Browsing by Author "Lipton, Richard B."

Now showing 1 - 10 of 11
  • Thumbnail Image
    Item
    Additive Impact of Cardiometabolic Multimorbidity and Depression on Cognitive Decline: Findings from Multi‐Regional Cohorts and Generalization from Community to Clinic
    (Wiley, 2025-01-09) Zhao, Xuhao; Yan, Yifan; Lipnicki, Darren M.; Pang, Ting; Chen, Christopher; Wong, Tien Yin; Cheng, Ching Yu; Venketasubramanian, Narayanaswamy; Chong, Eddie; Costa, Erico; Lipton, Richard B.; Katz, Mindy J.; Ritchie, Karen; Carriere, Isabelle; Scarmeas, Nikolaos; Gureje, Oye; Hendrie, Hugh C.; Gao, Sujuan; Guerra, Ricardo Oliveira; Rolandi, Elena; Riedel-Heller, Steffi G.; Ganguli, Mary; Aiello, Allison E.; Ho, Roger Chun-Man; Sanchez-Juan, Pascual; Lobo, Antonio; Sachdev, Perminder S.; Xu, Xiaolin; Xu, Xin; Psychiatry, School of Medicine
    Background: To estimate the additive associations of cardiometabolic multimorbidity (CMM) and depression on long‐term cognitive trajectory in multi‐regional cohorts and validate the generalizability of the findings in varying clinical settings. Method: Data harmonization was performed across 14 longitudinal cohort studies within the Cohort Studies of Memory in an International Consortium (COSMIC) group, spanning North America, South America, Europe, Africa, Asia, and Australia. Three external validation studies with distinct settings were employed to assess generalizability. Cross‐sectional and longitudinal analyses were conducted. CMM was defined as: 1) CMM5: ≥ 2 among hypertension, hyperlipidemia, diabetes mellitus, stroke, and heart disease and 2) CMM3 (aligned with previous studies): ≥ 2 among diabetes mellitus, stroke, and heart disease. Depression was identified using the Geriatric Depression Scale, Center for Epidemiological Studies‐Depression scale, or medical history. A one‐step individual participant data meta‐analysis was utilized to investigate associations between the co‐occurrence of CMM and depression and cognitive outcomes in the COSMIC studies. Stratified analyses were conducted based on baseline dementia status, demographics, and APOE genotype. Repeated analyses were performed in external validation studies for generalization. Result: Of the 32,450 older adults in the 14 COSMIC cohorts, we included 31,243 participants with complete data on CMM, depression, and cognitive assessment for cross‐sectional analyses. Among them, 23,242 who had at least 1 follow‐up cognitive assessment were included in the longitudinal analyses. From the three external studies we included 1964 participants, representing 3 multi‐ethnic Asian elderly cohorts (community cohort, memory clinic cohort, and stroke cohort). In the COSMIC studies analysis, the co‐occurrence of CMM and depression was associated with both cross‐sectional cognitive performance (β = ‐0.20, 95%CI = (‐0.25,‐0.16) for CMM5 and depression, β = ‐0.17, (95%CI = ‐0.044,‐0.031) for CMM3 and depression), and rate of cognitive decline (β = ‐0.038, 95%CI = (‐0.25,‐0.16) for CMM5 and depression, β = ‐0.023, (95%CI = ‐0.036, ‐0.009) for CMM3 and depression). This combined effect remained consistent across different subgroups particularly among participants without dementia. These findings were reproduced in the three external validation studies. Conclusion: Our study demonstrated an additive effect between CMM and depression on cognitive decline. Targeting both cardiometabolic and psychological conditions could lead to greater effectiveness in delaying or preventing cognitive decline.
  • Thumbnail Image
    Item
    Development and Psychometric Evaluation of the Test of Practical Judgment Alternate Form (Form B)
    (Taylor & Francis, 2023) Guayara-Quinn, Crystal G.; Paré, Nadia; Scott, Rachael L.; Sepulveda, Camila A.; Katz, Mindy J.; Lipton, Richard B.; Schaefer, Lynn A.; Saykin, Andrew J.; Rabin, Laura A.; Radiology and Imaging Sciences, School of Medicine
    The Test of Practical Judgment (TOP-J) is increasingly used by neuropsychologists to measure everyday judgment ability in older adulthood. In the present study, we developed an alternate TOP-J Form B, which may be used to reduce practice effects for repeat assessment situations or in place of the original Form A. In developing the measure, special attention was given to limiting cultural bias and making items similar in content and difficulty to Form A. The TOP-J Form B was piloted in a clinical geriatric sample (N = 77) in the Midwestern U.S. Subsequently, older adults (N = 130) were recruited from several boroughs of New York City and surrounding areas (mean age = 77; mean years of education = 16; 69% female; 28% Black/African-American, 11% Hispanic). In this validation sample, both the 9-item and 15-item versions of the TOP-J Form B showed strong psychometric properties, including good unidimensional model fit in confirmatory factor analysis, preliminary convergent/divergent and criterion validity evidence, and strong inter-rater reliability, ICC (2, 1) = .93. The means and standard deviations for the TOP-J Form A and Form B were highly similar, particularly for the 9-item forms in which there was less than a one-point mean difference. Preliminary normative data for cognitively intact participants (n = 73) were established. We present means and standard deviations that will allow for the calculation of z scores as Form B scores were normally distributed. The newly developed TOP-J Form B should be useful in diverse clinical and research settings.
