Abstract
Objective
To estimate the incidence of selected systemic autoimmune diseases (SAIDs) in approximately 14,000 male rescue/recovery workers enrolled in the Fire Department of the City of New York (FDNY) World Trade Center (WTC) Health Program and to compare FDNY incidence to rates from demographically similar men in the Rochester Epidemiology Project (REP), a population-based database in Olmsted County, Minnesota.
Patients and Methods
We calculated incidence for specific SAIDs (rheumatoid arthritis, psoriatic arthritis, systemic lupus erythematosus, and others) and combined SAIDs diagnosed from September 12, 2001, through September 11, 2014, and generated expected sex- and age-specific rates based on REP rates. Rates were stratified by level of WTC exposure (higher vs lower). Standardized incidence ratios (SIRs), which are the ratios of the observed number of cases in the FDNY group to the expected number of cases based on REP rates, and 95% CIs were calculated.
Results
We identified 97 SAID cases. Overall, FDNY rates were not significantly different from expected rates (SIR, 0.97; 95% CI, 0.77–1.21). However, the lower WTC exposure group had 9.9 fewer cases than expected, whereas the higher WTC exposure group had 7.7 excess cases.
Conclusion
Most studies indicate that the healthy worker effect reduces the association between exposure and outcome by about 20%, which we observed in the lower WTC exposure group. Overall rates masked differences in incidence by level of WTC exposure, especially because the higher WTC exposure group was relatively small. Continued surveillance for early detection of SAIDs in high WTC exposure populations is required to identify and treat exposure-related adverse effects.
Systemic autoimmune diseases (SAIDs) are relatively rare in North American and European populations and predominantly affect women (>75% of cases). Published incidence and prevalence estimates vary considerably, due, in part, to differences in characteristics of the underlying population that are associated with disease prevalence. Further, diagnoses may be based on clinical judgment rather than diagnostic criteria. The few studies of SAID incidence in occupational cohorts are subject to similar limitations, relying on self-reported diagnoses from survey responses1,2 or on diagnoses from death certificates.3 The lack of SAID incidence studies in specific occupational groups impedes efforts to identify nongenetic risk factors that might contribute to differences in disease distribution by occupation and over time.
The terrorist attacks on the World Trade Center (WTC) on September 11, 2001 (9/11), with subsequent building collapses and fires, exposed thousands of rescue/recovery workers and residents to aerosolized WTC dust— an amalgam of pulverized cement, glass fibers, silica, asbestos, lead, polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and polychlorinated furans and dioxins.4 Environmental sampling of the area around New York City identified 287 chemicals and chemical groups5; some had previously been linked to SAIDs in non— WTC-exposed workers.
The Fire Department of the City of New York (FDNY) WTC Health Program monitors a cohort of approximately 16,000 firefighters and emergency medical service (EMS) workers who participated in rescue/recovery efforts at the WTC site. Clinical observations of SAIDs in this mostly healthy, white male cohort triggered an interest in estimating the incidence of SAIDs in this population. The current study includes the following diagnoses: rheumatoid arthritis (RA), spondyloarthritis (psoriatic arthritis, seronegative arthritis, and ankylosing spondylitis), systemic lupus erythematosus (SLE), inflammatory myositis (polymyositis and dermatomyositis), antiphospholipid syndrome, Sjögren syndrome, systemic sclerosis (scleroderma), granulomatosis with polyangiitis (formerly, Wegener granulomatosis), and eosinophilic granulomatosis with polyangiitis (Churg-Strauss syndrome). We excluded sarcoidosis because we6 and others7,8 have previously reported on sarcoidosis after WTC exposure.
The primary study aims were to (1) estimate the incidence of SAIDs from September 12, 2001, through September 11, 2014, in male WTC-exposed FDNY rescue/recovery workers and (2) compare SAID incidence in our WTC-exposed cohort to rates from demographically similar men from Olmsted County, Minnesota, and to other published rates.
PATIENTS AND METHODS
Fire Department of the City of New York
We obtained information from FDNY employee databases, self-administered health questionnaires, FDNY physician records, and rheumatologist-reviewed patient medical records and self-reported information.
The FDNY WTC Health Program schedules monitoring evaluations of the WTC-exposed workforce every 12 to 18 months. This visit includes a physical examination and completion of a self-administered health questionnaire. In 2005, we added a question about doctor-diagnosed SAIDs, and in 2009, we created an autoimmune registry to capture potential cases in 2 ways. Most commonly, potential cases were reported on the physical health questionnaires. Specifically, the question asks: “Since your last FDNY WTC annual medical, has a doctor or health professional told you that you have arthritis or any autoimmune disease listed below?” Answer choices include “rheumatoid arthritis,” “lupus,” “polymyositis/ dermatomyositis,” and “other, for example, psoriatic arthritis or scleroderma.” Additionally, the registry included potential cases reported to an FDNY physician during a medical monitoring examination or a treatment visit. This information was recorded as part of the patient medical history.
The FDNY WTC disease registry clinician (N.J.) called all 739 patients in the autoimmune registry who potentially had SAID; 522 (70.6%) reported no diagnosis of autoimmune disease by a physician and were determined to be “reporting errors.” Of the remaining 217 possible cases, 63 were confirmed by documentation from treating physicians/rheumatologists that included the specific SAID diagnosis, treatment plan (medications), and approximate diagnosis date (month and year). We also identified 34 “probable” cases. Probable cases were patients who did not submit adequate documentation from their treating physician by the close of the study but reported an SAID diagnosis, met criteria of the initial screening phone call, and provided at least one piece of evidence supporting an SAID diagnosis, most commonly a medication used almost exclusively for SAIDs, as determined by 2 board-certified rheumatologists (J.B., B.Q.). Excluded possible cases (N=120) included 61 patients that the rheumatologists concluded lacked sufficient evidence for probable SAID and 59 patients we were unable to contact by either phone or mail. The final case population consisted of 63 confirmed and 34 probable SAID cases (N =97). Confirmed diagnoses met American College of Rheumatology criteria for SAID.9–15 The study was approved by the institutional review board at Montefiore Medical Center.
