Development and validation of an intensive care unit acquired weakness prediction model: A cohort study

A meta-analysis of the association between vasopressor use and intensive care unit-acquired weakness

OBJECTIVE

This study aims to clarify the uncertain association between vasopressor administration and the development of intensive care unit-acquired weakness (ICUAW) in critically ill adult patients.

METHODS

We conducted a comprehensive search of PubMed, Embase, Web of Science, and the Cochrane Central Register of Controlled Trials up to October 10, 2023. Titles and abstracts were independently screened by two authors, who then reviewed full texts and extracted relevant data from the studies that met the inclusion criteria. This review included prospective and retrospective cohort studies that explored the relationship between vasopressor use and ICUAW utilizing univariate or multivariate analysis in adult ICU patients.

RESULTS

A total of 15 studies were included in our review, collectively indicating a statistically significant association between the use of vasopressors and the occurrence of ICUAW (odds ratio [OR], 3.43; 95% confidence intervals [CI], 1.95-6.04), including studies utilizing multivariate analysis (OR, 3.43; 95% CI, 1.76-6.70). Specifically, the use of noradrenaline was significantly associated with ICUAW (OR, 4.42; 95% CI, 1.69-11.56). Subgroup and sensitivity analyses further underscored the significant relationship between vasopressor use and ICUAW, particularly in studies focusing on patients with clinical weakness, varying study designs, different sample sizes, and relatively low risk of bias. However, this association was not observed in studies limited to patients with abnormal electrophysiology.

CONCLUSIONS

Our review underscores a significant link between the use of vasopressors and the development of ICUAW in critically ill adult patients. This finding helps better identify patients at higher risk of ICUAW and suggests considering targeted therapies to mitigate this risk.

Prevalence and Risk Factors of Intensive Care Unit-acquired Weakness in Patients With COVID-19: A Systematic Review and Meta-analysis

BACKGROUND

Intensive care unit acquired weakness (ICUAW) is a common neuromuscular complication of critical illness, impacting patients' recovery and long-term outcomes. However, limited evidence is available on pooled prevalence and risk factors of ICUAW specifically in the COVID-19-infected population.

METHODS

We searched on PubMed, Embase, Cochrane Library, Web of Science, PEDro, and EBSCOhost/CINAHL up to January 31, 2024. Data synthesis was conducted using the Freeman-Tukey double-arcsine transformation model for the pooled prevalence rate and odds ratios with corresponding 95% confidence intervals was used to identify risk factors.

RESULTS

The pooled prevalence of ICUAW in COVID-19 patients was 55% in eight studies on 868 patients. Risk factors for developing ICUAW in these patients were: old age (WMD 4.78, 95% CI, 1.06-8.49), pre-existing hypertension (OR = 1.63, 95% CI, 1.02-2.61), medical intervention of prone position (OR = 5.21, 95% CI, 2.72-9.98), use of neuromuscular blocking agents (NMBA) (OR = 12.04, 95% CI, 6.20-23.39), needed tracheostomy (OR = 18.07, 95% CI, 5.64-57.92) and renal replacement therapy (RRT) (OR = 5.24, 95% CI = 2.36-11.63).

CONCLUSIONS

The prevalence of ICUAW in patients with COVID-19 was considered relatively high. Older age, pre-existing hypertension, medical intervention of prone position, NMBA use, needed tracheostomy and RRT were likely risk factors. In the future, interdisciplinary medical team should pay attention to high-risk groups for ICUAW prevention and early treatments.

