The study prospectively validated the NEXUS II decision rule for predicting intracranial injury in children with blunt head trauma. It found:
1) The NEXUS II rule had high sensitivity (98.9%) and low specificity (9.8%) for detecting intracranial injuries, similar to previous studies.
2) Applying the NEXUS II criteria would significantly increase the CT scan rate from the current 10.4% to over 50% due to a large number of low-risk children meeting criteria.
3) The NEXUS II rule requires further validation in minor head trauma patients to determine its ability to safely reduce unnecessary CT scans in this population.
ASTUTE: Acute Stroke Telemedicine: Utility Training and Evaluation
Implementing Telemedicine in Acute Stroke and the development of a Standardised Telemedicine Tookit
Lancashire Teaching Hsopitals NHS Foundation Trust
Poster from the 'Delivering NHS services, seven days a week' event held in Birmingham on 16 November 2013
More information about this event can be found at
http://www.nhsiq.nhs.uk/news-events/events/nhs-services-seven-days-a-week.aspx
Poster: Audit of Appropriateness for Brain Scan Use for Paediatric Headache a...Lyndon Woytuck
The purpose is to evaluate practice variation at the emergency department in comparison with best practice for brain imaging in children presenting with headache. The results of the study might be used to inform a clinical prediction rule in order to better stratify risk according to the American College of Radiology Appropriateness Criteria.
I created a poster for presentation and am currently working on a paper for publication in a scholarly journal.
ASTUTE: Acute Stroke Telemedicine: Utility Training and Evaluation
Implementing Telemedicine in Acute Stroke and the development of a Standardised Telemedicine Tookit
Lancashire Teaching Hsopitals NHS Foundation Trust
Poster from the 'Delivering NHS services, seven days a week' event held in Birmingham on 16 November 2013
More information about this event can be found at
http://www.nhsiq.nhs.uk/news-events/events/nhs-services-seven-days-a-week.aspx
Poster: Audit of Appropriateness for Brain Scan Use for Paediatric Headache a...Lyndon Woytuck
The purpose is to evaluate practice variation at the emergency department in comparison with best practice for brain imaging in children presenting with headache. The results of the study might be used to inform a clinical prediction rule in order to better stratify risk according to the American College of Radiology Appropriateness Criteria.
I created a poster for presentation and am currently working on a paper for publication in a scholarly journal.
- Discover new methods for managing clinical next-gen data with insights from Pfizer, Boston Children’s Hospital and AstraZeneca
- Uncover and critique the latest technologies out there for you to use in clinical trials. Mayo Clinic, Merck and Harvard Medical School let you into their trade secrets
- Hear the genomics strategies that Roche, Millennium and Regeneron are using for discovery and validation of clinically actionable biomarkers
-Bristol-Myers Squibb, Takeda and Partners Healthcare the role that NGS can play when implementing an effective strategy in the lab to speed up CDx development
- Learn how to integrate molecular details into medical decision making, with fresh data from Washington University School of Medicine and Genzyme
Clinical prediction rule in spinal painNityal Kumar
This lecture is on spinal pain and the clinical methods used in treating the pain. Clinical prediction rules is a research method done systematically describing when to use which method of treatment approach
Predicting Chronic Kidney Disease using Data Mining Techniquesijtsrd
Kidney is a significant aspect of a human body. Kidney infection or disappointments are expanded in every year. Presently a day’s chronic kidney infection is the most well known disease for the individuals. Today numerous individuals pass on due to chronic kidney disease. The principle issue of CKD is, it will influence the kidney gradually. A few people dont have side effects at all and are analysed by a lab test. It depicts the steady loss of kidney work. Early recognition and therapy are viewed as basic variables in the management and control of chronic kidney disease. Data mining techniques is utilized to extract data from clinical and laboratory, which can be useful to help doctors to recognize the seriousness stage of patients. Using Probabilistic Neural Networks PNN algorithm will get better prediction for determining the severity stage of chronic kidney disease. Seethal V | Kuldeep Baban Vayadande "Predicting Chronic Kidney Disease using Data Mining Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37974.pdf Paper URL : https://www.ijtsrd.com/computer-science/data-miining/37974/predicting-chronic-kidney-disease-using-data-mining-techniques/seethal-v
