Lipid ratios and obesity indices are effective predictors of metabolic syndrome in women with polycystic ovary syndrome

Background: Insulin resistance (IR) is common in women with polycystic ovary syndrome (PCOS). Metabolic syndrome (MS) involves IR, arterial hypertension, dyslipidemia, and visceral fat accumulation. Therefore, fatness indices and blood lipid ratios can be considered as screening markers for MS. Our study aimed to evaluate the predictive potential of selected indirect metabolic risk parameters to identify MS in PCOS. Methods: This cross-sectional study involved 596 women aged 18–40 years, including 404 PCOS patients diagnosed according to the Rotterdam criteria and 192 eumenorrheic controls (CON). Anthropometric and blood pressure measurements were taken, and blood samples were collected to assess glucose metabolism, lipid parameters, and selected hormone levels. Body mass index (BMI), waist-to-height ratio (WHtR), homeostasis model assessment for insulin resistance index (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides-to-HDL cholesterol ratio (TG/HDL-C) were calculated. MS was assessed using the International Diabetes Federation (IDF) and the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) criteria. Results: MS prevalence was significantly higher in PCOS versus CON. Patients with both MS and PCOS had more unfavorable anthropometric, hormonal, and metabolic profiles versus those with neither MS nor PCOS and versus CON with MS. LAP, TG/HDL-C, VAI, and WHtR were the best markers and strongest indicators of MS in PCOS, and their cut-off values could be useful for early MS detection. MS risk in PCOS increased with elevated levels of these markers and was the highest when TG/HDL-C was used. Conclusions: LAP, TG/HDL-C, VAI, and WHtR are representative markers for MS assessment in PCOS. Their predictive power makes them excellent screening tools for internists and enables acquiring accurate diagnoses using fewer MS markers.

Qualitative evaluation of the symptoms and quality of life impacts of long-chain fatty acid oxidation disorders

Background: Long-chain fatty acid oxidation disorders (LC-FAOD) are a group of rare autosomal-recessive genetic disorders characterized by metabolic deficiencies in which the body is unable to convert long-chain fatty acids into energy. To date, however, there is limited understanding of the patient experience of LC-FAOD. Methods: The symptoms, observable signs, and quality of life (QoL) impacts associated with LC-FAOD were explored via a focus group ( n = 8) and semi-structured interviews ( n = 6) with patients and caregivers of patients with LC-FAOD, and interviews ( n = 4) with expert clinicians. Data were analyzed via thematic analysis and summarized in a conceptual model. Results: Participants reported a wide range of signs and symptoms associated with LC-FAOD, broadly categorized as musculoskeletal, endocrine/nutritional/metabolic, neurological, gastrointestinal/digestive, sensory, cardiovascular, respiratory, urological, and constitutional. LC-FAOD were reported to have a significant impact on various aspects of patients’ lives including physical functioning, participation in daily activities, emotional/psychological wellbeing, and social functioning. Lifestyle modifications (such as diet and exercise restrictions) were necessary because of the condition. Symptoms were typically episodic in presentation often arising or exacerbated during catabolic conditions such as prolonged exercise, fasting, physiological stress, and illness/infection. Symptoms were also commonly reported to lead to emergency room visits, hospitalization, and clinical complications. Conclusion: LC-FAOD have a considerable impact on patients’ lives. There is a high degree of concordance in the signs, symptoms, and impacts of LC-FAOD reported by patients, caregivers, and clinicians; however, there were many symptoms and impacts that were only reported by patients and caregivers, thus demonstrating that insights from patient/caregiver experience data are integral for informing medical product development and facilitating patient-centered care.

Recent advancement in the treatment of boys and adolescents with hypogonadism

Clinical manifestations and the need for treatment varies according to age in males with hypogonadism. Early foetal-onset hypogonadism results in disorders of sex development (DSD) presenting with undervirilised genitalia whereas hypogonadism established later in foetal life presents with micropenis, cryptorchidism and/or micro-orchidism. After the period of neonatal activation of the gonadal axis has waned, the diagnosis of hypogonadism is challenging because androgen deficiency is not apparent until the age of puberty. Then, the differential diagnosis between constitutional delay of puberty and central hypogonadism may be difficult. During infancy and childhood, treatment is usually sought because of micropenis and/or cryptorchidism, whereas lack of pubertal development and relative short stature are the main complaints in teenagers. Testosterone therapy has been the standard, although off-label, in the vast majority of cases. However, more recently alternative therapies have been tested: aromatase inhibitors to induce the hypothalamic-pituitary-testicular axis in boys with constitutional delay of puberty and replacement with GnRH or gonadotrophins in those with central hypogonadism. Furthermore, follicle-stimulating hormone (FSH) priming prior to hCG or luteinizing hormone (LH) treatment seems effective to induce an enhanced testicular enlargement. Although the rationale for gonadotrophin or GnRH treatment is based on mimicking normal physiology, long-term results are still needed to assess their impact on adult fertility.

