Browsing by Subject "Older age"

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    Older Age and Disease Duration Are Highly Associated with Hepatocellular Carcinoma in Patients with Autoimmune Hepatitis
    (Springer, 2019-01-07) Dakhoul, Lara; Jones, Keaton R.; Gawrieh, Samer; Ghabril, Marwan; McShane, Chelsey; Vuppalanchi, Raj; Vilar-Gomez, Eduardo; Nephew, Lauren; Chalasani, Naga; Lammert, Craig; Medicine, School of Medicine
    Background: Hepatocellular carcinoma (HCC) is rare in patients with autoimmune hepatitis (AIH). However, the overall burden of AIH cirrhosis in causing HCC and patients' risk factors are not well understood. Aims: To characterize the proportion of HCC linked to AIH at a large academic health center, and to identify variables associated with HCC in patients with AIH in a case-control study design. Methods: Over a 14.5-year period, medical records of all patients with HCC were reviewed. Cases are AIH patients identified from the cohort, and controls are patients with AIH without HCC. Three controls were randomly chosen from the Genetic Repository of Autoimmune Liver Disease and Coexisting Exposures database for each eligible case. Results: Out of 1250 eligible patients, 20 were linked to AIH (1.6%). Their median age was 64 years, 40% men and 100% Caucasian. Ten percent of AIH patients did not have evidence of cirrhosis at HCC diagnosis. The proportion of HCCs due to AIH decreased during the time intervals of the study. Compared to controls, cases were more likely men (40.0% vs. 18%, p = 0.049), with longer AIH duration (median 16 years vs. 5 years, p = 0.004). Prolonged AIH duration (OR 1.68, p = 0.006) and older age (OR 1.15, p = 0.049) were risk factors for HCC. Conclusions: AIH is a rare cause (1.6%) for HCC in Midwestern USA with a decreasing trend over 14.5 years. Ten percent of AIH-HCC patients did not have cirrhosis at time of HCC diagnosis. Patients with prolonged duration of the disease and older age are at high risk to develop HCC.
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    Prediction of Radiation Esophagitis in Non-Small Cell Lung Cancer Using Clinical Factors, Dosimetric Parameters, and Pretreatment Cytokine Levels
    (Elsevier, 2018-02) Hawkins, Peter G.; Boonstra, Philip S.; Hobson, Stephen T.; Hayman, James A.; Ten Haken, Randall K.; Matuszak, Martha M.; Stanton, Paul; Kalemkerian, Gregory P.; Lawrence, Theodore S.; Schipper, Matthew J.; Kong, Feng-Ming (Spring); Jolly, Shruti; Radiation Oncology, School of Medicine
    Radiation esophagitis (RE) is a common adverse event associated with radiotherapy for non-small cell lung cancer (NSCLC). While plasma cytokine levels have been correlated with other forms of radiation-induced toxicity, their association with RE has been less well studied. We analyzed data from 126 patients treated on 4 prospective clinical trials. Logistic regression models based on combinations of dosimetric factors [maximum dose to 2 cubic cm (D2cc) and generalized equivalent uniform dose (gEUD)], clinical variables, and pretreatment plasma levels of 30 cytokines were developed. Cross-validated estimates of area under the receiver operating characteristic curve (AUC) and log likelihood were used to assess prediction accuracy. Dose-only models predicted grade 3 RE with AUC values of 0.750 (D2cc) and 0.727 (gEUD). Combining clinical factors with D2cc increased the AUC to 0.779. Incorporating pretreatment cytokine measurements, modeled as direct associations with RE and as potential interactions with the dose-esophagitis association, produced AUC values of 0.758 and 0.773, respectively. D2cc and gEUD correlated with grade 3 RE with odds ratios (ORs) of 1.094/Gy and 1.096/Gy, respectively. Female gender was associated with a higher risk of RE, with ORs of 1.09 and 1.112 in the D2cc and gEUD models, respectively. Older age was associated with decreased risk of RE, with ORs of 0.992/year and 0.991/year in the D2cc and gEUD models, respectively. Combining clinical with dosimetric factors but not pretreatment cytokine levels yielded improved prediction of grade 3 RE compared to prediction by dose alone. Such multifactorial modeling may prove useful in directing radiation treatment planning.