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Haddad DN, Meredyth N, Hatchimonji J, Merulla E, Matta A, Saucier J, Sharoky CE, Bass GA, Pascual JL, Martin ND. Racial disparities in end-of-life suffering within surgical intensive care units. Trauma Surg Acute Care Open 2024; 9:e001367. [PMID: 39296594 PMCID: PMC11409343 DOI: 10.1136/tsaco-2024-001367] [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: 01/08/2024] [Accepted: 08/09/2024] [Indexed: 09/21/2024] Open
Abstract
Background End-of-life (EOL) care is associated with high resource utilization. Recognizing and effectively communicating that EOL is near promotes more patient-centered care, while decreasing futile interventions. We hypothesize that provider assessment of futility during the surgical intensive care unit (SICU) admission would result in higher rates of Do Not Resuscitate (DNR). Methods We performed a retrospective review of a prospective SICU registry of all deceased patients across a health system, 2018-2022. The registry included a subjective provider assessment of patient's expected survival. We employed multivariable logistic regression to adjust for clinical factors while assessing for association between code status at death and provider's survival assessment with attention to race-based differences. Results 746 patients-105 (14.1%) traumatically injured and 641 (85.9%) non-traumatically injured-died over 4.5 years in the SICU (mortality rate 5.9%). 26.3% of these deaths were expected by the ICU provider. 40.9% of trauma patients were full code at the time of death, compared with 15.6% of non-traumatically injured patients. Expected death was associated with increased odds of DNR code status for non-traumatically injured patients (OR 1.8, 95% CI 1.03 to 3.18), but not for traumatically injured patients (OR 0.82, 95% CI 0.22 to 3.08). After adjusting for demographic and clinical characteristics, black patients were less likely to be DNR at the time of death (OR 0.49, 95% CI 0.32 to 0.75). Conclusion 20% of patients who died in our SICU had not declared a DNR status, with injured black patients more likely to remain full code at the time of death. Further evaluation of this cohort to optimize recognition and communication of EOL is needed to avoid unnecessary suffering. Level of evidence Level III/prognostic and epidemiological.
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Affiliation(s)
- Diane N Haddad
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nicole Meredyth
- Department of Surgery, Northwestern Medicine, Chicago, Illinois, USA
| | - Justin Hatchimonji
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Elizabeth Merulla
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Amy Matta
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jason Saucier
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Catherine E Sharoky
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Gary Alan Bass
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jose L Pascual
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Niels D Martin
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Mertens V, Cottignie C, van de Wiel M, Vandewoude M, Perkisas S, Roelant E, Moorkens G, Hans G. Comprehensive geriatric assessment as an essential tool to register or update DNR codes in a tertiary care hospital. Eur Geriatr Med 2024; 15:295-303. [PMID: 38277096 DOI: 10.1007/s41999-023-00925-4] [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: 10/06/2023] [Accepted: 12/20/2023] [Indexed: 01/27/2024]
Abstract
PURPOSE To investigate the prevalence of Do not Resuscitate (DNR) code registration in patients with a geriatric profile admitted to Antwerp University Hospital, a tertiary care hospital in Flanders, Belgium, and the impact of comprehensive geriatric assessment (CGA) on DNR code registration. PATIENTS AND METHODS Retrospective analysis of a population of 543 geriatric patients (mean age 82.4 ± 5.19 years, 46.4% males) admitted to Antwerp University Hospital from 2018 to 2020 who underwent a CGA during admission. An association between DNR code registration status before and at hospital admission and age, gender, ethnicity, type of residence, clinical frailty score (CFS), cognitive and oncological status, hospital ward and stay on intensive care was studied. Admissions before and during the first wave of the pandemic were compared. RESULTS At the time of hospital admission, a DNR code had been registered for 66.3% (360/543) of patients. Patients with a DNR code at hospital admission were older (82.7 ± 5.5 vs. 81.7 ± 4.6 years, p = 0.031), more frail (CFS 5.11 ± 1.63 vs. 4.70 ± 1.61, p = 0.006) and less likely to be admitted to intensive care. During the hospital stay, the proportion of patients with a DNR code increased to 77% before and to 85.3% after CGA (p < 0.0001). Patients were consulted about and agreed with the registered DNR code in 55.8% and 52.1% of cases, respectively. The proportion of patients with DNR codes at the time of admission or registered after CGA did not differ significantly before and after the start of the COVID-19 pandemic. CONCLUSION After CGA, a significant increase in DNR registration was observed in hospitalized patients with a geriatric profile.
