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Background Falls involve dynamic risk factors that change over time, but most studies on fall-risk factors are cross-sectional and do not capture this temporal aspect. The longitudinal clinical notes within electronic health records (EHR) provide an opportunity to analyse fall risk factor trajectories through Natural Language Processing techniques, specifically dynamic topic modelling (DTM). This study aims to uncover fall-related topics for new fallers and track their evolving trends leading up to falls. Methods This case–cohort study utilised primary care EHR data covering information on older adults between 2016 and 2019. Cases were individuals who fell in 2019 but had no falls in the preceding three years (2016–18). The control group was randomly sampled individuals, with similar size to the cases group, who did not endure falls during the whole study follow-up period. We applied DTM on the clinical notes collected between 2016 and 2018. We compared the trend lines of the case and control groups using the slopes, which indicate direction and steepness of the change over time. Results A total of 2,384 fallers (cases) and an equal number of controls were included. We identified 25 topics that showed significant differences in trends between the case and control groups. Topics such as medications, renal care, family caregivers, hospital admission/discharge and referral/streamlining diagnostic pathways exhibited a consistent increase in steepness over time within the cases group before the occurrence of falls. Conclusions Early recognition of health conditions demanding care is crucial for applying proactive and comprehensive multifactorial assessments that address underlying causes, ultimately reducing falls and fall-related injuries. [ABSTRACT FROM AUTHOR]

Purpose: Lumbar spinal fusion surgery (LSFS) is common for lumbar degenerative disorders. The objective was to develop clinical prediction rules to identify which patients are likely to have a favourable outcome to inform decisions regarding surgery and rehabilitation. Methods: A prospective observational study recruited 600 (derivation) and 600 (internal validation) consecutive adult patients undergoing LSFS for degenerative lumbar disorder through the British Spine Registry. Definition of good outcome (6 weeks, 12 months) was reduction in pain intensity (Numerical Rating Scale, 0–10) and disability (Oswestry Disability Index, ODI 0–50) > 1.7 and 14.3, respectively. Linear and logistic regression models were fitted and regression coefficients, Odds ratios and 95% CIs reported. Results: Lower BMI, higher ODI and higher leg pain pre-operatively were predictive of good disability outcome, higher back pain was predictive of good back pain outcome, and no previous surgery and higher leg pain were predictive of good leg pain outcome; all at 6 weeks. Working and higher leg pain were predictive of good ODI and leg pain outcomes, higher back pain was predictive of good back pain outcome, and higher leg pain was predictive of good leg pain outcome at 12 months. Model performance demonstrated reasonable to good calibration and adequate/very good discrimination. Conclusions: BMI, ODI, leg and back pain and previous surgery are important considerations pre-operatively to inform decisions for surgery. Pre-operative leg and back pain and work status are important considerations to inform decisions for management following surgery. Findings may inform clinical decision making regarding LSFS and associated rehabilitation. [ABSTRACT FROM AUTHOR]

Can existing post-treatment prognostic models for predicting neck pain recovery (primarily in terms of disability and secondarily in terms of pain intensity and perceived improvement) be externally validated and updated at the end of the treatment period and at 6 and 12 weeks of follow-up in a new Dutch cohort of people with neck pain treated with guideline-based usual care physiotherapy? External validation and model updating in a new prospective cohort of three previously developed prognostic models. People with (sub)acute neck pain and registered for primary care physiotherapy treatment. Recovery of disability, pain intensity, and perceived recovery at 6 and 12 weeks and at the end of the treatment period. Discriminative performance (c-statistic) of the disability model at 6 weeks was 0.73 (95% CI 0.69 to 0.77) and reasonably well calibrated after intercept recalibration. The disability model at 12 weeks and at the end of the treatment period showed discriminative c-statistic performance values of 0.69 (95% CI 0.64 to 0.73) and 0.68 (95% CI 0.63 to 0.72), respectively, and was well calibrated. Pain models and perceived recovery models did not reach acceptable performance. Cervical mobility added value to the disability models and pain catastrophising to the disability and pain models at 6 weeks. Broad external validation of the disability model was successful in people with (sub)acute neck pain and clinicians may use this model in clinical practice with reasonable accuracy. Further research is required to assess the disability model's clinical impact and generalisability, and to identify additional valuable model predictors. https://osf.io/a6r3k/ [ABSTRACT FROM AUTHOR]

Background: Intrinsic capacity (IC) defined by the WHO refers to the composite of five domains of capacities. So far, developing and validating a standardized overall score of the concept have been challenging partly because its conceptual framework has been unclear. We consider that a person's IC is determined by its domain-specific indicators suggesting a formative measurement model. Aims: To develop an IC score applying a formative approach and assess its validity. Methods: The study sample (n = 1908) consisted of 57–88-year-old participants from the Longitudinal Aging Study Amsterdam (LASA). We used logistic regression models to select the indicators to the IC score with 6-year functional decline as an outcome. An IC score (range 0–100) was constructed for each participant. We examined the known-groups' validity of the IC score by comparing groups based on age and number of chronic diseases. The criterion validity of the IC score was assessed with 6-year functional decline and 10-year mortality as outcomes. Results: The constructed IC score included seven indicators covering all five domains of the construct. The mean IC score was 66.7 (SD 10.3). The scores were higher among younger participants and those who had lower number of chronic diseases. After adjustment for sociodemographic indicators, chronic diseases, and BMI, a one-point higher IC score was associated with a 7% decreased risk for 6-year functional decline and a 2% decreased risk for 10-year mortality. Conclusions: The developed IC score demonstrated discriminative ability according to age and health status and is associated with subsequent functional decline and mortality. [ABSTRACT FROM AUTHOR]

Neck pain is one of the leading causes of disability in most countries and it is likely to increase further. Numerous prognostic models for people with neck pain have been developed, few have been validated. In a recent systematic review, external validation of three promising models was advised before they can be used in clinical practice. The purpose of this study was to externally validate three promising models that predict neck pain recovery in primary care. This validation cohort consisted of 1311 patients with neck pain of any duration who were prospectively recruited and treated by 345 manual therapists in the Netherlands. Outcome measures were disability (Neck Disability Index) and recovery (Global Perceived Effect Scale) post-treatment and at 1-year follow-up. The assessed models were an Australian Whiplash-Associated Disorders (WAD) model (Amodel), a multicenter WAD model (Mmodel), and a Dutch non-specific neck pain model (Dmodel). Models' discrimination and calibration were evaluated. The Dmodel and Amodel discriminative performance (AUC < 0.70) and calibration measures (slope largely different from 1) were poor. The Mmodel could not be evaluated since several variables nor their proxies were available. External validation of promising prognostic models for neck pain recovery was not successful and their clinical use cannot be recommended. We advise clinicians to underpin their current clinical reasoning process with evidence-based individual prognostic factors for recovery. Further research on finding new prognostic factors and developing and validating models with up-to-date methodology is needed for recovery in patients with neck pain in primary care. [ABSTRACT FROM AUTHOR]

