Publications by authors named "Rossella di Mussi"

: To investigate the impact of patient characteristics and treatment factors on excessive respiratory drive, effort, and lung-distending pressure during transitioning from controlled to spontaneous assisted ventilation in patients with acute respiratory distress syndrome (ARDS). : Multicenter cohort observational study of patients with ARDS at four academic intensive care units. Respiratory drive (P), diaphragm electrical activity (EAdi), inspiratory effort derived from EAdi (∆Pmus) and from occlusion of airway pressure (∆Pocc) (Pmus), and dynamic transpulmonary driving pressure (ΔP) were measured at the first transition to assisted spontaneous breathing.

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Background: The recruitment-to-inflation ratio (R/I) has been recently proposed to bedside assess response to PEEP. The impact of PEEP on ventilator-induced lung injury depends on the extent of dynamic strain reduction. We hypothesized that R/I may reflect the potential for lung recruitment (i.

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Background: Although patients with interstitial pneumonia pattern (ILD-UIP) and acute exacerbation (AE) leading to severe acute respiratory failure may require invasive mechanical ventilation (MV), physiological data on lung mechanics during MV are lacking. We aimed at describing the physiological effect of lung-protective ventilation in patients with AE-ILD-UIP compared with primary ARDS.

Methods: Partitioned lung and chest wall mechanics were assessed in a series of AE-ILD-UIP patients matched 1:1 with primary ARDS as controls (based on BMI and PaO/FiO ratio).

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Background: According to the Surviving Sepsis Campaign (SSC) fluids and vasopressors are the mainstays of early resuscitation of septic shock while inotropes are indicated in case of tissue hypoperfusion refractory to fluids and vasopressors, suggesting severe cardiac dysfunction. However, septic cardiac disfunction encompasses a large spectrum of severities and may remain "subclinical" during early resuscitation. We hypothesized that "subclinical" cardiac dysfunction may nevertheless influence fluid and vasopressor administration during early resuscitation.

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This is a monocentric and cross-sectional study conducted at the COVID-19 Division of the Obstetrical and Gynecological Unit and Intensive Care Units (ICUs) of Policlinico di Bari, in Bari, Italy, between September 2020 and April 2022. This study aimed to identify the prevalence of severe-critical COVID-19 illness requiring access to the Intensive Care Unit (ICU) among 287 pregnant patients, and possible correlations between the SARS-CoV-2 variants, the specific pandemic wave (dominated by wild, Alpha, Delta, and Omicron strains), and severe-critical adverse maternal outcomes. The prevalence of severe-critical COVID-19 illness was 2.

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Article Synopsis
  • The study investigates the Flow Index, which measures inspiratory flow during pressure support ventilation, to see how accurately it indicates high or low patient inspiratory effort.
  • Data from 24 subjects' 702 breaths was analyzed, with established thresholds for high effort (Flow Index > 4.5) and low effort (Flow Index < 2.6) to differentiate conditions.
  • Results confirmed that the Flow Index is a reliable tool for identifying varying levels of inspiratory effort, outperforming some other breathing pattern parameters.
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Objectives: Clinical observation suggests that early acute respiratory distress syndrome induced by the severe acute respiratory syndrome coronavirus 2 may be "atypical" due to a discrepancy between a relatively unaffected static respiratory system compliance and a significant hypoxemia. This would imply an "atypical" response to the positive end-expiratory pressure.

Design: Single-center, unblinded, crossover study.

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Objectives: Quantification of potential for lung recruitment may guide the ventilatory strategy in acute respiratory distress syndrome. However, there are no quantitative data on recruitability in patients with severe acute respiratory distress syndrome who require extracorporeal membrane oxygenation. We sought to quantify potential for lung recruitment and its relationship with outcomes in this cohort of patients.

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Article Synopsis
  • The study looked at a new method called D-RSBI to help predict if patients can stop using a ventilator.
  • It compares this new method to a traditional way called RSBI, looking at how well each can show if a patient will be successful in breathing on their own.
  • Results showed that D-RSBI is better at predicting if patients will fail to breathe without help compared to RSBI.
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