1 tabla univariante

Data Frame Summary

datis3

Dimensions: 84 x 59
Duplicates: 0
No Variable Stats / Values Freqs (% of Valid) Graph Valid Missing
1 id [numeric]
Mean (sd) : 56.6 (32.4)
min ≤ med ≤ max:
1 ≤ 55.5 ≤ 113
IQR (CV) : 53.8 (0.6)
 84 distinct values 84 (100.0%) 0 (0.0%)
2 plan [character]
1. DAIR
2. DAIR - DAIR
3. DAIR - DAIR - REC
4. DAIR - REC
55(65.5%)
10(11.9%)
2(2.4%)
17(20.2%)
 84 (100.0%) 0 (0.0%)
3 clasificacion [character]
1. 3
2. 3,5,6
3. 3.4
4. 3.5
55(65.5%)
2(2.4%)
17(20.2%)
10(11.9%)
 84 (100.0%) 0 (0.0%)
4 tipo_ip [character]
1. AGUDA
2. HEMATOGENA
72(85.7%)
12(14.3%)
 84 (100.0%) 0 (0.0%)
5 n_dair [numeric]
Min : 1
Mean : 1.1
Max : 2
1:72(85.7%)
2:12(14.3%)
 84 (100.0%) 0 (0.0%)
6 exito_dair1 [logical]
1. FALSE
2. TRUE
36(42.9%)
48(57.1%)
 84 (100.0%) 0 (0.0%)
7 exito_dair2 [character]
1. FALSE
2. NA
3. TRUE
11(13.1%)
72(85.7%)
1(1.2%)
 84 (100.0%) 0 (0.0%)
8 poly_exchage [character]
1. NO
2. SI
40(47.6%)
44(52.4%)
 84 (100.0%) 0 (0.0%)
9 daystodair_old [numeric]
Mean (sd) : 33.3 (22.6)
min ≤ med ≤ max:
2 ≤ 27.5 ≤ 88
IQR (CV) : 23.8 (0.7)
 47 distinct values 84 (100.0%) 0 (0.0%)
10 daysurgtodair [numeric]
Mean (sd) : 37 (22)
min ≤ med ≤ max:
8 ≤ 29.5 ≤ 88
IQR (CV) : 25.8 (0.6)
 43 distinct values 72 (85.7%) 12 (14.3%)
11 daysintodair [numeric]
Mean (sd) : 8.7 (5.9)
min ≤ med ≤ max:
2 ≤ 8 ≤ 20
IQR (CV) : 5.2 (0.7)
2:1(8.3%)
3:1(8.3%)
4:2(16.7%)
8:4(33.3%)
9:1(8.3%)
10:1(8.3%)
20:2(16.7%)
 12 (14.3%) 72 (85.7%)
12 days1to2dair [numeric]
Mean (sd) : 31.8 (29.4)
min ≤ med ≤ max:
6 ≤ 19 ≤ 90
IQR (CV) : 31.8 (0.9)
 11 distinct values 12 (14.3%) 72 (85.7%)
13 follow_up [numeric]
Mean (sd) : 67.4 (33.6)
min ≤ med ≤ max:
12 ≤ 57 ≤ 146
IQR (CV) : 60 (0.5)
 39 distinct values 84 (100.0%) 0 (0.0%)
14 final_status [character]
1. FAIL
2. FREE
25(29.8%)
59(70.2%)
 84 (100.0%) 0 (0.0%)
15 lfinal_status [character]
1. FAIL ARTHRODESIS
2. FAIL RECURRENT
3. FAIL RESECTION
4. FAIL SAT
5. FREE
1(1.2%)
10(11.9%)
2(2.4%)
12(14.3%)
59(70.2%)
 84 (100.0%) 0 (0.0%)
16 procedimiento [character]
1. PTC
2. PTR
3. RPTC
4. RPTR
32(38.1%)
35(41.7%)
15(17.9%)
2(2.4%)
 84 (100.0%) 0 (0.0%)
17 indicacion [character]
1. Artrosis
2. Other
56(66.7%)
28(33.3%)
 84 (100.0%) 0 (0.0%)
18 cementada [character]
1. Cementado
2. NO
41(48.8%)
43(51.2%)
 84 (100.0%) 0 (0.0%)
19 edad [numeric]
Mean (sd) : 67.6 (11.8)
min ≤ med ≤ max:
16 ≤ 69 ≤ 85
IQR (CV) : 17 (0.2)
 36 distinct values 84 (100.0%) 0 (0.0%)
20 sexo [character]
1. H
2. M
56(66.7%)
28(33.3%)
 84 (100.0%) 0 (0.0%)
21 asa [character]
1. I
2. II
3. III
4. IV
9(10.7%)
43(51.2%)
30(35.7%)
2(2.4%)
 84 (100.0%) 0 (0.0%)
22 charlson [numeric]
Mean (sd) : 4.1 (2.1)
min ≤ med ≤ max:
0 ≤ 4 ≤ 9
IQR (CV) : 2 (0.5)
0:3(3.6%)
1:6(7.1%)
2:11(13.1%)
3:12(14.3%)
4:18(21.4%)
5:14(16.7%)
6:11(13.1%)
7:4(4.8%)
8:3(3.6%)
9:2(2.4%)
 84 (100.0%) 0 (0.0%)
23 charlson4om [logical]
1. FALSE
2. TRUE
32(38.1%)
52(61.9%)
 84 (100.0%) 0 (0.0%)
24 ecv [logical]
1. FALSE
2. TRUE
58(69.0%)
26(31.0%)
 84 (100.0%) 0 (0.0%)
25 ete_previa [logical]
1. FALSE
2. TRUE
78(92.9%)
6(7.1%)
 84 (100.0%) 0 (0.0%)
26 neumopatia [logical]
1. FALSE
2. TRUE
65(77.4%)
19(22.6%)
 84 (100.0%) 0 (0.0%)
27 hta [logical]
1. FALSE
2. TRUE
35(41.7%)
49(58.3%)
 84 (100.0%) 0 (0.0%)
