Aim: Aetiology of in-hospital cardiac arrests (IHCAs) on general wards has not been studied. We aimed to determine the underlying causes for IHCAs by the means of autopsy records and clinical judgement of the treating consultants. Furthermore, we investigated whether aetiology and preceding vital dysfunctions are associated with long-term survival. Design and setting: Prospective observational study between 2009-2011 including 279 adult IHCA patients attended by medical emergency team in a Finnish university hospital's general wards. Results: The median age of the patients was 72 (64, 80) years, 185 (66%) were male, 178 (64%) of events were monitored/witnessed, first rhythm was shockable in 42 (15%) cases and 53 (19%) patients survived six months. Aetiology was determined as cardiac in 141 events, 73 of which were due to acute myocardial infarction. There were 138 non-cardiac IHCAs; most common causes were pneumonia (39) and exsanguination (16). No statistical difference was observed in the incidence of objective vital dysfunctions preceding the event between the cardiac and non-cardiac groups (40% vs. 44%, p = 0.448). Subjective antecedents were more common in the cardiac cohort (47% vs. 32%, p = 0.022), chest pain being an example (11% vs. 0.7%, p <0.001). Reviewing all 279 IHCAs, only shockable primary rhythm, monitored/witnessed event and low comorbidity score were independently associated with 180-day survival. Conclusions: Cardiac aetiology underlies half of the IHCAs on general wards. Both objective and subjective antecedents are common. However, neither the cardiac aetiology nor the absence of preceding deterioration of vital signs were factors independently associated with a favourable outcome. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

Introduction: While the associations of genetic, reproductive and environmental factors with the timing of natural menopause have been extensively investigated, few epidemiological studies have specifically examined their association with premature (<40 years) or early natural menopause (40-45 years). Aim: The aim of this position statement is to provide evidence on the predictors of premature and early natural menopause, as well as recommendations for the management of premature and early menopause and future research. Materials and methods: Literature review and consensus of expert opinion. Results and conclusions: Strong genetic predictors of premature and early menopause include a family history of premature or early menopause, being a child of a multiple pregnancy and some specific genetic variants. Women with early menarche and nulliparity or low parity are also at a higher risk of experiencing premature or early menopause. Cigarette smoking (with a strong dose-response effect) and being underweight have been consistently associated with premature and early menopause. Current guidelines for the management of premature and early menopause mainly focus on early initiation of hormone therapy (HT) and continued treatment until the woman reaches the average age at menopause (50-52 years). We suggest that clinicians and health professionals consider the age at menopause of the relevant region or ethnic group as part of the assessment for the timing of HT cessation. In addition, there should be early monitoring of women with a family history of early menopause, who are a child of a multiple pregnancy, or who have had early menarche (especially those who have had no children). As part of preventive health strategies, women should be encouraged to quit smoking (preferably before the age of 30 years) and maintain optimal weight in order to reduce their risk of premature or early menopause.

BackgroundInter-observer variability in stroke aetiological classification may have an effect on trial power and estimation of treatment effect. We modelled the effect of misclassification on required sample size in a hypothetical cardioembolic (CE) stroke trial.MethodsWe performed a systematic review to quantify the reliability (inter-observer variability) of various stroke aetiological classification systems. We then modelled the effect of this misclassification in a hypothetical trial of anticoagulant in CE stroke contaminated by patients with non-cardioembolic (non-CE) stroke aetiology. Rates of misclassification were based on the summary reliability estimates from our systematic review. We randomly sampled data from previous acute trials in CE and non-CE participants, using the Virtual International Stroke Trials Archive. We used bootstrapping to model the effect of varying misclassification rates on sample size required to detect a between-group treatment effect across 5000 permutations. We described outcomes in terms of survival and stroke recurrence censored at 90days.ResultsFrom 4655 titles, we found 14 articles describing three stroke classification systems. The inter-observer reliability of the classification systems varied from fair' to very good' and suggested misclassification rates of 5% and 20% for our modelling. The hypothetical trial, with 80% power and alpha 0.05, was able to show a difference in survival between anticoagulant and antiplatelet in CE with a sample size of 198 in both trial arms. Contamination of both arms with 5% misclassified participants inflated the required sample size to 237 and with 20% misclassification inflated the required sample size to 352, for equivalent trial power. For an outcome of stroke recurrence using the same data, base-case estimated sample size for 80% power and alpha 0.05 was n=502 in each arm, increasing to 605 at 5% contamination and 973 at 20% contamination.ConclusionsStroke aetiological classification systems suffer from inter-observer variability, and the resulting misclassification may limit trial power.Trial registrationProtocol available at reviewregistry540.

BackgroundThe length of interval between successive childbirths (birth interval) might influence the incidence of breast cancer, either by stimulating or by inhibiting the factors that are responsible for the initiation of breast cancer or its early development.MethodsThis is a case-control study nested in a cohort of 47,479 Finnish grand-multiparous (GM) women born after 1934, and registered as having had at least five births before 2013. The 1354 women with breast cancer diagnosis were compared with controls (1:5) matched by parity and date of birth of the mother. Conditional logistic regression was used to estimate odds ratios of the risk of ductal and lobular breast cancer subtypes associated with each of the intervals between the 1st and 5th birth, stratified by age at diagnosis. Age at first and last birth before index date were used as covariates.ResultsIncreased intervals between the 1st and 5th births were associated with an increased risk of lobular breast cancer. In contrast, regarding ductal cancer, premenopausal women with shorter length of interval (