Endocrine Practice最新文献

Objective

COVID-19 infection and immunizations have been implicated in developing a range of thyroid diseases, including subacute thyroiditis (SAT). This study aimed to evaluate the association between COVID-19 infection and/or COVID-19 vaccination with SAT.

Methods

A population of 3 million adults insured by Clalit Health Services was evaluated from March 2020 to September 2022. Patients with a new diagnosis of SAT were identified and matched in a 1:10 ratio to a control group. Each control was assigned an index date that was identical to that of their matched case, defined as the date of SAT diagnosis. Multivariate conditional logistic regression models were used to evaluate the association between COVID-19 infection, vaccine, and thyroiditis.

Results

A total of 3221 patients with SAT were matched with 32 210 controls. Rates of COVID-19 vaccination (first, second, or third dose) and COVID-19 infection were evaluated prior to the date of SAT diagnosis (disease group) or index date (control group) to detect a possible association. No difference was detected between the groups in relation to vaccinations at the 30 days, 60 days, and 90 days of time points (P = .880/0.335/0.174, respectively). No difference was found between groups in relation to COVID-19 infection at these time points (P = .735/0.362/0.956, respectively). There was higher use of medications for the treatment of thyroiditis, including nonsteroidal anti-inflammatory drugs (28.6% vs 7.9%, P < .01), steroids (10.3% vs 1.8%, P < .01), and beta-blockers (18.3% vs 5.4%, P < .01).

Conclusion

Based on this large population study, no association was found between COVID-19 infection and/or the COVID-19 vaccine and SAT.

Objective

White matter lesions (WMLs) increase the risk of stroke, stroke recurrence, and death. Higher plasma aldosterone concentration (PAC) increases the risk of stroke, acute myocardial infarction, and hypertension. The objective is to evaluate the relationship between PAC and cerebrovascular events in patients with hypertension and WMLs.

Methods

We conducted a retrospective cohort study that included 1041 participants hospitalized. The outcome was new-onset cerebrovascular events including intracerebral hemorrhage and stroke. A Cox regression model was used to evaluate the relationship between baseline PAC and the risk of cerebrovascular events.

Results

The mean age of participants was 60.9 ± 10.2 years and 565 (53.4%) were males. The median follow-up duration was 42 months (interquartile range: 25-67), and 92 patients experienced new-onset cerebrovascular events. In a multivariate-adjusted model, with PAC as a continuous variable, higher PAC increased the risk of cerebrovascular events; patient risk increased per 1 (hazard ratio [HR: 1.03], 95% confidence interval [CI]: 1.01-1.06, P < .01), per 5 (HR: 1.17, 95% CI: 1.06-1.31, P < .01), and per 10 ng/dL (HR: 1.41, 95%: 1.14-1.75, P < .01) increase in PAC. When PAC was expressed as a categorical variable (quartile: Q1-Q4), patients in Q4 (HR: 2.12, 95% CI: 1.18-3.79, P < .05) exhibited an increased risk of cerebrovascular events compared to Q1. Restrictive spline regression showed a linear association between PAC and the risk of new-onset cerebrovascular events after adjusting for all possible variables.

Conclusions

Our study identified a linear association between PAC and the risk of new-onset cerebrovascular events in patients with hypertension and WMLs.

Background

Despite the growing literature, the effectiveness of liraglutide in weight management among individuals with prediabetes and in preventing the disease remains controversial. This study aims to critically evaluate the extent of liraglutide’s impact on weight management in this population and assess the heterogeneity among extant studies.

Methods

A systematic literature search was conducted across MEDLINE, Embase, ClinicalTrials.gov, and the reference list of retrieved studies to identify eligible English language randomized controlled trials evaluating liraglutide’s effect on weight in individuals with pre-diabetes. Non-randomized studies, studies not reporting relevant outcomes, and those conducted on patients with type 2 diabetes were excluded from this review. Outcomes included a change from baseline in absolute body weight in kg, body mass index (BMI), waist circumference, glycosylated hemoglobin (HbA1c), and low-density lipoprotein cholesterol levels. Additional safety outcomes were also reported. Data were analyzed using R statistical software version 4.3.1. A fixed-effect model was used when pooling crude numbers for study outcomes. Moreover, a sensitivity analysis using random-effect model was performed and heterogeneity was assessed using I² statistics.

