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ISSN:XXXX-XXXX SFJHR, an open access journal
Volume 1 · Issue 1 · 1000004SF J Headache Pain
Research Article Open Access
Publishers
SCIFED
SciFed Journal of Headache and Pain
Nelson Hendler, SF J Headache Pain, 2018, 1:1
page 1 of 8
Comparison of Clinical Diagnoses versus Computerized Test (Expert
System) Diagnoses from the Headache Diagnostic Paradigm (Expert
System)
1
Alessandro Landi, 2
William Speed, *3
Nelson Hendler
1
Professor neurosurgery, University of Rome, Sapienza, Italy
2
Former Associate Professor of medicine, Johns Hopkins University School of Medicine, past president, American Headache
Society, USA
*3
Former Assistant Professor of neurosurgery, Johns Hopkins University School of Medicine, past president American Academy of
Pain Management, USA
Introduction
	 There are over 60 different types of headaches
which have been classified. Unfortunately, many of the
research articles failed to rigorously adhere to diagnostic
criteria for classifying the headaches. Adding to this
confusion is the ever-changing nomenclature associated
with diagnosing and treating headaches. As with all
components of medicine, proper diagnosis is the ultimate
predictive analytic tool. It tells you the etiology of the
problem, it tells you the appropriate test used to confirm
diagnosis of the problem, it tells you the treatment for
the problem, and give some predictive component about
the outcome of treatment. Also, accurate diagnosis serves
as a unifying language, allowing physicians across the
world to understand what is meant with a single diagnosis.
Therefore, rigorous adherence to the diagnostic criteria of
headaches is essential. Without this, appropriate treatment
cannot be implemented.
	 In a review of the incidence of migraine headache
in US Armed forces 1998-2010, the report found that 3%
of all men, and 6% of all female had migraine. It further
states that 3.9% of men and 11.3% female have some sort
of headache. [1]. If diagnosed with migraine, then less
than 1% had other types of headaches. [1]. However, this
begs the question. What is a migraine?
The most common headaches are [2]:
1) Muscle Tension Headache
2)Migraine-common and classic
3)Trigeminal
4)Cluster
5) Chronic daily headache
*
Corresponding author: Nelson Hendler, Former Assistant Professor of
neurosurgery, Johns Hopkins University School of Medicine, past president
American Academy of Pain Management, USA. E-mail: DocNelse@aol.
com
Received July 10, 2018; Accepted July 26, 2018; Published August 08,
2018
Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses
versus Computerized Test (Expert System) Diagnoses from the Headache
Diagnostic Paradigm (Expert System). SF J Headache Pain 1:1.
Copyright: © 2018 Nelson Hendler. This is an open-access article
distributed under the terms of the Creative Commons Attribution License,
which permits unrestricted use, distribution, and reproduction in any
medium, provided the original author and source are credited.
Abstract
	 A number of researchers have found that 35%-70% of patients told they have migraine headache actually
have muscle tension headaches, underscoring the need for more accurate diagnostic methodology. In this study, 34
patients were evaluated and 104 diagnoses made by the clinician, which were related to headache pain. For these
104 headache related diagnoses, the Headache Diagnostic Paradigm made diagnoses which appeared in the medical
records 94.23% of the time (96/104).
ISSN:XXXX-XXXX SFJHR, an open access journal
Volume 1 · Issue 1 · 1000004SF J Headache Pain
Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic
Paradigm (Expert System). SF J Headache Pain 1:1.
page 2 of 8
	 However, the prevalence of misdiagnosis of
headache disorders abounds. The medical literature reports
that 35%-70% of patients called “migraine” don’t have it,
but rather has muscle tension headaches or other types [3].
One of the best examples of failure to properly diagnose
headaches correctly was reported by Donlin Long, MD,
PhD, chairman of neurosurgery at Johns Hopkins Hospital
and his colleagues [4]. They studied 70 patients with
severe headache and neck pain after a head or neck injury
(acceleration-deceleration injury). These patients had
X-rays, MRIs and CT of their neck and head. All had been
told that they had various types of headaches, such as post-
traumatic migraine, post concussion syndrome, classic
migraine, common migraine, whiplash, etc. and nothing
more could be done to treat them except narcotic and other
types of medication.When these 70 patients were evaluated
by a multi-disciplinary team, the group determined that 67
of the 70 patients were candidates for additional medical
testing, which was collectively called the “diagnostic block
protocol.” The protocol consisted of C2-3 root blocks, C2-
C4 zygapophyseal joint blocks, and provocative disco
grams C2-C7. Based on the response to the blocks, 44 of
the 67 patients were considered candidates for a posterior
cervical fusion, C1-C4, in various combinations. Of the
patients who received surgery, 79% had complete relief of
their headaches and neck pain, while 14% had satisfactory
relief. Therefore, from a group of patients who were told
that no treatment was available for their headache, 41 of
the original 70 patients (58%) were able to obtain relief
when accurately diagnosed and correctly treated [4].
