Electrolyte Disorders in the Acute Phase of Ischemic Stroke in the University Hospitals of Ouagadougou, Burkina Faso: Prevalence and Association with In-Hospital Mortality ()
1. Introduction
Stroke is a severe neurological condition and a major global public health problem. Its burden is particularly heavy in sub-Saharan Africa, where long delays in medical care, the absence of stroke units, the lack of proven effective therapies such as thrombolysis and mechanical thrombectomy, and limited resuscitation resources significantly worsen outcomes. In this context, in-hospital mortality has been estimated at 22% in a recent meta-analysis [1]. In addition to the morbidity directly related to brain injury, biological and metabolic abnormalities occurring during the acute phase of ischemic stroke (IS)—particularly electrolyte disorders—appear to be associated with early poor vital and functional outcomes [2].
The high mortality and morbidity associated with stroke are partly due to serious complications, among which electrolyte imbalances play an important role [3] [4]. Electrolytes such as sodium, potassium, calcium, and magnesium are essential for normal neuronal function [5]. Their disruption during the acute phase of stroke is common and directly influences prognosis. Hyponatremia (11% - 33%) is associated with an increased risk of death; hypokalemia (18%) is linked to higher mortality and poorer functional outcomes; hypocalcemia (11% - 28%) is associated with a higher risk of hemorrhagic transformation of the infarct; and hypomagnesemia (10% - 20%) correlates with worse outcomes and larger volumes of IS [6] [7].
While several international studies have established an association between these electrolyte disorders and unfavorable outcomes, no specific study on this topic has been conducted in Burkina Faso, despite the high prevalence of stroke and its significant mortality rate.
This study, therefore, aims to fill this gap by determining the prevalence of electrolyte disorders during the acute phase of IS and evaluating their impact on in-hospital mortality among patients admitted to the University Hospitals (UHs) of Ouagadougou. The ultimate goal is to improve patient management and potentially reduce stroke-related morbidity and mortality in our setting through targeted correction of these abnormalities.
2. Patients and Methods
This was a descriptive and analytical study based on a retrospective collection of data. It was conducted in the three main UHs of Ouagadougou, Burkina Faso—Yalgado Ouédraogo UH, Bogodogo UH, and Tengandogo UH—over the period from January 1, 2022, to May 31, 2024. These hospitals serve as national referral centers for the management of neurological disorders.
2.1. Inclusion Criteria
The study included adult patients (>16 years) hospitalized for ischemic stroke (IS) confirmed by brain computed tomography (CT) performed within 72 hours of symptom onset, with complete medical records including serum electrolytes at admission.
2.2. Exclusion Criteria
Excluded were incomplete medical files, patients hospitalized for neurological conditions other than IS, and cases lacking interpretable serum electrolyte measurements at admission.
2.3. Data Collection and Analysis
Data were extracted from medical charts, hospitalization registries, and follow-up forms between August and October 2024. A comprehensive set of variables was analyzed, including socio-demographic characteristics, clinical data, laboratory parameters (including serum electrolyte profiles), brain CT findings obtained at admission, stroke etiologies, treatment modalities, and in-hospital outcomes. Statistical analyses were performed using Epi Info version 7.1.5.2. The analysis included descriptive statistics as well as univariate analysis and multivariate logistic regression to identify electrolyte abnormalities independently associated with in-hospital mortality. Variables for which p-value was <0.20 were included in the multivariate logistic regression model.
Authorization from the administrative authorities of all participating UHs was obtained prior to the study. Patient confidentiality was strictly preserved through anonymization and coded data collection procedures.
2.4. Operational Definitions
Due to the unavailability of certain laboratory tests, the study focused on the following serum electrolytes: sodium, potassium, calcium, magnesium, chloride, and total proteins.
In this study:
Hyponatremia was defined as serum sodium <135 mmol/L and hypernatremia as >145 mmol/L;
Hypokalemia as serum potassium <3.5 mmol/L and hyperkalemia as >5.0 mmol/L;
Hypochloremia as serum chloride <96 mmol/L and hyperchloremia as >106 mmol/L;
Hypocalcemia as serum calcium <2.20 mmol/L and hypercalcemia as >2.60 mmol/L;
Hypomagnesemia as serum magnesium <0.50 mmol/L and hypermagnesemia as >0.95 mmol/L;
Hypoproteinemia as total serum proteins <60 g/L.