Effect of sodium-glucose cotransporter 2 inhibitor in patients with non-alcoholic fatty liver disease and type 2 diabetes mellitus: a propensity score-matched analysis of real-world data

Background: Although sodium-glucose cotransporter 2 inhibitors (SGLT2-Is) improve not only glycemic control but also liver inflammation and fatty changes in patients with non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM), its sustainability and effect on liver fibrosis have remained unclear. The current study aimed to clarify the effects of 48-week SGLT2-I therapy on liver inflammation, fatty changes, and fibrosis in NAFLD patients with T2DM. Methods: This study evaluated the effects of SGLT2-I on NAFLD, including liver fibrosis assessed via transient elastography, in 56 patients with NAFLD who received SGLT2-I for 48 weeks. Moreover, changes in each clinical parameter between patients receiving SGLT2-I (the SGLT2-I group) and those receiving other oral hypoglycemic agents (OHAs) (the non-SGLT2-I group) were compared, using 1:1 propensity score matching to adjust for baseline factors. Results: The SGLT2-I group exhibited a significant decrease in controlled attenuation parameter (312 dB/m at baseline to 280 dB/m at week 48) and liver stiffness measurement (9.1–6.7 kPa) ( p < 0.001 for both). After propensity score matching (44 patients each in the SGLT2-I and non-SGLT2-I groups), no significant difference in HbA1c decrease was observed between the two groups. However, compared with the non-SGLT2-I group, the SGLT2-I group showed a significant decrease in body weight ( p < 0.001), alanine aminotransferase ( p = 0.02), uric acid ( p < 0.001), and Fibrosis-4 (FIB-4) index ( p = 0.01) at week 48. The improvement in FIB-4 index, defined as a ⩾10% decline from baseline at week 48, was 56.8% (25/44) in the SGLT2-I group and 20.5% (9/44) in the non-SGLT2-I group ( p < 0.001). Conclusion: SGLT2-Is improved not only glycemic control but also liver fatty infiltration and fibrosis in patients with NAFLD and T2DM, suggesting their possible superiority to other OHAs concerning these effects.

Amiodarone-induced thyroid dysfunction in children: insights from the THYRAMIO study

Background: Amiodarone treatment is effective against various types of arrhythmias but is associated with adverse effects affecting, among other organs, thyroid function. Amiodarone-induced thyroid dysfunction was not thoroughly evaluated in children as it was in adults, yet this affection may lead to irreversible neurodevelopmental complications. Our study aimed to define the incidence and risk factors of amiodarone-induced thyroid dysfunction in children. Methods: The study was designed as an observational study with a retrospective clinical series of 152 children treated by amiodarone in the Pediatric Cardiology Unit of our center from 1990 to 2019. All patients were divided into three groups according to their thyroid status: euthyroid, AIH (amiodarone-induced hypothyroidism) or AIT (amiodarone-induced thyrotoxicosis). Patients from these three groups were compared in terms of key clinical and therapeutic features. Results: Amiodarone-induced thyroid dysfunction was present in 23% of patients. AIT (5.3%) was three times less common than AIH (17.7%), and its occurrence increased with older age ( p < 0.05), treatment dosage ( p < 0.05), treatment duration ( p < 0.05) and the number of loading doses administered ( p < 0.05). There were no distinctive clinical features between euthyroid and AIH groups. A multivariable prediction model of AIT was built, with a yield of 66.7% as positive predictive value and 96.7% as negative predictive value. Conclusion: We observed that one in five children developed amiodarone-induced thyroid dysfunction. Special attention is required for older children with a high dosage and long-term therapy and who received a large number of loading doses, since these children are at risk to develop AIT, which is more delicate to manage than AIH.

Increased insulin resistance in intensive care: longitudinal retrospective analysis of glycaemic control patients in a New Zealand ICU

Background: Critical care populations experience demographic shifts in response to trends in population and healthcare, with increasing severity and/or complexity of illness a common observation worldwide. Inflammation in critical illness impacts glucose–insulin metabolism, and hyperglycaemia is associated with mortality and morbidity. This study examines longitudinal trends in insulin sensitivity across almost a decade of glycaemic control in a single unit. Methods: A clinically validated model of glucose–insulin dynamics is used to assess hour–hour insulin sensitivity over the first 72 h of insulin therapy. Insulin sensitivity and its hour–hour percent variability are examined over 8 calendar years alongside severity scores and diagnostics. Results: Insulin sensitivity was found to decrease by 50–55% from 2011 to 2015, and remain low from 2015 to 2018, with no concomitant trends in age, severity scores or risk of death, or diagnostic category. Insulin sensitivity variability was found to remain largely unchanged year to year and was clinically equivalent (95% confidence interval) at the median and interquartile range. Insulin resistance was associated with greater incidence of high insulin doses in the effect saturation range (6–8 U/h), with the 75th percentile of hourly insulin doses rising from 4–4.5 U/h in 2011–2014 to 6 U/h in 2015–2018. Conclusions: Increasing insulin resistance was observed alongside no change in insulin sensitivity variability, implying greater insulin needs but equivalent (variability) challenge to glycaemic control. Increasing insulin resistance may imply greater inflammation and severity of illness not captured by existing severity scores. Insulin resistance reduces glucose tolerance, and can cause greater incidence of insulin saturation and resultant hyperglycaemia. Overall, these results have significant clinical implications for glycaemic control and nutrition management.

