Epicardial Adipose Tissue Changes After Bariatric and Metabolic Surgery: a Systematic Review and Meta-analysis.

Epicardial adipose tissue (EAT) is a visceral fat depot located between the myocardium and visceral epicardium. Emerging evidence suggests that excessive EAT is linked to increased risk of cardiovascular conditions and other metabolic diseases. A literature search was conducted from the earliest studies to the 26th of November 2022 on PubMed, Embase, and the Cochrane. All the studies evaluating changes in EAT, pericardial adipose tissue (PAT), or total cardiac fat loss before and after BS were included. From 623 articles, 35 were eventually included in the systematic review. Twenty-one studies showed a significant reduction of EAT after BS, and only one study showed a non-significant reduction (p = 0.2).

The Impact of Non-Pharmacological Interventions on Delirium in Neurological Intensive Care Unit Patients: A Single-Center Interrupted Time Series Trial.

Background: Delirium is a pathobiological brain process that is frequently observed in Intensive Care Unit (ICU) patients, and is associated with longer hospitalization as well as long-term cognitive impairment. In neurological ICU patients, delirium may be more treatment-resistant due to the initial brain injury. This study examined the effects of a multicomponent non-pharmacological nursing intervention program on delirium in neurological ICU patients. Methods: A single-center interrupted time series trial was conducted in adult neurological ICU patients at high risk for developing delirium who were non-delirious at admission. A multicomponent nursing intervention program focusing on modifiable risk factors for delirium, including the optimalization of vision, hearing, orientation and cognition, sleep and mobilization, was implemented as the standard of care, and its effects were studied. The primary outcome was the number of delirium-free and coma-free days alive at 28 days after ICU admission. The secondary outcomes included delirium incidence and duration, ICU and hospital length-of-stay and duration of mechanical ventilation. Results: Of 289 eligible patients admitted to the ICU, 130 patients were included, with a mean age of 68 ± 11 years, a mean APACHE-IV score of 79 ± 25 and a median predicted delirium risk (E-PRE-DELIRIC) score of 42 [IQR 38-50]). Of these, 73 were included in the intervention period and 57 in the control period. The median delirium- and coma-free days alive were 15 days [IQR 0-26] in the intervention group and 10 days [IQR 0-24] in the control group (level change -0.48 days, 95% confidence interval (95%CI) -7 to 6 days, p = 0.87; slope change -0.95 days, 95%CI -2.41 to 0.52 days, p = 0.18). Conclusions: In neurological ICU patients, our multicomponent non-pharmacological nursing intervention program did not change the number of delirium-free and coma-free days alive after 28 days.

The ASGLOS Study: A global survey on how predatory journals affect scientific practice.

Predatory journals and conferences are an emerging problem in scientific literature as they have financial motives, without guaranteeing scientific quality and exposure. The main objective of the ASGLOS project is to investigate the predatory e-email characteristics, management, and possible consequences and to analyse the extent of the current problem at each academic level. To collect the personal experiences of physicians' mailboxes on predatory publishing, a Google Form® survey was designed and disseminated from September 2021 to April 2022. A total of 978 responses were analysed from 58 countries around the world. A total of 64.8% of participants indicated the need for 3 or fewer emails to acquire a criticality view in distinguishing a real invitation from a spam, while 11.5% still have doubt regardless of how many emails they get. The AGLOS Study clearly highlights the problem of academic e-mail spam by predatory journals and conferences. Our findings signify the importance of providing academic career-oriented advice and organising training sessions to increase awareness of predatory publishing for those conducting scientific research.

Post-Intensive Care Syndrome in Patients Suffering From Acute Subarachnoid Hemorrhage: Results From an Outpatient Post-ICU Aftercare Clinic.