3. Results
Over a 29-month period (January 2022 to May 2024), 1539 patients were admitted to the neurology departments of the UHs of Ouagadougou for stroke, including 1016 ischemic strokes, of which 249 patients were ultimately included in the study.
Male patients were predominant (60.2%), with a male-to-female sex ratio of 1.1. The mean age was 63.2 years (±14.0), with the 60-75-year age group being the most represented (45.4%). Hypertension, dyslipidemia, previous stroke, and sedentary lifestyle—with 166 cases (66.7%), 89 cases (35.7%), and 43 cases (17.3%), respectively—were the most frequently observed vascular risk factors. Comorbidities were found in 26 patients (10.4%). Table 1 below presents the distribution of patients according to sociodemographic characteristics, vascular risk factors, and comorbidities.
Table 1. Distribution of patients according to sociodemographic characteristics, vascular risk factors, and comorbidities (n = 249).
Variables |
Number (n = 249) |
Percentage (%) |
Sex |
|
|
Male |
150 |
60.2 |
Female |
99 |
39.8 |
Age groups |
|
|
≤30 years |
6 |
2.4 |
31 - 45 years |
25 |
10.0 |
46 - 60 years |
61 |
24.5 |
61 - 75 years |
113 |
45.4 |
>75 years |
44 |
17.7 |
Vascular risk factors |
|
|
Hypertension |
166 |
66.7 |
Dyslipidemia |
89 |
35.7 |
History of stroke |
43 |
17.3 |
Sedentary lifestyle |
43 |
17.3 |
Alcohol use |
38 |
15.3 |
Smoking |
33 |
13.3 |
Diabetes mellitus |
26 |
10.4 |
Obesity |
17 |
6.8 |
Oral contraception |
1 |
0.4 |
Comorbidities |
26 |
10.4 |
Chronic psychosis |
8 |
3.2 |
Peptic ulcer disease |
7 |
2.8 |
History of stroke with neurological sequelae |
5 |
2.0 |
Cardiomyopathy |
5 |
2.0 |
HIV infection |
3 |
1.2 |
Gout |
2 |
0.8 |
Prior myocardial infarction |
1 |
0.4 |
Chronic kidney disease |
1 |
0.4 |
History of herpes zoster |
1 |
0.4 |
The mean time to hospital admission was 26.4 ± 8 hours, with extremes ranging from 4 to 72 hours. The mean NIHSS at admission was 12 ± 4.3, with values ranging from 1 to 30. At admission, 64 patients (25.7%) presented with altered consciousness, and 183 patients (73.5%) had a moderate neurological deficit (NIHSS between 5 and 15). The middle cerebral artery territory was the most frequently affected, with 182 cases (73.1%). Early signs of ischemia were observed in 35 patients (14%). Atherosclerosis (27.3%) and cardioembolic disorders (19.3%) were the most common etiologies. Table 2 below presents the distribution of patients according to clinical findings, brain CT scan results at admission, and the etiologies of ischemic stroke.
Table 2. Distribution of patients according to clinical characteristics, brain ct findings at admission, and etiologies of ischemic stroke (n = 249).
