# A tibble: 3 × 2
combined_end_point_card_neo_death n
<dbl> <int>
1 0 74
2 1 16
3 NA 10Follow up manuscript FINAL FEB 25
Metadata and analysis of the file: CPXE_26.2.23.follow-up stary + nowy.xlsx
Outcomes are derived from file: 25.2.24.CPXE_3_26_follow_up dla MT_12.03_DATA_ANKIETY.xlsx
Each row represents one patient.
Outcome:
combined_end_point_card_neo_death
Beginning of follow up:
First MI date, “mi_date_hosp” variable
Number of observations:
100
Number of variables:
676
RER threshold:
0
RER variable:
rer_maxload_cpxe_1
EF threshold:
40
EF variable:
ef_rest_prec_cpxe_1
Excluding patient with ID 7 (hyperthyroid):
TRUE
Outcome
Excluding patient with hyperthyroidism
[1] 1.14 1.44 1.05 1.07 1.22 1.22 1.20 1.23 1.33 1.21 1.06 1.05 1.20 1.22 1.31
[16] 1.15 1.22 1.07 1.16 1.05 1.08 1.07 NA 1.11 1.11 1.12 1.28 1.25 1.00 1.12
[31] 1.22 1.06 1.12 1.14 1.05 0.92 0.93 1.20 1.20 0.92 1.05 1.23 1.26 1.07 1.12
[46] 1.05 0.99 1.08 0.98 1.21 1.05 1.08 1.11 1.05 1.00 1.12 1.20 0.83 1.05 1.16
[61] 1.05 0.97 1.25 1.15 1.05 1.05 1.05 1.10 1.05 1.18 0.99 0.95 1.17 0.96 1.12
[76] 1.18 1.12 1.15 1.19 0.99 1.07 1.21 1.37 1.39 1.30 1.05 1.30 1.30 0.94 1.30
[91] 1.11 1.32 1.12 1.20 1.15 1.05 1.05 1.09 1.14 [1] 1.14 1.44 1.05 1.07 1.22 1.22 1.20 1.23 1.33 1.21 1.06 1.05 1.20 1.22 1.31
[16] 1.15 1.22 1.07 1.16 1.05 1.08 1.07 NA 1.11 1.11 1.12 1.28 1.25 1.00 1.12
[31] 1.22 1.06 1.12 1.14 1.05 0.92 0.93 1.20 1.20 0.92 1.05 1.23 1.26 1.07 1.12
[46] 1.05 1.00 1.08 1.00 1.21 1.05 1.08 1.11 1.05 1.00 1.12 1.20 0.83 1.05 1.16
[61] 1.05 1.00 1.25 1.15 1.05 1.05 1.05 1.10 1.05 1.18 1.00 1.00 1.17 1.00 1.12
[76] 1.18 1.12 1.15 1.19 1.00 1.07 1.21 1.37 1.39 1.30 1.05 1.30 1.30 0.94 1.30
[91] 1.11 1.32 1.12 1.20 1.15 1.05 1.05 1.09 1.14Number of observations after removal of patients with hyperthyroid:
99
All our RER initialy
[1] 1.14 1.44 1.05 1.07 1.22 1.22 1.20 1.23 1.33 1.21 1.06 1.05 1.20 1.22 1.31
[16] 1.15 1.22 1.07 1.16 1.05 1.08 1.07 NA 1.11 1.11 1.12 1.28 1.25 1.00 1.12
[31] 1.22 1.06 1.12 1.14 1.05 0.92 0.93 1.20 1.20 0.92 1.05 1.23 1.26 1.07 1.12
[46] 1.05 1.00 1.08 1.00 1.21 1.05 1.08 1.11 1.05 1.00 1.12 1.20 0.83 1.05 1.16
[61] 1.05 1.00 1.25 1.15 1.05 1.05 1.05 1.10 1.05 1.18 1.00 1.00 1.17 1.00 1.12
[76] 1.18 1.12 1.15 1.19 1.00 1.07 1.21 1.37 1.39 1.30 1.05 1.30 1.30 0.94 1.30
[91] 1.11 1.32 1.12 1.20 1.15 1.05 1.05 1.09 1.14RER below threshold patients
