Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

. 2022 Dec ; 250 () : 1-9. [epub] 20221012

Jazyk angličtina Země Nizozemsko Médium print-electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid36242784

Grantová podpora
MR/L010305/1 Medical Research Council - United Kingdom
MR/L011794/1 Medical Research Council - United Kingdom

Odkazy

PubMed 36242784
PubMed Central PMC9834064
DOI 10.1016/j.schres.2022.09.009
PII: S0920-9964(22)00342-5
Knihovny.cz E-zdroje

INTRODUCTION: Our aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR. METHODS: We combined data from ten prospective, first-episode psychosis cohorts from across Europe and categorised patients as TR or non-treatment resistant (NTR) after a mean follow up of 4.18 years (s.d. = 3.20) for secondary data analysis. We identified a list of potential predictors from clinical and demographic data recorded at first-episode. These potential predictors were entered in two models: a multivariable logistic regression to identify which were independently associated with TR and a penalised logistic regression, which performed variable selection, to produce a parsimonious prediction model. This model was internally validated using a 5-fold, 50-repeat cross-validation optimism-correction. RESULTS: Our sample consisted of N = 2216 participants of which 385 (17 %) developed TR. Younger age of psychosis onset and fewer years in education were independently associated with increased odds of developing TR. The prediction model selected 7 out of 17 variables that, when combined, could quantify the risk of being TR better than chance. These included age of onset, years in education, gender, BMI, relationship status, alcohol use, and positive symptoms. The optimism-corrected area under the curve was 0.59 (accuracy = 64 %, sensitivity = 48 %, and specificity = 76 %). IMPLICATIONS: Our findings show that treatment resistance can be predicted, at first-episode of psychosis. Pending a model update and external validation, we demonstrate the potential value of prediction models for TR.

Centre for Public Health Institute of Clinical Sciences Queens University Belfast Belfast UK

Centro de Investigacion en Red Salud Mental Santander Spain; Department of Medicine and Psychiatry School of Medicine University of Cantabria Santander Spain

Centro de Investigacion en Red Salud Mental Sevilla Spain; Department of Psychiatry Hospital Universitario Virgen del Rocio IBiS Universidad de Sevilla Spain

Department of Applied Neuroscience and Neuroimaging National Institute of Mental Health Klecany Czechia; Department of Psychiatry and Medical Psychology 3rd Faculty of Medicine Charles University Prague Czechia

Department of Biomedical and Neuro motor Sciences Psychiatry Unit Alma Mater Studiorum Università di Bologna Bologna Italy

Department of Biostatistics and Health Informatics Institute of Psychiatry Psychology and Neuroscience King's College London London UK

Department of Biostatistics and Health Informatics Institute of Psychiatry Psychology and Neuroscience King's College London London UK; Department of Behavioural Science and Health Institute of Epidemiology and Health Care University College London London UK

Department of Clinical and Movement Neuroscience UCL Queen Square Institute of Neurology University College London London UK

Department of Medical and Surgical Sciences Bologna Transcultural Psychosomatic Team Alma Mater Studiorum University of Bologna Bologna Italy

Department of Medical Education University of Nottingham Faculty of Medicine and Health Sciences Nottingham UK

Department of Psychosis Studies Institute of Psychiatry Psychology and Neuroscience King's College London London UK

Department of Psychosis Studies Institute of Psychiatry Psychology and Neuroscience King's College London London UK; Centro de Investigacion en Red Salud Mental Lausanne Switzerland

Department of Psychosis Studies Institute of Psychiatry Psychology and Neuroscience King's College London London UK; South London and Maudsley NHS Foundation Trust London UK

Disability Research Division Department of Behavioural Sciences and Learning Linköping University Linköping Sweden

Division of Psychiatry Imperial College London UK

Health Service and Population Research King's College London London UK; Centre for Society and Mental Health King's College London London UK

Istanbul University Istanbul Faculty of Medicine Department of Psychiatry Istanbul Turkey