Study on Physicians Request for Computed Tomography Examinations for Patients...IRJESJOURNAL
Background and objectives: There is a lot controversy about the use of Computed tomography (CT) for patients with minor head injury. We aimed to determine the practice of guiding rules for the safety of radiation and increasing awareness of physicians about risks of ionizing radiation and find out the reasons of emergency doctors for sending head injury patients to CT scan exams. Materials and Methods: A descriptive questionnaire in the Emergency Department (ED) based study was performed to assess physicians' knowledge of radiation doses received from radiological treatments and knowledge about Clinic Decision Support rules (CDS). The questionnaire consisted of 26 questions distributed to physicians working in the emergency department in six hospitals in East Java. Finally, the data collected have been analyzed by some tests using SPSS version 15 and Smart PLS. Results: In this study 44 participants had taken part. The percentage of general knowledge and awareness that shows the response of people who work in the emergency departments was total 44 respondents, by percent 6.8% of the respondents had passably knowledge, awareness and 84.1% they were having a good knowledge and awareness and 9.1% the respondents had very good knowledge and awareness. That means almost of respondents have good knowledge and awareness. To find out if an indicator is forming a construct (latent variables) testing the convergent validity of the measurement model with a reflexive indicator assessed based on the correlation between the item score to construct scores were calculated with the help of software Smart PLS. Size reflexive considered valid if the individual has a correlation (loading) to construct (latent variables) to be measured ≥ 0.5 or the value of t-statistics should ≥1.96 (test two tailed) at a significance level of α = 0.05. If one of the indicators has a leading value <0.5,><1.96, then the indicator should be discarded (dropped) because it indicates that the indicators are not good enough to measure the construct in right. The positive influence between general knowledge and awareness against to knowledge about radiation doses can be interpreted that the better general knowledge and awareness, then it will be followed by an increase in their knowledge about radiation doses. And vice versa, the worse general knowledge and awareness, then this will decrease their knowledge about radiation doses too. Conclusion: The present study has illustrated that the level of awareness and knowledge physicians who deal with ionizing radiation in CT scan units are adequate overall. There is a good influence between the diligence in applying the principles of guidance and rules stipulated by the nuclear energy in Indonesia by physicians to adjust the use of CT in the emergency department, the majority of participants who have a good awareness & knowledge, there are some of them do not have enough knowledge.
- Discover new methods for managing clinical next-gen data with insights from Pfizer, Boston Children’s Hospital and AstraZeneca
- Uncover and critique the latest technologies out there for you to use in clinical trials. Mayo Clinic, Merck and Harvard Medical School let you into their trade secrets
- Hear the genomics strategies that Roche, Millennium and Regeneron are using for discovery and validation of clinically actionable biomarkers
-Bristol-Myers Squibb, Takeda and Partners Healthcare the role that NGS can play when implementing an effective strategy in the lab to speed up CDx development
- Learn how to integrate molecular details into medical decision making, with fresh data from Washington University School of Medicine and Genzyme
Clinical prediction rule in spinal painNityal Kumar
This lecture is on spinal pain and the clinical methods used in treating the pain. Clinical prediction rules is a research method done systematically describing when to use which method of treatment approach
Predicting Chronic Kidney Disease using Data Mining Techniquesijtsrd
