Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Neurol., 11 July 2025

Sec. Multiple Sclerosis and Neuroimmunology

Volume 16 - 2025 | https://doi.org/10.3389/fneur.2025.1587804

Neuropsychiatric disorders among Ecuadorian patients with multiple sclerosis and neuromyelitis optica spectrum disorder

Edgar Patricio Correa-Díaz,
&#x;Edgar Patricio Correa-Díaz1,2*Ruth Jimbo Sotomayor,&#x;Ruth Jimbo Sotomayor2,3Jorge Rubn Pilco Romero&#x;Jorge Rubén Pilco Romero4Patricio Alexander Merino Aguilera,&#x;Patricio Alexander Merino Aguilera2,5
  • 1Department of Neurology, Hospital de Especialidades Carlos Andrade Marín, Quito, Ecuador
  • 2Pontifical Catholic University of Ecuador, Quito, Ecuador
  • 3Center for Research for Health in Latin America (CISEAL), Quito, Ecuador
  • 4Central University of Ecuador, Quito, Ecuador
  • 5Department of Internal Medicine, Hospital Oncológico Solón Espinosa Ayala, Quito, Ecuador

Introduction: Multiple Sclerosis (MS) and Neuromyelitis Optica Spectrum Disorder (NMOSD) are chronic demyelinating diseases of the central nervous system, there is an association between these diseases and neuropsychiatric disorders, which directly impacts the course of the disease and the quality of life of the patients.

Objective: To determine the prevalence of psychiatric disorders in patients with MS and NMOSD and its relationship with age and disability. Materials and methods: It is a cross-sectional study, 151 patients were included, 117 patients with MS and 34 patients with NMOSD. Information was obtained by collecting data from records of the patients. In order to establish the diagnoses of anxiety and depression, the Hamilton Depression Rating Scale (HDRS) and the Beck Depression Inventory (BDI) scales were completed.

Results: MS and NMOSD were frequent in female sex and mestizo ethnicity. The psychiatric disorders were frequent in both diseases (70.9% in MS and 85% in NMOSD), the most frequent pathologies were anxiety and depression. We found low frequency of attempted suicide. Anxiety and depression were present in patients between 41 and 50 years of age. There is not a correlation between the severity of anxiety and depression with age and disability.

Conclusion: It is the first Ecuadorian study in which we established a high prevalence of anxiety and depression in MS and NMOSD patients, the severity of both disease was not related with age and disability.

1 Introduction

Multiple Sclerosis (MS) and Neuromyelitis Optica Spectrum Disorder (NMOSD) are immune-mediated chronic inflammatory demyelinating diseases affecting the central nervous system (1, 2). There is an association between neuropsychiatric disorders and demyelinating diseases, which directly impacts the course of the disease as well as the quality of life. Neuropsychiatric pathologies usually appear during the course of the demyelinating diseases, but up to 1% of patients start with them (3). Previous studies have showed that neuropsychiatric features were present in 80 to 95% of MS patients (4). In NMOSD the presence of neuropsychiatric comorbidities is also frequent a systematic review has demonstrated that the prevalence of depression and anxiety is 40–45%, respectively (5). However, evidence from LATAM is scarce. One study from Argentina has demonstrated that the prevalence of psychiatric comorbidities is higher in NMOSD than in MS patients (6, 7).

Anxiety and depression are frequent in MS patients, a meta-analysis showed that the prevalence of these disorders were 22 and 30%, respectively. According to the DSM-5, depression is characterized by “persistent low mood, lack of positive affect, and loss of interest in normally pleasant activities, usually for more than 2 weeks,” while that generalized anxiety disorder is an “excessive worry and anxiety that are difficult to control, causes anguish and significant deterioration, most of the days for at least 6 months.” These diseases generate inflammatory and degenerative changes that cause a variety of symptoms which compromise the self-care and independence of patients, it can affect social and work relationships (4, 8, 9). In NMOSD the prevalence of depression and anxiety is also frequent previous studies have showed a prevalence of 40 and 28%, respectively (10, 11). Bipolar Disorder is less common in MS and NMOSD, however, the prevalence is twice that of the general population (12).

