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Aagaard N, Olsen MH, Rasmussen OW, Grønbaek KK, Mølgaard J, Haahr-Raunkjaer C, Elvekjaer M, Aasvang EK, Meyhoff CS. Prognostic value of heart rate variability for risk of serious adverse events in continuously monitored hospital patients. J Clin Monit Comput 2024:10.1007/s10877-024-01193-8. [PMID: 39162840 DOI: 10.1007/s10877-024-01193-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 07/04/2024] [Indexed: 08/21/2024]
Abstract
Technological advances allow continuous vital sign monitoring at the general ward, but traditional vital signs alone may not predict serious adverse events (SAE). This study investigated continuous heart rate variability (HRV) monitoring's predictive value for SAEs in acute medical and major surgical patients. Data was collected from four prospective observational studies and two randomized controlled trials using a single-lead ECG. The primary outcome was any SAE, secondary outcomes included all-cause mortality and specific non-fatal SAE groups, all within 30 days. Subgroup analyses of medical and surgical patients were performed. The primary analysis compared the last 24 h preceding an SAE with the last 24 h of measurements in patients without an SAE. The area under a receiver operating characteristics curve (AUROC) quantified predictive performance, interpretated as low prognostic ability (0.5-0.7), moderate prognostic ability (0.7-0.9), or high prognostic ability (> 0.9). Of 1402 assessed patients, 923 were analysed, with 297 (32%) experiencing at least one SAE. The best performing threshold had an AUROC of 0.67 (95% confidence interval (CI) 0.63-0.71) for predicting cardiovascular SAEs. In the surgical subgroup, the best performing threshold had an AUROC of 0.70 (95% CI 0.60-0.81) for neurologic SAE prediction. In the medical subgroup, thresholds for all-cause mortality, cardiovascular, infectious, and neurologic SAEs had moderate prognostic ability, and the best performing threshold had an AUROC of 0.85 (95% CI 0.76-0.95) for predicting neurologic SAEs. Predicting SAEs based on the accumulated time below thresholds for individual continuously measured HRV parameters demonstrated overall low prognostic ability in high-risk hospitalized patients. Certain HRV thresholds had moderate prognostic ability for prediction of specific SAEs in the medical subgroup.
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Affiliation(s)
- Nikolaj Aagaard
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark.
| | - Markus Harboe Olsen
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Neuroanaesthesiology, The Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Oliver Wiik Rasmussen
- Biomedical Engineering, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Katja K Grønbaek
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Jesper Mølgaard
- Department of Anaesthesia, CKO, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Camilla Haahr-Raunkjaer
- Department of Anaesthesia, CKO, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Mikkel Elvekjaer
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Eske K Aasvang
- Department of Anaesthesia, CKO, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Christian S Meyhoff
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Saugel B, Fletcher N, Gan TJ, Grocott MPW, Myles PS, Sessler DI. PeriOperative Quality Initiative (POQI) international consensus statement on perioperative arterial pressure management. Br J Anaesth 2024; 133:264-276. [PMID: 38839472 PMCID: PMC11282474 DOI: 10.1016/j.bja.2024.04.046] [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: 12/19/2023] [Revised: 03/09/2024] [Accepted: 04/05/2024] [Indexed: 06/07/2024] Open
Abstract
Arterial pressure monitoring and management are mainstays of haemodynamic therapy in patients having surgery. This article presents updated consensus statements and recommendations on perioperative arterial pressure management developed during the 11th POQI PeriOperative Quality Initiative (POQI) consensus conference held in London, UK, on June 4-6, 2023, which included a diverse group of international experts. Based on a modified Delphi approach, we recommend keeping intraoperative mean arterial pressure ≥60 mm Hg in at-risk patients. We further recommend increasing mean arterial pressure targets when venous or compartment pressures are elevated and treating hypotension based on presumed underlying causes. When intraoperative hypertension is treated, we recommend doing so carefully to avoid hypotension. Clinicians should consider continuous intraoperative arterial pressure monitoring as it can help reduce the severity and duration of hypotension compared to intermittent arterial pressure monitoring. Postoperative hypotension is often unrecognised and might be more important than intraoperative hypotension because it is often prolonged and untreated. Future research should focus on identifying patient-specific and organ-specific hypotension harm thresholds and optimal treatment strategies for intraoperative hypotension including choice of vasopressors. Research is also needed to guide monitoring and management strategies for recognising, preventing, and treating postoperative hypotension.
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Affiliation(s)
- Bernd Saugel
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Outcomes Research Consortium, Cleveland, OH, USA.
| | - Nick Fletcher
- Institute of Anesthesia and Critical Care, Cleveland Clinic London, London, UK
| | - Tong J Gan
- Division of Anesthesiology and Perioperative Medicine, Critical Care and Pain Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael P W Grocott
- Perioperative and Critical Care Theme, NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust/University of Southampton, Southampton, UK
| | - Paul S Myles
- Department of Anaesthesiology and Perioperative Medicine, Alfred Hospital and Monash University, Melbourne, VIC, Australia
| | - Daniel I Sessler
- Outcomes Research Consortium, Department of Anesthesiology, Cleveland Clinic, Cleveland, OH, USA
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Sessler DI. The Gathering Storm: The 2023 Rovenstine Lecture. Anesthesiology 2024; 140:1068-1075. [PMID: 38569091 DOI: 10.1097/aln.0000000000004965] [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: 04/05/2024]
Abstract
Anesthesiologists are currently in demand and highly compensated. What appears to be a great success from our perspective is considered problematic from every other healthcare perspective. Consequently, there are powerful healthcare forces seeking to improve anesthesia access and reduce service cost. They will try to impose solutions that may radically change operative anesthesia. The Rovenstine lecture, delivered on World Anesthesia Day 2023, identified substantial challenges our specialty faces and discusses solutions that might be forced on us. It also presented opportunities in perioperative care.
