From 0444c4ed9ddc0cbaf33b6355a84d808b30c15569 Mon Sep 17 00:00:00 2001
From: "Matthijs S. Berends" Note: values on this page will change with every website update since they are based on randomly created values and the page was written in R Markdown. However, the methodology remains unchanged. This page was generated on 10 May 2019. Note: values on this page will change with every website update since they are based on randomly created values and the page was written in R Markdown. However, the methodology remains unchanged. This page was generated on 12 May 2019. Now, let’s start the cleaning and the analysis! So, we can draw at least two conclusions immediately. From a data scientist perspective, the data looks clean: only values The data is already quite clean, but we still need to transform some variables. The So only 28.2% is suitable for resistance analysis! We can now filter on it with the So only 28.4% is suitable for resistance analysis! We can now filter on it with the For future use, the above two syntaxes can be shortened with the Only 1 isolates are marked as ‘first’ according to CLSI guideline. But when reviewing the antibiogram, it is obvious that some isolates are absolutely different strains and should be included too. This is why we weigh isolates, based on their antibiogram. The Only 2 isolates are marked as ‘first’ according to CLSI guideline. But when reviewing the antibiogram, it is obvious that some isolates are absolutely different strains and should be included too. This is why we weigh isolates, based on their antibiogram. The If a column exists with a name like ‘key(…)ab’ the Instead of 1, now 9 isolates are flagged. In total, 75.6% of all isolates are marked ‘first weighted’ - 47.4% more than when using the CLSI guideline. In real life, this novel algorithm will yield 5-10% more isolates than the classic CLSI guideline. Instead of 2, now 9 isolates are flagged. In total, 75.2% of all isolates are marked ‘first weighted’ - 46.8% more than when using the CLSI guideline. In real life, this novel algorithm will yield 5-10% more isolates than the classic CLSI guideline. As with So we end up with 15,129 isolates for analysis. So we end up with 15,036 isolates for analysis. We can remove unneeded columns: Or can be used like the Frequency table of Frequency table of Columns: 2 Shortest: 16How to conduct AMR analysis
Matthijs S. Berends
- 10 May 2019
+ 12 May 2019
AMR.Rmd
Introduction
@@ -217,21 +217,21 @@
-
2019-05-10
+2019-05-12
abcd
Escherichia coli
S
S
-
2019-05-10
+2019-05-12
abcd
Escherichia coli
S
R
-
2019-05-10
+2019-05-12
efgh
Escherichia coli
R
@@ -327,9 +327,31 @@
-
+2017-12-11
-C4
+2016-07-20
+N4
Hospital A
+Klebsiella pneumoniae
+S
+R
+R
+S
+M
+
+
+2013-12-24
+L1
+Hospital A
+Escherichia coli
+S
+S
+S
+S
+M
+
+
2010-04-21
+C10
+Hospital D
Escherichia coli
R
I
@@ -338,20 +360,9 @@
M
-
-2010-12-13
-K6
+2015-07-23
+A3
Hospital B
-Escherichia coli
-S
-I
-S
-S
-M
-
-
+2014-03-15
-J1
-Hospital C
Streptococcus pneumoniae
S
S
@@ -359,39 +370,28 @@
S
M
+
2011-10-17
+V7
+Hospital A
+Escherichia coli
+R
+R
+R
+S
+F
+
-
-2010-09-09
-T6
-Hospital C
+2014-09-20
+X4
+Hospital B
Staphylococcus aureus
S
S
-R
-R
-F
-
-
-2011-07-28
-P4
-Hospital A
-Escherichia coli
-S
-I
S
S
F
-
2010-01-15
-M8
-Hospital A
