Food safety measures that lower incidence of campylobacteriosis might also prevent Guillain-Barré syndrome.
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Distinguish the infection most closely associated with GBS
Analyze the temporal relationship between campylobacteriosis and GBS
Assess differences in the association between campylobacteriosis and GBS based on age
Evaluate the effect of infection-control measures on rates of campylobacteriosis and GBS
Infection with
Guillain-Barré syndrome (GBS) is an autoimmune condition that affects the peripheral nervous system. Patients typically describe ascending weakness and sensory disturbance that evolve over several days; during this acute phase, approximately one third of patients require ventilatory support. The condition is generally self-limiting, but for 3%–10% of patients, it is fatal (
An estimated 40%–70% of patients with GBS had an infection before GBS onset; for 6%–39% of these patients, the infection affected the gastrointestinal system (
During 1980–2006 in New Zealand, incidence of campylobacteriosis steadily increased. The notification rate in 2006 (379 cases/100,000 population) remains the highest national rate reported in the literature (
Because GBS is a serious illness that nearly always results in hospitalization, hospitalization data provided the most accurate available measure of GBS incidence. We obtained national hospital discharge data for the 23-year period 1988–2010 in New Zealand. To estimate the case-fatality proportion, we also obtained data on deaths from GBS for 1988–2008 (the most recent year available). Both datasets are collated and maintained by the New Zealand Ministry of Health.
Although hospitalization data are available for earlier years, we used 1988 as the starting point because that is when use of unique patient identifiers, the National Health Index (NHI), became universal in New Zealand. Use of the NHI enables identification and removal of repeat GBS hospitalizations for the same patient, thereby identifying the first GBS hospitalization for each case (hereafter called GBS hospitalization), which provides an estimate of the number of incident cases of GBS.
We selected all cases from 1988 on that had International Classification of Diseases, 9th and 10th Revisions, Clinical Modification and Australian Modification, codes for GBS (ICD-9 CM 357.0 and ICD-10 AM G61.0) recorded as the principal or additional diagnosis. Records of patients who had been transferred between hospitals were merged to create 1 hospitalization event. We identified repeat hospitalizations for the current year and for previous years, i.e., case-patients with the same NHI number previously admitted in the same or a previous year. Some patients were readmitted before universal use of the NHI in 1988, so the calculation needed to take these estimated repeat hospitalizations into account. (See
Since 1980, campylobacteriosis has been a notifiable disease in New Zealand. Medical practitioners are required to report all identified and suspected cases to the local medical officer of health. These data are in turn collated nationally by the Institute of Environmental Science and Research for the New Zealand Ministry of Health. We used published annual totals of notifications (
Hospitalizations for campylobacteriosis are recorded in hospital discharge data, which are electronically available for a similar period. However, a specific diagnostic code for
To assess the association between the 2 conditions, we investigated the incidence of GBS among patients hospitalized for campylobacteriosis. Because campylobacteriosis was only specifically identified in hospitalization data from July 1995, this analysis focused on the period starting in July 1995. To allow a follow-up period for GBS cases to emerge, we continued the inclusion period through December 2008.
For those cases identified, we first analyzed the time from hospital admission for campylobacteriosis to admission for GBS. For epidemiologic purposes, the risk period for GBS after
To assess the risk for GBS associated with campylobacteriosis, we calculated GBS hospitalization rates for comparison conditions, notably other infections that might be associated with an elevated risk for GBS. We used the GBS rate in the total New Zealand population as our reference rate for calculating age-standardized rate ratios for GBS after campylobacteriosis and other conditions of interest.
We also evaluated which age groups might be more vulnerable to development of GBS. To do so, we compared the age distributions of all patients hospitalized for GBS and those associated with campylobacteriosis with the age distributions for those with campylobacteriosis alone (hospitalized or with notified case).
Because of marked changes in campylobacteriosis disease incidence and some changes in case identification during the 23-year study period, some outcomes were measured over a shorter time. The periods associated with implementation of the
Data were analyzed by using Stata version 11.0 (StataCorp LP, College Station, TX, USA) and SAS version 9.1 (SAS Institute, Cary, NC, USA). CIs are given at the 95% level throughout. We used well-documented methods for calculating adjusted rates, rate ratios (RRs), and 95% CIs (
This study identified 2,056 first hospitalizations for GBS that occurred during 1988–2010, resulting in an average rate of 2.32 hospitalizations/100,000 population/year (
Guillain-Barré syndrome (GBS) hospitalization rates and campylobacteriosis notification rates, by year, New Zealand, 1988–2010. *Per 100,000 population.
