Cognition and prognosis

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Resultados según evaluación inicial

	Demencia	Deterioro cognitivo leve	Sin deterioro cognitivo	All	P
	(n=30)	(n=125)	(n=73)	(n=228)
muerte	6 (20%)	15 (12%)	5 (6.85%)	26 (11.4%)	0.154
muerteDemencia	4 (66.67%)	5 (33.33%)	0 (0%)	9 (34.62%)	0.068
Geriatrico	8 (26.67%)	12 (9.6%)	2 (2.74%)	22 (9.65%)	<0.001
Internaciones	0 (0-2)	0 (0-1)	0 (0-1)	0 (0-1)	0.051
Días de internación	0 (0-13.5)	0 (0-8)	0 (0-2)	0 (0-5)	0.013
Caídas	17 (56.67%)	67 (53.6%)	25 (34.25%)	109 (47.81%)	0.018
BDZPre	10 (33.33%)	54 (43.2%)	35 (47.95%)	99 (43.42%)	0.396
antipsicoticosPre	3 (10%)	4 (3.2%)	0 (0%)	7 (3.07%)	0.028
antidemenciaPre	6 (20%)	7 (5.6%)	1 (1.37%)	14 (6.14%)	0.002
BDZPost	16 (53.33%)	67 (53.6%)	37 (50.68%)	120 (52.63%)	0.921
antipsicoticosPost	16 (53.33%)	30 (24%)	4 (5.48%)	50 (21.93%)	<0.001
antidemenciaPost	28 (93.33%)	52 (41.6%)	3 (4.11%)	83 (36.4%)	<0.001

Modelo binomial para geriátrico con neuropsy usando step

Observations	223 (1 missing obs. deleted)
Dependent variable	Geriatrico
Type	Generalized linear model
Family	binomial
Link	logit

χ²(5)	31.908
Pseudo-R² (Cragg-Uhler)	0.281
Pseudo-R² (McFadden)	0.222
AIC	123.756
BIC	144.199

	exp(Est.)	2.5%	97.5%	z val.	p
(Intercept)	0.000	0.000	0.040	-2.784	0.005
Edad	1.111	1.018	1.214	2.350	0.019
Educacion	1.146	1.010	1.301	2.116	0.034
GB Total libre	0.925	0.875	0.977	-2.789	0.005
TMT_A	0.971	0.949	0.994	-2.489	0.013
TMT_B	1.009	1.003	1.016	2.721	0.007
Standard errors: MLE

Modelo binomial para geriátrico con step

Observations	228
Dependent variable	Geriatrico
Type	Generalized linear model
Family	binomial
Link	logit

χ²(5)	23.557
Pseudo-R² (Cragg-Uhler)	0.209
Pseudo-R² (McFadden)	0.163
AIC	133.134
BIC	153.710

	exp(Est.)	2.5%	97.5%	z val.	p
(Intercept)	0.000	0.000	0.030	-2.986	0.003
Edad	1.081	0.996	1.175	1.854	0.064
sexoMasculinoTRUE	2.669	1.014	7.027	1.988	0.047
demenciaBasalTRUE	10.684	1.586	71.972	2.434	0.015
DCLBasalTRUE	3.672	0.646	20.868	1.467	0.142
acvTRUE	15.826	0.782	320.440	1.799	0.072
Standard errors: MLE

Modelo negbin para internaciones con step

Observations	228
Dependent variable	Internaciones
Type	Generalized linear model
Family	Negative Binomial(1.273)
Link	log

χ²()	0.165	0.067	535.089	569.382
Pseudo-R² (Cragg-Uhler)	0.165	0.067	535.089	569.382
Pseudo-R² (McFadden)	0.165	0.067	535.089	569.382
AIC	0.165	0.067	535.089	569.382
BIC	0.165	0.067	535.089	569.382

	exp(Est.)	2.5%	97.5%	z val.	p
(Intercept)	0.001	0.000	0.024	-4.211	0.000
Edad	1.061	1.026	1.098	3.414	0.001
sexoMasculinoTRUE	1.397	0.912	2.141	1.536	0.125
demenciaBasalTRUE	2.092	0.870	5.029	1.649	0.099
DCLBasalTRUE	1.666	1.007	2.757	1.986	0.047
AVDI	1.244	0.976	1.584	1.766	0.077
htaTRUE	1.458	0.933	2.278	1.657	0.097
diabetesTRUE	1.858	1.018	3.389	2.019	0.043
BDZPreTRUE	0.634	0.415	0.969	-2.107	0.035
Standard errors: MLE

