TEER project SVi ABSOLUTE CHANGE
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_composite | sv_0 | sv_1 | sv_2 | change_baseline_to_first | change_baseline_to_second | change_first_to_second |
|---|---|---|---|---|---|---|
| 0 | 32.3 | 39.1 | 41.4 | 8.4 | 10 | 1.6 |
| 1 | 28.7 | 31.5 | 30.1 | 1.8 | 2 | -0.7 |
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 | 1 | 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 |
| 15 | 40.8 | 85.5 | NA | 109.6 | NA | NA | 2017-08-18 | 0 | NA | 2019-03-05 |
| 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 | 2017-12-22 |
| 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 | 2020-01-15 |
| 21 | 80.1 | 64.7 | 66.9 | -19.2 | -16.5 | 3.4 | 2017-11-15 | 1 | 0 | 2018-01-26 |
| 22 | 49.4 | NA | 73.7 | NA | 49.2 | NA | 2017-12-20 | 1 | 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 | 56.9 | 70.2 | 66.2 | 23.4 | 16.3 | -5.7 | 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 | 1 | 0 | 2019-10-28 |
| 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 | 83.6 | 7.4 | 17.1 | 9.0 | 2019-06-17 | 0 | 0 | 2020-07-02 |
| 39 | 58.1 | 81.4 | 64.6 | 40.1 | 11.2 | -20.6 | 2019-06-18 | 0 | 0 | 2019-12-16 |
| 40 | 55.6 | 53.8 | 56.1 | -3.2 | 0.9 | 4.3 | 2019-10-16 | 1 | 0 | 2021-05-17 |
| 41 | 67.2 | 72.2 | 67.9 | 7.4 | 1.0 | -6.0 | 2020-01-29 | 1 | 0 | 2022-09-08 |
| 42 | 95.5 | NA | 87.2 | NA | -8.7 | NA | 2020-01-29 | 0 | 0 | 2022-09-08 |
| 44 | 49.9 | 101.6 | 78.5 | 103.6 | 57.3 | -22.7 | 2020-05-20 | 0 | 0 | 2021-01-18 |
| 46 | 62.8 | 57.0 | NA | -9.2 | NA | NA | 2020-06-17 | 0 | 0 | 2024-05-24 |
| 47 | 31.2 | 38.1 | 46.4 | 22.1 | 48.7 | 21.8 | 2021-02-03 | 1 | 1 | 2021-07-30 |
| 48 | 33.2 | 41.5 | 48.5 | 25.0 | 46.1 | 16.9 | 2021-02-17 | 1 | 1 | 2021-11-20 |
| 49 | 68.4 | 47.1 | NA | -31.1 | NA | NA | 2021-02-17 | 1 | NA | 2021-03-16 |
| 54 | 53.2 | 57.0 | 62.7 | 7.1 | 17.9 | 10.0 | 2021-11-17 | 0 | 0 | 2023-03-31 |
| 56 | 55.4 | 62.3 | 58.9 | 12.5 | 6.3 | -5.5 | 2022-02-16 | 0 | 0 | 2024-04-15 |
| 57 | 45.3 | 48.2 | 49.3 | 6.4 | 8.8 | 2.3 | 2022-05-04 | 0 | 0 | 2024-04-19 |
| 58 | 51.9 | 33.9 | NA | -34.7 | NA | NA | 2022-09-19 | NA | NA | 2024-04-24 |
| 61 | 46.5 | 41.5 | NA | -10.8 | NA | NA | 2023-02-06 | 0 | 0 | 2024-04-18 |
| 62 | 56.5 | 62.8 | NA | 11.2 | NA | NA | 2023-02-08 | 1 | 1 | 2023-08-10 |
| 63 | 58.1 | 73.3 | 41.5 | 26.2 | -28.6 | -43.4 | 2023-02-08 | 0 | 0 | 2024-04-22 |
| 65 | 65.8 | 72.4 | NA | 10.0 | NA | NA | 2023-03-22 | 0 | 0 | 2023-11-16 |
| 67 | 111.4 | 130.5 | NA | 17.1 | NA | NA | 2023-06-14 | 0 | 0 | 2024-01-24 |
Call: survfit(formula = surv_object ~ above_threshold_change, data = survival_dataset)
13 observations deleted due to missingness
n events median 0.95LCL 0.95UCL
above_threshold_change=0 24 13 579 490 NA
above_threshold_change=1 13 5 NA 276 NACall:
coxph(formula = surv_object ~ above_threshold_change, data = survival_dataset)
coef exp(coef) se(coef) z p
above_threshold_change1 -0.3204 0.7259 0.5291 -0.606 0.545
Likelihood ratio test=0.38 on 1 df, p=0.536
n= 37, number of events= 18
(13 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 | 1 | 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+ |
| 15 | 109.6 | NA | NA | 0 | NA | NA | 564+ |
| 16 | -10.2 | 85.7 | 106.8 | 1 | 0 | 1 | 212 |
| 17 | -11.9 | NA | NA | 1 | 1 | NA | 93 |
| 18 | 16.6 | 9.1 | -6.4 | 0 | 0 | 0 | 733+ |
| 20 | -9.0 | NA | NA | 1 | 0 | NA | 791 |
| 21 | -19.2 | -16.5 | 3.4 | 1 | 0 | 0 | 72 |
| 22 | NA | 49.2 | NA | 1 | 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 | 23.4 | 16.3 | -5.7 | 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 | 1 | 0 | NA | 411 |
| 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 | 17.1 | 9.0 | 0 | 0 | 0 | 381+ |
| 39 | 40.1 | 11.2 | -20.6 | 0 | 0 | 0 | 181+ |
| 40 | -3.2 | 0.9 | 4.3 | 1 | 0 | 0 | 579 |
| 41 | 7.4 | 1.0 | -6.0 | 1 | 0 | 0 | 953 |
| 42 | NA | -8.7 | NA | 0 | 0 | 0 | 953+ |
| 44 | 103.6 | 57.3 | -22.7 | 0 | 0 | 1 | 243+ |
| 46 | -9.2 | NA | NA | 0 | 0 | NA | 1437+ |
| 47 | 22.1 | 48.7 | 21.8 | 1 | 1 | 1 | 177 |
| 48 | 25.0 | 46.1 | 16.9 | 1 | 1 | 1 | 276 |
| 49 | -31.1 | NA | NA | 1 | NA | NA | 27 |
| 54 | 7.1 | 17.9 | 10.0 | 0 | 0 | 0 | 499+ |
| 56 | 12.5 | 6.3 | -5.5 | 0 | 0 | 0 | 789+ |
| 57 | 6.4 | 8.8 | 2.3 | 0 | 0 | 0 | 716+ |
| 58 | -34.7 | NA | NA | NA | NA | NA | 583? |
| 61 | -10.8 | NA | NA | 0 | 0 | NA | 437+ |
| 62 | 11.2 | NA | NA | 1 | 1 | NA | 183 |
| 63 | 26.2 | -28.6 | -43.4 | 0 | 0 | 0 | 439+ |
| 65 | 10.0 | NA | NA | 0 | 0 | NA | 239+ |
| 67 | 17.1 | NA | NA | 0 | 0 | NA | 224+ |