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Toufen C, de Almeida GC, Pompeu JE, de Carvalho CRF, de Carvalho CRR. Neuroleptics used in critical COVID associated with moderate-severe dyspnea after hospital discharge. Sci Rep 2025; 15:6744. [PMID: 40000709 PMCID: PMC11862020 DOI: 10.1038/s41598-025-91010-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 02/17/2025] [Indexed: 02/27/2025] Open
Abstract
Dyspnea is a prominent symptom in patients with long COVID due to its high prevalence and significant clinical impact. However, the influence of commonly used medications in critically ill patients on long-term dyspnea remains unclear. This study aimed to identify risk factors and assess the impacts associated with moderate to severe dyspnea in COVID-19 survivors. This study evaluated patients admitted to a university hospital between April 2020 and April 2021. Data were collected on clinical preconditions, hospital and ICU stays, and the use of corticosteroids, neuroleptics, neuromuscular blockers, midazolam, fentanyl, and noradrenaline. Post-discharge evaluations were conducted at 1 and 12 months, assessing dyspnea, frailty, quality of life, functional capacity, anxiety, and depression. Descriptive statistics, including frequencies and percentages, were used, and logistic regression analysis was performed to identify factors associated with moderate to severe dyspnea at 1 and 12 months post-discharge. Statistical significance was defined as P < 0.05. A total of 100 patients were prospectively included in the study; all underwent the 1-month evaluation, and 63 completed the 12-month evaluation. Limiting dyspnea, defined as an mMRC score > 1, was observed in 56.6% of patients at 1 month and 33.9% at 12 months post-discharge. Independent factors associated with limiting dyspnea at 1 month included the total dose of neuroleptics administered during hospitalization and the presence of pre-existing comorbidities. The use of corticosteroids, neuromuscular blockers, midazolam, fentanyl, and noradrenaline showed no significant association with limiting dyspnea. Dyspnea at 1 month post-discharge was an independent risk factor for the persistence of limiting dyspnea at 12 months. Patients with limiting dyspnea at 12 months exhibited higher levels of depression, anxiety, and frailty, alongside reduced quality of life and functionality. Patients with severe COVID-19 exhibit a high prevalence of limiting dyspnea in the long term. The total dose of neuroleptics administered during hospitalization and the presence of comorbidities were independently associated with limiting dyspnea after discharge. At 12 months post-discharge, individuals with persistent limiting dyspnea frequently demonstrated additional physical and mental health impairments, underscoring the need for comprehensive evaluation and management to mitigate the burden of long-term disabilities.
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Affiliation(s)
- Carlos Toufen
- Divisao de Pneumologia, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil.
| | - Gustavo Corrêa de Almeida
- Divisao de Pneumologia, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - José Eduardo Pompeu
- Departamento de Fisioterapia, Fonoaudiologia e Terapia Ocupacional, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | | | - Carlos Roberto Ribeiro de Carvalho
- Divisao de Pneumologia, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
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Dias LM, da Cruz JA, Lopes AJ. Long-term assessment of functional capacity, muscle function, lung function, and quality of life in survivors of ventilator-associated pneumonia. Heliyon 2024; 10:e23431. [PMID: 38169824 PMCID: PMC10758824 DOI: 10.1016/j.heliyon.2023.e23431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 11/27/2023] [Accepted: 12/04/2023] [Indexed: 01/05/2024] Open
Abstract
Background and objective The many patients who develop ventilator-associated pneumonia (VAP) have generated numerous VAP survivors who are not followed up in the long term. This study aimed, primarily, to evaluate the long-term functional capacity, as measured using the Glittre-ADL test (TGlittre), of VAP survivors and, secondarily, to calculate the correlations of TGlittre with muscle and lung function. Methods This cross-sectional study evaluated 30 VAP survivors 10 months after discharge from the intensive care unit. The participants underwent the following assessments: TGlittre; respiratory muscle strength; handgrip strength (HGS); spirometry; Functional Assessment of Chronic Therapy (FACIT-F); and Short Form-36 (SF-36). Results The median TGlittre time was 95 (81-130)% of predicted, and 30 % of the participants performed poorly on TGlittre. One-third of the participants had abnormal spirometry results. TGlittre time was correlated with weight (rs = -0.412, P = 0.023), body index mass (BMI, rs = -0.400, P = 0.029), forced vital capacity (FVC, rs = -0.401, P = 0.030), HGS (rs = -0.571, P = 0.0009), FACIT-F score (rs = -0.405, P = 0.026), and different SF-36 domain scores. Participants who returned to work had a shorter TGlittre time than those who did not (89 (69-104) vs. 129 (102-183)% predicted). Multiple linear regression indicated that FVC and BMI explained 39 % of TGlittre variability. Conclusion VAP survivors had suboptimal functional capacity, low lung function, and general fatigue 10 months after discharge. The longer the TGlittre time was, the worse the lung function, muscle function, general fatigue, and quality of life were and the less likely the patient was to have returned to work.
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Affiliation(s)
- Larissa Mello Dias
- Rehabilitation Sciences Post-Graduation Programme, Augusto Motta University Centre (UNISUAM), Rio de Janeiro, Brazil
- Faculty Inspirar, Curitiba, Brazil
- Worker's Hospital Complex, Curitiba, Brazil
| | | | - Agnaldo José Lopes
- Rehabilitation Sciences Post-Graduation Programme, Augusto Motta University Centre (UNISUAM), Rio de Janeiro, Brazil
- Local Development Post-Graduation Programme, Augusto Motta University Centre (UNISUAM), Rio de Janeiro, Brazil
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Tongyoo S, Viarasilpa T, Deawtrakulchai P, Subpinyo S, Suppasilp C, Permpikul C. Comparison of limited driving pressure ventilation and low tidal volume strategies in adults with acute respiratory failure on mechanical ventilation: a randomized controlled trial. Ther Adv Respir Dis 2024; 18:17534666241249152. [PMID: 38726850 PMCID: PMC11088295 DOI: 10.1177/17534666241249152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 04/04/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Ventilator-induced lung injury (VILI) presents a grave risk to acute respiratory failure patients undergoing mechanical ventilation. Low tidal volume (LTV) ventilation has been advocated as a protective strategy against VILI. However, the effectiveness of limited driving pressure (plateau pressure minus positive end-expiratory pressure) remains unclear. OBJECTIVES This study evaluated the efficacy of LTV against limited driving pressure in preventing VILI in adults with respiratory failure. DESIGN A single-centre, prospective, open-labelled, randomized controlled trial. METHODS This study was executed in medical intensive care units at Siriraj Hospital, Mahidol University, Bangkok, Thailand. We enrolled acute respiratory failure patients undergoing intubation and mechanical ventilation. They were randomized in a 1:1 allocation to limited driving pressure (LDP; ⩽15 cmH2O) or LTV (⩽8 mL/kg of predicted body weight). The primary outcome was the acute lung injury (ALI) score 7 days post-enrolment. RESULTS From July 2019 to December 2020, 126 patients participated, with 63 each in the LDP and LTV groups. The cohorts had the mean (standard deviation) ages of 60.5 (17.6) and 60.9 (17.9) years, respectively, and they exhibited comparable baseline characteristics. The primary reasons for intubation were acute hypoxic respiratory failure (LDP 49.2%, LTV 63.5%) and shock-related respiratory failure (LDP 39.7%, LTV 30.2%). No significant difference emerged in the primary outcome: the median (interquartile range) ALI scores for LDP and LTV were 1.75 (1.00-2.67) and 1.75 (1.25-2.25), respectively (p = 0.713). Twenty-eight-day mortality rates were comparable: LDP 34.9% (22/63), LTV 31.7% (20/63), relative risk (RR) 1.08, 95% confidence interval (CI) 0.74-1.57, p = 0.705. Incidences of newly developed acute respiratory distress syndrome also aligned: LDP 14.3% (9/63), LTV 20.6% (13/63), RR 0.81, 95% CI 0.55-1.22, p = 0.348. CONCLUSIONS In adults with acute respiratory failure, the efficacy of LDP and LTV in averting lung injury 7 days post-mechanical ventilation was indistinguishable. CLINICAL TRIAL REGISTRATION The study was registered with the ClinicalTrials.gov database (identification number NCT04035915).