WTC Exposure Ascertainment
We used 2 measures of WTC exposure. Time of initial arrival at the WTC site was taken from the first post-9/11 questionnaire, which was administered starting October 2, 2001. “Arrival time” was categorized as arriving on the morning of 9/11 vs arriving any time thereafter until July 25, 2002,16 when the site was closed to FDNY workers. Questions about duration of work at the WTC site were added to the monitoring questionnaires on October 15, 2002. These questions asked members to indicate the months in which they worked at least 1 day at the WTC site between 9/11 and July 25, 2002.17 Duration (range, 1–10 months) was categorized as 7 or more vs 6 or fewer months. This split was chosen to designate 15.5% (n=2156) of the population as the high-duration group to match the 15.6% (n=2171) in the earliest arrival group to create a composite “higher WTC exposure measure” of WTC arrival during the morning of 9/11 and/or prolonged work at the WTC site for 7 or more months, classifying 28.2% (n=3912) of the population as “higher exposure.”
Study Population
The population at risk consisted of 14,966 WTC-exposed male firefighters and EMS workers. Inclusion criteria for this study required (1) having completed a monitoring questionnaire during or after 2005 to ensure the potential to self-report SAIDs, (2) not having a pre-9/11 SAID diagnosis, (3) having known exposure to the WTC site (known time and date of first arrival and number of months worked at the WTC site), (4) having a working telephone number, and (5) having provided written consent for research. The final study population totaled 13,892 patients (92.8% of the population at risk).
Rochester Epidemiology Project
The Rochester Epidemiology Project (REP) was established in 1966 and has medical records from over 700,000 former or current Olmsted County, Minnesota, residents. In 2010, the Olmsted County population included 70,485 males (82.8% white, n=58,328) compared with 13,892 males (88.5% white, n=12,294) in the FDNY cohort.18 The REP records include all conditions that come to medical attention in Olmsted County at Mayo Clinic and Olmsted Medical Center and their outpatient facilities, emergency rooms, and inpatient hospitalizations and from private practitioners, urgent care facilities, and nursing homes.
The REP provided age- and sex-specific incidence rates during a similar time period as the FDNY case accrual for the following 5 SAIDs: RA, psoriatic arthritis, ankylosing spondylitis, SLE, and scleroderma. Given their geographic distance from New York City (~1300 miles), it is likely that the REP participants are entirely non—WTC exposed. Occupational history was not available. For all REP cases, individual medical records were reviewed to validate the diagnosis using established diagnostic/ classification criteria.19,20
Statistical Analyses
We calculated incidence including both confirmed and rheumatologist-determined probable cases (N=97) for each specific SAID and for all SAIDs combined. The SAID incidence was calculated as the number of cases per 100,000 person-years. Person-time (denominator) accrual began on September 12, 2001, or the FDNY hire date, whichever was later. Follow-up ended on the earliest of the following events: death of the participant, end of the study (September 11, 2014), or, for retired members, the last FDNY treatment or medical monitoring visit. Approximate 95% CIs were calculated for standardized incidence ratios (SIRs) using the Poisson distribution21 and for direct standardized incidence rates using the modified gamma approximation method,22 which assumes a Poisson distribution. Because for probable cases we only had self-identified year of diagnosis, age and date of diagnosis were estimated using age on July 1 of the diagnosis year. For external comparison with non-FDNY cohorts, incidence rates were age adjusted to the US 2000 male population aged 18 years and older (Table 1).
TABLE 1.
Incidence of Systemic Autoimmune Diseases Directly Standardized to the 2000 US Male Population Aged 18 Years or Oldera
| Systemic autoimmune disease | FDNY cases | Rateb (standardized) | 95% CI |
|---|---|---|---|
| Rheumatoid arthritis | 40 | 19.0 | 12.1–28.9 |
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| Spondyloarthritis | 27 | 10.8 | 6.5–17.8 |
| Psoriatic arthritis | 21 | 8.8 | 4.8–15.6 |
| Seronegative arthritis | 3 | 1.0 | 0.2–5.5 |
| Ankylosing spondylitis | 3 | 1.0 | 0.2–5.5 |
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| Systemic lupus erythematosus | 11 | 5.1 | 2.0–11.6 |
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| Inflammatory myositis | 9 | 6.6 | 2.0–15.6 |
| Polymyositis | 7 | 6.0 | 1.5–15.0 |
| Dermatomyositis | 2 | 0.7 | 0.1–5.2 |
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| Antiphospholipid syndrome | 4 | 1.3 | 0.3–5.8 |
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| Sjögren syndrome | 3 | 1.2 | 0.2–5.7 |
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| Systemic sclerosis (scleroderma) | 2 | 0.8 | 0.1–5.3 |
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| GPA | 1 | 0.3 | 0.0–4.8 |
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| Total | 97 | 45.1 | 33.9–59.0 |
FDNY = Fire Department of the City of New York; GPA = granulomatosis with polyangiitis (formerly, Wegener granulomatosus).
Per 100,000 person-years. Combined rates may not equal sum of component rates due to rounding.
