Predictive value of fear avoidance in developing chronic neck pain disability: consequences for clinical decision making

2004 ◽  
Vol 85 (3) ◽  
pp. 496-501 ◽  
Author(s):  
Marc J Nederhand ◽  
Maarten J IJzerman ◽  
Hermie J Hermens ◽  
Dennis C Turk ◽  
Gerrit Zilvold
Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Miguel A Barboza ◽  
Erwin Chiquete ◽  
Antonio Arauz ◽  
Jonathan Colín ◽  
Alejandro Quiroz-Compean ◽  
...  

Background and purpose: Cerebral venous thrombosis (CVT) not always implies a good prognosis. There is a need for robust and simple classification systems of severity after CVT that help in clinical decision-making. Methods: We studied 467 patients (81.6% women, median age: 29 years, interquartile range: 22-38 years) with CVT who were hospitalized from 1980 to 2014 in two third-level referral hospitals. Bivariate analyses were performed to select variables associated with 30-day mortality to integrate a further multivariate analysis. The resultant model was evaluated with the Hosmer-Lemeshow test for goodness of fit, and on Cox proportional hazards model for reliability of the effect size. After the scale was configured, security and validity were tested for 30-day mortality and modified Rankin scale (mRS) >2. The prognostic performance was compared with that of the CVT risk score (CVT-RS, 0-6 points) as the reference system. Results: The 30-day case fatality rate was 8.7%. The CVT grading scale (CVT-GS, 0-9 points) was integrated by stupor/coma (4 points), parenchymal lesion >6 cm (2 points), mixed (superficial and deep systems) CVT (1 point), meningeal syndrome (1 point) and seizures (1 point). CVT-GS was categorized into mild (0-3 points, 1.1% mortality), moderate (4-6 points, 19.6% mortality) and severe (7-9 points, 61.4% mortality). For 30-day mortality prediction, as compared with CVT-RS (cut-off 4 points), CVT-GS (cut-off 5 points) was globally better in sensitivity (85% vs 37%), specificity (90% vs 95%), positive predictive value (44% vs 40%), negative predictive value (98% vs 94%), and accuracy (94% vs 80%). For 30-day mRS >2 the performance of CVT-GS over CVT-RS was comparably improved. Conclusion: The CVT-GS is a simple and reliable score for predicting outcome that may help in clinical decision-making and that could be used to stratify patients recruited into clinical trials.


PEDIATRICS ◽  
1983 ◽  
Vol 71 (4) ◽  
pp. 673-674
Author(s):  
JOHN C. LEONIDAS ◽  
ANNA BINKIEWICZ ◽  
R. MICHAEL SCOTT ◽  
STEPHEN G. PAUKER

In Reply.— We appreciate the thoughtful comments of Leventhal and Lembo and concur with their conclusion that the clinician needs to know "the probability of skull fracture in a patient with head trauma." Unfortunately, their proposed "clinical likelihood ratio" (CR) will not further that end because it compares the predictive value (or, more precisely, the posterior probability) of a skull fracture after a positive clinical finding to the posterior probability after a negative finding. After the patient has been examined, the patient does not have both findings; thus, the CR cannot apply to the individual patient.


2016 ◽  
Vol 28 (5) ◽  
pp. 512-519 ◽  
Author(s):  
Luigi Canullo ◽  
Sandro Radovanović ◽  
Boris Delibasic ◽  
Juan Antonio Blaya ◽  
David Penarrocha ◽  
...  

Author(s):  
Norollah Javdaneh ◽  
Atle Hole Saeterbakken ◽  
Arash Shams ◽  
Amir Hossein Barati

Background: Chronic neck pain is common in the adult general population. Although the etiology of chronic neck pain is under debate, it is clear that chronic neck pain is multifactorial, with both physical and psychosocial contributors. Objective: To determine whether adding pain neuroscience education (PNE) to therapeutic exercises improved their pain–disability index, pain catastrophizing, fear–avoidance beliefs, and pain self-efficacy in subjects with chronic nonspecific neck pain. Methods: This study was a three-arm randomized control trial. Seventy-two patients with chronic nonspecific neck pain were allocated to three groups: therapeutic exercises alone (n = 24), combined (therapeutic exercises + PNE; (n = 24), and a control group (n = 24). Each program took place three times a week, lasting for six weeks. The disability index, pain catastrophizing, fear–avoidance beliefs, and pain self-efficacy measured by the Neck Pain and Disability Scale (NPAD), Pain Catastrophizing Scale (PCS), Fear–Avoidance Beliefs Questionnaire (FABQ), and Pain Self-Efficacy Questionnaire (PSEQ), respectively. Participants were assessed before and after the six-week intervention, and there was no further follow-up. Results: For the outcomes NPAD, PSC, and FABQ, combined intervention demonstrated more significant improvements than therapeutic exercises alone (p ≤ 0.05), whereas no differences were observed between the two intervention groups for PSEQ (p = 0.99). In addition, significant differences were favoring experimental groups versus control for all outcomes (p ≤ 0.001). Conclusion: Therapeutic exercises combined with pain neuroscience education reduced the pain–disability index, pain catastrophizing, and fear–avoidance beliefs more than therapeutic exercises alone in patients with chronic neck pain. For pain self-efficacy, there was no statistically significant difference between the two intervention groups; however, the combined group had a more significant effect than therapeutic exercises alone. Further studies with longer periods and follow-up are required.