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Affiliation(s)
- Veerle Mertens
- Department of Geriatrics, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Antwerp, Belgium.
| | - Charlotte Cottignie
- Department of Geriatrics, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Antwerp, Belgium
| | - Mick van de Wiel
- Department of Geriatrics, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Antwerp, Belgium
| | - Maurits Vandewoude
- Department of Geriatrics, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Antwerp, Belgium
| | | | - Ella Roelant
- Clinical Trial Center (CTC), CRC Antwerp, Antwerp University Hospital, University of Antwerp, Antwerp, Belgium
| | - Greta Moorkens
- Department of Internal Medicine, Antwerp University Hospital, Antwerp, Belgium
| | - Guy Hans
- Multidisciplinary Pain Center, Antwerp University Hospital, Antwerp, Belgium
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Ramadan OE, Mady AF, Al-Odat MA, Balshi AN, Aletreby AW, Stephen TJ, Diolaso SR, Gano JQ, Aletreby WT. Diagnostic accuracy of ePOS score in predicting DNR labeling after ICU admission: A prospective observational study (ePOS-DNR). JOURNAL OF INTENSIVE MEDICINE 2024; 4:216-221. [PMID: 38681789 PMCID: PMC11043627 DOI: 10.1016/j.jointm.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/28/2023] [Accepted: 09/14/2023] [Indexed: 05/01/2024]
Abstract
Background Resuscitation can sometimes be futile and making a do-not-resuscitate (DNR) decision is in the best interest of the patient. The electronic poor outcome screening (ePOS) score was developed to predict 6-month poor outcomes of critically ill patients. We explored the diagnostic accuracy of the ePOS score in predicting DNR decisions in the intensive care unit (ICU). Methods This study was conducted at the ICU of a tertiary referral hospital in Saudi Arabia between March and May 2023. Prospectively, we calculated ePOS scores for all eligible consecutive admissions after 48 h in the ICU and recorded the DNR orders. The ability of the score to predict DNR was explored using logistic regression. Youden's ideal cut-off value was calculated using the DeLong method, and different diagnostic accuracy measures were generated with corresponding 95 % confidence intervals (CIs). Results We enrolled 857 patients, 125 received a DNR order and 732 did not. The average ePOS score of DNR and non-DNR patients was 28.2±10.7 and 15.2±9.7, respectively. ePOS score, as a predictor of DNR order, had an area under receiver operator characteristic (AUROC) curve of 81.8 % (95% CI: 79.0 to 84.3, P <0.001). Youden's ideal cut-off value >17 was associated with a sensitivity of 87.2 (95% CI: 80.0 to 92.5, P <0.001), specificity of 63.9 (95% CI: 60.3 to 67.4, P <0.001), positive predictive value of 29.2 (95% CI: 24.6 to 33.8, P <0.001), negative predictive value of 96.7 (95% CI: 95.1 to 98.3, P <0.001), and diagnostic odds ratio 12.1 (95% CI: 7.0 to 20.8, P <0.001). Conclusions In this study, the ePOS score performed well as a diagnostic test for patients who will be labeled as DNR during their ICU stay. A cut-off score >17 may help guide clinical decisions to withhold or commence resuscitative measures.
