Objective: An extensive number of predictors has been examined across the literature to improve knowledge of relapse in anorexia nervosa (AN). These studies provide various recovery and relapse... Show moreObjective: An extensive number of predictors has been examined across the literature to improve knowledge of relapse in anorexia nervosa (AN). These studies provide various recovery and relapse definitions, follow-up durations and relapse rates. The current study summarizes these values and predictors of relapse in AN in a review and meta-analysis.Method: The study was executed according to PRISMA guidelines. Different databases were searched and studies in which participants did not receive an official clinical diagnosis were excluded. A quality analysis was performed using the National Institute of Health's Study Quality Assessment Tool. Random-effects meta-analyses were conducted to summarize data.Results: Definitions of relapse and recovery were diverse. During an average follow-up period of 31 months an average relapse rate of 37% was found. Predictive variables from 28 studies were grouped in six categories: age and sex, symptoms and behaviors, AN subtype and duration, weight or weight change, comorbidity, and personality. The studies were characterized by non-significant and contradictory results. Meta-analyses were performed for the predictors age, AN duration, pre-treatment BMI, post-treatment BMI and depression. These yielded significant effects for post-treatment BMI and depression: higher pre-treatment depression (SMD = .40 CI [.21-.59] and lower post-treatment BMI (SMD = -.35 CI [-.63 to -.07]) increased relapse chances in AN.Discussion: Our results emphasized a lack of sufficiently powered studies, consistent results, and robust findings. Solely post-treatment BMI and pre-treatment depression predicted relapse. Future research should use uniform definitions, larger samples and better designs, to improve our understanding of relapse in AN.Public significance: Knowledge about predictors is important to understand high relapse rates. Our study performed a review and meta-analysis of relapse predictors in AN. Related to the heterogeneity in studies examining predictors, an overview of relapse and recovery definitions, follow-up durations and relapse rates for AN was provided. Significant effects were found for post-treatment BMI and pre-treatment depression. More studies with uniform definitions are needed to improve clinical implications. Show less
ObjectiveTo optimize treatment recommendations for eating disorders, it is important to investigate whether some individuals may benefit more (or less) from certain treatments. The current study... Show moreObjectiveTo optimize treatment recommendations for eating disorders, it is important to investigate whether some individuals may benefit more (or less) from certain treatments. The current study explored predictors and moderators of an automated online self-help intervention “Featback” and online support from a recovered expert patient.MethodsData were used from a randomized controlled trial. For a period of 8 weeks, participants aged 16 or older with at least mild eating disorder symptoms were randomized to four conditions: (1) Featback, (2) chat or e-mail support from an expert patient, (3) Featback with expert-patient support, and (4) a waitlist. A mixed-effects partitioning method was used to see if age, educational level, BMI, motivation to change, treatment history, duration of eating disorder, number of binge eating episodes in the past month, eating disorder pathology, self-efficacy, anxiety and depression, social support, or self-esteem predicted or moderated intervention outcomes in terms of eating disorder symptoms (primary outcome), and symptoms of anxiety and depression (secondary outcome).ResultsHigher baseline social support predicted less eating disorder symptoms 8 weeks later, regardless of condition. No variables emerged as moderator for eating disorder symptoms. Participants in the three active conditions who had not received previous eating disorder treatment, experienced larger reductions in anxiety and depression symptoms.DiscussionThe investigated online low-threshold interventions were especially beneficial for treatment-naïve individuals, but only in terms of secondary outcomes, making them well-suited for early intervention. The study results also highlight the importance of a supportive environment for individuals with eating disorder symptoms.Public SignificanceTo optimize treatment recommendations it is important to investigate what works for whom. For an internet-based intervention for eating disorders developed in the Netherlands, individuals who had never received eating disorder treatment seemed to benefit more from the intervention than those who had received eating disorder treatment, because they experienced larger reductions in symptoms of depression and anxiety. Stronger feelings of social support were related to less eating disorder symptoms in the future. Show less
