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Risk stratification of emergency department patients with Crohn's disease could reduce computed tomography use by nearly half.

ABSTRACT: Computed tomography (CT) is a useful tool for assessing disease activity and excluding complications in patients with Crohn's disease (CD). However, excessive radiation increases risk for malignancy. We aimed to identify automatable algorithms with high negative predictive values for significant CT findings in patients with CD who present at the emergency department.We conducted a retrospective review of a tertiary center's medical records to identify adults diagnosed with CD who presented from 2000 through 2011. Logistic regression was used to model complications (perforations, abscesses, or other serious findings) and inflammation.There were 1095 visits made by 613 individuals that included a CT scan within 24 hours of arrival. The average number of CT scans was 1.8 (range, 1-31). Complications of CD were observed in 16.8% of CT scans, inflammation in 54.5%, and new/worse findings in 67.2%. On the basis of 10-fold cross-validation, the area under the receiver operating characteristic curve value for the complications model was 0.80 (95% confidence interval, 0.74-0.86) and for the inflammation model was 0.71 (95% confidence interval, 0.68-0.74). Scanning only patients with model-predicted complications would reduce scans by 43.0%, with a miss rate of 0.8% (4 of 491).Patients presenting to the emergency department with CD are frequently assessed by CT. However, no significant findings are observed in 32.8%, and only 17% have complications from CD. We created models to identify patients not likely to have significant findings from CT with high negative predictive values; these could aid physicians in avoiding CT scans for many patients. Studies are needed to validate these models beyond a single center.

SUBMITTER: Govani SM

PROVIDER: S-EPMC4164599 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature

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Risk stratification of emergency department patients with Crohn's disease could reduce computed tomography use by nearly half.

Govani Shail M SM Guentner Amanda S AS Waljee Akbar K AK Higgins Peter D R PD

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association 20140315 10

<h4>Background & aims</h4>Computed tomography (CT) is a useful tool for assessing disease activity and excluding complications in patients with Crohn's disease (CD). However, excessive radiation increases risk for malignancy. We aimed to identify automatable algorithms with high negative predictive values for significant CT findings in patients with CD who present at the emergency department.<h4>Methods</h4>We conducted a retrospective review of a tertiary center's medical records to identify ad ...[more]

PMID: 24642110

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Project description:BackgroundRapid magnetic resonance imaging (MRI) protocols may be effective in the emergency department (ED) to evaluate nontraumatic neurologic complaints. We evaluate neuroimaging (rapid MRI [rMRI]), head computerized tomography [HCT], and full MRI) use following widespread implementation of rMRI protocols in a pediatric emergency department (ED).MethodsWe conducted a retrospective study in a tertiary care pediatric ED of encounters with neuroimaging during two 9-month periods: one prior to (control period) and one after generalized availability of 4 rMRI protocols (rMRI period). The primary outcome was differences in neuroimaging rates between the two periods. Secondary outcomes included ED process measures, unsuccessful imaging, and undetected pathology, with full MRI within 14?days as the reference standard.ResultsThere were 1052 encounters with neuroimaging during the control and 1308 during the rMRI periods. Differences in neuroimaging between periods were 27.7% for rMRI (95% CI, 24.4, 31.0), -?21.5% for HCT (95% CI, -?25.5, -?17.5), and?-?6.2% for full MRI (95% CI, -?9.3, -?3.1%.) Time to imaging (182 [IQR 138-255] versus 86 [IQR 52-137] minutes) as well as ED length of stay (396 [IQR 304-484] versus 257 [IQR 196-334] minutes) was longer for rMRI versus HCT (p?<?0.01). Between the control and rMRI periods, there were differences in types of neuroimaging performed for patients with altered mental status, headache, seizure, shunt dysfunction, stroke, syncope, trauma, vomiting, infection, and other neurologic complaints (p?<?0.05). rMRI studies were unsuccessful in 3.6% of studies versus 0.0% of HCTs (p?<?0.01). The 22 unsuccessful rMRI studies were unsuccessful due to artifacts from dental hardware (n?=?2) and patient motion (n?=?20). None of the rMRI studies with full MRI follow-up imaging had undetected pathology; the false negative rate for the HCT exams was as high as 25%.ConclusionsAfter routine ED use of 4 rMRI protocols, there was a more than 20% decrease in HCT use without missed diagnoses. Time to neuroimaging and length of stay were longer for rMRI than HCT, with higher rates of unsuccessful imaging. Despite these limitations, rMRI may be an alternative to HCT for nontraumatic complaints in the ED.

Project description:BACKGROUND:Reliably abstracting outcomes from free-text electronic health records remains a challenge. While automated classification of free text has been a popular medical informatics topic, performance validation using real-world clinical data has been limited. The two main approaches are linguistic (natural language processing [NLP]) and statistical (machine learning). The authors have developed a hybrid system for abstracting computed tomography (CT) reports for specified outcomes. OBJECTIVES:The objective was to measure performance of a hybrid NLP and machine learning system for automated outcome classification of emergency department (ED) CT imaging reports. The hypothesis was that such a system is comparable to medical personnel doing the data abstraction. METHODS:A secondary analysis was performed on a prior diagnostic imaging study on 3,710 blunt facial trauma victims. Staff radiologists dictated CT reports as free text, which were then deidentified. A trained data abstractor manually coded the reference standard outcome of acute orbital fracture, with a random subset double-coded for reliability. The data set was randomly split evenly into training and testing sets. Training patient reports were used as input to the Medical Language Extraction and Encoding (MedLEE) NLP tool to create structured output containing standardized medical terms and modifiers for certainty and temporal status. Findings were filtered for low certainty and past/future modifiers and then combined with the manual reference standard to generate decision tree classifiers using data mining tools Waikato Environment for Knowledge Analysis (WEKA) 3.7.5 and Salford Predictive Miner 6.6. Performance of decision tree classifiers was evaluated on the testing set with or without NLP processing. RESULTS:The performance of machine learning alone was comparable to prior NLP studies (sensitivity = 0.92, specificity = 0.93, precision = 0.95, recall = 0.93, f-score = 0.94), and the combined use of NLP and machine learning showed further improvement (sensitivity = 0.93, specificity = 0.97, precision = 0.97, recall = 0.96, f-score = 0.97). This performance is similar to, or better than, that of medical personnel in previous studies. CONCLUSIONS:A hybrid NLP and machine learning automated classification system shows promise in coding free-text electronic clinical data.

