The Multidimensional Prognostic Index predicts incident delirium among hospitalized older patients with COVID-19: a multicenter prospective European study
Jazyk angličtina Země Švýcarsko Médium print-electronic
Typ dokumentu časopisecké články, multicentrická studie
PubMed
38878221
PubMed Central
PMC11377617
DOI
10.1007/s41999-024-00987-y
PII: 10.1007/s41999-024-00987-y
Knihovny.cz E-zdroje
- Klíčová slova
- COVID-19, Comprehensive geriatric assessment, Delirium prediction, Multidimensional Prognostic Index, Older people,
- MeSH
- COVID-19 * komplikace epidemiologie diagnóza MeSH
- delirium * diagnóza epidemiologie MeSH
- geriatrické hodnocení * metody MeSH
- hodnocení rizik MeSH
- hospitalizace * statistika a číselné údaje MeSH
- incidence MeSH
- lidé MeSH
- prognóza MeSH
- prospektivní studie MeSH
- rizikové faktory MeSH
- SARS-CoV-2 MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- Geografické názvy
- Evropa epidemiologie MeSH
PURPOSE: Incident delirium is a frequent complication among hospitalized older people with COVID-19, associated with increased length of hospital stay, higher morbidity and mortality rates. Although delirium is preventable with early detection, systematic assessment methods and predictive models are not universally defined, thus delirium is often underrated. In this study, we tested the role of the Multidimensional Prognostic Index (MPI), a prognostic tool based on Comprehensive Geriatric Assessment, to predict the risk of incident delirium. METHODS: Hospitalized older patients (≥ 65 years) with COVID-19 infection were enrolled (n = 502) from ten centers across Europe. At hospital admission, the MPI was administered to all the patients and two already validated delirium prediction models were computed (AWOL delirium risk-stratification score and Martinez model). Delirium occurrence during hospitalization was ascertained using the 4A's Test (4AT). Accuracy of the MPI and the other delirium predictive models was assessed through logistic regression models and the area under the curve (AUC). RESULTS: We analyzed 293 patients without delirium at hospital admission. Of them 33 (11.3%) developed delirium during hospitalization. Higher MPI score at admission (higher multidimensional frailty) was associated with higher risk of incident delirium also adjusting for the other delirium predictive models and COVID-19 severity (OR = 12.72, 95% CI = 2.11-76.86 for MPI-2 vs MPI-1, and OR = 33.44, 95% CI = 4.55-146.61 for MPI-3 vs MPI-1). The MPI showed good accuracy in predicting incident delirium (AUC = 0.71) also superior to AWOL tool, (AUC = 0.63) and Martinez model (AUC = 0.61) (p < 0.0001 for both comparisons). CONCLUSIONS: The MPI is a sensitive tool for early identification of older patients with incident delirium.
Department of Geriatric Care Neurology and Rehabilitation Galliera Hospital Genoa Italy
Department of Geriatrics 1st Faculty of Medicine Charles University Prague Czech Republic
Department of Geriatrics University Medical Center Göttingen Göttingen Germany
Department of Interdisciplinary Medicine Aldo Moro University of Bari Bari Italy
Department of Internal Medicine and Geriatrics University of Palermo Palermo Italy
Faculty of Health and Social Sciences University of South Bohemia Ceske Budejovice Czech Republic
Geriatrics Unit Mater Salutis Hospital Legnago ULSS 9 Scaligera Verona Italy
Geriatrics Unit Pugliese Ciaccio Hospital Catanzaro Italy
Infectious Disease Unit Sanremo Hospital ASL 1 Imperiese Sanremo Italy
Neurology Unit Department of Clinical and Experimental Sciences University of Brescia Brescia Italy
