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Enregistrement W4404375886 · doi:10.1097/ccm.0000000000006452

Get Up, Stand Up! Take This Step to Decrease ICU Readmissions*

2024· article· en· W4404375886 sur OpenAlexaboutno aff
Nika Filatova, Christa Schorr

Notice bibliographique

RevueCritical Care Medicine · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueIntensive Care Unit Cognitive Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineEmergency medicineRetrospective cohort studyCohortResource useCohort studyIntensive care medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

In this issue of Critical Care Medicine, there are two articles reporting an association of the ICU patient’s inability to sit-to-stand at ICU discharge to outcomes of mortality (Siao et al [1]) and ICU readmission (Brosseau et al [2]). Here, we discuss the study by Brosseau et al (2) and link of failure of sit-to-stand with ICU readmissions. Hospital beds are a finite resource and none more so than beds in the ICU. There is a continuous cycling of admissions and discharges essential to provide patients with the right care in the right place. Unfortunately, the pressures of hospital throughput by “making room” can force premature ICU discharges and subsequent ICU readmissions. Rates vary from 5% to 16% of the total ICU discharges (3). ICU readmissions are associated with increased resource use and poor outcomes including increased patient morbidity and two- to ten-fold increase in mortality (4). Also, between 13% and 86% of readmissions are classified as potentially preventable (4). The most common predictive factors for ICU readmission are age, hypoxia, and Acute Physiology and Chronic Health Evaluation scores (5). Brosseau et al (2) conducted a retrospective, multicenter cohort study to evaluate the association between the inability to stand at the time of ICU discharge and the probability of ICU readmission. The study used the ICU mobility scale, which defines standing as “weight-bearing through the feet in standing position with or without assistance.” Readmission was defined by Brosseau et al (2) as a new transfer from the ward to the ICU 24 hours or more after initial ICU discharge. Data were obtained from the Toronto Intensive Care Observational Registry (iCORE) project from September 2014 to January 2020. The registry includes prospectively collected data from daily case report forms of critically ill patients in nine ICUs from seven different hospitals in the Greater Toronto area. A total of 8017 patients with a single inclusion criterion, mechanical ventilation for at least 4 hours were evaluated. Exclusion criteria were death during the first ICU stay, transfer to another institution not included in the iCORE registry at ICU discharge or an ICU stay of less than 2 days. All participating ICUs had physical therapists (PTs) and used established guidelines to mobilize patients. Patient characteristics include a median age of 62 with a male predominance (62%) and comparable comorbidities (2). There were several notable differences between the able to stand group (n = 3289) and the unable to stand group (n = 4728); elective postoperative admission (43.9% vs. 23.2%) and interventions on the day of ICU discharge including mechanical ventilation (15.6% vs. 47%) and vasopressors (4.5% vs. 13.4%). Additional data was provided for patients with missing mobility assessments (n = 1378), which were not included in further analyses. Brosseau et al (2) report that of the 291 patients (3.6%) who were readmitted, nearly 80% were unable to stand at the time of transfer out of the ICU. A multivariable logistic regression was used to determine the association between inability to stand at ICU discharge and ICU readmission. The association was significant (odds ratio, 1.85%; 95% CI, 1.32–2.62; p < 0.001), even after adjusting for confounders including age, sex, comorbidities, admission status, need for renal replacement therapy, greater than 7-day stay, and interventions on the day of discharge. Although patients with missing exposure were not included in the analyses, the readmission rate in this group was 8.1%. There are several strengths of the study by Brosseau et al (2), one is the large sample size gathered from a registry containing detailed clinical variables. Second, these data were from institutions that followed mobility guidelines with support from PTs. Limitations include the inherent observational retrospective nature of the study, the sit-to-stand test was not done by or observed by a researcher allowing for validation of the score provided. There was no measure reported as to how long the patient could stand nor how much assistance the patient required. Patients that were readmitted to the ICU within 24 hours were not counted as a readmission. The absence of the reason for readmission is valuable information, as the cause for readmission may or may not be related to musculoskeletal weakness. Finally, there was no assessment at baseline regarding the patients’ mobility status or ability to complete a sit-to-stand position. It is clear in the study by Brosseau et al (2) that assisting patients in completing a simple mobility task, such as standing, can impact their potential to avoid ICU readmission. However, this