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Benaïs M, Duprey M, Federici L, Arnaout M, Mora P, Amouretti M, Bourgeon-Ghittori I, Gaudry S, Garçon P, Reuter D, Geri G, Megarbane B, Lebut J, Mekontso-Dessap A, Ricard JD, da Silva D, de Montmollin E. Association of socioeconomic deprivation with outcomes in critically ill adult patients: an observational prospective multicenter cohort study. Ann Intensive Care 2024; 14:54. [PMID: 38592412 PMCID: PMC11004098 DOI: 10.1186/s13613-024-01279-1] [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: 11/23/2023] [Accepted: 03/18/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND The influence of socioeconomic deprivation on health inequalities is established, but its effect on critically ill patients remains unclear, due to inconsistent definitions in previous studies. METHODS Prospective multicenter cohort study conducted from March to June 2018 in eight ICUs in the Greater Paris area. All admitted patients aged ≥ 18 years were enrolled. Socioeconomic phenotypes were identified using hierarchical clustering, based on education, health insurance, income, and housing. Association of phenotypes with 180-day mortality was assessed using Cox proportional hazards models. RESULTS A total of 1,748 patients were included. Median age was 62.9 [47.4-74.5] years, 654 (37.4%) patients were female, and median SOFA score was 3 [1-6]. Study population was clustered in five phenotypes with increasing socioeconomic deprivation. Patients from phenotype A (n = 958/1,748, 54.8%) were without socioeconomic deprivation, patients from phenotype B (n = 273/1,748, 15.6%) had only lower education levels, phenotype C patients (n = 117/1,748, 6.7%) had a cumulative burden of 1[1-2] deprivations and all had housing deprivation, phenotype D patients had 2 [1-2] deprivations, all of them with income deprivation, and phenotype E patients (n = 93/1,748, 5.3%) included patients with 3 [2-4] deprivations and included all patients with health insurance deprivation. Patients from phenotypes D and E were younger, had fewer comorbidities, more alcohol and opiate use, and were more frequently admitted due to self-harm diagnoses. Patients from phenotype C (predominant housing deprivation), were more frequently admitted with diagnoses related to chronic respiratory diseases and received more non-invasive positive pressure ventilation. Following adjustment for age, sex, alcohol and opiate use, socioeconomic phenotypes were not associated with increased 180-day mortality: phenotype A (reference); phenotype B (hazard ratio [HR], 0.85; 95% confidence interval CI 0.65-1.12); phenotype C (HR, 0.56; 95% CI 0.34-0.93); phenotype D (HR, 1.09; 95% CI 0.78-1.51); phenotype E (HR, 1.20; 95% CI 0.73-1.96). CONCLUSIONS In a universal health care system, the most deprived socioeconomic phenotypes were not associated with increased 180-day mortality. The most disadvantaged populations exhibit distinct characteristics and medical conditions that may be addressed through targeted public health interventions.
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Affiliation(s)
- Morgan Benaïs
- Service de Médecine Intensive - Réanimation, Hôpital Delafontaine, Saint-Denis, France
| | - Matthieu Duprey
- Service de Réanimation, Grand Hôpital de l'Est Francilien-Site de Marne-la-Vallée, Jossigny, France
| | - Laura Federici
- Service de Réanimation Polyvalente, Centre Hospitalier Sud Francilien, Corbeil-Essonnes, France
| | - Michel Arnaout
- Service de Médecine Intensive - Réanimation, AP-HP, Hôpital Ambroise Paré, Boulogne, France
| | - Pierre Mora
- Service de Médecine Intensive - Réanimation, AP-HP, Hôpital Lariboisière, Paris, France
| | - Marc Amouretti
- Service de Réanimation Polyvalente, Groupe Hospitalier Nord-Essonne, Longjumeau, France
| | - Irma Bourgeon-Ghittori
- Service de Médecine Intensive - Réanimation, AP-HP, Hôpital Henri Mondor, Créteil, France
| | - Stéphane Gaudry
- DMU ESPRIT, Service de Médecine Intensive - Réanimation, AP-HP, Hôpital Louis Mourier, Colombes, France
| | - Pierre Garçon
- Service de Réanimation, Grand Hôpital de l'Est Francilien-Site de Marne-la-Vallée, Jossigny, France
| | - Danielle Reuter
- Service de Réanimation Polyvalente, Centre Hospitalier Sud Francilien, Corbeil-Essonnes, France
| | - Guillaume Geri
- Service de Médecine Intensive - Réanimation, AP-HP, Hôpital Ambroise Paré, Boulogne, France
| | - Bruno Megarbane
- Service de Médecine Intensive - Réanimation, AP-HP, Hôpital Lariboisière, Paris, France
| | - Jordane Lebut
- Service de Réanimation Polyvalente, Groupe Hospitalier Nord-Essonne, Longjumeau, France
| | - Armand Mekontso-Dessap
- Service de Médecine Intensive - Réanimation, AP-HP, Hôpital Henri Mondor, Créteil, France
| | - Jean-Damien Ricard
- DMU ESPRIT, Service de Médecine Intensive - Réanimation, AP-HP, Hôpital Louis Mourier, Colombes, France
- IAME, Université Paris Cité and Université Sorbonne Paris Nord, Inserm, 75018, Paris, France
| | - Daniel da Silva
- Service de Médecine Intensive - Réanimation, Hôpital Delafontaine, Saint-Denis, France
| | - Etienne de Montmollin
- Service de Médecine Intensive - Réanimation, Hôpital Delafontaine, Saint-Denis, France.
- IAME, Université Paris Cité and Université Sorbonne Paris Nord, Inserm, 75018, Paris, France.
- Service de Médecine Intensive - Réanimation Infectieuse, AP-HP, Hôpital Bichat-Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France.
