Endocrinologia Diabetes Y Nutricion最新文献

Background and objective

Posthemithyroidectomy hypothyroidism (PHH) is a relatively common complication (22%–30%) for which we have no published information from our country. The objective of the study is to determine the prevalence of PHH and evaluate its predictive markers by comparing patients who had euthyroidism with those who had hyperthyroidism before hemithyroidectomy.

Patients and method

Retrospective observational cross-sectional study on 106 patients, 88 euthyroid before hemithyroidectomy and 18 hyperthyroid.

Results

Prevalence of PHH in euthyroid patients 42% (89.2% subclinical hypothyroidism; 10.8% manifest hypothyroidism) and in hyperthyroid patients 50% (77.8% subclinical hypothyroidism; 22.2% manifest hypothyroidism). Predictive markers in euthyroid patients: preoperative thyrotropin ≥ 2.2 mIU/L (OR: 4.278, 95% CI: 1.689−10.833; sensitivity: 54.1%, 95% CI: 38%–70.1%; specificity: 78.4%, 95% CI: 67.1%–89.7%), age ≥50 years (OR: 3.509, 95% CI: 1.438–8.563; sensitivity: 64.9%, 95% CI: 49.5%–80.3%; specificity: 64.7%, 95% CI: 51.6%–77.8%) and percentage of remainder lobe ≤ 19.6% (OR: 1.024, 95%: 1.002–1.046; sensitivity: 70.2%, 95% CI: 55.5%–84.9%; specificity: 48.6%, 95% CI: 34.9%–62.3%). Predictive marker in hyperthyroid patients: weight >70 kg (OR: 28, 95% CI: 2.067–379.247; sensitivity: 88.9%, 95% CI: 68.4%–100%; specificity: 88.9%, 95% CI: 68.4%–100%).

Conclusions

This is the first study in our country that demonstrates a prevalence of PHH above the average in euthyroid patients, which is slightly higher and more intense in hyperthyroid patients, and that recognizes the classic predictive markers in euthyroid patients but highlights a novel predictive marker marker in hyperthyroid patients, useful to assess a different risk of PHH when indicating hemithyroidectomy and to establish closer control of postoperative hormonal evolution.

Introduction

The Medtronic MiniMed™ 780G (MM780G) system uses an algorithm that includes autocorrection bolus (AB) delivery. This study evaluates the impact of omitted meal boluses and the system settings, glucose target and active insulin time (AIT), on the AB.

Method

Retrospective observational study on data uploaded by all MiniMed 780G users in our healthcare area, obtained through the remote monitoring platform Care Connect, from April to August 2023. Downloads with a sensor usage time <95% were excluded.

Results

235 downloads belonging to 235 users were analysed. AB delivery was significantly higher at 2 h AIT (36.08 ± 13.17%) compared to the rest of settings (2.25–4 h) (26.43 ± 13.2%) (p < 0.001). AB differences based on the glucose target were not found.

Patients with <3 meal boluses per day had higher AB delivery (46.91 ± 19.00% vs 27.53 ± 11.54%) (p < 0.001) and had more unfavourable glucometric parameters (GMI 7.12 ± 0.45%, TIR 67.46 ± 12.89% vs GMI 6.78 ± 0.3%, TIR 76.51 ± 8.37%) (p < 0.001). However, the 2-h AIT group presented similar TAR, TIR and GMI regardless of the number of meal boluses.

Conclusion

The fewer user-initiated boluses, the greater the autocorrection received. The active insulin time of 2 h entails a more active autocorrection pattern that makes it possible to more effectively compensate for the omission of meal boluses without increasing hypoglycaemias.

Introduction

Coffee consumption has demonstrated an effect on the regulation of appetite, causing less hunger and/or greater satiety; however, its effects are not well known in woman with overweight or obesity. Therefore, this study aimed to evaluate the effect of coffee consumption on hunger, satiety, sensory specific desire (SSD), and dietary intake in women with overweight or obesity.

