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Lijović L, de Grooth HJ, Thoral P, Bos L, Feng Z, Radočaj T, Elbers P. Preparing for future pandemics: Automated intensive care electronic health record data extraction to accelerate clinical insights. JOURNAL OF INTENSIVE MEDICINE 2025; 5:167-175. [PMID: 40241836 PMCID: PMC11997597 DOI: 10.1016/j.jointm.2024.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2024] [Revised: 10/05/2024] [Accepted: 10/14/2024] [Indexed: 04/18/2025]
Abstract
Background Manual data abstraction from electronic health records (EHRs) for research on intensive care patients is time-intensive and challenging, especially during high-pressure periods such as pandemics. Automated data extraction is a potential alternative but may raise quality concerns. This study assessed the feasibility and credibility of automated data extraction during the coronavirus disease 2019 (COVID-19) pandemic. Methods We retrieved routinely collected data from the COVID-Predict Dutch Data Warehouse, a multicenter database containing the following data on intensive care patients with COVID-19: demographic, medication, laboratory results, and data from monitoring and life support devices. These data were sourced from EHRs using automated data extraction. We used these data to determine indices of wasted ventilation and their prognostic value and compared our findings to a previously published original study that relied on manual data abstraction largely from the same hospitals. Results Using automatically extracted data, we replicated the original study. Among 1515 patients intubated for over 2 days, Harris-Benedict (HB) estimates of dead space fraction increased over time and were higher in non-survivors at each time point: at the start of ventilation (0.70±0.13 vs. 0.67±0.15, P <0.001), day 1 (0.74±0.10 vs. 0.71±0.11, P<0.001), day 2 (0.77±0.09 vs. 0.73±0.11, P<0.001), and day 3 (0.78±0.09 vs. 0.74±0.10, P<0.001). Patients with HB dead space fraction above the median had an increased mortality rate of 13.5%, compared to 10.1% in those with values below the median (P<0.005). Ventilatory ratio showed similar trends, with mortality increasing from 10.8% to 12.9% (P=0.040). Conversely, the end-tidal-to-arterial partial pressure of carbon dioxide (PaCO₂) ratio was inversely related to mortality, with a lower 28-day mortality in the higher than median group (8.5% vs. 15.1%, P<0.001). After adjusting for base risk, impaired ventilation markers showed no significant association with 28-day mortality. Conclusion Manual data abstraction from EHRs may be unnecessary for reliable research on intensive care patients, highlighting the feasibility and credibility of automated data extraction as a trustworthy and scalable solution to accelerate clinical insights, especially during future pandemics.
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Affiliation(s)
- Lada Lijović
- Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Science, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, University of Amsterdam, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Anesthesiology, Intensive Care and Pain Management, Sestre Milosrdnice University Hospital Center, Zagreb, Croatia
| | - Harm Jan de Grooth
- Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Science, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, University of Amsterdam, Vrije Universiteit, Amsterdam, The Netherlands
| | - Patrick Thoral
- Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Science, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, University of Amsterdam, Vrije Universiteit, Amsterdam, The Netherlands
| | - Lieuwe Bos
- Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Science, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, University of Amsterdam, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Anesthesiology, Intensive Care and Pain Management, Sestre Milosrdnice University Hospital Center, Zagreb, Croatia
| | - Zheng Feng
- Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands
| | - Tomislav Radočaj
- Department of Anesthesiology, Intensive Care and Pain Management, Sestre Milosrdnice University Hospital Center, Zagreb, Croatia
| | - Paul Elbers
- Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Science, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, University of Amsterdam, Vrije Universiteit, Amsterdam, The Netherlands
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Zou X, Zhang H, Wu Y, Li R, Gao X, Wang A, Zhao X, Yang X, Shu H, Qi H, Fu Z, Yuan S, Ma Y, Yang L, Shang Y, Zhao Z. Physiologic Comparison of Airway Pressure Release Ventilation and Low Tidal Volume Ventilation in ARDS: A Randomized Controlled Trial. Chest 2025; 167:453-465. [PMID: 39299389 DOI: 10.1016/j.chest.2024.08.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 08/13/2024] [Accepted: 08/31/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND The physiologic effects of different ventilation strategies on patients with ARDS need to be better understood. RESEARCH QUESTION In patients with ARDS receiving controlled mandatory ventilation, does airway pressure release ventilation (APRV) improve lung ventilation/perfusion (V˙/Q˙) matching and ventilation homogeneity compared with low tidal volume (LTV) ventilation? STUDY DESIGN AND METHODS This study was a single-center randomized controlled trial. Patients with moderate to severe ARDS were ventilated randomly with APRV or LTV ventilation. Electrical impedance tomography (EIT) was used to assess lung ventilation and perfusion. EIT-based data and clinical variables related to respiratory and hemodynamic conditions were collected shortly before randomization (0 hours) and at 12 and 24 hours after randomization. RESULTS A total of 40 patients were included and randomized to the APRV or LTV ventilation group (20 per group). During the 24-hour trial period, patients receiving APRV exhibited significantly increased dorsal ventilation (difference value [24 hours minus 0 hours]: median, 10.82% [interquartile range (IQR), 2.62%-13.74%] vs 0.12% [IQR, -2.81% to 4.76%]; P = .017), decreased dorsal shunt (median, -4.67% [IQR, -6.83% to 0.59%] vs 1.73% [IQR, -0.95% to 5.53%]; P = .008), and increased dorsal V˙/Q˙ matching (median, 4.13% [IQR, -0.26% to 10.47%] vs -3.29% [IQR, -5.05% to 2.81%]; P = .026) than those receiving LTV ventilation. No difference in ventral dead space was observed between study groups (P = .903). Additionally, two indicators of ventilation distribution heterogeneity, global inhomogeneity index and center of ventilation, significantly decreased and significantly increased, respectively, in the APRV group compared with the LTV ventilation group. Patients receiving APRV showed significantly higher Pao2 to Fio2 ratio, higher respiratory system static compliance and lower Paco2 than those receiving LTV ventilation at 24 hours. The cardiac output was comparable in both groups. INTERPRETATION APRV, as compared with LTV ventilation, could recruit dorsal region, reduce dorsal shunt, increase dorsal V˙/Q˙ matching, and improve ventilation homogeneity of the lungs, leading to better gas exchange and respiratory system static compliance in patients with moderate to severe ARDS. CLINICAL TRIAL REGISTRY ClinicalTrials.gov; No.: NCT05767125; URL: www. CLINICALTRIALS gov.
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Affiliation(s)
- Xiaojing Zou
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hongling Zhang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yongran Wu
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ruiting Li
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuehui Gao
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Azhen Wang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xin Zhao
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaobo Yang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huaqing Shu
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hong Qi
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhaohui Fu
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shiying Yuan
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yilei Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Le Yang
- Department of Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - You Shang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Zhanqi Zhao
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, China; Institute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, Germany
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Bouchant L, Godet T, Arpajou G, Aupetitgendre L, Cayot S, Guerin R, Jabaudon M, Verlhac C, Blondonnet R, Borao L, Pereira B, Constantin JM, Bazin JE, Futier E, Audard J. Physiological effects and safety of bed verticalization in patients with acute respiratory distress syndrome. Crit Care 2024; 28:262. [PMID: 39103928 PMCID: PMC11299299 DOI: 10.1186/s13054-024-05013-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 06/29/2024] [Indexed: 08/07/2024] Open
Abstract
BACKGROUND Trunk inclination in patients with Acute Respiratory Distress Syndrome (ARDS) in the supine position has gained scientific interest due to its effects on respiratory physiology, including mechanics, oxygenation, ventilation distribution, and efficiency. Changing from flat supine to semi-recumbent increases driving pressure due to decreased respiratory system compliance. Positional adjustments also deteriorate ventilatory efficiency for CO2 removal, particularly in COVID-19-associated ARDS (C-ARDS), indicating likely lung parenchyma overdistension. Tilting the trunk reduces chest wall compliance and, to a lesser extent, lung compliance and transpulmonary driving pressure, with significant hemodynamic and gas exchange implications. METHODS A prospective, pilot physiological study was conducted on early ARDS patients in two ICUs at CHU Clermont-Ferrand, France. The protocol involved 30-min step gradual verticalization from a 30° semi-seated position (baseline) to different levels of inclination (0°, 30°, 60°, and 90°), before returning to the baseline position. Measurements included tidal volume, positive end-expiratory pressure (PEEP), esophageal pressures, and pulmonary artery catheter data. The primary endpoint was the variation in transpulmonary driving pressure through the verticalization procedure. RESULTS From May 2020 through January 2021, 30 patients were included. Transpulmonary driving pressure increased slightly from baseline (median and interquartile range [IQR], 9 [5-11] cmH2O) to the 90° position (10 [7-14] cmH2O; P < 10-2 for the overall effect of position in mixed model). End-expiratory lung volume increased with verticalization, in parallel to decreases in alveolar strain and increased arterial oxygenation. Verticalization was associated with decreased cardiac output and stroke volume, and increased norepinephrine doses and serum lactate levels, prompting interruption of the procedure in two patients. There were no other adverse events such as falls or equipment accidental removals. CONCLUSIONS Verticalization to 90° is feasible in ARDS patients, improving EELV and oxygenation up to 30°, likely due to alveolar recruitment and blood flow redistribution. However, there is a risk of overdistension and hemodynamic instability beyond 30°, necessitating individualized bed angles based on clinical situations. Trial registration ClinicalTrials.gov registration number NCT04371016 , April 24, 2020.
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Affiliation(s)
- Louis Bouchant
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France
| | - Thomas Godet
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France.
- Department of Healthcare Simulation, Université Clermont Auvergne, Clermont-Ferrand, France.
| | - Gauthier Arpajou
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France
| | - Lucie Aupetitgendre
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France
| | - Sophie Cayot
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France
| | - Renaud Guerin
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France
| | - Matthieu Jabaudon
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France
- Université Clermont Auvergne, iGreD, CNRS, INSERM, Clermont-Ferrand, France
| | - Camille Verlhac
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France
| | - Raiko Blondonnet
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France
- Université Clermont Auvergne, iGreD, CNRS, INSERM, Clermont-Ferrand, France
| | - Lucile Borao
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France
| | - Bruno Pereira
- Direction de la Recherche Clinique et de l'Innovation (DRCI), Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, Biostatistics Unit, Clermont-Ferrand, France
| | - Jean-Michel Constantin
- Assistance Publique-Hôpitaux de Paris (AP-HP), Département Anesthésie et Réanimation, Hôpital Pitié-Salpêtrière, DREAM, Sorbonne Université, Paris, France
| | - Jean-Etienne Bazin
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France
- Department of Healthcare Simulation, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Emmanuel Futier
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France
- Université Clermont Auvergne, iGreD, CNRS, INSERM, Clermont-Ferrand, France
| | - Jules Audard
- Department of Perioperative Medicine, Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, 1 Place Lucie Et Raymond Aubrac, 63000, Clermont-Ferrand, France.
- Université Clermont Auvergne, iGreD, CNRS, INSERM, Clermont-Ferrand, France.
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Jiang L, Chen H, Xie J, Liu L, Yang Y. Prognostic value of time-varying dead space estimates in mechanically ventilated patients with acute respiratory distress syndrome. JOURNAL OF INTENSIVE MEDICINE 2024; 4:187-193. [PMID: 38681797 PMCID: PMC11043632 DOI: 10.1016/j.jointm.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/09/2023] [Accepted: 08/10/2023] [Indexed: 05/01/2024]
Abstract
Background The dead space fraction (VD/VT) has proven to be a powerful predictor of higher mortality in acute respiratory distress syndrome (ARDS). However, its measurement relies on expired carbon dioxide, limiting its widespread application in clinical practice. Several estimates employing routine variables have been found to be reliable substitutes for direct measurement of VD/VT. In this study, we evaluated the prognostic value of these dead space estimates obtained in the first 7 days following the initiation of ventilation. Methods This retrospective observational study was conducted using data from the Chinese database in intensive care (CDIC). Eligible participants were adult ARDS patients receiving invasive mechanical ventilation while in the intensive care unit between 1st January 2014 and 31st March 2021. We collected data during the first 7 days of ventilation to calculate various dead space estimates, including ventilatory ratio (VR), corrected minute ventilation (V ˙ Ecorr ), VD/VT (Harris-Benedict), VD/VT (Siddiki estimate), and VD/VT (Penn State estimate) longitudinally. A time-dependent Cox model was used to handle these time-varying estimates. Results A total of 392 patients (median age 66 [interquartile range: 55-77] years, median SOFA score 9 [interquartile range: 7-12]) were finally included in our analysis, among whom 132 (33.7%) patients died within 28 days of admission. VR (hazard ratio [HR]=1.04 per 0.1 increase, 95% confidence interval [CI]: 1.01 to 1.06; P=0.013), V ˙ Ecorr (HR=1.08 per 1 increase, 95% CI: 1.04 to 1.12; P < 0.001), VD/VT (Harris-Benedict) (HR=1.25 per 0.1 increase, 95% CI: 1.06 to 1.47; P=0.006), and VD/VT (Penn State estimate) (HR=1.22 per 0.1 increase, 95% CI: 1.04 to 1.44; P=0.017) remained significant after adjustment, while VD/VT (Siddiki estimate) (HR=1.10 per 0.1 increase, 95% CI: 1.00 to 1.20; P=0.058) did not. Given a large number of negative values, VD/VT (Siddiki estimate) and VD/VT (Penn State estimate) were not recommended as reliable substitutes. Long-term exposure to VR >1.3, V ˙ Ecorr >7.53, and VD/VT (Harris-Benedict) >0.59 was independently associated with an increased risk of mortality in ARDS patients. These findings were validated in the fluid and catheter treatment trial (FACTT) database. Conclusions In cases where VD/VT cannot be measured directly, early time-varying estimates of VD/VT such as VR, V ˙ Ecorr , and VD/VT (Harris-Benedict) can be considered for predicting mortality in ARDS patients, offering a rapid bedside application.