MRC Centre for Neuropsychiatric Genetics and Genomics Division of Psychological Medicine and Clinical Neurosciences Cardiff University Cardiff UK

MRC Centre for Neuropsychiatric Genetics and Genomics Division of Psychological Medicine and Clinical Neurosciences Cardiff University Cardiff UK; Department of Psychosis Studies Institute of Psychiatry Psychology and Neuroscience King's College London London UK

Norwegian Centre for Mental Disorders Research Division of Mental Health and Addiction Oslo University Hospital Norway

Norwegian Centre for Mental Disorders Research Institute of Clinical Medicine University of Oslo Oslo Norway; Division of Mental Health and Addiction Oslo University Hospital Oslo Norway

Social Genetics and Developmental Psychiatry Institute of Psychiatry Psychology and Neuroscience King's College London London UK; South London and Maudsley NHS Foundation Trust London UK

TIPP Lausanne Switzerland

Unit for Research in Schizophrenia Center for Psychiatric Neuroscience Department of Psychiatry Lausanne University Hospital Lausanne Switzerland

Unit of Pharmacogenetics and Clinical Psychopharmacology Centre for Psychiatric Neuroscience Department of Psychiatry Lausanne University Hospital University of Lausanne Prilly Switzerland; School of Pharmaceutical Sciences University of Geneva University of Lausanne Geneva Switzerland; Center for Research and Innovation in Clinical Pharmaceutical Sciences University of Lausanne Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland University of Geneva University of Lausanne

Univ Paris Est Creteil INSERM IMRB Translational Neuropsychiatry Fondation FondaMental Creteil France

Univ Paris Est Creteil INSERM IMRB Translational Neuropsychiatry Fondation FondaMental Creteil France; AP HP Hôpitaux Universitaires H Mondor DMU IMPACT FHU ADAPT Creteil France

Univ Paris Est Creteil INSERM IMRB Translational Neuropsychiatry Fondation FondaMental Creteil France; Groupe Hospitalier Universitaire Psychiatrie Neurosciences Paris Pôle Psychiatrie Précarité Paris France

Zobrazit více v PubMed

Ajnakina O., Agbedjro D., Lally J., Forti M.D., Trotta A., Mondelli V., Pariante C., Dazzan P., Gaughran F., Fisher H.L., David A., Murray R.M., Stahl D. Predicting onset of early- and late-treatment resistance in first-episode schizophrenia patients using advanced shrinkage statistical methods in a small sample. Psychiatry Res. 2020;294 PubMed

Albert N., Bertelsen M., Thorup A., Petersen L., Jeppesen P., Le Quack P., Krarup G., Jorgensen P., Nordentoft M. Predictors of recovery from psychosis analyses of clinical and social factors associated with recovery among patients with first-episode psychosis after 5 years. Schizophr. Res. 2011;125(2–3):257–266. PubMed

Andrews A., Knapp M., McCrone P., Parsonage M., Trachtenberg M. 2012. Effective Interventions in Schizophrenia: The Economic Case. A Report Prepared for the Schizophrenia Commission. Rethink Mental Illness, London.

Austin P.C., Steyerberg E.W. Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models. Stat. Methods Med. Res. 2017;26(2):796–808. PubMed PMC

Azur M.J., Stuart E.A., Frangakis C., Leaf P.J. Multiple imputation by chained equations: what is it and how does it work? Int. J. Methods Psychiatr. Res. 2011;20(1):40–49. PubMed PMC

Ballageer T., Malla A., Manchanda R., Takhar J., Haricharan R. Is adolescent-onset first-episode psychosis different from adult onset? J. Am. Acad. Child Adolesc. Psychiatry. 2005;44(8):782–789. PubMed

Barnes T.R.E., Leeson V.C., Mutsatsa S.H., Watt H.C., Hutton S.B., Joyce E.M. Duration of untreated psychosis and social function: 1-year follow-up study of first-episode schizophrenia. Br. J. Psychiatry. 2008;193(3):203–209. PubMed PMC

