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Clinical characteristics and impact of comorbidities on the prognosis of senile epilepsy in Southwest China: a retrospective cohort study

Acta Epileptologica volume 6, Article number: 11 (2024) Cite this article

Abstract

Background

Senile epilepsy and its comorbidities pose a tremendous burden on patients and the society. This study was aimed to investigate the clinical characteristics and comorbidities of senile epilepsy, as well as the impact of comorbidities on the prognosis of senile epilepsy.

Methods

Information of patients with senile epilepsy was retrospectively collected from three tertiary hospitals in Southwest China between December 2014 and December 2022. A total of 154 patients met the inclusion criteria and were divided into two groups based on the presence or absence of comorbidities. The prevalence, type, characteristics, and impacts of the comorbidities were investigated. The characteristics of patients with and without comorbidities were also compared.

Results

Eighty-one percent of patients with senile epilepsy had at least one comorbidity, and 36% had three or more comorbidities. Eighteen different types of comorbidities were identified. The most common comorbidities were neurological (61%), followed by cardiovascular (45%) and psychiatric (26%) comorbidities. More than one-third of patients had bidirectional comorbidities, whereas more than half of the patients had additional causal comorbidities. Among all types of comorbidities, neurological and psychiatric comorbidities were found to be associated with an increased risk of recurrent seizures. Compared to patients without bidirectional comorbidities, those with at least one bidirectional comorbidity had a lower rate of achieving seizure freedom. The higher the number of bidirectional comorbidities, the lower the seizure-free rate. Survival analysis revealed that patients with neurological comorbidities had a higher risk of death.

Conclusions

This study revealed a high comorbidity rate and a low seizure-freedom rate among patients with senile epilepsy. In particular, neuropsychiatric comorbidities can increase the risk of seizures and affect the survival rate of patients with senile epilepsy. Therefore, preventing and managing these comorbidities may improve seizure outcomes and reduce mortality in this special population.

Background

Epilepsy is a chronic neurological disorder that can affect people of all ages. According to the Global Burden of Diseases report, epilepsy is the third most common neurological condition, affecting an estimated number of 65 million people globally. The prevalence of epilepsy is approximately 6 per 1000 with an annual incidence of ~ 68 per 100,000 persons [1]. Senile epilepsy occurs after the age of 60 or 65 [2]. Although the incidence and prevalence of epilepsy greatly vary across different countries and regions with varying socioeconomic and cultural backgrounds, they are generally higher in the elderly individuals aged over 60 or 65 years than other age groups [3]. The current studies suggest that the annual incidence of epilepsy in the elderly is approximately 100–134 per 100,000 [3, 4], which is nearly twice as high as that in the younger population [3], and the annual prevalence is approximately 1–5.4% [4, 5]. Moreover, the incidence and prevalence of epilepsy among the elderly will grow even higher with the increase of the elderly population. Thus, epilepsy has emerged as the third most prevalent disease of the nervous system in the elderly, only after cerebrovascular disease and Alzheimer’s disease [6].

Comorbidity refers to the simultaneous occurrence of two or more medical conditions in the same individual [7]. Patients with epilepsy may have one or more comorbidities, such as physical, neurological, and mental conditions [8,9,10]. The prevalence of comorbidities in patients with epilepsy is significantly higher than that in the general population and in patients with other chronic diseases. Studies have suggested that there may be common pathophysiological mechanisms between epilepsy and its comorbidities [8,9,10]. Comorbidities with causal effects can significantly impact the prognosis of epilepsy such as post-stroke epilepsy, which account for about 10% [10]. This is followed by bidirectional comorbidities, in which epilepsy and other conditions affect each other but with no causal relationship, such as anxiety and depression. Therefore, comorbidities are increasingly recognized as an important factor affecting the prognosis and quality of life of epilepsy patients [9].