  • Thumbnail Image
    Item
    Does the Cognitive Change Index Predict Future Cognitive and Clinical Decline? Longitudinal Analysis in a Demographically Diverse Cohort
    (Sage, 2024) Nester, Caroline O.; Gao, Qi; Katz, Mindy J.; Mogle, Jacqueline A.; Wang, Cuiling; Derby, Carol A.; Lipton, Richard B.; Saykin, Andrew J.; Rabin, Laura A.; Radiology and Imaging Sciences, School of Medicine
    Background: The Cognitive Change Index (CCI) is a widely-used measure of self-perceived cognitive ability and change. Unfortunately, it is unclear if the CCI predicts future cognitive and clinical decline. Objective: We evaluated baseline CCI to predict transition from normal cognition to cognitive impairment in nondemented older adults and in predementia groups including, subjective cognitive decline, motoric cognitive risk syndrome, and mild cognitive impairment. Different versions of the CCI were assessed to uncover any differential risk sensitivity. We also examined the effect of ethnicity/race on CCI. Methods: Einstein Aging Study participants (N = 322, Mage = 77.57±4.96, % female=67.1, Meducation = 15.06±3.54, % non-Hispanic white = 46.3) completed an expanded 40-item CCI version (CCI-40) and neuropsychological evaluation (including Clinical Dementia Rating Scale [CDR], Montreal Cognitive Assessment, and Craft Story) at baseline and annual follow-up (Mfollow - up=3.4 years). CCI-40 includes the original 20 items (CCI-20) and the first 12 memory items (CCI-12). Linear mixed effects models (LME) and generalized LME assessed the association of CCI total scores at baseline with rate of decline in neuropsychological tests and CDR. Results: In the overall sample and across predementia groups, the CCI was associated with rate of change in log odds on CDR, with higher CCI at baseline predicting faster increase in the odds of being impaired on CDR. The predictive validity of the CCI broadly held across versions (CCI-12, 20, 40) and ethnic/racial groups (non-Hispanic black and white). Conclusions: Self-perception of cognitive change on the CCI is a useful marker of dementia risk in demographically/clinically diverse nondemented samples. All CCI versions successfully predicted decline.
  • Thumbnail Image
    Item
    Frequency, Demographics, Comorbidities, and Health Care Utilization by Veterans With Migraine: A VA Nationwide Cohort Study
    (Wolters Kluwer, 2022) Seng, Elizabeth K.; Fenton, Brenda T.; Wang, Kaicheng; Lipton, Richard B.; Ney, John; Damush, Teresa; Grinberg, Amy S.; Skanderson, Melissa; Sico, Jason J.; Medicine, School of Medicine
    Objective: To describe the relative frequency, demographics, comorbidities, and healthcare utilization of veterans who receive migraine care at the Veteran's Health Administration (VHA) and to evaluate differences by gender. Methods: This study extracted data from VHA administrative sources. Veterans diagnosed with migraine by a healthcare provider between fiscal year 2008-2019 were included. Demographics and military exposures were extracted at cohort entry. Comorbidities were extracted within 18 months of the first migraine diagnosis. Health care utilization and headache comorbidities were extracted across the study period. Differences between men and women were evaluated using chi-square tests and student t-tests. Results: More than half a million (n = 567,121) veterans were diagnosed with migraine during the 12-year study period, accounting for 5.3% of the 10.8 million veterans served in the VHA; in the most recent year of the study period (2019), the annual incidence and one-year period prevalence of medically diagnosed migraine was 2.7% and 13.0% for women, and 0.7% and 2.5% for men. In the total cohort diagnosed with migraine, 27.8% were women and 72.2% men. Among those with diagnosed migraine, a higher proportion of men vs. women also had a TBI diagnosis (3.9% vs. 1.1%; p < 0.001). A higher proportion of women vs. men reported military sexual trauma (35.5% vs. 3.5%; p < 0.001). Participants with diagnosed migraine had an average of 1.44 (SD 1.73) annual encounters for headache. Primary care was the most common headache care setting (88.1%); almost one-fifth of veterans with diagnosed migraine sought care in the ED at least once during the study period. Common comorbidities were overweight/obesity (80.3%), non-headache pain disorders (61.7%), and mental health disorders (48.8%). Conclusions: Migraine is commonly treated in the VHA setting, but likely under ascertained. Most people treated for migraine in the VHA are men. Pain comorbidities and psychiatric disorders are common. Future research should identify methods to improve diagnosis and treatment and to reduce use of the emergency department.
