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Relationship between glutathione S-transferase M1 deficiency and urothelial cancer in dye workers exposed to aromatic amines.

PURPOSE: It is speculated that the susceptibility to urothelial cancer in dye workers who are exposed to aromatic amines is affected not only by occupational environmental factors but by host specific factors. We evaluated the interaction between glutathione S-transferase M1 gene deficiency and the occupational environmental factors associated with urothelial cancer. MATERIALS AND METHODS: The study included 137 workers who had prior exposure to dyestuff intermediates, of whom 36 had urothelial cancer. The prevalence of a glutathione S-transferase M1 gene polymorphism was investigated using polymerase chain reaction. The relationship between the glutathione S-transferase M1 0/0 gene and occupational environmental factors in the onset of urothelial cancer was examined by multivariate analysis. RESULTS: The prevalence of glutathione S-transferase M1 gene deficiency did not differ significantly between the urothelial cancer (21 cases, 58.3%) group and the cancer-free (47, 46.3%) group. It was estimated that 29.6% of the urothelial cancers in these dye workers was attributable to the glutathione S-transferase M1 0/0 gene. Analysis using multiple logistic models showed low predictive ability for urothelial cancer due to glutathione S-transferase M1 gene deficiency (p = 0.084, odds ratio 2.260, 95% confidence interval [CI] 0.904 to 5.652). A history of working in small factories (p = 0.000, odds ratio 7.404, 95% CI 2.854 to 19.206) and a long period of exposure (p = 0.016, odds ratio 5.051, 95% CI 1.371 to 18.612) significantly predicted cancer. CONCLUSIONS: We demonstrated a strong trend using the multiple logistic analysis of the contribution of glutathione S-transferase M1 gene polymorphism and occupational environmental factors. Therefore, the glutathione S-transferase M1 enzyme might have an important role in the detoxification of aromatic amine derived carcinogens. Occupational environmental factors, however, might contribute more than a glutathione S-transferase M1 gene deficiency to the occurrence of urothelial cancer among individuals exposed to aromatic amines, because of the extremely potent carcinogenicity of some occupational environmental factors.

2-Naphthylamine↗

Mixed-effects logistic approach for association following linkage scan for complex disorders.

An association study to identify possible causal single nucleotide polymorphisms following linkage scanning is a popular approach for the genetic dissection of complex disorders. However, in association studies cases and controls are assumed to be independent, i.e., genetically unrelated. Choosing a single affected individual per family is statistically inefficient and leads to a loss of power. On the other hand, because of the relatedness of family members, using affected family members and unrelated normal controls directly leads to false-positive results in association studies. In this paper we propose a new approach using mixed-model logistic regression, in which associations are performed using family members and unrelated controls. Thus, the important genetic information can be obtained from family members while retaining high statistical power. To examine the properties of this new approach we developed an efficient algorithm, to simulate environmental risk factors and the genotypes at both the disease locus and a marker locus with and without linkage disequilibrium (LD) in families. Extensive simulation studies showed that our approach can effectively control the type-I error probability. Our approach is better than family-based designs such as TDT, because it allows the use of unrelated cases and controls and uses all of the affected members for whom DNA samples are possibly already available. Our approach also allows the inclusion of covariates such as age and smoking status. Power analysis showed that our method has higher statistical power than recent likelihood ratio-based methods when environmental factors contribute to disease susceptibility, which is true for most complex human disorders. Our method can be further extended to accommodate more complex pedigree structures.

Algorithms↗

A cross-validation of risk-scores for coronary heart disease mortality based on data from the Glostrup Population Studies and Framingham Heart Study.

BACKGROUND: Due to marked regional differences in the incidence of coronary heart disease (CHD) in Europe, the recommendation by the European Society of Cardiology to use the Coronary Risk Chart based on data from the Framingham Heart Study, could be questioned. METHODS: Data from two population studies (The Glostrup Population Studies, n = 4757, the Framingham Heart Study, n = 2562) were used to examine three different levels of cross-validation. The first level of examination was whether a risk-score developed from one sample adequately ordered the risk of participants in the other sample, using the Area Under a Receiver Operating Characteristic (AUROC) curve. The second level compared the magnitude of coefficients in logistic models in the two studies; while the third level tested whether the level of risk of CHD death in one sample could be estimated based on a risk function from the other sample. RESULT: Coronary heart disease mortality was 515 per 100 000 person-years in Framingham and 311 per 100 000 person-years in Glostrup. The AUROC curve was between 75% and 77% and regardless of which risk-score was used. Logistic coefficients did not differ significantly between studies. The Framingham risk-score significantly overestimated the risk in the Glostrup sample and the Glostrup risk-score underestimated in the Framingham sample. CONCLUSION: Using this Framingham risk-score on a Danish population will lead to a significant overestimation of coronary risk. The validity of risk-scores developed from populations with different incidence of the disease should preferably be tested prior to their application.

