Characteristics of Stroke in Prehospital Settings in Saudi Arabia: A Descriptive Analysis

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Abstract

Background: Stroke is considered a time-sensitive emergency; thus, early recognition of this condition is a crucial function of emergency medical services (EMS) and medical practitioners. In this study, we aimed to assess the characteristics observed by EMS practitioners in stroke-suspected cases.

Methodology: This is a retrospective observational study, using the data available in the registry of the Saudi Red Crescent Authority (SRCA). We collected data from the beginning of January 2018 to the end of December 2020.

Results: We reviewed 753 patients who met the study’s inclusion criteria. Participants aged 61-70 years represented 29% of the study group, and 66% of the group were male. Patients living in Makkah constituted 32.9%, while most of the patients (71.7%) were Saudi nationals. Weakness was the most common complaint, reported in 45% of patients. The most associated disease was hypertension (54.4%), whereas hypoglycaemic patients represented 0.4% of the group.

Conclusion: Weakness was the most prevalent complaint among stroke-suspected patients, and hypertension was the most associated risk factor. Blood glucose measurement and neurological examination were both included in the EMS assessment of stroke-suspected patients. This might indicate the high quality of the EMS assessment for stroke and stroke-mimickers.

Keywords: Stroke, EMS, Prehospital, Saudi Arabia

Introduction

Stroke is a time-sensitive medical emergency, and delayed arrival to the emergency department is com- mon. According to Centers for Disease Control and Prevention (CDC), stroke is the third leading cause of death in Saudi Arabia [1] and the most common cause of neurological disability worldwide [2]. There are various kinds of stroke, although it is broadly categorised into two types: ischaemic (85%) and haemorrhagic (15%). Since stroke complications have a major impact on morbidity and mortality, early recognition of the condition is considered a crucial aspect of its management. Nonetheless, recognition is challenging, since many other con- ditions may resemble the clinical manifestations of stroke. These include transient ischaemic attack (TIA), hypoglycaemia, seizure, and electrolyte imbalance [3], which also present as an acute onset of neurological deficit. Treatment of ischaemic stroke is time-sensitive after the manifestation of neurological symptoms; it is mainly treated with a thrombolytic agent, tissue plasminogen activator (tPA). Unfortunately, only one out of four patients present in time to receive tPA, likely due to the inability to recognise stroke symptoms and the seriousness of these symptoms [4]. As reported, an average of 1.8 days of healthy life is lost for every minute of delay.

Of the data regarding EMS protocols and stroke measures, only one study was conducted in Saudi Arabia, focusing on adults with stroke symptoms and comparing the outcomes of stroke patients transported by EMS with those who were trans- ported in other ways. They concluded that “EMS

transportation of stroke patients can shorten the time to stroke team activation that will lead to shorter triage and faster patient management” [5].

As stroke is a time-sensitive condition, early ac- tion and stroke team activation are essential for a better outcome [5]. Prehospital stroke recognition plays a major role in faster stroke code activation, which can help improve patients’ recovery and out- comes [6]. Prenotification of EMS personnel, along with instructions to dispatchers, can impact the rate of mortality and morbidity in stroke-suspected patients by reducing the prehospital time interval, hence the implementation of stroke guidelines in- cluding the Face Arm Speech Time (FAST) scale, Cincinnati Prehospital Stroke Scale (CPSS), and the Los Angeles Prehospital Stroke Screen (LAPSS).

Due to a lack of data, no studies have been conducted in Saudi Arabia to assess prehospital recognition of stroke and its mimickers by EMS providers. In the present study, we aimed to assess the characteristics of stroke observed by EMS providers in stroke-suspected cases.

Methodology

This is a retrospective observational study using the data available at the registry of the Saudi Red Crescent Authority (SRCA). We collected data from the beginning of January 2018 until the end of December 2020. The study was approved by the Institutional Review Board at King Abdullah Inter- national Medical Research Center, Riyadh, Saudi Arabia (IRB number H-01-R-005). Our inclusion criteria were all patients under the age of 80 with clinical pictures suggestive of a stroke.