To compare FDNY rates with REP rates in men, we generated age-specific expected numbers of cases for the FDNY cohort assuming that the REP rates applied to the FDNY cohort (Table 2). We compared rates by individual diagnoses and overall and also stratified by level of WTC exposure, higher vs lower. Standardized incidence ratios, which are the ratios of the observed number of cases in the FDNY cohort to the expected number of cases based on the REP rates, were calculated assuming that the expected rates are fixed and that the observed number of cases follows a Poisson distribution. An SIR of greater than 1 indicates that the observed number of cases is higher than expected, and an SIR of less than 1 indicates that the observed number of cases is lower than expected. All analyses were performed using SAS statistical software, version 9.4 (SAS Institute Inc).
TABLE 2.
Observed and Expected Cases of SAIDs in the FDNY Cohort Based on Rates From the Rochester Epidemiology Project
| Variable | Observed | Expected | SIR (95% CI) |
|---|---|---|---|
| Entire FDNY cohort | |||
| Rheumatoid arthritis | 40.0 | 44.06 | 0.91 (0.65–1.24) |
| Psoriatic arthritis | 21.0 | 24.64 | 0.85 (0.53–1.30) |
| Ankylosing spondylitis | 3.0 | 8.48 | 0.35 (0.07–1.03) |
| Systemic lupus erythematosus | 11.0 | 1.50 | 7.33 (3.66–13.12) |
| Sjögren syndrome | 3.0 | 1.58 | 1.90 (0.39–5.55) |
| Total | 78.0 | 80.26 | 0.97 (0.77–1.21) |
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| FDNY cohort by WTC exposure | |||
| Higher WTC exposure | |||
| Rheumatoid arthritis | 10.0 | 11.71 | 0.85 (0.41–1.57) |
| Psoriatic arthritis | 11.0 | 7.30 | 1.51 (0.75–2.70) |
| Ankylosing spondylitis | 2.0 | 2.51 | 0.80 (0.10–2.88) |
| Systemic lupus erythematosus | 5.0 | 0.38 | 13.16 (4.27–30.71) |
| Sjögren syndrome | 2.0 | 0.42 | 4.76 (0.58–17.20) |
| Total | 30.0 | 22.32 | 1.34 (0.91–1.92) |
| Lower WTC exposure | |||
| Rheumatoid arthritis | 30.0 | 32.35 | 0.93 (0.63–1.32) |
| Psoriatic arthritis | 10.0 | 17.34 | 0.58 (0.28–1.06) |
| Ankylosing spondylitis | 1.0 | 5.96 | 0.17 (0.0–0.93) |
| Systemic lupus erythematosus | 6.0 | 1.12 | 5.36 (1.97–11.66) |
| Sjögren syndrome | 1.0 | 1.16 | 0.86 (0.02–4.80) |
| Total | 48.0 | 57.93 | 0.83 (0.61–1.10) |
FDNY = Fire Department of the City of New York; SAID = systemic autoimmune disease; SIR = standardized incidence ratio; WTC = World Trade Center.
RESULTS
We identified 63 confirmed and 34 probable cases of post-9/11 SAIDs diagnosed between September 12, 2001, and September 11, 2014 (Table 3). The mean age of the patients at diagnosis was 49.5 years (range, 28.4–69.4 years).
TABLE 3.
Distribution of Systemic Autoimmune Diseases in the Fire Department of the City of New York Cohorta
| Systemic autoimmune disease | Confirmed (n=63) | Probable (n=34) | Total (N=97) |
|---|---|---|---|
| Rheumatoid arthritis | 23 (36.5) | 17 (50.0) | 40 (41.2) |
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| Spondyloarthritis | 14 (22.2) | 13 (38.2) | 27 (27.8) |
| Psoriatic arthritis | 11 (17.5) | 10 (29.4) | 21 (21.6) |
| Seronegative arthritis | 0 (0.0) | 3 (8.8) | 3 (3.1) |
| Ankylosing spondylitis | 3 (4.8) | 0 (0.0) | 3 (3.1) |
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| Systemic lupus erythematosus | 9 (14.3) | 2 (5.9) | 11 (11.3) |
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| Inflammatory myositis | 9 (14.3) | 0 (0.0) | 9 (9.3) |
| Polymyositis | 7 (11.1) | 0 (0.0) | 7 (7.2) |
| Dermatomyositis | 2 (3.2) | 0 (0.0) | 2 (2.1) |
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| Antiphospholipid syndrome | 2 (3.2) | 2 (5.9) | 4 (4.1) |
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| Sjögren syndrome | 3 (4.8) | 0 (0.0) | 3 (3.1) |
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| Systemic sclerosis (scleroderma) | 2 (3.2) | 0 (0.0) | 2 (2.1) |
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| Granulomatosis with polyangiitis (formerly, Wegener granulomatosis) | 1 (1.6) | 0 (0.0) | 1 (1.0) |
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| Eosinophilic granulomatosis with polyangiitis (Churg-Strauss syndrome) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
Data are presented as No. (percentage) of patients.
Ascertainment of exposure usually occurred well before diagnosis. The median time between ascertainment of arrival time at the WTC site from the monitoring questionnaire and diagnosis of SAID was 5.5 years; the median time between ascertainment of duration of exposure and diagnosis of SAID was 3.0 years because duration questions were a later addition to our monitoring program.
Table 4 presents selected characteristics of the study population by SAID status. Those with SAIDs were more likely to have had higher WTC exposure (36 of 3912 vs 61 of 9980; P=.05). Standardized SAID incidence rates for men in the FDNY cohort (Table 1) ranged from 19.0 per 100,000 person-years (95% CI, 12.1–28.9 per 100,000 person-years) for RA to 0.3 per 100,000 person-years (95% CI, 0.0–4.8 per 100,000 person-years) for granulomatosis with polyangiitis. Table 5 presents incidence rates of selected SAIDs from published studies. We included only studies that provided sex-specific rates for men and were published after 2000. The FDNY rates for RA are generally lower than published rates but appear to be higher for both SLE and inflammatory myositis. The underlying racial/ethnic composition of the population is sometimes not reported, which makes meaningful comparisons difficult.