28 psiquiatrica [logical]
1. FALSE
2. TRUE
79(94.0%)
5(6.0%)
 84 (100.0%) 0 (0.0%)
29 diabetes [logical]
1. FALSE
2. TRUE
65(77.4%)
19(22.6%)
 84 (100.0%) 0 (0.0%)
30 imc [numeric]
Mean (sd) : 30.7 (5.8)
min ≤ med ≤ max:
19 ≤ 30 ≤ 51
IQR (CV) : 7 (0.2)
 25 distinct values 84 (100.0%) 0 (0.0%)
31 gastropatía [logical]
1. FALSE
2. TRUE
69(82.1%)
15(17.9%)
 84 (100.0%) 0 (0.0%)
32 inmunodepresion [logical]
1. FALSE
2. TRUE
78(92.9%)
6(7.1%)
 84 (100.0%) 0 (0.0%)
33 malignidad [logical]
1. FALSE
2. TRUE
65(77.4%)
19(22.6%)
 84 (100.0%) 0 (0.0%)
34 renopatia [logical]
1. FALSE
2. TRUE
75(89.3%)
9(10.7%)
 84 (100.0%) 0 (0.0%)
35 reumatismo [logical]
1. FALSE
2. TRUE
66(78.6%)
18(21.4%)
 84 (100.0%) 0 (0.0%)
36 hepatopatia [logical]
1. FALSE
2. TRUE
81(96.4%)
3(3.6%)
 84 (100.0%) 0 (0.0%)
37 antiagregacion [logical]
1. FALSE
2. TRUE
67(79.8%)
17(20.2%)
 84 (100.0%) 0 (0.0%)
38 coagulopatía [logical]
1. FALSE
2. TRUE
75(89.3%)
9(10.7%)
 84 (100.0%) 0 (0.0%)
39 tabaco [logical]
1. FALSE
2. TRUE
44(52.4%)
40(47.6%)
 84 (100.0%) 0 (0.0%)
40 alcohol [logical]
1. FALSE
2. TRUE
67(79.8%)
17(20.2%)
 84 (100.0%) 0 (0.0%)
41 seroma [logical]
1. FALSE
2. TRUE
36(42.9%)
48(57.1%)
 84 (100.0%) 0 (0.0%)
42 hematoma [logical]
1. FALSE
2. TRUE
55(65.5%)
29(34.5%)
 84 (100.0%) 0 (0.0%)
43 skin_infection [logical]
1. FALSE
2. TRUE
52(61.9%)
32(38.1%)
 84 (100.0%) 0 (0.0%)
44 fistula [logical]
1. FALSE
2. TRUE
52(61.9%)
32(38.1%)
 84 (100.0%) 0 (0.0%)
45 fiebre [logical]
1. FALSE
2. TRUE
56(66.7%)
28(33.3%)
 84 (100.0%) 0 (0.0%)
46 hb_preop [numeric]
Mean (sd) : 14 (1.5)
min ≤ med ≤ max:
10.3 ≤ 14.2 ≤ 16.8
IQR (CV) : 2.2 (0.1)
 48 distinct values 84 (100.0%) 0 (0.0%)
47 pcr [numeric]
Mean (sd) : 11.4 (11)
min ≤ med ≤ max:
0.1 ≤ 6.9 ≤ 41.7
IQR (CV) : 13.8 (1)
 74 distinct values 84 (100.0%) 0 (0.0%)
48 wbc_serum [numeric]
Mean (sd) : 9.2 (3.8)
min ≤ med ≤ max:
3.2 ≤ 8.1 ≤ 24
IQR (CV) : 4.7 (0.4)
 54 distinct values 84 (100.0%) 0 (0.0%)
49 hemocultivo+ [logical]
1. FALSE
2. TRUE
79(94.0%)
5(6.0%)
 84 (100.0%) 0 (0.0%)
50 microorganism [character]
1. SASM
2. CoNS
3. Polymicrobial
4. Culture negative
5. S.dysgalactiae
6. P. acnes
7. S.lugdunensis
8. Corynebacterium spp.
9. P. aeruginosa
10. SARM
[ 5 others ]
24(28.6%)
23(27.4%)
9(10.7%)
7(8.3%)
4(4.8%)
3(3.6%)
3(3.6%)
2(2.4%)
2(2.4%)
2(2.4%)
5(6.0%)
 84 (100.0%) 0 (0.0%)
51 cultivo+porc [numeric]
Mean (sd) : 62.1 (35.7)
min ≤ med ≤ max:
0 ≤ 64.5 ≤ 100
IQR (CV) : 67 (0.6)
 19 distinct values 84 (100.0%) 0 (0.0%)
52 cultivo+100 [logical]
1. FALSE
2. TRUE
53(63.1%)
31(36.9%)
 84 (100.0%) 0 (0.0%)
53 germen2dair [character]
1. Culture negative
2. E. faecalis
3. NA
4. Polymicrobial
5. S. lugdunensis
6. SASM
7. Serratia marcesens
5(6.0%)
1(1.2%)
72(85.7%)
1(1.2%)
1(1.2%)
3(3.6%)
1(1.2%)
 84 (100.0%) 0 (0.0%)
54 inf2dair [character]
1. FALSE
2. NA
11(13.1%)
73(86.9%)
 84 (100.0%) 0 (0.0%)
55 exitod [logical]
1. FALSE
2. TRUE
35(41.7%)
49(58.3%)
 84 (100.0%) 0 (0.0%)
56 PTC [logical]
1. FALSE
2. TRUE
52(61.9%)
32(38.1%)
 84 (100.0%) 0 (0.0%)
57 PTR [logical]
1. FALSE
2. TRUE
49(58.3%)
35(41.7%)
 84 (100.0%) 0 (0.0%)
58 RPTC [logical]
1. FALSE
2. TRUE
69(82.1%)
15(17.9%)
 84 (100.0%) 0 (0.0%)
59 RPTR [logical]
1. FALSE
2. TRUE
82(97.6%)
2(2.4%)
 84 (100.0%) 0 (0.0%)

