Predicting Long-term Survival After Lung Metastasectomy in Patients With Malignant Germ-cell Tumors.

BACKGROUND/AIM: The aim of the study was to identify predictors of long-term survival and propose an improved risk stratification in patients with pulmonary germ-cell metastases admitted for pulmonary metastasectomy. PATIENTS AND METHODS: Thirty-four patients admitted to the Division of Thoracic Surgery Munich, Germany, from 04/1994 until 09/2017 were retrospectively analyzed. The impact of clinical parameters on survival was calculated using Kaplan-Meier, multivariate Cox regression analysis and receiver-operator curves. RESULTS: Ten-year overall survival was 75.3%. Elevated American Society of Anesthesiologists score, metachronous metastasis, embryonal histology, intrathoracic lymph node involvement, brain metastases and thoracic wall infiltration were significant predictors of reduced survival. With the independent predictors (embryonal histology, metachronous metastasis and thoracic wall infiltration), a germinal non-seminomatous lung metastasis risk of death score (GLUMER) was calculated, accurately predicting survival (area under curve=0.8839, p=0.0023). CONCLUSION: In patients with pulmonary germ-cell metastases, intrathoracic lymph node involvement, embryonal carcinoma, metachronous metastasis and thoracic wall infiltration represent negative predictors of long-term survival. The GLUMER score might represent a promising tool for use in adapted follow-up care in high-risk patients.

Lung transplantation in the spotlight: Reasons for high-cost procedures.

BACKGROUND: Hospital treatment costs of lung transplantation are insufficiently analyzed. Accordingly, it remains unknown, whether current Diagnosis Related Groups, merely accounting for 3 ventilation time intervals and length of hospital stay, reproduce costs properly, even when an increasing number of complex recipients are treated. Therefore, in this cost determination study, actual costs were calculated and cost drivers identified. METHODS: A standardized microcosting approach allowed for individual cost calculations in 780 lung transplant patients taken care of at Hannover Medical School and University of Munich from 2009 to 2013. A generalized linear model facilitated the determination of characteristics predictive for inpatient costs. RESULTS: Lung transplantation costs varied substantially by major diagnosis, with a mean of €85,946 (median €52,938 ± 3,081). Length of stay and ventilation time properly reproduced costs in many cases. However, complications requiring prolonged ventilation or reinterventions were identified as additional significant cost drivers, responsible for high costs. CONCLUSIONS: Diagnosis Related Groups properly reproduce actual lung transplantation costs in straightforward cases, but costs in complex cases may remain underestimated. Improved grouping should consider major diagnosis, a higher gradation of ventilation time, and the number of reinterventions to allow for more reasonable reimbursement.