Variables |
Number |
Percentage (%) |
Clinical characteristics at admission |
|
|
Impaired consciousness (Glasgow Coma Score <13) |
78 |
32.3 |
Non-comatose impaired consciousness |
64 |
25.7 |
Coma (GCS 4 - 8) |
14 |
5.6 |
Fever |
20 |
8.0 |
Oxygen desaturation |
17 |
6.8 |
Hypertension at admission |
150 |
60.2 |
NIHSS |
|
|
1 - 4 (minor neurological deficit) |
52 |
20.9 |
5 - 15 (moderate deficit) |
183 |
73.5 |
16 - 20 (severe deficit) |
8 |
3.2 |
>20 (very severe deficit) |
6 |
2.4 |
Brain CT findings |
|
|
Early signs of cerebral ischemia |
35 |
14.0 |
Hyperdense arteries |
21 |
8.4 |
Sulcal effacement |
4 |
1.6 |
Loss of gray-white matter differentiation |
10 |
4.0 |
Leukoaraiosis |
43 |
17.3 |
Old ischemic scars |
13 |
5.2 |
Ischemic stroke territory |
|
|
Middle cerebral artery territory |
182 |
73.1 |
Anterior cerebral artery territory |
23 |
9.2 |
Anterior choroidal artery |
14 |
5.6 |
Vertebrobasilar territory |
36 |
14.4 |
Posterior cerebral artery |
25 |
10.0 |
Cerebellar artery |
6 |
2.4 |
Multilevel vertebrobasilar |
8 |
3.2 |
Multifocal |
14 |
5.6 |
Etiologies of ischemic stroke |
|
|
Atherosclerosis |
68 |
27.3 |
Cardioembolic |
48 |
19.3 |
Lacunar (small-vessel disease) |
26 |
10.4 |
Undetermined etiology |
107 |
43.0 |
At admission, several biological abnormalities were identified, predominantly electrolyte disorders. Hypokalemia and hypocalcemia were the most frequent disorders, each observed in 65 patients (26.5%). Hypoproteinemia was recorded in 50 patients (22.6%), while hyponatremia, hypomagnesemia, and hypochloremia were noted in 45 patients (18.3%), 42 patients (17.5%), and 35 patients (14.2%), respectively. In addition, other laboratory investigations revealed anemia in 32% of patients, hyperglycemia in 37.3%, an elevated C-reactive protein (CRP) level in 75.8% of those tested, and elevated serum creatinine in 25.8% of cases. Table 3 summarizes the distribution of electrolyte abnormalities and other biological disorders at admission.
Table 3. Distribution of patients according to electrolyte disturbances and other biological abnormalities at admission (n = 249).
Parameter |
Tested (n) |
% Tested |
Abnormality |
n |
% |
Sodium |
246 |
98.8% |
Decreased |
45 |
18.3% |
Increased |
16 |
6.5% |
Potassium |
245 |
98.4% |
Decreased |
65 |
26.5% |
Increased |
17 |
7.0% |
Chloride |
247 |
99.2% |
Decreased |
35 |
14.2% |
Increased |
24 |
9.7% |
Magnesium |
240 |
96.4% |
Decreased |
42 |
17.5% |
Increased |
16 |
6.7% |
Calcium |
243 |
97.6% |
Decreased |
65 |
26.7% |
Increased |
5 |
2.1% |
Total proteins |
221 |
88.8% |
Decreased |
50 |
22.6% |
Increased |
12 |
5.4% |
Test |
Tested (n) |
% |
Abnormality |
n |
% |
Complete blood count (CBC) |
244 |
98.0% |
Anemia |
78 |
32.0% |
Leukocytosis |
63 |
25.8% |
Leukopenia |
5 |
2.0% |
Thrombocytopenia |
36 |
14.8% |
Thrombocytosis |
12 |
4.9% |
Blood glucose |
241 |
96.8% |
Hyperglycemia |
93 |
37.3% |
Hypoglycemia |
12 |
4.8% |
C-reactive protein (CRP) |
66 |
26.5% |
Elevated CRP |
50 |
75.8% |
Renal function tests |
240 |
96.4% |
Elevated creatinine |
62 |
25.8% |
Elevated blood urea nitrogen |
52 |
21.7% |
Coagulation profile |
23 |
9.2% |
Low prothrombin time (PT) |
9 |
39.1% |
Prolonged activated partial thromboplastin time (aPTT) |
3 |
13.0% |
Elevated INR |
1 |
4.3% |
Correction of electrolyte disorders was performed in 41% of the affected patients. Antiplatelet therapy was administered to 95.6% of cases.
The mean length of hospital stay was 8.6 days. A total of 51 patients died during hospitalization, corresponding to an in-hospital mortality rate of 20.5%. The immediate causes of hospital deaths included direct stroke-related complications and respiratory distress (each accounting for 60.8%), often combined with infections or sepsis (52.9%).
At hospital discharge, among survivors, only 18.7% were functionally independent (mRS 0 - 2), whereas 81.3% had moderate to severe disability (mRS 3 - 5).
On univariate analysis, several electrolyte disorders were significantly associated with an increased risk of in-hospital mortality: hypernatremia (OR = 5.15; p = 0.01), hyperkalemia (OR = 2.68; p = 0.001), hyperchloremia (OR = 10.38; p < 0.001), hypomagnesemia (OR = 3.36; p = 0.03), hypermagnesemia (OR = 8.30; p < 0.001) and hypocalcemia (OR = 3.58; p = 0.01).