# A tibble: 0 × 3
# ℹ 3 variables: id <dbl>, rer_maxload_cpxe_1 <dbl>,
# combined_end_point_card_neo_death <dbl>All out EF initially
[1] 54 38 59 56 35 51 52 55 48 68 50 74 50 46 59 58 60 47 57 64 57 48 NA 57 53
[26] 69 58 58 47 41 54 48 51 70 54 56 46 55 61 51 59 71 57 56 54 55 57 49 68 48
[51] 45 57 67 66 60 56 59 61 65 56 57 64 59 59 53 50 48 67 51 51 61 59 66 42 53
[76] 32 47 27 59 73 55 55 54 64 79 62 60 53 42 73 58 61 66 59 62 68 66 63 73EF below threshold
# A tibble: 4 × 3
id ef_rest_prec_cpxe_1 combined_end_point_card_neo_death
<dbl> <dbl> <dbl>
1 2 38 NA
2 5 35 0
3 77 32 0
4 79 27 0All patients removed in this analysis (RER and EF below threshold)
# A tibble: 4 × 4
id ef_rest_prec_cpxe_1 rer_maxload_cpxe_1 combined_end_point_card_neo_death
<dbl> <dbl> <dbl> <dbl>
1 2 38 1.44 NA
2 5 35 1.22 0
3 77 32 1.18 0
4 79 27 1.15 0Number of observations after removal of below EF and RER threshold + removal of hyperthyroid
95
Patients with missing outcome
# A tibble: 9 × 2
id combined_end_point_card_neo_death
<dbl> <dbl>
1 24 NA
2 25 NA
3 28 NA
4 29 NA
5 39 NA
6 42 NA
7 58 NA
8 81 NA
9 99 NANumber of observations after removal of patients with missing outcome + low RER (if any) + low EF + hyperthyroid:
86
ROC curve
PANEL group AUC
1 1 -1 0.72723 threshold sensitivity specificity
1 66.86627 0.8666667 0.5492958Sensitivity: 0.8666667 Specificity: 0.5492958 PPV: 0.2888889 NPV: 0.9512195 
Survival analysis
Survival analysis table
| id | como_end_point_card_neo_death | days_difference | mi_date_hosp | date_endpoint_or_survey |
|---|---|---|---|---|
| 19 | 1 | 104 | 2016-05-08 | 2016-08-20 |
| 3 | 1 | 131 | 2015-11-14 | 2016-03-24 |
| 10 | 1 | 144 | 2016-03-18 | 2016-08-09 |
| 91 | 0 | 193 | 2018-07-05 | 2019-01-14 |
| 92 | 1 | 203 | 2018-06-04 | 2018-12-24 |
| 87 | 0 | 220 | 2018-05-28 | 2019-01-03 |
| 85 | 1 | 229 | 2018-04-16 | 2018-12-01 |
| 89 | 0 | 231 | 2018-05-18 | 2019-01-04 |
| 62 | 1 | 270 | 2017-05-07 | 2018-02-01 |
| 23 | 1 | 346 | 2016-06-10 | 2017-05-22 |
| 76 | 0 | 368 | 2017-12-31 | 2019-01-03 |
| 71 | 1 | 393 | 2017-05-31 | 2018-06-28 |
| 70 | 1 | 471 | 2017-09-30 | 2019-01-14 |
| 48 | 1 | 531 | 2017-01-04 | 2018-06-19 |
| 65 | 0 | 603 | 2017-05-09 | 2019-01-02 |
| 59 | 0 | 626 | 2017-04-16 | 2019-01-02 |
| 61 | 0 | 628 | 2017-04-14 | 2019-01-02 |
| 56 | 0 | 636 | 2017-04-06 | 2019-01-02 |
| 54 | 0 | 644 | 2017-03-29 | 2019-01-02 |