Modelo binomial de muerte a 4 años

Observations	228
Dependent variable	muerte
Type	Generalized linear model
Family	binomial
Link	logit

χ²(5)	35.379
Pseudo-R² (Cragg-Uhler)	0.283
Pseudo-R² (McFadden)	0.219
AIC	138.441
BIC	159.017

	exp(Est.)	2.5%	97.5%	z val.	p
(Intercept)	0.000	0.000	0.002	-3.755	0.000
Edad	1.122	1.035	1.217	2.779	0.005
Educacion	1.101	0.989	1.225	1.749	0.080
htaTRUE	4.291	1.185	15.533	2.219	0.026
diabetesTRUE	3.854	1.132	13.124	2.158	0.031
BDZPreTRUE	0.283	0.100	0.802	-2.375	0.018
Standard errors: MLE

Resumen gráfico de ambos modelos

---

tabla vivo/muerto

DCL

##                FALSE                  TRUE               Missing P      
##                "(n=110)"              "(n=15)"           ""      ""     
## Edad           "77.48±6.62"           "81.8±3.95"        "0"     "0.001"
## sexoMasculino  "29 (26.36%)"          "7 (46.67%)"       "0"     "0.13" 
## Educacion      "11.5 (7-15)"          "12 (7-15)"        "0"     "0.28" 
## CRI Total      "109 (89-127.5)"       "103 (94-129)"     "7"     "0.68" 
## AVDI           "7 (6-7)"              "7 (5.5-7)"        "0"     "0.227"
## DAD%           "97.5 (95-100)"        "100 (94.78-100)"  "7"     "0.968"
## TAP R          "39.5 (29.75-46)"      "41 (38.25-46.25)" "39"    "0.442"
## MMSE           "27 (25-28.75)"        "28 (27-29)"       "0"     "0.349"
## TMT_A          "64.5 (48.25-85)"      "73 (60.5-90)"     "0"     "0.279"
## TMT_B          "173.5 (118.5-254.75)" "171 (130-238.5)"  "0"     "0.808"
## GB Total libre "18.06±7.95"           "16.27±7.34"       "0"     "0.39"

demencia

##                FALSE                TRUE                 Missing P      
##                "(n=24)"             "(n=6)"              ""      ""     
## Edad           "83.5 (80-85.5)"     "85 (84.25-86.5)"    "0"     "0.498"
## sexoMasculino  "4 (16.67%)"         "3 (50%)"            "0"     "0.12" 
## Educacion      "10 (7-12.75)"       "15 (12.75-15.75)"   "0"     "0.154"
## CRI Total      "104.65±26.92"       "117.17±21.87"       "1"     "0.264"
## AVDI           "4.42±1.82"          "4.33±1.03"          "0"     "0.884"
## DAD%           "81 (63.75-92.5)"    "72.5 (70.03-73.89)" "1"     "0.332"
## TAP R          "36.95±9.44"         "42.75±8.22"         "7"     "0.269"
## MMSE           "22.71±3.34"         "23.83±3.66"         "0"     "0.514"
## TMT_A          "91.5 (57.5-117.75)" "84.5 (74.5-90.75)"  "0"     "0.697"
## TMT_B          "300 (203-350)"      "313 (213.75-350)"   "1"     "0.957"
## GB Total libre "4.5 (1-11.25)"      "7 (4.25-14.25)"     "0"     "0.498"

