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Hochberg CH, Case AS, Psoter KJ, Brodie D, Dezube RH, Sahetya SK, Outten C, Street L, Eakin MN, Hager DN. Lung Protective Ventilation Adherence and Outcomes for Patients With COVID-19 Acute Respiratory Distress Syndrome Treated in an Intermediate Care Unit Repurposed to ICU Level of Care. Crit Care Explor 2024; 6:e1127. [PMID: 39018303 PMCID: PMC11257666 DOI: 10.1097/cce.0000000000001127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/19/2024] Open
Abstract
OBJECTIVE During the COVID-19 pandemic, some centers converted intermediate care units (IMCUs) to COVID-19 ICUs (IMCU/ICUs). In this study, we compared adherence to lung protective ventilation (LPV) and outcomes for patients with COVID-19-related acute respiratory distress syndrome (ARDS) treated in an IMCU/ICU versus preexisting medical ICUs (MICUs). DESIGN Retrospective observational study using electronic medical record data. SETTING Two academic medical centers from March 2020 to September 2020 (period 1) and October 2020 to May 2021 (period 2), which capture the first two COVID-19 surges in this health system. PATIENTS Adults with COVID-19 receiving invasive mechanical ventilation who met ARDS oxygenation criteria (Pao2/Fio2 ≤ 300 mm Hg or Spo2/Fio2 ≤ 315). INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS We defined LPV adherence as the percent of the first 48 hours of mechanical ventilation that met a restrictive definition of LPV of, tidal volume/predicted body weight (Vt/PBW) less than or equal to 6.5 mL/kg and plateau pressure (Pplat) less than or equal to 30 cm H2o. In an expanded definition, we added that if Pplat is greater than 30 cm H2o, Vt/PBW had to be less than 6.0 mL/kg. Using the restricted definition, period 1 adherence was lower among 133 IMCU/ICU versus 199 MICU patients (92% [95% CI, 50-100] vs. 100% [86-100], p = 0.05). Period 2 adherence was similar between groups (100% [75-100] vs. 95% CI [65-100], p = 0.68). A similar pattern was observed using the expanded definition. For the full study period, the adjusted hazard of death at 90 days was lower in IMCU/ICU versus MICU patients (hazard ratio [HR] 0.73 [95% CI, 0.55-0.99]), whereas ventilator liberation by day 28 was similar between groups (adjusted subdistribution HR 1.09 [95% CI, 0.85-1.39]). CONCLUSIONS In patients with COVID-19 ARDS treated in an IMCU/ICU, LPV adherence was similar to, and observed survival better than those treated in preexisting MICUs. With adequate resources, protocols, and staffing, IMCUs provide an effective source of additional ICU capacity for patients with acute respiratory failure.
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Affiliation(s)
- Chad H. Hochberg
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Aaron S. Case
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Kevin J. Psoter
- Department of Pediatrics, Johns Hopkins University, Baltimore, MD
| | - Daniel Brodie
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Rebecca H. Dezube
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Sarina K. Sahetya
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Carrie Outten
- Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Lara Street
- Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Michelle N. Eakin
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - David N. Hager
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD
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See KC, Sahagun J, Taculod J. Patient characteristics and outcomes associated with adherence to the low PEEP/FIO2 table for acute respiratory distress syndrome. Sci Rep 2021; 11:14619. [PMID: 34272453 PMCID: PMC8285534 DOI: 10.1038/s41598-021-94081-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 07/01/2021] [Indexed: 11/24/2022] Open
Abstract
It remains uncertain how best to set positive end-expiratory pressure (PEEP) for mechanically ventilated patients with the acute respiratory distress syndrome (ARDS). Among patients on low tidal volume ventilation (LTVV), we investigated if further adherence to the low PEEP/FIO2 (inspired oxygen fraction) table would be associated with better survival compared to nonadherence. Patients with ARDS, admitted directly from the Emergency Department to our 20-bed Medical Intensive Care Unit (ICU) from August 2016 to July 2017, were retrospectively studied. To determine adherence to the low PEEP/FIO2 table, PEEP and FIO2 12 h after ICU admission were used, to reflect ventilator adjustments by ICU clinicians after initial stabilization. Logistic regression was used to analyze hospital mortality as an outcome with adherence to the low PEEP/FIO2 as the key independent variable, adjusted for age, APACHE II score, initial P/F ratio and initial systolic blood pressure. 138 patients with ARDS were analysed. Overall adherence to the low PEEP/FIO2 table was 75.4%. Among patients on LTVV, nonadherence to the low PEEP/FIO2 table was associated with increased mortality compared to adherence (adjusted odds ratio 4.10, 95% confidence interval 1.68–9.99, P = 0.002). Patient characteristics at baseline were not associated with adherence to the low PEEP/FIO2 table.