	 Further adding to the misdiagnosis of headache
is the totally imprecise nomenclature now used by some
clinicians to describe headaches. The most egregious
exampleofthislackofprecisionis“chronicdailyheadache,
“defined as a headache which occurs more than 15 days a
month. This type of headache lasts more than 4 hours a
day. If it lasts less than 4 hours a day, it is considered a
trigeminal autonomic cephalalgia (TAC). TACs include
episodic & chronic cluster headache, episodic & chronic
paroxysmal hemicrania, SUNCT, & hypnic headache. If
duration is great than 4 hours, then it is possible to chronic
daily headache (CDH) but the differential diagnosis is
chronic migraine, chronic tension-type headache, new
daily persistent headache and hemicrania continua. [5] This
term has no diagnostic value. It is merely a description. It
tells you nothing of the etiology of the headache, whether
the pain is throbbing, or pounding, or muscle tension, or
associated with vertebral body movement. This approach
to so-called “diagnosis” is as ridiculous as saying the
patient complaining of low back pain has the “diagnosis”
of low back pain.
	 A physician should immediately understand why
headaches should be classified based on origin. A single
symptom may have multiple origins, such a flat tire, which
can be caused by a nail in the tread, cut sidewall, leaky
valve stem, or bad bead. A physician has to know the cause
in order to properly repair the tire. This is the value of a
DIAGNOSIS.
	 A single cause (DIAGNOSIS), like a spirochete,
the causative organism of syphilis or Lyme disease, may
have multiple clinical manifestations, such as joint pain,
vascular disease, dementia, or neurological pain. Defining
the origin of any disorder allows a doctor to treat the
causes and address multiple symptoms. There were few
reliable diagnostic tests for headache. Headaches are one
of the most common symptoms and the list of differential
diagnoses has over 60 different types and causes.
	 The most important element of establishing an
accurate diagnosis for headache is a careful history. This is
especially important, because there are very few tests which
as physician can use to establish the cause of a headache.
In one study of 3026 neuroimaging scans in patients with
headache and a normal neurological examination, the
researchers found the following pathology: brain tumours,
0.8%; arteriovenous malformations, 0.2%; hydrocephalus,
0.3%; aneurysm, 0.1%; subdural hematoma, 0.2%; and
strokes, including chronic ischemic processes, 1.2% [6] .
In the 1440 scans of patients with migraine: brain tumour,
0.3%; arteriovenous malformation, 0.07%; and scapular
aneurysm, 0.07% [7].
	 Obtaining a comprehensive history often is
difficult. Two studies reported that physician time with
patients averaged 10.7 to 11 minutes. [8, 9]. One study
recorded the amount of time the patient was able to speak
during these patient visits, and found that the patient was
able to speak only for about 4 minutes of the 11 minutes
[8]. The other study reported face-to-face patient time
measured was 10.7 minutes, and even when the time spent
on “visit-specific “work outside the examination room was
combined it with face-to-face time, the average time per
patient visit was only 13.3 minutes [9].
	 In 2018, The International Classification of
Headache Disorders- 3rd edition was published [10]. It is
impressively comprehensive, and lists virtually any type
of headache or facial pain or injury which could lead to a
symptom of “headache.” A list of the major categories of
ISSN:XXXX-XXXX SFJHR, an open access journal
Volume 1 · Issue 1 · 1000004SF J Headache Pain
Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic
Paradigm (Expert System). SF J Headache Pain 1:1.
page 3 of 8
the ICHD-3 Classification Code follows:
1. Migraine
1.1 Migraine without aura
1.2 Migraine with aura
2. Tension-type headache (TTH)
3. Trigeminal autonomic cephalalgias (TACs)
4. Other primary headache disorders
5. Headache attributed to trauma or injury to the head and/
or neck
6. Headache attributed to cranial and/or cervical vascular
disorder
7. Headache attributed to non-vascular intracranial disorder
8. Headache attributed to a substance or its withdrawal
9. Headache attributed to infection
10. Headache attributed to disorder of homoeostasis
11. Headache or facial pain attributed to disorder of the
cranium, neck, eyes, ears, nose, sinuses, teeth, mouth or
other facial or cervical structure
12. Headache attributed to psychiatric disorder
13. Painful lesions of the cranial nerves and other facial
pain
14. Other headache disorder
	 Asystemofheadacheclassificationwasformulated
bydoingametaanalysisofarticles,whichexaminedvarious
types of treatment for different headache disorders [11-46],
and is shown in Figure 1 below, which is reproduced, with
permission, from Chapter 12 (Headaches-migraine versus
muscle tension versus dental versus tumours) from “Why
40%-80% of Chronic Pain Patients Are Misdiagnosed
and How To Correct That.” [47]. This list is by no means
comprehensive. It represents the types of headaches most
often seen in clinical practice, and forms the clinical basis
for the creation of the questionnaire and scoring algorithm
of this article (Figure 1).
	 Confirmation of diagnosis of certain headaches
cannot be done by medical testing. The only real measure
of the correct diagnosis was the improvement a patient
experiences after accurate diagnosis and the use of the
correct medication. This can be a complicated process. As
an example of this, one patient, who had a residual acoustic
neuroma, underwent a trial of 19 medications before he
obtained relief [40]. However, each medication used has a
different mechanism of action, which helped to delineate
the pathology causing the headache.
	 The use of the correct medication is also
Figure: 1
ISSN:XXXX-XXXX SFJHR, an open access journal
Volume 1 · Issue 1 · 1000004SF J Headache Pain
Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic
Paradigm (Expert System). SF J Headache Pain 1:1.
page 4 of 8
problematic. It should not be symptomatic, but specific
for the type of tissue damage associated with each type of
headache. Matching tissue damage with pharmacological
response is described in a recently published article [48].