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Affiliation(s)
- Surat Tongyoo
- Faculty of Medicine, Siriraj Hospital, Mahidol University, 2, Prannok Road, Bangkok Noi, Bangkok 10700, Thailand
| | - Tanuwong Viarasilpa
- Division of Critical Care Medicine, Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Phitphiboon Deawtrakulchai
- Division of Critical Care Medicine, Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Subdivision of Critical Care, Division of Internal Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Santi Subpinyo
- Division of Critical Care Medicine, Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Chaiyawat Suppasilp
- Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Chairat Permpikul
- Division of Critical Care Medicine, Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
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Nair S, Nova-Lamperti E, Labarca G, Kulasinghe A, Short KR, Carrión F, Salomon C. Genomic communication via circulating extracellular vesicles and long-term health consequences of COVID-19. J Transl Med 2023; 21:709. [PMID: 37817137 PMCID: PMC10563316 DOI: 10.1186/s12967-023-04552-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 09/22/2023] [Indexed: 10/12/2023] Open
Abstract
COVID-19 continues to affect an unprecedented number of people with the emergence of new variants posing a serious challenge to global health. There is an expansion of knowledge in understanding the pathogenesis of Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and the impact of the acute disease on multiple organs. In addition, growing evidence reports that the impact of COVID-19 on different organs persists long after the recovery phase of the disease, leading to long-term consequences of COVID-19. These long-term consequences involve pulmonary as well as extra-pulmonary sequelae of the disease. Noteably, recent research has shown a potential association between COVID-19 and change in the molecular cargo of extracellular vesicles (EVs). EVs are vesicles released by cells and play an important role in cell communication by transfer of bioactive molecules between cells. Emerging evidence shows a strong link between EVs and their molecular cargo, and regulation of metabolism in health and disease. This review focuses on current knowledge about EVs and their potential role in COVID-19 pathogenesis, their current and future implications as tools for biomarker and therapeutic development and their possible effects on long-term impact of COVID-19.
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Affiliation(s)
- Soumyalekshmi Nair
- Translational Extracellular Vesicles in Obstetrics and Gynae-Oncology Group, UQ Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine, The University of Queensland, Brisbane, Qld, 4072, Australia
| | - Estefania Nova-Lamperti
- Molecular and Translational Immunology Laboratory, Clinical Biochemistry and Immunology Department, Pharmacy Faculty, Universidad de Concepción, Concepción, Chile
| | - Gonzalo Labarca
- Molecular and Translational Immunology Laboratory, Clinical Biochemistry and Immunology Department, Pharmacy Faculty, Universidad de Concepción, Concepción, Chile
| | - Arutha Kulasinghe
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, Qld, 4102, Australia
| | - Kirsty R Short
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia
| | - Flavio Carrión
- Departamento de Investigación, Postgrado y Educación Continua (DIPEC), Facultad de Ciencias de la Salud, Universidad del Alba, Santiago, Chile.
| | - Carlos Salomon
- Translational Extracellular Vesicles in Obstetrics and Gynae-Oncology Group, UQ Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine, The University of Queensland, Brisbane, Qld, 4072, Australia.
- Departamento de Investigación, Postgrado y Educación Continua (DIPEC), Facultad de Ciencias de la Salud, Universidad del Alba, Santiago, Chile.
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Abplanalp LA, Ionescu F, Calvo-Ayala E, Yu L, Nair GB. Static Respiratory System Compliance as a Predictor of Extubation Failure in Patients with Acute Respiratory Failure. Lung 2023:10.1007/s00408-023-00625-7. [PMID: 37300706 DOI: 10.1007/s00408-023-00625-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 05/25/2023] [Indexed: 06/12/2023]
Abstract
PURPOSE Ventilator weaning protocols rely in part on objective indices to best predict extubation failure in the critically ill. We investigated static respiratory system compliance (RC) as a predictor of extubation failure, in comparison to extubation readiness using rapid shallow breathing index (RSBI). MATERIAL AND METHODS This was a cross-sectional, multi-institutional study of mechanically ventilated patients admitted between 12/01/2017 and 12/01/2019. All patients older than 18 years with a documented spontaneous breathing trial and extubation trial were included. RC and RSBI were calculated prior to the extubation trial. The primary outcome was extubation failure-defined as need for reintubation within 72 h from time of extubation. RESULTS Of the 2263 patients, 55.8% were males with a mean age of 68 years. The population consisted mostly of Caucasians (73%) and African Americans (20.4%). 274 (12.1%) patients required reintubation within 72 h. On multivariate logistic regression after adjusting for age, sex, body mass index (BMI), admission Sequential Organ Failure Assessment (SOFA) score, number of ventilator days, and the P/F ratio on the day of extubation, RC remained the strongest predictor for extubation failure at 24 h (aOR 1.45; 95% CI 1.00-2.10) and 72 h (aOR 1.58; 95% CI 1.15-2.17). There was no significant association between RSBI and extubation failure at 24 (aOR 1.00; 95% CI 0.99-1.01) or at 72 h (aOR 1.00; 95% CI 0.99-1.01). CONCLUSION RC measured on the day of extubation is a promising physiological discriminant to potentially risk stratify patients with acute respiratory failure for extubation readiness. We recommend further validation studies in prospective cohorts.
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Affiliation(s)
- Lauren A Abplanalp
- Division of Pulmonary and Critical Care, Beaumont Health, Royal Oak, MI, USA
- OUWB School of Medicine, Rochester, MI, USA
| | - Filip Ionescu
- OUWB School of Medicine, Rochester, MI, USA
- Moffitt Cancer Center, University of South Florida Morsani Medical School, Tampa, FL, USA
| | - Enrique Calvo-Ayala
- Division of Pulmonary and Critical Care, Beaumont Health, Royal Oak, MI, USA
- OUWB School of Medicine, Rochester, MI, USA
| | - Limin Yu
- Department of Pathology, Beaumont Health, Royal Oak, MI, USA
| | - Girish B Nair
- Division of Pulmonary and Critical Care, Beaumont Health, Royal Oak, MI, USA.
- OUWB School of Medicine, Rochester, MI, USA.
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Driving Pressure, Elastance, and Outcomes in a Real-World Setting: A Bi-Center Analysis of Electronic Health Record Data. Crit Care Explor 2023; 5:e0877. [PMID: 36861047 PMCID: PMC9970281 DOI: 10.1097/cce.0000000000000877] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023] Open
Abstract
Emerging evidence suggests the potential importance of inspiratory driving pressure (DP) and respiratory system elastance (ERS) on outcomes among patients with the acute respiratory distress syndrome. Their association with outcomes among heterogeneous populations outside of a controlled clinical trial is underexplored. We used electronic health record (EHR) data to characterize the associations of DP and ERS with clinical outcomes in a real-world heterogenous population. DESIGN Observational cohort study. SETTING Fourteen ICUs in two quaternary academic medical centers. PATIENTS Adult patients who received mechanical ventilation for more than 48 hours and less than 30 days. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS EHR data from 4,233 ventilated patients from 2016 to 2018 were extracted, harmonized, and merged. A minority of the analytic cohort (37%) experienced a Pao2/Fio2 of less than 300. A time-weighted mean exposure was calculated for ventilatory variables including tidal volume (VT), plateau pressures (PPLAT), DP, and ERS. Lung-protective ventilation adherence was high (94% with VT < 8.5 mL/kg, time-weighted mean VT = 6. 8 mL/kg, 88% with PPLAT ≤ 30 cm H2O). Although time-weighted mean DP (12.2 cm H2O) and ERS (1.9 cm H2O/[mL/kg]) were modest, 29% and 39% of the cohort experienced a DP greater than 15 cm H2O or an ERS greater than 2 cm H2O/(mL/kg), respectively. Regression modeling with adjustment for relevant covariates determined that exposure to time-weighted mean DP (> 15 cm H2O) was associated with increased adjusted risk of mortality and reduced adjusted ventilator-free days independent of adherence to lung-protective ventilation. Similarly, exposure to time-weighted mean ERS greater than 2 cm H2O/(mL/kg) was associated with increased adjusted risk of mortality. CONCLUSIONS Elevated DP and ERS are associated with increased risk of mortality among ventilated patients independent of severity of illness or oxygenation impairment. EHR data can enable assessment of time-weighted ventilator variables and their association with clinical outcomes in a multicenter real-world setting.
