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knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(chlorpromazineR)
For a walkthrough on this package's functions and how to use them, see the walkthrough vignette. The purpose of this vignette is to exhibit the antipsychotics included by the conversion keys and their dose equivalents.
For the reference, see help(gardner2010)
.
data_gardner_oral_names <- c("Amisulpride", "Aripiprazole", "Benperidol", "Chlorpromazine", "Clopenthixol", "Clorprothixene", "Clotiapine", "Clozapine", "Droperidol", "Flupenthixol", "Fluphenazine", "Haloperidol", "Levomepromazine", "Loxapine", "Mesoridazine", "Methotrimeprazine", "Molindone", "Olanzapine", "Oxypertine", "Paliperidone", "Pericyazine", "Perphenazine", "Pimozide", "Prochlorperazine", "Quetiapine", "Remoxipride", "Risperidone", "Sertindole", "Sulpiride", "Thioridazine", "Thiothixene", "Trifluoperazine", "Trifluperidol", "Triflupromazine", "Ziprasidone", "Zotepine", "Zuclopenthixol") data_gardner_oral_median <- c(700, 30, 5, 600, 60, 500, 100, 400, 10, 10, 12, 10, 400, 60, 300, 300, 100, 20, 240, 9, 50, 30, 8, 88, 750, 212, 6, 20, 800, 500, 30, 20, 2, 100, 160, 300, 50) data_gardner_oral <- data.frame(ap = data_gardner_oral_names, dose = data_gardner_oral_median)
to_ap(data_gardner_oral, convert_to_ap = "olanzapine", ap_label = "ap", dose_label = "dose", route = "oral")
data_gardner_oral_median_cpz100 <- data_gardner_oral_median / 6 data_gardner_oral_cpz100 <- data.frame(ap = data_gardner_oral_names, dose=data_gardner_oral_median_cpz100) to_ap(data_gardner_oral_cpz100, convert_to_ap = "olanzapine", ap_label = "ap", dose_label = "dose", route = "oral")
data_gardner_sai_names <- c("Chlorpromazine HCl", "Clotiapine injectable", "Fluphenazine HCl", "Haloperidol lactate", "Loxapine HCl", "Mesoridazine besylate", "Olanzapine tartrate", "Perphenazine USP", "Prochlorperazine mesylate", "Promazine HCl", "Trifluoperazine HCl", "Triflupromazine HCl", "Ziprasidone mesylate", "Zuclopenthixol acetate") data_gardner_sai_median <- c(100, 40, 5, 5, 25, 100, 10, 10, 22, 100, 5, 60, 20, 50) data_gardner_sai <- data.frame(ap = data_gardner_sai_names, dose = data_gardner_sai_median) to_cpz(data_gardner_sai, key=gardner2010_withsai, ap_label = "ap", dose_label = "dose", route = "sai")
to_ap(data_gardner_sai, key=gardner2010_withsai, convert_to_ap = "haloperidol lactate", ap_label = "ap", dose_label = "dose", route = "sai", convert_to_route = "sai")
data_gardner_lai_names <- c("Clopenthixol decanoate", "Flupenthixol decanoate", "Fluphenazine decanoate", "Fluphenazine enanthate", "Fluspirilene", "Haloperidol decanoate", "Perphenazine enanthate", "Pipotiazine palmitate", "Risperidone microspheres", "Zuclopenthixol decanoate") data_gardner_lai_median <- c(300, 40, 25, 25, 6, 150, 100, 100, 50, 200) data_gardner_lai_q <- c(14, 14, 14, 14, 7, 28, 14, 28, 14, 14) data_gardner_lai <- data.frame(ap = data_gardner_lai_names, dose = data_gardner_lai_median, q = data_gardner_lai_q) to_cpz(data_gardner_lai, key=gardner2010, ap_label = "ap", dose_label = "dose", route = "lai", q_label = "q")
For the reference, see help(davis1974)
.
data_davis_names <- c("Chlorpromazine", "Triflupromazine", "Thioridazine", "Prochlorperazine", "Perphenazine", "Fluphenazine", "Trifluoperazine", "Acetophenazine", "Carphenazine", "Butaperazine", "Mesoridazine", "Piperacetazine", "Haloperidol", "Chlorprothixene", "Thiothixene") data_davis_doses <- c(100, 28.4, 95.3, 14.3, 8.9, 1.2, 2.8, 23.5, 24.3, 8.9, 55.3, 10.5, 1.6, 43.9, 5.2) data_davis_oral <- data.frame(ap = data_davis_names, dose = data_davis_doses)
to_cpz(data_davis_oral, ap_label = "ap", dose_label = "dose", route = "oral", key=davis1974)
The Davis ket converts parenteral (SAI) to oral chlorpromazine equivalents on the basis of the statement in the text that oral is assumed to be 3x the potency of oral.