	 In order to address the high level of misdiagnosis,
often attributable to incomplete history [49], a
comprehensive Headache Diagnostic Paradigm was
created. Diagnoses generated by results of the Headache
Diagnostic Paradigm were compared to diagnoses from
physicians from Johns Hopkins Hospital. The results of
this comparison are reported in this paper.
Subjects
	 All subjects were patients at Mensana Clinic,
which was an inpatient and outpatient multidisciplinary
diagnostic and treatment center for diagnosing and treating
chronic pain problems, which operated from 1978 until
2006 in Stevenson. Maryland. Seventy-five percent of the
inpatients came from 47 states and 8 foreign countries, and
were not from Maryland. There were 34 patients included
in this study. The patients included in this study represent
new evaluations and returning patients seen between
February 2000, through July 2002 by Dr. Hendler and/or
Dr. Speed, who functioned as the headache consultant to
the clinic. The average age of the patients was 43.4 years.
Forty-two percent of the subjects were males, and fifty
eight percent were females.
Methods
	 The Headache Diagnostic Paradigm was compiled
based on the set of questions either Dr. Hendler or Dr.
Speed would ask a patient. This resulted in a questionnaire
with 45 questions, and 758 possible answers. They then
selected which answers would lead them to reach a
particular diagnosis. Mr. Berne programmed these answers
into a computer scored algorithm, using Bayesian logic,
which assigned the likelihood of a diagnosis to each of the
758 answers, based on clinical assessment of each answer.
The sum of the weighted answers gave a diagnosis and
differential diagnosis.
	 Once the Headache Diagnostic Paradigm
was completely programmed, the researchers then
retrospectively reviewed 34 patients who had headache
as their only chief complaint, or as one of their chief
complaints (with or without associated neck pain and
facial pain). On the day of their initial medical evaluation,
prior to seeing the physician for an evaluation, these
patients completed the Pain Validity Test, The Diagnostic
Paradigm and Treatment Algorithm, and the Headache
Diagnostic Paradigm, The Pain Validity Test and
Diagnostic and Treatment Algorithm have been described
in earlier publication [50-55]. The information from the
answers from the paper –pencil version of the Headache
Diagnostic Paradigm was entered into the recently created
Internet based electronic format. The Headache Diagnostic
Paradigm was scored, by running the computer program,
and the computer generated diagnoses and differential
diagnoses were recorded, based on the symptoms
transferred from each chart to the questionnaire.
	 The computer generated diagnoses were then
compared to the clinical diagnosis recorded in the chart.
In some instances, the only chart record was an initial
evaluation, while others contained a more complete
evaluation, including medical tests, and responses to
medicine to help confirm the diagnosis made at the time
of the initial evaluation. The diagnosis made at the time
of the latest visit recorded in each chart was compared
to the diagnoses generated by the Headache Diagnostic
Paradigm. The results of this comparison are reported in
the next section.
Results
	 The results of comparing the diagnosis found in
the chart and the diagnosis generated by the Headache
Diagnostic Paradigm were tabulated. Diagnoses generated
by the Headache Diagnostic Paradigm were compared
to diagnoses in the chart. The diagnoses by clinicians
were assumed to be accurate. The computer generated
diagnosis was considered a match if the same diagnosis
made by the Headache Diagnostic Paradigm also appeared
in the chart. If a diagnosis generated by the Headache
Diagnostic Paradigm did not appear in the chart, then this
was considered a false positive result. If a diagnosis was
not generated by Headache Diagnostic Paradigm, but did
appear in the chart, this was considered a false negative
result. The Headache Diagnostic Paradigm was designed
to be overly inclusive, so that all types of headaches
related to a given set of symptoms would be reported.
The Headache Diagnostic Paradigm was also designed to
consider diagnoses and differential diagnoses. Therefore
a patient might have a number of diagnoses made by the
Headache Diagnostic Paradigm, but these are rank ordered
by the Bayesian analytic technique. Finally, the responses
to medication given to help headaches were recorded.
	 In the 34 patients included in the study, there were
104 diagnoses made by the clinician, which were related
ISSN:XXXX-XXXX SFJHR, an open access journal
Volume 1 · Issue 1 · 1000004SF J Headache Pain
Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic
Paradigm (Expert System). SF J Headache Pain 1:1.
page 5 of 8
to headache pain, often associated with cervical or jaw
pathology. Diagnoses of co-existing lower back pain, and
limb pain, with the exception of radial nerve entrapment
and thoracic outlet syndrome (which produce headache
symptoms), were not included in the tabulation.
	 In the review of 104 headache related diagnoses
made by the clinician, the Headache Diagnostic Paradigm
made diagnoses which appeared in the medical records
94.23% of the time (96/104). This represents the accuracy
or “match rate.” On the other hand, 23% (24/104) of the
time the Headache Diagnostic Paradigm made diagnoses
which were not in the chart. This is considered a “false
positive rate.” Finally, 6.73% (7/104) diagnoses which
appeared in the medical records were not detected by the
Headache Diagnostic Paradigm, representing the “false
negative” rate, which essentially is a missed diagnosis. 		