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Affiliation(s)
- Daniel I Sessler
- Outcomes Research Consortium, Department of Anesthesiology, Cleveland Clinic, Cleveland, Ohio
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Upadhyay P, Hicks MH, Khanna AK. Enhanced monitoring for postoperative hospital wards - Evidence to implementation. Indian J Anaesth 2024; 68:511-513. [PMID: 38903260 PMCID: PMC11186533 DOI: 10.4103/ija.ija_360_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 04/11/2024] [Accepted: 04/11/2024] [Indexed: 06/22/2024] Open
Affiliation(s)
- Prateek Upadhyay
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Megan Henley Hicks
- Anesthesiology, Section on Cardiac Anesthesiology and Critical Care Medicine, Atrium Health Wake Forest Baptist Medical Center, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Ashish K. Khanna
- Anesthesiology, Section on Critical Care Medicine, Atrium Health Wake Forest Baptist Medical Center, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA and Outcomes Research Consortium, Cleveland, OH, USA
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Flick M, Lohr A, Weidemann F, Naebian A, Hoppe P, Thomsen KK, Krause L, Kouz K, Saugel B. Post-anesthesia care unit hypotension in low-risk patients recovering from non-cardiac surgery: a prospective observational study. J Clin Monit Comput 2024:10.1007/s10877-024-01176-9. [PMID: 38758404 DOI: 10.1007/s10877-024-01176-9] [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: 02/08/2024] [Accepted: 05/06/2024] [Indexed: 05/18/2024]
Abstract
Intraoperative hypotension is common and associated with organ injury. Hypotension can not only occur during surgery, but also thereafter. After surgery, most patients are treated in post-anesthesia care units (PACU). The incidence of PACU hypotension is largely unknown - presumably in part because arterial pressure is usually monitored intermittently in PACU patients. We therefore aimed to evaluate the incidence, duration, and severity of PACU hypotension in low-risk patients recovering from non-cardiac surgery. In this observational study, we performed blinded continuous non-invasive arterial pressure monitoring with finger-cuffs (ClearSight system; Edwards Lifesciences, Irvine, CA, USA) in 100 patients recovering from non-cardiac surgery in the PACU. We defined PACU hypotension as a mean arterial pressure (MAP) < 65 mmHg. Patients had continuous finger-cuff monitoring for a median (25th percentile, 75th percentile) of 64 (44 to 91) minutes. Only three patients (3%) had PACU hypotension for at least one consecutive minute. These three patients had 4, 4, and 2 cumulative minutes of PACU hypotension; areas under a MAP of 65 mmHg of 17, 9, and 9 mmHg x minute; and time-weighted averages MAP less than 65 mmHg of 0.5, 0.3, and 0.2 mmHg. The median volume of crystalloid fluid patients were given during PACU treatment was 200 (100 to 400) ml. None was given colloids or a vasopressor during PACU treatment. In low-risk patients recovering from non-cardiac surgery, the incidence of PACU hypotension was very low and the few episodes of PACU hypotension were short and of modest severity.
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Affiliation(s)
- Moritz Flick
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anneke Lohr
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Friederike Weidemann
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ashkan Naebian
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Phillip Hoppe
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kristen K Thomsen
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Outcomes Research Consortium, Cleveland, OH, USA
| | - Linda Krause
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Karim Kouz
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Outcomes Research Consortium, Cleveland, OH, USA
| | - Bernd Saugel
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
- Outcomes Research Consortium, Cleveland, OH, USA.
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Rössler J, Shah K, Medellin S, Turan A, Ruetzler K, Singh M, Sessler DI, Maheshwari K. Development and validation of delirium prediction models for noncardiac surgery patients. J Clin Anesth 2024; 93:111319. [PMID: 37984177 DOI: 10.1016/j.jclinane.2023.111319] [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: 09/04/2023] [Revised: 10/20/2023] [Accepted: 11/05/2023] [Indexed: 11/22/2023]
Abstract
STUDY OBJECTIVE Postoperative delirium is associated with morbidity and mortality, and its incidence varies widely. Using known predisposing and precipitating factors, we sought to develop postoperative delirium prediction models for noncardiac surgical patients. DESIGN Retrospective prediction model study. SETTING Major quaternary medical center. PATIENTS Our January 2016 to June 2020 training dataset included 51,677 patients of whom 2795 patients had delirium. Our July 2020 to January 2022 validation dataset included 14,438 patients of whom 912 patients had delirium. INTERVENTIONS None. MEASUREMENTS We trained and validated two static prediction models and one dynamic delirium prediction model. For the static models, we used random survival forests and traditional Cox proportional hazard models to predict postoperative delirium from preoperative variables, or from a combination of preoperative and intraoperative variables. We also used landmark modeling to dynamically predict postoperative delirium using preoperative, intraoperative, and postoperative variables before onset of delirium. MAIN RESULTS In the validation analyses, the static random forest model had a c-statistic of 0.81 (95% CI: 0.79, 0.82) and a Brier score of 0.04 with preoperative variables only, and a c-statistic of 0.86 (95% CI: 0.84, 0.87) and a Brier score of 0.04 when preoperative and intraoperative variables were combined. The corresponding Cox models had similar discrimination metrics with slightly better calibration. The dynamic model - using all available data, i.e., preoperative, intraoperative and postoperative data - had an overall c-index of 0.84 (95% CI: 0.83, 0.85). CONCLUSIONS Using preoperative and intraoperative variables, simple static models performed as well as a dynamic delirium prediction model that also included postoperative variables. Baseline predisposing factors thus appear to contribute far more to delirium after noncardiac surgery than intraoperative or postoperative variables. Improved postoperative data capture may help improve delirium prediction and should be evaluated in future studies.
