Publications by authors named "Goekoop R"

Background: Patients with obsessive-compulsive disorder (OCD) suffer from repetitive fearful intrusions which they try to neutralize by performing compulsions. OCD is considered to be the most resistant anxiety disorder with a remission rate of only 53% after a year of an evidence-based treatment. Therefore, it remains an obligation to develop and investigate more effective treatment interventions.

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Living systems are hierarchical control systems that display a small world network structure. In such structures, many smaller clusters are nested within fewer larger ones, producing a fractal-like structure with a 'power-law' cluster size distribution (a mereology). Just like their structure, the dynamics of living systems shows fractal-like qualities: the timeseries of inner message passing and overt behavior contain high frequencies or 'states' (treble) that are nested within lower frequencies or 'traits' (bass), producing a power-law frequency spectrum that is known as a 'state-trait continuum' in the behavioral sciences.

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Background: Recurrence risk of systemic lupus erythematosus (SLE)-associated venous thromboembolism (VTE) is unclear.

Aim: To determine the recurrence risk of SLE-associated VTE overall and by presence of provoking factors and SLE flares.

Methods: A multicenter, retrospective cohort study was conducted among patients with first SLE-associated VTE who discontinued anticoagulation.

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Background: Timely identification of deteriorating COVID-19 patients is needed to guide changes in clinical management and admission to intensive care units (ICUs). There is significant concern that widely used Early warning scores (EWSs) underestimate illness severity in COVID-19 patients and therefore, we developed an early warning model specifically for COVID-19 patients.

Methods: We retrospectively collected electronic medical record data to extract predictors and used these to fit a random forest model.

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What do bacteria, cells, organs, people, and social communities have in common? At first sight, perhaps not much. They involve totally different agents and scale levels of observation. On second thought, however, perhaps they share everything.

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Objectives: Paternal preconception health is recognized as an important contributor to pregnancy outcomes. Nonetheless, pregnancy outcomes of partners of men with inflammatory arthritis (IA) have never been studied. Our objective was to describe the pregnancy outcomes of partners of men diagnosed with IA.

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Objectives: The impact of inflammatory arthritis (IA) on male fertility remains unexplored. Our objective was to evaluate the impact of IA on several male fertility outcomes; fertility rate (number of biological children per man), family planning, childlessness and fertility problems.

Methods: We performed a multicentre cross-sectional study (iFAME-Fertility).

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Background: Since the start of the COVID-19 pandemic, a hyperinflammatory syndrome has appeared which develops weeks after a SARS-CoV-2 infection. This multisystem inflammatory syndrome has been described mainly in children (MIS-C), but lately has also been found in adults (MIS-A).

Case Description: We present a case of a woman with MIS-A.

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Objectives: To develop a prediction model to guide annual assessment of systemic sclerosis (SSc) patients tailored in accordance to disease activity.

Methods: A machine learning approach was used to develop a model that can identify patients without disease progression. SSc patients included in the prospective Leiden SSc cohort and fulfilling the ACR/EULAR 2013 criteria were included.

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Objectives: To evaluate the success rate of glucocorticoid discontinuation and to study which factors are associated with successful discontinuation.

Methods: Data from two treat-to-target studies, BeSt (target Disease Activity Score (DAS) ≤2.4) and IMPROVED (target DAS <1.

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In this paper, we show that organisms can be modeled as hierarchical Bayesian control systems with small world and information bottleneck (bow-tie) network structure. Such systems combine hierarchical perception with hierarchical goal setting and hierarchical action control. We argue that hierarchical Bayesian control systems produce deep hierarchies of goal states, from which it follows that organisms must have some form of 'highest goals'.

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Introduction: This study aimed to compare the engagement in moderate- and vigorous-intensity PA in axSpA patients with and without current physical therapy (PT).

Methods: In this cross-sectional study, a survey, including current PT treatment (yes/no) and PA, using the 'Short QUestionnaire to ASsess Health-enhancing PA' (SQUASH), was sent to 458 axSpA patients from three Dutch hospitals. From the SQUASH, the proportions meeting aerobic PA recommendations (≥ 150 min/week moderate-, ≥ 75 min/week vigorous-intensity PA or equivalent combination; yes/no) were calculated.

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Objective: To investigate whether calprotectin (S100A8/A9 or MRP8/14), an inflammatory complex released by monocytes, could indicate residual subclinical inflammation in rheumatoid arthritis (RA) patients who are in stable remission on disease-modifying anti-rheumatic drugs (DMARDs) and serve as a marker for disease flare after DMARD tapering.

