9 research outputs found
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Code-based Diagnostic Algorithms for Idiopathic Pulmonary Fibrosis. Case Validation and Improvement
RationalePopulation-based studies of idiopathic pulmonary fibrosis (IPF) in the United States have been limited by reliance on diagnostic code-based algorithms that lack clinical validation.ObjectivesTo validate a well-accepted International Classification of Diseases, Ninth Revision, code-based algorithm for IPF using patient-level information and to develop a modified algorithm for IPF with enhanced predictive value.MethodsThe traditional IPF algorithm was used to identify potential cases of IPF in the Kaiser Permanente Northern California adult population from 2000 to 2014. Incidence and prevalence were determined overall and by age, sex, and race/ethnicity. A validation subset of cases (n = 150) underwent expert medical record and chest computed tomography review. A modified IPF algorithm was then derived and validated to optimize positive predictive value.ResultsFrom 2000 to 2014, the traditional IPF algorithm identified 2,608 cases among 5,389,627 at-risk adults in the Kaiser Permanente Northern California population. Annual incidence was 6.8/100,000 person-years (95% confidence interval [CI], 6.1-7.7) and was higher in patients with older age, male sex, and white race. The positive predictive value of the IPF algorithm was only 42.2% (95% CI, 30.6 to 54.6%); sensitivity was 55.6% (95% CI, 21.2 to 86.3%). The corrected incidence was estimated at 5.6/100,000 person-years (95% CI, 2.6-10.3). A modified IPF algorithm had improved positive predictive value but reduced sensitivity compared with the traditional algorithm.ConclusionsA well-accepted International Classification of Diseases, Ninth Revision, code-based IPF algorithm performs poorly, falsely classifying many non-IPF cases as IPF and missing a substantial proportion of IPF cases. A modification of the IPF algorithm may be useful for future population-based studies of IPF
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Cross-specialty integrated resident conferences: an educational approach to bridging the gap.
Rationale and objectivesRadiologists play a pivotal role in patient management, primarily through interacting with referring clinicians. Despite this extensive cross-specialty interaction, radiology resident education rarely involves direct education from clinicians outside the department. We surveyed resident attitudes toward integrated conferences with subspecialty referring physicians both before and after a pilot lecture series at our institution.Materials and methodsThree thoracic-themed multidisciplinary conferences were organized, which involved a variety of clinicians lecturing during normal resident conference times. Resident surveys were administered before and after the complete lectures series as well as immediately after each individual lecture.ResultsThe prelecture series survey indicated residents felt neutral about their confidence in knowing what clinicians want from radiology reports and the current level of "clinician-focus" in the curriculum. Residents indicated a desire for more clinician involvement in lectures. After completion of the series, residents expressed that the integrated conferences were useful and that they had greater confidence in understanding the clinicians' expectation of reports. Resident interest in clinician participation in lectures was higher after series completion. Most residents indicated that prespecified, self-identified learning objectives were met by the lectures. After the completion of the series, most residents indicated that they wanted the series to continue, with the most commonly indicated desired frequency being once or twice a month.ConclusionSubspecialty clinician participation in a cross-specialty integrated resident lecture series was highly favored and well received. An "Integrated Clinical Lecture Series" may be a beneficial addition to radiology residency curriculums
Prevalence and prognosis of unclassifiable interstitial lung disease
The aim of this study was to determine the prevalence, characteristics and outcomes of patients with unclassifiable interstitial lung disease (ILD) and to develop a simple method of predicting disease behaviour. Unclassifiable ILD patients were identified from an ongoing longitudinal cohort. Unclassifiable ILD was diagnosed after a multidisciplinary review did not secure a specific ILD diagnosis. Clinical characteristics and outcomes were compared with idiopathic pulmonary fibrosis (IPF) and non-IPF ILDs. Independent predictors of mortality were determined using Cox proportional-hazards analysis to identify subgroups with distinct disease behaviour. Unclassifiable ILD was diagnosed in 10% of the ILD cohort (132 out of 1370 patients). The most common reason for being unclassifiable was missing histopathological assessment due to a high risk of surgical lung biopsy. Demographic and physiological features of unclassifiable ILD were intermediate between IPF and non-IPF disease controls. Unclassifiable ILD had longer survival rates when compared to IPF on adjusted analysis (hazard ratio 0.62, p = 0.04) and similar survival compared to non-IPF ILDs (hazard ratio 1.54, p = 0.12). Independent predictors of survival in unclassifiable ILD included diffusion capacity of the lung for carbon monoxide (p = 0.001) and a radiological fibrosis score (p = 0.02). Unclassifiable ILD represents approximately 10% of ILD cases and has a heterogeneous clinical course, which can be predicted using clinical and radiological variables