  • Thumbnail Image
    Item
    Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing
    (Springer Nature, 2019-03) Kunkle, Brian W.; Grenier-Boley, Benjamin; Sims, Rebecca; Bis, Joshua C.; Damotte, Vincent; Naj, Adam C.; Boland, Anne; Vronskaya, Maria; van der Lee, Sven J.; Amlie-Wolf, Alexandre; Bellenguez, Céline; Frizatti, Aura; Chouraki, Vincent; Martin, Eden R.; Sleegers, Kristel; Badarinarayan, Nandini; Jakobsdottir, Johanna; Hamilton-Nelson, Kara L.; Moreno-Grau, Sonia; Olaso, Robert; Raybould, Rachel; Chen, Yuning; Kuzma, Amanda B.; Hiltunen, Mikko; Morgan, Taniesha; Ahmad, Shahzad; Vardarajan, Badri N.; Epelbaum, Jacques; Hoffmann, Per; Boada, Merce; Beecham, Gary W.; Garnier, Jean-Guillaume; Harold, Denise; Fitzpatrick, Annette L.; Valladares, Otto; Moutet, Marie-Laure; Gerrish, Amy; Smith, Albert V.; Qu, Liming; Bacq, Delphine; Denning, Nicola; Jian, Xueqiu; Zhao, Yi; Del Zompo, Maria; Fox, Nick C.; Choi, Seung-Hoan; Mateo, Ignacio; Hughes, Joseph T.; Adams, Hieab H.; Malamon, John; Sanchez-Garcia, Florentino; Patel, Yogen; Brody, Jennifer A.; Dombroski, Beth A.; Deniz Naranjo, Maria Candida; Daniilidou, Makrina; Eiriksdottir, Gudny; Mukherjee, Shubhabrata; Wallon, David; Uphill, James; Aspelund, Thor; Cantwell, Laura B.; Garzia, Fabienne; Galimberti, Daniela; Hofer, Edith; Butkiewicz, Mariusz; Fin, Bertrand; Scarpini, Elio; Sarnowski, Chloe; Bush, Will S.; Meslage, Stéphane; Kornhuber, Johannes; White, Charles C.; Song, Yuenjoo; Barber, Robert C.; Engelborghs, Sebastiaan; Sordon, Sabrina; Voijnovic, Dina; Adams, Perrie M.; Vandenberghe, Rik; Mayhaus, Manuel; Cupples, L. Adrienne; Albert, Marilyn S.; De Deyn, Peter P.; Gu, Wei; Himali, Jayanadra J.; Beekly, Duane; Squassina, Alessio; Hartmann, Annette M.; Orellana, Adelina; Blacker, Deborah; Rodriguez-Rodriguez, Eloy; Lovestone, Simon; Garcia, Melissa E.; Doody, Rachelle S.; Munoz-Fernadez, Carmen; Sussams, Rebecca; Lin, Honghuang; Fairchild, Thomas J.; Benit, Yolanda A.; Holmes, Clive; Karamujić-Čomić, Hata; Frosch, Matthew P.; Thonberg, Hakan; Maier, Wolfgang; Roshchupkin, Gennady; Ghetti, Bernardino; Giedraitis, Vilmantas; Kawalia, Amit; Li, Shuo; Huebinger, Ryan M.; Kilander, Lena; Moebus, Susanne; Hernández, Isabel; Kamboh, M. Ilyas; Brundin, RoseMarie; Turton, James; Yang, Qiong; Katz, Mindy J.; Concari, Letizia; Lord, Jenny; Beiser, Alexa S.; Keene, C. Dirk; Helisalmi, Seppo; Kloszewska, Iwona; Kukull, Walter A.; Koivisto, Anne Maria; Lynch, Aoibhinn; Tarraga, Lluís; Larson, Eric B.; Haapasalo, Annakaisa; Lawlor, Brian; Mosley, Thomas H.; Lipton, Richard B.; Solfrizzi, Vincenzo; Gill, Michael; Longstreth, W. T., Jr.; Montine, Thomas J.; Frisardi, Vincenza; Diez-Fairen, Monica; Rivadeneira, Fernando; Petersen, Ronald C.; Deramecourt, Vincent; Alvarez, Ignacio; Salani, Francesca; Ciaramella, Antonio; Boerwinkle, Eric; Reiman, Eric M.; Fievet, Nathalie; Rotter, Jerome I.; Reisch, Joan S.; Hanon, Olivier; Cupidi, Chiara; Uitterlinden, A. G. Andre; Royall, Donald