search
for
 About Bioline  All Journals  Testimonials  Membership  News


Annals of African Medicine
Annals of African Medicine Society
ISSN: 1596-3519
Vol. 3, Num. 4, 2004, pp. 167-169

Annals of African Medicine, Vol. 3, No. 4, 2004, pp. 167-169

CLINICAL DIAGNOSIS OF STROKE: NEED FOR AUDIT

I. Imam and G. Olorunfemi

Department of Medicine, Gwagwalada Specialist Hospital, Abuja, Nigeria
Reprint requests to: Dr. I. Imam, Neurology Department, Hull Royal Infirmary, Anlaby Road, Hull HU3 2JZ, United Kingdom. E-mail: ibrahimimam2000@yahoo.com

Code Number: am04043

Abstract

Background: Stroke is a common disease and in developing countries its diagnosis relies heavily on clinical features because of the dearth of radiological facilities. To ensure that the diagnosis of stroke is as accurate as possible, it is imperative that clinical skills are kept at the optimum. One such method of doing this is by clinical audit. This study looked at the clinical diagnosis of stroke in a retrospective review of case notes.
Methods: The case records of patients admitted with a diagnosis of stroke into a specialist’s hospital in Nigeria were reviewed. Details of historical and clinical features used in making the diagnosis and classification of stroke were recorded and compared to the standard definition and diagnostic criteria of stroke.
Results:  Seventy-six of 86 case records reviewed fulfilled the criteria for a diagnosis of stroke. The features in six of the excluded cases suggested alternative diagnoses while in four cases clinical findings were conflicting. Of the 76 cases included, the recorded details were insufficient to allow for classification of stroke type in 13 cases (17.1%). Arterial territory involvement was not identified in 46 cases (61.3%) while the side of the stroke was not documented in 4 cases (5.3%). Previous diabetic status was not documented in 41 cases (53.9%), history of pre-morbid blood pressure status was not recorded in 5 cases (6.6%) and many other stroke risk factors were not established in most patients.
Conclusion: The rate possible stroke misdiagnosis in this audit project is about 7.5%. The study suggested that this could be improved upon by paying proper attention to clinical methods. Accurate diagnosis of stroke however requires radiological methods and there is a need to make these readily available even in developing countries. Secondary prevention of stroke requires the identification of all risk factors and this relies mainly on clinical methods and this audit has emphasised the need to improve on this.

Key words: Stroke, diagnosis, audit

Introduction

Stroke is a common and devastating disease that has a poorer prognosis in blacks. 1-3 Accurate diagnosis of stroke site, size and type requires radiological tests because errors occur with clinical methods. 4, 5 In most parts of Africa however, radiological tests like computerised tomography (CT) scans are unavailable or expensive with the implication that a vast majority of stroke diagnoses in Africa rely solely on clinical methods. Because of this, there is a need to subject these methods to periodic audit in order to improve the outcome in management of stroke cases. We present one such audit in a tertiary hospital setting where CT scan facilities are not available and we also give an overview of steps to an accurate stroke diagnosis.

Method

The case records of all patients admitted into the medical wards of a 300-bed specialist’s hospital in Gwagwalada, within Nigeria’s Federal Capital Territory. The cases were admitted over a five-year period covering 1996 to 2000. The criteria accepted for diagnosis of stroke were sudden onset of a focal or global neurological deficit lasting more than 24 hours or leading to death for which there are no other obvious causes. We recorded details of history and clinical examination used to diagnose and classify stroke.

Results

Eighty-six case records were reviewed. Six did not fulfil the criteria for diagnosis of stroke and the history and findings strongly suggested alternative diagnoses which were subdural haematoma, epilepsy, post traumatic seizures, brain abscess and two cases of quadriparesis of uncertain cause. Four cases were excluded on the basis of conflicting findings on documentation. Seventy-six case records were accepted as fulfilling the criteria for diagnosis of stroke.

