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Biomedical subjects

Adam Pleister

Publications and source records attributed to Adam Pleister.

2 recordsLinked to original sources

Age is independent of comorbidity influencing patient selection for combined modality therapy for treatment of stage III nonsmall cell lung cancer (NSCLC).

OBJECTIVES: To determine the influence of age and comorbidity in patient selection for treatment of stage III NSCLC with combined modality therapy (CMT). METHODS: There were 102 patients with a Karnofsky Performance Score greater than or equal to 70, and clinical stage III NSCLC analyzed retrospectively for comorbidity. All patients received radiotherapy, and 57 (56%) received CMT with sequential and/or concurrent chemotherapy. Comorbidity was rated retrospectively using the Cumulative Illness Rating Scale for Geriatrics (CIRS-G). The effect of an extremely severe comorbidity score on patient selection and overall survival (OS) was evaluated. RESULTS: Presence of a grade 4 comorbidity (P = 0.02) and use of radiation only (P < 0.01) were associated with a statistically significant inferior OS on multivariate analysis, whereas age greater than or equal to 70, clinical stage IIIB, >5% weight loss, and radiation dose >63 Gy were not. Patients receiving CMT were significantly younger (P < 0.001), with less comorbidity (P < 0.001), and weight loss (P = 0.003) compared with patients receiving radiotherapy alone. A multivariate analysis revealed that age (P < 0.001), comorbidity (P = 0.007), and weight loss (P = 0.002) were independent factors influencing patient selection for CMT. CONCLUSIONS: Age effects patient selection for CMT independent of comorbidity and weight loss in patients with stage III NSCLC and good performance status. This might be related to physician's biases regarding tolerability of CMT in the elderly, and might explain under-representation of elderly in clinical trials of lung cancer. Comorbidity assessment should be included in protocols studying locally advanced stage NSCLC and may be useful for stratification.

Age Factors↗

Cryptic infection and autoimmunity.

Infection as an environmental factor in autoimmunity has long been recognized. Numerous examples can be found in which pathogens express antigens that cross-react with host antigens or induce local inflammatory responses that can lead to autoimmune responses through a very complex set of circumstances. Borrowing from the relationship between chronic infection with hepatitis C virus and autoimmune hepatitis as an example, we consider the possibility that infection with an unknown virus having specific tissue tropism could lead to a perceived autoimmune process. We raise the question whether such should be considered for Type 1 diabetes.

Animals↗