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Declercq PL, Fournel I, Demeyere M, Berraies A, Ksiazek E, Nyunga M, Daubin C, Ampere A, Sauneuf B, Badie J, Delbove A, Nseir S, Artaud-Macari E, Bironneau V, Ramakers M, Maizel J, Miailhe AF, Lacombe B, Delberghe N, Oulehri W, Georges H, Tchenio X, Clarot C, Redureau E, Bourdin G, Federici L, Adda M, Schnell D, Bousta M, Salmon-Gandonnière C, Vanderlinden T, Plantefeve G, Delacour D, Delpierre C, Le Bouar G, Sedillot N, Beduneau G, Rivière A, Meunier-Beillard N, Gélinotte S, Rigaud JP, Labruyère M, Georges M, Binquet C, Quenot JP. Influence of socio-economic status on functional recovery after ARDS caused by SARS-CoV-2: the multicentre, observational RECOVIDS study. Intensive Care Med 2023; 49:1168-1180. [PMID: 37620561 PMCID: PMC10556111 DOI: 10.1007/s00134-023-07180-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 07/28/2023] [Indexed: 08/26/2023]
Abstract
PURPOSE Survivors after acute respiratory distress syndrome (ARDS) due to coronavirus disease 2019 (COVID-19) are at high risk of developing respiratory sequelae and functional impairment. The healthcare crisis caused by the pandemic hit socially disadvantaged populations. We aimed to evaluate the influence of socio-economic status on respiratory sequelae after COVID-19 ARDS. METHODS We carried out a prospective multicenter study in 30 French intensive care units (ICUs), where ARDS survivors were pre-enrolled if they fulfilled the Berlin ARDS criteria. For patients receiving high flow oxygen therapy, a flow ≥ 50 l/min and an FiO2 ≥ 50% were required for enrollment. Socio-economic deprivation was defined by an EPICES (Evaluation de la Précarité et des Inégalités de santé dans les Centres d'Examens de Santé - Evaluation of Deprivation and Inequalities in Health Examination Centres) score ≥ 30.17 and patients were included if they performed the 6-month evaluation. The primary outcome was respiratory sequelae 6 months after ICU discharge, defined by at least one of the following criteria: forced vital capacity < 80% of theoretical value, diffusing capacity of the lung for carbon monoxide < 80% of theoretical value, oxygen desaturation during a 6-min walk test and fibrotic-like findings on chest computed tomography. RESULTS Among 401 analyzable patients, 160 (40%) were socio-economically deprived and 241 (60%) non-deprived; 319 (80%) patients had respiratory sequelae 6 months after ICU discharge (81% vs 78%, deprived vs non-deprived, respectively). No significant effect of socio-economic status was identified on lung sequelae (odds ratio (OR), 1.19 [95% confidence interval (CI), 0.72-1.97]), even after adjustment for age, sex, most invasive respiratory support, obesity, most severe P/F ratio (adjusted OR, 1.02 [95% CI 0.57-1.83]). CONCLUSIONS In COVID-19 ARDS survivors, socio-economic status had no significant influence on respiratory sequelae 6 months after ICU discharge.
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Affiliation(s)
| | - Isabelle Fournel
- Centre d’Investigation Clinique, CHU Dijon, Dijon, France
- INSERM, CIC 1432, Module Epidémiologie Clinique, Dijon, France
| | | | | | - Eléa Ksiazek
- Centre d’Investigation Clinique, CHU Dijon, Dijon, France
- INSERM, CIC 1432, Module Epidémiologie Clinique, Dijon, France
| | - Martine Nyunga
- Service de Médecine Intensive Réanimation, CH de Roubaix, Roubaix, France
| | - Cédric Daubin
- Department of Medical Intensive Care, CHU de Caen Normandie, Caen, France
| | | | - Bertrand Sauneuf
- Service de Médecine Intensive Réanimation, CH Public du Cotentin, Cherbourg-en-Cotentin, France
| | - Julio Badie
- Service de Médecine Intensive Réanimation, Hopital Nord Franche-Comte, Trevenans, France
| | - Agathe Delbove
- Service de Réanimation Polyvalente, CHBA Vannes, Vannes, France
| | - Saad Nseir
- Service de Médecine Intensive Réanimation, CHRU Roger Salengro, Lille, France
- Inserm U1285, Univ. Lille, CNRS, UMR 8576-UGSF-Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France
| | - Elise Artaud-Macari
- University of Normandie, UNIROUEN, EA3830, CHU Rouen, Department of Pneumology, Thoracic Oncology and Respiratory Intensive Care Unit, Rouen, France
| | - Vanessa Bironneau
- Service de Pneumologie, CHU Poitiers, Poitiers, France
- INSERM CIC 1402, ALIVES Research Group, Université de Poitiers, Poitiers, France
| | - Michel Ramakers
- Service de Médecine Intensive Réanimation, Centre Hospitalier Mémorial de Saint-Lô, Saint-Lô, France
| | - Julien Maizel
- Service de Médecine Intensive Réanimation, CHU d’Amiens, Amiens, France
| | | | - Béatrice Lacombe
- Service de Réanimation Polyvalente, Groupe Hospitalier Bretagne Sud, Lorient, France
| | | | - Walid Oulehri
- Service de Réanimation Chirurgicale, CHRU Strasbourg, Strasbourg, France
| | - Hugues Georges
- Service de Médecine Intensive Réanimation, CH de Tourcoing, Tourcoing, France
| | - Xavier Tchenio
- Service de Réanimation Polyvalente, Centre Hospitalier Fleyriat, Bourg en Bresse, France
| | | | - Elise Redureau
- Service de Pneumologie, CHD Vendée, La Roche-sur-Yon, France
| | - Gaël Bourdin
- Service de Réanimation Polyvalente, CH Saint Joseph Saint Luc, Lyon, France
| | - Laura Federici
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Louis Mourier, Colombes, France
| | - Mélanie Adda
- Service de Médecine Intensive Réanimation, Hôpitaux de Marseille, Hôpital Nord, Marseille, France
| | - David Schnell
- Service de Réanimation Polyvalente et USC, CH d’Angoulême, Angoulême, France
| | - Mehdi Bousta
- Service de Réanimation Médico-Chirugicale, Groupe Hospitalier du Havre, Le Havre, France
| | | | - Thierry Vanderlinden
- Intensive Care Unit, St Philibert hospital, ETHICS EA 7446, Lille Catholic University, Lille, France
| | - Gaëtan Plantefeve
- Service de Médecine Intensive Réanimation, CH d’Argenteuil, Argenteuil, France
| | - David Delacour
- Service de radiologie, Clinique du Cèdre, Bois-Guillaume, France
| | | | - Gurvan Le Bouar
- Service de Médecine Intensive Réanimation, CHES Evreux, Evreux, France
| | - Nicholas Sedillot
- Service de Réanimation Polyvalente, Centre Hospitalier Fleyriat, Bourg en Bresse, France
| | - Gaëtan Beduneau
- Normandie Univ, UNIROUEN, UR3830, CHU Rouen, Department of Medical Intensive Care, 76000 Rouen, France
| | - Antoine Rivière
- Service de Réanimation Polyvalente, CH d’Abbeville, Abbeville, France
| | - Nicolas Meunier-Beillard
- Centre d’Investigation Clinique, CHU Dijon, Dijon, France
- INSERM, CIC 1432, Module Epidémiologie Clinique, Dijon, France
| | | | - Jean-Philippe Rigaud
- Service de Médecine Intensive Réanimation, CH de Dieppe, Dieppe, France
- Espace de Réflexion Ethique de Normandie, CHU Caen, Caen, France
| | - Marie Labruyère
- Department of Intensive Care, Burgundy University Hospital, 14 rue Paul Gaffarel, B.P 77908, 21079 Dijon Cedex, France
- Lipness Team, INSERM Research Center LNC-UMR1231 and LabEx LipSTIC, University of Burgundy, Dijon, France
