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Severely impaired health status of non-notified Q fever patients leads to an underestimation of the true burden of disease

Published online by Cambridge University Press:  13 January 2015

J. A. F. VAN LOENHOUT*
Affiliation:
Academic Collaborative Centre AMPHI, Department of Primary and Community Care, Radboud university medical center, Nijmegen, The Netherlands
C. C. H. WIELDERS
Affiliation:
Department of Medical Microbiology and Infection Control, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
G. MORROY
Affiliation:
Academic Collaborative Centre AMPHI, Department of Primary and Community Care, Radboud university medical center, Nijmegen, The Netherlands Department of Infectious Disease Control, Municipal Health Service ‘Hart voor Brabant’, 's-Hertogenbosch, The Netherlands
M. J. M. COX
Affiliation:
Academic Collaborative Centre AMPHI, Department of Primary and Community Care, Radboud university medical center, Nijmegen, The Netherlands
W. VAN DER HOEK
Affiliation:
Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
J. L. A. HAUTVAST
Affiliation:
Academic Collaborative Centre AMPHI, Department of Primary and Community Care, Radboud university medical center, Nijmegen, The Netherlands
W. J. PAGET
Affiliation:
Academic Collaborative Centre AMPHI, Department of Primary and Community Care, Radboud university medical center, Nijmegen, The Netherlands Netherlands Institute for Health Services Research (NIVEL), Utrecht, The Netherlands
J. VAN DER VELDEN
Affiliation:
Academic Collaborative Centre AMPHI, Department of Primary and Community Care, Radboud university medical center, Nijmegen, The Netherlands
*
*Author for correspondence: Mr J. A. F. van Loenhout, Radboud university medical center, Department of Primary and Community Care, PO Box 9101, 6500 HB, Nijmegen, The Netherlands. (Email: [email protected])
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Summary

Q fever patients are often reported to experience a long-term impaired health status, including fatigue, which can persist for many years. During the large Q fever epidemic in The Netherlands, many patients with a laboratory-confirmed Coxiella burnetii infection were not notified as acute Q fever because they did not fulfil the clinical criteria of the acute Q fever case definition (fever, pneumonia and/or hepatitis). Our study assessed and compared the long-term health status of notified and non-notified Q fever patients at 4 years after onset of illness, using the Nijmegen Clinical Screening Instrument (NCSI). The study included 448 notified and 193 non-notified Q fever patients. The most severely affected subdomain in both patient groups was ‘Fatigue’ (50·5% of the notified and 54·6% of the non-notified patients had severe fatigue). Long-term health status did not differ significantly between the notified and non-notified patient groups, and patients scored worse on all subdomains compared to a healthy reference group. Our findings suggest that the magnitude of the 2007–2009 Q fever outbreak in The Netherlands was underestimated when only notified patients according to the European Union case definition are considered.

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2015 

INTRODUCTION

Q fever is a zoonosis caused by the intracellular bacterium Coxiella burnetii. Several studies have shown that many patients suffer from a severely impaired health status, including persistent fatigue, after acute Q fever [Reference Ayres1Reference van Dam9]. These symptoms have been reported for as long as 10 years after onset of illness [Reference Wildman3], but follow-up of health status for >2 years has so far only occurred in a relatively small number of patients (around ⩽100 cases) [Reference Ayres1, Reference Wildman3]. The current study is part of a cohort study on the long-term health status of Q fever patients [Reference van Loenhout10].

Q fever is a notifiable infectious disease within the European Union (EU). The main reasons for an infectious disease being notifiable are source identification and the possible implementation of control measures to protect public health. The current EU harmonized case definition for Q fever was introduced in 2008. Besides laboratory and epidemiological criteria, this case definition includes a clinical presentation with fever, pneumonia and/or hepatitis [11]. Therefore, not everyone with a laboratory diagnosis of an acute C. burnetii infection is notified to a national institute of public health, since some of the patients do not fulfil the clinical criteria.

The large outbreak of Q fever in The Netherlands, with a total of 3522 notified patients over the period 2007–2009 [12], offers a unique opportunity to study long-term health status in a large group of Q fever patients. We were interested in long-term health status of patients with an acute C. burnetii infection that were not notified based on the clinical criteria. Therefore, we conducted the present study in which we compared the long-term health status of notified acute Q fever patients and of patients who had serological evidence of an acute C. burnetii infection, but who were not notified because they had a clinical presentation other than fever, pneumonia or hepatitis (referred to in this paper as non-notified Q fever patients). This is important to help assess the true burden of disease due to a Q fever outbreak.