Introduction Survivors of an acute subarachnoid hemorrhage (aSAH) may suffer from a long-term neurological disability, cognitive impairment, anxiety, and depression, which can also be related to post-intensive care syndrome (PICS). The aim of this study was to examine the prevalence of PICS symptoms in post-intensive care (ICU) aftercare aSAH patients. Methods We conducted an observational cohort study in aSAH patients from a post-ICU aftercare clinic (ICU-AC). PICS symptoms were evaluated using the Impact of Event Scale-Revised (IES-R), Hospital Anxiety and Depression Scale (HADS), and a medical questionnaire for physical and cognitive functioning. Results A total of 110 patients were included. The prevalence of anxiety and depressive symptoms was 23.6% and 19.1%, respectively. Post-traumatic stress disorder (PTSD) was seen in 26.4%. Cognitive complaints were lack of concentration (63.6%), short-term memory loss (45.8%), and reduced speed of thinking (60.9%). The most reported physical complaints were fatigue (73.6%), limitations in daily activity (72.7%), muscle weakness (41.8%), pain (36.4%), and weight loss (30.9%). PICS symptoms related to all three domains were present in 30% of patients. Conclusion The prevalence of PICS in patients after aSAH is high. Even in patients without aSAH-related neurological impairment who were discharged home, a high prevalence of PICS symptoms was reported. Early screening for PICS should comprise all three domains and is important to facilitate a better tailored rehabilitation of these patients.

Delirium-related psychiatric and neurocognitive impairment and the association with post-intensive care syndrome-A narrative review.

INTRODUCTION: Delirium is common among patients admitted to the intensive care unit (ICU) and its impact on the neurocognitive and psychiatric state of survivors is of great interest. These new-onset or worsening conditions, together with physical alterations, are called post-intensive care syndrome (PICS). Our aim is to update on the latest screening and follow-up options for psychological and cognitive sequelae of PICS. METHOD: This narrative review discusses the occurrence of delirium in ICU settings and the relatively new concept of PICS. Psychiatric and neurocognitive morbidities that may occur in survivors of critical illness following delirium are addressed. Future perspectives for practice and research are discussed. RESULTS: There is no "gold standard" for diagnosing delirium in the ICU, but two extensively validated tools, the confusion assessment method for the ICU and the intensive care delirium screening checklist, are often used. PICS complaints are frequent in ICU survivors who have suffered delirium and have been recognized as an important public health and socio-economic problem worldwide. Depression, anxiety, post-traumatic stress disorder, and long-term cognitive impairment are recurrently exhibited. Screening tools for these deficits are discussed, as well as the suggestion of early assessment after discharge and at 3 and 12 months. CONCLUSIONS: Delirium is a complex but common phenomenon in the ICU and a risk factor for PICS. Its diagnosis is challenging with potential long-term adverse outcomes, including psychiatric and cognitive difficulties. The implementation of screening and follow-up protocols for PICS sequelae is warranted to ensure early detection and appropriate management.

Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning.

BACKGROUND: For mechanically ventilated critically ill COVID-19 patients, prone positioning has quickly become an important treatment strategy, however, prone positioning is labor intensive and comes with potential adverse effects. Therefore, identifying which critically ill intubated COVID-19 patients will benefit may help allocate labor resources. METHODS: From the multi-center Dutch Data Warehouse of COVID-19 ICU patients from 25 hospitals, we selected all 3619 episodes of prone positioning in 1142 invasively mechanically ventilated patients. We excluded episodes longer than 24 h. Berlin ARDS criteria were not formally documented. We used supervised machine learning algorithms Logistic Regression, Random Forest, Naive Bayes, K-Nearest Neighbors, Support Vector Machine and Extreme Gradient Boosting on readily available and clinically relevant features to predict success of prone positioning after 4 h (window of 1 to 7 h) based on various possible outcomes. These outcomes were defined as improvements of at least 10% in PaO2/FiO2 ratio, ventilatory ratio, respiratory system compliance, or mechanical power. Separate models were created for each of these outcomes. Re-supination within 4 h after pronation was labeled as failure. We also developed models using a 20 mmHg improvement cut-off for PaO2/FiO2 ratio and using a combined outcome parameter. For all models, we evaluated feature importance expressed as contribution to predictive performance based on their relative ranking. RESULTS: The median duration of prone episodes was 17 h (11-20, median and IQR, N = 2632). Despite extensive modeling using a plethora of machine learning techniques and a large number of potentially clinically relevant features, discrimination between responders and non-responders remained poor with an area under the receiver operator characteristic curve of 0.62 for PaO2/FiO2 ratio using Logistic Regression, Random Forest and XGBoost. Feature importance was inconsistent between models for different outcomes. Notably, not even being a previous responder to prone positioning, or PEEP-levels before prone positioning, provided any meaningful contribution to predicting a successful next proning episode. CONCLUSIONS: In mechanically ventilated COVID-19 patients, predicting the success of prone positioning using clinically relevant and readily available parameters from electronic health records is currently not feasible. Given the current evidence base, a liberal approach to proning in all patients with severe COVID-19 ARDS is therefore justified and in particular regardless of previous results of proning.

Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records.

PURPOSE: To assess, validate and compare the predictive performance of models for in-hospital mortality of COVID-19 patients admitted to the intensive care unit (ICU) over two different waves of infections. Our models were built with high-granular Electronic Health Records (EHR) data versus less-granular registry data. METHODS: Observational study of all COVID-19 patients admitted to 19 Dutch ICUs participating in both the national quality registry National Intensive Care Evaluation (NICE) and the EHR-based Dutch Data Warehouse (hereafter EHR). Multiple models were developed on data from the first 24 h of ICU admissions from February to June 2020 (first COVID-19 wave) and validated on prospective patients admitted to the same ICUs between July and December 2020 (second COVID-19 wave). We assessed model discrimination, calibration, and the degree of relatedness between development and validation population. Coefficients were used to identify relevant risk factors. RESULTS: A total of 1533 patients from the EHR and 1563 from the registry were included. With high granular EHR data, the average AUROC was 0.69 (standard deviation of 0.05) for the internal validation, and the AUROC was 0.75 for the temporal validation. The registry model achieved an average AUROC of 0.76 (standard deviation of 0.05) in the internal validation and 0.77 in the temporal validation. In the EHR data, age, and respiratory-system related variables were the most important risk factors identified. In the NICE registry data, age and chronic respiratory insufficiency were the most important risk factors. CONCLUSION: In our study, prognostic models built on less-granular but readily-available registry data had similar performance to models built on high-granular EHR data and showed similar transportability to a prospective COVID-19 population. Future research is needed to verify whether this finding can be confirmed for upcoming waves.

INCIDENCE, RISK FACTORS, AND OUTCOME OF SUSPECTED CENTRAL VENOUS CATHETER-RELATED INFECTIONS IN CRITICALLY ILL COVID-19 PATIENTS: A MULTICENTER RETROSPECTIVE COHORT STUDY.

ABSTRACT: Background: Aims of this study were to investigate the prevalence and incidence of catheter-related infection, identify risk factors, and determine the relation of catheter-related infection with mortality in critically ill COVID-19 patients. Methods: This was a retrospective cohort study of central venous catheters (CVCs) in critically ill COVID-19 patients. Eligible CVC insertions required an indwelling time of at least 48 hours and were identified using a full-admission electronic health record database. Risk factors were identified using logistic regression. Differences in survival rates at day 28 of follow-up were assessed using a log-rank test and proportional hazard model. Results: In 538 patients, a total of 914 CVCs were included. Prevalence and incidence of suspected catheter-related infection were 7.9% and 9.4 infections per 1,000 catheter indwelling days, respectively. Prone ventilation for more than 5 days was associated with increased risk of suspected catheter-related infection; odds ratio, 5.05 (95% confidence interval 2.12-11.0). Risk of death was significantly higher in patients with suspected catheter-related infection (hazard ratio, 1.78; 95% confidence interval, 1.25-2.53). Conclusions: This study shows that in critically ill patients with COVID-19, prevalence and incidence of suspected catheter-related infection are high, prone ventilation is a risk factor, and mortality is higher in case of catheter-related infection.

