To estimate the prevalence of metabolic syndrome (MS) in a population receiving attention in primary care centers (PCC) we selected a random cohort of ostensibly normal subjects from the registers of 5 basic-health area (BHA) PCC. Diagnosis of MS was with the WHO, NCEP and IDF criteria. Variables recorded were: socio-demographic data, CVD risk factors including lipids, obesity, diabetes, blood pressure and smoking habit and a glucose tolerance test outcome. Of the 720 individuals selected (age 60.3 ± 11.5 years), 431 were female, 352 hypertensive, 142 diabetic, 233 pre-diabetic, 285 obese, 209 dyslipemic and 106 smokers. CVD risk according to the Framingham and REGICOR calculation was 13.8 ± 10% and 8.8 ± 9.8%, respectively. Using the WHO, NCEP and IDF criteria, MS was diagnosed in 166, 210 and 252 subjects, respectively and the relative risk of CVD complications in MS subjects was 2.56. Logistic regression analysis indicated that the MS components (WHO set), the MS components (IDF set) and the female gender had an increased odds ratio for CVD of 3.48 (95CI%: 2.26-5.37), 2.28 (95%CI: 1.84-4.90) and 2.26 (95%CI: 1.48-3.47), respectively. We conclude that MS and concomitant CVD risk is high in ostensibly normal population attending primary care clinics, and this would necessarily impinge on resource allocation in primary care.
BackgroundChronic musculoskeletal pain and depression are very common in primary care patients. Furthermore, they often appear as comorbid conditions, resulting in additive effect on adverse health outcomes. On the basis of previous studies, we hypothesise that depression and chronic musculoskeletal pain may benefit from an integrated management programme at primary care level. We expect positive effects on both physical and psychological distress of patients.MethodsObjective: To determine whether a new programme for an integrated approach to chronic musculoskeletal pain and depression leads to better outcomes than usual care.Design: Cluster-randomised controlled trial involving two arms: a) control arm (usual care); and b) intervention arm, where patients participate in a programme for an integrated approach to the pain-depression dyad.Settings: Primary care centres in the province of Tarragona, Catalonia, Spain,Participants: We will recruit 330 patients aged 18–80 with moderate or severe musculoskeletal pain (Brief Pain Inventory, average pain subscale ≥5) for at least 3 months, and with criteria for major depression (DSM-IV).Intervention: A multicomponent programme according to the chronic care model. The main components are care management, optimised antidepressant treatment, and a psychoeducational group action.Blind measurements: The patients will be monitored through blind telephone interviews held at 0, 3, 6 and 12 months.Outcomes: Severity of pain and depressive symptoms, pain and depression treatment response rates, and depression remission rates.Analysis: The outcomes will be analysed on an intent-to-treat basis and the analysis units will be the individual patients. This analysis will consider the effect of the study design on any potential lack of independence between observations made within the same cluster.Ethics: The protocol was approved by the Research Ethics Committee of the Jordi Gol Primary Care Research Institute (IDIAP), Barcelona, (P14/142).DiscussionThis project strengthens and improves treatment approaches for a major comorbidity in primary care. The design of the intervention takes into account its applicability under typical primary care conditions, so that if the programme is found to be effective it will be feasible to apply it in a generalised manner.Trial registrationClinicalTrials.gov: NCT02605278; Registered 28 September, 2015.
Background: Most depressed patients are attended at primary care. However, there are significant shortcomings in the diagnosis, management and outcomes of these patients. The aim of this study is to determine whether the implementation of a structured programme for managing depression will provide better health outcomes than usual management.
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