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Chen H, Sun Q, Chao Y, Liu Y, Yu Q, Xie J, Pan C, Liu L, Yang Y, Qiu H. Lung morphology impacts the association between ventilatory variables and mortality in patients with acute respiratory distress syndrome. Crit Care 2023; 27:59. [PMID: 36782256 PMCID: PMC9926837 DOI: 10.1186/s13054-023-04350-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 02/07/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Acute respiratory distress syndrome (ARDS) patients with different lung morphology have distinct pulmonary mechanical dysfunction and outcomes. Whether lung morphology impacts the association between ventilatory variables and mortality remains unclear. Moreover, the impact of a novel combined ventilator variable [(4×DP) + RR] on morality in ARDS patients needs external validation. METHODS We obtained data from the Chinese Database in Intensive Care (CDIC), which included adult ARDS patients who received invasive mechanical ventilation for at least 24 h. Patients were further classified into two groups based on lung morphology (focal and non-focal). Ventilatory variables were collected longitudinally within the first four days of ventilation. The primary outcome was 28-day mortality. Extended Cox regression models were employed to explore the interaction between lung morphology and longitudinal ventilatory variables on mortality. FINDINGS We included 396 ARDS patients with different lung morphology (64.1% non-focal). The overall 28-day mortality was 34.4%. Patients with non-focal lung morphology have more severe and persistent pulmonary mechanical dysfunction and higher mortality than those with focal lung morphology. Time-varying driving pressure (DP) was more significantly associated with 28-day mortality in patients with non-focal lung morphology compared to focal lung morphology patients (P for interaction = 0.0039). The impact of DP on mortality was more significant than that of respiratory rate (RR) only in patients with non-focal lung morphology. The hazard ratio (HR) of mortality for [(4×DP) + RR] was significant in patients with non-focal lung morphology (HR 1.036, 95% CI 1.027-1.045), not in patients with focal lung morphology (HR 1.019, 95% CI 0.999-1.039). INTERPRETATION The association between ventilator variables and mortality varied among patients with different lung morphology. [(4×DP) + RR] was only associated with mortality in patients with non-focal lung morphology. Further validation is needed.
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Affiliation(s)
- Hui Chen
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China ,grid.429222.d0000 0004 1798 0228Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Soochow University, No. 899 Pinghai Road, Suzhou, 215000 People’s Republic of China
| | - Qin Sun
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Yali Chao
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China ,grid.413389.40000 0004 1758 1622Department of Intensive Care Unit, Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, 221003 People’s Republic of China
| | - Yue Liu
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Qian Yu
- grid.263826.b0000 0004 1761 0489Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Jianfeng Xie
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Chun Pan
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Ling Liu
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
| | - Yi Yang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
| | - Haibo Qiu
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
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Ribeiro Carvalho CR, Lamas CA, Chate RC, Salge JM, Sawamura MVY, de Albuquerque ALP, Toufen Junior C, Lima DM, Garcia ML, Scudeller PG, Nomura CH, Gutierrez MA, Baldi BG, HCFMUSP Covid-19 Study Group. Long-term respiratory follow-up of ICU hospitalized COVID-19 patients: Prospective cohort study. PLoS One 2023; 18:e0280567. [PMID: 36662879 PMCID: PMC9858876 DOI: 10.1371/journal.pone.0280567] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 01/02/2023] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Coronavirus disease (COVID-19) survivors exhibit multisystemic alterations after hospitalization. Little is known about long-term imaging and pulmonary function of hospitalized patients intensive care unit (ICU) who survive COVID-19. We aimed to investigate long-term consequences of COVID-19 on the respiratory system of patients discharged from hospital ICU and identify risk factors associated with chest computed tomography (CT) lesion severity. METHODS A prospective cohort study of COVID-19 patients admitted to a tertiary hospital ICU in Brazil (March-August/2020), and followed-up six-twelve months after hospital admission. Initial assessment included: modified Medical Research Council dyspnea scale, SpO2 evaluation, forced vital capacity, and chest X-Ray. Patients with alterations in at least one of these examinations were eligible for CT and pulmonary function tests (PFTs) approximately 16 months after hospital admission. Primary outcome: CT lesion severity (fibrotic-like or non-fibrotic-like). Baseline clinical variables were used to build a machine learning model (ML) to predict the severity of CT lesion. RESULTS In total, 326 patients (72%) were eligible for CT and PFTs. COVID-19 CT lesions were identified in 81.8% of patients, and half of them showed mild restrictive lung impairment and impaired lung diffusion capacity. Patients with COVID-19 CT findings were stratified into two categories of lesion severity: non-fibrotic-like (50.8%-ground-glass opacities/reticulations) and fibrotic-like (49.2%-traction bronchiectasis/architectural distortion). No association between CT feature severity and altered lung diffusion or functional restrictive/obstructive patterns was found. The ML detected that male sex, ICU and invasive mechanic ventilation (IMV) period, tracheostomy and vasoactive drug need during hospitalization were predictors of CT lesion severity(sensitivity,0.78±0.02;specificity,0.79±0.01;F1-score,0.78±0.02;positive predictive rate,0.78±0.02; accuracy,0.78±0.02; and area under the curve,0.83±0.01). CONCLUSION ICU hospitalization due to COVID-19 led to respiratory system alterations six-twelve months after hospital admission. Male sex and critical disease acute phase, characterized by a longer ICU and IMV period, and need for tracheostomy and vasoactive drugs, were risk factors for severe CT lesions six-twelve months after hospital admission.
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Affiliation(s)
- Carlos Roberto Ribeiro Carvalho
- Pulmonary Division, Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - Celina Almeida Lamas
- Pulmonary Division, Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - Rodrigo Caruso Chate
- Radiology Institute (InRad), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - João Marcos Salge
- Pulmonary Division, Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - Marcio Valente Yamada Sawamura
- Radiology Institute (InRad), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - André L. P. de Albuquerque
- Pulmonary Division, Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - Carlos Toufen Junior
- Pulmonary Division, Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - Daniel Mario Lima
- Informatics Division, Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - Michelle Louvaes Garcia
- Pulmonary Division, Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - Paula Gobi Scudeller
- Pulmonary Division, Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - Cesar Higa Nomura
- Radiology Institute (InRad), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - Marco Antonio Gutierrez
- Informatics Division, Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
| | - Bruno Guedes Baldi
- Pulmonary Division, Heart Institute (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), Sao Paulo, SP, Brazil
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9
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Robba C, Badenes R, Battaglini D, Ball L, Brunetti I, Jakobsen JC, Lilja G, Friberg H, Wendel-Garcia PD, Young PJ, Eastwood G, Chew MS, Unden J, Thomas M, Joannidis M, Nichol A, Lundin A, Hollenberg J, Hammond N, Saxena M, Annborn M, Solar M, Taccone FS, Dankiewicz J, Nielsen N, Pelosi P. Ventilatory settings in the initial 72 h and their association with outcome in out-of-hospital cardiac arrest patients: a preplanned secondary analysis of the targeted hypothermia versus targeted normothermia after out-of-hospital cardiac arrest (TTM2) trial. Intensive Care Med 2022; 48:1024-1038. [PMID: 35780195 PMCID: PMC9304050 DOI: 10.1007/s00134-022-06756-4] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 05/24/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE The optimal ventilatory settings in patients after cardiac arrest and their association with outcome remain unclear. The aim of this study was to describe the ventilatory settings applied in the first 72 h of mechanical ventilation in patients after out-of-hospital cardiac arrest and their association with 6-month outcomes. METHODS Preplanned sub-analysis of the Target Temperature Management-2 trial. Clinical outcomes were mortality and functional status (assessed by the Modified Rankin Scale) 6 months after randomization. RESULTS A total of 1848 patients were included (mean age 64 [Standard Deviation, SD = 14] years). At 6 months, 950 (51%) patients were alive and 898 (49%) were dead. Median tidal volume (VT) was 7 (Interquartile range, IQR = 6.2-8.5) mL per Predicted Body Weight (PBW), positive end expiratory pressure (PEEP) was 7 (IQR = 5-9) cmH20, plateau pressure was 20 cmH20 (IQR = 17-23), driving pressure was 12 cmH20 (IQR = 10-15), mechanical power 16.2 J/min (IQR = 12.1-21.8), ventilatory ratio was 1.27 (IQR = 1.04-1.6), and respiratory rate was 17 breaths/minute (IQR = 14-20). Median partial pressure of oxygen was 87 mmHg (IQR = 75-105), and partial pressure of carbon dioxide was 40.5 mmHg (IQR = 36-45.7). Respiratory rate, driving pressure, and mechanical power were independently associated with 6-month mortality (omnibus p-values for their non-linear trajectories: p < 0.0001, p = 0.026, and p = 0.029, respectively). Respiratory rate and driving pressure were also independently associated with poor neurological outcome (odds ratio, OR = 1.035, 95% confidence interval, CI = 1.003-1.068, p = 0.030, and OR = 1.005, 95% CI = 1.001-1.036, p = 0.048). A composite formula calculated as [(4*driving pressure) + respiratory rate] was independently associated with mortality and poor neurological outcome. CONCLUSIONS Protective ventilation strategies are commonly applied in patients after cardiac arrest. Ventilator settings in the first 72 h after hospital admission, in particular driving pressure and respiratory rate, may influence 6-month outcomes.
