Implementation of a Multiplex rRT-PCR for Zika, Chikungunya, and Dengue Viruses: Improving Arboviral Detection in an Endemic Region.

Arboviral diagnosis has been complicated throughout the tropical and subtropical Americas by the recent co-circulation of Zika virus (ZIKV), chikungunya virus (CHIKV), and dengue virus (DENV). The aim of this study was to implement a multiplex real-time RT-PCR (rRT-PCR) for ZIKV, CHIKV, and DENV in Paraguay to test patients who were clinically suspected of having dengue. We tested 110 sera from patients who presented to the Hospital de Clínicas in 2016 and had testing for DENV nonstructural protein 1 (NS1; 40 positive and 70 negative). Using a composite reference standard, we confirmed 51 dengue cases (46.4%): 38/40 NS1 positive and 13/70 NS1 negative. Chikungunya virus and ZIKV were detected in one sample each, both were DENV NS1 negative. The NS1 test demonstrated good agreement with rRT-PCR for DENV. However, multiplex rRT-PCR identified a subset of dengue cases and additional arboviral infections that would not be detected if NS1 assays are relied upon for diagnosis.

Cost-effectiveness of antidepressants versus active monitoring for mild-to-moderate major depressive disorder: a multisite non-randomized-controlled trial in primary care (INFAP study).

BACKGROUND: The purpose of this study was to evaluate the cost-effectiveness of antidepressants vs active monitoring (AM) for patients with mild-moderate major depressive disorder. METHODS: This was a 12-month observational prospective controlled trial. Adult patients with a new episode of major depression were invited to participate and assigned to AM or antidepressants according to General Practitioners' clinical judgment and experience. Patients were evaluated at baseline, and 6 and 12-month follow-up. Quality-adjusted life years (QALYs) gained were estimated and used to calculate incremental cost-utility ratios (ICUR) from the healthcare and government perspective. To minimize the bias resulting from non-randomization, a propensity score-based method was used. RESULTS: At 6 and 12-month follow-up, ICUR was 2549 €/QALY and 6,142 €/QALY, respectively, in favor of antidepressants. At 6 months, for a willingness to pay (WTP) of 25,000 €/QALY, antidepressants had a probability of 0.89 (healthcare perspective) and 0.81 (government perspective) of being more cost-effective than AM. At 12 months, this probability was 0.86 (healthcare perspective) and 0.73 (government perspective). CONCLUSIONS: Incremental cost-utility ratios favor pharmacological treatment as a first-line approach for patients with mild-moderate major depressive disorder. While our results should be interpreted with caution and further real world research is needed, clinical practice guidelines should consider antidepressant therapy for mild-moderate major depressive patients as an alternative to active monitoring in PC.

Diagnostic accuracy and treatment approach to depression in primary care: predictive factors.

Objective: The study assessed the predictive factors of diagnostic accuracy and treatment approach (antidepressants versus active monitoring) for depression in primary care. Methods: This is a cross-sectional study that uses information from a naturalistic prospective controlled trial performed in Barcelona (Spain) enrolling newly diagnosed patients with mild to moderate depression by GPs. Treatment approach was based on clinical judgement. Diagnosis was later assessed according to DSM-IV criteria using Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) interview by an external researcher. Patients (sociodemographic, psychiatric diagnosis, severity of depression and anxiety, health-related quality of life, disability, beliefs about medication and illness and comorbidities) and GP factors associated with diagnostic accuracy and treatment approach were assessed using multilevel logistic regression. Variables with missing data were imputed through multiple imputations. Results: Two hundred sixty-three patients were recruited by 53 GPs. Mean age was 51 years (SD = 15). Thirty percent met DSM-IV criteria for major depression. Mean depression symptomatology was moderate-severe. Using multivariate analyses, patients' beliefs about medicines were the only variable associated with the antidepressant approach. Specialization in general medicine and being a resident tutor were associated with a more accurate diagnosis. Conclusions: Clinical depression diagnosis by GPs was not always associated with a formal diagnosis through a SCID-I. GPs' training background was central to an adequate depression diagnosis. Patients' beliefs in medication were the only factor associated with treatment approach. More resources should be allocated to improving the diagnosis of depression.

Impact of initial medication non-adherence to SSRIs on medical visits and sick leaves.

BACKGROUND: Initial medication non-adherence (IMNA) to antidepressants, which are commonly used to treat depression in primary care (PC), is around 6-12%. Although it is well known that post-initial non-adherence to antidepressants increases the cost of depression, the impact of IMNA on cost is unknown. The aim of this study is to assess the impact of IMNA to Selective Serotonin Reuptake Inhibitors (SSRI) on medical visits and sick leave in patients with depression treated in PC in Catalonia (Spain). METHODS: This was a four-year retrospective register-based study (2011-2014). All PC patients of working age who received a new SSRI prescription and had a diagnosis of depression were included (N = 79,642). Treatment initiation, number of visits and days on sick leave were gathered from the database. We assessed the impact of IMNA on costs with ordered logistic regressions. RESULTS: The 3-year incidence of IMNA was 15%. Initially non-adherent patients made a lesser number of GP visits (OR = 0.82; 95% CI = 0.79-0.84) but had more days on sick leave (OR = 1.25; 95% CI = 1.20-1.31). There were no differences in the number of specialist visits (OR = 1.04; 95% CI = 0.99-1.08). LIMITATIONS: Differences between adherent and non-adherent patients could be explained by non-observed variables. GP recognition and documentation of depression might be inaccurate. Costs of unpaid work and use of hospital services were not considered. CONCLUSIONS: Although IMNA decreases the use of medical PC services, it increases the number of days on sick leave. This could also indicate worse health status. These consequences are currently overlooked when considering post-initial medication non-adherence.