| 49 | 0 | 647 | 2017-03-22 | 2018-12-29 |
| 95 | 0 | 668 | 2018-09-30 | 2020-07-29 |
| 47 | 0 | 729 | 2016-12-30 | 2018-12-29 |
| 46 | 0 | 739 | 2017-01-05 | 2019-01-14 |
| 94 | 0 | 772 | 2018-11-05 | 2020-12-16 |
| 15 | 0 | 773 | 2016-04-19 | 2018-06-01 |
| 37 | 0 | 809 | 2016-10-17 | 2019-01-04 |
| 50 | 1 | 814 | 2017-04-03 | 2019-06-26 |
| 31 | 0 | 849 | 2016-08-31 | 2018-12-28 |
| 30 | 0 | 852 | 2016-08-27 | 2018-12-27 |
| 27 | 0 | 905 | 2016-07-05 | 2018-12-27 |
| 14 | 0 | 932 | 2016-04-11 | 2018-10-30 |
| 21 | 0 | 959 | 2016-05-20 | 2019-01-04 |
| 8 | 1 | 1020 | 2016-03-17 | 2019-01-01 |
| 11 | 0 | 1047 | 2016-03-31 | 2019-02-11 |
| 6 | 0 | 1053 | 2015-12-12 | 2018-10-30 |
| 67 | 0 | 1097 | 2017-07-28 | 2020-07-29 |
| 80 | 0 | 1187 | 2017-12-14 | 2021-03-15 |
| 43 | 0 | 1343 | 2016-11-24 | 2020-07-29 |
| 38 | 0 | 1381 | 2016-10-17 | 2020-07-29 |
| 100 | 0 | 1422 | 2018-07-24 | 2022-06-15 |
| 96 | 0 | 1433 | 2018-11-07 | 2022-10-10 |
| 98 | 0 | 1446 | 2018-10-25 | 2022-10-10 |
| 74 | 0 | 1450 | 2018-11-03 | 2022-10-23 |
| 97 | 0 | 1450 | 2018-10-21 | 2022-10-10 |
| 4 | 1 | 1458 | 2016-01-04 | 2020-01-01 |
| 90 | 0 | 1465 | 2018-05-28 | 2022-06-01 |
| 88 | 0 | 1481 | 2018-05-12 | 2022-06-01 |
| 93 | 0 | 1520 | 2018-04-17 | 2022-06-15 |
| 86 | 0 | 1641 | 2018-04-26 | 2022-10-23 |
| 75 | 0 | 1651 | 2017-11-23 | 2022-06-01 |
| 83 | 0 | 1684 | 2017-10-21 | 2022-06-01 |
| 84 | 0 | 1698 | 2018-02-28 | 2022-10-23 |
| 78 | 0 | 1746 | 2017-12-29 | 2022-10-10 |
| 73 | 0 | 1827 | 2017-10-09 | 2022-10-10 |
| 82 | 0 | 1832 | 2017-10-04 | 2022-10-10 |
| 72 | 0 | 1844 | 2017-10-05 | 2022-10-23 |
| 69 | 0 | 1859 | 2017-09-07 | 2022-10-10 |
| 68 | 0 | 1905 | 2017-08-05 | 2022-10-23 |
| 66 | 0 | 1984 | 2017-05-05 | 2022-10-10 |
| 55 | 0 | 2014 | 2017-04-05 | 2022-10-10 |
| 64 | 0 | 2015 | 2017-05-24 | 2022-11-29 |
| 57 | 0 | 2019 | 2017-03-31 | 2022-10-10 |
| 63 | 0 | 2024 | 2017-05-15 | 2022-11-29 |
| 36 | 0 | 2038 | 2016-10-01 | 2022-05-01 |
| 51 | 0 | 2043 | 2017-03-20 | 2022-10-23 |
| 35 | 0 | 2047 | 2016-09-22 | 2022-05-01 |
| 60 | 0 | 2050 | 2017-04-21 | 2022-12-01 |
| 52 | 0 | 2060 | 2017-03-03 | 2022-10-23 |
| 53 | 0 | 2063 | 2017-02-15 | 2022-10-10 |
| 17 | 1 | 2097 | 2016-05-06 | 2022-02-01 |
| 1 | 0 | 2118 | 2015-08-23 | 2021-06-10 |
| 44 | 0 | 2130 | 2016-12-10 | 2022-10-10 |
| 22 | 0 | 2151 | 2016-06-10 | 2022-05-01 |
| 41 | 0 | 2163 | 2016-11-07 | 2022-10-10 |