The data sheet from which we collected our data included all patients who had called the SRCA complaining of neurological disabilities, such as, but not limited to: weakness, slurred speech, facial deviation, and decreased level of consciousness.

We measured the quality of EMS assessment with regard to the differentiation between stroke and stroke mimickers, the number of suspected stroke patients transported, proficiency in measuring vital signs and glucose level, and carrying out EMS inter- ventions accordingly. Furthermore, we assessed the neurological examination conducted by the EMS, including but not limited to weakness, loss of con- sciousness, paraesthesia, and pupil reactivity.

Descriptive statistics were summarised as num- bers, percentages, and mean and standard deviation. The data were coded using Microsoft Office Excel 2010, and analysed using Statistical Packages for Social Sciences (SPSS) version 26 (Armonk, NY: IBM Corp, USA).

Results

All 13 provinces of Saudi Arabia were included in the study: of a total of 1200 patients, only 753 met our inclusion criteria. As described in Table 1, 29% were aged between 61 to 70 years, with males the dominant gender (66%). Patients from Makkah constituted 32.9%, while most of the patients were Saudi nationals (71.7%).

As seen in Table 2, most patients responded to the eye response examination, with only 4 cases and 5 cases showing fixed right and left eyes, respectively. Patients who received their first IV catheter constituted 58.3%, while only 3% received a second.

2.3% normal saline, 10.5% received received lactated Ringer’s solution, 2.7% received 5% dextrose, and 0.40% received 50% dextrose. Only 4.1% of patients underwent ECG, and only one received CPR (0.10%). The prevalence of patients who had had contact with people who were sick with infectious diseases was 2.8%.

Regarding the patients’ management, the propor- tion of patients who received oxygen via masks, through nasal cannulas, and via non-rebreather masks were 25.9%, 6.2%, and 20.8%, respectively. Patients who were treated by opening their airway, the use of oral airway, nasal airway, and/or suction were 2.9%, 1.2%, 0%, and 1.1%, respectively. 13.3% of the subjects were unstable and an ambulance siren was used for 90.3% during transport. The prevalence of patients with drug allergies was 2.3%.

The mean glucose level was 176, while mean GCS was 13.6 and mean respiratory rate was 16.5/min. Temperatures were obtained twice for each patient, with means of 36.9 and 36.8 C, respectively. Mean oxygen saturation was 95.4%. Pulse rates were taken twice, with means of 88.7 and 90 bpm, respectively. The mean systolic blood pressure was 141.8, and mean diastolic blood pressure was 88.8 mmHg.

Discussion

Our study was conducted to assess the characteris- tics of stroke observed by EMS personnel in stroke- suspected patients, given that stroke was the second- largest cause of death in Saudi Arabia in 2015, according to the World Health Organization (WHO) [7]. Furthermore, given the aging population in Saudi Arabia and worldwide, the rate of stroke is expected to rise. Thus, a comprehensive under- standing by prehospital personnel of the common presentation of stroke in the field is a matter of significant importance. To our knowledge, this is the first study highlighting patient characteristics and the approach of prehospital healthcare workers to stroke recognition in the field.

A male predominance (66%) was evident in our study, similar to another study by Alhazzani et al in 2018, which showed a male predominance of 65%; this can be due to a higher incidence of vascular risk factors in males [8]. Age is the most important risk factor, with the 61-70 age group being most affected, as endorsed by Alsenany et al, 2020 [9].

Hypertension (54%) was the most common mod- ifiable risk factor (this is supported by other studies conducted in the region [10] and worldwide), fol- lowed by diabetes. The combination of both risk factors significantly increases the risk of stroke symptoms. A previous history of stroke was found in 26.8% of our population; this can aid paramedics to raise their suspicion of stroke as a primary diag- nosis when encountering patients with a previous history of stroke.

Makkah is the region that most commonly uses the stroke code during patient transport and evaluation, followed by Riyadh; this is not in line with the demographic population data. Fatigue and weakness were the most common symptoms used to identify

a decreased stroke, followed by level of consciousness. The awareness of prehospital healthcare providers is of utmost significance, since the complaints are not unified and each patient presents with their own individual complaints [11, 12]. Sometimes, the complaint is not found in any previous literature or guidelines, considering that we are an Arabic-speaking country and most of the teaching and scoring systems are in English.

