scholarly journals 3124 Early Electrographic Seizure Detection by Neuro ICU Nurses via Bedside Real-Time Quantitative EEG

2019 ◽  
Vol 3 (s1) ◽  
pp. 38-38
Author(s):  
Safa Kaleem ◽  
Christa B. Swisher
Keyword(s):  
Positive Predictive Value ◽  
Real Time ◽  
Predictive Value ◽  
Quantitative Eeg ◽  
University Hospital ◽  
Duke University ◽  
Study Population ◽  
Time To Detection ◽  
Sensitivity Specificity ◽  
Improve Patient

OBJECTIVES/SPECIFIC AIMS: 1. Determine positive predictive value, negative predictive value, sensitivity, and specificity of Neuro ICU nurse interpretation of real-time bedside qEEG. 2. Determine difference in time to detection of first seizure between Neuro ICU nurse qEEG interpretation and EEG fellow reads of cEEG. 3. Determine what qualities of seizures make detection by neuro ICU nurses more or less likely – e.g. duration of seizures, type of seizures, spatial extent of seizures. METHODS/STUDY POPULATION: Recruit neuro ICU nurses taking care of 150 patients admitted to the Neuro ICU at Duke University Hospital who are initiated on cEEG monitoring. Nurses will be consented for their participation in the study. Neuro ICU nurses will evaluate the qEE RESULTS/ANTICIPATED RESULTS: From literature estimates of a 20% seizure prevalence in critical care settings, we hope to have 30 patients with seizures and 120 without. Based on prior study in the Duke Neuro ICU, we hypothesize that Neuro ICU nurses will have sensitivity and DISCUSSION/SIGNIFICANCE OF IMPACT: This is the first prospective study of neuro ICU nurse interpretation of real-time bedside qEEG in patients with unknown NCSE/NCS presence. If nurse sensitivity, specificity, and positive predictive value are clinically useful, which we deem would be so at a sensitivity of 70% or greater, with acceptable false alarm rate, nurse readings of qEEG could significantly decrease the time to treatment of seizures in the Neuro ICU patient population, and perhaps could improve patient outcomes.

ROLE OF MAMMOGRAPHY AND CORE BIOPSY IN THE DIAGNOSIS OF BREAST TUMOR

2017 ◽  
pp. 69-72
Author(s):  
Trong Hung Phan ◽  
Cong Thuan Dang ◽  
Thanh Thao Nguyen
Keyword(s):  
Breast Cancer ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Breast Tumor ◽  
Core Biopsy ◽  
Breast Tumors ◽  
Breast Disease ◽  
University Hospital ◽  
Sensitivity Specificity

Introduction: Breast tumor is a popular disease. Breast cancer is the most common cancer in women. Mammography is the chosen screening test and ultrasound-guided core-needle biopsy provides (US-CNB) the pathologic result for treatment. Objective: To study the role of mammography and core biopsy in diagnosis of breast tumors. Materials and methodology: Prospective and retrospective study of 33 breast tumors examined mammograms at Hue University Hospital and Hue Central Hospital from 7/2014 to 4/2017. Results: Mean age of breast cancer: 52 years old, of benign breast disease: 53 years old. 86% of all cases admitted to hospital due to self-detecting breast tumor. Locations: 0-3h 33.3%, 9-12h 27.2%. Sensitivity, specificity and accuracy of mammography were 76.9%, 28.6% and 66.7% respectively. Sensitivity, specificity, positive predictive value, negative predictive value, accuracy value of US-CNB were 95.2%, 85.6%, 95.2%, 85.6% and 92.9%, respectively. The value of combined with mammograms and US-CNB has improved the specificity and positive predictive value to 100%, accuracy value to 95.2%. Moreover, this combination discovered 7.1% breast cancer more. Conclusion: US-CNB is a safe and less traumatic diagnostic tool with high pathologic efficiency. Combining mammography and US-CNB increases the diagnostic value. Key words: Breast tumor, breast cancer, mammograms

Predicting Dysphagia with National Institute of Health Stroke Scale: Distinction between Infra- and Supratentorial Region is Essential

