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Frequency of Different Types of Diagnostic Errors in Patients with Central Nervous System Infections: A Cross-Sectional Observational Study.

1. Introduction

Healthcare system is an industry prone to accidents. Although the introduction of complicated modern diagnostic and therapeutic measures has improved patient care, it has also increased the probability of accidents and other unfortunate events which may harm the patient [1]. There is no global accurate estimate of such errors; however it shows an increasing trend [2, 3]. A substantial number of patients worldwide continue to be harmed while receiving care [4]. In classifying most common causes of death, "medical error" is ranked among the top ten issues [3, 5]. Therefore, patient safety has attracted considerable international attention in the last decade [6-8].

According to the classification of medical errors, presented by the Institute of Medicine, there are four types of errors including diagnostic-, treatment-, preventive-related, and other [9]. Failure in diagnostic process is an important category of medical errors. Although it is difficult to roughly calculate the current rate of diagnostic errors, it has been estimated at 10-15% [10]. This type of error occurs in all specialized fields, especially those that involve high level of stress, work load, and lack of concentration. Diagnostic errors are also more likely to occur when the level of uncertainty is high, such as when the physician is unfamiliar with the disease, or when the presentation of an illness is atypical or nonspecific, or in the confusing situations [11-13].

Central nervous system (CNS) infection is a medical emergency that maybe associated with significant morbidity and mortality, often necessitating emergent diagnosis and treatment [14]. Missed or delayed diagnosis of CNS infections can lead to devastating consequences for patients, health professionals, and the healthcare system [15-17]. There are a number of case reports and series found in the literature regarding errors in diagnosis of CNS infections [18-22].

Although intracranial infections such as meningitis have been reported among the most frequently investigated conditions involved in diagnostic error or delay [23, 24], our literature review did not find any investigation focusing on the root cause analysis of diagnostic errors in patients with CNS infections. The objective of this study was to investigate different types of errors in the diagnosis of CNS infections from symptoms onset to diagnosis. We also discussed the factors contributing to these errors.

2. Materials and Methods

This study was a cross-sectional investigation conducted in Imam Reza Teaching Hospital affiliated to Mashhad University of Medical Sciences, Mashhad, Iran, from July 23, 2015, to August 22, 2017.

All hospitalized adult patients with final diagnosis of CNS infection were enrolled consecutively. In the setting of appropriate clinical syndromes, CSF analysis and appropriate microbiological and imaging studies were used for confirmation of the diagnosis of CNS infection. Exclusion criteria included patient unwillingness to participate in the study.

Patient's information, including demographic, clinical, and para-clinical data, history of medical visits, diagnostic and therapeutic managements, referrals to the healthcare systems, and other related data, was recorded. The information was collected by interviewing patients and/or their knowledgeable relatives as well as reviewing the accompanying medical record documents. In the next stage, all the retrieved data were assessed by two infectious diseases specialists to detect the diagnostic errors and determine their possible explanations. Then, the data were classified based on the "Diagnostic Error Evaluation and Research (DEER) Taxonomy Chart Tool" first introduced by Schiff et al. [12].

2.1. Definitions

2.1.1. Diagnostic Error. A diagnostic error was defined as a misdiagnosis or a delay in the diagnosis of CNS infections.

2.1.2. Incomplete History Taking. It was defined by not paying attention to patient's key complaints, risk factors, and previous contact histories, as well as epidemiologic clues.

2.1.3. Incomplete Physical Examination. It was defined by failure to discover the clinical signs related to patient's illness, especially not paying attention to several key elements of physical examination such as vital signs, testing the meningeal signs, or assessing the neurological deficits.

2.1.4. Improper Referral. It was defined as a failure to refer a patient for emergency department in a timely manner based on the patient's history, or as a referral to an inappropriate center.

2.1.5. Major Sequelae. It referred to an overt functional disability at the time of discharge from hospital that was detectable by clinical examination, not including subtle neurological deficits such as audiometric hearing impairment.

