Flow starvation during square-flow assisted ventilation detected by supervised deep learning techniques.

BACKGROUND: Flow starvation is a type of patient-ventilator asynchrony that occurs when gas delivery does not fully meet the patients' ventilatory demand due to an insufficient airflow and/or a high inspiratory effort, and it is usually identified by visual inspection of airway pressure waveform. Clinical diagnosis is cumbersome and prone to underdiagnosis, being an opportunity for artificial intelligence. Our objective is to develop a supervised artificial intelligence algorithm for identifying airway pressure deformation during square-flow assisted ventilation and patient-triggered breaths. METHODS: Multicenter, observational study. Adult critically ill patients under mechanical ventilation > 24 h on square-flow assisted ventilation were included. As the reference, 5 intensive care experts classified airway pressure deformation severity. Convolutional neural network and recurrent neural network models were trained and evaluated using accuracy, precision, recall and F1 score. In a subgroup of patients with esophageal pressure measurement (ΔPes), we analyzed the association between the intensity of the inspiratory effort and the airway pressure deformation. RESULTS: 6428 breaths from 28 patients were analyzed, 42% were classified as having normal-mild, 23% moderate, and 34% severe airway pressure deformation. The accuracy of recurrent neural network algorithm and convolutional neural network were 87.9% [87.6-88.3], and 86.8% [86.6-87.4], respectively. Double triggering appeared in 8.8% of breaths, always in the presence of severe airway pressure deformation. The subgroup analysis demonstrated that 74.4% of breaths classified as severe airway pressure deformation had a ΔPes > 10 cmH2O and 37.2% a ΔPes > 15 cmH2O. CONCLUSIONS: Recurrent neural network model appears excellent to identify airway pressure deformation due to flow starvation. It could be used as a real-time, 24-h bedside monitoring tool to minimize unrecognized periods of inappropriate patient-ventilator interaction.

Characterization of postintensive care syndrome in a prospective cohort of survivors of COVID-19 critical illness: a 12-month follow-up study.

PURPOSE: Studies integrating an exhaustive longitudinal long-term follow-up of postintensive care syndrome (PICS) in critically ill COVID-19 survivors are scarce. We aimed to 1) describe PICS-related sequelae over a 12-month period after intensive care unit (ICU) discharge, 2) identify relevant demographic and clinical factors related to PICS, and 3) explore how PICS-related sequelae may influence health-related quality of life (HRQoL) in critically ill COVID-19 survivors. METHODS: We conducted a prospective cohort study in adult critically ill survivors of SARS-CoV-2 infection that did or did not need invasive mechanical ventilation (IMV) during the COVID-19 pandemic in Spain (March 2020 to January 2021). We performed a telemedicine follow-up of PICS-related sequelae (physical/functional, cognitive, and mental health) and HRQoL with five data collection points. We retrospectively collected demographic and clinical data. We used multivariable mixed-effects models for data analysis. RESULTS: We included 142 study participants in the final analysis, with a median [interquartile range] age of 61 [53-68] yr; 35% were female and 59% needed IMV. Fatigue/dyspnea, pain, impaired muscle function, psychiatric symptomatology and reduced physical HRQoL were prominent sequelae early after ICU discharge. Over the 12-month follow-up, functionality and fatigue/dyspnea improved progressively, while pain remained stable. We observed slight fluctuations in anxiety symptoms and perception of cognitive deficit, whereas posttraumatic stress disorder (PTSD) and depressive symptoms improved, with a mild rebound at the end of the follow-up. Female sex, younger age, and the need for IMV were risk factors for PICS, while having higher cognitive reserve was a potential protective factor. Physical HRQoL scores showed a general improvement over time, whereas mental HRQoL remained stable. Shorter ICU stay, better functionality, and lower scores for fatigue/dyspnea and pain were associated with better physical HRQoL, while lower scores for anxiety, depression, and PTSD were associated with better mental HRQoL. CONCLUSIONS: Postintensive care syndrome was common in COVID-19 critical illness survivors and persisted in a significant proportion of patients one year after ICU discharge, impacting HRQoL. The presence of risk factors for PICS may identify patients who are more likely to develop the condition and who would benefit from more specific and closer follow-up after ICU admission. STUDY REGISTRATION: ClinicalTrials.gov ( NCT04422444 ); first submitted 9 June 2020.