Baumann P.S., Crespi S., Marion-Veyron R., Solida A., Thonney J., Favrod J., Bonsack C., Do K.Q., Conus P. Treatment and early intervention in psychosis program (TIPP-Lausanne): implementation of an early intervention programme for psychosis in Switzerland. Early Interv. Psychiatry. 2013;7(3):322–328. PubMed

Brain C., Kymes S., DiBenedetti D.B., Brevig T., Velligan D.I. Experiences, attitudes, and perceptions of caregivers of individuals with treatment-resistant schizophrenia: a qualitative study. BMC Psychiatry. 2018;18(1):253. PubMed PMC

Breiman L. Random forests. Mach. Learn. 2001;45(1):5–32.

Budin-Ljøsne I., Isaeva J., Maria Knoppers B., Marie Tassé A., Shen H.-Y., McCarthy M.I., Harris J.R., Consortium E. Data sharing in large research consortia: experiences and recommendations from ENGAGE. Eur. J. Hum. Genet. 2014;22(3):317–321. PubMed PMC

Bühlmann P., van de Geer S. Statistics for big data: a perspective. Statist. Probab. Lett. 2018;136:37–41.

Bzdok D., Meyer-Lindenberg A. Machine learning for precision psychiatry: opportunities and challenges. Biol. Psychiatry. 2018;3(3):223–230. PubMed

Chan S.K.W., Chan H.Y.V., Honer W.G., Bastiampillai T., Suen Y.N., Yeung W.S., Lam M., Lee W.K., Ng R.M.K., Hui C.L.M., Chang W.C., Lee E.H.M., Chen E.Y.H. Predictors of treatment-resistant and clozapine-resistant schizophrenia: a 12-year follow-up study of first-episode schizophrenia-spectrum disorders. Schizophr. Bull. 2021;47(2):485–494. PubMed PMC

Chen Y.-L., Chen K.-P., Chiu C.-C., Tai M.-H., Lung F.-W. Early predictors of poor treatment response in patients with schizophrenia treated with atypical antipsychotics. BMC Psychiatry. 2018;18(1):376. PubMed PMC

Chiliza B., Asmal L., Kilian S., Phahladira L., Emsley R. Rate and predictors of non-response to first-line antipsychotic treatment in first-episode schizophrenia. Hum. Psychopharmacol. Clin. Exp. 2015;30(3):173–182. PubMed

Ciarleglio A.J., Brucato G., Masucci M.D., Altschuler R., Colibazzi T., Corcoran C.M., Crump F.M., Horga G., Lehembre-Shiah E., Leong W., Schobel S.A., Wall M.M., Yang L.H., Lieberman J.A., Girgis R.R. A predictive model for conversion to psychosis in clinical high-risk patients. Psychol. Med. 2018:1–10. PubMed PMC

Collins G.S., Reitsma J.B., Altman D.G., Moons K.G. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. J. Clin. Epidemiol. 2015;68:134–143. PubMed

Crespo-Facorro B., Pelayo-Teran J.M., Perez-Iglesias R., Ramirez-Bonilla M., Martinez-Garcia O., Pardo-Garcia G., Vazquez-Barquero J.L. Predictors of acute treatment response in patients with a first episode of non-affective psychosis: sociodemographics, premorbid and clinical variables. J. Psychiatr. Res. 2007;41(8):659–666. PubMed

de Bartolomeis A., Balletta R., Giordano S., Buonaguro E.F., Latte G., Iasevoli F. Differential cognitive performances between schizophrenic responders and non-responders to antipsychotics: correlation with course of the illness, psychopathology, attitude to the treatment and antipsychotics doses. Psychiatry Res. 2013;210(2):387–395. PubMed