tabla geriatrico

DCL y demencia

##                FALSE                TRUE                Missing P       
##                "(n=206)"            "(n=22)"            ""      ""      
## Edad           "76.8±7.08"          "81.82±5.47"        "0"     "<0.001"
## sexoMasculino  "54 (26.21%)"        "10 (45.45%)"       "0"     "0.078" 
## Educacion      "12 (7-15)"          "13.5 (8.25-15.75)" "0"     "0.524" 
## CRI Total      "111 (95.75-129.25)" "114 (89-142)"      "27"    "0.879" 
## AVDI           "7 (6.25-7)"         "6 (5-7)"           "0"     "<0.001"
## DAD%           "100 (95-100)"       "93.75 (80-97.47)"  "11"    "<0.001"
## TAP R          "41 (34-46)"         "43 (36.5-44.5)"    "88"    "0.654" 
## MMSE           "28 (26-29)"         "25 (22.5-27)"      "0"     "<0.001"
## TMT_A          "54 (42.25-80.75)"   "59 (50.25-90.75)"  "0"     "0.233" 
## TMT_B          "130 (83-216)"       "200 (125-350)"     "1"     "0.012" 
## GB Total libre "22 (15-28)"         "11 (7-16)"         "0"     "<0.001"

DCL

##                FALSE                 TRUE                Missing P      
##                "(n=113)"             "(n=12)"            ""      ""     
## Edad           "77.82±6.7"           "79.67±4.05"        "0"     "0.182"
## sexoMasculino  "31 (27.43%)"         "5 (41.67%)"        "0"     "0.324"
## Educacion      "12 (7-15)"           "11 (7.75-15)"      "0"     "0.5"  
## CRI Total      "108.5 (92.25-128.5)" "104 (88.25-144.5)" "7"     "0.852"
## AVDI           "7 (6-7)"             "6 (6-7)"           "0"     "0.05" 
## DAD%           "100 (95-100)"        "96 (91.88-97.43)"  "7"     "0.028"
## TAP R          "39.5 (30-46)"        "43 (37.75-44)"     "39"    "0.623"
## MMSE           "28 (25-29)"          "26.5 (24.75-27)"   "0"     "0.053"
## TMT_A          "66 (49-85)"          "54 (49.75-92.25)"  "0"     "0.818"
## TMT_B          "171 (118-245)"       "188 (135-350)"     "0"     "0.302"
## GB Total libre "20 (13-23)"          "11.5 (8.5-15.25)"  "0"     "0.006"

Demencia

##                FALSE                TRUE                 Missing P      
##                "(n=22)"             "(n=8)"              ""      ""     
## Edad           "83 (80-85)"         "86 (84-89)"         "0"     "0.114"
## sexoMasculino  "3 (13.64%)"         "4 (50%)"            "0"     "0.06" 
## Educacion      "11 (7-14.25)"       "13.5 (9.25-15.5)"   "0"     "0.474"
## CRI Total      "105.76±26.15"       "111.12±27.33"       "1"     "0.641"
## AVDI           "4.36±1.62"          "4.5±1.93"           "0"     "0.862"
## DAD%           "77.34±16.8"         "69.42±30.46"        "1"     "0.504"
## TAP R          "37.12±9.5"          "39.86±9.37"         "7"     "0.534"
## MMSE           "22.91±3.56"         "23±3.02"            "0"     "0.946"
## TMT_A          "96.5 (61.5-131.25)" "70 (55.25-90.25)"   "0"     "0.116"
## TMT_B          "325 (208-350)"      "257.5 (170.75-350)" "1"     "0.323"
## GB Total libre "5 (1-11.75)"        "6.5 (2.75-12.25)"   "0"     "0.832"