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Affiliation(s)
- Lianlian Jiang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Hui Chen
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
- Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou, Jiangsu, China
| | - Jianfeng Xie
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Ling Liu
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Yi Yang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
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Parada-Gereda HM, Avendaño JM, Melo JE, Ruiz CI, Castañeda MI, Medina-Parra J, Merchán-Chaverra R, Corzzo D, Molano-Franco D, Masclans JR. Association between ventilatory ratio and mortality in patients with acute respiratory distress syndrome and COVID 19: A multicenter, retrospective cohort study. BMC Pulm Med 2023; 23:425. [PMID: 37924051 PMCID: PMC10623871 DOI: 10.1186/s12890-023-02733-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 10/25/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND Mortality rates in patients with COVID-19 undergoing mechanical ventilation in the intensive care unit are high. The causes of this mortality have been rigorously investigated. The aim of the present study is to establish mortality risk factors related to lung mechanics measured at days 1 and 5 in patients with covid-19 ARDS managed with invasive mechanical ventilation in the intensive care unit. METHODS A retrospective observational multicenter study including consecutive patients with a confirmed diagnosis of COVID-19-induced ARDS, admitted to three institutions and seven intensive care units in the city of Bogota between May 20, 2020 and May 30, 2022 who required mechanical ventilation for at least five days. Data were collected from the medical records of patients who met the inclusion criteria on day 1 and day 5 of mechanical ventilation. The primary outcome assessed was mortality at day 30. RESULTS A total of 533 consecutive patients admitted with ARDS with COVID-19 were included. Ventilatory ratio, plateau pressure and driving pressure measured on day 5 were significantly higher in non-survivors (p < 0.05). Overall, 30-day follow-up mortality was 48.8%. The increases between day 1 and day 5 in the ventilatory ratio (OR 1.42, 95%CI 1.03-2.01, p = 0.04), driving pressure (OR 1.56, 95%CI 1.10-2.22, p = 0.01); and finally plateau pressure (OR 1.9, 95%CI 1.34-2.69, p = 0.001) were associated with an increased risk of death. There was no association between deterioration of PaO2/FIO2 index and mortality (OR 1.34, 95%CI 0.96-1.56, p = 0.053). CONCLUSIONS Ventilatory ratio, plateau pressure, driving pressure, and age were identified as independent risk factors for 30-day mortality in patients with ARDS due to COVID-19 on day 5 of invasive mechanical ventilation.
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Affiliation(s)
- Henry M Parada-Gereda
- Intensive Care Unit Clínica Reina Sofia, Clínica Colsanitas. Clinical Nutrition and Rehabilitation Research Group, Fundación Universitaria Sanitas. Grupo Keralty, Bogotá, Colombia.
| | - Janneth M Avendaño
- Intensive Care Unit Clínica Reina Sofia, Mujer y Pediátrica, Clínica Colsanitas, Clinical Nutrition and Rehabilitation Research Group, Fundación Universitaria Sanitas. Grupo Keralty, Bogotá, Colombia
| | - Johana E Melo
- Intensive Care Unit Clinica Universitaria Colombia, Fundacion Universitaria Sanitas. Grupo Keralty, Bogotá, Colombia
| | - Claudia I Ruiz
- Department Clínica Reina Sofía, Clínica Reina Sofia, Mujer y Pediátrica. Grupo Keralty, Bogotá, Colombia
| | | | - Jorge Medina-Parra
- Clinical Nutrition and Rehabilitation Research Group, Fundación Universitaria Sanitas. grupo Keralty, Bogotá, Colombia
| | - Ricardo Merchán-Chaverra
- Clinical Nutrition and Rehabilitation Research Group, Fundación Universitaria Sanitas. Clinica Santa Maria del Lago. Grupo Keralty, Bogota, Colombia
- Facultad de Medicina, Fundación Universitaria Sanitas, Bogotá, Colombia
- Latin American Nutrition Center (CELAN), Chía (Cundinamarca), Colombia
| | - Dinia Corzzo
- Intensive Care Unit Clínica Reina Sofía, Intensive Care Unit Center of Cancer Research and Treatment (CTIC), Bogotá, Colombia
| | - Daniel Molano-Franco
- Intensive Care Unit, Los Cobos Medical Center, Hospital San José, Center of Cancer Research and Treatment, Research Group Gribos, Bogotá, Colombia
| | - Joan Ramón Masclans
- Critical Care Department, Hospital del Mar Barcelona, Barcelona, Spain
- Critical Care Illness Research Group (GREPAC), IMIM. Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra (UPF), Barcelona, Spain
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Jayasimhan D, Chieng J, Kolbe J, Sidebotham DA. Dead-Space Ventilation Indices and Mortality in Acute Respiratory Distress Syndrome: A Systematic Review and Meta-Analysis. Crit Care Med 2023; 51:1363-1372. [PMID: 37204257 DOI: 10.1097/ccm.0000000000005921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
OBJECTIVES Acute respiratory distress syndrome (ARDS) is associated with high ventilation-perfusion heterogeneity and dead-space ventilation. However, whether the degree of dead-space ventilation is associated with outcomes is uncertain. In this systematic review and meta-analysis, we evaluated the ability of dead-space ventilation measures to predict mortality in patients with ARDS. DATA SOURCES MEDLINE, CENTRAL, and Google Scholar from inception to November 2022. STUDY SELECTION Studies including adults with ARDS reporting a dead-space ventilation index and mortality. DATA EXTRACTION Two reviewers independently identified eligible studies and extracted data. We calculated pooled effect estimates using a random effects model for both adjusted and unadjusted results. The quality and strength of evidence were assessed using the Quality in Prognostic Studies and Grading of Recommendations, Assessment, Development, and Evaluation, respectively. DATA SYNTHESIS We included 28 studies in our review, 21 of which were included in our meta-analysis. All studies had a low risk of bias. A high pulmonary dead-space fraction was associated with increased mortality (odds ratio [OR], 3.52; 95% CI, 2.22-5.58; p < 0.001; I2 = 84%). After adjusting for other confounding variables, every 0.05 increase in pulmonary-dead space fraction was associated with an increased odds of death (OR, 1.23; 95% CI, 1.13-1.34; p < 0.001; I2 = 57%). A high ventilatory ratio was also associated with increased mortality (OR, 1.55; 95% CI, 1.33-1.80; p < 0.001; I2 = 48%). This association was independent of common confounding variables (OR, 1.33; 95% CI, 1.12-1.58; p = 0.001; I2 = 66%). CONCLUSIONS Dead-space ventilation indices were independently associated with mortality in adults with ARDS. These indices could be incorporated into clinical trials and used to identify patients who could benefit from early institution of adjunctive therapies. The cut-offs identified in this study should be prospectively validated.
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Affiliation(s)
- Dilip Jayasimhan
- Cardiothoracic and Vascular Intensive Care Unit, Te Whatu Ora Te Toka Tumai Auckland, Auckland, New Zealand
- Respiratory Services, Te Whatu Ora Te Toka Tumai Auckland, Auckland, New Zealand
| | - Jennifer Chieng
- Respiratory Services, Te Whatu Ora Te Toka Tumai Auckland, Auckland, New Zealand
| | - John Kolbe
- Respiratory Services, Te Whatu Ora Te Toka Tumai Auckland, Auckland, New Zealand
- Department of Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - David A Sidebotham
- Cardiothoracic and Vascular Intensive Care Unit, Te Whatu Ora Te Toka Tumai Auckland, Auckland, New Zealand
- Department of Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
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7
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Camporota L, Sanderson B, Worrall S, Ostermann M, Barrett NA, Retter A, Busana M, Collins P, Romitti F, Hunt BJ, Rose L, Gattinoni L, Chiumello D. Relationship between D-dimers and dead-space on disease severity and mortality in COVID-19 acute respiratory distress syndrome: A retrospective observational cohort study. J Crit Care 2023; 77:154313. [PMID: 37116437 PMCID: PMC10129848 DOI: 10.1016/j.jcrc.2023.154313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 03/13/2023] [Accepted: 04/11/2023] [Indexed: 04/30/2023]
Abstract
BACKGROUND Despite its diagnostic and prognostic importance, physiologic dead space fraction is not included in the current ARDS definition or severity classification. ARDS caused by COVID-19 (C-ARDS) is characterized by increased physiologic dead space fraction and hypoxemia. Our aim was to investigate the relationship between dead space indices, markers of inflammation, immunothrombosis, severity and intensive care unit (ICU) mortality. RESULTS Retrospective data including demographics, gas exchange, ventilatory parameters, and respiratory mechanics in the first 24 h of invasive ventilation. Plasma concentrations of D-dimers and ferritin were not significantly different across C-ARDS severity categories. Weak relationships were found between D-dimers and VR (r = 0.07, p = 0.13), PETCO2/PaCO2 (r = -0.1, p = 0.02), or estimated dead space fraction (r = 0.019, p = 0.68). Age, PaO2/FiO2, pH, PETCO2/PaCO2 and ferritin, were independently associated with ICU mortality. We found no association between D-dimers or ferritin and any dead-space indices adjusting for PaO2/FiO2, days of ventilation, tidal volume, and respiratory system compliance. CONCLUSIONS We report no association between dead space and inflammatory markers in mechanically ventilated patients with C-ARDS. Our results support theories suggesting that multiple mechanisms, in addition to immunothrombosis, play a role in the pathophysiology of respiratory failure and degree of dead space in C-ARDS.
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Affiliation(s)
- Luigi Camporota
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK; Centre of Human Applied Physiological Sciences, King's College London, London, UK
| | - Barnaby Sanderson
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Stephanie Worrall
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Marlies Ostermann
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Nicholas A Barrett
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Andrew Retter
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Mattia Busana
- Department of Anesthesiology, University Medical Center of Göttingen, Germany
| | - Patrick Collins
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Federica Romitti
- Department of Anesthesiology, University Medical Center of Göttingen, Germany
| | - Beverley J Hunt
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK
| | - Louise Rose
- Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK; Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, UK
| | - Luciano Gattinoni
- Department of Anesthesiology, University Medical Center of Göttingen, Germany
| | - Davide Chiumello
- Department of Anesthesiology and Intensive Care, ASST Santi e Paolo Hospital, University of Milan, Italy.
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Mollura M, Baroncelli F, Mandelli G, Tricella G, Weissman GE, Poole D, Caironi P, Celi LA, Barbieri R, Finazzi S. Physiologic dead space is independently associated with mortality and discharge of mechanically ventilated patients with COVID-19 ARDS: a retrospective study. Sci Rep 2023; 13:5719. [PMID: 37029215 PMCID: PMC10081332 DOI: 10.1038/s41598-023-31999-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 03/21/2023] [Indexed: 04/09/2023] Open
Abstract
Physiologic dead space is a well-established independent predictor of death in patients with acute respiratory distress syndrome (ARDS). Here, we explore the association between a surrogate measure of dead space (DS) and early outcomes of mechanically ventilated patients admitted to Intensive Care Unit (ICU) because of COVID-19-associated ARDS. Retrospective cohort study on data derived from Italian ICUs during the first year of the COVID-19 epidemic. A competing risk Cox proportional hazard model was applied to test for the association of DS with two competing outcomes (death or discharge from the ICU) while adjusting for confounders. The final population consisted of 401 patients from seven ICUs. A significant association of DS with both death (HR 1.204; CI 1.019-1.423; p = 0.029) and discharge (HR 0.434; CI 0.414-0.456; p [Formula: see text]) was noticed even when correcting for confounding factors (age, sex, chronic obstructive pulmonary disease, diabetes, PaO[Formula: see text]/FiO[Formula: see text], tidal volume, positive end-expiratory pressure, and systolic blood pressure). These results confirm the important association between DS and death or ICU discharge in mechanically ventilated patients with COVID-19-associated ARDS. Further work is needed to identify the optimal role of DS monitoring in this setting and to understand the physiological mechanisms underlying these associations.
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Affiliation(s)
- Maximiliano Mollura
- Department of Electronic, Information and Bioengineering, Politecnico di Milano, Milan, Lombardia, Italy.
- Department of Medical Epidemiology, Mario Negri Institute for Pharmacological Research IRCCS, 24020, Ranica, Lombardia, Italy.
| | - Francesca Baroncelli
- Department of Anesthesia and Intensive Care, San Giovanni Bosco Hospital-ASL Città di Torino, Turin, Piemonte, Italy
| | - Giulia Mandelli
- Department of Medical Epidemiology, Mario Negri Institute for Pharmacological Research IRCCS, 24020, Ranica, Lombardia, Italy
| | - Giovanni Tricella
- Department of Medical Epidemiology, Mario Negri Institute for Pharmacological Research IRCCS, 24020, Ranica, Lombardia, Italy
| | - Gary E Weissman
- Palliative and Advanced Illness Research (PAIR) Center and Pulmonary, Allergy and Critical Care Division, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Daniele Poole
- Operative Unit ofAnesthesia and Intensive Care Unit, S. Martino Hospital, Belluno, Veneto, Italy
| | - Pietro Caironi
- Department of Anesthesia and Critical Care, Azienda Ospedaliero-Universitaria S. Luigi Gonzaga, Orbassano, Piemonte, Italy
- Department of Oncology, University of Turin, Turin, Piemonte, Italy
| | - Leo Anthony Celi
- Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Riccardo Barbieri
- Department of Electronic, Information and Bioengineering, Politecnico di Milano, Milan, Lombardia, Italy
| | - Stefano Finazzi
- Department of Medical Epidemiology, Mario Negri Institute for Pharmacological Research IRCCS, 24020, Ranica, Lombardia, Italy
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9
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Chotalia M, Ali M, Alderman JE, Bansal S, Patel JM, Bangash MN, Parekh D. Cardiovascular Subphenotypes in Acute Respiratory Distress Syndrome. Crit Care Med 2023; 51:460-470. [PMID: 36728428 DOI: 10.1097/ccm.0000000000005751] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVES To use clustering methods on transthoracic echocardiography (TTE) findings and hemodynamic parameters to characterize circulatory failure subphenotypes and potentially elucidate underlying mechanisms in patients with acute respiratory distress syndrome (ARDS) and to describe their association with mortality compared with current definitions of right ventricular dysfunction (RVD). DESIGN Retrospective, single-center cohort study. SETTING University Hospital ICU, Birmingham, United Kingdom. PATIENTS ICU patients that received TTE within 7 days of ARDS onset between April 2016 and December 2021. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Latent class analysis (LCA) of TTE/hemodynamic parameters was performed in 801 patients, 62 years old (interquartile range, 50-72 yr old), 63% male, and 40% 90-day mortality rate. Four cardiovascular subphenotypes were identified: class 1 (43%; mostly normal left and right ventricular [LV/RV] function), class 2 (24%; mostly dilated RV with preserved systolic function), class 3 (13%, mostly dilated RV with impaired systolic function), and class 4 (21%; mostly high cardiac output, with hyperdynamic LV function). The four subphenotypes differed in their characteristics and outcomes, with 90-day mortality rates of 19%, 40%, 78%, and 59% in classes 1-4, respectively ( p < 0.0001). Following multivariable logistic regression analysis, class 3 had the highest odds ratio (OR) for mortality (OR, 6.9; 95% CI, 4.0-11.8) compared with other RVD definitions. Different three-variable models had high diagnostic accuracy in identifying each of these latent subphenotypes. CONCLUSIONS LCA of TTE parameters identified four cardiovascular subphenotypes in ARDS that more closely aligned with circulatory failure mechanisms and mortality than current RVD definitions.