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Affiliation(s)
- Omar E. Ramadan
- Department of Critical Care, King Saud Medical City, Riyadh, Saudi Arabia
- Anesthesia Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ahmed F. Mady
- Department of Critical Care, King Saud Medical City, Riyadh, Saudi Arabia
- Anesthesia Department, Faculty of Medicine, Tanta University, Tanta, Egypt
| | | | - Ahmed N. Balshi
- Department of Critical Care, King Saud Medical City, Riyadh, Saudi Arabia
| | | | - Taisy J. Stephen
- Department of Critical Care, King Saud Medical City, Riyadh, Saudi Arabia
- Nursing Department, King Saud Medical City, Riyadh, Saudi Arabia
| | - Sheena R. Diolaso
- Department of Critical Care, King Saud Medical City, Riyadh, Saudi Arabia
- Nursing Department, King Saud Medical City, Riyadh, Saudi Arabia
| | - Jennifer Q. Gano
- Department of Critical Care, King Saud Medical City, Riyadh, Saudi Arabia
- Nursing Department, King Saud Medical City, Riyadh, Saudi Arabia
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Sterie AC, Weber O, Jox RJ, Rubli Truchard E. Introducing "A Question That Might, Perhaps, Scare you": How Geriatric Physicians Approach the Discussion About Cardiopulmonary Resuscitation with Hospitalized Patients. HEALTH COMMUNICATION 2023:1-10. [PMID: 37947015 DOI: 10.1080/10410236.2023.2276587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
Decisions about the relevance of life-sustaining treatment, such as cardiopulmonary resuscitation (CPR), are commonly made when a patient is admitted to the hospital. This article aims to refine our understanding of how discussions about CPR are introduced, to identify and classify the components frequently occurring in these introductions, and discuss their implications within the overarching activity (discussing CPR). We recorded 43 discussions about CPR between physicians and patients, taking place during the admission interview. We applied an inductive qualitative content analysis and thematic analysis to all the encounter content from the launch of the conversation on CPR to the point at which the physician formulated a question or the patient an answer. We identified this part of the encounter as the "introduction." This systematic method allowed us to code the material, develop and assign themes and subthemes, and quantify it. We identified four major themes in the introductions: (i) agenda setting; (ii) circumstances leading to CPR (subthemes: types of circumstances, personal prognostics of cardiac arrest); (iii) the activity of addressing CPR with the patient (subthemes: routine, constrain, precedence, sensitivity); and (iv) mentioning advance directives. Our findings reveal the elaborate effort that physicians deploy by appealing to combinations of these themes to account for the need to launch conversations about CPR, and highlight how CPR emerges as a sensitive topic.
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Affiliation(s)
- Anca-Cristina Sterie
- Chair of Geriatric Palliative Care, Palliative and Supportive Care Service and Service of Geriatric Medicine and Geriatric Rehabilitation, Lausanne University Hospital and University of Lausanne
- Service of Palliative and Supportive Care, Lausanne University Hospital and University of Lausanne
| | - Orest Weber
- Liaison Psychiatry Service, Lausanne University Hospital and University of Lausanne
- Department of Language and Information Sciences, Faculty of Arts, University of Lausanne
| | - Ralf J Jox
- Chair of Geriatric Palliative Care, Palliative and Supportive Care Service and Service of Geriatric Medicine and Geriatric Rehabilitation, Lausanne University Hospital and University of Lausanne
- Institute of Humanities in Medicine, Lausanne University Hospital and University of Lausanne
| | - Eve Rubli Truchard
- Chair of Geriatric Palliative Care, Palliative and Supportive Care Service and Service of Geriatric Medicine and Geriatric Rehabilitation, Lausanne University Hospital and University of Lausanne
- Service of Geriatric Medicine and Geriatric Rehabilitation, Lausanne University Hospital and University of Lausanne
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Zhang Y, Rao C, Ran X, Hu H, Jing L, Peng S, Zhu W, Li S. How to predict the death risk after an in-hospital cardiac arrest (IHCA) in intensive care unit? A retrospective double-centre cohort study from a tertiary hospital in China. BMJ Open 2023; 13:e074214. [PMID: 37798030 PMCID: PMC10565198 DOI: 10.1136/bmjopen-2023-074214] [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: 04/03/2023] [Accepted: 08/07/2023] [Indexed: 10/07/2023] Open
Abstract