Regarding the prevalence of drug abuse in patients with demyelinating diseases, it is low between 2.5 to 7.4%. One example is the cannabis consumption in MS patients in order to control spasticity, pain, tremor and bladder dysfunction. Alcohol abuse is also infrequent in MS patients (3.9 to 18.2%) (4). In LATAM few studies have evaluated the presence of neuropsychiatric disorders in demyelinating diseases and in Ecuador there are no reports on psychiatric comorbidities in MS and NMOSD (6, 13). For this reason, the objective of this study is to establish the prevalence of neuropsychiatrist disorders in an Ecuadorian cohort of patients with demyelinating disorders and its relationship with age and disability.

2 Methods

2.1 Clinical and demographic assessment

A cross-sectional and descriptive study was carried out at Carlos Andrade Marín Hospital in the city of Quito, Ecuador, which is a referral center for patients with MS and NMOSD. Currently, 60% of patients with MS and 70% of patients with NMOSD diagnosed in Ecuador are attended at this center. We enrolled MS and NMOSD patients who met the 2017 McDonald criteria and 2015 international consensus criteria, respectively. We did not include patients with myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) as we do not have resources for testing antibodies against myelin oligodendrocyte glycoprotein (MOG).

Demographic data including gender, age and years of education was collected. All patients were offered detailed clinical assessment including rating of disability on the Expanded Disability Status Scale (EDSS). According EDSS, we define mild disability when EDSS was <3,5, moderate disability with EDSS between 4 to 6 and severe disability when EDSS was >6,5 (14).

2.2 Mood disorder evaluation

In order to establish the diagnoses of anxiety and depression, the Hamilton Depression Rating Scale (HDRS) and the Beck Depression Inventory (BDI) scales were completed. The Hamilton Anxiety Scale (15), evaluates 14 points: anxious mood, tension, fears, insomnia, intellect, depressed mood, muscular discomfort, sensory discomfort, cardiovascular, respiratory, gastrointestinal, genitourinary, autonomic symptoms, and interview behavior with a total score ranging from 0 to 56. A score of 0 to 5 indicates absence of anxiety, 6 to 14 mild anxiety, and equal to or higher than 15 moderate/severe anxiety.

The Beck Depression Inventory (BDI-II) consists of 21 questions with a total score ranging from 0 to 40. A score of 0 to 9 points means that the patient does not present depression, 10 to 18 points is mild depression, 19 to 29 points moderate depression, and equal to or higher than 30 points is severe depression (16). The Hamilton Anxiety Scale and BDI-II scales have been previously validated in Ecuador (17, 18).

Regarding to the evaluation of bipolar disorder, the Beck Depression Scale (BDI-II) was applied, which was previously discussed; in addition, the Mini International Neuropsychiatric Interview (MINI) scale was used, an instrument used to confirm neuropsychiatric diagnoses and to evaluate the patient’s current symptoms (19). It is carried out through a structured interview of short duration, approximately 15 min, which evaluates the main psychiatric disorders; this has been updated with a new module to assess the specifier with mixed features for manic and hypomanic episodes of the DSM-V, divided into 16 modules, specifically, the modules for major depressive episode, psychotic disorders and manic/hypomanic disorders were used. The MINI scale was previously validated in the city of Quito-Ecuador with the Gamboa-Proaño study (20).

Additionally, the Bipolar Disorder Course Assessment Scale (CGI-BP-M Scale) was used, which is composed of three subscales, two of which assess the severity of acute symptoms of mania and depression; the third assesses the longitudinal severity of the disease, giving a score of 1 to 7, where 1 is normal and 7 is very severe (21), this scale validated in the Ecuadorian population previously (22).

The Suicidal Orientation Inventory (ISO-30 scale) was used to assess suicide risk (23), which was designed by King and Kowalchuk in 1994, it consists of 30 items that offer three categories, low suicidal risk (less than 30 points), moderate risk (31–44 points) and high suicidal risk (greater than 45 points). The ISO-30 Scale was also validated in Ecuador (24).

The psychiatric measures were administered by trained psychologists. Assessments were undertaken individually with each participant and lasted approximately 20 min.