Advancing critical care recovery: The pivotal role of machine learning in early detection of intensive care unit-acquired weakness

This editorial explores the significant challenge of intensive care unit-acquired weakness (ICU-AW), a prevalent condition affecting critically ill patients, characterized by profound muscle weakness and complicating patient recovery. Highlighting the paradox of modern medical advances, it emphasizes the urgent need for early identification and intervention to mitigate ICU-AW's impact. Innovatively, the study by Wang et al is showcased for employing a multilayer perceptron neural network model, achieving high accuracy in predicting ICU-AW risk. This advancement underscores the potential of neural network models in enhancing patient care but also calls for continued research to address limitations and improve model applicability. The editorial advocates for the development and validation of sophisticated predictive tools, aiming for personalized care strategies to reduce ICU-AW incidence and severity, ultimately improving patient outcomes in critical care settings.

Risk prediction models for intensive care unit-acquired weakness in critically ill patients: A systematic review

BACKGROUND

Intensive care unit (ICU)-acquired weakness (ICU-AW) is a critical complication that significantly worsens patient prognosis. It is widely thought that risk prediction models can be harnessed to guide preventive interventions. While the number of ICU-AW risk prediction models is increasing, the quality and applicability of these models in clinical practice remain unclear.

OBJECTIVE

The objective of this study was to systematically review published studies on risk prediction models for ICU-AW.

METHODS

We searched electronic databases (PubMed, Web of Science, The Cochrane Library, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), China National Knowledge Infrastructure (CNKI), China Science and Technology Periodical Database (VIP), and Wanfang Database) from inception to October 2023 for studies on ICU-AW risk prediction models. Two independent researchers screened the literature, extracted data, and assessed the risk of bias and applicability of the included studies.

RESULTS

A total of 2709 articles were identified. After screening, 25 articles were selected, encompassing 25 risk prediction models. The area under the curve for these models ranged from 0.681 to 0.926. Evaluation of bias risk indicated that all included models exhibited a high risk of bias, with three models demonstrating poor applicability. The top five predictors among these models were mechanical ventilation duration, age, Acute Physiology and Chronic Health Evaluation II score, blood lactate levels, and the length of ICU stay. The combined area under the curve of the ten validation models was 0.83 (95% confidence interval: 0.77-0.88), indicating a strong discriminative ability.

CONCLUSIONS

Overall, ICU-AW risk prediction models demonstrate promising discriminative ability. However, further optimisation is needed to address limitations, including data source heterogeneity, potential biases in study design, and the need for robust statistical validation. Future efforts should prioritise external validation of existing models or the development of high-quality predictive models with superior performance.

REGISTRATION

The protocol for this study is registered with the International Prospective Register of Systematic Reviews (registration number: CRD42023453187).

The knowledge, attitude and behavior of ICU nurses regarding ICU-acquired weakness: a cross-sectional survey

BACKGROUND

Intensive care unit-acquired weakness (ICU-AW) is very common in ICU patients. It is important to understand the status quo of knowledge, attitude and behavior of ICU nurses about ICU-AW. This survey aimed to investigate the knowledge, attitude and behavior of ICU nurses about ICU-AW, to provide useful implications for clinical care.

METHODS

ICU nurses from two tertiary hospitals in China from October 10 to November 15, 2023 were included. The ICU-AW knowledge, attitude and behavior questionnaire of ICU nurses with 31 items were used for survey. SPSS24.0 statistical software was used for data analysis.

RESULTS

A total of 364 ICU nurses were included for survey. The ICU-AW knowledge of ICU nurses was 21.96 ± 5.72 (< 50% of the total knowledge score), the ICU-AW attitude of ICU nurses was 30.24 ± 5.05(< 75% of the total attitude score), the ICU-AW behavior of ICU nurses was 26.77 ± 5.81(< 75% of the total behavior score), the total score was 79.21 ± 12.69(< 75% of the total score). Nurses' ICU-AW knowledge, attitude and behavior were all correlated (all P < 0.05). Multiple linear regression analyses indicated that age, years of ICU work experience, professional ranks and titles, had received the training about the ICU-AW were the influencing factors of knowledge, attitude and behavior of ICU nurses about ICU-AW (all P < 0.05).