Kidney is a significant aspect of a human body. Kidney infection or disappointments are expanded in every year. Presently a day’s chronic kidney infection is the most well known disease for the individuals. Today numerous individuals pass on due to chronic kidney disease. The principle issue of CKD is, it will influence the kidney gradually. A few people dont have side effects at all and are analysed by a lab test. It depicts the steady loss of kidney work. Early recognition and therapy are viewed as basic variables in the management and control of chronic kidney disease. Data mining techniques is utilized to extract data from clinical and laboratory, which can be useful to help doctors to recognize the seriousness stage of patients. Using Probabilistic Neural Networks PNN algorithm will get better prediction for determining the severity stage of chronic kidney disease. Seethal V | Kuldeep Baban Vayadande "Predicting Chronic Kidney Disease using Data Mining Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37974.pdf Paper URL : https://www.ijtsrd.com/computer-science/data-miining/37974/predicting-chronic-kidney-disease-using-data-mining-techniques/seethal-v
Study on Physicians Request for Computed Tomography Examinations for Patients...IRJESJOURNAL
Background and objectives: There is a lot controversy about the use of Computed tomography (CT) for patients with minor head injury. We aimed to determine the practice of guiding rules for the safety of radiation and increasing awareness of physicians about risks of ionizing radiation and find out the reasons of emergency doctors for sending head injury patients to CT scan exams. Materials and Methods: A descriptive questionnaire in the Emergency Department (ED) based study was performed to assess physicians' knowledge of radiation doses received from radiological treatments and knowledge about Clinic Decision Support rules (CDS). The questionnaire consisted of 26 questions distributed to physicians working in the emergency department in six hospitals in East Java. Finally, the data collected have been analyzed by some tests using SPSS version 15 and Smart PLS. Results: In this study 44 participants had taken part. The percentage of general knowledge and awareness that shows the response of people who work in the emergency departments was total 44 respondents, by percent 6.8% of the respondents had passably knowledge, awareness and 84.1% they were having a good knowledge and awareness and 9.1% the respondents had very good knowledge and awareness. That means almost of respondents have good knowledge and awareness. To find out if an indicator is forming a construct (latent variables) testing the convergent validity of the measurement model with a reflexive indicator assessed based on the correlation between the item score to construct scores were calculated with the help of software Smart PLS. Size reflexive considered valid if the individual has a correlation (loading) to construct (latent variables) to be measured ≥ 0.5 or the value of t-statistics should ≥1.96 (test two tailed) at a significance level of α = 0.05. If one of the indicators has a leading value <0.5,><1.96, then the indicator should be discarded (dropped) because it indicates that the indicators are not good enough to measure the construct in right. The positive influence between general knowledge and awareness against to knowledge about radiation doses can be interpreted that the better general knowledge and awareness, then it will be followed by an increase in their knowledge about radiation doses. And vice versa, the worse general knowledge and awareness, then this will decrease their knowledge about radiation doses too. Conclusion: The present study has illustrated that the level of awareness and knowledge physicians who deal with ionizing radiation in CT scan units are adequate overall. There is a good influence between the diligence in applying the principles of guidance and rules stipulated by the nuclear energy in Indonesia by physicians to adjust the use of CT in the emergency department, the majority of participants who have a good awareness & knowledge, there are some of them do not have enough knowledge.
Do Children With Blunt Head Trauma and Normal Cranial Computed Tomography Sca...Pommalada Kugimiya
Emergency Radiology-Emergency Medicine Interdepartment Conference
Ann Emerg Med. 2011;58:315-322
Sukkin Pungchim, MD.
Emergency Medicine Resident, PGY II
Elective Rotation in Emergency Radiology
Audit of Appropriateness for Brain Scan Use for Paediatric Headache at the Em...Lyndon Woytuck
The purpose is to evaluate practice variation at the emergency department in comparison with best practice for brain imaging in children presenting with headache. The results of the study might be used to inform a clinical prediction rule in order to better stratify risk according to the American College of Radiology Appropriateness Criteria.
I created a poster for presentation and am currently working on a paper for publication in a scholarly journal.