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Affiliation(s)
- Julian Rössler
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA.
| | - Karan Shah
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA; Department of Quantitative Health Sciences, Cleveland Clinic, OH, USA
| | - Sara Medellin
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA
| | - Alparslan Turan
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA; Department of General Anesthesiology, Cleveland Clinic, Cleveland, OH, USA
| | - Kurt Ruetzler
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA; Department of General Anesthesiology, Cleveland Clinic, Cleveland, OH, USA
| | - Mriganka Singh
- Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, RI, USA; Center on Innovation-Long Term Services and Supports, Providence Veterans Administration Medical Center, Providence, RI, USA
| | - Daniel I Sessler
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA
| | - Kamal Maheshwari
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA; Department of General Anesthesiology, Cleveland Clinic, Cleveland, OH, USA
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7
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Li K, Wang J, Sessler DI. Continuous ward monitoring and intensive postoperative management. Chin Med J (Engl) 2024; 137:631-632. [PMID: 38384165 PMCID: PMC10950178 DOI: 10.1097/cm9.0000000000002997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Indexed: 02/23/2024] Open
Affiliation(s)
- Kai Li
- Department of Anesthesiology, China-Japan Union Hospital, Jilin University, Changchun, Jilin 130031, China
- Department of Outcomes Research, Cleveland Clinic, Cleveland, Ohio 44195, USA
| | - Jiayi Wang
- Outcomes Research Consortium, Cleveland, Ohio 44195, USA
- Department of Outcomes Research, Cleveland Clinic, Cleveland, Ohio 44195, USA
| | - Daniel I. Sessler
- Department of Anesthesiology, Shanghai Ninth People’s Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 201999, China
- Department of Outcomes Research, Cleveland Clinic, Cleveland, Ohio 44195, USA
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Rowland BA, Motamedi V, Michard F, Saha AK, Khanna AK. Impact of continuous and wireless monitoring of vital signs on clinical outcomes: a propensity-matched observational study of surgical ward patients. Br J Anaesth 2024; 132:519-527. [PMID: 38135523 DOI: 10.1016/j.bja.2023.11.040] [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: 07/04/2023] [Revised: 11/21/2023] [Accepted: 11/23/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Continuous and wireless vital sign monitoring is superior to intermittent monitoring in detecting vital sign abnormalities; however, the impact on clinical outcomes has not been established. METHODS We performed a propensity-matched analysis of data describing patients admitted to general surgical wards between January 2018 and December 2019 at a single, tertiary medical centre in the USA. The primary outcome was a composite of in-hospital mortality or ICU transfer during hospitalisation. Secondary outcomes were the odds of individual components of the primary outcome, and heart failure, myocardial infarction, acute kidney injury, and rapid response team activations. Data are presented as odds ratios (ORs) with 95% confidence intervals (CIs) and n (%). RESULTS We initially screened a population of 34,636 patients (mean age 58.3 (Range 18-101) yr, 16,456 (47.5%) women. After propensity matching, intermittent monitoring (n=12 345) was associated with increased risk of a composite of mortality or ICU admission (OR 3.42, 95% CI 3.19-3.67; P<0.001), and heart failure (OR 1.48, 95% CI 1.21-1.81; P<0.001), myocardial infarction (OR 3.87, 95% CI 2.71-5.71; P<0.001), and acute kidney injury (OR 1.32, 95% CI 1.09-1.57; P<0.001) compared with continuous wireless monitoring (n=7955). The odds of rapid response team intervention were similar in both groups (OR 0.86, 95% CI 0.79-1.06; P=0.726). CONCLUSIONS Patients who received continuous ward monitoring were less likely to die or be admitted to ICU than those who received intermittent monitoring. These findings should be confirmed in prospective randomised trials.
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Affiliation(s)
- Bradley A Rowland
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Vida Motamedi
- Wake Forest University School of Medicine, Winston-Salem, NC, USA; Department of Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA; Department of Anesthesiology, Vanderbilt School of Medicine, Nashville, TN, USA
| | | | - Amit K Saha
- Department of Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA; Perioperative Outcomes and Informatics Collaborative (POIC), Winston-Salem, NC, USA; Outcomes Research Consortium, Cleveland, OH, USA
| | - Ashish K Khanna
- Department of Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA; Perioperative Outcomes and Informatics Collaborative (POIC), Winston-Salem, NC, USA; Outcomes Research Consortium, Cleveland, OH, USA.
