Clinical Prediction Rule For Diagnosis Research Articles

Derivation and validation of clinical prediction rules for diagnosis of infectious mononucleosis: a prospective cohort study

ObjectivesInfectious mononucleosis (IM) is a clinical syndrome that is characterised by lymphadenopathy, fever and sore throat. Although generally not considered a serious illness, IM can lead to significant loss of...

Evaluating an Algorithm and Clinical Prediction Rule for Diagnosis of Bone Stress Injuries.

A novel algorithm and clinical prediction rule (CPR), with 18 variables, was created in 2014. The CPR generated a bone stress injury (BSI) score, which was used to determine the necessity of imaging in suspected BSI. To date, there are no validated algorithms for imaging selection in patients with suspected BSI. A simplified CPR will assist clinicians with diagnosis and decision making in patients with suspected BSI. Prospective cohort study. Level 3. A total of 778 military trainees with lower extremity pain were enrolled. All trainees were evaluated for 18 clinical variables suggesting BSI. Participants were monitored via electronic medical record review. Then, a prediction model was developed using logistic regression to identify clinical variables with the greatest predictive value and assigned appropriate weight. Test characteristics for various BSI score thresholds were calculated. Of the enrolled trainees, 204 had imaging-confirmed BSI in or distal to the femoral condyles. The optimized CPR selected 4 clinical variables (weighted score): bony tenderness (3), prior history of BSI (2), pes cavus (2), and increased walking/running volume (1). The optimized CPR with a score ≥3 yielded 97.5% sensitivity, 54.2% specificity, and 98.2% negative predictive value. An isolated measure, bony tenderness, demonstrated similar statistical performance. The optimized CPR, which uses bony tenderness, prior history of BSI, pes cavus, and increased walking/running volume, is valid for detecting BSI in or distal to the femoral condyles. However, bony tenderness alone provides a simpler criterion with an equally strong negative predictive value for BSI decision making. For suspected BSI in or distal to the femoral condyles, imaging can be deferred when there is no bony tenderness. When bony tenderness is present in the setting of 1 or more proven risk factors and no clinical evidence of high-risk bone involvement, presumptive treatment for BSI and serial radiographs may be appropriate.

Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children.

This study aims to develop a clinical prediction rule for the diagnosis of autistic spectrum disorder (ASD) in children. This population-based study was carried out in children aged 2 to 5 years who were suspected of having ASD. Data regarding demographics, risk factors, histories taken from caregivers and clinical observation of ASD symptoms were recorded before specialists assessed patients using standardized diagnostic tools. The predictors were analyzed by multivariate logistic regression analysis and developed into a predictive model. An ASD diagnosis was rendered in 74.8 per cent of 139 participants. The clinical prediction rule consisted of five predictors, namely, delayed speech for their age, history of rarely making eye contact or looking at faces, history of not showing off toys or favorite things, not following clinician's eye direction and low frequency of social interaction with the clinician or the caregiver. At four or more predictors, sensitivity was 100 per cent for predicting a diagnosis of ASD, with a positive likelihood ratio of 16.62. This practical clinical prediction rule would help general practitioners to initially diagnose ASD in routine clinical practice.

Performance of clinical prediction rules for diagnosis of pleural tuberculosis in a high-incidence setting.

Diagnosis of pleural tuberculosis (PT) is still a challenge, particularly in resource-constrained settings. Alternative diagnostic tools are needed. We aimed at evaluating the utility of Clinical Prediction Rules (CPRs) for diagnosis of pleural tuberculosis in Peru. We identified CPRs for diagnosis of PT through a structured literature search. CPRs using high-complexity tests, as defined by the FDA, were excluded. We applied the identified CPRs to patients with pleural exudates attending two third-level hospitals in Lima, Peru, a setting with high incidence of tuberculosis. Besides pleural fluid analysis, patients underwent closed pleural biopsy for reaching a final diagnosis through combining microbiological and histopathological criteria. We evaluated the performance of the CPRs against this composite reference standard using classic indicators of diagnostic test validity. We found 15 eligible CPRs, of which 12 could be validated. Most included ADA, age, lymphocyte proportion and protein in pleural fluid as predictive findings. A total of 259 patients were included for their validation, of which 176 (67%) had PT and 50 (19%) malignant pleural effusion. The overall accuracy of the CPRs varied from 41% to 86%. Two had a positive likelihood ratio (LR) above 10, but none a negative LR below 0.1. ADA alone at a cut-off of ≥40 IU attained 87% diagnostic accuracy and had a positive LR of 6.6 and a negative LR of 0.2. Many CPRs for PT are available. In addition to ADA alone, none of them contributes significantly to diagnosis of PT.