2018 ◽  
Vol 46 (3-4) ◽  
pp. 150-158 ◽  
Author(s):  
Bendix Labeit ◽  
Hannah Mueller ◽  
Paul Muhle ◽  
Inga Claus ◽  
Tobias Warnecke ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Haemorrhagic Stroke ◽  
University Hospital ◽  
Neurogenic Dysphagia ◽  
Screening Parameter ◽  
Study Population ◽  
Moderate Sensitivity ◽  
The Ideal

Background: For the early detection of post-stroke dysphagia (PSD), valid screening parameters are crucial as part of a step-wise diagnostic procedure. This study examines the role of the National Institute of Health Stroke Scale (NIH-SS) as a potential low-threshold screening parameter. Methods: During a ten-year period, 687 newly admitted patients at University Hospital Muenster were included in a retrospective analysis, if they had ischemic or haemorrhagic stroke confirmed by neuroimaging and had received NIH-SS scoring and endoscopic swallowing evaluation upon admission. The NIH-SS score was correlated with dysphagia severity as measured by the validated 6-point fiberoptic endoscopic dysphagia severity score (FEDSS), and the ideal cut-off score to predict PSD, defined as FEDSS > 1, was calculated. Supra- and infratentorial strokes were analysed separately due to their differing role in the pathophysiology of neurogenic dysphagia. Results: NIH-SS and dysphagia severity show a significant positive correlation in the whole study population (R2 = 0.745) as well as in both analysed subgroups (R2 = 0.494 for supra- and R2 = 0.646 for infratentorial strokes, p < 0.0005, respectively). For supratentorial strokes, the ideal NIH-SS cut-off is > 9 (sensitivity 68.3%, specificity 61.5%, positive predictive value 89.7%, negative predictive value 28.4%). For infratentorial strokes, a lower ideal cut-off > 5 was calculated (sensitivity 67.4%, specificity 85.0%, positive predictive value 95.1%, negative predictive value 37.8%). Conclusions: NIH-SS may be used as an adjunct to predict dysphagia in acute stroke patients with moderate sensitivity and specificity. Differentiation between supra- and infratentorial regions is essential not to miss dysphagia in infratentorial stroke.

scholarly journals Simulation of Legionnaires’ disease prospective spatiotemporal cluster detection, Allegheny County, Pennsylvania, USA

2018 ◽  
Vol 147 ◽  
Author(s):  
L. T. Orkis ◽  
E. R. Peterson ◽  
M. M. Brooks ◽  
K. J. Mertz ◽  
L. H. Harrison ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Health Departments ◽  
Allegheny County ◽  
Predictive Values ◽  
The Usa ◽  
Increased Sensitivity ◽  
Legionnaires Disease ◽  
Time To Detection ◽  
Sensitivity Specificity

AbstractLegionnaires’ disease (LD) incidence in the USA has quadrupled since 2000. Health departments must detect LD outbreaks quickly to identify and remediate sources. We tested the performance of a system to prospectively detect simulated LD outbreaks in Allegheny County, Pennsylvania, USA. We generated three simulated LD outbreaks based on published outbreaks. After verifying no significant clusters existed in surveillance data during 2014–2016, we embedded simulated outbreak-associated cases into 2016, assigning simulated residences and report dates. We mimicked daily analyses in 2016 using the prospective space-time permutation scan statistic to detect clusters of ⩽30 and ⩽180 days using 365-day and 730-day baseline periods, respectively. We used recurrence interval (RI) thresholds of ⩾20, ⩾100 and ⩾365 days to define significant signals. We calculated sensitivity, specificity and positive and negative predictive values for daily analyses, separately for each embedded outbreak. Two large, simulated cooling tower-associated outbreaks were detected. As the RI threshold was increased, sensitivity and negative predictive value decreased, while positive predictive value and specificity increased. A small, simulated potable water-associated outbreak was not detected. Use of a RI threshold of ⩾100 days minimised time-to-detection while maximizing positive predictive value. Health departments should consider using this system to detect community-acquired LD outbreaks.

scholarly journals The Stroke Assessment of Fall Risk (SAFR): predictive validity in inpatient stroke rehabilitation

2014 ◽  
Vol 28 (12) ◽  
pp. 1218-1224 ◽  
Author(s):  
Terry P Breisinger ◽  
Elizabeth R Skidmore ◽  
Christian Niyonkuru ◽  
Lauren Terhorst ◽  
Grace B Campbell
Keyword(s):  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Fall Risk ◽  
Stroke Rehabilitation ◽  
Assessment Tool ◽  
Area Under The Curve ◽  
University Hospital ◽  
Sensitivity Specificity ◽  
Stroke Assessment