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Affiliation(s)
- Kay Choong See
- Division of Respiratory & Critical Care Medicine, Department of Medicine, National University Hospital, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore, 119228, Singapore. .,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Juliet Sahagun
- Division of Critical Care-Respiratory Therapy, National University Hospital, Singapore, Singapore
| | - Juvel Taculod
- Division of Critical Care-Respiratory Therapy, National University Hospital, Singapore, Singapore
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3
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Short B, Serra A, Tariq A, Moitra V, Brodie D, Patel S, Baldwin MR, Yip NH. Implementation of lung protective ventilation order to improve adherence to low tidal volume ventilation: A RE-AIM evaluation. J Crit Care 2021; 63:167-174. [PMID: 33004237 PMCID: PMC7979571 DOI: 10.1016/j.jcrc.2020.09.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 08/27/2020] [Accepted: 09/15/2020] [Indexed: 12/21/2022]
Abstract
PURPOSE Lung protective ventilation (LPV), defined as a tidal volume (Vt) ≤8 cc/kg of predicted body weight, reduces ventilator-induced lung injury but is applied inconsistently. MATERIALS AND METHODS We conducted a prospective, quasi-experimental, cohort study of adults mechanically ventilated admitted to intensive care units (ICU) in the year before, year after, and second year after implementation of an electronic medical record based LPV order, and a cross-sectional qualitative study of ICU providers regarding their perceptions of the order. We applied the Reach, Efficacy, Adoption, Implementation, and Maintenance (RE-AIM) framework to evaluate the implementation. RESULTS There were 1405, 1424, and 1342 in the control, adoption, and maintenance cohorts, representing 95% of mechanically ventilated adult ICU patients. The overall prevalence of LPV increased from 65% to 73% (p < 0.001, adjusted-OR for LPV adherence: 1.9, 95% CI 1.5-2.3), but LPV adherence in women was approximately 30% worse than in men (women: 44% to 56% [p < 0.001],men: 79% to 86% [p < 0.001]). ICU providers noted difficulty obtaining an accurate height measurement and mistrust of the Vt calculation as barriers to implementation. LPV adherence increased further in the second year post implementation. CONCLUSION We designed and implemented an LPV order that sustainably improved LPV adherence across diverse ICUs.
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Affiliation(s)
- Briana Short
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Columbia University Vagelos College of Physicians & Surgeons/NewYork-Presbyterian Hospital, New York, NY, United States of America.