Clinical trials: quo vadis in the age of covid?Stephen Senn
A discussion of the role of clinical trials in the age of COVID. My contribution to the phastar 2020 life sciences summit https://phastar.com/phastar-life-science-summit
Prenatal Genetic Screening with VarSeqGolden Helix
Our past webcast explored the current approaches for screening and diagnosis of genetic disorders in prenatal testing. While the methods available at the time were robust, they were severely limited, creating a need for a higher diagnostic yield and more efficient analysis for a wider range of genetic tests. The solution proposed was to improve and simplify prenatal screening and diagnosis with whole exome sequencing (WES).
During that webcast, we highlighted the advantages of WES over traditional methods such as karyotyping and chromosomal microarray, including improved accuracy, granularity, and cost-effectiveness. We also emphasized the potential of WES to expand diagnosis for many other adverse maternal-fetal complications beyond the large aneuploidy events previously covered. However, there was still an intimidation factor when it came to the massive data output from the exome. Fortunately, Golden Helix provided the necessary tools to build and standardize these genetic assays, simplifying the analytical process while leveraging increased diagnostic output. We explored our VarSeq software to demonstrate some example workflows of cases positive for Trisomy 21, an exon loss in DMD related to Duchenne Muscular Dystrophy, and detection of a single base change resulting in a LOF variant in RUNX1 relevant to hereditary leukemia.
Our goal was to expose our viewers to the methods of conquering this vast NGS-based data and play a role in dissolving any feeling of intimidation. Overall, exome sequencing has the potential to vastly improve diagnostic outcomes and widen discoveries in the research related to prenatal testing, and Golden Helix products are designed to facilitate this process.
Anti ulcer drugs and their Advance pharmacology ||
Anti-ulcer drugs are medications used to prevent and treat ulcers in the stomach and upper part of the small intestine (duodenal ulcers). These ulcers are often caused by an imbalance between stomach acid and the mucosal lining, which protects the stomach lining.
||Scope: Overview of various classes of anti-ulcer drugs, their mechanisms of action, indications, side effects, and clinical considerations.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
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The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
1. ACCURACY OF NEXUS II HEAD INJURY
DECISION RULE IN
CHILDREN: A PROSPECTIVE PREDICT
COHORT STUDY
Journal Club
By
Dr Abdullah Alzahrani
PEM F1
KSUMC
2. Introduction
• For the last 20 years, different CDRs have been developed to decide which patient go to CT scan .
• PECARN , CATCH , CHALICE
• The National Emergency X-RadiographyUtilisation Study II (NEXUS II) collaboration aimed to provide a
low-risk decision instrument for head injured patients of all ages .In contrast to other CDR for pediatric
patients only
• Prospectively derived in a multicenter data set of 13728 patients of all ages , who underwentCT for their
blunt head injury
• Includes 8 predictor variables (age over 65 years, evidence of skull fracture, scalp hematoma,
neurological deficit, abnormal alertness, abnormal behavior, coagulopathy or persistent vomiting).
• A 7-criteria, was then tested in the pediatric subgroup of 1666 children included in the original derivation
data set
• Showing a very high sensitivity (98.6%, 95% CI 94.9% to 99.8%) and negative predictive value (NPV)
(99.1%, 95%CI 96.9% to 99.9%).
MowerWR, Hoffman JR, Herbert M, et al. Developing a decision instrument to guide computed tomographic imaging of blunt head injury patients.JTrauma 2005;59:954–9
Oman JA, Cooper RJ, Holmes JF, et al. Performance of a decision rule to predict need for computed tomography among children with blunt head trauma. Pediatrics 2006;117:e238–e246.
3. Introduction
• NEXUS II CDR has not been externally validated in a child-specific cohort of
undifferentiated head injuries.
• Recently, the original team which derived the NEXUS II CDR conducted a
validation study in a new data set including 11750 blunt head injuries; in an
analysis of the pediatric cohort of 1018 children sensitivity was 98.0% (95% CI
89.1% to 99.9%) and specificity of 34.0% (95% CI 31.0% to 37.0%) for the
assessment of high-risk status in patients with ICI.
• However, similar to the derivation cohort only patient who had received a CT
scan were included in the study.
