Psychometric properties of the MATRICS Consensus Cognitive Battery (MCCB) in Chinese patients with major depressive disorder

Journal of Affective Disorders - Tập 265 - Trang 132-138 - 2020
Sixiang Liang1,2, Wenwen Yu1, Xiaojuan Ma3, Shuqing Luo4, Jian Zhang1, Xia Sun1, Xingguang Luo5, Yong Zhang1
1Tianjin Anding Hospital, Tianjin 300222, China
2The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University & The Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
3Tianjin Medical College, Tianjin, 300222, China
4Department of Obstetrics, Baoding Second Central Hospital, Hebei 072750, China
5Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, United States

Tài liệu tham khảo

Andreasen, 2005, Remission in schizophrenia: proposed criteria and rationale for consensus, Am. J. Psychiatry, 162, 441, 10.1176/appi.ajp.162.3.441 Baer, 2014, Further evidence for the reliability and validity of the Massachusetts General Hospital Cognitive and Physical Functioning Questionnaire (CPFQ), Ann. Clin. Psychiatry, 26, 270 Bech, 2011, From items to syndromes in the Hypomania Checklist (HCL-32): psychometric validation and clinical validity analysis, J. Affect. Disord., 132, 48, 10.1016/j.jad.2011.01.017 Bo, 2011, Cognitive impairment in the remitted state of unipolar depressive disorder: a systematic review, J. Affect. Disord., 134, 20, 10.1016/j.jad.2010.11.011 Burdick, 2011, The MATRICS consensus cognitive battery in patients with bipolar I disorder, Neuropsychopharmacology, 36, 1587, 10.1038/npp.2011.36 Burton, 2013, Factor structure of the MATRICS Consensus Cognitive Battery (MCCB) in schizophrenia, Schizophr. Res., 146, 244, 10.1016/j.schres.2013.02.026 Carey, 2004, Predictive validity of global deficit scores in detecting neuropsychological impairment in HIV infection, J. Clin. Exp. Neuropsychol., 26, 307, 10.1080/13803390490510031 Clark, 2016, Cognitive dysfunction and work productivity in major depressive disorder, Expert Rev. Pharmacoecon. Outcomes Res., 16, 455, 10.1080/14737167.2016.1195688 Conradi, 2011, Presence of individual (residual) symptoms during depressive episodes and periods of remission: a 3-year prospective study, Psychol. Med., 41, 1165, 10.1017/S0033291710001911 Damian, 2011, The Montreal Cognitive Assessment and the mini-mental state examination as screening instruments for cognitive impairment: item analyses and threshold scores, Dement. Geriatr. Cognit. Disord., 31, 126, 10.1159/000323867 Dillon, 2014, Geriatric depression and its relation with cognitive impairment and dementia, Arch. Gerontol. Geriatr., 59, 450, 10.1016/j.archger.2014.04.006 First, 2014, Structured clinical interview for the DSM (SCID), Encycl. Clin. Psychol., 1 Fonseca, 2017, The Brazilian standardization of the MATRICS consensus cognitive battery (MCCB): psychometric study, Schizophr. Res., 185, 148, 10.1016/j.schres.2017.01.006 Forty, 2010, Reducing the Hypomania Checklist (HCL-32) to a 16-item version, J. Affect. Disord., 124, 351, 10.1016/j.jad.2010.01.004 Freitas, 2013, Montreal cognitive assessment: validation study for mild cognitive impairment and Alzheimer disease, Alzheimer Dis. Assoc. Disord., 27, 37, 10.1097/WAD.0b013e3182420bfe Fujiwara, 2010, Brief screening tool for mild cognitive impairment in older Japanese: validation of the Japanese version of the Montreal Cognitive Assessment, Geriatr. Gerontol. Int., 10, 225, 10.1111/j.1447-0594.2010.00585.x Ghodadra, 2016, Principal component analysis of diffusion tensor images to determine white matter injury patterns underlying postconcussive headache, AJNR Am. J. Neuroradiol., 37, 274, 10.3174/ajnr.A4505 Hasselbalch, 2012, Cognitive deficits in the remitted state of unipolar depressive disorder, Neuropsychology, 26, 642, 10.1037/a0029301 Hsu, 2015, Comparison of cognitive deficits among drug-naive patients with schizophrenia and major depressive disorder, J. Affect. Disord., 175, 133, 10.1016/j.jad.2014.12.059 Kaneda, 2013, Measurement and treatment research to improve cognition in Schizophrenia Consensus Cognitive Battery: validation of the Japanese version, Psychiatry Clin. Neurosci., 67, 182, 10.1111/pcn.12029 Kaya, 2014, Validation of Montreal Cognitive Assessment and discriminant power of Montreal Cognitive Assessment subtests in patients with mild cognitive impairment and Alzheimer dementia in Turkish population, J. Geriatr. Psychiatry Neurol., 27, 103, 10.1177/0891988714522701 Khan, 2010, Why has the antidepressant-placebo difference in antidepressant clinical trials diminished over the past three decades?, CNS Neurosci. Ther., 16, 217, 10.1111/j.1755-5949.2010.00151.x Kim, 2017, Comparing the screening property of the shortened versions of the Hypomania Checklist-32 (HCL-32): cross-validation in Korean patients with bipolar disorder and major depressive disorder, J. Affect. Disord., 227, 384, 10.1016/j.jad.2017.11.008 