TABLE 4.
| Variable | Total cohort (N=13,892) | Participants with SAIDs (n=97) | Participants without SAIDs (n=13,795) |
|---|---|---|---|
| Race | |||
| White | 12,294 | 94 (96.0) | 12,200 (88.4) |
| Hispanic | 853 | 3 (3.1) | 850 (6.2) |
| Black | 658 | 0 (0.0) | 658 (4.8) |
| Asian | 76 | 0 (0.0) | 76 (0.6) |
| Other | 11 | 0 (0.0) | 11 (0.1) |
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| Class | |||
| Fire department | 12,338 | 93 (95.9) | 12,245 (88.8) |
| EMS | 1548 | 4 (4.1) | 1544 (11.2) |
| Civilian | 6 | 0 (0.0) | 6 (0.04) |
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| Age (y) on 9/11/2001, median (range) | 39.7 (13.9–77.6) | 44.1 (24.6–63.9) | 39.6 (13.9–77.6) |
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| Smoking status | |||
| Never | 8200 | 50 (51.6) | 8150 (59.1) |
| Ever | 5692 | 47 (48.5) | 5645 (40.9) |
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| Chronic exposure | |||
| High (≥7 mo on site) | 2171 | 19 (19.6) | 2152 (15.6) |
| Low (≤6 mo on site) | 11,721 | 78 (80.4) | 11,643 (84.4) |
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| Acute exposure on 9/11/2001 | |||
| Morning arrival | 2156 | 22 (22.7) | 2134 (15.5) |
| Later arrival | 11,736 | 75 (77.3) | 11,661 (84.5) |
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| Composite higher WTC exposure (9/11/2001 AM arrival and/or duration ≥7 mo) | 3912 | 36 (37.1) | 3876 (28.1) |
| Lower WTC exposure | 9980 | 61 (62.9) | 9919 (71.9) |
EMS = emergency medical service worker; FDNY = Fire Department of the City of New York; SAID = systemic autoimmune disease; WTC = World Trade Center.
Data are presented as No. (percentage) of participants unless indicated otherwise.
TABLE 5.
Published Incidence Rates of Systemic Autoimmune Disease in Men From Selected Studiesa
| Reference, year | Diagnosis | Population | Study location | Time period | Incidence (95% CI)b | Agec | Case criteria |
|---|---|---|---|---|---|---|---|
| Myasoedov,23 2010 | Rheumatoid arthritis | Current and former residents | Olmsted County, MN | 1995–2007 | 27.7 (23.1–32.2) | Yes | 1987 American College of Rheumatology |
| Savolainen,24 2003 | Psoriatic arthritis | Residents of the region (20% were <16 y) | Kuopio, Finland | 2000 | 18.4 (6.8–40.1) | No | Peripheral arthritis with psoriasis, excluding RF-positive polyarthritis or spondylitis with psoriasis |
| Söderlin,25 2002 | Psoriatic arthritis | Patients referred from primary health care centers to the rheumatology department in Växjö Central Hospital | Kronberg County, Sweden | 1999–2001 | 5 (1–13) | No | Psoriasis in association with arthritis with negative test results for RF |
| Savolainen,24 2003 | Ankylosing spondylitis | Residents of the region (20% were <16 y) | Kuopio, Finland | 2000 | 12.3 (3.3–31.4) | No | Back pain for more than 3 mo and bilateral sacroiliitis grade 2 or more or syndesmophytes or squared vertebrae on radiographs |
| Wright,26 2014 | Ankylosing spondylitis | Current and former residents (≥18 y) | Olmsted County, MN | 1980–2009 | 4.9 (3.7–6.1) | Yes | 1984 Modified New York criteria |
| Jarukitsopa,27 2014 | Systemic lupus erythematosus | Current and former residents | Olmsted County, MN | 1993–2005 | 0.8 (0.0–1.6) | Yes | 1982 American College of Rheumatology |
| Feldman,28 2013 | Systemic lupus erythematosus | Medicaid | United States | 2000–2004 | 4.85 (4.23–5.55) | No | 3+ Visits 3+ d apart, ICD-9 code 710.0 |
| Rees,29 2014 | Systemic lupus erythematosus | Clinical Practice Research Datalink, a longitudinal database of UK general practice records since 1987 | United Kingdom | 1999–2012 | 1.44 (1.30–1.58) | Nod | 3 Definitions:
|
| Rosa,30 2013 | Myositis (polymyositis) | HMO | Buenos Aires, Argentina | 1979–2009 | 0.53 (0.13–2.13) | No | Bohan and Peter,31 1975 |
| Smoyer-Tomic,32 2012 | Myositis (polymyositis, dermatomyositis, and interstitial myositis) | Marketscan (private) Medicare and Medicaid claims | United States | 2004–2008 | Medicare: 3.07 (2.85–3.28) Medicaid: 3.67 (2.96–4.37) |
Yes | Outpatient and inpatient claims |
| Furst,33 2012 | Myositis (polymyositis, dermatomyositis, and sporadic inclusion body myositis) | National managed care plan | United States | 2003–2008 | 4.8 (4.4–5.3) | Yes | ICD-9-CM outpatient and inpatient (Bernatsky et al34) |
| Rosa,30 2013 | Myositis (polymyositis and dermatomyositis) | HMO | Buenos Aires, Argentina | 1979–2009 | 0.8 (0.26–2.48) | No | Bohan and Peter, 197531 |
| Rosa,30 2013 | Myositis (dermatomyositis) | HMO | Buenos Aires, Argentina | 1979–2009 | 0.27 (0.04–1.89) | No | Bohan and Peter, 197531 |
ANA = antinuclear antibody; ds-DNA = double-stranded DNA; ENA = extractable nuclear antigen; HMO = health maintenance organization; ICD-9 = International Classification of Diseases, Version 9; ICD-9-CM = ICD-9, Clinical Modification; RF = rheumatoid factor; SLE = systemic lupus erythematosus.