After multivariate analysis, hyperkalemia (adjusted OR = 1.40; 95% CI [1.12 -5.79]; p = 0.01), hyperchloremia (adjusted OR = 4.91; 95% CI [1.04 - 23.14]; p = 0.04), and hypermagnesemia (adjusted OR = 6.48; 95% CI [1.07 - 39.19]; p = 0.04) were independently associated with in-hospital mortality (Table 4). Table 5 below presents the results of the multivariate analysis using logistic regression on the impact of serum electrolyte disturbances on hospital mortality in patients admitted for IS.
Table 4. The results of the univariate analysis assessing the impact of serum electrolyte disturbances on in-hospital mortality.
Variables |
In-hospital mortality |
Total (n = 249) |
p-value |
Yes (n = 51) |
No (n = 198) |
|
|
Hyponatremia |
|
|
|
0.80 |
Yes |
2 |
43 |
45 |
No |
49 |
155 |
204 |
Hypernatremia |
|
|
|
0.01 |
Yes |
3 |
13 |
16 |
No |
48 |
185 |
233 |
Hypokalemia |
|
|
|
0.30 |
Yes |
5 |
60 |
65 |
No |
46 |
138 |
184 |
Hyperkalemia |
|
|
|
0.001 |
Yes |
2 |
15 |
17 |
No |
49 |
183 |
232 |
Hypochloremia |
|
|
|
0.34 |
Yes |
3 |
32 |
35 |
No |
48 |
166 |
214 |
Hyperchloremia |
|
|
|
0.000 |
Yes |
6 |
18 |
24 |
No |
45 |
162 |
225 |
Hypomagnesemia |
|
|
|
0.03 |
Yes |
5 |
37 |
42 |
No |
46 |
161 |
207 |
Hypermagnesemia |
|
|
|
0.000 |
Yes |
4 |
12 |
16 |
No |
47 |
186 |
233 |
Hypocalcemia |
|
|
|
0.01 |
Yes |
7 |
58 |
65 |
No |
44 |
140 |
184 |
Hypercalcemia |
|
|
|
0.60 |
Yes |
2 |
3 |
5 |
No |
49 |
195 |
244 |
Table 5. Multivariate analysis of the impact of electrolyte disturbances on in-hospital mortality in patients admitted for IS.
Variables |
In-hospital mortality |
Total |
OR [95% CI] |
p-value |
Yes |
No |
|
|
|
Hypernatremia |
|
|
|
1.00 [0.15 - 6.82] |
0.99 |
Yes |
2 |
43 |
45 |
No |
49 |
155 |
204 |
Hyperkalemia |
|
|
|
1.40 [1.12 - 5.79] |
0.01 |
Yes |
2 |
15 |
17 |
No |
49 |
183 |
232 |
Hyperchloremia |
|
|
|
4.91 [1.04 - 23.14] |
0.04 |
Yes |
6 |
18 |
24 |
No |
45 |
162 |
225 |
Hypomagnesemia |
|
|
|
3.92 [0.90 - 16.99] |
0.06 |
Yes |
5 |
37 |
42 |
No |
46 |
161 |
207 |
Hypermagnesemia |
|
|
|
6.48 [1.07 - 39.19] |
0.04 |
Yes |
4 |
12 |
16 |
No |
47 |
186 |
233 |
Hypocalcemia |
|
|
|
2.15 [0.59 - 7.76] |
0.24 |
yes |
2 |
3 |
5 |
No |
49 |
195 |
244 |
4. Discussion
Study Limitations
This study presents several potential biases that must be considered when interpreting the results:
Patient selection was limited to those admitted within ≤72 hours after stroke onset and who could undergo brain CT scanning within ≤12 hours of admission. This criterion excluded patients admitted later than 72 hours and/or those without rapid access to imaging.
Data quality depended on the completeness of electrolyte panels and medical records, which may have led to an underestimation of certain parameters.
Despite these limitations, the results are consistent and allow for meaningful comparison with the existing literature.
Electrolyte disorders such as hyponatremia, hypokalemia, hypocalcemia, and hypomagnesemia are common during the acute phase of stroke [8]. Data on other electrolytes (chloride, magnesium, etc.) are much more limited. There is a trend toward higher frequency and greater severity of electrolyte disorders in hemorrhagic strokes compared to ISs [9].
