Evaluating enhanced recovery after surgery: time to cover new ground and discover the missing patient voice

Multicomponent peri-operative interventions offer to accelerate patient recovery and improve cost-effectiveness. The recent National Institute of Health Research-commissioned evidence synthesis review by Nunns et al. considers the effectiveness and cost-effectiveness of all types of multicomponent interventions for older adults undergoing elective inpatient surgery. Enhanced recovery programmes (ERPs) were the most commonly evaluated intervention. An association between ERPs and decreased length of stay was observed, whilst complication rates and time to recovery were static or sometimes reduced. Important areas which lack research in the context of ERPs are patient-reported outcome measures, patients with complex needs and assessment of factors pertaining to successful ERP implementation. The next generation of ERP studies should seek to develop our understanding in these key areas

Multicomponent hospital-led interventions to reduce hospital stay for older adults following elective surgery: a systematic review

BackgroundElective older adult inpatient admissions are increasingly common. Older adults are at an elevated risk of adverse events in hospital, potentially increasing with lengthier hospital stay. Hospital-led organisational strategies may optimise hospital stay for elective older adult inpatients.ObjectivesTo evaluate the effectiveness and cost-effectiveness of hospital-led multicomponent interventions to reduce hospital stay for older adults undergoing elective hospital admissions.Data sourcesSeven bibliographic databases (MEDLINE, MEDLINE In-Process &amp; Other Non-Indexed Citations, EMBASE, Health Management Information Consortium, Cochrane Central Register of Controlled Trials, Cumulative Index to Nursing and Allied Health Literature and Allied and Complementary Medicine Database) were searched from inception to date of search (August 2017), alongside carrying out of web searches, citation searching, inspecting relevant reviews, consulting stakeholders and contacting authors. This search was duplicated, with an additional cost-filter, to identify cost-effectiveness evidence.Review methodsComparative studies were sought that evaluated the effectiveness or cost-effectiveness of relevant interventions in elective inpatients with a mean or median age of ≥ 60 years. Study selection, data extraction and quality assessment were completed independently by two reviewers. The main outcome was length of stay, but all outcomes were considered. Studies were sorted by procedure, intervention and outcome categories. Where possible, standardised mean differences or odds ratios were calculated. Meta-analysis was performed when multiple randomised controlled trials had the same intervention, treatment procedure, comparator and outcome. Findings were explored using narrative synthesis.FindingsA total of 218 articles were included, with 80 articles from 73 effectiveness studies (n = 26,365 patients) prioritised for synthesis, including 34 randomised controlled trials conducted outside the UK and 39 studies from the UK, of which 12 were randomised controlled trials. Fifteen studies included cost-effectiveness data. The evidence was dominated by enhanced recovery protocols and prehabilitation, implemented to improve recovery from either colorectal surgery or lower limb arthroplasty. Six other surgical categories and four other intervention types were identified. Meta-analysis found that enhanced recovery protocols were associated with 1.5 days’ reduction in hospital stay among patients undergoing colorectal surgery (Cohen’sd = –0.51, 95% confidence interval –0.78 to –0.24;p &lt; 0.001) and with 5 days’ reduction among those undergoing upper abdominal surgery (Cohen’sd = –1.04, 95% confidence interval –1.55 to –0.53;p &lt; 0.001). Evidence from the UK was not pooled (owing to mixed study designs), but it echoed findings from the international literature. Length of stay usually was reduced with intervention or was no different. Other clinical outcomes also improved or were no worse with intervention. Patient-reported outcomes were not frequently reported. Cost and cost-effectiveness evidence came from 15 highly heterogeneous studies and was less conclusive.LimitationsStudies were usually of moderate or weak quality. Some intervention or treatment types were under-reported or absent. The reporting of variance data often precluded secondary analysis.ConclusionsEnhanced recovery and prehabilitation interventions were associated with reduced hospital stay without detriment to other clinical outcomes, particularly for patients undergoing colorectal surgery, lower limb arthroplasty or upper abdominal surgery. The impacts on patient-reported outcomes, health-care costs or additional service use are not well known.Future workFurther studies evaluating of the effectiveness of new enhanced recovery pathways are not required in colorectal surgery or lower limb arthroplasty. However, the applicability of these pathways to other procedures is uncertain. Future studies should evaluate the implementation of interventions to reduce service variation, in-hospital patient-reported outcomes, impacts on health and social care service use, and longer-term patient-reported outcomes.Study registrationThis study is registered as PROSPERO CRD42017080637.FundingThe National Institute for Health Research Health Services and Delivery Research programme.</jats:sec