MATERIALS AND METHODS

The design used in this study was a cross-sectional study of Q fever patients 4 years after diagnosis, taking place from 2011 to 2013. This study was approved by the Medical Ethical Committee Brabant (METC Brabant, number NL35654·028·11).

Study population

Within this study, we grouped patients according to the current EU case definition for Q fever, which was introduced in July 2008 and revised in August 2012, although the criteria did not change in 2012 [13]. The current EU case definition is presented in Table 1.

Table 1. European Union case definition since 2008 (revised in 2012)

We refer to patients who fulfil the EU case definition as ‘notified Q fever patients’, vs. ‘non-notified Q fever patients’, who fulfilled the laboratory criteria but not the clinical criteria. The epidemiological criteria are not considered relevant in The Netherlands, since most of the country is potentially at risk for infection due to intensive animal husbandry (roughly 4 million cows, 1 million sheep, 400000 goats in 2013 [14]). Figure 1 shows the classification of the two study groups.

Fig. 1. Classification of the study groups in relation to all individuals with a Coxiella burnetii infection. * All patients were tested for Q fever in the laboratory after a request by their general practitioner or consultant physician. † Notified patients fulfil the EU case definition for Q fever (fever, pneumonia and/or hepatitis). ‡ Non-notified patients do not fulfil the clinical case definition because they had no fever, pneumonia and/or hepatitis.

All patients included in the present study were at least 18 years of age, had a laboratory diagnosis of an acute C. burnetii infection and were reported by the Laboratory of Medical Microbiology to the local Municipal Health Service (MHS). In addition, general practitioners (GPs) or consulting physicians who requested the laboratory test were informed of the laboratory results and provided patients with adequate treatment. The standard treatment used by GPs for patients with a C. burnetii infection in The Netherlands is 2–3 weeks of antibiotics, and the most commonly used antibiotic is doxycycline (in 2007 and 2008, doxycycline was the first prescribed antibiotic for 62·1% of Q fever patients) [12, Reference Dijkstra15]. Following a standard protocol, all reported patients were contacted by an expert (a physician or nurse) from the local MHS about their clinical symptoms during the acute phase of their illness, and only patients who reported fever, pneumonia and/or hepatitis were notified.

Symptoms of all patients, reported during the acute phase of Q fever at the MHS, were checked to classify all patients in the correct study groups according to the EU definition, since the case definition used by the MHS before July 2008 was based on ‘matching clinical symptoms’ instead of ‘fever, pneumonia and/or hepatitis’. Due to this check, ten patients originally qualified as notified patients were considered as non-notified patients in the analysis. The current Dutch case definition contains one additional criterion compared to the EU case definition, namely an onset of illness within 90 days before diagnosis [12]. This was added in 2008 to identify only recent infections [Reference Dijkstra16]. In our study, non-notified patients are only qualified as such because they do not fulfil the clinical criteria and not because their onset of illness was >90 days before diagnosis.

Notified Q fever patients (study group 1, Fig. 1)

This group consisted of those patients that fulfilled the EU case definition for Q fever [11]. All patients had an onset of illness in 2007 or 2008 and gave consent in the study by Morroy et al. [Reference Morroy7] to be included in further research studies (n = 562).

Non-notified Q fever patients (study group 2, Fig. 1)

Patients who fulfilled the laboratory criteria, but not the clinical criteria (fever, pneumonia and/or hepatitis) were eligible for this study group (n = 278). All patients had a positive laboratory test for Q fever in 2008 or 2009. The most frequently reported symptoms during the acute phase of Q fever in this group were muscular pain, headache, malaise, fatigue, coughing and sweating. For 33 patients, no symptoms were reported. These patients were not excluded from the study since all of them were seen by a physician, who requested a laboratory test, and contacted by the MHS. Since they did not fulfil the clinical criteria for a case definition, they were considered non-notified.