All participants were more than 18 years and provided informed consent. The study was reviewed and approved by the Ethics Committee.

2.3 Statistical analysis

We created a data base which contained demographics, disability, clinical type, and treatment. Data were analyzed in a descriptive manner by measuring central tendency and dispersion [confidence interval (CI) and standard deviation (SD)]. We used proportions for the analysis of categorical variables. Comparisons between categorical variables were made by chi-square contingencies tables and the Fisher exact test of significance. Comparison of anxiety and depression scores between NMO and MS groups was undertaken using independent samples t-test. We used non-parametric test (Kruskal-Wallis) for comparisons between quantitative variables with non-normal distribution. All data analysis was carried out through the statistical program Microsoft Excel and the SPSS (Statistical Package for the Social Science) software.

3 Results

3.1 Clinical and demographic characteristics

One hundred fifty-one patients with demyelinating disorders have completed the assessments, 117 of them had MS and 34 NMOSD. The clinical and demographic characteristics are presented in Table 1. In MS, the female sex and the mestizo ethnic group were more frequent affected. The average age was 42.3 years. The average of EDSS was 2.5 (SD +/− 1.95), mild disability predominated in 64.96% (n = 76/117). In NMOSD, female sex and mestizo ethnic group were also more frequent affected. In contrast with MS, the average age was 49.8 years and the average of EDSS was 4.23 (SD +/− 1.73), moderate disability predominated in 61.76% (n = 21/34).

Table 1
www.frontiersin.org

Table 1. Socio-demographic characteristics of MS and NMOSD patients.

When we compared demographic characteristics between MS and NMOSD patients, we found that there were not white NMOSD patients (p = 0.03), the age average was higher in NMOSD than in MS (p = 0.02), the education level was higher in MS than NMOSD (0.007). The disability was lower in MS than NMOSD (p = 0.004), the severe disability was more frequent in NMOSD than MS (p = 0.001).

3.2 Neuropsychiatric pathologies associated with MS and NMOSD

Result of the structured psychiatrics interviews are presented in Table 2. In general, the prevalence of neuropsychiatric disorders in the both diseases were high, 70.9% (n = 83/117) in MS and 85.29% (n = 29/34) in NMOSD. Moderate and severe anxiety was more frequent in NMOSD patients than in MS patients (p = 0.003). The frequency of depression was similar between the both pathologies.

Table 2
www.frontiersin.org

Table 2. Neuropsychiatric pathologies associated with MS and SNMOSD.

Regarding to MS patients, 33.3% (n = 39/117) of them presented mild anxiety, while 30.7% (n = 36/117) presented moderate/severe anxiety. Fifty-six percent of MS patients had depression, 31.62% (n = 37/117) showed mild depression, while 5.98% had severe depression (n = 7/117). Less than 1% suffered from chronic alcoholism. Borderline personality disorder, social phobia, insomnia and bipolar disorder were infrequent in this cohort.

In NMOSD patients, 58.8% (n = 20/34) had moderate/severe anxiety. Twenty-six percent did not have depression, 47% (n = 16/34) presented mild depression while 11.7% of NMOSD patients had severe depression (n = 4/34). Chronic alcoholism, social phobia, insomnia, and bipolar disorder were infrequent in this cohort.

3.3 Neuropsychiatric pathologies in relation to age groups

In MS, the largest number of cases with mild and moderate anxiety were between 41–50 years. Depression also predominated in the same age. In NMOSD, the majority of psychiatric comorbidities were found also between the ages of 41 to 50 years. However, no statistically significant differences were found in relation to age groups in any of the categories (Table 3).

Table 3
www.frontiersin.org

Table 3. Neuropsychiatric disorders in relation to age groups.

3.4 Neuropsychiatric disorders in relation to the degree of disability

Regarding to MS, neuropsychiatric disorders predominated in patients with mild disability, anxiety was presented in 41% (n = 48/117), follow by depression in 34% (n = 40/117). In NMOSD, psychiatric comorbidities were presented in patients with moderate disability, anxiety in 50% (n = 17/34), follow by depression in 61.7% (n = 21/34). However, no statistically significant differences were found in relation to the degree of disability in any of the categories (Table 4).