A Bayesian method for evaluating and discovering disease loci associations

Background: A genome-wide association study (GWAS) typically involves examining representative SNPs in individuals from some population. A GWAS data set can concern a million SNPs and may soon concern billions. Researchers investigate the association of each SNP individually with a disease, and it is becoming increasingly commonplace to also analyze multi-SNP associations. Techniques for handling so many hypotheses include the Bonferroni correction and recently developed Bayesian methods. These methods can encounter problems. Most importantly, they are not applicable to a complex multi-locus hypothesis which has several competing hypotheses rather than only a null hypothesis. A method that computes the posterior probability of complex hypotheses is a pressing need. Methodology/Findings: We introduce the Bayesian network posterior probability (BNPP) method which addresses the difficulties. The method represents the relationship between a disease and SNPs using a directed acyclic graph (DAG) model, and computes the likelihood of such models using a Bayesian network scoring criterion. The posterior probability of a hypothesis is computed based on the likelihoods of all competing hypotheses. The BNPP can not only be used to evaluate a hypothesis that has previously been discovered or suspected, but also to discover new disease loci associations. The results of experiments using simulated and real data sets are presented. Our results concerning simulated data sets indicate that the BNPP exhibits both better evaluation and discovery performance than does a p-value based method. For the real data sets, previous findings in the literature are confirmed and additional findings are found. Conclusions/Significance: We conclude that the BNPP resolves a pressing problem by providing a way to compute the posterior probability of complex multi-locus hypotheses. A researcher can use the BNPP to determine the expected utility of investigating a hypothesis further. Furthermore, we conclude that the BNPP is a promising method for discovering disease loci associations. © 2011 Jiang et al

An investigation of the effects of lipid-lowering medications: genome-wide linkage analysis of lipids in the HyperGEN study

BACKGROUND: Use of anti-hyperlipidemic medications compromises genetic analysis because of altered lipid profiles. We propose an empirical method to adjust lipid levels for medication effects so that the adjusted lipid values substitute the unmedicated lipid values in the genetic analysis. RESULTS: Published clinical trials were reviewed for HMG-CoA reductase inhibitors and fibric acid derivatives as mono-drug therapy. HMG-CoA reductase inhibitors showed similar effects in African Americans (AA) and non-African Americans (non-AA) for lowering total cholesterol (TC, -50.7 mg/dl), LDL cholesterol (LDL-C, -48.1 mg/dl), and triglycerides (TG, -19.7 mg/dl). Their effect on increasing HDL cholesterol (HDL-C) in AA (+0.4 mg/dl) was lower than in Non-AA (+2.3 mg/dl). The effects of fibric acid derivatives were estimated as -46.1 mg/dl for TC, -40.1 mg/dl for LDL-C, and +5.9 mg/dl for HDL-C in non-AA. The corresponding effects in AA were less extreme (-20.1 mg/dl, -11.4 mg/dl, and +3.1 mg/dl). Similar effect for TG (59.0 mg/dl) was shown in AA and non-AA. The above estimated effects were applied to a multipoint variance components linkage analysis on the lipid levels in 2,403 Whites and 2,214 AA in the HyperGEN study. The familial effects did vary depending on whether the lipids were adjusted for medication use. For example, the heritabilities increased after medication adjustment for TC and LDL-C, but did not change significantly for HDL-C and TG. CONCLUSION: Ethnicity-specific medication adjustments using our empirical method can be employed in epidemiological and genetic analysis of lipids.National Heart, Lung, and Blood Institute (HL554471, HL54472, HL54473, HL54495, HL54496, HL54497, HL54509, HL54515

Evaluating enhanced recovery after surgery: time to cover new ground and discover the missing patient voice