Background: In The Netherlands, low back pain patients can consult physicians specialized in musculoskeletal (MSK) medicine. Previous studies have reported on the characteristics of patients consulting MSK physicians, and the treatment options used. There are no studies yet reporting on the course of Low Back Pain (LBP) after treatment by musculoskeletal (MSK) physicians in The Netherlands. Methods: In an observational cohort study MSK physicians recorded data about all low back pain patients presenting for a first consultation. At baseline they recorded age, gender, type and duration of the main complaint, and concomitant complaints. At the end of treatment they recorded the type of treatment and the number of treatment sessions. Patients were recruited to answer questionnaires at baseline, and at 6-weekly intervals during a follow-up period of six months. Patient questionnaires included information about previous medical consumption, together with PROMs measuring the level of pain and functional status. Latent Class Growth Analysis (LCGA) was used to classify patients into different groups according to their pain trajectories. Baseline variables were evaluated as predictors of a favourable trajectory using logistic regression analyses, and treatment variables were evaluated as possible confounders. Results: A total of 1377 patients were recruited, of whom 1117 patients (81%) answered at least one follow-up measurement. LCGA identified three groups of patients with distinct pain trajectories. A first group (N = 226) with high pain levels showed no improvement, a second group (N = 578) with high pain levels showed strong improvement, and a third group (N = 313) with mild pain levels showed moderate improvement. The two groups of patients presenting with high baseline pain scores were compared, and a multivariable model was constructed with possible predictors of a favourable course. Male gender, previous specialist visit, previous pain clinic visit, having work, a shorter duration of the current episode, and a longer time since the complaints first started were predictors of a favourable course. The multivariable model showed a moderate area under the curve (0.68) and a low explained variance (0.09). Conclusions: In low back pain patients treated by musculoskeletal physicians in The Netherlands three different pain trajectories were identified. Baseline variables were of limited value in predicting a favourable course. [ABSTRACT FROM AUTHOR]

Background: Psychosocial work characteristics are associated with all-cause long-term sickness absence (LTSA). Aims: This study investigated whether psychosocial work characteristics such as higher workload, faster pace of work, less variety in work, lack of performance feedback, and lack of supervisor support are prospectively associated with higher LTSA due to mental disorders. Methods: Cohort study including 4877 workers employed in the distribution and transport sector in The Netherlands. Psychosocial work characteristics were included in a logistic regression model estimating the odds ratios (OR) and 95% confidence intervals (CI) of mental LTSA during 2-year follow-up. The ability of the regression model to discriminate between workers with and without mental LTSA was investigated with the area under the receiver operating characteristic curve (AUC). Results: Tow thousand seven hundred and eighty-two (57%) workers were included in the analysis; 73 (3%) had mental LTSA. Feedback about one's performance (OR = 0.82; 95% CI 0.70–0.96) was associated with mental LTSA. A prediction model including psychosocial work characteristics poorly discriminated (AUC = 0.65; 95% CI 0.56–0.74) between workers with and without mental LTSA. Conclusions: Feedback about one's performance is associated with lower rates of mental LTSA, but it is not useful to measure psychosocial work characteristics to identify workers at risk of mental LTSA. [ABSTRACT FROM AUTHOR]

Summary Background: Primary prevention of overweight is to be preferred above secondary prevention, which has shown moderate effectiveness. Objective: To develop and internally validate a dynamic prediction model to identify young children in the general population, applicable at every age between birth and age 6, at high risk of future overweight (age 8). Methods: Data were used from the Prevention and Incidence of Asthma and Mite Allergy birth cohort, born in 1996 to 1997, in the Netherlands. Participants for whom data on the outcome overweight at age 8 and at least three body mass index SD scores (BMI SDS) at the age of ≥3 months and ≤6 years were available, were included (N = 2265). The outcome of the prediction model is overweight (yes/no) at age 8 (range 7.4‐10.5 years), defined according to the sex‐ and age‐specific BMI cut‐offs of the International Obesity Task Force. Results: After backward selection in a Generalized Estimating Equations analysis, the prediction model included the baseline predictors maternal BMI, paternal BMI, paternal education, birthweight, sex, ethnicity and indoor smoke exposure; and the longitudinal predictors BMI SDS, and the linear and quadratic terms of the growth curve describing a child's BMI SDS development over time, as well as the longitudinal predictors' interactions with age. The area under the curve of the model after internal validation was 0.845 and Nagelkerke R2 was 0.351. Conclusions: A dynamic prediction model for overweight was developed with a good predictive ability using easily obtainable predictor information. External validation is needed to confirm that the model has potential for use in practice. [ABSTRACT FROM AUTHOR]

Objective This study determined if partial sick leave was associated with a shorter duration of sick leave due to musculoskeletal disorders (MSD) based on routinely collected health data in Dutch sick-listed employees. Furthermore, the effect of timing of partial sick leave on sick leave duration was determined. Methods This cohort study consisted of 771 employees with partial sick leave and 198 employees with full-time sick leave who participated in an occupational health check, and had sick leave due to MSD for minimally 4 weeks and were diagnosed by an occupational physician. Multivariable linear regression models were performed to determine the effects of partial sick leave (unadjusted and adjusted for confounders and MSD diagnosis) and Kaplan–Meier curves were presented for visualization of return to work for different timings of starting partial sick leave. Furthermore, linear regression analysis were done in subsets of employees with different minimal durations of sick leave to estimate the effects of timing of partial sick leave. Results Initial results suggest that partial sick leave was associated with longer sick leave duration, also when adjusted for confounders and sick leave diagnosis. Secondary results which accounted for the timing of partial sick leave suggest that partial sick leave had no effect on the duration of sick leave. Conclusion Partial sick leave does not influence MSD sick leave duration in this study when accounting for the timing of partial sick leave. [ABSTRACT FROM AUTHOR]