Mikolic, A.; Steyerberg, E.W.; Polinder, S.; Wilson, L.; Zeldovich, M.; Steinbuechel, N. von; ... ; CENTER-TBI Participants 2023
After mild traumatic brain injury (mTBI), a substantial proportion of individuals do not fully recover on the Glasgow Outcome Scale Extended (GOSE) or experience persistent post-concussion symptoms... Show moreAfter mild traumatic brain injury (mTBI), a substantial proportion of individuals do not fully recover on the Glasgow Outcome Scale Extended (GOSE) or experience persistent post-concussion symptoms (PPCS). We aimed to develop prognostic models for the GOSE and PPCS at 6 months after mTBI and to assess the prognostic value of different categories of predictors (clinical variables; questionnaires; computed tomography [CT]; blood biomarkers). From the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, we included participants aged 16 or older with Glasgow Coma Score (GCS) 13-15. We used ordinal logistic regression to model the relationship between predictors and the GOSE, and linear regression to model the relationship between predictors and the Rivermead Post-concussion Symptoms Questionnaire (RPQ) total score. First, we studied a pre-specified Core model. Next, we extended the Core model with other clinical and sociodemographic variables available at presentation (Clinical model). The Clinical model was then extended with variables assessed before discharge from hospital: early post-concussion symptoms, CT variables, biomarkers, or all three categories (extended models). In a subset of patients mostly discharged home from the emergency department, the Clinical model was extended with 2-3-week post-concussion and mental health symptoms. Predictors were selected based on Akaike's Information Criterion. Performance of ordinal models was expressed as a concordance index (C) and performance of linear models as proportion of variance explained (R2). Bootstrap validation was used to correct for optimism. We included 2376 mTBI patients with 6-month GOSE and 1605 patients with 6-month RPQ. The Core and Clinical models for GOSE showed moderate discrimination (C = 0.68 95% confidence interval 0.68 to 0.70 and C = 0.70[0.69 to 0.71], respectively) and injury severity was the strongest predictor. The extended models had better discriminative ability (C = 0.71[0.69 to 0.72] with early symptoms; 0.71[0.70 to 0.72] with CT variables or with blood biomarkers; 0.72[0.71 to 0.73] with all three categories). The performance of models for RPQ was modest (R2 = 4% Core; R2 = 9% Clinical), and extensions with early symptoms increased the R2 to 12%. The 2-3-week models had better performance for both outcomes in the subset of participants with these symptoms measured (C = 0.74 [0.71 to 0.78] vs. C = 0.63[0.61 to 0.67] for GOSE; R2 = 37% vs. 6% for RPQ). In conclusion, the models based on variables available before discharge have moderate performance for the prediction of GOSE and poor performance for the prediction of PPCS. Symptoms assessed at 2-3 weeks are required for better predictive ability of both outcomes. The performance of the proposed models should be examined in independent cohorts. Show less
Bree, E.S.J. van; Slof-Op'tLandt, M.C.T.; Furth, E.F. van 2023
ObjectiveOnly half of the patients with eating disorders (EDs) fully recover. To increase these rates, knowledge about predictors is essential. Previous studies found that purging behaviors, BMI,... Show moreObjectiveOnly half of the patients with eating disorders (EDs) fully recover. To increase these rates, knowledge about predictors is essential. Previous studies found that purging behaviors, BMI, ED duration, and depression, predicted symptomatic ED recovery. The current study investigated these four predictors for symptomatic improvement and the subjective experience of recovery. MethodParticipants who completed the baseline and second wave of the Netherlands Eating disorder Registry (NER) (N = 374), were categorized into: (1) Subjective recovery; (2) Clinical improvement; (3) Symptomatic recovery. Using regression analyses, it was investigated if the four baseline factors predicted recovery at wave two. Effects were compared among a binge-purging and restricting group. ResultsIn total, 136 participants were subjectively recovered, 135 showed clinical improvement, and 70 were symptomatically recovered. Overlap occurred between definitions. Lower depression scores predicted subjective recovery (OR 0.77, p < .001) and clinical improvement (OR 0.80, p < .001), and shorter ED duration predicted all definitions (OR 0.99, p < .001; OR 0.99, p < .001; OR 0.99, p = .013). Similar effects were found in the binge-purging group. DiscussionOur study emphasized that the same predictors, like depression, apply to symptomatic improvement and the personal experience of recovery. Depression appears an important factor during ED treatment. Public significanceRecovery rates for EDs are low. To understand this, knowledge about predictors of ED recovery is essential. This study examined the effects of four established predictors across symptomatic improvement and subjective recovery (a more personal experience of recovery). Lower depression scores predicted both, indicating that depression appears important for multiple definitions of recovery and therefore warrants attention during ED treatment. Show less