| 40 | 0 | 2178 | 2016-10-23 | 2022-10-10 |
| 18 | 1 | 2219 | 2016-05-04 | 2022-06-01 |
| 33 | 0 | 2223 | 2016-09-08 | 2022-10-10 |
| 32 | 0 | 2228 | 2016-09-03 | 2022-10-10 |
| 34 | 0 | 2230 | 2016-09-14 | 2022-10-23 |
| 26 | 0 | 2288 | 2016-07-05 | 2022-10-10 |
| 45 | 0 | 2331 | 2016-05-23 | 2022-10-10 |
| 20 | 0 | 2340 | 2016-05-14 | 2022-10-10 |
| 12 | 0 | 2383 | 2016-04-01 | 2022-10-10 |
| 13 | 0 | 2383 | 2016-04-01 | 2022-10-10 |
| 9 | 0 | 2395 | 2016-03-20 | 2022-10-10 |
| 16 | 0 | 2415 | 2016-04-19 | 2022-11-29 |
Models
Logistic regression model
Characteristic |
OR 1 |
95% CI 1 |
p-value |
|---|---|---|---|
| hr_proc_pred_peak_cpxe_1 | 0.89 | 0.79, 0.98 | 0.034 |
| lvedv_index_rest_ml_m2_cpxe_1 | 1.06 | 0.99, 1.13 | 0.091 |
| sex_hosp | |||
| 0 | — | — | |
| 1 | 0.84 | 0.12, 6.05 | 0.9 |
| age_mi_hosp | 0.99 | 0.91, 1.08 | 0.8 |
| physical_activity_before_mi_small_hosp | |||
| 0 | — | — | |
| 1 | 4.34 | 0.83, 24.4 | 0.081 |
| smoking_past_hosp | |||
| 0 | — | — | |
| 1 | 5.27 | 1.06, 27.8 | 0.042 |
| bisoprolol_equ_dose | 1.03 | 0.78, 1.34 | 0.8 |
| creatinine_discharge_hosp | 0.06 | 0.00, 17.2 | 0.4 |
| 1
OR = Odds Ratio, CI = Confidence Interval |
|||
COX regression model
Characteristic |
HR 1 |
95% CI 1 |
p-value |
|---|---|---|---|
| hr_proc_pred_peak_cpxe_1 | 0.87 | 0.80, 0.95 | 0.003 |
| lvedv_index_rest_ml_m2_cpxe_1 | 1.04 | 0.98, 1.09 | 0.2 |
| sex_hosp | |||
| 0 | — | — | |
| 1 | 1.28 | 0.24, 6.89 | 0.8 |
| age_mi_hosp | 0.98 | 0.91, 1.04 | 0.5 |
| physical_activity_before_mi_small_hosp | |||
| 0 | — | — | |
| 1 | 2.43 | 0.72, 8.22 | 0.2 |
| smoking_past_hosp | |||
| 0 | — | — | |
| 1 | 5.92 | 1.59, 22.0 | 0.008 |
| bisoprolol_equ_dose | 1.00 | 0.81, 1.22 | >0.9 |
| creatinine_discharge_hosp | 0.06 | 0.00, 9.53 | 0.3 |
| 1
HR = Hazard Ratio, CI = Confidence Interval |
|||
COX model parameters and VIF
Call:
coxph(formula = Surv(days_difference, outcome) ~ ., data = data_to_cox_regression_model)
coef exp(coef) se(coef) z
hr_proc_pred_peak_cpxe_1 -0.13682 0.87213 0.04603 -2.972
lvedv_index_rest_ml_m2_cpxe_1 0.03489 1.03550 0.02711 1.287
sex_hosp1 0.24940 1.28326 0.85713 0.291
age_mi_hosp -0.02464 0.97566 0.03352 -0.735
physical_activity_before_mi_small_hosp1 0.88852 2.43153 0.62172 1.429
smoking_past_hosp1 1.77812 5.91870 0.66995 2.654
bisoprolol_equ_dose -0.00377 0.99624 0.10402 -0.036