Adult↗

Predicting pass rates on the American Board of Internal Medicine certifying examination.

Our objective was to determine the ability of the internal medicine In-Training Examination (ITE) to predict pass or fail outcomes on the American Board of Internal Medicine (ABIM) certifying examination and to develop an externally validated predictive model and a simple equation that can be used by residency directors to provide probability feedback for their residency programs. We collected a study sample of 155 internal medicine residents from the three Virginia internal medicine programs and a validation sample of 64 internal medicine residents from a residency program outside Virginia. Scores from both samples were collected across three class cohorts. The Kolmogorov-Smirnov z test indicated no statistically significant difference between the distribution of scores for the two samples (z = 1.284, p = .074). Results of the logistic model yielded a statistically significant prediction of ABIM pass or fail performance from ITE scores (Wald = 35.49, SE = 0.036, df = 1, p < .005) and overall correct classifications for the study sample and validation sample at 79% and 75%, respectively. The ITE is a useful tool in assessing the likelihood of a resident's passing or failing the ABIM certifying examination but is less predictive for residents who received ITE scores between 49 and 66.

Internal Medicine↗

Predicting the occurrence of adverse events after coronary artery bypass surgery.

OBJECTIVE: To determine whether adverse events occurring after coronary artery bypass surgery in Medicare patients can be predicted from clinical variables representing illness severity at admission. DESIGN: Retrospective analysis of clinical data abstracted from hospital charts, with development and validation using half-samples of the database. A logistic model was developed using illness severity at admission to predict the occurrence of an adverse event after bypass surgery. SETTING: Hospitals in seven states. PATIENTS: Random sample of 2213 Medicare patients 65 years of age or more who underwent bypass surgery between January 1985 and June 1986. OUTCOME MEASURE: The occurrence of death within 30 days of admission or any of 13 nonfatal postoperative adverse events (for example, myocardial infarction, congestive heart failure, and wound infection). RESULTS: Thirty-three percent of patients had one or more postoperative adverse events or died within 30 days of admission. Mortality within 30 days of admission was 6.6%; each adverse event was associated with increased mortality (range, 7.5% to 66.7%). Admission predictors of the occurrence of an adverse event included a history of bypass surgery, emergent surgery, a history of chronic obstructive pulmonary disease, the presence of an infiltrate on admission chest radiograph, a pulse of 110 beats/min or more, age, blood urea nitrogen of 10.7 mmol/L (30 mg/dL) or more, acute myocardial infarction at admission, and a history of myocardial infarction; the presence of one- or two-vessel disease was negatively associated with the occurrence of an adverse event. The model c-statistic was 0.64. CONCLUSIONS: Severity of illness at admission has modest predictive power with respect to adverse-event occurrence in Medicare patients who undergo bypass surgery.

Aged↗

Life events, social problems and physical health status as predictors of emotional distress in men and women in a community setting.

The main aim of this study was to construct logistic models of emotional distress (defined as a GHQ-30 score of 6 or greater) in a community sample of 226 men and 225 women. The independent variables included were: sociodemographic characteristics, physical health status, social problems and undesirable life events. Univariate comparisons showed that in both sexes undesirable life events and social problems were associated with emotional distress; in men the presence of physical symptoms and widowed, separated or divorced status also showed such an association. Separate logistic regression models for men and women confirmed the importance of undesirable life events and social problems as predictors for emotional distress. In women there was also a significant interaction effect between the two variables on emotional distress. Sociodemographic characteristics and physical health status did not exert a statistically significant effect in these models.

Adaptation, Psychological↗

Software for attributable risk and confidence interval estimation in case-control studies.