Data collection

Notified Q fever patients from 2007 and 2008 were contacted in 2011 and 2012, respectively (about 4 years after their onset of illness). Non-notified Q fever patients were contacted about 4 years after their positive laboratory result. To obtain a large enough sample size, we also contacted non-notified patients with a positive laboratory test in 2009.

All patients received an information letter, a consent form and a questionnaire by post. Patients were asked to return the signed consent form and the questionnaire simultaneously, or only the consent form, stating that they did not want to participate. Patients who did not respond received a reminder 4 weeks later by post. Patients who returned an incomplete questionnaire were contacted by telephone, post or email by a member of the research team.

Questionnaire

The questionnaires included the Nijmegen Clinical Screening Instrument (NCSI) [Reference Peters17], which consists of eight subdomains and was developed at the Department of Medical Psychology at Radboud university medical center. It provides normative data indicating normal functioning, mild problems or severe problems for each subdomain, based on the sum score of the individual questions of the subdomain. The thresholds for mild problems and severe problems were based on scores of healthy participants and chronic obstructive pulmonary disease patients, respectively [Reference Peters17]. To compare the health status scores of the patients, the above-mentioned reference group of healthy participants [Reference Peters17] was expanded to match the Q fever patients for age and gender. They were recruited via local newspapers in the city of Nijmegen area and asked to visit Radboud university medical center, University Center for Chronic Diseases Dekkerswald, where they completed an electronic questionnaire, including the NCSI. The lung function of the healthy reference group was tested, so that individuals with an undiagnosed underlying respiratory illness could be excluded. The healthy references were not serologically tested for Q fever, so it is possible that individuals are included who previously had a Q fever infection.

Information on individual characteristics of patients was also collected, namely: socio-demographic information (gender, age, educational level) and medical background information (comorbidity, any additional treatment for long-lasting effects of Q fever).

Data analysis

Differences in baseline characteristics between the patient groups were tested with Pearson χ 2 tests and independent-samples t tests. The proportion of severely affected patients was calculated for each NCSI subdomain for both study groups and compared to the healthy reference group. Differences in subdomain scores between the notified and non-notified Q fever patients were analysed using a multivariate model for each subdomain, with correction for relevant confounding characteristics. Data were analysed using SPSS for Windows v. 20 software (SPSS Inc., USA). A P value <0·05 was considered statistically significant, based on two-sided tests.

RESULTS

We received 448 questionnaires from notified Q fever patients (80% response) and 193 questionnaires from non-notified Q fever patients (69% response). There were statistically significant differences in mean age (54·4 vs. 51·8 years) and gender (57·6% vs. 69·3% male) between participants and non-participants, respectively, for the notified patients, and in mean age (50·2 vs. 43·2 years) for the non-notified patients (data not shown).

The baseline characteristics of the participating groups of notified and non-notified Q fever patients are presented in Table 2. Notified patients were significantly older and more often male than non-notified patients. There were no significant differences in educational level and comorbidity between the two groups. The groups contained similar proportions of patients that followed an additional treatment for long-lasting health effects of Q fever, except for additional treatment with antibiotics, which seemed to be slightly higher in the notified group.

Table 2. Baseline characteristics of notified and non-notified Q fever patients

* For age, the difference between the groups was tested using an independent-samples t test. For the other characteristics, Pearson's χ 2 test was used. We did not test the difference for the characteristic ‘Additional treatment for Q fever’.

Educational level for notified Q fever patients was available for patients that participated in a study by Morroy et al. (n = 370) [Reference Morroy7]. For the non-notified Q fever patients, this question was included only in the 2013 questionnaire, i.e. patients with a laboratory confirmation in 2009 (n = 169).

Comorbidity can be either a serious medical event or medical intervention in the past 5 years (e.g. cancer, heart attack, pacemaker), or a chronic illness (e.g. rheumatoid arthritis, ulcerative colitis, diabetes); n = 446 for the notified group and n = 192 for the non-notified group.

§ Additional treatment for long-lasting health effects of Q fever (e.g. fatigue). This information was self-reported by the patients; n = 446 for the notified group and n = 189 for the non-notified group.

