Purpose Women with atypical hyperplasia (AH) on breast biopsy have an aggregate increased risk of breast cancer (BC), but existing risk prediction models do not provide accurate individualized estimates of risk in this subset of high-risk women. Here, we used the Mayo benign breast disease cohort to develop and validate a model of BC risk prediction that is specifically for women with AH, which we have designated as AH-BC. Patients and Methods Retrospective cohorts of women age 18 to 85 years with pathologically confirmed benign AH from Rochester, MN, and Nashville, TN, were used for model development and external validation, respectively. Clinical risk factors and histologic features of the tissue biopsy were selected using L1-penalized Cox proportional hazards regression. Identified features were included in a Fine and Gray regression model to estimate BC risk, with death as a competing risk. Model discrimination and calibration were assessed in the model-building set and an external validation set. Results The model-building set consisted of 699 women with AH, 142 of whom developed BC (median follow-up, 8.1 years), and the external validation set consisted of 461 women with 114 later BC events (median follow-up, 11.4 years). The final AH-BC model included three covariates: age at biopsy, age at biopsy squared, and number of foci of AH. At 10 years, the AH-BC model demonstrated good discrimination (0.63 [95% CI, 0.57 to 0.70]) and calibration (0.87 [95% CI, 0.66 to 1.24]). In the external validation set, the model showed acceptable discrimination (0.59 [95% CI, 0.51 to 0.67]) and calibration (0.91 [95% CI, 0.65 to 1.42]). Conclusion We have created a new model with which to refine BC risk prediction for women with AH. The AH-BC model demonstrates good discrimination and calibration, and it validates in an external data set.
A new model for predicting breast cancer risk in women with atypical hyperplasia.
2 Background: Women with atypical hyperplasia (AH) on breast biopsy have an aggregate increased risk of breast cancer (BC), but accurate personalized risk prediction is desirable to facilitate individual clinical management decisions. Currently used models provide poor BC risk prediction for women with AH. Our goal was to develop and validate an improved risk prediction model for women with AH. Methods: From a cohort of 13,538 women with benign breast disease from 1967-2001, pathology review confirmed 699 with AH. Clinical risk factors and histologic features of the tissue biopsy were recorded, and BC events were ascertained from study questionnaires, tumor registry, and review of medical records. Using a lasso approach, 23 variables were assessed for model inclusion. Lasso-identified features were then fit in a Cox regression model to estimate BC risk. Model discrimination was assessed with C-statistics in the model-building set and in a separate external validation set. Calibration was assessed by comparing observed to predicted breast cancer counts. Results: The model-building set comprised 699 women with 142 BC events (median follow-up 8.1 years), and the external validation set comprised 461 women with 114 BC events (median follow-up 11.4 years). The final model included three covariates: age at biopsy, age squared, and number of foci of AH. Model performance was good, with a C-statistic of 0.622 (SE = 0.027) in the model-building set and 0.594 (SE = 0.029) in the external validation set. The model is well-calibrated, with observed to expected numbers of BCs nearly equal across all post-biopsy follow-up years. Conclusions: We propose a new model for predicting BC risk in women with AH based on age at biopsy and number of foci of atypia. This model provides absolute risk estimates for women with AH, has good discriminatory ability, is well-calibrated, and validates in an external cohort.
The diagnosis of adult-onset haemophagocytic lymphohistiocytosis: lessons learned from a review of 29 cases of bone marrow haemophagocytosis in two large academic institutions
Aims Haemophagocytic lymphohistiocytosis (HLH) is divided into paediatric (primary) and adult (secondary) types. While paediatric-HLH has been extensively characterised, similar studies in adults are limited. This study aims to evaluate the significance of the HLH diagnostic criteria as well as other clinical parameters in adults with bone marrow evidence of haemophagocytosis. Methods We conducted a 10-year retrospective search of the pathology archives of two institutions for cases with bone marrow haemophagocytosis. We included those cases that fulfilled the currently established HLH diagnostic criteria. For the 29 cases that met inclusion criteria, we assessed clinical features, co-morbidities, therapy and clinical outcome. The effect of 19 clinical variables on mortality outcomes was assessed using logistic and hazard regression analyses. Results Of cases for which an aetiology could be identified, infectious diseases were the most common association (14 of 19, 74%). Fever and elevated ferritin were the most frequently available criteria used to establish HLH. The overall mortality rate was 61% despite HLH-specific therapy, which had been initiated in 48% of the cases. The remaining cases were treated with supportive therapy and antibiotics. The most statistically significant marker of mortality was an elevated absolute neutrophil count (ANC), a feature not typical of HLH. Conclusions Since elevated ANC correlates with poor outcomes in sepsis, and not HLH, we postulate that many of the patients fulfilling HLH diagnostic criteria in this study likely had sepsis/systemic inflammatory response syndrome rather than HLH. Our results highlight the need to define HLH diagnostic criteria specific to the adult population.
Extent of atypical hyperplasia stratifies breast cancer risk in 2 independent cohorts of women