Per 100,000 person-years.
Standardized to the 2000 US population.
Standardized to the 2012 UK population.
Table 2 provides the observed number of incident SAIDs in the FDNY male cohort and the expected age- and sex-specific number of incident cases based on REP rates. The overall number of observed cases was similar to the number of expected cases (SIR, 0.97; 95% CI, 0.77–1.21); the impact of the healthy worker effect is clear in the lower exposure group, in which we identified 9.93 fewer cases than expected (an incidence rate 17.1% below expectation based on REP data; SIR, 0.83; 95% CI, 0.61–1.10). The effect of higher WTC exposure is also evident—we identified 7.7 excess cases (34.4% above expectation based on the REP data; SIR, 1.34; 95% CI, 0.91–1.92).
Because REP rates were not available for all diagnoses, we compared rates within the FDNY cohort by level of WTC exposure in the polymyositis/dermatomyositis group. In the higher WTC exposure group, rates were about double the rates in the lower exposure group: 8.3 (95% CI, 3.1–22.2) vs 4.1 (95% CI, 1.7–9.9), a rate ratio of 2.0. Other individual diagnoses have too few cases for this comparison.
DISCUSSION
We found an excess of SAID cases in the higher WTC exposure group of FDNY rescue/recovery workers. Projecting the deficit in cases observed in the lower exposure group, in which FDNY cases reached 83% of expectation, we would have anticipated 18.5 SAID cases among the higher exposure group, which is 11.5 cases fewer than were observed. This result of excess cases in the higher exposure group is supported by our recent case-control study35 which, using different methodology, found similar results. In that study, prolonged work exposure conferred a 13% increased risk for each month at the WTC site compared with risk in those who worked only 1 month, and early arrival at the WTC site during the morning of 9/11 conferred an additional independent risk (conditional odds ratio, 1.85; 95% CI, 0.86–3.89). In the current study, we required either early WTC arrival or long duration of work at the WTC site for inclusion in the higher WTC exposure category, in which individuals generally reached or exceeded expected SAID rates, whereas in the lower WTC exposure group, FDNY rates were mostly similar to or lower than expected rates. The REP reference rates were not available for all included diagnoses. Therefore, we investigated risk for some SAIDs using an internal comparison between FDNY rescue/recovery workers with higher and lower WTC exposure and found that rates were doubled in the higher exposure group.
For SLE, higher than expected rates were not limited to the higher exposure group; we observed excess cases in all WTC-exposed workers. In 2012, a National Institute of Environmental Health Sciences expert panel reported consensus findings, stating “confidence” in an association between SAIDs and crystalline silica.36 Crystalline silica has been well studied in occupational settings, and these previous studies have revealed associations with RA, SLE, and scleroderma.37,38 One explanation for the role of environmental factors like crystalline silica is that they induce the breakdown of tolerance in genetically susceptible individuals.39 Experimental data from animal models40 suggest that inhaled silica dust becomes trapped in the lungs and other tissues, and the resulting cycle of apoptosis, together with increased exposure to self-antigens and inflammation, leads to the development or acceleration of autoimmunity.41 Other silicates like asbestos may act similarly. This relationship may be partially obscured because some exposures are thought to lead to immune activation and/or antibodies but not necessarily to a specific SAID outcome.36 There may also be an extended latency period between exposure and disease that has not been well characterized. For example, in a military cohort, antinuclear antibodies at a 1:120 dilution were seen up to 9 years before diagnosis in a majority of patients.42
It is likely that WTC workers inhaled silica and numerous other elements because of the inadequate availability of effective respiratory protective equipment in the early post-9/11 days and inadequate use of respirators thereafter. Evidence of the effects of the intensive exposure were obvious because more than 70% of FDNY workers reported one or more acute aerodigestive symptoms in the first post-9/11 year, which, for some, became FDNY-diagnosed chronic conditions.43 Other evidence of lung injury comes from our longitudinal analyses of forced expiratory volume in 1 second,44 which revealed a large decrease in pulmonary function—the equivalent of 10 to 13 years of normal age-related decline—in the first year after 9/11; the magnitude of the decrease was related to initial time of arrival at the WTC site.
The causes of SAIDs are unknown and likely multifactorial. Genetic susceptibility may be the critical first factor, followed by an antigenic event such as an environmental exposure and triggering of immunologic-inflammatory-oxidative pathways leading to an autoimmune response resulting in disease.36 Although the evidence of post-9/11 pulmonary compromise is compelling, there is also direct evidence of intrusion by foreign matter into the respiratory system of WTC-exposed workers prompting an inflammatory response.
Ten months after the WTC collapse, induced sputum samples from 39 FDNY firefighters were compared with samples from firefighters in Tel Aviv, Israel. In FDNY firefighters, the percentage of particles larger than 2 μm was greater, and the particles were more irregularly shaped and contained more identified elements and were associated with an inflammatory response.45 Recently, a study evaluated particles found in the lung tissue of 7 WTC-exposed individuals (nonfire-fighters) in whom interstitial lung inflammation and disease developed.46 This report identified aluminum and magnesium silicates, chrysotile asbestos, calcium phosphate and calcium sulfate, small shards of glass, and carbon nanotubes of various sizes and lengths in the lung biopsy specimens from some of these workers. Finally, markers of systemic inflammation that predict accelerated lung function decline have been found in the serum of FDNY WTC-exposed workers.47–49 These studies documenting intrusion of foreign matter leading to an inflammatory response lend biological plausibility to an association between WTC exposure and SAIDs.