Servicio de Geriatría Hospital Universitario Ramón y Cajal Madrid Spain
Zobrazit více v PubMed
American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders [Internet]. Fifth Edition. American Psychiatric Association; [citato 13 dicembre 2023]. Disponibile su: https://psychiatryonline.org/doi/book/10.1176/appi.books.9780890425596
Inouye SK (1999) Predisposing and precipitating factors for delirium in hospitalized older patients. Dement Geriatr Cogn Disord 10(5):393–400 10.1159/000017177 PubMed DOI
Siddiqi N, House AO, Holmes JD (2006) Occurrence and outcome of delirium in medical in-patients: a systematic literature review. Age Ageing 35(4):350–364 10.1093/ageing/afl005 PubMed DOI
McCusker J, Cole M, Abrahamowicz M, Han L, Podoba JE, Ramman-Haddad L (2001) Environmental risk factors for delirium in hospitalized older people. J Am Geriatr Soc 49(10):1327–1334 10.1046/j.1532-5415.2001.49260.x PubMed DOI
Silva e LOJ, Berning MJ, Stanich JA, Gerberi DJ, Han J, Bellolio F (2020) Risk factors for delirium among older adults in the emergency department a systematic review protocol. BMJ Open 10(7):e03917510.1136/bmjopen-2020-039175 PubMed DOI PMC
Martinez JA, Belastegui A, Basabe I, Goicoechea X, Aguirre C, Lizeaga N et al (2012) Derivation and validation of a clinical prediction rule for delirium in patients admitted to a medical ward: an observational study. BMJ Open 2(5):e001599 10.1136/bmjopen-2012-001599 PubMed DOI PMC
Pérez-Ros P, Martínez-Arnau FM (2019) Delirium assessment in older people in emergency departments a literature review. Diseases 7(1):14 10.3390/diseases7010014 PubMed DOI PMC
Han JH, Eden S, Shintani A, Morandi A, Schnelle J, Dittus RS et al (2011) Delirium in older emergency department patients is an independent predictor of hospital length of stay. Acad Emerg Med 18(5):451–457 10.1111/j.1553-2712.2011.01065.x PubMed DOI PMC
Han JH, Shintani A, Eden S, Morandi A, Solberg LM, Schnelle J et al (2010) Delirium in the emergency department: an independent predictor of death within 6 months. Ann Emerg Med 56(3):244–252.e1 10.1016/j.annemergmed.2010.03.003 PubMed DOI PMC
Han JH, Wilson A, Ely EW (2010) Delirium in the older emergency department patient: a quiet epidemic. Emerg Med Clin North Am 28(3):611–631 10.1016/j.emc.2010.03.005 PubMed DOI PMC
Leslie DL, Inouye SK (2011) The importance of delirium economic and societal costs. J Am Geriatr Soc 59(s2):S241–243 10.1111/j.1532-5415.2011.03671.x PubMed DOI PMC
Bellelli G, Nobili A, Annoni G, Morandi A, Djade CD, Meagher DJ et al (2015) Under-detection of delirium and impact of neurocognitive deficits on in-hospital mortality among acute geriatric and medical wards. Eur J Internal Med 26(9):696–704 10.1016/j.ejim.2015.08.006 PubMed DOI
Lindroth H, Bratzke L, Purvis S, Brown R, Coburn M, Mrkobrada M et al (2018) Systematic review of prediction models for delirium in the older adult inpatient. BMJ Open 8(4):e019223 10.1136/bmjopen-2017-019223 PubMed DOI PMC
Douglas VC, Hessler CS, Dhaliwal G, Betjemann JP, Fukuda KA, Alameddine LR et al (2013) The AWOL tool: derivation and validation of a delirium prediction rule. J Hosp Med 8(9):493–499 10.1002/jhm.2062 PubMed DOI
Persico I, Cesari M, Morandi A, Haas J, Mazzola P, Zambon A et al (2018) Frailty and delirium in older adults: a systematic review and meta-analysis of the literature. J Am Geriatr Soc 66(10):2022–2030 10.1111/jgs.15503 PubMed DOI
White L, Jackson T (2022) Delirium and COVID-19: a narrative review of emerging evidence. Anaesthesia 77(S1):49–58 10.1111/anae.15627 PubMed DOI
