Оценка суицидального риска: новые решения «проклятых вопросов»

Автор: Любов Е.Б., Зотов П.Б.

Журнал: Суицидология @suicidology

Статья в выпуске: 2 (51) т.14, 2023 года.

Бесплатный доступ

В концептуальном обзоре отмечены методологические проблемы прогноза суицида, сильные и слабые стороны структурированных подходов определения факторов группового и индивидуального риска тяжёлых психически больных; указаны ограничения и перспективы развития в повседневной (отечественной) практике прогностических инструментов на примере. Oxford Mental Disease and Suicide tool (OxMIS).

Суицид, оценка риска, тяжелые психические расстройства, oxmis

Короткий адрес: https://sciup.org/140301920

IDR: 140301920   |   DOI: 10.32878/suiciderus.23-14-02(51)-22-35

Список литературы Оценка суицидального риска: новые решения «проклятых вопросов»

  • Mann J., Apter A., Bertolote J., et al. Suicide prevention strategies: a systematic review. JAMA. 2005; 294 (16): 2064-2074. DOI: 10.1001/jama.294.16.2064. PMID: 16249421
  • Knox K.L., Bajorska A., Feng C., et al. Survival analysis for observational and clustered data: an application for assessing individual and environmental risk factors for suicide. Shanghai Arch Psychiatry. 2013; 25: 183-194. DOI: 10.3969/j.issn.1002-0829.2013.03.10
  • Любов Е.Б. Размышления о суицидальном поведении. Прекрасное далёко, не будь ко мне жестоко. Независимый психиатрический журнал. 2023; I: 79-86. [Lyubov E.B. Reflections on suicidal behavior. The beautiful is far away, don't be cruel to me. Independent Psychiatric journal. 2023; I: 79-86] (In Russ)
  • Hughes C.W. Objective assessment of suicide risk: significant improvements in assessment, classification, and prediction. Am. J. Psychiatry. 2011; 168: 1233-1234. DOI: 10.1176/appi.ajp.2011.11091362
  • Bolton J.M., Gunnell D., Turecki G. Suicide risk assessment and intervention in people with mental illness. BMJ. 2015; 351: h4978.
  • Pokorny A.D. Prediction of suicide in psychiatric patients. Report of a prospective study. Arch. Gen. Psychiatry. 1983; 40 (3): 249-57.
  • Franklin J.C., Ribeiro J.D., Fox K.R, et al. Risk factors for suicidal thoughts and behaviors: a meta-analysis of 50 years of research. Psychol. Bull. 2017; 143: 187-232.
  • Authored by the 2017 ENA Clinical Practice Guideline Committee; Lead Authors; Zaleski ME, Johnson ML, Valdez AM, et al. Clinical Practice Guideline: Suicide Risk Assessment. J. Emerg. Nurs. 2018; 44 (5): 505. e1- 505.e33. DOI: 10.1016/j.jen.2018.07.012
  • Silverman M.M., Berman A.L. Suicide risk assessment and risk formulation part I: a focus on suicide ideation in assessing suicide risk. Suicide Life Threat. Behav. 2014; 44: 420-431. DOI: 10.1111/sltb.12065. PMID: 25250407.
  • National Confidential Inquiry into Suicide and Safety in Mental Health (NCISH). The assessment of clinical risk in mental health services. Manchester: The University of Manchester, 2018.
  • Pease J.L., Forster J.E., Davidson C.L., et al. How veterans health administration suicide prevention coordinators assess suicide risk. Clin. Psychol. Psychother. 2017; 24 (2): 401-410. DOI: 10.1002/cpp.2011. PMID: 28401708.
  • Berman N.C., Stark A., Cooperman A., et al. Effect of patient and therapist factors on suicide risk assessment. Death Stud. 2015; 39 (7): 433-441. DOI: 10.1080/07481187.2014.958630. PMID: 25674940.
  • Damen J.A.A.G., Hooft L., Schuit E., et al. Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ. 2016; 353: i2416. DOI: 10.1136/bmj.i2416
  • Usher-Smith J.A., Walter F.M., Emery J.D., et al. Risk prediction models for colorectal cancer: a systematic review. Cancer Prev. Res. (Philos Pa). 2016; 9: 13-26. DOI: 10.1158/1940-6207.CAPR-15-0274
