1
22 (3.5%) did not finished the study 5 No consent 5 Sensitive-motor deficit 9 Advanced cognitive impairment 3 Other reasons 34 subject (5.44%) no considered because incomplete data Figure1: Participant subjects 1/1/28 2/3/73 2/3/75 4/6/152 3/3/77 2/3/77 5/10/357 19 Centers 25 Neurologists 625 selected subjects (570) Acknowledgment Partially supported by SAS (Exp. 230/00) Tests 498 (87%) underwent at least one short test 302 MMSE 207 MEC 436 Animal Fluency 63 (11%): Three tests 321 (56%): Two tests 114: (20%): One test 2 63 105 212 37 35 56 72 Fluency = 436 MT = 570 MMSE = 302 MEC = 207 Demographics Age: 72.7 6.8 years Sex: 310 Women (54.5%) Procedence: 370 (65%) urbans (>30.000 inhabitants) Educational level: 13% Never went to school 45% Primary studies Alphabetization: 8% illeterate 28% can read 97 93 89 85 81 77 73 69 65 61 80 60 40 20 0 5,8% 9,6% 26,1% 45,4% 12,6% 4% Universitaries Secundaries Primary Studies Primary Incomplet e Never went to school Not avalilable 2,5% 11,7% 16,5% 15,8% 53,5% Severe D. Moderate D. Mild D. MCI Noimpairment 7,5% 22,5% 70,0% Other Dementias Enf. Alzheimer No Dementia Clinical characteristics 62% had another process which could lead to cognitive impairment Cognitive Diagnosis: 305 No cognitive impairment (53.5%) 90 Mild cognitive impairment (15.8%) 175 Dementia (30.7%) Mild: 94 (53.7%) Moderate: 67 (38.3%) Severe: 14 (8%) 128 Alzheimer ´s disease (73% out of the whole dementias) MT: discriminative validity 0.79 0.83 0.86 0.86 0.85 CC 0.93 0.71 0.66 0.95 23 0.91 0.77 0.76 0.91 22 0.88 0.83 0.84 0.87 21 0.85 0.87 0.89 0.81 20 0.81 0.91 0.93 0.75 19 VPN VPP E S Point L.S. L.I. 0.92 0.89 0.88 0.91 0.84 0.78 0.8 0.82 IC 95% 0.88 0.83 0.84 0.87 21 VPN VPP E S Criteria validity with other tests (Best cut point) 0.76 0.81 0.79 0.86 CC 0.88 0.65 10 436 Fluency 0.76 0.84 29 207 MEC 0.89 0.7 23 302 MMSE 0.84 0.87 21 570 MT E S Punt N Test Compared Criteria Validity ROC curves Fluency MEC MMSE 0.94 0.89 0.01 0.91 570 MT LS LI e.e. ÁREA N PRUEBA 0.85 0.77 0.02 0.81 436 0.93 0.84 0.02 0.89 207 0.92 0.84 0.02 0.88 302 1- 100 80 60 40 20 0 100 80 60 40 20 0 1-Specificity 100 80 60 40 20 0 Sensibility 100 80 60 40 20 0 Concurrent Validity n = 302 n = 275 n = 65 1 MMSE 1 n = 436 n = 207 MT .74* 1 n = 170 Fluency .79* .72* 1 MEC .80* .68* .95* MMSE MT Fluency MEC Spearman´s Correlation Coeficient * p < 0.0001 Test-Retest Feasibility 44 45 47 N 0.59 – 0.86 0.75 TFV 0.77 – 0.93 0.87 MEC 0.86 – 0.96 0.92 MT IC 95% CCI TOTAL 25,00 20,00 15,00 10,00 5,00 ,00 Frecuencia 60 50 40 30 20 10 0 265 305 N = Cognitive Impairment Yes No TOTAL 30 20 10 0 COMPARATION Usefulness of the Money Test for detection of Cognitive Impairment Usefulness of the Money Test for detection of Cognitive Impairment A Frank*, C Carnero**, A Tallón*, A García*, MS Barquero ***, JL Dobato, J Ferrero, J Díaz, A Pérez, S Mola, J Morera, on behalf the “Money Test Group”. H. La Paz, Madrid; H. Torrecárdenas, Almería; H. Clínico San Carlos, Madrid; Spain P04- 034 Objective To analyze the usefulness of the “Money Test” (MT) to detect cognitive impairment in a general neurological practice. Design Multicentric, transversal study of 635 subjects aged > 60 years. MT was applied in addition to other tests, such as the Mini-mental state examination (MMSE), the Spanish version of MMSE (MEC) and the verbal fluency test (VFT). Independently of the results of these tests, the sample population was classified by an independent neurologist as “Not cognitively impaired” (NCI) or “Cognitively Impaired” (CI) and the latter group was subdivided into two subgroups: “Mild Cognitive Impairment” (MCI) or “Dementia” (DEM). Methods The following parameters were calculated by standard statistical methods: sensibility (S), specificity (Sp), predictive value (PV) and area under the ROC curve (AUR), each with each its own 95% confidence intervals. Concurrent validity was calculated by Spearmans correlation coefficient (r). In a sample of 47 subjects test- retest reliability was analyzed using the interclass correlation reliability coeficient (ICC). Results Data from 570 subjects were analyzed (Figure 1). Of the whole series, 56 subjects were excluded because the protocol was incompleted. The number of subjects classified in each group was: 305 NCI and 265 CI (90 MCI, 175 DEM). 8% of the sample was illeterate and 45% had <5 years of schooling. The best MT cut-point shows S=0.87(0.82-0.91); Sp=0.84(0.8-0.88); positive PV=0.83(0.78-0.89); negative PV=0.88(0.84-0.92) and AUR=0.91(0.89- 0.93). MT has a high concurrent validity: MMSE (r=0.8); MEC (r=0.79), VFT (r=0.74), as well as excellent test-retest reliability (ICC=0.92). Results in this series show MT to have either a higher validity or reliability than other frequently employed tests. Conclusions MT has a high discriminative validity for cognitive impairment detection and appears to be more reliable than other frequently used instruments. It is also ecological and has content validity. An important additional advantage is that it is easy to appliy, quick and can be used in uneducated persons. All these properties together with the possibility of adapting the test to different environments, cultures and currency systems, make the MT a useful international instrument for the detection of cognitive impairment. H. Torrecárdenas – Almería Cristóbal Carnero Pardo* Elena Márquez Báez Teresa García López Pedro Guardado Santervás Jesús Olivares Romero Pedro Serrano Castro Teresa Montoro Ríos H. General Yagüe – Burgos Miguel Góñi Imízcoz Sara Merino H.Virgen de la Arrixaca – Murcia Carmen Antúnez Almagro Rafael Carles Díez H. de Navarra – Pamplona Francisco Lacruz Bescos Isabel Aramendia Etxeberria H.Cruz Roja Española – Córdoba Antonio Arjona Padillo H.Universitario La Paz – Madrid Anna Frank García Antonio Tallón Barranco Ángel García González H.Universitario La Fe – Valencia Miguel Baquero Toledo Anabel Campos H.Gómez Ulla – Madrid Julio Ferrero Arias Clínica San Rafael - Cádiz Pedro A. Sánchez Ayaso H.Virgen de la Macarena - Sevilla Carlos Martínez Parra José Manuel Gata Gata H.Vega Baja - Orihuela Ángel Pérez Sempere Santiago Mola Caballero de Rodas Fundación Hospital Alcorcón José Luis Dobato Ayuso H. Ntra.Sra. Aranzazu - San Sebastián Begoña Indakoetxea Juanbeltz H. Virgen de las Nieves - Granada Rosa Vilches Carrillo H. Virgen del Camino - Pamplona José M. Manubens Bertrán H. Clínico San Carlos - Madrid María S. Barquero Jiménez María A. Payno Vargas H. General Universitario - Murcia Mª Luisa Martínez Navarro H. Río Carrión - Palencia Valentín Bueno Rodríguez H. Marina Alta - Denia Jaume Morera Guitart H. 12 de Octubre - Madrid Jaime Díaz Guzmán *Actualmente en el Hospital Virgen de las Nieves (Granada, Spain) e-mail: [email protected] Money Test Group Background MT is an easy, short (< 5 minutes), ecological test (it uses common currency) and is well accepted by study populations independently of their educational level. Its factorial structure allows the evaluation of several independent cognitive domains. These characteristics suggest that MT would be a good instrument for cognitive impairment detection, mainly in poorly-educated populations in which other frequently-used tests do not seem to be effective enough.