OBJECTIVES Our objective is to develop a prediction tool to predict the death after in-hospital cardiac arrest (IHCA). DESIGN We conducted a retrospective double-centre observational study of IHCA patients from January 2015 to December 2021. Data including prearrest diagnosis, clinical features of the IHCA and laboratory results after admission were collected and analysed. Logistic regression analysis was used for multivariate analyses to identify the risk factors for death. A nomogram was formulated and internally evaluated by the boot validation and the area under the curve (AUC). Performance of the nomogram was further accessed by Kaplan-Meier survival curves for patients who survived the initial IHCA. SETTING Intensive care unit, Tongji Hospital, China. PARTICIPANTS Adult patients (≥18 years) with IHCA after admission. Pregnant women, patients with 'do not resuscitation' order and patients treated with extracorporeal membrane oxygenation were excluded. INTERVENTIONS None. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome was the death after IHCA. RESULTS Patients (n=561) were divided into two groups: non-sustained return of spontaneous circulation (ROSC) group (n=241) and sustained ROSC group (n=320). Significant differences were found in sex (p=0.006), cardiopulmonary resuscitation (CPR) duration (p<0.001), total duration of CPR (p=0.014), rearrest (p<0.001) and length of stay (p=0.004) between two groups. Multivariate analysis identified that rearrest, duration of CPR and length of stay were independently associated with death. The nomogram including these three factors was well validated using boot calibration plot and exhibited excellent discriminative ability (AUC 0.88, 95% CI 0.83 to 0.93). The tertiles of patients in sustained ROSC group stratified by anticipated probability of death revealed significantly different survival rate (p<0.001). CONCLUSIONS Our proposed nomogram based on these three factors is a simple, robust prediction model to accurately predict the death after IHCA.
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Affiliation(s)
- Youping Zhang
- Department of Emergency Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Caijun Rao
- Department of Geriatric, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiao Ran
- Department of Emergency Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hongjie Hu
- Department of Emergency Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liang Jing
- Department of Emergency Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shu Peng
- Department of Thoracic Surgery, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wei Zhu
- Department of Emergency Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shusheng Li
- Department of Emergency Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Dünser MW, Hirschl D, Weh B, Meier J, Tschoellitsch T. The value of a machine learning algorithm to predict adverse short-term outcome during resuscitation of patients with in-hospital cardiac arrest: a retrospective study. Eur J Emerg Med 2023; 30:252-259. [PMID: 37115946 DOI: 10.1097/mej.0000000000001031] [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: 04/30/2023]
Abstract
Background and importance Guidelines recommend that hospital emergency teams locally validate criteria for termination of cardiopulmonary resuscitation in patients with in-hospital cardiac arrest (IHCA). Objective To determine the value of a machine learning algorithm to predict failure to achieve return of spontaneous circulation (ROSC) and unfavourable functional outcome from IHCA using only data readily available at emergency team arrival. Design Retrospective cohort study. Setting and participants Adults who experienced an IHCA were attended to by the emergency team. Outcome measures and analysis Demographic and clinical data typically available at the arrival of the emergency team were extracted from the institutional IHCA database. In addition, outcome data including the Cerebral Performance Category (CPC) score count at hospital discharge were collected. A model selection procedure for random forests with a hyperparameter search was employed to develop two classification algorithms to predict failure to achieve ROSC and unfavourable (CPC 3-5) functional outcomes. Main results Six hundred thirty patients were included, of which 390 failed to achieve ROSC (61.9%). The final classification model to predict failure to achieve ROSC had an area under the receiver operating characteristic curve of 0.9 [95% confidence interval (CI), 0.89-0.9], a balanced accuracy of 0.77 (95% CI, 0.75-0.79), an F1-score of 0.78 (95% CI, 0.76-0.79), a positive predictive value of 0.88 (0.86-0.91), a negative predictive value of 0.61 (0.6-0.63), a sensitivity of 0.69 (0.66-0.72), and a specificity of 0.84 (0.8-0.88). Five hundred fifty-nine subjects experienced an unfavourable outcome (88.7%). The final classification model to predict unfavourable functional outcomes from IHCA at hospital discharge had an area under the receiver operating characteristic curve of 0.93 (95% CI, 0.92-0.93), a balanced accuracy of 0.59 (95% CI, 0.57-0.61), an F1-score of 0.94 (95% CI, 0.94-0.95), a positive predictive value of 0.91 (0.9-0.91), a negative predictive value of 0.57 (0.48-0.66), a sensitivity of 0.98 (0.97-0.99), and a specificity of 0.2 (0.16-0.24). Conclusion Using data readily available at emergency team arrival, machine learning algorithms had a high predictive power to forecast failure to achieve ROSC and unfavourable functional outcomes from IHCA while cardiopulmonary resuscitation was still ongoing; however, the positive predictive value of both models was not high enough to allow for early termination of resuscitation efforts.
