How to early recognize mood disorders in primary care: A nationwide, population-based, cohort study.

BACKGROUND: Mood disorders are managed predominantly in primary care. However, general practitioners' (GPs) ability to detect and diagnose patients with mood disorders is still considered unsatisfactory. The aim of the present study was to identify predictors for the early recognition of depressive disorder (DD) and bipolar disorder (BD) in general practice. METHODS: A cohort of 1,144,622 patients (605,285 women, 539,337 men) was investigated, using the Health Search IMS Health Longitudinal Patient Database. Predictors of DD or BD were identified at baseline encompassing somatization-related features, lifestyle variables, medical and psychiatric comorbidities. Patients were followed up as long as the following events occurred: diagnoses of DD or BD, death, end of the registration with the GP, end of the study period. RESULTS: We found an incidence rate of DD or BD of 53.61 and 1.5 per 10,000 person-years, respectively. For both the conditions, the incidence rate grew with age. Most of the lifestyle variables and medical comorbidities increased the risk of mood disorders. The strongest effect was found for migraine/headache (HR [95% CI]=1.32 [1.26-1.38]), fatigue (1.32 [1.25-1.39]) irritable bowel syndrome (1.15 [1.08-1.23]), and pelvic inflammation disease (1.28 [1.18-1.38]). CONCLUSIONS: Several predictors, in particular somatic symptoms, could be interpreted as an early sign of a mood disorder, and represent a valid indication for the GPs diagnostic process of mental disorders.

Risk of prostate cancer in low-dose aspirin users: A retrospective cohort study.

A growing body of evidence indicates that use of low-dose aspirin (LDA) reduces the risk of certain adenocarcinomas. While there are several and consistent findings on the protective effect of LDA on colorectal and other cancers, few and conflicting evidence is available on prostate cancer (PCa). The aim of this study was to assess whether LDA reduces the incidence rate of PCa. We conducted a nationwide, population-based, retrospective cohort study by using Health Search IMS Health Longitudinal Patient Database (HSD). Patients with ischemic cardio- or cerebrovascular disease (index date) were identified. Time-dependent multivariable Cox proportional hazard models were adopted to estimate Hazard Ratios (HRs) and related 95% confidence intervals (95% CI) of PCa associated with use of LDA. The exposure was lagged by one year to consider the latency of drug effect on the outcome onset. Within a cohort 13,453 patients, the overall incidence rate of PCa was 2.5 per 1,000 person-years. Use of LDA was associated with a decreased incidence rate of PCa (HR = 0.64; 95% CI: 0.48-0.86), which was primarily driven by a frequency of LDA use equal to or higher than twice per week (HR = 0.60; 95% CI: 0.43-0.83). Such an association was more pronounced (HR = 0.43; 95% CI: 0.21-0.91) when LDA was used for five or more years. Our findings indicate that LDA use might be associated with a reduction of risk of PCa in patients with cardio- or cerebrovascular diseases.

Epidemiology of chronic spontaneous urticaria: results from a nationwide, population-based study in Italy.

BACKGROUND: Chronic spontaneous urticaria (CSU) is a common skin disease, but there is a paucity of precise epidemiological data on this disease. OBJECTIVES: To obtain information on the epidemiology of CSU in Italy. METHODS: The data source was the Health Search IMS Health Longitudinal Patient Database. The study population was formed by patients aged ≥ 15 years, registered with a total of 700 general practitioners, homogeneously distributed across Italy. An algorithm based on the International Classification of Diseases, ninth revision, Clinical Modification was used for the identification of patients with CSU. The annual prevalence and incidence rates of CSU over a 12-year period (2002-2013) were estimated, along with demographic and clinical determinants. RESULTS: The annual prevalence of CSU ranged from 0·02% in 2002 to 0·38% in 2013. The incidence was 0·10-1·50 per 1000 person-years. For both prevalence and incidence rates, female patients outnumbered male. The risk of CSU was statistically significantly higher in the presence of the following variables: obesity; anxiety, dissociative and somatoform disorders; malignancies; use of immunosuppressive drugs; and chronic use of systemic corticosteroids. History of autoimmune thyroiditis showed a trend towards an increased risk of CSU, though it was not statistically significant. Smoking was associated with a significantly reduced risk of CSU. CONCLUSIONS: Our findings on CSU prevalence are consistent with those obtained in previous studies. Furthermore, this large population-based study provides important information regarding the association of CSU with demographic and clinical determinants, which have been examined in the primary-care setting.

Allopurinol adherence among patients with gout: an Italian general practice database study.

AIMS: Allopurinol is used as long-term therapy to reduce the occurrence of gout flares. This study estimated the impact of patient adherence to allopurinol on hyperuricaemia (serum uric acid levels, sUA > 6 mg/dl) and the identification of non-adherence predictors. METHODS: The Italian Health Search-CSD Longitudinal Patient Database was accessed to identify outpatients aged ≥ 18 years with gout and prescribed with allopurinol during the years 2002-2011. Patients with a proportion of days covered ≥ 80% were considered adherent to allopurinol. Data on sUA levels over the first year of therapy were categorised in three time-windows (30-89; 90-149; 150-365 days). Logistic regressions were used to estimate the association between adherence and hyperuricaemia, as well as non-adherence predictors. RESULTS: A total of 3727 patients were included. In the interval 0-29 days, the proportion of patients adherent to allopurinol was 45.9%, while up to 89, 149 and 365 days the percentages were 16.7%, 10.0% and 3.2%, respectively. The proportions of hyperuricaemic patients for each time-window were 43.1%, 42.4%, 32.6% and 59.0%, 64.0%, 66.4% among adherent and non-adherent patients, respectively. In the multivariable analysis, adherence was associated with a significant lower risk of hyperuricaemia. The adjusted ORs were 0.49 (95% CI: 0.33-0.73), 0.40 (95% CI: 0.24-0.67) and 0.23 (95% CI: 0.15-0.34) for the first, second and third time-window, respectively. Patients with hypertension (adjusted OR = 0.64, 95% CI: 0.42-0.99) and history of gout flares (adjusted OR = 0.55, 95% CI: 0.32-0.95) were significantly adherent to allopurinol. CONCLUSIONS: Adherence monitoring in patients with gout is pivotal to ensure the effectiveness of therapy. To gain a better patient adherence, the communication between physicians and patients should be improved.

Adult immunization schedule. The general practitioner's perspective and new tools for a better practice.

Vaccine-preventable disease significantly contributes to the morbidity and mortality of adults worldwide. The rates of vaccination against influenza, pneumococcal disease and tetanus in adults and in high-risk group of people are far from the optimal coverage as suggested by Minister of Health. General Practitioners (GPs) can contribute to increase immunization in adults and in elderly people because these age groups attend frequently the surgery of their family doctors for reasons related to their chronic diseases. The GPs, on their side, can proactively involve patients through informatics tools that supply lists of specific patients and electronic alerts in patient records.

Use of personal digital assistant devices in order to access, consult and apply a corpus of clinical guidelines and decision-based support documentation like the Italian SPREAD Guidelines on stroke disease.

During the past few years, personal digital assistants (PDAs) have become widespread commodities, like computers and mobile phones. Many health-care providers, particularly physicians, routinely use PDAs in their everyday work. Accessing guidelines and clinical decision-based support tools, such as the downloadable version of the Italian SPREAD Guidelines represents one of the most important and common clinical applications. The current experience suggests that the need for best evidence models at the time of decision making is strong and that portable accessibility is critical: including just-in-time information systems that allow physicians to retrieve the best evidence at the point of care, and a standardized electronic health record (EHR) easily integrating into daily practice and is affordable to most family physicians.