Background: Hip fractures in the elderly are associated with advanced comorbidities and high mortality rates. Mortality prediction models can support clinicians in tailoring treatment for medical decision making in frail elderly patients. The aim of this study was to develop and internally validate the Brabant Hip Fracture Score, for 30-day (BHFS-30) and 1-year mortality (BHFS-365) after hip fracture. Material and methods: A cohort study was conducted in 2 hospitals on operatively treated patients of 65 years and older with a hip fracture. Manual backward multivariable logistic regression was used to select independent predictors of 30-day and 1-year mortality. Internal validation was performed using bootstrapping techniques. Model performance was assessed with: (1) discrimination via the area under the receiver operating characteristic curve (AUC); (2) explained variance via Nagelkerke's R2; (3) calibration via Hosmer-Lemeshow (H&L) test and calibration plots. Results: Independent predictors of 30-day mortality were: age, gender, living in an institution, Hb, respiratory disease, diabetes and malignancy. In addition, cognitive frailty and renal insufficiency, were selected in the BHFS-365. Both models showed acceptable discrimination after internal validation (AUC = 0.71 and 0.75). The Hosmer-Lemeshow test indicated no lack of fit (p > 0.05). Discussion: We demonstrated that the internally validated and easy to use BHFS in surgically treated elderly patients after a hip fracture showed acceptable discrimination and adequate calibration. In clinical practice a cutoff of BHFS-30 ⩾ 24 could identify frail elderly patients at high risk for early mortality and could support clinicians, patients and families in tailoring treatment for medical decision making. [ABSTRACT FROM AUTHOR]

Purpose The aim of this study was to develop prediction models to determine the risk of sick leave due to musculoskeletal disorders (MSD) in non-sick listed employees and to compare models for short-term (i.e., 3 months) and long-term (i.e., 12 months) predictions. Methods Cohort study including 49,158 Dutch employees who participated in occupational health checks between 2009 and 2015 and sick leave data recorded during 12 months follow-up. Prediction models for MSD sick leave within 3 and 12 months after the health check were developed with logistic regression analysis using routinely assessed health check variables. The performance of the prediction models was evaluated with explained variance (Nagelkerke's R-square), calibration (Hosmer–Lemeshow test) and discrimination (area under the receiver operating characteristic curve, AUC) measures. Results A total of 376 (0.8%) and 1193 (2.4%) employees had MSD sick leave within 3 and 12 months after the health check. The prediction models included similar predictor variables (educational level, musculoskeletal complaints, distress, supervisor social support, work-home interference, intrinsic motivation, development opportunities, and work pace). The explained variances were 7.6% and 8.8% for the model with 3 and 12 months follow-up, respectively. Both prediction models showed adequate calibration and discriminated between employees with and without MSD sick leave 3 months (AUC = 0.761; Interquartile range [IQR] 0.759–0.763) and 12 months (AUC = 0.740; IQR 0.738–0.741) after the health check. Conclusion The prediction models could be used to determine the risk of MSD sick leave in non-sick listed employees and invite them to preventive consultations with occupational health providers. [ABSTRACT FROM AUTHOR]

Background: Chronic cardiometabolic diseases, including cardiovascular disease (CVD), type 2 diabetes (T2D) and chronic kidney disease (CKD), share many modifiable risk factors and can be prevented using combined prevention programs. Valid risk prediction tools are needed to accurately identify individuals at risk.Objective: We aimed to validate a previously developed non-invasive risk prediction tool for predicting the combined 7-year-risk for chronic cardiometabolic diseases.Design: The previously developed tool is stratified for sex and contains the predictors age, BMI, waist circumference, use of antihypertensives, smoking, family history of myocardial infarction/stroke, and family history of diabetes. This tool was externally validated, evaluating model performance using area under the receiver operating characteristic curve (AUC)-assessing discrimination-and Hosmer-Lemeshow goodness-of-fit (HL) statistics-assessing calibration. The intercept was recalibrated to improve calibration performance.Participants: The risk prediction tool was validated in 3544 participants from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab).Key Results: Discrimination was acceptable, with an AUC of 0.78 (95% CI 0.75-0.81) in men and 0.78 (95% CI 0.74-0.81) in women. Calibration was poor (HL statistic: p < 0.001), but improved considerably after intercept recalibration. Examination of individual outcomes showed that in men, AUC was highest for CKD (0.85 [95% CI 0.78-0.91]) and lowest for T2D (0.69 [95% CI 0.65-0.74]). In women, AUC was highest for CVD (0.88 [95% CI 0.83-0.94)]) and lowest for T2D (0.71 [95% CI 0.66-0.75]).Conclusions: Validation of our previously developed tool showed robust discriminative performance across populations. Model recalibration is recommended to account for different disease rates. Our risk prediction tool can be useful in large-scale prevention programs for identifying those in need of further risk profiling because of their increased risk for chronic cardiometabolic diseases. [ABSTRACT FROM AUTHOR]

Background: Mental disorders are increasing and account for one-third of all disability benefits in OECD countries. This study investigated the work status after mental sickness absence (SA). Methods: Five-year longitudinal cohort study of 6678 male production workers. Work status, work schedule and work hours/week were retrieved from employer records in five years following RTW from mental SA. Longitudinal analysis was done with linear and logistic generalized estimating equations estimating relative risks (RRs) and odds ratios (ORs), respectively, controlled for age, marital status and occupational grade. Results: In total, 4613 (69%) workers had complete data and were included in the analyses; 552 of them had experienced mental SA. In the years following mental SA, 102 (18%) workers left employment compared to 384 (9%) workers without mental SA. In the first year after mental SA, workers left employment at their own request and in later years they were dismissed because of poor work functioning. After mental SA, workers more often (RR = 2.93; 95% CI 1.83-4.03) reduced their work hours/ week than those without mental SA, whereas the odds of changing work schedule did not differ between them (OR = 1.02; 95% CI 0.84-1.24). Conclusions: After mental SA, workers left employment or reduced work hours/ week more often than those without mental SA. The results suggest that changes in employment status are more common after SA caused by mental disorders as compared with somatic disorders. [ABSTRACT FROM AUTHOR]