The prevalence of hyponatremia in our study was 18.3%, which falls within the 7% - 59% range reported in the international literature [4] [10]-[12]. Syndrome of inappropriate antidiuretic hormone secretion (SIADH) and cerebral salt-wasting syndrome are among the main mechanisms of hyponatremia in the acute phase of stroke [13]. Additional contributing factors include low-sodium or unsalted diets, use of certain medications (antihypertensives, antidepressants, nonsteroidal anti-inflammatory drugs, some antibiotics), diabetes mellitus, and heart failure [14]. In the context of IS, hyponatremia is primarily studied as a prognostic factor and predictor of mortality. In our cohort, no statistically significant association was found between hyponatremia and IS-related mortality.
The prevalence of hypernatremia in our study was 6.5%, comparable to Lompo et al., who reported 6% among IS patients in Burkina Faso [4]. In the United States and Germany, Aiyagari et al., Lindner et al., and Polderman et al. found hypernatremia prevalences ranging from 5% to 9% in stroke patients admitted to intensive care units [15] [16], placing our findings within this range. Causes of hypernatremia in hospitalized patients are diverse, including insufficient hydration, impaired thirst perception, renal (diuretics, diabetes) or extra-renal fluid losses (respiratory, gastrointestinal), and excessive sodium administration during correction attempts [17]. In the context of IS, hypernatremia is also evaluated as a prognostic factor and predictor of mortality, but no statistically significant association was observed in our study.
The prevalence of hypokalemia in our study was 26.5%, compared to 19.2% reported by Lompo et al. among IS patients [4]. Our higher prevalence may be explained by reduced oral intake related to dysphagia and underlying malnutrition, as well as stress-induced neuroendocrine responses (catecholamine surge, activation of the renin-angiotensin-aldosterone system) that enhance renal potassium loss. In addition, osmotic diuresis due to uncontrolled hyperglycemia and the use of β-agonists or insulin during acute management can shift potassium intracellularly and further contribute to hypokalemia in this setting [18]. In this study, the association between hypokalemia and in-hospital mortality after IS was not statistically significant.
The prevalence of hyperkalemia was 7%, close to the 6% reported by Lompo et al. [4]. Hyperkalemia in stroke patients remains relatively uncommon and is often influenced by medications used to manage vascular risk factors, such as angiotensin-converting enzyme inhibitors or potassium-sparing diuretics, which impair renal potassium excretion and thereby increase the risk of hyperkalemia. Additionally, too-tight tourniquet application or excessive fist-clenching during blood collection can lead to spurious (pseudo-) hyperkalemia, resulting in falsely elevated serum potassium levels [19] [20].
The prevalences of hypochloremia and hyperchloremia were 14.2% and 9.7%, respectively, comparable to 14.81% and 13.58% reported by Lompo et al. [4]. In a Chinese neurointensive care cohort of acute stroke patients, prevalence of hyperchloremia was 8.6% at admission and rose to 17.0% within the first 72 h [21]. In a Bangladeshi series, among ischaemic strokes, hypochloremia was present in 30.25% and hyperchloremia in 3.36% [12]. Hypochloremia may result from diuretic use for hypertension management, leading to excessive chloride loss, whereas hyperchloremia may be related to overzealous saline infusion [22].
Hypomagnesemia was observed in 17.5% of patients. In South Korea, Ryu et al. reported hypomagnesemia in 10% - 20% of stroke patients [23], while Pradhan et al. in India reported 32.81% [24]. Our prevalence falls within this global range. Contributing factors may include diuretic therapy for hypertension and malnutrition, which is common in hospitalized patients with swallowing difficulties or altered consciousness [25].
The prevalence of hypermagnesemia was 6.7% in our series, potentially due to high magnesium intake or renal insufficiency [26]. Hypermagnesemia remains rare or under-reported in this context [27].
Hypocalcemia was found in 26.7% of patients. Hossain et al. reported 11.8%, whereas Pradhan et al. reported 28.12% among IS patients [8] [24]. Our prevalence lies within this broad range. Hypocalcemia in stroke patients is often associated with worsened prognosis, although the exact mechanisms remain partially unclear [28]. However, in this study, the association between hypocalcemia and in-hospital mortality after IS was not statistically significant.
