Risk assessment of psychiatric complications in infectious diseases: CALCulation of prognostic indices on example of COVID-19
IntroductionFactors such as coronavirus neurotropism, which is associated with a massive increase in pro-inflammatory molecules and neuroglial reactivity, along with experiences of intensive therapy wards, fears of pandemic, and social restrictions, are pointed out to contribute to the occurrence of...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1341666/full |
| _version_ | 1797307037158211584 |
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| author | Mikhail Sorokin Kirill Markin Artem Trufanov Artem Trufanov Artem Trufanov Mariia Bocharova Mariia Bocharova Dmitriy Tarumov Alexander Krasichkov Yulia Shichkina Dmitriy Medvedev Elena Zubova |
| author_facet | Mikhail Sorokin Kirill Markin Artem Trufanov Artem Trufanov Artem Trufanov Mariia Bocharova Mariia Bocharova Dmitriy Tarumov Alexander Krasichkov Yulia Shichkina Dmitriy Medvedev Elena Zubova |
| author_sort | Mikhail Sorokin |
| collection | DOAJ |
| description | IntroductionFactors such as coronavirus neurotropism, which is associated with a massive increase in pro-inflammatory molecules and neuroglial reactivity, along with experiences of intensive therapy wards, fears of pandemic, and social restrictions, are pointed out to contribute to the occurrence of neuropsychiatric conditions.AimThe aim of this study is to evaluate the role of COVID-19 inflammation-related indices as potential markers predicting psychiatric complications in COVID-19.MethodsA total of 177 individuals were examined, with 117 patients from a temporary infectious disease ward hospitalized due to COVID-19 forming the experimental group and 60 patients from the outpatient department showing signs of acute respiratory viral infection comprising the validation group. The PLR index (platelet-to-lymphocyte ratio) and the CALC index (comorbidity + age + lymphocyte + C-reactive protein) were calculated. Present State Examination 10, Hospital Anxiety and Depression Scale, and Montreal Cognitive Assessment were used to assess psychopathology in the sample. Regression and Receiver operating characteristic (ROC) analysis, establishment of cutoff values for the COVID-19 prognosis indices, contingency tables, and comparison of means were used.ResultsThe presence of multiple concurrent groups of psychopathological symptoms in the experimental group was associated (R² = 0.28, F = 5.63, p < 0.001) with a decrease in the PLR index and a simultaneous increase in CALC. The Area Under Curve (AUC) for the cutoff value of PLR was 0.384 (unsatisfactory). For CALC, the cutoff value associated with an increased risk of more psychopathological domains was seven points (sensitivity = 79.0%, specificity = 69.4%, AUC = 0.719). Those with CALC > 7 were more likely to have disturbances in orientation (χ² = 13.6; p < 0.001), thinking (χ² = 7.07; p = 0.008), planning ability (χ² = 3.91; p = 0.048). In the validation group, an association (R²McF = 0.0775; p = 0.041) between CALC values exceeding seven points and the concurrent presence of pronounced anxiety, depression, and cognitive impairments was demonstrated (OR = 1.52; p = 0.038; AUC = 0.66).DiscussionIn patients with COVID-19, the CALC index may be used for the risk assessment of primary developed mental disturbances in the context of the underlying disease with a diagnostic threshold of seven points. |
| first_indexed | 2024-03-08T00:51:32Z |
| format | Article |
| id | doaj.art-fd4b919aa2fe497d913dc03fc2eeecfc |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-03-08T00:51:32Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-fd4b919aa2fe497d913dc03fc2eeecfc2024-02-15T04:48:34ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402024-02-011510.3389/fpsyt.2024.13416661341666Risk assessment of psychiatric complications in infectious diseases: CALCulation of prognostic indices on example of COVID-19Mikhail Sorokin0Kirill Markin1Artem Trufanov2Artem Trufanov3Artem Trufanov4Mariia Bocharova5Mariia Bocharova6Dmitriy Tarumov7Alexander Krasichkov8Yulia Shichkina9Dmitriy Medvedev10Elena Zubova11Institute of Clinical Psychiatry, V.M.Bekhterev National Medical Research Centre for Psychiatry and Neurology, Saint Petersburg, RussiaPsychiatry Department, Kirov Military Medical Academy, Saint Petersburg, RussiaDepartment of Neurology and Manual Medicine of the Faculty of Postgraduate Education, Pavlov First Saint Petersburg State Medical University, Saint–Petersburg, RussiaNeurology Department, Kirov Military Medical Academy, Saint Petersburg, RussiaDepartment of Computer Science and Engineering, Saint-Petersburg Electrotechnical University “LETI”, Saint–Petersburg, RussiaInstitute of Clinical