Comparing survival rates for clusters of depressive symptoms found by Network analysis' community detection algorithms: Results from a prospective population-based study among 9774 cancer survivors from the PROFILES-registry.

OBJECTIVES: Previous studies have shown that depression is associated with mortality in patients with cancer. Depression is however a heterogeneous construct and it may be more helpful to look at different (clusters) of depressive symptoms than to look at depression as a discrete condition. The aim of the present study is to investigate whether clusters of depressive symptoms can be identified using advanced statistics and to investigate how these symptom clusters are associated with all-cause mortality in a large group of patients with cancer. METHOD: Data from a large population-based cohort study (PROFILES) including various cancer types were used. Eligible patients completed self-report questionnaires (i.e. Fatigue assessment scale, Hospital anxiety and depression scale, EORTC QOL-C30) after diagnosis. Survival status was determined on 31 January 2022. RESULTS: In total, 9744 patients were included. Network analyses combining different community detection algorithms showed that clusters of depressive symptoms could be detected that correspond with motivational anhedonia, consummatory anhedonia and negative affect. Survival analyses using the variables that represented these clusters best showed that motivational and consummatory anhedonia were associated with survival. Even after controlling for clinical and sociodemographic variables items assessing motivational anhedonia were significantly associated with mortality over time. CONCLUSION: Separate clusters of symptoms that correspond with motivational and consummatory anhedonia and negative affect can be distinguished and anhedonia may be associated with mortality more than negative affect. Looking at particular (clusters of) depressive symptoms may be more informative and clinically relevant than using depression as a single construct (i.e. syndrome).

Emergency Heart failure Mortality Risk Grade may help to reduce heart failure admissions.

INTRODUCTION: Hospital admissions for heart failure (HF) are frequent and pose a heavy burden on health care resources. Currently, the decision to hospitalise is based on clinical judgement rather than on prognostic risk stratification. The Emergency Heart failure Mortality Risk Grade (EHMRG) was recently developed to identify high-risk HF patients in the emergency department (ED). OBJECTIVE: To assess the ability of the EHMRG to predict 30-day mortality in Dutch HF patients visiting the ED and to evaluate whether the EHMRG could help to reduce the number of hospital admissions for decompensated HF. METHODS: Patients visiting the ED for decompensated HF were included. The decision to hospitalise or discharge was based on clinical judgement. The EHMRG was calculated retrospectively. Based on their EHMRG, patients were stratified as very low risk, low risk, intermediate risk, high risk and very high risk. RESULTS: In 227 patients (age 73 ± 12 years, 69% male) 30-day mortality was 11%. Mortality differed significantly among the EHMRG risk groups at 7­day (p = 0.012) and 30-day follow-up (p < 0.01). Based on clinical judgement, 76% of patients were hospitalised. If decision-making had been based on EHMRG, the hospitalisation rate could have been reduced to 66% (p < 0.01), particularly by reducing hospitalisations in patients at low risk of death. Mortality in discharged patients, whether the decision was based on EHMRG or clinical judgement, was 0%. CONCLUSION: The EHMRG accurately differentiates between high- and low-risk decompensated HF patients visiting the ED, making it a promising tool to safely reduce the number of HF admissions.

Myocardial infarction patients referred to the primary care physician after 1­year treatment according to a guideline-based protocol have a good prognosis.