Although the number of elderly epilepsy patients is increasing, there is still a large gap in the prevalence of comorbidities in patients with senile epilepsy and the impact of the comorbidities on the prognosis of senile epilepsy [11]. Therefore, this retrospective study was conducted to investigate the relationship between senile epilepsy and its comorbidities in Southwest China and the impact of comorbidities on prognosis, including seizure outcomes and survival.

Methods

Sources of study data

Information of senile epilepsy patients was collected from the outpatient and inpatient systems in West China Hospital of Sichuan University, the Second People’s Hospital of Yibin, and Chengdu Shangjin Nanfu Hospital from December 2014 to December 2022. The inclusion criteria were epilepsy onset after the age of 60, availability of reliable and complete data on comorbidities, and treatment duration of more than one year. All the relevant data were collected from the medical record systems and through in-person or telephone interviews with the patients.

Measurement

General information

General information included sex, age, educational level, and place of residence. The levels of education were classified as illiterate, primary school level, junior high school level, senior high school level, and college level.

Clinical characteristics of epilepsy

The clinical characteristics of epilepsy included the age of onset, age of diagnosis, duration of epilepsy, seizure frequency, etiology of epilepsy, seizure type, number of anti-seizure medications (ASMs), neuroimaging, and electroencephalogram (EEG). The etiologies of epilepsy and types of seizure were categorized according to the recent recommendations of the International League Against Epilepsy (ILAE 2017) [12].

Comorbidities

Information on comorbidities was obtained by reviewing the medical history and records, in accordance with the International Classification of Diseases, 10th Revision (ICD-10 codes). Depression, anxiety, dementia, and psychotic disorders were classified as bidirectional comorbidities of epilepsy [9]. Cerebral infarction, traumatic brain injury, cerebral hemorrhage, intracranial tumor, and cerebrovascular malformation were classified as causal comorbidities. Comorbidities not of the above two categories were classified as other comorbidities. The comorbidities documented in this study occurred before the onset of senile epilepsy.

Outcomes

The seizure control status of patients was categorized as “seizure-free,” “treatment failure,” or “uncertain” according to the ILAE 2010 treatment consensus [13]. Seizure-free was defined as being free from seizures for a minimum period of three times the longest inter-seizure interval before intervention (determined from seizures occurring within the past 12 months) or 12 months, whichever was longer. Treatment failure was defined as the recurrence of seizures despite a proper and adequate intervention; otherwise, the outcome was designated as uncertain [13]. Seizure outcomes in this study were classified as either seizure-free or seizure-uncontrolled (indicating treatment failure or uncertainty).

Statistical analysis

For statistical analysis, we used the Chinese version of IBM SPSS Statistics 27. A statistically significant result had a two-tailed significance level of P ≤ 0.05. Qualitative data are presented as ratios or rates, while quantitative data are presented as the mean ± standard deviation. Patients were categorized into the comorbidity group and the non-comorbidity group. Differences between the two groups were analyzed with the t/t’ test (when the variance was uneven, the t’ test was used) or the chi-square test/Fisher’s exact test. Spearman rank correlation test was used to analyze the association between ordinal variables and patient outcomes. Univariate logistic regression was performed on the above variables to calculate the crude odds ratio (OR). Thereafter, general information and epilepsy characteristics were included in the model, and the variable selection method was "forward: conditional". In this process, variables with P < 0.05 were included in the model, while those with P > 0.10 were excluded. The adjusted OR was subsequently obtained. Survival analysis was conducted using the Kaplan–Meier method. The survival time was defined as the total duration of senile epilepsy, whereas death was identified as the primary outcome. Crude hazard ratios were calculated using Cox regression analysis.

Results

Characteristics of senile epilepsy

One hundred and fifty-four patients with senile epilepsy were enrolled in this study. The general data and clinical characteristics of these patients are presented in Table 1. There were no significant differences in sex, age, education, or place of residence between senile epilepsy patients with and without comorbidities. There was also no significant difference in age of onset, age of diagnosis, duration of disease, and number of ASMs. However, the patients with comorbidities were more likely to have focal seizures, structural lesions, and abnormal neuroimaging and EEG features. In terms of seizure outcome, 45% (69/154) of the included patients were seizure-free.

