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%) |
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_risk_pci_nstemi_stemi | 3 (20%) |
indication_for_implant_acute_on_chronic_exacerbation | 11 (73%) |
indication_for_implant_post_cardiotomy_syndrome | 1 (6.7%) |
cannulation | |
central cannulation | 2 (13%) |
right axillary artery graft | 12 (80%) |
right subclavicular impella | 1 (6.7%) |
duration_of_implant_equal_to_or_less_than14_days | 7 (47%) |
duration_of_implant_equal_to_or_less_than_28_days | 5 (33%) |
duration_of_implant_42_days | 1 (6.7%) |
duration_of_implant_56_days | 1 (6.7%) |
duration_of_implant_70_days | 1 (6.7%) |
duration_of_implant_days | 19 (13, 25) |
complication_hemolysis | 4 (27%) |
complication_rv_failure | 2 (13%) |
complication_stroke | 0 (0%) |
complication_impella_motor_failure | 0 (0%) |
complication_pump_thrombosis | 0 (0%) |
complication_valve_injury | 0 (0%) |
complication_limb_ischemia | 0 (0%) |
complication_insertion_site_hematoma | 3 (20%) |
complication_renal_injury_failure | 2 (13%) |
complication_liver_injury_failure | 0 (0%) |
outcome_transplant | 6 (40%) |
outcome_lvad_heartmate_3 | 3 (20%) |
outcome_survival_for_the_first_30_days | 11 (73%) |
outcome_survival_at_30_and_90_days | 9 (60%) |
outcome_death | 4 (27%) |
1 Mean (SD); n (%); Median (IQR) |
Age is relativele normal distribution so we can summarize it as mean +/- standard deviation (in bracket)
hist(impella_raw_data$age)
Duration is very skewed distribution so we have to summarize it as median and 25th and 75th percentile
hist(impella_raw_data$duration_of_implant_days, breaks = 10)