INTRODUCTION: Identifying ST-elevation myocardial infarction (STEMI) patients who can be referred back to the general practitioner (GP) can improve patient-tailored care. However, the long-term prognosis of patients who are returned to the care of their GP is unknown. Therefore, the aim of this study was to assess the long-term prognosis of patients referred back to the GP after treatment in accordance with a 1-year institutional guideline-based protocol. METHODS: All consecutive patients treated between February 2004 up to May 2013 who completed the 1­year institutional MISSION! Myocardial Infarction (MI) follow-up and who were referred to the GP were evaluated. After 1 year of protocolised monitoring, asymptomatic patients with a left ventricular ejection fraction >45% on echocardiography were referred to the GP. Long-term prognosis was assessed with Kaplan-Meier curves and Cox proportional hazards analysis was used to identify independent predictors for 5­year all-cause mortality and major adverse cardiovascular events (MACE). RESULTS: In total, 922 STEMI patients were included in this study. Mean age was 61.6 ± 11.7 years and 74.4% were male. Median follow-up duration after the 1­year MISSION! MI follow-up was 4.55 years (interquartile range [IQR] 2.28-5.00). The event-free survival was 93.2%. After multivariable analysis, age, not using an angiotensin-converting enzyme (ACE) inhibitor/angiotensin-II (AT2) antagonist and impaired left ventricular function remained statistically significant predictors for 5­year all-cause mortality. Kaplan-Meier curves revealed that 80.3% remained event-free for MACE after 5 years. Multivariable predictors for MACE were current smoking and a mitral regurgitation grade ≥2. CONCLUSION: STEMI patients who are referred back to their GP have an excellent prognosis after being treated according to the 1­year institutional MISSION! MI protocol.

Kinematics of a highly congruent mobile-bearing total knee prosthesis.

PURPOSE: Limited or absent axial rotation of the mobile insert of total knee prostheses could lead to high contact stresses and stresses at the bone-implant interface, which in turn might lead to implant loosening. The aim of this study was to assess knee kinematics and muscle activation and their possible change over time in patients with a highly congruent, mobile-bearing total knee prosthesis. METHODS: A prospective series of 11 rheumatoid arthritis patients was included to participate in this fluoroscopic and EMG study; only 7 patients completed the study. Kinematic evaluations took place 7 months, 1 and 2 years post-operatively. Repeated measurements ANOVA and linear mixed-effects model for longitudinal data were used to compare the differences between the follow-ups. RESULTS: There are no significant changes in axial rotations between follow-up moments for the femoral component as well as the mobile insert. The insert remained mobile and followed the femoral component from 0° until approximately 60° of knee flexion. Diverging and reversed axial rotations and translations were seen during the dynamic motions. CONCLUSIONS: Knee kinematics and muscle activation do not appear to change in the first 2 post-operative years. Reversed and divergent axial rotations with increasing knee flexion indicate that as soon as the congruency decreases, the femoral component is no longer forced in a certain position by the insert and moves to a self-imposed position. At lower knee flexion angles, the femoral component might be obstructed by the highly congruent insert and therefore might not be able to move freely. LEVEL OF EVIDENCE: Therapeutic study, Level IV.

Assistive devices: usage in patients with rheumatoid arthritis.

We describe the usage of various assistive devices and identify factors associated with usage in patients with rheumatoid arthritis (RA). A cross-sectional, multicentre study was performed in three outpatient rheumatology clinics in the Netherlands. Two hundred forty patients with RA participated in the study. The main measures were questionnaires and a semi-structured interview regarding the possession and usage of 21 common assistive devices in the ISO9999 categories orthopaedic footwear, personal care, mobility, household and adaptations for housing. Potential factors associated with usage included sociodemographic variables, health status, quality of life, coping strategies, self-efficacy, outcome expectations and satisfaction. Out of 240 patients, 213 (89%) had one or more assistive devices in possession (median number of devices 3.0, interquartile range 3.0). The proportions of patients never using a device in possession varied between 8% for orthopaedic insoles and 23% for grab bars. The main factors related to usage varied among categories, but common determinants were a specific impairment or disability, satisfaction with the device or related services, self-efficacy and the number of devices in possession. In conclusion, in patients with RA, possession rates are high, with 23% or less of the devices in possession being abandoned. Overall, satisfaction rates were high. Factors associated with usage varied among categories and comprised, apart from the number of devices in possession and variables related to health status, also aspects of satisfaction with the device or related services or self-efficacy. The latter findings underline the need for a systematic evaluation of the outcomes of assistive devices by prescribing health professionals or suppliers in every individual case.

Effects of heart rate, filling and slice thickness on the accuracy of left ventricular volume measurements in a dynamic cardiac phantom using ECG-gated MDCT.