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Affiliation(s)
- Minesh Chotalia
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Muzzammil Ali
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Joseph E Alderman
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Sukh Bansal
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Jaimin M Patel
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Mansoor N Bangash
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Dhruv Parekh
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
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10
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Zheng M. Dead space ventilation-related indices: bedside tools to evaluate the ventilation and perfusion relationship in patients with acute respiratory distress syndrome. Crit Care 2023; 27:46. [PMID: 36732812 PMCID: PMC9894747 DOI: 10.1186/s13054-023-04338-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 01/30/2023] [Indexed: 02/04/2023] Open
Abstract
Cumulative evidence has demonstrated that the ventilatory ratio closely correlates with mortality in acute respiratory distress syndrome (ARDS), and a primary feature in coronavirus disease 2019 (COVID-19)-ARDS is increased dead space that has been reported recently. Thus, new attention has been given to this group of dead space ventilation-related indices, such as physiological dead space fraction, ventilatory ratio, and end-tidal-to-arterial PCO2 ratio, which, albeit distinctive, are all global indices with which to assess the relationship between ventilation and perfusion. These parameters have already been applied to positive end expiratory pressure titration, prediction of responses to the prone position and the field of extracorporeal life support for patients suffering from ARDS. Dead space ventilation-related indices remain hampered by several deflects; notwithstanding, for this catastrophic syndrome, they may facilitate better stratifications and identifications of subphenotypes, thereby providing therapy tailored to individual needs.
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Affiliation(s)
- Mingjia Zheng
- Department of Respiratory and Critical Care Medicine, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No. 1558, Sanhuan North Road, Wuxing, Huzhou, Zhejiang, People's Republic of China.
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11
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Slobod D, Damia A, Leali M, Spinelli E, Mauri T. Pathophysiology and Clinical Meaning of Ventilation-Perfusion Mismatch in the Acute Respiratory Distress Syndrome. BIOLOGY 2022; 12:biology12010067. [PMID: 36671759 PMCID: PMC9855693 DOI: 10.3390/biology12010067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/20/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023]
Abstract
Acute respiratory distress syndrome (ARDS) remains an important clinical challenge with a mortality rate of 35-45%. It is being increasingly demonstrated that the improvement of outcomes requires a tailored, individualized approach to therapy, guided by a detailed understanding of each patient's pathophysiology. In patients with ARDS, disturbances in the physiological matching of alveolar ventilation (V) and pulmonary perfusion (Q) (V/Q mismatch) are a hallmark derangement. The perfusion of collapsed or consolidated lung units gives rise to intrapulmonary shunting and arterial hypoxemia, whereas the ventilation of non-perfused lung zones increases physiological dead-space, which potentially necessitates increased ventilation to avoid hypercapnia. Beyond its impact on gas exchange, V/Q mismatch is a predictor of adverse outcomes in patients with ARDS; more recently, its role in ventilation-induced lung injury and worsening lung edema has been described. Innovations in bedside imaging technologies such as electrical impedance tomography readily allow clinicians to determine the regional distributions of V and Q, as well as the adequacy of their matching, providing new insights into the phenotyping, prognostication, and clinical management of patients with ARDS. The purpose of this review is to discuss the pathophysiology, identification, consequences, and treatment of V/Q mismatch in the setting of ARDS, employing experimental data from clinical and preclinical studies as support.
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Affiliation(s)
- Douglas Slobod
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca’ Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy
- Department of Critical Care Medicine, McGill University, Montreal, QC H3A 3R1, Canada
| | - Anna Damia
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
| | - Marco Leali
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
| | - Elena Spinelli
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca’ Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Tommaso Mauri
- Department of Anesthesia, Critical Care and Emergency, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca’ Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
- Correspondence:
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12
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Boffi A, Ravenel M, Lupieri E, Schneider A, Liaudet L, Gonzalez M, Chiche JD, Piquilloud L. Physiological response to prone positioning in intubated adults with COVID-19 acute respiratory distress syndrome: a retrospective study. Respir Res 2022; 23:320. [PMID: 36402990 DOI: 10.1186/s12931-022-02247-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 11/09/2022] [Indexed: 11/20/2022] Open
Abstract
Abstract
Background
COVID-19 related acute respiratory distress syndrome (ARDS) has specific characteristics compared to ARDS in other populations. Proning is recommended by analogy with other forms of ARDS, but few data are available regarding its physiological effects in this population. This study aimed to assess the effects of proning on oxygenation parameters (PaO2/FiO2 and alveolo-arterial gradient (Aa-gradient)), blood gas analysis, ventilatory ratio (VR), respiratory system compliance (CRS) and estimated dead space fraction (VD/VT HB). We also looked for variables associated with treatment failure.
Methods
Retrospective monocentric study of intubated COVID-19 ARDS patients managed with an early intubation, low to moderate positive end-expiratory pressure and early proning strategy hospitalized from March 6 to April 30 2020. Blood gas analysis, PaO2/FiO2, Aa-gradient, VR, CRS and VD/VT HB were compared before and at the end of each proning session with paired t-tests or Wilcoxon tests (p < 0.05 considered as significant). Proportions were assessed using Fischer exact test or Chi square test.
Results
Forty-two patients were included for a total of 191 proning sessions, median duration of 16 (5–36) hours. Considering all sessions, PaO2/FiO2 increased (180 [148–210] vs 107 [90–129] mmHg, p < 0.001) and Aa-gradient decreased (127 [92–176] vs 275 [211–334] mmHg, p < 0.001) with proning. CRS (36.2 [30.0–41.8] vs 32.2 [27.5–40.9] ml/cmH2O, p = 0.003), VR (2.4 [2.0–2.9] vs 2.3 [1.9–2.8], p = 0.028) and VD/VT HB (0.72 [0.67–0.76] vs 0.71 [0.65–0.76], p = 0.022) slightly increased. Considering the first proning session, PaO2/FiO2 increased (186 [165–215] vs 104 [94–126] mmHg, p < 0.001) and Aa-gradient decreased (121 [89–160] vs 276 [238–321] mmHg, p < 0.001), while CRS, VR and VD/VT HB were unchanged. Similar variations were observed during the subsequent proning sessions. Among the patients who experienced treatment failure (defined as ICU death or need for extracorporeal membrane oxygenation), fewer expressed a positive response in terms of oxygenation (defined as increase of more than 20% in PaO2/FiO2) to the first proning (67 vs 97%, p = 0.020).
Conclusion
Proning in COVID-19 ARDS intubated patients led to an increase in PaO2/FiO2 and a decrease in Aa-gradient if we consider all the sessions together, the first one or the 4 subsequent sessions independently. When considering all sessions, CRS increased and VR and VD/VT HB only slightly increased.
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13
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Correlación entre el aumento del dímero D en sangre con el espacio muerto en pacientes con COVID-19 y síndrome de dificultad respiratoria aguda. ACTA COLOMBIANA DE CUIDADO INTENSIVO 2022. [PMCID: PMC9296507 DOI: 10.1016/j.acci.2022.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Introducción Desde diciembre de 2019, un número de casos de neumonía por síndrome respiratorio agudo severo (SARS) CoV2/COVID-19 en Wuhan, China, se identificaron como causa de insuficiencia respiratoria aguda, y se propagaron por el mundo a gran velocidad. Debido al gran número de casos y a la necesidad de entender más esta condición, surge la necesidad de identificar herramientas que gradúen la intensidad y el pronóstico vital de los pacientes. El objetivo de este estudio es determinar la relación entre el espacio muerto medido por capnografía volumétrica o por ventilatory ratio y el aumento de los niveles de dímero D en los pacientes con diagnóstico de neumonía por COVID-19 y que cumplan los criterios de Berlín para síndrome de dificultad respiratoria aguda (SDRA). Materiales y métodos Se realizó un estudio observacional de una cohorte prospectiva, monocéntrico, sobre el uso de dímero D y la correlación con el espacio muerto. Se incluyeron adultos mayores de 18 años con diagnóstico de neumonía por COVID-19 y SDRA hospitalizados en las unidades de cuidados intensivos del Hospital Santa Clara en Bogotá, Colombia, desde agosto de 2020 hasta julio de 2021. Resultados El estudio incluyó 67 pacientes, con diagnóstico de SARS-CoV-2 confirmado en todos ellos, no se encontró asociación entre dímero D y espacio muerto en el día 1 y 3 de la hospitalización en la UCI. Conclusión El dímero D no se correlaciona con el aumento del espacio muerto en nuestro estudio y tampoco se asoció con los desenlaces clínicos relevantes en los pacientes con SDRA.
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14
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Chotalia M, Ali M, Alderman JE, Patel JM, Parekh D, Bangash MN. Cardiovascular subphenotypes in patients with COVID-19 pneumonitis whose lungs are mechanically ventilated: a single-centre retrospective observational study. Anaesthesia 2022; 77:763-771. [PMID: 35243617 PMCID: PMC9314994 DOI: 10.1111/anae.15700] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/04/2022] [Indexed: 12/26/2022]
Abstract
Unsupervised clustering methods of transthoracic echocardiography variables have not been used to characterise circulatory failure mechanisms in patients with COVID‐19 pneumonitis. We conducted a retrospective, single‐centre cohort study in ICU patients with COVID‐19 pneumonitis whose lungs were mechanically ventilated and who underwent transthoracic echocardiography between March 2020 and May 2021. We performed latent class analysis of echocardiographic and haemodynamic variables. We characterised the identified subphenotypes by comparing their clinical parameters, treatment responses and 90‐day mortality rates. We included 305 patients with a median (IQR [range]) age 59 (49–66 [16–83]) y. Of these, 219 (72%) were male, 199 (65%) had moderate acute respiratory distress syndrome and 113 (37%) did not survive more than 90 days. Latent class analysis identified three cardiovascular subphenotypes: class 1 (52%; normal right ventricular function); class 2 (31%; right ventricular dilation with mostly preserved systolic function); and class 3 (17%; right ventricular dilation with systolic impairment). The three subphenotypes differed in their clinical characteristics and response to prone ventilation and outcomes, with 90‐day mortality rates of 22%, 42% and 73%, respectively (p < 0.001). We conclude that the identified subphenotypes aligned with right ventricular pathophysiology rather than the accepted definitions of right ventricular dysfunction, and these identified classifications were associated with clinical outcomes.
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Affiliation(s)
- M Chotalia
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, Birmingham, UK
| | - M Ali
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, UK
| | - J E Alderman
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, UK
| | - J M Patel
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, UK
| | - D Parekh
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, UK
| | - M N Bangash
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, UK
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15
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Chuang ML, Hsieh BYT, Lin IF. Prediction and types of dead-space fraction during exercise in male chronic obstructive pulmonary disease patients. Medicine (Baltimore) 2022; 101:e28800. [PMID: 35147114 PMCID: PMC8830857 DOI: 10.1097/md.0000000000028800] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 01/19/2022] [Indexed: 11/30/2022] Open
Abstract
A high dead space (VD) to tidal volume (VT) ratio during peak exercise (VD/VTpeak) is a sensitive and consistent marker of gas exchange abnormalities; therefore, it is important in patients with chronic obstructive pulmonary disease (COPD). However, it is necessary to use invasive methods to obtain VD/VTpeak, as noninvasive methods, such as end-tidal PCO2 (PETCO2peak) and PETCO2 adjusted with Jones' equation (PJCO2peak) at peak exercise, have been reported to be inconsistent with arterial PCO2 at peak exercise (PaCO2peak). Hence, this study aimed to generate prediction equations for VD/VTpeak using statistical techniques, and to use PETCO2peak and PJCO2peak to calculate the corresponding VD/VTpeaks (i.e., VD/VTpeakETVD/VTpeakJ).A total of 46 male subjects diagnosed with COPD who underwent incremental cardiopulmonary exercise tests with PaCO2 measured via arterial catheterization were enrolled. Demographic data, blood laboratory tests, functional daily activities, chest radiography, two-dimensional echocardiography, and lung function tests were assessed.In multivariate analysis, diffusing capacity, vital capacity, mean inspiratory tidal flow, heart rate, and oxygen pulse at peak exercise were selected with a predictive power of 0.74. There were no significant differences in the PCO2peak values and the corresponding VD/VTpeak values across the three types (both p = NS).In subjects with COPD, VD/VTpeak can be estimated using statistical methods and the PETCO2peak and PJCO2peak. These methods may have similar predictive power and thus can be used in clinical practice.
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Affiliation(s)
- Ming-Lung Chuang
- Division of Pulmonary Medicine and Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan, ROC
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan, ROC
| | | | - I-Feng Lin
- Institute of Public Health, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
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16
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Oh SB, Aguilan A, Tan HL, Ma YJ, Sultana R, Lee JH, Wong JJM. The Association Between Alveolar Dead Space Fraction and Mortality in Pediatric Acute Respiratory Distress Syndrome: A Prospective Cohort Study. Front Pediatr 2022; 10:814484. [PMID: 35295701 PMCID: PMC8918668 DOI: 10.3389/fped.2022.814484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 01/17/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Alveolar dead-space fraction (AVDSF), the volume of alveolar gas that does not participate in gas exchange, has been reported to predict mortality and morbidity in adults with acute respiratory distress syndrome (ARDS). This study aims to characterize AVDSF in patients with pediatric ARDS (PARDS), to determine its association with clinical outcomes and examine the validity of a previously studied cutoff (AVDSF > 0.25). METHODS This was a prospective cohort study performed in the setting of a lung protective mechanical ventilation protocol. AVDSF was calculated by the equation: AVDSF = [partial pressure of arterial carbon dioxide (PaCO2) - end tidal carbon dioxide (etCO2)]/PaCO2. Receiver operating curve and Youden index were used to identify an AVDSF cutoff associated with mortality, which characterized "high or low AVDSF" groups. Correlation between AVDSF and clinical indices of severity were determined [including daily oxygenation index (OI), admission Pediatric Index of Mortality 2 (PIM 2) and Pediatric Logistic Organ Dysfunction (PELOD) scores]. The primary outcome, mortality in PARDS patients, was compared between the high and low AVDSF groups and analyzed in a multivariable logistic regression adjusting for inotrope use and PIM 2 score. Secondary outcomes included 28-day ventilator-free (VFD) and intensive care unit-free (IFD) days. RESULTS Sixty-nine PARDS patients with a median (interquartile range) age of 4.5 (0.8, 10.6) years were included in this analysis. Daily AVDSF correlated with daily OI (R 2 = 0.10; p < 0.001). Mean AVDSF over the first 7 days of PARDS correlated with PIM 2 (R 2 = 0.10; p = 0.010) and PELOD (R 2 = 0.12; p = 0.004) scores. The greatest area under the curve identified an AVDSF cutoff of 0.22, which was close to the previously suggested 0.25. The high AVDSF group had higher mortality [7/19 (36.8%) vs. 5/50 (10.0%); p = 0.009] and lower VFD [2 (0, 18) vs. 21 (15, 24); p = 0.007] and IFD [0 (0, 16) vs. 16 (5, 21); p = 0.013]. In the multivariable model, being in the high AVDSF group [adjusted odds ratio 4.67 (95% CI: 1.12, 19.39)] was significantly associated with mortality. CONCLUSIONS High AVDSF was independently associated with increased mortality and decreased VFD and IFD. AVDSF may be complementary to oxygenation indices in risk stratifying PARDS and warrant further study.