For 1988–2010, there was a significant direct correlation between annual rates of hospitalization for GBS and annual rates of notification of campylobacteriosis cases (Spearman ρ = 0.52, p = 0.012). During 1988–2006, incidence of campylobacteriosis notifications and of GBS hospitalizations increased (
| Incident condition | Before intervention, 2002–2006 | After intervention, 2008–2010† | Change | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Total no. | Average/year | Rate‡ | Total no. | Average/year | Rate‡ | Rate ratio (95% CI) | p value | |||
| Campylobacteriosis notifications§ | 69,207 | 13,841 | 339.4 | 21,217 | 7,072 | 163.8 | 0.48 (0.48–0.49) | <0.0001 | ||
| Campylobacteriosis hospitalizations¶ | 4,669 | 934 | 23.2 | 1,603 | 534 | 12.2 | 0.53 (0.51–0.54) | <0.0001 | ||
| GBS hospitalizations¶ | 513 | 103 | 2.6 | 290 | 97 | 2.2 | 0.87 (0.81–0.93) | 0.0496 | ||
*GBS, Guillain-Barré syndrome.
†Excludes 2007, which was a transitional year.
‡Annual no. cases/100,000 person-years at risk. Denominator populations based on mean population estimates published by Statistics New Zealand (
During the postintervention period, notifications and hospitalizations decreased by ≈50% (
During 1995–2008, among the 8,448 patients hospitalized for campylobacteriosis, 35 were also hospitalized for GBS. The frequency distribution of time delays is shown in
| Interval, d | No. (%) persons hospitalized | Cumulative % |
|---|---|---|
| Concurrent | 29 (82.9) | 82.9 |
| 1–7 | 2 (5.7) | 88.6 |
| 8–28 | 3 (8.6) | 97.1 |
| 1,524 (4.2 y) | 1 (2.9) | 100 |
| Total | 35 (100) | Not applicable |
We calculated the rate of GBS hospitalizations among the cohort of patients hospitalized for campylobacteriosis and compared this with rates of GBS hospitalization among other patient cohorts hospitalized for infectious diseases (
| Initial hospitalization condition | ICD-9 codes | ICD-10 codes | Denominator population† | Subsequent GBS hospitalizations (concurrent hospitalizations)‡ | Crude rate§ | Age-standardized rate¶ (95% CI) | Age-standardized rate ratio (95% CI) |
|---|---|---|---|---|---|---|---|
| Infectious diseases (ICD chapter 1) | 001–139 | A00–B99 | 732,254 | 56 (273) | 90.7 | 87.0 (56.9–116.4) | 34.3 (29.2–40.3) |
| Pneumonia and influenza | 480–488 | J09–J18 | 250,399 | 19 (82) | 91.1 | 96.2 (25.1–167.3) | 37.9 (26.5–54.3) |
| Enteric diseases# | 001–002 004–008.42 008.44–009.3 | A00–A01 A03–A04.4 A04.6–A09 | 77,793 | 6 (21) | 93.3 | 132.0 (1.2–262.7) | 52.0 (32.2–84.2 |
| Campylobacteriosis | 008.43 | A04.5 | 8,448 | 5 (29) | 710.2 | 810.0 (41.4–1,578.7) | 319.4 (201.5–506.4) |
| Salmonellosis | 003 | A02 | 2,148 | 0 (0) | 0 | 0 | 0 |
| New Zealand population GBS rate | NA | NA | 53,617,400 | 1,320 | 2.5 | 2.5 (2.4–2.7) | Referent |
*GBS, Guillain-Barré syndrome; ICD, International Classification of Diseases; ICD-9, ICD 9th Revision; ICD-10, ICD 10th Revision; NA, not applicable.