- INSERM CIC 1432, Clinical Epidemiology, University of Burgundy, Dijon, France
| | - Marjolaine Georges
- Department of Pulmonary Medicine and Intensive Care Unit, University Hospital, Dijon, France
| | - Christine Binquet
- Centre d’Investigation Clinique, CHU Dijon, Dijon, France
- INSERM, CIC 1432, Module Epidémiologie Clinique, Dijon, France
| | - Jean-Pierre Quenot
- Department of Intensive Care, Burgundy University Hospital, 14 rue Paul Gaffarel, B.P 77908, 21079 Dijon Cedex, France
- Lipness Team, INSERM Research Center LNC-UMR1231 and LabEx LipSTIC, University of Burgundy, Dijon, France
- INSERM CIC 1432, Clinical Epidemiology, University of Burgundy, Dijon, France
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Mehta AB, Taylor JK, Day G, Lane TC, Douglas IS. Disparities in Adult Patient Selection for Extracorporeal Membrane Oxygenation in the United States: A Population-Level Study. Ann Am Thorac Soc 2023; 20:1166-1174. [PMID: 37021958 PMCID: PMC10405618 DOI: 10.1513/annalsats.202212-1029oc] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 04/05/2023] [Indexed: 04/07/2023] Open
Abstract
Rationale: Disparities in patient selection for advanced therapeutics in health care have been identified in multiple studies, but it is unclear if disparities exist in patient selection for extracorporeal membrane oxygenation (ECMO), a rapidly expanding critical care resource. Objectives: To determine if disparities exist in patient selection for ECMO based on sex, primary insurance, and median income of the patient's neighborhood. Methods: In a retrospective cohort study using the Nationwide Readmissions Database 2016-2019, we identified patients treated with mechanical ventilation (MV) and/or ECMO with billing codes. Patient sex, insurance, and income level for patients receiving ECMO were compared with the patients treated with MV only, and hierarchical logistic regression with the hospital as a random intercept was used to determine odds of receiving ECMO based on patient demographics. Results: We identified 2,170,752 MV hospitalizations with 18,725 cases of ECMO. Among patients treated with ECMO, 36.1% were female compared with 44.5% of patients treated with> MV only (adjusted odds ratio [aOR] for ECMO, 0.73; 95% confidence interval [CI], 0.70-0.75). Of patients treated with ECMO, 38.1% had private insurance compared with 17.4% of patients treated with MV only. Patients with Medicaid were less likely to receive ECMO than patients with private insurance (aOR, 0.55; 95% CI, 0.52-0.57). Patients treated with ECMO were more likely to live in the highest-income neighborhoods compared with patients treated with MV only (25.1% vs. 17.3%). Patients living in the lowest-income neighborhoods were less likely to receive ECMO than those living in the highest-income neighborhoods (aOR, 0.63; 95% CI, 0.60-0.67). Conclusions: Significant disparities exist in patient selection for ECMO. Female patients, patients with Medicaid, and patients living in the lowest-income neighborhoods are less likely to be treated with ECMO. Despite possible unmeasured confounding, these findings were robust to multiple sensitivity analyses. On the basis of previous work describing disparities in other areas of health care, we speculate that limited access in some neighborhoods, restrictive/biased interhospital transfer practices, differences in patient preferences, and implicit provider bias may contribute to the observed differences. Future studies with more granular data are needed to identify and modify drivers of observed disparities.
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Affiliation(s)
- Anuj B. Mehta
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Denver Health Hospital Association, Denver, Colorado; and
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, Colorado
| | - Jennifer K. Taylor
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado
| | - Gwenyth Day
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado
| | - Trevor C. Lane
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado
| | - Ivor S. Douglas
- Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Denver Health Hospital Association, Denver, Colorado; and
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4
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Lusk JB, Blass B, Mahoney H, Hoffman MN, Clark AG, Bae J, Ashana DC, Cox CE, Hammill BG. Neighborhood socioeconomic deprivation, healthcare access, and 30-day mortality and readmission after sepsis or critical illness: findings from a nationwide study. Crit Care 2023; 27:287. [PMID: 37454127 PMCID: PMC10349422 DOI: 10.1186/s13054-023-04565-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/06/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND To determine if neighborhood socioeconomic deprivation independently predicts 30-day mortality and readmission for patients with sepsis or critical illness after adjusting for individual poverty, demographics, comorbidity burden, access to healthcare, and characteristics of treating healthcare facilities. METHODS We performed a nationwide study of United States Medicare beneficiaries from 2017 to 2019. We identified hospitalized patients with severe sepsis and patients requiring prolonged mechanical ventilation, tracheostomy, or extracorporeal membrane oxygenation (ECMO) through Diagnosis Related Groups (DRGs). We estimated the association between neighborhood socioeconomic deprivation, measured by the Area Deprivation Index (ADI), and 30-day mortality and unplanned readmission using logistic regression models with restricted cubic splines. We sequentially adjusted for demographics, individual poverty, and medical comorbidities, access to healthcare services; and characteristics of treating healthcare facilities. RESULTS A total of 1,526,405 admissions were included in the mortality analysis and 1,354,548 were included in the readmission analysis. After full adjustment, 30-day mortality for patients was higher for those from most-deprived neighborhoods (ADI 100) compared to least deprived neighborhoods (ADI 1) for patients with severe sepsis (OR 1.35 95% [CI 1.29-1.42]) or with prolonged mechanical ventilation with or without sepsis (OR 1.42 [95% CI 1.31, 1.54]). This association was linear and dose dependent. However, neighborhood socioeconomic deprivation was not associated with 30-day unplanned readmission for patients with severe sepsis and was inversely associated with readmission for patients requiring prolonged mechanical ventilation with or without sepsis. CONCLUSIONS A strong association between neighborhood socioeconomic deprivation and 30-day mortality for critically ill patients is not explained by differences in individual poverty, demographics, measured baseline medical risk, access to healthcare resources, or characteristics of treating hospitals.
