Publications by MT

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14.04.2024

Table 1. Patient Characteristics Variable N Overall, N = 5631 ABNORMAL FLOW RESERVE, N = 2261 NORMAL FLOW RESERVE, N = 3371 p-value2 number_of_symptoms 563 0.3     0 473 (84%) 194 (86%) 279 (83%)     1 63 (11%) 19 (8.4%) 44 (13%)     2 22 (3.9%) 10 (4.4%) 12 (3.6%)     3 5 (0.9%) 3 (1.3%) 2 (0.6%) any_symptoms 563 90 (16%...

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ASNC PYP abstract 2024 WITHOUT HEREDITARY

13.04.2024

Table of contents General information: Data on regions Region 3 (all segments) Region 2 Region 1 Characterisics of our group Analysis of subgroups Gender Visual score ATTR Type PYP amyloid ASNC abstract WITHOUT HEREDITARY TTR Author MT Published April 13, 2024 General information: Basic information Metadata and analysis of the file Apri...

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ASNC PYP abstract 2024

13.04.2024

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ASNC 2024 PYP patterns abstract

13.04.2024

Table of contents General information: Data on regions Region 3 (all segments) Region 2 Region 1 Characterisics of our group PYP amyloid ASNC abstract Author MT Published April 13, 2024 General information: Basic information Metadata and analysis of the file April 12 557.xlsx Each row represents one patient. Date of data collection: 20...

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09.04.2024

Table 1. Patient Characteristics Variable N Overall, N = 1,4331 NO, N = 5911 YES, N = 8421 p-value2 number_of_symptoms 1,433 <0.001     0 591 (41%) 591 (100%) 0 (0%)     1 503 (35%) 0 (0%) 503 (60%)     2 241 (17%) 0 (0%) 241 (29%)     3 74 (5.2%) 0 (0%) 74 (8.8%)     4 18 (1.3%) 0 (0%) 18 (2.1%)     5 5 (0.3%)...

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09.04.2024

Table 1. Patient Characteristics Variable N Overall, N = 1,4331 NO, N = 5911 YES, N = 8421 p-value2 number_of_symptoms 1,433 <0.001     0 591 (41%) 591 (100%) 0 (0%)     1 503 (35%) 0 (0%) 503 (60%)     2 241 (17%) 0 (0%) 241 (29%)     3 74 (5.2%) 0 (0%) 74 (8.8%)     4 18 (1.3%) 0 (0%) 18 (2.1%)     5 5 (0.3%)...

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MT PICC PROLINE QA QI

11.03.2024

PICC PROLINE line QA/QI analysis Author MT Published March 10, 2024 Number of observations: 237 Number of variables: 38 I did not exclude patient that had lines still inserted at the follow up Dataset divided by Infection VS no infection Variable N Overall, N = 2371 NO LINE INFECTION, N = 1961 YES LINE INFECTION, N = 411 p-value2 gende...

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07.03.2024

PICC PROLINE line QA/QI analysis Author MT Published March 6, 2024 Number of observations: 237 Number of variables: 38 I did not exclude patient that had lines still inserted at the follow up Dataset divided by Infection VS no infection Variable N Overall, N = 2371 picc_line, N = 811 proline, N = 1561 p-value2 gender 237 0.6     F...

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07.03.2024

Table 1. Patient Characteristics Variable N Overall, N = 2371 NO LINE INFECTION, N = 1961 YES LINE INFECTION, N = 411 p-value2 gender 237 0.4     Female 76 (32%) 65 (33%) 11 (27%)     Male 161 (68%) 131 (67%) 30 (73%) mr 237 2,000,119,114 (1,001,091,962, 2,002,149,521) 2,000,207,017 (1,000,989,704, 2,002,102,756) 2,000,074,301 (1,001...

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final

25.02.2024

Follow up manuscript Author KS, MT Published February 25, 2024 function(sheet_number_to_open) { df <- read_xlsx(here("raw_data", filename_to_load), sheet=sheet_number_to_open) %>% clean_names() sheet_name_to_addend <- sheet_name_vector[sheet_number_to_open] names(df) <- paste0(names(df), "_", sheet_name_to_addend) return(df) } <bytecod...

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