United States comparative costs and absenteeism of diabetic ophthalmic conditions

Objective: This retrospective cohort study examined the impact of diabetic macular edema (DME), diabetic retinopathy (DR), or diabetes on annual health benefit costs and absenteeism in US employees. Methods: Claims data from 2001 to 2012 was extracted from the Human Capital Management Services Group Research Reference Database on annual direct/indirect health benefit costs and absences for employees aged ≥ 18 years. Employees with DME, DR, or diabetes were identified by International Classification of Diseases, Ninth Revision, Clinical Modification codes. Employees were divided into two groups, drivers or nondrivers, and examined in separate analyses. For drivers and nondrivers, the DME, DR, and diabetes cohorts were compared with their respective control groups (without diabetes). Two-part regression models controlled for demographics and job-related characteristics. Results: A total of 39,702 driver and 426,549 nondriver employees were identified as having ≥ 1 year’s continuous health plan enrollment. Direct medical costs for drivers with DME, DR, or diabetes were $6470, $8021, and $5102, respectively (>2.8 times higher and statistically significant compared with driver controls). Nondrivers with DME and DR incurred significantly higher sick leave and short-term disability costs compared with the nondrivers with diabetes and nondriver controls. In drivers with DME, the majority of days of absence were for short- and long-term disability (12.41 and 11.43 days, respectively). In drivers with DR, the majority of days of absence were for short-term disability (10.70 days). In nondrivers with DME and nondrivers with DR, the majority of days of absence were for sick leave (5.74 and 4.93 days, respectively) and short-term disability (5.08 and 4.93 days, respectively). Conclusion: DME and DR are associated with substantial direct medical cost and absenteeism in this real-world sample of medically insured employees. This research highlights the negative impact of DME and DR on annual costs and absenteeism and may assist employers in assessing the impact of these conditions on employees.     

Child and family predictors of insomnia from early childhood to adolescence

BackgroundInsomnia is prevalent among children and adolescents and is associated with a wide range of negative outcomes. Knowledge about its determinants is therefore important, but due to the lack of longitudinal studies, such knowledge is limited. The aim of the present inquiry is to identify child and family predictors of future pediatric insomnia within a psycho-bio-behavioral framework.MethodsA representative community sample (n = 1,037) was followed biennially from 4 to 14 years of age (2007–2017). Insomnia was defined based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria and was diagnosed by a semistructured clinical interview of children (from age eight years of age) and parents (all ages). Predictors included parent ratings of child emotional reactivity, family functioning, and marital conflict; self-reports of personality; and teacher-rated emotion regulation skills.ResultsRandom intercept cross-lagged analyses revealed that within-person increases (ie, relative to the child's typical levels across childhood) in emotional reactivity and decreases in emotion regulation skills predicted insomnia diagnosis two years later from ages 4 to 14 after adjusting for previous insomnia and all unmeasured time-invariant factors. Previous insomnia was the strongest predictor of later insomnia, whereas family functioning and marital conflict did not predict insomnia.ConclusionsIncreases in emotional reactivity and decreases in emotion regulation skills predicted insomnia above and beyond all unmeasured time-invariant factors and could be targets for interventions. Previous insomnia predicted later insomnia, thereby underscoring the importance of detecting, preventing, and treating insomnia at an early age.     

An eco-friendly HPLC-UV method for the determination of risedronate in its bulk and tablet dosage form with application to content uniformity,dissolution and stability testing