Objective: To evaluate relative accuracy of a newly developed Stroke Assessment of Fall Risk (SAFR) for classifying fallers and non-fallers, compared with a health system fall risk screening tool, the Fall Harm Risk Screen. Design and setting: Prospective quality improvement study conducted at an inpatient stroke rehabilitation unit at a large urban university hospital. Participants: Patients admitted for inpatient stroke rehabilitation ( N = 419) with imaging or clinical evidence of ischemic or hemorrhagic stroke, between 1 August 2009 and 31 July 2010. Interventions: Not applicable. Main outcome measure(s): Sensitivity, specificity, and area under the curve for Receiver Operating Characteristic Curves of both scales’ classifications, based on fall risk score completed upon admission to inpatient stroke rehabilitation. Results: A total of 68 (16%) participants fell at least once. The SAFR was significantly more accurate than the Fall Harm Risk Screen ( p < 0.001), with area under the curve of 0.73, positive predictive value of 0.29, and negative predictive value of 0.94. For the Fall Harm Risk Screen, area under the curve was 0.56, positive predictive value was 0.19, and negative predictive value was 0.86. Sensitivity and specificity of the SAFR (0.78 and 0.63, respectively) was higher than the Fall Harm Risk Screen (0.57 and 0.48, respectively). Conclusions: An evidence-derived, population-specific fall risk assessment may more accurately predict fallers than a general fall risk screen for stroke rehabilitation patients. While the SAFR improves upon the accuracy of a general assessment tool, additional refinement may be warranted.

Accuracy of Medical Examiner’s Assessment for Near–Real-Time Surveillance of Fatal Drug Overdoses, King County, Washington, March 2017–February 2018

2021 ◽  
pp. 003335492110084
Author(s):  
Kirsten Vannice ◽  
Julia Hood ◽  
Nicole Yarid ◽  
Meagan Kay ◽  
Richard Harruff ◽  
...  
Keyword(s):  
Public Health ◽  
Positive Predictive Value ◽  
Real Time ◽  
Negative Predictive Value ◽  
Drug Overdose ◽  
Predictive Value ◽  
Death Certificate ◽  
King County ◽  
Public Health Response ◽  
Drug Overdoses

Objectives Up-to-date information on the occurrence of drug overdose is critical to guide public health response. The objective of our study was to evaluate a near–real-time fatal drug overdose surveillance system to improve timeliness of drug overdose monitoring. Methods We analyzed data on deaths in the King County (Washington) Medical Examiner’s Office (KCMEO) jurisdiction that occurred during March 1, 2017–February 28, 2018, and that had routine toxicology test results. Medical examiners (MEs) classified probable drug overdoses on the basis of information obtained through the death investigation and autopsy. We calculated sensitivity, positive predictive value, specificity, and negative predictive value of MEs’ classification by using the final death certificate as the gold standard. Results KCMEO investigated 2480 deaths; 1389 underwent routine toxicology testing, and 361 were toxicologically confirmed drug overdoses from opioid, stimulant, or euphoric drugs. Sensitivity of the probable overdose classification was 83%, positive predictive value was 89%, specificity was 96%, and negative predictive value was 94%. Probable overdoses were classified a median of 1 day after the event, whereas the final death certificate confirming an overdose was received by KCMEO an average of 63 days after the event. Conclusions King County MEs’ probable overdose classification provides a near–real-time indicator of fatal drug overdoses, which can guide rapid local public health responses to the drug overdose epidemic.

scholarly journals Foundational Statistical Principles in Medical Research: Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value

Medicina ◽  
2021 ◽  
Vol 57 (5) ◽  
pp. 503
Author(s):  
Thomas F. Monaghan ◽  
Syed N. Rahman ◽  
Christina W. Agudelo ◽  
Alan J. Wein ◽  
Jason M. Lazar ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Medical Literature ◽  
Disease Prevalence ◽  
Positive Test Result ◽  
Predictive Values ◽  
Sensitivity Specificity ◽  
Test Result ◽  
Test Probability