Table 1 Comparison of the general information and clinical characteristics of elder patients with and without comorbidities
Full size table

Comorbidities of senile epilepsy

One hundred and twenty-five patients had at least one comorbidity. As shown in Fig. 1, the total number of comorbidities in each patient ranged 1–7. Specifically, 35 (23%) patients had one comorbidity, 34 (22%) had two comorbidities, 34 (22%) had three comorbidities, and 22 (14%) had more than three comorbidities. A total of 18 different types of comorbidities were identified. The most common comorbidities were neurological (61%), followed by cardiovascular (45%), psychiatric/mental (26%), endocrine and metabolic (20%), respiratory (4%), neoplasms (extracranial) (3%), and other diseases (2%). Of the neurological diseases, cerebrovascular diseases were the most common, affecting 52 of 154 cases.

Fig. 1
figure 1

Number of patients with various comorbidities

Full size image

In addition, 36% of the patients in the comorbidity group had bidirectional comorbidities including depression, anxiety, dementia, and psychotic disorders. More specifically, 18% had one, 14% had two, and 4% had three bidirectional comorbidities. The causal comorbidities included cerebral infarction, traumatic brain injury, cerebral hemorrhage, intracranial tumor, and cerebrovascular malformation. Eighty-one (52%) had at least one causal comorbidity, including one patient with two causal comorbidities and 80 patients with only one causal comorbidity.

Effect of comorbidities on the seizure-freedom rate

There was a significant difference in the seizure-freedom rate between patients with and without comorbidities (Table 2). However, the significance diminished after adjusting for the confounding factors.

Table 2 Comorbidities in elder patients with and without seizure-freedom
Full size table

The rate of seizure freedom was significantly lower in patients with epilepsy who had neurological or psychiatric comorbidities compared to those with other comorbidities. The presence of neurological comorbidity increased the risk of seizures by 120.4% (crude OR [95%] = 2.204 (1.139, 4.265); adjusted OR [95%] = 1.705 [0.844, 3.443]), while the comorbid mental disorders increased the risk of seizures by 221.8% (crude OR [95%] = 3.218 [1.440, 7.194]; adjusted OR [95%] = 2.606 [1.124, 6.041]). The patients with other comorbidities did not show significant difference in the seizure freedom rate from those without comorbidities.

Patients with at least one bidirectional comorbidity had a lower seizure-freedom rate compared to those without bidirectional comorbidities. Thus, the higher the rate of bidirectional comorbidities, the lower the probability of seizure-freedom. Patients with bidirectional comorbidity had a nearly 116% higher risk of seizure than those without bidirectional comorbidities (crude OR [95% CI] = 2.473 [1.235, 4.954]; adjusted OR [95% CI] = 2.162 [1.037, 4.506]). Furthermore, each addition of one bidirectional comorbidity was associated with a 58% increased risk of exacerbating the condition (crude OR [95% CI] = 1.713 [1.139, 2.577]; adjusted OR [95% CI] = 1.578 [1.034, 2.408]).

In terms of the causal comorbidities, there was no statistical difference in the rate of seizure-free outcomes between those with and without at least one causal comorbidity.

Effect of comorbidities on survival

During the follow-up, 10 out of the 154 (6%) patients died. Three patients died from prolonged status epilepticus, whereas seven died from other causes, including alcoholic cirrhosis, severe pneumonia (n = 2), lung cancer, esophageal cancer, cerebral infarction, and heart failure.

As shown in Fig. 2a, there was no death among patients without comorbidity, while 10 of 125 (8%) patients in the comorbidity group died. However, survival analysis did not show a statistical significance.