	 The rationale for the Report of the Headache
Diagnostic Paradigm was to be as inclusive as possible with
diagnoses and differential diagnoses, so that no diagnosis
would ever be overlooked. This led to generating a large
number of false positive results, which then would require
refinement using pharmacological trials, since there are
very few objective tests which can diagnosis headache.
By being overly inclusive in diagnoses, the chance of
missing a possible diagnosis is reduced. However, the
actual sensitivity of the test cannot be calculated.
	 In general, sensitivity and specificity requires
the prevalence of a disorder in order to be properly
calculated. The prevalence of disorders is determined by
the number of cases extant in a population at a give point
in time. Unfortunately, the prevalence of various types of
headaches is hard to determine, since so many types of
headaches are over-diagnosed, as in the case of migraine, or
under-diagnosed, as in the case of a mixed muscle-tension/
vascular headache, or totally undiagnosed, as in the case
of the description “chronic daily headache”. Moreover,
the sample size, at present, it too small to generate any
meaningful statistics.
Discussion
	 After years of work in the area of expert systems,
a number of authors feel limited progress has been made
[56]. One major hurdle to any developer of an expert
system is the quality of knowledge used to create the
system, and the availability of accurate patient data [57].
Other authors emphasize the value of the longitudinal
clinical data collection, and “data mining” to develop
expert systems [58].
	 The accuracy of any “expert systems” is a core
issue. The expert systems which have the best results
are those which focus on specialized area of medicine.
One questionnaire for rheumatologic disease, evaluated
358 patients. It had 60 questions, and evaluated 32
rheumatologic diseases, [59]. The correlation rate was
74.4%, and an error rate of 25.6%. Forty-four percent of
the errors were attributed to “information deficits of the
computer using standardized questions,” [59]. However
in a prospective study of “RHEUMA” on 51 outpatients,
there was a 90% correlation with clinical experts [60].
The diagnosis of jaundice has been addressed by other
groups. The expert system ICTERUS produced a 70%
accuracy rate [61], while ‘Jaundice’also had a 70% overall
accuracy rate [62]. An expert system for vertigo has an
accuracy rate of 65%, [63]. The expert system was named
O to Neurological Expert (ONE), and it had same results
reported in the earlier article [64]. In the psychiatric realm,
an expert system and a clinician had a 76% agreement
for diagnosis of depression [65]. There was an 85.7%
agreement level with three clinicians using the Computer
Assisted Diagnostic Interview (CADI) for a broad range of
psychiatric disorders, [66]. However, a group of 18 family
practitioners felt the treatment suggested by the computer
system Hypercritic was erroneous 16% of the time [67].
Others have developed a check-list to remind treating
physicians about tests they should order, based on input
into electronic patient records [68]. Only in the narrow
area of managing lipid levels was there an agreement of
93% between expert system management advice and a
specialist, using the interpretation of laboratory and clinical
data [69]. One major stumbling block to the use of expert
systems is the low level of accepting comments from
expert systems (65%) regarding diagnosis of a patient, and
the resistance to recommendations for prescriptions for
patients, with only a 35% acceptance level [70].
	 The Headache Diagnostic Paradigm has achieved
the same level of accuracy as the Diagnostic Paradigm and
Treatment Algorithm, in the 94%-96% range (54, 55). In
large part, this is due to the high percentage of headaches
which are of cervical origin, or are post-traumatic in
nature. Therefore there were a number of questions which
overlapped between the two diagnostic tests. Further
testing on a large number of more diverse headache patients
is needed to improve the specificity and sensitivity as well
as the accuracy of the Headache Diagnostic Paradigm.
ISSN:XXXX-XXXX SFJHR, an open access journal
Volume 1 · Issue 1 · 1000004SF J Headache Pain
Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic
Paradigm (Expert System). SF J Headache Pain 1:1.
page 6 of 8
Disclosure
	 Mr. Berne and Dr. Hendler have a financial interest
in www.HeadacheAssist.com, the website which offers the
Headache Diagnostic Paradigm.
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Volume 1 · Issue 1 · 1000004SF J Headache Pain
Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic
Paradigm (Expert System). SF J Headache Pain 1:1.
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Forensic Examiner 41-49.
51. Hendler N, Baker A (2008) An Internet questionnaire to
predict the presence or absence of organic pathology in chronic
back, neck and limb pain patients, Pan Arab J Neurosurgery 12:
15-24.
52. Hendler N, Mollett A, Levin S (1988) A Comparison
ISSN:XXXX-XXXX SFJHR, an open access journal
Volume 1 · Issue 1 · 1000004SF J Headache Pain
Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic
Paradigm (Expert System). SF J Headache Pain 1:1.
page 8 of 8
Between the Minnesota Multiphasic Personality Inventory and
the Mensana Clinic Pain validity for Validating the Complaint of
Chronic Back Pain. 11 J Occup Med  98-102.
53. Hendler N (2017)An Internet based Questionnaire to Identify
Drug Seeking Behavior in a Patient in the ED and Office. J
Anesth Crit Care Open Access 8: 00306.
54. Hendler N, Berzoksky C, Davis RJ (2007) Comparison of
Clinical Diagnoses Versus Computerized Test Diagnoses Using
the Mensana Clinic Diagnostic Paradigm (Expert System) for
Diagnosing Chronic Pain in the Neck, Back and Limbs. Pan
Arab Journal of Neurosurgery 8-17.