to_cpz(data_davis_oral, ap_label = "ap", dose_label = "dose", route = "sai", key=davis1974)
For the reference, see help(leucht2016)
.
leucht_names <- c("Acepromazine", "Acetophenazine", "Amisulpride", "Aripiprazole", "Asenapine", "Benperidol", "Bromperidol", "Butaperazine", "Cariprazine", "Chlorproethazine", "Chlorpromazine", "Chlorprothixene", "Clopenthixol", "Clotiapine", "Clozapine", "Cyamemazine", "Dixyrazine", "Droperidol", "Fluanisone", "Flupentixol", "Fluphenazine", "Fluspirilene", "Haloperidol", "Iloperidone", "Levomepromazine", "Levosulpiride", "Loxapine", "Lurasidone", "Melperone", "Mesoridazine", "Molindone", "Moperone", "Mosapramine", "Olanzapine", "Oxypertine", "Paliperidone", "Penfluridol", "Perazine", "Periciazine", "Perphenazine", "Pimozide", "Pipamperone", "Pipotiazine", "Prochlorperazine", "Promazine", "Prothipendyl", "Quetiapine", "Remoxipride", "Risperidone", "Sertindole", "Sulpiride", "Sultopride", "Thiopropazate", "Thioproperazine", "Thioridazine", "Tiapride", "Tiotixene", "Trifluoperazine", "Trifluperidol", "Triflupromazine", "Veralipride", "Ziprasidone", "Zotepine", "Zuclopenthixol") leucht_DDD_oral <- c(100, 50, 400, 15, 20, 1.5, 10, 10, NA, NA, 300, 300, 100, 80, 300, NA, 50, NA, NA, 6, 10, NA, 8, NA, 300, 400, 100, 60, 300, 200, 50, 20, NA, 10, 120, 6, 6, 100, 50, 30, 4, 200, 10, 100, 300, 240, 400, 300, 5, 16, 800, 1200, 60, 75, 300, 400, 30, 20, 2, 100, NA, 80, 200, 30) leucht_DDD_sai <- c(50, NA, NA, 15, NA, NA, 10, NA, NA, NA, 100, 50, 100, 80, 300, NA, 30, 2.5, NA, NA, NA, NA, 8, NA, 100, NA, NA, NA, 300, 200, NA, 20, NA, 10, NA, NA, NA, 100, 20, 10, NA, NA, NA, 50, 100, 240, NA, 300, NA, NA, 800, NA, NA, 20, NA, 400, NA, 8, NA, 100, NA, 40, NA, 30) leucht_DDD_lai <- c(NA, NA, NA, NA, NA, NA, 3.3, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 4, 1, 0.7, 3.3, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 10.0, NA, 2.5, NA, NA, NA, 7.0, NA, NA, 5, NA, NA, NA, NA, NA, 2.7, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 15) data_leucht_DDD_oral <- data.frame(ap = leucht_names, dose = leucht_DDD_oral) data_leucht_DDD_sai <- data.frame(ap = leucht_names, dose = leucht_DDD_sai) # pretend that all are given q 14 days data_leucht_DDD_lai <- data.frame(ap = leucht_names, dose = (leucht_DDD_lai*14), q = rep(14, 64)) data_leucht_DDD_oral <- data_leucht_DDD_oral[!is.na(data_leucht_DDD_oral$dose),] data_leucht_DDD_sai <- data_leucht_DDD_sai[!is.na(data_leucht_DDD_sai$dose),] data_leucht_DDD_lai <- data_leucht_DDD_lai[!is.na(data_leucht_DDD_lai$dose),] to_ap(data_leucht_DDD_oral, ap_label = "ap", dose_label = "dose", route = "oral", key=leucht2016, convert_to_ap = "olanzapine") to_ap(data_leucht_DDD_sai, ap_label = "ap", dose_label = "dose", route = "sai", key=leucht2016, convert_to_ap = "olanzapine", convert_to_route = "sai") to_ap(data_leucht_DDD_lai, ap_label = "ap", dose_label = "dose", route = "lai", key=leucht2016, convert_to_ap = "olanzapine", q = "q")
For the reference, see help(woods2003)
.
woods_names <- c("haloperidol", "risperidone", "olanzapine", "quetiapine", "ziprasidone", "aripiprazole") woods_doses <- c(2, 2, 5, 75, 60, 7.5) woods_oral <- data.frame(ap = woods_names, dose = woods_doses) to_ap(woods_oral, route="oral", ap_label="ap", dose="dose", key=woods2003, convert_to_ap = "olanzapine")
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