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Affiliation(s)
- Chiara Robba
- Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy. .,Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Viale Benedetto XV 16, Genoa, Italy.
| | - Rafael Badenes
- Department of Anesthesiology and Surgical-Trauma Intensive Care, Hospital Clínic Universitari de Valencia, Valencia, Spain.,Department of Surgery, University of Valencia, Valencia, Spain
| | - Denise Battaglini
- Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy.,Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Lorenzo Ball
- Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Viale Benedetto XV 16, Genoa, Italy
| | - Iole Brunetti
- Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy
| | - Janus C Jakobsen
- Copenhagen Trial Unit, Centre for Clinical Intervention Research, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.,Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Gisela Lilja
- Department of Clinical Sciences Lund, Neurology, Skåne University Hospital, Lund University, Getingevägen 4, 222 41, Lund, Sweden
| | - Hans Friberg
- Department of Clinical Sciences Lund, Anesthesia and Intensive Care, Lund University, Lund, Sweden
| | - Pedro D Wendel-Garcia
- Institute of Intensive Care Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Paul J Young
- Medical Research Institute of New Zealand, Private Bag 7902, Wellington, 6242, New Zealand.,Intensive Care Unit, Wellington Regional Hospital, Wellington, New Zealand.,Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.,Department of Critical Care, University of Melbourne, Parkville, VIC, Australia
| | - Glenn Eastwood
- Department of Intensive Care, Austin Hospital, Melbourne, Australia
| | - Michelle S Chew
- Department of Anaesthesia and Intensive Care, Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Johan Unden
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.,Department of Operation and Intensive Care, Lund University, Hallands Hospital Halmstad, Halland, Sweden
| | - Matthew Thomas
- University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Michael Joannidis
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Innsbruck, Austria
| | | | - Andreas Lundin
- Department of Anaesthesiology and Intensive Care Medicine, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, 423 45, Gothenburg, Sweden
| | - Jacob Hollenberg
- Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Södersjukhuset Sjukhusbacken 10, Solna, 118 83, Stockholm, Sweden
| | - Naomi Hammond
- Malcolm Fisher Department of Intensive Care, Royal North Shore Hospital, Critical Care Division, The George Institute for Global Health, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Manoj Saxena
- Intensive Care Unit, St George Hospital, Sydney, Australia
| | - Martin Annborn
- Department of Clinical Medicine, Anaesthesiology and Intensive Care, Lund University, Lund, Sweden
| | - Miroslav Solar
- Department of Internal Medicine, Faculty of Medicine in Hradec Králové, Charles University, Hradec Králové, Czech Republic.,Department of Internal Medicine-Cardioangiology, University Hospital Hradec Králové, Hradec Králové, Czech Republic
| | - Fabio S Taccone
- Department of Intensive Care Medicine, Université Libre de Bruxelles, Hopital Erasme, Brussels, Belgium
| | - Josef Dankiewicz
- Department of Clinical Sciences Lund, Cardiology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Niklas Nielsen
- Department of Clinical Sciences Lund, Anaesthesia and Intensive Care and Clinical Sciences Helsingborg, Helsingborg Hospital, Lund University, Lund, Sweden
| | - Paolo Pelosi
- Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Viale Benedetto XV 16, Genoa, Italy
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10
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Tasaka S, Ohshimo S, Takeuchi M, Yasuda H, Ichikado K, Tsushima K, Egi M, Hashimoto S, Shime N, Saito O, Matsumoto S, Nango E, Okada Y, Hayashi K, Sakuraya M, Nakajima M, Okamori S, Miura S, Fukuda T, Ishihara T, Kamo T, Yatabe T, Norisue Y, Aoki Y, Iizuka Y, Kondo Y, Narita C, Kawakami D, Okano H, Takeshita J, Anan K, Okazaki SR, Taito S, Hayashi T, Mayumi T, Terayama T, Kubota Y, Abe Y, Iwasaki Y, Kishihara Y, Kataoka J, Nishimura T, Yonekura H, Ando K, Yoshida T, Masuyama T, Sanui M. ARDS Clinical Practice Guideline 2021. J Intensive Care 2022; 10:32. [PMID: 35799288 PMCID: PMC9263056 DOI: 10.1186/s40560-022-00615-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 05/10/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The joint committee of the Japanese Society of Intensive Care Medicine/Japanese Respiratory Society/Japanese Society of Respiratory Care Medicine on ARDS Clinical Practice Guideline has created and released the ARDS Clinical Practice Guideline 2021. METHODS The 2016 edition of the Clinical Practice Guideline covered clinical questions (CQs) that targeted only adults, but the present guideline includes 15 CQs for children in addition to 46 CQs for adults. As with the previous edition, we used a systematic review method with the Grading of Recommendations Assessment Development and Evaluation (GRADE) system as well as a degree of recommendation determination method. We also conducted systematic reviews that used meta-analyses of diagnostic accuracy and network meta-analyses as a new method. RESULTS Recommendations for adult patients with ARDS are described: we suggest against using serum C-reactive protein and procalcitonin levels to identify bacterial pneumonia as the underlying disease (GRADE 2D); we recommend limiting tidal volume to 4-8 mL/kg for mechanical ventilation (GRADE 1D); we recommend against managements targeting an excessively low SpO2 (PaO2) (GRADE 2D); we suggest against using transpulmonary pressure as a routine basis in positive end-expiratory pressure settings (GRADE 2B); we suggest implementing extracorporeal membrane oxygenation for those with severe ARDS (GRADE 2B); we suggest against using high-dose steroids (GRADE 2C); and we recommend using low-dose steroids (GRADE 1B). The recommendations for pediatric patients with ARDS are as follows: we suggest against using non-invasive respiratory support (non-invasive positive pressure ventilation/high-flow nasal cannula oxygen therapy) (GRADE 2D), we suggest placing pediatric patients with moderate ARDS in the prone position (GRADE 2D), we suggest against routinely implementing NO inhalation therapy (GRADE 2C), and we suggest against implementing daily sedation interruption for pediatric patients with respiratory failure (GRADE 2D). CONCLUSIONS This article is a translated summary of the full version of the ARDS Clinical Practice Guideline 2021 published in Japanese (URL: https://www.jsicm.org/publication/guideline.html ). The original text, which was written for Japanese healthcare professionals, may include different perspectives from healthcare professionals of other countries.
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Affiliation(s)
- Sadatomo Tasaka
- Department of Respiratory Medicine, Hirosaki University Graduate School of Medicine, 5 Zaifucho, Hirosaki, Aomori, 036-8562, Japan.
