Prediction Formulas for Individual Opioid Analgesic Requirements Based on Genetic Polymorphism Analyses
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{"title"=>"Prediction formulas for individual opioid analgesic requirements based on genetic polymorphism analyses", "type"=>"journal", "authors"=>[{"first_name"=>"Kaori", "last_name"=>"Yoshida", "scopus_author_id"=>"55725204000"}, {"first_name"=>"Daisuke", "last_name"=>"Nishizawa", "scopus_author_id"=>"12774991100"}, {"first_name"=>"Takashi", "last_name"=>"Ichinomiya", "scopus_author_id"=>"6603659778"}, {"first_name"=>"Tatsuya", "last_name"=>"Ichinohe", "scopus_author_id"=>"7007074108"}, {"first_name"=>"Masakazu", "last_name"=>"Hayashida", "scopus_author_id"=>"7103406879"}, {"first_name"=>"Ken Ichi", "last_name"=>"Fukuda", "scopus_author_id"=>"9838762300"}, {"first_name"=>"Kazutaka", "last_name"=>"Ikeda", "scopus_author_id"=>"7404891407"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"601683649", "doi"=>"10.1371/journal.pone.0116885", "isbn"=>"1932-6203", "pmid"=>"25615449", "issn"=>"19326203", "scopus"=>"2-s2.0-84921722623", "sgr"=>"84921722623"}, "id"=>"5060e2bb-4a51-3ffb-8b19-c25ae738aaa1", "abstract"=>"BACKGROUND: The analgesic efficacy of opioids is well known to vary widely among individuals, and various factors related to individual differences in opioid sensitivity have been identified. However, a prediction model to calculate appropriate opioid analgesic requirements has not yet been established. The present study sought to construct prediction formulas for individual opioid analgesic requirements based on genetic polymorphisms and clinical data from patients who underwent cosmetic orthognathic surgery and validate the utility of the prediction formulas in patients who underwent major open abdominal surgery. METHODS: To construct the prediction formulas, we performed multiple linear regression analyses using data from subjects who underwent cosmetic orthognathic surgery. The dependent variable was 24-h postoperative or perioperative fentanyl use, and the independent variables were age, gender, height, weight, pain perception latencies (PPL), and genotype data of five single-nucleotide polymorphisms (SNPs). To examine the utility of the prediction formulas, we performed simple linear regression analyses using subjects who underwent major open abdominal surgery. Actual 24-h postoperative or perioperative analgesic use and the predicted values that were calculated using the multiple regression equations were incorporated as dependent and independent variables, respectively. RESULTS: Multiple linear regression analyses showed that the four SNPs, PPL, and weight were retained as independent predictors of 24-h postoperative fentanyl use (R(2) = 0.145, P = 5.66 x 10(-)(1)(0)) and the two SNPs and weight were retained as independent predictors of perioperative fentanyl use (R(2) = 0.185, P = 1.99 x 10(-)(1)(5)). Simple linear regression analyses showed that the predicted values were retained as an independent predictor of actual 24-h postoperative analgesic use (R(2) = 0.033, P = 0.030) and perioperative analgesic use (R(2) = 0.100, P = 1.09 x 10(-)(4)), respectively. CONCLUSIONS: We constructed prediction formulas, and the possible utility of these prediction formulas was found in another type of surgery.", "link"=>"http://www.mendeley.com/research/prediction-formulas-individual-opioid-analgesic-requirements-based-genetic-polymorphism-analyses", "reader_count"=>14, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>3, "Librarian"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>1, "Student > Master"=>1, "Other"=>1, "Student > Doctoral Student"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>3, "Librarian"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>1, "Student > Master"=>1, "Other"=>1, "Student > Doctoral Student"=>1}, "reader_count_by_subject_area"=>{"Biochemistry, Genetics and Molecular Biology"=>2, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>3, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Physics and Astronomy"=>2, "Psychology"=>1, "Computer Science"=>4}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>3}, "Physics and Astronomy"=>{"Physics and Astronomy"=>2}, "Psychology"=>{"Psychology"=>1}, "Computer Science"=>{"Computer Science"=>4}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "reader_count_by_country"=>{"Japan"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1871425"], "description"=>"<p>The data are expressed as numbers, mean ± SD (range), or median [interquartile range].