Publications by MT
low RER and low EF filtered out
Follow up manuscript Author KS, MT Published February 18, 2024 Metadata and analysis of the file: CPXE_26.2.23.follow-up stary + nowy.xlsx Outcomes are derived from file: 17.2.24.CPXE_3_26_follow_up dla MT_12.03_DATA_ANKIETY.xlsx Each row represents one patient. Number of observations: 100 Number of variables: 661 RER threshold: 1.05 R...
862 sym 1 tbl
Nobody removed
Follow up manuscript Author KS, MT Published February 18, 2024 Metadata and analysis of the file: CPXE_26.2.23.follow-up stary + nowy.xlsx Outcomes are derived from file: 17.2.24.CPXE_3_26_follow_up dla MT_12.03_DATA_ANKIETY.xlsx Each row represents one patient. Number of observations: 100 Number of variables: 661 RER threshold: 0 RER ...
858 sym 1 tbl
Removed low EF
Follow up manuscript Author KS, MT Published February 18, 2024 Metadata and analysis of the file: CPXE_26.2.23.follow-up stary + nowy.xlsx Outcomes are derived from file: 17.2.24.CPXE_3_26_follow_up dla MT_12.03_DATA_ANKIETY.xlsx Each row represents one patient. Number of observations: 100 Number of variables: 661 RER threshold: 0 RER ...
859 sym 1 tbl
Document
Follow up manuscript Author KS, MT Published February 18, 2024 Metadata and analysis of the file: CPXE_26.2.23.follow-up stary + nowy.xlsx Outcomes are derived from file: 17.2.24.CPXE_3_26_follow_up dla MT_12.03_DATA_ANKIETY.xlsx Each row represents one patient. Number of observations: 101 Number of variables: 661 RER threshold: 1.05 R...
850 sym 1 tbl
Removed low EF and low RER
Follow up manuscript Author KS, MT Published February 18, 2024 Metadata and analysis of the file: CPXE_26.2.23.follow-up stary + nowy.xlsx Outcomes are derived from file: 17.2.24.CPXE_3_26_follow_up dla MT_12.03_DATA_ANKIETY.xlsx Each row represents one patient. Number of observations: 101 Number of variables: 661 RER threshold: 1.05 R...
850 sym 1 tbl
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term estimate std.error statistic p.value end_point1 3.226844e+00 8.537961e-01 3.779408e+00 0.0001572016 physical_activity_before_mi_small1 2.028148e+00 7.037908e-01 2.881749e+00 0.0039547505 aktywnosc_fizyczna_przed_mi_mala_7 2.028148e+00 7.037908e-01 2.881749e+00 0.0039547505 aktywnosc_fizyczna_przed_mi_mala_34 2.028148e+00 7.037908e-01 2.881749...
3 sym 1 tbl
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Characteristic N 0, N = 661 1, N = 111 p-value2 id 77 55 (31, 79) 17 (8, 47) 0.022 sex 77 0.7 0 23 (35%) 3 (27%) 1 43 (65%) 8 (73%) age_mi 77 60 (53, 67) 53 (43, 61) 0.039 smoking_now 77 0.3 0 36 (55%) 8 (73%) 1 30 (45%) 3 (27%) smoking_past 77 0.031 0 60 (91%) 7 (64%) 1 6 (9.1%) 4 (36%...
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Publish Document
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_b...
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Publish Document
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_b...
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Document
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_b...
421 sym 9 img 3 tbl