Occupational and environmental risk factors for idiopathic pulmonary fibrosis in Australia: case–control study

Thorax ◽  
2020 ◽  
Vol 75 (10) ◽  
pp. 864-869 ◽  
Author(s):  
Michael J Abramson ◽  
Tsitsi Murambadoro ◽  
Sheikh M Alif ◽  
Geza P Benke ◽  
Shyamali C Dharmage ◽  
...  

IntroductionIdiopathic pulmonary fibrosis (IPF) is a lung disease of unknown cause characterised by progressive scarring, with limited effective treatment and a median survival of only 2–3 years. Our aim was to identify potential occupational and environmental exposures associated with IPF in Australia.MethodsCases were recruited by the Australian IPF registry. Population-based controls were recruited by random digit dialling, frequency matched on age, sex and state. Participants completed a questionnaire on demographics, smoking, family history, environmental and occupational exposures. Occupational exposure assessment was undertaken with the Finnish Job Exposure Matrix and Australian asbestos JEM. Multivariable logistic regression was used to describe associations with IPF as ORs and 95% CIs, adjusted for age, sex, state and smoking.ResultsWe recruited 503 cases (mean±SD age 71±9 years, 69% male) and 902 controls (71±8 years, 69% male). Ever smoking tobacco was associated with increased risk of IPF: OR 2.20 (95% CI 1.74 to 2.79), but ever using marijuana with reduced risk after adjusting for tobacco: 0.51 (0.33 to 0.78). A family history of pulmonary fibrosis was associated with 12.6-fold (6.52 to 24.2) increased risk of IPF. Occupational exposures to secondhand smoke (OR 2.1; 1.2 to 3.7), respirable dust (OR 1.38; 1.04 to 1.82) and asbestos (OR 1.57; 1.15 to 2.15) were independently associated with increased risk of IPF. However occupational exposures to other specific organic, mineral or metal dusts were not associated with IPF.ConclusionThe burden of IPF could be reduced by intensified tobacco control, occupational dust control measures and elimination of asbestos at work.

Thorax ◽  
2016 ◽  
Vol 71 (Suppl 3) ◽  
pp. A13.1-A13
Author(s):  
V Navaratnam ◽  
AW Fogarty ◽  
T McKeever ◽  
N Thompson ◽  
G Jenkins ◽  
...  

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1541-1541
Author(s):  
Angela R. Smith ◽  
Erica D. Warlick ◽  
Rachel K. Fonstad ◽  
Michelle A. Roesler ◽  
Jenny N. Poynter ◽  
...  

Abstract Background MDS is a clonal hematopoietic stem cell disorder characterized by dysplastic changes in the bone marrow, ineffective hematopoiesis and an increased risk for developing acute myeloid leukemia (AML). The majority of MDS cases are sporadic, but rare familial cases have been described and are often ascertained through clinic-based referrals. To our knowledge, no population based study of MDS has examined the frequency of family history of hematologic malignancies and disorders in patients, nor associations with disease characteristics and outcomes. Methods Newly diagnosed MDS cases are being identified by rapid case ascertainment by the Minnesota Cancer Surveillance System (MCSS), a population-based cancer registry in Minnesota. Eligibility criteria include all newly diagnosed cases of MDS during the period April 1, 2010-October 31, 2014, between 20-85 years, Minnesota resident, and ability to understand English or Spanish. Proxy interviews are not being conducted. Medical records and biologic samples are obtained and questionnaires are filled out by participants. Centralized pathology and cytogenetics review confirm diagnosis and classify by subtype and risk score including the Revised International Prognostic Scoring System (IPSS-R). Since 2010, information on family history has been obtained through questionnaire responses and/or medical record review on 353 MDS patients. Cases were considered to have a positive family history if they reported a first degree relative with MDS, leukemia, lymphoma or other hematologic condition (multiple myeloma [n=4], Waldenstrom’s macroglobulinemia [n=1] and idiopathic thrombocytopenic purpura [n=1]). Treatment related MDS cases were excluded leaving 330 MDS patients for analysis. Unconditional logistic regression was used to calculate crude odds ratios (ORs) and 95% confidence intervals (CI) overall and by sex. Results A total of 61/330 (18.5%) cases reported a family history of a hematologic condition. The mean age at diagnosis was 71.3 years in those with a family history compared to 72.2 years in those without a family history (p=0.53). There was no difference in the sex distribution between the two groups. Though not statistically significant, the odds of having abnormal cytogenetics or an IPSS-R of High/Very High was lower for those having a positive family history (OR 0.57 [CI 0.25-1.33, p=0.19 and 0.67 [CI 0.24-1.84, p=0.29], respectively). The odds of survival at one year after diagnosis was significantly higher in those with a family history (OR 2.79 [CI 1.04-7.51, p=0.04]) compared to those without (Table). Further stratification by sex revealed that this association was strongest for males (OR=4.23, [CI 0.94-19.0, p=0.06] compared to females (OR=1.84 [CI=0.47-7.19, p=0.38]). Discussion In this population based study of adults with MDS, the prevalence of MDS cases having a positive family history was higher than previous reports. Additionally, cases reporting a family history of hematologic malignancies and disorders appear to experience lower risk disease and have significantly improved overall survival, especially males. It is possible that patients with a family history of hematologic conditions are diagnosed earlier in the course of their disease secondary to increased awareness about blood disorders and/or more active screening within the family. Our analysis is limited by relatively small numbers, but enrollment is ongoing so subsequent analyses with larger numbers of subjects may be more revealing. Additionally, a prospective study to examine these families further, including detailed medical histories and collection of biospecimens (saliva, blood, skin) for genetic analyses is underway in order to identify potential mechanisms and mutations involved in the development of MDS and progression to AML. Disclosures: No relevant conflicts of interest to declare.