Demjaha A., Lappin J.M., Stahl D., Patel M.X., MacCabe J.H., Howes O.D., Heslin M., Reininghaus U.A., Donoghue K., Lomas B., Charalambides M., Onyejiaka A., Fearon P., Jones P., Doody G., Morgan C., Dazzan P., Murray R.M. Antipsychotic treatment resistance in first-episode psychosis: prevalence, subtypes and predictors. Biol. Psychiatry. 2017;47(11):1981–1989. PubMed

Downs J., Dean H., Lechler S., Sears N., Patel R., Shetty H., Hotopf M., Ford T., Kyriakopoulos M., Diaz-Caneja C.M., Arango C., MacCabe J.H., Hayes R.D., Pina-Camacho L. Negative symptoms in early-onset psychosis and their association with antipsychotic treatment failure. Schizophr. Bull. 2019;45(1):69–79. PubMed PMC

Egerton A., Murphy A., Donocik J., Anton A., Barker G.J., Collier T., Deakin B., Drake R., Eliasson E., Emsley R., Gregory C.J., Griffiths K., Kapur S., Kassoumeri L., Knight L., Lambe E.J.B., Lawrie S.M., Lees J., Lewis S., Lythgoe D.J., Matthews J., McGuire P., McNamee L., Semple S., Shaw A.D., Singh K.D., Stockton-Powdrell C., Talbot P.S., Veronese M., Wagner E., Walters J.T.R., Williams S.R., MacCabe J.H., Howes O.D. Dopamine and glutamate in antipsychotic-responsive compared with antipsychotic-nonresponsive psychosis: a multicenter positron emission tomography and magnetic resonance spectroscopy study (STRATA) Schizophr. Bull. 2021;47(2):505–516. PubMed PMC

Emsley R., Oosthuizen P.P., Kidd M., Koen L., Niehaus D.J., Turner H.J. Remission in first-episode psychosis: predictor variables and symptom improvement patterns. J. Clin. Psychiatry. 2006;67(11):1707–1712. PubMed

Fonseca de Freitas D., Kadra-Scalzo G., Agbedjro D., Francis E., Ridler I., Pritchard M., Sheety H., Segev A., Casetta C., Smart S., Downs J., Christensen S.R., Bak N., Kinon B.J., Stahl D., Maccabe J., Hayes R. Using a statistical learning approach to identify sociodemographic and clinical predictors of response to clozapine. J. Psychopharm. 2022;36(4):498–506. PubMed PMC

Freitas R., Dos Santos B., Altamura C., Bernasconi C., Corral R., Evans J., Malla A., Krebs M.O., Nordstroem A.L., Zink M., Haro J.M., Elkis H. Can the positive and negative syndrome scale (PANSS) differentiate treatment-resistant from non-treatment-resistant schizophrenia? A factor analytic investigation based on data from the pattern cohort study. Psychiatry Res. 2019;276:210–217. PubMed

Frydecka D., Beszłej J.A., Gościmski P., Kiejna A., Misiak B. Profiling cognitive impairment in treatment-resistant schizophrenia patients. Psychiatry Res. 2016;235:133–138. PubMed

Fusar-Poli P., Cappucciati M., Rutigliano G., Heslin M., Stahl D., Brittenden Z., Caverzasi E., McGuire P., Carpenter W.T. Diagnostic stability of ICD/DSM first episode psychosis diagnoses: meta-analysis. Schizophr. Bull. 2016;42(6):1395–1406. PubMed PMC

Griffiths K., Millgate E., Egerton A., MacCabe J.H. Demographic and clinical variables associated with response to clozapine in schizophrenia: a systematic review and meta-analysis. Psychol. Med. 2021:1–11. PubMed

Harel O. The estimation of R 2 and adjusted R 2 in incomplete data sets using multiple imputation. J. Appl. Stat. 2009;36(10):1109–1118.

Hastie T., Tibshirani R., Friedman J. Springer; New York, NY: 2009. The Elements of Statistical Learning.

