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Vollam S, Dutton S, Lamb S, Petrinic T, Young JD, Watkinson P. Out-of-hours discharge from intensive care, in-hospital mortality and intensive care readmission rates: a systematic review and meta-analysis. Intensive Care Med 2018; 44:1115-1129. [PMID: 29938369 PMCID: PMC6061448 DOI: 10.1007/s00134-018-5245-2] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 05/23/2018] [Indexed: 01/11/2023]
Abstract
PURPOSE Discharge from an intensive care unit (ICU) out of hours is common. We undertook a systematic review and meta-analysis to explore the association between time of discharge and mortality/ICU readmission. METHODS We searched Medline, Embase, Web of Knowledge, CINAHL, the Cochrane Library and OpenGrey to June 2017. We included studies reporting in-hospital mortality and/or ICU readmission rates by ICU discharge "out-of-hours" and "in-hours". Inclusion was limited to patients aged ≥ 16 years discharged alive from a non-specialist ICU to a lower level of hospital care. Studies restricted to specific diseases were excluded. We assessed study quality using the Newcastle Ottowa Scale. We extracted published data, summarising using a random-effects meta-analysis. RESULTS Our searches identified 1961 studies. We included unadjusted data from 1,191,178 patients from 18 cohort studies (presenting data from 1994 to 2014). "Out of hours" had multiple definitions, beginning between 16:00 and 22:00 and ending between 05:59 and 09:00. Patients discharged out of hours had higher in-hospital mortality [relative risk (95% CI) 1.39 (1.24, 1.57) p < 0.0001] and readmission rates [1·30 (1.19, 1.42), p < 0.001] than patients discharged in hours. Heterogeneity was high (I2 90.1% for mortality and 90.2% for readmission), resulting from differences in effect size rather than the presence of an effect. CONCLUSIONS Out-of-hours discharge from an ICU is strongly associated with both in-hospital death and ICU readmission. These effects persisted across all definitions of "out of hours" and across healthcare systems in different geographical locations. Whether these increases in mortality and readmission result from patient differences, differences in care, or a combination remains unclear.
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Affiliation(s)
- Sarah Vollam
- Nuffield Department of Clinical Neurosciences, Kadoorie Centre for Critical Care and Trauma Research and Education, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DU, UK.
| | - Susan Dutton
- Centre for Statistics in Medicine, Botnar Research Centre, University of Oxford, Windmill Road, Oxford, OX3 7LD, UK
| | - Sallie Lamb
- Oxford Clinical Trials Research Unit, Botnar Research Centre, University of Oxford, Windmill Road, Oxford, OX3 7LD, UK
| | - Tatjana Petrinic
- Bodleian Healthcare Libraries, Level 3, Academic Centre, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DU, UK
| | - J Duncan Young
- Nuffield Department of Clinical Neurosciences, Kadoorie Centre for Critical Care and Trauma Research and Education, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DU, UK
| | - Peter Watkinson
- Nuffield Department of Clinical Neurosciences, Kadoorie Centre for Critical Care and Trauma Research and Education, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DU, UK
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Thungtong A, Knoch MF, Jacono FJ, Dick TE, Loparo KA. Periodicity: A Characteristic of Heart Rate Variability Modified by the Type of Mechanical Ventilation After Acute Lung Injury. Front Physiol 2018; 9:772. [PMID: 29971020 PMCID: PMC6018479 DOI: 10.3389/fphys.2018.00772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 06/04/2018] [Indexed: 11/16/2022] Open
Abstract
We present a novel approach to quantify heart rate variability (HRV) and the results of applying this approach to synthetic and original data sets. Our approach evaluates the periodicity of heart rate by calculating the transform of Relative Shannon Entropy, the maximum value of the RR interval periodogram, and the maximum, mean values, and sample entropy of the autocorrelation function. Synthetic data were generated using a Van der Pol oscillator; and the original data were electrocardiogram (ECG) recordings from anesthetized rats after acute lung injury while on biologically variable (BVV) or continuous mechanical ventilation (CMV). Analysis of the synthetic data revealed that our measures were correlated highly to the bandwidth of the oscillator and assessed periodicity. Then, applying these analytical tools to the ECGs determined that the heart rate (HR) of BVV group had less periodicity and higher variability than the HR of the CMV group. Quantifying periodicity effectively identified a readily apparent difference in HRV during BVV and CMV that was not identified by power spectral density measures during BVV and CMV. Cardiorespiratory coupling is the probable mechanism for HRV increasing during BVV and becoming periodic during CMV. Thus, the absence or presence of periodicity in ventilation determined HRV, and this mechanism is distinctly different from the cardiorespiratory uncoupling that accounts for the loss of HRV during sepsis.