  • Kessler R.C., Bossarte R.M., Luedtke A., et al. Suicide prediction models: a critical review of recent research with recommendations for the way forward. Mol. Psychiatry. 2019; 25: 168-179. DOI: 10.1038/s41380-019-0531-0
  • Meehan A.J., Lewis S.J., Fazel S., et al. Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges. Mol. Psychiatry. 2022; 27: 2700-2708.
  • Quinlivan L., Cooper J., Steeg S., et al. Scales for predicting risk following self-harm: an observational study in 32 hospitals in England. BMJ Open. 2014; 4: e004732. DOI: 10.1136/bmjopen-2013-004732
  • Large M., Myles N., Myles H., et al. Suicide risk assessment among psychiatric inpatients: A systematic review and meta-analysis of high-risk categories. Psychol. Med. 2018; 48: 1119-1127. DOI: 10.1017/S0033291717002537
  • Large M., Kaneson M., Myles N., et al. Meta-analysis of longitudinal cohort studies of suicide risk assessment among psychiatric patients: heterogeneity in results and lack of improvement over time. PloS One. 2016; 11: e0156322. DOI: 10.1371/journal.pon.0156322
  • Velupillai S., Hadlaczky G., Baca-Garcia E., et al. Risk assessment tools and data-driven approaches for predicting and preventing suicidal behavior. Front Psychiatry. 2019; 10: 36. DOI: 10.3389/fpsyt.2019.00036.
  • Burke T.A., Ammerman B.A., Jacobucci R. The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review. J. Affect. Disord. 2019; 245: 869-884. DOI: 10.1016/j.jad.2018.11.073. PMID: 30699872.
  • Fazel S., Wolf A. Suicide risk assessment tools do not perform worse than clinical judgement. Br. J. Psychiatry. 2017; 211: 183. DOI: 10.1192/bjp.211.3.183
  • US Department of Health. Office of the Surgeon General and National Action Alliance for Suicide Prevention. The 2012 National Strategy for Suicide Prevention: Goals and Objectives for Action (HHS, Washington, DC, 2012).
  • Wasserman D., Rihmer Z., Rujescu D., et al. European Psychiatric Association. The European Psychiatric Association (EPA) guidance on suicide treatment and prevention. Eur. Psychiatry. 2012; 27 (2): 129-141. DOI: 10.1016/j.eurpsy.2011.06.003. PMID: 22137775.
  • National Institute for Health and Care Excellence. CG16: The Short-term Physical and Psychological Management and Secondary Prevention of Self-harm in Primary and Secondary Care (NICE, London, 2004).
  • Carter G., Page A., Large M., et al. Royal Australian and New Zealand College of Psychiatrists clinical practice guideline for the management of deliberate self-harm. Aust. NZ J. Psychiatry. 2016; 50 (10): 939-1000. DOI: 10.1177/0004867416661039
  • Bromet E.J., Nock M.K., Saha S., et al. Association between psychotic experiences and subsequent Suicidal thoughts and behaviors: A Cross-National Analysis from the World Health Organization World Mental Health Surveys. JAMA Psychiatry. 2017; 74 (11): 1136-1144. DOI: 10.1001/jamapsychiatry.2017.2647. PMID: 28854302.
  • Chesney E., Goodwin G.M., Fazel S. Risks of all-cause and suicide mortality in mental disorders: A metareview. World Psychiatry. 2014; 13:153-60. DOI: 10.1002/wps.20128
  • Cassidy R.M., Yang F., Kapczinski F., Passos I.C. Risk factors for suicidality in patients with schizophrenia: a systematic review, meta-analysis, and meta-regression of 96 studies. Schizophr. Bull. 2018; 44 (4): 787-797. DOI: 10.1093/schbul/sbx131.
  • Hjorthøj C., Stürup A.E., McGrath J.J., Nordentoft M. Years of potential life lost and life expectancy in schizophrenia: a systematic review and meta-analysis. Lancet Psychiatry. 2017; 4: 295-301. DOI: 10.1016/S2215- 0366(17)30078-0
