Helen P Booth

Overtreatment of COPD with Inhaled Corticosteroids - Implications for Safety and Costs: Cross-Sectional Observational Study

Introduction Combined inhaled long-acting beta-agonists and corticosteroids (LABA+ICS) are costly. They are recommended in severe or very severe chronic obstructive pulmonary disease (COPD). They should not be prescribed in mild or moderate disease. In COPD ICS are associated with side-effects including risk of pneumonia. We quantified appropriateness of prescribing and examined the risks and costs associated with overuse. Methods Data were extracted from the electronic and paper records of 41 London general practices (population 310,775) including spirometry, medications and exacerbations. We classified severity, assessed appropriateness of prescribing using the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines for 2009, and performed a sensitivity analysis using the broader recommendations of the 2011 revision. Results 3537 patients had a diagnosis of COPD. Spirometry was recorded for 2458(69%). 709(29%) did not meet GOLD criteria. 1749(49%) with confirmed COPD were analysed: 8.6% under-treated, 38% over-treated. Over-prescription of ICS in GOLD stage I or II (n=403, 38%) and in GOLD III or IV without exacerbations (n=231, 33.6%) was common. An estimated 12 cases (95%CI 7-19) annually of serious pneumonia were likely among 897 inappropriately treated. 535 cases of overtreatment involved LABA+ICS with a mean per patient cost of £553.56/year (€650.03). Using the broader indications for ICS in the 2011 revised GOLD guideline 25% were still classified as over-treated. The estimated risk of 15 cases of pneumonia (95%CI 8-22) in 1074 patients currently receiving ICS would rise by 20% to 18 (95%CI 9.8-26.7) in 1305 patients prescribed ICS if all with GOLD grade 3 and 4 received LABA+ICS. Conclusion Over-prescription of ICS in confirmed COPD was widespread with considerable potential for harm. In COPD where treatment is often escalated in the hope of easing the burden of disease clinicians should consider both the risks and benefits of treatment and the costs where the benefits are unproven.

Effectiveness of behavioural weight loss interventions delivered in a primary care setting: a systematic review and meta-analysis.

Background. Overweight and obesity have negative health effects. Primary care clinicians are best placed to intervene in weight management. Previous reviews of weight loss interventions have included studies from specialist settings. The aim of this review was to estimate the effect of behavioural interventions delivered in primary care on body weight in overweight and obese adults. Methods. The review included randomized controlled trials (RCTs) of behavioural interventions in obese or overweight adult participants in a primary care setting, with weight loss as the primary outcome, and a minimum of 12 months of follow-up. A systematic search strategy was implemented in Medline, Embase, Web of Science and the Cochrane Central Registry of Controlled Trials. Risk of bias was assessed using the Cochrane Risk of Bias tool and behavioural science components of interventions were evaluated. Data relating to weight loss in kilograms were extracted, and the results combined using meta-analysis. Results. Fifteen RCTs, with 4539 participants randomized, were selected for inclusion. The studies were heterogeneous with respect to inclusion criteria and type of intervention. Few studies reported interventions informed by behavioural science theory. Pooled results from meta-analysis indicated a mean weight loss of −1.36kg (−2.10 to −0.63, P < 0.0001) at 12 months, and −1.23kg (−2.28 to −0.18, P = 0.002) at 24 months. Conclusion. Behavioural weight loss interventions in primary care yield very small reductions in body weight, which are unlikely to be clinically significant. More effective management strategies are needed for the treatment of overweight and obesity.

Impact of body mass index on prevalence of multimorbidity in primary care: cohort study

Background. Multimorbidity is the co-occurrence of long-term conditions. Obesity is associated with an increased risk of long-term conditions including type 2 diabetes and depression. Objective. To quantify the association between body mass index (BMI) category and multimorbidity in a large cohort registered in primary care. Methods. The sample comprised primary care electronic health records of adults aged ≥30 years, sampled from the Clinical Practice Research Datalink between 2005 and 2011. Multimorbidity was defined as the co-occurrence of ≥2 of 11 conditions affecting seven organ systems. Age- and sex-standardized prevalence of multimorbidity was estimated by BMI category. Adjusted odds ratios associating BMI with additional morbidity were estimated adjusting for socioeconomic deprivation and smoking. Results. The sample comprised 300 006 adults. After excluding participants with BMI never recorded, data were analysed for 223 089 (74%) contributing 1 374 109 person–years. In normal weight men, the standardized prevalence of multimorbidity was 23%, rising to 27% in overweight, 33% in category I obesity, 38% in category II and 44% in category III obesity. In women, the corresponding values were 28%, 34%, 41%, 45% and 51%. In category III obesity, the adjusted odds, relative to normal BMI, were 2.24 (2.13–2.36) for a first condition; 2.63 (2.51–2.76) for a second condition and 3.09 (2.92–3.28) for three or more conditions. In a cross-sectional analysis, 32% of multimorbidity was attributable to overweight and obesity. Conclusions. Multiple morbidity is highly associated with increasing BMI category and obesity, highlighting the potential for targeted primary and secondary prevention interventions in primary care.