R.; Dufouil, Carole; Maletta, Raffaele Giovanni; de Rojas, Itziar; Sano, Mary; Brice, Alexis; Cecchetti, Roberta; St. George-Hyslop, Peter; Ritchie, Karen; Tsolaki, Magda; Tsuang, Debby W.; Dubois, Bruno; Craig, David; Wu, Chuang-Kuo; Soininen, Hilkka; Avramidou, Despoina; Albin, Roger L.; Fratiglioni, Laura; Germanou, Antonia; Apostolova, Liana G.; Keller, Lina; Koutroumani, Maria; Arnold, Steven E.; Panza, Francesco; Gkatzima, Olymbia; Asthana, Sanjay; Hannequin, Didier; Whitehead, Patrice; Atwood, Craig S.; Caffarra, Paolo; Hampel, Harald; Quintela, Inés; Carracedo, Ángel; Lannfelt, Lars; Rubinsztein, David C.; Barnes, Lisa L.; Pasquier, Florence; Frölich, Lutz; Barral, Sandra; McGuinness, Bernadette; Beach, Thomas G .; Johnston, Janet A.; Becker, James T.; Passmore, Peter; Bigio, Eileen H.; Schott, Jonathan M.; Bird, Thomas D.; Warren, Jason D.; Boeve, Bradley F.; Lupton, Michelle K.; Bowen, James D.; Proitsi, Petra; Boxer, Adam; Powell, John F.; Burke, James R.; Kauwe, John S.K.; Burns, Jeffrey M.; Mancuso, Michelangelo; Buxbaum, Joseph D.; Bonuccelli, Ubaldo; Cairns, Nigel J.; McQuillin, Andrew; Cao, Chuanhai; Livingston, Gill; Carlson, Chris S.; Bass, Nicholas J.; Carlsson, Cynthia M.; Hardy, John; Carney, Regina M.; Bras, Jose; Carrasquillo, Minerva M.; Guerreiro, Rita; Allen, Mariet; Chui, Helena C.; Fisher, Elizabeth; Masullo, Carlo; Crocco, Elizabeth A.; DeCarli, Charles; Bisceglio, Gina; Dick, Malcolm; Ma, Li; Duara, Ranjan; Graff-Radford, Neill R.; Evans, Denis A.; Hodges, Angela; Faber, Kelley M.; Scherer, Martin; Fallon, Kenneth B.; Riemenschneider, Matthias; Fardo, David W.; Heun, Reinhard; Farlow, Martin R.; Kölsch, Heike; Ferris, Steven; Leber, Markus; Foroud, Tatiana M.; Heuser, Isabella; Galasko, Douglas R.; Giegling, Ina; Gearing, Marla; Hüll, Michael; Geschwind, Daniel H.; Gilbert, John R.; Morris, John; Green, Robert C.; Mayo, Kevin; Growdon, John H.; Feulner, Thomas; Hamilton, Ronald L.; Harrell, Lindy E.; Drichel, Dmitriy; Honig, Lawrence S.; Cushion, Thomas D.; Huentelman, Matthew J.; Hollingworth, Paul; Hulette, Christine M.; Hyman, Bradley T.; Marshall, Rachel; Jarvik, Gail P.; Meggy, Alun; Abner, Erin; Menzies, Georgina E.; Jin, Lee-Way; Leonenko, Ganna; Real, Luis M.; Jun, Gyungah R.; Baldwin, Clinton T.; Grozeva, Detelina; Karydas, Anna; Russo, Giancarlo; Kaye, Jeffrey A.; Kim, Ronald; Jessen, Frank; Kowall, Neil W.; Vellas, Bruno; Kramer, Joel H.; Vardy, Emma; LaFerla, Frank M.; Jöckel, Karl-Heinz; Lah, James J.; Dichgans, Martin; Leverenz, James B.; Mann, David; Levey, Allan I.; Pickering-Brown, Stuart; Lieberman, Andrew P.; Klopp, Norman; Lunetta, Kathryn L.; Wichmann, H-Erich; Lyketsos, Constantine G.; Morgan, Kevin; Marson, Daniel C.; Brown, Kristelle; Martiniuk, Frank; Medway, Christopher; Mash, Deborah C.; Nöthen, Markus M.; Masliah, Eliezer; Hooper, Nigel M.; McCormick, Wayne C.; Daniele, Antonio; McCurry, Susan M.; Bayer, Anthony; McDavid, Andrew N.; Gallacher, John; McKee, Ann C.; van den Bussche, Hendrik; Mesulam, Marsel; Brayne, Carol; Miller, Bruce