†Denominator population based on either 1) incident hospitalizations for specific condition (number of acute and arranged first overnight hospitalizations as principal or additional diagnosis); or 2) total New Zealand population person-years for July 1995– December 2008 for calculating the New Zealand population GBS rate.
‡First hospitalization of GBS either 1) among those with a previous hospitalization in the preceding 30 d and excluding those with concurrent diagnoses (numbers in parentheses); or 2) in the total New Zealand population for July 1995–December 2008.
§Rate per 100,000 person-years at risk. For GBS hospitalizations after specific conditions, monthly rate has been multiplied by 12 to convert to annual rate.
¶Standard population is population of New Zealand according to the New Zealand 2006 Census of Population and Dwellings (
The age-standardized rate of GBS was 810.0 hospitalizations/100,000 person-years (95% CI 41.4–1,578.7) in the month after hospitalization for campylobacteriosis. The RR, compared with the rate of GBS hospitalizations among the New Zealand population, was 319.4 (95% CI 201.5–506.4). This rate was markedly higher than rates for the other patient cohorts examined (
Patients with GBS (median age 52.5 years) were significantly older than those hospitalized for campylobacteriosis (median 41 years), who in turn were significantly older than those with campylobacteriosis notifications (median 31 years) (
| Age group, y | Campylobacteriosis notifications | Camplyobacteriosis hospitalizations | GBS hospitalizations | GBS hospitalizations associated with camplylobacteriosis | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| No. (%) | Rate‡ | No. (%) | Rate‡ | No. (%) | Rate‡ | No. (%) | Rate‡ | ||||
| <5 | 15,232 (11.7) | 442.5 | 538 (6.4) | 13.9 | 45 (3.4) | 1.2 | 0 | 0 | |||
| 5–9 | 6,295 (4.9) | 176.9 | 200 (2.4) | 5.0 | 33 (2.5) | 0.8 | 2 (5.9) | 0.1 | |||
| 10–19 | 14,481 (11.2) | 203.7 | 965 (11.4) | 12.2 | 113 (8.6) | 1.4 | 3 (8.8) | 0 | |||
| 20–29 | 25,063 (19.3) | 385.9 | 1,509 (17.9) | 20.6 | 115 (8.7) | 1.6 | 1 (2.9) | 0 | |||
| 30–39 | 19,511 (15.0) | 270.7 | 935 (11.1) | 11.5 | 146 (11.1) | 1.8 | 3 (8.8) | 0 | |||
| 40–49 | 16,572 (12.8) | 237.0 | 747 (8.8) | 9.6 | 149 (11.3) | 1.9 | 5 (14.7) | 0.1 | |||
| 50–59 | 14,311 (11.0) | 261.9 | 778 (9.2) | 13.0 | 226 (17.1) | 3.8 | 6 (17.7) | 0.1 | |||
| 60–69 | 9,559 (7.4) | 255.7 | 824 (9.8) | 19.9 | 209 (15.8) | 5.0 | 7 (20.6) | 0.2 | |||
| 70–79 | 6,174 (4.8) | 235.9 | 1,046 (12.4) | 35.9 | 200 (15.2) | 6.9 | 5 (14.7) | 0.2 | |||
| 2,712 (2.1) | 190.8 | 906 (10.7) | 57.9 | 84 (6.4) | 5.4 | 2 (5.9) | 0.1 | ||||
| Total | 129,910 (100.0) | 270.4 | 8,448 (100.0) | 15.8 | 1,320 (100.0) | 2.5 | 34 (100.0) | 0.1 | |||
*GBS, Guillain-Barré syndrome. †Association with hospitalization for camplylobacteriosis. Includes subsequent and concurrent hospitalizations (campylobacteriosis and GBS diagnoses at time of hospital discharge). ‡Average annual no./100,000 population.
| Calculation | A. Patients with campylobacteriosis | B. Patients hospitalized for campylobacteriosis | C. Patients hospitalized for GBS | D. Patients hospitalized for GBS and campylobacteriosis‡ | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Age, y | Age, y | p value for age compared with A§ | Age, y | p value for age compared with B§ | Age, y | p value for age compared with C§ | ||||
| Mean | 33.7 | 43.7 | <0.0001 | 48.8 | <0.0001 | 50.3 | 0.7063 | |||
| Median | 31 | 41 | <0.0001 | 52.5 | <0.0001 | 54 | 0.7280 | |||
*GBS, Guillain-Barré syndrome.