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9
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Posthuma LM, Breteler MJM, Lirk PB, Nieveen van Dijkum EJ, Visscher MJ, Breel JS, Wensing CAGL, Schenk J, Vlaskamp LB, van Rossum MC, Ruurda JP, Dijkgraaf MGW, Hollmann MW, Kalkman CJ, Preckel B. Surveillance of high-risk early postsurgical patients for real-time detection of complications using wireless monitoring (SHEPHERD study): results of a randomized multicenter stepped wedge cluster trial. Front Med (Lausanne) 2024; 10:1295499. [PMID: 38249988 PMCID: PMC10796990 DOI: 10.3389/fmed.2023.1295499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 12/14/2023] [Indexed: 01/23/2024] Open
Abstract
Background Vital signs measurements on the ward are performed intermittently. This could lead to failure to rapidly detect patients with deteriorating vital signs and worsens long-term outcome. The aim of this study was to test the hypothesis that continuous wireless monitoring of vital signs on the postsurgical ward improves patient outcome. Methods In this prospective, multicenter, stepped-wedge cluster randomized study, patients in the control group received standard monitoring. The intervention group received continuous wireless monitoring of heart rate, respiratory rate and temperature on top of standard care. Automated alerts indicating vital signs deviation from baseline were sent to ward nurses, triggering the calculation of a full early warning score followed. The primary outcome was the occurrence of new disability three months after surgery. Results The study was terminated early (at 57% inclusion) due to COVID-19 restrictions. Therefore, only descriptive statistics are presented. A total of 747 patients were enrolled in this study and eligible for statistical analyses, 517 patients in the control group and 230 patients in the intervention group, the latter only from one hospital. New disability at three months after surgery occurred in 43.7% in the control group and in 39.1% in the intervention group (absolute difference 4.6%). Conclusion This is the largest randomized controlled trial investigating continuous wireless monitoring in postoperative patients. While patients in the intervention group seemed to experience less (new) disability than patients in the control group, results remain inconclusive with regard to postoperative patient outcome due to premature study termination. Clinical trial registration ClinicalTrials.gov, ID: NCT02957825.
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Affiliation(s)
- Linda M. Posthuma
- Department of Anesthesiologie, Amsterdam University Medical Center, Location University of Amsterdam, Amsterdam, Netherlands
| | | | - Philipp B. Lirk
- Department of Anesthesiologie, Amsterdam University Medical Center, Location University of Amsterdam, Amsterdam, Netherlands
- Department of Anesthesiologie, Perioperative and Pain Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Els J. Nieveen van Dijkum
- Department of Surgery, Amsterdam University Medical Center, Location University of Amsterdam, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - Maarten J. Visscher
- Department of Anesthesiologie, Amsterdam University Medical Center, Location University of Amsterdam, Amsterdam, Netherlands
| | - Jennifer S. Breel
- Department of Anesthesiologie, Amsterdam University Medical Center, Location University of Amsterdam, Amsterdam, Netherlands
| | - Carin A. G. L. Wensing
- Department of Anesthesiologie, Amsterdam University Medical Center, Location University of Amsterdam, Amsterdam, Netherlands
| | - Jimmy Schenk
- Department of Anesthesiologie, Amsterdam University Medical Center, Location University of Amsterdam, Amsterdam, Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Location University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Public Health, Quality of Care, Amsterdam, Netherlands
| | - Lyan B. Vlaskamp
- Department of Anesthesiologie, University Medical Center, Utrecht, Netherlands
| | | | - Jelle P. Ruurda
- Department of Gastro-Intestinal and Oncologic Surgery, University Medical Center Utrecht, Utrecht, Netherlands
| | - Marcel G. W. Dijkgraaf
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Location AMC, Amsterdam, Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, Netherlands
| | - Markus W. Hollmann
- Department of Anesthesiologie, Amsterdam University Medical Center, Location University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Public Health, Quality of Care, Amsterdam, Netherlands
| | - Cor J. Kalkman
- Department of Anesthesiologie, University Medical Center, Utrecht, Netherlands
| | - Benedikt Preckel
- Department of Anesthesiologie, Amsterdam University Medical Center, Location University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Public Health, Quality of Care, Amsterdam, Netherlands
- Amsterdam Cardiovascular Science, Diabetes and Metabolism, Amsterdam, Netherlands
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Kjærgaard K, Mølgaard J, Rasmussen SM, Meyhoff CS, Aasvang EK. The effect of technical filtering and clinical criteria on alert rates from continuous vital sign monitoring in the general ward. Hosp Pract (1995) 2023; 51:295-302. [PMID: 38126772 DOI: 10.1080/21548331.2023.2298185] [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: 08/31/2023] [Accepted: 12/19/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVES Continuous vital sign monitoring at the general hospital ward has major potential advantages over intermittent monitoring but generates many alerts with risk of alert fatigue. We hypothesized that the number of alerts would decrease using different filters. METHODS This study was an exploratory analysis of the alert reducing effect from adding two different filters to continuously collected vital sign data (peripheral oxygen saturation, blood pressure, heart rate, and respiratory rate) in patients admitted after major surgery or severe medical disease. Filtered data were compared to data without artifact removal. Filter one consists of artifact removal, filter two consists of artifact removal plus duration criteria adjusted for severity of vital sign deviation. Alert thresholds were based on the National Early Warning Score (NEWS) threshold. RESULTS A population of 716 patients admitted for severe medical disease or major surgery with continuous wireless vital sign monitoring at the general ward with a mean monitoring time of 75.8 h, were included for the analysis. Without artifact removal, we found a median of 137 [IQR: 87-188] alerts per patient/day, artifact removal resulted in a median of 101 [IQR: 56-160] alerts per patient/day and with artifact removal combined with a duration-severity criterion, we found a median of 19 [IQR: 9-34] alerts per patient/day. Reduction of alerts was 86.4% (p < 0.001) for values without artifact removal (137 alerts) vs. the duration criteria and a reduction (19 alerts) of 81.5% (p < 0.001) for the criteria with artifact removal (101 alerts) vs. the duration criteria (19 alerts). CONCLUSION We conclude that a combination of artifact removal and duration-severity criteria approach substantially reduces alerts generated by continuous vital sign monitoring.