Table 4
www.frontiersin.org

Table 4. Neuropsychiatric disorders in relation to the degree of disability.

4 Discussion

This is the first study on psychiatric disorders in Ecuadorian patients with demyelinating disorders through the use a well-validated structured psychiatric interview. In general, we found that the most frequent neuropsychiatric pathology in both MS and NMOSD was anxiety followed by depression. The presence of neuropsychiatric disorders in demyelinating diseases such as MS and NMOSD can accelerate the progression of the disease, increase hospitalizations and reduce the ability to cope with its physical symptoms, therefore the treatment of these disorders involves a multidisciplinary approach that includes medical treatment, psychological and psychiatric support.

The prevalence of psychogenic or functional disorders may be common in Neurology, there may be a tendency to over diagnoses of these disorders in patients who suffer from demyelinating diseases, therefore it is important to correctly evaluate the patient during the first year that they have been diagnosed so that they receive appropriate care. Appropriate psychological and psychiatric treatment if required and can be treated in time (25).

The presence of anxiety in MS patients is variable, in our study we found a frequency of 70%. However, our previous report we found a lower prevalence (25%) (26). A meta-analysis also found a lower prevalence of anxiety in MS patients with 22% (9). A possible explanation of this variable frequency is based on the test that were used which is not the same between the studies. In our study, it is important to note that the frequency of moderate and severe anxiety was higher in NMOSD in comparison with MS (82% vs. 70% respectively). Ziyan Shi et al. (27) demonstrated that 68% of the NMOSD patients had anxiety. In contrast, a previous study from Unite Kingdom showed that anxiety was presented in 13% of the patients in MS and 8% in NMOSD and possible explanation of this difference is the size of the sample which was small (5).

In our study we found that depression was frequent in both MS and NMOSD with 31.6 and 47% respectively, these data are very similar to other reports around the word. Moore et al. (5) demonstrated that lifetime prevalence of depression was 46 and 34% for MS and NMOSD, respectively. Fernández et al. (6) showed in patients from Argentina that mild depression predominated in both diseases MS and NMOSD with 30 and 11%, respectively. Similarly, Ayzenberg et al. (10) showed in 166 NMOSD patients that depression was present in 39.8%; 19.3% of them presented mild depression, 11.6% moderate depression and 7.8% severe depression. Ziyan et al. (27) demonstrated in 73 NMOSD patients that depression was present in 25%. Finally, in the Brazilian study carried out by Mendes et al. The frequency of depressive and anxiety symptoms in patients with relapsing–remitting Multiple Sclerosis (RRMS) was 17.9 and 34.5% respectively; these studies found a positive correlation between the degree of depression and disability (28). The prevalence of depression in MS our study is very similar in comparison with Ecuadorian type II diabetes mellitus (DM) patients in which one study found a prevalence of depression of 31.7%. In contrast in NMOSD patients the prevalence of depression in our study was higher than type II DM patients (47% vs. 33.7%). It can be explained by the severity of disability that NMOSD produces (29).

The areas of the brain that are associated with organic depression are the prefrontal area, the hippocampus, the limbic system, which are preserved in NMOSD, in the case of MS there are lesions at the level of the gray matter and these areas are correlated with depression. Longer disease duration was associated with higher levels of agoraphobia, somatization in the case of NMOSD, while in MS patients it was associated with higher levels of depression, anxiety, panic attacks, phobia, obsessive-compulsive disorder, of post-traumatic stress, paranoia, suicide (30, 31). In our study, patients with a longer duration of illness were associated with anxiety and depression.

It should be noted that the prevalence of suicide is higher in patients with demyelinating diseases that in general population. Fernández et al. (6) showed that 30% of NMOSD patients had attempted suicide at least once during the course of the disease. In our study we found that the prevalence of attempted suicide in NMOSD was lower (5.9%) in comparison with the study of Fernandez. It is important to note that in our study we did not find suicide attempt in MS patients. A British study has showed that attempted suicide was more frequent in NMOSD than in MS patients (41% vs. 5% respectively) (5). A study from China which included 569 NMOSD patients showed that 8.3% of them died by suicide due to depression caused by severe attacks or sustained disability (32). There is not a clear explanation why the frequency of attempted suicide was low in our patients in comparison with data from other studies. In a previous study from Ecuador found that male, adolescents and low education was associated with attempted suicide these findings were not present in our cohort. In addition, in Ecuador suicide is frequent in rural areas and provinces of amazon region these contrast with our MS and NMOSD patients which come from urban areas and the majority living in Quito a city of Sierra region (33) Finally, although international studies report the prevalence of psychotic symptoms in MS and NMOSD at around 0.41 to 7.46%, in our study no cases were found in the two demyelinating diseases (4).

