[Iatrogenic preterm births and late preterm births of 340/7 to 366/7 - risks and chances]

Late preterm births with a gestational age of 340/7-366/7 are physiologically, anatomically and metabolically immature and develop medical complications significantly more frequently, have a high morbidity and an elevated mortality. Consideration of this knowledge will in future require new strategies for obstretric, peripartal and neonatal management options that take into account not only maternal risks and demands but also those of the infant.

Giulio Cesare Aranzio (Arantius) (1530-89) in the pageant of anatomy and surgery

Giulio Cesare Aranzio in Italian (Julius Caesar Arantius in Latin) has not received full acclaim for his achievements in the field of anatomy and surgery that remain unknown to most physicians. His anatomical books Observationes Anatomicas, and De Humano Foetu Opusculum and surgical books De Tumoribus Secundum Locos Affectos and Hippocratis librum de vulneribus capitis commentarius brevis printed in Latin and additional existing literature on Aranzio from medical history books and journals were analysed extensively. Aranzio became Professor of Anatomy and Surgery at the University of Bologna in 1556. He established anatomy as a distinguished branch of medicine for the first time in medical history. Aranzio combined anatomy with a description of pathological processes. He discovered the 'Nodules of Aranzio' in the semilunar valves of the heart. He gave the first description of the superior levator palpebral and the coracobrachialis muscles. Aranzio wrote on surgical techniques for a wide spectrum of conditions that range from hydrocephalus, nasal polyp, goitre and tumours to phimosis, ascites, haemorrhoids, anal abscess and fistulae, and much more. Aranzio had an extensive knowledge in surgery and anatomy based in part on the ancient Greek and his contemporaries in the 16th century but essentially on his personal experience and practice.

Delivery of health care at the end of life in cancer patients of four swiss cantons a retrospective database study (SAKK 89/09)

Background The use of cancer related therapy in cancer patients at the end-of-life has increased over time in many countries. Given a lack of published Swiss data, the objective of this study was to describe delivery of health care during the last month before death of cancer patients. Methods Claims data were used to assess health care utilization of cancer patients (identified by cancer registry data of four participating cantons), deceased between 2006-2008. Primary endpoints were hospitalization rate and delivery of cancer related therapies during the last 30 days before death. Multivariate logistic regression assessed the explanatory value of patient and geographic characteristics. Results 3809 identified cancer patients were included. Hospitalization rate (mean 68.5%, 95%CI 67.0-69.9) and percentage of patients receiving anti-cancer drug therapies (ACDT, mean 14.5%, 95%CI 13.4-15.6) and radiotherapy (mean 7.7%, 95%CI 6.7-8.4) decreased with age. Canton of residence and insurance type status most significantly influenced the odds for hospitalization or receiving ACDT. Conclusions The intensity of cancer specific care showed substantial variation by age, cancer type, place of residence and insurance type status. This may be partially driven by cultural differences within Switzerland and the cantonal organization of the Swiss health care system.

Cancer-related therapies at the end of life in hospitalized cancer patients from four Swiss cantons: SAKK 89/09.

The use of cancer-related therapies in cancer patients hospitalized at the end of life has increased in many countries over time. Given the scarcity of published Swiss data, the objective of this study was to evaluate the influence of hospital type and other factors on the delivery of health care during the last month before death. Claims data were used to assess health care utilization of cancer patients (identified by cancer registry data of four participating Swiss cantons) who deceased between 2006 and 2008. Primary endpoints were delivery of cancer-related therapies during the last 30 days before death. Multivariate logistic regression assessed the explanatory value of hospital type, patient and geographic characteristics. Of 3,809 identified cancer patients in the claims database, 2,086 patients dying from cancer were hospitalized during the last 30 days before death, generating 2,262 inpatient episodes. Anticancer drug therapy was given in 22.2% and radiotherapy in 11.7% of episodes. Besides age and cancer type, the canton of residence and hospital type showed independent, statistically significant associations with intensity of care, which was highest in university hospitals. These results should initiate a discussion among oncologists in Switzerland and may question the compliance with standard of care guidelines for terminal cancer patients.

Days spent in acute care hospitals at the end of life of cancer patients in four Swiss cantons: a retrospective database study (SAKK 89/09).

Number of days spent in acute hospitals (DAH) at the end of life is regarded as an important care quality indicator for cancer patients. We analysed DAH during 90 days prior to death in patients from four Swiss cantons. Claims data from an insurance provider with about 20% market share and patient record review identified 2086 patients as dying of cancer. We calculated total DAH per patient. Multivariable generalised linear modelling served to evaluate potential explanatory variables. Mean DAH was 26 days. In the multivariable model, using complementary and alternative medicine (DAH = 33.9; +8.8 days compared to non-users) and canton of residence (for patient receiving anti-cancer therapy, Zürich DAH = 22.8 versus Basel DAH = 31.4; for other patients, Valais DAH = 22.7 versus Ticino DAH = 33.7) had the strongest influence. Age at death and days spent in other institutions were additional significant predictors. DAH during the last 90 days of life of cancer patients from four Swiss cantons is high compared to most other countries. Several factors influence DAH. Resulting differences are likely to have financial impact, as DAH is a major cost driver for end-of-life care. Whether they are supply- or demand-driven and whether patients would prefer fewer days in hospital remains to be established.