L.; Riedel-Heller, Steffi; Miller, Carol A.; Miller, Joshua W.; Al-Chalabi, Ammar; Morris, John C.; Shaw, Christopher E.; Myers, Amanda J.; Wiltfang, Jens; O'Bryant, Sid; Olichney, John M.; Alvarez, Victoria; Parisi, Joseph E.; Singleton, Andrew B.; Paulson, Henry L.; Collinge, John; Perry, William R.; Mead, Simon; Peskind, Elaine; Cribbs, David H.; Rossor, Martin; Pierce, Aimee; Ryan, Natalie S.; Poon, Wayne W.; Nacmias, Benedetta; Potter, Huntington; Sorbi, Sandro; Quinn, Joseph F.; Sacchinelli, Eleonora; Raj, Ashok; Spalletta, Gianfranco; Raskind, Murray; Caltagirone, Carlo; Bossù, Paola; Orfei, Maria Donata; Reisberg, Barry; Clarke, Robert; Reitz, Christiane; Smith, A. David; Ringman, John M.; Warden, Donald; Roberson, Erik D.; Wilcock, Gordon; Rogaeva, Ekaterina; Bruni, Amalia Cecilia; Rosen, Howard J.; Gallo, Maura; Rosenberg, R.N.; Ben-Shlomo, Yoav; Sager, Mark A.; Mecocci, Patrizia; Saykin, Andrew J.; Pastor, Pau; Cuccaro, Michael L.; Vance, Jeffery M.; Schneider, Julie A.; Schneider, Lori S.; Slifer, Susan; Seeley, William W.; Smith, Amanda G.; Sonnen, Joshua A.; Spina, Salvatore; Stern, Robert A.; Swerdlow, Russell H.; Tang, Mitchell; Tanzi, Rudolph E.; Trojanowski, John Q.; Troncoso, Juan C.; Van Deerlin, Vivianna M.; Van Eldik, Linda J.; Vinters, Harry V.; Vonsattel, Jean Paul; Weintraub, Sandra; Welsh-Bohmer, Kathleen A.; Wilhelmsen, Kirk C.; Williamson, Jennifer; Wingo, Thomas S.; Woltjer, Randall L.; Wright, Clinton B.; Yu, Chang-En; Yu, Lei; Saba, Yasaman; Pilotto, Alberto; Bullido, Maria J.; Peters, Oliver; Crane, Paul K.; Bennett, David; Bosco, Paola; Coto, Eliecer; Boccardi, Virginia; De Jager, Phil L.; Lleo, Alberto; Warner, Nick; Lopez, Oscar L.; Ingelsson, Martin; Deloukas, Panagiotis; Cruchaga, Carlos; Graff, Caroline; Gwilliam, Rhian; Fornage, Myriam; Goate, Alison M.; Sanchez-Juan, Pascual; Kehoe, Patrick G.; Amin, Najaf; Ertekin-Taner, Nilifur; Berr, Claudine; Debette, Stéphanie; Love, Seth; Launer, Lenore J.; Younkin, Steven G.; Dartigues, Jean-Francois; Corcoran, Chris; Ikram, M. Arfan; Dickson, Dennis W.; Nicolas, Gael; Campion, Dominique; Tschanz, JoAnn; Schmidt, Helena; Hakonarson, Hakon; Clarimon, Jordi; Munger, Ron; Schmidt, Reinhold; Farrer, Lindsay A.; Van Broeckhoven, Christine; O'Donovan, Michael C.; DeStefano, Anita L.; Jones, Lesley; Haines, Jonathan L.; Deleuze, Jean-Francois; Owen, Michael J.; Gudnason, Vilmundur; Mayeux, Richard; Escott-Price, Valentina; Psaty, Bruce M.; Ramirez, Alfredo; Wang, Li-San; Ruiz, Agustin; van Duijn, Cornelia M.; Holmans, Peter A.; Seshadri, Sudha; Williams, Julie; Amouyel, Phillippe; Schellenberg, Gerard D.; Lambert, Jean-Charles; Pericak-Vance, Margaret A.; Pathology and Laboratory Medicine, School of Medicine
    Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer's or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer's disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 × 10-7), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.