Background: Mental health problems are a leading cause of long-term sickness absence (LTSA). Workers at risk of mental LTSA should preferably be identified before they report sick. The objective of this study was to examine mental health symptoms as predictors of future mental LTSA in non-sicklisted workers.Methods: Prospective cohort study of 4877 non-sicklisted postal workers. Mental health symptoms were measured at baseline in November 2010 with the Four-Dimensional Symptom Questionnaire (distress and depressed mood) and Maslach's Burnout Inventory (fatigue). Mental health symptom scores were analyzed against incident mental LTSA retrieved from an occupational health register in 2011 and 2012. The area under the receiver operating characteristic curve (AUC) represented the ability of mental health symptom scores to discriminate between workers with and without mental LTSA during 2-year follow-up.Results: Complete cases analysis included 2782 (57 %) postal workers of whom 73 had mental LTSA during 2-year follow-up. Distress fairly (AUC = 0.75; 95 % CI 0.67-0.82) and both depressed mood (AUC = 0.64; 95 % CI 0.57-0.72) and fatigue (AUC = 0.61; 95 % CI 0.53-0.69) poorly discriminated between workers with and without mental LTSA during 2-year follow-up. The discriminative ability of distress did not improve by adding depressed mood and fatigue.Conclusions: Measurement of distress sufficed to identify non-sicklisted postal workers at risk of future mental LTSA. The Four-Dimensional Symptom Questionnaire distress scale is a promising tool to screen working populations for of mental LTSA, which enables secondary preventive strategies. [ABSTRACT FROM AUTHOR]

Objective: To investigate the predictive value of the 12-item short form (SF-12) for long-term sickness absence (LTSA) because of mental, musculoskeletal, and other somatic disorders. Methods: In this cohort study with 2-year follow-up of 1381 nurses, baseline SF-12 scores were analyzed against registered mental, musculoskeletal, and other somatic LTSA during follow-up by logistic regression models. Results: The SF-12 dimensions, general health, vitality, emotional role limitations, mental health, and social functioning, predicted mental LTSA. Physical functioning, bodily pain, and vitality predicted musculoskeletal LTSA, and physical role limitations, bodily pain, general health, and social functioning predicted other somatic LTSA. Positive predictive values were low, and negative predictive values were high. Conclusions: Different SF-12 dimensions predicted mental, musculoskeletal, and other somatic LTSA but did not identify nurses at high risk of mental, musculoskeletal, and other somatic LTSA. [ABSTRACT FROM AUTHOR]

Background: Self-rated health (SRH) has been found to predict sickness absence (SA). The present study investigated the effect of replacing single-item SRH by a multi-item health measure on SA predictions. Methods: Longitudinal study of 2059 Norwegian nurses with assessments in three waves each separated by 1 year. Health was measured by single-item SRH and multi-item SF-12 in waves 1 and 2. SA was self-reported in all three waves and high SA was defined as more than or equal to 31 SA days within the last 12 months. Predictions of high SA by a model including age, prior SA and single-item SRH were compared with predictions by a model including age, prior SA and multi-item SF-12. Both models were bootstrapped to correct for over-optimism and prospectively validated for their predictions in a new time frame. Results: 1253 nurses (61%) had complete data for analysis. The SF-12 model predicted the risk of high SA more accurately (X2= 4.294; df = 8) and was more stable over time than the SRH model (model X2= 14.495; df = 8). Both prediction models correctly discriminated between high-risk and low-risk individuals in 73% of the cases at wave 2 and in 71% of the cases at wave 3. Conclusions: The accuracy of predictions increased when single-item SRH was replaced by multi-item SF-12, but the discriminative ability did not improve. Single-item SRH suffices to identify employees at increased risk of high SA. [ABSTRACT FROM AUTHOR]

Background: Vitamin D Status is currently diagnosed by measuring serum 25-hydroxyvitamin D [25(OH)D]. Objective: This study aimed to develop a risk profile that can be used to easily identify older individuals at high risk of vitamin D deficiency. Design: This study was performed within the Longitudinal Aging Study Amsterdam, an ongoing cohort study in a representative sample of the Dutch older population (n = 1509 for the development sample and n = 1100 for the Validation sample). Prediction models for serum 25(OH)D concentrations <50 and <30 nmol/L were developed by using backward logistic regression. Risk scores were calculated by dividing the individual regression coefficients by the regression coefficient with the lowest β to create simple scores. Results: Serum 25(OH)D concentrations <50 and <30 nmol/L were present in 46.2% and 17.5% of participants, respectively. The model for the prediction of concentrations <50 nmol/L consisted of 13 easily assessable predictors, whereas the model for concentrations <30 nmol/L contained 10 predictors. The resulting areas under the curve (AUCs) were 0.78 and 0.80, respectively. The AUC in the ex-ternal Validation data set was 0.71 for the <50-nmol/L model. At a cutoff of 58 in total risk score (range: 8-97), the model predicted concentrations <50 nmol/L with a sensitivity of 61% and a specificity of 82%, whereas these values were 61% and 84%, respectively, at a cutoff of 110 in the total risk score (range: 6-204) in the model for concentrations <30 nmol/L. Conclusions: Two total risk scores, including 13 or 10 predictors that can easily be assessed, were developed and are able to predict serum 25(OH)D concentrations <50 and <30 nmol/L accurately. These risk scores may be useful in clinical practice to identify persons at risk of vitamin D deficiency. [ABSTRACT FROM AUTHOR]

Background. Few data are available on the course of and predictors for disability in patients with chronic nonspecific low back pain (CNSLBP). Objective. The purpose of this study was to describe the course of disability and identify clinically important prognostic factors of low-back-pain-specific disability in patients with CNSLBP receiving multidisciplinary therapy. Design. A prospective cohort study was conducted. Methods. A total of l,760 patients with CNSLBP who received multidisciplinary therapy were evaluated for their course of disability and prognostic factors at baseline and at 2-, 5-, and 12-month follow-ups. Recovery was defined as 30% reduction in low back pain-specific disability at follow-up compared with baseline and as absolute recovery if the score on the Quebec Back Pain Disability Scale (QBPDS) was ≤20 points at follow-up. Potential prognostic factors were identified using multivariable logistic regression analysis. Results. Mean patient-reported disability scores on the QBPDS ranged from 51.7 (SD = 15.6) at baseline to 31.7 (SD=15.2), 31.1 (SD=18.2), and 29.1 (SD = 20.0) at 2, 5, and 12 months, respectively. The prognostic factors identified for recovery at 5 and 12 months were younger age and high scores on disability and on the 36-Item Short-Form Health Survey (SF-36) (Physical and Mental Component Summaries) at baseline. In addition, at 5-month follow-up, a shorter duration of complaints was a positive predictor, and having no comorbidity and less pain at baseline were additional predictors at 12-month follow-up. Limitations. Missing values at 5- and 12-month follow-ups were 11.1% and 45.2%, respectively. Conclusion. After multidisciplinary treatment, the course of disability in patients with CNSLBP continued to decline over a 12-month period. At 5- and 12-month follow-ups, prognostic factors were identified for a clinically relevant decrease in disability scores on the QBPDS. [ABSTRACT FROM AUTHOR]