Fig. 2
figure 2

Survival curve analysis showing different survival rates in patients with versus without comorbidities. a Patients with comorbidities had a lower survival rate than those without any comorbidity. b A lower survival rate was observed in patients with comorbid neurological diseases than those without. c-f The survival rate did not differ between patients with other system diseases and those without. g The survival rate did not differ between patients with and without bidirectional comorbidities. h The survival rate did not differ between patients with and without causal comorbidities. i The survival rate was lower in patients with other comorbidities than in those without other comorbidities

Full size image

There was no significant difference in the survival rate between patients with a specific type of comorbidity and those without that type (Fig. 2b–f), except that those with comorbid neurological conditions had lower survival rate than those without comorbid neurological conditions.

In addition, there was no significant difference in the survival rate between patients with and without bidirectional comorbidities (Fig. 2g). Similarly, there was no statistically significant difference in survival between those with and without causal comorbidities (Fig. 2h). However, there was a significant difference in survival between patients with and without other comorbidities (Fig. 2i).

Discussion

The elderly is a distinct population, alongside children and pregnant women. A series of health problems can occur among the elderly due to various physiological changes during the aging process. The coexistence of aging and epilepsy inevitably leads to a prognosis that differs from that in other age groups. Elderly patients often have a large number of underlying diseases. In this retrospective cohort study, we investigated the current status of senile epilepsy and its comorbidities in China and also explored the impact of the comorbidities on the prognosis of senile epilepsy.

Our study found that the main seizure type among people with senile epilepsy was focal seizures, which is consistent with previous studies [2, 14,15,16,17]. The most prevalent cause of senile epilepsy was structural lesions, particularly brain abnormalities caused by cerebrovascular diseases such as stroke, as previously reported by other studies [18, 19]. Although the exact etiology of epilepsy is unknown, stroke is the most commonly reported cause of epilepsy, accounting for 30–50% of cases, followed by degenerative diseases and tumors [3,4,5, 20, 21]. Consistently, in this study, the main cause of senile epilepsy is still structural abnormalities, particularly structural lesions caused by cerebrovascular diseases.

In our study, the seizure-freedom rate among patients with senile epilepsy was only 45%, which was lower than the rate in other populations (70%). This may be because the study population mostly came from rural areas and had lower educational levels, which are often associated with poor health awareness, lower compliance, and thus worse treatment outcomes. In addition, compared with younger patients, older patients with epilepsy have more structural etiologies, which may also have contributed to the lower seizure-freedom rate.

Furthermore, our study found that senile epilepsy patients had more comorbidities compared with epilepsy patients from other age groups [8]. The types of comorbidities were also different from those of other age groups. In population-based studies, the prevalence of psychiatric comorbidities is three times higher among people with epilepsy compared with others over the lifetime. Mood disorders, such as anxiety and depression, are the most common comorbidities in both adults and pediatric populations, whereas attention deficit hyperactivity disorder is most common in children. The most common neurological comorbidities in patients with epilepsy are stroke and migraine, with migraine being more prevalent among younger patients while stroke being more common in older patients [22, 23]. Consistently, in this study, the most common neurological comorbidity was also stroke.

Our study suggests that the presence of comorbidities may decrease the probability of seizure freedom in senile epilepsy. Consistent with previous studies [8], here we found a trend toward lower seizure-freedom rate with increased number of comorbidities. However, the trend was not statistically significant after adjusting for confounding factors, which may be attributed to the small sample size in this study. Therefore, future studies with larger sample sizes are needed to explore the effects of comorbidities on the prognosis of epilepsy in the elderly.