The increasing interest in obtaining model-based estimates of attributable risk (AR) and corresponding confidence intervals, in particular when more than one risk factor and/or several confounding factors are jointly considered, led us to develop a program based on the procedure described by Benichou and Gail for case-control data. This program is structured as an SAS-macro. It is suited to analysis of the relationship between risk factors and disease in case-control studies with simple random sampling of controls, in terms of relative risks and ARs, by means of unconditional logistic regression analysis. The variance of the AR is obtained by the delta method and is based on three components, namely, (i) the variance-covariance matrix of the vector of the estimated probabilities of belonging to joint levels of the exposure and confounding factors conditional on being a case, (ii) the variance-covariance matrix of the odds ratio parameter estimates from the logistic model, and (iii) the covariances between these probability and parameter estimates. Only a limited number of commands is requested from the user (i.e., the name of the work file and the names of the variables considered). The estimated relative risks for all the factors included in the model, the attributable risk for the exposure factor under consideration, and the corresponding 95% confidence intervals are given as outputs by the macro. Computational problems, if any, may arise for large numbers of covariates because of the resulting large size of vectors and matrices. The macro was tested for reliability and consistency on published data sets of case-control studies.

Age Factors↗

Acute myocardial infarction: clinical and epidemiological profile and factors associated with in-hospital death in the municipality of Rio de Janeiro.

OBJECTIVE: To study the factors associated with the risk of in-hospital death in acute myocardial infarction in the Brazilian public health system in Rio de Janeiro, Brazil. METHODS: Sectional study of a sample with 391 randomly drawn medical records of the hospitalizations due to acute myocardial infarction recorded in the hospital information system in 1997. RESULTS: The diagnosis was confirmed in 91.7% of the cases; 61.5% males; age = 60.2 +/- 2.4 years; delta time until hospitalization of 11 hours; 25.3% were diabetic; 58.1% were hypertensive; 82.6% were in Killip I class. In-hospital mortality was 20.6%. Thrombolysis was used in 19.5%; acetylsalicylic acid (ASA) 86.5%; beta-blockers 49%; angiotensin-converting enzyme (ACE) inhibitors 63.3%; calcium channel blockers 30.5%. Factors associated with increased death: age (61-80 years: OR=2.5; > 80 years: OR=9.6); Killip class (II: OR=1.9; III: OR=6; IV: OR=26.5); diabetes (OR=2.4); ventricular tachycardia (OR=8.5); ventricular fibrillation (OR=34); recurrent ischemia (OR=2.7). The use of ASA (OR=0.3), beta-blockers (OR=0.3), and ACE inhibitors (OR=0.4) was associated with a reduction in the chance of death. CONCLUSION: General lethality was high and some interventions of confirmed efficacy were underutilizated. The logistic model showed the beneficial effect of beta-blockers, and ACE inhibitors on the risk of in-hospital death.

Adrenergic beta-Antagonists↗

[Case-control analysis and follow-up study on risk factors of suicide attempt in a rural population in Shandong Province].

In order to prevent suicide behavior and propose a comprehensive strategy for suicide prevention, a cases-control study and then follow-up study in a rural population were conducted. The data were analyzed by Logistic model so as to look for the risk factors of suicide attempts. The results showed that suicide attempts were significantly positive associated with recent stress in life events, mental illness, higher scores for lifetime aggression and impulsivity while suicide attempts were negative associated with higher scores for the quality of life and higher scores for the family cohesion. The study suggested: (1) the most important risk factors for suicide was recent stressful life events followed by the mental illness as the second, (2) the higher scores for lifetime impulsivity was one of the independent risk factor for suicide attempts, (3) the model of suicide in rural population in our country is different from that in western country. It is important to develop strategies of prevention and intervention for this population at higher risk.

Adult↗

Immediate results of percutaneous mitral commissurotomy. A predictive model on a series of 1514 patients.

BACKGROUND: The wide use of percutaneous mitral commissurotomy (PMC) underlines the need to identify the predictive factors of the results. Using a large series allowed us to develop a multivariate model that can be applied to improve patient selection. METHODS AND RESULTS: Between 1986 and 1995. PMC was undertaken in 1514 patients. Mean age was 45 +/- 15 years. Echocardiography showed that 245 patients (16%) had pliable valves and mild chordal thickening (group 1), 886 (59%) had extensive subvalvular disease (group 2), and 383 (25%) had calcified valves (group 3). PMC failed in 22 patients; it was performed with a single balloon in 30 patients, a double balloon in 586, and the Inoue balloon in 876. Good immediate results were defined as a valve area > or = 1.5 cm2 with mitral regurgitation Sellers' grade < or = 2 and were obtained in 1348 patients (89%). A logistic model developed from the first 1088 cases identified the following predictors of immediate results: age (P = .004), echocardiographic group (P < .0001), valve area (P < .0001), and effective balloon dilating area (EBDA) (P = .03). Two interactions were significant: age at previous commissurotomy (P = .013) and EBDA by initial mitral regurgitation (P = .034). The type of balloon was of borderline significance (P = .09). The model was validated on an independent sample comprising the subsequent 426 procedures. For a threshold of probability of good results of .75, sensitivity was 92%, specificity 25%, and predictive accuracy 87%. CONCLUSIONS: Prediction of the immediate results of PMC is multifactorial. The predictive model developed and validated can be contributive in decision making for individual patients.

