ABSTRACT
Bloom Syndrome (BSyn) is an autosomal recessive disorder that causes growth deficiency, endocrine abnormalities, photosensitive skin rash, immune abnormalities, and predisposition to early-onset cancer. The available treatments for BSyn are symptomatic, and early identification of complications has the potential to improve outcomes. To accomplish this, standardized recommendations for health supervision are needed for early diagnosis and treatment. The purpose of this report is to use information from the BSyn Registry, published literature, and expertise from clinicians and researchers with experience in BSyn to develop recommendations for diagnosis, screening, and treatment of the clinical manifestations in people with BSyn. These health supervision recommendations can be incorporated into the routine clinical care of people with BSyn and can be revised as more knowledge is gained regarding their clinical utility.
Subject(s)
Bloom Syndrome/epidemiology , Delivery of Health Care , Bloom Syndrome/complications , Bloom Syndrome/diagnosis , Bloom Syndrome/therapy , Child , Child Development , Child, Preschool , Delivery of Health Care/history , Delivery of Health Care/organization & administration , Disease Management , Female , Health Planning Guidelines , History, 20th Century , History, 21st Century , Humans , Incidence , Intelligence , Male , Neoplasms/diagnosis , Neoplasms/epidemiology , Neoplasms/etiology , Neoplasms/therapy , Nutritional Status , Phenotype , Public Health Surveillance , RegistriesABSTRACT
BACKGROUND: Currently, no clinical tools use demographic and risk factor information to predict the risk of finding an adenoma in individuals undergoing colon cancer screening. Such a tool would be valuable for identifying those who would most benefit from screening colonoscopy. METHODS: We used baseline data from men and women who underwent screening colonoscopy from the randomized, multicenter National Colonoscopy Study (NCS) to develop and validate an adenoma risk model. The study, conducted at three sites in the United States (Minneapolis, MN; Seattle, WA; and Shreveport, LA) asked all participants to complete baseline questionnaires on clinical risk factors and family history. Model parameters estimated from logistic regression yielded an area under the receiver operating characteristic curve (AUROCC) used to assess prediction. RESULTS: Five hundred forty-one subjects were included in the development model, and 1,334 in the validation of the risk score. Variables in the prediction of adenoma risk for colonoscopy screening were age (likelihood ratio test for overall contribution to model, P < 0.001), male sex (P < 0.001), body mass index (P < 0.001), family history of at least one first-degree relative with colorectal cancer (P = 0.036), and smoking history (P < 0.001). The adjusted AUROCC of 0.67 [95% confidence interval (CI), 0.61-0.74] for the derivation cohort was not statistically significantly different from that in the validation cohort. The adjusted AUROCC for the entire cohort was 0.64 (95% CI, 0.60-0.67). CONCLUSION: We developed and validated a simple well-calibrated risk score. IMPACT: This tool may be useful for estimating risk of adenomas in screening eligible men and women.