MowerWR, Gupta M, Rodriguez R, et al.Validation of the sensitivity of the National Emergency X-Radiography Utilization Study NEXUS) Head computed tomographic (CT) decision
instrument for selective imaging of blunt head injury patients: An observational study. PLoS Med 2017;14:e1002313.
4.
5. Methods
• Prospective ,multicenter , observational study
• 10 pediatric EDs in Australia and New Zealand between April 2011 and
November 2014.
• Enrolled all children aged <18 years presenting with head injury of any severity
• Exclusion criteria : if they had trivial facial injuries, refused participation, had
neuroimaging prior to arrival in ED, did not wait to be seen or were referred for
care outside the ED and if there were social issues preventing an approach of the
patient or family.
• Using the published predictor variables and ICI as outcome variable as defined by
NEXUS
• As predictor and outcome variables were not collected exactly as published, they adapted
them based on available data
6.
7.
8. Methods
• Patients fulfilling one or more of these criteria are considered at high risk for ICI
and are recommended to undergo a head CT
• Patients were enrolled by the treating ED clinician who collected the data
• ED clinicians decided to obtain head CTs at the initial presentation in ED based on
their clinical judgment and their own criteria, no influence on this process.
• A research assistant recorded ED and hospital management data after the visit
and conducted a telephone follow-up for patients who had not undergone
neuroimaging.
• Data of any patients who had representations to the study hospitals leading to a
CT scan within the follow-up period prior to the phone call were used to assess
outcomes.
9. Methods - Analysis
• Primary analysis was the diagnostic accuracy (sensitivity, specificity,NPV and
PPV) of NEXUS II for ICI in patients in the cohort of all presenting patients.
• In a secondary analysis, the diagnostic accuracy (sensitivity, specificity,NPV and
PPV) of NEXUS II for ICI was tested in the cohort who underwent a CT scan.
• Finally, we assessed the diagnostic accuracy of clinician practice to detect ICI if a
CT scan in ED.
• Subgroup analysis in children aged ≤3 years.
18. Discussion
• Both high sensitivity (98.9%; 95% CI 97.3% to 99.7%) and low specificity (9.8%;
95% CI 8.4% to 11.4%) in the CT-only cohort were similar to the analysis of the
original NEXUS data overall and for the paediatric cohort in particular
(sensitivity 98.6% (95% CI 94.9 to 99.8); specificity 15.1%(95% CI 13.3 to 16.9))
• More young children were enrolled in this study compared with original NEXUS II
cohort in that increased number of teenagers.
• Specificity was higher in the overall cohort compared with the CT-only cohort.
while sensitivity was similar.
19. Discussion
• 18 022 head injured children in the study who did not undergo CT imaging, 49.4%
of these patients fulfilled at least one of the NEXUS predictor variables , If this
rule was applied and followed in an undifferentiated cohort of pediatric patients, it
would have the potential to increase the head CT rate.
• When adding predictor positive patients who underwent any CT scan (n=1497)
and those who did not (n=8909), 51.7% (10 406 of 20 109) of all head injured
children would be required to undergo CT imaging as compared with 10.4% (2087
of 20 109) who actually did, an increase of about 400%.
20. Limitation
• The predictor and outcome variables for the NEXUS II CDR would have ideally
been collected exactly.Without adaptation.
• 10% loss to follow-up in the parent study, which may have affected the analysis
including patients who did not undergo CT scanning.
• In the NEXUS derivation study as well as in the validations study by the same
group, patients who were not imaged were generally not followed up
• CT scans were not reviewed centrally; rather CT reports were used to assess ICI.
21. Limitation
• The investigators enrolled all patients regardless of their initial GCS scores.
• as GCS is not provided it is ,it is very difficult to compare populations
• do not need assistance in determining the need for cranial CT scans in patients with GCS
scores below 14 as it is obvious that immediate cranial CT is warranted.