| | - Alexis Serra
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Columbia University Vagelos College of Physicians & Surgeons/NewYork-Presbyterian Hospital, New York, NY, United States of America
| | - Abdul Tariq
- The Value Institute at NewYork-Presbyterian Hospital, New York, NY, United States of America
| | - Vivek Moitra
- Department of Anesthesia, Columbia University Vagelos College of Physicians & Surgeons/NewYork-Presbyterian Hospital, New York, NY, United States of America
| | - Daniel Brodie
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Columbia University Vagelos College of Physicians & Surgeons/NewYork-Presbyterian Hospital, New York, NY, United States of America
| | - Sapana Patel
- The New York State Psychiatric Institute, Research Foundation for Mental Hygiene, New York, NY, United States of America; Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, United States of America
| | - Matthew R Baldwin
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Columbia University Vagelos College of Physicians & Surgeons/NewYork-Presbyterian Hospital, New York, NY, United States of America
| | - Natalie H Yip
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Columbia University Vagelos College of Physicians & Surgeons/NewYork-Presbyterian Hospital, New York, NY, United States of America
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4
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Kumar A, Aikens RC, Hom J, Shieh L, Chiang J, Morales D, Saini D, Musen M, Baiocchi M, Altman R, Goldstein MK, Asch S, Chen JH. OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases. J Am Med Inform Assoc 2020; 27:1850-1859. [PMID: 33106874 PMCID: PMC7727352 DOI: 10.1093/jamia/ocaa190] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 07/13/2020] [Accepted: 07/25/2020] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To assess usability and usefulness of a machine learning-based order recommender system applied to simulated clinical cases. MATERIALS AND METHODS 43 physicians entered orders for 5 simulated clinical cases using a clinical order entry interface with or without access to a previously developed automated order recommender system. Cases were randomly allocated to the recommender system in a 3:2 ratio. A panel of clinicians scored whether the orders placed were clinically appropriate. Our primary outcome included the difference in clinical appropriateness scores. Secondary outcomes included total number of orders, case time, and survey responses. RESULTS Clinical appropriateness scores per order were comparable for cases randomized to the order recommender system (mean difference -0.11 order per score, 95% CI: [-0.41, 0.20]). Physicians using the recommender placed more orders (median 16 vs 15 orders, incidence rate ratio 1.09, 95%CI: [1.01-1.17]). Case times were comparable with the recommender system. Order suggestions generated from the recommender system were more likely to match physician needs than standard manual search options. Physicians used recommender suggestions in 98% of available cases. Approximately 95% of participants agreed the system would be useful for their workflows. DISCUSSION User testing with a simulated electronic medical record interface can assess the value of machine learning and clinical decision support tools for clinician usability and acceptance before live deployments. CONCLUSIONS Clinicians can use and accept machine learned clinical order recommendations integrated into an electronic order entry interface in a simulated setting. The clinical appropriateness of orders entered was comparable even when supported by automated recommendations.
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Affiliation(s)
- Andre Kumar
- Division of Hospital Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - Rachael C Aikens
- Program in Biomedical Informatics, Stanford University, Stanford, California, USA
- Department of Statistics, Stanford University, Stanford, California, USA
| | - Jason Hom
- Division of Hospital Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - Lisa Shieh
- Division of Hospital Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - Jonathan Chiang
- Department of Medicine, Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA
| | - David Morales
- Department of Computer Science, Stanford University, Stanford, California, USA
| | - Divya Saini
- Department of Computer Science, Stanford University, Stanford, California, USA
| | - Mark Musen
- Department of Medicine, Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA
| | - Michael Baiocchi
- Department of Epidemiology and Public Health, Stanford University, Stanford, California, USA
| | - Russ Altman
- Departments of Bioengineering, Genetics, Medicine, and Biomedical Data Science, Stanford University, Stanford, California, USA
| | - Mary K Goldstein
- Geriatrics Research Education and Clinical Center, Veteran Affairs Palo Alto Health Care System, Palo Alto, California, USA
- Primary Care and Outcomes Research (PCOR), Department of Medicine, Stanford University, Stanford, California, USA
| | - Steven Asch
- Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, California, USA
- Center for Innovation to Implementation, Veteran Affairs Palo Alto Health Care System, Palo Alto, California, USA