†Referent.
‡Includes subsequent and concurrent hospitalizations (campylobacteriosis and GBS diagnoses at time of hospital discharge).
§Means compared with Student
This study shows how the incidence of an acute infectious disease, campylobacteriosis, can influence incidence of a serious neurologic condition, GBS. At the population level, hospitalizations for GBS were significantly correlated with notifications of campylobacteriosis for the same year. At the individual level, compared with rates for the New Zealand population as a whole, hospitalizations for campylobacteriosis were associated with an almost 320-fold increased risk for subsequent hospital admission for GBS in the next month.
Results also show that food safety measures to reduce contamination of fresh poultry meat with
A recent systematic review (
Compared with global estimates, rates of GBS in New Zealand are high. In a review of reported GBS rates during 1980–2000, worldwide incidence varied between 1.0 and 1.8 cases/100,000 population/year (
The 320-fold increased risk for GBS in the month after hospitalization for campylobacteriosis found in this study is higher than that previously reported. In a case–control study of GBS and potential antecedent infections in the United Kingdom, Tam et al. reported that persons with
The proportion of GBS cases attributable to preceding
The results of our study suggest that risk for GBS may not be uniform for different degrees of campylobacteriosis severity. Our study found that risk for GBS was ≈1 in 1,690 (5 in 8,448) among patients hospitalized for campylobacteriosis and that ≈25% of GBS cases were caused by campylobacteriosis. On the basis of an annual incidence of ≈100 GBS cases, these data suggest that ≈42,000 cases of campylobacteriosis occur each year in New Zealand. Current estimates of total campylobacteriosis incidence are higher. Annual notifications remain at ≈7,000 cases. A study from the United Kingdom estimated that 9.3 cases of campylobacteriosis occurred in the community for every notified case (
Analysis of the age distribution of patients with campylobacteriosis and GBS suggests that older age is a major risk factor for more severe outcomes (hospitalization and GBS) from this enteric infection. The rising incidence of GBS with increasing age in New Zealand is consistent with incidence observed in other countries (
One strength of this study is that it has been able to monitor a natural experiment in which campylobacteriosis incidence decreased by 50% within a few months, providing an unusual opportunity to assess the effect of this change on incidence of GBS. New Zealand’s comprehensive recording of national hospitalization data and use of a unique patient number also provided us with a consistent base for estimating population rates of GBS over a prolonged period. Although the spectrum of GBS includes extremely mild cases, studies elsewhere indicate that only ≈3.0%–5.8% of patients with GBS are not hospitalized (
One limitation of this study is the group used to compare risk for GBS: the total New Zealand population. A variety of conditions and events have been identified as possible GBS triggers (
The association between campylobacteriosis and GBS in New Zealand needs further investigation. It will be useful to continue to follow the trends identified here to assess the stability of the decrease in GBS, which will eventually give greater precision to the estimated contribution of campylobacteriosis. Ongoing monitoring of GBS should be included in the comprehensive surveillance of infectious diseases (
Our findings suggest the value of further research to identify other potentially preventable infectious causes of GBS.
Findings of this study have relevant implications for food safety programs. Although GBS is rare, the toll it takes on the individual patient is often high (
This study shows that food safety programs that successfully lower rates of campylobacteriosis might have the additional benefit of preventing GBS. This finding adds to the health and economic arguments for such control measures. The justification for such interventions is particularly strong where a substantial proportion of human disease can be linked to a widely consumed food source, such as contaminated poultry products, as it is in New Zealand (
Calculation of estimated repeat hospitalizations and incident cases of campylobacteriosis, New Zealand, 1988–2010.
We thank 2 anonymous reviewers for considerably improving this article.
The New Zealand Ministry of Health provided the hospitalization and mortality data, and the Institute of Environmental Science and Research provided the notification data.
Dr Baker is an associate professor at the University of Otago, Wellington. He is actively investigating the potential for public health surveillance to guide more effective interventions in a range of settings. His research includes a strong focus on infectious diseases and their determinants, particularly the effects of housing conditions and social and ethnic inequalities.
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