Subarachnoidal hemorrhage related cardiomyopathy: an overview of Tako-Tsubo cardiomyopathy and related cardiac syndromes.

INTRODUCTION: Subarachnoid hemorrhage (SAH) is caused by a ruptured intracranial aneurysm leading to acute extravasation of blood into the subarachnoid space. SAH has an incidence of 6.3 per 100,000 persons per year in Europe and accounts for 5% of all strokes. SAH occurs at a relatively young age and has poor clinical outcomes and high mortality rates. Cardiac syndromes are regularly seen in patients with acute neurologic disease including SAH. These cardiac complications of SAH are associated with increased morbidity and mortality and present in a large variety and severity. AREAS COVERED: The main goal of this review is to describe the SAH-related cardiac syndromes. Secondly, we will provide an overview of the underlying pathophysiology regarding the development of cardiac syndromes. Thirdly, we will describe the impact of cardiac syndromes on patient outcome. EXPERT OPINION: Of all neurology patients, SAH patients have the highest risk of developing takotsubo syndrome (TTS), occurring in about 0.8-30% of patients. Both TTS and neurogenic stunned myocardium have many similarities on echocardiographic evaluation. In European Cardiology consensus, SAH is recognized as a primary cause of TTS.

Mid-regional proadrenomedullin, C-terminal proendothelin-1 values, and disease course are not different in critically ill SARS-CoV-2 pneumonia patients with obesity.

BACKGROUND/OBJECTIVES: Patients affected by obesity and Coronavirus disease 2019, the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), appear to have a higher risk for intensive care (ICU) admission. A state of low-grade chronic inflammation in obesity has been suggested as one of the underlying mechanisms. We investigated whether obesity is associated with differences in new inflammatory biomarkers mid-regional proadrenomedullin (MR-proADM), C-terminal proendothelin-1 (CT-proET-1), and clinical outcomes in critically ill patients with SARS-CoV-2 pneumonia. SUBJECTS/METHODS: A total of 105 critically ill patients with SARS-CoV-2 pneumonia were divided in patients with obesity (body mass index (BMI) ≥ 30 kg/m2, n = 42) and patients without obesity (BMI < 30 kg/m2, n = 63) and studied in a retrospective observational cohort study. MR-proADM, CT-proET-1 concentrations, and conventional markers of white blood count (WBC), C-reactive protein (CRP), and procalcitonin (PCT) were collected during the first 7 days. RESULTS: BMI was 33.5 (32-36.1) and 26.2 (24.7-27.8) kg/m2 in the group with and without obesity. There were no significant differences in concentrations MR-proADM, CT-proET-1, WBC, CRP, and PCT at baseline and the next 6 days between patients with and without obesity. Only MR-proADM changed significantly over time (p = 0.039). Also, BMI did not correlate with inflammatory biomarkers (MR-proADM rho = 0.150, p = 0.125, CT-proET-1 rho = 0.179, p = 0.067, WBC rho = -0.044, p = 0.654, CRP rho = 0.057, p = 0.564, PCT rho = 0.022, p = 0.842). Finally, no significant differences in time on a ventilator, ICU length of stay, and 28-day mortality between patients with or without obesity were observed. CONCLUSIONS: In critically ill patients with confirmed SARS-CoV-2 pneumonia, obesity was not associated with differences in MR-proADM, and CT-proET-1, or impaired outcome. TRIAL REGISTRATION: Netherlands Trial Register, NL8460.

C-Terminal Proarginine Vasopressin is Associated with Disease Outcome and Mortality, but not with Delayed Cerebral Ischemia in Critically Ill Patients with an Aneurysmal Subarachnoid Hemorrhage: A Prospective Cohort Study.

