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The aims of our study was compare adherence measured by the medical possession ratio (MPR), time until discontinuation and describe adverse events after adding a DPP-4i, SGLT-2i, or sulfonylureas (SU) to metformin in a primary care population with insufficient glycemic control. We used routinely-collected health data from the SIDIAP database. The included subjects were matched by propensity score. The follow-up period was up to 24 months or premature discontinuation. The primary outcomes were the percentage of subjects with good adherence, treatment discontinuation and adverse events among treatment groups. The proportion of patients with good adherence (MPR> 0.8) after the addition of DPP-4i, SGLT-2i or SU was 53.6%, 68.7%, and 43.0%, respectively. SGLT-2i users were 1.7 times more likely to achieve good adherence compared with DPP-4i users (odds ratio [OR]:1.72, 98% confidence interval [CI]:1.51, 1.96), and 2.8 times more likely compared with SU users (OR: 0.35, 98% CI: 0.07, 0.29). The discontinuation hazard ratios were 1.43 (98%CI: 1.26; 1.62) and 1.60 (98%CI: 1.42; 1.81) times higher among SGLT-2i and SU users than DPP-4i users during the follow-up period. No differences were observed for adverse events among the treatment groups. In conclusion, in our real-world setting, the combination of SGLT-2i with metformin was associated with better adherence. The mean time until discontinuation was longer in the SGLT-2i group in comparison with the DPP-4i or SU groups.

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AIM: To compare the changes in HbA1c, the effect on body weight or both combined after the addition of a DPP-4i, SGLT-2i, or sulfonylureas (SU) to metformin in real-world condition. METHODS: We used a primary care SIDIAP database. The included subjects were matched by propensity score according to baseline age, sex, HbA1c, weight, inclusion date, diabetes duration, and kidney function. RESULTS: Mean absolute HbA1c reduction was: 1.28% for DPP4i, 1.29% for SGLT2i and 1.26% for SU. Mean weight reduction was: 1.21 kg for DPP4i, 3.47 kg for SGLT2i and 0.04 kg for SU. The proportion of patients who achieved combined target HbA1c (≥0.5%) and weight (≥3%) reductions after the addition of DPP-4i, SGLT-2i or SU, was: 24.2%, 41.3%, and 15.2%, respectively. Small differences in systolic blood pressure reduction (1.07, 3.10 and 0.96 mmHg, respectively) were observed in favour of SGLT-2i. Concerning the lipids, we observed small differences, with an HDL-cholesterol increase with SGLT-2i. CONCLUSION: Our real-world study showed that the addition of SGLT-2i to metformin was associated with greater reductions in weight and the combination target of weight-HbA1c compared to SU and DPP4 inhibitors. However, similar hypoglycaemic effectiveness was observed among the three-drug classes.

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Los pacientes con patología psicótica tienen un mayor riesgo de mortalidad precoz. Además de las causas no naturales (accidentes, suicidio), la causa cardiovascular (CV) está de 2 a 4 veces más presente que en población general. Esta revisión no sistemática de MEDLINE pretende esclarecer el papel de todos los condicionantes implicados. La patología psicótica se relaciona con hábitos de vida poco saludables tales como el tabaquismo, la dieta no equilibrada o el sedentarismo. Los fármacos neurolépticos también han sido estudiados como desencadenantes de obesidad y síndrome metabólico. Por tanto, los pacientes psicóticos parecen predispuestos a sufrir muchos de los factores de riesgo CV «clásicos». No es de extrañar que las puntuaciones en las escalas de riesgo cardiovascular (RCV) (Framingham, SCORE) sean superiores a las de la población general. También encontramos publicaciones en las que evidencian mayor dificultad en el manejo de la prevención primaria y secundaria de la enfermedad CV. Además, algunos factores bioquímicos (niveles plasmáticos de cortisol, ACTH, homocisteína, PCR) podrían indicar una vulnerabilidad de la psicosis per se, así como los hallazgos sobre hiperglucemia y resistencia a la insulina en psicóticos no tratados con psicofármacos. Estos factores «no-clásicos» podrían alteran la validez de las escalas de RCV diseñadas para población general. Por otro lado, los fármacos antipsicóticos podrían controlar factores intrínsecos de la psicosis (han demostrado disminuir la mortalidad global), no quedando claro su papel en la mortalidad CV

Patients with psychotic disorders have a higher risk of early mortality. In addition to unnatural causes (accidents, suicide), death due to cardiovascular (CV) reasons is two to four times more prevalent in these patients than in the general population. This non-systematic review of MEDLINE aims to clarify the role of all the determining factors are involved. Psychotic disorders are related to unhealthy life habits such as smoking, poor diet and physical inactivity. Neuroleptic drugs have also been studied as triggers of obesity and metabolic syndrome. Therefore, psychotic patients seem predisposed to suffer from several of the «classic» CV risk factors. It is not surprising that their scores on the CV risk scales (Framingham, SCORE) are higher than the general population. We also found publications that showed poorer management of primary and secondary prevention of CV disease. In addition, some biochemical factors (plasma levels of cortisol, ACTH, homocysteine, PCR) may indicate a vulnerability in psychosis per se, as well as the findings on hyperglycemia and insulin resistance in psychotic "drug naive" patients. These "non-classical" factors could alter the validity of CV risk scales designed for the general population. Furthermore, antipsychotic drugs could control intrinsic factors of psychosis (they have shown to reduce global mortality), and their role in CV mortality is not clear

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Patients with psychotic disorders have a higher risk of early mortality. In addition to unnatural causes (accidents, suicide), death due to cardiovascular (CV) reasons is two to four times more prevalent in these patients than in the general population. This non-systematic review of MEDLINE aims to clarify the role of all the determining factors are involved. Psychotic disorders are related to unhealthy life habits such as smoking, poor diet and physical inactivity. Neuroleptic drugs have also been studied as triggers of obesity and metabolic syndrome. Therefore, psychotic patients seem predisposed to suffer from several of the «classic¼ CV risk factors. It is not surprising that their scores on the CV risk scales (Framingham, SCORE) are higher than the general population. We also found publications that showed poorer management of primary and secondary prevention of CV disease. In addition, some biochemical factors (plasma levels of cortisol, ACTH, homocysteine, PCR) may indicate a vulnerability in psychosis per se, as well as the findings on hyperglycemia and insulin resistance in psychotic "drug naive" patients. These "non-classical" factors could alter the validity of CV risk scales designed for the general population. Furthermore, antipsychotic drugs could control intrinsic factors of psychosis (they have shown to reduce global mortality), and their role in CV mortality is not clear.

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