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Affiliation(s)
- Martin W Dünser
- Department of Anesthesiology and Intensive Care Medicine, Kepler University Hospital and Johannes Kepler University, Linz, Austria
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Amacher SA, Blatter R, Briel M, Appenzeller-Herzog C, Bohren C, Becker C, Beck K, Gross S, Tisljar K, Sutter R, Marsch S, Hunziker S. Predicting neurological outcome in adult patients with cardiac arrest: systematic review and meta-analysis of prediction model performance. Crit Care 2022; 26:382. [PMID: 36503620 PMCID: PMC9741710 DOI: 10.1186/s13054-022-04263-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 10/10/2022] [Indexed: 12/14/2022] Open
Abstract
This work aims to assess the performance of two post-arrest (out-of-hospital cardiac arrest, OHCA, and cardiac arrest hospital prognosis, CAHP) and one pre-arrest (good outcome following attempted resuscitation, GO-FAR) prediction model for the prognostication of neurological outcome after cardiac arrest in a systematic review and meta-analysis. A systematic search was conducted in Embase, Medline, and Web of Science Core Collection from November 2006 to December 2021, and by forward citation tracking of key score publications. The search identified 1'021 records, of which 25 studies with a total of 124'168 patients were included in the review. A random-effects meta-analysis of C-statistics and overall calibration (total observed vs. expected [O:E] ratio) was conducted. Discriminatory performance was good for the OHCA (summary C-statistic: 0.83 [95% CI 0.81-0.85], 16 cohorts) and CAHP score (summary C-statistic: 0.84 [95% CI 0.82-0.87], 14 cohorts) and acceptable for the GO-FAR score (summary C-statistic: 0.78 [95% CI 0.72-0.84], five cohorts). Overall calibration was good for the OHCA (total O:E ratio: 0.78 [95% CI 0.67-0.92], nine cohorts) and the CAHP score (total O:E ratio: 0.78 [95% CI 0.72-0.84], nine cohorts) with an overestimation of poor outcome. Overall calibration of the GO-FAR score was poor with an underestimation of good outcome (total O:E ratio: 1.62 [95% CI 1.28-2.04], five cohorts). Two post-arrest scores showed good prognostic accuracy for predicting neurological outcome after cardiac arrest and may support early discussions about goals-of-care and therapeutic planning on the intensive care unit. A pre-arrest score showed acceptable prognostic accuracy and may support code status discussions.