Pilotto A, Ferrucci L, Franceschi M, D’Ambrosio LP, Scarcelli C, Cascavilla L et al (2008) Development and validation of a multidimensional prognostic index for one-year mortality from comprehensive geriatric assessment in hospitalized older patients. Rejuvenation Res 11(1):151–161 10.1089/rej.2007.0569 PubMed DOI PMC
Pilotto A, Veronese N, Daragjati J, Cruz-Jentoft AJ, Polidori MC, Mattace-Raso F et al (2019) Using the multidimensional prognostic index to predict clinical outcomes of hospitalized older persons: a prospective, multicenter, international study. J Gerontol A Biol Sci Med Sci 74(10):1643–1649 10.1093/gerona/gly239 PubMed DOI PMC
Cruz-Jentoft AJ, Daragjati J, Fratiglioni L, Maggi S, Mangoni AA, Mattace-Raso F et al (2020) Using the Multidimensional Prognostic Index (MPI) to improve cost-effectiveness of interventions in multimorbid frail older persons: results and final recommendations from the MPI_AGE European Project. Aging Clin Exp Res 32(5):861–868 10.1007/s40520-020-01516-0 PubMed DOI
Musacchio C, Custodero C, Razzano M, Raiteri R, Delrio A, Torriglia D et al (2022) Association between multidimensional prognostic index (MPI) and pre-operative delirium in older patients with hip fracture. Sci Rep 12(1):16920 10.1038/s41598-022-20734-2 PubMed DOI PMC
Pilotto A, Topinkova E, Michalkova H, Polidori MC, Cella A, Cruz-Jentoft A et al (2022) Can the multidimensional prognostic index improve the identification of older hospitalized patients with COVID-19 likely to benefit from mechanical ventilation? an observational, prospective, multicenter study. J Am Med Dir 23(9):1608.e1–1608.e810.1016/j.jamda.2022.06.023 PubMed DOI PMC
Custodero C, Gandolfo F, Cella A, Cammalleri LA, Custureri R, Dini S et al (2021) Multidimensional prognostic index (MPI) predicts non-invasive ventilation failure in older adults with acute respiratory failure. Arch Gerontol Geriatr 94:104327 10.1016/j.archger.2020.104327 PubMed DOI
Quispel-Aggenbach DWP, Holtman GA, Zwartjes HAHT, Zuidema SU, Luijendijk HJ (2018) Attention arousal and other rapid bedside screening instruments for delirium in older patients a systematic review of test accuracy studies. Age Ageing 47(5):644–653 10.1093/ageing/afy058 PubMed DOI
Schofield I, Stott DJ, Tolson D, McFadyen A, Monaghan J, Nelson D (2010) Screening for cognitive impairment in older people attending accident and emergency using the 4-item abbreviated mental test. Eur J Emerg Med 17(6):340–342 10.1097/MEJ.0b013e32833777ab PubMed DOI
Van de Meeberg EK, Festen S, Kwant M, Georg RR, Izaks GJ, Ter Maaten JC (2017) Improved detection of delirium, implementation and validation of the CAM-ICU in elderly emergency department patients. Eur J Emerg Med 24(6):411–416 10.1097/MEJ.0000000000000380 PubMed DOI
Mitchell G (2023) Delirium: prevention, diagnosis and management in hospital and long-term care. NICE Clinical Guidelines, No. 103. National Institute for Health and Care Excellence (NICE), London. https://www.ncbi.nlm.nih.gov/books/NBK553009/ PubMed
Bellelli G, Morandi A, Davis DHJ, Mazzola P, Turco R, Gentile S et al (2014) Validation of the 4AT a new instrument for rapid delirium screening a study in 234 hospitalised older people. Age Ageing 43(4):496–502 10.1093/ageing/afu021 PubMed DOI PMC
Pendlebury ST, Lovett N, Smith SC, Cornish E, Mehta Z, Rothwell PM (2016) Delirium risk stratification in consecutive unselected admissions to acute medicine: validation of externally derived risk scores. Age Ageing 45(1):60–65 10.1093/ageing/afv177 PubMed DOI PMC