CONCLUSIONS

The knowledge, attitude and behavior of ICU nurses' ICU-AW needs to be improved, and there are many influencing factors. Hospital nursing administrators should strengthen the training of nurses' ICU-AW knowledge and improve the cognitive and practical ability of ICU nurses on ICU-AW, so as to reduce the occurrence of ICU-AW.

Balance function in critical illness survivors and evaluation of psychometric properties of the Mini-BESTest

Critical illness survivors commonly face impairments, such as intensive care unit-acquired weakness (ICUAW) which is characterized by muscle weakness and sensory deficits. Despite these symptoms indicating potential balance deficits, systematic investigations and validated assessments are lacking. Therefore, we aimed to assess balance function using the Mini-BESTest, evaluate its psychometric properties, and identify associated variables. Balance was assessed post-ICU discharge (V1) and at discharge from inpatient neurorehabilitation (V2) in patients with ≥ 5 days of invasive ventilation. Mini-BESTest measurement characteristics were evaluated in an ambulatory subgroup. A multiple linear regression was conducted. The prospective cohort study comprised 250 patients (34% female, 62 ± 14 years, median ICU stay 55 days). Median Mini-BESTest scores improved significantly from V1 (5 (IQR 0-15)) to V2 (18.5 (10-23)) with a large effect size. Excellent inter-rater and test-retest reliabilities of the Mini-BESTest were observed (ICC = 0.981/0.950). Validity was demonstrated by a very high correlation with the Berg Balance Scale (ρ = 0.90). No floor or ceiling effects were detected. Muscle strength, cognitive function, cerebral disease, critical illness polyneuropathy/myopathy, and depression were significantly associated with balance. Despite significant improvements during the rehabilitation period, balance disorders were prevalent in critical illness survivors. Ongoing therapy is recommended. Due to its excellent psychometric properties, the Mini-BESTest is suitable for use in critical illness survivors.Registration: The study was registered at the German Clinical Trials Register (DRKS00021753, date of registration: 2020-09-03).

Significant risk factors for intensive care unit-acquired weakness: A processing strategy based on repeated machine learning

BACKGROUND

Intensive care unit-acquired weakness (ICU-AW) is a common complication that significantly impacts the patient's recovery process, even leading to adverse outcomes. Currently, there is a lack of effective preventive measures.

AIM

To identify significant risk factors for ICU-AW through iterative machine learning techniques and offer recommendations for its prevention and treatment.

METHODS

Patients were categorized into ICU-AW and non-ICU-AW groups on the 14th day post-ICU admission. Relevant data from the initial 14 d of ICU stay, such as age, comorbidities, sedative dosage, vasopressor dosage, duration of mechanical ventilation, length of ICU stay, and rehabilitation therapy, were gathered. The relationships between these variables and ICU-AW were examined. Utilizing iterative machine learning techniques, a multilayer perceptron neural network model was developed, and its predictive performance for ICU-AW was assessed using the receiver operating characteristic curve.

RESULTS

Within the ICU-AW group, age, duration of mechanical ventilation, lorazepam dosage, adrenaline dosage, and length of ICU stay were significantly higher than in the non-ICU-AW group. Additionally, sepsis, multiple organ dysfunction syndrome, hypoalbuminemia, acute heart failure, respiratory failure, acute kidney injury, anemia, stress-related gastrointestinal bleeding, shock, hypertension, coronary artery disease, malignant tumors, and rehabilitation therapy ratios were significantly higher in the ICU-AW group, demonstrating statistical significance. The most influential factors contributing to ICU-AW were identified as the length of ICU stay (100.0%) and the duration of mechanical ventilation (54.9%). The neural network model predicted ICU-AW with an area under the curve of 0.941, sensitivity of 92.2%, and specificity of 82.7%.

CONCLUSION

The main factors influencing ICU-AW are the length of ICU stay and the duration of mechanical ventilation. A primary preventive strategy, when feasible, involves minimizing both ICU stay and mechanical ventilation duration.