tabla caidas

DCL y demencia

##                FALSE            TRUE                  Missing P       
##                "(n=119)"        "(n=109)"             ""      ""      
## Edad           "76 (71-80.5)"   "80 (75-83)"          "0"     "<0.001"
## sexoMasculino  "40 (33.61%)"    "24 (22.02%)"         "0"     "0.056" 
## Educacion      "12 (8.5-15)"    "12 (7-16)"           "0"     "0.426" 
## CRI Total      "111 (98-132.5)" "112 (93-129)"        "27"    "0.556" 
## AVDI           "7 (7-7)"        "7 (6-7)"             "0"     "0.076" 
## DAD%           "100 (95-100)"   "97.5 (92.5-100)"     "11"    "0.027" 
## TAP R          "41 (34-46)"     "42 (33.5-47)"        "88"    "0.439" 
## MMSE           "28 (26-29)"     "27 (25-29)"          "0"     "0.007" 
## TMT_A          "51 (40-70.5)"   "60 (47-89)"          "0"     "0.004" 
## TMT_B          "114 (81.5-207)" "161 (103.25-252.25)" "1"     "0.003" 
## GB Total libre "23 (15-28.5)"   "22 (12-26)"          "0"     "0.137"

DCL

##                FALSE                TRUE              Missing P      
##                "(n=58)"             "(n=67)"          ""      ""     
## Edad           "76.57±6.76"         "79.24±6.05"      "0"     "0.023"
## sexoMasculino  "19 (32.76%)"        "17 (25.37%)"     "0"     "0.43" 
## Educacion      "11.5 (7-13.75)"     "12 (7-15)"       "0"     "0.496"
## CRI Total      "109 (93-126)"       "108 (88-129)"    "7"     "0.44" 
## AVDI           "7 (6.25-7)"         "7 (6-7)"         "0"     "0.415"
## DAD%           "100 (95-100)"       "97.5 (95-100)"   "7"     "0.112"
## TAP R          "37.76 (30-46)"      "42.5 (30.25-47)" "39"    "0.151"
## MMSE           "28 (25.25-29)"      "27 (25-28)"      "0"     "0.088"
## TMT_A          "62.5 (46.25-77)"    "73 (51.5-96)"    "0"     "0.031"
## TMT_B          "163.5 (109.25-246)" "175 (123-259.5)" "0"     "0.198"
## GB Total libre "17.05±8.1"          "18.54±7.66"      "0"     "0.297"

Demencia

##                FALSE             TRUE            Missing P      
##                "(n=13)"          "(n=17)"        ""      ""     
## Edad           "82.54±6.45"      "83.35±4.15"    "0"     "0.696"
## sexoMasculino  "4 (30.77%)"      "3 (17.65%)"    "0"     "0.666"
## Educacion      "12 (7-12)"       "10 (7-16)"     "0"     "0.701"
## CRI Total      "100.54±22.08"    "112.69±28.48"  "1"     "0.207"
## AVDI           "4±2.04"          "4.71±1.31"     "0"     "0.29" 
## DAD%           "70.35±26.99"     "79.06±14.63"   "1"     "0.31" 
## TAP R          "42.5 (37-45.75)" "36 (31-45)"    "7"     "0.576"
## MMSE           "21 (20-23)"      "25 (23-27)"    "0"     "0.022"
## TMT_A          "101 (66-117)"    "79 (54-94)"    "0"     "0.241"
## TMT_B          "277.08±95.79"    "274.81±105.32" "1"     "0.952"
## GB Total libre "4 (1-11)"        "6 (2-12)"      "0"     "0.737"

---

MODELOS PREDICTIVOS PARA GERIATRICO - NO SON BUENOS

Modelos predictivos de geriátrico random forest

## Confusion Matrix and Statistics
## 
##           Geriatrico
## prediccion  1  2
##          1 61  6
##          2  0  0
##                                           
##                Accuracy : 0.9104          
##                  95% CI : (0.8152, 0.9664)
##     No Information Rate : 0.9104          
##     P-Value [Acc > NIR] : 0.60642         
##                                           
##                   Kappa : 0               
##                                           
##  Mcnemar's Test P-Value : 0.04123         
##                                           
##             Sensitivity : 0.00000         
##             Specificity : 1.00000         
##          Pos Pred Value :     NaN         
##          Neg Pred Value : 0.91045         
##              Prevalence : 0.08955         
##          Detection Rate : 0.00000         
##    Detection Prevalence : 0.00000         
##       Balanced Accuracy : 0.50000         
##                                           
##        'Positive' Class : 2               
## 