In our study, the presence of neurological and psychiatric comorbidities was associated with a decreased probability of achieving seizure freedom. Neurological comorbidities, such as stroke, are more likely to result from structural changes in the brain, thus increasing the risk of recurrent seizures in elderly patients, possibly due to a causal effect. In addition, there may also be bidirectional effects. For example, dementia in people with epilepsy can lead to functional deterioration and behavioral changes, which, in turn, further aggravate the prognosis [24]. Previous studies have reported that stroke is the strongest independent predictor of acute symptomatic seizures and new seizures in people aged over 65 years [25, 26]. In the present study, depression (32/54) and anxiety (31/154) were the most common psychiatric comorbidities, which is consistent with previous studies [27,28,29]. Psychiatric comorbidities have negative impacts on the prognosis of epilepsy in the elderly population. We found a lower rate of seizure freedom in patients with anxiety and depression, which is consistent with previous reports [30]. Indeed, anxiety/depression and epilepsy may influence each other. The presence of psychiatric comorbidities will reduce the threshold of seizures and hinder the effective control of seizures, thus affecting the prognosis of epilepsy [31, 32]. Here, we found that patients with at least one bidirectional comorbidity had a lower rate of seizure freedom compared to those with no bidirectional comorbidity; moreover, the seizure-freedom rate decreased with increased number of bidirectional comorbidities. Therefore, psychiatric comorbidities should be addressed in each patient and properly managed to improve seizure control and the overall quality of life.

Our study has some limitations. First, this study was a retrospective study, thus there might be an information bias. The patient data were obtained primarily from the medical record system and by patient interview, which may have contributed to the missing of some information. Second, the sample size of this study was small, which may be a potential cause of the failure to detect statistical significance. Since the participants in this study were from only three tertiary hospitals in southwest China, there may be some selection bias. For example, patients from some less-developed regions, and those who were treated by general practitioners were not included. Therefore, the generalization of this result may be limited. Large-scale prospective cohort studies are needed to fully clarify the relationship between comorbidities and epilepsy outcomes in older adults.

Conclusions

Our study revealed a high comorbidity rate and a low seizure-freedom rate among patients with senile epilepsy. Particularly, neuropsychiatric comorbidities can increase the risk of seizures and affect the survival rate in elderly patients with epilepsy. Our findings suggest that prevention and early treatment of comorbidities in patients with senile epilepsy may improve their outcomes and reduce the risk of death.

Availability of data and materials

All data generated or analyzed during this study are included in this article. Further enquiries can be directed to the corresponding author.

Abbreviations

ASM:

Anti-seizure medication

EEG:

Electroencephalogram

HR:

Hazard ratios

ILAE:

The International League Against Epilepsy

OR:

Odds ratio

References

  1. Devinsky O, Vezzani A, O’Brien TJ, Jette N, Scheffer IE, de Curtis M, et al. Epilepsy Nat Rev Dis Primers. 2018;4:18024.

    Article  PubMed  Google Scholar 

  2. Acharya JN, Acharya VJ. Epilepsy in the elderly: Special considerations and challenges. Ann Indian Acad Neurol. 2014;17(Suppl 1):S18–26.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Beghi E, Giussani G, Costa C, DiFrancesco JC, Dhakar M, Leppik I, et al. The epidemiology of epilepsy in older adults: A narrative review by the ILAE Task Force on Epilepsy in the Elderly. Epilepsia. 2023;64(3):586–601.

    Article  PubMed  Google Scholar 

  4. Stephen LJ, Brodie MJ. Epilepsy in elderly people. Lancet. 2000;355(9213):1441–6.

    Article  CAS  PubMed  Google Scholar 

  5. Sen A, Jette N, Husain M, Sander JW. Epilepsy in older people. Lancet. 2020;395(10225):735–48.

    Article  PubMed  Google Scholar 

  6. Lee SK. Epilepsy in the Elderly: Treatment and Consideration of Comorbid Diseases. J Epilepsy Res. 2019;9(1):27–35.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Valderas JM, Starfield B, Sibbald B, Salisbury C, Roland M. Defining comorbidity: implications for understanding health and health services. Ann Fam Med. 2009;7(4):357–63.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Giussani G, Bianchi E, Beretta S, Carone D, DiFrancesco JC, Stabile A, et al. Comorbidities in patients with epilepsy: Frequency, mechanisms and effects on long-term outcome. Epilepsia. 2021;62(10):2395–404.