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Affiliation(s)
- Sheow Boon Oh
- Lee Kong Chian School of Medicine, Singapore, Singapore
| | - Apollo Aguilan
- Children's Intensive Care Unit, Department of Pediatric Subspecialties, KK Women's and Children's Hospital, Singapore, Singapore
| | - Herng Lee Tan
- Children's Intensive Care Unit, Department of Pediatric Subspecialties, KK Women's and Children's Hospital, Singapore, Singapore
| | - Yi-Jyun Ma
- Children's Intensive Care Unit, Department of Pediatric Subspecialties, KK Women's and Children's Hospital, Singapore, Singapore
| | - Rehena Sultana
- Center for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore
| | - Jan Hau Lee
- Children's Intensive Care Unit, Department of Pediatric Subspecialties, KK Women's and Children's Hospital, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore
| | - Judith Ju Ming Wong
- Lee Kong Chian School of Medicine, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore
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Chotalia M, Ali M, Alderman JE, Kalla M, Parekh D, Bangash MN, Patel JM. Right Ventricular Dysfunction and Its Association With Mortality in Coronavirus Disease 2019 Acute Respiratory Distress Syndrome. Crit Care Med 2021; 49:1757-1768. [PMID: 34224453 PMCID: PMC8439642 DOI: 10.1097/ccm.0000000000005167] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To assess whether right ventricular dilation or systolic impairment is associated with mortality and/or disease severity in invasively ventilated patients with coronavirus disease 2019 acute respiratory distress syndrome. DESIGN Retrospective cohort study. SETTING Single-center U.K. ICU. PATIENTS Patients with coronavirus disease 2019 acute respiratory distress syndrome undergoing invasive mechanical ventilation that received a transthoracic echocardiogram between March and December 2020. INTERVENTION None. MEASUREMENTS AND MAIN RESULTS Right ventricular dilation was defined as right ventricular:left ventricular end-diastolic area greater than 0.6, right ventricular systolic impairment as fractional area change less than 35%, or tricuspid annular plane systolic excursion less than 17 mm. One hundred seventy-two patients were included, 59 years old (interquartile range, 49-67), with mostly moderate acute respiratory distress syndrome (n = 101; 59%). Ninety-day mortality was 41% (n = 70): 49% in patients with right ventricular dilation, 53% in right ventricular systolic impairment, and 72% in right ventricular dilation with systolic impairment. The right ventricular dilation with systolic impairment phenotype was independently associated with mortality (odds ratio, 3.11 [95% CI, 1.15-7.60]), but either disease state alone was not. Right ventricular fractional area change correlated with Pao2:Fio2 ratio, Paco2, chest radiograph opacification, and dynamic compliance, whereas right ventricular:left ventricle end-diastolic area correlated negatively with urine output. CONCLUSIONS Right ventricular systolic impairment correlated with pulmonary pathophysiology, whereas right ventricular dilation correlated with renal dysfunction. Right ventricular dilation with systolic impairment was the only right ventricular phenotype that was independently associated with mortality.
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Affiliation(s)
- Minesh Chotalia
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Muzzammil Ali
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Joseph E Alderman
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Manish Kalla
- Department of Cardiology, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Dhruv Parekh
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Mansoor N Bangash
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Jaimin M Patel
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
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18
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Bertelli M, Fusina F, Prezioso C, Cavallo E, Nencini N, Crisci S, Tansini F, Mari LM, Hoxha L, Lombardi F, Natalini G. COVID-19 ARDS Is Characterized by Increased Dead Space Ventilation Compared With Non-COVID ARDS. Respir Care 2021; 66:1406-1415. [PMID: 34035148 PMCID: PMC9993874 DOI: 10.4187/respcare.08786] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND ARDS in patients with coronavirus disease 2019 (COVID-19) is characterized by microcirculatory alterations in the pulmonary vascular bed, which could increase dead-space ventilation more than in non-COVID-19 ARDS. We aimed to establish if dead-space ventilation is different in patients with COVID-19 ARDS when compared with patients with non-COVID-19 ARDS. METHODS A total of 187 subjects with COVID-19 ARDS and 178 subjects with non-COVID-19 ARDS who were undergoing invasive mechanical ventilation were included in the study. The association between the ARDS types and dead-space ventilation, compliance of the respiratory system, subjects' characteristics, organ failures, and mechanical ventilation was evaluated by using data collected in the first 24 h of mechanical ventilation. RESULTS Corrected minute ventilation (V˙E), a dead-space ventilation surrogate, was higher in the subjects with COVID-19 ARDS versus in those with non-COVID-19 ARDS (median [interquartile range] 12.6 [10.2-15.8] L/min vs 9.4 [7.5-11.6] L/min; P < .001). Increased corrected V˙E was independently associated with COVID-19 ARDS (odds ratio 1.24, 95% CI 1.07-1.47; P = .007). The best compliance of the respiratory system, obtained after testing different PEEPs, was similar between the subjects with COVID-19 ARDS and the subjects with non-COVID-19 ARDS (mean ± SD 38 ± 11 mL/cm H2O vs 37 ± 11 mL/cm H2O, respectively; P = .61). The subjects with COVID-19 ARDS received higher median (interquartile range) PEEP (12 [10-14] cm H2O vs 8 [5-9] cm H2O; P < .001) and lower median (interquartile range) tidal volume (5.8 [5.5-6.3] mL/kg vs 6.6 [6.1-7.3] mL/kg; P < .001) than the subjects with non-COVID-19 ARDS, being these differences maintained at multivariable analysis. In the multivariable analysis, the subjects with COVID-19 ARDS showed a lower risk of anamnestic arterial hypertension (odds ratio 0.18, 95% CI 0.07-0.45; P < .001) and lower neurologic sequential organ failure assessment score (odds ratio 0.16, 95% CI 0.09-0.27; P < .001) than the subjects with non-COVID-19 ARDS. CONCLUSIONS Indirect measurements of dead space were higher in subjects with COVID-19 ARDS compared with subjects with non-COVID-19 ARDS. The best compliance of the respiratory system was similar in both ARDS forms provided that different PEEPs were applied. A wide range of compliance is present in every ARDS type; therefore, the setting of mechanical ventilation should be individualized patient by patient and not based on the etiology of ARDS.
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Affiliation(s)
- Michele Bertelli
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
| | - Federica Fusina
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy.
| | - Chiara Prezioso
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
- Department of Anesthesiology and Intensive Care Medicine, Catholic University of The Sacred Heart, Rome, Italy
| | - Erika Cavallo
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
- Department of Anesthesiology and Intensive Care Medicine, Catholic University of The Sacred Heart, Rome, Italy
| | - Niccolò Nencini
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
- Department of Anesthesiology and Intensive Care Medicine, Catholic University of The Sacred Heart, Rome, Italy
| | - Serena Crisci
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
- Department of Anesthesiology and Intensive Care Medicine, Catholic University of The Sacred Heart, Rome, Italy
| | - Francesca Tansini
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
- Department of Anesthesia and Intensive Care, University of Insubria, Varese, Lombardia, Italy
| | - Letizia Mazzuca Mari
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
- Department of Anesthesiology and Intensive Care Medicine, Catholic University of The Sacred Heart, Rome, Italy
| | - Laureta Hoxha
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
| | - Fabiana Lombardi
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
| | - Giuseppe Natalini
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
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19
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Respiratory Physiology of Prone Positioning With and Without Inhaled Nitric Oxide Across the Coronavirus Disease 2019 Acute Respiratory Distress Syndrome Severity Spectrum. Crit Care Explor 2021; 3:e0471. [PMID: 34151287 PMCID: PMC8208401 DOI: 10.1097/cce.0000000000000471] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Supplemental Digital Content is available in the text. IMPORTANCE: Prone positioning improves clinical outcomes in moderate-to-severe acute respiratory distress syndrome and has been widely adopted for the treatment of patients with acute respiratory distress syndrome due to coronavirus disease 2019. Little is known about the effects of prone positioning among patients with less severe acute respiratory distress syndrome, obesity, or those treated with pulmonary vasodilators. OBJECTIVES: We characterize the change in oxygenation, respiratory system compliance, and dead-space-to-tidal-volume ratio in response to prone positioning in patients with coronavirus disease 2019 acute respiratory distress syndrome with a range of severities. A subset analysis of patients treated with inhaled nitric oxide and subsequent prone positioning explored the influence of pulmonary vasodilation on the physiology of prone positioning. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study of all consecutively admitted adult patients with acute respiratory distress syndrome due to coronavirus disease 2019 treated with mechanical ventilation and prone positioning in the ICUs of an academic hospital between March 11, 2020, and May 1, 2020. MAIN OUTCOMES AND MEASURES: Respiratory system mechanics and gas exchange during the first episode of prone positioning. RESULTS: Among 122 patients, median (interquartile range) age was 60 years (51–71 yr), median body mass index was 31.5 kg/m2 (27–35 kg/m2), and 50 patients (41%) were female. The ratio of Pao2 to Fio2 improved with prone positioning in 90% of patients. Prone positioning was associated with a significant increase in the ratio of Pao2 to Fio2 (from median 149 [123–170] to 226 [169–268], p < 0.001) but no change in dead-space-to-tidal-volume ratio or respiratory system compliance. Supine ratio of Pao2 to Fio2, respiratory system compliance, positive end-expiratory pressure, and body mass index did not correlate with absolute change in the ratio of Pao2 to Fio2 with prone positioning. However, patients with ratio of Pao2 to Fio2 less than 150 experienced a greater relative improvement in oxygenation with prone positioning than patients with ratio of Pao2 to Fio2 greater than or equal to 150 (median percent change in ratio of Pao2 to Fio2 62 [29–107] vs 30 [10–70], p = 0.002). Among 12 patients, inhaled nitric oxide prior to prone positioning was associated with a significant increase in the ratio of Pao2 to Fio2 (from median 136 [77–168] to 170 [138–213], p = 0.003) and decrease in dead-space-to-tidal-volume ratio (0.54 [0.49–0.58] to 0.46 [0.44–0.53], p = 0.001). Subsequent prone positioning in this subgroup further improved the ratio of Pao2 to Fio2 (from 145 [122–183] to 205 [150–232], p = 0.017) but did not change dead-space-to-tidal-volume ratio. CONCLUSIONS AND RELEVANCE: Prone positioning improves oxygenation across the acute respiratory distress syndrome severity spectrum, irrespective of supine respiratory system compliance, positive end-expiratory pressure, or body mass index. There was a greater relative benefit among patients with more severe disease. Prone positioning confers an additive benefit in oxygenation among patients treated with inhaled nitric oxide.
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20
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Morales-Quinteros L, Neto AS, Artigas A, Blanch L, Botta M, Kaufman DA, Schultz MJ, Tsonas AM, Paulus F, Bos LD. Dead space estimates may not be independently associated with 28-day mortality in COVID-19 ARDS. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2021; 25:171. [PMID: 34001222 PMCID: PMC8127435 DOI: 10.1186/s13054-021-03570-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 04/08/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Estimates for dead space ventilation have been shown to be independently associated with an increased risk of mortality in the acute respiratory distress syndrome and small case series of COVID-19-related ARDS. METHODS Secondary analysis from the PRoVENT-COVID study. The PRoVENT-COVID is a national, multicenter, retrospective observational study done at 22 intensive care units in the Netherlands. Consecutive patients aged at least 18 years were eligible for participation if they had received invasive ventilation for COVID-19 at a participating ICU during the first month of the national outbreak in the Netherlands. The aim was to quantify the dynamics and determine the prognostic value of surrogate markers of wasted ventilation in patients with COVID-19-related ARDS. RESULTS A total of 927 consecutive patients admitted with COVID-19-related ARDS were included in this study. Estimations of wasted ventilation such as the estimated dead space fraction (by Harris-Benedict and direct method) and ventilatory ratio were significantly higher in non-survivors than survivors at baseline and during the following days of mechanical ventilation (p < 0.001). The end-tidal-to-arterial PCO2 ratio was lower in non-survivors than in survivors (p < 0.001). As ARDS severity increased, mortality increased with successive tertiles of dead space fraction by Harris-Benedict and by direct estimation, and with an increase in the VR. The same trend was observed with decreased levels in the tertiles for the end-tidal-to-arterial PCO2 ratio. After adjustment for a base risk model that included chronic comorbidities and ventilation- and oxygenation-parameters, none of the dead space estimates measured at the start of ventilation or the following days were significantly associated with 28-day mortality. CONCLUSIONS There is significant impairment of ventilation in the early course of COVID-19-related ARDS but quantification of this impairment does not add prognostic information when added to a baseline risk model. TRIAL REGISTRATION ISRCTN04346342. Registered 15 April 2020. Retrospectively registered.
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Affiliation(s)
- Luis Morales-Quinteros
- Intensive Care Unit, Hospital Universitari General de Catalunya, Grupo Quironsalud, Carrer Pedro i Pons, 1, 08195, Sant Cugat del Vallès, Barcelona, Spain. .,Universidad Autonoma de Barcelona, Barcelona, Spain. .,Institut D'Investigació, Innovació Parc Taulí I3PT, Sabadell, Spain.
| | - Ary Serpa Neto
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anaesthesiology (L·E·I·C·A), Amsterdam UMC Location AMC, Amsterdam, The Netherlands.,Department of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Brazil.,Australian and New Zealand Intensive Care Research Centre (ANZIC-RC), Monash University, Melbourne, Australia.,Data Analytics Research and Evaluation (DARE) Centre, Austin Hospital and University of Melbourne, Melbourne, Australia
| | - Antonio Artigas
- Universidad Autonoma de Barcelona, Barcelona, Spain.,Institut D'Investigació, Innovació Parc Taulí I3PT, Sabadell, Spain.,Critical Care Center, Corporacion Sanitaria Universitaria Parc Taulí, Sabadell, Spain.,CIBER Enfermedades Respiratorias (ISCiii), Madrid, Spain
| | - Lluis Blanch
- Universidad Autonoma de Barcelona, Barcelona, Spain.,Institut D'Investigació, Innovació Parc Taulí I3PT, Sabadell, Spain.,Critical Care Center, Corporacion Sanitaria Universitaria Parc Taulí, Sabadell, Spain.,CIBER Enfermedades Respiratorias (ISCiii), Madrid, Spain
| | - Michela Botta
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anaesthesiology (L·E·I·C·A), Amsterdam UMC Location AMC, Amsterdam, The Netherlands
| | - David A Kaufman
- Division of Pulmonary, Critical Care, and Sleep Medicine, NYU School of Medicine, New York, NY, USA
| | - Marcus J Schultz
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anaesthesiology (L·E·I·C·A), Amsterdam UMC Location AMC, Amsterdam, The Netherlands.,Nuffield Department of Medicine, Oxford University, Oxford, UK.,Mahidol-Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok, Thailand
| | - Anissa M Tsonas
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anaesthesiology (L·E·I·C·A), Amsterdam UMC Location AMC, Amsterdam, The Netherlands
| | - Frederique Paulus
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anaesthesiology (L·E·I·C·A), Amsterdam UMC Location AMC, Amsterdam, The Netherlands
| | - Lieuwe D Bos
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anaesthesiology (L·E·I·C·A), Amsterdam UMC Location AMC, Amsterdam, The Netherlands
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21
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Timing of Intubation in Coronavirus Disease 2019: A Study of Ventilator Mechanics, Imaging, Findings, and Outcomes. Crit Care Explor 2021; 3:e0415. [PMID: 34079946 PMCID: PMC8162516 DOI: 10.1097/cce.0000000000000415] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Objectives Determine the variation in outcomes and respiratory mechanics between the subjects who are intubated earlier versus later in their coronavirus disease 2019 course. Design Retrospective cohort study. Setting Northwestern Memorial Hospital ICUs. Patients All patients intubated for coronavirus disease 2019 between March 2020 and June 2020. Interventions Patients were stratified by time to intubation: 30 subjects were intubated 4-24 hours after presentation and 24 subjects were intubated 5-10 days after presentation. Baseline characteristics, hospitalization, ventilator mechanics, and outcomes were extracted and analyzed. Ten clinically available CT scans were manually reviewed to identify evidence of pulmonary vascular thrombosis and intussusceptive angiogenesis. Measurements and Main Results Median time from symptom onset to intubation was significantly different between the early and late intubation cohorts, with the latter being intubated later in the course of their illness (7.9 vs 11.8 d; p = 0.04). The early intubation cohort had a lower mortality rate than the late intubation cohort (6% vs 30%, p < 0.001) without significantly different respiratory mechanics at the time of intubation. The late intubation cohort was noted to have higher dead space ratio (0.40 vs 0.52; p = 0.03). On review of CT scans, the late intubation cohort also had more dilated peripheral segments on imaging (two segments vs five segments). Conclusions The question as to whether delaying intubation is beneficial or harmful for patients with coronavirus disease 2019-induced hypoxemic respiratory failure has yet to be answered. As our approaches to coronavirus disease 2019 continue to evolve, the decision of timing of intubation remains paramount. Although noninvasive ventilation may allow for delaying intubation, it is possible that there are downstream effects of delayed intubation that should be considered, including the potential for pulmonary vascular thrombosis and intussusceptive angiogenesis with delayed intubation.