2.1.6. Polypharmacy. It was defined as prescription of multiple inappropriate medications, including antimicrobials, corticosteroids, or analgesics.

2.2. Statistical Methods. Data are presented as number (percentage) or mean [+ or -] standard deviation. Chi-squared, maximum likelihood ratio, or Fisher exact tests were used in a contingency table to investigate the hypotheses of this study. A P-value <0.05 was considered as the significance level.

2.3. Ethical Considerations. This research has been approved by the Committee on Ethics of Mashhad University of Medical Sciences with the IR.MUMS.fm.REC.1394.500.

3. Results

There were 169 patients with the mean age of 59.88 [+ or -] 16.38 years (15 to 90 years). Ninety-five subjects were male (56%) and 74 were female (44%). The frequency distribution of CNS involvement and other non-infectious meningoencephalitis/encephalitis syndromes in relation to different etiologies is illustrated in Figure 1. Although, our objective was to investigate diagnostic errors in CNS infections, three cases of autoimmune encephalitis and one case of neuro-carcinomatosis were not omitted, because these cases were also manifested as meningoencephalitis, and the diagnostic errors in the course of their illnesses were relevant to the survey objective.

Upon admission to the hospital, 14 (8%) patients developed major sequelae, and seven (4%) died. Of the seven patients who died, three had pyogenic meningitis, and three other subjects were diagnosed as having neuro-carcinomatosis, herpetic encephalitis, and tuberculous meningitis. For one patient, the etiologic diagnosis of CNS involvement remained unknown.

Table 1 shows the frequency distribution of clinical outcome in relation to several variables. It illustrates that the only variables that showed a significant relationship with poor clinical outcome were the longer delay in time to diagnosis from the onset of illness, inappropriate antimicrobial prescription, and lower level of consciousness, based on GCS score on admission.

It demonstrates that inappropriate prescription of antibiotics (with presumed diagnosis of sinusitis or an unspecified illness) and steroids (for symptomatic relief of headache) before making the correct diagnosis occurred in 73% and 54% of the patients, respectively. Table 1 also demonstrated that, of the 117 patients in whom no suspicion of CNS infection was stated in previous medical visits, nine (8%) developed major sequelae, and 5 (4%) died. In other words, for 71% of 126 patients with major sequelae and for 79% of 63 subjects who died, meningoencephalitis was not a clinical diagnosis prior to hospital admission.

The frequency distribution of different types of diagnostic errors from symptom onset to diagnosis is shown in Figure 2. The most prevalent types of error include failure in ordering tests (i.e., failure to request appropriate laboratory exams (such as lumbar puncture) and/or brain imaging well-timed) in 129 (76.33%) cases; failure in hypothesis generation (i.e., failure or delay in considering the diagnosis as a result of misperceiving, misreading, or misinterpreting the evidence), referral/consultation (i.e., failure or delay in referring the patient to an appropriate center/specialist and in requesting justified specialty consultation), physical examination (i.e., failure or delay in detecting critical physical examination findings such as meningeal sings), and history taking (i.e., failure or delay in detecting a critical element of history data); and failure in access/presentation (i.e., not having access to a primary care center or not presenting to a physician in a timely manner), respectively.

4. Discussion

Our study highlighted several important concerns: first, a high rate of diagnostic errors in patients with CNS infections [129 (76.33%) cases]; second, rooting out the failure in ordering appropriate tests/imaging, hypothesis generation, and history taking (76.3%, 75.1%, and 62.1% of patients, respectively) as the main types of error responsible for missed or delayed diagnosis along with failure in physical examination and referral/consultation; third, prescription of inappropriate polypharmacy including corticosteroids to more than half of patients before arrival to the hospital, where the correct diagnosis was made; finally, a significant association of patients' poor clinical outcome with lower level of consciousness on admission, inappropriate antimicrobial prescription, and the longer interval from symptom onset to diagnosis, especially in patients whose diagnosis was delayed by more than three weeks after the onset of illness.