Methodology

A randomized crossover clinical trial was realized in 3 sessions: in the first session a clinical history, anthropometric measurements and body composition analysis were performed; in sessions 2 and 3 the participants randomly consumed 240 mL of coffee with 6 mg/caffeine/kg of weight or 240 mL of water along with a standardized breakfast. At fasting and every 30 min after breakfast for the next 3 h, appetite sensations and SSD were recorded using visual analog scales. Blood samples were taken at fasting, 30 and 180 min after breakfast. Dietary intake was recorded in the rest of the intervention days.

Results

In the coffee intervention there was an increased desire for sweet foods, higher fructose intake during the rest of the day, and higher triglyceride levels than with the water intervention. No differences were detected in ghrelin or cholecystokinin.

Conclusions

Coffee consumption may lead to higher triglycerides and higher intake of simple sugars, mainly fructose, through changes in the SSD.

Clinical Trial Registration: https://clinicaltrials.gov/ NCT05774119.

Objective

To stablish the relationship between socioeconomic status of a cohort of children and adolescents with type 1 diabetes (T1D) with glycemic control, therapeutic adherence and diabetes quality of life (DQoL).

Patients y methods

A cross-sectional, observational study with consecutive inclusion was carried out. Participants aged 8–18 years with T1D duration >1 year. Data on family structure, family income, parents’ educational level and parental role on primary diabetes care supervision were registered. Adherence (DMQ-Sp) and DQoL (PedsQl) were analyzed. Linear and logistic regression models adjusted for demographics, family structure and parental role on primary diabetes care responsibility were applied.

Results

A total of 323 patients (T1D duration 5,3 ± 3,3 years; HbA1c 7,7 ± 1,0%; age 13,3 ± 2,8 years; 49,8% females) were included. Patients living in a nuclear family and those whose main diabetes care supervision was shared by both parents showed lower HbA1c [adjusted for demographics and family structure (7,06; CI 95% 6,52–7,59); adjusted for demographics and role on primary diabetes care supervision (7,43; CI 95% 6,57–8,28)]. DMQ-Sp score (adjusted for demographics and role on main supervision) was higher in patients whose parents shared the diabetes care supervision (84,56; CI 95% 73,93–95,19). Parents sharing diabetes care supervision showed a significantly higher PedsQl score (both 74,63 ± 12,70 vs mother 68,53 ± 14,59; p = 0,001).

Conclusions

Children and adolescents with T1D had lower HbA1c, better therapeutic adherence and better DQoL when lived in a nuclear family, with higher socioeconomic status and the responsibility for supervising diabetes care was shared by both parents.

Introduction

Some epidemiological data suggest that there may be an inverse relationship between cholesterol levels and the risk of thyroid cancer in the overall population. The present study was aimed to evaluate the lipid profile specifically in subjects with Bethesda category IV thyroid nodules, and compare whether there were any differences between those with benign and malignant nodules.

Methods

Single-centre, retrospective study on 204 subjects treated by partial or total thyroidectomy for excision of a Bethesda category IV thyroid nodule, who had undergone a blood lipid profile test in the 12 months prior to surgery. In addition to lipid measures, other demographic, clinical, biochemical and ultrasound data were collected.

Results

Seventy-five subjects (36.8%) were diagnosed with thyroid carcinoma in the definitive histopathological examination. Patients with thyroid cancer had lower levels of total cholesterol, LDL-cholesterol and non-HDL-cholesterol than subjects with benign thyroid diseases. There were no differences in HDL-cholesterol, triglycerides or total cholesterol/HDL-cholesterol ratio. There were no differences either between groups in other clinical, biochemical and ultrasound variables, including the use of lipid-lowering drugs. In multivariate analysis, only LDL-cholesterol was independently associated with malignancy. Subjects with follicular carcinoma showed the lowest cholesterol levels, while those with papillary carcinoma had intermediate values between the group with follicular carcinoma and the group with benign thyroid diseases.

Conclusions

In subjects with cytologically indeterminate Bethesda category IV thyroid nodules, levels of total cholesterol, non-HDL-cholesterol and, particularly, LDL-cholesterol are lower among those with malignant nodules.