Health status of a large proportion of the patients (both notified and non-notified Q fever patients) was severely affected at 4 years after onset of illness as measured by the NCSI, ranging from 14·1% for the subdomain Subjective Impairment to 54·6% for the subdomain Fatigue (Table 3). In both study groups, the subdomains Fatigue and General Quality of Life were the most severely affected. On all subdomains, the proportion of severely affected patients was higher compared to the healthy reference group.

Table 3. Proportion of severely impaired patients within each NCSI subdomain in the groups of notified and non-notified Q fever patients at 4 years after onset of illness/diagnosis, and individuals in a healthy reference group

NCSI, Nijmegen Clinical Screening Instrument.

Health status scores between notified and non-notified Q fever patients after 4 years were compared. There were no significant differences in subdomain scores between the groups after correcting for differences in gender and age (Table 4).

Table 4. Linear regression models presenting the NCSI scores for each subdomain at about 4 years after diagnosis for notified and non-notified Q fever patients, corrected for gender and age. Non-notified Q fever patients are the reference group. A lower score indicates better health

NCSI, Nijmegen Clinical Screening Instrument; CI, confidence Interval.

DISCUSSION

This is the largest study to date in which health status of Q fever patients (n = 448 notified patients) was assessed as long as 4 years after the acute episode, and the first study in which health status of notified and non-notified Q fever patients has been compared. A large proportion of notified and non-notified patients still suffer from a severely affected health status at about 4 years after infection, mainly for the subdomains Fatigue (50·5% and 54·6%, respectively) and General Quality of Life (42·3% and 44·4%, respectively). There were no significant differences in mean scores on any of the health status subdomains between these two groups.

Studies that assessed health status of large groups of notified Q fever patients at 12 or 12–26 months after onset of illness also found that the subdomains Fatigue (60·2% and 43·5%) and General Quality of Life (50·0% and 44·9%) were the most severely affected [Reference Morroy7, Reference van Loenhout8], similar to the results in our study. When comparing the proportions of severely affected patients on these subdomains to our own study results (50·5% and 42·3% of severely affected notified patients for Fatigue and General Quality of Life, respectively), it appears there is little improvement in health status between 1 and 4 years after onset of illness. These results are especially marked considering that there is a large overlap in patients that participated in our study and the study by Morroy et al. [Reference Morroy7], which suggests that these outcomes cannot be explained by differences between study cohorts. Studies that assessed health status at 5 and 10 years after the acute phase of Q fever in relatively small patients groups (n = 71 and 108, respectively) also found higher fatigue levels in cases than in controls [Reference Ayres1, Reference Wildman3].

The results of the present study imply that long-term health status is not determined by the symptoms during the acute phase of the disease. The only difference between the groups was found in the proportion of patients that received additional treatment with antibiotics for long-lasting effects of Q fever, which was higher in the notified group. This might be due to the fact that many notified patients suffered from pneumonia during the acute phase of Q fever and are more susceptible for a relapse of this condition. Our findings suggest that there is no basis to distinguish between patients with fever, pneumonia and/or hepatitis and patients with another clinical presentation in the case definition of Q fever, with respect to the long-term health impact. However, the aim of notifying cases is to identify recent infections and making changes the EU case definition needs careful assessment, as a more sensitive case definition would result in an increase of false positives (old infections, rather than recent infections).

Finally, the fact that our results show that non-notified cases experience a long-term health impact similar to notified cases, indicates that the magnitude of the Q fever epidemic over the period 2007–2009 in The Netherlands might be underestimated if only the 3522 notified cases are taken into account [12]. A study by van der Hoek et al. estimated the expected number of C. burnetii infections over this period at 44 000, based on data of blood donors [Reference van der Hoek18]. However, since all participants in our study visited their GP or consultant physician due to health problems at the time of the acute infection, we cannot extrapolate our study results to the entire population of individuals with a C. burnetii infection, since most of them did not seek medical attention due to mild or no health problems [Reference van der Hoek18Reference Raoult, Marrie and Mege20]. An upcoming population-based surveillance study in The Netherlands (n = 2163) might provide more insight into the long-term health impact of individuals infected with C. burnetii without being previously diagnosed as such.

Limitations

For most non-notified Q fever patients, one or more symptoms that could be attributable to Q fever were reported, but for some patients no symptoms were reported at all. The registration system of the MHS was not set up for research purposes. Symptoms of patients that did not have fever, pneumonia and/or hepatitis may not therefore have been systematically registered, and this might explain why some non-notified patients did not report symptoms. However, since all patients were specifically asked whether they suffered from fever, pneumonia and/or hepatitis, we assume that misclassification between the notified and non-notified group was not an important factor.