    Article  PubMed  Google Scholar 

  9. Keezer MR, Sisodiya SM, Sander JW. Comorbidities of epilepsy: current concepts and future perspectives. Lancet Neurol. 2016;15(1):106–15.

    Article  PubMed  Google Scholar 

  10. Uepping P, Hamer H, Scholten J, Kostev K. Physical and mental health comorbidities of patients with epilepsy in Germany - A retrospective cohort study. Epilepsy Behav. 2021;117: 107857.

    Article  PubMed  Google Scholar 

  11. Stefan H. Epilepsy in the elderly: facts and challenges. Acta Neurol Scand. 2011;124(4):223–37.

    Article  CAS  PubMed  Google Scholar 

  12. Scheffer IE, Berkovic S, Capovilla G, Connolly MB, French J, Guilhoto L, et al. ILAE classification of the epilepsies: Position paper of the ILAE Commission for Classification and Terminology. Epilepsia. 2017;58(4):512–21.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Kwan P, Arzimanoglou A, Berg AT, Brodie MJ, Allen Hauser W, Mathern G, et al. Definition of drug resistant epilepsy: consensus proposal by the ad hoc Task Force of the ILAE Commission on Therapeutic Strategies. Epilepsia. 2010;51(6):1069–77.

    Article  CAS  PubMed  Google Scholar 

  14. McBride AE, Shih TT, Hirsch LJ. Video-EEG monitoring in the elderly: a review of 94 patients. Epilepsia. 2002;43(2):165–9.

    Article  PubMed  Google Scholar 

  15. Tahir M, Hummadi MF, Kurmanji JM, Al-Shimmery IK. Silent Strokes is a Risk for Epilepsy in Elderly Population. Int J Med Res Professionals. 2016;2(3):99–102.

  16. Shariff EM, AlKhamis FA. New onset epilepsy in the elderly: clinical, radiological and electroencephalographic features and treatment responses. Neurosciences (Riyadh). 2017;22(2):102–6.

    Article  PubMed  Google Scholar 

  17. Stefan H, May TW, Pfäfflin M, Brandt C, Füratsch N, Schmitz B, et al. Epilepsy in the elderly: comparing clinical characteristics with younger patients. Acta Neurol Scand. 2014;129(5):283–93.

    Article  CAS  PubMed  Google Scholar 

  18. Zhao Y, Li X, Zhang K, Tong T, Cui R. The Progress of Epilepsy after Stroke. Curr Neuropharmacol. 2018;16(1):71–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Burn J, Dennis M, Bamford J, Sandercock P, Wade D, Warlow C. Epileptic seizures after a first stroke: the Oxfordshire Community Stroke Project. BMJ. 1997;315(7122):1582–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Huang C, Feng L, Li YH, Wang Y, Chi XS, Wang W, et al. Clinical features and prognosis of epilepsy in the elderly in western China. Seizure. 2016;38:26–31.

    Article  PubMed  Google Scholar 

  21. Lhatoo SD, Johnson AL, Goodridge DM, MacDonald BK, Sander JW, Shorvon SD. Mortality in epilepsy in the first 11 to 14 years after diagnosis: multivariate analysis of a long-term, prospective, population-based cohort. Ann Neurol. 2001;49(3):336–44.

    Article  CAS  PubMed  Google Scholar 

  22. Haut SR, Bigal ME, Lipton RB. Chronic disorders with episodic manifestations: focus on epilepsy and migraine. Lancet Neurol. 2006;5(2):148–57.

    Article  PubMed  PubMed Central  Google Scholar 

  23. So EL, Annegers JF, Hauser WA, O’Brien PC, Whisnant JP. Population-based study of seizure disorders after cerebral infarction. Neurology. 1996;46(2):350–5.