STUDY DESIGN: Prospective longitudinal study. OBJECTIVE: To explore the working mechanism of manual therapy, we investigated whether 3 cervical spine variables were mediators of the effect of manual therapy on headache frequency. BACKGROUND: Manual therapy has been shown to reduce headache frequency in participants with chronic tension-type headache (CTTH). To what extent specific elements of treatment contribute to the effectiveness of manual therapy in CTTH is unknown. METHODS: One hundred eighty-two participants with CTTH participated in a prospective longitudinal study: 142 underwent manual therapy and 40 participants received usual care by their general practitioner. Regression analysis was performed according to the steps described by Baron and Kenny, and the proportion of mediated effect was estimated for 3 potential mediators: (1) cervical range of motion, (2) neck flexor endurance, and (3) forward head posture. Outcome was defined as a 50% or greater reduction in headache days. RESULTS: Neck flexor endurance mediated 24.5% of the effect of manual therapy. Cervical range of motion and forward head posture showed no mediated effect. CONCLUSION: Increased neck flexor endurance appears to be a working mechanism of manual therapy. This finding supports isometric training of neck flexors in participants with CTTH. Trial registered with Netherlands Trial Register (TR 1074). [ABSTRACT FROM AUTHOR]

Background: Within longitudinal epidemiological research, 'count' outcome variables with an excess of zeros frequently occur. Although these outcomes are frequently analysed with a linear mixed model, or a Poisson mixed model, a two-part mixed model would be better in analysing outcome variables with an excess of zeros. Therefore, objective of this paper was to introduce the relatively 'new' method of two-part joint regression modelling in longitudinal data analysis for outcome variables with an excess of zeros, and to compare the performance of this method to current approaches. Methods: Within an observational longitudinal dataset, we compared three techniques; two 'standard' approaches (a linear mixed model, and a Poisson mixed model), and a two-part joint mixed model (a binomial/Poisson mixed distribution model), including random intercepts and random slopes. Model fit indicators, and differences between predicted and observed values were used for comparisons. The analyses were performed with STATA using the GLLAMM procedure. Results: Regarding the random intercept models, the two-part joint mixed model (binomial/Poisson) performed best. Adding random slopes for time to the models changed the sign of the regression coefficient for both the Poisson mixed model and the two-part joint mixed model (binomial/Poisson) and resulted into a much better fit. Conclusion: This paper showed that a two-part joint mixed model is a more appropriate method to analyse longitudinal data with an excess of zeros compared to a linear mixed model and a Poisson mixed model. However, in a model with random slopes for time a Poisson mixed model also performed remarkably well. [ABSTRACT FROM AUTHOR]

Background: Sickness absence (SA) is a public health risk marker for morbidity and mortality. The aim of this study was to develop and validate prediction models to identify employees at risk of high SA. Methods: Two prediction models were developed using self-rated health (SRH) and prior SA as predictors. SRH was measured by the categories excellent, good, fair and poor in a convenience sample of 535 hospital employees. Prior SA was retrieved from the employer's register. The predictive performance of the models was assessed by logistic regression analysis with high (&geq;90th percentile) vs. non-high (<90th percentile) SA days and SA episodes as outcome variables and by using bootstrapping techniques to validate the models. Results: The overall performance as reflected in the Nagelkerke's pseudo R2 was 11.7% for the model identifying employees with high SA days and 31.8% for the model identifying employees with high SA episodes. The discriminative ability, represented by the area (AUC) under the receiver operating characteristic (ROC), was 0.729 (95% CI 0.667–0.809) for the model identifying employees with high SA days and 0.831 (95% CI 0.784–0.877) for the model identifying employees with high SA episodes. The Hosmer–Lemeshow test showed acceptable calibration for both models. Conclusions: The prediction models identified employees at risk of high SA, but need further external validation in other settings and working populations before applying them in public and occupational health research and care. [ABSTRACT FROM PUBLISHER]

Abstract: Objective: When designing prediction models by complete case analysis (CCA), missing information in either baseline (predictors) or outcomes may lead to biased results. Multiple imputation (MI) has been shown to be suitable for obtaining unbiased results. This study provides researchers with an empirical illustration of the use of MI in a data set on low back pain, by comparing MI with the more commonly used CCA. Effects will be shown of imputing missing information on the composition and performance of prognostic models, distinguishing imputation of missing values in baseline characteristics and outcome data. Methods: Data came from the Beliefs about Backpain cohort, a study of psychologic obstacles to recovery in primary care back pain patients in the United Kingdom. Candidate predictors included demographics, back pain characteristics, and psychologic variables. Complete case analysis was compared with MI within patients with complete outcome but missing baseline data (n = 809) and patients with missing baseline or outcome data (n = 1591). Multiple imputation was performed by a Multiple Imputation by Chained Equations procedure. Results: Cases with missing outcome data (n = 782, 49.1%) or with missing baseline data (n = 116, 8%) both differed from complete cases regarding the distribution of some predictors and more often had a poor outcome. When comparing CCA with MI, model composition showed to be affected. Conclusions: Complete case analysis can give biased results, even when only small amounts of data are missing. Now that MI is available in standard statistical software, we recommend that it be used to handle missing data. [Copyright &y& Elsevier]