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22
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Dianti J, Slutsky AS, Goligher EC. Validity of Empirical Estimates of the Ratio of Dead Space to Tidal Volume in ARDS. Respir Care 2021; 66:559-565. [PMID: 33082218 PMCID: PMC9993985 DOI: 10.4187/respcare.08246] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND The ratio of dead space to tidal volume (VD/VT) is a clinically relevant parameter in ARDS; it has been shown to predict mortality, and it determines the extent to which extracorporeal CO2 removal reduces tidal volume (VT) and driving pressure (ΔP). VD/VT can be estimated with volumetric capnography, but empirical formulas using demographic and physiological information have been proposed to estimate VD/VT without the need of additional equipment. It is unknown whether estimated and measured VD/VT produce similar estimates of the predicted effect of extracorporeal CO2 removal on ΔP. METHODS We performed a secondary analysis of data from a previous clinical trial including subjects with ARDS in whom VD/VT and CO2 production ([Formula: see text]) were measured with volumetric capnography. The estimated ratio of dead space to tidal volume (VD,est/VT) was calculated using standard empiric formulas. Agreement between measured and estimated values was evaluated with Bland-Altman analysis. Agreement between the predicted change in ΔP with extracorporeal CO2 removal as computed using the measured ratio of alveolar dead space to tidal volume (VDalv/VT) or estimated VDalv/VT (VDalv,est/VT) was also evaluated. RESULTS VD,est/VT was higher than measured VD/VT, and agreement between them was low (bias 0.05, limits of agreement -0.21 to 0.31). Differences between measured and estimated [Formula: see text] accounted for 57% of the error in VD,est/VT. The predicted reduction in ΔP with extracorporeal CO2 removal computed using VDalv,est/VT was in reasonable agreement with the expected reduction using VDalv/VT (bias -0.7 cm H2O, limits of agreement -1.87 to 0.47 cm H2O). In multivariable regression, measured VD/VT was associated with mortality (odds ratio 1.9, 95% CI 1.2-3.1, P = .01), but VD,est/VT was not (odds ratio 1.2, 95% CI 0.8-1.8, P = .3). CONCLUSIONS VD/VT and VD,est/VT showed low levels of agreement and cannot be used interchangeably in clinical practice. Nevertheless, the predicted decrease in ΔP due to extracorporeal CO2 removal was similar when computed from either estimated or measured VDalv/VT.
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Affiliation(s)
- Jose Dianti
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada
| | - Arthur S Slutsky
- Department of Medicine, Division of Respirology, University Health Network, Toronto, Canada
- Keenan Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | - Ewan C Goligher
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada.
- Department of Medicine, Division of Respirology, University Health Network, Toronto, Canada
- Toronto General Hospital Research Institute, Toronto, Canada
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23
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Kallet RH. Measured Versus Estimated Dead-Space Ventilation in ARDS: Does It Matter? Perhaps. Respir Care 2021; 66:703-704. [PMID: 33782141 PMCID: PMC9993990 DOI: 10.4187/respcare.08947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Richard H Kallet
- Department of Anesthesia and Perioperative Care, Respiratory Care DivisionUniversity of California, San Francisco at San Francisco General HospitalSan Francisco, California
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24
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Fusina F, Albani F, Bertelli M, Cavallo E, Crisci S, Caserta R, Nguyen M, Grazioli M, Schivalocchi V, Rosano A, Natalini G. Corrected Minute Ventilation Is Associated With Mortality in ARDS Caused by COVID-19. Respir Care 2021; 66:619-625. [PMID: 33293365 PMCID: PMC9993986 DOI: 10.4187/respcare.08314] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND The ratio of dead space to tidal volume (VD/VT) is associated with mortality in patients with ARDS. Corrected minute ventilation ([Formula: see text]) is a simple surrogate of dead space, but, despite its increasing use, its association with mortality has not been proven. The aim of our study was to assess the association between [Formula: see text] and hospital mortality. We also compared the strength of this association with that of estimated VD/VT and ventilatory ratio. METHODS We performed a retrospective study with prospectively collected data. We evaluated 187 consecutive mechanically ventilated subjects with ARDS caused by novel coronavirus disease (COVID-19). The association between [Formula: see text] and hospital mortality was assessed in multivariable logistic models. The same was done for estimated VD/VT and ventilatory ratio. RESULTS Mean ± SD [Formula: see text] was 11.8 ± 3.3 L/min in survivors and 14.5 ± 3.9 L/min in nonsurvivors (P < .001) and was independently associated with mortality (adjusted odds ratio 1.15, P = .01). The strength of association of [Formula: see text] with mortality was similar to that of VD/VT and ventilatory ratio. CONCLUSIONS [Formula: see text] was independently associated with hospital mortality in subjects with ARDS caused by COVID-19. [Formula: see text] could be used at the patient's bedside for outcome prediction and severity stratification, due to the simplicity of its calculation. These findings need to be confirmed in subjects with ARDS without viral pneumonia and when lung-protective mechanical ventilation is not rigorously applied.
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Affiliation(s)
- Federica Fusina
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy.
| | - Filippo Albani
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
| | - Michele Bertelli
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
| | - Erika Cavallo
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
- Department of Anesthesiology and Intensive Care Medicine, Catholic University of The Sacred Heart, Rome, Italy
| | - Serena Crisci
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
- Department of Anesthesiology and Intensive Care Medicine, Catholic University of The Sacred Heart, Rome, Italy
| | - Rosalba Caserta
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
| | - Maia Nguyen
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
| | - Michele Grazioli
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
| | - Valeria Schivalocchi
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
| | - Antonio Rosano
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
| | - Giuseppe Natalini
- Department of Anesthesia and Intensive Care, Fondazione Poliambulanza Hospital, Brescia, Italy
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25
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Chuang ML, Hsieh BYT, Lin IF. Resting Dead Space Fraction as Related to Clinical Characteristics, Lung Function, and Gas Exchange in Male Patients with Chronic Obstructive Pulmonary Disease. Int J Gen Med 2021; 14:169-177. [PMID: 33568934 PMCID: PMC7868954 DOI: 10.2147/ijgm.s291555] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 12/30/2020] [Indexed: 12/16/2022] Open
Abstract
Background Measures of forced expired volume in one second % predicted (FEV1%), residual volume to total lung capacity ratio (RV/TLC) and diffusing capacity for carbon monoxide measurements (DLCO) are the standard lung function test for evaluating patients with chronic obstructive pulmonary disease (COPD). The dead space fraction (VD/VT) has been shown to be a robust marker of gas exchange abnormality. However, the use of VD/VT has gradually become less common. As VD/VT measured at rest (VD/VTR) has been successfully used in non-COPD conditions, it was hypothesized that in COPD the VD/VTR was more sensitive than the standard lung function test in correlation with clinical characteristics and gas exchange. This study aimed to test the hypothesis and to identify the variables relevant to VD/VTR. Methods A total of 46 male subjects with COPD were enrolled. Clinical characteristics included demographic data, oxygen-cost diagram (OCD), and image studies for pulmonary hypertension. The standard lung function was obtained. To calculate VD/VT, invasive arterial blood gas and pulmonary gas exchange (PGX) were measured. The variables relevant to VD/VTR were analyzed by multiple linear regression. Results Compared to lung function, VD/VTR was more frequently and significantly related to smoking, carboxyhemoglobin level, pulmonary hypertension and PaCO2 (all p <0.05) whereas FEV1% was more related to lung function test, PaO2 and OCD score. VD/VTR and FEV1% were highly related to resting gas exchange but RV/TLC and DLCO% were not. Cigarette consumption, the equivalent for CO2 output, arterial oxyhemoglobin saturation, and the product of tidal volume and inspiratory duty cycle were identified as the parameters relevant to VD/VTR with a power of 0.72. Conclusion Compared to lung function test, VD/VTR is more related to clinical characteristics and is a comprehensive marker of resting gas exchange. Further studies are warranted to provide a noninvasive measurement of VD/VTR. Registration Number MOST 106-2314-B-040-025 and CSH-2019-C-30.
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Affiliation(s)
- Ming-Lung Chuang
- Division of Pulmonary Medicine and Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan, 40201, Republic of China.,School of Medicine, Chung Shan Medical University, Taichung, Taiwan, 40201, Republic of China
| | | | - I-Feng Lin
- Institute of Public Health, National Yang Ming University, Taipei, Taiwan, 11221, Republic of China
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26
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Kallet RH, Lipnick MS. End-Tidal-to-Arterial P CO2 Ratio as Signifier for Physiologic Dead-Space Ratio and Oxygenation Dysfunction in Acute Respiratory Distress Syndrome. Respir Care 2021; 66:263-268. [PMID: 32636278 PMCID: PMC9994218 DOI: 10.4187/respcare.08061] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND The ratio of end-tidal CO2 pressure to arterial partial pressure of CO2 ([Formula: see text]) was recently suggested for monitoring pulmonary gas exchange in patients with ARDS associated with COVID-19, yet no evidence was offered supporting that claim. Therefore, we evaluated whether [Formula: see text] might be relevant in assessing ARDS not associated with COVID-19. METHODS We evaluated the correspondence between [Formula: see text] and the ratio of dead space to tidal volume (VD/VT) measured in 561 subjects with ARDS from a previous study in whom [Formula: see text] data were also available. Subjects also were analyzed according to 4 ranges of [Formula: see text] representing increasing illness severity (≥ 0.80, 0.6-0.79, 0.50-0.59, and < 0.50). Correlation was assessed by either Pearson or Spearman tests, grouped comparisons were assessed using either ANOVA or Kruskal-Wallis tests and dichotomous variables assessed by Fisher Exact tests. Normally distributed data are presented as mean and standard deviation(SD) and non-normal data are presented as median and inter-quartile range (IQR). Overall mortality risk was assessed with multivariate logistic regression. Alpha was set at 0.05. RESULTS [Formula: see text] correlated strongly with VD/VT (r = -0.87 [95% CI -0.89 to -0.85], P < .001). Decreasing [Formula: see text] was associated with increased VD/VT and hospital mortality between all groups. In the univariate analysis, for every 0.01 decrease in [Formula: see text], mortality risk increased by ∼1% (odds ratio 0.009, 95% CI 0.003-0.029, P < .001) and maintained a strong independent association with mortality risk when adjusted for other variables (odds ratio 0.19, 95% CI 0.04-0.91, P = .039). [Formula: see text] < 0.50 was characterized by very high mean ± SD value for VD/VT (0.82 ± 0.05, P < .001) and high hospital mortality (70%). CONCLUSIONS Using [Formula: see text] as a surrogate for VD/VT may be a useful and practical measurement for both management and ongoing research into the nature of ARDS.
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Affiliation(s)
- Richard H Kallet
- Department of Anesthesia and Perioperative Care, Respiratory Care Division, University of California, San Francisco at San Francisco General Hospital, San Francisco, California.
| | - Michael S Lipnick
- Department of Anesthesia and Perioperative Care, Critical Care Division, University of California, San Francisco at San Francisco General Hospital, San Francisco, California
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27
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Cavayas YA, Noël A, Brunette V, Williamson D, Frenette AJ, Arsenault C, Bellemare P, Lagrenade-Verdant C, LeGuillan S, Levesque E, Lamarche Y, Giasson M, Rico P, Beaulieu Y, Marsolais P, Serri K, Bernard F, Albert M. Early experience with critically ill patients with COVID-19 in Montreal. Can J Anaesth 2021; 68:204-213. [PMID: 32935329 PMCID: PMC7491980 DOI: 10.1007/s12630-020-01816-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 08/21/2020] [Accepted: 08/31/2020] [Indexed: 01/06/2023] Open
Abstract
PURPOSE Montreal has been the epicentre of the coronavirus disease (COVID-19) pandemic in Canada. Given the regional disparities in incidence and mortality in the general population, we aimed to describe local characteristics, treatments, and outcomes of critically ill COVID-19 patients in Montreal. METHODS A single-centre retrospective cohort of consecutive adult patients admitted to the intensive care unit (ICU) of Hôpital du Sacré-Coeur de Montréal with confirmed COVID-19 were included. RESULTS Between 20 March and 13 May 2020, 75 patients were admitted, with a median [interquartile range (IQR)] age of 62 [53-72] yr and high rates of obesity (47%), hypertension (67%), and diabetes (37%). Healthcare-related infections were responsible for 35% of cases. The median [IQR] day 1 sequential organ failure assessment score was 6 [3-7]. Invasive mechanical ventilation (IMV) was used in 57% of patients for a median [IQR] of 11 [5-22] days. Patients receiving IMV were characterized by a moderately decreased median [IQR] partial pressure of oxygen:fraction of inspired oxygen (day 1 PaO2:FiO2 = 177 [138-276]; day 10 = 173 [147-227]) and compliance (day 1 = 48 [38-58] mL/cmH2O; day 10 = 34 [28-42] mL/cmH2O) and very elevated estimated dead space fraction (day 1 = 0.60 [0.53-0.67]; day 10 = 0.72 [0.69-0.79]). Overall hospital mortality was 25%, and 21% in the IMV patients. Mortality was 82% in patients ≥ 80 yr old. CONCLUSIONS Characteristics and outcomes of critically ill patients with COVID-19 in Montreal were similar to those reported in the existing literature. We found an increased physiologic dead space, supporting the hypothesis that pulmonary vascular injury may be central to COVID-19-induced lung damage.
