Burden of Uncontrolled Hyperglycemia and Its Association with Patients Characteristics and Socioeconomic Status in Philadelphia, USA

The Hawkins Sign of the Talus: The Impact of Patient Factors on Prediction Accuracy

BACKGROUND

Osteonecrosis is a complication of talar neck fractures associated with chronic pain and poor functional outcomes. The Hawkins sign, the radiographic presence of subchondral lucency seen in the talar dome 6 to 8 weeks after trauma, is a strong predictor of preserved talar vascularity. This study sought to assess the accuracy of the Hawkins sign in a contemporary cohort and assess factors associated with inaccuracy.

METHODS

A retrospective review of talar neck fractures at a level-I trauma center from 2008 to 2016 was conducted. Both the Hawkins sign and osteonecrosis were evaluated on radiographs. The Hawkins sign was determined on the basis of radiographs taken approximately 6 to 8 weeks after injury, whereas osteonecrosis was determined based on radiographs taken throughout follow-up. The Hawkins sign accuracy was assessed using proportions with 95% confidence intervals (CIs), and associations were examined with Fisher exact testing.

RESULTS

In total, 105 talar neck fractures were identified. The Hawkins sign was observed in 21 tali, 3 (14% [95% CI, 3% to 36%]) of which later developed osteonecrosis. In the remaining 84 tali without a Hawkins sign, 32 (38% [95% CI, 28% to 49%]) developed osteonecrosis. Of the 3 tali that developed osteonecrosis following observation of the Hawkins sign, all were in patients who smoked.

CONCLUSIONS

A positive Hawkins sign may not be a reliable predictor of preserved talar vascularity in all patients. We identified 3 patients with a positive Hawkins sign who developed osteonecrosis, all of whom were smokers. Factors impairing the restoration of microvascular blood supply to the talus may lead to osteonecrosis despite the presence of preserved macrovascular blood flow and an observed Hawkins sign. Further research is needed to understand the factors limiting Hawkins sign accuracy.

LEVEL OF EVIDENCE

Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.

Mucormycosis, the Black Fungus in the Post-COVID-19 Pandemic: A Case Report with Review of Literature

Mucormycosis, a concerning and often fatal fungal infection, has shown a significant rise in cases following the COVID-19 pandemic in India, particularly affecting patients with uncontrolled comorbidities such as diabetes mellitus and other immunocompromised individuals. Our case series examines five instances of mucormycosis, supported by appropriate radiographic and histopathological evidence correlating with clinical observations. Our review indicated that patients were experiencing ailments or undergoing treatments that compromised their immune systems. We analyzed additional epidemiological data, including common infection sites, gender predispositions, and mortality rates. Treatments were tailored based on symptom severity, encompassing both surgical and medical approaches. The primary reason for the rise in cases was linked to elevated glycaemic levels and weakened immunity among post-COVID-19 patients. The report provides a detailed explanation of the factors contributing to this correlation. Our findings underscore the critical importance of timely surgical intervention and advocate for further investigation into treatment efficacy and symptom monitoring specific to mucormycosis in post-COVID-19 patients in India.

Association of multiple metabolic and cardiovascular markers with the risk of cognitive decline and mortality in adults with Alzheimer's disease and AD-related dementia or cognitive decline: a prospective cohort study

Background and objectives

There is a scarcity of data stemming from large-scale epidemiological longitudinal studies focusing on potentially preventable and controllable risk factors for Alzheimer's disease (AD) and AD-related dementia (ADRD). This study aimed to examine the effect of multiple metabolic factors and cardiovascular disorders on the risk of cognitive decline and AD/ADRD.

Methods

We analyzed a cohort of 6,440 participants aged 45-84 years at baseline. Multiple metabolic and cardiovascular disorder factors included the five components of the metabolic syndrome [waist circumference, high blood pressure (HBP), elevated glucose and triglyceride (TG) concentrations, and reduced high-density lipoprotein cholesterol (HDL-C) concentrations], C-reactive protein (CRP), fibrinogen, interleukin-6 (IL-6), factor VIII, D-dimer, and homocysteine concentrations, carotid intimal-medial thickness (CIMT), and urine albumin-to-creatinine ratio (ACR). Cognitive decline was defined using the Cognitive Abilities Screening Instrument (CASI) score, and AD/ADRD cases were classified using clinical diagnoses.

Results

Over an average follow-up period of 13 years, HBP and elevated glucose, CRP, homocysteine, IL-6, and ACR concentrations were significantly associated with the risk of mortality in the individuals with incident AD/ADRD or cognitive decline. Elevated D-dimer and homocysteine concentrations, as well as elevated ACR were significantly associated with incident AD/ADRD. Elevated homocysteine and ACR were significantly associated with cognitive decline. A dose-response association was observed, indicating that an increased number of exposures to multiple risk factors corresponded to a higher risk of mortality in individuals with cognitive decline or with AD/ADRD.