BACKGROUND: Aneurysmal subarachnoid hemorrhage (aSAH) is an important indication for intensive care unit admission and may lead to significant morbidity and mortality. We assessed the ability of C-terminal proarginine vasopressin (CT-proAVP) to predict disease outcome, mortality, and delayed cerebral ischemia (DCI) in critically ill patients with aSAH compared with the World Federation of Neurological Surgeons (WFNS) score and Acute Physiological and Chronic Health Evaluation IV (APACHE IV) model. METHODS: C-terminal proarginine vasopressin was collected on admission in this single-center, prospective, observational cohort study. The primary aim was to investigate the relationship between CT-proAVP and poor functional outcome at 1 year (Glasgow Outcome Scale score 1-3) in a multivariable logistic regression model adjusted for WFNS and APACHE IV scores. Secondary aims were mortality and DCI. The multivariable logistic regression model for DCI was also adjusted for the modified Fisher scale. RESULTS: In 100 patients, the median CT-proAVP level was 24.9 pmol/L (interquartile range 11.5-53.8); 45 patients had a poor 1-year functional outcome, 19 patients died within 30 days, 25 patients died within 1 year, and DCI occurred in 28 patients. Receiver operating characteristics curves revealed high accuracy for CT-proAVP to identify patients with poor 1-year functional outcome (area under the curve [AUC] 0.84, 95% confidence interval [CI] 0.77-0.92, p < 0.001), 30-day mortality (AUC 0.84, 95% CI 0.76-0.93, p < 0.001), and 1-year mortality (AUC 0.79, 95% CI 0.69-0.89, p < 0.001). CT-proAVP had a low AUC for identifying patients with DCI (AUC 0.67, 95% CI 0.55-0.79, p 0.008). CT-proAVP ≥ 24.9 pmo/L proved to be a significant predictor for poor 1-year functional outcome (odds ratio [OR] 8.04, 95% CI 2.97-21.75, p < 0.001), and CT-proAVP ≥ 29.1 pmol/L and ≥ 27.7 pmol/L were significant predictors for 30-day and 1-year mortality (OR 9.31, 95% CI 1.55-56.07, p 0.015 and OR 5.15, 95% CI 1.48-17.93, p 0.010) in multivariable models with WFNS and APACHE IV scores. CT-proAVP ≥ 29.5 pmol/L was not a significant predictor for DCI in a multivariable model adjusted for the modified Fisher scale (p = 0.061). CONCLUSIONS: C-terminal proarginine vasopressin was able to predict poor functional outcome and mortality in critically ill patients with aSAH. Its prognostic ability to predict DCI was low. TRIAL REGISTRATION: Nederlands Trial Register: NTR4118.

Bereavement Support Programs in the Intensive Care Unit: A Systematic Review.

OBJECTIVES: The death of a loved one in the intensive care unit (ICU) may have a psychological impact on relatives of deceased ICU patients. The first aim of this review is to give an overview of different bereavement support strategies and possible different effects on anxiety, depression, Post-traumatic Stress Disorder (PTSD), and complicated grief. Secondly to assess if there is a difference in organization among bereavement support strategies mentioned in literature. METHODS: A multi-database search (Pubmed, Web of Science, PsychInfo, Medline, and Embase) was conducted until February 6, 2021. Articles were screened and selected by two independent researchers. Methodological quality of the included articles was assessed using the Delphi List for Quality Assessment of Randomized Clinical Trials and the Newcastle-Ottawa scale (NOS) for nonrandomized trials. RESULTS: The primary literature search revealed 1668 articles, including 769 duplicates. Seven articles were included in this review, of which six were randomized controlled trials and one was a prospective cross-sectional study. We found that a bereavement strategy consisting of a communication strategy and a brochure lowered the appearance of symptoms of PTSD, anxiety, and depression. A brochure, condolence card, and phone call as bereavement support can lower the risk of prolonged grief. Receiving information about CPR and getting the choice to attend CPR led to fewer frequencies of PTSD, depression, and traumatic/complicated grief. SIGNIFICANCE OF RESULTS: A bereavement strategy consisting of multiple parts, including family participation and a brochure may reduce the levels of anxiety, depression, PTSD, and/or complicated bereavement in family members of deceased ICU patients.