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Affiliation(s)
- Yiorgos Alexandros Cavayas
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada.
- ERESI (Equipe de Recherche En Soins Intensifs), Centre de recherche de l'Hôpital du Sacré-Coeur de Montréal, Montreal, QC, Canada.
| | - Alexandre Noël
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
| | - Veronique Brunette
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
| | - David Williamson
- ERESI (Equipe de Recherche En Soins Intensifs), Centre de recherche de l'Hôpital du Sacré-Coeur de Montréal, Montreal, QC, Canada
- Département de Pharmacie, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Faculté de Pharmacie, Université de Montréal, Montreeal, QC, Canada
| | - Anne Julie Frenette
- Département de Pharmacie, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Faculté de Pharmacie, Université de Montréal, Montreeal, QC, Canada
| | - Christine Arsenault
- Département de Biologie Médicale, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Microbiologie, Université de Montréal, Montreal, QC, Canada
| | - Patrick Bellemare
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
| | - Colin Lagrenade-Verdant
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
| | - Soazig LeGuillan
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
- Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Chirurgie, Université de Montréal, Montreal, QC, Canada
| | - Emilie Levesque
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
| | - Yoan Lamarche
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
| | - Marc Giasson
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
| | - Philippe Rico
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
| | - Yanick Beaulieu
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
| | - Pierre Marsolais
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
| | - Karim Serri
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
- ERESI (Equipe de Recherche En Soins Intensifs), Centre de recherche de l'Hôpital du Sacré-Coeur de Montréal, Montreal, QC, Canada
| | - Francis Bernard
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
- ERESI (Equipe de Recherche En Soins Intensifs), Centre de recherche de l'Hôpital du Sacré-Coeur de Montréal, Montreal, QC, Canada
| | - Martin Albert
- Service de Soins Intensifs, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de l'île de Montréal, Département de Médecine, Université de Montréal, 5400 Gouin Ouest, Montreal, QC, H4J 1C5, Canada
- ERESI (Equipe de Recherche En Soins Intensifs), Centre de recherche de l'Hôpital du Sacré-Coeur de Montréal, Montreal, QC, Canada
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28
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Sayed IA, Hagen S, Rajamanickam V, Anagnostopoulos PV, Eldridge M, Al-Subu A. The Use of Alveolar Dead Space Fraction to Predict Postoperative Outcomes after Pediatric Cardiac Surgery: A Retrospective Study. Pediatr Cardiol 2021; 42:1826-1833. [PMID: 34244822 PMCID: PMC8270240 DOI: 10.1007/s00246-021-02674-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 06/30/2021] [Indexed: 11/09/2022]
Abstract
Patients with congenital heart disease (CHD) that have surgical repair with cardiopulmonary bypass (CPB) reflect a unique population with multiple pulmonary and systemic factors that may contribute to increased alveolar dead space and low cardiac output syndrome. This study aimed to assess and compare changes in the alveolar dead space fraction (AVDSf) in the immediate postoperative period with outcomes in children with CHD who underwent repair on CPB. A single-center retrospective review study of critically ill children with CHD, younger than 18 years of age admitted to the Pediatric Intensive Care Unit (PICU) after undergoing surgical repair on CPB and received invasive mechanical ventilation for at least 24 h. One hundred and two patients were included in the study. Over the first 24 h, mean AVDSf was significantly higher in patients who had longer hospital length of stay (LOS) (> 21 days) p = 0.02, and longer duration of invasive mechanical ventilation (DMV) (> 170 h) p = 0.01. Cross-sectional analyses at 23-24 h revealed that AVDSf > 0.25 predicts mortality and DMV (p = 0.03 and P = 0.02 respectively); however, it did not predict prolonged hospital LOS. For every 0.1 increase in the AVDSf, the odds of mortality, DMV, and hospital LOS increased by 4.9 [95% CI = 1.45-16.60, p = 0.002], 2.06 [95% CI = 1.14-3.71, p = 0.01], and 1.43[95% CI = 0.84-2.45, p = 0.184], respectively. The area under the ROC curve at 23-24 h for AVDSf was 0.868 to predict mortality as an outcome. AVDSf > 0.25 at 23-24 h postoperatively was an independent predictor of mortality with sensitivity and specificity of 83% and 80%, respectively and was superior to other commonly used surrogates of cardiac output. In the immediate postoperative period of pediatric patients with CHD, high AVDSf is associated with longer hospital length of stay and duration of invasive mechanical ventilation. Increased AVDSf values at 23-24 h postoperatively is associated with mortality in patients with CHD exposed to CPB.
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Affiliation(s)
- Imran A. Sayed
- grid.413957.d0000 0001 0690 7621Department of Pediatrics, University of Colorado Anschutz Medical Campus, Children’s Hospital of Colorado, Colorado Springs, CO USA
| | - Scott Hagen
- grid.28803.310000 0001 0701 8607Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Wisconsin, 600 Highland Ave, Room H6/535 CSC, Madison, WI 53792 USA
| | - Victoria Rajamanickam
- grid.28803.310000 0001 0701 8607Division of Biostatistics, Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI USA
| | - Petros V. Anagnostopoulos
- grid.28803.310000 0001 0701 8607Division of Pediatric Cardiothoracic Surgery, Department of Surgery, University of Wisconsin, Madison, WI USA
| | - Marlowe Eldridge
- grid.28803.310000 0001 0701 8607Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Wisconsin, 600 Highland Ave, Room H6/535 CSC, Madison, WI 53792 USA
| | - Awni Al-Subu
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Wisconsin, 600 Highland Ave, Room H6/535 CSC, Madison, WI, 53792, USA.
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29
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Matthay MA, Arabi YM, Siegel ER, Ware LB, Bos LDJ, Sinha P, Beitler JR, Wick KD, Curley MAQ, Constantin JM, Levitt JE, Calfee CS. Phenotypes and personalized medicine in the acute respiratory distress syndrome. Intensive Care Med 2020; 46:2136-2152. [PMID: 33206201 PMCID: PMC7673253 DOI: 10.1007/s00134-020-06296-9] [Citation(s) in RCA: 117] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 10/13/2020] [Indexed: 12/15/2022]
Abstract
Although the acute respiratory distress syndrome (ARDS) is well defined by the development of acute hypoxemia, bilateral infiltrates and non-cardiogenic pulmonary edema, ARDS is heterogeneous in terms of clinical risk factors, physiology of lung injury, microbiology, and biology, potentially explaining why pharmacologic therapies have been mostly unsuccessful in treating ARDS. Identifying phenotypes of ARDS and integrating this information into patient selection for clinical trials may increase the chance for efficacy with new treatments. In this review, we focus on classifying ARDS by the associated clinical disorders, physiological data, and radiographic imaging. We consider biologic phenotypes, including plasma protein biomarkers, gene expression, and common causative microbiologic pathogens. We will also discuss the issue of focusing clinical trials on the patient's phase of lung injury, including prevention, administration of therapy during early acute lung injury, and treatment of established ARDS. A more in depth understanding of the interplay of these variables in ARDS should provide more success in designing and conducting clinical trials and achieving the goal of personalized medicine.
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Affiliation(s)
- Michael A Matthay
- Department of Anesthesia, University of California San Francisco, San Francisco, CA, USA.
- Cardiovascular Research Institute, University of California, San Francisco, USA.
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California, San Francisco, USA.
| | - Yaseen M Arabi
- King Saud Bin Abdulaziz University for Health Sciences and King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Emily R Siegel
- Cardiovascular Research Institute, University of California, San Francisco, USA
| | - Lorraine B Ware
- Division of Allergy, Pulmonary and Critical Care, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lieuwe D J Bos
- Department of Respiratory Medicine, Amsterdam University Medical Centers, Location AMC, University of Amsterdam, Infection and Immunity, Amsterdam, The Netherlands
| | - Pratik Sinha
- Department of Anesthesiology, Washington University, Saint Louis, MO, USA
| | - Jeremy R Beitler
- Division of Pulmonary, Allergy, and Critical Care Medicine, Center for Acute Respiratory Failure, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Katherine D Wick
- Cardiovascular Research Institute, University of California, San Francisco, USA
| | - Martha A Q Curley
- School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - Jean-Michel Constantin
- Department of Anesthesia and Critical Care, La Pitié Salpetriere Hospital, University Paris-Sorbonne, Paris, France
| | - Joseph E Levitt
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Carolyn S Calfee
- Department of Anesthesia, University of California San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California, San Francisco, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California, San Francisco, USA
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30
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Narayan A, Garg P, Arora U, Ray A, Wig N. Pathophysiology of COVID-19-associated acute respiratory distress syndrome. THE LANCET RESPIRATORY MEDICINE 2020; 9:e3. [PMID: 33197386 PMCID: PMC7831561 DOI: 10.1016/s2213-2600(20)30509-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 10/19/2020] [Indexed: 12/27/2022]
Affiliation(s)
- Ananthu Narayan
- Department of Medicine, All India Institute of Medical Sciences, Delhi 110029, India
| | - Prerna Garg
- Department of Medicine, All India Institute of Medical Sciences, Delhi 110029, India
| | - Umang Arora
- Department of Medicine, All India Institute of Medical Sciences, Delhi 110029, India
| | - Animesh Ray
- Department of Medicine, All India Institute of Medical Sciences, Delhi 110029, India.
| | - Naveet Wig
- Department of Medicine, All India Institute of Medical Sciences, Delhi 110029, India
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31
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Chivukula RR, Maley JH, Dudzinski DM, Hibbert K, Hardin CC. Evidence-Based Management of the Critically Ill Adult With SARS-CoV-2 Infection. J Intensive Care Med 2020; 36:18-41. [PMID: 33111601 DOI: 10.1177/0885066620969132] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Human infection by the novel viral pathogen SARS-CoV-2 results in a clinical syndrome termed Coronavirus Disease 2019 (COVID-19). Although the majority of COVID-19 cases are self-limiting, a substantial minority of patients develop disease severe enough to require intensive care. Features of critical illness associated with COVID-19 include hypoxemic respiratory failure, acute respiratory distress syndrome (ARDS), shock, and multiple organ dysfunction syndrome (MODS). In most (but not all) respects critically ill patients with COVID-19 resemble critically ill patients with ARDS due to other causes and are optimally managed with standard, evidence-based critical care protocols. However, there is naturally an intense interest in developing specific therapies for severe COVID-19. Here we synthesize the rapidly expanding literature around the pathophysiology, clinical presentation, and management of COVID-19 with a focus on those points most relevant for intensivists tasked with caring for these patients. We specifically highlight evidence-based approaches that we believe should guide the identification, triage, respiratory support, and general ICU care of critically ill patients infected with SARS-CoV-2. In addition, in light of the pressing need and growing enthusiasm for targeted COVID-19 therapies, we review the biological basis, plausibility, and clinical evidence underlying these novel treatment approaches.
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Affiliation(s)
- Raghu R Chivukula
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, 2348Massachusetts General Hospital, Boston, MA, USA.,Whitehead Institute for Biomedical Research, Cambridge, MA, USA
| | - Jason H Maley
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, 2348Massachusetts General Hospital, Boston, MA, USA
| | - David M Dudzinski
- Corrigan Minehan Heart Center, Division of Cardiology, Department of Medicine, 2348Massachusetts General Hospital, Boston, MA, USA.,Cardiac Intensive Care Unit, Division of Cardiology, Department of Medicine, Massachusetts General, Hospital, Boston, MA, USA
| | - Kathryn Hibbert
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, 2348Massachusetts General Hospital, Boston, MA, USA
| | - C Corey Hardin
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, 2348Massachusetts General Hospital, Boston, MA, USA
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32
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Vasques F, Sanderson B, Formenti F, Shankar-Hari M, Camporota L. Physiological dead space ventilation, disease severity and outcome in ventilated patients with hypoxaemic respiratory failure due to coronavirus disease 2019. Intensive Care Med 2020; 46:2092-2093. [PMID: 32737523 PMCID: PMC7393807 DOI: 10.1007/s00134-020-06197-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/21/2020] [Indexed: 12/02/2022]
Affiliation(s)
- Francesco Vasques
- Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, King's Health Partners, St Thomas' Hospital, 1st Floor East Wing, Westminster Bridge Road, London, SE1 7EH, UK
| | - Barnaby Sanderson
- Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, King's Health Partners, St Thomas' Hospital, 1st Floor East Wing, Westminster Bridge Road, London, SE1 7EH, UK
| | - Federico Formenti
- Centre of Human Applied Physiological Sciences, King's College London, London, UK.,Nuffield Department of Clinical Neurosciences, Nuffield Division of Anaesthetics, University of Oxford, Oxford, UK
| | - Manu Shankar-Hari
- Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, King's Health Partners, St Thomas' Hospital, 1st Floor East Wing, Westminster Bridge Road, London, SE1 7EH, UK.,School of Immunology and Microbial Sciences, Kings College London, London, SE1 9RT, UK
| | - Luigi Camporota
- Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, King's Health Partners, St Thomas' Hospital, 1st Floor East Wing, Westminster Bridge Road, London, SE1 7EH, UK. .,Centre of Human Applied Physiological Sciences, King's College London, London, UK.
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33
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Diehl JL, Peron N, Chocron R, Debuc B, Guerot E, Hauw-Berlemont C, Hermann B, Augy JL, Younan R, Novara A, Langlais J, Khider L, Gendron N, Goudot G, Fagon JF, Mirault T, Smadja DM. Respiratory mechanics and gas exchanges in the early course of COVID-19 ARDS: a hypothesis-generating study. Ann Intensive Care 2020; 10:95. [PMID: 32676824 PMCID: PMC7364286 DOI: 10.1186/s13613-020-00716-1] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 07/08/2020] [Indexed: 12/11/2022] Open
Abstract
Rationale COVID-19 ARDS could differ from typical forms of the syndrome. Objective Pulmonary microvascular injury and thrombosis are increasingly reported as constitutive features of COVID-19 respiratory failure. Our aim was to study pulmonary mechanics and gas exchanges in COVID-2019 ARDS patients studied early after initiating protective invasive mechanical ventilation, seeking after corresponding pathophysiological and biological characteristics. Methods Between March 22 and March 30, 2020 respiratory mechanics, gas exchanges, circulating endothelial cells (CEC) as markers of endothelial damage, and D-dimers were studied in 22 moderate-to-severe COVID-19 ARDS patients, 1 [1–4] day after intubation (median [IQR]). Measurements and main results Thirteen moderate and 9 severe COVID-19 ARDS patients were studied after initiation of high PEEP protective mechanical ventilation. We observed moderately decreased respiratory system compliance: 39.5 [33.1–44.7] mL/cmH2O and end-expiratory lung volume: 2100 [1721–2434] mL. Gas exchanges were characterized by hypercapnia 55 [44–62] mmHg, high physiological dead-space (VD/VT): 75 [69–85.5] % and ventilatory ratio (VR): 2.9 [2.2–3.4]. VD/VT and VR were significantly correlated: r2 = 0.24, p = 0.014. No pulmonary embolism was suspected at the time of measurements. CECs and D-dimers were elevated as compared to normal values: 24 [12–46] cells per mL and 1483 [999–2217] ng/mL, respectively. Conclusions We observed early in the course of COVID-19 ARDS high VD/VT in association with biological markers of endothelial damage and thrombosis. High VD/VT can be explained by high PEEP settings and added instrumental dead space, with a possible associated role of COVID-19-triggered pulmonary microvascular endothelial damage and microthrombotic process.