</p><p>PPL, pain perception latency.</p><p>Demographic and clinical data of the subjects who underwent cosmetic orthognathic surgery.</p>", "links"=>[], "tags"=>["pain perception latencies", "snp", "opioid", "Individual Opioid Analgesic Requirements", "r 2", "regression analyses", "postoperative", "predictor", "utility", "orthognathic surgery", "perioperative fentanyl use", "prediction formulas", "ppl", "data", "Genetic Polymorphism Analyses BackgroundThe"], "article_id"=>1293755, "categories"=>["Biological Sciences"], "users"=>["Kaori Yoshida", "Daisuke Nishizawa", "Takashi Ichinomiya", "Tatsuya Ichinohe", "Masakazu Hayashida", "Ken-ichi Fukuda", "Kazutaka Ikeda"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116885.t001", "stats"=>{"downloads"=>5, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographic_and_clinical_data_of_the_subjects_who_underwent_cosmetic_orthognathic_surgery_/1293755", "title"=>"Demographic and clinical data of the subjects who underwent cosmetic orthognathic surgery.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-01-23 02:46:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/1871424"], "description"=>"<p>The figure shows a scatterplot for the actual value of perioperative analgesic use (μg/kg; log-transformed) in patients who underwent major abdominal surgery and the predicted value that was calculated. Each point represents an individual patient. The solid line in the scatterplot represents the regression line, and the mathematical formula represents the regression equation.</p>", "links"=>[], "tags"=>["pain perception latencies", "snp", "opioid", "Individual Opioid Analgesic Requirements", "r 2", "regression analyses", "postoperative", "predictor", "utility", "orthognathic surgery", "perioperative fentanyl use", "prediction formulas", "ppl", "data", "Genetic Polymorphism Analyses BackgroundThe"], "article_id"=>1293754, "categories"=>["Biological Sciences"], "users"=>["Kaori Yoshida", "Daisuke Nishizawa", "Takashi Ichinomiya", "Tatsuya Ichinohe", "Masakazu Hayashida", "Ken-ichi Fukuda", "Kazutaka Ikeda"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116885.g005", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regression_analysis_of_perioperative_analgesic_use_after_major_abdominal_surgery_/1293754", "title"=>"Regression analysis of perioperative analgesic use after major abdominal surgery.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-01-23 02:46:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/1871419"], "description"=>"<p>Multiple linear regression analysis during the postoperative period using the stepwise method was performed to construct a prediction formula for individual opioid sensitivity. “y” represents the predicted value of 24-h postoperative fentanyl requirements (μg/kg; log-transformed) that was calculated using the multiple regression equation.</p>", "links"=>[], "tags"=>["pain perception latencies", "snp", "opioid", "Individual Opioid Analgesic Requirements", "r 2", "regression analyses", "postoperative", "predictor", "utility", "orthognathic surgery", "perioperative fentanyl use", "prediction formulas", "ppl", "data", "Genetic Polymorphism Analyses BackgroundThe"], "article_id"=>1293749, "categories"=>["Biological Sciences"], "users"=>["Kaori Yoshida", "Daisuke Nishizawa", "Takashi Ichinomiya", "Tatsuya Ichinohe", "Masakazu Hayashida", "Ken-ichi Fukuda", "Kazutaka Ikeda"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116885.g002", "stats"=>{"downloads"=>0, "page_views"=>39, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Construction_of_prediction_formula_/1293749", "title"=>"Construction of prediction formula.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-01-23 02:46:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/1871418"], "description"=>"<p>The figure shows a scatterplot for the actual value of 24-h postoperative fentanyl use (μg/kg; log-transformed) in patients who underwent cosmetic orthognathic surgery and the predicted value that was calculated. Each point represents an individual patient. The solid line in the scatterplot represents the regression line, and the mathematical formula represents the regression equation.