2018 ◽  
Vol 84 (8) ◽  
pp. 1339-1344
Author(s):  
Libby R. Copeland-Halperin ◽  
Erica Emery ◽  
Devon Collins ◽  
Chang Liu ◽  
Jonathan Dort

Bacteremia is a worrisome postoperative complication and blood cultures (BCx) are often nondiagnostic. We previously reported a 4 per cent overall yield of positive cultures in postoperative patients. To reduce unnecessary testing, we present a predictive model to identify patients in whom growth of pathogens is unlikely and provide a clinical decision-making guide. Retrospective analysis of nonpregnant patients ≥18 years who had BCx within 10 days postoperatively was performed. Generalized linear mixed models identified clinical predictors of high- and low-yield cultures. A clinical algorithm was created using significant predictors, and positive predictive value, negative predictive value, sensitivity, and specificity calculated. Among 1759 BCx, hypotension, maximum temperature ≥101.5 °F within 24 hours of culture, and culture collected after postoperative day (POD) two were statistically significant predictors of positive cultures. Forty nine per cent of BCx were sent ≤ POD 2, and <1 per cent of these were positive. When all three criteria were met, the probability of a positive culture increased to 17 per cent. When absent, the probability of a negative culture was 99 per cent. When applied to the initial data set, the model resulted in 85 per cent reduction of cultures with 9 per cent yield of positive cultures. Drawing BCx based on a single predictor is inadequate. Reducing the number of cultures reflexively ordered within the first two POD could significantly reduce the number of unnecessary BCx. Several clinical features identified patients most likely to have positive BCx within the first 10 POD and could reduce unnecessary BCx. This model should be validated in an independent, prospective cohort.


2021 ◽  
Vol 15 (Supplement_1) ◽  
pp. S090-S091
Author(s):  
A Rezazadeh Ardabili ◽  
D Goudkade ◽  
D S J Wintjens ◽  
M J L Romberg-Camps ◽  
B Winkens ◽  
...  

Abstract Background Crohn’s disease (CD) is characterized by a heterogeneous disease course and treatment response. There is a clinical need to identify CD patients at diagnosis who are at risk for developing a severe disease course. Patient stratification using state-of-the-art clinical, serological or genetic markers does not predict disease course sufficiently to facilitate clinical decision making. The current study aimed to investigate the additive predictive value of histopathological features at diagnosis to discriminate between patients with a long-term mild and severe disease course. Methods Diagnostic biopsies from treatment-naïve CD patients with mild or severe disease courses in the first 10 years after diagnosis (i.e. based on the number of quarterly flares) were reviewed by two senior gastrointestinal pathologists after developing a standardized form comprising 15 histopathological features related to acute and chronic inflammation. Multivariable logistic regression models were built to identify predictive features and compute receiver operating characteristics (ROC) curves. Model 1 included clinically relevant baseline characteristics (Montreal classification, smoking status and gender). Next, histopathological were added by applying two different model-building strategies (forward selection and purposeful selection algorithm)(Model 2). Prediction models were internally validated using bootstrapping to obtain optimism-corrected performance estimates. Results In total, 817 biopsies from 137 CD patients (64 mild disease course, 73 severe disease course) were included. Based on clinical baseline characteristics alone, disease course could only be moderately predicted (Model 1 Area under ROC (AUROC): 0.738 (optimism 0.018), 95%CI 0.65–0.83, sensitivity 83.6%, specificity 53.1%). When adding histopathological features, in colonic, but not ileal, biopsies a combination of (1) basal plasmacytosis, (2) severe lymphocyte and plasma cell infiltration in the lamina propria, (3) Paneth cell metaplasia and (4) absence of ulcers were identified and resulted in significantly better prediction of a severe disease course (Model 2 AUROC: 0.883 (optimism 0.033), 95%CI 0.82–0.94, sensitivity 80.4%, specificity 84.2%, model 2 vs. model 1 AUROC p = 0.001)[Figure 1]. Conclusion In this first study investigating the additive predictive value of multiple histopathological features in biopsies at CD diagnosis, we found that certain features of chronic inflammation in colonic biopsies contributed to prediction of a severe disease course, thereby presenting a novel approach to improve stratification and facilitate clinical decision making.


2011 ◽  
Vol 20 (4) ◽  
pp. 121-123
Author(s):  
Jeri A. Logemann

Evidence-based practice requires astute clinicians to blend our best clinical judgment with the best available external evidence and the patient's own values and expectations. Sometimes, we value one more than another during clinical decision-making, though it is never wise to do so, and sometimes other factors that we are unaware of produce unanticipated clinical outcomes. Sometimes, we feel very strongly about one clinical method or another, and hopefully that belief is founded in evidence. Some beliefs, however, are not founded in evidence. The sound use of evidence is the best way to navigate the debates within our field of practice.


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