Access to weight reduction interventions for overweight and obese patients in UK primary care: population-based cohort study

Objectives To investigate access to weight management interventions for overweight and obese patients in primary care. Setting UK primary care electronic health records. Participants A cohort of 91 413 overweight and obese patients aged 30–100 years was sampled from the Clinical Practice Research Datalink (CPRD). Patients with body mass index (BMI) values ≥25 kg/m2 recorded between 2005 and 2012 were included. BMI values were categorised using WHO criteria. Interventions Interventions for body weight management, including advice, referrals and prescription of antiobesity drugs, were evaluated. Primary and secondary outcome measures The rate of body weight management interventions and time to intervention were the main outcomes. Results Data were analysed for 91 413 patients, mean age 56 years, including 55 094 (60%) overweight and 36 319 (40%) obese, including 4099 (5%) with morbid obesity. During the study period, 90% of overweight patients had no weight management intervention recorded. Intervention was more frequent among obese patients, but 59% of patients with morbid obesity had no intervention recorded. Rates of intervention increased with BMI category. In morbid obesity, rates of intervention per 1000 patient years were: advice, 60.2 (95% CI 51.8 to 70.4); referral, 75.7 (95% CI 69.5 to 82.6) and antiobesity drugs 89.9 (95% CI 85.0 to 95.2). Weight management interventions were more often accessed by women, older patients, those with comorbidity and those in deprivation. Follow-up of body weight subsequent to interventions was infrequent. Conclusions Limited evidence of weight management interventions in primary care electronic health records may result from poor recording of advice given, but may indicate a lack of patient access to appropriate body weight management interventions in primary care.

Incidence of type 2 diabetes after bariatric surgery: population-based matched cohort study

BACKGROUND The effect of currently used bariatric surgical procedures on the development of diabetes in obese people is not well defined. We aimed to assess the effect of bariatric surgery on development of type 2 diabetes in a large population of obese individuals. METHODS We did a matched cohort study of adults (age 20–100 years) identified from a UK-wide database of family practices, who were obese (BMI ≥30 kg/m2) and did not have diabetes. We enrolled 2167 patients who had undergone bariatric surgery between Jan 1, 2002, and April 30, 2014, and matched them--according to BMI, age, sex, index year, and HbA1c--with 2167 controls who had not had surgery. Procedures included laparoscopic gastric banding (n=1053), gastric bypass (795), and sleeve gastrectomy (317), with two procedures undefined. The primary outcome was development of clinical diabetes, which we extracted from electronic health records. Analyses were adjusted for matching variables, comorbidity, cardiovascular risk factors, and use of antihypertensive and lipid-lowering drugs. FINDINGS During a maximum of 7 years of follow-up (median 2·8 years [IQR 1·3–4·5]), 38 new diagnoses of diabetes were made in bariatric surgery patients and 177 were made in controls. By the end of 7 years of follow-up, 4·3% (95% CI 2·9–6·5) of bariatric surgery patients and 16·2% (13·3–19·6) of matched controls had developed diabetes. The incidence of diabetes diagnosis was 28·2 (95% CI 24·4–32·7) per 1000 person-years in controls and 5·7 (4·2–7·8) per 1000 person-years in bariatric surgery patients; the adjusted hazard ratio was 0·20 (95% CI 0·13–0·30, p<0·0001). This estimate was robust after varying the comparison group in sensitivity analyses, excluding gestational diabetes, or allowing for competing mortality risk. INTERPRETATION Bariatric surgery is associated with reduced incidence of clinical diabetes in obese participants without diabetes at baseline for up to 7 years after the procedure. FUNDING UK National Institute for Health Research.

Validity of smoking prevalence estimates from primary care electronic health records compared with national population survey data for England, 2007 to 2011

Primary care electronic health records (EHRs) are increasingly used as a resource for epidemiological research. Cigarette smoking is an important variable in many epidemiological studies. We evaluated the validity of smoking records in primary care EHRs by comparing estimates for smoking prevalence from primary care EHRs with national health survey data.

Estimating the yield of NHS Health Checks in England: a population-based cohort study

BACKGROUND This study aimed to evaluate the yield of the NHS Health Checks programme. METHODS A cohort study, conducted in the Clinical Practice Research Datalink in England. Electronic health records were analysed for patients aged 40-74 receiving an NHS Health Check between 2010 and 2013. RESULTS There were 65 324 men and 75 032 women receiving a health check. For every 1000 men assessed, there were 205 smokers (95% confidence interval 195-215), 355 (340-369) with hypertension (≥140/90 mmHg) and 633 (607-658) with elevated cholesterol (≥5 mmol/l). Among 1000 women, there were 161 (151-171) smokers, 247 (238-257) with hypertension and 668 (646-689) with elevated cholesterol. In the 12 months following the check, statins were prescribed to 18% of men and 21% of women with ≥20% cardiovascular risk and antihypertensive drugs to 11% of men and 16% of women with ≥20% cardiovascular risk. Slight reductions in risk factor values were observed in the minority of participants with follow-up values recorded in the 15 months following the check. CONCLUSIONS A universal primary prevention programme identifies substantial risk factor burden in a population without known cardiovascular disease. Research is needed to monitor interventions, and intermediate- and long-term outcomes, in those identified at high risk.