| | - Jonathan H Chen
- Division of Hospital Medicine, Department of Medicine, Stanford University, Stanford, California, USA
- Department of Medicine, Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA
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Online Learning and Residents' Acquisition of Mechanical Ventilation Knowledge: Sequencing Matters. Crit Care Med 2020; 48:e1-e8. [PMID: 31688194 DOI: 10.1097/ccm.0000000000004071] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Rapid advancements in medicine and changing standards in medical education require new, efficient educational strategies. We investigated whether an online intervention could increase residents' knowledge and improve knowledge retention in mechanical ventilation when compared with a clinical rotation and whether the timing of intervention had an impact on overall knowledge gains. DESIGN A prospective, interventional crossover study conducted from October 2015 to December 2017. SETTING Multicenter study conducted in 33 PICUs across eight countries. SUBJECTS Pediatric categorical residents rotating through the PICU for the first time. We allocated 483 residents into two arms based on rotation date to use an online intervention either before or after the clinical rotation. INTERVENTIONS Residents completed an online virtual mechanical ventilation simulator either before or after a 1-month clinical rotation with a 2-month period between interventions. MEASUREMENTS AND MAIN RESULTS Performance on case-based, multiple-choice question tests before and after each intervention was used to quantify knowledge gains and knowledge retention. Initial knowledge gains in residents who completed the online intervention (average knowledge gain, 6.9%; SD, 18.2) were noninferior compared with those who completed 1 month of a clinical rotation (average knowledge gain, 6.1%; SD, 18.9; difference, 0.8%; 95% CI, -5.05 to 6.47; p = 0.81). Knowledge retention was greater following completion of the online intervention when compared with the clinical rotation when controlling for time (difference, 7.6%; 95% CI, 0.7-14.5; p = 0.03). When the online intervention was sequenced before (average knowledge gain, 14.6%; SD, 15.4) rather than after (average knowledge gain, 7.0%; SD, 19.1) the clinical rotation, residents had superior overall knowledge acquisition (difference, 7.6%; 95% CI, 2.01-12.97;p = 0.008). CONCLUSIONS Incorporating an interactive online educational intervention prior to a clinical rotation may offer a strategy to prime learners for the upcoming rotation, augmenting clinical learning in graduate medical education.
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Standardized Management for Hypoxemic Respiratory Failure and ARDS: Systematic Review and Meta-analysis. Chest 2020; 158:2358-2369. [PMID: 32629038 DOI: 10.1016/j.chest.2020.05.611] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 04/30/2020] [Accepted: 05/29/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Treatment of hypoxemic respiratory failure (HRF) and ARDS is complex. Standardized management of HRF and ARDS may improve adherence to evidence-informed practice and improve outcomes. RESEARCH QUESTION What is the effect of standardized treatment compared with usual care on survival of patients with HRF and ARDS? STUDY DESIGN AND METHODS MEDLINE, EMBASE, Cochrane, CINAHL, Scopus, and Web-of-Science were searched (inception to 2018). Included studies were randomized clinical trials or quasi-experimental studies that examined the effect of standardized treatment (care-protocol, care-pathway, or bundle) compared with usual treatment among mechanically ventilated adult patients admitted to an ICU with HRF or ARDS. Study characteristics, pathway components, and patient outcomes were abstracted independently by two reviewers. RESULTS From 15,932 unique citations, 14 studies were included in the systematic review (three randomized clinical trials and 11 quasi-experimental studies). Twelve studies (including 5,767 patients) were included in the meta-analysis. Standardized management of HRF was associated with a 23% relative reduction in mortality (relative risk, 0.77; 95% CI, 0.65-0.91; I2, 70%; P = .002). In studies targeting patients with ARDS (n = 8), a 21% pooled mortality reduction was observed (relative risk, 0.79; 95% CI, 0.71-0.88; I2, 3.1%). Standardized management was associated with increased 28-day ventilator-free days (weighted mean difference, 3.48 days; 95% CI, 2.43-4.54 days; P < .001). Standardized management was also associated with a reduction in tidal volume (weighted mean difference, -1.80 mL/kg predicted body weight; 95% CI, -2.80 to -0.80 mL/kg predicted body weight; P < .001). Meta-regression demonstrated that the reduction in mortality was associated with provision of lower tidal volume (P = .045). INTERPRETATION When compared with usual treatment, standardized treatment of patients with HRF and ARDS is associated with increased ventilator-free days, lower tidal volume ventilation, and lower mortality. ICUs should consider the use of standardized treatment to improve the processes and outcomes of care for patients with HRF and ARDS. CLINICAL TRIAL REGISTRATION PROSPERO; No.: CRD42019099921; URL: www.crd.york.ac.uk/prospero/.
