Evidence map›Paper›PMID 41860838›Full record

ArticlePloS one2026

Patterns of opioid dose escalation in patients with chronic kidney disease initiated on opioids for the treatment of non-cancer pain.

Che Suraya Zin, Stefania Lando, Ailema González-Ortiz, Viyaasan Mahalingasivam, Shayan Mostafaei, Wan Rohaidah Ahmad, Mazlila Meor Ahmad Shah, Björn Wettermark, Juan Jesus Carrero

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Che Suraya ZinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-5572-2719
Stefania LandoDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Ailema González-OrtizDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Viyaasan MahalingasivamDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Shayan MostafaeiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-1966-1306
Wan Rohaidah AhmadPain management Unit, Department of Anaesthesiology, and Intensive Care Hospital Sultanah Nur Zahirah, Kuala Terengganu, Terengganu, Malaysia.
Mazlila Meor Ahmad ShahPain management Unit, Department of Anaesthesiology and Intensive Care, Hospital Selayang, Batu Caves, Selangor, Malaysia.
Björn WettermarkDepartment of Pharmacy, Faculty of Pharmacy, Uppsala University, Uppsala, Sweden.
Juan Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-4763-2024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPain management in chronic kidney disease (CKD) is challenging due to altered drug metabolism, impaired excretion, and higher opioid toxicity risk. Despite this, opioids are commonly prescribed, yet real-world data on dose escalation in CKD remain limited.

objectiveTo investigate patterns and timing of opioid dose escalation to ≥50 and ≥90 MME/day among new opioid users across kidney function levels.

methodsThis population-based cohort study used data from the Stockholm Creatinine Measurements (SCREAM) project linking diagnoses, prescriptions, and laboratory records. Adult new opioid users (no prior opioid in 12 months) from 2012-2021 were categorized by baseline eGFR (≥60, 30-59, < 30 mL/min/1.73m²). Opioids were identified using ATC codes, and daily doses (MME/day) were calculated based on strength, quantity, and equianalgesic ratios. Fine-Gray competing-risks regression assessed time to dose escalation (≥50 and ≥90 MME/day), accounting for death as a competing event.

resultsOf 81,987 adult new opioid users, 5,987 (7.3%) escalated to ≥50 MME/day comprising 7.4%, 6.8%, and 8.1% of patients with eGFR ≥ 60, 30-59, and <30 mL/min/1.73m², respectively. For ≥90 MME/day, 2,067 (2.5%) escalated, 2.5%, 2.3%, and 2.9% across the same eGFR categories. Competing risks regression showed significantly lower risks of escalation among patients with reduced eGFR levels. For ≥50 MME/day, the sub distribution hazard ratios (SHRs) were 0.67 (95% CI: 0.56-0.81, p < 0.001) for eGFR 30-59 and 0.64 (95% CI: 0.42-0.99, p = 0.043) for those with eGFR < 30.For ≥90 MME/day, SHRs were 0.57 (95% CI: 0.43-0.75, p < 0.001)and 0.31(95% CI: 0.15-0.65, p = 0.002), respectively. Most escalation occurred within six months, with minimal increase thereafter.

conclusionOpioid dose escalation occurred across all eGFR levels, underscoring the need for cautious, individualized prescribing and close monitoring, especially in patients with reduced kidney function.

Indexed as

Analgesics, OpioidPainRenal Insufficiency, ChronicAdultAgedCohort StudiesDose-Response Relationship, DrugFemaleGlomerular Filtration RateHumansMaleMiddle AgedPain ManagementAnalgesics, Opioid

Identifiers

PMID41860838
PMCPMC13004407

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.