Are healthcare costs from obesity associated with body mass index, comorbidity or depression? Cohort study using electronic health records

The objective of this study was to evaluate the association between body mass index (BMI) and healthcare costs in relation to obesity‐related comorbidity and depression. A population‐based cohort study was undertaken in the UK Clinical Practice Research Datalink (CPRD). A stratified random sample was taken of participants registered with general practices in England in 2008 and 2013. Person time was classified by BMI category and morbidity status using first diagnosis of diabetes (T2DM), coronary heart disease (CHD), stroke or malignant neoplasms. Participants were classified annually as depressed or not depressed. Costs of healthcare utilization were calculated from primary care records with linked hospital episode statistics. A two‐part model estimated predicted mean annual costs by age, gender and morbidity status. Linear regression was used to estimate the effects of BMI category, comorbidity and depression on healthcare costs. The analysis included 873 809 person‐years (62% female) from 250 046 participants. Annual healthcare costs increased with BMI, to a mean of £456 (95% CI 344–568) higher for BMI ≥40 kg m−2 than for normal weight based on a general linear model. After adjusting for BMI, the additional cost of comorbidity was £1366 (£1269–£1463) and depression £1044 (£973–£1115). There was evidence of interaction so that as the BMI category increased, additional costs of comorbidity (£199, £74–£325) or depression (£116, £16–£216) were greater. High healthcare costs in obesity may be driven by the presence of comorbidity and depression. Prioritizing primary prevention of cardiovascular disease and diabetes in the obese population may contribute to reducing obesity‐related healthcare costs.

Impact of bariatric surgery on clinical depression. Interrupted time series study with matched controls

BACKGROUND Obesity is associated with depression. This study aimed to evaluate whether clinical depression is reduced after bariatric surgery (BS). METHODS Obese adults who received BS procedures from 2002 to 2014 were sampled from the UK Clinical Practice Research Datalink. An interrupted time series design, with matched controls, was conducted from three years before, to a maximum of seven years after surgery. Controls were matched for body mass index (BMI), age, gender and year of procedure. Clinical depression was defined as a medical diagnosis recorded in year, or an antidepressant prescribed in year to a participant ever diagnosed with depression. Adjusted odds ratios (AOR) were estimated. RESULTS There were 3045 participants (mean age 45.9; mean BMI 44.0kg/m(2)) who received BS, including laparoscopic gastric banding in 1297 (43%), gastric bypass in 1265 (42%), sleeve gastrectomy in 477 (16%) and six undefined. Before surgery, 36% of BS participants, and 21% of controls, had clinical depression; between-group AOR, 2.02, 95%CI 1.75-2.33, P<0.001. In the second post-operative year 32% had depression; AOR, compared to time without surgery, 0.83 (0.76-0.90, P<0.001). By the seventh year, the prevalence of depression increased to 37%; AOR 0.99 (0.76-1.29, P=0.959). LIMITATIONS Despite matching there were differences in depression between BS and control patients, representing the highly selective nature of BS. CONCLUSIONS Depression is frequent among individuals selected to undergo bariatric surgery. Bariatric surgery may be associated with a modest reduction in clinical depression over the initial post-operative years but this is not maintained.

Epidemiology of clinical body mass index recording in an obese population in primary care: a cohort study

BACKGROUND Protecting and promoting the health of obese people is an important public health concern. This study evaluated the recording of body mass index and medical diagnostic codes for obesity in obese patients in UK primary care. METHODS A cohort study was implemented in the UK General Practice Research Database. Subjects were aged 18-100 years and were diagnosed with obesity between 1997 and 2007. The frequency of obesity monitoring was evaluated. RESULTS There were 67 000 obese patients at 127 family practices. The proportion of obese patients with no annual body mass index (BMI) record reached 65% of men and 63% of women in 2000, declining to 55 and 48% in 2009. Medical diagnostic codes for obesity were infrequently recorded. The mean BMI of obese patients increased to 35.5 kg/m(2) [95% confidence interval (CI): 35.4-35.7] in men and 37.0 kg/m(2) (95% CI: 36.9-37.1) in women by 2009. In 2009, 37% of obese men with BMI records, and 39% of women, showed a BMI increase of ≥1 kg/m(2) since the previous reading. CONCLUSIONS Obese patients do not have BMI values recorded regularly. The mean BMI of obese patients, and the proportion gaining weight over time, is increasing. Improved strategies for monitoring and managing obesity are required.