A minor limitation is that our study lacks a reference group which could provide information on the proportion of individuals with severe Fatigue or a severely affected General Quality of Life in the general population. In the healthy reference group, the proportion of individuals with a severely affected General Quality of Life is already quite high (19·8%). We expect this proportion to be even higher when measured in the general population. A study from 2009 that investigated the prevalence of fatigue in a random sample of the population in the city of Nijmegen found that over 30% suffered from chronic fatigue (fatigue present for longer than 6 months) [Reference van't Leven21]. In a German study, about 30% of individuals from the general population reported moderate fatigue during the last 6 months, while almost 10% of subjects reported substantial fatigue lasting ⩾6 months [Reference Kocalevent22]. These studies imply that baseline fatigue levels are already quite high in the general population and that the high proportion of patients severely affected on the Fatigue subdomain in our study might also include fatigue due to other reasons than Q fever.

Compared to other studies on Q fever by the same author [Reference van Loenhout8, Reference van Loenhout23], the response rates of these groups of participants are relatively low (94%, compared to 80% and 69% in the present study). This can partly be explained by the fact that these groups only received one reminder by post, while patients in the other studies received several reminders by telephone. Participants differed from non-participants in age and gender (respondents were older and more often female) and this might lead to an overestimation of the impact on health of patients, since women generally report more symptoms than men [Reference Haavio-Mannila24, Reference Ladwig25]. We feel that it is not likely that working patients exaggerate their symptoms to participate in a disability programme as this is checked by occupational physicians and leads to a reduced income in The Netherlands.

CONCLUSIONS

This study shows that long-term health status (which includes fatigue and general quality of life) is seriously reduced, both for notified and non-notified Q fever patients at 4 years after their onset of illness. Our findings suggest that the magnitude of the 2007–2009 Q fever outbreak in The Netherlands was underestimated when only notified patients according to the EU case definition are considered.

ACKNOWLEDGEMENTS

This work was supported by ZonMw, The Netherlands organization for Health Research and Development (project numbers 50-50405-98-131 and 205520006). We thank J. Vercoulen, C. Wijkmans, F. Dijkstra, P. Schneeberger, A. Olde Loohuis and R. Daemen for their contributions in developing the study protocol and advice during the study performance; J. van den Heuvel and F. de Leeuw for collecting data, and A. Tostmann for advice with respect to the figure.

DECLARATION OF INTEREST

None.