There were 47 males (61.8%) and 29 females (38.2%). The mean age was 52.9 years with a range of 20-80. Sixty-two cases (81.6%) could be classified as thrombotic, haemorrhagic or embolic but data was insufficient to classify 13 cases (17.1%). The side of the stroke was classified in 72 cases (94.7%) but in 4 cases (5.3%) the side of stroke was not recorded. These were cases in which the subjects were deeply unconscious however. Arterial territory involvement was not identified in 46 cases (61.3%). A history of pre-existing hypertension was not recorded in 5 cases (6.6%). Previous diabetic status was also not established in 41 cases (53.9%). Alcohol history was not documented in 50 subjects (65.7%). Smoking history was not documented in 51 subjects (67.1%) (Table 1). HIV and body mass status were referred to in only two subjects each. 

Discussion

The rate of obvious stroke misdiagnoses in this study is 7.5%. This would be higher if CT scans were done in the subjects as clinical criteria in Nigerians have been shown to misdiagnose 13 to 43% of patients. 6, 7 This emphasises the fact that even without CT scans, stroke misdiagnoses could be avoided if clinical signs are interpreted correctly. The necessity of this is underscored by the fact that most misdiagnosed stroke cases are remediable such as subdural haematomas and brain abscesses. 2, 6-8 This is demonstrated by the 6 cases that were misdiagnosed in this study.

Data in the cases studied was insufficient to properly classify stroke in 18.4% and approaches previous reports of 21% stroke misclassification. 4, 5 This figure would however be higher if CT scans were done. The therapy of stroke depends on stroke type and the need to classify stroke types cannot be underestimated. 9 Various clinical scales have been evolved to improve the diagnosis and classification of stroke. 10, 11 The Siriraj and Guy’s Hospitals scores for example have been validated for clinical diagnosis and even for commencing thrombolytic therapy. 12, 13 Though this is contentious, it has been established that failure to seek and interpret clinical symptoms and signs are responsible for the most stroke misdiagnoses. 6 It has also been recognised however that CT scans are invaluable in the early identification of surgically remediable conditions often misdiagnosed as stroke. 7

The main features used for stroke classification are the typical temporal profile, stroke settings and symptoms. Haemorrhagic intracerebral bleeds usually occur on activity, may progress over minutes, and are more likely to be associated with decreased level of consciousness, vomiting, headache and severe hypertension. Subarachnoid haemorrhages are particularly associated with the most severe headaches, worse impairment of consciousness, nuchal rigidity, subhyaloid haemorrhages and a bloody cerebrospinal fluid tap. Thrombotic strokes usually occur after a period of inactivity and may follow a slowly progressive course. The findings of artheroma markers like carotid bruits and locomotor brachialis are highly suggestive of thrombotic strokes. Embolic strokes are the most sudden, may occur on activity, have maximum disability at onset and progressively improve thereafter. Finding cardiac arrhythmias are suggestive of embolic strokes.

 This study has shown that in most cases, emphasis is not placed on identification of the arterial territory involved in stroke; it was not recorded in 57.6% of the cases assessed. It is however of diagnostic significance in subjects with recurrent strokes. Involvement of the same territory would suggest a thrombotic stroke while involvement of different territories may suggest cardio-embolic embolic strokes. It is also of prognostic significance as posterior circulation strokes have a worse outcome.

 History of pre-existing hypertension was the only stroke risk factor that was consistently recorded in the case records assessed in this study. This is justified by the fact that hypertension is the most important stroke risk factor and the most amenable to control. 2, 14-16 There is however the need to assess all other risk factors so as to make secondary prevention possible. The most common risk factors apart from hypertension are diabetes mellitus, atrial fibrillation, transient ischaemic attacks, prior stroke, alcoholism and smoking. 17 The significance of HIV infection as a risk factor for stroke in Africans is unclear as studies give conflicting findings. 18,19 With the increasing incidence of HIV infections however, there may be a need to record HIV status in all stroke subjects because it may present with amenable stroke-like conditions like tuberculomas, brain abscesses and central nervous system toxoplasmosis.

 This audit has emphasised the need to utilise all clinical tools to diagnose and classify stroke as well as to address all risk factors. There is however the need to make CT scans widely available and affordable, as this is the most reliable means of diagnosis and classification of stroke8. With the right orientation, many African governments can make CT scans more available to aid stroke diagnosis and management. Early CT scans can detect haemorrhages which appear as enhancing lesions. Thrombolytic and antithrombotic therapy may be commenced

in the absence of CT evidence of haemorrhage but this may convert ischaemic lesions to haemorrhagic ones. CT scans also have a role in establishing stroke data banks which improve the knowledge of stroke. 17 The role of stroke units in improving stroke outcome is also greatly improved if CT scan facilities are available. 