</p>", "links"=>[], "tags"=>["pain perception latencies", "snp", "opioid", "Individual Opioid Analgesic Requirements", "r 2", "regression analyses", "postoperative", "predictor", "utility", "orthognathic surgery", "perioperative fentanyl use", "prediction formulas", "ppl", "data", "Genetic Polymorphism Analyses BackgroundThe"], "article_id"=>1293748, "categories"=>["Biological Sciences"], "users"=>["Kaori Yoshida", "Daisuke Nishizawa", "Takashi Ichinomiya", "Tatsuya Ichinohe", "Masakazu Hayashida", "Ken-ichi Fukuda", "Kazutaka Ikeda"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116885.g001", "stats"=>{"downloads"=>0, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regression_analysis_of_24_h_postoperative_fentanyl_use_after_cosmetic_orthognathic_surgery_/1293748", "title"=>"Regression analysis of 24-h postoperative fentanyl use after cosmetic orthognathic surgery.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-01-23 02:46:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/1871427", "https://ndownloader.figshare.com/files/1871428", "https://ndownloader.figshare.com/files/1871429", "https://ndownloader.figshare.com/files/1871430", "https://ndownloader.figshare.com/files/1871431"], "description"=>"<div><p>Background</p><p>The analgesic efficacy of opioids is well known to vary widely among individuals, and various factors related to individual differences in opioid sensitivity have been identified. However, a prediction model to calculate appropriate opioid analgesic requirements has not yet been established. The present study sought to construct prediction formulas for individual opioid analgesic requirements based on genetic polymorphisms and clinical data from patients who underwent cosmetic orthognathic surgery and validate the utility of the prediction formulas in patients who underwent major open abdominal surgery.</p><p>Methods</p><p>To construct the prediction formulas, we performed multiple linear regression analyses using data from subjects who underwent cosmetic orthognathic surgery. The dependent variable was 24-h postoperative or perioperative fentanyl use, and the independent variables were age, gender, height, weight, pain perception latencies (PPL), and genotype data of five single-nucleotide polymorphisms (SNPs). To examine the utility of the prediction formulas, we performed simple linear regression analyses using subjects who underwent major open abdominal surgery. Actual 24-h postoperative or perioperative analgesic use and the predicted values that were calculated using the multiple regression equations were incorporated as dependent and independent variables, respectively.</p><p>Results</p><p>Multiple linear regression analyses showed that the four SNPs, PPL, and weight were retained as independent predictors of 24-h postoperative fentanyl use (<i>R<sup>2</sup></i> = 0.145, <i>P</i> = 5.66 × 10<sup>-10</sup>) and the two SNPs and weight were retained as independent predictors of perioperative fentanyl use (<i>R<sup>2</sup></i> = 0.185, <i>P</i> = 1.99 × 10<sup>-15</sup>). Simple linear regression analyses showed that the predicted values were retained as an independent predictor of actual 24-h postoperative analgesic use (<i>R<sup>2</sup></i> = 0.033, <i>P</i> = 0.030) and perioperative analgesic use (<i>R<sup>2</sup></i> = 0.100, <i>P</i> = 1.09 × 10<sup>-4</sup>), respectively.</p><p>Conclusions</p><p>We constructed prediction formulas, and the possible utility of these prediction formulas was found in another type of surgery.</p></div>", "links"=>[], "tags"=>["pain perception latencies", "snp", "opioid", "Individual Opioid Analgesic Requirements", "r 2", "regression analyses", "postoperative", "predictor", "utility", "orthognathic surgery", "perioperative fentanyl use", "prediction formulas", "ppl", "data", "Genetic Polymorphism Analyses BackgroundThe"], "article_id"=>1293757, "categories"=>["Biological Sciences"], "users"=>["Kaori Yoshida", "Daisuke Nishizawa", "Takashi Ichinomiya", "Tatsuya Ichinohe", "Masakazu Hayashida", "Ken-ichi Fukuda", "Kazutaka Ikeda"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0116885.s001", "https://dx.doi.org/10.1371/journal.pone.0116885.s002", "https://dx.doi.org/10.1371/journal.pone.0116885.s003", "https://dx.doi.org/10.1371/journal.pone.0116885.s004", "https://dx.doi.org/10.1371/journal.pone.0116885.s005"], "stats"=>{"downloads"=>17, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prediction_Formulas_for_Individual_Opioid_Analgesic_Requirements_Based_on_Genetic_Polymorphism_Analyses_/1293757", "title"=>"Prediction Formulas for Individual Opioid Analgesic Requirements Based on Genetic Polymorphism Analyses", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-01-23 02:46:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/1871426"], "description"=>"<p>The data are expressed as numbers and mean ± SD (range).