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Page 1: 22 (3.5%) did not finished the study 5 No consent 5 Sensitive-motor deficit

22 (3.5%) did not finished the study

5 No consent5 Sensitive-motor deficit9 Advanced cognitive impairment3 Other reasons

34 subject (5.44%) no considered because incomplete data

Figure1:Participant subjects

1/1/28 2/3/73

2/3/75

4/6/152

3/3/77

2/3/77

5/10/357

19 Centers25 Neurologists625 selected subjects (570)

Acknowledgment

Partially supported by SAS (Exp. 230/00)

Tests• 498 (87%) underwent

at least one short test– 302 MMSE– 207 MEC– 436 Animal Fluency

• 63 (11%): Three tests• 321 (56%): Two tests• 114: (20%): One test

2

63 105212

3735

56

72Fluency = 436

MT = 570

MMSE = 302

MEC = 207

Demographics• Age: 72.7 6.8 years

• Sex: 310 Women (54.5%)

• Procedence: 370 (65%) urbans (>30.000 inhabitants)

• Educational level:– 13% Never went to

school– 45% Primary studies

• Alphabetization: – 8% illeterate– 28% can read

97938985817773696561

80

60

40

20

0

5,8%

9,6%

26,1%

45,4%

12,6%

4%Universitaries

Secundaries

Primary StudiesPrimary Incomplete

Never went to school

Not avalilable

2,5%

11,7%

16,5%

15,8%

53,5%

Severe D.

Moderate D.

Mild D.

MCI

Noimpairment

7,5%

22,5%

70,0%

Other Dementias

Enf. Alzheimer

No Dementia

Clinical characteristics

62% had another process which could lead to cognitive impairment

Cognitive Diagnosis:305 No cognitive impairment (53.5%)

90 Mild cognitive impairment (15.8%)

175 Dementia (30.7%)Mild: 94 (53.7%)

Moderate: 67 (38.3%)

Severe: 14 (8%)

128 Alzheimer ´s disease(73% out of the whole dementias)

MT: discriminative validity

0.79

0.83

0.86

0.86

0.85

CC

0.930.710.660.95 23

0.910.770.760.91 22

0.880.830.840.87 21

0.850.870.890.81 20

0.810.910.930.75 19

VPNVPPESPoint

L.S.

L.I.

0.920.890.880.91

0.840.780.80.82IC95%

0.880.830.840.87 21

VPNVPPES

Criteria validity with other tests (Best cut point)

0.76

0.81

0.79

0.86

CC

0.880.65 10436Fluency

0.760.84 29207MEC

0.890.7 23302MMSE

0.840.87 21570MT

ESPuntNTest

Compared Criteria Validity ROC curves

Fluency

MEC

MMSE

0.940.890.010.91570MT

LSLIe.e.ÁREANPRUEBA

0.850.770.020.81436

0.930.840.020.89207

0.920.840.020.88302

1-100806040200

100

80

60

40

20

0

1-Specificity100806040200

Se

nsi

bili

ty

100

80

60

40

20

0

Concurrent Validity

n = 302

n = 275

n = 65

1

MMSE

1n = 436n = 207MT

.74*1n = 170Fluency

.79*.72*1MEC

.80*.68*.95*MMSE

MTFluencyMEC

Spearman´s Correlation Coeficient

* p < 0.0001

Test-Retest Feasibility

44

45

47

N

0.59 – 0.860.75TFV

0.77 – 0.930.87MEC

0.86 – 0.960.92MT

IC 95%CCI

TOTAL

25,0020,0015,0010,005,00,00

Fre

cuen

cia

60

50

40

30

20

10

0265305N =

Cognitive ImpairmentYesNo

TO

TA

L

30

20

10

0

COMPARATION

Usefulness of the Money Test for detection of Cognitive ImpairmentUsefulness of the Money Test for detection of Cognitive ImpairmentA Frank*, C Carnero**, A Tallón*, A García*, MS Barquero***, JL Dobato, J Ferrero, J Díaz, A Pérez, S Mola, J Morera, on behalf the “Money Test Group”. H. La Paz, Madrid; H. Torrecárdenas, Almería; H. Clínico San Carlos, Madrid; Spain

P04-034

Objective

To analyze the usefulness of the “Money Test” (MT) to detect cognitive impairment in a general neurological practice.

Design

Multicentric, transversal study of 635 subjects aged > 60 years.