The prevalence of drug abuse in patients with demyelinating disorders is from 2.5 to 7.4%, the main drug abuse is related to the use of cannabis to control neurological symptoms. However, no cases were identified in our patients (6). In the case of alcohol abuse, the prevalence is higher in comparison with drug abuse between 3.9 to 18.2% in MS (6), in our patients we found alcohol abuse in 0.8 and 5.9% for MS and NMOSD respectively, indicating a low prevalence of consumption of these substances and very similar to reported in other studies.

In this study, statistically significant associations between neuropsychiatric disorders based on age and degree of disability were not found, although it should be noted that the largest number of cases was found in patients between the ages of 41 and 50, both in MS and in NMOSD. No significant association was found between the higher degree of disability and the increase in neuropsychiatric disorders such as anxiety or depression. Silvera et al. (4) demonstrated in 205 patients with MS a statistically significant association between depression, anxiety and EDSS disability and disease course in both RRMM and SPMS.

Bipolar disorder in patients with NMOSD is a complex issue, since both conditions can influence each other, either due to the direct effects of the disease on the central nervous system or derived from the use of chronic treatments. In predisposed patients, the use of drugs can trigger manic or hypomanic episodes. In our study, bipolar disorder occurred in 1.7% of patients with MS and 2.9% with NMOSD, borderline personality disorder in 0.9% in MS. Chavarro, et al. stated that the level of somatic symptoms was higher in patients with NMOSD; likewise, somatization was statistically significantly associated with depression in these patients (34, 35).

Finally, our study has a number of limitations. Our patients are come from a clinical population attending a specialist neurosciences hospital rather than from a community which places limitations on the generalizability of our data. NMOSD is a rare condition around the word it is the reason why the main challenge is to achieve large sample sizes that would increase confidence in the finding. Finally, our examination of neuropsychiatric symptoms was largely exploratory and involved comparison of a number of variables. Future research in MS and NMOSD patients from LATAM might usually examine specific aspects of mood disorders in this population.

To conclude in our study, we found a high prevalence of neuropsychiatric disorders in a cohort of Ecuadorian patients with demyelinating diseases especially anxiety and depression, the frequency was higher in NMOSD than MS. While the prevalence of suicide was low in our study and very similar to reported in other studies, more studies are necessary specifically in NMOSD an uncommon disease in which there are not enough mood disorders studies.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by Comite de Etica de Investigacion de Seres Humanos del Hospital Carlos Andrade Marin. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author contributions

EC-D: Conceptualization, Formal analysis, Methodology, Writing – original draft, Writing – review & editing. RJ: Formal analysis, Investigation, Methodology, Resources, Writing – review & editing. JR: Writing – original draft. PM: Data curation, Project administration, Writing – original draft.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Correa, P, Jácome, C, Torres, E, Germaine, H, Zumba, B, Altamirano, MJ, et al. El Perfil Epidemiológico Y Clínico De La Esclerosis Múltiple En El Ecuador. Rev Ecuat Neurol. (2019) 28:59–70.

Google Scholar

2. ATLAS of MS. The multiple sclerosis international federation – atlas of MS – 3rd edition, part 2: clinical management of multiple sclerosis around the world. Federación Internacional de Esclerosis Múltiple (MSIF). (2021). Available online at: https://www.atlasofms.org/chart/ecuador/epidemiology/disease-course-at-onset (Accessed April 9, 2022).

Google Scholar

3. Avellanal Zaballa, L, and Ortiz, JA. Psychiatric disorders in multiple sclerosis. Asociación de Salud Mental y Psiquiatría Comunitaria. (2018) 15:53–8.