In our study, the prevalence of hypercalcemia was 2.1%. In other series hypercalcemia at the acute phase of ischemic stroke has been uncommon: a recent systematic review reported hypercalcemia in about 5.6% of acute IS patients [8] [29].
Single-center cohorts from Asia and other settings similarly report low rates (generally <6%) falling within this range. Beyond serum calcium levels, intracellular calcium disturbances are almost universally observed after IS. This is due to excess glutamate release during ischemia, which causes calcium overload in neurons, leading to neuronal injury. These intracellular disturbances are frequent and contribute to the expansion of the ischemic penumbra [30].
Calcium imbalances, particularly hypercalcemia, appear to be associated with worse prognosis in IS patients, with higher rates of mortality and complications [31].
Hypoproteinemia was present in 22.6% of patients in our cohort. Lompo et al. reported a prevalence of 15.2% [4]. In some cohort studies of acute ischemic strokes, serum albumin (the main component of plasma proteins) is reduced in 45.5% of patients [32]. The mechanisms implicated include leakage of plasma proteins into the ischemic brain parenchyma, accelerated catabolism (proteolysis) due to metabolic stress, and decreased protein synthesis due to systemic inflammation induced by stroke [33]. In our context, malnutrition, common among hospitalized patients, contributes significantly to hypoproteinemia [4]. Hypoproteinemia is associated with poorer outcomes in IS, including an increased risk of infections and prolonged hospital stay [4] [34].
In our study, the in-hospital mortality among patients admitted for IS was 20.5%, higher than the 17.9% reported by Lompo et al. [4]. Harada et al. in Japan and Lee et al. in the United States reported lower mortality rates of 5.7% and 6.8%, respectively [35] [36], likely due to early stroke unit care, intravenous thrombolysis, and mechanical thrombectomy in high-income countries.
In multivariate analysis, hyperkalemia (OR = 1.40; p = 0.01), hyperchloremia (OR = 4.91; p = 0.04), and hypermagnesemia (OR = 6.48; p = 0.04) were significantly associated with in-hospital mortality in IS patients. Elevated potassium levels can exacerbate ischemic neuronal injury. During acute stroke, neuronal depolarization increases extracellular potassium, and systemic hyperkalemia may worsen this effect, enhancing cell death. Huang et al. reported that hyperkalemia may indirectly contribute to cerebral edema, a major cause of mortality in IS [11].
Berend et al. in the Netherlands found that hyperchloremia is associated with poor prognosis in IS, as it may worsen metabolic acidosis, detrimental to ischemic brain tissue. Hyperchloremia can disrupt osmotic balance and cellular volume, potentially aggravating neurological damage, prolonging hospitalization, and increasing complications [37].
Harada et al. in Japan and Hoca et al. in Türkiye reported that hypermagnesemia is associated with worse prognosis and increased mortality in IS due to cardiovascular, respiratory, and neurological complications [35] [38]. Hypermagnesemia can impair blood coagulation and viscosity, potentially slowing cerebral circulation and limiting oxygen and nutrient delivery to ischemic areas. Additionally, hypermagnesemia-induced hypotension may further reduce cerebral perfusion, aggravating ischemic injury [39]. Early detection and correction of these electrolyte disturbances may prevent additional morbidity and mortality.
Elevated C-reactive protein (CRP) levels on admission, a marker of systemic inflammation, are recognized in series of patients with ischemic stroke as an independent predictor of mortality or poor functional prognosis [40]. However, in our series, only a small proportion of patients (26.5%) were tested for CRP, making its elevation reported in 75.8% of those tested unrepresentative of our patient population as a whole. Thus, in our context, the potentially prognostic role of CRP is debatable.
5. Conclusion
In our study, patients admitted for ischemic stroke (IS) exhibited electrolyte disturbances upon admission, the most frequent being hypokalemia, hypocalcemia, hypoproteinemia, hyponatremia, hypomagnesemia, and hypochloremia. Among these disturbances, hyperkalemia, hyperchloremia, and hypermagnesemia were significantly associated with increased in-hospital mortality. Systematic screening for electrolyte disturbances in all patients admitted for acute IS and their rapid correction could significantly reduce hospital mortality in IS patients in our context. Larger prospective studies are needed to further validate these findings.