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Affiliation(s)
- Anurak Thungtong
- School of Engineering and Resources, Walailak University, Nakhon Si Thammarat, Thailand.,Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, United States
| | - Matthew F Knoch
- Division of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, University Hospitals Cleveland Medical Center (UHCMC), Cleveland, OH, United States
| | - Frank J Jacono
- Division of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, University Hospitals Cleveland Medical Center (UHCMC), Cleveland, OH, United States.,Louis Stokes Cleveland VA Medical Center, Cleveland, OH, United States
| | - Thomas E Dick
- Division of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, University Hospitals Cleveland Medical Center (UHCMC), Cleveland, OH, United States.,Department of Neurosciences, Case Western Reserve University, Cleveland, OH, United States
| | - Kenneth A Loparo
- Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, United States
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Schmidt M, Kindler F, Cecchini J, Poitou T, Morawiec E, Persichini R, Similowski T, Demoule A. Neurally adjusted ventilatory assist and proportional assist ventilation both improve patient-ventilator interaction. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2015; 19:56. [PMID: 25879592 PMCID: PMC4355459 DOI: 10.1186/s13054-015-0763-6] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2014] [Accepted: 01/22/2015] [Indexed: 12/02/2022]
Abstract
Introduction The objective was to compare the impact of three assistance levels of different modes of mechanical ventilation; neurally adjusted ventilatory assist (NAVA), proportional assist ventilation (PAV), and pressure support ventilation (PSV) on major features of patient-ventilator interaction. Methods PSV, NAVA, and PAV were set to obtain a tidal volume (VT) of 6 to 8 ml/kg (PSV100, NAVA100, and PAV100) in 16 intubated patients. Assistance was further decreased by 50% (PSV50, NAVA50, and PAV50) and then increased by 50% (PSV150, NAVA150, and PAV150) with all modes. The three modes were randomly applied. Airway flow and pressure, electrical activity of the diaphragm (EAdi), and blood gases were measured. VT, peak EAdi, coefficient of variation of VT and EAdi, and the prevalence of the main patient-ventilator asynchronies were calculated. Results PAV and NAVA prevented the increase of VT with high levels of assistance (median 7.4 (interquartile range (IQR) 5.7 to 10.1) ml/kg and 7.4 (IQR, 5.9 to 10.5) ml/kg with PAV150 and NAVA150 versus 10.9 (IQR, 8.9 to 12.0) ml/kg with PSV150, P <0.05). EAdi was higher with PAV than with PSV at level100 and level150. The coefficient of variation of VT was higher with NAVA and PAV (19 (IQR, 14 to 31)% and 21 (IQR 16 to 29)% with NAVA100 and PAV100 versus 13 (IQR 11 to 18)% with PSV100, P <0.05). The prevalence of ineffective triggering was lower with PAV and NAVA than with PSV (P <0.05), but the prevalence of double triggering was higher with NAVA than with PAV and PSV (P <0.05). Conclusions PAV and NAVA both prevent overdistention, improve neuromechanical coupling, restore the variability of the breathing pattern, and decrease patient-ventilator asynchrony in fairly similar ways compared with PSV. Further studies are needed to evaluate the possible clinical benefits of NAVA and PAV on clinical outcomes. Trial registration Clinicaltrials.gov NCT02056093. Registered 18 December 2013. Electronic supplementary material The online version of this article (doi:10.1186/s13054-015-0763-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Matthieu Schmidt
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005, Paris, France. .,INSERM, UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005, Paris, France. .,AP-HP, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Service de Pneumologie et Réanimation Médicale (Département R3S), F-75013, Paris, France. .,Service de Pneumologie et Réanimation Médicale, Groupe Hospitalier Pitié-Salpêtrière, 47-83 boulevard de l'Hôpital, 75651, Paris, Cedex 13, France.
| | - Felix Kindler
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Service de Pneumologie et Réanimation Médicale (Département R3S), F-75013, Paris, France.