Non-alcoholic fatty liver disease (NAFLD): a review of pathophysiology, clinical management and effects of weight loss.

Given the increasing prevalence of diabetes and obesity worldwide, the deleterious effects of non-alcoholic fatty liver disease (NAFLD) are becoming a growing challenge for public health. NAFLD is the most common chronic liver disease in the Western world. NAFLD is closely associated with metabolic disorders, including central obesity, dyslipidaemia, hypertension, hyperglycaemia and persistent abnormalities of liver function tests.In general NAFLD is a common denominer for a broad spectrum of damage to the liver, which can be due to hepatocyte injury, inflammatory processes and fibrosis. This is normally seen on liver biopsy and can range from milder forms (steatosis) to the more severe forms (non-alcoholic steatohepatitis (NASH), advanced fibrosis, cirrhosis and liver failure). In these patients, advanced fibrosis is the major predictor of morbidity and liver-related mortality, and an accurate diagnosis of NASH and NAFLD is mandatory. Histologic evaluation with liver biopsy remains the gold standard to diagnose NAFLD. Diagnosis of NAFLD is defined as presence of hepatic steatosis, ballooning and lobular inflammation with or without fibrosis. Weight loss, dietary modification, and the treatment of underlying metabolic syndrome remain the mainstays of therapy once the diagnosis is established. Dietary recommendations and lifestyle interventions, weight loss, and the treatment of underlying metabolic syndrome remain the mainstays of therapy once the diagnosis is established with promising results but are difficult to maintain. Pioglitazone and vitamin E are recommended by guidelines in selected patients. This review gives an overview of NAFLD and its treatment options.

The association between obesity and pressure ulcer development in critically ill patients: A prospective cohort study.

BACKGROUND: Pressure ulcers (PUs) are one of the leading potentially preventable adverse events in the hospital. Critically ill patients are at risk for the development of PUs. The primary aim of the study was to investigate the relation of PUs and obesity in critically ill ICU patients. METHODS: A single center prospective cohort study was conducted on adult patients with obesity (defined as a body mass index BMI ≥ 30 kg/m2) and patients without obesity (BMI 18-25 kg/m2) admitted to the intensive care unit between May 2013 and July 2017 with an ICU length of stay of at least 3 days without pre-existing PUs at admission. RESULTS: 851 of 1205 patients (70.6%) had a normal BMI and 354 (29.4%) had a BMI ≥ 30 kg/m2 and were considered obese. Overall, 157 patients (13.0%) developed PUs; 112/851 (13.2%) of patients without obesity and 45/354 (12.7%) of patients with obesity (p = 0.907). There was no difference in the severity (p = 0.609) and PU location (p = 0.261). Mean days to PU development was 11.1; 11.7 days for patients without obesity and 9.5 days for patients with obesity (p = 0.270). Mean days to PU recovery was 13.2, which was 14.1 days for patients without obesity and 10.8 days for patients with obesity (p = 0.215). A multivariate logistic regression model showed no significant correlation between the occurrence of PUs in the ICU and obesity (OR 0.875 with 95% CI 0.528-1.448, p = 0.594). Subgroup analysis showed that patients with morbid obesity (BMI ≥ 40 kg/m2) developed PUs earlier during ICU admission when compared to patients without obesity (p = 0.004). CONCLUSION: Our study demonstrates that obesity is not an independent risk factor for the development of PUs in the ICU. However, patients with morbid obesity might develop PUs earlier compared to patients without obesity.

Enteral nutrition interruptions in the intensive care unit: A prospective study.