Summary Background Recent evidence indicates that a lower plasma level of 25-hydroxyvitamin D (25 OHD) is associated with a higher risk of the metabolic syndrome. It has not been studied in older people with a high prevalence of vitamin D insufficiency. Objective This study investigates the association between vitamin D status and the metabolic syndrome in community-dwelling older persons in the Netherlands. Design and patients The study is part of the Longitudinal Aging Study Amsterdam, an ongoing cohort study in a representative sample of Dutch older persons. A total of 1286 subjects (629 men and 657 women) between the ages of 65 and 88 years participated in the study. Measurements Metabolic syndrome (U.S. National Cholesterol Education Program definition) and its individual components were assessed as well as serum 25 OHD levels. Results Among the participants, the prevalence of the metabolic syndrome was 37·0%. The mean 25 OHD level was 53·3 n m; 47·8% had 25 OHD levels below 50 n m. There was a significantly increased risk of the metabolic syndrome in the subjects with serum 25 OHD levels below 50 n m, compared with that of subjects with levels over 50 n m [odds ratio (OR) = 1·54; 95% confidence interval (CI) 1·23-1·94]. After adjustment for confounders, age, sex, season, years of education, alcohol use, total activity, smoking and PTH, the OR was 1·29 (95% CI 1·00-1·68). The association between vitamin D deficiency and the metabolic syndrome was mainly determined by the components low HDL and (high) waist circumference. Conclusions Vitamin D deficiency is common in the older population in the Netherlands, and subjects with serum 25 OHD below 50 n m have a higher risk of the metabolic syndrome. [ABSTRACT FROM AUTHOR]

The authors aimed to explore optimal cutoffs for high-risk waist circumference (WC) in older adults to assess the health risks of obesity. Prospective data from 4,996 measurements in 2,232 participants aged ≥70 years were collected during 5 triennial measurement cycles (1992/1993–2005/2006) of a population-based cohort study, the Longitudinal Aging Study Amsterdam (Amsterdam, the Netherlands). Cross-sectional associations of WC with pain, mobility limitations, incontinence, knee osteoarthritis, cardiovascular disease, and diabetes were studied. Generalized estimating equations models were fitted with restricted cubic spline functions in order to carefully study the shapes of the associations. Model fits for applying different cutoffs to categorize WC in the association with all outcomes were tested using the quasi-likelihood under the Independence Criterion (QIC). On the basis of the spline regression curves, potential WC cutoffs of approximately 109 cm in men and 98 cm in women were proposed. Based on the model fit, cutoffs between 100 cm and 106 cm were equally applicable in men but should not be higher. In women, the QIC confirmed an optimal cutoff of 99 cm. [ABSTRACT FROM PUBLISHER]

Background: Long-term trials are needed to capture information regarding the persistence of efficacy and loss to follow-up of both mandibular advancement device (MAD) therapy and continuous positive airway pressure (CPAP) therapy. Objectives: The aim of the study was to compare these treatment aspects between MAD and nasal CPAP (nCPAP) in a 1-year follow-up. Methods:Forty-three mild/moderate obstructive sleep apnea patients (52.2 ± 9.6 years) with a mean apnea-hypopnea index (AHI) of 20.8 ± 9.9 events/h were randomly assigned to two parallel groups: MAD (n = 21) and nCPAP (n = 22). Four polysomnographic recordings were obtained: one before treatment, one for the short-term evaluation, and two recordings 6 and 12 months after the short-term evaluation. Excessive daytime sleepiness (EDS) was also evaluated at the polysomnographic recordings. Results: The initially achieved improvements in the AHI remained stable over time within both groups (p = 0.650). In the nCPAP group, the AHI improved 4.1 events/h more than in the MAD group (p = 0.000). The EDS values showed a gradual improvement over time (p = 0.000), and these improvements were similar for both groups (p = 0.367). In the nCPAP group, more patients withdrew from treatment due to side effects than in the MAD group. Conclusions: The absence of significant long-term differences in EDS improvements between the MAD and the nCPAP groups with mild/moderate obstructive sleep apnea may indicate that the larger improvements in AHI values in the nCPAP group are not clinically relevant. Moreover, nCPAP patients may show more problems in accepting their treatment modality than MAD patients. Copyright © 2011 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Abstract This study aims to compare the use (and related costs) of different health care resources between groups of normally-hearing and hearing-impaired people. A distinction was made between hearing-related and other health care contacts. Data were collected at the baseline measurement of the national longitudinal study on hearing, and at each month during a subsequent period of six months. Hearing status was determined using an internet speech-in-noise test. The sample comprised 1295 normally-hearing and hearing-impaired subjects, aged 18-65 years. Adjusting for confounders, regression models showed that hearing-impaired respondents had significantly more contacts and higher costs for primary, secondary, and occupational care than normally-hearing respondents during the period under investigation. The differences were due to a larger number of health care contacts for which hearing impairment was the main motive to seek help. After excluding these contacts, the differences in health care use and costs between the groups were not significant. This suggests that besides hearing-related contacts, adults with hearing impairment do not make more use of health care resources than adults without hearing difficulties. Sumario El objetivo de este estudio fue comparar el uso (y sus costos) de diferentes formas de cuidados de la salud entre grupos con audición normal o con impedimentos auditivos. Se hizo una distinción entre proveedores de servicios de salud relacionados con la audición u otros. Se colectaron datos con las mediciones de base del estudio longitudinal nacional sobre la audición y subsecuentemente cada mes, durante un período de seis meses. Se determinó la condición auditiva usando una prueba de lenguaje-en-ruido por internet. La muestra comprendió a 1295 normo-oyentes e hipoaúsicos, con edades entre 18-65 años. Con ajustes contra elementos de confusión, los modelos de regresión mostraron que los hipoacúsicos tenían significativamente más contactos y mayores costos de cuidados primarios, secundarios y ocupacionales que los oyentes durante el período de la investigación. Las diferencias se debieron a un mayor número de contactos para cuidados de la salud, que en el caso de los hipoacúsicos, fue el principal motivo de búsqueda de ayuda. Después de excluir esos contactos, las diferencias en uso y costos de cuidados de la salud entre ambos grupos no fue significativa. Esto sugiere que aparte de los contactos relacionados con la audición, los adultos con impedimentos auditivos no hacen más uso de los recursos para cuidados de la salud que los adultos que no tienen dificultades auditivas. [ABSTRACT FROM AUTHOR]

