Marshfisher3220

167, 95% CI 1.061-1.284, P=0.001; ACC adjusted OR 1.125, 95% CI 1.044-1.213, P=0.002). The association can be explained by a significant correlation of baseline SUA with the BP in the following year (r=0.24, P<0.001 for baseline SUA and SBP in the following year; r=0.239, P<0.001 for baseline SUA and DBP in the following year).

Elevated SUA was associated with incident hypertension in healthy individuals according to various contemporary BP guidelines (ClinicalTrials.gov NCT03473951).

ClinicalTrials.gov with the identification number of NCT03473951.

ClinicalTrials.gov with the identification number of NCT03473951.

Aim of the present network meta-analysis (NMA) is the comparison across glucose-lowering drugs (GLA) concerning their effects on glucose control, body weight, hypoglycemia, gastrointestinal adverse events, and quality of life.

This NMA includes randomized clinical trials comparing different head-to-head comparison trials with EMA-approved GLA in type 2 diabetes, with a duration of ≥52 weeks. All drugs have to be administered at the maximal approved dose. Primary endpoints were HbA1c at 12, 52, and 104+ weeks. read more Secondary endpoints were body weight, quality of life, hypoglycemia, and gastrointestinal disorders. Indirect comparisons of different GLA were performed by NMA choosing metformin as reference. The standardized difference in means (SDM) and Mantel-Haenzel Odds Ratio [MH-OR] (using random-effect models) with 95% Confidence Intervals were calculated for categorical and continuous variables, respectively. We included 68 trials fulfilling all inclusion criteria. At 12 weeks, when considering indirect comparisons, insulin secretagogues (IS) were associated with a significantly greater reduction in comparison with metformin (SDM, -0.3 [-0.4;-0.2]%); a significantly lower efficacy was observed for pioglitazone. At 52 weeks, IS were no longer associated with a greater reduction of HbA1c; whereas a significant decrease in HbA1c was observed for GLP-1 RA (SDM, -0.2 [-0.1;-0.3]%). At 104+ weeks, only SGLT-2 inhibitors showed a significantly greater HbA1c reduction (SDM, -0.2 [-0.1;-0.3]%), whereas sulfonylureas and insulin showed a significantly lower efficacy (SDM, 0.1 [0.0; 0.2]%), and 0.4 [0.3; 0.5]%, respectively).

The results of this meta-analysis should be considered together with evidence on long-term outcomes for selecting the most appropriate drugs for individual patients.

The results of this meta-analysis should be considered together with evidence on long-term outcomes for selecting the most appropriate drugs for individual patients.

The use of nefopam is constantly increasing in France. The objectives of this study were to quantify the intensity of the drug dependence signal, to identify the populations at risk and the risk factors of dependence.

All serious and non-serious cases of misuse, abuse, drug dependence, overdose and withdrawal syndrome reported to the French Addictovigilance Network since 1988 were reviewed. An analysis of nefopam reimbursement data from the French national EGB (échantillon généraliste des bénéficiaires) database for the period 2006-2017 was also performed.

The drug dependence profile of nefopam is close to that of a psychostimulant. Our literature review and the analysis of spontaneous reports confirm the risk of abuse and dependence of nefopam. In addition to a frequent psychiatric history (depression, psychosis, anxiety), nearly half of the patients also present addictive disorders, including more than one-third with opioid-dependence. In almost half of the 120 reported cases, the main adverse reaction was dependence and the frequency of serious effects was greater than 40%. In nearly 70% of the reported cases, the use was associated with chronic pain, which might explain the prolonged use. Moreover, the analysis of data on the reimbursement of nefopam in the general population showed that one French person out of two, having a prescription for nefopam, presented chronic pain. However, nefopam is only indicated in the treatment of acute painful conditions. Although it does not seem to be associated with a greater risk of abuse or dependence, taking the drug orally is another very frequent off-label use that needs to be regulated.

In France, the prescription of nefopam outside of its marketing authorization is regrettable, because it contributes to the development of abuse and drug dependence.

In France, the prescription of nefopam outside of its marketing authorization is regrettable, because it contributes to the development of abuse and drug dependence.

Familial Hypercholesterolemia (FH) is an autosomal dominant disease with an estimated prevalence between 1/200-250. It is under-treated and underdiagnosed. Massive data screening can increase the detection of patients with FH.

Study population Residents in the health coverage area (N 195.000 inhabitants) and with at least one determination of cholesterol linked to low-density lipoproteins (LDL-C) carried out between January 1, 2010 and December 30, 2019. The highest LDL-C values were selected.

nephrotic syndrome, hypothyroidism, Hypothyroid treatment or triglycerides> 400 mg / dL. Seven algorithms suggestive of Familial Hypercholesterolemia Phenotype (HF-P) were analyzed, selecting the most efficient algorithm that could easily be translated into clinical practice.

Based on 6.264.877 assistances and 288.475 patients, after applying the inclusion-exclusion criteria, 504.316 tests were included, corresponding to 106.382 adults and 10.509 <18 years. The selected algorithm presented a prevalence of 0.62%. 840 patients with HF-P were detected, 55.8% being women and 178 <18 years old, 9.3% had a history of cardiovascular disease (CVD) and 16.4% had died. 65% of the patients in primary prevention had LDL-C values> 130 mg / dL and 83% in secondary prevention values> 70mg / dL. A ratio of 7.64 (1-18) patients with HF-P per analytical requesting physician was obtained.

Massive data screening and patient profiling are effective tools and easily applicable in clinical practice for the detection of patients with FH.

Massive data screening and patient profiling are effective tools and easily applicable in clinical practice for the detection of patients with FH.