22. Conclusion
• In this multicenter prospective external validation study, the NEXUS II CDR had
high sensitivity and low specificity similar to the derivation study. However, as
approximately half of patients who did not receive a CT scan were positive for
NEXUS II risk criteria, this CDR has the potential to lead to increased scanning
rates in a setting with high clinician accuracy
23. • The current study is underpowered to assure that the NEXUS II rule has an
acceptable sensitivity for an injury that cannot be missed among children with
GCS scores of 15, the population in which overuse of CT scanning occurs, and
where clinical decision rules are most needed
• NEXUS II criteria require validation in a large population of children with minor
head trauma (GCS scores of 14 to 15) to determine the rule’s sensitivity to
identify importantTBI, and its impact on rates of CT scans
• Fortunately, implementation of the PECARN rules has led to safe, decreased CT
scanning, with imaging rates of 9-17%.The PECARN rules were in fact designed to
identify those patients who do not need CT scans.
25. Are the results of the study valid?
• Is the CDR clearly defined?
• Yes , the type of patients and variables included in the rule is clearly defined?
• The population from which the rule was derived included an appropriate
spectrum of patients?
• Yes
• Was the rule validated in a different group of patients?
• Yes , the validation was done in a group of patients similar to the one used to derive it
• Were the predictor variables and the outcome evaluated in a blinded fashion?
NO , as people evaluating the outcome know the predictor variables , and people
evaluating the predictor variables know the outcome
26. Are the results of the study valid?
• Were the predictor variables and the outcome evaluates in the whole sample
selected initially?
• Yes , exclusions well described and the authors discuss the reasons for them
• Are the statistical methods used to construct and validate the rule clearly
described?
Yes , all important variables included and the positivity criteria explained and the
statistical method is adequately described
• Overall it is valid
27. What are the results?
• Can the performance of the rule be calculated?
• Yes , performance results can be presented as: Sens, Sp, PPV and NPV.
28. Will the results help locally?
• Would the CDR be reliable and the results interpretable if used for your
patient?
• Yes , our setting is same that of the study
• Is the rule acceptable in your case?
• yes , it is easy to use and the availability of the rule and the costs
• Would the results of the rule modify your decision about the management of
the patient or the information you can give to him/her?
• NO
Editor's Notes
“As more than 80% of pediatric emergencies are managed in EDs that care adult and children this clinical decision role is ideal decision instrument for emergency physicians in mixed departments”
External validation for NEXUS II in children is limited. In three pediatric studies from Finland, Italy and the USA, All were limited by being conducted in single-centr settings and by the retrospective nature of data extraction , Neither paper lists in detail how the NEXUS definitions were modified to conform with pre-existing data sets. NEXUS sensitivities were reported at 96% (95% CI 90 to 99),88.9% (95% CI 63.9 to 95.6) and 78.3% (95% CI 69.9 to 86.7), respectively
They did external validation of the nexus II CDR for children using prospective collected multicenter data outside the derivation setting , they analysed the accuracy in the cohort that underwent head CT consistent with the original derivation cohort inclusion criteria
Selection of participants :
In this analysis, patients who did not undergo a CT scan, but were followed up by telephone up to 90 days after the injury were coded as not having ICI.
Missing predictor variables were treated as missing presumed negative.
no additional sample size calculation was conducted for this substudy and all available patients who fulfilled inclusion criteria were used.
Tab 3 Most +ve criteria , % of No of +ve criteria , 4 pts has 0 criteria but +ve ICI “aged between 4 and 15 years, presented with a GCS of 15 and fell from height, fell off scooter or were struck by another person at school. All were admitted and none required neurosurgery”
Tab 4ss When analysing risk criteria among 18 022 children who had no initial or subsequent CT scan, 8909 (49.4%) had at least one risk criterion and 2476 (13.7%) had at least two risk criteria (see online supplementary table 4).
Tab 6 Sensitivity increase with No of criteria “sensitivity of NEXUS II increased with the number of risk criteria”
In this study, participating sites were usually also the only pediatric neurosurgical centers in the local areas.