BackgroundNocebo and placebo effects, i.e., adverse or beneficial treatment effects, respectively, putatively due to expectancies can modulate pain and itch. These effects can generalize within the... Show moreBackgroundNocebo and placebo effects, i.e., adverse or beneficial treatment effects, respectively, putatively due to expectancies can modulate pain and itch. These effects can generalize within the pain or itch modality. Predicting the induction and generalization of these effects can be helpful in clinical practice. This study aims to investigate whether psychological characteristics related to the fear-avoidance model predict the induction and generalization of nocebo and placebo effects on pain and itch in young healthy participants. MethodsData from two previous experiments were analyzed. In Experiment 1, we induced nocebo and placebo effects on heat pain and tested generalization to pressure pain and to cowhage-evoked itch (n = 33 in a nocebo group, n = 32 in a placebo group). In Experiment 2, we induced nocebo effects on cowhage-evoked itch and tested generalization to mechanical itch and to mechanical touch (n = 44). Potential predictors were anxiety- and stress symptoms, attention to pain/itch, and pain/itch catastrophizing. Multiple regression analyses were performed. ResultsFor nocebo effects, none of the individual psychological characteristics significantly predicted induction of nocebo effects nor their generalization. For placebo effects, only less stress symptoms, lower attention to pain, and higher pain catastrophizing weakly predicted a stronger generalization of placebo effects from heat pain to pressure pain. ConclusionThe tested psychological characteristics may not play an important role in the induction and generalization of nocebo and placebo effects in healthy individuals. However, firm conclusions cannot be drawn with the current sample. Future studies should validate findings in larger and more diverse samples. Show less
Background: Residual risk of ischemic stroke despite anticoagulation in patients with atrial fibrillation (AF) represents a significant clinical issue that remains unaddressed. We aimed to evaluate... Show moreBackground: Residual risk of ischemic stroke despite anticoagulation in patients with atrial fibrillation (AF) represents a significant clinical issue that remains unaddressed. We aimed to evaluate the incidence and risk factors for residual adverse events in AF. Methods and Results: Using data from phase II/III of the prospective GLORIA-AF (Global Registry on Long-Term Oral Anti-thrombotic Treatment in Patients With Atrial Fibrillation) registry, we studied anticoagulated patients with newly diagnosed AF and an increased risk of stroke (CHA(2)DS(2)-VASc >= 1). The primary outcome of interest was ischemic stroke. Secondary outcomes were all-cause death, cardiovascular death and myocardial infarction. A total of 22 410 patients were included; median age 65 (interquartile range 71-78) and 10 044 (44.8%) were female. During a median follow-up period of 3.0 (interquartile range 2.2-3.1) years, the incidence of ischemic stroke was 0.60 (95% CI, 0.54-0.67) per 100-PYs, all-cause death 3.22 (95% CI, 3.08-3.37) per 100-PYs, cardiovascular death 1.08 (95% CI, 1.00-1.16) per 100-PYs and myocardial infarction 0.59 (95% CI, 0.53-0.66) per 100-PYs. Using multivariable Cox proportional hazards analysis, independent predictors of residual ischemic stroke were age (HR 1.05 [95% CI, 1.03-1.07]), diabetes (HR 1.42 [95% CI, 1.08-1.87]), prior thromboembolism (HR 2.27 [95% CI, 1.73-2.98]) and use of antiarrhythmic drugs (HR 0.66 [95% CI, 0.47-0.92]). The incidence of ischemic stroke was comparable among patients treated with nonvitamin K antagonist oral anticoagulants versus vitamin K antagonist; however, there were differences in the independent predictors between both groups. Conclusions: Patients with AF remain at significant residual risk of developing complications including ischemic stroke despite anticoagulation therapy. Further efforts among these patients should be directed at the management of modifiable risk factors that contribute to this risk. Show less