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Affiliation(s)
- Jay B Lusk
- Duke University School of Medicine, Durham, NC, USA
- Duke University Fuqua School of Business, Durham, NC, USA
| | - Beau Blass
- Duke University School of Medicine, Durham, NC, USA
| | - Hannah Mahoney
- Duke University Department of Population Health Sciences, 215 Morris St, Durham, NC, 27701, USA
| | - Molly N Hoffman
- Duke University Department of Population Health Sciences, 215 Morris St, Durham, NC, 27701, USA
| | - Amy G Clark
- Duke University Department of Population Health Sciences, 215 Morris St, Durham, NC, 27701, USA
| | - Jonathan Bae
- Duke University Health System, Durham, NC, USA
- Duke University Department of Medicine, Durham, NC, USA
| | | | | | - Bradley G Hammill
- Duke University School of Medicine, Durham, NC, USA.
- Duke University Department of Population Health Sciences, 215 Morris St, Durham, NC, 27701, USA.
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5
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McHenry RD, Moultrie CEJ, Quasim T, Mackay DF, Pell JP. Association Between Socioeconomic Status and Outcomes in Critical Care: A Systematic Review and Meta-Analysis. Crit Care Med 2023; 51:347-356. [PMID: 36728845 DOI: 10.1097/ccm.0000000000005765] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVES Socioeconomic status is well established as a key determinant of inequalities in health outcomes. Existing literature examining the impact of socioeconomic status on outcomes in critical care has produced inconsistent findings. Our objective was to synthesize the available evidence on the association between socioeconomic status and outcomes in critical care. DATA SOURCES A systematic search of CINAHL, Ovid MEDLINE, and EMBASE was undertaken on September 13, 2022. STUDY SELECTION Observational cohort studies of adults assessing the association between socioeconomic status and critical care outcomes including mortality, length of stay, and functional outcomes were included. Two independent reviewers assessed titles, abstracts, and full texts against eligibility and quality criteria. DATA EXTRACTION Details of study methodology, population, exposure measures, and outcomes were extracted. DATA SYNTHESIS Thirty-eight studies met eligibility criteria for systematic review. Twenty-three studies reporting mortality to less than or equal to 30 days following critical care admission, and eight reporting length of stay, were included in meta-analysis. Random-effects pooled analysis showed that lower socioeconomic status was associated with higher mortality at less than or equal to 30 days following critical care admission, with pooled odds ratio of 1.13 (95% CIs, 1.05-1.22). Meta-analysis of ICU length of stay demonstrated no significant difference between socioeconomic groups. Socioeconomic status may also be associated with functional status and discharge destination following ICU admission. CONCLUSIONS Lower socioeconomic status was associated with higher mortality following admission to critical care.
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Affiliation(s)
- Ryan D McHenry
- ScotSTAR, Scottish Ambulance Service, Glasgow, United Kingdom
| | | | - Tara Quasim
- School of Medicine, Dentistry & Nursing, Academic Unit of Anaesthesia, Critical Care and Perioperative Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Daniel F Mackay
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
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Taha A, Jacquier M, Meunier-Beillard N, Ecarnot F, Andreu P, Roudaut JB, Labruyère M, Rigaud JP, Quenot JP. Anticipating need for intensive care in the healthcare trajectory of patients with chronic disease: A qualitative study among specialists. PLoS One 2022; 17:e0274936. [PMID: 36121869 PMCID: PMC9484637 DOI: 10.1371/journal.pone.0274936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 09/08/2022] [Indexed: 12/16/2022] Open
Abstract
Introduction We investigated the reflections and perceptions of non-ICU physicians about anticipating the need for ICU admission in case of acute decompensation in patients with chronic disease. Methods We performed a qualitative multicentre study using semi-structured interviews among non-ICU specialist physicians. The interview guide, developed in advance, focused on 3 questions: (1) What is your perception of ICU care? (2) How do you think advance directives can be integrated into the patient’s healthcare goals? and (3) How can the possibility of a need for ICU admission be integrated into the patient’s healthcare goals? Interviews were recorded, transcribed and analysed by thematic analysis. Interviews were performed until theoretical saturation was reached. Results In total, 16 physicians (8 women, 8 men) were interviewed. The main themes related to intensive care being viewed as a distinct specialty, dispensing very technical care, and with major human and ethical challenges, especially regarding end-of-life issues. The participants also mentioned the difficulty in anticipating an acute decompensation, and the choices that might have to be made in such situations. The timing of discussions about potential decompensation of the patient, the medical culture and the presence of advance directives are issues that arise when attempting to anticipate the question of ICU admission in the patient’s healthcare goals or wishes. Conclusion This study describes the perceptions that physicians treating patients with chronic disease have of intensive care, notably that it is a distinct and technical specialty that presents challenging medical and ethical situations. Our study also opens perspectives for actions that could promote a pluridisciplinary approach to anticipating acute decompensation and ICU requirements in patients with chronic disease.