OBJECTIVE: The aim of this study was to provide insight into the causes, frequency, and periods of enteral nutrition interruption (ENI) that occur in the intensive care unit (ICU). METHODS: This was a prospective, observational cohort study conducted in the ICU. Demographic data, admission and discharge data, mortality, days of intubation, use of prokinetic drugs, initiation time of enteral nutrition, daily calculated targets of calories and protein, actual daily calories and protein delivered, and duration and causes of ENI were recorded and analyzed. RESULTS: In total, 165 patients were assessed for eligibility during the study inclusion period, 61 of whom were included in our study. Mean age was 60.8 ± 14.3 y, and the majority (41, 67.2%) of participants were men. In the first four study days, approximately 20% of participants had at least one episode of ENI, which gradually decreased until the seventh study day. A total of 115 ENIs occurred in our 7-d follow-up period. The most ENIs occurred in the first 3 d of ICU admission. In the first 4 d, there was a significant difference between mean percentage of goal feeding reached in the ENI group versus the group without periods of ENI (P < 0.001). CONCLUSIONS: The prevalence of unplanned ENIs in ICU patients is highest in the first 3 d of admission. The main cause of ENIs was diagnostic reasons. The ENIs resulted in an average of approximately 25% of patients failing to meet calculated caloric and protein requirements during the first 4 d of admission.

Psychological counselling in patients with a peripheral facial palsy: initial experience from an expert centre.

BACKGROUND: The aims of this pilot study were to evaluate the psychologist's role on the multidisciplinary team during peripheral facial palsy (PFP) patient care and to identify the potential predictors of anxiety and depressive symptoms/disorders in PFP patients. METHODS: Using the prospective non-controlled study design, PFP patients aged 18-75 years who presented to the Radboud Facial Palsy Expert Centre, the Netherlands, were enrolled during a 1-year interval. The main outcome variables were 1) anxiety and depression in relation to PFP using the Hospital Anxiety and Depression Scale (HADS) and 2) the outcome of psychological counselling in patients with a HADS score ≥ 8. RESULTS: A sample comprised 25 patients (68% females, 56% right-side PFP, 16% House-Brackmann scale I-II) with a mean age of 50 ± 14 years were referred to a psychologist. The proportion of patients with a HADS score ≥8, were 16 (64%) and 13 (52%), respectively. Especially, coping (in general or coping with the disease, 48%) and/or help with the choice of possible surgery (8.0%) were important reasons for counselling. In one case, a patient had chronic fatigue syndrome and was therefore referred to a psychological specialist centre. One patient was treated with acceptance and commitment therapy (ACT) with good results. CONCLUSIONS: Despite a small sample size and limited statistical analyses, the results of this study suggest that one-eighth of the PFP patients require psychological evaluation and treatments. This pilot study emphasises the important role of psychological screening and counselling in PFP patient care.

The many faces of diabetes. Is there a need for re-classification? A narrative review.

The alarming rise in the worldwide prevalence of obesity and associated type 2 diabetes mellitus (T2DM) have reached epidemic portions. Diabetes in its many forms and T2DM have different physiological backgrounds and are difficult to classify. Bariatric surgery (BS) is considered the most effective treatment for obesity in terms of weight loss and comorbidity resolution, improves diabetes, and has been proven superior to medical management for the treatment of diabetes. The term metabolic surgery (MS) describes bariatric surgical procedures used primarily to treat T2DM and related metabolic conditions. MS is the most effective means of obtaining substantial and durable weight loss in individuals with obesity. Originally, BS was used as an alternative weight-loss therapy for patients with severe obesity, but clinical data revealed its metabolic benefits in patients with T2DM. MS is more effective than lifestyle or medical management in achieving glycaemic control, sustained weight loss, and reducing diabetes comorbidities. New guidelines for T2DM expand the use of MS to patients with a lower body mass index.Evidence has shown that endocrine changes resulting from BS translate into metabolic benefits that improve the comorbid conditions associated with obesity, such as hypertension, dyslipidemia, and T2DM. Other changes include bacterial flora rearrangement, bile acids secretion, and adipose tissue effect.This review aims to examine the physiological mechanisms in diabetes, risks for complications, the effects of bariatric and metabolic surgery and will shed light on whether diabetes should be reclassified.

Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in-hospital mortality.

BACKGROUND: The prediction of in-hospital mortality for ICU patients with COVID-19 is fundamental to treatment and resource allocation. The main purpose was to develop an easily implemented score for such prediction. METHODS: This was an observational, multicenter, development, and validation study on a national critical care dataset of COVID-19 patients. A systematic literature review was performed to determine variables possibly important for COVID-19 mortality prediction. Using a logistic multivariable model with a LASSO penalty, we developed the Rapid Evaluation of Coronavirus Illness Severity (RECOILS) score and compared its performance against published scores. RESULTS: Our development (validation) cohort consisted of 1480 (937) adult patients from 14 (11) Dutch ICUs admitted between March 2020 and April 2021. Median age was 65 (65) years, 31% (26%) died in hospital, 74% (72%) were males, average length of ICU stay was 7.83 (10.25) days and average length of hospital stay was 15.90 (19.92) days. Age, platelets, PaO2/FiO2 ratio, pH, blood urea nitrogen, temperature, PaCO2, Glasgow Coma Scale (GCS) score measured within +/-24 h of ICU admission were used to develop the score. The AUROC of RECOILS score was 0.75 (CI 0.71-0.78) which was higher than that of any previously reported predictive scores (0.68 [CI 0.64-0.71], 0.61 [CI 0.58-0.66], 0.67 [CI 0.63-0.70], 0.70 [CI 0.67-0.74] for ISARIC 4C Mortality Score, SOFA, SAPS-III, and age, respectively). CONCLUSIONS: Using a large dataset from multiple Dutch ICUs, we developed a predictive score for mortality of COVID-19 patients admitted to ICU, which outperformed other predictive scores reported so far.

Predictors for extubation failure in COVID-19 patients using a machine learning approach.

INTRODUCTION: Determining the optimal timing for extubation can be challenging in the intensive care. In this study, we aim to identify predictors for extubation failure in critically ill patients with COVID-19. METHODS: We used highly granular data from 3464 adult critically ill COVID patients in the multicenter Dutch Data Warehouse, including demographics, clinical observations, medications, fluid balance, laboratory values, vital signs, and data from life support devices. All intubated patients with at least one extubation attempt were eligible for analysis. Transferred patients, patients admitted for less than 24 h, and patients still admitted at the time of data extraction were excluded. Potential predictors were selected by a team of intensive care physicians. The primary and secondary outcomes were extubation without reintubation or death within the next 7 days and within 48 h, respectively. We trained and validated multiple machine learning algorithms using fivefold nested cross-validation. Predictor importance was estimated using Shapley additive explanations, while cutoff values for the relative probability of failed extubation were estimated through partial dependence plots. RESULTS: A total of 883 patients were included in the model derivation. The reintubation rate was 13.4% within 48 h and 18.9% at day 7, with a mortality rate of 0.6% and 1.0% respectively. The grandient-boost model performed best (area under the curve of 0.70) and was used to calculate predictor importance. Ventilatory characteristics and settings were the most important predictors. More specifically, a controlled mode duration longer than 4 days, a last fraction of inspired oxygen higher than 35%, a mean tidal volume per kg ideal body weight above 8 ml/kg in the day before extubation, and a shorter duration in assisted mode (< 2 days) compared to their median values. Additionally, a higher C-reactive protein and leukocyte count, a lower thrombocyte count, a lower Glasgow coma scale and a lower body mass index compared to their medians were associated with extubation failure. CONCLUSION: The most important predictors for extubation failure in critically ill COVID-19 patients include ventilatory settings, inflammatory parameters, neurological status, and body mass index. These predictors should therefore be routinely captured in electronic health records.