2000 ◽  
Vol 152 (4) ◽  
pp. 307-315 ◽  
Author(s):  
Kathy B. Baumgartner ◽  
Jonathan M. Samet ◽  
David B. Coultas ◽  
Christine A. Stidley ◽  
William C. Hunt ◽  
...  

Abstract Occupational exposures were investigated in a multicenter case-control study of clinically and histologically diagnosed idiopathic pulmonary fibrosis (IPF), a chronic diffuse interstitial lung disease of unknown etiology. Results are based on 248 cases, aged 20–75 years, diagnosed at 16 referral centers between January 1989 and July 1993. There were 491 controls ascertained by random digit dialing and matched to cases on sex, age, and geographic region. Data were collected using a standard telephone questionnaire. Occupational factors were based on a detailed history of jobs lasting 6 months or more and job activity, hobby, and specific substance checklists. Several occupational factors, adjusted for age and smoking in conditional multivariate logistic regression analyses, were significantly associated with IPF: farming (odds ratio (OR) = 1.6, 95% confidence interval (CI): 1.0, 2.5); livestock (OR = 2.7, 95% CI: 1.3, 5.5); hairdressing (OR = 4.4, 95% CI: 1.2, 16.3); metal dust (OR = 2.0, 95% CI: 1.0, 4.0); raising birds (OR = 4.7, 95% CI: 1.6, 14.1); stone cutting/polishing (OR = 3.9, 95% CI: 1.2, 12.7); and vegetable dust/animal dust (OR = 4.7, 95% CI: 2.1, 10.4). Interaction was detected between smoking and exposure to livestock (p = 0.06) and farming (p = 0.08). Results confirm previous studies showing increased risk associated with dusty environments. Am J Epidemiol 2000;152:307–15.


Blood ◽  
2011 ◽  
Vol 118 (24) ◽  
pp. 6284-6291 ◽  
Author(s):  
Ebba K. Lindqvist ◽  
Lynn R. Goldin ◽  
Ola Landgren ◽  
Cecilie Blimark ◽  
Ulf-Henrik Mellqvist ◽  
...  

Abstract The associations between immune-related conditions and multiple myeloma (MM) and monoclonal gammopathy of undetermined significance (MGUS) have previously been investigated with inconsistent results. In a large population-based study, we identified 19 112 patients with MM, 5403 patients with MGUS, 96 617 matched control subjects, and 262 931 first-degree relatives. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) for the association of MM and MGUS with immune-related conditions by use of logistic regression. A personal history of all infections combined was associated with a significantly increased risk of MM (OR = 1.2; 95% CI, 1.1-1.3), and a personal history of all conditions in the categories infections (OR = 1.6; 95% CI, 1.5-1.7), inflammatory conditions (OR = 1.4; 95% CI, 1.2-1.5), and autoimmune diseases (OR = 2.1; 95% CI, 1.9-2.4) was associated with a significantly increased risk of MGUS. Several specific immune-related conditions elevated the risk of MM and/or MGUS. A family history of autoimmune disease was associated with a significantly increased risk of MGUS (OR = 1.1; 95% CI, 1.00-1.2), but not MM. Our findings suggest that immune-related conditions and/or their treatment are of importance in the etiology of MGUS and possibly MM. The association of both personal and family history of autoimmune disease with MGUS indicates the potential for shared susceptibility for these conditions.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4252-4252 ◽  
Author(s):  
Ebba K Lindqvist ◽  
Sigrún H. Lund ◽  
Rene Costello ◽  
Debra Burton ◽  
Neha S Korde ◽  
...  

