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Related Concept Videos

Acute Respiratory Failure-V01:29

Acute Respiratory Failure-V

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The treatment for acute respiratory failure varies based on factors like the underlying cause, overall health, and severity. A collaborative healthcare team is essential for early detection, often through arterial blood gas analysis. Identifying the cause is the primary goal, with treatment strategies adjusted for ventilation/perfusion (V/Q) mismatch, shunting, or diffusion impairment.
Ensure that patients are monitored continuously for their response to therapy, including changes in...
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Assessment of Ventilation
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
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The respiratory system's basic structures and primary functions lay the foundation for nurses' comprehensive respiratory assessments. This assessment includes subjective and objective data to gauge the patient's respiratory health.
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Respiratory assessment is a cornerstone of nursing assessments, crucial for the early detection of patient deterioration. This evaluation transcends routine procedures, representing a critical skill nurses must master to ensure optimal patient care.
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Physical assessment of the respiratory tract is critical to patient care. It allows healthcare professionals to identify and manage various respiratory conditions. The process involves a combination of subjective and objective data collection.
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Electronic Health Record-Based Algorithm for Monitoring Respiratory Virus-Like Illness.

Noelle M Cocoros, Karen Eberhardt, Vu-Thuy Nguyen

    Emerging Infectious Diseases
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    Summary

    A new automated system, Respiratory Viral-Like Illness (RAVIOLI) surveillance, enhances tracking of multiple respiratory viruses beyond traditional influenza-like illness (ILI) methods. This advanced approach offers broader, more sensitive, and specific insights into viral respiratory illness trends.

    Keywords:
    MassachusettsRAVIOLIUnited Statesalgorithmsdisease surveillanceelectronic health recordsinfluenza-like illnessrespiratory infectionsrespiratory virus–like illnessviruses

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    Area of Science:

    • Public Health
    • Epidemiology
    • Infectious Diseases

    Background:

    • Traditional viral respiratory illness surveillance often focuses on single pathogens like influenza.
    • Existing methods like influenza-like illness (ILI) surveillance require fever and may miss co-circulating viruses.
    • There is a need for more comprehensive surveillance systems to monitor diverse respiratory viral threats.

    Purpose of the Study:

    • To develop and evaluate an automated system for monitoring respiratory viral-like illness (RAVIOLI) across multiple pathogens.
    • To compare the effectiveness of the RAVIOLI system with traditional ILI surveillance methods.
    • To enhance the scope, granularity, sensitivity, and specificity of respiratory viral illness surveillance.

    Main Methods:

    • Developed an automated system integrating laboratory test and syndrome criteria using electronic health records (EHRs).
    • Defined RAVIOLI syndrome using diagnosis codes for respiratory viral testing, positive viral assays, or fever.
    • Retrospectively applied RAVIOLI criteria to EHR data from three practice groups in Massachusetts, USA (2015-2024).

    Main Results:

    • Observed distinct annual winter peaks (2015-2019) primarily due to influenza.
    • Identified cyclic peaks from SARS-CoV-2 (2020-2024), RSV (mid-2021, late 2022), and recurrent influenza (late 2022, 2023).
    • RAVIOLI surveillance demonstrated higher rates and more pronounced fluctuations than traditional ILI surveillance.

    Conclusions:

    • The automated RAVIOLI system effectively monitors trends in respiratory viral-like illness across multiple pathogens.
    • RAVIOLI offers a more comprehensive and sensitive surveillance approach compared to traditional ILI methods.
    • This system improves the granularity and specificity of tracking diverse respiratory viral threats.