MT was applied in addition to other tests, such as the Mini-mental state examination (MMSE), the Spanish version of MMSE (MEC) and the verbal fluency test (VFT).

Independently of the results of these tests, the sample population was classified by an independent neurologist as “Not cognitively impaired” (NCI) or “Cognitively Impaired” (CI) and the latter group was subdivided into two subgroups: “Mild Cognitive Impairment” (MCI) or “Dementia” (DEM).

Methods

The following parameters were calculated by standard statistical methods: sensibility (S), specificity (Sp), predictive value (PV) and area under the ROC curve (AUR), each with each its own 95% confidence intervals. Concurrent validity was calculated by Spearmans correlation coefficient (r). In a sample of 47 subjects test-retest reliability was analyzed using the interclass correlation reliability coeficient (ICC).

Results

Data from 570 subjects were analyzed (Figure 1). Of the whole series, 56 subjects were excluded because the protocol was incompleted. The number of subjects classified in each group was: 305 NCI and 265 CI (90 MCI, 175 DEM). 8% of the sample was illeterate and 45% had <5 years of schooling.

The best MT cut-point shows S=0.87(0.82-0.91); Sp=0.84(0.8-0.88); positive PV=0.83(0.78-0.89); negative PV=0.88(0.84-0.92) and AUR=0.91(0.89-0.93). MT has a high concurrent validity: MMSE (r=0.8); MEC (r=0.79), VFT (r=0.74), as well as excellent test-retest reliability (ICC=0.92). Results in this series show MT to have either a higher validity or reliability than other frequently employed tests.

Conclusions

MT has a high discriminative validity for cognitive impairment detection and appears to be more reliable than other frequently used instruments.

It is also ecological and has content validity.

An important additional advantage is that it is easy to appliy, quick and can be used in uneducated persons.

All these properties together with the possibility of adapting the test to different environments, cultures and currency systems, make the MT a useful international instrument for the detection of cognitive impairment.

H. Torrecárdenas – AlmeríaCristóbal Carnero Pardo*Elena Márquez Báez Teresa García LópezPedro Guardado SantervásJesús Olivares RomeroPedro Serrano CastroTeresa Montoro Ríos

H. General Yagüe – BurgosMiguel Góñi ImízcozSara Merino

H.Virgen de la Arrixaca – MurciaCarmen Antúnez AlmagroRafael Carles Díez

H. de Navarra – PamplonaFrancisco Lacruz BescosIsabel Aramendia Etxeberria

H.Cruz Roja Española – CórdobaAntonio Arjona Padillo

H.Universitario La Paz – Madrid

Anna Frank García

Antonio Tallón Barranco

Ángel García González

H.Universitario La Fe – Valencia

Miguel Baquero Toledo

Anabel Campos

H.Gómez Ulla – Madrid

Julio Ferrero Arias

Clínica San Rafael - Cádiz

Pedro A. Sánchez Ayaso

H.Virgen de la Macarena - Sevilla

Carlos Martínez Parra

José Manuel Gata Gata

H.Vega Baja - Orihuela

Ángel Pérez Sempere

Santiago Mola Caballero de Rodas

Fundación Hospital Alcorcón

José Luis Dobato Ayuso

H. Ntra.Sra. Aranzazu - San Sebastián

Begoña Indakoetxea Juanbeltz

H. Virgen de las Nieves - Granada

Rosa Vilches Carrillo

H. Virgen del Camino - Pamplona

José M. Manubens Bertrán

H. Clínico San Carlos - Madrid

María S. Barquero Jiménez

María A. Payno Vargas

H. General Universitario - Murcia

Mª Luisa Martínez Navarro

H. Río Carrión - Palencia

Valentín Bueno Rodríguez

H. Marina Alta - Denia

Jaume Morera Guitart

H. 12 de Octubre - Madrid

Jaime Díaz Guzmán

*Actualmente en el Hospital Virgen de las Nieves (Granada, Spain)e-mail: [email protected]

Money Test Group

Background

MT is an easy, short (< 5 minutes), ecological test (it uses common currency) and is well accepted by study populations independently of their educational level.

Its factorial structure allows the evaluation of several independent cognitive domains.

These characteristics suggest that MT would be a good instrument for cognitive impairment detection, mainly in poorly-educated populations in which other frequently-used tests do not seem to be effective enough.