Generated by summarytools 1.0.1 (R version 4.2.0)
2022-10-07

2 p(exito y fracaso) segun rama

2.1 recambio (2)

2.2 recambio (1)

res n est lwr.ci upr.ci
exito 4 0.8 0.28 0.99
fracaso 1 0.2 0.01 0.72

2.3 dair 1 (3)

res n est lwr.ci upr.ci
exito 48 0.57 0.46 0.68
fracaso 36 0.43 0.32 0.54

2.4 recambio (4)

res n est lwr.ci upr.ci
exito 10 0.59 0.33 0.82
fracaso 7 0.41 0.18 0.67

2.5 dair 2 (5)

res n est lwr.ci upr.ci
exito 1 0.08 0.00 0.38
fracaso 11 0.92 0.62 1.00

2.6 recambio (6)

res n est lwr.ci upr.ci
exito 0 0 0.00 0.84
fracaso 2 1 0.16 1.00

3 tabla bivariante

4 daystodair

5 days1to2dair

## Warning: Removed 72 rows containing non-finite values (stat_bin).

6 status final

6.1 free

## single
kable(icbin(10,24-10))
res n est lwr.ci upr.ci
exito 10 0.42 0.22 0.63
fracaso 14 0.58 0.37 0.78 
## second
kable(icbin(0,11))
res n est lwr.ci upr.ci
exito 0 0 0.00 0.28
fracaso 11 1 0.72 1.00

6.2 SAT

## single
kable(icbin(6,24-6))
res n est lwr.ci upr.ci
exito 6 0.25 0.10 0.47
fracaso 18 0.75 0.53 0.90 
## second
kable(icbin(6,11-6))
res n est lwr.ci upr.ci
exito 6 0.55 0.23 0.83
fracaso 5 0.45 0.17 0.77

6.3 resection or fusion

## single
kable(icbin(3,24-3))
res n est lwr.ci upr.ci
exito 3 0.12 0.03 0.32
fracaso 21 0.88 0.68 0.97 
## second
kable(icbin(0,11))
res n est lwr.ci upr.ci
exito 0 0 0.00 0.28
fracaso 11 1 0.72 1.00

6.4 recurrent infection

## single
kable(icbin(5,24-5))
res n est lwr.ci upr.ci
exito 5 0.21 0.07 0.42
fracaso 19 0.79 0.58 0.93 
## second
kable(icbin(5,11-5))
res n est lwr.ci upr.ci
exito 5 0.45 0.17 0.77
fracaso 6 0.55 0.23 0.83 
pp=data.frame(res=c("exito","fracaso","exito","fracaso"), tipo=c("single","single","second","second"), n=c(10,14,0,11))

ggplot(pp, aes(x=n, color=res)) +geom_histogram(position="identity")

ggplot(pp, aes(n, fill = res)) + geom_histogram()

pp %>% ggplot(aes(x = n, y = res, color=tipo)) + geom_col()