Results

Five eligible studies were included, with a total of 1604 subjects in the liraglutide arm and 859 subjects in the control arm. Participants exposed to liraglutide showed a decrease in body weight (mean difference [MD] = −4.95 kg; 95% CI –5.16, −4.73; I² = 93%), BMI (MD = −2.06 kg/m²; 95%CI –2.22, −1.89; I² = 97%), waist circumference (MD = −4.61 cm; 95% CI –4.79, −4.43; I² = 82%), HbA1c (MD = −0.33%; 95%CI –0.34, −0.31; I² = 100%), and low-density lipoprotein cholesterol levels (MD = −0.36 mmol/L; 95% CI –0.39, −0.33; I² = 99%). The overall effect size remained similar when using a random-effects model for all outcomes. In addition, the rate of adverse events was higher with liraglutide when compared to the control; however, the dropout rates were relatively lower in the former arm.

Conclusion

While our meta-analysis suggests that liraglutide can reduce body weight, BMI, waist circumference, and HbA1c levels in individuals with pre-diabetes, the findings should be interpreted cautiously due to limitations such as the small number of trials and their short duration, and variability in dosages. Further randomized controlled trials examining long-term outcomes are essential to validate these findings and address the high heterogeneity among the studies included in this analysis.

Objective

Although I-131 is relatively safe, there is limited focus on probable eye-related side effects after radioactive iodine (RAI) therapy. Thus, we aimed to provide evidence for the adverse outcomes of I-131, exclusively in patients with thyroid cancer.

Methods

A systematic review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was designed to examine the ocular complications of RAI therapy. Databases including PubMed, Scopus, and Web of Science were searched until October 2023 with specific thyroid neoplasms, ophthalmology and iodine terms. After thorough screening and review, relevant data were extracted.

Results

The database search yielded 3434 articles, which resulted in the final 28 eligible studies. These studies investigated ophthalmic symptoms following RAI therapy, classifying them as obstructive diseases (for example, nasolacrimal duct obstruction; median incidence rate: 6.8%), inflammatory symptoms (median incidence rate: 13%), and cataracts (median incidence rate: 2.5 and 5%). The most common time interval between RAI therapy and the onset of symptoms was within the first 12 months and then declined in the preceding years. A strong positive correlation was observed between higher I-131 doses of more than 100 to 150 mCi (3.7-5.55 GBq) and the risk of symptom development. Ages older than 45 also showed a significant association with nasolacrimal duct obstruction.

Conclusion

The risk of ophthalmic complications is associated with various factors, including the administration of high I-131 doses, age of more than 45 years, and time to event within the first 12 months. Considering these conditions may help enhance patient care and prevent adverse outcomes that may limit patients’ quality of life.

Objective

There has been increasing evidence that patients with adrenal incidentalomas (AIs) who have 1-mg dexamethasone suppression test (DST) cortisol levels >0.9 μg/dL may be exposed to the adverse consequences of hypercortisolaemia. We aim to evaluate whether there is a difference in Beck Depression Inventory-II (BDI-II) and quality of life (QoL) score in patients with AI based on the threshold of a DST cortisol level >0.9 μg/dL.

Methods

This case-control study included 42 nonfunctional adrenal incidentaloma (NFAI), 53 mild autonomic cortisol secretion (MACS) and 42 healthy controls (HCs). In addition, patients were categorized as ≤0.9 and >0.9 μg/dL according to their DST cortisol results.

Results

There was no difference in the QoL and BDI-II scores of MACS compared to NFAI. The BDI-II score was higher and QoL was lower in MACS and NFAI compared to HCs. The difference in QoL and BDI-II scores between MACS and NFAI remained insignificant when the DST cortisol levels threshold was graded upward (5.0 μg/dL). The prevalence of depression was higher in the AI >0.9 μg/dL group than the AI ≤0.9 μg/dL group (respectively, 16.7% and 55.8%, P = .003), BDI-II scores were higher in the AI >0.9 μg/dL group than in the AI ≤0.9 μg/dL group and HCs. The DST was an independent factor affecting the frequency of depression (odds ratio: 1.39, P = .037).

Conclusion

MACS and patients with NFAI had similar QoL and depression scores according to the 1.8 μg/dL and above, whereas, had lower QoL and higher depression scores according to the 0.9 μg/dL.