55. Landi A, Davis R, Hendler N, et al. (2016) Diagnoses from
an On-Line Expert System for Chronic Pain Confirmed by Intra-
Operative Findings. J Clin Anesth Pain med 1-7.
56. Metaxiotis KS, Samouilidis JE (2000) Expert systems
in medicine: academic exercise or practical tool? J Med Eng
Technol 24: 68-72.
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and Development. Zentralbl Gynakol 119: 428-434.
58. Babic A (1999) Knowledge Discovery for Advanced Clinical
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59. Schewe S, Herzer P, Kruger K (1990) ProspectiveApplication
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60. Schewe S, Schreiber MA (1993) Stepwise development
of a Clinical Expert System in Rheuatology. Clin Investig 71:
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61. Molino G, Marzuoli M, Molino F, et al. (2000) Validation
of ICTERUS, a Knowledge-Based Expert System for Jaundice
Diagnosis. Methods Inf. Med 39: 311-318.
62.CammaC,GarofaloG,AlmasioP,etal.(1991)APerformance
Evaluation of the Expert System Jaundice in Comparison with
that of Three Hepatologists. J Hepatol 13: 279-285.
63. Kentala E, Auramo Y, Juhola, M, et al. (1998) Comparison
Between Diagnoses of Human Experts and a Neurotologic
Expert System. Ann Otol Rhinol Laryngol 107: 135-140.
64. Kentala EL, Laurikkala JP,Viikki K, et al. (2001) Experiences
of Otoneurological Expert System for Vertigo, Sand Audiol
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65. Cawthorpe D (2001) An Evaluation of a Computer
Based Psychiatric Assessment: Evidence of Expanded Use.
Cyberpyschol Behav.
66. Miller PR, Dasher R, Collins R, et al. (2001) Inpatient
Diagnostic Assessments: 1. Accuracy of Structured vs.
Unstructured Interviews. Psychiatry Res 105: 255-264.
67. van der Lei J, van der Does E, Man Veld AJ, et al. (1993)
Response of General Practitioners to Computer Generated
Critiques of Hypertension Therapy. Methods of Information
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68. Silverman BG, Andonyadis C, Morales A (1998) Web Based
Health Care Agents: the case of reminders and R2Do2. Artificial
Intell Med 14: 295-316.
69. Sinnott MM, Carr B, Markey J, et al. (1993) Knowledge
Based Lipd Management System for General Practitioners. Clin
Chim Acta 222: 71-77.
70. Kuilboer MM, van der Lei J, de Jongste JC, et al. (1998)
Simulating an Integrated Critiquing System. J Am Med Inform
Assoc 5: 194-202.
	
Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses
versus Computerized Test (Expert System) Diagnoses from the Headache
Diagnostic Paradigm (Expert System). SF J Headache Pain 1:1.

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Headache diagnostc paradigm from former Johns Hopkins Hospital staff

  • 1. ISSN:XXXX-XXXX SFJHR, an open access journal Volume 1 · Issue 1 · 1000004SF J Headache Pain Research Article Open Access Publishers SCIFED SciFed Journal of Headache and Pain Nelson Hendler, SF J Headache Pain, 2018, 1:1 page 1 of 8 Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic Paradigm (Expert System) 1 Alessandro Landi, 2 William Speed, *3 Nelson Hendler 1 Professor neurosurgery, University of Rome, Sapienza, Italy 2 Former Associate Professor of medicine, Johns Hopkins University School of Medicine, past president, American Headache Society, USA *3 Former Assistant Professor of neurosurgery, Johns Hopkins University School of Medicine, past president American Academy of Pain Management, USA Introduction There are over 60 different types of headaches which have been classified. Unfortunately, many of the research articles failed to rigorously adhere to diagnostic criteria for classifying the headaches. Adding to this confusion is the ever-changing nomenclature associated with diagnosing and treating headaches. As with all components of medicine, proper diagnosis is the ultimate predictive analytic tool. It tells you the etiology of the problem, it tells you the appropriate test used to confirm diagnosis of the problem, it tells you the treatment for the problem, and give some predictive component about the outcome of treatment. Also, accurate diagnosis serves as a unifying language, allowing physicians across the world to understand what is meant with a single diagnosis. Therefore, rigorous adherence to the diagnostic criteria of headaches is essential. Without this, appropriate treatment cannot be implemented. In a review of the incidence of migraine headache in US Armed forces 1998-2010, the report found that 3% of all men, and 6% of all female had migraine. It further states that 3.9% of men and 11.3% female have some sort of headache. [1]. If diagnosed with migraine, then less than 1% had other types of headaches. [1]. However, this begs the question. What is a migraine? The most common headaches are [2]: 1) Muscle Tension Headache 2)Migraine-common and classic 3)Trigeminal 4)Cluster 5) Chronic daily headache * Corresponding author: Nelson Hendler, Former Assistant Professor of neurosurgery, Johns Hopkins University School of Medicine, past president American Academy of Pain Management, USA. E-mail: DocNelse@aol. com Received July 10, 2018; Accepted July 26, 2018; Published August 08, 2018 Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic Paradigm (Expert System). SF J Headache Pain 1:1. Copyright: © 2018 Nelson Hendler. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Abstract A number of researchers have found that 35%-70% of patients told they have migraine headache actually have muscle tension headaches, underscoring the need for more accurate diagnostic methodology. In this study, 34 patients were evaluated and 104 diagnoses made by the clinician, which were related to headache pain. For these 104 headache related diagnoses, the Headache Diagnostic Paradigm made diagnoses which appeared in the medical records 94.23% of the time (96/104).