Appropriateness of diagnosis of streptococcal pharyngitis among Thai community pharmacists according to the Centor criteria.

Background Inappropriate use of antibiotic treatment for pharyngitis by community pharmacists is prevalent in developing countries. Little is known about how the pharmacists identify patients with bacterial pharyngitis. Objective To ascertain the appropriateness of diagnosis of streptococcal pharyngitis among Thai community pharmacists according to the Centor criteria and to identify factors related to antibiotic dispensing. Setting 1040 Thai community pharmacists. Method A cross-sectional survey of community pharmacists was conducted in November 2012 to March 2013. The self-administered questionnaires were mailed to 57% of community pharmacists in the south of Thailand (n=1040). The survey included questions on diagnosis of streptococcal pharyngitis, knowledge on pharyngitis, and attitudes and control beliefs regarding antibiotic dispensing. Main outcome measure The appropriateness of diagnosis of streptococcal pharyngitis according to the original and modified Centor criteria and determinants of antibiotic dispensing including demographic characteristics of pharmacists, knowledge on pharyngitis, and attitudes and control beliefs on antibiotic dispensing. Results Approximately 68% completed the questionnaires (n=703). Compared to the pharmacists who reported not dispensing antibiotics in the hypothetical case with common cold, those reported dispensing antibiotics were more likely to consider the following conditions-presence of cough, mild sore throat and patients with age >60years as cues for diagnosis of streptococcal pharyngitis (p<0.05). The use of fewer scores of the clinical prediction rules for diagnosis was observed in antibiotic dispensers, compared to who did not do so (p<0.005). Antibiotic dispensing was positively associated with period of dispensing experience (>5years) [odds ratio (OR) 1.52; 95% confidence interval (CI) 1.03-2.23], belief that antibiotics could shorten duration of pharyngitis (OR 1.48; 95% CI 1.11-1.99), belief that antibiotics could prevent the complications (OR 1.44; 95% CI 1.09-1.91) and belief that dispensing antibiotics could satisfy the patients (OR 1.31; 95% CI 1.01-1.71). Nonetheless, antibiotic dispensing was negatively associated with knowledge about pharyngitis (OR 0.83; 95% CI 0.75-0.93). Conclusion Pharmacists who are knowledgeable on the Centor criteria are more likely to appropriately diagnose streptococcal pharyngitis and less likely to dispense antibiotics in such case.

Review of nucleic acid amplification tests and clinical prediction rules for diagnosis of tuberculosis in acute care facilities.

Tuberculosis (TB) remains an important cause of hospitalization and mortality in the United States. Prevention of TB transmission in acute care facilities relies on prompt identification and implementation of airborne isolation, rapid diagnosis, and treatment of presumptive pulmonary TB patients. In areas with low TB burden, this strategy may result in inefficient utilization of airborne infection isolation rooms (AIIRs). We reviewed TB epidemiology and diagnostic approaches to inform optimal TB detection in low-burden settings. Published clinical prediction rules for individual studies have a sensitivity ranging from 81% to 100% and specificity ranging from 14% to 63% for detection of culture-positive pulmonary TB patients admitted to acute care facilities. Nucleic acid amplification tests (NAATs) have a specificity of >98%, and the sensitivity of NAATs varies by acid-fast bacilli sputum smear status (positive smear, ≥95%; negative smear, 50%-70%). We propose an infection prevention strategy using a clinical prediction rule to identify patients who warrant diagnostic evaluation for TB in an AIIR with an NAAT. Future studies are needed to evaluate whether use of clinical prediction rules and NAATs results in optimized utilization of AIIRs and improved detection and treatment of presumptive pulmonary TB patients.