{"title":"Investigating the Variability among Indicators for Quantifying Antimicrobial Use in the Intensive Care Units: Analysis of Real-world Evidence.","authors":"Prity R Deshwal, Pramil Tiwari","doi":"10.5005/jp-journals-10071-24745","DOIUrl":null,"url":null,"abstract":"<p><p>This study investigated variability among four indicators for quantifying antimicrobial use in intensive care units (ICUs): defined daily doses (DDD), prescribed daily doses (PDD), duration of therapy (DOT), and length of therapy (LOT) and recommended the most clinically relevant approach. Retrospective data from patients who had received at least one antimicrobial was analyzed. Patients whose records were incomplete or expired were excluded. Duration of therapy (24433/1000 PDs) and LOTs (12832/1000 PDs) underestimated the overall consumption of antimicrobials compared with DDD of 28391/1000 PDs. Whereas PDD (46699/1000 PDs) overestimated it. Comparison analysis detected % differences of 13.94, 23.92, and 54.80% between DDD and DOT, DDD and PDD, and DDD and LOT, indicators respectively. Linear regression revealed stronger (<i>r</i> <sup>2</sup> = 0.86), moderate (<i>r</i> <sup>2</sup> = 0.50), and moderate (<i>r</i> <sup>2</sup> =0.60) correlation between DDD and DOT, DDD and PDD and DDD and LOT indicators respectively. According to findings, combining DOT and DDD is a more practical method to quantify antimicrobial consumption in hospital ICUs.</p><p><strong>How to cite this article: </strong>Deshwal PR, Tiwari P. Investigating the Variability among Indicators for Quantifying Antimicrobial Use in the Intensive Care Units: Analysis of Real-world Evidence. Indian J Crit Care Med 2024;28(7):662-676.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"28 7","pages":"662-676"},"PeriodicalIF":1.5000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11234130/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Critical Care Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5005/jp-journals-10071-24745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigated variability among four indicators for quantifying antimicrobial use in intensive care units (ICUs): defined daily doses (DDD), prescribed daily doses (PDD), duration of therapy (DOT), and length of therapy (LOT) and recommended the most clinically relevant approach. Retrospective data from patients who had received at least one antimicrobial was analyzed. Patients whose records were incomplete or expired were excluded. Duration of therapy (24433/1000 PDs) and LOTs (12832/1000 PDs) underestimated the overall consumption of antimicrobials compared with DDD of 28391/1000 PDs. Whereas PDD (46699/1000 PDs) overestimated it. Comparison analysis detected % differences of 13.94, 23.92, and 54.80% between DDD and DOT, DDD and PDD, and DDD and LOT, indicators respectively. Linear regression revealed stronger (r2 = 0.86), moderate (r2 = 0.50), and moderate (r2 =0.60) correlation between DDD and DOT, DDD and PDD and DDD and LOT indicators respectively. According to findings, combining DOT and DDD is a more practical method to quantify antimicrobial consumption in hospital ICUs.
How to cite this article: Deshwal PR, Tiwari P. Investigating the Variability among Indicators for Quantifying Antimicrobial Use in the Intensive Care Units: Analysis of Real-world Evidence. Indian J Crit Care Med 2024;28(7):662-676.
期刊介绍:
Indian Journal of Critical Care Medicine (ISSN 0972-5229) is specialty periodical published under the auspices of Indian Society of Critical Care Medicine. Journal encourages research, education and dissemination of knowledge in the fields of critical and emergency medicine.