The evolution of views on mental disorders in patients with syphilis

Чумаков, Егор; Петрова, Н. Н.; Smirnova, I. O.

doi:10.17116/klinderma20191801171

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…The relationship between severe infection and specific psychiatric syndromes remains to be explored. Back in the early days of psychiatry as a medical specialty, solving similar problems associated with syphilis and progressive paralysis took more than 100 years ( 25 ). Computational psychiatry is considered a promising methodology for assessing complex clinical events with a large number of factors and predictors that can lead to ambiguous clinical conditions in patients ( 26 , 27 ).…”

Section: Introductionmentioning

confidence: 99%

Mental State of Inpatients With COVID-19: A Computational Psychiatry Approach

et al. 2022

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BackgroundThe overload of healthcare systems around the world and the danger of infection have limited the ability of researchers to obtain sufficient and reliable data on psychopathology in hospitalized patients with coronavirus disease 2019 (COVID-19). The relationship between severe acute respiratory syndrome with the coronavirus 2 (SARS-CoV-2) infection and specific mental disturbances remains poorly understood.AimTo reveal the possibility of identifying the typology and frequency of psychiatric syndromes associated with acute COVID-19 using cluster analysis of discrete psychopathological phenomena.Materials and MethodsDescriptive data on the mental state of 55 inpatients with COVID-19 were obtained by young-career physicians. Classification of observed clinical phenomena was performed with k-means cluster analysis of variables coded from the main psychopathological symptoms. Dispersion analysis with p level 0.05 was used to reveal the clusters differences in demography, parameters of inflammation, and respiration function collected on the basis of the original medical records.ResultsThree resulting clusters of patients were identified: (1) persons with anxiety; disorders of fluency and tempo of thinking, mood, attention, and motor-volitional sphere; reduced insight; and pessimistic plans for the future (n = 11); (2) persons without psychopathology (n = 37); and (3) persons with disorientation; disorders of memory, attention, fluency, and tempo of thinking; and reduced insight (n = 7). The development of a certain type of impaired mental state was specifically associated with the following: age, lung lesions according to computed tomography, saturation, respiratory rate, C-reactive protein level, and platelet count.ConclusionAnxiety and/or mood disturbances with psychomotor retardation as well as symptoms of impaired consciousness, memory, and insight may be considered as neuropsychiatric manifestations of COVID-19 and should be used for clinical risk assessment.

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Section: Introductionmentioning

confidence: 99%

Mental State of Inpatients With COVID-19: A Computational Psychiatry Approach

et al. 2022

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“…The relationship between severe infection and specific psychiatric syndromes remains to be explored. Back in the early days of psychiatry as a medical specialty, solving similar problems associated with syphilis and progressive paralysis took more than 100 years [24]. Computational psychiatry is considered a promising methodology for assessing complex clinical events with a large number of factors and predictors that can lead to ambiguous clinical conditions in patients [25,26].…”

Section: Introductionmentioning

confidence: 99%

Mental State of Inpatients with COVID-19: a Computational Psychiatry Approach

Sorokin¹,

Kibitov²,

Kasyanov

et al. 2021

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The overload of healthcare systems around the world and the danger of infection have limited the ability of researchers to obtain sufficient and reliable data on psychopathology in hospitalized patients with COVID-19. The relationship between severe SARS-CoV-2 infection and specific mental disturbances remains poorly understood. Aim: to reveal the possibility of identifying the typology and frequency of psychiatric syndromes associated with acute COVID-19 using cluster analysis of discrete psychopathological phenomena. Materials and methods. Descriptive data on the mental state of 55 inpatients with COVID-19 were obtained by young-career physicians with psychiatric backgrounds. Classification of observed clinical phenomena was performed with k-means cluster analysis of variables codded from the main psychopathological symptoms. Dispersion analysis with p-level 0.05 was used to reveal the clusters differences in demography, parameters of inflammation and respiration function collected on the basis of the original medical records. Results. Three resulting clusters of patients were identified: persons with anxiety, disorders of fluency and tempo of thinking, mood, attention, motor-volitional sphere, reduced insight, and pessimistic plans for the future (n=11); persons without psychopathology (n=37); persons with disorientation, disorders of memory, attention, fluency, and tempo of thinking, reduced insight (n=7). The development of a certain type of impaired mental state was specifically associated with: age, lung lesions according to computed tomography, saturation, respiratory rate, C-reactive protein level, platelet count. Conclusion. The prevalence and typology of psychiatric disorders in patients with acute COVID-19 were described using the computational psychiatry approach.

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The evolution of views on mental disorders in patients with syphilis

Cited by 2 publications

References 21 publications

Mental State of Inpatients With COVID-19: A Computational Psychiatry Approach

Mental State of Inpatients With COVID-19: A Computational Psychiatry Approach

Mental State of Inpatients with COVID-19: a Computational Psychiatry Approach

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