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Affiliation(s)
- Alicia Taha
- Service de Médecine Intensive-Réanimation, CHU Dijon-Bourgogne, Dijon, France
| | - Marine Jacquier
- Service de Médecine Intensive-Réanimation, CHU Dijon-Bourgogne, Dijon, France
- Equipe Lipness, Centre de Recherche INSERM UMR1231 et LabEx LipSTIC, Université de Bourgogne-Franche Comté, Dijon, France
| | - Nicolas Meunier-Beillard
- INSERM, CIC 1432, Module Épidémiologie Clinique, Université de Bourgogne-Franche Comté, Dijon, France
- DRCI, USMR, CHU Dijon Bourgogne, Dijon, France
| | - Fiona Ecarnot
- EA3920, Department of Cardiology, University Hospital Besancon, Besançon, France
| | - Pascal Andreu
- Service de Médecine Intensive-Réanimation, CHU Dijon-Bourgogne, Dijon, France
| | | | - Marie Labruyère
- Service de Médecine Intensive-Réanimation, CHU Dijon-Bourgogne, Dijon, France
- INSERM, CIC 1432, Module Épidémiologie Clinique, Université de Bourgogne-Franche Comté, Dijon, France
| | - Jean-Philippe Rigaud
- Department of Intensive Care, Centre Hospitalier de Dieppe, Dieppe, France
- Espace de Réflexion Éthique de Normandie, University Hospital Caen, Caen, France
| | - Jean-Pierre Quenot
- Service de Médecine Intensive-Réanimation, CHU Dijon-Bourgogne, Dijon, France
- Equipe Lipness, Centre de Recherche INSERM UMR1231 et LabEx LipSTIC, Université de Bourgogne-Franche Comté, Dijon, France
- INSERM, CIC 1432, Module Épidémiologie Clinique, Université de Bourgogne-Franche Comté, Dijon, France
- Espace de Réflexion Éthique Bourgogne Franche-Comté (EREBFC), Dijon, France
- * E-mail:
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7
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Declercq PL, Fournel I, Demeyere M, Ksiazek E, Meunier-Beillard N, Rivière A, Clarot C, Maizel J, Schnell D, Plantefeve G, Ampere A, Daubin C, Sauneuf B, Kalfon P, Federici L, Redureau É, Bousta M, Lagache L, Vanderlinden T, Nseir S, La Combe B, Bourdin G, Monchi M, Nyunga M, Ramakers M, Oulehri W, Georges H, Salmon Gandonniere C, Badie J, Delbove A, Monnet X, Beduneau G, Artaud-Macari É, Abraham P, Delberghe N, Le Bouar G, Miailhe AF, Hraiech S, Bironneau V, Sedillot N, Hoppe MA, Barbar SD, Calcaianu GD, Dellamonica J, Terzi N, Delpierre C, Gélinotte S, Rigaud JP, Labruyère M, Georges M, Binquet C, Quenot JP. Influence of socioeconomic status on functional recovery after ARDS caused by SARS-CoV-2: a multicentre, observational study. BMJ Open 2022; 12:e057368. [PMID: 35459672 PMCID: PMC9035836 DOI: 10.1136/bmjopen-2021-057368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION Prognosis of patients with COVID-19 depends on the severity of the pulmonary affection. The most severe cases may progress to acute respiratory distress syndrome (ARDS), which is associated with a risk of long-term repercussions on respiratory function and neuromuscular outcomes. The functional repercussions of severe forms of COVID-19 may have a major impact on quality of life, and impair the ability to return to work or exercise. Social inequalities in healthcare may influence prognosis, with socially vulnerable individuals more likely to develop severe forms of disease. We describe here the protocol for a prospective, multicentre study that aims to investigate the influence of social vulnerability on functional recovery in patients who were hospitalised in intensive care for ARDS caused by COVID-19. This study will also include an embedded qualitative study that aims to describe facilitators and barriers to compliance with rehabilitation, describe patients' health practices and identify social representations of health, disease and care. METHODS AND ANALYSIS The "Functional Recovery From Acute Respiratory Distress Syndrome (ARDS) Due to COVID-19: Influence of Socio-Economic Status" (RECOVIDS) study is a mixed-methods, observational, multicentre cohort study performed during the routine follow-up of post-intensive care unit (ICU) functional recovery after ARDS. All patients admitted to a participating ICU for PCR-proven SARS-CoV-2 infection and who underwent chest CT scan at the initial phase AND who received respiratory support (mechanical or not) or high-flow nasal oxygen, AND had ARDS diagnosed by the Berlin criteria will be eligible. The primary outcome is the presence of lung sequelae at 6 months after ICU discharge, defined either by alterations on pulmonary function tests, oxygen desaturation during a standardised 6 min walk test or fibrosis-like pulmonary findings on chest CT. Patients will be considered to be socially disadvantaged if they have an "Evaluation de la Précarité et des Inégalités de santé dans les Centres d'Examen de Santé" (EPICES) score ≥30.17 at inclusion. ETHICS AND DISSEMINATION The study protocol and the informed consent form were approved by an independent ethics committee (Comité de Protection des Personnes Sud Méditerranée II) on 10 July 2020 (2020-A02014-35). All patients will provide informed consent before participation. Findings will be published in peer-reviewed journals and presented at national and international congresses. TRIAL REGISTRATION NUMBER NCT04556513.
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Affiliation(s)
| | - Isabelle Fournel
- Centre d'Investigation Clinique INSERM 1432, Centre Hospitalier Universitaire de Dijon, Dijon, France
| | - Matthieu Demeyere
- Department of Radiology, University Hospital Centre Rouen, Rouen, France
| | - Eléa Ksiazek
- Centre d'Investigation Clinique, Épidémiologie Clinique/Essais Cliniques, University Hospital Centre Dijon, Dijon, France
- Module Epidémiologie Clinique, INSERM CIC 1432, Dijon, France
| | - Nicolas Meunier-Beillard
- Centre d'Investigation Clinique, Épidémiologie Clinique/Essais Cliniques, University Hospital Centre Dijon, Dijon, France
| | - Antoine Rivière
- Service de Médecine Intensive-Réanimation, Abbeville Hospital Centre, Abbeville, France
| | - Caroline Clarot
- Service de Pneumologie, Abbeville Hospital Centre, Abbeville, France
| | - Julien Maizel
- Service de Médecine Intensive-Réanimation, University Hospital Centre Amiens-Picardie, Amiens, France
| | - David Schnell
- Service de Médecine Intensive-Réanimation, Hospital Centre Angouleme, Angouleme, France
| | - Gaetan Plantefeve
- Service de Médecine-Intensive Réanimation, Centre Hospitalier d'Argenteuil, Argenteuil, France