Google Scholar

4. Silveira, C, Guedes, R, Maia, D, Curral, R, and Coelho, R. Neuropsychiatric symptoms of multiple sclerosis: state of the art. Psychiatry Investig. (2019) 16:877–88. doi: 10.30773/pi.2019.0106

PubMed Abstract | Crossref Full Text | Google Scholar

5. Moore, P, Methley, A, Pollard, C, Mutch, K, Hamid, S, Elsone, L, et al. Cognitive and psychiatric comorbidities in neuromyelitis optica. J Neurol Sci. (2016) 360:4–9. doi: 10.1016/j.jns.2015.11.031

PubMed Abstract | Crossref Full Text | Google Scholar

6. Fernández, VC, Alonso, N, Melamud, L, and Villa, AM. Psychiatric comorbidities and suicidality among patients with neuromyelitis optica spectrum disorders in Argentina. Mult Scler Relat Disord. (2018) 19:40–3. doi: 10.1016/j.msard.2017.11.002

PubMed Abstract | Crossref Full Text | Google Scholar

7. Gobbi, C, Rocca, MA, Riccitelli, G, Pagani, E, Messina, R, Preziosa, P, et al. Influence of the topography of brain damage on depression and fatigue in patients with multiple sclerosis. Mult Scler. (2014) 20:192–201. doi: 10.1177/1352458513493684

PubMed Abstract | Crossref Full Text | Google Scholar

8. Diez-Canseco, F, Ipince, A, Toyama, M, Benate-Galvez, Y, Galán-Rodas, E, Medina-Verástegui, JC, et al. Atendiendo la salud mental de las personas con enfermedades crónicas no transmisibles en el Perú: retos y oportunidades para la integración de cuidados en el primer nivel de atención. Rev Peru Med Exp Salud Publica. (2014) 31:131–136.

Google Scholar

9. Boeschoten, RE, Braamse, AMJ, Beekman, ATF, Cuijpers, P, van Oppen, P, Dekker, J, et al. Prevalence of depression and anxiety in multiple sclerosis: a systematic review and meta-analysis. J Neurol Sci. (2017) 372:331–41. doi: 10.1016/j.jns.2016.11.067

Crossref Full Text | Google Scholar

10. Ayzenberg, I, Richter, D, Henke, E, Asseyer, S, Paul, F, Trebst, C, et al. Pain, depression, and quality of life in neuromyelitis optica spectrum disorder: a cross-sectional study of 166 AQP4 antibody-seropositive patients. Neurol Neuroimmunol Neuroinflamm. (2021) 8:985. doi: 10.1212/NXI.0000000000000985

PubMed Abstract | Crossref Full Text | Google Scholar

11. Miao, XHSZ, Chen, HXZH, and Yang, R. Anxiety and depression in patients with Neuromyelitis Optica. Sichuan Da Xue Xue Bao Yi Xue Ban. (2017) 48:900–4.

Google Scholar

12. Murphy, R, O’Donoghue, S, Counihan, T, McDonald, C, Calabresi, PA, Ahmed, MAS, et al. Neuropsychiatric syndromes of multiple sclerosis. J Neurol Neurosurg Psychiatry. (2017) 88:697–708. doi: 10.1136/jnnp-2016-315367

Crossref Full Text | Google Scholar

13. Zambrano, FJC, Díaz, EPC, Pachacama, WAG, and Zambrano, JEM. Perfil clínico y epidemiológico de los pacientes con diagnóstico de neuromielitis óptica. Revista Médica-Científica CAMbios HECAM. (2021) 20:33–8.

