Journal of investigative medicine : the official publication of the American Federation for Clinical Research
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Deep neck space infections (DNSI) are severe infections within the layers of neck fascia that are known to be associated with underlying immunocompromised states. Although uremia associated with kidney disease is known to cause immune system dysfunction, DNSI in patients with kidney disease has been poorly studied. This study investigated the prevalence of DNSI and the associated risk of mortality within the United States end-stage renal disease (ESRD) population, using a retrospective cohort study design and the United States Renal Data System database of patients (ages 18-100) who initiated dialysis therapy between 2005 and 2019. ⋯ Variables associated with increased risk of DNSI were female sex, black compared to white race, catheter, or graft compared to arteriovenous fistula (AVF) access, autoimmune disease, chronic tonsillitis, diagnoses in the Charlson Comorbidity Index (CCI), tobacco use, and alcohol dependence. DNSI diagnosis was an independent risk factor for mortality, which was also associated with other comorbidity factors such as older age, catheter or graft compared to AVF access, comorbidities in the CCI, tobacco use, and alcohol dependence. Because of the increased mortality risk of DSNI in the ESRD population, health professionals should encourage good oral hygiene practices and smoking cessation, and they should closely monitor these patients to reduce poor outcomes.
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Telemedicine is seen as a useful tool in reducing gaps in health care but this technology-enabled care can also exacerbate health inequity if not implemented with a focus on inclusivity. Though many studies have reported improvements as well as exacerbation of disparities in access to care in their telehealth programs, there does not exist a common evaluation tool to assess these programs. To mitigate the impact of COVID-19 on health care workers and protect medically vulnerable children, in March 2020 we expanded our pre-established specialty and subspecialty direct-to-patient pediatric telemedicine program in a high volume urban pediatric health system. ⋯ Future identification of these specific barriers is needed. The tool to evaluate telehealth impact/access to care through a "Pillars of Access" approach presented here could serve as a model for implementation of telehealth programs. Our study highlights telemedicine programs as a mechanism to address healthcare inequity and overcome barriers to care.
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Randomized Controlled Trial
EXPRESS: Effects of Prehabilitation Resistance Training in Mild to Moderate Clinically Frail Patients Awaiting Coronary Artery Bypass Graft Surgery.
Coronary artery disease is one of the main causes of mortality and morbidity among chronic heart diseases worldwide. Patients reported chronic chest pain as the primary symptom of coronary artery disease. Due to its progressive nature, it affects the health status and functional capacity of the patients. ⋯ Clinical frailty scores in group A and group B were 2.68 and 2.74, respectively, with the essential frailty toolset in group A and group B were 1.14 and 1.11, respectively. There were significant (p < 0.05) differences within and between groups for prehabilitation resistance training after CABG. The study showed that the resistance training group had improved the clinical frailty score, strength, endurance, and functional capacity in patients who underwent elective CABG.
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The generalizability of artificial intelligence (AI) models is a major issue in the field of AI applications. Therefore, we aimed to overcome the generalizability problem of an AI model developed for a particular center for pneumothorax detection using a small dataset for external validation. Chest radiographs of patients diagnosed with pneumothorax (n = 648) and those without pneumothorax (n = 650) who visited the Ankara University Faculty of Medicine (AUFM; center 1) were obtained. ⋯ The positive predictive value increased from 0.525 to 0.886 after external validation (p = 0.041). The physicians' sensitivity and specificity for detecting pneumothorax were 0.585 and 0.988, respectively. The performance scores of the algorithms were increased with a small dataset; however, further studies are required to determine the optimal amount of external validation data to fully address the generalizability issue.