RéSUMé: OBJECTIF: Les études intégrant un suivi longitudinal exhaustif à long terme des syndromes post-soins intensifs (SPSI) chez les survivant·es gravement malades de la COVID-19 sont rares. Notre objectif était 1) de décrire les séquelles liées au SPSI sur une période de 12 mois après la sortie de l'unité de soins intensifs (USI), 2) d'identifier les facteurs démographiques et cliniques pertinents liés au SPSI, et 3) d'explorer comment les séquelles liées au SPSI peuvent influencer la qualité de vie liée à la santé (QVLS) chez les survivant·es gravement malades de la COVID-19. MéTHODE: Nous avons mené une étude de cohorte prospective chez des adultes gravement malades survivant·es d'une infection par le SRAS-CoV-2 qui ont eu ou non besoin d'une ventilation mécanique invasive (VMI) pendant la pandémie de COVID-19 en Espagne (mars 2020 à janvier 2021). Nous avons effectué un suivi par télémédecine des séquelles liées au SPSI (santé physique/fonctionnelle, cognitive et mentale) et à la QVLS avec cinq points de collecte de données. Nous avons rétrospectivement colligé des données démographiques et cliniques. Des modèles multivariés à effets mixtes ont été utilisés pour l'analyse des données. RéSULTATS: Nous avons inclus 142 participant·es à l'étude dans l'analyse finale, avec un âge médian [intervalle interquartile] de 61 [53-68] ans; 35 % étaient des femmes et 59 % avaient besoin de VMI. La fatigue/dyspnée, la douleur, l'altération de la fonction musculaire, la symptomatologie psychiatrique et la réduction de la QVLS physique étaient des séquelles importantes peu après la sortie de l'USI. Au cours du suivi de 12 mois, la fonctionnalité et la fatigue/dyspnée se sont améliorées progressivement, tandis que la douleur est restée stable. Nous avons observé de légères fluctuations des symptômes d'anxiété et de perception du déficit cognitif, tandis que le trouble de stress post-traumatique (ESPT) et les symptômes dépressifs se sont améliorés, avec un léger rebond à la fin du suivi. Le sexe féminin, un jeune âge et le besoin de VMI étaient des facteurs de risque de SPSI, tandis qu'une réserve cognitive plus élevée était un facteur potentiel de protection. Les scores physiques de la QVLS ont montré une amélioration générale au fil du temps, tandis que la QVLS mentale est restée stable. Un séjour plus court aux soins intensifs, une meilleure fonctionnalité et des scores plus faibles pour la fatigue/dyspnée et la douleur étaient associés à une meilleure QVLS physique, tandis que des scores plus faibles pour l'anxiété, la dépression et le ESPT étaient associés à une meilleure QVLS mentale. CONCLUSION: Le syndrome post-soins intensifs était fréquent chez les survivant·es d'une maladie grave de la COVID-19 et a persisté chez une proportion importante de patient·es un an après leur sortie de l'unité de soins intensifs, ce qui a eu un impact sur la QVLS. La présence de facteurs de risque de SPSI peut identifier les patient·es qui sont plus susceptibles de développer la maladie et qui bénéficieraient d'un suivi plus spécifique et plus étroit après leur admission aux soins intensifs. ENREGISTREMENT DE L'éTUDE: ClinicalTrials.gov ( NCT04422444 ); première soumission le 9 juin 2020.

Objective and subjective cognition in survivors of COVID-19 one year after ICU discharge: the role of demographic, clinical, and emotional factors.