Sensitivity, which denotes the proportion of subjects correctly given a positive assignment out of all subjects who are actually positive for the outcome, indicates how well a test can classify subjects who truly have the outcome of interest. Specificity, which denotes the proportion of subjects correctly given a negative assignment out of all subjects who are actually negative for the outcome, indicates how well a test can classify subjects who truly do not have the outcome of interest. Positive predictive value reflects the proportion of subjects with a positive test result who truly have the outcome of interest. Negative predictive value reflects the proportion of subjects with a negative test result who truly do not have the outcome of interest. Sensitivity and specificity are inversely related, wherein one increases as the other decreases, but are generally considered stable for a given test, whereas positive and negative predictive values do inherently vary with pre-test probability (e.g., changes in population disease prevalence). This article will further detail the concepts of sensitivity, specificity, and predictive values using a recent real-world example from the medical literature.

Drawing the line in the Edinburgh Postnatal Depression Scale (EPDS): a vital decision

2011 ◽  
Vol 23 (1) ◽  
Author(s):  
Dagmar Lagerberg ◽  
Margaretha Magnusson ◽  
Claes Sundelin
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Postnatal Depression ◽  
Edinburgh Postnatal Depression Scale ◽  
Depression Scale ◽  
Child Interaction ◽  
Mother Child Interaction ◽  
Problem Behaviours ◽  
Low Sensitivity ◽  
Sensitivity Specificity

Abstract Background: The Edinburgh Postnatal Depression Scale (EPDS) is widely used in early child health care. This study examined the appropriateness of the recommended EPDS cut-off score 11/12. Methods: Two main analyses were performed: 1. Associations between EPDS scores and maternal health behaviour, stress, life events, perceived mother-child interaction quality and child behaviour. 2. Screening parameters of the EPDS, i.e., sensitivity, specificity and positive predictive value. EPDS scores were available for 438 mothers and maternal questionnaires for 361 mothers. Results: Already in the EPDS score intervals 6–8 and 9–11, there were notable adversities, according to maternal questionnaires, in stress, perceived quality of mother-child interaction, perceived child difficultness and child problem behaviours. Using maternal questionnaire reports about sadness/distress postpartum as standard, the recommended EPDS cut-off score 11/12 resulted in a very low sensitivity (24%). The cut-off score 6/7 yielded a sensitivity of 61%, a specificity of 82% and a positive predictive value of 61%. Conclusions: In terms of both clinical relevance and screening qualities, an EPDS cut-off score lower than 11/12 seems recommendable.

Diagnostic accuracy of monofilament test to detect diabetic neuropathy

2021 ◽  
Vol 10 (1) ◽  
pp. 20-25
Author(s):  
Sujan Shrestha ◽  
Mamen Prasad Gorhaly ◽  
Manil Ratna Bajracharya
Keyword(s):  
Peripheral Neuropathy ◽  
Positive Predictive Value ◽  
Diagnostic Accuracy ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Diabetic Peripheral Neuropathy ◽  
Perception Threshold ◽  
Sensitivity Specificity ◽  
Vibration Perception ◽  
Monofilament Test

Background Diabetic peripheral neuropathy (DPN) is a significant independent risk factor for diabetic foot, and an effective screening instrument is required to diagnose DPN early to prevent future ulceration and amputation. This study aims to determine the diagnostic accuracy of monofilament test to detect diabetic peripheral neuropathy. Methods This cross-sectional study was conducted in National Academy of Medical Sciences, Bir hospital, Mahabouddha, Kathmandu from February 2016 to January 2017. A total of 96 diabetic patients attending inpatient and outpatient Department were selected. Diabetic peripheral neuropathy was assessed by measurement of loss of protective sensation (LOPS) by monofilament test and compared with vibration perception threshold by standard biothesiometer. The sensitivity, specificity, positive predictive value and negative predictive value of monofilament test were calculated. Results The prevalence of diabetic peripheral neuropathy was 26%. The sensitivity, specificity, positive predictive value and negative predictive value of monofilament test were found to be 92.0%, 95.8%, 88.5% and 97.1% respectively. There was strong association between LOPS by monofilament and vibration perception threshold by biothesiometer. Conclusion This study showed a strong diagnostic accuracy of monofilament test to detect DPN when compared with biothesiometer. As monofilament test is a cheap, easily available, and portable, it can be used in the periphery where biothesiometer is not available.  

