7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Risk factors and events in the adult intensive care unit associated with pain as self-reported at the end of the intensive care unit stay

      research-article
      1 , , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 1 , 1 , 1 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 12 , 13 , 2 , 2 , IPREA Study Group
      Critical Care
      BioMed Central
      Critical care, Pain, Discomfort, IPREA, Chest drain, Intra-hospital transport, Patient-reported outcome, Intensive care unit

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The short-term and long-term consequences of the most frequent painful procedures performed in the ICU are unclear. This study aimed to identify the risk factors associated with pain-related discomfort perceived by critically ill patients during the whole ICU stay as self-reported by patients at the end of their ICU stay.

          Methods

          The study involved 34 ICUs. Adult patients who survived an ICU stay of 3 calendar days or more were eligible for inclusion. Discomforts, including the pain-related discomfort, were assessed using the French 18-item questionnaire on discomfort in ICU patients, the “Inconforts des Patients de REAnimation” (IPREA). Patients scored each item from 0 (minimal discomfort) to 10 (maximal discomfort). Associations between patient characteristics at ICU admission, life support therapies and main potentially painful procedures performed during the ICU stay and pain-related discomfort scores assessed at the end of the ICU stay were analyzed.

          Results

          Patients with complete IPREA questionnaires ( n = 2130) were included. The median pain-related discomfort score was 3 (IQR 0–5). From the univariate analysis, pain-related discomfort scores were negatively correlated with age and positively correlated with ICU stay duration; surgical patients reported significant higher pain-related discomfort scores than medical patients; chest drain insertion, chest drain removal, use of bladder catheter, central venous catheter (CVC) insertion, complex dressing change, and intra-hospital transport were associated with pain-related discomfort scores. From the multivariate analyses using generalized estimating equations models, only age, chest drain removal, use of a bladder catheter, CVC insertion, and intra-hospital transport were the main risk factors associated with pain-related discomfort scores.

          Conclusion

          Patients who underwent chest drain removal, bladder catheter, CVC insertion, and intra-hospital transport during their ICU stay reported higher pain-related discomfort scores (with respect to the whole ICU stay and assessed at the end of their ICU stay) than patients who did not experience these events. This study may pave the way for further targeted studies aiming at investigating a causal link between these common procedures in the ICU and adult critically ill patients’ perceptions of their ICU stay regarding recalled pain.

          Trial Registration: Clinicaltrials.gov Identifier NCT02442934, retrospectively registered on May 13, 2015

          Related collections

          Most cited references37

          • Record: found
          • Abstract: found
          • Article: not found

          Clinical Practice Guidelines for the Prevention and Management of Pain, Agitation/Sedation, Delirium, Immobility, and Sleep Disruption in Adult Patients in the ICU

          To update and expand the 2013 Clinical Practice Guidelines for the Management of Pain, Agitation, and Delirium in Adult Patients in the ICU.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            APACHE-acute physiology and chronic health evaluation: a physiologically based classification system.

            Investigations describing the utilization pattern and documenting the value of intensive care are limited by the lack of a reliable and valid classification system. In this paper, the authors describe the development and initial validation of acute physiology and chronic health evaluation (APACHE), a physiologically based classification system for measuring severity of illness in groups of critically ill patients. APACHE uses information available in the medical record. In studies on 582 admissions to a university hospital ICU and 223 admissions to a community hospital ICU, APACHE was reliable in classifying ICU admissions. In validation studies involving these 805 admissions, the acute physiology score of APACHE demonstrated consistent agreement with subsequent therapeutic effort and mortality. This was true for a broad range of patient groups using a variety of sensitivity analyses. After successful completion of multi-institutional validation studies, the APACHE classification system could be used to control for case mix, compare outcomes, evaluate new therapies, and study the utilization of ICUs.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Variable selection – A review and recommendations for the practicing statistician

