Purpose: Lactate is an established prognosticator in critical care. However, there still is insufficient evidence about its role in predicting outcome in COVID-19. This is of particular concern in older patients who have been mostly affected during the initial surge in 2020. Methods: This prospective international observation study (The COVIP study) recruited patients aged 70 years or older (ClinicalTrials.gov ID: NCT04321265) admitted to an intensive care unit (ICU) with COVID-19 disease from March 2020 to February 2021. In addition to serial lactate values (arterial blood gas analysis), we recorded several parameters, including SOFA score, ICU procedures, limitation of care, ICU- and 3-month mortality. A lactate concentration ≥ 2.0 mmol/L on the day of ICU admission (baseline) was defined as abnormal. The primary outcome was ICU-mortality. The secondary outcomes 30-day and 3-month mortality. Results: In total, data from 2860 patients were analyzed. In most patients (68%), serum lactate was lower than 2 mmol/L. Elevated baseline serum lactate was associated with significantly higher ICU- and 3-month mortality (53% vs. 43%, and 71% vs. 57%, respectively, p < 0.001). In the multivariable analysis, the maximum lactate concentration on day 1 was independently associated with ICU mortality (aOR 1.06 95% CI 1.02–1.11; p = 0.007), 30-day mortality (aOR 1.07 95% CI 1.02–1.13; p = 0.005) and 3-month mortality (aOR 1.15 95% CI 1.08–1.24; p < 0.001) after adjustment for age, gender, SOFA score, and frailty. In 826 patients with baseline lactate ≥ 2 mmol/L sufficient data to calculate the difference between maximal levels on days 1 and 2 (∆ serum lactate) were available. A decreasing lactate concentration over time was inversely associated with ICU mortality after multivariate adjustment for SOFA score, age, Clinical Frailty Scale, and gender (aOR 0.60 95% CI 0.42–0.85; p = 0.004). Conclusion: In critically ill old intensive care patients suffering from COVID-19, lactate and its kinetics are valuable tools for outcome prediction. Trial registration number: NCT04321265.
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Physiotherapy, Dietetics and Occupational Therapy have been collaborating over recent years to develop an optimal healthcare programme for patients with Post Intensive Care Syndrome (PICS). This case is an example of PICS symptomatology and focuses on the collaboration between Physiotherapy and Dietetics. What is PICS? Owing to healthcare improvements, more and more patients are surviving the intensive Care Unit (ICU), and recovery during and after ICU stay has been receiving more attention [1, 2]. Approximately 30% of the patients admitted to an ICU have persistent symptoms including muscle weakness, reduced walking ability, fatigue, concentration deficits, memory problems, malnutrition, sleep and mood disorders sometimes even years after discharge [3-8]. Since 2012, this combination of physical, cognitive and psychiatric manifestations and reduced quality of life after staying in an ICU has been recognised as Post Intensive Care Syndrome (PICS) [9]. The impact of PICS is often not limited to the patient as it may also impact the mental status of the patient’s immediate family. This is known as PICS-Family (PICS-F) [10-12]. Treatment of PICS: Approximately 80% of PICS patients need primary care physiotherapy. Physiotherapists and GPs are often the only primary care professionals involved in the recovery process of these patients after hospital discharge [13, 14]. Both patients and healthcare professionals report a number of difficulties, e.g. limited transmural continuity in healthcare, coordination of multidisciplinary activities, supportive treatment guidelines and specific knowledge of pathology, treatment and prognosis. Patients report that they are not adequately supported when resuming their professional activities and that medical and allied healthcare treatments do not fully meet their needs at that time [15-18]. The REACH project: In order to improve the situation, the REACH project (REhabilitation After Critical illness and Hospital discharge) was started in Amsterdam region in the Netherlands. Within REACH, a Community of Practice – consisting of professionals (physiotherapists, occupational therapists, dieticians), those who live or have lived with the condition and researchers – has developed a transmural rehab programme. A special attribute of this programme is the integration of the concept of “positive health”. The case in this article describes the treatment of a PICS patient treated within the REACH network.
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BACKGROUND: Acute admission to an intensive care unit (ICU) can negatively affect quality of life for patients and their relatives. Relatives play an important caregiving role after the patient's admission. More knowledge and understanding of their needs are necessary as the patient transitions home.AIM: This study aims to explore relatives' experiences of acutely admitted ICU patients' transition from the ICU to a general ward and then home.STUDY DESIGN: A qualitative study with a phenomenological approach was conducted. Interviews were in-depth and featured open-ended questions. The interviews took place after the patients transitioned from ICU to home and were conducted online by videoconference. Data were analysed using Colaizzi's seven-step method.RESULTS: Twelve relatives of acutely admitted ICU patients were interviewed. Five main themes emerged: (1) mixed feelings, (2) sense of not being involved, (3) limited information provision, (4) lack of acknowledgement as a caregiver, and (5) an uncertain future perspective. Relatives experience major uncertainties during transitions and prefer to be actively involved in care and care decisions.CONCLUSIONS: This study indicates that relatives of ICU patients experience a lack of guidance during the transitions from the ICU to a general ward and to home, or a follow-up facility. More focus is needed on the themes of mixed feelings, the sense of not being involved, limited information provision, lack of acknowledgement as a caregiver, and an uncertain future perspective. This increased focus might improve the guidance during these transitions.RELEVANCE TO CLINICAL PRACTICE: The insights from this study may help to improve the care of patients and their relatives during the transitions.