CNS infection presents a unique challenge to physicians because of the potential morbidity and mortality that they cause and also the difficulties involved in their treatment [25]. Early diagnosis and prompt treatment are the mainstay of their successful management. As previously demonstrated in patients with bacterial meningitis, any delay in diagnosis and antimicrobial treatment after patient arrival in the emergency department was associated with adverse clinical outcomes, especially when the patient's condition advanced to a high stage of severity [8, 26]. Here, we try to discuss several potential contributing factors for presentation of a patient with CNS infection in advanced stages of severity after a considerable delay in diagnosis, based on our findings and available information in the literature.

As demonstrated by the present study, one of the main type of diagnostic error was failure to generate an appropriate hypothesis from the patient information. For example, while it has been suggested that any abnormal behavior should be considered as infectious encephalitis [27] until proven otherwise, about 30% of our patients with encephalitis were referred to a psychiatric hospital with the assumption that the illness originates from some psychological condition. Some of the possible contributing factors for the shortcomings in hypothesis generation in patients with CNS infection are as follows: (1) a high rate of failure in obtaining accurate history and performing physical examination as demonstrated in our patients; (2) premature closure of diagnosis which means stopping the diagnostic process, assuming the first diagnosis is correct, and failing to consider other possible differential diagnoses [28] as occurred in a significant proportion of our patients (for better clarification, Table 2 provides a few examples of diagnostic errors committed on the patients); (3) the presence of classic triad of fever, neck stiffness, and altered mental status in only less than half of meningitis patients [14] that could be one of the possible reasons for failure in hypothesis generation of meningitis despite complete physical examination [19]; (4) although in medical education programs, significant emphasis is placed on clinical clues suggestive of headaches secondary to subarachnoid hemorrhage and also brain tumors, headaches secondary to infectious etiologies are often overlooked [17]; (5) another potential underlying cause of delayed diagnosis in our patients might be high rate of inappropriate polypharmacy before making the definitive diagnosis because the effect of some medications such as corticosteroids and antibiotics could mask or change the typical symptoms and signs of CNS infection.

Additionally, while the diagnosis of meningitis rests on CSF examination by LP, sometimes physicians postpone the procedure by requesting a few futile diagnostic measures [15] that could be associated with poor outcome. For example, it has been shown that the time involved in waiting to undergo brain CT scan significantly delays the initiation of antimicrobial therapy, with the potential for increased morbidity and mortality in patients with bacterial meningitis [15]. Therefore, it should be avoided in the situations that there is no indication for neuroimaging before LP [29].

We also found that errors are frequently associated with misinterpretation of a para-clinical test result, sometimes with definite indication and sometimes without indication. For instance, more than 70% of the patients in our study were discharged from the medical centers despite complaining of excruciating or unexplained headache and other suggestive symptoms, because their brain CT scans were normal. Accordingly, justification in requesting diagnostic measures and interpretation of their results based on clinical findings and patient information could be a critical factor in preventing some important diagnostic (and also other types of medical) errors.

Our study had some strength as well as limitations. As a strength, the study was an analysis of different types of diagnostic errors in CNS infection. The analysis of incidents is a powerful approach of detection of medical errors in order to improve patients safety by adopting protocols or changes in the field where they are more accident-prone [30]. However, there were several limitations: firstly, the possibility of hindsight bias and overestimation of diagnostic errors; secondly, the possibility of underestimation of errors because some patients might have died before the verification of the diagnosis; thirdly, the chance of patients forgetting the course of illness and medical visits; finally, since this study was conducted in only one referral teaching hospital, it might not be generalizable to all patients with CNS infections.