| | - Shinichiro Ohshimo
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Muneyuki Takeuchi
- Department of Intensive Care Medicine, Osaka Women's and Children's Hospital, Osaka, Japan
| | - Hideto Yasuda
- Department of Emergency and Critical Care Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan
| | - Kazuya Ichikado
- Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | - Kenji Tsushima
- International University of Health and Welfare, Tokyo, Japan
| | - Moritoki Egi
- Department of Anesthesiology, Kobe University Hospital, Hyogo, Japan
| | - Satoru Hashimoto
- Department of Anesthesiology and Intensive Care Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Osamu Saito
- Department of Pediatric Emergency and Critical Care Medicine, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan
| | - Shotaro Matsumoto
- Division of Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Eishu Nango
- Department of Family Medicine, Seibo International Catholic Hospital, Tokyo, Japan
| | - Yohei Okada
- Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kenichiro Hayashi
- Department of Pediatrics, The University of Tokyo Hospital, Tokyo, Japan
| | - Masaaki Sakuraya
- Department of Emergency and Intensive Care Medicine, JA Hiroshima General Hospital, Hiroshima, Japan
| | - Mikio Nakajima
- Emergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Tokyo, Japan
| | - Satoshi Okamori
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shinya Miura
- Paediatric Intensive Care Unit, The Royal Children's Hospital, Melbourne, Australia
| | - Tatsuma Fukuda
- Department of Emergency and Critical Care Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Tadashi Ishihara
- Department of Emergency and Critical Care Medicine, Urayasu Hospital, Juntendo University, Chiba, Japan
| | - Tetsuro Kamo
- Department of Critical Care Medicine, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan
| | - Tomoaki Yatabe
- Department of Anesthesiology, Nishichita General Hospital, Tokai, Japan
| | | | - Yoshitaka Aoki
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Yusuke Iizuka
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Yutaka Kondo
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Chihiro Narita
- Department of Emergency Medicine, Shizuoka General Hospital, Shizuoka, Japan
| | - Daisuke Kawakami
- Department of Anesthesia and Critical Care, Kobe City Medical Center General Hospital, Hyogo, Japan
| | - Hiromu Okano
- Department of Critical Care and Emergency Medicine, National Hospital Organization Yokohama Medical Center, Kanagawa, Japan
| | - Jun Takeshita
- Department of Anesthesiology, Osaka Women's and Children's Hospital, Osaka, Japan
| | - Keisuke Anan
- Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, Kyoto, Japan
| | | | - Shunsuke Taito
- Division of Rehabilitation, Department of Clinical Practice and Support, Hiroshima University Hospital, Hiroshima, Japan
| | - Takuya Hayashi
- Pediatric Emergency and Critical Care Center, Saitama Children's Medical Center, Saitama, Japan
| | - Takuya Mayumi
- Department of Cardiovascular Medicine, Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan
| | - Takero Terayama
- Department of Psychiatry, School of Medicine, National Defense Medical College, Saitama, Japan
| | - Yoshifumi Kubota
- Kameda Medical Center Department of Infectious Diseases, Chiba, Japan
| | - Yoshinobu Abe
- Division of Emergency and Disaster Medicine Tohoku Medical and Pharmaceutical University, Miyagi, Japan
| | - Yudai Iwasaki
- Department of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Yuki Kishihara
- Department of Emergency Medicine, Japanese Red Cross Musashino Hospital, Tokyo, Japan
| | - Jun Kataoka
- Department of Critical Care Medicine, Nerima Hikarigaoka Hospital, Tokyo, Japan
| | - Tetsuro Nishimura
- Department of Traumatology and Critical Care Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Hiroshi Yonekura
- Department of Anesthesiology and Pain Medicine, Fujita Health University Bantane Hospital, Aichi, Japan
| | - Koichi Ando
- Division of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Takuo Yoshida
- Intensive Care Unit, Department of Anesthesiology, Jikei University School of Medicine, Tokyo, Japan
| | - Tomoyuki Masuyama
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Masamitsu Sanui
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
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11
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Tasaka S, Ohshimo S, Takeuchi M, Yasuda H, Ichikado K, Tsushima K, Egi M, Hashimoto S, Shime N, Saito O, Matsumoto S, Nango E, Okada Y, Hayashi K, Sakuraya M, Nakajima M, Okamori S, Miura S, Fukuda T, Ishihara T, Kamo T, Yatabe T, Norisue Y, Aoki Y, Iizuka Y, Kondo Y, Narita C, Kawakami D, Okano H, Takeshita J, Anan K, Okazaki SR, Taito S, Hayashi T, Mayumi T, Terayama T, Kubota Y, Abe Y, Iwasaki Y, Kishihara Y, Kataoka J, Nishimura T, Yonekura H, Ando K, Yoshida T, Masuyama T, Sanui M. ARDS clinical practice guideline 2021. Respir Investig 2022; 60:446-495. [PMID: 35753956 DOI: 10.1016/j.resinv.2022.05.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/07/2022] [Accepted: 05/13/2022] [Indexed: 12/16/2022]
Abstract
BACKGROUND The joint committee of the Japanese Society of Intensive Care Medicine/Japanese Respiratory Society/Japanese Society of Respiratory Care Medicine on ARDS Clinical Practice Guideline has created and released the ARDS Clinical Practice Guideline 2021. METHODS The 2016 edition of the Clinical Practice Guideline covered clinical questions (CQs) that targeted only adults, but the present guideline includes 15 CQs for children in addition to 46 CQs for adults. As with the previous edition, we used a systematic review method with the Grading of Recommendations Assessment Development and Evaluation (GRADE) system as well as a degree of recommendation determination method. We also conducted systematic reviews that used meta-analyses of diagnostic accuracy and network meta-analyses as a new method. RESULTS Recommendations for adult patients with ARDS are described: we suggest against using serum C-reactive protein and procalcitonin levels to identify bacterial pneumonia as the underlying disease (GRADE 2D); we recommend limiting tidal volume to 4-8 mL/kg for mechanical ventilation (GRADE 1D); we recommend against managements targeting an excessively low SpO2 (PaO2) (GRADE 2D); we suggest against using transpulmonary pressure as a routine basis in positive end-expiratory pressure settings (GRADE 2B); we suggest implementing extracorporeal membrane oxygenation for those with severe ARDS (GRADE 2B); we suggest against using high-dose steroids (GRADE 2C); and we recommend using low-dose steroids (GRADE 1B). The recommendations for pediatric patients with ARDS are as follows: we suggest against using non-invasive respiratory support (non-invasive positive pressure ventilation/high-flow nasal cannula oxygen therapy) (GRADE 2D); we suggest placing pediatric patients with moderate ARDS in the prone position (GRADE 2D); we suggest against routinely implementing NO inhalation therapy (GRADE 2C); and we suggest against implementing daily sedation interruption for pediatric patients with respiratory failure (GRADE 2D). CONCLUSIONS This article is a translated summary of the full version of the ARDS Clinical Practice Guideline 2021 published in Japanese (URL: https://www.jrs.or.jp/publication/jrs_guidelines/). The original text, which was written for Japanese healthcare professionals, may include different perspectives from healthcare professionals of other countries.
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Affiliation(s)
- Sadatomo Tasaka
- Department of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Aomori, Japan.
| | - Shinichiro Ohshimo
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Muneyuki Takeuchi
- Department of Intensive Care Medicine, Osaka Women's and Children's Hospital, Osaka, Japan
| | - Hideto Yasuda
- Department of Emergency and Critical Care Medicine, Jichi Medical University, Saitama Medical Center, Saitama, Japan
| | - Kazuya Ichikado
- Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | - Kenji Tsushima
- International University of Health and Welfare, Tokyo, Japan
| | - Moritoki Egi
- Department of Anesthesiology, Kobe University Hospital, Hyogo, Japan
| | - Satoru Hashimoto
- Department of Anesthesiology and Intensive Care Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical & Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Osamu Saito
- Department of Pediatric Emergency and Critical Care Medicine, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan
| | - Shotaro Matsumoto
- Division of Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Eishu Nango
- Department of Family Medicine, Seibo International Catholic Hospital, Tokyo, Japan
| | - Yohei Okada
- Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kenichiro Hayashi
- Department of Pediatrics, The University of Tokyo Hospital, Tokyo, Japan
| | - Masaaki Sakuraya
- Department of Emergency and Intensive Care Medicine, JA Hiroshima General Hospital, Hiroshima, Japan
| | - Mikio Nakajima
- Emergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Tokyo, Japan
| | - Satoshi Okamori
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shinya Miura
- Paediatric Intensive Care Unit, The Royal Children's Hospital Melbourne, Melbourne, Australia
| | - Tatsuma Fukuda
- Department of Emergency and Critical Care Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Tadashi Ishihara
- Department of Emergency and Critical Care Medicine, Juntendo University, Urayasu Hospital, Chiba, Japan
| | - Tetsuro Kamo
- Department of Critical Care Medicine, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan
| | - Tomoaki Yatabe
- Department of Anesthesiology, Nishichita General Hospital, Aichi, Japan
| | | | - Yoshitaka Aoki
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Yusuke Iizuka
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Yutaka Kondo
- Department of Emergency and Critical Care Medicine, Juntendo University, Urayasu Hospital, Chiba, Japan
| | - Chihiro Narita
- Department of Emergency Medicine, Shizuoka General Hospital, Shizuoka, Japan
| | - Daisuke Kawakami
- Department of Anesthesia and Critical Care, Kobe City Medical Center General Hospital, Hyogo, Japan
| | - Hiromu Okano
- Department of Critical Care and Emergency Medicine, National Hospital Organization Yokohama Medical Center, Kanagawa, Japan
| | - Jun Takeshita
- Department of Anesthesiology, Osaka Women's and Children's Hospital, Osaka, Japan
| | - Keisuke Anan
- Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | | | - Shunsuke Taito
- Division of Rehabilitation, Department of Clinical Practice and Support, Hiroshima University Hospital, Hiroshima, Japan
| | - Takuya Hayashi
- Pediatric Emergency and Critical Care Center, Saitama Children's Medical Center, Saitama, Japan
| | - Takuya Mayumi
- Department of Cardiovascular Medicine, Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan
| | - Takero Terayama
- Department of Psychiatry, School of Medicine, National Defense Medical College, Saitama, Japan
| | - Yoshifumi Kubota
- Department of Infectious Diseases, Kameda Medical Center, Chiba, Japan
| | - Yoshinobu Abe
- Division of Emergency and Disaster Medicine, Tohoku Medical and Pharmaceutical University, Miyagi, Japan
| | - Yudai Iwasaki
- Department of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Yuki Kishihara
- Department of Emergency Medicine, Japanese Red Cross Musashino Hospital, Tokyo, Japan
| | - Jun Kataoka
- Department of Critical Care Medicine, Nerima Hikarigaoka Hospital, Tokyo, Japan
| | - Tetsuro Nishimura
- Department of Traumatology and Critical Care Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Hiroshi Yonekura
- Department of Anesthesiology and Pain Medicine, Fujita Health University Bantane Hospital, Aichi, Japan
| | - Koichi Ando
- Division of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Takuo Yoshida
- Intensive Care Unit, Department of Anesthesiology, Jikei University School of Medicine, Tokyo, Japan
| | - Tomoyuki Masuyama
- Department of Emergency and Critical Care Medicine, Jichi Medical University, Saitama Medical Center, Saitama, Japan
| | - Masamitsu Sanui
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
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12
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Abstract
Contemplating the future should be grounded in history. The rise of post-polio ICUs was inextricably related to mechanical ventilation. Critically ill patients who developed acute respiratory failure often had "congestive atelectasis" (ie, a term used to describe ARDS prior to 1967). Initial mechanical ventilation strategies for treating this condition and others inadvertently led to ventilator-induced lung injury. Both injurious ventilation and later use of overly cautious weaning practices resulted from both limited technology and understanding of ARDS and other aspects of critical illness. The resulting misperceptions, misconceptions, and missed opportunities took decades to rectify and in some instances still persist. This suggests a reluctance to acknowledge that all therapeutic strategies reflect the historical period in which they were developed and the corresponding limited understanding of ARDS pathophysiology at that time. We are at the threshold of a revolutionary moment in critical care. The confluence of enormous clinical data production, massive computing power, advances in understanding the biomolecular and genetic aspects of critical illness, and the emergence of neural networks will have enormous impact on how critical care is practiced in the decades to come. Therefore, it is imperative we understand the long-crooked path needed to reach the era of protective ventilation in order to avoid similar mistakes moving forward. The emerging era is as difficult to fathom as our current practices and technologies were to those practicing 60 years ago. This review explores the history of mechanical ventilation in treating ARDS, describes current protective ventilation strategies, and speculates how ARDS management might look 20 years from now.