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Affiliation(s)
- J-L Diehl
- Université de Paris, Innovative Therapies in Haemostasis, INSERM, 75006, Paris, France. .,Intensive Care Unit and Biosurgical Research Lab (Carpentier Foundation), AH-HP, Georges Pompidou European Hospital, 20 Rue Leblanc, 75015, Paris, France.
| | - N Peron
- Intensive Care Unit, AH-HP, Georges Pompidou European Hospital, Université de Paris, 75015, Paris, France
| | - R Chocron
- Université de Paris, PARCC, INSERM, 75015, Paris, France.,Emergency Department, AP-HP, Georges Pompidou European Hospital, 75015, Paris, France
| | - B Debuc
- Plastic Surgery Department, AP-HP, Georges Pompidou European Hospital, Université de Paris, 75015, Paris, France
| | - E Guerot
- Intensive Care Unit, AH-HP, Georges Pompidou European Hospital, Université de Paris, 75015, Paris, France
| | - C Hauw-Berlemont
- Intensive Care Unit, AH-HP, Georges Pompidou European Hospital, Université de Paris, 75015, Paris, France
| | - B Hermann
- Intensive Care Unit, AH-HP, Georges Pompidou European Hospital, Université de Paris, 75015, Paris, France
| | - J L Augy
- Intensive Care Unit, AH-HP, Georges Pompidou European Hospital, Université de Paris, 75015, Paris, France
| | - R Younan
- Intensive Care Unit, AH-HP, Georges Pompidou European Hospital, Université de Paris, 75015, Paris, France
| | - A Novara
- Intensive Care Unit, AH-HP, Georges Pompidou European Hospital, Université de Paris, 75015, Paris, France
| | - J Langlais
- Intensive Care Unit, AH-HP, Georges Pompidou European Hospital, Université de Paris, 75015, Paris, France
| | - L Khider
- Vascular Medicine Department and Biosurgical Research Lab (Carpentier Foundation), AP-HP, Georges Pompidou European Hospital, Université de Paris, 75015, Paris, France
| | - N Gendron
- Université de Paris, Innovative Therapies in Haemostasis, INSERM, 75006, Paris, France.,Hematology Department and Biosurgical Research Lab (Carpentier Foundation), AH-HP, Georges Pompidou European Hospital, 75015, Paris, France
| | - G Goudot
- Emergency Department, AP-HP, Georges Pompidou European Hospital, 75015, Paris, France
| | - J-F Fagon
- Intensive Care Unit, AH-HP, Georges Pompidou European Hospital, Université de Paris, 75015, Paris, France
| | - T Mirault
- Université de Paris, PARCC, INSERM, 75015, Paris, France.,Vascular Medicine Department, AP-HP, Georges Pompidou European Hospital, 75015, Paris, France
| | - D M Smadja
- Université de Paris, Innovative Therapies in Haemostasis, INSERM, 75006, Paris, France.,Hematology Department and Biosurgical Research Lab (Carpentier Foundation), AH-HP, Georges Pompidou European Hospital, 75015, Paris, France
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Ziehr DR, Alladina J, Petri CR, Maley JH, Moskowitz A, Medoff BD, Hibbert KA, Thompson BT, Hardin CC. Respiratory Pathophysiology of Mechanically Ventilated Patients with COVID-19: A Cohort Study. Am J Respir Crit Care Med 2020; 201:1560-1564. [PMID: 32348678 PMCID: PMC7301734 DOI: 10.1164/rccm.202004-1163le] [Citation(s) in RCA: 320] [Impact Index Per Article: 64.0] [Reference Citation Analysis] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Affiliation(s)
- David R Ziehr
- Massachusetts General HospitalBoston, Massachusettsand.,Beth Israel Deaconess Medical CenterBoston, Massachusetts
| | | | - Camille R Petri
- Massachusetts General HospitalBoston, Massachusettsand.,Beth Israel Deaconess Medical CenterBoston, Massachusetts
| | - Jason H Maley
- Massachusetts General HospitalBoston, Massachusettsand.,Beth Israel Deaconess Medical CenterBoston, Massachusetts
| | - Ari Moskowitz
- Beth Israel Deaconess Medical CenterBoston, Massachusetts
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Schmidt M, Pham T, Arcadipane A, Agerstrand C, Ohshimo S, Pellegrino V, Vuylsteke A, Guervilly C, McGuinness S, Pierard S, Breeding J, Stewart C, Ching SSW, Camuso JM, Stephens RS, King B, Herr D, Schultz MJ, Neuville M, Zogheib E, Mira JP, Rozé H, Pierrot M, Tobin A, Hodgson C, Chevret S, Brodie D, Combes A. Mechanical Ventilation Management during Extracorporeal Membrane Oxygenation for Acute Respiratory Distress Syndrome. An International Multicenter Prospective Cohort. Am J Respir Crit Care Med 2020; 200:1002-1012. [PMID: 31144997 DOI: 10.1164/rccm.201806-1094oc] [Citation(s) in RCA: 192] [Impact Index Per Article: 38.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Rationale: Current practices regarding mechanical ventilation in patients treated with extracorporeal membrane oxygenation (ECMO) for acute respiratory distress syndrome are unknown.Objectives: To report current practices regarding mechanical ventilation in patients treated with ECMO for severe acute respiratory distress syndrome (ARDS) and their association with 6-month outcomes.Methods: This was an international, multicenter, prospective cohort study of patients undergoing ECMO for ARDS during a 1-year period in 23 international ICUs.Measurements and Main Results: We collected demographics, daily pre- and per-ECMO mechanical ventilation settings and use of adjunctive therapies, ICU, and 6-month outcome data for 350 patients (mean ± SD pre-ECMO PaO2/FiO2 71 ± 34 mm Hg). Pre-ECMO use of prone positioning and neuromuscular blockers were 26% and 62%, respectively. Vt (6.4 ± 2.0 vs. 3.7 ± 2.0 ml/kg), plateau pressure (32 ± 7 vs. 24 ± 7 cm H2O), driving pressure (20 ± 7 vs. 14 ± 4 cm H2O), respiratory rate (26 ± 8 vs. 14 ± 6 breaths/min), and mechanical power (26.1 ± 12.7 vs. 6.6 ± 4.8 J/min) were markedly reduced after ECMO initiation. Six-month survival was 61%. No association was found between ventilator settings during the first 2 days of ECMO and survival in multivariable analysis. A time-varying Cox model retained older age, higher fluid balance, higher lactate, and more need for renal-replacement therapy along the ECMO course as being independently associated with 6-month mortality. A higher Vt and lower driving pressure (likely markers of static compliance improvement) across the ECMO course were also associated with better outcomes.Conclusions: Ultraprotective lung ventilation on ECMO was largely adopted across medium- to high-case volume ECMO centers. In contrast with previous observations, mechanical ventilation settings during ECMO did not impact patients' prognosis in this context.
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Affiliation(s)
- Matthieu Schmidt
- INSERM UMRS_1166-iCAN, Institute of Cardiometabolism and Nutrition, UPMC Univ Paris 06, Sorbonne Université, Paris, France.,Assistance Publique-Hôpitaux de Paris, Medical Intensive Care Unit, Pitié-Salpêtrière Hospital, Paris, France
| | - Tài Pham
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.,Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Antonio Arcadipane
- Department of Anesthesia and Intensive Care, IRCCS-ISMETT Istituto Mediterraneo per i Trapianti e terapie ad alta specializzazione, Palermo, Italy
| | - Cara Agerstrand
- Department of Medicine, Columbia University College of Physicians and Surgeons/New York-Presbyterian Hospital, New York, New York
| | - Shinichiro Ohshimo
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical & Health Sciences, Hiroshima University, Hiroshima, Japan
| | | | - Alain Vuylsteke
- Department of Anaesthesia and Intensive Care, Royal Papworth Hospital, Cambridge, United Kingdom
| | - Christophe Guervilly
- Center for Studies and Research on Health Services and Quality of Life EA3279, Service de Medecine Intensive et Reanimation, CHU Hopital Nord, Assistance Publique Hôpitaux de Marseille, Aix-Marseille University, Marseille, France
| | - Shay McGuinness
- Cardiothoracic & Vascular ICU, Auckland City Hospital, Auckland, New Zealand
| | - Sophie Pierard
- Pôle de Recherche Cardiovasculaire, Institute de Recherche Expérimentale et Clinique, Cardiothoracic Intensive Care, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Jeff Breeding
- St. Vincent's Hospital, New South Wales, Sydney, Australia
| | - Claire Stewart
- Department of Anaesthetics, Royal Prince Alfred Hospital, Sydney University Medical School, Sydney, New South Wales, Australia
| | - Simon Sin Wai Ching
- Department of Adult Intensive Care, Queen Mary Hospital, the University of Hong Kong, Hong Kong
| | - Janice M Camuso
- Division of Cardiac Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - R Scott Stephens
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Bobby King
- Department of Intensive Care, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong
| | | | | | - Mathilde Neuville
- Bichat Hospital, Medical and Infectious Diseases Intensive Care Unit, Paris Diderot University, AP-HP, Paris, France.,UMR1148, LVTS, Sorbonne Paris Cité, Inserm/Paris Diderot University, Paris, France
| | - Elie Zogheib
- Cardiothoracic and Vascular Intensive Care Unit, Amiens University Hospital, Amiens, France.,INSERM U1088, Jules Verne University of Picardy, Amiens, France
| | - Jean-Paul Mira
- Assistance Publique des Hôpitaux de Paris, Groupe Hospitalier Universitaire de Paris Centre, Médecine Intensive RéanimationHôpital Cochin, Paris, France.,Paris Descartes Sorbonne Paris Cité University, Paris, France.,Department of Infection, Immunity and Inflammation, Cochin Institute, Inserm U1016, Paris, France
| | - Hadrien Rozé
- South Department of Anesthesiology and Critical Care, Bordeaux University Hospital, Pessac, France
| | - Marc Pierrot
- Service de Réanimation Médicale, Centre Hospitalier Universitaire d'Angers, Angers, France
| | - Anthony Tobin
- Department of Critical Care Medicine, St. Vincent's Hospital Melbourne, Fitzroy, Australia
| | - Carol Hodgson
- Intensive Care Unit, Alfred Hospital, Melbourne, Australia.,Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Australia
| | - Sylvie Chevret
- Biostatistics Team, Saint-Louis Hospital, AP-HP, Paris, France; and.,ECSTRA Team, Biostatistics and Clinical Epidemiology, UMR 1153 (CRESS), INSERM, Paris Diderot Sorbonne University, Paris, France
| | - Daniel Brodie
- Department of Medicine, Columbia University College of Physicians and Surgeons/New York-Presbyterian Hospital, New York, New York
| | - Alain Combes
- INSERM UMRS_1166-iCAN, Institute of Cardiometabolism and Nutrition, UPMC Univ Paris 06, Sorbonne Université, Paris, France.,Assistance Publique-Hôpitaux de Paris, Medical Intensive Care Unit, Pitié-Salpêtrière Hospital, Paris, France
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Morales-Quinteros L, Schultz MJ, Bringué J, Calfee CS, Camprubí M, Cremer OL, Horn J, van der Poll T, Sinha P, Artigas A, Bos LD. Estimated dead space fraction and the ventilatory ratio are associated with mortality in early ARDS. Ann Intensive Care 2019; 9:128. [PMID: 31754866 PMCID: PMC6872683 DOI: 10.1186/s13613-019-0601-0] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 11/05/2019] [Indexed: 12/20/2022] Open
Abstract
Background Indirect indices for measuring impaired ventilation, such as the estimated dead space fraction and the ventilatory ratio, have been shown to be independently associated with an increased risk of mortality. This study aimed to compare various methods for dead space estimation and the ventilatory ratio in patients with acute respiratory distress syndrome (ARDS) and to determine their independent values for predicting death at day 30. The present study is a post hoc analysis of a prospective observational cohort study of ICUs of two tertiary care hospitals in the Netherlands. Results Individual patient data from 940 ARDS patients were analyzed. Estimated dead space fraction and the ventilatory ratio at days 1 and 2 were significantly higher among non-survivors (p < 0.01). Dead space fraction calculation using the estimate from physiological variables [VD/VT phys] and the ventilatory ratio at day 2 showed independent association with mortality at 30 days (odds ratio 1.28 [95% CI 1.02–1.61], p < 0.03 and 1.20 [95% CI, 1.01–1.40], p < 0.03, respectively); whereas, the Harris–Benedict [VD/VT HB] and Penn State [VD/VT PS] estimations were not associated with mortality. The predicted validity of the estimated dead space fraction and the ventilatory ratio improved the baseline model based on PEEP, PaO2/FiO2, driving pressure and compliance of the respiratory system at day 2 (AUROCC 0.72 vs. 0.69, p < 0.05). Conclusions Estimated methods for dead space calculation and the ventilatory ratio during the early course of ARDS are associated with mortality at day 30 and add statistically significant but limited improvement in the predictive accuracy to indices of oxygenation and respiratory system mechanics at the second day of mechanical ventilation.