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Affiliation(s)
- Karoline Kjærgaard
- Department of Anesthesiology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Jesper Mølgaard
- Department of Anesthesiology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Søren M Rasmussen
- Digital Health Section, Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Christian Sylvest Meyhoff
- Department of Anesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Eske Kvanner Aasvang
- Department of Anesthesiology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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11
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Songthawornpong N, Elvekjaer M, Mølgaard J, Rasmussen SM, Meyhoff CS, Aasvang EK, Eriksen VR. Deviating vital signs in continuous monitoring prior to discharge and risk of readmission: an observational study. Intern Emerg Med 2023; 18:1453-1461. [PMID: 37326796 DOI: 10.1007/s11739-023-03318-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 05/17/2023] [Indexed: 06/17/2023]
Abstract
Premature discharge may result in readmission while longer hospitalization may increase risk of complications such as immobilization and reduce hospital capacity. Continuous monitoring detects more deviating vital signs than intermittent measurements and may help identify patients at risk of deterioration after discharge. We aimed to investigate the association between deviating vital signs detected by continuous monitoring prior to discharge and risk of readmission within 30 days. Patients undergoing elective major abdominal surgery or admitted with acute exacerbation of chronic obstructive pulmonary disease were included in this study. Eligible patients had vital signs monitored continuously within the last 24 h prior to discharge. The association between sustained deviated vital signs and readmission risk was analyzed by using Mann-Whitney's U test and Chi-square test. A total of 51 out of 265 patients (19%) were readmitted within 30 days. Deviated respiratory vital signs occurred frequently in both groups: desaturation < 88% for at least ten minutes was seen in 66% of patients who were readmitted and in 62% of those who were not (p = 0.62) while desaturation < 85% for at least five minutes was seen in 58% of readmitted and 52% of non-readmitted patients (p = 0.5). At least one sustained deviated vital sign was detected in 90% and 85% of readmitted patients and non-readmitted patients, respectively (p = 0.2). Deviating vital signs prior to hospital discharge were frequent but not associated with increased risk of readmission within 30 days. Further exploration of deviating vital signs using continuous monitoring is needed.
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Affiliation(s)
- Nicharatch Songthawornpong
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Bispebjerg, Bakke 23, 2400, Copenhagen, NV, Denmark.
- Copenhagen Center for Translational Research, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.
| | - Mikkel Elvekjaer
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Bispebjerg, Bakke 23, 2400, Copenhagen, NV, Denmark
- Copenhagen Center for Translational Research, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Jesper Mølgaard
- Department of Anaesthesiology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Søren M Rasmussen
- Biomedical Engineering, Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Christian S Meyhoff
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Bispebjerg, Bakke 23, 2400, Copenhagen, NV, Denmark
- Copenhagen Center for Translational Research, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Eske K Aasvang
- Department of Anaesthesiology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Vibeke R Eriksen
- Department of Anaesthesiology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
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12
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Bergholz A, Greiwe G, Kouz K, Saugel B. Continuous Blood Pressure Monitoring in Patients Having Surgery: A Narrative Review. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1299. [PMID: 37512110 PMCID: PMC10385393 DOI: 10.3390/medicina59071299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/11/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023]
Abstract
Hypotension can occur before, during, and after surgery and is associated with postoperative complications. Anesthesiologists should thus avoid profound and prolonged hypotension. A crucial part of avoiding hypotension is accurate and tight blood pressure monitoring. In this narrative review, we briefly describe methods for continuous blood pressure monitoring, discuss current evidence for continuous blood pressure monitoring in patients having surgery to reduce perioperative hypotension, and expand on future directions and innovations in this field. In summary, continuous blood pressure monitoring with arterial catheters or noninvasive sensors enables clinicians to detect and treat hypotension immediately. Furthermore, advanced hemodynamic monitoring technologies and artificial intelligence-in combination with continuous blood pressure monitoring-may help clinicians identify underlying causes of hypotension or even predict hypotension before it occurs.
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Affiliation(s)
- Alina Bergholz
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Gillis Greiwe
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Karim Kouz
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Bernd Saugel
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
- Outcomes Research Consortium, Cleveland, OH 44195, USA
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13
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Peelen RV, Eddahchouri Y, Koeneman M, Melis R, van Goor H, Bredie SJH. Comparing Continuous with Periodic Vital Sign Scoring for Clinical Deterioration Using a Patient Data Model. J Med Syst 2023; 47:60. [PMID: 37154986 PMCID: PMC10167173 DOI: 10.1007/s10916-023-01954-z] [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: 01/16/2023] [Accepted: 04/18/2023] [Indexed: 05/10/2023]
Abstract
To evaluate a minute-by-minute monitoring algorithm against a periodic early warning score (EWS) in detecting clinical deterioration and workload. Periodic EWSs suffer from large measurement intervals, causing late detection of deterioration. This might be prevented by continuous vital sign monitoring with a real-time algorithm such as the Visensia Safety Index (VSI). This prospective comparative data modeling cohort study (NCT04189653) compares continuous algorithmic alerts against periodic EWS in continuous monitored medical and surgical inpatients. We evaluated sensitivity, frequency, number of warnings needed to evaluate (NNE) and time of initial alert till escalation of care (EOC): Rapid Response Team activation, unplanned ICU admission, emergency surgery, or death. Also, the percentage of VSI alerting minutes was compared between patients with or without EOC. In 1529 admissions continuous VSI warned for 55% of EOC (95% CI: 45-64%) versus 51% (95% CI: 41-61%) by periodic EWS. NNE for VSI was 152 alerts per detected EOC (95% CI: 114-190) compared to 21 (95% CI: 17-28). It generated 0.99 warnings per day per patient compared to 0.13. Time from detection score till escalation was 8.3 hours (IQR: 2.6-24.8) with VSI versus 5.2 (IQR: 2.7-12.3) hours with EWS (P=0.074). The percentage of warning VSI minutes was higher in patients with EOC than in stable patients (2.36% vs 0.81%, P<0.001). Although sensitivity of detection was not significantly improved continuous vital sign monitoring shows potential for earlier alerts for deterioration compared to periodic EWS. A higher percentage of alerting minutes may indicate risk for deterioration.