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Midega TD, Bozza FA, Machado FR, Guimarães HP, Salluh JI, Nassar AP, Normílio-Silva K, Schultz MJ, Cavalcanti AB, Serpa Neto A. Organizational factors associated with adherence to low tidal volume ventilation: a secondary analysis of the CHECKLIST-ICU database. Ann Intensive Care 2020; 10:68. [PMID: 32488524 PMCID: PMC7266115 DOI: 10.1186/s13613-020-00687-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 05/25/2020] [Indexed: 12/15/2022] Open
Abstract
Background Survival benefit from low tidal volume (VT) ventilation (LTVV) has been demonstrated for patients with acute respiratory distress syndrome (ARDS), and patients not having ARDS could also benefit from this strategy. Organizational factors may play a role on adherence to LTVV. The present study aimed to identify organizational factors with an independent association with adherence to LTVV. Methods Secondary analysis of the database of a multicenter two-phase study (prospective cohort followed by a cluster-randomized trial) performed in 118 Brazilian intensive care units. Patients under mechanical ventilation at day 2 were included. LTVV was defined as a VT ≤ 8 ml/kg PBW on the second day of ventilation. Data on the type and number of beds of the hospital, teaching status, nursing, respiratory therapists and physician staffing, use of structured checklist, and presence of protocols were tested. A multivariable mixed-effect model was used to assess the association between organizational factors and adherence to LTVV. Results The study included 5719 patients; 3340 (58%) patients received LTVV. A greater number of hospital beds (absolute difference 7.43% [95% confidence interval 0.61–14.24%]; p = 0.038), use of structured checklist during multidisciplinary rounds (5.10% [0.55–9.81%]; p = 0.030), and presence of at least one nurse per 10 patients during all shifts (17.24% [0.85–33.60%]; p = 0.045) were the only three factors that had an independent association with adherence to LTVV. Conclusions Number of hospital beds, use of a structured checklist during multidisciplinary rounds, and nurse staffing are organizational factors associated with adherence to LTVV. These findings shed light on organizational factors that may improve ventilation in critically ill patients.
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Affiliation(s)
- Thais Dias Midega
- Department of Critical Care Medicine, Hospital Israelita Albert Einstein, Albert Einstein Avenue, 700, São Paulo, Brazil
| | - Fernando A Bozza
- Research Institute, Instituto D'Or de Pesquisa e Ensino (IDOR), Rio de Janeiro, Brazil.,Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
| | - Flávia Ribeiro Machado
- Anesthesiology, Pain and Intensive Care Department, Federal University of São Paulo, São Paulo, Brazil
| | - Helio Penna Guimarães
- Department of Critical Care Medicine, Hospital Israelita Albert Einstein, Albert Einstein Avenue, 700, São Paulo, Brazil.,Academic Research Organization, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Jorge I Salluh
- Graduate Program in Translational Medicine and Department of Critical Care, Instituto D'Or de Pesquisa e Ensino (IDOR), Rio de Janeiro, Brazil.,Post Graduate Program in Internal Medicine, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Antonio Paulo Nassar
- Intensive Care Unit and Postgraduate Program, A.C. Camargo Cancer Center, São Paulo, Brazil
| | | | - Marcus J Schultz
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Academic Medical Center, Amsterdam, The Netherlands.,Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | | | - Ary Serpa Neto
- Department of Critical Care Medicine, Hospital Israelita Albert Einstein, Albert Einstein Avenue, 700, São Paulo, Brazil. .,Department of Intensive Care & Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Academic Medical Center, Amsterdam, The Netherlands.