Modelo de árbol para geriátrico

## Confusion Matrix and Statistics
## 
##           
## prediccion No Si
##         No 57  6
##         Si  4  0
##                                          
##                Accuracy : 0.8507         
##                  95% CI : (0.7426, 0.926)
##     No Information Rate : 0.9104         
##     P-Value [Acc > NIR] : 0.9649         
##                                          
##                   Kappa : -0.0772        
##                                          
##  Mcnemar's Test P-Value : 0.7518         
##                                          
##             Sensitivity : 0.00000        
##             Specificity : 0.93443        
##          Pos Pred Value : 0.00000        
##          Neg Pred Value : 0.90476        
##              Prevalence : 0.08955        
##          Detection Rate : 0.00000        
##    Detection Prevalence : 0.05970        
##       Balanced Accuracy : 0.46721        
##                                          
##        'Positive' Class : Si             
## 

---

MODELOS PREDICTIVOS PARA CAIDAS

Modelos predictivos de caidas random fores

## Confusion Matrix and Statistics
## 
##           Caídas
## prediccion  0  1
##          0 23 14
##          1 12 18
##                                          
##                Accuracy : 0.6119         
##                  95% CI : (0.485, 0.7286)
##     No Information Rate : 0.5224         
##     P-Value [Acc > NIR] : 0.08882        
##                                          
##                   Kappa : 0.2202         
##                                          
##  Mcnemar's Test P-Value : 0.84452        
##                                          
##             Sensitivity : 0.5625         
##             Specificity : 0.6571         
##          Pos Pred Value : 0.6000         
##          Neg Pred Value : 0.6216         
##              Prevalence : 0.4776         
##          Detection Rate : 0.2687         
##    Detection Prevalence : 0.4478         
##       Balanced Accuracy : 0.6098         
##                                          
##        'Positive' Class : 1              
## 

Modelo de árbol para caídas

## Confusion Matrix and Statistics
## 
##           
## prediccion FALSE TRUE
##      FALSE    23   14
##      TRUE     12   18
##                                          
##                Accuracy : 0.6119         
##                  95% CI : (0.485, 0.7286)
##     No Information Rate : 0.5224         
##     P-Value [Acc > NIR] : 0.08882        
##                                          
##                   Kappa : 0.2202         
##                                          
##  Mcnemar's Test P-Value : 0.84452        
##                                          
##             Sensitivity : 0.5625         
##             Specificity : 0.6571         
##          Pos Pred Value : 0.6000         
##          Neg Pred Value : 0.6216         
##              Prevalence : 0.4776         
##          Detection Rate : 0.2687         
##    Detection Prevalence : 0.4478         
##       Balanced Accuracy : 0.6098         
##                                          
##        'Positive' Class : TRUE           
## 

predicción de antipsicóticos

	FALSE	TRUE	All	P
	(n=109)	(n=46)	(n=155)
Edad	79 (74-83)	81.5 (76.25-84)	80 (74-84)	0.063
sexoMasculino No	83 (76.15%)	29 (63.04%)	112 (72.26%)	0.142
sexoMasculino Si	26 (23.85%)	17 (36.96%)	43 (27.74%)	0.142
Educacion	12 (7-15)	12 (7-15)	12 (7-15)	0.571
Trabaja No	86 (78.9%)	37 (80.43%)	123 (79.35%)	1
Trabaja Si	23 (21.1%)	9 (19.57%)	32 (20.65%)	1
MMSE	27 (25-28)	25 (22-27)	27 (24.5-28)	0.004
GB Total libre	19 (11-23)	12.5 (5.25-20.25)	17 (9-22)	0.003
TMT_A	67 (50-96)	73.5 (51.5-91)	67 (51-94)	0.877
TMT_B	175 (120-282)	208 (140-350)	193.5 (121.25-296.25)	0.168
Fluencia semántica	13.94±3.82	12.29±4.72	13.45±4.16	0.041
Fluencia fonológica	9 (6-13)	9 (7-13)	9 (7-13)	0.834
Denominación de Boston	48 (42-53)	40 (36-48)	47 (39-52)	0.002
AVDI	7 (6-7)	6 (5-7)	7 (6-7)	0.002
hta No	43 (39.45%)	15 (32.61%)	58 (37.42%)	0.534
hta Si	66 (60.55%)	31 (67.39%)	97 (62.58%)	0.534
diabetes No	103 (94.5%)	38 (82.61%)	141 (90.97%)	0.04
diabetes Si	6 (5.5%)	8 (17.39%)	14 (9.03%)	0.04
acv No	108 (99.08%)	46 (100%)	154 (99.35%)	1
acv Si	1 (0.92%)	0 (0%)	1 (0.65%)	1
caidas No	81 (74.31%)	37 (80.43%)	118 (76.13%)	0.541
caidas Si	28 (25.69%)	9 (19.57%)	37 (23.87%)	0.541
BDZPre No	61 (55.96%)	30 (65.22%)	91 (58.71%)	0.373
BDZPre Si	48 (44.04%)	16 (34.78%)	64 (41.29%)	0.373
antidemenciaPre No	100 (91.74%)	42 (91.3%)	142 (91.61%)	1
antidemenciaPre Si	9 (8.26%)	4 (8.7%)	13 (8.39%)	1