Google Scholar

14. Kurtzke, JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. (1983) 33:1444–52. doi: 10.1212/WNL.33.11.1444

PubMed Abstract | Crossref Full Text | Google Scholar

15. Hamilton, M. The assessment of anxiety states by rating. Br J Med Psychol. (1959) 32:50–5. doi: 10.1111/j.2044-8341.1959.tb00467.x

PubMed Abstract | Crossref Full Text | Google Scholar

16. González, DA, Reséndiz Rodríguez, A, Reyes-Lagunes, I, González, DA, Reséndiz Rodríguez, A, and Reyes-Lagunes, I. Adaptation of the BDI-II in Mexico. Salud Ment. (2015) 38:237–44. doi: 10.17711/SM.0185-3325.2015.033

Crossref Full Text | Google Scholar

17. Prado Cueva, K, Pontón Gaona, ME, Quinche Suquilanda, AM, and Moreno Ortega, EM. Validación del test de Hamilton para determinar síndrome depresivo en Loja – Ecuador, 2018—Rev Electron Portales Med Universidad Nacional de Loja. (2018). Available online at: https://www.revista-portalesmedicos.com/revista-medica/validacion-del-test-de-hamilton-para-determinar-sindrome-depresivo-en-loja-ecuador-2018/ (Accessed January 16, 2023).

Google Scholar

18. Castro, PDA, and Ortega, CGQ. Adaptación y propiedades psicométricas del inventario de depresión de beck (bdi-ii) en adolescentes ecuatorianos. South Florida J Dev. (2021) 2:7271–88. doi: 10.46932/sfjdv2n5-068

Crossref Full Text | Google Scholar

19. Hergueta, T, and Weiller, E. Evaluating depressive symptoms in hypomanic and manic episodes using a structured diagnostic tool: validation of a new mini international neuropsychiatric interview (M.I.N.I.) module for the dsm-5 “with mixed features” specifier. Int J Bipolar Disord. (2013) 1:1–10. doi: 10.1186/2194-7511-1-21

Crossref Full Text | Google Scholar

20. Gamboa-Proaño, M, Castro-Alzate, ES, Bustos, C, Grandón, FP, Saldivia, S, Gamboa-Proaño, M, et al. Evaluación de la discapacidad en población con trastornos mentales graves atendida en el Distrito Metropolitano de Quito (Ecuador). Rev Cienc Salud. (2021) 19:32–52.

Google Scholar

21. Vieta, PE, Torrent, FC, Martínez, AA, Colom, VF, Reinares, GM, Benabarre, HA, et al. Escala sencilla de evaluación del curso del trastorno bipolar: CGI-BP-M. Actas Esp Psiquiatr. (2002) 30:301–4.

Google Scholar

22. López, CNC, Vinueza, LYA, and Rivadeneira, JE. Terapia hiperbárica complementaria en trastorno bipolar, Universidad Técnica del Norte, 2022: reporte de caso. Mediciencias UTA. (2024) 8:129–37. doi: 10.31243/mdc.uta.v8i2.2435.2024

Crossref Full Text | Google Scholar

23. Fernández Liporace, M, and Casullo, MM. Validación factorial de una escala para evaluar riesgo suicida. Revista iberoamericana de diagnóstico y evaluación psicológica. (2006) 1:2183–6051.

Google Scholar

24. Pomavilla, MAC, and Calle, JVQ. Riesgo suicida en universitarios de la carrera de Enfermería. Killkana Salud y Bienestar. (2018) 2:29–36. doi: 10.26871/killcana_salud.v2i1.230

Crossref Full Text | Google Scholar

25. Eliasen, A, Dalhoff, KP, and Horwitz, H. Neurological diseases and risk of suicide attempt: a case–control study. J Neurol. (2018) 265:1303–9. doi: 10.1007/s00415-018-8837-4

PubMed Abstract | Crossref Full Text | Google Scholar

26. Correa Diaz, EP, and Ortiz Yepez, A. The clinical and epidemiological spectrum of multiple sclerosis in Quito, Ecuador. J Neurol Disord. (2016) 4. doi: 10.4172/2329-6895.1000312

Crossref Full Text | Google Scholar

27. Shi, Z, Chen, H, Lian, Z, Liu, J, Feng, H, and Zhou, H. Factors that impact health-related quality of life in neuromyelitis optica spectrum disorder: anxiety, disability, fatigue and depression. J Neuroimmunol. (2016) 293:54–8. doi: 10.1016/j.jneuroim.2016.02.011

PubMed Abstract | Crossref Full Text | Google Scholar

28. De Cerqueira, AC, Semionato De Andrade, P, Godoy Barreiros, JM, Teixeira, AL, and Nardi, AE. Psychiatric disorders in patients with multiple sclerosis. Compr Psychiatry. (2015) 63:10–4. doi: 10.1016/j.comppsych.2015.08.001

