1 metadato

2 Descripcion demografica y Univariante

print(tab1, method = 'render', table.classes = 'st-small')

Data Frame Summary

dati

Dimensions: 345 x 31
Duplicates: 0
No Variable Stats / Values Freqs (% of Valid) Graph Valid Missing
1 sexo [factor]
1. varon
2. mujer
209(60.6%)
136(39.4%)
 345 (100.0%) 0 (0.0%)
2 edad [numeric]
Mean (sd) : 57.4 (17.4)
min ≤ med ≤ max:
6 ≤ 60 ≤ 91
IQR (CV) : 25 (0.3)
 72 distinct values 345 (100.0%) 0 (0.0%)
3 cain [factor]
1. dismi_consciencia
2. politraumatismo
3. cefalea
4. hemiparesia
5. electivo
6. traslado
7. caida
8. alt_lenguaje
9. somnolencia
10. convulsiones
[ 2 others ]
45(13.0%)
66(19.1%)
76(22.0%)
41(11.9%)
54(15.7%)
11(3.2%)
5(1.4%)
8(2.3%)
11(3.2%)
13(3.8%)
15(4.3%)
 345 (100.0%) 0 (0.0%)
4 diag [factor]
1. hsa
2. tce
3. loe_cer_menin
4. hematoma_epid
5. ictus_isq
6. ictus_hem
7. hemat_intra
8. hemat_subd
9. hemat_cerb
10. epilersia_fres
[ 2 others ]
89(25.8%)
54(15.7%)
58(16.8%)
7(2.0%)
31(9.0%)
11(3.2%)
46(13.3%)
25(7.2%)
4(1.2%)
12(3.5%)
8(2.3%)
 345 (100.0%) 0 (0.0%)
5 infr [factor]
1. no
2. neumonia
3. traqueobronquitis
184(53.5%)
95(27.6%)
65(18.9%)
 344 (99.7%) 1 (0.3%)
6 taba [factor]
1. no
2. si
154(44.8%)
190(55.2%)
 344 (99.7%) 1 (0.3%)
7 vmi [factor]
1. no
2. si
48(14.0%)
295(86.0%)
 343 (99.4%) 2 (0.6%)
8 dvmi [numeric]
Mean (sd) : 8 (5.5)
min ≤ med ≤ max:
1 ≤ 6 ≤ 35
IQR (CV) : 7 (0.7)
 24 distinct values 295 (85.5%) 50 (14.5%)
9 traq [factor]
1. no
2. si
247(71.6%)
98(28.4%)
 345 (100.0%) 0 (0.0%)
10 dtra [numeric]
Mean (sd) : 5.9 (2.5)
min ≤ med ≤ max:
0 ≤ 6 ≤ 15
IQR (CV) : 3 (0.4)
 14 distinct values 101 (29.3%) 244 (70.7%)
11 trin [factor]
1. no
2. si
300(87.0%)
45(13.0%)
 345 (100.0%) 0 (0.0%)
12 sond [factor]
1. no
2. si
77(22.5%)
265(77.5%)
 342 (99.1%) 3 (0.9%)
13 gcs [numeric]
Mean (sd) : 11 (3.2)
min ≤ med ≤ max:
3 ≤ 12 ≤ 15
IQR (CV) : 5 (0.3)
 13 distinct values 343 (99.4%) 2 (0.6%)
14 hemh [factor]
1. no
2. si
294(86.0%)
48(14.0%)
 342 (99.1%) 3 (0.9%)
15 trau [factor]
1. no
2. si
302(88.0%)
41(12.0%)
 343 (99.4%) 2 (0.6%)
16 shoc [factor]
1. no
2. si
304(88.6%)
39(11.4%)
 343 (99.4%) 2 (0.6%)
17 tcir [factor]
1. no
2. si
104(30.3%)
239(69.7%)
 343 (99.4%) 2 (0.6%)
18 uatb [factor]
1. no
2. si
224(64.9%)
121(35.1%)
 345 (100.0%) 0 (0.0%)
19 fbar [factor]
1. no
2. si
199(57.7%)
146(42.3%)
 345 (100.0%) 0 (0.0%)
20 fcor [factor]
1. no
2. si
265(76.8%)
80(23.2%)
 345 (100.0%) 0 (0.0%)
21 ensc [factor]
1. no
2. si
105(30.8%)
236(69.2%)
 341 (98.8%) 4 (1.2%)
22 epoc [factor]
1. no
2. si
239(70.1%)
102(29.9%)
 341 (98.8%) 4 (1.2%)
23 edm [factor]
1. no
2. si
220(64.5%)
121(35.5%)
 341 (98.8%) 4 (1.2%)
24 ehta [factor]
1. no
2. si
180(52.8%)
161(47.2%)
 341 (98.8%) 4 (1.2%)
25 ecar [factor]
1. no
2. si
212(62.2%)
129(37.8%)
 341 (98.8%) 4 (1.2%)
26 apach [numeric]
Mean (sd) : 13.7 (5.1)
min ≤ med ≤ max:
1 ≤ 13 ≤ 29
IQR (CV) : 7 (0.4)
 28 distinct values 328 (95.1%) 17 (4.9%)
27 tvmi [numeric]
Mean (sd) : 7.2 (5.8)
min ≤ med ≤ max:
0 ≤ 6 ≤ 35
IQR (CV) : 7.8 (0.8)
 25 distinct values 330 (95.7%) 15 (4.3%)
28 duci [numeric]
Mean (sd) : 9.6 (7.1)
min ≤ med ≤ max:
1 ≤ 8 ≤ 46
IQR (CV) : 10 (0.7)
 30 distinct values 341 (98.8%) 4 (1.2%)
29 dte [numeric]
Mean (sd) : 13.8 (9.1)
min ≤ med ≤ max:
2 ≤ 11 ≤ 53
IQR (CV) : 12 (0.7)
 40 distinct values 338 (98.0%) 7 (2.0%)
30 mort [factor]
1. no
2. si
268(78.1%)
75(21.9%)
 343 (99.4%) 2 (0.6%)
31 gcs8 [factor]
1. no
2. si
54(15.7%)
289(84.3%)
 343 (99.4%) 2 (0.6%)