Abstract Background Monoclonal gammopathy of undetermined significance (MGUS) is a precursor condition to multiple myeloma (MM) and other lymphoproliferative disorders. Patients with MM have an increased risk of venous and arterial thrombosis. Results from previous studies have also shown an increased risk of thrombosis in MGUS. However, these studies have been performed on clinically established cohorts, and no previous study has examined the risk of thrombosis in light chain MGUS (LC-MGUS). Methods We performed a population-based study on the longitudinal cohort of the AGES-Reykjavik Study, consisting of 5,764 elderly Icelandic men and women. Through screening all participants with free light chain analysis and serum protein electrophoresis, MGUS and LC-MGUS were identified in 299 and 52 individuals, respectively. The outcome was first incidence/occurrence of venous or arterial thrombosis, as diagnosis or as cause of death. Information on outcomes was supplemented by health care records, available from nine years prior to study baseline and for a median follow-up time of 8.8 years. Through logistic regression, odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to evaluate history of arterial and venous thrombosis, respectively, at study baseline. A Cox proportional hazards model was used to estimate hazard ratios (HRs) and 95% CIs for the risk of first incidence of thrombosis during follow-up. Results A history of any thrombosis during the nine years prior to diagnosis was present in 30 (10.0%) of individuals with MGUS, 13 (25.0%) of individuals with LC-MGUS, and 643 (12.0%) of individuals without MGUS. In a model adjusting for age, sex, smoking, serum cholesterol levels, diabetes, hypertension, and family history of thrombosis, the odds of having had a thrombosis was not significantly different for neither MGUS (OR = 0.75, 95% CI 0.50-1.12) nor LC-MGUS (OR = 1.81, 0.92-3.58), compared to those without MGUS. During a median follow-up time of 8.8 years, 80 (26.8%) of individuals with MGUS, 14 (26.9%) of individuals with LC-MGUS, and 1,344 (25.0%) of individuals without MGUS were diagnosed with thrombosis. Individuals with MGUS and with LC-MGUS had no increased risk of arterial thrombosis, when adjusted for age, sex, cholesterol, diabetes, hypertension, smoking, and family history of thrombosis (HR 1.04, 0.82-1.32). Similarly, no increased risk was found in MGUS or LC-MGUS for venous thrombosis, in a model adjusted for age, sex, body mass index, and previous or current cancer (HR 0.89, 0.41-1.89). Excluding individuals with a diagnosis of thrombosis occurring before baseline, or adjusting for a personal history of thrombosis, did not affect the results. Summary and conclusions In this large, population-based, screening cohort study, we found no increased risk of arterial or venous thrombosis in MGUS. A history of thrombosis was more common in individuals with LC-MGUS, which might be an effect of higher age in LC-MGUS individuals. To our knowledge, this is the first study to investigate risk of thrombosis in LC-MGUS. The results from our screened study contradict previous findings from clinically established cohorts. Future work is needed to better understand observed differences between studies and across populations. For example, potential underlying factors may include aggregation of underlying comorbidities in clinically diagnosed MGUS patients, and biological variations (shared germline genetic susceptibility) by ethnic groups. Table. Risk of thrombosis in individuals with MGUS and LC-MGUS, compared to individuals without MGUS. MGUS LC-MGUS No MGUS No. HR (95% CI) No. HR (95% CI) No. HR (95% CI) Any thrombosis* 80 (26.76%) 1.01 (0.80-1.26) 14 (26.92%) 1.13 (0.80-1.26) 1,344 (25.02%) 1.00 (Reference) Arterial thrombosis† 76 (25.42%) 1.04 (0.82-1.32) 14 (26.92%) 1.16 (0.67-2.01) 1,240 (23.08%) 1.00 (Reference) Venous thrombosis†† 7 (2.34%) 0.89 (0.41-1.89) 0 (0.0%) - 151 (2.81%) 1.00 (Reference) *Results adjusted for age and sex. † Results adjusted for age, sex, smoking, hypertension, cholesterol, diabetes, and family history of arterial thrombosis. †† Results adjusted for age, sex, body mass index, and previous or current cancer. MGUS: monoclonal gammopathy of undetermined significance, LC-MGUS: light-chain monoclonal gammopathy of undetermined significance. HR: hazard ratio, CI: confidence interval. Disclosures Landgren: Celgene: Consultancy; BMJ Publishing: Consultancy; Onyx: Research Funding; International Myeloma Foundation: Research Funding; Bristol-Myers Squibb: Consultancy; Onyx: Honoraria; Celgene: Honoraria; Bristol-Myers Squibb: Honoraria; Medscape: Honoraria; BMJ Publishing: Honoraria; Onyx: Consultancy; Medscape: Consultancy.


Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3987-3987
Author(s):  
Sigurdur Y Kristinsson ◽  
Lynn Goldin ◽  
Ingemar Turesson ◽  
Magnus Bjorkholm ◽  
Ola Landgren

Abstract Abstract 3987 Background: Patients with multiple myeloma are at an increased risk of venous thromboembolism (VTE), especially when treated with thalidomide and lenalidomide. The etiology of this is largely unknown, but probably involves both genetic and environmental factors. Family history of VTE is a known risk factor for VTE in the general population, including known inherited thrombophilic abnormalities. The influence of a family history of VTE as a potential risk factor for VTE in multiple myeloma patients is unknown. To expand our knowledge on this topic, we conducted a large population-based study based on all multiple myeloma patients diagnosed in Sweden 1958–2004. Patients and Methods: We assessed the impact of family history of VTE as a risk factor for VTE among 21,067 multiple myeloma patients and 83,094 matched controls. Data on multiple myeloma patients was gathered from the Swedish Cancer Registry, information on first-degree relatives from the national Multigenerational Registry, and occurrence of VTE from the nationwide Patient Registry. We calculated odds ratios (OR) and 95% confidence intervals (CI) using chi-square. Results: Of the 21,067 multiple myeloma patients included in the study (54% males, median age at diagnosis 71 years), 66% had an identifiable first-degree relative. VTE was diagnosed in 1,429 multiple myeloma patients, and 921 had a family history of VTE. Compared to multiple myeloma patients without a family history of VTE, multiple myeloma patients with a family history of VTE had a 2.2-fold (95% CI 1.8–2.7; p<0.001) higher risk of VTE. Among 4,986 controls that were diagnosed with VTE, 316 had a family history of VTE. Controls with a family history of VTE had a 1.5-fold (95% CI 1.3–1.7; p<0.001) increased risk of VTE compared to controls without a family history of VTE. The difference of the impact of family history of VTE on the risk of VTE in multiple myeloma patients versus controls was significant. Summary and Conclusions: In this large population-based study including more than 20,000 multiple myeloma patients, we found family history of VTE to have a larger impact on VTE risk in multiple myeloma than in matched controls. Our findings confirm that genetic factors contribute to thrombophilia in multiple myeloma and may have therapeutic implications regarding thromboprophylaxis and treatment. Disclosures: No relevant conflicts of interest to declare.


2017 ◽  
Author(s):  
Frederick S. Albright ◽  
Wendy Kohlmann ◽  
Leigh Neumayer ◽  
Saundra S. Buys ◽  
Cindy B. Matsen ◽  
...  

AbstractPurposeUsing a large resource linking genealogy with decades of cancer data, RRs were estimated for breast cancer (BC) based on specific family history extending to first cousins.MethodsRRs for BC were estimated in 640,366 females with breast cancer family histories that included number of first-(FDR), second-(SDR), and third-degree relatives (TDR), maternal and paternal relatives, and age at earliest diagnosis.ResultsRRs for first-degree relatives of BC cases ranged from 1.61 (=1 FDR affected, CI: 1.56, 1.67) to 5.00 (≥4 FDRs affected, CI: 3.35, 7.18). RRs for second degree relatives of probands with 0 affected FDRs ranged from 1.08 (≥1 SDR affected, CI: 1.04, 1.12) to 1.71 (≥4 SDRs affected, CI: 1.26, 2.27) and for second degree relatives of probands with exactly 1 FDR from 1.54 (0 SDRs affected, CI:1.47, 1.61) to 4.78 (≥ 5 SDRs; CI 2.47, 8.35). RRs for third-degree relatives with no closer relatives affected were significantly elevated for probands with >=5 affected TDRs RR=1.32, CI: 1.11, 1.57).ConclusionsThe majority of females analyzed had a family history of BC. Any number of affected FDRs or SDRs significantly increased risk for BC, and more than 4 TDRs, even with no affected FDRs or SDRs significantly increased risk. Risk prediction derived from specific and extended family history allows identification of females at highest risk even when they do not have a conventionally defined “high risk” family; these risks could be a powerful, efficient tool to individualize cancer prevention and screening.


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