistence of IgG. The high number of patients seropositive for SFG and TG rickettsiae may be attributed to cross-reactivity between SFG and TG rickettsial antigens (11), although results from studies in animal models show that cross-reactivity between SFG and TG rickettsiae is not consistent (12). Znazen et al. (13) speculate that antibodies against R. felis may be the major cause of cross-reactions to TG-rickettsiae-specific and SFG-rickettsiae-specific antigens.


The identification of R. felis DNA sequences in febrile patients confirms the previous finding of this pathogen among febrile patients in Kenya (5). Our findings are also similar to those from northern Tanzania, where acute rickettsiosis was serologically confirmed for 8% of febrile hospital inpatients (14), and from rural Senegal, where 6% of febrile patients without malaria had positive R. felis test results (15). Our findings suggest that rickettsial infections should be considered in the differential diagnosis of febrile cases in western Kenya and that diagnostic capacity should be established. Clinicians in malaria-endemic areas should consider rickettsial co-infections in diagnostic protocols and treatment of patients with malaria and other febrile illnesses.

Dr Maina is a researcher at the Kenya Medical Research Institute and a PhD student at Jomo Kenyatta University of Agriculture and Technology, Kenya. Her research interests are the epidemiology and diagnosis of emerging zoonotic diseases in multihost systems to identify reservoir hosts.


We thank Immaculate Amadi, Kabura Wamburu, and Sylvia Omulo for their assistance and all the reviewers for their helpful comments.

This research was supported by the US State Department Biosecurity Engagement Program, Wellcome Trust UK (grant no. 081828/B/06/Z), the US Centers for Disease Control and Prevention, and the US Department of Defense Global Emerging Infections Surveillance and Response System Program.

Ms Maina was a researcher at the Kenya Medical Research Institute and a PhD student at Jomo Kenyatta University of Agriculture and Technology, Kenya, at the time of this study. Her research interest is in epidemiology and diagnosis of emerging zoonotic diseases in multihost systems to identify reservoir hosts.


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Author affiliations: Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya (A.N. Maina, Z. Ng'ang'a); Kenya Medical Research Institute, Kisumu, Kenya (A.N. Maina, D.L. Knobel), University of Pretoria, Onderstepoort, South Africa (D.L. Knobel); Naval Medical Research Center, Silver Spring, Maryland, USA (A.L. Richards, J. Jiang); University of Glasgow, Glasgow, Scotland, UK (J. Halliday, S. Cleaveland); and US Centers for Disease Control and Prevention, Nairobi (M. Junghae, D.R. Feikin, R.F. Breiman, M.K. Njenga)

DOI: http://dx.doi.org/10.3201/eid1802.111372

Address for correspondence: M. Kariuki Njenga, Centers for Disease Control and Prevention-Global Disease Detection, 2239 St. Johns Place, Woodbury, MN 55129, USA; email: knjenga@ke.cdc.gov
Table 1. Demographic characteristics of participants
in hospital-based survey, western Kenya, 2008-2010

                     No. (%) febrile,   No. (%) afebrile,
Characteristic           n = 699             n = 236        p value *

Age group, y                                                 <0.001
  0-1                    61 (8.7)           15 (7.0)
  2-5                   345 (49.4)          30 (14.1)
  6-17                  214 (30.6)          63 (29.6)
  18-44                  61 (8.7)           72 (33.8)
  [greater than or
    equal to] 45         18 (2.6)           33 (15.5)
  Missing                   0                  23
Sex                                                          <0.001
  Missing               352 (50.6)          73 (30.4)
  F                     344 (49.4)         163 (69.1)
  Missing                   3                   0

* By [chi square] test.

Table 2. Genetic sequence analysis results of rickettsial DNA
amplified from 17-kDa, ompB, and pRF genes from 21 human
specimens, Lwak Mission Hospital, Western Kenya, 2008-2010 *

           17-kDa    ompB gene
            gene      sequence    pRF gene   pRF[delta] gene
DNA no.   sequence   ([dagger])   sequence       sequence

1            +           +           -           -
2            +           +           +           -
3            +           +           -           -
4            +           +           -           -
5            +           +           -           -
6            +           +           -           -
7            +           +           -           -
8            +           +           -           -
9            +           -           -           -
10           +           +           +           -
11           +           -           -           -
12           +           -           -           -
13           +           -           -           -
14           +           +           -           -
15           +           +           +           -
16           +           +           -           -
17           +           -           -           -
18           +           +           +           -
19           +           +           +           -
20           +           -           +           -
21           +           +           +           -

* omp, outer membrane protein; pRf, R. felis plasmid;
+, positive; -, negative.

([dagger]) Rickettsia DNA from fleas, dogs, and cats
had 93%-99% nt sequence homology with R. felis.
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