Objective

This study examined the preoperative and postoperative variables associated with 1 year and long-term insulin independence following total pancreatectomy and islet autotransplantation (TPIAT).

Methods

46 TPIAT patients from 2010 to 2022 in a single hospital system were retrospectively analyzed. Pre- and postoperative variables were compared between short-term (1 year) and long-term (last follow-up after year 1) insulin-independent versus -dependent patients.

Results

Nine (20%) and seven (15%) patients achieved short- and long-term insulin independence, respectively. The patients were followed up for a median of 2.8 years (interquartile range [IQR] 1.0, 4.7). Short-term insulin independence was associated with higher median transplanted islet equivalents (IEQ) per kg (6981 vs 4493, P = .02), lower units of basal insulin on discharge (7 vs 12, P = .009), and lower rates of discharge with an insulin regimen (67% vs 100%, P = .006). Odds of short-term insulin independence increased by 80% for every 1000 increase in IEQ per kg (OR 1.80, CI 1.18-3.12, P = .005) and decreased by 32% for every additional basal unit of insulin on discharge (OR 0.68, CI 0.42-0.91, P = .003) on average. Long-term insulin independence was also associated with transplanted IEQ per kg. No patient on antihyperglycemic medication before surgery achieved insulin independence.

Conclusion

Short- and long-term insulin independence after TPIAT is associated with higher transplanted IEQ per kg and immediate postoperative variables that can be used to inform the discussions clinicians have with their patients regarding glycemic prognosis following TPIAT.

Objective

Cardiac surgery is associated with hyperglycemia, which in turn is associated with adverse postsurgical outcomes such as wound infections, acute renal failure, and mortality. This pilot study seeks to determine if Dexcom G6Pro continuous glucose monitor (Dexcom G6Pro CGM) is accurate during the postoperative cardiac surgery period when fluid shifts, systemic inflammatory response syndrome, and vasoactive medications are frequently encountered, compared to standard glucose monitoring techniques.

Methods

This study received institutional review board approval. In this prospective study, correlation between clinical and Dexcom glucose readings was evaluated. Clinical glucose (blood gas, metabolic panel, and point of care) data set included 1428 readings from 29 patients, while the Dexcom G6Pro CGM data included 45 645 data points following placement to upper arm. Additionally, average clinical measurements of day and overnight temperatures and hemodynamics were evaluated.

Clinical and Dexcom data were restricted to being at least 1 hour after prior clinical reading Matching Dexcom G6Pro CGM data were required within 5 minutes of clinical measure. Data included only if taken at least 2 hours after Dexcom G6Pro CGM insertion (warm-up time) and analyzed only following intensive care unit (ICU) admission. Finally, a data set excluding the first 24 hours after ICU admission was created to explore stability of the device. Patients remained on Dexcom G6Pro CGM until discharge or 10 days postoperatively.

Results

The population was 71% male, 14% with known diabetes; 66% required intravenous insulin infusion. The Clarke error grid plot of all measures post-ICU admission showed 53.5% in zone A, 45.9% in zone B, and 0.6% (n = 5) in zones D or E. The restricted dataset that excluded the first 24 hours post-ICU admission showed 55.9% in zone A, 43.9% in zone B, and 0.2% in zone D. Mean absolute relative difference between clinical and Dexcom G6Pro CGM measures was 20.6% and 21.6% in the entire post-ICU admission data set, and the data set excluding the first 24 hours after ICU admission, respectively. In the subanalysis of the 12 patients who did not have more than a 5-minute tap in the operating room, a consensus error grid, demonstrated that after ICU admission, percentage in zone A was 53.9%, zone B 45.4%, and zone C 0.7%. Similar percentages were obtained removing the first 24 hours post-ICU admission. These numbers are very similar to the entire cohort.

A consensus error grid created post-ICU admission demonstrated: (zone A) 54%, (zone B) 45%, (zone C) 0.9%, and the following for the dataset created excluding the first 24 hours: (zone A) 56%, (zone B) 44%, (zone C) 0.4%, which demonstrated very close agreement with the original Clarke error grid. No adverse events were reported.

Conclusions

Almost 100% of Dexcom G6Pro CGM and clinical dat