may not be so “simple” after all. While the ICU Mobility Scale gives a clear picture regarding what mobility task a patient has achieved, standing is much more nuanced than that measurement. This outcome measure leaves valuable information out—How much assistance did the patient require? How long did the patient stand? To capture some of this pertinent information, perhaps it would be worth determining if a similar correlation to ICU readmission exists with the use of a different outcome measure, such as the Activity Measure for Post-Acute Care, which quantifies the amount of assistance a patient needs to perform specific mobility tasks or the John Hopkins Highest Level of Mobility scale, which for most levels, quantifies mobility via time or distance. Regardless of how it is measured, the fact that the association between a patient’s mobility level and an outcome as crucial as ICU readmission should encourage providers to begin to have thorough discussions about the overall mobility program and status of their patients in the ICU. Just stating that “PT is seeing the patient” is not enough. Clinicians strive to organize care at the end of rounds with mnemonics tools such as “FASTHUG-BID” to help the team address details of care and next steps (6) Yet, most tools do not address mobility or sit-to-stand ability. While many institutions have acknowledged and adopted the importance of dedicated ICU PTs, the physical activity of the patient is rarely discussed in any detail on rounds. Meanwhile, we are aware that decreased mobility is known to increase the patients’ risk of pressure ulcers, infections, deep vein thromboses, atelectasis, and aspiration (7) and now readmission. Additionally, a structured method to assess patients for readiness to downgrade/transfer is lacking in practice. The transfer readiness assessment is often reduced to broad factors including hemodynamic stability and oxygenation requirements (8). While PTs are specifically trained to mobilize patients, they are not always a readily available resource. In fact, only 34% of ICUs have dedicated PTs (9). Depending on the size of an ICU, it may not be feasible for the PT to see every appropriate patient every day. Aiming for adequate PT support to provide early mobilization in the ICU will require additional resources and can net a significant cost savings associated with decreased length of stay (10). Even with ICU-dedicated PTs, patients will spend most of their days immobile if the nursing staff does not engage patients in mobility. It may be that nurses do not have time or are concerned about safety. There are inherent safety concerns with mobilization of the critically ill population, including falls, dislodgement of catheters and tubes, and hemodynamic stability (11). While mobility is shown to be safe for critically ill patients with a variety of factors of care (e.g., mechanical support devices, invasive monitoring devices, etc), there may be several potential barriers from the nursing perspective. Some of these barriers include staffing issues, time constraints, no formal protocol/program for mobility, and limited equipment (12). Another concern is that 25% of workers’ compensation claims are a result of patient handling related injuries (11). The development and implementation of a formal early ICU mobility program, whether PT- or nurse-driven will take time, education, and resources. Meanwhile, patients are at risk of negative outcomes every minute they are immobile lying in bed. Immobility can have negative effects on the patient’s psychological and emotional well-being too. Try to recall when your critically ill patient sat in a chair or walked for the first time after a long ICU stay. The patient and unit were excited! Although it required a lot of teamwork and time, our patients are worth this effort. To get to the next step, it may be beneficial to immediately begin discussions with the multidisciplinary team (i.e., during daily rounding) regarding the importance of using the current available tools, such as the “chair position” function of the hospital beds, to promote upright positioning to address cardiovascular and respiratory compromise. These small steps to get your patients up and move toward sit-to-stand can develop into a more active mobility program. Finally, standardizing a method to assess transfer readiness including the patient’s ability to sit-to-stand may lead to less ICU readmissions in your hospital. Although ICU readmission prediction models exist, none include the inability to sit-to stand. Perhaps adding this variable to these prediction models is warranted.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,024
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,056
Score d'incertitude au seuil0,186

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,024
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,001
Communication savante0,0060,005
Science ouverte0,0020,002
Intégrité de la recherche0,0080,010
Charge utile insuffisante (le modèle a refusé de juger)0,0560,023

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,030
Tête enseignante GPT0,361
Écart entre enseignants0,331 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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