Hemingway H., Croft P., Perel P., Hayden J.A., Abrams K., Timmis A., Briggs A., Udumyan R., Moons K.G.M., Steyerberg E.W., Roberts I., Schroter S., Altman D.G., Riley R.D. Prognosis research strategy (PROGRESS) 1: a framework for researching clinical outcomes. BMJ. 2013;346 PubMed PMC

Hernández A.V., Steyerberg E.W., Habbema J.D.F. Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements. J. Clin. Epidemiol. 2004;57(5):454–460. PubMed

Howes O.D., Vergunst F., Gee S., McGuire P., Kapur S., Taylor D. Adherence to treatment guidelines in clinical practice: study of antipsychotic treatment prior to clozapine initiation. Br. J. Psychiatry. 2012;201(6):481–485. PubMed

Howes O.D., McCutcheon R., Agid O., et al. Treatment-resistant schizophrenia: treatment response and resistance in psychosis (TRRIP) working group consensus guidelines on diagnosis and terminology. Am. J. Psychiatry. 2017;174(3):216–229. PubMed PMC

Hui T.P., Kandola A., Shen L., Lewis G., Osborn D.P.J., Geddes J.R., Hayes J.F. A systematic review and meta-analysis of clinical predictors of lithium response in bipolar disorder. Acta Psychiatr. Scand. 2019;140(2):94–115. PubMed PMC

Iasevoli F., Giordano S., Balletta R., Latte G., Formato M.V., Prinzivalli E., De Berardis D., Tomasetti C., de Bartolomeis A. Treatment resistant schizophrenia is associated with the worst community functioning among severely-ill highly-disabling psychiatric conditions and is the most relevant predictor of poorer achievements in functional milestones. Prog. Neuro-Psychopharmacol. Biol. Psychiatry. 2016;65:34–48. PubMed

Iasevoli F., Avagliano C., Altavilla B., Barone A., Ciccarelli M., D'Ambrosio L., Notar Francesco D., Razzino E., Fornaro M., de Bartolomeis A. Evaluation of a few discrete clinical markers may predict categorization of actively symptomatic non-acute schizophrenia patients as treatment resistant or responders: a study by ROC curve analysis and multivariate analyses. Psychiatry Res. 2018;269:481–493. PubMed

Iasevoli F., Avagliano C., Altavilla B., Barone A., D'Ambrosio L., Matrone M., Notar Francesco D., Razzino E., de Bartolomeis A. Disease severity in treatment resistant schizophrenia patients is mainly affected by negative symptoms, which mediate the effects of cognitive dysfunctions and neurological soft signs. Front. Psychiatry. 2018;9(553) PubMed PMC

Iasevoli F., D'Ambrosio L., Notar Francesco D., Razzino E., Buonaguro E.F., Giordano S., Patterson T.L., de Bartolomeis A. Clinical evaluation of functional capacity in treatment resistant schizophrenia patients: comparison and differences with non-resistant schizophrenia patients. Schizophr. Res. 2018;202:217–225. PubMed

Iasevoli F., Razzino E., Altavilla B., Avagliano C., Barone A., Ciccarelli M., D'Ambrosio L., Matrone M., Milandri F., Notar Francesco D., Fornaro M., de Bartolomeis A. Relationships between early age at onset of psychotic symptoms and treatment resistant schizophrenia. Early Interv. Psychiatry. 2022;16:352–362. PubMed PMC

Immonen J., Jääskeläinen E., Korpela H., Miettunen J. Age at onset and the outcomes of schizophrenia: a systematic review and meta-analysis. Early Interv. Psychiatry. 2017;11(6):453–460. PubMed PMC

Jin H., McCrone P., MacCabe J.H. Stratified medicine in schizophrenia: how accurate would a test of drug response need to be to achieve cost-effective improvements in quality of life? Eur. J. Health Econ. 2019;20(9):1425–1435. PubMed PMC

