Cargando…

Pain Pharmacotherapy in a Large Cohort of Patients with Osteoarthritis: A Real-World Data Analysis

INTRODUCTION: There is limited evidence on the consumption of analgesics in real-world large cohorts of patients with osteoarthritis (OA), especially in those with comorbidities. We aimed to characterize the use of pharmacological analgesic treatments, evaluate standardized comorbidity rates, and as...

Descripción completa

Detalles Bibliográficos
Autores principales: Fallach, Noga, Chodick, Gabriel, Tirosh, Matanya, Eisenberg, Elon, Lubovsky, Omri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380605/
https://www.ncbi.nlm.nih.gov/pubmed/34106448
http://dx.doi.org/10.1007/s40744-021-00329-5
_version_ 1783741231001501696
author Fallach, Noga
Chodick, Gabriel
Tirosh, Matanya
Eisenberg, Elon
Lubovsky, Omri
author_facet Fallach, Noga
Chodick, Gabriel
Tirosh, Matanya
Eisenberg, Elon
Lubovsky, Omri
author_sort Fallach, Noga
collection PubMed
description INTRODUCTION: There is limited evidence on the consumption of analgesics in real-world large cohorts of patients with osteoarthritis (OA), especially in those with comorbidities. We aimed to characterize the use of pharmacological analgesic treatments, evaluate standardized comorbidity rates, and assess treatment trends. Our hypotheses were: (1) OA patients generally consume low and inconsistent pharmacological analgesic treatments; (2) analgesic treatment is often non-congruent with comorbidity-related safety concerns. METHODS: The study was carried out at the second largest health maintenance organization in Israel. Members aged 18 years or above who were diagnosed with OA before December 31, 2018, were included. Information was obtained from the members' electronic medical record (EMR) including data on dispensed prescriptions, which were used to estimate analgesic consumption. RESULTS: A total of 180,126 OA patients were included in our analyses; analgesics were dispensed to 64.2% of the patients, with oral NSAIDs and opioids dispensed to 34.1 and 22.9% of the OA population, respectively. Analgesic use increased with time lapsed from OA diagnosis (p < 0.001), up to a median of 59 days covered (IQR, 20–175) after 21 years. Rates of most comorbidities in the OA population were higher compared to the MHS general population. Patients with comorbidities used more NSAIDs and opioids compared to those without them. CONCLUSIONS: Most OA patients use analgesics, usually oral NSAIDs. Analgesic use remains relatively low throughout the years, indicating that many OA patients are not being treated pharmacologically for pain on a regular basis. Despite having higher rates of several comorbidities compared to MHS general population, many OA patients are still treated with analgesics that can be associated with a worsening in comorbidity. GRAPHIC ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40744-021-00329-5.
format Online
Article
Text
id pubmed-8380605
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer Healthcare
record_format MEDLINE/PubMed
spelling pubmed-83806052021-09-08 Pain Pharmacotherapy in a Large Cohort of Patients with Osteoarthritis: A Real-World Data Analysis Fallach, Noga Chodick, Gabriel Tirosh, Matanya Eisenberg, Elon Lubovsky, Omri Rheumatol Ther Original Research INTRODUCTION: There is limited evidence on the consumption of analgesics in real-world large cohorts of patients with osteoarthritis (OA), especially in those with comorbidities. We aimed to characterize the use of pharmacological analgesic treatments, evaluate standardized comorbidity rates, and assess treatment trends. Our hypotheses were: (1) OA patients generally consume low and inconsistent pharmacological analgesic treatments; (2) analgesic treatment is often non-congruent with comorbidity-related safety concerns. METHODS: The study was carried out at the second largest health maintenance organization in Israel. Members aged 18 years or above who were diagnosed with OA before December 31, 2018, were included. Information was obtained from the members' electronic medical record (EMR) including data on dispensed prescriptions, which were used to estimate analgesic consumption. RESULTS: A total of 180,126 OA patients were included in our analyses; analgesics were dispensed to 64.2% of the patients, with oral NSAIDs and opioids dispensed to 34.1 and 22.9% of the OA population, respectively. Analgesic use increased with time lapsed from OA diagnosis (p < 0.001), up to a median of 59 days covered (IQR, 20–175) after 21 years. Rates of most comorbidities in the OA population were higher compared to the MHS general population. Patients with comorbidities used more NSAIDs and opioids compared to those without them. CONCLUSIONS: Most OA patients use analgesics, usually oral NSAIDs. Analgesic use remains relatively low throughout the years, indicating that many OA patients are not being treated pharmacologically for pain on a regular basis. Despite having higher rates of several comorbidities compared to MHS general population, many OA patients are still treated with analgesics that can be associated with a worsening in comorbidity. GRAPHIC ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40744-021-00329-5. Springer Healthcare 2021-06-09 /pmc/articles/PMC8380605/ /pubmed/34106448 http://dx.doi.org/10.1007/s40744-021-00329-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Fallach, Noga
Chodick, Gabriel
Tirosh, Matanya
Eisenberg, Elon
Lubovsky, Omri
Pain Pharmacotherapy in a Large Cohort of Patients with Osteoarthritis: A Real-World Data Analysis
title Pain Pharmacotherapy in a Large Cohort of Patients with Osteoarthritis: A Real-World Data Analysis
title_full Pain Pharmacotherapy in a Large Cohort of Patients with Osteoarthritis: A Real-World Data Analysis
title_fullStr Pain Pharmacotherapy in a Large Cohort of Patients with Osteoarthritis: A Real-World Data Analysis
title_full_unstemmed Pain Pharmacotherapy in a Large Cohort of Patients with Osteoarthritis: A Real-World Data Analysis
title_short Pain Pharmacotherapy in a Large Cohort of Patients with Osteoarthritis: A Real-World Data Analysis
title_sort pain pharmacotherapy in a large cohort of patients with osteoarthritis: a real-world data analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380605/
https://www.ncbi.nlm.nih.gov/pubmed/34106448
http://dx.doi.org/10.1007/s40744-021-00329-5
work_keys_str_mv AT fallachnoga painpharmacotherapyinalargecohortofpatientswithosteoarthritisarealworlddataanalysis
AT chodickgabriel painpharmacotherapyinalargecohortofpatientswithosteoarthritisarealworlddataanalysis
AT tiroshmatanya painpharmacotherapyinalargecohortofpatientswithosteoarthritisarealworlddataanalysis
AT eisenbergelon painpharmacotherapyinalargecohortofpatientswithosteoarthritisarealworlddataanalysis
AT lubovskyomri painpharmacotherapyinalargecohortofpatientswithosteoarthritisarealworlddataanalysis