| | - Alexandre Ampere
- Service de Pneumologie, Hospital Centre Bethune, Bethune, France
| | - Cédric Daubin
- Department of Medical Intensive Care, CHRU de Caen, Caen, France
| | - Bertrand Sauneuf
- Service de Médecine Intensive-Réanimation, Cotentin Public Hospital Centre, Cherbourg-Octeville, France
| | - Pierre Kalfon
- Service de Médecine Intensive-Réanimation, Hospital Centre Chartres, Chartres, France
| | - Laura Federici
- Service de Médecine Intensive-Réanimation, Hôpital Louis-Mourier, Colombes, France
| | - Élise Redureau
- Service de Médecine Intensive-Réanimation, Departmental Hospital Centre La Roche-sur-Yon, La Roche-sur-Yon, France
| | - Mehdi Bousta
- Service de Réanimation Médico-Chirurgicale, Hospital Group Le Havre, Le Havre, France
| | - Laurie Lagache
- Service de Réanimation Médico-Chirurgicale, Hospital Group Le Havre, Le Havre, France
| | - Thierry Vanderlinden
- Service de Médecine Intensive-Réanimation, Hospital Group of Lille Catholic University, Lille, France
| | - Saad Nseir
- Médecine Intensive-Réanimation, Regional and University Hospital Centre Lille, Lille, France
| | - Béatrice La Combe
- Service de Réanimation Polyvalente, Groupe Hospitalier Bretagne Sud, Lorient, France
| | - Gaël Bourdin
- Service de Médecine Intensive-Réanimation, Centre Hospitalier Saint Joseph Saint Luc, Lyon, France
| | - Mehran Monchi
- Service de Médecine Intensive-Réanimation, Melun Hospital Centre, Melun, France
| | - Martine Nyunga
- Service de Médecine Intensive-Réanimation, Roubaix Hospital Center, Roubaix, France
| | - Michel Ramakers
- Service de Médecine Intensive-Réanimation, Centre Hospitalier Mémorial de Saint-Lô, Saint-Lo, France
| | - Walid Oulehri
- Service de Réanimation Chirurgicale, University Hospitals Strasbourg, Strasbourg, France
| | - Hugues Georges
- Service de Médecine Intensive-Réanimation, Hospital Centre Gustave Dron de Tourcoing, Tourcoing, France
| | | | - Julio Badie
- Service de Médecine Intensive-Réanimation, Hopital Nord Franche-Comte, Montbeliard, France
| | - Agathe Delbove
- Réanimation Polyvalente, Centre Hospitalier Bretagne Atlantique, Vannes, France
| | - Xavier Monnet
- Service de Médecine Intensive-Réanimation, University Hospitals Southern Paris, Le Kremlin-Bicetre, France
| | - Gaetan Beduneau
- Département de Réanimation Médicale, Centre Hospitalier Universitaire de Rouen, Rouen, France
| | | | - Paul Abraham
- Service d'Anesthésie-Réanimation, Groupement Hospitalier Edouard Herriot, Lyon, France
| | | | - Gurvan Le Bouar
- Service de Médecine Intensive-Réanimation, University Hospital Centre Rouen, Rouen, France
| | - Arnaud-Felix Miailhe
- Service de Médecine Intensive-Réanimation, University Hospital Centre Nantes, Nantes, France
| | - Sami Hraiech
- Service de Médecine Intensive-Réanimation, Hôpital Nord, Marseille, France
| | - Vanessa Bironneau
- Service de Pneumologie, University Hospital Centre Poitiers, Poitiers, France
| | - Nicholas Sedillot
- Réanimation Polyvalente, Hôpital Fleyriat, Centre Hospitalier de Bourg-en-Bresse, Bourg-en-Bresse, France
| | - Marie-Anne Hoppe
- Service de Médecine Intensive-Réanimation, Hospital Centre La Rochelle, La Rochelle, France
| | - Saber Davide Barbar
- Intensive Care Unit, Centre Hospitalier Universitaire de Nimes, Nimes, France
| | | | | | - Nicolas Terzi
- Service de Médecine Intensive-Réanimation, University Hospital Centre Grenoble Alpes, Grenoble, France
| | - Cyrille Delpierre
- Centre d'Epidémiologie et de Recherche en santé des POPulations (CERPOP), University of Toulouse, Toulouse, France
| | - Stéphanie Gélinotte
- Service de Médecine Intensive-Réanimation, Hospital Centre Dieppe, Dieppe, France
| | - Jean-Philippe Rigaud
- Service de Médecine Intensive-Réanimation, Hospital Centre Dieppe, Dieppe, France
| | - Marie Labruyère
- Service de Médecine Intensive-Réanimation, University Hospital Centre Dijon, Dijon, France
| | - Marjolaine Georges
- Department of Pulmonary Medicine, University Hospital, Seattle, Washington, USA
| | - Christine Binquet
- Centre d'Investigation Clinique, CHU Dijon, Dijon, France
- Clinical Epidemiology, INSERM CIC 1432, Dijon, France
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8
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Minejima E, Wong-Beringer A. Impact of Socioeconomic Status and Race on Sepsis Epidemiology and Outcomes. J Appl Lab Med 2021; 6:194-209. [PMID: 33241269 DOI: 10.1093/jalm/jfaa151] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 08/05/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Socioeconomic status (SES) is a complex variable that is derived primarily from an individual's education, income, and occupation and has been found to be inversely related to outcomes of health conditions. Sepsis is the sixth most common admitting diagnosis and one of the most costly conditions for in-hospital spending in the United States. The objective of this review is to report on the relationship between SES and sepsis incidence and associated outcomes. CONTENT Sepsis epidemiology varies when explored by race, education, geographic location, income, and insurance status. Sepsis incidence was significantly increased in individuals of Black race compared with non-Hispanic white race; in persons who have less formal education, who lack insurance, and who have low income; and in certain US regions. People with low SES are likely to have onset of sepsis significantly earlier in life and to have poorly controlled comorbidities compared with those with higher SES. Sepsis mortality and hospital readmission is increased in individuals who lack insurance, who reside in low-income or medically underserved areas, who live far from healthcare, and who lack higher level education; however, a person's race was not consistently found to increase mortality. SUMMARY Interventions to minimize healthcare disparity for individuals with low SES should target sepsis prevention with increasing measures for preventive care for chronic conditions. Significant barriers described for access to care by people with low SES include cost, transportation, poor health literacy, and lack of a social network. Future studies should include polysocial risk scores that are consistently defined to allow for meaningful comparison across studies.