Observations	150
Dependent variable	antipsicoticosPost
Type	Generalized linear model
Family	binomial
Link	logit

χ²(5)	26.878
Pseudo-R² (Cragg-Uhler)	0.234
Pseudo-R² (McFadden)	0.148
AIC	166.654
BIC	184.718

	exp(Est.)	2.5%	97.5%	z val.	p
(Intercept)	212.947	7.561	5997.130	3.148	0.002
sexoMasculinoSi	2.016	0.868	4.686	1.630	0.103
TMT_A	0.989	0.977	1.002	-1.709	0.088
Denominación de Boston	0.931	0.887	0.978	-2.847	0.004
AVDI	0.652	0.473	0.899	-2.607	0.009
diabetesSi	2.950	0.851	10.225	1.706	0.088
Standard errors: MLE

Prediccion con test neuropsic

###Modelo Rpart

## Confusion Matrix and Statistics
## 
##           
## prediccion FALSE TRUE
##      FALSE    51   12
##      TRUE      2    3
##                                           
##                Accuracy : 0.7941          
##                  95% CI : (0.6788, 0.8826)
##     No Information Rate : 0.7794          
##     P-Value [Acc > NIR] : 0.45263         
##                                           
##                   Kappa : 0.2132          
##                                           
##  Mcnemar's Test P-Value : 0.01616         
##                                           
##             Sensitivity : 0.20000         
##             Specificity : 0.96226         
##          Pos Pred Value : 0.60000         
##          Neg Pred Value : 0.80952         
##              Prevalence : 0.22059         
##          Detection Rate : 0.04412         
##    Detection Prevalence : 0.07353         
##       Balanced Accuracy : 0.58113         
##                                           
##        'Positive' Class : TRUE            
## 

Modelo RF

## Confusion Matrix and Statistics
## 
##           antipsicoticosPost
## prediccion  0  1
##          0 50 15
##          1  3  0
##                                          
##                Accuracy : 0.7353         
##                  95% CI : (0.6143, 0.835)
##     No Information Rate : 0.7794         
##     P-Value [Acc > NIR] : 0.846984       
##                                          
##                   Kappa : -0.0794        
##                                          
##  Mcnemar's Test P-Value : 0.009522       
##                                          
##             Sensitivity : 0.00000        
##             Specificity : 0.94340        
##          Pos Pred Value : 0.00000        
##          Neg Pred Value : 0.76923        
##              Prevalence : 0.22059        
##          Detection Rate : 0.00000        
##    Detection Prevalence : 0.04412        
##       Balanced Accuracy : 0.47170        
##                                          
##        'Positive' Class : 1              
## 