A novel drug response score more accurately predicts renoprotective drug effects than existing renal risk scores

Background: Risk factor-based equations are used to predict risk of kidney disease progression in patients with type 2 diabetes order to guide treatment decisions. It is, however, unknown whether these models can also be used to predict the effects of drugs on clinical outcomes. Methods: The previously developed Parameter Response Efficacy (PRE) score, which integrates multiple short-term drug effects, was first compared with the existing risk scores, Kidney Failure Risk Equation (KFRE) and The Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) renal risk score, in its performance to predict end-stage renal disease (ESRD; KFRE) and doubling of serum creatinine or ESRD (ADVANCE). Second, changes in the risk scores were compared after 6 months’ treatment to predict the long-term effects of losartan on these renal outcomes in patients with type 2 diabetes and chronic kidney disease. Results: The KFRE, ADVANCE and PRE scores showed similarly good performance in predicting renal risk. However, for prediction of the effect of losartan, the KFRE risk score predicted a relative risk change in the occurrence of ESRD of 3.1% [95% confidence interval (CI) −5 to 12], whereas the observed risk change was −28.8% (95% CI −42.0 to −11.5). For the composite endpoint of doubling of serum creatinine or ESRD, the ADVANCE score predicted a risk change of −12.4% (95% CI −17 to −7), which underestimated the observed risk change −21.8% (95% CI −34 to −6). The PRE score predicted renal risk changes that were close to the observed risk changes with losartan treatment [−24.0% (95% CI −30 to −17) and −22.6% (95% CI −23 to −16) for ESRD and the composite renal outcome, respectively]. Conclusion: A drug response score such as the PRE score may assist in improving clinical decision making and implement precision medicine strategies.

The relation of anatomical distribution of symptomatic peripheral arterial disease (PAD) with HbA1c level in patients with type 2 diabetes mellitus

Aims: Increased level of glycated hemoglobin (HbA1c) is associated with an increased prevalence of peripheral arterial disease (PAD). This study aimed to assess the relationship between the anatomical distribution of symptomatic PAD lesions in patients with type 2 diabetes and HbA1c levels at the time of PAD diagnosis. Patients and methods: A retrospective study was conducted at King Abdullah University Hospital during the period August 2011 to December 2015. Consecutive patients with type 2 diabetes presented with symptomatic PAD confirmed by computed tomography-angiography (CTA) were included in this study. CTA images were reviewed. Relevant information including demographic data, PAD symptoms, comorbidities, HbA1c level, lipid profile, C-reactive protein and the mean platelets volume were retrieved from medical records. Results: A total of 332 patients with type 2 diabetes (255 males and 77 females) were included in this study. The mean HbA1c at the time of PAD diagnosis was 8.68% (±2.06%). The prevalence of hemodynamic relevant atherosclerotic lesions of the superficial femoral artery, popliteal artery, leg vessels, femoro-popliteal, and crural segments was significantly higher in patients with HbA1c >7.5% compared with patients with HbA1c ⩽7.5%. Conclusion: The anatomical distribution of symptomatic PAD in patients with type 2 diabetes mellitus differed significantly according to HbA1c level at the time of PAD diagnosis.

Diabetes clinic reinvented: will technology change the future of diabetes care?

Diabetes is a chronic disease that affects nearly 463 million people globally and involves multiple co-morbid conditions that require effective treatment and continuous management. These include lifestyle and behavioral modifications, compliance to diabetes medications and close patient monitoring, all of which can be efficiently conducted via telehealth. Integrating digital technology of telehealth and mobile health into diabetes care may improve diabetes management and increase its efficiency. In this review, we examine recent advances in healthcare technology of diabetes. Moreover, we present an example of a comprehensive virtual diabetes clinic, the “Joslin HOME,” as an innovative digital ecosystem for future application in diabetes care. This model utilizes digital health technology and comprises frequent short visits with easy two-way scheduling, focused documentation and simple billing methods. In this new model, a multidisciplinary team is connected with their patients using telehealth and mobile health to overcome the barriers of distance and location. It may possibly extend quality diabetes care to remote, underserved or rural areas.

Current concept of stress fractures with an additional category of atypical fractures: a perspective review with representative images

Stress fractures have traditionally been classified into three categories: fatigue fractures due to overuse of bone with normal elastic resistance; insufficiency fractures due to everyday physiological stress on fragile bone with poor elastic resistance; and pathologic fractures due to bone weakness involving tumors. The concept of atypical fractures has emerged and is considered a type of stress fracture. However, there has been some inconsistency in interpretation when using the traditional classification of stress fractures, and atypical femoral fractures (AFFs) can potentially be classified into subtypes: “typical” AFFs involving bone turnover suppression due to specific drugs (e.g. bisphosphonates) and fragility fractures of the bowed femoral shaft. In this article, the classification of stress fractures is redefined with the addition of atypical fractures as a fourth category, in which biological activity for fracture healing is absent, to promote consistent understanding and interpretation of clinical conditions involving stress fractures.