  • 2. ISSN:XXXX-XXXX SFJHR, an open access journal Volume 1 · Issue 1 · 1000004SF J Headache Pain Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic Paradigm (Expert System). SF J Headache Pain 1:1. page 2 of 8 However, the prevalence of misdiagnosis of headache disorders abounds. The medical literature reports that 35%-70% of patients called “migraine” don’t have it, but rather has muscle tension headaches or other types [3]. One of the best examples of failure to properly diagnose headaches correctly was reported by Donlin Long, MD, PhD, chairman of neurosurgery at Johns Hopkins Hospital and his colleagues [4]. They studied 70 patients with severe headache and neck pain after a head or neck injury (acceleration-deceleration injury). These patients had X-rays, MRIs and CT of their neck and head. All had been told that they had various types of headaches, such as post- traumatic migraine, post concussion syndrome, classic migraine, common migraine, whiplash, etc. and nothing more could be done to treat them except narcotic and other types of medication.When these 70 patients were evaluated by a multi-disciplinary team, the group determined that 67 of the 70 patients were candidates for additional medical testing, which was collectively called the “diagnostic block protocol.” The protocol consisted of C2-3 root blocks, C2- C4 zygapophyseal joint blocks, and provocative disco grams C2-C7. Based on the response to the blocks, 44 of the 67 patients were considered candidates for a posterior cervical fusion, C1-C4, in various combinations. Of the patients who received surgery, 79% had complete relief of their headaches and neck pain, while 14% had satisfactory relief. Therefore, from a group of patients who were told that no treatment was available for their headache, 41 of the original 70 patients (58%) were able to obtain relief when accurately diagnosed and correctly treated [4]. Further adding to the misdiagnosis of headache is the totally imprecise nomenclature now used by some clinicians to describe headaches. The most egregious exampleofthislackofprecisionis“chronicdailyheadache, “defined as a headache which occurs more than 15 days a month. This type of headache lasts more than 4 hours a day. If it lasts less than 4 hours a day, it is considered a trigeminal autonomic cephalalgia (TAC). TACs include episodic & chronic cluster headache, episodic & chronic paroxysmal hemicrania, SUNCT, & hypnic headache. If duration is great than 4 hours, then it is possible to chronic daily headache (CDH) but the differential diagnosis is chronic migraine, chronic tension-type headache, new daily persistent headache and hemicrania continua. [5] This term has no diagnostic value. It is merely a description. It tells you nothing of the etiology of the headache, whether the pain is throbbing, or pounding, or muscle tension, or associated with vertebral body movement. This approach to so-called “diagnosis” is as ridiculous as saying the patient complaining of low back pain has the “diagnosis” of low back pain. A physician should immediately understand why headaches should be classified based on origin. A single symptom may have multiple origins, such a flat tire, which can be caused by a nail in the tread, cut sidewall, leaky valve stem, or bad bead. A physician has to know the cause in order to properly repair the tire. This is the value of a DIAGNOSIS. A single cause (DIAGNOSIS), like a spirochete, the causative organism of syphilis or Lyme disease, may have multiple clinical manifestations, such as joint pain, vascular disease, dementia, or neurological pain. Defining the origin of any disorder allows a doctor to treat the causes and address multiple symptoms. There were few reliable diagnostic tests for headache. Headaches are one of the most common symptoms and the list of differential diagnoses has over 60 different types and causes. The most important element of establishing an accurate diagnosis for headache is a careful history. This is especially important, because there are very few tests which as physician can use to establish the cause of a headache. In one study of 3026 neuroimaging scans in patients with headache and a normal neurological examination, the researchers found the following pathology: brain tumours, 0.8%; arteriovenous malformations, 0.2%; hydrocephalus, 0.3%; aneurysm, 0.1%; subdural hematoma, 0.2%; and strokes, including chronic ischemic processes, 1.2% [6] . In the 1440 scans of patients with migraine: brain tumour, 0.3%; arteriovenous malformation, 0.07%; and scapular aneurysm, 0.07% [7]. Obtaining a comprehensive history often is difficult. Two studies reported that physician time with patients averaged 10.7 to 11 minutes. [8, 9]. One study recorded the amount of time the patient was able to speak during these patient visits, and found that the patient was able to speak only for about 4 minutes of the 11 minutes [8]. The other study reported face-to-face patient time measured was 10.7 minutes, and even when the time spent on “visit-specific “work outside the examination room was combined it with face-to-face time, the average time per patient visit was only 13.3 minutes [9]. In 2018, The International Classification of Headache Disorders- 3rd edition was published [10]. It is impressively comprehensive, and lists virtually any type of headache or facial pain or injury which could lead to a symptom of “headache.” A list of the major categories of