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Huntington’s disease (HD) and various spinocerebellar ataxias (SCA) are autosomal dominantly inherited neurodegenerative disorders caused by a CAG repeat expansion in the disease-related gene1. The impact of HD and SCA on families and individuals is enormous and far reaching, as patients typically display first symptoms during midlife. HD is characterized by unwanted choreatic movements, behavioral and psychiatric disturbances and dementia. SCAs are mainly characterized by ataxia but also other symptoms including cognitive deficits, similarly affecting quality of life and leading to disability. These problems worsen as the disease progresses and affected individuals are no longer able to work, drive, or care for themselves. It places an enormous burden on their family and caregivers, and patients will require intensive nursing home care when disease progresses, and lifespan is reduced. Although the clinical and pathological phenotypes are distinct for each CAG repeat expansion disorder, it is thought that similar molecular mechanisms underlie the effect of expanded CAG repeats in different genes. The predicted Age of Onset (AO) for both HD, SCA1 and SCA3 (and 5 other CAG-repeat diseases) is based on the polyQ expansion, but the CAG/polyQ determines the AO only for 50% (see figure below). A large variety on AO is observed, especially for the most common range between 40 and 50 repeats11,12. Large differences in onset, especially in the range 40-50 CAGs not only imply that current individual predictions for AO are imprecise (affecting important life decisions that patients need to make and also hampering assessment of potential onset-delaying intervention) but also do offer optimism that (patient-related) factors exist that can delay the onset of disease.To address both items, we need to generate a better model, based on patient-derived cells that generates parameters that not only mirror the CAG-repeat length dependency of these diseases, but that also better predicts inter-patient variations in disease susceptibility and effectiveness of interventions. Hereto, we will use a staggered project design as explained in 5.1, in which we first will determine which cellular and molecular determinants (referred to as landscapes) in isogenic iPSC models are associated with increased CAG repeat lengths using deep-learning algorithms (DLA) (WP1). Hereto, we will use a well characterized control cell line in which we modify the CAG repeat length in the endogenous ataxin-1, Ataxin-3 and Huntingtin gene from wildtype Q repeats to intermediate to adult onset and juvenile polyQ repeats. We will next expand the model with cells from the 3 (SCA1, SCA3, and HD) existing and new cohorts of early-onset, adult-onset and late-onset/intermediate repeat patients for which, besides accurate AO information, also clinical parameters (MRI scans, liquor markers etc) will be (made) available. This will be used for validation and to fine-tune the molecular landscapes (again using DLA) towards the best prediction of individual patient related clinical markers and AO (WP3). The same models and (most relevant) landscapes will also be used for evaluations of novel mutant protein lowering strategies as will emerge from WP4.This overall development process of landscape prediction is an iterative process that involves (a) data processing (WP5) (b) unsupervised data exploration and dimensionality reduction to find patterns in data and create “labels” for similarity and (c) development of data supervised Deep Learning (DL) models for landscape prediction based on the labels from previous step. Each iteration starts with data that is generated and deployed according to FAIR principles, and the developed deep learning system will be instrumental to connect these WPs. Insights in algorithm sensitivity from the predictive models will form the basis for discussion with field experts on the distinction and phenotypic consequences. While full development of accurate diagnostics might go beyond the timespan of the 5 year project, ideally our final landscapes can be used for new genetic counselling: when somebody is positive for the gene, can we use his/her cells, feed it into the generated cell-based model and better predict the AO and severity? While this will answer questions from clinicians and patient communities, it will also generate new ones, which is why we will study the ethical implications of such improved diagnostics in advance (WP6).
The admission of patients to intensive care units (ICU) is sometimes planned after a large operation. However, most admissions are acute, because of life-threatening infections or trauma as a result of accidents. Their stay can last from a couple of days to a couple of weeks. ICU patients are often in pain, in fragile health condition, and connected to various devices such as a ventilator, intravenous drip, and monitoring equipment. The resulting lack of mobilization, makes patients lose 1-3% of muscle power for each day they are in the ICU. Within 2 weeks, patients can lose up to 50% of their muscle mass. Early mobilization of ICU patients reduces their time on a respirator and their hospital length of stay. Because of this, ICUs have started early mobilization physical therapy. However, there is a lack of solutions for patients that properly handle fear of movement, are sufficiently personalized to the possibilities and needs of the individual and motivate recurring use in this context. Meanwhile, various technological advances enable new solutions that might bring benefits for this specific use case. Hospitals are experimenting with screens and projections on walls and ceilings to improve their patients’ stay. Standalone virtual reality and mixed reality headsets have become affordable, available and easy to use. In this project, we want to investigate: How can XR-technologies help long-stay ICU patients with early mobilization, with specific attention to the issues of fear of movement, personalization to the individual’s possibilities, needs and compliance over multiple sessions? The research will be carried out in co-creation with the target group and will consist of a state-of-the-art literature review and an explorative study.