              Abstract Statistical models support medical research by facilitating individualized outcome prognostication conditional on independent variables or by estimating effects of risk factors adjusted for covariates. Theory of statistical models is well‐established if the set of independent variables to consider is fixed and small. Hence, we can assume that effect estimates are unbiased and the usual methods for confidence interval estimation are valid. In routine work, however, it is not known a priori which covariates should be included in a model, and often we are confronted with the number of candidate variables in the range 10–30. This number is often too large to be considered in a statistical model. We provide an overview of various available variable selection methods that are based on significance or information criteria, penalized likelihood, the change‐in‐estimate criterion, background knowledge, or combinations thereof. These methods were usually developed in the context of a linear regression model and then transferred to more generalized linear models or models for censored survival data. Variable selection, in particular if used in explanatory modeling where effect estimates are of central interest, can compromise stability of a final model, unbiasedness of regression coefficients, and validity of p‐values or confidence intervals. Therefore, we give pragmatic recommendations for the practicing statistician on application of variable selection methods in general (low‐dimensional) modeling problems and on performing stability investigations and inference. We also propose some quantities based on resampling the entire variable selection process to be routinely reported by software packages offering automated variable selection algorithms.
                Bookmark

                Author and article information

                Contributors
                pkalfon@ch-chartres.fr , pierrekalfon@sfr.fr
                Journal
                Crit Care
                Critical Care
                BioMed Central (London )
                1364-8535
                1466-609X
                7 December 2020
                7 December 2020
                2020
                : 24
                : 685
                Affiliations
                [1 ]GRID grid.489912.f, ISNI 0000 0004 0594 0931, Réanimation polyvalente, Hôpital Louis Pasteur, , Centre Hospitalier de Chartres, Le Coudray, ; 28018 Chartres Cedex, France
                [2 ]GRID grid.5399.6, ISNI 0000 0001 2176 4817, Unité de recherche EA3279, , Aix-Marseille Université, ; Marseille, France
                [3 ]GRID grid.477172.0, Réanimation, , Clinique Ambroise Paré, ; Neuilly/Seine, France
                [4 ]GRID grid.31151.37, Département d’Anesthésie Réanimation, , CHU Dijon Bourgogne, ; Dijon, France
                [5 ]GRID grid.489910.d, Réanimation polyvalente, , Centre Hospitalier Intercommunal Toulon/La Seyne sur mer, ; Toulon, France
                [6 ]Réanimation, CH Troyes, Troyes, France
                [7 ]GRID grid.413852.9, ISNI 0000 0001 2163 3825, Réanimation polyvalente, , CHU Édouard Herriot, Hospices Civils de Lyon, ; Lyon, France
                [8 ]GRID grid.492679.7, Réanimation, , Hôpital Européen de Marseille, ; Marseille, France
                [9 ]GRID grid.411784.f, ISNI 0000 0001 0274 3893, Réanimation chirurgicale, , CHU Cochin, Assistance Publique-Hôpitaux de Paris (AP-HP), ; Paris, France
                [10 ]Réanimation polyvalente, CH Victor Provo, Roubaix, France
                [11 ]Réanimation, CH Émile Roux, Le Puy-en-Velay, France
                [12 ]GRID grid.50550.35, ISNI 0000 0001 2175 4109, Réanimation médicale, , CHU Saint-Louis, AP-HP, ; Paris, France
                [13 ]GRID grid.411162.1, ISNI 0000 0000 9336 4276, Réanimation médicale, , CHU La Milétrie, ; Poitiers, France
                [14 ]GRID grid.414093.b, Réanimation chirurgicale, , Hôpital Européen Georges Pompidou, AP-HP, ; Paris, France
                [15 ]GRID grid.411766.3, ISNI 0000 0004 0472 3249, Réanimation médicale, , CHU Brest, ; Brest, France
                [16 ]GRID grid.414363.7, ISNI 0000 0001 0274 7763, Médecine intensive et reanimation, , Groupe Hospitalier Paris Saint-Joseph, ; Paris, France