5. Conclusions

The present investigation highlighted the high rate of diagnostic errors in patients with CNS infections and the influence of these errors on poor clinical outcome. Several factors were associated with incorrect diagnostic hypotheses, which included failure in taking a patient's comprehensive history as well as detecting relevant epidemiological clues, conducting a full clinical examination, and interpreting diagnostic evidence. Covering up symptoms while ignoring their underlying causes often delays a diagnostic process or obscures the typical presentation of the diseases. We found a significant relationship between poor clinical outcome and lower level of consciousness on admission, inappropriate antimicrobial therapy, and the longer interval from the onset of illness to diagnosis. Our study reemphasizes the importance of using the patient history and physical examination as a basis for selecting relevant diagnostic testing and interpretation of their results in the context of clinical findings and patient information, which can lead to a timely and accurate diagnosis.

https://doi.org/10.1155/2018/4210737

Data Availability

The data used to support the findings of this study are included within the article.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

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HamidReza Naderi, (1) Fereshte Sheybani, (1,2) Omid Khosravi, (3) Mehdi Jabbari Nooghabi (4)

(1) Department of Infectious Diseases and Tropical Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

(2) Imam Reza Clinical Research Unit, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

(3) Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

(4) Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

Correspondence should be addressed to Fereshte Sheybani; fereshtesheybani@gmail.com

Received 31 August 2018; Accepted 6 November 2018; Published 19 November 2018

Academic Editor: Paul S. Szalay

Caption: Figure 2: The frequency distribution of diagnostic errors in patients with CNS infection, from the first visit by a physician to hospitalization.
Table 1: The frequency distribution of clinical outcome in relation to
several variables.

Parameter                                  Complete      Sequelae
                                           recovery

                               < 1 week    78 (91.5%)    5 (6%)
Symptom onset to diagnosis     1-3 weeks   55 (100%)     0
                               > 3 weeks   15 (51.5%)    9 (31%)
No. of prior visits            Once More   60 (87%)      5 (7.5%)
                               than once   88 (88%)      9 (9%)
Incomplete history taking      Yes         93 (88.5%)    9 (8.5%)
                               No          55 (86%)      5 (8%)
Incomplete physical            Yes         92 (88.5%)    8 (7.5%)
examination                    No          56 (86%)      6 (9%)
Failure in referral            Yes         48 (86%)      4 (9%)
                               No          100 (90.5%)   10 (7.5%)
Receiving antibiotics before   Yes         112 (91%)     9 (7.5%)
diagnosis of CNS infection     No          36 (78%)      5 (11%)
Receiving corticosteroids      Yes         76 (84.5%)    9 (10%)
before diagnosis of CNS        No          72 (91%)      5 (6.5%)
  infection
Considering CNS infection      Yes         45 (86.5%)    5 (9.5%)
                               No          103 (88%)     9 (8%)
                               < 12        15 (52%)      9 (31%)
GCS level on admission         12-14       81 (92%)      5 (6%)
                               15          52 (100%)     0

Parameter                                  Dead        P value

                               < 1 week    2 (2.5%)
Symptom onset to diagnosis     1-3 weeks   0           < 0.001
                               > 3 weeks   5 (17.5%)
No. of prior visits            Once More   4 (5.5%)    0.634
                               than once   3 (3%)
Incomplete history taking      Yes         3 (3%)      0.571
                               No          4 (6%)
Incomplete physical            Yes         4 (4%)      0.908
examination                    No          3 (5%)
Failure in referral            Yes         1 (5%)      0.542
                               No          6 (2%)
Receiving antibiotics before   Yes         2 (1.5%)    0.030
diagnosis of CNS infection     No          5 (11%)
Receiving corticosteroids      Yes         5 (5.5%)    0.391
before diagnosis of CNS        No          2 (2.5%)
  infection
Considering CNS infection      Yes         2 (4%)      0.913
                               No          5 (4%)
                               < 12        5 (17%)
GCS level on admission         12-14       2 (2%)      < 0.001
                               15          0

CNS: Central nervous system; GCS: Glasgow Coma Scale.