Risedronate is a nitrogen-containing bisphosphonate for the treatment and prevention of postmenopausal osteoporosis. The current work aims to develop a novel green HPLC-UV method for the rapid analysis of risedronate sodium in bulk and tablet formulation. The analyzed samples were separated on Waters Atlantis dC18 (150 mm × 3.9 mm; 5 μm) column using a green mobile phase consisting of potassium phosphate buffer pH 2.9 and potassium edetate buffer pH 9.5 in a ratio of 1:2, the final pH was adjusted to 6.8 with phosphoric acid, the mobile phase was pumped at a rate of 1.0 mL/min, with column temperature set at 30 °C, eluted samples were detected at 263 nm and the chromatographic run time was 3.0 min. The method was found to be linear over the concentration range of 14–140 μg/mL with a correlation coefficient (r²) of 0.9994. Accuracy and precision were evaluated from three QC samples (LQC, MQC and HQC) together with the five calibrators where the percentage accuracy was found to be 101.84%. Processed quality control samples of risedronate sodium were tested for stability at different conditions, short term, long term and freeze- thaw stability. The current method was further extended to study the content uniformity of Actonel® tablets following United States Pharmacopoeia (USP) guidelines. The proposed method was fully validated as per ICH guidelines.     

Étude exploratoire de la santé musculo-squelettique du rachis d’étudiants en ostéopathie

BackgroundDuring their training, students in osteopathy regularly undergo spinal manipulation exercises. This exposes the students’ spine to unskilled gestures performed by their colleagues learning spinal manipulation. Discomfort, muscle soreness or moderate pain following spinal manipulations lasting two or three days are commonly reported. In addition, some students may have ongoing spinal musculoskeletal disease (SMSD) during their studies. The purpose of this study was to evaluate the prevalence of SMSDs and their maximum intensity in a population of osteopathy students and to determine whether individual differences exist.MethodAn exploratory cross-sectional study took place over three years. Data were collected by means of a self-administrated standardised questionnaire screening for MSD: the Nordic questionnaire.ResultsThere were 733 exploitable questionnaires, giving an average response rate of 91.5%. Average prevalence of SMSD was 98.4% during the last 12 months. Average maximum intensity perceived was 6/10 and 45% of students experienced an intense SMSD (scored between 7 and 10/10). Variation of the maximum intensity of SMSD between “before osteopathy studies” and “the last 12 months” was 1.2/10. This variation was influenced by the number of days students were manipulated during a week (p < 0.0001). On average, students underwent manipulation three days a week.ConclusionThis study confirms the important prevalence of SMSD among osteopathy students. This result led us to carry out a qualitative study for exploring students’ conceptions in health and spinal manipulative practices.     

Dynamic posturography and posturographic training for Parkinson’s disease in a routine clinical setting

BackgroundPostural instability in Parkinson’s disease (PD) often is ill-responsive to drugs and DBS. Physiotherapy is recommended but practicability and cost effectiveness are debatable. Research question: Can a simple ‘plug and play’ posturography system produce clinically meaningful measures and elicit postural motor learning in PD patients?Methods40 moderately affected PD patients in a general neurology outpatient clinic who complained of postural instability were included to practice shifts and stabilization of the center of pressure (COP) in a low intensity (once weekly 20-25 minutes over 6 weeks) dynamic posturographic training using the Biodex balance system^TM. Average deviations from mean COP position and from the center of the base of support (BOS) with different degrees of visual feedback in static and dynamic posturographic tasks other than the training tasks, the Berg-Balance-Scale (BBS) and patient self-ratings (FES-I, ABC scale) were assessed before and after training.ResultsPosturographic performance was significantly better with eyes open than closed and more so with explicit visual feedback of COP position (p < 0.005). Only with this latter type of feedback and only the deviation form the BOS in dynamic and static posturography was significantly correlated with BBS and UPDRS III (p < 0.001). The deviation from the BOS under explicit visual feedback significantly improved after training (p < 0.005) whereas BBS, FES-I and ABC-scale did not.SignificanceOur posturography procedures were well applicable as a routine clinical tool. They yielded clinically valid measures when COP position was visible and directional shifts from the BOS centre were quantified. Our training was effective for this posturographic measure only. Its significance as a predictor for clinical efficacy of higher intensity and longer term training schedules is hypothesized and warrants further studies.