Methods: We used data from two trials. Patients from the IMPROVED study had early (< 2 years) RA, and when they achieved disease activity score remission (DAS44 < 1.

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The various models proposed for the mediation of auditory verbal hallucinations (AVH) implicate a considerable number of brain areas and mechanisms. To establish which of those mechanisms are actually involved in the mediation of AVH, we developed a novel method to analyze functional MRI data, which allows for the detection of the full network of mutually interacting brain states, and the identification of those states that are relevant to the mediation of AVH, while applying a minimum number of preconceived assumptions. This method is comparable to the draining of a pond to lay bare the full ecosystem that affects the presence of a particular fish species.

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Recently, there has been renewed interest in the application of assumptions from complex systems theory in the field of psychopathology. One assumption, with high clinical relevance, is that sudden transitions in symptoms may be anticipated by rising instability in the system, which can be detected with early warning signals (EWS). Empirical studies support the idea that this principle also applies to the field of psychopathology.

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Objectives: To compare outcomes of targeted treatment aimed at either low disease activity or remission in patients with early active rheumatoid arthritis (RA).

Methods: Five-year outcomes were compared in 133 patients with early active RA (1987), starting with methotrexate, sulfasalazine and tapered high dose of prednisone (arm 3 of the BehandelStrategieën (Treatment Strategies for Rheumatoid Arthritis) (BeSt) study), targeted at Disease Activity Score (DAS) ≤2.4 (low disease activity), and 175 patients with early RA, starting methotrexate and tapered high dose of prednisone, targeted at DAS <1.

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Background: The autoantibody profile of seropositive rheumatoid arthritis (RA) is very diverse and consists of various isotypes and antibodies to multiple post-translational modifications. It is yet unknown whether this varying breadth of the autoantibody profile is associated with treatment outcomes. Therefore, we investigated whether the composition of the autoantibody profile in RA, as a marker of the underlying immunopathology, influences initial and long-term treatment outcomes.

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Objectives: To determine the 5-year outcomes of early remission induction therapy followed by targeted treatment aimed at drug-free remission (DFR) in patients with early arthritis.

Methods: In 12 hospitals, 610 patients with early (<2 years) rheumatoid arthritis (RA) or undifferentiated arthritis (UA) started on methotrexate (MTX) 25 mg/week and prednisone (60 mg/day tapered to 7.5 mg/day).

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Introduction: Non-adherence to disease-modifying antirheumatic drugs (DMARDs) is suspected to relate to health care costs. In this study we investigated this relation in the first year of treatment.

Methods: In a multi-center cohort study with a one year follow up, non-adherence was continuously measured using electronic monitored medication jars.

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Background: The performance of different diagnostic strategies for pulmonary embolism (PE) in patient subgroups is unclear.

Purpose: To evaluate and compare the efficiency and safety of the Wells rule with fixed or age-adjusted d-dimer testing overall and in inpatients and persons with cancer, chronic obstructive pulmonary disease, previous venous thromboembolism, delayed presentation, and age 75 years or older.

Data Sources: MEDLINE and EMBASE from 1 January 1988 to 13 February 2016.

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Introduction: Among patients with clinically suspected pulmonary embolism (PE), imaging and anticoagulant treatment can be safely withheld in approximately one-third of patients based on the combination of a "PE unlikely" Wells score and a D-dimer below the age-adjusted threshold. The clinical utility of this diagnostic approach in cancer patients is less clear.

Aim: To evaluate the efficiency and failure rate of the original and simplified Wells rules in combination with age-adjusted D-dimer testing in patients with active cancer.

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Background: In a recent publication we reported the existence of around 11 (to 15) 'elementary syndromes' that may combine in various ways, rather like 'building blocks', to explain the wide range of psychiatric symptoms. 'Bridge symptoms' seem to be responsible both for combining large sets of symptoms into elementary syndromes and for combining the various elementary syndromes to form one globally connected network structure.

Aim: To discuss the implication of these findings for clinical practice.

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The full body of research on the nature of psychosis and its determinants indicates that a considerable number of factors are relevant to the development of hallucinations, delusions, and other positive symptoms, ranging from neurodevelopmental parameters and altered connectivity of brain regions to impaired cognitive functioning and social factors. We aimed to integrate these factors in a single mathematical model based on network theory. At the microscopic level this model explains positive symptoms of psychosis in terms of experiential equivalents of robust, high-frequency attractor states of neural networks.

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