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Affiliation(s)
- Luis Morales-Quinteros
- Intensive Care Unit, Hospital Universitari Sagrat Cor, Grupo Quironsalud, Carrer de Viladomat, 288, 08029, Barcelona, Spain.
| | - Marcus J Schultz
- Department of Intensive Care, Academic Medical Center, Amsterdam, The Netherlands.,Laboratory of Experimental Intensive Care and Anesthesiology, Academic Medical Center, Amsterdam, The Netherlands.,Mahidol Oxford Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Josep Bringué
- Critical Care Center, ParcTaulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain.,CIBER Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Carolyn S Calfee
- Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA.,Department of Anesthesia, University of California, San Francisco, San Francisco, CA, USA.,Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Marta Camprubí
- Critical Care Center, ParcTaulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Olaf L Cremer
- Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Janneke Horn
- Department of Intensive Care, Academic Medical Center, Amsterdam, The Netherlands
| | - Tom van der Poll
- Center of Experimental and Molecular Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Division of Infectious Diseases, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Pratik Sinha
- Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA.,Department of Anesthesia, University of California, San Francisco, San Francisco, CA, USA
| | - Antonio Artigas
- Intensive Care Unit, Hospital Universitari Sagrat Cor, Grupo Quironsalud, Carrer de Viladomat, 288, 08029, Barcelona, Spain.,Critical Care Center, ParcTaulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain.,CIBER Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Lieuwe D Bos
- Department of Intensive Care, Academic Medical Center, Amsterdam, The Netherlands.,Laboratory of Experimental Intensive Care and Anesthesiology, Academic Medical Center, Amsterdam, The Netherlands.,Department of Respiratory Medicine, Academic Medical Center, Amsterdam, The Netherlands
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Sinha P, Calfee CS, Beitler JR, Soni N, Ho K, Matthay MA, Kallet RH. Physiologic Analysis and Clinical Performance of the Ventilatory Ratio in Acute Respiratory Distress Syndrome. Am J Respir Crit Care Med 2019; 199:333-341. [PMID: 30211618 PMCID: PMC6363976 DOI: 10.1164/rccm.201804-0692oc] [Citation(s) in RCA: 200] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 09/10/2018] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Pulmonary dead space fraction (Vd/Vt) is an independent predictor of mortality in acute respiratory distress syndrome (ARDS). Yet, it is seldom used in practice. The ventilatory ratio is a simple bedside index that can be calculated using routinely measured respiratory variables and is a measure of impaired ventilation. Ventilatory ratio is defined as [minute ventilation (ml/min) × PaCO2 (mm Hg)]/(predicted body weight × 100 × 37.5). OBJECTIVES To determine the relation of ventilatory ratio with Vd/Vt in ARDS. METHODS First, in a single-center, prospective observational study of ARDS, we tested the association of Vd/Vt with ventilatory ratio. With in-hospital mortality as the primary outcome and ventilator-free days as the secondary outcome, we tested the role of ventilatory ratio as an outcome predictor. The findings from this study were further verified in secondary analyses of two NHLBI ARDS Network randomized controlled trials. MEASUREMENTS AND MAIN RESULTS Ventilatory ratio positively correlated with Vd/Vt. Ordinal groups of ventilatory ratio had significantly higher Vd/Vt. Ventilatory ratio was independently associated with increased risk of mortality after adjusting for PaO2/FiO2, and positive end-expiratory pressure (odds ratio, 1.51; P = 0.024) and after adjusting for Acute Physiologic Assessment and Chronic Health Evaluation II score (odds ratio, 1.59; P = 0.04). These findings were further replicated in secondary analyses of two separate NHLBI randomized controlled trials. CONCLUSIONS Ventilatory ratio correlates well with Vd/Vt in ARDS, and higher values at baseline are associated with increased risk of adverse outcomes. These results are promising for the use of ventilatory ratio as a simple bedside index of impaired ventilation in ARDS.
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Affiliation(s)
- Pratik Sinha
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine
| | - Carolyn S. Calfee
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine
- Department of Anesthesia, and
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, California
| | - Jeremy R. Beitler
- Division of Pulmonary and Critical Care Medicine, University of California, San Diego, San Diego, California
| | - Neil Soni
- Magill Department of Anaesthesia, Intensive Care Medicine and Pain Management, Chelsea and Westminster Hospital, London, United Kingdom; and
| | - Kelly Ho
- Respiratory Care Services, Department of Anesthesia and Perioperative Care, University of California, San Francisco at Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Michael A. Matthay
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine
- Department of Anesthesia, and
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, California
| | - Richard H. Kallet
- Respiratory Care Services, Department of Anesthesia and Perioperative Care, University of California, San Francisco at Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
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Cigarroa CL, van den Bosch SJ, Tang X, Gauvreau K, Baird CW, DiNardo JA, Kheir JN. Measurement of Dead Space Fraction Upon ICU Admission Predicts Length of Stay and Clinical Outcomes Following Bidirectional Cavopulmonary Anastomosis. Pediatr Crit Care Med 2018; 19:23-31. [PMID: 29189669 DOI: 10.1097/pcc.0000000000001378] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Increased alveolar dead space fraction has been associated with prolonged mechanical ventilation and increased mortality in pediatric patients with respiratory failure. The association of alveolar dead space fraction with clinical outcomes in patients undergoing bidirectional cavopulmonary anastomosis for single ventricle congenital heart disease has not been reported. We describe an association of alveolar dead space fraction with postoperative outcomes in patients undergoing bidirectional cavopulmonary anastomosis. DESIGN In a retrospective case-control study, we examined for associations between alveolar dead space fraction ([PaCO2 - end-tidal CO2]/PaCO2), arterial oxyhemoglobin saturation, and transpulmonary gradient upon postoperative ICU admission with a composite primary outcome (requirement for surgical or catheter-based intervention, death, or transplant prior to hospital discharge, defining cases) and several secondary endpoints in infants following bidirectional cavopulmonary anastomosis. SETTINGS Cardiac ICU in a tertiary care pediatric hospital. PATIENTS Patients undergoing bidirectional cavopulmonary anastomosis at our institution between 2011 and 2016. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Of 191 patients undergoing bidirectional cavopulmonary anastomosis, 28 patients were cases and 163 were controls. Alveolar dead space fraction was significantly higher in the case (0.26 ± 0.09) versus control group (0.17 ± 0.09; p < 0.001); alveolar dead space fraction at admission was less than 0.12 in 0% of cases and was greater than 0.28 in 35% of cases. Admission arterial oxyhemoglobin saturation was significantly lower in the case (77% ± 12%) versus control group (83% ± 9%; p < 0.05). Sensitivity and specificity for future case versus control assignment was best when prebidirectional cavopulmonary anastomosis risk factors, admission alveolar dead space fraction (AUC, 0.74), and arterial oxyhemoglobin saturation (AUC, 0.65) were combined in a summarial model (AUC, 0.83). For a given arterial oxyhemoglobin saturation, the odds of becoming a case increased on average by 181% for every 0.1 unit increase in alveolar dead space fraction. Admission alveolar dead space fraction and arterial oxyhemoglobin saturation were linearly associated with prolonged ICU length of stay, hospital length of stay, duration of mechanical ventilation, and duration of thoracic drainage (p < 0.001 for all). CONCLUSIONS Following bidirectional cavopulmonary anastomosis, alveolar dead space fraction in excess of 0.28 or arterial oxyhemoglobin saturation less than 78% upon ICU admission indicates an increased likelihood of requiring intervention prior to hospital discharge. Increasing alveolar dead space fraction and decreasing arterial oxyhemoglobin saturation are associated with increased lengths of stay.
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Affiliation(s)
- Claire L Cigarroa
- Department of Cardiology, Boston Children's Hospital, Boston, MA
- Department of Pediatrics, Harvard Medical School, Boston, MA
| | | | - Xiaoqi Tang
- Department of Cardiology, Boston Children's Hospital, Boston, MA
| | - Kimberlee Gauvreau
- Department of Cardiology, Boston Children's Hospital, Boston, MA
- Department of Pediatrics, Harvard Medical School, Boston, MA
| | - Christopher W Baird
- Department of Cardiovascular Surgery, Boston Children's Hospital, Boston, MA
- Department of Surgery, Harvard Medical School, Boston, MA
| | - James A DiNardo
- Department of Anesthesia, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA
- Department of Anaesthesia, Harvard Medical School, Boston, MA
| | - John Nagi Kheir
- Department of Cardiology, Boston Children's Hospital, Boston, MA
- Department of Pediatrics, Harvard Medical School, Boston, MA
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Radermacher P, Maggiore SM, Mercat A. FiftyYears ofResearch inARDS.Gas Exchange in Acute Respiratory Distress Syndrome. Am J Respir Crit Care Med 2017; 196:964-984. [DOI: 10.1164/rccm.201610-2156so] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Affiliation(s)
- Peter Radermacher
- Institute of Anaesthesiological Pathophysiology and Process Engineering, University Medical School, Ulm, Germany
| | - Salvatore Maurizio Maggiore
- Section of Anesthesia, Analgesia, Perioperative, and Intensive Care, Department of Medical, Oral, and Biotechnological Sciences, School of Medicine and Health Sciences, “SS. Annunziata” Hospital, “Gabriele d’Annunzio” University of Chieti-Pescara, Chieti, Italy; and
| | - Alain Mercat
- Department of Medical Intensive Care and Hyperbaric Medicine, Angers University Hospital, Angers, France
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40
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Chen L, Chen GQ, Shore K, Shklar O, Martins C, Devenyi B, Lindsay P, McPhail H, Lanys A, Soliman I, Tuma M, Kim M, Porretta K, Greco P, Every H, Hayes C, Baker A, Friedrich JO, Brochard L. Implementing a bedside assessment of respiratory mechanics in patients with acute respiratory distress syndrome. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2017; 21:84. [PMID: 28372575 PMCID: PMC5379641 DOI: 10.1186/s13054-017-1671-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2016] [Accepted: 03/17/2017] [Indexed: 01/06/2023]
Abstract
Background Despite their potential interest for clinical management, measurements of respiratory mechanics in patients with acute respiratory distress syndrome (ARDS) are seldom performed in routine practice. We introduced a systematic assessment of respiratory mechanics in our clinical practice. After the first year of clinical use, we retrospectively assessed whether these measurements had any influence on clinical management and physiological parameters associated with clinical outcomes by comparing their value before and after performing the test. Methods The respiratory mechanics assessment constituted a set of bedside measurements to determine passive lung and chest wall mechanics, response to positive end-expiratory pressure, and alveolar derecruitment. It was obtained early after ARDS diagnosis. The results were provided to the clinical team to be used at their own discretion. We compared ventilator settings and physiological variables before and after the test. The physiological endpoints were oxygenation index, dead space, and plateau and driving pressures. Results Sixty-one consecutive patients with ARDS were enrolled. Esophageal pressure was measured in 53 patients (86.9%). In 41 patients (67.2%), ventilator settings were changed after the measurements, often by reducing positive end-expiratory pressure or by switching pressure-targeted mode to volume-targeted mode. Following changes, the oxygenation index, airway plateau, and driving pressures were significantly improved, whereas the dead-space fraction remained unchanged. The oxygenation index continued to improve in the next 48 h. Conclusions Implementing a systematic respiratory mechanics test leads to frequent individual adaptations of ventilator settings and allows improvement in oxygenation indexes and reduction of the risk of overdistention at the same time. Trial registration The present study involves data from our ongoing registry for respiratory mechanics (ClinicalTrials.gov identifier: NCT02623192. Registered 30 July 2015). Electronic supplementary material The online version of this article (doi:10.1186/s13054-017-1671-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lu Chen
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.,Keenan Research Centre and Li Ka Shing Institute, Department of Critical Care, St. Michael's Hospital, 209 Victoria Street, Room 408, Toronto, ON, M5B 1T8, Canada
| | - Guang-Qiang Chen
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.,Keenan Research Centre and Li Ka Shing Institute, Department of Critical Care, St. Michael's Hospital, 209 Victoria Street, Room 408, Toronto, ON, M5B 1T8, Canada.,Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Kevin Shore
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
| | - Orest Shklar
- Department of Respiratory Therapy, St. Michael's Hospital, Toronto, ON, Canada
| | - Concetta Martins
- Department of Respiratory Therapy, St. Michael's Hospital, Toronto, ON, Canada
| | - Brian Devenyi
- Department of Respiratory Therapy, St. Michael's Hospital, Toronto, ON, Canada
| | - Paul Lindsay
- Department of Respiratory Therapy, St. Michael's Hospital, Toronto, ON, Canada
| | - Heather McPhail
- Department of Respiratory Therapy, St. Michael's Hospital, Toronto, ON, Canada
| | - Ashley Lanys
- Keenan Research Centre and Li Ka Shing Institute, Department of Critical Care, St. Michael's Hospital, 209 Victoria Street, Room 408, Toronto, ON, M5B 1T8, Canada
| | - Ibrahim Soliman
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
| | - Mazin Tuma
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
| | - Michael Kim
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
| | - Kerri Porretta
- Department of Respiratory Therapy, St. Michael's Hospital, Toronto, ON, Canada
| | - Pamela Greco
- Department of Respiratory Therapy, St. Michael's Hospital, Toronto, ON, Canada
| | - Hilary Every
- Department of Respiratory Therapy, St. Michael's Hospital, Toronto, ON, Canada
| | - Chris Hayes
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.,Keenan Research Centre and Li Ka Shing Institute, Department of Critical Care, St. Michael's Hospital, 209 Victoria Street, Room 408, Toronto, ON, M5B 1T8, Canada
| | - Andrew Baker
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.,Keenan Research Centre and Li Ka Shing Institute, Department of Critical Care, St. Michael's Hospital, 209 Victoria Street, Room 408, Toronto, ON, M5B 1T8, Canada
| | - Jan O Friedrich
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.,Keenan Research Centre and Li Ka Shing Institute, Department of Critical Care, St. Michael's Hospital, 209 Victoria Street, Room 408, Toronto, ON, M5B 1T8, Canada
| | - Laurent Brochard
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada. .,Keenan Research Centre and Li Ka Shing Institute, Department of Critical Care, St. Michael's Hospital, 209 Victoria Street, Room 408, Toronto, ON, M5B 1T8, Canada.
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Abstract
OBJECTIVES Physiologic dead space is associated with mortality in acute respiratory distress syndrome, but its measurement is cumbersome. Alveolar dead space fraction relies on the difference between arterial and end-tidal carbon dioxide (alveolar dead space fraction = (PaCO2 - PetCO2) / PaCO2). We aimed to assess the relationship between alveolar dead space fraction and mortality in a cohort of children meeting criteria for acute respiratory distress syndrome (both the Berlin 2012 and the American-European Consensus Conference 1994 acute lung injury) and pediatric acute respiratory distress syndrome (as defined by the Pediatric Acute Lung Injury Consensus Conference in 2015). DESIGN Secondary analysis of a prospective, observational cohort. SETTING Tertiary care, university affiliated PICU. PATIENTS Invasively ventilated children with pediatric acute respiratory distress syndrome. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Of the 283 children with pediatric acute respiratory distress syndrome, 266 had available PetCO2. Alveolar dead space fraction was lower in survivors (median 0.13; interquartile range, 0.06-0.23) than nonsurvivors (0.31; 0.19-0.42; p < 0.001) at pediatric acute respiratory distress syndrome onset, but not 24 hours after (survivors 0.12 [0.06-0.18], nonsurvivors 0.14 [0.06-0.25], p = 0.430). Alveolar dead space fraction at pediatric acute respiratory distress syndrome onset discriminated mortality with an area under receiver operating characteristic curve of 0.76 (95% CI, 0.66-0.85; p < 0.001), better than either initial oxygenation index or PaO2/FIO2. In multivariate analysis, alveolar dead space fraction at pediatric acute respiratory distress syndrome onset was independently associated with mortality, after adjustment for severity of illness, immunocompromised status, and organ failures. CONCLUSIONS Alveolar dead space fraction at pediatric acute respiratory distress syndrome onset discriminates mortality and is independently associated with nonsurvival. Alveolar dead space fraction represents a single, useful, readily obtained clinical biomarker reflective of pulmonary and nonpulmonary variables associated with mortality.
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