Publications by authors named "R Lyerla"

Purpose: This study aimed to examine the prevalence of cognitive-communication deficits in adult cancer survivors who reported experiencing cancer-related cognitive impairment (CRCI). The study also aimed to determine how these problems impact their ability to engage socially and find satisfaction in their social roles.

Method: This study employed a cross-sectional survey to collect data from adult cancer survivors.

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Background: Patients with advanced heart failure (AHF) are extensively evaluated before heart transplantation or left ventricular assist device (LVAD) eligibility. Patients are assessed for medical need and psychosocial or economic factors that may affect success post-treatment. For patients to be evaluated, however, they first must be referred.

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Article Synopsis
  • Study Overview
  • : This research analyzed the factors leading to recurrent diabetic ketoacidosis (DKA) in 265 patients hospitalized at Hennepin County Medical Center from January 2017 to January 2019, focusing on differences between those with single versus multiple admissions.
  • Key Findings
  • : 48 patients experienced recurrent DKA, with significant risk factors being African American race, younger age, type 1 diabetes, history of homelessness, and drug abuse, showing a strong correlation between social determinants and recurrence.
  • Implications
  • : The high cost associated with DKA admissions (averaging nearly $30,000) underscores the necessity for targeted preventative care programs to reduce recurrence and improve patient outcomes.
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To develop and validate a brief, structured, behavioral health module for use by local public health practitioners to rapidly assess behavioral health needs in disaster settings. Data were collected through in-person, telephone, and web-based interviews of 101 individuals affected by Hurricanes Katrina (n = 44) and Sandy (n = 57) in New Orleans and New Jersey in April and May 2018, respectively. Questions included in the core module were selected based on convergent validity, internal consistency reliability, test-retest reliability across administration modes, principal component analysis (PCA), question comprehension, efficiency, accessibility, and use in population-based surveys.

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Metagenomic next-generation sequencing is a powerful method for pathogen detection that combines advanced genome sequencing technology with cutting-edge bioinformatics to analyze microbial populations. Metagenomic next-generation sequencing has the potential to identify uncommon, unculturable, and even previously unidentified pathogens from a clinical isolate. Of particular interest to ophthalmology, this robust data extraction can occur from very small volume clinical samples.

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