Folstein MF, Folstein SE, McHugh PR (1983) Mini-mental state examination. Arch Gen Psychiatry 40(7):812 10.1001/archpsyc.1983.01790060110016 PubMed DOI
Hodkinson HM (1972) Evaluation of a mental test score for assessment of mental impairment in the elderly. Age Ageing 1(4):233–238 10.1093/ageing/1.4.233 PubMed DOI
Hooijer C, Dinkgreve M, Jonker C, Lindeboom J, Kay DWK (1992) Short screening tests for dementia in the elderly population I A comparison between AMTS MMSE MSQ and SPMSQ. Int J Geriat Psychiatry 7(8):559–57110.1002/gps.930070805 DOI
Angleman SB, Santoni G, Pilotto A, Fratiglioni L, Welmer AK (2015) Multidimensional prognostic index in association with future mortality and number of hospital days in a population-based sample of older adults: results of the EU funded MPIAGE project. PLoS ONE 10(7):e0133789 10.1371/journal.pone.0133789 PubMed DOI PMC
DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44(3):837–845 10.2307/2531595 PubMed DOI
Zazzara MB, Ornago AM, Cocchi C, Serafini E, Bellelli G, Onder G (2024) A pandemic of delirium: an updated systematic review and meta-analysis of occurrence of delirium in older adults with COVID-19. Eur Geriatr Med 15(2):397–406 10.1007/s41999-023-00906-7 PubMed DOI PMC
Minnema J, Tap L, Van Der Bol JM, Van Deudekom FJA, Faes MC, Jansen SWM et al (2023) Delirium in older patients with COVID-19: prevalence, risk factors and clinical outcomes across the first three waves of the pandemic. Int J Geriatr Psychiatry 38(11):e6024 10.1002/gps.6024 PubMed DOI
Reppas-Rindlisbacher C, Boblitz A, Fowler RA, Lapointe-Shaw L, Sheehan KA, Stukel TA et al (2023) Trends in delirium and new antipsychotic and benzodiazepine use among hospitalized older adults before and after the onset of the COVID-19 pandemic. JAMA Netw Open 6(8):e2327750 10.1001/jamanetworkopen.2023.27750 PubMed DOI PMC
Schulthess-Lisibach AE, Gallucci G, Benelli V, Kälin R, Schulthess S, Cattaneo M et al (2023) Predicting delirium in older non-intensive care unit inpatients: development and validation of the DELIrium risK Tool (DELIKT). Int J Clin Pharm 45(5):1118–1127 10.1007/s11096-023-01566-0 PubMed DOI PMC
Kobayashi D, Takahashi O, Arioka H, Koga S, Fukui T (2013) A prediction rule for the development of delirium among patients in medical wards: chi-square automatic interaction detector (chaid) decision tree analysis model. Am J Geriatr Psychiatry 21(10):957–962 10.1016/j.jagp.2012.08.009 PubMed DOI
Snigurska UA, Liu Y, Ser SE, Macieira TGR, Ansell M, Lindberg D et al (2023) Risk of bias in prognostic models of hospital-induced delirium for medical-surgical units: a systematic review. PLoS ONE 18(8):e0285527 10.1371/journal.pone.0285527 PubMed DOI PMC
Castro VM, Hart KL, Sacks CA, Murphy SN, Perlis RH, McCoy TH (2022) Longitudinal validation of an electronic health record delirium prediction model applied at admission in COVID-19 patients. Gen Hosp Psychiatry 74:9–17 10.1016/j.genhosppsych.2021.10.005 PubMed DOI PMC
Forget MF, Del Degan S, Leblanc J, Tannous R, Desjardins M, Durand M et al (2021) Delirium and inflammation in older adults hospitalized for COVID-19 a cohort study. CIA. 10.2147/CIA.S31540510.2147/CIA.S315405 PubMed DOI PMC
Pilotto A, Custodero C, Maggi S, Polidori MC, Veronese N, Ferrucci L (2020) A multidimensional approach to frailty in older people. Ageing Res Rev 60:101047 10.1016/j.arr.2020.101047 PubMed DOI PMC
Mossello E, Tesi F, Di Santo SG, Mazzone A, Torrini M, Cherubini A et al (2018) Recognition of delirium features in clinical practice: data from the “delirium day 2015” national survey. J Am Geriatr Soc 66(2):302–308 10.1111/jgs.15211 PubMed DOI