  • Thumbnail Image
    Item
    Independent and joint associations of cardiometabolic multimorbidity and depression on cognitive function: findings from multi-regional cohorts and generalisation from community to clinic
    (Elsevier, 2024-09-12) Zhao, Xuhao; Xu, Xiaolin; Yan, Yifan; Lipnicki, Darren M.; Pang, Ting; Crawford, John D.; Chen, Christopher; Cheng, Ching-Yu; Venketasubramanian, Narayanaswamy; Chong, Eddie; Blay, Sergio Luis; Lima-Costa, Maria Fernanda; Castro-Costa, Erico; Lipton, Richard B.; Katz, Mindy J.; Ritchie, Karen; Scarmeas, Nikolaos; Yannakoulia, Mary; Kosmidis, Mary H.; Gureje, Oye; Ojagbemi, Akin; Bello, Toyin; Hendrie, Hugh C.; Gao, Sujuan; Guerra, Ricardo Oliveira; Auais, Mohammad; Gomez, José Fernando; Rolandi, Elena; Davin, Annalisa; Rossi, Michele; Riedel-Heller, Steffi G.; Löbner, Margit; Roehr, Susanne; Ganguli, Mary; Jacobsen, Erin P.; Chang, Chung-Chou H.; Aiello, Allison E.; Ho, Roger; Sanchez-Juan, Pascual; Valentí-Soler, Meritxell; Del Ser, Teodoro; Lobo, Antonio; De-la-Cámara, Concepción; Lobo, Elena; Sachdev, Perminder S.; Xu, Xin; Cohort Studies of Memory in an International Consortium (COSMIC); Psychiatry, School of Medicine
    Background: Cardiometabolic multimorbidity (CMM) and depression are often co-occurring in older adults and associated with neurodegenerative outcomes. The present study aimed to estimate the independent and joint associations of CMM and depression on cognitive function in multi-regional cohorts, and to validate the generalizability of the findings in additional settings, including clinical. Methods: Data harmonization was performed across 14 longitudinal cohort studies within the Cohort Studies of Memory in an International Consortium (COSMIC) group, spanning North America, South America, Europe, Africa, Asia, and Australia. Three external validation studies with distinct settings were employed for generalization. Participants were eligible for inclusion if they had data for CMM and were free of dementia at baseline. Baseline CMM was defined as: 1) CMM 5, ≥2 among hypertension, hyperlipidemia, diabetes, stroke, and heart disease and 2) CMM 3 (aligned with previous studies), ≥2 among diabetes, stroke, and heart disease. Baseline depression was primarily characterized by binary classification of depressive symptom measurements, employing the Geriatric Depression Scale and the Center for Epidemiological Studies-Depression scale. Global cognition was standardized as z-scores through harmonizing multiple cognitive measures. Longitudinal cognition was calculated as changes in global cognitive z-scores. A pooled individual participant data (IPD) analysis was utilized to estimate the independent and joint associations of CMM and depression on cognitive outcomes in COSMIC studies, both cross-sectionally and longitudinally. Repeated analyses were performed in three external validation studies. Findings: Of the 32,931 older adults in the 14 COSMIC cohorts, we included 30,382 participants with complete data on baseline CMM, depression, and cognitive assessments for cross-sectional analyses. Among them, 22,599 who had at least 1 follow-up cognitive assessment were included in the longitudinal analyses. The three external studies for validation had 1964 participants from 3 multi-ethnic Asian older adult cohorts in different settings (community-based, memory clinic, and post-stroke study). In COSMIC studies, each of CMM and depression was independently associated with cross-sectional and longitudinal cognitive function, without significant interactions between them (Ps > 0.05). Participants with both CMM and depression had lower cross-sectional cognitive performance (e.g. β = -0.207, 95% CI = (-0.255, -0.159) for CMM5 (+)/depression (+)) and a faster rate of cognitive decline (e.g. β = -0.040, 95% CI = (-0.047, -0.034) for CMM5 (+)/depression (+)), compared with those without either condition. These associations remained consistent after additional adjustment for APOE genotype and were robust in two-step random-effects IPD analyses. The findings regarding the joint association of CMM and depression on cognitive function were reproduced in the three external validation studies. Interpretation: Our findings highlighted the importance of investigating age-related co-morbidities in a multi-dimensional perspective. Targeting both cardiometabolic and psychological conditions to prevent cognitive decline could enhance effectiveness.
