General SV trend (means)

General SV trend by outcome

I decided to pick composite of CV death (not all cause death) and hospitalization, because pt ID 1 has good increase in SV and cancer death and this could interfere with our analysis. Here 2 pts with missing outcome are removed.

Table SV trend by outcome

outcome_cvdeath sv_0 sv_1 sv_2 change_baseline_to_first change_baseline_to_second change_first_to_second
0 56.4 66.4 71.4 20.2 38.2 9.8
1 48.6 57.1 44.5 13.2 2.8 -3.9
outcome_composite sv_0 sv_1 sv_2 change_baseline_to_first change_baseline_to_second change_first_to_second
0 56.8 70.1 76.9 25.6 46.5 10.7
1 53.8 58.9 54.8 11.4 12.3 5.4

Individual SV trend

Those in red box have outcome of CV death or hospitalization

Data

id sv_0 sv_1 sv_2 change_baseline_to_first change_baseline_to_second change_first_to_second mitra_clip_date outcome_composite outcome_cvdeath outcome_date
1 80.7 97.1 67.9 20.3 -15.9 -30.1 2016-10-28 0 0 2018-12-14
3 54.0 80.0 114.9 48.1 112.8 43.6 2016-12-02 0 0 2019-08-06
4 75.1 71.4 NA -4.9 NA NA 2016-12-16 1 0 2018-05-26
5 32.8 57.9 58.6 76.5 78.7 1.2 2017-01-20 1 0 2018-04-20
6 58.4 54.4 60.0 -6.8 2.7 10.3 2017-02-17 1 1 2018-09-14
7 49.9 76.2 95.2 52.7 90.8 24.9 2017-03-17 0 0 2019-10-28
8 74.1 62.9 77.3 -15.1 4.3 22.9 2017-04-21 1 0 2017-12-16
9 47.7 58.2 56.6 22.0 18.7 -2.7 2017-05-05 0 0 2019-07-18
11 70.9 74.3 72.5 4.8 2.3 -2.4 2017-06-09 0 0 2019-06-07
13 35.9 NA 47.5 NA 32.3 NA 2017-06-23 1 1 2017-12-24
14 48.1 69.7 106.5 44.9 121.4 52.8 2017-08-18 0 0 2019-08-19
16 34.3 30.8 63.7 -10.2 85.7 106.8 2017-09-20 1 0 2018-04-20
17 68.7 60.5 NA -11.9 NA NA 2017-09-20 1 1 2017-09-27
18 71.1 82.9 77.6 16.6 9.1 -6.4 2017-10-18 0 0 2019-10-21
20 54.7 49.8 NA -9.0 NA NA 2017-11-15 1 0 2020-02-12
21 80.1 64.7 66.9 -19.2 -16.5 3.4 2017-11-15 0 0 2018-01-26
22 49.4 NA 73.7 NA 49.2 NA 2017-12-20 0 0 2018-08-21
23 75.8 96.8 59.2 27.7 -21.9 -38.8 2018-01-17 0 0 2020-02-19
24 58.0 70.8 80.7 22.1 39.1 14.0 2018-02-21 0 0 2019-11-26
25 66.4 81.8 66.2 23.2 -0.3 -19.1 2018-03-21 1 0 2018-04-13
26 48.1 48.5 46.8 0.8 -2.7 -3.5 2018-05-16 1 0 2019-11-25
27 36.3 66.1 73.4 82.1 102.2 11.0 2018-05-16 0 0 2020-01-08
28 37.4 52.5 43.0 40.4 15.0 -18.1 2018-05-30 1 1 2019-10-02
30 46.5 61.0 NA 31.2 NA NA 2018-06-06 1 1 2019-09-06
31 63.2 66.0 59.4 4.4 -6.0 -10.0 2018-06-18 1 0 2018-08-17
32 44.5 NA 27.3 NA -38.7 NA 2018-09-12 1 1 2019-10-28
33 47.9 47.7 NA -0.4 NA NA 2018-09-12 0 0 NA
35 35.2 48.7 52.5 38.4 49.1 7.8 2018-11-21 0 0 2020-03-13
36 52.8 68.5 39.9 29.7 -24.4 -41.8 2019-02-20 1 0 2019-12-07
37 40.2 58.5 98.7 45.5 145.5 68.7 2019-02-20 0 0 2020-01-23
38 71.4 76.7 NA 7.4 NA NA 2019-06-17 0 0 2020-07-02
40 55.6 53.8 56.1 -3.2 0.9 4.3 2019-10-16 0 0 2020-09-07
41 67.2 NA 67.9 NA 1.0 NA 2020-01-29 1 NA 2021-12-01
42 95.5 NA 87.2 NA -8.7 NA 2020-01-29 NA NA 2020-09-08
44 49.9 NA 78.5 NA 57.3 NA 2020-05-20 0 0 2021-01-18

threshold <- 35.7

## Call: survfit(formula = surv_object ~ above_threshold_change, data = survival_dataset)
## 
##    7 observations deleted due to missingness 
##                           n events median 0.95LCL 0.95UCL
## above_threshold_change=0 17     10    558     411      NA
## above_threshold_change=1 11      2     NA      NA      NA
## Call:
## coxph(formula = surv_object ~ above_threshold_change, data = survival_dataset)
## 
##                            coef exp(coef) se(coef)      z     p
## above_threshold_change1 -1.2345    0.2910   0.7757 -1.592 0.111
## 
## Likelihood ratio test=3.23  on 1 df, p=0.07238
## n= 28, number of events= 12 
##    (7 observations deleted due to missingness)
id baseline_to_first baseline_to_second first_to_second outcome_com outcome_cvdeath above_threshold surv_object
1 20.3 -15.9 -30.1 0 0 0 777+
3 48.1 112.8 43.6 0 0 1 977+
4 -4.9 NA NA 1 0 NA 526
5 76.5 78.7 1.2 1 0 1 455
6 -6.8 2.7 10.3 1 1 0 574
7 52.7 90.8 24.9 0 0 1 955+
8 -15.1 4.3 22.9 1 0 0 239
9 22.0 18.7 -2.7 0 0 0 804+
11 4.8 2.3 -2.4 0 0 0 728+
13 NA 32.3 NA 1 1 0 184
14 44.9 121.4 52.8 0 0 1 731+
16 -10.2 85.7 106.8 1 0 1 212
17 -11.9 NA NA 1 1 NA 7
18 16.6 9.1 -6.4 0 0 0 733+
20 -9.0 NA NA 1 0 NA 819
21 -19.2 -16.5 3.4 0 0 0 72+
22 NA 49.2 NA 0 0 1 244+
23 27.7 -21.9 -38.8 0 0 0 763+
24 22.1 39.1 14.0 0 0 1 643+
25 23.2 -0.3 -19.1 1 0 0 23
26 0.8 -2.7 -3.5 1 0 0 558
27 82.1 102.2 11.0 0 0 1 602+
28 40.4 15.0 -18.1 1 1 0 490
30 31.2 NA NA 1 1 NA 457
31 4.4 -6.0 -10.0 1 0 0 60
32 NA -38.7 NA 1 1 0 411
33 -0.4 NA NA 0 0 NA NA+
35 38.4 49.1 7.8 0 0 1 478+
36 29.7 -24.4 -41.8 1 0 0 290
37 45.5 145.5 68.7 0 0 1 337+
38 7.4 NA NA 0 0 NA 381+
40 -3.2 0.9 4.3 0 0 0 327+
41 NA 1.0 NA 1 NA 0 672
42 NA -8.7 NA NA NA 0 223?
44 NA 57.3 NA 0 0 1 243+