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Affiliation(s)
- Roel V Peelen
- Department of Internal Medicine, Radboud University Medical Center, Geert Grooteplein 8, 6525 GA, Nijmegen, The Netherlands.
| | - Yassin Eddahchouri
- Department of Surgery, Radboud University Medical Center, Geert Grooteplein 8, 6525 GA, Nijmegen, The Netherlands
| | - Mats Koeneman
- Health Innovation Lab, Radboud University Medical Center, Geert Grooteplein 8, 6525 GA, Nijmegen, The Netherlands
| | - René Melis
- Department of Geriatrics, Radboud University Medical Center, Geert Grooteplein 8, 6525 GA, Nijmegen, The Netherlands
| | - Harry van Goor
- Department of Surgery, Radboud University Medical Center, Geert Grooteplein 8, 6525 GA, Nijmegen, The Netherlands
| | - Sebastian J H Bredie
- Department of Internal Medicine, Radboud University Medical Center, Geert Grooteplein 8, 6525 GA, Nijmegen, The Netherlands
- Health Innovation Lab, Radboud University Medical Center, Geert Grooteplein 8, 6525 GA, Nijmegen, The Netherlands
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14
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Ludbrook G, Grocott MPW, Heyman K, Clarke-Errey S, Royse C, Sleigh J, Solomon LB. Outcomes of Postoperative Overnight High-Acuity Care in Medium-Risk Patients Undergoing Elective and Unplanned Noncardiac Surgery. JAMA Surg 2023:2804485. [PMID: 37133876 PMCID: PMC10157507 DOI: 10.1001/jamasurg.2023.1035] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Importance Postoperative complications are increasing, risking patients' health and health care sustainability. High-acuity postoperative units may benefit outcomes, but existing data are very limited. Objective To evaluate whether a new high-acuity postoperative unit, advanced recovery room care (ARRC), reduces complications and health care utilization compared with usual ward care (UC). Design, Setting, and Participants In this observational cohort study, adults who were undergoing noncardiac surgery at a single-center tertiary adult hospital, anticipated to stay in hospital for 2 or more nights, were scheduled for postoperative ward care, and at medium risk (defined as predicted 30-day mortality of 0.7% to 5% by the National Safety Quality Improvement Program risk calculator) were included. Allocation to ARRC was based on bed availability. From 2405 patients assessed for eligibility with National Safety Quality Improvement Program risk scoring, 452 went to ARRC and 419 to UC, with 8 lost to 30-day follow-up. Propensity scoring identified 696 patients with matched pairs. Patients were treated between March and November 2021, and data were analyzed from January to September 2022. Interventions ARRC is an extended postanesthesia care unit (PACU), staffed by anesthesiologists and nurses (1 nurse to 2 patients) collaboratively with surgeons, with capacity for invasive monitoring and vasoactive infusions. ARRC patients were treated until the morning after surgery, then transferred to surgical wards. UC patients were transferred to surgical wards after usual PACU care. Main Outcome and Measures The primary end point was days at home at 30 days. Secondary end points were health facility utilization, medical emergency response (MER)-level complications, and mortality. Analyses compared groups before and after propensity scoring matching. Results Of 854 included patients, 457 (53.5%) were male, and the mean (SD) age was 70.0 (14.4) years. Days at home at 30 days was greater with ARRC compared with UC (mean [SD] time, 17 [11] vs 15 [11] days; P = .04). During the first 24 hours, more patients were identified with MER-level complications in ARRC (43 [12.4%] vs 13 [3.7%]; P < .001), but after return to the ward, these were less frequent from days 2 to 9 (9 [2.6%] vs 22 [6.3%]; P = .03). Length of hospital stay, hospital readmissions, emergency department visits, and mortality were similar. Conclusions and Relevance For medium-risk patients, brief high-acuity care with ARRC allowed enhanced detection and management of early MER-level complications, which was followed by a decreased incidence of subsequent MER-level complications after discharge to the ward and by increased days at home at 30 days.