                [17 ]GRID grid.413866.e, ISNI 0000 0000 8928 6711, Réanimation chirurgicale polyvalente, , Hôpital Civil, CHU Strasbourg, ; Strasbourg, France
                [18 ]GRID grid.477131.7, ISNI 0000 0000 9605 3297, Réanimation, , Groupe Hospitalier de La Rochelle-Ré-Aunis, ; La Rochelle, France
                [19 ]GRID grid.50550.35, ISNI 0000 0001 2175 4109, Anesthésie Réanimation, , CHU Beaujon, AP-HP, ; Clichy, France
                [20 ]Réanimation, CH Lens, Lens, France
                [21 ]GRID grid.412201.4, ISNI 0000 0004 0593 6932, Réanimation Chirurgicale, , Hôpital Hautepierre, CHU Strasbourg, ; Strasbourg, France
                [22 ]Réanimation, CH Auxerre, Auxerre, France
                [23 ]GRID grid.410528.a, ISNI 0000 0001 2322 4179, Réanimation Médico-Chirurgicale, Hôpital Pasteur, , CHU Nice, ; Nice, France
                [24 ]GRID grid.414336.7, ISNI 0000 0001 0407 1584, Réanimation Chirurgicale, , CHU Hôpital Nord, Assistance Publique–Hôpitaux de Marseille, ; Marseille, France
                [25 ]Centre Hospitalier (CH) D’Auxerre, Auxerre, France
                [26 ]GRID grid.411766.3, ISNI 0000 0004 0472 3249, Centre Hospitalier (CHU) de Brest, ; Brest, France
                [27 ]GRID grid.50550.35, ISNI 0000 0001 2175 4109, CHU Beaujon, Assistance Publique-Hôpitaux de Paris (AP-HP), ; Paris, France
                [28 ]GRID grid.31151.37, CHU Dijon Bourgogne, ; Dijon, France
                [29 ]CH de Douai, Douai, France
                [30 ]GRID grid.50550.35, ISNI 0000 0001 2175 4109, Raymond Poincaré, AP-HP, ; Garches, France
                [31 ]Hospitalier de La Rochelle-Ré-Aunis, La Rochelle, France
                [32 ]de Chartres, Chartres, France
                [33 ]Emile Roux, Le Puy-en-Velay, France
                [34 ]CH de Lens, Lens, France
                [35 ]GRID grid.413852.9, ISNI 0000 0001 2163 3825, CHU Edouard Herriot, ; Hospices Civils de Lyon, Lyon, France
                [36 ]GRID grid.492679.7, Hôpital Européen de Marseille, ; Marseille, France
                [37 ]GRID grid.414336.7, ISNI 0000 0001 0407 1584, CHU Hôpital Nord, Assistance Publique Hôpitaux de Marseille, ; Marseille, France
                [38 ]GRID grid.477172.0, Clinique Ambroise Paré, ; Neuilly/Seine, France
                [39 ]GRID grid.410528.a, ISNI 0000 0001 2322 4179, CHU Nice, ; Nice, France
                [40 ]GRID grid.411784.f, ISNI 0000 0001 0274 3893, CHU Cochin, AP-HP, ; Paris, France
                [41 ]GRID grid.50550.35, ISNI 0000 0001 2175 4109, CHU Hôpital Européen Georges Pompidou, AP-HP, ; Paris, France
                [42 ]GRID grid.414363.7, ISNI 0000 0001 0274 7763, Groupe Hospitalier Paris Saint-Joseph, ; Paris, France
                [43 ]GRID grid.411439.a, ISNI 0000 0001 2150 9058, CHU Pitié-Salpêtrière, AP-HP, ; Paris, France
                [44 ]GRID grid.50550.35, ISNI 0000 0001 2175 4109, CHU Saint-Louis, AP-HP, ; Paris, France
                [45 ]GRID grid.411162.1, ISNI 0000 0000 9336 4276, CHU La Milétrie, Poitiers, ; Poitiers, France
                [46 ]CH Victor Provo, Roubaix, Roubaix, France
                [47 ]GRID grid.412220.7, ISNI 0000 0001 2177 138X, CHU Strasbourg, ; Strasbourg, France
                [48 ]GRID grid.489910.d, Centre Hospitalier Intercommunal Toulon/La Seyne sur mer, ; Toulon, France
                [49 ]CH de Troyes, Troyes, France
                Article
                3396
                10.1186/s13054-020-03396-2
                7722444
                33287910
                ad1cf282-5843-4fa3-b85f-3c2cbb976895
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 19 August 2020
                : 18 November 2020
                Funding
                Funded by: French Ministry of Health (Programme Hospitalier de Recherche Clinique National, 2012)
                Award ID: 12-010-0554
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Emergency medicine & Trauma
                critical care,pain,discomfort,iprea,chest drain,intra-hospital transport,patient-reported outcome,intensive care unit

                Comments

                Comment on this article