AbstractMulticomponent peri-operative interventions offer to accelerate patient recovery and improve cost-effectiveness. The recent National Institute of Health Research-commissioned evidence synthesis review by Nunns et al. considers the effectiveness and cost-effectiveness of all types of multicomponent interventions for older adults undergoing elective inpatient surgery. Enhanced recovery programmes (ERPs) were the most commonly evaluated intervention. An association between ERPs and decreased length of stay was observed, whilst complication rates and time to recovery were static or sometimes reduced. Important areas which lack research in the context of ERPs are patient-reported outcome measures, patients with complex needs and assessment of factors pertaining to successful ERP implementation. The next generation of ERP studies should seek to develop our understanding in these key areas.</jats:p

c-erbB2 and topoisomerase IIα protein expression independently predict poor survival in primary human breast cancer: a retrospective study

INTRODUCTION: c-erbB2 (also known as HER-2/neu) and topoisomerase IIα are frequently overexpressed in breast cancer. The aim of the study was to analyze retrospectively whether the expression of c-erbB2 and topoisomerase IIα protein influences the long-term outcome of patients with primary breast cancer. METHODS: In this study c-erbB2 and topoisomerase IIα protein were evaluated by immunohistochemistry in formalin-fixed paraffin-embedded tissue from 225 samples of primary breast cancer, obtained between 1986 and 1998. The prognostic value of these markers was analyzed. RESULTS: Of 225 primary breast tumor samples, 78 (34.7%) showed overexpression of either c-erbB2 (9.8%) or topoisomerase IIα protein (24.9%), whereas in 21 tumors (9.3%) both proteins were found to be overexpressed. Patients lacking both c-erbB2 and topoisomerase IIα overexpression had the best long-term survival. Overexpression of either c-erbB2 or topoisomerase IIα was associated with shortened survival, whereas patients overexpressing both c-erbB2 and topoisomerase IIα showed the worst disease outcome (P < 0.0001). Treatment with anthracyclines was not capable of reversing the negative prognostic impact of topoisomerase IIα or c-erbB2 overexpression. CONCLUSION: The results of this exploratory study suggest that protein expression of c-erbB2 and topoisomerase IIα in primary breast cancer tissues are independent prognostic factors and are not exclusively predictive factors for anthracycline response in patients with primary breast cancer

Molecular subtypes of breast cancer and amplification of topoisomerase IIα: predictive role in dose intensive adjuvant chemotherapy

Benefit from chemotherapy treatment in breast cancer patients is determined by the molecular make-up of the tumour. In a retrospective analysis, we determined the molecular subtypes of breast cancer originally defined by expression microarrays by immunohistochemistry in tumours of patients who took part in a randomised study of adjuvant high-dose chemotherapy in breast cancer. In addition, the topoisomerase IIα (TOP2A) amplification status was determined by fluorescence in situ hybridisation and chromogenic in situ hybridisation. 411 of the 753 tumours (55%) were classified as luminal-like, 137 (18%) as basal-like and 205 (27%) as human epithelial receptor type 2 (HER2) amplified. The basal-like tumours were defined as having no expression of ER and HER2; 98 of them did express epidermal growth factor receptor and/or cytokeratin 5/6. The luminal-like tumours had a significantly better recurrence free and overall survival than the other two groups. From the 194 HER2-positive tumours, 47 (24%) were shown to harbour an amplification of TOP2A. Patients with an HER2-amplified tumour randomised to the high-dose therapy arm did worse than those in the conventional treatment arm, possibly caused by the lower cumulative anthracycline dose in the high-dose arm. The tumours with a TOP2A amplification contributed hardly to this difference, suggesting that TOP2A amplification is not the cause of the steep dose–response curve for anthracyclines in breast cancer. Possibly, the difference of the cumulative dose of only 25% between the treatment arms was insufficient to yield a survival difference

Genome wide analysis of gene expression changes in skin from patients with type 2 diabetes

Non-healing chronic ulcers are a serious complication of diabetes and are a major healthcare problem. While a host of treatments have been explored to heal or prevent these ulcers from forming, these treatments have not been found to be consistently effective in clinical trials. An understanding of the changes in gene expression in the skin of diabetic patients may provide insight into the processes and mechanisms that precede the formation of non-healing ulcers. In this study, we investigated genome wide changes in gene expression in skin between patients with type 2 diabetes and non-diabetic patients using next generation sequencing. We compared the gene expression in skin samples taken from 27 patients (13 with type 2 diabetes and 14 non-diabetic). This information may be useful in identifying the causal factors and potential therapeutic targets for the prevention and treatment of diabetic related diseases