Prediccion con diagnostico basal

###Modelo Rpart

## Confusion Matrix and Statistics
## 
##           
## prediccion FALSE TRUE
##      FALSE    51   13
##      TRUE      2    2
##                                          
##                Accuracy : 0.7794         
##                  95% CI : (0.6624, 0.871)
##     No Information Rate : 0.7794         
##     P-Value [Acc > NIR] : 0.568620       
##                                          
##                   Kappa : 0.1297         
##                                          
##  Mcnemar's Test P-Value : 0.009823       
##                                          
##             Sensitivity : 0.13333        
##             Specificity : 0.96226        
##          Pos Pred Value : 0.50000        
##          Neg Pred Value : 0.79688        
##              Prevalence : 0.22059        
##          Detection Rate : 0.02941        
##    Detection Prevalence : 0.05882        
##       Balanced Accuracy : 0.54780        
##                                          
##        'Positive' Class : TRUE           
## 

Modelo RF

## Confusion Matrix and Statistics
## 
##           antipsicoticosPost
## prediccion  0  1
##          0 53 15
##          1  0  0
##                                          
##                Accuracy : 0.7794         
##                  95% CI : (0.6624, 0.871)
##     No Information Rate : 0.7794         
##     P-Value [Acc > NIR] : 0.5686204      
##                                          
##                   Kappa : 0              
##                                          
##  Mcnemar's Test P-Value : 0.0003006      
##                                          
##             Sensitivity : 0.0000         
##             Specificity : 1.0000         
##          Pos Pred Value :    NaN         
##          Neg Pred Value : 0.7794         
##              Prevalence : 0.2206         
##          Detection Rate : 0.0000         
##    Detection Prevalence : 0.0000         
##       Balanced Accuracy : 0.5000         
##                                          
##        'Positive' Class : 1              
## 

Progresion de DCL a demencia

	FALSE	TRUE	All	Missing	P
	(n=75)	(n=80)	(n=155)
Edad	77 (73-82)	81.5 (77-85)	80 (74-84)	0	<0.001
sexoMasculino No	57 (76%)	55 (68.75%)	112 (72.26%)	0	0.408
sexoMasculino Si	18 (24%)	25 (31.25%)	43 (27.74%)	0	0.408
Educacion	12 (7-12)	12 (7-15)	12 (7-15)	0	0.407
Trabaja No	56 (74.67%)	67 (83.75%)	123 (79.35%)	0	0.231
Trabaja Si	19 (25.33%)	13 (16.25%)	32 (20.65%)	0	0.231
MMSE	28 (26-29)	25 (22-27)	27 (24.5-28)	0	<0.001
GB Total libre	21 (17-25.5)	10.5 (4.75-17.25)	17 (9-22)	0	<0.001
TMT_A	68 (47-83.5)	66 (54.75-99)	67 (51-94)	0	0.118
TMT_B	166 (114-243.5)	210 (140.5-350)	193.5 (121.25-296.25)	1	0.009
Fluencia semántica	14 (12-17)	12 (10-14.5)	13 (11-16)	4	0.002
Fluencia fonológica	10.11±4.65	9.54±4.55	9.81±4.59	4	0.451
Denominación de Boston	49 (42-53)	44 (37-50)	47 (39-52)	3	0.005
AVDI	7 (7-7)	6 (5-7)	7 (6-7)	0	<0.001
hta No	30 (40%)	28 (35%)	58 (37.42%)	0	0.634
hta Si	45 (60%)	52 (65%)	97 (62.58%)	0	0.634
diabetes No	71 (94.67%)	70 (87.5%)	141 (90.97%)	0	0.202
diabetes Si	4 (5.33%)	10 (12.5%)	14 (9.03%)	0	0.202
acv No	75 (100%)	79 (98.75%)	154 (99.35%)	0	1
acv Si	0 (0%)	1 (1.25%)	1 (0.65%)	0	1
caidas No	56 (74.67%)	62 (77.5%)	118 (76.13%)	0	0.822
caidas Si	19 (25.33%)	18 (22.5%)	37 (23.87%)	0	0.822
BDZPre No	38 (50.67%)	53 (66.25%)	91 (58.71%)	0	0.071
BDZPre Si	37 (49.33%)	27 (33.75%)	64 (41.29%)	0	0.071
antidemenciaPre No	70 (93.33%)	72 (90%)	142 (91.61%)	0	0.647
antidemenciaPre Si	5 (6.67%)	8 (10%)	13 (8.39%)	0	0.647
TAP R	39 (30.75-46)	41 (30-45)	40 (30-46)	46	0.829
demenciaBasal No	74 (98.67%)	51 (63.75%)	125 (80.65%)	0	<0.001
demenciaBasal Si	1 (1.33%)	29 (36.25%)	30 (19.35%)	0	<0.001
Fasekas SBP 0	19 (33.93%)	12 (19.35%)	31 (26.27%)	37	0.193
Fasekas SBP 1	27 (48.21%)	31 (50%)	58 (49.15%)	37	0.193
Fasekas SBP 2	7 (12.5%)	11 (17.74%)	18 (15.25%)	37	0.193
Fasekas SBP 3	3 (5.36%)	8 (12.9%)	11 (9.32%)	37	0.193
Fasekas SPV 0	14 (25%)	13 (20.97%)	27 (22.88%)	37	0.044
Fasekas SPV 1	34 (60.71%)	26 (41.94%)	60 (50.85%)	37	0.044
Fasekas SPV 2	5 (8.93%)	14 (22.58%)	19 (16.1%)	37	0.044
Fasekas SPV 3	3 (5.36%)	9 (14.52%)	12 (10.17%)	37	0.044