| | - Jérôme Cecchini
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005, Paris, France. .,INSERM, UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005, Paris, France.
| | - Tymothée Poitou
- Université Pierre et Marie Curie-CNRS-INSERM, ICM, Equipe Neurologie et Thérapeutique Expérimentale, Hôpital de la Salpêtrière, Paris, France.
| | - Elise Morawiec
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005, Paris, France. .,INSERM, UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005, Paris, France. .,AP-HP, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Service de Pneumologie et Réanimation Médicale (Département R3S), F-75013, Paris, France.
| | - Romain Persichini
- AP-HP, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Service de Pneumologie et Réanimation Médicale (Département R3S), F-75013, Paris, France.
| | - Thomas Similowski
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005, Paris, France. .,INSERM, UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005, Paris, France. .,AP-HP, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Service de Pneumologie et Réanimation Médicale (Département R3S), F-75013, Paris, France.
| | - Alexandre Demoule
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005, Paris, France. .,INSERM, UMR_S 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, F-75005, Paris, France. .,AP-HP, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Service de Pneumologie et Réanimation Médicale (Département R3S), F-75013, Paris, France. .,U974, Institut National de la Santé et de la Recherche médicale, Paris, France.
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Bassani T, Bari V, Marchi A, Wu MA, Baselli G, Citerio G, Beda A, de Abreu MG, Güldner A, Guzzetti S, Porta A. Coherence analysis overestimates the role of baroreflex in governing the interactions between heart period and systolic arterial pressure variabilities during general anesthesia. Auton Neurosci 2013; 178:83-8. [PMID: 23578373 PMCID: PMC3820040 DOI: 10.1016/j.autneu.2013.03.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2012] [Revised: 01/07/2013] [Accepted: 03/19/2013] [Indexed: 11/28/2022]
Abstract
During general anesthesia positive pressure mechanical ventilation (MV) profoundly affects intrathoracic pressure and venous return, thus soliciting cardiopulmonary reflexes and modifying stroke volume. As a consequence heart period, approximated as the temporal distance between two consecutive R peaks on the ECG (RR), and systolic arterial pressure (SAP) variability series are usually highly correlated at the MV frequency (MVF) and this significant correlation is commonly taken as an indication of an active baroreflex. In this study the involvement of baroreflex was tested according to a time-domain linear Granger causality approach accounting explicitly for MV in two experimental protocols. In the first protocol volatile (VA) or intravenous (IA) anesthetic was administered in humans during pressure controlled MV (PCMV). In the second protocol IA was administered in pigs during PCMV or pressure support MV (PSMV). Causality analysis was contrasted with RR-SAP squared coherence. Significant coherence values at MVF were always found in both protocols. On the contrary, a significant causal link from SAP to RR was less frequently found in humans independently of the anesthesiological strategy and in animals during PCMV. PSMV was superior to PCMV in animals because it was able to better preserve a link from SAP to RR. During general anesthesia the involvement of baroreflex in governing RR-SAP variability interactions is largely overestimated by RR-SAP squared coherence and causality analysis can be exploited to rank anesthesiological strategies and MV modes according to the ability of preserving a working baroreflex.
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Affiliation(s)
- Tito Bassani
- Department of Biomedical Sciences for Health, Galeazzi Orthopedic Institute, University of Milan, Milan, Italy
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Antonelli M, Azoulay E, Bonten M, Chastre J, Citerio G, Conti G, De Backer D, Gerlach H, Hedenstierna G, Joannidis M, Macrae D, Mancebo J, Maggiore SM, Mebazaa A, Preiser JC, Pugin J, Wernerman J, Zhang H. Year in review in Intensive Care Medicine 2010: III. ARDS and ALI, mechanical ventilation, noninvasive ventilation, weaning, endotracheal intubation, lung ultrasound and paediatrics. Intensive Care Med 2011; 37:394-410. [PMID: 21290103 PMCID: PMC3042109 DOI: 10.1007/s00134-011-2136-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2011] [Accepted: 01/19/2011] [Indexed: 01/10/2023]
Affiliation(s)
- Massimo Antonelli
- Department of Intensive Care and Anesthesiology, Policlinico Universitario A. Gemelli, Università Cattolica del Sacro Cuore, Largo A. Gemelli, 8, 00168, Rome, Italy.
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