The association between dose intensity of chemotherapy with the rate of complete remission (CR), the duration of disease-free survival (DFS), and overall survival (OS) was separately analyzed for 67 patients initially treated with mechlorethamine, vincristine, procarbazine, and prednisone (MOPP), and for 75 patients in relapse following radiotherapy who had received MOPP as a salvage regimen. In both groups of patients, the fraction of the total dose of mechlorethamine delivered in all cycles divided by the planned dose for six cycles was strongly associated with OS (P = .002 for patients receiving initial MOPP and P = .02 for the salvage group, respectively). B symptoms were independent of drug-derived variables associated with OS (corresponding P values .03 for initial MOPP and .004 for the salvage group). The predictive value of mechlorethamine dosage with regard to OS was retained in an analysis restricted to the patients receiving greater than or equal to six cycles of chemotherapy. In the initial chemotherapy group, mechlorethamine dosage was associated with attainment of CR but none of the variables tested was predictive of DFS. In the salvage chemotherapy group, mechlorethamine dosage was associated with attainment of CR and duration of DFS as well. The results emphasize that, besides tumor characteristics, optimal dosage of chemotherapy is of great importance for survival.

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A total of 340 patients with Hodgkin's disease were evaluated for the occurrence of intercurrent fatalities after treatment with radiotherapy, chemotherapy, combined modality therapy, and salvage chemotherapy. Mean follow-up time was 76.6 months. Causes of death were compared with the expected risk, calculated from mortality statistics of the Netherlands' population. Sixty-seven patients died of progressive Hodgkin's disease, whereas 37 patients died of causes unrelated to advanced disease. Patients showed an increased risk of dying of leukemia and solid tumors (P less than .001), whereas the risk of dying of cardiovascular complications was not increased. The 10-year actuarial risk of dying of leukemia varied between 0% for patients treated with radiotherapy only and 5.7% for those needing salvage chemotherapy. The 10-year risk of dying of solid tumors was 0% for patients treated with chemotherapy and 6.5% for those receiving radiotherapy. Treatment-related fatalities were highest after combined modality therapy (P less than .025); the corresponding 10-year risk was 6.1%. Compared with younger ones, patients greater than or equal to 40 years had an increased risk of dying of causes unrelated to progressive Hodgkin's diseases. The actuarial risk of developing intercurrent fatalities at 10 years was 4.9% in patients less than 40 years, and 34.7% in those greater than or equal to 40 years (P less than .001). Compared with population based statistics, patients successfully treated for Hodgkin's disease still showed an increased risk of dying (P less than .001). Treatment modality, stage, and histologic subtype were not predictors of intercurrent death.

Recent studies demonstrate that patients with a shrinking abdominal aortic aneurysm (AAA), one-year after endovascular repair (EVAR), have better long-term outcomes than patients with a stable AAA. It is not known what factors determine whether an AAA will shrink or not. In this study, a range of parameters was investigated to identify their use in differentiating patients that will develop a shrinking AAA from those with a stable AAA one-year after EVAR. Hundred-seventy-four patients (67 shrinking AAA, 107 stable AAA) who underwent elective, infrarenal EVAR were enrolled between 2011–2018. Long-term survival was significantly better in patients with a shrinking AAA, compared to those with a stable AAA (p = 0.038). Larger preoperative maximum AAA diameter was associated with an increased likelihood of developing AAA shrinkage one-year after EVAR—whereas older age and larger preoperative infrarenal β angle were associated with a reduced likelihood of AAA shrinkage. However, this multivariate logistic regression model was only able to correctly identify 66.7% of patients with AAA shrinkage from the total cohort. This is not sufficient for implementation in clinical care, and therefore future research is recommended to dive deeper into AAA anatomy, and explore potential predictors using artificial intelligence and radiomics.