-Streptococcus pneumoniae
-I
-R
-R
-S
-M
-M
and F
. From a researcher perspective: there are slightly more men. Nothing we didn’t already know.bacteria
column now consists of text, and we want to add more variables based on microbial IDs later on. So, we will transform this column to valid IDs. The mutate()
function of the dplyr
package makes this really easy:data <- data %>%
@@ -442,14 +442,14 @@
#> Pasteurella multocida (no new changes)
#> Staphylococcus (no new changes)
#> Streptococcus groups A, B, C, G (no new changes)
-#> Streptococcus pneumoniae (1422 new changes)
+#> Streptococcus pneumoniae (1473 new changes)
#> Viridans group streptococci (no new changes)
#>
#> EUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes (v3.1, 2016)
-#> Table 01: Intrinsic resistance in Enterobacteriaceae (1271 new changes)
+#> Table 01: Intrinsic resistance in Enterobacteriaceae (1282 new changes)
#> Table 02: Intrinsic resistance in non-fermentative Gram-negative bacteria (no new changes)
#> Table 03: Intrinsic resistance in other Gram-negative bacteria (no new changes)
-#> Table 04: Intrinsic resistance in Gram-positive bacteria (2747 new changes)
+#> Table 04: Intrinsic resistance in Gram-positive bacteria (2691 new changes)
#> Table 08: Interpretive rules for B-lactam agents and Gram-positive cocci (no new changes)
#> Table 09: Interpretive rules for B-lactam agents and Gram-negative rods (no new changes)
#> Table 11: Interpretive rules for macrolides, lincosamides, and streptogramins (no new changes)
@@ -457,24 +457,24 @@
#> Table 13: Interpretive rules for quinolones (no new changes)
#>
#> Other rules
-#> Non-EUCAST: amoxicillin/clav acid = S where ampicillin = S (2255 new changes)
-#> Non-EUCAST: ampicillin = R where amoxicillin/clav acid = R (112 new changes)
+#> Non-EUCAST: amoxicillin/clav acid = S where ampicillin = S (2218 new changes)
+#> Non-EUCAST: ampicillin = R where amoxicillin/clav acid = R (124 new changes)
#> Non-EUCAST: piperacillin = R where piperacillin/tazobactam = R (no new changes)
#> Non-EUCAST: piperacillin/tazobactam = S where piperacillin = S (no new changes)
#> Non-EUCAST: trimethoprim = R where trimethoprim/sulfa = R (no new changes)
#> Non-EUCAST: trimethoprim/sulfa = S where trimethoprim = S (no new changes)
#>
#> --------------------------------------------------------------------------
-#> EUCAST rules affected 6,518 out of 20,000 rows, making a total of 7,807 edits
+#> EUCAST rules affected 6,442 out of 20,000 rows, making a total of 7,788 edits
#> => added 0 test results
#>
-#> => changed 7,807 test results
-#> - 104 test results changed from S to I
-#> - 4,681 test results changed from S to R
-#> - 1,080 test results changed from I to S
-#> - 336 test results changed from I to R
-#> - 1,588 test results changed from R to S
-#> - 18 test results changed from R to I
+#> => changed 7,788 test results
+#> - 105 test results changed from S to I
+#> - 4,678 test results changed from S to R
+#> - 1,081 test results changed from I to S
+#> - 315 test results changed from I to R
+#> - 1,587 test results changed from R to S
+#> - 22 test results changed from R to I
#> --------------------------------------------------------------------------
#>
#> Use verbose = TRUE to get a data.frame with all specified edits instead.