  • 3. ISSN:XXXX-XXXX SFJHR, an open access journal Volume 1 · Issue 1 · 1000004SF J Headache Pain Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic Paradigm (Expert System). SF J Headache Pain 1:1. page 3 of 8 the ICHD-3 Classification Code follows: 1. Migraine 1.1 Migraine without aura 1.2 Migraine with aura 2. Tension-type headache (TTH) 3. Trigeminal autonomic cephalalgias (TACs) 4. Other primary headache disorders 5. Headache attributed to trauma or injury to the head and/ or neck 6. Headache attributed to cranial and/or cervical vascular disorder 7. Headache attributed to non-vascular intracranial disorder 8. Headache attributed to a substance or its withdrawal 9. Headache attributed to infection 10. Headache attributed to disorder of homoeostasis 11. Headache or facial pain attributed to disorder of the cranium, neck, eyes, ears, nose, sinuses, teeth, mouth or other facial or cervical structure 12. Headache attributed to psychiatric disorder 13. Painful lesions of the cranial nerves and other facial pain 14. Other headache disorder Asystemofheadacheclassificationwasformulated bydoingametaanalysisofarticles,whichexaminedvarious types of treatment for different headache disorders [11-46], and is shown in Figure 1 below, which is reproduced, with permission, from Chapter 12 (Headaches-migraine versus muscle tension versus dental versus tumours) from “Why 40%-80% of Chronic Pain Patients Are Misdiagnosed and How To Correct That.” [47]. This list is by no means comprehensive. It represents the types of headaches most often seen in clinical practice, and forms the clinical basis for the creation of the questionnaire and scoring algorithm of this article (Figure 1). Confirmation of diagnosis of certain headaches cannot be done by medical testing. The only real measure of the correct diagnosis was the improvement a patient experiences after accurate diagnosis and the use of the correct medication. This can be a complicated process. As an example of this, one patient, who had a residual acoustic neuroma, underwent a trial of 19 medications before he obtained relief [40]. However, each medication used has a different mechanism of action, which helped to delineate the pathology causing the headache. The use of the correct medication is also Figure: 1
  • 4. ISSN:XXXX-XXXX SFJHR, an open access journal Volume 1 · Issue 1 · 1000004SF J Headache Pain Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic Paradigm (Expert System). SF J Headache Pain 1:1. page 4 of 8 problematic. It should not be symptomatic, but specific for the type of tissue damage associated with each type of headache. Matching tissue damage with pharmacological response is described in a recently published article [48]. In order to address the high level of misdiagnosis, often attributable to incomplete history [49], a comprehensive Headache Diagnostic Paradigm was created. Diagnoses generated by results of the Headache Diagnostic Paradigm were compared to diagnoses from physicians from Johns Hopkins Hospital. The results of this comparison are reported in this paper. Subjects All subjects were patients at Mensana Clinic, which was an inpatient and outpatient multidisciplinary diagnostic and treatment center for diagnosing and treating chronic pain problems, which operated from 1978 until 2006 in Stevenson. Maryland. Seventy-five percent of the inpatients came from 47 states and 8 foreign countries, and were not from Maryland. There were 34 patients included in this study. The patients included in this study represent new evaluations and returning patients seen between February 2000, through July 2002 by Dr. Hendler and/or Dr. Speed, who functioned as the headache consultant to the clinic. The average age of the patients was 43.4 years. Forty-two percent of the subjects were males, and fifty eight percent were females. Methods The Headache Diagnostic Paradigm was compiled based on the set of questions either Dr. Hendler or Dr. Speed would ask a patient. This resulted in a questionnaire with 45 questions, and 758 possible answers. They then selected which answers would lead them to reach a particular diagnosis. Mr. Berne programmed these answers into a computer scored algorithm, using Bayesian logic, which assigned the likelihood of a diagnosis to each of the 758 answers, based on clinical assessment of each answer. The sum of the weighted answers gave a diagnosis and differential diagnosis. Once the Headache Diagnostic Paradigm was completely programmed, the researchers then retrospectively reviewed 34 patients who had headache as their only chief complaint, or as one of their chief complaints (with or without associated neck pain and facial pain). On the day of their initial medical evaluation, prior to seeing the physician for an evaluation, these patients completed the Pain Validity Test, The Diagnostic Paradigm and Treatment Algorithm, and the Headache Diagnostic Paradigm, The Pain Validity Test and Diagnostic and Treatment Algorithm have been described in earlier publication [50-55]. The information from the answers from the paper –pencil version of the Headache Diagnostic Paradigm was entered into the recently created Internet based electronic format. The Headache Diagnostic Paradigm was scored, by running the computer program, and the computer generated diagnoses and differential diagnoses were recorded, based on the symptoms transferred from each chart to the questionnaire. The computer generated diagnoses were then compared to the clinical diagnosis recorded in the chart. In some instances, the only chart record was an initial evaluation, while others contained a more complete evaluation, including medical tests, and responses to medicine to help confirm the diagnosis made at the time of the initial evaluation. The diagnosis made at the time of the latest visit recorded in each chart was compared to the diagnoses generated by the Headache Diagnostic Paradigm. The results of this comparison are reported in the next section. Results The results of comparing the diagnosis found in the chart and the diagnosis generated by the Headache Diagnostic Paradigm were tabulated. Diagnoses generated by the Headache Diagnostic Paradigm were compared to diagnoses in the chart. The diagnoses by clinicians were assumed to be accurate. The computer generated diagnosis was considered a match if the same diagnosis made by the Headache Diagnostic Paradigm also appeared in the chart. If a diagnosis generated by the Headache Diagnostic Paradigm did not appear in the chart, then this was considered a false positive result. If a diagnosis was not generated by Headache Diagnostic Paradigm, but did appear in the chart, this was considered a false negative result. The Headache Diagnostic Paradigm was designed to be overly inclusive, so that all types of headaches related to a given set of symptoms would be reported. The Headache Diagnostic Paradigm was also designed to consider diagnoses and differential diagnoses. Therefore a patient might have a number of diagnoses made by the Headache Diagnostic Paradigm, but these are rank ordered by the Bayesian analytic technique. Finally, the responses to medication given to help headaches were recorded. In the 34 patients included in the study, there were 104 diagnoses made by the clinician, which were related