Generated by summarytools 1.0.0 (R version 4.1.0)
2022-05-02

3 Descriptivo variables apache, sonda, dias ventilacion mecanica, glasgow

## 
##  no  si 
##  77 265
##              Outcome +    Outcome -      Total        Inc risk *        Odds
## Exposed +          156          109        265              58.9      1.4312
## Exposed -            2           75         77               2.6      0.0267
## Total              158          184        342              46.2      0.8587
## 
## Point estimates and 95% CIs:
## -------------------------------------------------------------------
## Inc risk ratio                                 22.66 (5.75, 89.32)
## Odds ratio                                     53.67 (12.90, 223.24)
## Attrib risk in the exposed *                   56.27 (49.36, 63.18)
## Attrib fraction in the exposed (%)            95.59 (82.61, 98.88)
## Attrib risk in the population *                43.60 (37.23, 49.97)
## Attrib fraction in the population (%)         94.38 (78.20, 98.55)
## -------------------------------------------------------------------
## Uncorrected chi2 test that OR = 1: chi2(1) = 76.006 Pr>chi2 = <0.001
## Fisher exact test that OR = 1: Pr>chi2 = <0.001
##  Wald confidence limits
##  CI: confidence interval
##  * Outcomes per 100 population units
## Warning: Removed 17 rows containing non-finite values (stat_density).