filter()
function, also from the dplyr
package:filter()
function, also from the dplyr
package:filter_first_isolate()
function:
1
-2010-01-22
-M1
+2010-01-10
+H7
B_ESCHR_COL
-S
-S
R
S
+S
+S
TRUE
2
-2010-03-11
-M1
+2010-01-23
+H7
B_ESCHR_COL
S
S
-R
+S
S
FALSE
3
-2010-03-17
-M1
+2010-05-15
+H7
B_ESCHR_COL
+S
+S
+S
R
-S
-S
-S
FALSE
4
-2010-04-28
-M1
+2010-08-16
+H7
B_ESCHR_COL
-R
S
-R
+S
+S
S
FALSE
5
-2010-05-26
-M1
+2010-09-26
+H7
B_ESCHR_COL
+S
+S
R
S
-S
-S
FALSE
6
-2010-06-03
-M1
+2010-11-01
+H7
B_ESCHR_COL
R
-R
+I
S
S
FALSE
7
-2010-07-03
-M1
+2010-12-11
+H7
B_ESCHR_COL
S
S
@@ -606,32 +606,32 @@
8
-2010-07-07
-M1
+2011-02-11
+H7
B_ESCHR_COL
-R
-R
S
S
-FALSE
+R
+S
+TRUE
9
-2010-07-30
-M1
+2011-03-16
+H7
B_ESCHR_COL
+I
S
-S
-S
+R
S
FALSE
-10
-2010-10-12
-M1
+2011-04-14
+H7
B_ESCHR_COL
-R
+S
S
S
S
@@ -639,7 +639,7 @@
key_antibiotics()
function adds a vector with 18 key antibiotics: 6 broad spectrum ones, 6 small spectrum for Gram negatives and 6 small spectrum for Gram positives. These can be defined by the user.key_antibiotics()
function adds a vector with 18 key antibiotics: 6 broad spectrum ones, 6 small spectrum for Gram negatives and 6 small spectrum for Gram positives. These can be defined by the user.first_isolate()
function will automatically use it and determine the first weighted isolates. Mind the NOTEs in below output:data <- data %>%
mutate(keyab = key_antibiotics(.)) %>%
@@ -650,7 +650,7 @@
#> NOTE: Using column `patient_id` as input for `col_patient_id`.
#> NOTE: Using column `keyab` as input for `col_keyantibiotics`. Use col_keyantibiotics = FALSE to prevent this.
#> [Criterion] Inclusion based on key antibiotics, ignoring I.
-#> => Found 15,129 first weighted isolates (75.6% of total)
-
isolate
@@ -667,71 +667,71 @@
1
-2010-01-22
-M1
+2010-01-10
+H7
B_ESCHR_COL
-S
-S
R
S
+S
+S
TRUE
TRUE
-2
-2010-03-11
-M1
+2010-01-23
+H7
B_ESCHR_COL
S
S
-R
-S
-FALSE
-FALSE
-
-
-3
-2010-03-17
-M1
-B_ESCHR_COL
-R
-S
S
S
FALSE
TRUE
- 4
-2010-04-28
-M1
+
+
+3
+2010-05-15
+H7
B_ESCHR_COL
-R
+S
+S
S
R
+FALSE
+TRUE
+
+
4
+2010-08-16
+H7
+B_ESCHR_COL
+S
+S
+S
S
FALSE
TRUE
5
-2010-05-26
-M1
+2010-09-26
+H7
B_ESCHR_COL
+S
+S
R
S
-S
-S
FALSE
TRUE
6
-2010-06-03
-M1
+2010-11-01
+H7
B_ESCHR_COL
R
-R
+I
S
S
FALSE
@@ -739,8 +739,8 @@
7
-2010-07-03
-M1
+2010-12-11
+H7
B_ESCHR_COL
S
S
@@ -751,34 +751,34 @@
8
-2010-07-07
-M1
+2011-02-11
+H7
B_ESCHR_COL
-R
-R
S
S
-FALSE
+R
+S
+TRUE
TRUE
9
-2010-07-30
-M1
+2011-03-16
+H7
B_ESCHR_COL
+I
S
-S
-S
+R
S
FALSE
-TRUE
+FALSE
10
-2010-10-12
-M1
+2011-04-14
+H7
B_ESCHR_COL
-R
+S
S
S
S
@@ -787,11 +787,11 @@
filter_first_isolate()
, there’s a shortcut for this new algorithm too:
+1
-2017-12-11
-C4
+2016-07-20