BACKGROUND: Intensive Care Unit (ICU) COVID-19 survivors may present long-term cognitive and emotional difficulties after hospital discharge. This study aims to characterize the neuropsychological dysfunction of COVID-19 survivors 12 months after ICU discharge, and to study whether the use of a measure of perceived cognitive deficit allows the detection of objective cognitive impairment. We also explore the relationship between demographic, clinical and emotional factors, and both objective and subjective cognitive deficits. METHODS: Critically ill COVID-19 survivors from two medical ICUs underwent cognitive and emotional assessment one year after discharge. The perception of cognitive deficit and emotional state was screened through self-rated questionnaires (Perceived Deficits Questionnaire, Hospital Anxiety and Depression Scale and Davidson Trauma Scale), and a comprehensive neuropsychological evaluation was carried out. Demographic and clinical data from ICU admission were collected retrospectively. RESULTS: Out of eighty participants included in the final analysis, 31.3% were women, 61.3% received mechanical ventilation and the median age of patients was 60.73 years. Objective cognitive impairment was observed in 30% of COVID-19 survivors. The worst performance was detected in executive functions, processing speed and recognition memory. Almost one in three patients manifested cognitive complaints, and 22.5%, 26.3% and 27.5% reported anxiety, depression and post-traumatic stress disorder (PTSD) symptoms, respectively. No significant differences were found in the perception of cognitive deficit between patients with and without objective cognitive impairment. Gender and PTSD symptomatology were significantly associated with perceived cognitive deficit, and cognitive reserve with objective cognitive impairment. CONCLUSIONS: One-third of COVID-19 survivors suffered objective cognitive impairment with a frontal-subcortical dysfunction 12 months after ICU discharge. Emotional disturbances and perceived cognitive deficits were common. Female gender and PTSD symptoms emerged as predictive factors for perceiving worse cognitive performance. Cognitive reserve emerged as a protective factor for objective cognitive functioning. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04422444; June 9, 2021.

Occurrence, co-occurrence and persistence of symptoms of depression and post-traumatic stress disorder in survivors of COVID-19 critical illness.

Background: Intensive care unit (ICU) admission and invasive mechanical ventilation (IMV) are associated with psychological distress and trauma. The COVID-19 pandemic brought with it a series of additional long-lasting stressful and traumatic experiences. However, little is known about comorbid depression and post-traumatic stress disorder (PTSD).Objective: To examine the occurrence, co-occurrence, and persistence of clinically significant symptoms of depression and PTSD, and their predictive factors, in COVID-19 critical illness survivors.Method: Single-centre prospective observational study in adult survivors of COVID-19 with ≥24 h of ICU admission. Patients were assessed one and 12 months after ICU discharge using the depression subscale of the Hospital Anxiety and Depression Scale and the Davidson Trauma Scale. Differences in isolated and comorbid symptoms of depression and PTSD between patients with and without IMV and predictors of the occurrence and persistence of symptoms of these mental disorders were analysed.Results: Eighty-nine patients (42 with IMV) completed the 1-month follow-up and 71 (34 with IMV) completed the 12-month follow-up. One month after discharge, 29.2% of patients had symptoms of depression and 36% had symptoms of PTSD; after one year, the respective figures were 32.4% and 31%. Coexistence of depressive and PTSD symptoms accounted for approximately half of all symptomatic cases. Isolated PTSD symptoms were more frequent in patients with IMV (p≤.014). The need for IMV was associated with the occurrence at one month (OR = 6.098, p = .005) and persistence at 12 months (OR = 3.271, p = .030) of symptoms of either of these two mental disorders.Conclusions: Comorbid depressive and PTSD symptoms were highly frequent in our cohort of COVID-19 critical illness survivors. The need for IMV predicted short-term occurrence and long-term persistence of symptoms of these mental disorders, especially PTSD symptoms. The specific role of dyspnea in the association between IMV and post-ICU mental disorders deserves further investigation.Trial registration: ClinicalTrials.gov identifier: NCT04422444.

Clinically significant depressive and post-traumatic stress disorder symptoms in survivors of COVID-19 critical illness, especially in patients who had undergone invasive mechanical ventilation, were highly frequent, occurred soon after discharge, and persisted over the long term.