Conclusion

Findings from our study reaffirm the significance of preventable and controllable factors, including HBP, hyperglycemia, elevated CRP, D-dimer, and homocysteine concentrations, as well as, ACR, as potential risk factors for cognitive decline and AD/ADRD.

Emergence of Rhino-Orbito-Cerebral Mucormycosis in Peru: Impact of the COVID-19 Pandemic

Introduction Mucormycosis is an invasive fungal infection caused by Mucorales that has been increasingly recognized over the years, particularly during the COVID-19 pandemic. Nevertheless, in Peru, there has been limited research on this disease. This study seeks to provide insights into the demographics, clinical presentations, treatment, and outcomes of patients with mucormycosis, before and during the COVID-19 pandemic. Materials and methods We conducted a retrospective case series by reviewing the medical records of Peruvian patients hospitalized at a referral medical center between 2017 and 2021. The selection criteria included patients aged 18 years or older with clinical features of rhino-orbito-cerebral mucormycosis supported by radiological imaging. We extracted data related to risk factors for mucormycosis infection, clinical presentation, management, and hospitalization. Data analysis was performed using Stata software (StataCorp LLC, College Station, Texas, USA) to compare patient groups before and during the COVID-19 pandemic. Results Nineteen cases met our selection criteria: 11 men and eight women with an average age of 57.6 ± 10.6 years. All 19 patients had type 2 diabetes mellitus as comorbidity, with 13 cases exhibiting uncontrolled diabetes. Six patients presented before the COVID-19 pandemic, while 13 during its course. Within the group of patients diagnosed during the pandemic, nine were diagnosed with SARS-CoV-2 infection. Regarding the site of mucormycosis infection, the paranasal sinuses were predominantly involved. Survival analysis indicated that patients who developed mucormycosis during the COVID-19 pandemic, those with uncontrolled diabetes, or those who did not undergo surgery had lower probabilities of survival. Conclusion Mucormycosis is a rare infection associated with high mortality and morbidity with increased frequency during the COVID-19 pandemic. Early diagnosis, timely administration of antifungal treatment, surgery, and effective management of comorbidities can have life-saving implications. Unfortunately, despite the availability of various diagnostic tests and less toxic antifungal options such as liposomal amphotericin-B, such resources are not accessible in Peru's national hospitals.

Movement Is Life-Optimizing Patient Access to Total Joint Arthroplasty: Diabetes Mellitus Disparities

This is one of a series of articles that focuses on maximizing access to total joint arthroplasty by providing preoperative optimization pathways to all patients to promote the best results and minimize postoperative complications. Because of inequities in health care, an optimization process that is not equipped to support the underserved can potentially worsen disparities in the utilization of arthroplasty. A staggering 10.5% of the American population lives with diabetes mellitus. Diabetes prevalence is 17% higher in rural communities compared with urban communities. Rates of diabetes are higher in African American, Hispanic, and American Indian populations. Barriers to health care are higher in rural areas and for vulnerable communities, positioning the management of diabetes at the intersection of risk. Poor glycemic control is a predictor of periprosthetic joint infection. Optimization tools include assessing for food security, knowledge of a social safety net and community resources, patient diabetic literacy, and relationships with primary care providers to ensure continuous check-ins as well as partnering with specialty endocrine diabetic clinics. Several strategic recommendations, such as healthcare navigators and promotores (Latinx population), are made to enable and empower, such as continuous glucose monitoring, the preoperative patient to reach a safe preoperative optimization goal for their TJA surgery.

Epidemiology for public health practice: The application of spatial epidemiology

Spatial epidemiology is the description and analysis of geographic patterns and variations in disease risk factors, morbidity and mortality with respect to their distributions associated with demographic, socioeconomic, environmental, health behavior, and genetic risk factors, and time-varying changes. In the Letter to Editor, we had a brief description of the practice for the mortality and the space-time patterns of John Snow's map of cholera epidemic in London, United Kingdom in 1854. This map is one of the earliest public heath practices of developing and applying spatial epidemiology. In the early history, spatial epidemiology was predominantly applied in infectious disease and risk factor studies. However, since the recent decades, noncommunicable diseases have become the leading cause of death in both developing and developed countries, spatial epidemiology has been used in the study of noncommunicable disease. In the Letter, we addressed two examples that applied spatial epidemiology to cluster and identify stroke belt and diabetes belt across the states and counties in the United States. Similar to any other epidemiological study design and analysis approaches, spatial epidemiology has its limitations. We should keep in mind when applying spatial epidemiology in research and in public health practice.