Jongsma H.E., Gayer-Anderson C., Lasalvia A., Quattrone D., Mule A., Szoke A., Selten J.P., Turner C., Arango C., Tarricone I., Berardi D., Tortelli A., Llorca P.M., de Haan L., Bobes J., Bernardo M., Sanjuan J., Santos J.L., Arrojo M., Del-Ben C.M., Menezes P.R., Velthorst E., Murray R.M., Rutten B.P., Jones P.B., van Os J., Morgan C., Kirkbride J.B. Treated incidence of psychotic disorders in the multinational EU-GEI study. JAMA Psychiatry. 2018;75(1):36–46. PubMed PMC

Joober R., Rouleau G.A., Lal S., Dixon M., O'Driscoll G., Palmour R., Annable L., Bloom D., Lalonde P., Labelle A., Benkelfat C. Neuropsychological impairments in neuroleptic-responder vs. -nonresponder schizophrenic patients and healthy volunteers. Schizophr. Res. 2002;53(3):229–238. PubMed

Kapur S., Phillips A.G., Insel T.R. Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it? Mol. Psychiatry. 2012;17(12):1174–1179. PubMed

Kennedy J.L., Altar C.A., Taylor D.L., Degtiar I., Hornberger J.C. The social and economic burden of treatment-resistant schizophrenia: a systematic literature review. Int. Clin. Psychopharmacol. 2014;29(2):63–76. PubMed

Krapohl E., Patel H., Newhouse S., Curtis C.J., von Stumm S., Dale P.S., Zabaneh D., Breen G., O'Reilly P.F., Plomin R. Multi-polygenic score approach to trait prediction. Mol. Psychiatry. 2018;23(5):1368. PubMed PMC

Kuhn M., Johnson K. Springer; 2013. Applied Predictive Modeling.

Lally J., Ajnakina O., Di Forti M., Trotta A., Demjaha A., Kolliakou A., Mondelli V., Reis Marques T., Pariante C., Dazzan P., Shergil S.S., Howes O.D., David A.S., MacCabe J.H., Gaughran F., Murray R.M. Two distinct patterns of treatment resistance: clinical predictors of treatment resistance in first-episode schizophrenia spectrum psychoses. Psychol. Med. 2016;46(15):3231–3240. PubMed

Lee Y.H., Bang H., Kim D.J. How to establish clinical prediction models. Endocrinol. Metab. 2016;31(1):38–44. PubMed PMC

Legge S.E., Dennison C.A., Pardiñas A.F., Rees E., Lynham A.J., Hopkins L., Bates L., Kirov G., Owen M.J., O'Donovan M.C., Walters J.T.R. Clinical indicators of treatment-resistant psychosis. Br. J. Psychiatry. 2020:1–8. PubMed

Levine S.Z., Rabinowitz J. Trajectories and antecedents of treatment response over time in early-episode psychosis. Schizophr. Bull. 2010;36(3):624–632. PubMed PMC

Lu F., Petkova E. A comparative study of variable selection methods in the context of developing psychiatric screening instruments. Stat. Med. 2014;33(3):401–421. PubMed PMC

Malla A., Norman R., Schmitz N., Manchanda R., BÉChard-Evans L., Takhar J., Haricharan R.A.J. Predictors of rate and time to remission in first-episode psychosis: a two-year outcome study. Psychol. Med. 2006;36(5):649–658. PubMed

Mørup M.F., Kymes S.M., Oudin Åström D. A modelling approach to estimate the prevalence of treatment-resistant schizophrenia in the United States. PLoS One. 2020;15(6) PubMed PMC

Murru A., Carpiniello B. Duration of untreated illness as a key to early intervention in schizophrenia: a review. Neurosci. Lett. 2018;669:59–67. PubMed

Nguyen C.D., Carlin J.B., Lee K.J. Model checking in multiple imputation: an overview and case study. Emerg. Themes Epidemiol. 2017;14:8. PubMed PMC

