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Department Records (department + record)

Distribution by Scientific Domains

Medical Sciences	75%

Selected Abstracts

Posterior fossa malformation in fetuses: a report of 56 further cases and a review of the literature

PRENATAL DIAGNOSIS, Issue 6 2007
F. Forzano
Abstract Objective The purposes of this study were to determine the outcome of fetuses diagnosed as having a posterior fossa abnormality (PFA) and to find out if there are associated features helpful in determining the prognosis. Methods This is a retrospective study of all posterior fossa abnormalities detected prenatally in our Units within the last 10 years. Fifty six patients were selected. Outcome data was collected from the Clinical Genetics Department records and the attending obstetrician or pediatrician. Results An enlarged cisterna magna (ECM, diameter greater than 10 mm at 18,23 gw) was detected in 22 fetuses, which was isolated in 14 cases. All the patients followed-up (n = 11) with isolated ECM were normal at birth (100%). Non-isolated ECM was present in 8 cases. Further information was available in 7, 5 (71%) of whom had a poor outcome. A Dandy Walker complex abnormality (DWC) was detected in 34 patients. The majority of them had a poor prognosis, 54% if isolated and 84% if non-isolated. Conclusions Isolated ECM detected on prenatal scans has a favourable outcome, while DWC is associated with a very high chance of a poor prognosis. Copyright © 2007 John Wiley & Sons, Ltd. [source]

A Comparison of Data Sources for Motor Vehicle Crash Characteristic Accuracy

ACADEMIC EMERGENCY MEDICINE, Issue 8 2000
Robert J. Grant MD
Abstract. Objective: To determine the accuracy of police reports (PRs), ambulance reports (ARs), and emergency department records (EDRs) in describing motor vehicle crash (MVC) characteristics when compared with an investigation performed by an experienced crash investigator trained in impact biomechanics. Methods: This was a cross-sectional, observational study. Ninety-one patients transported by ambulance to a university emergency department (ED) directly from the scene of an MVC from August 1997 to April 1998 were enrolled. Potential patients were identified from the ED log and consent was obtained to investigate the crash vehicle. Data describing MVC characteristics were abstracted from the PR, AR, and medical record. Variables of interest included restraint use (RU), air bag deployment (AD), and type of impact (TI). Agreements between the variables and the independent crash investigation were compared using kappa. Interrater reliability was determined using kappa by comparing a random sample of 20 abstracted reports for each data source with the originally abstracted data. Results: Agreement using kappa between the crash investigation and each data source was 0.588 (95% CI = 0.508 to 0.667) for the PR, 0.330 (95% CI = 0.252 to 0.407) for the AR, and 0.492 (95% CI = 0.413 to 0.572) for the EDR. Variable agreement was 0.239 (95% CI = 0.164 to 0.314) for RU, 0.350 (95% CI = 0.268 to 0.432) for AD, and 0.631 (95%= 0.563 to 0.698) for TI. Interrater reliability was excellent (kappa > 0.8) for all data sources. Conclusions: The strength of the agreement between the independent crash investigation and the data sources that were measured by kappa was fair to moderate, indicating inaccuracies. This presents ramifications for researchers and necessitates consideration of the validity and accuracy of crash characteristics contained in these data sources. [source]

Clinical score for nonbacterial osteitis in children and adults

ARTHRITIS & RHEUMATISM, Issue 4 2009
Annette F. Jansson
Objective To accurately differentiate nonbacterial osteitis (NBO) from other bone lesions by applying a clinical score through the use of validated diagnostic criteria. Methods A retrospective study was conducted to assess data on patients from a pediatric clinic and an orthopedic tertiary care clinic, using administrative International Classification of Diseases codes as well as laboratory and department records from 1996 to 2006. Two hundred twenty-four patients older than age 3 years who had either NBO (n = 102), proven bacterial osteomyelitis (n = 22), malignant bone tumors (n = 48), or benign bone tumors (n = 52) were identified by chart review. Univariate logistic regression was used to determine associations of single risk factors with a diagnosis of NBO, and multivariable logistic regression was used to assess simultaneous risk factor associations with NBO. Results NBO was best predicted by a normal blood cell count (odds ratio [OR] 81.5), symmetric bone lesions (OR 30.0), lesions with marginal sclerosis (OR 26.8), normal body temperature (OR 20.3) a vertebral, clavicular, or sternal location of lesions (OR 13.9), presence of >1 radiologically proven lesion (OR 10.9), and C-reactive protein level ,1 mg/dl (OR 6.9). The clinical score for a diagnosis of NBO based on these predictors ranged from 0 to 63. A score for NBO of ,39 had a positive predictive value of 97% and a sensitivity of 68%. Conclusion The proposed scoring system helps to facilitate the diagnostic process in patients with suspected NBO. Use of this system might spare unnecessary invasive diagnostic and therapeutic procedures. [source]

Identification of alcohol involvement in injury-related hospitalisations using routine data compared to medical record review

AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, Issue 2 2010
Kirsten McKenzie
Abstract Objective: To quantify the extent that alcohol related injuries are adequately identified in hospitalisation data using ICD-10-AM codes indicative of alcohol involvement. Method: A random sample of 4,373 injury-related hospital separations from 1 July 2002 to 30 June 2004 were obtained from a stratified random sample of 50 hospitals across four states in Australia. From this sample, cases were identified as involving alcohol if they contained an ICD-10-AM diagnosis or external cause code referring to alcohol, or if the text description extracted from the medical records mentioned alcohol involvement. Results: Overall, identification of alcohol involvement using ICD codes detected 38% of the alcohol-related sample, while almost 94% of alcohol-related cases were identified through a search of the text extracted from the medical records. The resultant estimate of alcohol involvement in injury-related hospitalisations in this sample was 10%. Emergency department records were the most likely to identify whether the injury was alcohol-related with almost three-quarters of alcohol-related cases mentioning alcohol in the text abstracted from these records. Conclusions and Implications: The current best estimates of the frequency of hospital admissions where alcohol is involved prior to the injury underestimate the burden by around 62%. This is a substantial underestimate that has major implications for public policy, and highlights the need for further work on improving the quality and completeness of routine administrative data sources for identification of alcohol-related injuries. [source]