  • NICE. Self-harm. Quality standard [QS34], The National Institute for Health and Care Excellence, London, UK. 2013.
  • NICE. Psychosis and schizophrenia in adults: prevention and management. Clinical guideline [CG178], The National Institute for Health and Care Excellence, London, UK. 2014.
  • Fazel S., Wolf A., Larsson H., et al. The prediction of suicide in severe mental illness: development and validation of a clinical prediction rule (OxMIS). Transl. Psychiatry. 2019; 9: 98. DOI: 10.1038/s41398-019-0428-3
  • Barak-Corren Y., Castro V.M., Javitt S., et al. Predicting suicidal behavior from longitudinal electronic health records. Am J Psychiatry. 2017; 174: 154-162. DOI: 10.1176/appi.ajp.2016.16010077
  • Kessler R.C., Warner C.H., Ivany C., et al. Predicting suicides after psychiatric hospitalization in US Army soldiers: the Army Study to assess risk and resilience in service members (Army STARRS). JAMA Psychiatry. 2015; 72 (1): 49-57. DOI: 10.1001/jamapsychiatry.2014.1754
  • Qin P., Nordentoft M. Suicide risk in relation to psychiatric hospitalization: evidence based on longitudinal registers. Arch. Gen. Psychiatry. 2005; 62: 427-432. DOI: 10.1001/archpsyc.62.4.427
  • University of Manchester. The National Confidential Inquiry into Suicide and Homicide by People with Mental Illness. Making Mental Health Care Safer: Annual Report and 20-year Review (University of Manchester, Manchester, 2016).
  • Hawton K., Sutton L., Haw C., et al. Schizophrenia and suicide: systematic review of risk factors. Br. J. Psychiatry. 2005; 187: 9-20. DOI: 10.1192/bjp.187.1.9
  • Leucht S., Tardy M., Komossa K., et al. Antipsychotic drugs versus placebo for relapse prevention in schizophrenia: a systematic review and meta-analysis. Lancet. 2012; 379 (9831): 2063-2071. DOI: 10.1016/S0140-6736(12)60239-6
  • Cipriani A., Geddes J.R., Furukawa T.A., Barbui C. Metareview on short-term effectiveness and safety of antidepressants for depression: an evidence-based approach to inform clinical practice. Can. J. Psychiatry. 2007; 52: 553-562. DOI: 10.1177/070674370705200903
  • Runeson B., Tidemalm D., Dahlin M., et al. Method of attempted suicide as predictor of subsequent successful suicide: national long-term cohort study. BMJ. 2010; 341: c3222. DOI: 10.1136/bmj.c3222
  • Nordentoft M., Mortensen P.B. Absolute risk of suicide after first hospital contact in mental disorder. Arch. Gen. Psychiatry. 2011; 68: 1058-1064. DOI: 10.1001/archgenpsychiatry.2011.113
  • Sariaslan A., Fanshawe T., Pitkänen J., et al. Predicting suicide risk in 137,112 people with severe mental illness in Finland: external validation of the Oxford Mental Illness and Suicide tool (OxMIS). Transl. Psychiatry. 2023; 13 (1): 126. DOI: 10.1038/s41398-023-02422-5.
  • Hor K., Taylor M. Suicide and schizophrenia: a systematic review of rates and risk factors. J. Psychopharmacol. 2010; 24 (4 Suppl.): 81-90. DOI: 10.1177/1359786810385490. PMID: 20923923.
  • Senior M., Burghart M., Yu R., et al. Identifying predictors of suicide in severe mental illness: a feasibility study of a clinical prediction rule (Oxford Mental Illness and Suicide Tool or OxMIS). Front. Psychiatry. 2020; 11:268. DOI: 10.3389/fpsyt.2020.00268;
  • Carter G., Milner A., McGill K., et al. Predicting suicidal behaviours using clinical instruments: systematic review and meta-analysis of positive predictive values for risk scales. Br J Psychiatry. 2017; 210: 387-395. DOI: 10.1192/bjp.bp.116.182717
  • Casey J.A., Schwartz B.S., Stewart W.F., Adler N.E. Using electronic health records for population health research: a review of methods and applications. Ann. Rev. Public Health. 2016; 37: 61-81. DOI: 10.1146/annurevpublhealth-032315-021353