During transport, 86% of patients were stable and had at least one peripheral line to provide medications and fluids as needed. However, oxygen was only supplied when patients were hypoxic, as suggested by the guidelines and research [6]. Only 2.7% of patients received dextrose 5%, and 0.40%

Table 1. Baseline characteristics of patients
VariablesN (%)
Age group
≤50 years154 (20.5%)
51 – 60 years183 (24.3%)
61 – 70 years218 (29.0%)
71 – 80 years198 (26.3%)
Gender
Male497 (66.0%)
Female256 (34.0%)
Region
Asir25 (03.3%)
Arar7 (0.90%)
Dammam104 (13.8%)
Hail6 (0.80%)
Jizan35 (04.6%)
Jouf8 (01.1%)
Madinah123 (16.3%)
Makkah248 (32.9%)
Qassim19 (02.5%)
Riyadh164 (21.8%)
Tabuk14 (01.9%)
Nationality
Saudi540 (71.7%)
Non-Saudi213 (28.3%)
Distributionof patients' complaints
Tingling sensation 0.50%
High Blood Pressure 0.70%
Breathing Difficulty 1.60%
Not specified 2.90%
Heart -related5.30%
Speech Difficulty8.20%
Reported as "Others"8.40%
Dizziness8.50%
Body Pain9.30%
Level of Consciousness9.40%
Weakness / Fatigue45.20%
0%10% 20% 30% 40% 50%
Figure 1.Distribution of symptoms
28% 26.8% 23%
19.1% 16.3%
12.4%
7% 3.2%
Diabetes Stroke DM)Others patient None Thrombosis disease
diagnosed asCardiac lung
and
(notKidney
Hyperglycemia
Table 2. Examination and intervention
VariablesN (%)
Right eye response
Respond715 (95%)
Slow22 (2.9%)
Fixed4 (0.50%)
Unknown12 (1.6%)
Left eye response
Respond709 (94.2%)
Slow28 (3.7%)
Fixed5 (0.70%)
Unknown11 (1.5%)
IV catheter 1
Yes439 (58.3%)
No314 (41.7%)
IV catheter 2
Yes3 (0.40%)
No750 (99.6%)
Normal saline
Yes79 (10.5%)
No674 (89.5%)
Lactated Ringer’s solution
Yes17 (2.3%)
No736 (97.7%)
5% dextrose
Yes20 (2.7%)
No733 (97.3%)
50% dextrose
Yes3 (0.40%)
No750 (99.6%)
Electrocardiogram
Yes31 (4.1%)
No722 (95.9%)
CPR
Yes1 (0.10%)
No752 (99.9%)
Contact with sick patients
Yes21 (2.8%)
No732 (97.2%)
Table 3. On-scene management.
VariablesN (%)
Oxygen mask
Yes195 (25.9%)
No558 (74.1%)
Nasal cannula
Yes47 (6.2%)
No706 (93.8%)
Non-rebreather mask (NRB)
Yes157 (20.8%)
No596 (79.2%)
Ambulance siren
Yes680 (90.3%)
No73 (9.7%)
Allergy to drugs
Yes17 (2.3%)
No736 (97.7%)
Table 4. Laboratory characteristics of patients
ParametersMean ± SD
Blood glucose level176.1 ± 112.3
Glasgow Coma Scale13.6 ± 2.76
Respiratory rate16.5 ± 5.51
Temperature (first reading)36.9 ± 0.40
Temperature (second reading)36.8 ± 2.10
Oxygen saturation95.4 ± 11.9
Pulse (first reading)88.7 ± 20.7
Pulse (second reading)90.0 ± 17.8
Systolic blood pressure (SBP)141.8 ± 31.9
Diastolic blood pressure (DBP)88.8 ± 22.6
V. CONCLUSION
received dextrose 50%; this indicates that the
EMS providers measured glucose levels andWeakness was the most prevalent complaint among
administered dextrose accordingly.stroke-suspected patients, and hypertension was the
most associated risk factor. Blood glucose
Hospital designation is determined by the stabilitymeasurement and neurological examination were
of the patient, the nearest stroke centre, andboth included in the EMS assessment for stroke-
expected traffic. This was not included in our datasuspected patients. This might indicate the high
because no universal designation is available, andquality of the EMS assessment for stoke and stroke-
some patients are not eligible for admission tomimickers. However, there is a lack of proper docu-
certain hospitals. The choice of hospital depends onmentation when it comes to onset of symptoms and
the dispatcher, and upon the hospital’s approval.tPA candidacy, which has a crucial effect on the
decision of dispatchers and receiving hospitals.
f ,, p
