0000000000002668

AUTHOR

Margarita Cigarán-méndez

showing 8 related works from this author

Mathematical Modeling for Neuropathic Pain: Bayesian Linear Regression and Self-Organizing Maps Applied to Carpal Tunnel Syndrome

2020

A better understanding of the connection between risk factors associated with pain and function may assist therapists in optimizing therapeutic programs. This study applied mathematical modeling to analyze the relationship of psychological, psychophysical, and motor variables with pain, function, and symptom severity using Bayesian linear regressions (BLR) and self-organizing maps (SOMs) in carpal tunnel syndrome (CTS). The novelty of this work was a transfer of the symmetry mathematical background to a neuropathic pain condition, whose symptoms can be either unilateral or bilateral. Duration of symptoms, pain intensity, function, symptom severity, depressive levels, pinch tip grip force, a…

medicine.medical_specialtyPhysics and Astronomy (miscellaneous)General Mathematicscarpal tunnel syndromeself-organizing maps03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationLinear regressionComputer Science (miscellaneous)MedicineCarpal tunnel030212 general & internal medicineCarpal tunnel syndromeRadial nervebusiness.industrylcsh:Mathematicsmathematical modelingmedicine.diseaselcsh:QA1-939Median nerveIntensity (physics)medicine.anatomical_structurePsicologiaEstadística bayesianaChemistry (miscellaneous)Neuropathic painbusinessBayesian linear regressionBayesian linear regression030217 neurology & neurosurgerySymmetry
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Spectral Clustering Reveals Different Profiles of Central Sensitization in Women with Carpal Tunnel Syndrome

2021

Identification of subgroups of patients with chronic pain provides meaningful insights into the characteristics of a specific population, helping to identify individuals at risk of chronification and to determine appropriate therapeutic strategies. This paper proposes the use of spectral clustering (SC) to distinguish subgroups (clusters) of individuals with carpal tunnel syndrome (CTS), making use of the obtained patient profiling to argue about potential management implications. SC is a powerful algorithm that builds a similarity graph among the data points (the patients), and tries to find the subsets of points that are strongly connected among themselves, but weakly connected to others.…

medicine.medical_specialtyCentral sensitizationPhysics and Astronomy (miscellaneous)General Mathematicscarpal tunnel syndromegroupssensitization03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationComputer Science (miscellaneous)QA1-939MedicineCarpal tunnelpain030212 general & internal medicineLead (electronics)Carpal tunnel syndromespectral clusteringbusiness.industryChronic painDones Malaltiesmedicine.diseaseSpectral clusteringIntensity (physics)medicine.anatomical_structureChemistry (miscellaneous)Hyperalgesiamedicine.symptombusiness030217 neurology & neurosurgeryMathematics
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Sleep disturbances in tension-type headache and migraine

2017

Current research into the pathogenesis of tension-type headache (TTH) and migraine is focused on altered nociceptive pain processing. Among the potential factors that influence sensitization mechanisms, emotional stress, depression, or sleep disorders all have an essential role: they increase the excitability of nociceptive firing and trigger hyperalgesic responses. Sleep disturbances and headache disorders share common brain structures and pathogenic mechanisms and TTH, migraine, and sleep disturbances often occur together; for example, 50% of individuals who have either TTH or migraine have insomnia. Moreover, insomnia and poor sleep quality have been associated with a higher frequency an…

medicine.medical_specialtyInsomniaReviewAffect (psychology)lcsh:RC346-42903 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationmedicineInsomnia030212 general & internal medicinelcsh:Neurology. Diseases of the nervous systemDepression (differential diagnoses)MigrainePharmacologySleep qualitybusiness.industryTension-Type HeadacheHeadachemedicine.diseaseSleep in non-human animalsPoor sleepNeurologyMigraineNeurology (clinical)Headachesmedicine.symptombusinessSleep030217 neurology & neurosurgery
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Patient Profiling Based on Spectral Clustering for an Enhanced Classification of Patients with Tension-Type Headache

2020

Profiling groups of patients in clusters can provide meaningful insights into the features of the population, thus helping to identify people at risk of chronification and the development of specific therapeutic strategies. Our aim was to determine if spectral clustering is able to distinguish subgroups (clusters) of tension-type headache (TTH) patients, identify the profile of each group, and argue about potential different therapeutic interventions. A total of 208 patients (n = 208) with TTH participated. Headache intensity, frequency, and duration were collected with a 4-week diary. Anxiety and depressive levels, headache-related burden, sleep quality, health-related quality of life, pre…

medicine.medical_specialtyPressure painPopulationgroupslcsh:Technologysensitizationlcsh:Chemistry03 medical and health sciences0302 clinical medicineQuality of lifePatient profilingInternal medicinemedicineGeneral Materials SciencepaineducationInstrumentationlcsh:QH301-705.5030304 developmental biologyFluid Flow and Transfer Processes0303 health scienceseducation.field_of_studyspectral clusteringSleep qualitybusiness.industrylcsh:TProcess Chemistry and TechnologyGeneral Engineeringtension-type headacheSpectral clusteringlcsh:QC1-999Computer Science ApplicationsPsicologialcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Anxietymedicine.symptombusinesslcsh:Engineering (General). Civil engineering (General)030217 neurology & neurosurgerylcsh:PhysicsApplied Sciences
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Is the association between health-related quality of life and fatigue mediated by depression in patients with multiple sclerosis? A Spanish cross-sec…