Carcinoid crisis (CC) has classically been considered the extreme end of the spectrum of carcinoid syndrome (CS). However, this presumption and other aspects of CC remain poorly understood. Consequently, current clinical guidelines are based on a low quality of evidence. There is no standard definition of CC and its incidence is unknown. Patients with florid CS and elevated serotonin (or its derivatives) which develop CC have been reported during decades. Nevertheless, the hypothesis that CC is due to the sudden massive release of serotonin or other vasoactive substances is unproven. Many triggers of CC (surgery, anaesthesia, peptide receptor radionuclide therapy, tumour biopsy or liver-directed treatments) have been proposed. However, data from studies are heterogeneous and even contradictory. Finally, the role of octreotide in the prevention of CC has been questioned. Herein, we report a clinical case and perform a critical review of the evidence available today on this topic.

Objective

To determine the risk factors for hypoglycaemia in patients with diabetes on general hospital wards based on a systematic review of the literature since 2013 and meta-analysis.

Methods

Systematic review of the literature focused on the conceptual and methodological aspects of the PRISMA Declaration. The search carried out in Pub Med, Web of Science, Medline, Scielo, Lilacs, OVID, grey literature and Google Academic focused on risk factors for hypoglycaemia in patients with diabetes on general hospital wards. The CASPe (Critical Appraisal Skills Programme Spanish) tool was applied for quality control.

Results

From 805 references, 70 potentially eligible articles were identified for review of abstracts and full text. Finally, according to inclusion and exclusion criteria, seven studies with 554,601 patients of Asian, European and North American ethnicity were selected.

A meta-analysis performed using the random effects model found an association between the presence of hypoglycaemia and: the use of insulin (OR 2.89 [95% CI: 1.8−4.5]); the use of long-acting insulin (OR 2.27 [95% CI: 1.8−2.8]) or fast-acting insulin (OR 1.4 [95% CI: 1.18−1.85]); nasogastric tube feeding (OR 1.75 [95% CI: 1.33−2.3]); chronic kidney disease (OR 1.65 [95% CI: 1.14−2.38]); congestive heart failure (OR 1.36 [95% CI: 1.10−1.68]); and elevated levels of glycosylated haemoglobin (OR 1.59 [95% CI: 1.32−1.91]).

Conclusion

The factors associated with the risk of hypoglycaemia in non-critically ill hospitalised patients with type 2 diabetes were: use of any insulin; nasogastric tube feeding; elevated glycosylated haemoglobin levels; history of congestive heart failure; and chronic kidney disease.

Background

In recent years, the implementation of electronic health records across all hospitals and primary care centres within the National Health System has significantly enhanced access to patients’ clinical data. This study aims to estimate the prevalence of type 2 diabetes (T2DM) in primary care settings and to outline its associated cardiovascular risk factors (CVRF) and epidemiological characteristics.

Methods

An observational cross-sectional study was conducted including 89,679 patients diagnosed with T2DM who attended the primary health care system from 2014 to 2018. Data was provided by the Primary Health Care System of the Principality of Asturias (SESPA).

Results

The estimated prevalence of diagnosed T2DM was 8.01% (95% Confidence Interval [CI]: 7.96–8.06) of the total population. Additionally, it was more prevalent in males compared to females (9.90% [95% CI: 9.81–9.99] vs. 6.50% [95% CI: 6.44–6.57]) and increased with age in both sexes. People with T2DM had an average age of 74 years, 52.3% were male, and the most frequently associated CVRF were: dyslipidaemia (47.90%) and hypertension (62.20%). Glycaemic control improved during the 2014–2018 period (31.69%), as did lipid control (23.66%). However, the improvement in blood pressure control (9.34%) was less pronounced for the same period. Regarding the multifactorial control of diabetes (measured by LDL-cholesterol, HbA1C and blood pressure) the overall degree of control improved by 11.55% between 2014 and 2018.

Conclusion

In this 5-year retrospective population-based study, the utilisation of data from electronic medical records provides insights into the prevalence of T2DM in a large population, as well as real-time CVRFs. Leveraging this data facilitates the development of targeted health policies.