[7] World Health Organization: Regional Office
for the Eastern Mediterranean. Saudi Arabia health
VI. LIMITATIONSprofile 2015. World Health Organization: Regional
Office for the Eastern Mediterranean. ht
A lack of standardised language and educationtps://apps.who.int/iris/handle/10665/253771
for some prehospital healthcare workers, as well[8] Alhazzani AA, Mahfouz AA, Abolyazid AY,
as standardised codes for stroke and medical con-Awadalla NJ, Aftab R, Faraheen A, Khalil SN.
ditions, made data collection and its subsequentStudy of Stroke Incidence in the Aseer Region,
analysis prone to flaws and translation errors. TheSouthwestern Saudi Arabia. Int J Environ Res Public
lack of unification of codes and documentationHealth. 2018 Jan 26;15(2):215. doi:
processes and the language barriers were the most10.3390/ijerph15020215.
significant limitation with regard to data collection.[9] Al-Senani F, Al-Johani M, Salawati M,
VII. REFERENCESAlhazzani A, Morgenstern LB, Seguel Ravest V,
Cuche M, Eggington S. An Epidemiological
[1] Centers for Disease Control and Prevention.Model for First Stroke in Saudi Arabia. J Stroke
CDC Global Health - Saudi Arabia [Internet]. Cen-Cerebrovasc Dis. 2020 Jan;29(1):104465. doi:
ters for Disease Control and Prevention. Centers for10.1016/j.jstrokecerebrovasdis.2019.104465.
Disease Control and Prevention; 2019 [cited 2022[10] Robert AA, Zamzami MM. Stroke in Saudi
Dec 2]. Available from: https://www.cdc.gov/globaArabia: a review of the recent literature. Pan
lhealth/countries/saudi_arabia/default.htmAfr Med J. 2014 Jan 15;17:14. doi:
[2] Wade DT. Epidemiology of disabling neuro-10.11604/pamj.2014.17.14.3015.
logical disease: how and why does disability occur?[11] Porteous GH, Corry MD, Smith WS.
J Neurol Neurosurg Psychiatry. 1997 Nov;63 SupplEmergency medical services dispatcher identifica-
1(Suppl 1):S11-8. doi: 10.1136/jnnp.63.2008.11s.tion of stroke and transient ischemic attack. Pre- hosp
[3] Hosseininezhad M, Sohrabnejad R. StrokeEmerg Care. 1999 Jul-Sep;3(3):211-6. doi:
mimics in patients with clinical signs of stroke.10.1080/10903129908958939.
Caspian J Intern Med. 2017 Summer;8(3):213-216.[12] Olola C, Scott G, Gardett I, Clawson JJ,
doi: 10.22088/cjim.8.3.213.Broadbent M. Comparison of emergency medical
[4] Messé SR, Khatri P, Reeves MJ, Smith EE,dispatcher scene stroke stroke assessment. identification Annals and of Emergency paramedic Dis- on-
Saver JL, Bhatt DL, Grau-Sepulveda MV, Cox M,patch & Response. 2017;5(1):6-10.
Peterson ED, Fonarow GC, Schwamm LH. Why are
acute ischemic stroke patients not receiving IV tPA?
Results from a national registry. Neurology. 2016
Oct 11;87(15):1565-1574. doi:
10.1212/WNL.0000000000003198. Epub 2016 Sep
14. PMID: 27629092; PMCID: PMC5067546.
[5] Alabdali A, Yousif S, Alsaleem A,
Aldhubayb M, Aljerian N. Can Emergency Medical
Services (EMS) Shorten the Time to Stroke Team
Activation, Computed Tomography (CT), and the
Time to Receiving Antithrombotic Therapy? A
Prospective Cohort Study. Prehosp Disaster Med.
2020 Apr;35(2):148-151. doi:
10.1017/S1049023X20000126.
[6] Kessler C, Khaw AV, Nabavi DG, Glahn
J G d M B O St d di d h it l
, showing the patients’ medical history, illustrates that the most associated disease was hy- pertension (54.4%), followed by diabetes (28%) and stroke (26.8%).
Figure 2. , showing the patients’ medical history, illustrates that the most associated disease was hy- pertension (54.4%), followed by diabetes (28%) and stroke (26.8%).
Figure 1. Distribution of symptoms
Figure 2. Patients’ medical history