DIAGNOSTIC ACCURACY OF GRAY SCALE ULTRASONOGRAPHY VERSUS COLOR DOPPLER IN SUSPECTED CASES OF ACUTE APPENDICITIS

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Tahir Iqbal ◽  
Muhammad Usman Shahid ◽  
Ishfaq Ahmad Shad ◽  
Shahzad Karim Bhatti ◽  
Syed Amir Gilani ◽  
...  
Keyword(s):  
Acute Appendicitis ◽  
Positive Predictive Value ◽  
Diagnostic Accuracy ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Color Doppler ◽  
Diagnostic Tools ◽  
Gray Scale ◽  
Versus Color ◽  
Sensitivity Specificity

ABSTRACT: BACKGROUND: A common surgical emergency is acute appendicitis. Various diagnostic tools are available to diagnosis acute appendicitis. Radiological investigations play an important role in making accurate and early diagnosis and thus preventing morbidity associated with the disease. OBJECTIVE: To determine the diagnostic accuracy of gray scale ultrasonography versus color Doppler in suspected cases of acute appendicitis. MATERIALS AND METHODS: The study was carried in the department of Radiology of Mayo Hospital, Lahore. A total of 75 patients were enrolled of age 18-40 years, both genders who were suspected cases of acute appendicitis. All patients underwent baseline investigations along with gray scale ultrasonography and color Doppler. All patients were subjected to surgery to confirm the diagnosis and findings were subjected to statistical analysis. RESULTS: The mean age of the patients was 23.25 ±10.55 and mean transverse diameter of appendix was 8.37 ±3.39. There were 62.7% males and 37.3%females. Findings of gray scale ultrasonography and color Doppler were then correlated with surgical findings to calculate the diagnostic accuracy of these modalities. The results revealed that gray scale ultrasonography sensitivity, specificity, positive predictive value, negative predictive value and accuracy was 92.7%, 94.32%, 95%, 91.4% and 93.3% respectively, whereas color Doppler had sensitivity, specificity, positive predictive value, negative predictive value and accuracy of 97.7%, 93.9%, 95.3%, 97% and 96% respectively. Diagnostic accuracy of both modalities together was 98.6%. CONCLUSION: Color Doppler has better diagnostic accuracy than gray scale ultrasonography for diagnosis of acute appendicitis and the combination of both modalities yields diagnostic accuracy that is similar to gold standard.

scholarly journals Reliability of digital panoramic radiography in the diagnosis of carotid artery calcifications

2014 ◽  
Vol 47 (1) ◽  
pp. 28-32 ◽  
Author(s):  
Vilson Lacerda Brasileiro Junior ◽  
Aníbal Henrique Barbosa Luna ◽  
Marcelo Augusto Oliveira de Sales ◽  
Tânia Lemos Coelho Rodrigues ◽  
Priscilla Lopes da Fonseca Abrantes Sarmento ◽  
...  
Keyword(s):  
High Risk ◽  
Carotid Artery ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Carotid Arteries ◽  
Panoramic Radiography ◽  
Digital Panoramic Radiography ◽  
Significant Difference ◽  
Mcnemar’S Test ◽  
Sensitivity Specificity

Objective The present study evaluated the reliability of digital panoramic radiography in the diagnosis of carotid artery calcifications. Materials and Methods Thirty-five patients under high-risk for development of carotid artery calcifications who had digital panoramic radiography were referred to undergo ultrasonography. Thus, 70 arteries were assessed by both methods. The main parameters utilized to evaluate the panoramic radiography reliability in the diagnosis of carotid artery calcifications were accuracy, sensitivity, specificity and positive predictive value of this method as compared with ultrasonography. Additionally, the McNemar's test was utilized to verify whether there was a statistically significant difference between digital panoramic radiography and ultrasonography. Results Ultrasonography demonstrated carotid artery calcifications in 17 (48.57%) patients. Such individuals presented with a total of 29 (41.43%) carotid arteries affected by calcification. Radiography was accurate in 71.43% (n = 50) of cases evaluated. The degree of sensitivity of this method was 37.93%, specificity of 95.12% and positive predictive value of 84.61%. A statistically significant difference (p < 0.001) was observed between the methods evaluated in their capacity to diagnose carotid artery calcifications. Conclusion Digital panoramic radiography should not be indicated as a method of choice in the investigation of carotid artery calcifications.

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