Table 2: Examples of diagnostic errors based on cognitive
contributions to error.

Cases                               Type of error

An 18-year-old girl was scheduled
to sit her university entrance
examinations in a couple of weeks   Premature closure of diagnosis
while presented to the emergency
department with acute onset of
aggression and abnormal
behavioral. The emergency
physician diagnosed her as
suffering from a hallucination
disorder due to exam stress
and-ignoring the patient's high
fever-referred the patient to a
psychiatric hospital. It was ten
days until they noticed her
unusually high fever and referred
her to the infectious diseases
ward. The patient was diagnosed
with herpetic encephalitis, but
she was discharged from hospital
with severe sequelae.

A 28-year-old, drug-addicted
prisoner was taken to the prison    Premature closure of
medical clinic by his roommate      diagnosis
because of loss of consciousness.
The physician's first probable
diagnosis was narcotics abuse,
and the young man was sent to the
city hospital. The neurologist
confirmed this diagnosis-without
examining the patient-and
referred him to a tertiary
hospital, where he was
hospitalized in the ICU. A
post-mortem autopsy proved acute
bacterial meningitis.

A 22-year-old boy visited his
otolaryngologist with complaint     Misjudging the salience of
of nasal watery discharge. The      findings
symptom began 3 days after nasal
polyp removal. The doctor
prescribed antihistamines for
him. Two days later, he was
referred again with severe
headache and fever, but the
doctor only prescribed cefixime
and ibuprofen. The night after
this visit, he was brought to the
emergency department with
agitation and high-grade fever.
Lumbar puncture revealed
bacterial meningitis and the
patient died a few hours later.

A 63-year-old man with gastric
lymphoma presented to an
emergency unit with complaint of    Faulty perception
vomiting and severe headache.
Frequent vomiting caused him
heartburn and the clinical
impression assumed to be an
ischemic heart attack. But he was
discharged because of normal ECGs
and serum cardiac enzymes. The
day after, he was brought to our
emergency department with febrile
encephalopathy. On examination,
he had decreases level of
consciousness and meningeal
signs. Lumbar puncture revealed
bacterial meningitis. He became
intubated and after 21 days of
admission in intensive care unit,
he was discharged from hospital
with severe sequelae.

A 26-year-old girl was admitted
to a hospital with complaint of
fever and headache 3 weeks ago.     Misjudging the salience of
The day after her labs were         findings
drawn, she was referred to a
nephrology center because of
severe hyponatremia. The cranial
nerve palsies which were subtle
at admission progressed and level
of consciousness decreased during
the following week. After 10 days
a consultation with infectious
diseases specialist was requested
due to her continuous fever. On
examination, she had stiff neck
and positive Kernig's sign. Brain
CT scan showed hydrocephalus and
chest X-ray illustrated a military
pattern. She was transferred to
infectious diseases ward with the
diagnosis of tuberculous
meningitis/disseminated
tuberculosis, but she never
recovered completely.

Figure 1: The frequency distribution of CNS involvement and other
non-infectious meningoencephalitis/encephalitis syndromes in relation
to different etiologies.

Unknown Etiology                21%
Tuberculous Meningitis          1.1%
Recurrent Pyogenic Meningitis   3%
Intracranial Thrombophlebitis   14%
Neuro-carcinomatosis            0.6%
Pyogenic Meningitis             20%
Viral Meningitis                14%
Autoimmune Encephalitis         2%
Candida Meningitis              0.6%
Herpetic Encephalitis           15%
Brucella Meningitis             7%
Brain Abscess                   1.1%
Subdural Empyema                0.6%

Note: Table made from pie chart.
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Title Annotation:Research Article
Author:Naderi, HamidReza; Sheybani, Fereshte; Khosravi, Omid; Nooghabi, Mehdi Jabbari
Publication:Neurology Research International
Article Type:Report
Date:Jan 1, 2018
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