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Affiliation(s)
- Richard H Kallet
- Department of Anesthesia and Perioperative Care, University of California, San Francisco at San Francisco General Hospital, San Francisco, California.
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13
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Kunadu AQ, Nalamalapu SR, Hafiz M, Sahebazamani M. Recommended Reading from the East Carolina University Pulmonary, Critical Care and Sleep Medicine Fellows. Am J Respir Crit Care Med 2022; 206:105-107. [PMID: 35537123 DOI: 10.1164/rccm.202102-0376rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Afua Q Kunadu
- East Carolina University, 3627, Internal Medicine, Division of Pulmonary and Critical Care, Greenville, North Carolina, United States;
| | - Swaroopa R Nalamalapu
- East Carolina University, 3627, Pulmonary, Critical Care and Sleep Medicine, Greenville, North Carolina, United States
| | - Maida Hafiz
- East Carolina University, 3627, Pulmonary Critical Care and Sleep Medicine, Greenville, North Carolina, United States
| | - Mitra Sahebazamani
- East Carolina University, 3627, Pulmonary, Critical Care and Sleep Medicine, Greenville, North Carolina, United States
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14
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Rodrigues RR, Ambrósio AM, Engbruch AM, Gonçalves LA, Villela PA, Sanchez AF, Fantoni DT. Intraoperative Protective Mechanical Ventilation in Dogs: A Randomized Clinical Trial. Front Vet Sci 2022; 9:842613. [PMID: 35372547 PMCID: PMC8964628 DOI: 10.3389/fvets.2022.842613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 02/17/2022] [Indexed: 12/16/2022] Open
Abstract
Objective To evaluate gas exchange, respiratory mechanics, and hemodynamic impact of mechanical ventilation with low tidal volume (VT) in dogs with the use of positive end-expiratory pressure (PEEP) or preceded by alveolar recruitment maneuver (ARM). Study Design Prospective randomized clinical trial. Animals Twenty-one healthy client-owned mesocephalic healthy dogs, 1-7 years old, weighing 10-20 kg, and body condition scores 4-6/9 admitted for periodontal treatment. Methods Isoflurane-anesthetized dogs in dorsal recumbency were ventilated until 1 h with a volume-controlled ventilation mode using 8 mL kg-1 of VT. The dogs were distributed in 2 groups: in the ARM group, PEEP starts in 0 cmH2O, increasing gradually 5 cmH2O every 3 min, until reach 15 cmH2O and decreasing in the same steps until 5 cmH2O, maintaining this value until the end; and PEEP group, in which the pressure 5 cmH2O was instituted from the beginning of anesthesia and maintained the same level up to the end of the anesthesia. Cardiopulmonary, metabolic, oxygenation parameters, and respiratory mechanics were recorded after the anesthesia induction (baseline-BL), 15, 45, and 75 min after BL and during the recovery. Results The ARM increased the static compliance (Cst) (15 min after baseline) when compared with baseline moment (24.9 ± 5.8 mL cmH20-1 vs. 20.7 ± 5.4 mL cmH20-1-p = 0.0364), oxygenation index (PaO2/FIO2) (505.6 ± 59.2 mmHg vs. 461.2 ± 41.0 mmHg-p = 0.0453) and reduced the shunt fraction (3.4 ± 2.4% vs. 5.5 ± 1.6%-p = 0.062). In the PEEP group, no statistical differences were observed concerning the variables evaluated. At the beginning of the evaluation, the driving pressure (DP) before ARM was significantly greater than all other evaluation time points (6.9 ± 1.8 cmH20). Conclusions and Clinical Relevance The use of 8 mL kg-1 of VT and 5 cmH20 PEEP without ARM maintain adequate oxygenation and mechanical ventilation in dental surgeries for up to 1 h. The use of ARM slightly improved compliance and oxygenation during the maneuver.
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Robba C, Nielsen N, Dankiewicz J, Badenes R, Battaglini D, Ball L, Brunetti I, Pedro David WG, Young P, Eastwood G, Chew MS, Jakobsen J, Unden J, Thomas M, Joannidis M, Nichol A, Lundin A, Hollenberg J, Lilja G, Hammond NE, Saxena M, Martin A, Solar M, Taccone FS, Friberg HA, Pelosi P. Ventilation management and outcomes in out-of-hospital cardiac arrest: a protocol for a preplanned secondary analysis of the TTM2 trial. BMJ Open 2022; 12:e058001. [PMID: 35241476 PMCID: PMC8896064 DOI: 10.1136/bmjopen-2021-058001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Mechanical ventilation is a fundamental component in the management of patients post cardiac arrest. However, the ventilator settings and the gas-exchange targets used after cardiac arrest may not be optimal to minimise post-anoxic secondary brain injury. Therefore, questions remain regarding the best ventilator management in such patients. METHODS AND ANALYSIS This is a preplanned analysis of the international randomised controlled trial, targeted hypothermia versus targeted normothermia after out-of-hospital cardiac arrest (OHCA)-target temperature management 2 (TTM2). The primary objective is to describe ventilatory settings and gas exchange in patients who required invasive mechanical ventilation and included in the TTM2 trial. Secondary objectives include evaluating the association of ventilator settings and gas-exchange values with 6 months mortality and neurological outcome. Adult patients after an OHCA who were included in the TTM2 trial and who received invasive mechanical ventilation will be eligible for this analysis. Data collected in the TTM2 trial that will be analysed include patients' prehospital characteristics, clinical examination, ventilator settings and arterial blood gases recorded at hospital and intensive care unit (ICU) admission and daily during ICU stay. ETHICS AND DISSEMINATION The TTM2 study has been approved by the regional ethics committee at Lund University and by all relevant ethics boards in participating countries. No further ethical committee approval is required for this secondary analysis. Data will be disseminated to the scientific community by abstracts and by original articles submitted to peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT02908308.
