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1.
Int Ophthalmol ; 41(9): 3191-3198, 2021 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-34114138

RESUMEN

PURPOSE: To evaluate the effect of topical prophylaxis with brinzolamide-brimonidine fixed combination on short-term intraocular pressure (IOP) elevation after intravitreal injections of anti-vascular endothelial growth factors (anti-VEGF). METHODS: This prospective comparative study included 56 eyes of 47 patients treated with intravitreal injections of anti-VEGF, and they were randomly divided into two groups. In control group (25 eyes), no prophylactic medication was used, whereas in case group (31 eyes) one drop of a fixed combination of brinzolamide-brimonidine was instilled two hours before the injection. IOP was measured before the injection and at 1 min, 10 min and 30 min post-injection in all eyes. RESULTS: The mean IOP before injection at 1 min, 10 min and 30 min post-injection was 16,6 ± 2,8 mmHg, 53,4 ± 12 mmHg, 26,4 ± 5,5 mmHg and 17,9 ± 4 mmHg, respectively, in control group and 15,1 ± 3,4 mmHg, 42,6 ± 8,4 mmHg, 21,4 ± 5,5 mmHg and 12,4 ± 3,5 mmHg, respectively, in case group. At 1 min, 10 min and 30 min post-injection, the mean IOP was significantly lower in case group compared with control group (p < 0,001, p = 0,0014 and p < 0,0001, respectively), but no difference at the pre-injection IOP between the two groups was found (p = 0,09). CONCLUSIONS: The prophylactic administration of one drop of brinzolamide-brimonidine fixed combination significantly reduces the IOP spikes during the first 30 min after the intravitreal anti-VEGF injection.


Asunto(s)
Presión Intraocular , Hipertensión Ocular , Tartrato de Brimonidina/uso terapéutico , Humanos , Inyecciones Intravítreas , Hipertensión Ocular/tratamiento farmacológico , Estudios Prospectivos , Sulfonamidas , Tiazinas
2.
Horm Metab Res ; 51(1): 47-53, 2019 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-30406628

RESUMEN

Patients harboring adrenal tumors are characterized by higher prevalence of metabolic syndrome (MetS) components and a higher incidence of cardiovascular complications, especially in cases of subclinical or overt hormonal hypersecretion. Early detection and referral of those patients in tertiary centers could prevent unfavorable outcomes. In this cross-sectional, retrospective study, we evaluated 111 consecutive patients with adrenal incidentalomas and 14 patients with known hypersecretory adrenal lesions (autonomous cortisol secretion, primary aldosteronism, and pheochromocytoma), who were investigated in our clinic. Based on the different distribution of MetS components in patients with non-functional and functional adrenal lesions we introduced a predictive model of hormonal hypersecretion using those components. We performed multivariate discriminant analysis and compared predictive results with conventional multiple logistic regression analysis. Diabetes, impaired glucose tolerance, impaired fasting glucose, hypertension, body mass index, HDL-cholesterol levels, triglyceride levels, drug treatment for lipid disorder (statins, fenofibrate, and fish oils, alone or in combination), and maximal adrenal lesion diameter were used as discriminating covariates. Multivariate discriminant function exhibited a sensitivity of 77.27% and specificity of 73.08% in predicting adrenal hormonal hypersecretion. Receiver operating characteristic curve of discriminant predictive function had an area under the curve value of 0.785, S.E. 0.04. Logistic function delivered comparable results. MetS components exhibit a good predictive feature of hormonal hypersecretion in patients with adrenal tumors. Predictive functions may help in the search for an easy and generally available algorithm to validly predict the functional activity of adrenal masses.


Asunto(s)
Neoplasias de las Glándulas Suprarrenales/epidemiología , Glándulas Suprarrenales/fisiopatología , Síndrome Metabólico/complicaciones , Neoplasias de las Glándulas Suprarrenales/complicaciones , Neoplasias de las Glándulas Suprarrenales/metabolismo , Neoplasias de las Glándulas Suprarrenales/fisiopatología , Adulto , Anciano , Glucemia/metabolismo , Índice de Masa Corporal , HDL-Colesterol/metabolismo , Estudios Transversales , Femenino , Humanos , Modelos Logísticos , Masculino , Síndrome Metabólico/metabolismo , Persona de Mediana Edad , Curva ROC , Estudios Retrospectivos , Triglicéridos/metabolismo
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