Observations	150
Dependent variable	antipsicoticosPost
Type	Generalized linear model
Family	binomial
Link	logit

χ²(5)	26.88
Pseudo-R² (Cragg-Uhler)	0.23
Pseudo-R² (McFadden)	0.15
AIC	166.65
BIC	184.72

	exp(Est.)	2.5%	97.5%	z val.	p
(Intercept)	212.95	7.56	5997.13	3.15	0.00
sexoMasculinoSi	2.02	0.87	4.69	1.63	0.10
TMT_A	0.99	0.98	1.00	-1.71	0.09
Denominación de Boston	0.93	0.89	0.98	-2.85	0.00
AVDI	0.65	0.47	0.90	-2.61	0.01
diabetesSi	2.95	0.85	10.22	1.71	0.09
Standard errors: MLE

###Modelo Rpart

## Confusion Matrix and Statistics
## 
##           
## prediccion FALSE TRUE
##      FALSE    11    8
##      TRUE     11   16
##                                         
##                Accuracy : 0.587         
##                  95% CI : (0.4323, 0.73)
##     No Information Rate : 0.5217        
##     P-Value [Acc > NIR] : 0.2308        
##                                         
##                   Kappa : 0.1676        
##                                         
##  Mcnemar's Test P-Value : 0.6464        
##                                         
##             Sensitivity : 0.6667        
##             Specificity : 0.5000        
##          Pos Pred Value : 0.5926        
##          Neg Pred Value : 0.5789        
##              Prevalence : 0.5217        
##          Detection Rate : 0.3478        
##    Detection Prevalence : 0.5870        
##       Balanced Accuracy : 0.5833        
##                                         
##        'Positive' Class : TRUE          
## 

Modelo RF

## Confusion Matrix and Statistics
## 
##           demenciaFinal
## prediccion  0  1
##          0 13  8
##          1  9 16
##                                           
##                Accuracy : 0.6304          
##                  95% CI : (0.4755, 0.7679)
##     No Information Rate : 0.5217          
##     P-Value [Acc > NIR] : 0.09148         
##                                           
##                   Kappa : 0.2581          
##                                           
##  Mcnemar's Test P-Value : 1.00000         
##                                           
##             Sensitivity : 0.6667          
##             Specificity : 0.5909          
##          Pos Pred Value : 0.6400          
##          Neg Pred Value : 0.6190          
##              Prevalence : 0.5217          
##          Detection Rate : 0.3478          
##    Detection Prevalence : 0.5435          
##       Balanced Accuracy : 0.6288          
##                                           
##        'Positive' Class : 1               
##