Project description:Study objectiveReduced-dose computed tomography (CT) scans have been recommended for diagnosis of kidney stone but are rarely used in the emergency department (ED) setting. Test characteristics are incompletely characterized, particularly in obese patients. Our primary outcome is to determine the sensitivity and specificity of a reduced-dose CT protocol for symptomatic ureteral stones, particularly those large enough to require intervention, using a protocol stratified by patient size.MethodsThis was a prospective, blinded observational study of 201 patients at an academic medical center. Consenting subjects underwent both regular- and reduced-dose CT, stratified into a high and low body mass index (BMI) protocol based on effective abdominal diameter. Reduced-dose CT scans were interpreted by radiologists blinded to regular-dose interpretations. Follow-up for outcome and intervention was performed at 90 days.ResultsCT scans with both regular and reduced doses were conducted for 201 patients, with 63% receiving the high BMI reduced-dose protocol. Ureteral stone was identified in 102 patients (50.7%) of those receiving regular-dose CT, with a ureteral stone greater than 5 mm identified in 26 subjects (12.9%). Sensitivity of the reduced-dose CT for any ureteral stone was 90.2% (95% confidence interval [CI] 82.3% to 95.0%), with a specificity of 99.0% (95% CI 93.7% to 100.0%). For stones greater than 5 mm, sensitivity was 100% (95% CI 85.0% to 100.0%). Reduced-dose CT identified 96% of patients who required intervention for ureteral stone within 90 days. Mean reduction in size-specific dose estimate was 18.6 milligray (mGy), from 21.7 mGy (SD 9.7) to 3.4 mGy (SD 0.9).ConclusionCT with substantial dose reduction was 90.2% (95% CI 82.3% to 95.0%) sensitive and 98.9% (95% CI 85.0% to 100.0%) specific for ureteral stones in ED patients with a wide range of BMIs. Reduced-dose CT was 96.0% (95% CI 80.5% to 99.3%) sensitive for ureteral stones requiring intervention within 90 days.

Project description:ImportanceMaternal emergency department (ED) use before or during pregnancy is associated with worse obstetrical outcomes, for reasons including preexisting medical conditions and challenges in accessing health care. It is not known whether maternal prepregnancy ED use is associated with higher use of the ED by their infant.ObjectiveTo study the association between maternal prepregnancy ED use and risk of infant ED use in the first year of life.Design, setting, and participantsThis population-based cohort study included all singleton livebirths in all of Ontario, Canada, from June 2003 to January 2020.ExposuresAny maternal ED encounter within 90 days preceding the start of the index pregnancy.Main outcomes and measuresAny infant ED visit up to 365 days after the index birth hospitalization discharge date. Relative risks (RR) and absolute risk differences (ARD) were adjusted for maternal age, income, rural residence, immigrant status, parity, having a primary care clinician, and number of prepregnancy comorbidities.ResultsThere were 2 088 111 singleton livebirths; the mean (SD) maternal age was 29.5 (5.4) years, 208 356 (10.0%) were rural dwelling, and 487 773 (23.4%) had 3 or more comorbidities. Among singleton livebirths, 206 539 mothers (9.9%) had an ED visit within 90 days before the index pregnancy. ED use in the first year of life was higher among infants whose mother had visited the ED before pregnancy (570 per 1000) vs those whose mother had not (388 per 1000) (RR, 1.19 [95% CI, 1.18-1.20]; ARD, 91.1 per 1000 [95% CI, 88.6-93.6 per 1000]). Compared with mothers without a prepregnancy ED visit, the RR of infant ED use in the first year was 1.19 (95% CI, 1.18-1.20) if its mother had 1 prepregnancy ED visit, 1.18 (95% CI, 1.17-1.20) following 2 visits, and 1.22 (95% CI, 1.20-1.23) after at least 3 maternal visits. A low-acuity maternal prepregnancy ED visit was associated with an adjusted odds ratio (aOR) of 5.52 (95% CI, 5.16-5.90) for a low-acuity infant ED visit, which was numerically higher than the pairing of a high-acuity ED use between mother and infant (aOR, 1.43, 95% CI, 1.38-1.49).Conclusions and relevanceIn this cohort study of singleton livebirths, prepregnancy maternal ED use was associated with a higher rate of ED use by the infant in the first year of life, especially for low-acuity ED use. This study's results may suggest a useful trigger for health system interventions aimed at reducing some ED use in infancy.

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Risk stratification of emergency department patients with Crohn's disease could reduce computed tomography use by nearly half.

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Risk stratification of emergency department patients with Crohn's disease could reduce computed tomography use by nearly half.

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