References

REFERENCES

1. Ayres, JG, et al. Post-infection fatigue syndrome following Q fever. Quarterly Journal of Medicine 1998; 91: 105123.CrossRefGoogle ScholarPubMed
2. Hickie, I, et al. Post-infective and chronic fatigue syndromes precipitated by viral and non-viral pathogens: prospective cohort study. British Medical Journal 2006; 333: 575.Google Scholar
3. Wildman, MJ, et al. Chronic fatigue following infection by Coxiella burnetii (Q fever): ten-year follow-up of the 1989 UK outbreak cohort. Quarterly Journal of Medicine 2002; 95: 527538.Google Scholar
4. Marmion, BP, et al. Protracted debility and fatigue after acute Q fever. Lancet 1996; 347: 977978.CrossRefGoogle ScholarPubMed
5. Hatchette, TF, et al. The effect of C. burnetii infection on the quality of life of patients following an outbreak of Q fever. Epidemiology & Infection 2003; 130: 491495.Google Scholar
6. Limonard, GJ, et al. Detailed analysis of health status of Q fever patients 1 year after the first Dutch outbreak: a case-control study. Quarterly Journal of Medicine 2010; 103: 953958.CrossRefGoogle ScholarPubMed
7. Morroy, G, et al. The health status of Q fever patients after long-term follow-up. BMC Infectious Diseases 2011; 11: 97.CrossRefGoogle ScholarPubMed
8. van Loenhout, JA, et al. Serious long-term health consequences of Q fever and Legionnaires' disease. Journal of Infection 2014; 68: 527533.Google Scholar
9. van Dam, AS, et al. A cross-sectional study to assess the long-term health status of patients with lower respiratory tract infections, including Q fever. Epidemiology & Infection 2015; 143: 4854.Google Scholar
10. van Loenhout, JA, et al. Assessing the long-term health impact of Q fever in The Netherlands: a prospective cohort study started in 2007 on the largest documented Q fever outbreak to date. BMC Infectious Diseases 2012; 12: 280.Google Scholar
11. Commission Decision of 28/IV/2008. Amending Decision 2002/253/EC laying down case definitions for reporting communicable diseases to the Community network under Decision No. 2119/98/EC of the European Parliament and of the Council. Official Journal of the European Union, 2008.Google Scholar
12. RIVM. National Institute for Public Health and the Environment: diseases and infections [in Dutch].Google Scholar
13. Commission implementing decision of 8 August 2008. Amending Decision 2002/253/EC laying down case definitions for reporting communicable diseases to the Community network under Decision No 2119/98/EC of the European Parliament and of the Council. Official Journal of the European Union, 2012.Google Scholar
15. Dijkstra, F, et al. Antibiotic therapy for acute Q fever in The Netherlands in 2007 and 2008 and its relation to hospitalization. Epidemiology & Infection 2011; 139: 13321341.CrossRefGoogle ScholarPubMed
16. Dijkstra, F, et al. The 2007–2010 Q fever epidemic in The Netherlands: characteristics of notified acute Q fever patients and the association with dairy goat farming. FEMS Immunology and Medical Microbiology 2012; 64: 312.Google Scholar
17. Peters, JB, et al. Development of a battery of instruments for detailed measurement of health status in patients with COPD in routine care: the Nijmegen Clinical Screening Instrument. Quality of Life Research 2009; 18: 901912.Google Scholar
18. van der Hoek, W, et al. Relation between Q fever notifications and Coxiella burnetii infections during the 2009 outbreak in The Netherlands. Eurosurveillance 2012; 17: 20058.Google Scholar
19. Dupuis, G, et al. An important outbreak of human Q fever in a Swiss Alpine valley. International Journal of Epidemiology 1987; 16: 282287.CrossRefGoogle Scholar
20. Raoult, D, Marrie, T, Mege, J. Natural history and pathophysiology of Q fever. Lancet Infectious Diseases 2005; 5: 219226.CrossRefGoogle ScholarPubMed
21. van't Leven, M, et al. Fatigue and chronic fatigue syndrome-like complaints in the general population. European Journal of Public Health 2010; 20: 251257.CrossRefGoogle ScholarPubMed
22. Kocalevent, RD, et al. Determinants of fatigue and stress. BMC Research Notes 2011; 4: 238.Google Scholar
23. van Loenhout, JA, et al. Assessing health status and quality of life of Q fever patients: the Nijmegen Clinical Screening Instrument versus the Short Form 36. Health and Quality of Life Outcomes 2013; 11: 112.Google Scholar
24. Haavio-Mannila, E. Inequalities in health and gender. Social Science & Medicine 1986; 22: 141149.CrossRefGoogle Scholar
25. Ladwig, KH, et al. Gender differences of symptom reporting and medical health care utilization in the German population. European Journal of Epidemiology 2000; 16: 511518.Google Scholar
Figure 0

Table 1. European Union case definition since 2008 (revised in 2012)

Figure 1

Fig. 1. Classification of the study groups in relation to all individuals with a Coxiella burnetii infection. * All patients were tested for Q fever in the laboratory after a request by their general practitioner or consultant physician. † Notified patients fulfil the EU case definition for Q fever (fever, pneumonia and/or hepatitis). ‡ Non-notified patients do not fulfil the clinical case definition because they had no fever, pneumonia and/or hepatitis.

Figure 2

Table 2. Baseline characteristics of notified and non-notified Q fever patients

Figure 3

Table 3. Proportion of severely impaired patients within each NCSI subdomain in the groups of notified and non-notified Q fever patients at 4 years after onset of illness/diagnosis, and individuals in a healthy reference group

Figure 4

Table 4. Linear regression models presenting the NCSI scores for each subdomain at about 4 years after diagnosis for notified and non-notified Q fever patients, corrected for gender and age. Non-notified Q fever patients are the reference group. A lower score indicates better health