Adolescent↗

Weight outcomes among antidepressant users in nursing facilities.

OBJECTIVES: Depression is a common and treatable condition among nursing facility residents, with low body weight being a frequent concomitant concern. A common prescribing dictum is that older tricyclic antidepressants (TCAs) enhance appetite and may facilitate weight gain, while newer selective serotonin reuptake inhibitors (SSRIs) cause anorexia and resultant weight loss in older adults. Evidence is lacking on whether the small weight changes noted during short-term antidepressant efficacy trials translate into larger weight changes during prolonged treatment periods. Our main objective was to compare weight outcomes at 6 months among users of three different antidepressant groups with a control group of non-antidepressant users. A secondary objective was to determine whether antidepressant selection was associated with weight pattern before drug initiation, to capture possible prescribing bias that would affect study inferences. DESIGN: Retrospective cohort design using the Minimum Data Set--Plus (MDS+). SETTING: Kansas nursing facilities. PARTICIPANTS: 1,157 antidepressant users age 65 and older who started an antidepressant after admission and remained on the same single agent for at least 6 months, and 4,852 persons meeting the same inclusion/exclusion criteria but not receiving an antidepressant. MEASUREMENTS: Antidepressant use was identified by drug code data and divided into four groups for analysis: TCAs, SSRIs, others, and none. (Amitriptyline and trazodone were excluded because of frequent use for nondepression purposes.) Rates of clinically important loss and gain (assigned for a 10% change from baseline weight or presence of the significant loss or gain markers on the 6-month MDS assessment) and mean weight changes were compared across the four groups. Regression models were used to control for age, gender, baseline weight, confounding comorbidity, and functional variables related to eating. Previous weight patterns (loss, gain, neither, or unknown) before antidepressant initiation were compared across drug groups. RESULTS: Clinically important weight loss and gain occurred at 6 months in 14.8% and 14.4% of the sample, respectively. In unadjusted analyses, an increased likelihood of loss was found for users of SSRIs (Odds Ratio 1.57; CI 1.30, 1.90) and others (OR 1.89; CI 1.18, 3.03), compared with none. In logistic models accounting for potential confounding factors, however, SSRI use showed a modest association with gain (OR 1.31, CI 1.01, 1.70) and a trend toward a similarly modest association with loss (OR 1.28; CI 0.995, 1.64). TCA use was not associated with weight gain. When weight was examined as a continuous variable, all groups demonstrated a broad range of both loss and gain with mean-unadjusted weight changes < 3 pounds. Pairwise comparisons of adjusted differences in weight change at 6 months for SSRIs (mean loss of 1.6 pounds) and TCAs (mean gain of 0.4 pounds) were of marginal importance (P = .046) given the large sample size. No evidence was found for prescribing bias based on prior weight pattern. CONCLUSIONS: TCAs do not facilitate weight gain more than other antidepressant groups and SSRIs are not associated disproportionately with weight loss when other important clinical variables are accounted for. Small but statistically significant differences in mean weight changes between groups are largely a reflection of large sample size rather than clinically important differences. Clinicians may wish to reconsider the widely held notions that TCAs facilitate weight gain and that SSRIs place depressed older nursing facility residents at disproportionate risk for weight loss.

Aged↗

A new approach for rapid detection and typing of serum monoclonal components.