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Affiliation(s)
- Simon A. Amacher
- grid.410567.1Intensive Care, University Hospital Basel, Basel, Switzerland ,grid.410567.1Medical Communication and Psychosomatic Medicine, University Hospital Basel, Klingelbergstrasse 23, 4031 Basel, Switzerland
| | - René Blatter
- grid.410567.1Medical Communication and Psychosomatic Medicine, University Hospital Basel, Klingelbergstrasse 23, 4031 Basel, Switzerland
| | - Matthias Briel
- grid.6612.30000 0004 1937 0642Meta-Research Centre, Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland ,grid.25073.330000 0004 1936 8227Department of Health Research Methodology, Evidence, and Impact, McMaster University, Hamilton, Canada ,grid.6612.30000 0004 1937 0642Medical Faculty, University of Basel, Basel, Switzerland
| | | | - Chantal Bohren
- grid.410567.1Medical Communication and Psychosomatic Medicine, University Hospital Basel, Klingelbergstrasse 23, 4031 Basel, Switzerland
| | - Christoph Becker
- grid.410567.1Medical Communication and Psychosomatic Medicine, University Hospital Basel, Klingelbergstrasse 23, 4031 Basel, Switzerland ,grid.410567.1Department of Emergency Medicine, University Hospital Basel, Basel, Switzerland
| | - Katharina Beck
- grid.410567.1Medical Communication and Psychosomatic Medicine, University Hospital Basel, Klingelbergstrasse 23, 4031 Basel, Switzerland
| | - Sebastian Gross
- grid.410567.1Medical Communication and Psychosomatic Medicine, University Hospital Basel, Klingelbergstrasse 23, 4031 Basel, Switzerland
| | - Kai Tisljar
- grid.410567.1Intensive Care, University Hospital Basel, Basel, Switzerland
| | - Raoul Sutter
- grid.410567.1Intensive Care, University Hospital Basel, Basel, Switzerland ,grid.6612.30000 0004 1937 0642Medical Faculty, University of Basel, Basel, Switzerland
| | - Stephan Marsch
- grid.410567.1Intensive Care, University Hospital Basel, Basel, Switzerland ,grid.6612.30000 0004 1937 0642Medical Faculty, University of Basel, Basel, Switzerland
| | - Sabina Hunziker
- grid.410567.1Medical Communication and Psychosomatic Medicine, University Hospital Basel, Klingelbergstrasse 23, 4031 Basel, Switzerland ,grid.6612.30000 0004 1937 0642Medical Faculty, University of Basel, Basel, Switzerland
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Lauridsen KG, Djärv T, Breckwoldt J, Tjissen JA, Couper K, Greif R. Pre-arrest Prediction of Survival Following In-hospital Cardiac Arrest: A Systematic Review of Diagnostic Test Accuracy Studies. Resuscitation 2022; 179:141-151. [PMID: 35933060 DOI: 10.1016/j.resuscitation.2022.07.041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 07/28/2022] [Accepted: 07/29/2022] [Indexed: 02/01/2023]
Abstract
AIM To evaluate the test accuracy of pre-arrest clinical decision tools for in-hospital cardiac arrest survival outcomes. METHODS We searched Medline, Embase, and Cochrane Library from inception through January 2022 for randomized and non-randomized studies. We used the Quality Assessment of Diagnostic Accuracy Studies framework to evaluate risk of bias, and Grading of Recommendations Assessment, Development and Evaluation methodology to evaluate certainty of evidence. We report sensitivity, specificity, positive predictive outcome, and negative predictive outcome for prediction of survival outcomes. PROSPERO CRD42021268005. RESULTS We searched 2517 studies and included 23 studies using 13 different scores: 12 studies investigating 8 different scores assessing survival outcomes and 11 studies using 5 different scores to predict neurological outcomes. All were historical cohorts/ case control designs including adults only. Test accuracy for each score varied greatly. Across the 12 studies investigating 8 different scores assessing survival to hospital discharge/ 30-day survival, the negative predictive values (NPVs) for the prediction of survival varied from 55.6% to 100%. The GO-FAR score was evaluated in 7 studies with NPVs for survival with cerebral performance category (CPC) 1 ranging from 95.0% to 99.2%. Two scores assessed survival with CPC ≤2 and these were not externally validated. Across all prediction scores, certainty of evidence was rated as very low. CONCLUSIONS We identified very low certainty evidence across 23 studies for 13 different pre-arrest prediction scores to outcome following IHCA. No score was sufficiently reliable to support its use in clinical practice. We identified no evidence for children.
