
37
J Gandhara Med Dent Sci
April - June 2026
modifiable risk factor for stroke. Large population-
based studies have consistently reported that
hypertension signicantly increases the risk of both
ischaemic and haemorrhagic strokes. One such study
reported that untreated hypertension increases the odds
of intracerebral haemorrhage by nearly threefold (OR =
3.5), while even treated hypertension still increases the
likelihood of haemorrhage by 1.4 times.¹¹ Similarly,
hypertension has been reported to be associated with
spontaneous intracerebral haemorrhage in
approximately 80% of cases, and it is linked with
poorer clinical outcomes.
12,13
Furthermore, global
epidemiological data indicate that uncontrolled
hypertension remains the most signicant modiable
risk factor responsible for nearly half of all stroke cases
worldwide.
14,15,16
Although hypertension is strongly
associated with haemorrhagic stroke in the literature,
our study observed a higher prevalence of hypertension
among patients with ischaemic stroke. This discrepancy
may reect regional dierences in blood pressure
control and healthcare access. In many low- and
middle-income settings, including Pakistan, long-
standing uncontrolled hypertension may contribute to
progressive vascular damage, atherosclerosis, and
ultimately ischaemic cerebrovascular events. Therefore,
the higher proportion of hypertensive patients among
ischaemic stroke cases in our study may reflect the
burden of chronic uncontrolled hypertension in the
local population. Our ndings are consistent with
previous hospital-based studies conducted in similar
settings. Abdu et al. reported that hypertension was
present in 39.8% of patients with ischaemic stroke and
23.4% of those with haemorrhagic stroke.¹³ This pattern
supports the observation that hypertension is frequently
encountered in patients with ischaemic stroke in clinical
practice. Similarly, a study conducted in Pakistan
reported that ischaemic stroke was more prevalent than
haemorrhagic stroke among hypertensive patients.¹⁴
These ndings collectively suggest that the interaction
between hypertension and stroke subtype may vary
across populations depending on demographic
characteristics, healthcare access, and blood pressure
management strategies. Age was another signicant
predictor identied in our analysis. Patients aged ≥60
years had higher odds of experiencing ischaemic stroke,
with the association remaining signicant after
adjustment (AOR = 0.24, 95% CI: 0.12-0.49, p <
0.001). This observation aligns with the well-
established relationship between advancing age and
increased risk of cerebrovascular disease. Aging is
associated with progressive vascular changes, including
arterial stiffness, endothelial dysfunction, and
accumulation of atherosclerotic plaques, all of which
predispose individuals to ischaemic stroke. A large
cohort study reported that Akhtar et al. similarly
reported that individuals aged >60 years had
signicantly higher odds of developing ischaemic
stroke (adjusted OR = 1.68; 95% CI: 1.05–2.68).¹⁵
Additionally, international epidemiological studies have
shown that the incidence of stroke increases
exponentially after the age of 55 years, doubling with
each subsequent decade of life.¹⁷ Medication adherence
also demonstrated a statistically signicant association
with stroke type in the multivariable model (AOR =
0.49, 95% CI: 0.24-0.99, p = 0.046). Poor adherence to
antihypertensive therapy is a well-recognized
contributor to uncontrolled blood pressure, which may
accelerate vascular damage and increase the risk of
cerebrovascular events. Previous studies have similarly
demonstrated that poor adherence to antihypertensive
medications signicantly increases the risk of stroke
recurrence and adverse cardiovascular outcomes.¹⁸ This
finding emphasizes the importance of improving
medication adherence as part of comprehensive stroke
prevention strategies. In contrast, BMI category,
gender, and ICU/HDU admission were not significantly
associated with stroke type after adjustment for other
variables. The lack of association with ICU admission
suggests that the severity of stroke requiring intensive
care may depend on several other clinical factors, such
as infarct size, hemorrhage volume, neurological
deficits, and comorbid conditions, rather than stroke
subtype alone. Another important strength of the
present study is the robust statistical modeling
approach. Both calibration and discrimination of the
prediction model were assessed. The Hosmer–
Lemeshow goodness-of-t test indicated good model
calibration (χ² = 5.11, p = 0.746), demonstrating
agreement between observed and predicted outcomes.
Additionally, the area under the ROC curve (AUC =
0.799) indicated good discriminative ability of the
model in distinguishing between stroke types. These
findings support the reliability and predictive validity of
the regression model used in this study. The present
study has several strengths. It provides locally relevant
evidence regarding the relationship between
hypertension and stroke subtype, which remains limited
in Pakistan. Furthermore, the use of multivariable
logistic regression allowed adjustment for potential
confounding variables, thereby improving the accuracy
of the estimated associations. The inclusion of model
performance assessments, including ROC analysis and
the Hosmer–Lemeshow test, further strengthens the
credibility of the ndings. Overall, our ndings
reinforce the critical role of hypertension as a major
modifiable risk factor for stroke in the local population.
The high prevalence of hypertension among stroke
patients highlights the urgent need for improved blood
pressure screening, treatment adherence, and
community-level prevention strategies to reduce the
burden of stroke in Pakistan.
Frequency of Hypertension in Patients with Ischaemic