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Foley TM, Philpot BA, Davis AS, Swanson MB, Harland KK, Kuhn JD, Fuller BM, Mohr NM. Implementation of an ED-based bundled mechanical ventilation protocol improves adherence to lung-protective ventilation. Am J Emerg Med 2020; 43:186-194. [PMID: 32139215 PMCID: PMC7483340 DOI: 10.1016/j.ajem.2020.02.053] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 02/11/2020] [Accepted: 02/25/2020] [Indexed: 11/05/2022] Open
Affiliation(s)
- Tyler M Foley
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, United States of America.
| | - Brittany A Philpot
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, United States of America
| | - Alysa S Davis
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, United States of America
| | - Morgan B Swanson
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, United States of America
| | - Karisa K Harland
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, United States of America
| | - Justin D Kuhn
- Department of Respiratory Care, University of Iowa Carver College of Medicine, Iowa City, IA, United States of America
| | - Brian M Fuller
- Division of Emergency Medicine, Department of Anesthesiology, Division of Critical Care, Washington University School of Medicine in St. Louis, St. Louis, MO, United States of America
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, United States of America; Division of Critical Care, Department of Anesthesia, University of Iowa Carver College of Medicine, Iowa City, IA, United States of America
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9
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Zampieri FG, Salluh JIF, Azevedo LCP, Kahn JM, Damiani LP, Borges LP, Viana WN, Costa R, Corrêa TD, Araya DES, Maia MO, Ferez MA, Carvalho AGR, Knibel MF, Melo UO, Santino MS, Lisboa T, Caser EB, Besen BAMP, Bozza FA, Angus DC, Soares M. ICU staffing feature phenotypes and their relationship with patients' outcomes: an unsupervised machine learning analysis. Intensive Care Med 2019; 45:1599-1607. [PMID: 31595349 DOI: 10.1007/s00134-019-05790-z] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 09/17/2019] [Indexed: 01/09/2023]
Abstract
PURPOSE To study whether ICU staffing features are associated with improved hospital mortality, ICU length of stay (LOS) and duration of mechanical ventilation (MV) using cluster analysis directed by machine learning. METHODS The following variables were included in the analysis: average bed to nurse, physiotherapist and physician ratios, presence of 24/7 board-certified intensivists and dedicated pharmacists in the ICU, and nurse and physiotherapist autonomy scores. Clusters were defined using the partition around medoids method. We assessed the association between clusters and hospital mortality using logistic regression and with ICU LOS and MV duration using competing risk regression. RESULTS Analysis included data from 129,680 patients admitted to 93 ICUs (2014-2015). Three clusters were identified. The features distinguishing between the clusters were: the presence of board-certified intensivists in the ICU 24/7 (present in Cluster 3), dedicated pharmacists (present in Clusters 2 and 3) and the extent of nurse autonomy (which increased from Clusters 1 to 3). The patients in Cluster 3 exhibited the best outcomes, with lower adjusted hospital mortality [odds ratio 0.92 (95% confidence interval (CI), 0.87-0.98)], shorter ICU LOS [subhazard ratio (SHR) for patients surviving to ICU discharge 1.24 (95% CI 1.22-1.26)] and shorter durations of MV [SHR for undergoing extubation 1.61(95% CI 1.54-1.69)]. Cluster 1 had the worst outcomes. CONCLUSION Patients treated in ICUs combining 24/7 expert intensivist coverage, a dedicated pharmacist and nurses with greater autonomy had the best outcomes. All of these features represent achievable targets that should be considered by policy makers with an interest in promoting equal and optimal ICU care.