Because we were unable to identify studies of SAID incidence in occupational cohorts, we summarized studies published since 2000 that provide population-based incidence rates for men to provide context for FDNY rates. However, these rates are not directly comparable for numerous reasons, especially because the healthy worker effect is striking in occupational cohorts like FDNY employees who have met stringent, prehire physical requirements. Most studies estimate that the healthy worker effect reduces the association between exposure and outcome by about 20%, depending on the outcome.50 Second, most of the rates from published articles are neither age adjusted to a standard population nor adjusted for race/ethnicity. Therefore, reported rates reflect differences in the underlying population, which is important because SAID diagnoses are known to peak in specific age and racial/ethnic groups. Third, although none of the studies in Table 5 relied on self-reported diagnoses, the criteria for becoming a case varied considerably. Fourth, the time period during which cases were accrued and the technological tools available for diagnosis varied over time, which is why we only included recent studies. Finally, because most SAIDs are relatively rare, published rates, including our own, should be validated.
Our study has several strengths. First, our REP coinvestigators provided age- and sex-specific rates from a similar time period for the generation of expected FDNY rates, providing excellent population-based comparison rates for WTC-exposed males. Second, our cohort existed before 9/11, eliminating recruitment bias. Third, all persons in the cohort had the opportunity to report SAID diagnoses on their monitoring questionnaires or to their FDNY physicians. Reports were screened, reviewed, and validated by our rheumatology case consultative review panel. Fourth, it is unlikely that members of our cohort had unrecognized pre-9/11 SAID because the physical demands of firefighting and EMS work would have made concealment difficult. Finally, information about WTC exposures was collected from questionnaires completed by all cohort members regardless of symptoms and, in most cases, were obtained years before the date of diagnosis, arguing against recall bias.
Study limitations include our lack of direct access to physician records outside the FDNY, which may have led to an underestimation of SAID incidence. For this reason, potential cases were reviewed by our team of rheumatologists. Second, we lacked an FDNY non—WTC-exposed comparison group, potentially minimizing the effect of higher WTC exposure on SAID outcomes. Third, our results may not be generalizable to other occupational cohorts because our population was relatively small (~13,000), exclusively male, and mostly white and had above-average physical health before WTC exposure. Lastly, we lack information about family history of SAIDs and about non—WTC-related exposures, both work-related and recreational.
CONCLUSION
We found excess incident SAIDS in rescue/ recovery workers with higher WTC exposure. Because overall rates were within normal limits, higher incidence in specific subgroups might have been missed. Continued surveillance of WTC-exposed workers, particularly persons most highly exposed, is necessary to minimize the known effects of SAIDs and to understand the full spectrum of health consequences resulting from WTC exposure.
Acknowledgments
The content of this article is solely the responsibility of the authors and does not necessarily reflect the official views of the National Institute for Occupational Safety and Health or the National Institutes of Health.
Grant Support: This work was supported by Cooperative Agreement U01 OH010513 from the National Institute for Occupational Safety and Health, grant R01 AG034676 from the National Institute on Aging, and the Rochester Epidemiology Project (grant number R01-AG034676; Principal Investigators: Walter A. Rocca, MD, MPH, and Barbara P. Yawn, MD, MSc).
Abbreviations and Acronyms
- EMS
emergency medical service
- FDNY
Fire Department of the City of New York
- RA
rheumatoid arthritis
- REP
Rochester Epidemiology Project
- SAID
systemic autoimmune disease
- SIR
standardized incidence ratio
- SLE
systemic lupus erythematosus
- WTC
World Trade Center
- 9/11
September 11, 2001
References
- 1.Jones KA, Granado NS, Smith B, et al. A prospective study of lupus and rheumatoid arthritis in relation to deployment in support of Iraq and Afghanistan: the Millennium Cohort Study. Autoimmune Dis. 2011;2011:741267. doi: 10.4061/2011/741267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Noonan CW, Pfau JC, Larson TC, Spence MR. Nested case-control study of autoimmune disease in an asbestos-exposed population. Environ Health Perspect. 2006;114(8):1243–1247. doi: 10.1289/ehp.9203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Steenland K, Sanderson W, Calvert GM. Kidney disease and arthritis in a cohort study of workers exposed to silica. Epidemiology. 2001;12(4):405–412. doi: 10.1097/00001648-200107000-00010. [DOI] [PubMed] [Google Scholar]
- 4.Landrigan PJ, Lioy PJ, Thurston G, et al. NIEHS World Trade Center Working Group. Health and environmental consequences of the World Trade Center disaster. Environ Health Perspect. 2004;112(6):731–739. doi: 10.1289/ehp.6702. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Contaminants of Potential Concern (COPC) Committee of the World Trade Center Indoor Air Task Force Working Group. World Trade Center Indoor Environment Assessment: Selecting Contaminants of Potential Concern and Setting Health-Based Benchmarks. New York, NY: US Environmental Protection Agency; 2003. [Google Scholar]