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Affiliation(s)
- Chiara Robba
- Department of Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy
- Dipartimento di Scienze Chirurgiche e Diagnostiche, University of Genoa, Genoa, Italy
| | - Niklas Nielsen
- Department of Clinical Sciences Lund, Anaesthesia and Intensive Care and Clinical Sciences Helsingborg, Helsingborg Hospital, Lund University, Lund, Sweden
| | - Josef Dankiewicz
- Department of Clinical Sciences Lund, Cardiology, Skåne University Hospital,Lund University, Lund, Lund, UK
| | - Rafael Badenes
- Department of Anesthesiology and Surgical-Trauma Intensive Care, Hospital Clinic Universitari de València, Universitat de València, Valencia, Spain
| | - Denise Battaglini
- Department of Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy
- Dipartimento di Scienze Chirurgiche e Diagnostiche, University of Genoa, Genoa, Italy
- Department of Medicine, University of Barcelona, Barcelona, Spain, Genoa, Italy
| | - Lorenzo Ball
- Department of Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy
- Dipartimento di Scienze Chirurgiche e Diagnostiche, University of Genoa, Genoa, Italy
| | - Iole Brunetti
- Department of Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy
| | - Wendel-Garcia Pedro David
- Institute of Intensive Care Medicine, Zurich, Switzerland, University Hospital of Zürich, Zürich, Switzerland
| | - Paul Young
- Department of Intensive Care, Wellington Hospital, Wellington, New Zealand
| | - Glenn Eastwood
- Department of Intensive Care, Faculty of Health, Deakin University, Burwood, Victoria, Australia
| | - Michelle S Chew
- Department of Anaesthesia and Intensive Care, Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Janus Jakobsen
- Copenhagen Trial Unit, Centre for Clinical Intervention Research, Copenhagen University Hospital, Copenhagen, UK
| | - Johan Unden
- Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Operation and Intensive Care, Hallands Hospital Halmstad, Halland, Sweden
| | - Matthew Thomas
- Department of Anaesthesia, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Michael Joannidis
- Division of Intensive Care and Emergency Medicine, Deptartment of Medicine, Medizinische Universität Innsbruck, Innsbruck, Austria
| | - Alistair Nichol
- Monash University, Melbourne, Victoria, Australia, Melbourne, Ireland
| | - Andreas Lundin
- Department of Anaesthesiology and Intensive Care Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Jacob Hollenberg
- Department of Medicine, Center for Resuscitation Science, Karolinska Institutet, Solna, Sweden
| | - Gisela Lilja
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Naomi E Hammond
- Department of Critical Care, George Institute for Global Health, Newtown, New South Wales, Australia
| | - Manoj Saxena
- St George Hospital, Sydney, New South Wales, Australia
| | - Annborn Martin
- Department of Clinical Medicine, Anaesthesiology and Intensive Care, Lund University, Lund, Sweden
| | - Miroslav Solar
- Department of Internal Medicine, Faculty of Medicine in Hradec Králové, Charles University, Prague, Czech Republic
| | - Fabio Silvio Taccone
- Department of Intensive Care Medicine, Hopital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Hans A Friberg
- Department of of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Paolo Pelosi
- Department of Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy
- Dipartimento di Scienze Chirurgiche e Diagnostiche, Università degli Studi di Genova, Genoa, Italy
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Relationship between Driving Pressure and Mortality in Ventilated Patients with Heart Failure: A Cohort Study. Can Respir J 2021; 2021:5574963. [PMID: 34880958 PMCID: PMC8648448 DOI: 10.1155/2021/5574963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 10/09/2021] [Accepted: 11/17/2021] [Indexed: 11/17/2022] Open
Abstract
Background Heart failure (HF) is a leading cause of mortality and morbidity worldwide, with an increasing incidence. Invasive ventilation is considered to be essential for patients with HF. Previous studies have shown that driving pressure is associated with mortality in acute respiratory distress syndrome (ARDS). However, the relationship between driving pressure and mortality has not yet been examined in ventilated patients with HF. We assessed the association of driving pressure and mortality in patients with HF. Methods We conducted a retrospective cohort study of invasive ventilated adult patients with HF from the Medical Information Mart for Intensive Care-III database. We used multivariable logistic regression models, a generalized additive model, and a two-piecewise linear regression model to show the effect of the average driving pressure within 24 h of intensive care unit admission on in-hospital mortality. Results Six hundred and thirty-two invasive ventilated patients with HF were enrolled. Driving pressure was independently associated with in-hospital mortality (odds ratio [OR], 1.12; 95% confidence interval [CI], 1.06–1.18; P < 0.001) after adjusted potential confounders. A nonlinear relationship was found between driving pressure and in-hospital mortality, which had a threshold around 14.27 cmH2O. The effect sizes and CIs below and above the threshold were 0.89 (0.75 to 1.05) and 1.17 (1.07 to 1.30), respectively. Conclusions There was a nonlinear relationship between driving pressure and mortality in patients with HF who were ventilated for more than 48 h, and this relationship was associated with increased in-hospital mortality when the driving pressure was more than 14.27 cmH2O.
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Affiliation(s)
- Carlos Toufen Junior
- MD, PhD. Attending Physician, Division of Pulmonology, Instituto do Coracao, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Paulo Manuel Pêgo-Fernandes
- MD, PhD. Full Professor, Thoracic Surgery Program, Instituto do Coracao, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR; Director, Scientific Department, Associação Paulista de Medicina, São Paulo (SP), Brazil
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Habashi NM, Camporota L, Gatto LA, Nieman G. Functional pathophysiology of SARS-CoV-2-induced acute lung injury and clinical implications. J Appl Physiol (1985) 2021; 130:877-891. [PMID: 33444117 PMCID: PMC7984238 DOI: 10.1152/japplphysiol.00742.2020] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 01/05/2021] [Accepted: 01/07/2021] [Indexed: 02/08/2023] Open
Abstract
The worldwide pandemic caused by the SARS-CoV-2 virus has resulted in over 84,407,000 cases, with over 1,800,000 deaths when this paper was submitted, with comorbidities such as gender, race, age, body mass, diabetes, and hypertension greatly exacerbating mortality. This review will analyze the rapidly increasing knowledge of COVID-19-induced lung pathophysiology. Although controversial, the acute respiratory distress syndrome (ARDS) associated with COVID-19 (CARDS) seems to present as two distinct phenotypes: type L and type H. The "L" refers to low elastance, ventilation/perfusion ratio, lung weight, and recruitability, and the "H" refers to high pulmonary elastance, shunt, edema, and recruitability. However, the LUNG-SAFE (Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure) and ESICM (European Society of Intensive Care Medicine) Trials Groups have shown that ∼13% of the mechanically ventilated non-COVID-19 ARDS patients have the type-L phenotype. Other studies have shown that CARDS and ARDS respiratory mechanics overlap and that standard ventilation strategies apply to these patients. The mechanisms causing alterations in pulmonary perfusion could be caused by some combination of 1) renin-angiotensin system dysregulation, 2) thrombosis caused by loss of endothelial barrier, 3) endothelial dysfunction causing loss of hypoxic pulmonary vasoconstriction perfusion control, and 4) hyperperfusion of collapsed lung tissue that has been directly measured and supported by a computational model. A flowchart has been constructed highlighting the need for personalized and adaptive ventilation strategies, such as the time-controlled adaptive ventilation method, to set and adjust the airway pressure release ventilation mode, which recently was shown to be effective at improving oxygenation and reducing inspiratory fraction of oxygen, vasopressors, and sedation in patients with COVID-19.
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Affiliation(s)
- Nader M Habashi
- R Adams Cowley Shock Trauma Center, University of Maryland, Baltimore, Maryland
| | - Luigi Camporota
- Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, King's Health Partners, St Thomas' Hospital, London, United Kingdom
| | - Louis A Gatto
- Department of Surgery, Upstate Medical University, Syracuse, New York
| | - Gary Nieman
- Department of Surgery, Upstate Medical University, Syracuse, New York
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Abentroth LRL, Osaku EF, Silva MMMD, Jaskowiak JL, Zaponi RDS, Ogasawara SM, Leite MA, Costa CRLDM, Porto IRP, Jorge AC, Duarte PAD. Functional independence and spirometry in adult post-intensive care unit patients. Rev Bras Ter Intensiva 2021; 33:243-250. [PMID: 34231804 PMCID: PMC8275088 DOI: 10.5935/0103-507x.20210031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 07/01/2020] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE To relate functional independence to the degree of pulmonary impairment in adult patients 3 months after discharge from the intensive care unit. METHODS This was a retrospective cohort study conducted in one adult intensive care unit and a multi-professional post-intensive care unit outpatient clinic of a single center. Patients admitted to the intensive care unit from January 2012 to December 2013 who underwent (3 months later) spirometry and answered the Functional Independence Measure Questionnaire were included. RESULTS Patients were divided into groups according to the classification of functional independence and spirometry. The study included 197 patients who were divided into greater dependence (n = 4), lower dependence (n = 12) and independent (n = 181) groups. Comparing the three groups, regarding the classification of the Functional Independence Measure, patients with greater dependence had higher Acute Physiology and Chronic Health Evaluation II and Sequential Organ Failure Assessment values at intensive care unit admission with more advanced age, more days on mechanical ventilation, and longer stay in the intensive care unit and hospital. The majority of patients presented with pulmonary impairment, which was the obstructive pattern observed most frequently. When comparing functional independence with pulmonary function, it was observed that the lower the functional status, the worse the pulmonary function, with a significant difference being observed in peak expiratory flow (p = 0.030). CONCLUSION The majority of patients who returned to the outpatient clinic 3 months after discharge had good functional status but did present with pulmonary impairment, which is related to the degree of functional dependence.
