Back

Prevalence and Risk Factors of Comorbidities in Epilepsy Patients: A Meta-Analysis of Observational Studies in Asia

Hussain, Z. A.; Aaqil, S. I.; Wen, C. P.; Khan, U. U.; Kaleem, S.; Tariq, R.; Ahmad, F.

2025-01-09 public and global health
10.1101/2025.01.09.25320254 medRxiv
Show abstract

BackgroundPatients with epilepsy often present with multiple comorbidities, which can exacerbate the progression of the disease and reduce their quality of life. Despite the clinical significance, there is a scarcity of collective data to estimate the prevalence of comorbidities among patients with epilepsy in the Asian setting. MethodsWe conducted a comprehensive literature search in PubMed, Scopus, and Google Scholar to identify observational studies conducted in Asia that reported the prevalence of comorbidities among patients diagnosed with epilepsy. Only studies focusing on epilepsy patients were included, and participants were required to have epilepsy confirmed through clinical diagnosis or International Classification of Diseases (ICD) codes. Other neurological conditions, such as non-epileptic seizures, brain tumors, or stroke without concurrent epilepsy, were excluded from this analysis to maintain focus on epilepsy-specific outcomes. ResultsA total of nine studies were included in the meta-analysis based on inclusion criteria. The most prevalent comorbidities among patients with epilepsy in Asia were hypertension (28.6%, 95% CI: 25.3%-32.0%) and diabetes mellitus (16.2%, 95% CI: 12.5%-20.2%). Factors such as gender, alcohol use, family history, and education level were significantly lower in comparison to other factors. ConclusionsOur study identified hypertension and diabetes mellitus as the most common comorbid conditions among epilepsy patients in Asian settings. These findings highlight the necessity for targeted interventions and comprehensive management strategies to address the high prevalence of comorbidities, ultimately improving patient outcomes. Further research is warranted to explore the underlying mechanisms and develop effective prevention strategies.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Epilepsia Open
17 papers in training set
Top 0.1%
31.7%
2
PLOS ONE
5266 papers in training set
Top 12%
15.4%
3
Epilepsy Research
14 papers in training set
Top 0.1%
4.9%
50% of probability mass above
4
Frontiers in Neurology
102 papers in training set
Top 0.7%
4.9%
5
Epilepsy & Behavior
12 papers in training set
Top 0.1%
3.5%
6
BMC Infectious Diseases
133 papers in training set
Top 1.0%
3.3%
7
BMC Public Health
158 papers in training set
Top 1%
3.3%
8
PLOS Neglected Tropical Diseases
466 papers in training set
Top 3%
1.8%
9
Frontiers in Public Health
148 papers in training set
Top 3%
1.8%
10
Scientific Reports
3612 papers in training set
Top 52%
1.8%
11
BMJ Open
601 papers in training set
Top 10%
1.5%
12
JMIRx Med
32 papers in training set
Top 1%
1.5%
13
PLOS Global Public Health
344 papers in training set
Top 6%
1.4%
14
Epilepsia
56 papers in training set
Top 0.4%
1.4%
15
Frontiers in Medicine
120 papers in training set
Top 3%
1.1%
16
F1000Research
88 papers in training set
Top 3%
1.1%
17
Journal of Affective Disorders Reports
11 papers in training set
Top 0.3%
0.9%
18
BMC Cancer
67 papers in training set
Top 2%
0.9%
19
Biomedicine & Pharmacotherapy
42 papers in training set
Top 1%
0.9%
20
Biology of Sex Differences
32 papers in training set
Top 0.5%
0.9%
21
Brain and Behavior
43 papers in training set
Top 2%
0.9%
22
eneuro
439 papers in training set
Top 8%
0.6%
23
BMC Medicine
176 papers in training set
Top 6%
0.6%
24
Molecular Brain
28 papers in training set
Top 0.6%
0.6%
25
Antioxidants
25 papers in training set
Top 0.7%
0.6%