- 6.Izbicki G, Chavko R, Banauch GI, et al. World Trade Center “sarcoid-like” granulomatous pulmonary disease in New York City Fire Department rescue workers. Chest. 2007;131(5):1414–1423. doi: 10.1378/chest.06-2114. [DOI] [PubMed] [Google Scholar]
- 7.Jordan HT, Stellman SD, Prezant D, Teirstein A, Osahan SS, Cone JE. Sarcoidosis diagnosed after September 11, 2001, among adults exposed to the World Trade Center disaster. J Occup Environ Med. 2011;53(9):966–974. doi: 10.1097/JOM.0b013e31822a3596. [DOI] [PubMed] [Google Scholar]
- 8.Crowley LE, Herbert R, Moline JM, et al. “Sarcoid like” granulomatous pulmonary disease in World Trade Center disaster responders. Am J Ind Med. 2011;54(3):175–184. doi: 10.1002/ajim.20924. [DOI] [PubMed] [Google Scholar]
- 9.Aletaha D, Neogi T, Silman AJ, et al. 2010 Rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2010;62(9):2569–2581. doi: 10.1002/art.27584. [DOI] [PubMed] [Google Scholar]
- 10.Hochberg MC. Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus [letter] Arthritis Rheum. 1997;40(9):1725. doi: 10.1002/art.1780400928. [DOI] [PubMed] [Google Scholar]
- 11.Tanimoto K, Nakano K, Kano S, et al. Classification criteria for polymyositis and dermatomyositis [published correction appears in J Rheumatol. 1995;22(9):1807] J Rheumatol. 1995;22(4):668–674. [PubMed] [Google Scholar]
- 12.van der Linden S, Valkenburg HA, Cats A. Evaluation of diagnostic criteria for ankylosing spondylitis: a proposal for modification of the New York criteria. Arthritis Rheum. 1984;27(4):361–368. doi: 10.1002/art.1780270401. [DOI] [PubMed] [Google Scholar]
- 13.Taylor W, Gladman D, Helliwell P, Marchesoni A, Mease P, Mielants H CASPAR Study Group. Classification criteria for psoriatic arthritis: development of new criteria from a large international study. Arthritis Rheum. 2006;54(8):2665–2673. doi: 10.1002/art.21972. [DOI] [PubMed] [Google Scholar]
- 14.Shiboski SC, Shiboski CH, Criswell L, et al. Sjögren’s International Collaborative Clinical Alliance (SICCA) Research Groups. American College of Rheumatology classification criteria for Sjögren’s syndrome: a data-driven, expert consensus approach in the Sjögren’s International Collaborative Clinical Alliance cohort. Arthritis Care Res (Hoboken) 2012;64(4):475–487. doi: 10.1002/acr.21591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.van den Hoogen F, Khanna D, Fransen J, et al. 2013 Classification criteria for systemic sclerosis: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2013;65(11):2737–2747. doi: 10.1002/art.38098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Prezant DJ, Weiden M, Banauch GI, et al. Cough and bronchial responsiveness in firefighters at the World Trade Center site. N Engl J Med. 2002;347(11):806–815. doi: 10.1056/NEJMoa021300. [DOI] [PubMed] [Google Scholar]
- 17.Webber MP, Gustave J, Lee R, et al. Trends in respiratory symptoms of firefighters exposed to the World Trade Center disaster: 2001–2005. Environ Health Perspect. 2009;117(6):975–980. doi: 10.1289/ehp.0800291. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.US Census Bureau. Annual estimates of the resident population by sex, race, and Hispanic origin for the United States, states, and counties: April 1, 2010 to July 1, 2014. [Accessed July 30, 2015];US Census Bureau website. http://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk. Published June 2015.
- 19.Rocca WA, Yawn BP, St Sauver JL, Grossardt BR, Melton LJ., III History of the Rochester Epidemiology Project: half a century of medical records linkage in a US population. Mayo Clin Proc. 2012;87(12):1202–1213. doi: 10.1016/j.mayocp.2012.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.St Sauver JL, Grossardt BR, Yawn BP, et al. Data resource profile: the Rochester Epidemiology Project (REP) medical records-linkage system. Int J Epidemiol. 2012;41(6):1614–1624. doi: 10.1093/ije/dys195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Schoenberg BS. Calculating confidence intervals for rates and ratios. Neuroepidemiology. 1983;2(3–4):257–265. [Google Scholar]
- 22.Tiwari RC, Clegg LX, Zou Z. Efficient interval estimation for age-adjusted cancer rates. Stat Methods Med Res. 2006;15(6):547–569. doi: 10.1177/0962280206070621. [DOI] [PubMed] [Google Scholar]
- 23.Myasoedova E, Crowson CS, Kremers HM, Therneau TM, Gabriel SE. Is the incidence of rheumatoid arthritis rising?: results from Olmsted County, Minnesota, 1955–2007. Arthritis and Rheumatism. 2010;62(6):1576–1582. doi: 10.1002/art.27425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Savolainen E, Kaipiainen-Seppanen O, Kroger L, Luosujarvi R. Total incidence and distribution of inflammatory joint diseases in a defined population: results from the Kuopio 2000 arthritis survey. J Rheumatol. 2003;30(11):2460–2468. [PubMed] [Google Scholar]
- 25.Soderlin MK, Borjesson O, Kautiainen H, Skogh T, Leirisalo-Repo M. Annual incidence of inflammatory joint diseases in a population based study in southern Sweden. Ann Rheum Dis. 2002;61(10):911–915. doi: 10.1136/ard.61.10.911. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Wright KA, Crowson CS, Michet CJ, Matteson EL. Time trends in incidence, clinical features and cardiovascular disease in Ankylosing Spondylitis over 3 decades: A population based study. Arthritis Care & Research. 2014 doi: 10.1002/acr.22512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Jarukitsopa S, Hoganson DD, Crowson CS, et al. Epidemiology of systemic lupus erythematosus and cutaneous lupus in a predominantly white population in the United States. Arthritis Care & Research. 2014 doi: 10.1002/acr.22502. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Feldman CH, Hiraki LT, Liu J, et al. Epidemiology and socio-demographics of systemic lupus erythematosus and lupus nephritis among US adults with Medicaid coverage, 2000–2004. Arthritis & Rheumatism. 2013;65(3):753–763. doi: 10.1002/art.37795. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Rees F, Doherty M, Grainge M, Davenport G, Lanyon P, Zhang W. The incidence and prevalence of systemic lupus erythematosus in the UK. 1999–2012. Ann Rheum Dis. 2014 doi: 10.1136/annrheumdis-2014-206334. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Rosa J, Garrot LF, Navarta DA, et al. Incidence and prevalence of polymyositis and dermatomyositis in a health management organization in Buenos Aires. Journal of Clinical Rheumatology: Practical Reports on Rheumatic & Musculoskeletal Diseases. 2013;19(6):303–307. doi: 10.1097/RHU.0b013e3182a21ba8. [DOI] [PubMed] [Google Scholar]
