Publications by authors named "J A Martinez-Salazar"

Polyneuropathy, Organomegaly, Endocrinopathy, Monoclonal Gammopathy, and Skin Changes (POEMS) syndrome is a rare paraneoplastic disorder caused by plasma cell proliferation and overproduction of cytokines, particularly vascular endothelial growth factor (VEGF). This complex syndrome affects multiple organ systems and presents with a broad range of clinical and laboratory manifestations, which can complicate both diagnosis and management. Not all components of the acronym are observed in every patient, highlighting the clinical heterogeneity of the condition.

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Purpose Of Review: This review focuses on the association between RA and heart failure, highlighting the role of inflammation and the prevalence of heart failure with preserved ejection fraction (HFpEF) in this population.

Recent Findings: The incidence of heart failure in RA patients is two to three times higher than in the general population, with inflammation playing a significant role independent of traditional cardiovascular risk factors. HFpEF accounts for about half of heart failure cases and is increasingly recognized in RA patients, although it remains underdiagnosed.

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Article Synopsis
  • Systemic lupus erythematosus (SLE) is a serious autoimmune disease primarily affecting young women and can lead to severe health complications and even death.
  • Diagnosing SLE is challenging due to its wide range of symptoms and the lack of definitive criteria, but methods like the ACR/EULAR classification from 2019 are commonly used.
  • A case report is highlighted where unusual neuropsychiatric and skin symptoms played a crucial role in diagnosing a patient with SLE, emphasizing the importance of early detection.
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Predictive models play a crucial role in RBMs to analyze performance indicator results to manage unexpected events and make timely decisions to resolve them. Their use in Mexico is deficient, and monitoring and evaluation are among the weakest pillars of the model. In response to these needs, the aim of this study was to perform a comparative analysis of three predictive models to analyze 10 medical performance indicators and cancer data related to children with cancer.

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The AS-48 bacteriocin is a potent antimicrobial polypeptide with enhanced stability due to its circular sequence of peptidic bonds. The mechanism of biological action is still not well understood in spite of both the elucidation of the molecular structure some years ago and several experiments performed that yielded valuable information about the AS-48 bacterial membrane poration activity. In this work, we present a computational study at an atomistic scale to analyze the membrane disruption mechanism.

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