  • Thumbnail Image
    Item
    Linking Self-Perceived Cognitive Functioning Questionnaires Using Item Response Theory: The Subjective Cognitive Decline Initiative
    (American Psychological Association, 2023) Rabin, Laura A.; Sikkes, Sietske A. M.; Tommet, Douglas; Jones, Richard N.; Crane, Paul K.; Elbulok-Charcape, Milushka M.; Dubbelman, Mark A.; Koscik, Rebecca; Amariglio, Rebecca E.; Buckley, Rachel F.; Boada, Mercè; Chételat, Gaël; Dubois, Bruno; Ellis, Kathryn A.; Gifford, Katherine A.; Jefferson, Angela L.; Jessen, Frank; Johnson, Sterling; Katz, Mindy J.; Lipton, Richard B.; Luck, Tobias; Margioti, Eleni; Maruff, Paul; Molinuevo, Jose Luis; Perrotin, Audrey; Petersen, Ronald C.; Rami, Lorena; Reisberg, Barry; Rentz, Dorene M.; Riedel-Heller, Steffi G.; Risacher, Shannon L.; Rodriguez-Gomez, Octavio; Sachdev, Perminder S.; Saykin, Andrew J.; Scarmeas, Nikolaos; Smart, Colette; Snitz, Beth E.; Sperling, Reisa A.; Taler, Vanessa; van der Flier, Wiesje M.; van Harten, Argonde C.; Wagner, Michael; Wolfsgruber, Steffen; Alzheimer’s Disease Neuroimaging Initiative; Canadian Longitudinal Study on Aging; Health and Aging Brain Study; Health Disparities (HABS-HD) Study Team; Radiology and Imaging Sciences, School of Medicine
    Objective: Self-perceived cognitive functioning, considered highly relevant in the context of aging and dementia, is assessed in numerous ways-hindering the comparison of findings across studies and settings. Therefore, the present study aimed to link item-level self-report questionnaire data from international aging studies. Method: We harmonized secondary data from 24 studies and 40 different questionnaires with item response theory (IRT) techniques using a graded response model with a Bayesian estimator. We compared item information curves to identify items with high measurement precision at different levels of the self-perceived cognitive functioning latent trait. Data from 53,030 neuropsychologically intact older adults were included, from 13 English language and 11 non-English (or mixed) language studies. Results: We successfully linked all questionnaires and demonstrated that a single-factor structure was reasonable for the latent trait. Items that made the greatest contribution to measurement precision (i.e., "top items") assessed general and specific memory problems and aspects of executive functioning, attention, language, calculation, and visuospatial skills. These top items originated from distinct questionnaires and varied in format, range, time frames, response options, and whether they captured ability and/or change. Conclusions: This was the first study to calibrate self-perceived cognitive functioning data of geographically diverse older adults. The resulting item scores are on the same metric, facilitating joint or pooled analyses across international studies. Results may lead to the development of new self-perceived cognitive functioning questionnaires guided by psychometric properties, content, and other important features of items in our item bank.
  • Thumbnail Image
    Item
    Re-evaluation of Psychometric Evidence and Update of Normative Data for the Test of Practical Judgment
    (Taylor & Francis, 2022) Guayara-Quinn, Crystal G.; Nester, Caroline O.; Katz, Mindy J.; Turbeville, David M.; Saykin, Andrew J.; Lipton, Richard B.; Rabin, Laura A.; Radiology and Imaging Sciences, School of Medicine
    Objective: The Test of Practical Judgment (TOP-J) has shown utility in inpatient and outpatient settings in older adults who present with mild cognitive impairment and various dementia subtypes. The TOP-J has two versions (i.e., 9 items and 15 items), and was initially validated within a small rural non-Hispanic White sample. In the current study, we re-evaluated the psychometric evidence and refined scoring criteria and administration guidelines in older adults with more diverse demographic characteristics than the original validation sample. Method: Participants (N = 348) were recruited from several boroughs of New York City and surrounding areas (mean/median age = 79; mean years education = 15, median = 15.5; 68% female; 30% Black/African-American, 8% Hispanic). Results: Reliability and validity were comparable to original findings. Based on confirmatory factor analysis, one item was replaced on the 9-item version, now called TOP-J Form A. Normative data for cognitively intact participants (n = 261) were updated and stratified by two education groups. Conclusions: The TOP-J is increasingly used in clinical and research settings in the U.S. and abroad, and the current study provides improved normative data and administration and scoring guidelines for use with demographically diverse older individuals.