It is important to gain more insight into the cardiogenic shock (CS) population, as currently, little is known on how to improve outcomes. Therefore, we assessed clinical outcome in acute coronary... Show moreIt is important to gain more insight into the cardiogenic shock (CS) population, as currently, little is known on how to improve outcomes. Therefore, we assessed clinical outcome in acute coronary syndrome (ACS) patients treated by percutaneous coronary intervention (PCI) with and without CS at admission. Furthermore, the incidence of CS and predictors for mortality in CS patients were evaluated. The Netherlands Heart Registration (NHR) is a nationwide registry on all cardiac interventions. We used NHR data of ACS patients treated with PCI between 2015 and 2019. Among 75,407 ACS patients treated with PCI, 3028 patients (4.1%) were identified with CS, respectively 4.3%, 3.9%, 3.5%, and 4.3% per year. Factors associated with mortality in CS were age (HR 1.02, 95%CI 1.02-1.03), eGFR (HR 0.98, 95%CI 0.98-0.99), diabetes mellitus (DM) (HR 1.25, 95%CI 1.08-1.45), multivessel disease (HR 1.22, 95%CI 1.06-1.39), prior myocardial infarction (MI) (HR 1.24, 95%CI 1.06-1.45), and out-of-hospital cardiac arrest (OHCA) (HR 1.71, 95%CI 1.50-1.94). In conclusion, in this Dutch nationwide registry-based study of ACS patients treated by PCI, the incidence of CS was 4.1% over the 4-year study period. Predictors for mortality in CS were higher age, renal insufficiency, presence of DM, multivessel disease, prior MI, and OHCA. Show less
Background: Older persons may suffer more from travel-related health problems because of ageing and underlying chronic disorders. Knowledge on who is more likely to have these health problems helps... Show moreBackground: Older persons may suffer more from travel-related health problems because of ageing and underlying chronic disorders. Knowledge on who is more likely to have these health problems helps to tailor travel health advice more specifically. This study aimed to determine predictors of travel-related morbidity in older travellers by assessing their pre-travel characteristics and performance using physical and cognitive functioning tests.Methods: Multicentre prospective cohort study among older travellers (>= 60 years) who consulted one of the participating Dutch travel clinics. Handgrip strength and cognitive performance were measured pre-travel. Participants completed questionnaires before departure and 1 and 4 weeks after return. A diary recorded health complaints during travel until 2-week post-travel.Results: In total, 477 travellers completed the study (follow-up rate of 97%). Participants' median age was 66 years. The most visited regions were South-East Asia (34%) and South Asia (14%). Median travel duration was 19 days. Polypharmacy (>= 5 medications per day) was not uncommon (16%). The median Charlson Comorbidity Index (CCI) score was 0. Self-reported travel-related infectious diseases concerned primarily respiratory tract infections (21%) and gastroenteritis (10%) whereas non-infectious complaints were injuries (13%), peripheral edema (12%) and dehydration (3%). Medical assistance was sought by 18%, mostly post-travel from their general practitioner (87%). Self-reported physical and mental health-related quality of life significantly improved during and after travel. Predictors for an increased risk of travel-related morbidity were higher CCI score, more travel experience, longer travel duration, higher number of daily medications, visiting northern Africa or South-East and East Asia, and phone and social media use.Conclusion: Older Dutch travellers are generally fit, well-prepared and suffer not only from common infectious health problems, but also from injuries. Travel improved their self-perceived health. The predictors could be used to identify the more at-risk older traveller and to decrease travel-related morbidity by optimizing pre-travel advice. Show less
Objectives: To identify factors associated with the development of prolonged pain after hip fracture surgery. Design: Secondary analysis of a randomized controlled trial. Setting: Eighty hospitals... Show moreObjectives: To identify factors associated with the development of prolonged pain after hip fracture surgery. Design: Secondary analysis of a randomized controlled trial. Setting: Eighty hospitals in 10 countries. Patients/Participants: One thousand four hundred forty-one hip fracture patients in the HEALTH trial. Interventions: Total hip arthroplasty or hemiarthroplasty. Main Outcome Measures: Moderate-to-severe pain (at least 2 activities on the Western Ontario and McMaster Universities Osteoarthritis questionnaire pain subscale with scores >= 2) at 12 and 24 months after hip arthroplasty. Results: Of 840 and 726 patients with complete baseline data and outcomes at 1-year and 2-year follow-up, 96 (11.4%) and 80 (11.0%) reported moderate-to-severe pain, respectively. An increased risk of pain at both 1 and 2 years after surgery was associated with reporting moderate-to-severe hip pain before fracture [absolute risk increase (ARI) 15.3%, 95% confidence interval (CI) 6.44%-24.35%; ARI 12.5%, 95% CI 2.85%-22.12%, respectively] and prefracture opioid use (ARI 15.6%, 95% CI 5.41%-25.89%; ARI 21.1%; 95% CI 8.23%-34.02%, respectively). Female sex was associated with an increased risk of persistent pain at 1 year (ARI 6.2%, 95% CI 3.53%-8.84%). A greater risk of persistent pain at 2 years was associated with younger age (<= 79-year-old; ARI 6.3%; 95% CI 2.67%-9.91%) and higher prefacture functional status (ARI 10.7%; 95% CI 3.80%-17.64%). Conclusions: Among hip fracture patients undergoing arthroplasty, approximately one in 10 will experience moderate-to-severe pain up to 2 years after surgery. Younger age, female sex, higher functioning prefracture, living with hip pain prefracture, and use of prescription opioids were predictive of persistent pain. Show less
