Publications by MT
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Intro Please have a look at the table, this can be scaffolding of our abstract. Interpreting spatial CMR data is much more difficult I will be working on it in the comming days. Please reach out to me with any questions or analysis suggestions. Table Characteristic N Overall, N = 361 no TTN, N = 181 TTN, N = 181 p-value2 demo_age 36 57 (46, 62) ...
407 sym 1 tbl
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ALL AMYLOID PATIENTS database_amyloid %>% select(-study_id, -attr, -al, -ef_equal_to_and_40, -ef_more_than_40, -pts_on_farxiga, jardiance) %>% tbl_summary( # statistic = list( statistic = list( age ~ "{mean} ({sd})", gfr ~ "{mean} ({sd})", duration_of_sglt2i_months ~ "{mean} ({sd})" ...
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Characteristic N = 151 age 58 (12) gender female 3 (20%) male 12 (80%) co_morbidity_dm 4 (27%) co_morbidity_htn 12 (80%) co_morbidity_pad 1 (6.7%) intermacs 1 6 (40%) 2 9 (60%) preimplant_support_inotropes 12 (80%) pre_implant_support_iabp 8 (53%) preimplant_supoort_va_ecmo 3 (20%) indication_for_implant_acs_high_...
3 sym 1 tbl
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Summary stats impella_raw_data %>% select(-id) %>% tbl_summary( # statistic = list( # all_continuous() ~ "{mean} ({sd})") statistic = list(age ~ "{mean} ({sd})") ) Characteristic N = 151 age 58 (12) gender female 3 (20%) male 12 (80%) co_morbidity_dm 4 (27%) co_morbidity_htn 12 (80%) co_morbidity_pad 1 (6.7%) i...
263 sym 2 img 1 tbl
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Characteristic N = 151 age 58 (12) gender female 3 (20%) male 12 (80%) co_morbidity_dm 4 (27%) co_morbidity_htn 12 (80%) co_morbidity_pad 1 (6.7%) intermacs 1 6 (40%) 2 9 (60%) preimplant_support_inotropes 12 (80%) pre_implant_support_iabp 8 (53%) preimplant_supoort_va_ecmo 3 (20%) indication_for_implant_acs_high_...
3 sym 1 tbl
sglt2
Main stuff data_amyloid %>% select (demographics_age, x3gender, amyloidosis_na, # duration_of_sglt2i_use_na, time_therapy, gdmt_matt, simple_cr, simple_uti, simple_depletion) %>% tbl_summary( statistic = list( all_continuous() ~ "{mean} ({sd})") ) Characteristic N = 561 demographics_age 80 (8) x3gender ...
107 sym 2 tbl
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var t cors miss_percent measured_perimeter 679.7755554 0.992716074 10.19130435 mean_diameter 325.3347098 0.969212873 9.00000000 calc_perimeter 324.9022906 0.969272619 9.27826087 major_aa_diameter 194.7562352 0.920537581 9.32173913 minor_aa_diameter 193.2378733 0.919462618 9.34782609 sov 88.5970595 0.736815249 11.86086957 sex 67.1942042 0.6308255...
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OLT 10/21/22
Variable parameters: CS defined as any narrowing of ≥ 50 % Remove duplicates (for patients with 2 transplants, second transplant data is removed): TRUE Remove patients younger than 18 years old: TRUE File imported: CAD Liver Txp Version 6.9.21.xlsx MI spreadsheet file name: 8.8.21.MI separate file_RAW.csv Definition of Death or MACE: Death o...
1748 sym 18 tbl
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Table 1 Baseline characteristics of groups Characteristic Overall, N = 8371 CS, N = 6061 NCS, N = 2311 p-value2 surgery_date 2018-01-29 to 2023-01-14 2018-01-29 to 2023-01-14 2019-03-19 to 2023-01-03 0.3 afib_type 0.044 Paroxysmal atrial fibrillation 439 (52%) 328 (54%) 111 (48%) Unspecified atrial fibrillation 376 (45%) 267 (...
196 sym 3 tbl
8:17 PM document
Table 1 Baseline characteristics of groups Characteristic Overall, N = 8371 Cardiac surgery, N = 6061 NOT Cardiac surgery, N = 2311 p-value2 surgery_date 2018-01-29 to 2023-01-14 2018-01-29 to 2023-01-14 2019-03-19 to 2023-01-03 0.3 afib_type 0.044 Paroxysmal atrial fibrillation 439 (52%) 328 (54%) 111 (48%) Unspecified atrial...
347 sym 5 tbl