These results show that long-term GH replacement therapy in children with unequivocal GHD significantly decreases serum FT4 and rT3 levels and increases serum T3 levels; that these changes are independent of TSH and result from increased peripheral conversion of T4 to T3 and that GH replacement therapy in GH deficient children does not induce hypothyroidism, but simply reveals previously unrecognized cases whose serum FT4 values fall in the low range during GH replacement.

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SUMMARYDespite recent advances in pharmacological treatment of psychiatric disorders, lithium salts remain frequently used, as they are effective and inexpensive alternatives, especially in the treatment of bipolar disorders. Their use is commonly associated with various endocrine disorders, mainly in thyroid and parathyroid function, and in mineral metabolism. This article aims at reviewing these potential endocrinopathies related to the use of lithium to make health care professionals aware and familiar with these possible complications when they follow up patients using this drug, and to make them able to monitor, identify and institute early and appropriate treatment. SUMÁRIOApesar dos recentes avanços farmacológicos no tratamento dos transtornos psiquiátricos, os sais de lítio permanecem como uma alternativa eficaz e de menor custo, sendo usados com frequência principalmente no tratamento dos transtornos bipolares. O seu uso é comumente relacionado com diversas alterações endocrinológicas, principalmente nas funções tiroidiana, paratiroidiana e do metabolismo iônico. Este artigo tem por objetivo fazer uma revisão dessas potenciais endocrinopatias relacionadas ao uso do lítio, para que, no seguimento de pacientes em uso dessa medicação, os profissionais de saúde estejam atentos e familiarizados com essas possíveis complicações, conseguindo identificar e instituir tratamento precocemente. Arq Bras Endocrinol Metab. 2012;56(3):153-8 Descritores Lítio; hipercalcemia; diabetes insipidus; bócio

Context Artificial intelligence (AI), in particular machine learning (ML), may be used to deeply analyze biomarkers of response to first-generation somatostatin receptor ligands (fg-SRLs) in the treatment of acromegaly. Aim To develop a prediction model of therapeutic response of acromegaly to fg-SRL. Methods Patients with acromegaly not cured by primary surgical treatment and who had adjuvant therapy with fg-SRL for at least 6 months after surgery were included. Patients were considered controlled if they presented GH < 1.0 ng/mL and normal age-adjusted IGF-I levels. Six AI models were evaluated: logistic regression, k-nearest neighbor classifier, support vector machine, gradient-boosted classifier, random forest and multilayer perceptron. The features included in the analysis were age at diagnosis, sex, GH and IGF-I levels at diagnosis and at pretreatment, somatostatin receptor subtype 2 and 5 (SST2 and SST5) protein expression and cytokeratin granulation pattern (GP). Results A total of 153 patients were analyzed. Controlled patients were older (p = 0.002), had lower GH at diagnosis (p = 0.01), had lower pretreatment GH and IGF-I (p < 0.001), and more frequently harbored tumors that were densely granulated (p = 0.014) or highly expressed SST2 (p < 0.001).The model that performed best was the support vector machine with the features SST2, SST5, GP, sex, age, and pretreatment GH and IGF-I levels. It had an accuracy of 86.3%, positive predictive value of 83.3% and negative predictive value of 87.5%. Conclusion We developed a ML-based prediction model with high accuracy that has the potential to improve medical management of acromegaly, optimize biochemical control, decrease long-term morbidities and mortality and reduce health services costs.

OBJECTIVE Finerenone significantly improved cardiorenal outcomes in patients with chronic kidney disease (CKD) and type 2 diabetes (T2D) in the Finerenone in Reducing Kidney Failure and Disease Progression in Diabetic Kidney Disease trial. We explored whether baseline HbA1c level and insulin treatment influenced outcomes. RESEARCH DESIGN AND METHODS Patients with T2D, urine albumin-to-creatinine ratio (UACR) of 30–5,000 mg/g, estimated glomerular filtration rate (eGFR) of 25 to <75 mL/min/1.73 m2, and treated with optimized renin–angiotensin system blockade were randomly assigned to receive finerenone or placebo. Efficacy outcomes included kidney (kidney failure, sustained decrease ≥40% in eGFR from baseline, or renal death) and cardiovascular (cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure) composite endpoints. Patients were analyzed by baseline insulin use and by baseline HbA1c <7.5% (58 mmol/mol) or ≥7.5%. RESULTS Of 5,674 patients, 3,637 (64.1%) received insulin at baseline. Overall, 5,663 patients were included in the analysis for HbA1c; 2,794 (49.3%) had baseline HbA1c <7.5% (58 mmol/mol). Finerenone significantly reduced risk of the kidney composite outcome independent of baseline HbA1c level and insulin use (Pinteraction = 0.41 and 0.56, respectively). Cardiovascular composite outcome incidence was reduced with finerenone irrespective of baseline HbA1c level and insulin use (Pinteraction = 0.70 and 0.33, respectively). Although baseline HbA1c level did not affect kidney event risk, cardiovascular risk increased with higher HbA1c level. UACR reduction was consistent across subgroups. Adverse events were similar between groups regardless of baseline HbA1c level and insulin use; few finerenone-treated patients discontinued treatment because of hyperkalemia. CONCLUSIONS Finerenone reduces kidney and cardiovascular outcome risk in patients with CKD and T2D, and risks appear consistent irrespective of HbA1c levels or insulin use.