  • 5. ISSN:XXXX-XXXX SFJHR, an open access journal Volume 1 · Issue 1 · 1000004SF J Headache Pain Citation: Nelson Hendler (2018) Comparison of Clinical Diagnoses versus Computerized Test (Expert System) Diagnoses from the Headache Diagnostic Paradigm (Expert System). SF J Headache Pain 1:1. page 5 of 8 to headache pain, often associated with cervical or jaw pathology. Diagnoses of co-existing lower back pain, and limb pain, with the exception of radial nerve entrapment and thoracic outlet syndrome (which produce headache symptoms), were not included in the tabulation. In the review of 104 headache related diagnoses made by the clinician, the Headache Diagnostic Paradigm made diagnoses which appeared in the medical records 94.23% of the time (96/104). This represents the accuracy or “match rate.” On the other hand, 23% (24/104) of the time the Headache Diagnostic Paradigm made diagnoses which were not in the chart. This is considered a “false positive rate.” Finally, 6.73% (7/104) diagnoses which appeared in the medical records were not detected by the Headache Diagnostic Paradigm, representing the “false negative” rate, which essentially is a missed diagnosis. The rationale for the Report of the Headache Diagnostic Paradigm was to be as inclusive as possible with diagnoses and differential diagnoses, so that no diagnosis would ever be overlooked. This led to generating a large number of false positive results, which then would require refinement using pharmacological trials, since there are very few objective tests which can diagnosis headache. By being overly inclusive in diagnoses, the chance of missing a possible diagnosis is reduced. However, the actual sensitivity of the test cannot be calculated. In general, sensitivity and specificity requires the prevalence of a disorder in order to be properly calculated. The prevalence of disorders is determined by the number of cases extant in a population at a give point in time. Unfortunately, the prevalence of various types of headaches is hard to determine, since so many types of headaches are over-diagnosed, as in the case of migraine, or under-diagnosed, as in the case of a mixed muscle-tension/ vascular headache, or totally undiagnosed, as in the case of the description “chronic daily headache”. Moreover, the sample size, at present, it too small to generate any meaningful statistics. Discussion After years of work in the area of expert systems, a number of authors feel limited progress has been made [56]. One major hurdle to any developer of an expert system is the quality of knowledge used to create the system, and the availability of accurate patient data [57]. Other authors emphasize the value of the longitudinal clinical data collection, and “data mining” to develop expert systems [58]. The accuracy of any “expert systems” is a core issue. The expert systems which have the best results are those which focus on specialized area of medicine. One questionnaire for rheumatologic disease, evaluated 358 patients. It had 60 questions, and evaluated 32 rheumatologic diseases, [59]. The correlation rate was 74.4%, and an error rate of 25.6%. Forty-four percent of the errors were attributed to “information deficits of the computer using standardized questions,” [59]. However in a prospective study of “RHEUMA” on 51 outpatients, there was a 90% correlation with clinical experts [60]. The diagnosis of jaundice has been addressed by other groups. The expert system ICTERUS produced a 70% accuracy rate [61], while ‘Jaundice’also had a 70% overall accuracy rate [62]. An expert system for vertigo has an accuracy rate of 65%, [63]. The expert system was named O to Neurological Expert (ONE), and it had same results reported in the earlier article [64]. In the psychiatric realm, an expert system and a clinician had a 76% agreement for diagnosis of depression [65]. There was an 85.7% agreement level with three clinicians using the Computer Assisted Diagnostic Interview (CADI) for a broad range of psychiatric disorders, [66]. However, a group of 18 family practitioners felt the treatment suggested by the computer system Hypercritic was erroneous 16% of the time [67]. Others have developed a check-list to remind treating physicians about tests they should order, based on input into electronic patient records [68]. Only in the narrow area of managing lipid levels was there an agreement of 93% between expert system management advice and a specialist, using the interpretation of laboratory and clinical data [69]. One major stumbling block to the use of expert systems is the low level of accepting comments from expert systems (65%) regarding diagnosis of a patient, and the resistance to recommendations for prescriptions for patients, with only a 35% acceptance level [70]. The Headache Diagnostic Paradigm has achieved the same level of accuracy as the Diagnostic Paradigm and Treatment Algorithm, in the 94%-96% range (54, 55). In large part, this is due to the high percentage of headaches which are of cervical origin, or are post-traumatic in nature. Therefore there were a number of questions which overlapped between the two diagnostic tests. Further testing on a large number of more diverse headache patients is needed to improve the specificity and sensitivity as well as the accuracy of the Headache Diagnostic Paradigm.
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