Executive functions play an important role in mediating self-control and self-regulation. It has been suggested that the inability to control eating in Binge Eating Disorder (BED) may indicate... Show moreExecutive functions play an important role in mediating self-control and self-regulation. It has been suggested that the inability to control eating in Binge Eating Disorder (BED) may indicate inefficiencies in executive functioning. This study investigated whether executive functioning predicted cognitive behavioural therapy outcome in BED while accounting for other possible predictors: depressive symptoms, interpersonal factors, eating disorder psychopathology, and self-esteem. Executive functioning and other predictors were assessed in 91 patients with BED by means of neuropsychological tests and questionnaires at baseline. Eating disorder (ED) symptoms were assessed during treatment at variable time points. Potential predictor variables were investigated using multivariate Cox regression models. Recovery was defined by means of two different indicators based on the Eating Disorder Examination-Questionnaire: (a) showing a 50% reduction in baseline symptom ED severity and/or reaching the clinical significance cut-off; and (b) achieving abstinence of objective binge eating. Severity of depressive symptoms was a significant predictor for outcome on both indicators. Patients with no or mild depressive symptoms recovered faster (i.e., 50% reduction in ED symptoms and abstinence of objective binge eating) than those with severe depressive symptoms, which is in line with previous studies. Executive functioning was not related to treatment outcome in this study. Show less
Kranenburg, F.J.; Cessie, S. le; Caram-Deelder, C.; Bom, J.G. van der; Arbous, M.S. 2019
Background and ObjectivesThe aim of this study was to assess potentially relevant clinical characteristics which influence the decision to transfuse red cells in critically ill patients with low... Show moreBackground and ObjectivesThe aim of this study was to assess potentially relevant clinical characteristics which influence the decision to transfuse red cells in critically ill patients with low haemoglobin concentrations (6.0–10.0 g/dl).Materials and MethodsThis was a retrospective observational cohort study of patients admitted between November 2004 and May 2016 at the intensive care unit (ICU) of the Leiden University Medical Center, Netherlands. Haemoglobin measurements, clinical variables and the subsequent transfusion decision were extracted from the electronic health records. Clinical variables were grouped by organ system. We first examined the association of each of the clinical variables with the decision to transfuse during the following 6 h after a haemoglobin measurement using generalized estimating equations. We then compared the predictive abilities of single variables within an organ system and the predictive ability of an organ system’s combined variables using the change in Akaike information criterion (AIC).ResultsA total of 83 394 haemoglobin measurements of 10 947 ICU admissions were included. Haemoglobin concentration was the most predictive for red cell transfusion. After the haemoglobin concentration, the combined variables for General Health, followed by the organ systems Cardiovascular and Pulmonary, were most predictive for red cell transfusion. Within these organ systems, the APACHE II score, referring department, APACHE admission diagnosis subgroup, troponin concentration, lactate concentration, respiratory rate, PaO2/FiO2 and ventilation mode had the highest predictive ability.ConclusionHaemoglobin concentration is the dominant predictor for red cell transfusion. Other clinical characteristics are also predictive, though to a lesser extent. Show less
Graaf, J.A. de; Mierlo, M.L. van; Post, M.W.M.; Achterberg, W.P.; Kappelle, L.J.; Visser-Meily, J.M.A. 2018
Non-adherence to anti-TNF agents is strongly associated with LOR to anti-TNF agents, adalimumab use, and illness perceptions. The latter may provide an important target for interventions aimed at... Show moreNon-adherence to anti-TNF agents is strongly associated with LOR to anti-TNF agents, adalimumab use, and illness perceptions. The latter may provide an important target for interventions aimed at improving adherence and health outcomes. Show less