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Affiliation(s)
- Emi Minejima
- Department of Pharmacy, University of Southern California School of Pharmacy, Los Angeles, CA, USA.,Department of Pharmacy, Los Angeles County and University of Southern California Medical Center, Los Angeles, CA, USA
| | - Annie Wong-Beringer
- Department of Pharmacy, University of Southern California School of Pharmacy, Los Angeles, CA, USA.,Department of Pharmacy, Huntington Hospital, Pasadena, CA, USA
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9
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Saroul N, Puechmaille M, Lambert C, Hassan AS, Biau J, Lapeyre M, Mom T, Bernadach M, Gilain L. Prognosis in Head and Neck Cancer: Importance of Nutritional and Biological Inflammatory Status. Otolaryngol Head Neck Surg 2021; 166:118-127. [PMID: 33845660 DOI: 10.1177/01945998211004592] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES To determine the importance of nutritional status, social status, and inflammatory status in the prognosis of head and neck cancer. STUDY DESIGN Single-center retrospective study of prospectively collected data. SETTING Tertiary referral center. METHODS Ninety-two consecutive patients newly diagnosed for cancer of the upper aerodigestive tract without metastases were assessed at time of diagnosis for several prognostic factors. Nutritional status was assessed by the nutritional risk index, social status by the EPICES score, and inflammatory status by the systemic inflammatory response index. The primary endpoint was overall survival. RESULTS In multivariable analysis, the main prognostic factors were the TNM classification (hazard ratio [HR] = 3.34, P = .002, for stage T3-4), malnutrition as assessed by the nutritional risk index (HR = 3.64, P = .008, for severe malnutrition), and a systemic inflammatory response index score ≥1.6 (HR = 3.32, P = .02). Social deprivation was not a prognostic factor. CONCLUSION Prognosis in head and neck cancer is multifactorial; however, malnutrition and inflammation are important factors that are potentially reversible by early intervention.
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Affiliation(s)
- Nicolas Saroul
- Otolaryngology-Head and Neck Surgery Department, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Mathilde Puechmaille
- Otolaryngology-Head and Neck Surgery Department, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Céline Lambert
- Biostatistics Unit (DRCI), Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Achraf Sayed Hassan
- Otolaryngology-Head and Neck Surgery Department, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Julian Biau
- Radiation Oncology Department, Centre Jean Perrin, Clermont-Ferrand, France
| | - Michel Lapeyre
- Radiation Oncology Department, Centre Jean Perrin, Clermont-Ferrand, France
| | - Thierry Mom
- Otolaryngology-Head and Neck Surgery Department, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Maureen Bernadach
- Medical Oncology Department, Centre Jean Perrin, Clermont-Ferrand, France
| | - Laurent Gilain
- Otolaryngology-Head and Neck Surgery Department, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
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10
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Dargent A, Pais de Barros JP, Saheb S, Bittar R, Le Goff W, Carrié A, Gautier T, Fournel I, Rerole AL, Choubley H, Masson D, Lagrost L, Quenot JP. LDL apheresis as an alternate method for plasma LPS purification in healthy volunteers and dyslipidemic and septic patients. J Lipid Res 2020; 61:1776-1783. [PMID: 33037132 DOI: 10.1194/jlr.ra120001132] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Lipopolysaccharide (LPS) is a key player for innate immunity activation. It is therefore a prime target for sepsis treatment, as antibiotics are not sufficient to improve outcome during septic shock. An extracorporeal removal method by polymyxin (PMX) B direct hemoperfusion (PMX-DHP) is used in Japan, but recent trials failed to show a significant lowering of circulating LPS levels after PMX-DHP therapy. PMX-DHP has a direct effect on LPS molecules. However, LPS is not present in a free form in the circulation, as it is mainly carried by lipoproteins, including LDLs. Lipoproteins are critical for physiological LPS clearance, as LPSs are carried by LDLs to the liver for elimination. We hypothesized that LDL apheresis could be an alternate method for LPS removal. First, we demonstrated in vitro that LDL apheresis microbeads are almost as efficient as PMX beads to reduce LPS concentration in LPS-spiked human plasma, whereas it is not active in PBS. We found that PMX was also adsorbing lipoproteins, although less specifically. Then, we found that endogenous LPS of patients treated by LDL apheresis for familial hypercholesterolemia is also removed during their LDL apheresis sessions, with both electrostatic-based devices and filtration devices. Finally, LPS circulating in the plasma of septic shock and severe sepsis patients with gram-negative bacteremia was also removed in vitro by LDL adsorption. Overall, these results underline the importance of lipoproteins for LPS clearance, making them a prime target to study and treat endotoxemia-related conditions.
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Affiliation(s)
- Auguste Dargent
- Médecine Intensive Réanimation, Hôpital Edouard Herriot, Lyon, France; Université Bourgogne Franche-Comté, LNC, Dijon, France; INSERM, LNC UMR1231, Dijon, France; FCS Bourgogne-Franche Comté, LipSTIC LabEx, Dijon, France.