  • Velupillai S., Hadlaczky G., Baca-Garcia E., et al. Risk assessment tools and data-driven approaches for predicting and preventing suicidal behavior. Front Psychiatry. 2019; 10: 36. DOI: 10.3389/fpsyt.2019.00036
  • Perera G., Broadbent M., Callard F., et al. Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an electronic mental health record-derived data resource. BMJ Open. 2016; 6:e008721. DOI: 10.1136/bmjopen-2015-008721
  • Kadra G., Stewart R., Shetty H., et al. Extracting antipsychotic polypharmacy data from electronic health records: developing and evaluating a novel process. BMC Psychiatry. 2015; 15: 166. DOI: 10.1186/s12888-015-0557-z
  • Gligic L, Kormilitzin A, Goldberg P, Nevado-Holgado A. Named entity recognition in electronic health records using transfer learning bootstrapped neural networks. Neural Networks. 2020; 121: 132-139. DOI: 10.1016/j.neunet.2019.08.032
  • Fernandes A.C., Dutta R., Velupillai S., et al. Identifying suicide ideation and suicidal attempts in a psychiatric clinical research database using natural language processing. Sci Rep. 2018; 8: 7426. DOI: 10.1038/s41598-018-25773-2
  • Hofer M., Kormilitzin A., Goldberg P., Nevado-Holgado A. Few-shot learning for named entity recognition in medical text. Arxiv Prepr. 2018. http://arxiv.org/abs/1811.05468
  • Ross E.L., Zuromski K.L., Reis B.Y., et al. Accuracy requirements for cost-effective suicide risk prediction among primary care patients in the US. JAMA Psychiatry. 2021; 78 (6):642-50.
  • Public Health England. Commissioning cost-effective services for promotion of mental health and wellbeing and prevention of mental ill-health: tool guide. London: Public Health England, 2017.
  • McDaid D., Park A.L., Tsiachristas A., et al. Costeffectiveness of psychosocial assessment for individuals who present to hospital following self-harm in England: A model-based retrospective analysis. Eur. Psychiatry. 2022; 65 (1): e16. DOI: 10.1192/j.eurpsy.2022.5
  • Dunlap L.J., Orme S., Zarkin G.A., et al. Screening and intervention for suicide prevention: a cost-effectiveness analysis of the ED-SAFE interventions. Psychiatr. Serv. 2019; 70 (12): 1082-1087. DOI: 10.1176/appi.ps.201800445. PMID: 31451063
  • Denchev P., Pearson J.L, Allen M.H., et al. Modeling the cost-effectiveness of interventions to reduce suicide risk among hospital emergency department patients. Psychiatr. Serv. 2018; 69 (1): 23-31. DOI: 10.1176/appi.ps.201600351. PMID: 28945181.
  • Sinclair J.M.A., Gray A., Rivero-Arias O., et al. Healthcare and social services resource use and costs of self-harm patients. Soc Psychiatry Psychiatr. Epidemiol. 2011; 46 (4): 263-271.
  • Botchway S., Tsiachristas A., Pollard J., Fazel S. Costeffectiveness of implementing a suicide prediction tool (OxMIS) in severe mental illness: Economic modeling study. Eur. Psychiatry. 2022; 66 (1): e6. DOI: 10.1192/j.eurpsy.2022.2354. PMID: 36529858
  • Geulayov G., Casey D., Bale L., et al. Suicide following presentation to hospital for non-fatal self-harm in the multicenter study of self-harm: a long-term follow-up study. Lancet Psychiatry. 2019; 6 (12): 1021-1030. DOI: 10.1016/S2215-0366(19)30402-X. PMID: 31706930.
  • McDonough C.M., Tosteson A.N. Measuring preferences for cost-utility analysis: how choice of method may influence decision-making. Pharmacoeconomics. 2007; 25 (2): 93-106. DOI: 10.2165/00019053-200725020-00003