  • Thumbnail Image
    Item
    Subjective Cognitive Decline in Older Adults: An Overview of Self-Report Measures Used Across 19 International Research Studies
    (IOS Press, 2015-09-24) Rabin, Laura A.; Smart, Colette M.; Crane, Paul K.; Amariglio, Rebecca E.; Berman, Lorin M.; Boada, Mercè; Buckley, Rachel F.; Chételat, Gaël; Dubois, Bruno; Ellis, Kathryn A.; Gifford, Katherine A.; Jefferson, Angela L.; Jessen, Frank; Katz, Mindy J.; Lipton, Richard B.; Luck, Tobias; Maruff, Paul; Mielke, Michelle M.; Molinuevo, José Luis; Naeem, Farnia; Perrotin, Audrey; Petersen, Ronald C.; Rami, Lorena; Reisberg, Barry; Rentz, Dorene M.; Riedel-Heller, Stefi G.; Risacher, Shannon L.; Rodriguez, Octavio; Sachdev, Perminder S.; Saykin, Andrew J.; Slavin, Melissa J.; Snitz, Beth E.; Sperling, Reisa A.; Tandetnik, Caroline; van der Flier, Wiesje M.; Wagner, Michael; Wolfsgruber, Steffen; Sikkes, Sietske A.M.; Department of Radiology and Imaging Sciences, IU School of Medicine
    Research increasingly suggests that subjective cognitive decline (SCD) in older adults, in the absence of objective cognitive dysfunction or depression, may be a harbinger of non-normative cognitive decline and eventual progression to dementia. Little is known, however, about the key features of self-report measures currently used to assess SCD. The Subjective Cognitive Decline Initiative (SCD-I) Working Group is an international consortium established to develop a conceptual framework and research criteria for SCD (Jessen et al., 2014, Alzheimers Dement 10, 844-852). In the current study we systematically compared cognitive self-report items used by 19 SCD-I Working Group studies, representing 8 countries and 5 languages. We identified 34 self-report measures comprising 640 cognitive self-report items. There was little overlap among measures- approximately 75% of measures were used by only one study. Wide variation existed in response options and item content. Items pertaining to the memory domain predominated, accounting for about 60% of items surveyed, followed by executive function and attention, with 16% and 11% of the items, respectively. Items relating to memory for the names of people and the placement of common objects were represented on the greatest percentage of measures (56% each). Working group members reported that instrument selection decisions were often based on practical considerations beyond the study of SCD specifically, such as availability and brevity of measures. Results document the heterogeneity of approaches across studies to the emerging construct of SCD. We offer preliminary recommendations for instrument selection and future research directions including identifying items and measure formats associated with important clinical outcomes
  • Thumbnail Image
    Item
    The Association Between the Occurrence of Common Treatment-Emergent Adverse Events and Efficacy Outcomes After Lasmiditan Treatment of a Single Migraine Attack: Secondary Analyses from Four Pooled Randomized Clinical Trial
    (Springer, 2022) Doty, Erin G.; Hauck, Paula M.; Krege, John H.; Komori, Mika; Hake, Ann M.; Dong, Yan; Lipton, Richard B.; Neurology, School of Medicine
    Background: In controlled clinical trials, compared with placebo, a significantly greater proportion of participants using lasmiditan to treat a migraine attack achieved 2-h pain freedom (PF) and experienced ≥ 1 treatment-emergent adverse event (TEAE). Objective: To better inform clinicians about treatment expectations by evaluating the association between TEAEs and efficacy outcomes after lasmiditan treatment. Methods: Pooled data from SAMURAI, SPARTAN, MONONOFU, and CENTURION were analyzed. A common TEAE (CTEAE) was defined as occurring in ≥ 2% in the overall population. Central nervous system (CNS)-CTEAEs were based on Medical Dictionary for Regulatory Activities. Results: At 2 h, a significantly higher percentage of lasmiditan 200 mg-treated participants who achieved PF experienced ≥ 1 CTEAE than non-responders who continued to experience moderate/severe pain (48.2% vs. 28.7%, respectively). Correspondingly, a significantly higher percentage of lasmiditan 200 mg-treated participants who experienced ≥ 1 CTEAE achieved PF at 2 h than those who did not (39.0% vs. 30.2%, respectively). Similar results were generally observed with individual CNS-CTEAEs, but for non-CNS-CTEAEs, this pattern was less evident or in the opposite direction. No consistent differences were observed for migraine-related functional disability freedom. The percentage of participants with improved patient global impression of change (PGIC) was greater with a CNS-CTEAE versus no CNS-CTEAE. Conclusions: Those who had PF at 2 h were more likely to experience a CNS-CTEAE, and those with CNS-CTEAEs were more likely to experience PF. The occurrence of CTEAEs did not seem to negatively affect disability freedom or PGIC.