creatinine_discharge_hosp -2.80835 0.06030 2.58300 -1.087
p
hr_proc_pred_peak_cpxe_1 0.00296
lvedv_index_rest_ml_m2_cpxe_1 0.19814
sex_hosp1 0.77107
age_mi_hosp 0.46231
physical_activity_before_mi_small_hosp1 0.15296
smoking_past_hosp1 0.00795
bisoprolol_equ_dose 0.97109
creatinine_discharge_hosp 0.27693
Likelihood ratio test=29.39 on 8 df, p=0.0002707
n= 86, number of events= 15 hr_proc_pred_peak_cpxe_1 lvedv_index_rest_ml_m2_cpxe_1
1.311033 2.150919
sex_hosp age_mi_hosp
2.343571 1.659278
physical_activity_before_mi_small_hosp smoking_past_hosp
1.368142 1.415072
bisoprolol_equ_dose creatinine_discharge_hosp
1.165885 1.982311 Table
# A tibble: 5 × 4
# Groups: combined_end_point_card_neo_death [2]
combined_end_point_card_neo_death rer_maxload_group count percentage
<dbl> <chr> <int> <dbl>
1 0 high 60 84.5
2 0 low 5 7.04
3 0 med 6 8.45
4 1 high 13 86.7
5 1 med 2 13.3 
Characteristic |
N |
Overall, N = 65 1 |
0, N = 52 1 |
1, N = 13 1 |
p-value 2 |
|---|---|---|---|---|---|
| rehab_reh | 65 | 65 (100%) | 52 (100%) | 13 (100%) | |
| cr_k | 65 | 45 (69%) | 35 (67%) | 10 (77%) | 0.7 |
| cr_ik | 65 | 20 (31%) | 17 (33%) | 3 (23%) | 0.7 |
| cr | 65 | 65 (100%) | 52 (100%) | 13 (100%) | |
| karta_informacyjna_1_jest_0_brak | 65 | 54 (83%) | 44 (85%) | 10 (77%) | 0.7 |
| model_rehab_poczatkowy | 65 | 0.3 | |||
| A | 5 (7.7%) | 5 (9.6%) | 0 (0%) | ||
| B | 41 (63%) | 34 (65%) | 7 (54%) | ||
| C | 19 (29%) | 13 (25%) | 6 (46%) | ||
| model_rehab_koncowy | 65 | 0.6 | |||
| A | 15 (23%) | 13 (25%) | 2 (15%) | ||
| B | 44 (68%) | 35 (67%) | 9 (69%) | ||
| C | 6 (9.2%) | 4 (7.7%) | 2 (15%) | ||
| lliczba_treningow_wykonanych | 65 | 21.00 (21.00, 24.00) | 21.00 (21.00, 24.00) | 21.00 (21.00, 21.00) | 0.8 |
| training_sessions_planned | 65 | 21.00 (21.00, 24.00) | 21.00 (21.00, 24.00) | 21.00 (21.00, 21.00) | 0.5 |
| c_training_hr_limit_40_50_perc | 6 | 6 (100%) | 4 (100%) | 2 (100%) | |
| Unknown | 59 | 48 | 11 | ||
| b_training_hr_limit_50_60_perc | 44 | 44 (100%) | 35 (100%) | 9 (100%) | |
| Unknown | 21 | 17 | 4 | ||
| a_training_hr_limit_60_80_perc | 15 | 15 (100%) | 13 (100%) | 2 (100%) | |
| Unknown | 50 | 39 | 11 | ||
| 1
n (%); Median (IQR) |
|||||
| 2
Fisher’s exact test; Wilcoxon rank sum test |
|||||
Mean and SD for group with outcome
[1] 1.129333[1] 0.1157872Mean and SD for group without outcome
[1] 1.118732[1] 0.1079805Mean and SD for whole
[1] 1.120581[1] 0.1087507