+N4
Hospital A
+B_KLBSL_PNE
+R
+R
+R
+S
+M
+Gram negative
+Klebsiella
+pneumoniae
+TRUE
+
+
-3
+2010-04-21
+C10
+Hospital D
B_ESCHR_COL
R
I
@@ -831,11 +847,11 @@
coli
TRUE
- 3
-2014-03-15
-J1
-Hospital C
+
+
+4
+2015-07-23
+A3
+Hospital B
B_STRPT_PNE
S
S
@@ -847,16 +863,32 @@
pneumoniae
TRUE
+
5
+2011-10-17
+V7
+Hospital A
+B_ESCHR_COL
+R
+R
+R
+S
+F
+Gram negative
+Escherichia
+coli
+TRUE
+
-
4
-2010-09-09
-T6
-Hospital C
+6
+2014-09-20
+X4
+Hospital B
B_STPHY_AUR
S
S
-R
-R
+S
+S
F
Gram positive
Staphylococcus
@@ -864,46 +896,14 @@
TRUE
-
-6
-2010-01-15
-M8
-Hospital A
-B_STRPT_PNE
-I
-I
-R
-R
-M
-Gram positive
-Streptococcus
-pneumoniae
-TRUE
-
-7
-2015-04-19
-E5
-Hospital C
-B_KLBSL_PNE
-R
-S
-S
-S
-M
-Gram negative
-Klebsiella
-pneumoniae
-TRUE
-
- 8
-2016-03-04
-R4
-Hospital A
+2015-09-29
+S7
+Hospital D
B_ESCHR_COL
S
S
-R
+S
S
F
Gram negative
@@ -928,9 +928,9 @@
dplyr
way, which is easier readable:genus
and species
from a data.frame
(15,129 x 13)genus
and species
from a data.frame
(15,036 x 13)
-Length: 15,129 (of which NA: 0 = 0.00%)
+Length: 15,036 (of which NA: 0 = 0.00%)
Unique: 4
Longest: 24
1
Escherichia coli
-7,579
-50.1%
-7,579
-50.1%
+7,441
+49.5%
+7,441
+49.5%
2
Staphylococcus aureus
-3,675
-24.3%
-11,254
-74.4%
+3,779
+25.1%
+11,220
+74.6%
3
Streptococcus pneumoniae
-2,319
-15.3%
-13,573
-89.7%
+2,278
+15.2%
+13,498
+89.8%
@@ -984,7 +984,7 @@ Longest: 244
Klebsiella pneumoniae
-1,556
-10.3%
-15,129
+1,538
+10.2%
+15,036
100.0%
The functions portion_S()
, portion_SI()
, portion_I()
, portion_IR()
and portion_R()
can be used to determine the portion of a specific antimicrobial outcome. They can be used on their own:
Or can be used in conjuction with group_by()
and summarise()
, both from the dplyr
package:
data_1st %>%
group_by(hospital) %>%
@@ -997,19 +997,19 @@ Longest: 24
Hospital A
-0.4884229
+0.5024412
Hospital B
-0.4994329
+0.5015980
Hospital C
-0.4838561
+0.4683146
Hospital D
-0.4959586
+0.4912927
@@ -1027,23 +1027,23 @@ Longest: 24
Hospital A
-0.4884229
-4578
+0.5024412
+4506
Hospital B
-0.4994329
-5290
+0.5015980
+5319
Hospital C
-0.4838561
-2168
+0.4683146
+2225
Hospital D
-0.4959586
-3093
+0.4912927
+2986
@@ -1063,27 +1063,27 @@ Longest: 24
Escherichia
-0.8857369
-0.8953688
-0.9886529
+0.8770327
+0.8982664
+0.9908614
Klebsiella
-0.7345758
-0.8901028
-0.9678663
+0.7418726
+0.9037711
+0.9817945
Staphylococcus
-0.8775510
-0.9235374
-0.9874830
+0.8840963
+0.9237894
+0.9886213
Streptococcus
-0.5804226
+0.5697981
0.0000000
-0.5804226
+0.5697981
diff --git a/docs/articles/AMR_files/figure-html/plot 1-1.png b/docs/articles/AMR_files/figure-html/plot 1-1.png
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