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Affiliation(s)
- Lilian Regina Lengler Abentroth
- Unidade de Terapia Intensiva Geral para Adultos, Hospital Universitário do Oeste do Paraná, Universidade Estadual do Oeste do Paraná - Cascavel (PR), Brasil
| | - Erica Fernanda Osaku
- Unidade de Terapia Intensiva Geral para Adultos, Hospital Universitário do Oeste do Paraná, Universidade Estadual do Oeste do Paraná - Cascavel (PR), Brasil
| | - Mayara Manzoni Marques da Silva
- Unidade de Terapia Intensiva Geral para Adultos, Hospital Universitário do Oeste do Paraná, Universidade Estadual do Oeste do Paraná - Cascavel (PR), Brasil
| | - Jaiane Luiza Jaskowiak
- Unidade de Terapia Intensiva Geral para Adultos, Hospital Universitário do Oeste do Paraná, Universidade Estadual do Oeste do Paraná - Cascavel (PR), Brasil
| | - Renata de Souza Zaponi
- Unidade de Terapia Intensiva Geral para Adultos, Hospital Universitário do Oeste do Paraná, Universidade Estadual do Oeste do Paraná - Cascavel (PR), Brasil
| | - Suely Mariko Ogasawara
- Unidade de Terapia Intensiva Geral para Adultos, Hospital Universitário do Oeste do Paraná, Universidade Estadual do Oeste do Paraná - Cascavel (PR), Brasil
| | - Marcela Aparecida Leite
- Unidade de Terapia Intensiva Geral para Adultos, Hospital Universitário do Oeste do Paraná, Universidade Estadual do Oeste do Paraná - Cascavel (PR), Brasil
| | - Cláudia Rejane Lima de Macedo Costa
- Unidade de Terapia Intensiva Geral para Adultos, Hospital Universitário do Oeste do Paraná, Universidade Estadual do Oeste do Paraná - Cascavel (PR), Brasil
| | - Itamar Regazzo Pedreschi Porto
- Unidade de Terapia Intensiva Geral para Adultos, Hospital Universitário do Oeste do Paraná, Universidade Estadual do Oeste do Paraná - Cascavel (PR), Brasil
| | - Amaury Cezar Jorge
- Unidade de Terapia Intensiva Geral para Adultos, Hospital Universitário do Oeste do Paraná, Universidade Estadual do Oeste do Paraná - Cascavel (PR), Brasil
| | - Péricles Almeida Delfino Duarte
- Unidade de Terapia Intensiva Geral para Adultos, Hospital Universitário do Oeste do Paraná, Universidade Estadual do Oeste do Paraná - Cascavel (PR), Brasil
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Ge H, Pan Q, Zhou Y, Xu P, Zhang L, Zhang J, Yi J, Yang C, Zhou Y, Liu L, Zhang Z. Lung Mechanics of Mechanically Ventilated Patients With COVID-19: Analytics With High-Granularity Ventilator Waveform Data. Front Med (Lausanne) 2020; 7:541. [PMID: 32974375 PMCID: PMC7472529 DOI: 10.3389/fmed.2020.00541] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 07/30/2020] [Indexed: 02/05/2023] Open
Abstract
Background: Lung mechanics during invasive mechanical ventilation (IMV) for both prognostic and therapeutic implications; however, the full trajectory lung mechanics has never been described for novel coronavirus disease 2019 (COVID-19) patients requiring IMV. The study aimed to describe the full trajectory of lung mechanics of mechanically ventilated COVID-19 patients. The clinical and ventilator setting that can influence patient-ventilator asynchrony (PVA) and compliance were explored. Post-extubation spirometry test was performed to assess the pulmonary function after COVID-19 induced ARDS. Methods: This was a retrospective study conducted in a tertiary care hospital. All patients with IMV due to COVID-19 induced ARDS were included. High-granularity ventilator waveforms were analyzed with deep learning algorithm to obtain PVAs. Asynchrony index (AI) was calculated as the number of asynchronous events divided by the number of ventilator cycles and wasted efforts. Mortality was recorded as the vital status on hospital discharge. Results: A total of 3,923,450 respiratory cycles in 2,778 h were analyzed (average: 24 cycles/min) for seven patients. Higher plateau pressure (Coefficient: -0.90; 95% CI: -1.02 to -0.78) and neuromuscular blockades (Coefficient: -6.54; 95% CI: -9.92 to -3.16) were associated with lower AI. Survivors showed increasing compliance over time, whereas non-survivors showed persistently low compliance. Recruitment maneuver was not able to improve lung compliance. Patients were on supine position in 1,422 h (51%), followed by prone positioning (499 h, 18%), left positioning (453 h, 16%), and right positioning (404 h, 15%). As compared with supine positioning, prone positioning was associated with 2.31 ml/cmH2O (95% CI: 1.75 to 2.86; p < 0.001) increase in lung compliance. Spirometry tests showed that pulmonary functions were reduced to one third of the predicted values after extubation. Conclusions: The study for the first time described full trajectory of lung mechanics of patients with COVID-19. The result showed that prone positioning was associated with improved compliance; higher plateau pressure and use of neuromuscular blockades were associated with lower risk of AI.
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Affiliation(s)
- Huiqing Ge
- Department of Respiratory Care, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qing Pan
- College of Information Engineering, Zhejiang University of Technology, Hangzhou, China
| | - Yong Zhou
- Department of Pulmonary Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peifeng Xu
- Department of Respiratory Care, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lingwei Zhang
- College of Information Engineering, Zhejiang University of Technology, Hangzhou, China
| | - Junli Zhang
- Department of Infectious Diseases, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jun Yi
- Thoracic Cardiovascular Surgery, Jingmen First People's Hospital, Jingmen, China
| | - Changming Yang
- Department of Anesthesiology, The First People's of Hospital of Jingmen City, Jingmen, China
| | - Yuhan Zhou
- College of Information Engineering, Zhejiang University of Technology, Hangzhou, China
| | - Limin Liu
- Department of Administration, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhongheng Zhang
- Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Sun Q, Zhou C, Chase JG. Parameter updating of a patient-specific lung mechanics model for optimising mechanical ventilation. Biomed Signal Process Control 2020. [DOI: 10.1016/j.bspc.2020.102003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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22
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Liu K, Huang C, Xu M, Wu J, Frerichs I, Moeller K, Zhao Z. PEEP guided by electrical impedance tomography during one-lung ventilation in elderly patients undergoing thoracoscopic surgery. ANNALS OF TRANSLATIONAL MEDICINE 2019; 7:757. [PMID: 32042773 DOI: 10.21037/atm.2019.11.95] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background To examine the influence of positive end-expiratory pressure (PEEP) settings on lung mechanics and oxygenation in elderly patients undergoing thoracoscopic surgery. Methods One hundred patients aged >65 years were randomly allocated into either the PEEP5 or the electrical impedance tomography (EIT) group (PEEPEIT). Each group underwent volume-controlled ventilation (tidal volume 6 mL/kg predicted body weight) with the PEEP either fixed at 5 cmH2O or set at an individualized EIT setting. The primary endpoint was the ratio of the arterial oxygen partial pressure to the fractional inspired oxygen (PaO2/FiO2). The secondary endpoints included the driving pressure, and dynamic respiratory system compliance (Cdyn). Other outcomes, such as the mean airway pressure (Pmean), mean arterial pressure (MAP), lung complications and the length of hospital stay were explored. Results The optimal PEEP set by EIT was significantly higher (range from 9-13 cmH2O) than the fixed PEEP. PaO2/FiO2 was 47 mmHg higher (95% CI: 7-86 mmHg; P=0.021), Cdyn was 4.3 mL/cmH2O higher (95% CI: 2.1-6.7 cmH2O; P<0.001), and the driving pressure was 3.7 cmH2O lower (95% CI: 2.2-5.1 mmH2O; P<0.001) at 0.5 h during one-lung ventilation (OLV) in the PEEPEIT group than in the PEEP5 group. At 1 h during OLV, PaO2/FiO2 was 93 mmHg higher (95% CI: 58-128 mmHg; P<0.001), Cdyn was 4.4 mL/cmH2O higher (95% CI: 1.9-6.9 mL/cmH2O; P=0.001), and the driving pressure was 4.9 cmH2O lower (95% CI: 3.8-6.1 cmH2O; P<0.001) in the PEEPEIT group than in the PEEP5 group. PaO2/FiO2 was 107 mmHg higher (95% CI: 56-158 mmHg; P<0.001) in the PEEPEIT group than in the PEEP5 group during double-lung ventilation at the end of surgery. Conclusions PEEP values determined with EIT effectively improved oxygenation and lung mechanics during one lung ventilation in elderly patients undergoing thoracoscopic surgery.
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Affiliation(s)
- Kun Liu
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Chengya Huang
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Meiying Xu
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Jingxiang Wu
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Inez Frerichs
- Department of Anesthesiology and Intensive Care Medicine, University Medical Center of Schleswig-Holstein, Campus Kiel, Germany
| | - Knut Moeller
- Institute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, Germany
| | - Zhanqi Zhao
- Institute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, Germany.,Department of Biomedical Engineering, Fourth Military Medical University, Xi'an 710000, China
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