Imran Gani

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to significant reductions in transplantation, motivated in part by concerns of disproportionately more severe disease among solid organ transplant (SOT) recipients. However, clinical features, outcomes, and predictors of mortality in SOT recipients are not well described. METHODS: We performed a multicenter cohort study of SOT recipients with laboratory-confirmed COVID-19. Data were collected using standardized intake and 28-day follow-up electronic case report forms. Multivariable logistic regression was used to identify risk factors for the primary endpoint, 28-day mortality, among hospitalized patients. RESULTS: Four hundred eighty-two SOT recipients from >50 transplant centers were included: 318 (66%) kidney or kidney/pancreas, 73 (15.1%) liver, 57 (11.8%) heart, and 30 (6.2%) lung. Median age was 58 (interquartile range [IQR] 46-57), median time post-transplant was 5 years (IQR 2-10), 61% were male, and 92% had ≥1 underlying comorbidity. Among those hospitalized (376 [78%]), 117 (31%) required mechanical ventilation, and 77 (20.5%) died by 28 days after diagnosis. Specific underlying comorbidities (age >65 [adjusted odds ratio [aOR] 3.0, 95% confidence interval [CI] 1.7-5.5, P < .001], congestive heart failure [aOR 3.2, 95% CI 1.4-7.0, P = .004], chronic lung disease [aOR 2.5, 95% CI 1.2-5.2, P = .018], obesity [aOR 1.9, 95% CI 1.0-3.4, P = .039]) and presenting findings (lymphopenia [aOR 1.9, 95% CI 1.1-3.5, P = .033], abnormal chest imaging [aOR 2.9, 95% CI 1.1-7.5, P = .027]) were independently associated with mortality. Multiple measures of immunosuppression intensity were not associated with mortality. CONCLUSIONS: Mortality among SOT recipients hospitalized for COVID-19 was 20.5%. Age and underlying comorbidities rather than immunosuppression intensity-related measures were major drivers of mortality.

In this letter, two skin-implantable biotelemetry devices are presented along with an antenna system that operates on five bands, including the Medical Implant Communication Service (MICS) (402-405 MHz) and the Industrial, Scientific, and Medical (ISM) (433.1-434.8 MHz, 868.0-868.6 MHz, 902-928 MHz, 2400.0-2483.5 MHz) bands. A link budget analysis was used to configure an algorithm for effective device operation. These devices contain space for storage batteries, controlling electronics, and bio-sensors, along with a planar inverted-F antenna (PIFA), and have total volume of 617 and 510 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> respectively. These devices were primarily designed and simulated in different environments with FDTD software. In addition, the performance of the antenna system was evaluated from measurements made inside a skin-mimicking semi-solid homogeneous phantom. This research shows that multi-channel communication will enhance the diversity of biotelemetry devices.

BACKGROUND: There is a high prevalence of cognitive impairment in dialysis patients. The prevalence of cognitive impairment after kidney transplantation is unknown. METHODS: Study Design: Cross-sectional study. SETTING AND PARTICIPANTS: Single center study of prevalent kidney transplant recipients from a transplant clinic in a large academic center. INTERVENTION: Assessment of cognition using the Montreal Cognitive Assessment (MoCA). Demographic and clinical variables associated with cognitive impairment were also examined. Outcomes and Measurements: a) Prevalence of cognitive impairment defined by a MoCA score of <26. b) Multivariable linear and logistic regression to examine the association of demographic and clinical factors with cognitive impairment. RESULTS: Data from 226 patients were analyzed. Mean (SD) age was 54 (13.4) years, 73% were white, 60% were male, 37% had diabetes, 58% had an education level of college or above, and the mean (SD) time since kidney transplant was 3.4 (4.1) years. The prevalence of cognitive impairment was 58.0%. Multivariable linear regression demonstrated that older age, male gender and absence of diabetes were associated with lower MoCA scores (p < 0.01 for all). Estimated glomerular filtration rate (eGFR) was not associated with level of cognition. The logistic regression analysis confirmed the association of older age with cognitive impairment. CONCLUSION: Cognitive impairment is common in prevalent kidney transplant recipients, at a younger age compared to general population, and is associated with certain demographic variables, but not level of eGFR.

Diabetes is a chronic endocrine disease with global prevalence and increasing incidence. Diabetes presents with a major health issue in all age groups in the present times owing to its multisystem involvement and serious complications. In spite of drug development and therapeutic interventions, successful treatment of diabetes still remains a challenge and worldwide research is focused on finding alternative modalities. By conducting sizable amount of analytical work, numerous traditional medicines have been found for diabetes. Substances and extracts isolated from completely different natural resources particularly plants have perpetually been a fashionable arsenal for dominant and treating polygenic disorders downside and complication arising because of it. Many medicinal plants have shown promising effects in experimental animals which can be extrapolated to humans also. In this paper, we will review various medicinal plants showing anti-diabetic activity in experimental animals.

Polycystic Ovary Syndrome (PCOS) is the most common, yet complex, endocrine disorder affecting women in their reproductive years and is a leading cause of infertility. This disease appears to be multifactorial and polygenic in nature involving multisystem dysfunction, namely reproduction, endocrine and metabolic. Hyperandrogenism and insulin resistance appear to be central cause to the pathophysiology of the disease. The glucose and insulin metabolism pathways have been studied and debated to understand whether Insulin Resistance is due to a defect in insulin action or a primary defect in β-cell function or decreased hepatic clearance of insulin, or a combination of all these factors. Numerous studies have demonstrated that obese, normal weight and thin women with PCOS have a form of insulin resistance that is unique and intrinsic to the disorder. Moreover obese women with PCOS possess an additional burden of insulin resistance resulting from their excess adiposity. Hyperinsulinemia leads to increase in androgen production directly by acting as a co-gonadotropin, augmenting Luteinizing Hormone activity within the ovary, and indirectly by increasing serum LH pulse amplitude. Whereas Androgens may in turn contribute at least partially to the insulin resistance state linked with PCOS. In this review, we will briefly study the role of insulin resistance in polycystic ovary syndrome.&#x0D; Keywords: Polycystic ovary syndrome, insulin resistance, Hyperandrogenism.