  • Belsher B.E., Smolenski D.J., Pruitt L.D., et al. Prediction models for suicide attempts and deaths: a systematic review and simulation. JAMA Psychiatry. 2019; 76 (6): 642-651. DOI: 10.1001/jamapsychiatry.2019.0174
  • National Confidential Inquiry into Suicide and Safety in Mental Health (NCISH). The assessment of clinical risk in mental health services. Manchester: University of Manchester, 2021.
  • Posner K., Brown G.K., Stanley B., et al. The Columbia-Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults. Am. J. Psychiatry. 2011; 168 (12): 1266-1277. DOI: 10.1176/appi.ajp.2011.10111704
  • Ramspek C.L., Jager K.J., Dekker F.W., et al. External validation of prognostic models: what, why, how, when and where? Clin. Kidney J. 2020; 14 (1): 49-58. DOI: 10.1093/ckj/sfaa188. PMID: 33564405
  • Fazel S., Wolf A. Selecting a risk assessment tool to use in practice: a 10-point guide. Evid. Based Ment. Health. 2018; 21: 41-43. DOI: 10.1136/eb-2017-102861
  • Siontis G.C.M., Tzoulaki I., Castaldi P.J., Ioannidis J.P.A. External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination. J. Clin. Epidemiol. 2015; 68: 25-34. DOI: 10.1016/j.jclinepi.2014.09.007
  • Steyerberg E.W., Harrell F.E. Prediction models need appropriate internal, internal-external, and external validation. J. Clin. Epidemiol. 2016; 69: 245-247. DOI: 10.1016/j.jclinepi.2015.04.005
  • Whiting D., Fazel S. How accurate are suicide risk prediction models? Asking the right questions for clinical practice. Evid. Based Ment. Heal. 2019; 22 (3): 125-8. DOI: 10.1136/ebmental-2019-300102. PMID: 31248976.
  • Fazel S., Runeson B. Suicide. N. Engl. J. Med. 2020; 382: 266-274. DOI: 10.1056/NEJMra1902944
  • Bjureberg J., Dahlin M., Carlborg A., et al. Columbiasuicide severity rating scale screen version: initial screening for suicide risk in a psychiatric emergency department. Psychol. Med. 2022; 52: 3904-3912. DOI: 10.1017/S0033291721000751
  • Chan M.K., Bhatti H., Meader N., et al. Predicting suicide following self-harm: systematic review of risk factors and risk scales. Br. J. Psychiatry. 2016; 209 (4): 277-283. DOI: 10.1192/bjp.bp.115.170050. PMID: 27340111.
  • Batty G.D., Kivimäki M., Bell S., et al. Psychosocial characteristics as potential predictors of suicide in adults: an overview of the evidence with new results from prospective cohort studies. Transl. Psychiatry. 2018; 8 (1): 22. DOI: 10.1038/s41398-017-0072-8. PMID: 29353878.
  • Zalsman G., Hawton K., Wasserman D., et al. Suicide prevention strategies revisited: 10-year systematic review. Lancet Psychiatry. 2016; 3 (7): 646-659. DOI: 10.1016/S2215-0366(16)30030-X. PMID: 27289303.
  • Taipale H., Lähteenvuo M., Tanskanen A., et al. Comparative effectiveness of antipsychotics for risk of attempted or completed suicide among persons with schizophrenia. Schizophr. Bull. 2021; 47 (1): 23-30. DOI: 10.1093/schbul/sbaa111. PMID: 33428766.
  • Large M., Galletly C., Myles N., et al. Known unknowns and unknown unknowns in suicide risk assessment: evidence from meta-analyses of aleatory and epistemic uncertainty. BJPsych Bull. 2017; 41 (3): 160-163. DOI: 10.1192/pb.bp.116.054940. PMID: 28584653; PMCID: PMC5451650.
  • Lenert L.A., Sturley A.P., Rapaport M.H., et al. Public preferences for health states with schizophrenia and a mapping function to estimate utilities from positive and negative symptom scale scores. Schizophr Res. 2004; 71 (1): 155-165. DOI: 10.1016/j.schres.2003.10.010
  • Flores M., Glusman G., Brogaard K., et al. P4 medicine: how systems medicine will transform the healthcare sector and society. Per. Med. 2013; 10 (6): 565-576. DOI: 10.2217/pme.13.57. PMID: 253429
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