The aim of this study was to examine the effect of weight loss on health-related quality of life (HRQL) in randomized controlled intervention trials (RCTs). MEDLINE, HealthStar and PsycINFO were searched. RCTs of any weight loss intervention and 20 HRQL instruments were examined. Contingency tables were constructed to examine the association between statistically significant weight loss and statistically significant HRQL improvement within five HRQL categories. In addition, Short Form-36 (SF-36) outcomes were pooled using random-effects models. Fifty-three trials were included. Seventeen studies reported statistically significant weight loss and HRQL improvement. No statistically significant associations between weight loss and HRQL improvement were found in any contingency table. Because of suboptimal endpoint reporting, quantitative data pooling could only be performed using 25% of SF-36 trials in any one model. Significant improvements in physical health were found: mean difference 2.83 points, 95% CI 0.55-5.1, for the physical component score, and mean difference 6.81 points, 95% CI 2.99-10.63, for the physical functioning domain score. Conversely, no significant improvements in mental health were found. No significant association was found between weight loss and overall HRQL improvement. Weight loss may be associated with modest improvements in physical, but not mental, health.

BackgroundGuidelines and experts describe 5% to 10% reductions in body weight as ‘clinically important’; however, it is not clear if 5% to 10% weight reductions correspond to clinically important improvements in health-related quality of life (HRQL). Our objective was to calculate the amount of weight loss required to attain established minimal clinically important differences (MCIDs) in HRQL, measured using three validated instruments.MethodsData from the Alberta Population-based Prospective Evaluation of Quality of Life Outcomes and Economic Impact of Bariatric Surgery (APPLES) study, a population-based, prospective Canadian cohort including 150 wait-listed, 200 medically managed and 150 surgically treated patients were examined. Two-year changes in weight and HRQL measures (Short-Form (SF)-12 physical (PCS; MCID = 5) and mental (MCS; MCID = 5) component summary score, EQ-5D Index (MCID = 0.03) and Visual Analog Scale (VAS; MCID = 10), Impact of Weight on Quality of Life (IWQOL)-Lite total score (MCID = 12)) were calculated. Separate multivariable linear regression models were constructed within medically and surgically treated patients to determine if weight changes achieved HRQL MCIDs. Pooled analysis in all 500 patients was performed to estimate the weight reductions required to achieve the pre-defined MCID for each HRQL instrument.ResultsMean age was 43.7 (SD 9.6) years, 88% were women, 92% were white, and mean initial body mass index was 47.9 (SD 8.1) kg/m2. In surgically treated patients (two-year weight loss = 16%), HRQL MCIDs were reached for all instruments except the SF-12 MCS. In medically managed patients (two-year weight loss = 3%), MCIDs were attained in the EQ-index but not the other instruments. In all patients, percent weight reductions to achieve MCIDs were: 23% (95% confidence interval (CI): 17.5, 32.5) for PCS, 25% (17.5, 40.2) for MCS, 9% (6.2, 15.0) for EQ-Index, 23% (17.3, 36.1) for EQ-VAS, and 17% (14.1, 20.4) for IWQOL-Lite total score.ConclusionsWeight reductions to achieve MCIDs for most HRQL instruments are markedly higher than the conventional threshold of 5% to 10%. Surgical, but not medical treatment, consistently led to clinically important improvements in HRQL over two years.Trial registrationClinicaltrials.gov NCT00850356.Electronic supplementary materialThe online version of this article (doi:10.1186/s12916-014-0175-5) contains supplementary material, which is available to authorized users.

We identified risk assessment tools that can improve surgical risk assessment in elderly surgical patients. The majority of the identified tools are not commonly used for pre-operative risk assessment. NSQIP-PMP, mFI and SURPAS are promising tools. Age is commonly used to predict risk, but frailty may be a more appropriate measure.

IMPORTANCE Older adults, especially those with frailty, have a higher risk for complications and death after emergency surgery. Acute Care for the Elderly models have been successful in medical wards, but little evidence is available for patients in surgical wards.OBJECTIVES To develop and assess the effect of an Elder-Friendly Approaches to the Surgical Environment (EASE) model in an emergency surgical setting. DESIGN, SETTING, AND PARTICIPANTSThis prospective, nonrandomized, controlled before-and-after study included patients 65 years or older who presented to the emergency general surgery service of 2 tertiary care hospitals in Alberta, Canada. Transfers from other medical services, patients undergoing elective surgery or with trauma, and nursing home residents were excluded. Of 6795 patients screened, a total of 684 (544 in the nonintervention group and 140 in the intervention group) were included. Data were collected from