Background: The most common ankle injury is the lateral ankle sprain. Dutch annual sports-related ankle sprain costs can roughly be estimated at 187,200,000. Research has shown that proprioceptive training accounts for an approximated overall 50% reduction in ankle sprain recurrence rate.Hypothesis: An unsupervised proprioceptive training program to reduce the recurrence of lateral ankle sprains will reduce overall health care costs.Design: Cohort study (economic analysis); Level of evidence, 2.Methods: The study included 522 male and female athletes: 256 athletes (120 female and 136 male) in the intervention group, and 266 athletes (128 female and 138 male) in the control group. Both groups received treatment according to usual care. Athletes allocated to the intervention group received an 8-week proprioceptive training program in addition to usual care. Costs per athlete and costs per injured athlete were calculated. Costs related to ankle sprain recurrences were measured from a societal perspective using cost diaries. Bootstrapping was used to analyze the cost-effectiveness data. Follow-up was 1 year.Results: Mean total costs in the intervention group were 81 (standard deviation, 134) per athlete and 114 (325) per injured athlete. Mean overall costs in the control group were 149 (836) per athlete and 447 (1403) per injured athlete. Statistically significant differences in total costs were found per athlete (mean difference, —69; 95% confidence interval, -200 to -2) and per injured athlete (-332; -741 to -62) in favor of the intervention group. A cost-effectiveness plane showed the effect of the intervention was larger and the costs were lower in the intervention group than the control group.Conclusion: The use of a proprioceptive training program after usual care of an ankle sprain is cost-effective for the prevention of ankle sprain recurrences in comparison with usual care alone. In the Netherlands, an estimated annual 35.9 million in medical and lost productivity costs can be saved solely by advocating a proprioceptive training program as in the present study. [ABSTRACT FROM PUBLISHER]

Abstract: Background context: The recovery of patients with chronic low back pain (LBP) is slow. Furthermore, it is recently proposed that chronic LBP needs a prognostic approach to determine who will develop clinically significant back pain. Therefore, it is imperative to identify prognostic factors that are mostly seen in chronic LBP patients at an early stage. This may give clinicians tailored advice to prevent chronicity or may refer to a specific intervention. Purpose: To investigate the contribution of demographic, work, clinical, and psychosocial variables, including new prognostic variables as changes in pain intensity and disability status, on the development of chronic LBP. Study design/setting: Prospective cohort data by merging data from three randomized trials (secondary analyses). Patient sample: Workers (n=628) on sick leave because of subacute nonspecific LBP. Outcome measures: Chronic LBP for longer than 6 months (functional measure). Methods: Potential prognostic variables were demographic, work, clinical, and psychosocial characteristics (self-report measures). We also included as prognostic variables a clinically relevant change in pain intensity and disability status. For the selection of variables and prognostic models, bootstrapping techniques were used in combination with multivariable logistic regression. The explained variance and discrimination were used to evaluate the clinical performance of the models. Results: The variables most strongly related to chronic LBP were as follows: no clinically relevant change in pain intensity and in disability status in the first 3 months, a higher pain intensity score at baseline, and a higher score for kinesiophobia. This prognostic model had a bootstrap-corrected explained variance of 37% and a discriminative ability (c index) of 0.80. Conclusions: Clinical-, work-, and psychosocial-related variables contribute to the development of chronic LBP. The most promising variables are a clinically relevant decrease in pain intensity and in disability status in the first 3 months. These variables are relevant for clinicians to advise their patients with respect to preventive measures or treatment strategies. [Copyright &y& Elsevier]

Background: Recently, a three-item screener, derived from the 16-item distress scale of the Four-Dimensional Symptom Checklist (4DSQ), was used to measure psychological distress in sicklisted employees. The aim of the present study was to investigate the ability of the 16-item distress scale and three-item distress screener to identify non-sicklisted employees at risk of sickness absence (SA) due to mental disorders. Methods: Prospective cohort study including 4877 employees working in distribution and transport. The 4DSQ distress scale was distributed at baseline in November 2010. SA diagnosed within the International Classification of Diseases -10 chapter F was defined as mental SA and retrieved from an occupational health register during 2-year follow-up. The area under the receiver operating characteristic curve (AUC) was used to discriminate between workers with ('cases') and without ('non-cases') mental SA during follow-up. Results: A total of 2782 employees (57%) were included in complete cases analysis; 73 employees had mental SA during 2-year follow-up. Discrimination between cases and non-cases was similar for the 16-item distress scale (AUC =0.721; 95% CI, 0.622-0.823) and the three-item screener (AUC = 0.715; 95% CI, 0.615-0.815). Conclusion: Healthcare providers could use the three-item distress screener to identify non-sicklisted employees at risk of future mental SA. [ABSTRACT FROM AUTHOR]

Abstract: Back pain is a leading cause of disability worldwide and is common in older adults. No clinical prediction models for poor long-term outcomes have been developed in older patients with back pain. This study aimed to develop and internally validate 3 clinical prediction models for nonrecovery in this population. A prospective cohort study in general practice was conducted (Back Complaints in the Elders, Netherlands), including 675 patients >55 years with a new episode of care for back pain. Three definitions of nonrecovery were used combining 6-month and 12-month follow-up data: (1) persistent back pain, (2) persistent disability, and (3) perceived nonrecovery. Sample size calculation resulted in a maximum of 14 candidate predictors that were selected from back pain prognostic literature and clinical experience. Multivariable logistic regression was used to develop the models (backward selection procedure). Models' performance was evaluated with explained variance (Nagelkerke's R2), calibration (Hosmer-Lemeshow test), and discrimination (area under the curve [AUC]) measures. The models were internally validated in 250 bootstrapped samples to correct for overoptimism. All 3 models displayed good overall performance during development and internal validation (ie, R2 > 30%; AUC > 0.77). The model predicting persistent disability performed best, showing good calibration, discrimination (AUC 0.86, 95% confidence interval 0.83-0.89; optimism-adjusted AUC 0.85), and explained variance (R2 49%, optimism-adjusted R2 46%). Common predictors in all models were: age, chronic duration, disability, a recent back pain episode, and patients' recovery expectations. Spinal morning stiffness and pain during spinal rotation were included in 2 of 3 models. These models should be externally validated before being used in a clinical primary care setting. [ABSTRACT FROM AUTHOR]

Abstract: Background and purpose: To evaluate the course of health-related quality of life (HRQOL) from diagnosis to 2years follow-up in patients with head and neck cancer (HNSCC) treated with chemoradiation (CRT). Materials and methods: 164 patients completed the EORTC QLQ-C30 and QLQ-H&N35 questionnaires 1week before and 6weeks and 6, 12, 18, and 24months after CRT. Patients were compared to a reference group. A linear mixed-model analysis was used to assess changes in HRQOL over time, and whether this was associated with age, gender, comorbidity, and tumor sublocation. Results: Significant differences for the majority of HRQOL scales were observed between patient and reference group at baseline, and follow-up. The course of HRQOL was different for survivors compared to non-survivors. In survivors, improvement over time was observed (in global quality of life, physical, role, and social function, fatigue, pain, swallowing, speech, social eating, and social contacts), while in non-survivors the pattern over time was either no changes in HRQOL or a deterioration (in physical function, social eating and contacts). In both survivors and non-survivors, emotional functioning improved after treatment, but deteriorated in the longer term. Patients with comorbidity reported worse physical function, and patients with oral/oropharyngeal cancer (compared to hypopharyngeal/laryngeal cancer) reported more oral pain and sexual problems, but fewer speech problems. Conclusions: The course of HRQOL of HNSCC patients during the first 2years after CRT is different for survivors compared to non-survivors and is associated with comorbidity and tumor subsite. [Copyright &y& Elsevier]