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Affiliation(s)
- Guy Ludbrook
- Central Adelaide Local Health Network, Adelaide, Australia
- The University of Adelaide, Adelaide, Australia
| | - Michael P W Grocott
- Perioperative and Critical Care Research Theme, Southampton NIHR Biomedical Research Centre, University Hospital Southampton, University of Southampton, Southampton, United Kingdom
| | - Kathy Heyman
- Central Adelaide Local Health Network, Adelaide, Australia
| | - Sandy Clarke-Errey
- Statistical Consulting Centre, The University of Melbourne, Parkville, Australia
| | - Colin Royse
- Department of Surgery, The University of Melbourne, Royal Melbourne Hospital, Parkville, Australia
- Outcomes Research Consortium, Cleveland Clinic, Cleveland, Ohio
| | - Jamie Sleigh
- The University of Auckland, Peter Rothwell Academic Centre, Waikato Hospital, Hamilton West, Hamilton, New Zealand
| | - L Bogdan Solomon
- Central Adelaide Local Health Network, Adelaide, Australia
- The University of Adelaide, Adelaide, Australia
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15
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Skovbye M, Mølgaard J, Rasmussen SM, Sørensen HB, Meyhoff CS, Aasvang EK. The association between vital signs abnormalities during postanaesthesia care unit stay and deterioration in the general ward following major abdominal cancer surgery assessed by continuous wireless monitoring. CRIT CARE RESUSC 2022; 24:330-340. [PMID: 38047011 PMCID: PMC10692640 DOI: 10.51893/2022.4.oa3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Abstract
Objective: Vital signs abnormalities in the post-anaesthesia care unit (PACU) may identify patients at risk of severe postoperative complications in the general ward, but are sparsely investigated by continuous monitoring. We aimed to assess if the severity of vital signs abnormalities in the PACU was correlated to the duration of severe vital signs abnormalities and serious adverse events (SAEs) in the general ward. Design: Prospective cohort study. Primary exposure was PACU vital signs abnormalities assessed by a standardised PACU recovery score. Participants: Adult patients, aged ≥ 60 years, who underwent major abdominal cancer surgery. Main outcome measures: The duration of severe vital signs abnormalities were assessed by continuous wireless vital signs monitoring and, secondly, by any SAE within the first 96 hours in the general ward. Results: One-hundred patients were included, and 92 patients with a median of 91 hours (interquartile range, 71-95 hours) of vital signs recording were analysed. The maximum vital signs abnormalities in the PACU were not significantly correlated to overall vital signs abnormalities in the general ward (R = 0.13; P = 0.22). Severe circulatory abnormalities in the overall PACU stay and at discharge were significantly correlated to the duration of circulatory vital signs abnormalities on the ward (R = 0.32 [P = 0.00021] and R = 0.26 [P = 0.014], respectively). Seventeen patients (18%) experienced SAEs, without significant association to the PACU stay (area under the receiver operating characteristic [AUROC], 0.59; 95% CI, 0.46-0.73). Conclusion: Vital signs abnormalities in the PACU did not show a tendency towards predicting overall severe vital signs abnormalities or SAEs during the first days in the general ward. Circulatory abnormalities in the PACU showed a tendency towards predicting circulatory complications in the ward.
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Affiliation(s)
- Magnus Skovbye
- Department of Anaesthesiology, the Centre for Cancer and Organ Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Jesper Mølgaard
- Department of Anaesthesiology, the Centre for Cancer and Organ Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Søren M. Rasmussen
- Department of Health Technology, Technical University of Denmark, Kgs Lyngby, Denmark
| | - Helge B.D. Sørensen
- Department of Health Technology, Technical University of Denmark, Kgs Lyngby, Denmark
| | - Christian S. Meyhoff
- Department of Anaesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Eske K. Aasvang
- Department of Anaesthesiology, the Centre for Cancer and Organ Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Effect of a Wireless Vital Sign Monitoring System on the Rapid Response System in the General Ward. J Med Syst 2022; 46:64. [PMID: 36018468 PMCID: PMC9418097 DOI: 10.1007/s10916-022-01846-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 07/25/2022] [Indexed: 12/16/2022]
Abstract
While wireless vital sign monitoring is expected to reduce the vital sign measurement time (thus reducing the nursing workload), its impact on the rapid response system is unclear. This study compared the time from vital sign measurement to recording and rapid response system activation between wireless and conventional vital sign monitoring in the general ward, to investigate the impact of wireless vital sign monitoring system on the rapid response system. The study divided 249 patients (age > 18 years; female: 47, male: 202) admitted to the general ward into non-wireless (n = 101) and wireless (n = 148) groups. Intervals from vital sign measurement to recording and from vital sign measurement to rapid response system activation were recorded. Effects of wireless system implementation for vital sign measurement on the nursing workload were surveyed in 30 nurses. The interval from vital sign measurement to recording was significantly shorter in the wireless group than in the non-wireless group (4.3 ± 2.9 vs. 44.7 ± 14.4 min, P < 0.001). The interval from vital sign measurement to rapid response system activation was also significantly lesser in the wireless group than in the non-wireless group (27.5 ± 12.9 vs. 41.8 ± 19.6 min, P = 0.029). The nursing workload related to vital sign measurement significantly decreased from 3 ± 0.87 to 2.4 ± 9.7 (P = 0.021) with wireless system implementation. Wireless vital sign monitoring significantly reduced the time to rapid response system activation by shortening the time required to measure the vital signs. It also significantly reduced the nursing workload.
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Elliott M, Endacott R. The clinical neglect of vital signs' assessment: an emerging patient safety issue? Contemp Nurse 2022; 58:249-252. [PMID: 35924342 DOI: 10.1080/10376178.2022.2109494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE Vital signs assessment is a critical component of acute clinical care. Despite this, research has consistently found that the assessment of these signs is often neglected in clinical practice. This paper highlights three recent cases in the media where the neglect of vital signs assessment resulted in patient mortality. RESULTS Recent media reports highlighted the potentially devastating consequences of vital signs not being rigorously assessed including avoidable death. The public needs to be confident they will receive safe, quality health care when admitted to hospital. CONCLUSION The neglect of vital signs assessment places patients at risk of poor outcomes. Early detection of clinical deterioration via the assessment of vital signs facilitates prompt medical intervention. Factors contributing to the neglect of vital signs assessment need to be identified and corrective action taken to improve the safety of clinical care.
