People seek care when a sensation becomes a symptom (a concern). Levels of discomfort and incapability are associated with feelings of distress or unhealthy misinterpretation. To limit mental health ...stigma, it is important to emphasise that this is about how the human mind works (mindsets) and not just about mental illness. Experts in mental health and in pathophysiology can work together, each doing their part to optimise mindset.
BACKGROUND:Upper-extremity-specific disability correlates with mood and coping strategies. The aim of this study was to determine if two psychological factors, kinesiophobia (fear of movement) and ...perceived partner support, contribute significantly to variation in upper-extremity-specific disability in a model that included factors known to contribute to variation such as depression, pain anxiety, and catastrophic thinking.
METHODS:We performed an observational cross-sectional study of 319 patients who each had one of the following conditionstrigger finger (n = 94), carpal tunnel syndrome (n = 29), trapeziometacarpal arthrosis (n = 33), Dupuytren contracture (n = 31), de Quervain syndrome (n = 28), wrist ganglion cyst (n = 32), lateral epicondylosis (n = 41), and a fracture of the distal part of the radius treated nonoperatively six weeks previously (n = 31). Each patient completed the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire and questionnaires measuring symptoms of depression, pain anxiety, catastrophic thinking, kinesiophobia, and perceived level of support from a partner or significant other. Stepwise multiple linear regression was used to determine significant independent predictors of the DASH score.
RESULTS:Men had significantly lower (better) DASH scores than women (21 versus 31; p < 0.01). DASH scores also differed significantly by diagnosis (p < 0.01), marital status (p = 0.047), and employment status (p < 0.01). The DASH score correlated significantly with depressive symptoms (p < 0.01), catastrophic thinking (p < 0.01), kinesiophobia (p < 0.01), and pain anxiety (p < 0.01) but not with perceived partner support. The best multivariable model of factors associated with greater arm-specific disability (according to the DASH score) included sex, diagnosis, employment status, catastrophic thinking, and kinesiophobia and accounted for 55% of the variation.
CONCLUSIONS:In this sample, kinesiophobia and catastrophic thinking were the most important predictors of upper-extremity-specific disability in a model that accounted for symptoms of depression, anxiety, and pathophysiology (diagnosis) and explained more than half of the variation in disability. Perceived partner support was not a significant factor. The consistent and predominant role of several modifiable psychological factors in disability suggests that patients may benefit from a multidisciplinary approach that optimizes mindset and coping strategies.
Purpose Current questionnaires used to measure upper extremity–specific disability can be time-consuming and subject to ceiling effects. The National Institutes of Health developed Patient-Reported ...Outcomes Measurement Information System (PROMIS) measures based on computer adaptive testing (CAT), a technique that is more efficient and less subject to floor and ceiling effects than traditional questionnaires with a fixed number of questions. This study tested the correlation of the Physical Function–Upper Extremity CAT with the Quick –Disabilities of the Arm, Shoulder, and Hand ( Quick DASH) questionnaire. Methods Patients presenting to our orthopedic outpatient clinic were invited to participate in this observational cross-sectional study between August and October 2013. A study sample of 84 patients completed the Quick DASH and PROMIS Physical Function–Upper Extremity CAT, and 3 other PROMIS measures, as well as the 2-question Pain Self-efficacy Questionnaire and the 2-question Patient Health Questionnaire. Results A strong correlation was found between Quick DASH and PROMIS Physical Function–Upper Extremity CAT, with a significantly shorter completion time for the latter. Conclusions We recommend the PROMIS Upper Extremity CAT because it is valid, reliable, and easy to use, and it provides easy reference to population norms (a score of 50 represents the norm in the United States population, and every 10 points represents a standard deviation from the norm). Type of study/level of evidence Prognostic I.
Hypothesis and background Abnormalities of the rotator cuff are more common with age, but the exact prevalence of abnormalities and the extent to which the presence of an abnormality is associated ...with symptoms are topics of debate. Our aim was to review the published literature to establish the prevalence of abnormalities of the rotator cuff and to determine if the prevalence of abnormalities increases with older age in 10-year intervals. In addition, we assessed prevalence in 4 separate groups: (1) asymptomatic patients, (2) general population, (3) symptomatic patients, and (4) patients after shoulder dislocation. Methods We searched PubMed, EMBASE, and the Cochrane Library up to February 24, 2014, and included studies reporting rotator cuff abnormalities by age. Thirty studies including 6112 shoulders met our criteria. We pooled the individual patient data and calculated proportions of patients with and without abnormalities per decade (range, younger than 20 years to 80 years and older). Results Overall prevalence of abnormalities increased with age, from 9.7% (29 of 299) in patients aged 20 years and younger to 62% (166 of 268) in patients aged 80 years and older ( P < .001) (odds ratio, 15; 95% confidence interval, 9.6-24; P < .001). There was a similar increasing prevalence of abnormalities regardless of symptoms or shoulder dislocation. Discussion and conclusion The prevalence of rotator cuff abnormalities in asymptomatic people is high enough for degeneration of the rotator cuff to be considered a common aspect of normal human aging and to make it difficult to determine when an abnormality is new (e.g., after a dislocation) or is the cause of symptoms.
Background
The Charlson Comorbidity Index (CCI) and its modifications are comorbidity-based measures that predict mortality. It was developed for patients without trauma and inconsistently predicted ...mortality and adverse events in several previous studies of patients with trauma.
Purpose
We therefore (1) determined whether the three different CCIs were predictors for in-hospital deaths in patients with hip fractures, (2) verified if the CCI mortality prediction had changed with time, (3) evaluated other predictors of in-hospital death in patients with hip fractures, and (4) determined if the CCI has predicted in-hospital adverse events.
Methods
We retrospectively reviewed a nationwide probability sample survey, the National Hospital Discharge Survey. More than 6 million adult patients with hip fractures and their associated comorbidities were scored by the original 1987 CCI, the 1994 age-adjusted CCI, and the 2011 updated, reweighted CCI. The three mortality indices’ predictive values and predictors of in-hospital adverse events were compared.
Results
For patients with hip fractures, all three CCI variations predicted in-hospital mortality. The receiver operating curves (ROC) of the models were less than 0.68, but they improved when we used statistical models that included age, sex, concomitant injuries, and other comorbidities not contained in the CCI models (ROC > 0.74). The age-adjusted CCI accuracy was slightly better than the other two CCIs. Adverse events during hospital stays were associated with a higher CCI, pertrochanteric fracture (versus transcervical), abdominal, chest, or head trauma, atrial fibrillation, multiple fractures, female sex, and longer hospital stays; however, the accuracy of this model was poor (ROC = 0.65).
Conclusions
While all three CCI variations predicted in-hospital mortality in patients with hip fractures, other factors may be of value in patients with trauma.
PDF