Objective: To evaluate the efficacy of computer-tailored nutrition education with objective outcome measures. Design: A 3-group randomized, controlled trial with posttests at 1 and 6 months post-intervention. Setting: Worksites and 2 neighborhoods in the urban area of Rotterdam. Participants: A convenience sample of healthy Dutch adults (n = 442). Interventions: A computer-tailored intervention delivered on CD-ROM; a computer-tailored intervention delivered in print; and a generic information condition. Main Outcome Measures: Blood lipids (total, high-density lipoprotein, and low-density lipoprotein cholesterol, and triacylglycerol) were measured by analyzing venous blood samples. Analysis: Linear mixed model procedure. Results: There were no significant differences among the 3 intervention groups in total cholesterol, high- density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triacylglycerol. Conclusions and Implications: Contrary to results based on self-report data, no effects of the computer-tailored interventions were found based on objective outcomes. This contradiction calls for a critical reflection on the use of computer-tailored nutrition education interventions and the need to improve those interventions. Furthermore, this study indicates that feasible methods are needed to objectively assess the impact of computer-tailored nutrition education interventions in free-living subjects. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to develop a prediction model for the prognosis of sick leave due to low back pain (LBP). Methods: This is a cohort study with 103 employees sick-listed due to non-specific LBP and spinal disc herniation. A prediction model was developed based on questionnaire data and registered sick leave data with follow up of 180 days. Results: At follow up 31 (30.1%) employees were still sick-listed due to LBP. Forward selection procedure resulted in a model with: catastrophizing, musculoskeletal work load, and disability. The explained variance was 27.3%, calibration was adequate and discrimination was fair with area under the ROC-curve (AUC) = 0.761 (interquartile range [IQR]: 0.755-0.770). Conclusion: The prediction model of this study can adequately predict LBP sick leave after 180 days and could be used for employees sick listed due LBP. [ABSTRACT FROM AUTHOR]

In a prospective study on 134 women after their first cesarean section prognostic factors for developing an uterine niche (scar defect) measured with sonohysterography were evaluated. With multivariable logistic regression anlaysis the following prognostic factors were identified; enlarged cervical dilatation and induction of labour. Contractions before labour reduced the risk for niche development. The predictive value of the model made with this prognostic factors was low. The development of a niche is a multifactorial proces and more studies are needed. [ABSTRACT FROM AUTHOR]

Objectives: Previous studies show that missing values in multi-item questionnaires can best be handled at item score level. The aim of this study was to demonstrate two novel methods for dealing with incomplete item scores in outcome variables in longitudinal studies. The performance of these methods was previously examined in a simulation study. The two methods incorporate item information at the background when simultaneously the study outcomes are estimated. Study Design and Setting: The investigated methods include the item scores or a summary of a parcel of available item scores as auxiliary variables while using the total score of the multi-item questionnaire as the main focus of the analysis in a latent growth model. That way the items help estimating the incomplete information of the total scores. The methods are demonstrated in two empirical data sets. Results: Including the item information results in more precise outcomes in terms of regression coefficient estimates and standard errors, compared with not including item information in the analysis. Conclusion: The inclusion of a parcel summary is an efficient method that does not overcomplicate longitudinal growth estimates. Therefore, it is recommended in situations where multi-item questionnaires are used as outcome measure in longitudinal clinical studies with incomplete scores because of missing item scores. [ABSTRACT FROM AUTHOR]

Abstract: Purpose: The aim of this study was to examine the longitudinal association between educational level and frailty prevalence in older adults and to investigate the role of material, biomedical, behavioral, social, and mental factors in explaining this association. Methods: Data over a period of 13 years were used from the Longitudinal Aging Study Amsterdam. The study sample consisted of older adults aged 65 years and above at baseline (n = 1205). Frailty was assessed using Fried's frailty criteria. A relative index of inequality was calculated for the level of education. Longitudinal logistic regression analyses based on multilevel modeling were performed. Results: Older adults with a low educational level had higher odds of being frail compared with those with a high educational level (relative index of inequality odds ratio, 2.94; 95% confidence interval, 1.84–4.71). These differences persisted during 13 years of follow-up. Adjustment for all explanatory factors reduced the effect of educational level on frailty by 76%. Income, self-efficacy, cognitive impairment, obesity, and number of chronic diseases had the largest individual contribution in reducing the effect. Social factors had no substantial contribution. Conclusions: Our findings highlight the need for a multidimensional approach in developing interventions aimed at reducing frailty, especially in lower educated groups. [Copyright &y& Elsevier]

Objective Purpose of this study is to determine the interobserver and intraobserver variability of 3D GIS in the assessment of intrauterine abnormalities. Study design Forty five 3D volumes were randomly selected from a larger prospective cohort study that studied the diagnostic accuracy of 3D GIS in addition to 2D GIS. To study interobserver agreement volumes were reviewed by two independent examiners. One examiner reviewed these samples twice with an interval of 1 month in a random order. Interobserver and intraobserver agreement were tested with Cohen's kappa coefficient and shown in Bland and Altman plots. Quality of the 3D volumes was evaluated. Results Cohen's kappa for interobserver variability for type of abnormalities (none, polyp, fibroid, other) was 0.64 and for presence of a fibroid (fibroid yes/no) 0.77. Agreement on type of fibroid was 0.59. Intraobserver agreement was almost perfect for type of abnormality (Cohen's kappa of 1.0) and good for fibroid diameter. Quality of the 3D volumes was poor in 11 out of 45 cases. Reproducibility increased when poor quality images were excluded. Conclusion Substantial interobserver and intraobserver agreement for 3D GIS in the diagnoses of intrauterine abnormalities was found. 3D GIS interobserver and intraobserver agreement are good for fibroid diameter and moderate for volume and protrusion. [ABSTRACT FROM AUTHOR]