</p><p>Demographic and clinical data of the subjects who underwent major open abdominal surgery.</p>", "links"=>[], "tags"=>["pain perception latencies", "snp", "opioid", "Individual Opioid Analgesic Requirements", "r 2", "regression analyses", "postoperative", "predictor", "utility", "orthognathic surgery", "perioperative fentanyl use", "prediction formulas", "ppl", "data", "Genetic Polymorphism Analyses BackgroundThe"], "article_id"=>1293756, "categories"=>["Biological Sciences"], "users"=>["Kaori Yoshida", "Daisuke Nishizawa", "Takashi Ichinomiya", "Tatsuya Ichinohe", "Masakazu Hayashida", "Ken-ichi Fukuda", "Kazutaka Ikeda"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116885.t002", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographic_and_clinical_data_of_the_subjects_who_underwent_major_open_abdominal_surgery_/1293756", "title"=>"Demographic and clinical data of the subjects who underwent major open abdominal surgery.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-01-23 02:46:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/1871423"], "description"=>"<p>The figure shows a scatterplot for the actual value of 24-h postoperative analgesic use (μg/kg; log-transformed) in patients who underwent major abdominal surgery and the predicted value that was calculated. Each point represents an individual patient. The solid line in the scatterplot represents the regression line, and the mathematical formula represents the regression equation.</p>", "links"=>[], "tags"=>["pain perception latencies", "snp", "opioid", "Individual Opioid Analgesic Requirements", "r 2", "regression analyses", "postoperative", "predictor", "utility", "orthognathic surgery", "perioperative fentanyl use", "prediction formulas", "ppl", "data", "Genetic Polymorphism Analyses BackgroundThe"], "article_id"=>1293753, "categories"=>["Biological Sciences"], "users"=>["Kaori Yoshida", "Daisuke Nishizawa", "Takashi Ichinomiya", "Tatsuya Ichinohe", "Masakazu Hayashida", "Ken-ichi Fukuda", "Kazutaka Ikeda"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116885.g004", "stats"=>{"downloads"=>0, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regression_analysis_of_24_h_postoperative_analgesic_use_after_major_abdominal_surgery_/1293753", "title"=>"Regression analysis of 24-h postoperative analgesic use after major abdominal surgery.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-01-23 02:46:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/1871421"], "description"=>"<p>The figure shows a scatterplot for the actual value of perioperative fentanyl use (μg/kg; log-transformed) in patients who underwent cosmetic orthognathic surgery and the predicted value that was calculated. Each point represents an individual patient. The solid line in the scatterplot represents the regression line, and the mathematical formula represents the regression equation.</p>", "links"=>[], "tags"=>["pain perception latencies", "snp", "opioid", "Individual Opioid Analgesic Requirements", "r 2", "regression analyses", "postoperative", "predictor", "utility", "orthognathic surgery", "perioperative fentanyl use", "prediction formulas", "ppl", "data", "Genetic Polymorphism Analyses BackgroundThe"], "article_id"=>1293751, "categories"=>["Biological Sciences"], "users"=>["Kaori Yoshida", "Daisuke Nishizawa", "Takashi Ichinomiya", "Tatsuya Ichinohe", "Masakazu Hayashida", "Ken-ichi Fukuda", "Kazutaka Ikeda"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116885.g003", "stats"=>{"downloads"=>0, "page_views"=>39, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regression_analysis_of_perioperative_fentanyl_use_after_cosmetic_orthognathic_surgery_/1293751", "title"=>"Regression analysis of perioperative fentanyl use after cosmetic orthognathic surgery.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-01-23 02:46:00"}

PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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