2018

OBJECTIVES: To determine the mediating effects of depression on health-related quality of life and fatigue in individuals with multiple sclerosis (MS). DESIGN: A cross-sectional study. SETTING: Tertiary urban hospital. PARTICIPANTS: One hundred and eight patients (54% women) with MS participated in this study. OUTCOME MEASURES: Demographic and clinical data (weight, height, medication and neurological impairment), fatigue (Fatigue Impact Scale), depression (Beck Depression Inventory-II) and health-related quality of life (Short-Form Health Survey 36) were collected. RESULTS: Fatigue was significantly associated with bodily pain, physical function, mental health and depression. Depression wa…

AdultMaleMultiple SclerosisCross-sectional studyPainPhysical functionTertiary Care Centers03 medical and health sciences0302 clinical medicinemedicineHumansIn patient030212 general & internal medicineLongitudinal Studies1506FatigueHealth related quality of lifePsychiatric Status Rating Scalesbusiness.industryDepressionMultiple sclerosisResearchGeneral MedicineMiddle Agedmedicine.diseaseMental healthBodily painCross-Sectional StudiesMental HealthNeurologyquality of lifeSpainQuality of LifeRegression Analysis1713Femalefatiguebusiness030217 neurology & neurosurgeryClinical psychologyUrban hospitalBMJ open
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Gender differences in variables associated with sleep quality in chronic tension type headache

2018

We aimed to evaluate gender differences in the relationships between headache features, sleep quality, anxiety, depressive symptoms, and burden of headache in 193 patients (73 percent women) with chronic tension type headache (CTTH). Sleep quality was assessed with the Pittsburgh Sleep Quality Index. Headache features were collected with a four-week diary. The Hospital Anxiety and Depression Scale was used to assess anxiety/depressive symptoms. Headache Disability Inventory was used to evaluate the burden of headache. In men with CTTH, sleep quality was positive correlated with headache frequency (r = 0.310; p = .018), emotional (r = 0.518; p < .001) and physical (r = 0.468; p < .001) burde…

AdultMalePain ThresholdSleep Wake Disordersmedicine.medical_specialtyChronic tension-type headachePainTension Type HeadacheAnxietyHospital Anxiety and Depression ScalePittsburgh Sleep Quality Index03 medical and health sciencesSex Factors0302 clinical medicinemedicineHumans030212 general & internal medicineDepressive symptomsSleep qualityDepressionbusiness.industryTension-Type HeadacheGenderGeneral MedicineMiddle AgedStepwise regressionDepressive SymptomsPoor sleepSleep QualityQuality of LifePhysical therapySleep DeprivationAnxietyFemalemedicine.symptomSleepbusiness030217 neurology & neurosurgeryWomen &amp; Health
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The number of symptoms at the acute COVID-19 phase is associated with anxiety and depressive long-term post-COVID symptoms: A multicenter study

2021

2019-20 coronavirus outbreakmedicine.medical_specialtyCoronavirus disease 2019 (COVID-19)SARS-CoV-2business.industrySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)COVID-19AnxietyAnxiety DisordersTerm (time)Psychiatry and Mental healthClinical PsychologyMulticenter studyInternal medicineHumansMedicineAnxietymedicine.symptombusinessLetter to the EditorJournal of Psychosomatic Research
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Data from: Is the association between health-related quality of life and fatigue mediated by depression in patients with multiple sclerosis? A Spanis…

2017

Objectives: To determine the mediating effects of depression on health-related quality of life and fatigue in individuals with multiple sclerosis (MS). Design: A cross-sectional study. Setting: Tertiary urban hospital. Participants: One hundred and eight patients (54% women) with MS participated in this study. Outcome measures: Demographic and clinical data (weight, height, medication, and neurological impairment), fatigue (Fatigue Impact Scale-FIS), depression (Beck Depression Inventory-BDI/II) and health-related quality of life (Short-Form Health Survey 36 - SF36) were collected. Results: Fatigue was significantly associated with bodily pain, physical function, mental health and depressio…

medicine and health careQuality of lifeMultiple SclerosisDepressionMedicinefatigueLife sciences
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