References

  1. Centers for Disease Control and Prevention. CDC Global Health - Saudi Arabia [Internet]. Centers for Disease Control and Prevention. Centers for Disease Control and Prevention; 2019 [cited 2022 Dec 2]. Available from: https://www.cdc.gov/globa lhealth/countries/saudi_arabia/default.htm
  2. Wade DT. Epidemiology of disabling neurological disease: how and why does disability occur? J Neurol Neurosurg Psychiatry. 1997 Nov;63 Suppl 1(Suppl 1):S11-8. doi: 10.1136/jnnp.63.2008.11s.
  3. Hosseininezhad M, Sohrabnejad R. Stroke mimics in patients with clinical signs of stroke. Caspian J Intern Med. 2017 Summer;8(3):213-216. doi: 10.22088/cjim.8.3.213.
  4. Messé SR, Khatri P, Reeves MJ, Smith EE, Saver JL, Bhatt DL, Grau-Sepulveda MV, Cox M, Peterson ED, Fonarow GC, Schwamm LH. Why are acute ischemic stroke patients not receiving IV tPA? Results from a national registry. Neurology. 2016 Oct 11;87(15):1565-1574. doi: 10.1212/WNL.0000000000003198. Epub 2016 Sep PMID: 27629092; PMCID: PMC5067546.
  5. Alabdali A, Yousif S, Alsaleem A, Aldhubayb M, Aljerian N. Can Emergency Medical Services (EMS) Shorten the Time to Stroke Team Activation, Computed Tomography (CT), and the Time to Receiving Antithrombotic Therapy? A Prospective Cohort Study. Prehosp Disaster Med. 2020 Apr;35(2):148-151. doi: 10.1017/S1049023X20000126.
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  7. World Health Organization: Regional Office for the Eastern Mediterranean. Saudi Arabia health profile 2015. World Health Organization: Regional Office for the Eastern Mediterranean. ht tps://apps.who.int/iris/handle/10665/253771
  8. Alhazzani AA, Mahfouz AA, Abolyazid AY, Awadalla NJ, Aftab R, Faraheen A, Khalil SN. Study of Stroke Incidence in the Aseer Region, Southwestern Saudi Arabia. Int J Environ Res Public Health. 2018 Jan 26;15(2):215. doi: 10.3390/ijerph15020215.
  9. Al-Senani F, Al-Johani M, Salawati M, Alhazzani A, Morgenstern LB, Seguel Ravest V, Cuche M, Eggington S. An Epidemiological Model for First Stroke in Saudi Arabia. J Stroke Cerebrovasc Dis. 2020 Jan;29(1):104465. doi: 10.1016/j.jstrokecerebrovasdis.2019.104465.
  10. Robert AA, Zamzami MM. Stroke in Saudi Arabia: a review of the recent literature. Pan doi: 15;17:
  11. Afr Med J. 2014 Jan 10.11604/pamj.2014.17.14.3015.
  12. Porteous GH, Corry MD, Smith WS. Emergency medical services dispatcher identification of stroke and transient ischemic attack. Prehosp Emerg Care. 1999 Jul-Sep;3(3):211-6. doi: 10.1080/10903129908958939.
  13. Olola C, Scott G, Gardett I, Clawson JJ, Broadbent M. Comparison of emergency medical dispatcher stroke identification and paramedic onscene stroke assessment. Annals of Emergency Dispatch & Response. 2017;5(1):6-10.