When used independently, none of the routine methods to explore serum monoclonal components (MC), including: serum protein electrophoresis (SPE), immunoelectrophoresis (IEP), kappa to lambda ratio (KLR) and immunofixation (IFE), provides a comprehensive quantitative and qualitative identification of the MC. In the past few years the concept of 'protein profile', based on immunonephelometric quantifications of serum proteins, has become widely used. It consists of a qualitative and quantitative graphic representation of numerous serum proteins including immunoglobulins. Aim of study was to develop a multidimensional model based exclusively on protein profiles labeled the protein profile prediction method (PPPM) to improve routine MC detection and typing. Serum samples from 127 hospitalized patients and 99 healthy blood donors were submitted to all of the following: SPE, IFE, KLR and a protein profile (which included IgM, IgA, IgG, kappa and lambda chain detections and quantification). The presence of a MC using IFE was chosen as the gold standard. Healthy donors and patients were randomly divided into two groups defined as testing and validation groups. A logistic model was designed based on the protein profiles of the testing group leading to the determination of a threshold value (called Z(r)) for MC detection. It was then tested to detect MC in the validation group. Using IFE, 73 MC were found in the 127 hospitalized patients. Using the threshold value for MC detection of Z(r)=1.86, the PPPM showed greater sensitivity (94.6%) in detecting a MC compared to either SPE (64.8%) or KLR (89.2%). This result was obtained without diminished specificity (80.8%). The association of SPE or KLR to PPPM did not significantly increase the sensitivity of the PPPM. In the validation group, for samples which had a high predictive probability of a MC using PPPM, the correct MC typing was identified in up to 77% of sera using PPPM only. These results may be interesting in helping to determine when supplementary IFE analysis is required to qualitatively analyze a MC. PPPM allows MC detection with great sensitivity. The immune protein profile dramatically increases the sensitivity of either SPE and/or KLR in detecting MC and may also allow heavy and light chain typing.

Antibodies, Monoclonal↗

Predictors of poor ovarian response in in vitro fertilization: a prospective study comparing basal markers of ovarian reserve.

OBJECTIVE: To identify and quantify predictors of poor ovarian response in in vitro fertilization (IVF). DESIGN; Prospective study. SETTING; Tertiary fertility center. PATIENT(S): One hundred twenty women undergoing their first IVF cycle. INTERVENTION(S): Measurement of the number of antral follicles and the total ovarian volume by ultrasound, and of basal levels of FSH, E(2), and inhibin B on cycle day 3. MAIN OUTCOME MEASURE(S): Ovarian response, and clinical and ongoing pregnancy rates. RESULT(S); The antral follicle count was the best single predictor for poor ovarian response: area under the receiver operating characteristic curve = 0.87. Addition of basal FSH and inhibin B levels to a logistic model with the antral follicle count significantly improved the prediction of poor response; the addition of basal E(2) levels and total ovarian volume did not improve the prediction. To express the discriminative performance of this model toward poor response, a maximum area under the receiver operating characteristic curve of 0.92 was calculated. Poor responders had significantly lower clinical and ongoing pregnancy rates than did normal responders. CONCLUSION(S): Our data demonstrate that the antral follicle count provides better prognostic information on the occurrence of poor response during hormone stimulation for IVF than does the patient's chronological age and the currently used endocrine markers. However, endocrine tests remain informative. Multivariate models can achieve more accurate predictions of outcomes of complex events like ovarian response in IVF.

Adult↗

An extension of the moment closure method.

The moment closure method was recently shown in Nåsell (Theor. Popul. Biol. 63 (2) (2003a) 159) to give asymptotic approximations of the first few cumulants for the stochastic logistic model. A slight extension of the method is introduced. It is shown to be robust with regard to the specific distributional assumption that is used to achieve moment closure. The phenomenon of spurious solutions is shown to be related to the domain of attraction of the non-spurious critical point.

Birth Rate↗

The National Polyp Study. Patient and polyp characteristics associated with high-grade dysplasia in colorectal adenomas.