Kline, 2000 Kumar, 2016, Subjective symptoms in euthymic bipolar disorder and remitted Schizophrenia patients: a comparative study, Indian J. Psychol. Med., 38, 109, 10.4103/0253-7176.178771 Lako, 2012, A systematic review of instruments to measure depressive symptoms in patients with schizophrenia, J. Affect. Disord., 140, 38, 10.1016/j.jad.2011.10.014 Lim, 2013, Sensitivity of cognitive tests in four cognitive domains in discriminating MDD patients from healthy controls: a meta-analysis, Int. Psychogeriatr., 25, 1543, 10.1017/S1041610213000689 Lo, 2016, A confirmatory factor analysis of the MATRICS consensus cognitive battery in severe mental illness, Schizophr. Res., 175, 79, 10.1016/j.schres.2016.03.013 Mandelli, 2006, Improvement of cognitive functioning in mood disorder patients with depressive symptomatic recovery during treatment: an exploratory analysis, Psychiatry Clin. Neurosci., 60, 598, 10.1111/j.1440-1819.2006.01564.x McCleery, 2015, Latent structure of cognition in schizophrenia: a confirmatory factor analysis of the MATRICS Consensus Cognitive Battery (MCCB), Psychol. Med., 45, 2657, 10.1017/S0033291715000641 Mohn, 2017, Factor analyzing the Norwegian MATRICS Consensus Cognitive Battery, Psychiatry Clin. Neurosci., 71, 336, 10.1111/pcn.12513 Mohn, 2016, Neurocognitive profile in major depressive disorders: relationship to symptom level and subjective memory complaints, BMC Psychiatry, 16, 108, 10.1186/s12888-016-0815-8 Nasreddine, 2005, The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment, J. Am. Geriatr. Soc., 53, 695, 10.1111/j.1532-5415.2005.53221.x Nenadic, 2015, Cognitive function in euthymic bipolar disorder (BP I) patients with a history of psychotic symptoms vs. schizophrenia, Psychiatry Res., 230, 65, 10.1016/j.psychres.2015.08.012 Nuechterlein, 2008, The MATRICS Consensus Cognitive Battery, part 1: test selection, reliability, and validity, Am. J. Psychiatry, 165, 203, 10.1176/appi.ajp.2007.07010042 Oertel-Knöchel, 2014, Effects of aerobic exercise on cognitive performance and individual psychopathology in depressive and schizophrenia patients, Eur. Arch. Psychiatry Clin. Neurosci., 264, 589, 10.1007/s00406-014-0485-9 Paradiso, 1997, Cognitive impairment in the euthymic phase of chronic unipolar depression, J. Nerv. Ment. Dis., 185, 748, 10.1097/00005053-199712000-00005 Reischies, 2000, Comorbidity of mild cognitive disorder and depression–a neuropsychological analysis, Eur. Arch. Psychiatry Clin. Neurosci., 250, 186, 10.1007/s004060070023 Rosenblat, 2015, The cognitive effects of antidepressants in major depressive disorder: a systematic review and meta-analysis of randomized clinical trials, Int. J. Neuropsychopharmacol., 19, 1 Russo, 2015, MEASURING cognitive function in MDD: emerging assessment tools, Depress. Anxiety, 32, 262, 10.1002/da.22297 Samalin, 2016, Residual symptoms and specific functional impairments in euthymic patients with bipolar disorder, Bipolar Disord., 18, 164, 10.1111/bdi.12376 Shi, 2015, The MATRICS Consensus Cognitive Battery (MCCB): co-norming and standardization in China, Schizophr. Res., 169, 109, 10.1016/j.schres.2015.09.003 Srisurapanont, 2017, Internal consistency and concurrent validity of the Montreal Cognitive Assessment in individuals with major depressive disorder, Psychiatry Res., 26, 333, 10.1016/j.psychres.2017.04.014 Terachi, 2017, Psychiatry Res, 254, 205, 10.1016/j.psychres.2017.04.058 Tsai, 2016, Comparing the sensitivity, specificity, and predictive values of the Montreal Cognitive Assessment and mini-mental state examination when screening people for mild cognitive impairment and dementia in chinese population, Arch. Psychiatr. Nurs., 30, 486, 10.1016/j.apnu.2016.01.015 Van Rheenen, 2014, An empirical evaluation of the MATRICS Consensus Cognitive Battery in bipolar disorder, Bipolar Disord., 16, 318, 10.1111/bdi.12134 Vives, 2015, Cognitive impairments and depression: a critical review, Actas Esp. Psiquiatr., 43, 187 Xin, 2014 Xu, 2012, Neuropsychological performance in bipolar I, bipolar II and unipolar depression patients: a longitudinal, naturalistic study, J. Affect. Disord., 136, 328, 10.1016/j.jad.2011.11.029 Yatham, 2010, The International Society for Bipolar Disorders–battery for assessment of neurocognition (ISBD–BANC), Bipolar Disord., 12, 351, 10.1111/j.1399-5618.2010.00830.x Youden, 1950, Index for rating diagnostic tests, Cancer, 3, 32, 10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3 Zhang, 2014, Performance on the Wisconsin card-sorting test and serum levels of glial cell line-derived neurotrophic factor in patients with major depressive disorder, Asia Pac. Psychiatry, 6, 302, 10.1111/appy.12120 Zhang, 2018, Psychometric properties of the Chinese version of the Functioning Assessment Short Test (FAST) in bipolar disorder, J. Affect. Disord., 238, 156, 10.1016/j.jad.2018.05.019