Psychiatry, V.M.Bekhterev National Medical Research Centre for Psychiatry and Neurology, Saint Petersburg, RussiaDepartment of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, United KingdomPsychiatry Department, Kirov Military Medical Academy, Saint Petersburg, RussiaRadio Engineering Systems Department, Saint-Petersburg Electrotechnical University “LETI”, Saint–Petersburg, RussiaDepartment of Computer Science and Engineering, Saint-Petersburg Electrotechnical University “LETI”, Saint–Petersburg, RussiaResearch Centre “Saint Petersburg Institute of Bioregulation and Gerontology”, Saint Petersburg, RussiaInstitute of Postgraduate Education, V.M.Bekhterev National Medical Research Centre for Psychiatry and Neurology, Saint Petersburg, RussiaIntroductionFactors such as coronavirus neurotropism, which is associated with a massive increase in pro-inflammatory molecules and neuroglial reactivity, along with experiences of intensive therapy wards, fears of pandemic, and social restrictions, are pointed out to contribute to the occurrence of neuropsychiatric conditions.AimThe aim of this study is to evaluate the role of COVID-19 inflammation-related indices as potential markers predicting psychiatric complications in COVID-19.MethodsA total of 177 individuals were examined, with 117 patients from a temporary infectious disease ward hospitalized due to COVID-19 forming the experimental group and 60 patients from the outpatient department showing signs of acute respiratory viral infection comprising the validation group. The PLR index (platelet-to-lymphocyte ratio) and the CALC index (comorbidity + age + lymphocyte + C-reactive protein) were calculated. Present State Examination 10, Hospital Anxiety and Depression Scale, and Montreal Cognitive Assessment were used to assess psychopathology in the sample. Regression and Receiver operating characteristic (ROC) analysis, establishment of cutoff values for the COVID-19 prognosis indices, contingency tables, and comparison of means were used.ResultsThe presence of multiple concurrent groups of psychopathological symptoms in the experimental group was associated (R² = 0.28, F = 5.63, p < 0.001) with a decrease in the PLR index and a simultaneous increase in CALC. The Area Under Curve (AUC) for the cutoff value of PLR was 0.384 (unsatisfactory). For CALC, the cutoff value associated with an increased risk of more psychopathological domains was seven points (sensitivity = 79.0%, specificity = 69.4%, AUC = 0.719). Those with CALC > 7 were more likely to have disturbances in orientation (χ² = 13.6; p < 0.001), thinking (χ² = 7.07; p = 0.008), planning ability (χ² = 3.91; p = 0.048). In the validation group, an association (R²McF = 0.0775; p = 0.041) between CALC values exceeding seven points and the concurrent presence of pronounced anxiety, depression, and cognitive impairments was demonstrated (OR = 1.52; p = 0.038; AUC = 0.66).DiscussionIn patients with COVID-19, the CALC index may be used for the risk assessment of primary developed mental disturbances in the context of the underlying disease with a diagnostic threshold of seven points.https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1341666/fullinflammationbiomarkers COVID-19SARS-CoV-2psychopathologyROC curve |
| spellingShingle | Mikhail Sorokin Kirill Markin Artem Trufanov Artem Trufanov Artem Trufanov Mariia Bocharova Mariia Bocharova Dmitriy Tarumov Alexander Krasichkov Yulia Shichkina Dmitriy Medvedev Elena Zubova Risk assessment of psychiatric complications in infectious diseases: CALCulation of prognostic indices on example of COVID-19 Frontiers in Psychiatry inflammation biomarkers COVID-19 SARS-CoV-2 psychopathology ROC curve |
| title | Risk assessment of psychiatric complications in infectious diseases: CALCulation of prognostic indices on example of COVID-19 |
| title_full | Risk assessment of psychiatric complications in infectious diseases: CALCulation of prognostic indices on example of COVID-19 |
| title_fullStr | Risk assessment of psychiatric complications in infectious diseases: CALCulation of prognostic indices on example of COVID-19 |
| title_full_unstemmed | Risk assessment of psychiatric complications in infectious diseases: CALCulation of prognostic indices on example of COVID-19 |
| title_short | Risk assessment of psychiatric complications in infectious diseases: CALCulation of prognostic indices on example of COVID-19 |
| title_sort | risk assessment of psychiatric complications in infectious diseases calculation of prognostic indices on example of covid 19 |
| topic | inflammation biomarkers COVID-19 SARS-CoV-2 psychopathology ROC curve |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1341666/full |
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