| | - Jean-Paul Pais de Barros
- Université Bourgogne Franche-Comté, LNC, Dijon, France; INSERM, LNC UMR1231, Dijon, France; FCS Bourgogne-Franche Comté, LipSTIC LabEx, Dijon, France
| | - Samir Saheb
- Service d'endocrinologie et d'aphérèse, Hôpital Pitié Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Randa Bittar
- Service de Biochimie métabolique, Hôpital Pitié Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Wilfried Le Goff
- Sorbonne University, INSERM, Institute of Cardiometabolism and Nutrition (ICAN), UMR_S1166, Hôpital de la Pitié, Paris, France
| | - Alain Carrié
- Sorbonne University, INSERM, Institute of Cardiometabolism and Nutrition (ICAN), UMR_S1166, Hôpital de la Pitié, Paris, France; Hôpitaux Universitaires Pitié-Salpêtrière/Charles-Foix, Department of Biochemistry for Endocrinology and Oncology, Obesity and Dyslipidemia Genetics Unit, Paris, France
| | - Thomas Gautier
- Université Bourgogne Franche-Comté, LNC, Dijon, France; INSERM, LNC UMR1231, Dijon, France; FCS Bourgogne-Franche Comté, LipSTIC LabEx, Dijon, France
| | - Isabelle Fournel
- INSERM, CIC 1432, Module Epidémiologie Clinique, Dijon, France; CHU Dijon-Bourgogne, Centre d'Investigation Clinique, Module Epidémiologie Clinique/Essais Cliniques, Dijon, France
| | - Anne Laure Rerole
- Université Bourgogne Franche-Comté, LNC, Dijon, France; INSERM, LNC UMR1231, Dijon, France; FCS Bourgogne-Franche Comté, LipSTIC LabEx, Dijon, France
| | - Hélène Choubley
- Université Bourgogne Franche-Comté, LNC, Dijon, France; INSERM, LNC UMR1231, Dijon, France; FCS Bourgogne-Franche Comté, LipSTIC LabEx, Dijon, France
| | - David Masson
- Université Bourgogne Franche-Comté, LNC, Dijon, France; INSERM, LNC UMR1231, Dijon, France; FCS Bourgogne-Franche Comté, LipSTIC LabEx, Dijon, France; Service de Biochimie médicale, CHU Dijon, Dijon, France
| | - Laurent Lagrost
- Université Bourgogne Franche-Comté, LNC, Dijon, France; INSERM, LNC UMR1231, Dijon, France; FCS Bourgogne-Franche Comté, LipSTIC LabEx, Dijon, France; Service de Biochimie médicale, CHU Dijon, Dijon, France
| | - Jean-Pierre Quenot
- FCS Bourgogne-Franche Comté, LipSTIC LabEx, Dijon, France; INSERM, CIC 1432, Module Epidémiologie Clinique, Dijon, France; CHU Dijon-Bourgogne, Centre d'Investigation Clinique, Module Epidémiologie Clinique/Essais Cliniques, Dijon, France; Médecine Intensive Réanimation, CHU Dijon, Dijon, France
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11
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Baumer T, Phillips E, Dhadda A, Szakmany T. Epidemiology of the First Wave of COVID-19 ICU Admissions in South Wales-The Interplay Between Ethnicity and Deprivation. Front Med (Lausanne) 2020; 7:569714. [PMID: 33117831 PMCID: PMC7575811 DOI: 10.3389/fmed.2020.569714] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 09/07/2020] [Indexed: 12/15/2022] Open
Abstract
On the 9th March 2020, the first patient with COVID-19 was admitted to ICU in the Royal Gwent Hospital (RGH), Newport, Wales. We prospectively recorded the rate of ICU admissions of 52 patients with COVID-19 over 60 days, focusing on the epidemiology of ethnicity and deprivation because these factors have emerged as significant risk factors. Patients were 65% (34 of 52) male and had a median (IQR) age of 55 (48–62) years. Prevalent comorbidities included obesity (52%); diabetes (33%), and asthma (23%). COVID-19 hospital and ICU inpatient numbers peaked on days 23 and 39, respectively—a lag of 16 days. The ICU mortality rate was 33% (17 of 52). People of black, Asian, and minority ethnic descent (BAME group) represented 35% of ICU COVID-19 admissions (18 of 52) and 35% of deaths (6 of 17). Amongst the BAME group, 72% (13 of 18) of patients were found to reside in geographical areas representing the 20% most deprived in Wales, vs. 27% of patients in the Caucasian group (9 of 33). Less than 5% of the population within the area covered by RGH are of BAME descent, yet this group had a disproportionately high ICU admission and mortality rate from COVID-19. The interplay between ethnicity and deprivation, which is complex, may be a factor in our findings. This in turn could be related to an increased prevalence of co-morbidities; higher community exposure; larger proportion of lower band key worker roles; or genetic polymorphisms.
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Affiliation(s)
- Thomas Baumer
- Department of Anaesthesia, Royal Gwent Hospital, Newport, United Kingdom
| | - Emily Phillips
- Department of Critical Care, Royal Gwent Hospital, Newport, United Kingdom
| | - Amrit Dhadda
- Department of Anaesthesia, Royal Gwent Hospital, Newport, United Kingdom
| | - Tamas Szakmany
- Department of Critical Care, Royal Gwent Hospital, Newport, United Kingdom.,Department of Anaesthesia, Intensive Care and Pain Medicine, Division of Population Medicine, Cardiff University, Cardiff, United Kingdom
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12
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Dunlop WA, Secombe PJ, Agostino J, van Haren F. Characteristics and outcomes of Aboriginal and Torres Strait Islander patients with dialysis-dependent kidney disease in Australian Intensive Care Units. Intern Med J 2020; 52:458-467. [PMID: 33012108 DOI: 10.1111/imj.15077] [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: 06/01/2020] [Revised: 09/04/2020] [Accepted: 09/27/2020] [Indexed: 11/05/2022]
Abstract
BACKGROUND In Australia, 531 people per million population have dialysis-dependent Chronic Kidney Disease (CKD5D). The incidence is four times higher for Aboriginal and Torres Strait Islander (Indigenous) people compared to non-Indigenous Australians. CKD5D increases the risk of hospitalisation, admission to the Intensive Care Unit (ICU) and mortality compared to patients without CKD5D. There is limited literature describing short-term outcomes of patients with CKD5D who are admitted to ICU, comparing Indigenous and non-Indigenous patients. AIMS This registry-based retrospective cohort analysis compared demographic and clinical data between Indigenous and non-Indigenous patients with CKD5D and tested whether Indigenous status predicted short-term outcomes independently of other contributing factors. Adjusted hospital mortality was the primary outcome measure. METHODS Data were from the Australian and New Zealand Intensive Care Society's Centre for Outcome and Resource Evaluation Adult Patient Database. Australian ICU admissions between 2010 and 2017 were included. Data from 173 ICUs (2,136 beds) include 1,051,697 ICU admissions of which 23,793 had a pre-existing diagnosis of CKD5D. RESULTS Indigenous patients comprised 11.9% of CKD5D patients in ICU. CKD5D was prevalent among 4.9% of Indigenous and 2.9% of non-Indigenous ICU admissions. Indigenous patients were 13.5 years younger, had fewer comorbidities and lower crude mortality despite equivalent calculated mortality risk. After adjusting for age, remoteness and severity of illness, Indigenous status did not predict mortality. CONCLUSIONS Socioeconomic disadvantage contributes to earlier development of CKD5D and the over representation in ICU of Indigenous people. Mortality is equivalent once correcting for confounders, but addressing inequality requires strengthening preventative care. This article is protected by copyright. All rights reserved.
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Affiliation(s)
| | - Paul J Secombe
- Intensive Care Unit, Central Australia Health Service, Alice Springs, NT
| | - Jason Agostino
- Medical School, Australian National University, Canberra, ACT
| | - Frank van Haren
- Medical School, Australian National University, Canberra, ACT.,Intensive Care Unit, Canberra Hospital, Canberra, ACT.,Faculty of Health, University of Canberra, Canberra, ACT
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