The objective of the study was to assess the effect of heart rate, filling condition and slice thickness on the accuracy of volumetric analysis based on multidetector-row computed tomography (MDCT) of a cardiac phantom. Retrospective electrocardiogram-gated MDCT of a pulsating phantom was performed under different conditions. End-diastolic volume (EDV) and end-systolic volume (ESV) for different heart rates (60-75 beats per minute), filling volumes and reconstructed slice thicknesses (2 mm and 5 mm) were obtained by three observers. Results were analysed by a linear mixed-effects model. Significant effects on the accuracy were found for heart rate (F-value, 7.3-39.2; p<0.004) and filling condition (F-value, 7.4-55.6; p<0.004), but not for slice thickness. Small relative differences in the assessment of EDV were found (range, -3% to 3%), but there was a trend for overestimation of the ESV (range, -1% to 18%). Underestimation of stroke volume and ejection fraction (range, -1% to -11%) became smaller under conditions of improved temporal resolution and larger EDV. Good interobserver agreement was found (SD <1.8 ml and <0.5%). In conclusion, MDCT allows sufficient and reliable measurements of ventricular volumes and calculation of left ventricle function for clinical applications. Heart rate and filling conditions significantly affect the accuracy of volumetrics, as demonstrated in this cardiac phantom. Thicker slices provide similar accuracy to thin slices.

Dose reduction in digital chest radiography and perceived image quality.

The aim of the study was to investigate whether radiologists can rank the image quality of digital radiographs with different doses; a preliminary study investigated whether reduced dose images provide sufficient diagnostic quality. Raw data of 40 chest radiographs (posteroanterior (PA) and lateral) obtained with a full-field slot-scan charge-coupled device system in 20 patients with chest pathology were used. Noise was added to simulate reduced dose levels to 50%, 25% and 12%. Four observers ranked the quality of the corresponding images and judged the diagnostic quality. Linear regression analysis was performed. Differences were found in image quality at the different dose levels for both PA (p

Surgery groups differed in adverse outcome probabilities and can be used to adjust hospital comparisons.

BACKGROUND AND OBJECTIVE: In the Netherlands, all procedures in general surgery are categorized into 12 surgery groups by the Association of Surgeons of the Netherlands. The purpose of this study was to assess whether surgery groups differ in adverse outcome probabilities, to decide whether hospital comparisons on adverse outcomes should be adjusted for differences in surgery groups. METHODS: All surgical patients in one hospital discharged in 1997-1999 were included. Only the first operation during admission was included, with the assumption that successive operations were treatment of adverse outcomes. To avoid bias, only operations with procedures from the same surgery group were included. A total of 6,025 admissions were included and analyzed by a two-step multilevel analysis. RESULTS: Four surgery groups had fewer admissions with adverse outcomes than expected, and two groups had more. After adjustment for patient and operation characteristics, the remaining variance between surgery groups is still large. Similar results were found when differences in mortality were analyzed. CONCLUSION: Surgery group can therefore be used to adjust hospital comparisons for differences in surgical procedure mix.

Predictors of lung transplant survival in eurotransplant.

This study was undertaken to assess the influence of patient/donor and center factors on lung transplantation outcome. Outcomes of all consecutive first cadaveric lung transplants performed at 21 Eurotransplant centers in 1997-99 were analyzed. The risk-adjusted center effect on mortality was estimated. A Cox model was built including donor and recipient age and gender, primary disease, HLA mismatches, patient's residence, cold ischemic time, donor's cause of death, serum creatinine, type of lung transplant, respiratory support status, clinical condition and percentage predicted FEV1. The center effect was calculated (expressed as the standardized difference between the observed and expected survival rates), and empirical and full Bayes methods were applied to evaluate between-center differences. A total of 590 adults underwent lung transplantation. The primary disease (p=0.01), HLA-mismatches (p = 0.02), clinical condition(p < 0.0001) and the patient's respiratory support status (p = 0.05) were significantly associated with survival. After adjusting for case-mix, no between-center differences could be found. An in-depth empirical Bayes analysis showed the between-center variation to be zero. Similar results were obtained from the full Bayes analysis. Based on these data, there is no scientific basis to support a hypothesis of possible association between center volume and lung survival rates.