    Article  CAS  PubMed  Google Scholar 

  24. Helmstaedter C, Witt JA. Epilepsy and cognition - A bidirectional relationship? Seizure. 2017;49:83–9.

    Article  PubMed  Google Scholar 

  25. Annegers JF, Hauser WA, Lee JR, Rocca WA. Incidence of acute symptomatic seizures in Rochester, Minnesota, 1935–1984. Epilepsia. 1995;36(4):327–33.

    Article  CAS  PubMed  Google Scholar 

  26. Martin RC, Faught E, Richman J, Funkhouser E, Kim Y, Clements K, et al. Psychiatric and neurologic risk factors for incident cases of new-onset epilepsy in older adults: data from U.S. Medicare beneficiaries. Epilepsia. 2014;55(7):1120–7.

    Article  PubMed  Google Scholar 

  27. Kanner AM. Management of psychiatric and neurological comorbidities in epilepsy. Nat Rev Neurol. 2016;12(2):106–16.

    Article  CAS  PubMed  Google Scholar 

  28. Phabphal K, Geater A, Limapichat K, Sathirapanya P, Setthawatcharawanich S. Risk factors of recurrent seizure, co-morbidities, and mortality in new onset seizure in elderly. Seizure. 2013;22(7):577–80.

    Article  PubMed  Google Scholar 

  29. Rai D, Kerr MP, McManus S, Jordanova V, Lewis G, Brugha TS. Epilepsy and psychiatric comorbidity: a nationally representative population-based study. Epilepsia. 2012;53(6):1095–103.

    Article  PubMed  Google Scholar 

  30. Altınöz AE, Tosun Meriç O, Tosun Altınöz Ş, Eşsizoğlu A, Coşar B. Psychiatric disorders comorbid with epilepsy in a prison sample. Seizure. 2016;40:133–5.

    Article  PubMed  Google Scholar 

  31. Liik M, Paris M, Vahter L, Gross-Paju K, Haldre S. 123I-ADAM SPET imaging of serotonin transporter in patients with epilepsy and comorbid depression. BMC Neurol. 2013;13:204.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Fan HC, Chiang KL, Chang KH, Chen CM, Tsai JD. Epilepsy and Attention Deficit Hyperactivity Disorder: Connection, Chance, and Challenges. Int J Mol Sci. 2023;24(6):5270.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We thank Dr. Ammar T. Abdulaziz from the Department of Neurology, West China Hospital of Sichuan University, for editing the manuscript.

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Author notes

  1. Zhen Cao and Yinping Li contributed equally to this work.

Authors and Affiliations

  1. Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China

    Zhen Cao, Yinping Li, Shengyi Liu, Zihua He & Jinmei Li

  2. Department of Geriatric, The Second People’s Hospital of Yibin, Yibin, 644000, China

    Zhen Cao

  3. Department of Neurology, Chengdu Shangjin Nanfu Hospital, Chengdu, 610000, China

    Zihua He

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Contributions

ZC and YL: Study design, data collection and analysis, manuscript writing and revision, YL and ZC contributed equally to this study. SL and ZH: Data collection and analysis. JL: Supervision, guidance, and manuscript revision. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jinmei Li.

Ethics declarations

Ethics approval and consent to participate

Informed consent was obtained from patients or their families. The study was approved by the Ethics Committee Biomedical Research, West China Hospital of Sichuan University (Approval number: 2022–487).

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Not applicable.

Competing interests

All authors declare that they have no competing interests.

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Cao, Z., Li, Y., Liu, S. et al. Clinical characteristics and impact of comorbidities on the prognosis of senile epilepsy in Southwest China: a retrospective cohort study. Acta Epileptologica 6, 11 (2024). https://doi.org/10.1186/s42494-024-00153-8

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Acta Epileptologica

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