The use of clinical methods can reduce the rate of stroke misdiagnosis in settings where radiological facilities are not available. They are also invaluable in identifying stroke risk factors thereby improving secondary stroke prevention. There is a need however to make CT scans more widely available to optimise the overall management of stroke.

References

  1. Jones MR, Horner RD, Edwards LJ et al. Racial variation in initial stroke severity. Stroke 2000; 31: 563.
  2. Matenga J, Kitai I, Levy L. Strokes among black people in Harare, Zimbabwe: results of computed tomography and associated risk factors.Br Med J (Clin Res Ed) 1986; 292: 1649-1651.
  3. Gillum RF. Stroke in blacks. Stroke 1988; 19:1-9.
  4. Allder SJ, Moody AR, Martel AL et al. Limitations of clinical diagnosis in acute stroke. Lancet 1999; 354: 1523.                     
  5. von Arbin M, Britton M, de Faire U, Helmers C, Miah K, Murray V. Accuracy of  bedside diagnosis in stroke.Stroke 1981; 12: 288- 293.                                                                                        
  6. Aiyesimoju AB, Osuntokun BO, Adeuja AO, Olumide A, Ogunseyinde AO.  Misdiagnosis of stroke.Afr J Med med Sci 1983; 12: 107-112.
  7. Ogun SA, Oluwole O, Ogunseyinde AO, Fatade B, Odusote KA. Misdiagnosis of Stroke-a computerised tomography scan study.West Afr J Med 2000; 19:19-22.                                                            
  8. Nyame PK, Jumah KB, Adjei S. Computerised tomographic scan of the head in evaluation of stroke in Ghanaians.East Afr Med J 1998; 75: 637- 639.  
  9. Weir CJ, Murray GD, Adams FG, Muir KW, Grosset DG, Lees KR. Poor accuracy of stroke scoring systems for differential clinical diagnosis of intracranial haemorrhage and infarction.Lancet 1994; 344: 999-1002.
  10. Poungvarin N, Viriyavejakul A, Komontri C. Siriraj stroke score and validation study to distinguish supratentorial intracerebral haemorrhage from infarction.Br Med J 1991; 302: 1565-1567.
  11. Allen CM. Clinical diagnosis of the acute stroke syndrome.Quart J Med 1983; 52: 515- 523.
  12. Celani MG, Righetti E, Migliacci R et al. Comparability and validity of two clinical scores in the early differential diagnosis of acute stroke. Br Med J 1994; 308: 1674-1676.
  13. Celani MG, Ceravolo MG, Duca E et al. Was it infarction or haemorrhage? A clinical diagnosis by means of the Allen score.J Neurol 1992; 239: 411- 413.     
  14. Bwala SA. Stroke in a sub-Saharan Nigerian hospital-a retrospective study. Trop Doct 1989; 19:11-14.    
  15. Abebe M, Haimanot RT. Cerebrovascular accidents in Ethiopia.Ethiop Med J 1990; 28: 53-61.
  16. Walker RW, McLarty DG, Kitange HM et al. Stroke mortality in urban and rural Tanzania. Adult Morbidity and Mortality Project.Lancet 2000; 355: 1684-1687.
  17. Joubert J. The MEDUNSA Stroke data bank. An analysis of 304 patients seen between 1986 and 1987. S Afr Med J 1991; 80: 567-570.       
  18. Hoffmann M, Berger JR, Nath A, Rayens M. Cerebrovascular disease in young, HIV-infected, black Africans in the KwaZulu Natal province of South Africa.J Neurovirol 2000; 6: 229-236.
  19. Hoffmann M. Stroke in the young in South Africa-an analysis of 320 patients. S Afr Med J 2000; 90: 1226-1237.
Copyright 2004 - Annals of African Medicine

The following images related to this document are available:

Photo images

[am04043t1.jpg]
Home Faq Resources Email Bioline
© Bioline International, 1989 - 2024, Site last up-dated on 01-Sep-2022.
Site created and maintained by the Reference Center on Environmental Information, CRIA, Brazil
System hosted by the Google Cloud Platform, GCP, Brazil