## Warning: Removed 50 rows containing non-finite values (stat_density).

## Warning: Removed 2 rows containing non-finite values (stat_density).

4 bivariante

5 Regresion logística

  inf2
Predictors Odds Ratios CI p
sexo=mujer 1.17 0.55 – 2.51 0.677
taba=si 4.90 2.22 – 10.81 <0.001
trin=si 5.42 1.38 – 21.22 0.015
sond=si 42.32 8.42 – 212.80 <0.001
trau=si 1.68 0.41 – 6.81 0.469
shoc=si 0.49 0.13 – 1.88 0.297
uatb=si 1.06 0.47 – 2.36 0.892
fbar=si 1.94 0.95 – 3.94 0.069
ensc=si 1.48 0.59 – 3.74 0.404
epoc=si 3.14 1.29 – 7.60 0.011
edm=si 0.99 0.45 – 2.17 0.974
ehta=si 1.88 0.88 – 4.00 0.104
ecar=si 1.46 0.65 – 3.28 0.356
apach 1.35 1.21 – 1.50 <0.001
gcs8=si 0.53 0.17 – 1.59 0.257
Observations 324
R2 0.695 
## Frequencies of Missing Values Due to Each Variable
##  inf2  sexo  taba  trin  sond  trau  shoc  uatb  fbar  ensc  epoc   edm  ehta 
##     1     0     1     0     3     2     2     0     0     4     4     4     4 
##  ecar apach  gcs8 
##     4    17     2 
## 
## Logistic Regression Model
##  
##  lrm(formula = modfin, data = data.frame(datis), x = T, y = T)
##  
##  
##                         Model Likelihood    Discrimination    Rank Discrim.    
##                               Ratio Test           Indexes          Indexes    
##  Obs           324    LR chi2     238.42    R2       0.695    C       0.935    
##   0            170    d.f.            15    g        3.928    Dxy     0.871    
##   1            154    Pr(> chi2) <0.0001    gr      50.811    gamma   0.871    
##  max |deriv| 9e-05                          gp       0.435    tau-a   0.436    
##                                             Brier    0.100                     
##  
##             Coef    S.E.   Wald Z Pr(>|Z|)
##  Intercept  -9.4553 1.4803 -6.39  <0.0001 
##  sexo=mujer  0.1612 0.3868  0.42  0.6769  
##  taba=si     1.5886 0.4040  3.93  <0.0001 
##  trin=si     1.6900 0.6965  2.43  0.0152  
##  sond=si     3.7452 0.8241  4.54  <0.0001 
##  trau=si     0.5176 0.7147  0.72  0.4689  
##  shoc=si    -0.7166 0.6873 -1.04  0.2971  
##  uatb=si     0.0556 0.4090  0.14  0.8918  
##  fbar=si     0.6607 0.3628  1.82  0.0686  
##  ensc=si     0.3940 0.4726  0.83  0.4045  
##  epoc=si     1.1431 0.4513  2.53  0.0113  
##  edm=si     -0.0131 0.4021 -0.03  0.9740  
##  ehta=si     0.6287 0.3866  1.63  0.1039  
##  ecar=si     0.3799 0.4117  0.92  0.3561  
##  apach       0.3009 0.0549  5.49  <0.0001 
##  gcs8=si    -0.6409 0.5651 -1.13  0.2567  
##

6 nomograma con variables significativas + profilaxis AB

## Frequencies of Missing Values Due to Each Variable
##  inf2  taba  trin  sond  uatb  epoc apach 
##     1     1     0     3     0     4    17 
## 
## Logistic Regression Model
##  
##  lrm(formula = bwf2, data = data.frame(datis), x = T, y = T)
##  
##  
##                         Model Likelihood    Discrimination    Rank Discrim.    
##                               Ratio Test           Indexes          Indexes    
##  Obs           324    LR chi2     226.73    R2       0.672    C       0.927    
##   0            170    d.f.             6    g        3.676    Dxy     0.853    
##   1            154    Pr(> chi2) <0.0001    gr      39.505    gamma   0.856    
##  max |deriv| 6e-05                          gp       0.427    tau-a   0.427    
##                                             Brier    0.107                     
##  
##            Coef    S.E.   Wald Z Pr(>|Z|)
##  Intercept -9.0327 1.2035 -7.51  <0.0001 
##  taba=si    1.4821 0.3471  4.27  <0.0001 
##  trin=si    1.1465 0.5056  2.27  0.0233  
##  sond=si    3.8898 0.8157  4.77  <0.0001 
##  uatb=si   -0.0947 0.3812 -0.25  0.8038  
##  epoc=si    1.2405 0.4004  3.10  0.0019  
##  apach      0.3070 0.0501  6.13  <0.0001 
##

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