Summary Quality of life after critical illness is becoming increasingly important as survival improves. Various measures have been used to study the quality of life of patients discharged from intensive care. We systematically reviewed validated measures of quality of life and their results. We searched PubMed, CENTRAL, CINAHL, Web of Science and Open Grey for studies of quality of life, measured after discharge from intensive care. We categorised studied populations as: general; restricted to level‐3 care or critical care beyond 5 days; and septic patients. We included quality of life measured at any time after hospital discharge. We identified 48 studies. Thirty‐one studies used the Medical Outcomes Study 36‐Item Short Form Health Survey (SF‐36) and 19 used the EuroQol‐5D (EQ‐5D); eight used both and nine used alternative validated measures. Follow‐up rates ranged from 26–100%. Quality of life after critical care was worse than for age‐ and sex‐matched populations. Quality of life improved for one year after hospital discharge. The aspects of life that improved most were physical function, physical role, vitality and social function. However, these domains were also the least likely to recover to population norms as they were more profoundly affected by critical illness.

Mitochondrial dysfunction is putatively central to glioblastoma (GBM) pathophysiology but there has been no systematic analysis in GBM of the proteins which are integral to mitochondrial function. Alterations in proteins in mitochondrial enriched fractions from patients with GBM were defined with label-free liquid chromatography mass spectrometry. 256 mitochondrially-associated proteins were identified in mitochondrial enriched fractions and 117 of these mitochondrial proteins were markedly (fold-change ≥2) and significantly altered in GBM (p ≤ 0.05). Proteins associated with oxidative damage (including catalase, superoxide dismutase 2, peroxiredoxin 1 and peroxiredoxin 4) were increased in GBM. Protein–protein interaction analysis highlighted a reduction in multiple proteins coupled to energy metabolism (in particular respiratory chain proteins, including 23 complex-I proteins). Qualitative ultrastructural analysis in GBM with electron microscopy showed a notably higher prevalence of mitochondria with cristolysis in GBM. This study highlights the complex mitochondrial proteomic adjustments which occur in GBM pathophysiology.Electronic supplementary materialThe online version of this article (doi:10.1007/s11060-014-1430-5) contains supplementary material, which is available to authorized users.

Clinical experience and nursing metrics have consistently identified poor documentation of fluid balance monitoring at Milton Keynes University Hospital, compromising patient safety and quality of care. This project aimed to increase the percentage of fluid balance charts correctly completed on the wards.Three areas for improvement were identified: understanding the importance of good fluid balance monitoring, correct identification of patients requiring monitoring, and ease of completion of fluid balance charts. Three interventions were deployed on two acute medical awards in consecutive cycles; 1) small group education for staff, 2) creation of board magnets to aid the multidisciplinary team to identify patients requiring monitoring, 3) modification of the current fluid balance chart. Questionnaires were utilised to highlight improvements with current charts and measured staff awareness pre and post education. Each intervention was implemented for one week followed by daily surveys for four days to monitor compliance.Initial results showed a range of 6-12 charts used daily per ward. Of these 0-45% of them were correctly filled. Post education there was a reduced number of inappropriate charts. Introduction of board magnets improved correlation between doctors and nurses in identification of patients (52% before, 77% after magnets). Following modification there was a subjective improvement in the quality of chart completion.This study highlighted that understanding and use of fluid balance monitoring can be improved for nurses, health care assistants (HCAs), and doctors. These improvements allow better documentation and safer patient care. As a result, Milton Keynes University Hospital is investing in magnets and modified charts for a Trust-wide pilot. Problem

Increasing age is an important prognostic variable in glioblastoma (GBM). We have defined the proteomic response in GBM samples from 7 young patients (mean age 36 years) compared to peritumoural-control samples from 10 young patients (mean age 32 years). 2-Dimensional-gel-electrophoresis, image analysis, and protein identification (LC/MS) were performed. 68 proteins were significantly altered in young GBM samples with 29 proteins upregulated and 39 proteins downregulated. Over 50 proteins are described as altered in GBM for the first time. In a parallel analysis in old GBM (mean age 67 years), an excellent correlation could be demonstrated between the proteomic profile in young GBM and that in old GBM patients (r2 = 0.95) with only 5 proteins altered significantly (p < 0.01). The proteomic response in young GBM patients highlighted alterations in protein–protein interactions in the immunoproteosome, NFkB signalling, and mitochondrial function and the same systems participated in the responses in old GBM patients.Electronic supplementary materialThe online version of this article (doi:10.1007/s11060-014-1474-6) contains supplementary material, which is available to authorized users.

IntroductionTreatment on an intensive care unit (ICU) imposes a high treatment burden on patients, as well as an economic burden for the healthcare provider. Many studies have recorded health-related quality of life (HRQoL) in patients after treatment on an ICU. We propose a systematic review of these studies.MethodsWe will search the National Library of Medicine's PubMed electronic database (PubMed), the Cochrane database, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science and Open Grey to identify papers reporting quality of life after discharge from ICU. We will include papers including validated quality of life measures. We will examine three categories: populations of patients treated on general ICUs, patients with severe infections and patients with respiratory dysfunction. We will extract HRQoL data. We will assess papers for risk of bias using the QUADAS-2 tool. The strength of our conclusions will depend on the quality and number of papers showing uniform results.Ethics and disseminationThis review will use published literature and contains no primary data; so we do not need ethical approval. We will submit the outcome of the systematic review to a peer-reviewed journal.Trial registration numberPROSPERO CRD42015024700.