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Affiliation(s)
- Kasper G Lauridsen
- Research Center for Emergency Medicine, Aarhus University Hospital, Aarhus, Denmark; Emergency Department, Randers Regional Hospital, Randers, Denmark; Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, U.S.A.
| | - Therese Djärv
- Medical Unit of Emergency Medicine, Karolinska University Hospital, Stockholm, Sweden; Center for Resuscitation Science, Karolinska Institutet, Stockholm, Sweden
| | - Jan Breckwoldt
- Institute of Anesthesiology, Zurich University Hospital, Zurich, Switzerland
| | - Janice A Tjissen
- Department of Paediatrics, University of Western Ontario, London, Canada
| | - Keith Couper
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, United Kingdom; Critical care unit, University Hospitals Birmingham NHS Foundation Trust, Birmingham. United Kingdom
| | - Robert Greif
- Department of Anesthesiology and Pain Therapy, Bern University Hospital, Inselspital, University of Bern, Bern, Switzerland; School of Medicine, Sigmund Freud University Vienna, Vienna, Austria
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Jonsson H, Piscator E, Israelsson J, Lilja G, Djärv T. Is frailty associated with long-term survival, neurological function and patient-reported outcomes after in-hospital cardiac arrest? - A Swedish cohort study. Resuscitation 2022; 179:233-242. [PMID: 35843406 DOI: 10.1016/j.resuscitation.2022.07.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 06/20/2022] [Accepted: 07/09/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Frailty is associated with poor 30-days survival after in-hospital cardiac arrests (IHCA). The aim was to assess how pre-arrest frailty was associated with long-term survival, neurological function and patient-reported outcomes in elderly survivors after IHCA. METHODS Patients aged ≥65 years with IHCA at Karolinska University Hospital between 2013-2021 were studied. Frailty was assessed by the Clinical Frailty Scale (CFS) based on clinical records and categorised into non-frail (1-4) or frail (5-7). Survival was assessed in days. Neurological function was assessed by the Cerebral Performance Category scale (CPC). A telephone interview was performed six months post-IHCA and included the questionnaires EuroQoL-5 Dimensions-5 Levels and Hospital Anxiety and Depression Scale. RESULTS Totally, 232 (28%) out of 817 eligible patients survived to 30-days. Out of 232, 65 (28%) were frail. Long-term survival was better for non-frail than frail patients (6months (92% versus 75%, p-value <0.01), 3 years (74% vs 22%, p-value <0.01)). The vast majority of both non-frail and frail patients had unchanged CPC from admittance to discharge from hospital (87% and 85%, respectively). The 121 non-frail patients reported better health compared to 27 frail patients (EQ-VAS median 70 versus 50 points, p-value <0.01) and less symptoms of depression than frail (16% and 52%, respectively, p-value <0.01). CONCLUSION Frail patients suffering IHCA survived with largely unchanged neurological function. Although one in five frail patients survived to three years, frailty was associated with a marked decrease in long-term survival as well as increased symptoms of depression and poorer general health.
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Affiliation(s)
- Hanna Jonsson
- Medical Unit Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Eva Piscator
- Department of Emergency Medicine, Capio S:t Görans Hospital, Stockholm, Sweden; Dept of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Johan Israelsson
- Department of Internal Medicine, Division of Cardiology, Kalmar County Hospital, Region Kalmar County, Kalmar, Sweden; Faculty of Health and Life Sciences, Linnaeus University, Kalmar, Sweden
| | - Gisela Lilja
- Neurology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Therese Djärv
- Dept of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Medical Unit Acute/Emergency Department, Karolinska University Hospital, Stockholm, Sweden.
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Resuscitation highlights in 2021. Resuscitation 2022; 172:64-73. [PMID: 35077856 DOI: 10.1016/j.resuscitation.2022.01.015] [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: 01/16/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND This review is the latest in a series of regular annual reviews undertaken by the editors and aims to highlight some of the key papers published in Resuscitation during 2021. METHODS Hand-searching by the editors of all papers published in Resuscitation during 2021. Papers were selected based on then general interest and novelty and were categorised into themes. RESULTS 98 papers were selected for brief mention. CONCLUSIONS Resuscitation science continues to evolve and incorporates all links in the chain of survival.
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