Prediction of Post-ICU Impairments-Is It Possible?

Mr Thompson is a 58-year-old male, admitted to the intensive care unit with severe community acquired pneumonia following an overseas holiday. He has acute respiratory failure, requiring mechanical ventilation and haemodynamic supports. Prior to his ICU admission he worked in a corporate job, lived with his wife, was otherwise fit and healthy, and enjoyed cycling 10km to and from work. His ICU admission extended for three weeks, and he stayed in hospital for a further two weeks, before discharging. On return home, he is only able to walk 200m. He has lost his vitality. He is tearful, anxious, and depressed about his health state. His wife is finding it difficult to help him. They are unsure of where to get support in the community, whether he will be able to return to work, and what to expect for his recovery.

Enteral nutrition management in critically ill adult patients and its relationship with intensive care unit-acquired muscle weakness: A national cohort study

OBJECTIVE

To assess the incidence and determinants of ICU-acquired muscle weakness (ICUAW) in adult patients with enteral nutrition (EN) during the first 7 days in the ICU and mechanical ventilation for at least 48 hours.

METHODS

A prospective, nationwide, multicentre cohort study in a national ICU network of 80 ICUs. ICU patients receiving invasive mechanical ventilation for at least 48 hours and EN the first 7 days of their ICU stay were included. The primary outcome was incidence of ICUAW. The secondary outcome was analysed, during days 3-7 of ICU stay, the relationship between demographic and clinical data to contribute to the onset of ICUAW, identify whether energy and protein intake can contribute independently to the onset of ICUAW and degree of compliance guidelines for EN.

RESULTS

319 patients were studied from 69 ICUs in our country. The incidence of ICUAW was 153/222 (68.9%; 95% CI [62.5%-74.7%]). Patients without ICUAW showed higher levels of active mobility (p = 0.018). The logistic regression analysis showed no effect on energy or protein intake on the onset of ICUAW. Overfeeding was observed on a significant proportion of patient-days, while more overfeeding (as per US guidelines) was found among patients with obesity than those without (42.9% vs 12.5%; p<0.001). Protein intake was deficient (as per US/European guidelines) during ICU days 3-7.

CONCLUSIONS

The incidence of ICUAW was high in this patient cohort. Early mobility was associated with a lower incidence of ICUAW. Significant overfeeding and deficient protein intake were observed. However, energy and protein intake alone were insufficient to explain ICUAW onset.

RELEVANCE TO CLINICAL PRACTICE

Low mobility, high incidence of ICUAW and low protein intake suggest the need to train, update and involve ICU professionals in nutritional care and the need for early mobilization of ICU patients.

The Role of Technological Rehabilitation in Patients with Intensive Care Unit Weakness: A Randomized Controlled Pilot Study

Intensive-Care-Unit-Acquired Weakness (ICU-AW) is the most common neuromuscular impairment in critically ill patients and can have a significant impact on long-term disability. Early rehabilitation has been suggested to facilitate the natural recovery process. This is a pilot, randomized, single-blind study that aimed to evaluate the effectiveness of intensive combined technological rehabilitation treatment including focal muscle vibration and non-immersive virtual reality for patients with severe acquired brain injury (sABI) and ICU-AW. Twenty-four patients were randomized into the conventional group, which performed only conventional rehabilitation, and the experimental group, which also performed technological treatment. At baseline and after 3 weeks of treatment, assessments of motor function, autonomy, disability and quality of life were conducted. At the end of the intervention, both groups showed significant improvements. However, patients in the experimental group achieved greater improvements in disability (p = 0.001) and quality of life (p = 0.001). The results show that intensive structured rehabilitation is effective in improving the motor function, disability and quality of life of patients with severe acquired brain injury and acquired weakness. The combination of non-immersive virtual reality training and focal muscle vibration can result in a significant improvement in overall disability and quality of life compared with conventional treatment alone.