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Affiliation(s)
- Malcolm Elliott
- Senior Lecturer, Monash Nursing & Midwifery, Monash University, Melbourne, Australia
| | - Ruth Endacott
- Professor, Monash Nursing & Midwifery, Monash University, Melbourne, Australia
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18
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Costs, benefits and the prevention of patient deterioration. J Clin Monit Comput 2022; 36:1245-1247. [PMID: 35616798 DOI: 10.1007/s10877-022-00874-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 05/05/2022] [Indexed: 10/18/2022]
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Webster CS, Scheeren TWL, Wan YI. Patient monitoring, wearable devices, and the healthcare information ecosystem. Br J Anaesth 2022; 128:756-758. [PMID: 35365293 DOI: 10.1016/j.bja.2022.02.034] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 02/24/2022] [Accepted: 02/27/2022] [Indexed: 11/28/2022] Open
Abstract
Conventional patient vital signs monitoring fails to detect many signs of patient deterioration, including those in the critical postoperative period. Wearable monitors can allow continuous vital signs monitoring, send data wirelessly to the electronic healthcare record, and reduce the number of unplanned admissions to intensive care.
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Affiliation(s)
- Craig S Webster
- Department of Anaesthesiology, and Centre for Medical and Health Sciences Education, School of Medicine, University of Auckland, Auckland, New Zealand.
| | - Thomas W L Scheeren
- Department of Anesthesiology, University Medical Center Groningen, Groningen, the Netherlands
| | - Yize I Wan
- Adult Critical Care Research Unit, William Harvey Research Institute, Queen Mary University of London, London, UK
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20
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Eddahchouri Y, Peelen RV, Koeneman M, Touw HR, van Goor H, Bredie SJ. Effect of continuous wireless vital sign monitoring on unplanned ICU admissions and rapid response team calls: a before-and-after study. Br J Anaesth 2022; 128:857-863. [DOI: 10.1016/j.bja.2022.01.036] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 01/22/2022] [Accepted: 01/23/2022] [Indexed: 12/16/2022] Open
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Michard F, Thiele RH, Saugel B, Joosten A, Flick M, Khanna AK. Wireless wearables for postoperative surveillance on surgical wards: a survey of 1158 anaesthesiologists in Western Europe and the USA. BJA OPEN 2022; 1:100002. [PMID: 37588692 PMCID: PMC10430871 DOI: 10.1016/j.bjao.2022.100002] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 01/12/2022] [Indexed: 08/18/2023]
Abstract
Background Several continuous monitoring solutions, including wireless wearable sensors, are available or being developed to improve patient surveillance on surgical wards. We designed a survey to understand the current perception and expectations of anaesthesiologists who, as perioperative physicians, are increasingly involved in postoperative care. Methods The survey was shared in 40 university hospitals from Western Europe and the USA. Results From 5744 anaesthesiologists who received the survey link, there were 1158 valid questionnaires available for analysis. Current postoperative surveillance was mainly based on intermittent spot-checks of vital signs every 4-6 h in the USA (72%) and every 8-12 h in Europe (53%). A majority of respondents (91%) considered that continuous monitoring of vital signs should be available on surgical wards and that wireless sensors are preferable to tethered systems (86%). Most respondents indicated that oxygen saturation (93%), heart rate (80%), and blood pressure (71%) should be continuously monitored with wrist devices (71%) or skin adhesive patches (54%). They believed it may help detect clinical deterioration earlier (90%), decrease rescue interventions (59%), and decrease hospital mortality (54%). Opinions diverged regarding the impact on nurse workload (increase 46%, decrease 39%), and most respondents considered that the biggest implementation challenges are economic (79%) and connectivity issues (64%). Conclusion Continuous monitoring of vital signs with wireless sensors is wanted by most anaesthesiologists from university hospitals in Western Europe and in the USA. They believe it may improve patient safety and outcome, but may also be challenging to implement because of cost and connectivity issues.
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Affiliation(s)
| | - Robert H. Thiele
- Department of Anesthesiology, University of Virginia, Charlottesville, VA, USA
| | - Bernd Saugel
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg–Eppendorf, Hamburg, Germany
- Outcomes Research Consortium, Cleveland, OH, USA
| | - Alexandre Joosten
- Department of Anesthesiology, University Paris Saclay, Paul Brousse Hospital, Villejuif, France
| | - Moritz Flick
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg–Eppendorf, Hamburg, Germany
| | - Ashish K. Khanna
- Outcomes Research Consortium, Cleveland, OH, USA
- Department of Anesthesiology, Wake Forest School of Medicine, Winston-Salem, NC, USA
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22
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Michard F. Should we M.O.N.I.T.O.R ward patients differently? Eur J Anaesthesiol 2022; 39:97-99. [PMID: 34799500 DOI: 10.1097/eja.0000000000001613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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One small wearable, one giant leap for patient safety? J Clin Monit Comput 2021; 36:1-4. [PMID: 34665392 PMCID: PMC8525066 DOI: 10.1007/s10877-021-00767-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 10/12/2021] [Indexed: 01/15/2023]
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