- 31.Bohan A, Peter JB. Polymyositis and dermatomyositis. New Engl J Med. 1975;292(8):403–407. doi: 10.1056/NEJM197502202920807. [DOI] [PubMed] [Google Scholar]
- 32.Smoyer-Tomic KE, Amato AA, Fernandes AW. Incidence and prevalence of idiopathic inflammatory myopathies among commercially insured, Medicare supplemental insured, and Medicaid enrolled populations: an administrative claims analysis. BMC musculoskeletal disorders. 2012;13:103. doi: 10.1186/1471-2474-13-103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Furst DE, Amato AA, Iorga SR, Gajria K, Fernandes AW. Epidemiology of adult idiopathic inflammatory myopathies in a U.S. managed care plan. Muscle & Nerve. 2012;45(5):676–683. doi: 10.1002/mus.23302. [DOI] [PubMed] [Google Scholar]
- 34.Bernatsky S, Joseph L, Pineau CA, et al. Estimating the prevalence of polymyositis and dermatomyositis from administrative data: age, sex and regional differences. Ann Rheum Dis. 2009;68(7):1192–1196. doi: 10.1136/ard.2008.093161. [DOI] [PubMed] [Google Scholar]
- 35.Webber MP, Moir W, Zeig-Owens R, et al. Nested case-control study of selected systemic autoimmune diseases in World Trade Center rescue/recovery workers. Arthritis Rheumatol. 2015;67(5):1369–1376. doi: 10.1002/art.39059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Miller FW, Alfredsson L, Costenbader KH, et al. Epidemiology of environmental exposures and human autoimmune diseases: findings from a National Institute of Environmental Health Sciences Expert Panel Workshop. J Autoimmun. 2012;39(4):259–271. doi: 10.1016/j.jaut.2012.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Diot E, Lesire V, Guilmot JL, et al. Systemic sclerosis and occupational risk factors: a case-control study. Occup Environ Med. 2002;59(8):545–549. doi: 10.1136/oem.59.8.545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Parks CG, Cooper GS, Nylander-French LA, et al. Occupational exposure to crystalline silica and risk of systemic lupus erythematosus: a population-based, case-control study in the southeastern United States. Arthritis Rheum. 2002;46(7):1840–1850. doi: 10.1002/art.10368. [DOI] [PubMed] [Google Scholar]
- 39.Selmi C, Leung PS, Sherr DH, et al. Mechanisms of environmental influence on human autoimmunity: a National Institute of Environmental Health Sciences expert panel workshop. J Autoimmun. 2012;39(4):272–284. doi: 10.1016/j.jaut.2012.05.007. [DOI] [PubMed] [Google Scholar]
- 40.Cooper GS, Gilbert KM, Greidinger EL, et al. Recent advances and opportunities in research on lupus: environmental influences and mechanisms of disease. Environ Health Perspect. 2008;116(6):695–702. doi: 10.1289/ehp.11092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Parks CG, De Roos AJ. Pesticides, chemical and industrial exposures in relation to systemic lupus erythematosus. Lupus. 2014;23(6):527–536. doi: 10.1177/0961203313511680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Arbuckle MR, McClain MT, Rubertone MV, et al. Development of autoantibodies before the clinical onset of systemic lupus erythematosus. N Engl J Med. 2003;349(16):1526–1533. doi: 10.1056/NEJMoa021933. [DOI] [PubMed] [Google Scholar]
- 43.Webber MP, Glaser MS, Weakley J, et al. Physician-diagnosed respiratory conditions and mental health symptoms 7–9 years following the World Trade Center disaster. Am J Ind Med. 2011;54(9):661–671. doi: 10.1002/ajim.20993. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Aldrich TK, Gustave J, Hall CB, et al. Lung function in rescue workers at the World Trade Center after 7 years. N Engl J Med. 2010;362(14):1263–1272. doi: 10.1056/NEJMoa0910087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Fireman EM, Lerman Y, Ganor E, et al. Induced sputum assessment in New York City firefighters exposed to World Trade Center dust. Environ Health Perspect. 2004;112(15):1564–1569. doi: 10.1289/ehp.7233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Wu M, Gordon RE, Herbert R, et al. Case report: lung disease in World Trade Center responders exposed to dust and smoke: carbon nanotubes found in the lungs of World Trade Center patients and dust samples. Environ Health Perspect. 2010;118(4):499–504. doi: 10.1289/ehp.0901159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Cho SJ, Echevarria GC, Kwon S, et al. One airway: biomarkers of protection from upper and lower airway injury after World Trade Center exposure. Respir Med. 2014;108(1):162–170. doi: 10.1016/j.rmed.2013.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Nolan A, Naveed B, Comfort AL, et al. Inflammatory bio-markers predict airflow obstruction after exposure to World Trade Center dust. Chest. 2012;142(2):412–418. doi: 10.1378/chest.11-1202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Weiden MD, Naveed B, Kwon S, et al. Comparison of WTC dust size on macrophage inflammatory cytokine release in vivo and in vitro. PLoS One. 2012;7(7):e40016. doi: 10.1371/journal.pone.0040016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Shah D. Healthy worker effect phenomenon. Indian J Occup Environ Med. 2009;13(2):77–79. doi: 10.4103/0019-5278.55123. [DOI] [PMC free article] [PubMed] [Google Scholar]