NICE . National Institute for Health and Clinical Excellence: Guidance National Collaborating Centre for Mental Health; London: 2014. Psychosis and Schizophrenia in Adults: Treatment and Management: Updated Edition 2014. PubMed

Nordstroem A.-L., Talbot D., Bernasconi C., Berardo C.G., Lalonde J. Burden of illness of people with persistent symptoms of schizophrenia: a multinational cross-sectional study. Int. J. Soc. Psychiatry. 2017;63(2):139–150. PubMed

Pardiñas A.F., Smart S.E., Willcocks I.R., Holmans P.A., Dennison C.A., Lynham A.J., Legge S.E., Baune B.T., Bigdeli T.B., Cairns M.J., Corvin A., Fanous A.H., Frank J., Kelly B., McQuillin A., Melle I., Mortensen P.B., Mowry B.J., Pato C.N., Periyasamy S., Rietschel M., Rujescu D., Simonsen C., St Clair D., Tooney P., Wu J.Q., Andreassen O.A., Kowalec K., Sullivan P.F., Murray R.M., Owen M.J., MacCabe J.H., O’Donovan M.C., Walters J.T.R., Genetics Workstream of the Schizophrenia Treatment Resistance and Therapeutic Advances (STRATA) Consortium. Schizophrenia Working Group of the Psychiatric Genomics Consortium (PGC) Interaction testing and polygenic risk scoring to estimate the association of common genetic variants with treatment resistance in schizophrenia. JAMA Psychiatry. 2022;79(3):260–269. PubMed PMC

Pavlou M., Ambler G., Seaman S., De Iorio M., Omar R.Z. Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events. Stat. Med. 2016;35(7):1159–1177. PubMed PMC

Perkins N.J., Schisterman E.F. The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. Am. J. Epidemiol. 2006;163(7):670–675. PubMed PMC

Perlman K., Benrimoh D., Israel S., Rollins C., Brown E., Tunteng J.F., You R., You E., Tanguay-Sela M., Snook E., Miresco M., Berlim M.T. A systematic meta-review of predictors of antidepressant treatment outcome in major depressive disorder. J. Affect. Disord. 2019;243:503–515. PubMed

Polese D., Fornaro M., Palermo M., De Luca V., de Bartolomeis A. Treatment-resistant to antipsychotics: a resistance to everything? Psychotherapy in treatment-resistant schizophrenia and nonaffective psychosis: a 25-year systematic review and exploratory meta-analysis. Front Psychiatry. 2019;10(210) PubMed PMC

Rajji T.K., Ismail Z., Mulsant B.H. Age at onset and cognition in schizophrenia: meta-analysis. Br. J. Psychiatry. 2009;195(4):286–293. PubMed

Rubin D.B. John Wiley & Sons; New York, NY: 1987. Multiple Imputation for Nonresponse in Surveys.

Salvador R., Radua J., Canales-Rodriguez E.J., Solanes A., Sarro S., Goikolea J.M., Valiente A., Monte G.C., Natividad M.D.C., Guerrero-Pedraza A., Moro N., Fernandez-Corcuera P., Amann B.L., Maristany T., Vieta E., McKenna P.J., Pomarol-Clotet E. Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis. PLoS One. 2017;12(4) PubMed PMC

Samara M.T., Leucht C., Leeflang M.M., Anghelescu I.-G., Chung Y.-C., Crespo-Facorro B., Elkis H., Hatta K., Giegling I., Kane J.M. Early improvement as a predictor of later response to antipsychotics in schizophrenia: a diagnostic test review. Am. J. Psychiatry. 2015;172(7):617–629. PubMed

Seijo-Pardo B., Alonso-Betanzos A., Bennett K.P., Bolón-Canedo V., Josse J., Saeed M., Guyon I. Biases in feature selection with missing data. Neurocomputing. 2019;342:97–112.

Shmueli G. To explain or to predict? Stat. Sci. 2010;25(3):289–310.