PubMed Abstract | Crossref Full Text | Google Scholar

29. Cárdenas, L, Cabezas, MDC, Muñoz, A, Proaño, JL, Miño, C, and Aguirre, N. Prevalence and risk factors of depression, anxiety, and stress in an Ecuadorian outpatient population with type II diabetes mellitus: a cross-sectional study (STROBE). Medicine. (2022) 101:e30697. doi: 10.1097/MD.0000000000030697

PubMed Abstract | Crossref Full Text | Google Scholar

30. Chwastiak, LA, and Ehde, DM. Psychiatric issues in multiple sclerosis. Psychiatr Clin N Am. (2007) 30:803–17. doi: 10.1016/j.psc.2007.07.003

PubMed Abstract | Crossref Full Text | Google Scholar

31. Shin, JS, Kwon, YN, Choi, Y, Lee, JY, Lee, YI, Hwang, JH, et al. Comparison of psychiatric disturbances in patients with multiple sclerosis and neuromyelitis optica. Medicine. (2019) 98:184. doi: 10.1097/MD.0000000000017184

PubMed Abstract | Crossref Full Text | Google Scholar

32. Du, Q, Shi, Z, Chen, H, Zhang, Y, Wang, J, Qiu, Y, et al. Mortality of neuromyelitis optica spectrum disorders in a Chinese population. Ann Clin Transl Neurol. (2021) 8:1471–9. doi: 10.1002/acn3.51404

PubMed Abstract | Crossref Full Text | Google Scholar

33. Lapo-Talledo, GJ, Talledo-Delgado, JA, Portalanza, D, Rodrigues, ALS, and Siteneski, A. Suicide rates in Ecuador: a nationwide study from 2011 until 2020. J Affect Disord. (2023) 320:638–46. doi: 10.1016/j.jad.2022.09.167

PubMed Abstract | Crossref Full Text | Google Scholar

34. Chavarro, VS, Mealy, MA, Simpson, A, Lacheta, A, Pache, F, Ruprecht, K, et al. Insufficient treatment of severe depression in neuromyelitis optica spectrum disorder. Neurol Neuroimmunol Neuroinflamm. (2016) 3:e286. doi: 10.1212/NXI.0000000000000286

PubMed Abstract | Crossref Full Text | Google Scholar

35. Ebadi, Z, Saeedi, R, Hashemi, SN, Gheini, MR, Sahraian, MA, and Naser, MA. Evaluation of types of psychological disorders in patients with neuromyelitis optica spectrum disorder (NMOSD). Mult Scler Relat Disord. (2020) 42:102128. doi: 10.1016/j.msard.2020.102128

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: multiple sclerosis, optical neuromyelitis, neuropsychiatric disorders, anxiety, depression, psychosis, bipolar disorder

Citation: Correa-Díaz EP, Jimbo Sotomayor R, Romero JRP and Merino Aguilera PA (2025) Neuropsychiatric disorders among Ecuadorian patients with multiple sclerosis and neuromyelitis optica spectrum disorder. Front. Neurol. 16:1587804. doi: 10.3389/fneur.2025.1587804

Received: 05 March 2025; Accepted: 26 June 2025;
Published: 11 July 2025.

Edited by:

Francesco Patti, University of Catania, Italy

Reviewed by:

Bilal Ersen Kerman, University of Southern California, United States
Victor M. Rivera, Baylor College of Medicine, United States

Copyright © 2025 Correa-Díaz, Jimbo Sotomayor, Romero and Merino Aguilera. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Edgar Patricio Correa-Díaz, cGF0b2NvcnJlYTIwMTBAeWFob28uY29t

ORCID: Edgar Patricio Correa Díaz, orcid.org/0000-0001-6363-8886
Ruth Jimbo Sotomayor, orcid.org/0000-0001-5016-3834
Jorge Rubén Pilco Romero, orcid.org/0009-0008-2899-4277
Patricio Alexander Merino Aguilera, orcid.org/0000-0002-0638-0628

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.