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Affiliation(s)
- Fernando G Zampieri
- Graduate Program in Translational Medicine, Department of Critical Care, D'Or Institute for Research and Education, Rua Diniz Cordeiro, 30. Botafogo, Rio De Janeiro, 22281-100, Brazil.,Research Institute, HCor-Hospital do Coração, São Paulo, Brazil
| | - Jorge I F Salluh
- Graduate Program in Translational Medicine, Department of Critical Care, D'Or Institute for Research and Education, Rua Diniz Cordeiro, 30. Botafogo, Rio De Janeiro, 22281-100, Brazil.,Department of Research and Development, Epimed Solutions, Rio De Janeiro, Brazil
| | | | - Jeremy M Kahn
- Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Department of Health Policy & Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Lucas P Damiani
- Research Institute, HCor-Hospital do Coração, São Paulo, Brazil
| | - Lunna P Borges
- Department of Research and Development, Epimed Solutions, Rio De Janeiro, Brazil
| | | | | | - Thiago D Corrêa
- Adult ICU, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | | | - Marcelo O Maia
- ICU, Hospital Santa Luzia Rede D'Or São Luiz DF, Brasília, Brazil
| | | | | | | | - Ulisses O Melo
- ICU, Hospital Estadual Alberto Torres, São Gonçalo, Brazil
| | | | - Thiago Lisboa
- ICU, Hospital Santa Rita, Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Brazil
| | | | | | - Fernando A Bozza
- Graduate Program in Translational Medicine, Department of Critical Care, D'Or Institute for Research and Education, Rua Diniz Cordeiro, 30. Botafogo, Rio De Janeiro, 22281-100, Brazil.,Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio De Janeiro, Brazil
| | - Derek C Angus
- Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Department of Health Policy & Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Marcio Soares
- Graduate Program in Translational Medicine, Department of Critical Care, D'Or Institute for Research and Education, Rua Diniz Cordeiro, 30. Botafogo, Rio De Janeiro, 22281-100, Brazil.
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10
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Zisk-Rony RY, Weissman C, Weiss YG. Mechanical ventilation patterns and trends over 20 years in an Israeli hospital system: policy ramifications. Isr J Health Policy Res 2019; 8:20. [PMID: 30709421 PMCID: PMC6357444 DOI: 10.1186/s13584-019-0291-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 01/18/2019] [Indexed: 11/27/2022] Open
Abstract
Background Mechanical ventilation is a life supporting modality increasingly utilized when caring for severely ill patients. Its increasing use has extended the survival of the critically ill leading to increasing healthcare expenditures. We examined changes in the hospital-wide use of mechanical ventilation over 20 years (1997–2016) in two Israeli hospitals to determine whether there were specific patterns (e.g. seasonality, weekday vs. weekend) and trends (e.g. increases or decreases) among various hospital departments and units. Methods Retrospective analysis of prospectively collected data on all mechanically ventilated patients over 20-years in a two-hospital Israeli medical system was performed. Data were collected for each hospital unit caring for ventilated patients. Time-series analysis examined short and long-term trends, seasonality and intra-week variation. Results Over two decades overall ventilator-days increased from 11,164 (31 patients/day) in 1997 to 24,317 (67 patients/day) in 2016 mainly due to more patients ventilated on internal medicine wards (1997: 4 patients/day; 2016: 24 patients/day). The increases in other hospital areas did not approach the magnitude of the internal medicine wards increases. Ventilation on wards reflected the insufficient number of ICU beds in Israel. A detailed snapshot over 4 months of patients ventilated on internal medicine wards (n = 745) showed that they tended to be elderly (median age 75 years) and that 24% were ventilated for more than a week. Hospital-wide ventilation patterns were the weighted sum of the various individual patient units with the most noticeable pattern being peak winter prevalence on the internal medical wards and in the emergency department. This seasonality is not surprising, given the greater incidence of respiratory ailments in winter. Conclusions Increased mechanical ventilation plus seasonality have budgetary, operational and staffing consequences for individual hospitals and the entire healthcare system. The Israeli healthcare leadership needs to plan and support expanding, equipping and staffing acute and chronic care units that are staffed by providers trained to care for such complex patients. Electronic supplementary material The online version of this article (10.1186/s13584-019-0291-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Charles Weissman
- Department of Anesthesiology and Critical Care Medicine, Respiratory Care Service and Hospital Administration, Hadassah-Hebrew University Medical Center, Hebrew University-Hadassah School of Medicine, Kiryat Hadassah POB 12000, 91120, Jerusalem, Israel.
| | - Yoram G Weiss
- Department of Anesthesiology and Critical Care Medicine, Respiratory Care Service and Hospital Administration, Hadassah-Hebrew University Medical Center, Hebrew University-Hadassah School of Medicine, Kiryat Hadassah POB 12000, 91120, Jerusalem, Israel
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