Siskind D., Siskind V., Kisely S. Clozapine response rates among people with treatment-resistant schizophrenia: data from a systematic review and meta-analysis. Can. J. Psychiatr. 2017;62(11):772–777. PubMed PMC

Siskind D., Orr S., Sinha S., Yu O., Brijball B., Warren N., MacCabe J.H., Smart S.E., Kisely S. Rates of treatment-resistant schizophrenia from first-episode cohorts: systematic review and meta-analysis. Br. J. Psychiatry. 2022;220(3):115–120. doi: 10.1192/bjp.2021.61. PubMed DOI

Smart S.E., Kępińska A.P., Murray R.M., MacCabe J.H. Predictors of treatment resistant schizophrenia: a systematic review of prospective observational studies. Psychol. Med. 2021;51(1):44–53. PubMed PMC

Spaniel F., Tintera J., Rydlo J., Ibrahim I., Kasparek T., Horacek J., Zaytseva Y., Matejka M., Fialova M., Slovakova A., Mikolas P., Melicher T., Gornerova N., Hoschl C., Hajek T. Altered neural correlate of the self-agency experience in first-episode schizophrenia-Spectrum patients: an fMRI study. Schizophr. Bull. 2016;42(4):916–925. PubMed PMC

Stekhoven D.J., Buhlmann P. MissForest–non-parametric missing value imputation for mixed-type data. Bioinformatics. 2012;28(1):112–118. PubMed

Steyerberg E.W. 2nd ed. Springer Science & Business Media; 2008. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating.

Stokes I., Griffiths S.L., Jones R., Everard L., Jones P.B., Fowler D., Hodgekins J., Amos T., Freemantle N., Sharma V., Marshall M., Singh S.P., Birchwood M., Upthegrove R. Prevalence of treatment resistance and clozapine use in early intervention services. BJPsych Open. 2020;6(5) PubMed PMC

Szymanski S., Lieberman J.A., Alvir J.M., Mayerhoff D., Loebel A., Geisler S., Chakos M., Koreen A., Jody D., Kane J., et al. Gender differences in onset of illness, treatment response, course, and biologic indexes in first-episode schizophrenic patients. Am. J. Psychiatry. 1995;152(5):698–703. PubMed

Tarricone I., Mimmi S., Paparelli A., Rossi E., Mori E., Panigada S., Carchia G., Bandieri V., Michetti R., Minenna G., Boydell J., Morgan C., Berardi D. First-episode psychosis at the West Bologna community mental health Centre: results of an 8-year prospective study. Psychol. Med. 2012;42(11):2255–2264. PubMed

Turkington A., Mulholland C.C., Rushe T.M., Anderson R., McCaul R., Barrett S.L., Barr R.S., Cooper S.J. Impact of persistent substance misuse on 1-year outcome in first-episode psychosis. Br. J. Psychiatry. 2018;195(3):242–248. PubMed

Üçok A., Serbest S., Kandemir P.E. Remission after first-episode schizophrenia: results of a long-term follow-up. Psychiatry Res. 2011;189(1):33–37. PubMed

van Buuren S., Groothuis-Oudshoorn K. mice: Multivariate Imputation by Chained Equations in R. 45(3) 2011. p. 67.

Vickers A.J., Kramer B.S., Baker S.G. Selecting patients for randomized trials: a systematic approach based on risk group. Trials. 2006;7(1):30. PubMed PMC

Warnez S., Alessi-Severini S. Clozapine: a review of clinical practice guidelines and prescribing trends. BMC Psychiatry. 2014;14(1):102. PubMed PMC

Wimberley T., Stovring H., Sorensen H.J., Horsdal H.T., MacCabe J.H., Gasse C. Predictors of treatment resistance in patients with schizophrenia: a population-based cohort study. Lancet Psychiatry. 2016;3(4):358–366. PubMed

Youden W.J. Index for rating diagnostic tests. Cancer. 1950;3(1):32–35. PubMed

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...