The National Polyp Study (NPS), a randomized clinical trial to evaluate effective surveillance of patients discovered to have one or more colorectal adenomas, was the framework for this statistical analysis which used a multiple logistic model to assess the independent risk factors of patient and polyp characteristics associated with high-grade dysplasia in adenomas. The database included 3371 adenomas from 1867 patients. Adenoma size and the extent of the villous component were found to be the major independent polyp risk factors associated with high-grade dysplasia (p less than 0.0001). The adjusted odds ratios were 3.3 for medium-sized adenomas and 7.7 for large adenomas relative to small adenomas and 2.7 for villous A adenomas, 3.4 for villous B adenomas, and 8.1 for villous C and D adenomas relative to tubular adenomas. Increased frequency of high-grade dysplasia in adenomas located distal to the splenic flexure was attributable mainly to increased size and villous component rather than to location per se. The adjusted odds ratio was 1.4 (p less than 0.11) for left-sided location. Multiplicity of adenomas affected the risk for high-grade dysplasia in patients but was dependent on adenoma size and villous component and was not an independent factor. The adjusted odds ratio was 1.3 (p less than 0.17) for multiplicity. Increasing age was associated with risk for high-grade dysplasia in patients, and this effect was independent of the effect of adenoma size and histological type. The adjusted odds ratio was 1.8 (p less than 0.0016) for age greater than or equal to 60 yr. Gender was not associated with high-grade dysplasia. The adjusted odds ratio was 1.0 (p less than 0.95) for men. The size of the patient series, the prospective nature of the data collection, the completeness of information on all patients, the requirements of complete examination of the entire colon and pathological examination of all lesions encountered, and the exclusion of patients with previously diagnosed adenomas are, collectively, features unique to this study. The detailed model provided by the analysis integrates multiple patient and adenoma factors associated with high-grade dysplasia in colorectal adenomas.

Adenoma↗

Allergen sensitization and exposure to irritants in infancy.

We investigated the relationship between residence in the neighbourhood of an aluminium smelter and the prevalence of atopy in schoolchildren (7-13 years of age). Atopy was assessed in 556 of the 620 participants by a skin prick test with eight common aeroallergens. The median exposures to sulphur dioxide and fluoride during the pollen season in the age interval 19-36 months were 24 and 3.1 micrograms/m3 in the spring and 20 and 3.3 micrograms/m3 in the summer, respectively. The odds ratio (OR) of having atopy was 2.0 (95% CI: 1.2-3.3) in those children who had lived in the index area for 7 years or more compared with those who had lived there less than 7 years (cumulative effect). The OR of atopy was 2.5 (1.4-4.4) in those who had lived in the index area during the age interval of 19-36 months compared with rural residence during this age-interval (age-specific effect). When the age-specific effect and the cumulative effect were compared in the same logistic model, the former decreased to 1.1 (0.4-3.0), whereas the latter was 2.2 (0.7-6.6). The results indicate that exposure to these low levels of irritants during early childhood increases allergen sensitization in children.

Adolescent↗

Inheritance of guttural pouch tympany in the arabian horse.

The objective of the present study was to analyze the mode of inheritance of guttural pouch tympany (GPT) using pedigrees of Arabian horses. Complex segregation analyses were employed to test for the significance of nongenetic transmission and for monogenic, polygenic, and mixed monogenic-polygenic modes of inheritance. Horses affected by GPT comprised 27 Arabian purebred foals. Of these 27 animals, 22 were patients at the Clinic for Horses, School of Veterinary Medicine Hannover, Hannover, Germany, between 1994 and 2001 and 5 Arabian foals were from stud farms. Information on the pedigrees of these patients allowed us to classify the affected foals into four families with a total of 276 animals. The regressive logistic model analysis took into account the nonrandomness of the pedigrees through multiple single ascertainment correction. The complex segregation analysis showed that, among all other models employed, a polygenic and a mixed monogenic-polygenic model best explained the segregation of Arabian foals with GPT. Models including only nongenetic distributions and monogenic inheritance could be significantly rejected. This is the first report in which a genetic component could be shown to be responsible for GPT in horses.

Analysis of Variance↗

Sinonasal cancer and wood dust exposure: results from a case-control study.

A case-control study of occupational risk factors for sinonasal cancer was conducted in France in 1986-1988. The study included 207 histologically confirmed cases and 409 controls. Among the male cases were 59 men with squamous cell carcinoma and 82 with adenocarcinoma. The risk of sinonasal cancer in relation to wood dust exposure was studied in these two groups. The analysis was based on a case-by-case assessment of exposure by an industrial hygienist. Hardwood and softwood were distinguished. An approximate twofold increase in risk for squamous cell carcinomas was observed for cases whose first exposure to either hardwood or softwood occurred before 1945; however, the two types of exposure were highly correlated. An exposure to wood dust--from either hardwood alone or hardwood and other kinds of wood--was found for all but two of the 82 male cases with adenocarcinoma. The effects of different elements of exposure to hardwood (duration, level, period) were studied in detail with a logistic model. Two components of exposure--duration and average level--contributed independently to the overall very elevated risk. Additional exposure to wood other than hardwood did not increase the risk.

Adenocarcinoma↗