| Literature DB >> 35992021 |
Nicolas A Zavala1, Randall W Knoebel2,3, Magdalena Anitescu4.
Abstract
Objective: In this study, we aim to evaluate the efficacy of adjunctive lidocaine and ketamine infusions for opioid reduction in the treatment of sickle cell disease in patients with vaso-occlusive crisis (VOC). Design: We retrospectively reviewed a cohort of 330 adult sickle-cell crisis hospital encounters with 68 patients admitted to our institution from July 2017 to August 2018.Entities:
Keywords: lidocaine infusion; opioid dose reduction; opioid tolerance; sickle cell disease; vaso-occlusive crisis
Year: 2022 PMID: 35992021 PMCID: PMC9386131 DOI: 10.3389/fpain.2022.878985
Source DB: PubMed Journal: Front Pain Res (Lausanne) ISSN: 2673-561X
University of Chicago sickle cell disease vaso-occlusive inpatient pain management algorithm.
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| - Continue prior to admission (PTA) lonag acting and short acting opioid | - Discontinue PCA | - Consult acute pain service for consideration of ketamine, lidocaine or alternative techniques | |
| Methadone-starting dose | Oral morphine equivalents (24 h total) | ||
| 2.5 mg TID po | <60 mg/day | ||
| 5 mg TID po | >60 mg/day | ||
| Consider expert consultation | >300 mg/day | ||
Concurrent opioid dose should not be escalated while receiving methadone as a co-analgesic.
*Patients started at 7.5 mg/day can be titrated to 15 mg/day after 24 h of dosing.
University of Chicago inpatient ketamine infusion protocol.
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University of Chicago inpatient lidocaine infusion protocol.
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| Low dose | Continuous infusion for optimal analgesia (maximum 24 h) | Ordered by acute pain service available on regular hospital units with continuous telemetry | Bolus: 1–1.5 mg/kg over 10 min, followed by a flat dose rate based on ideal body weight category | |
| Moderate dose | Ordered by acute pain service available in intensive care units, PACU, and emergency department | Bolus: 1–1.5 mg/kg over 10 min, continuous after that at 0.5–3 mg/kg/h (all ideal body weight) |
Figure 1Schematic of analysis. Patient comparisons were complicated as infused patients had a window of treatment and, thus, point of reference that was not naturally occurring in non-infused patients. To account for this, we randomly chose a reference day from control encounters and randomly assigned a window (length) of treatment. In order to give a visual explanation of the way the analysis of the “no infusion” group defined the treatment window, four randomly selected patients with different trajectories for MME were chosen; as such, each line represents a patient.
Baseline characteristics of patient encounters.
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| Number of encounters | 273 | 28 | 29 |
| Female (83) | 0.63 | 0.87* | 0.71 |
| Median age | 30 (23–37) | 27 (23–29)* | 26 (21–30)* |
| Median daily MME | 240 (140–415) | 820 (225–2,100)* | 492 (251–860)* |
| Median day of administration | N/A | 5.5 (3–8.5)* | 4 (3–8) |
| Median length of stay | 9 (6–12) | 12.5 (9–17.5)* | 9 (7–16) |
A total of 330 encounters from 68 patients were identified from January 2017 to July 2018. Encounters with ketamine and lidocaine infusions represent 16 and 21 patients, respectively.
*p < 0.05 in the identified baseline characteristic when compared to the control group.
Figure 2Comparison of change in average daily oral morphine equivalents between encounters with infusion therapy and those receiving standard care. Data are mean change in opioid consumption over treatment window (± 1 SE). The ketamine group and the lidocaine group are significantly different from the standard-care group (p = 0.02, p = 0.03; t-test).
Results of intergroup and conditional logistic regression analysis.
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| Encounters (n) | 251 | 24 | 24 | |
| Mean MME change (SE) | 13% (± 4) | −15% (± 13) | −10% (± 10) | 0.02 |
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| Opioid decrease frequency | 0.52 | 0.67 | 0.67 | 0.1 |
| Unadjusted RR | - | 1.45 | 1.45 | - |
| AOR [95%CI] | - | 4.76 [1.4–17] | 6.7 [1.8–25] | <0.01 |
| ARR [95% CI] | - | 2.9 [1.2–8.3] | 3.7 [1.4–4.8] | <0.01 |
Data are based on the relative average change (decrease) in daily MME over the treatment window. Data are adjusted for age, sex, days of patient stay, mean opioid consumption, and co-administration of acetaminophen, nonsteroidal anti-inflammatory drugs (NSAIDs), membrane stabilizers, or methadone.AOR, adjusted odds ratio; ARR, adjusted relative risk; SE, standard error.
Generalized estimation equation (GEE) model with exchangeable correlation structure.
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| Ketamine | 1.45 | 0.22 | 2.39 | 0.02 | 1.07 | 1.98 |
| Lidocaine | 1.24 | 0.12 | 2.18 | 0.03 | 1.02 | 1.51 |
Results of interaction of treatment between primary outcome, decrease in opioid consumption, number of patient hospital admissions, and administration of either infusion (ketamine or lidocaine) when compared to those that received neither.
Vaso-occlusive (VOC) crisis inpatient pain management.
Decision tree shows quick escalation to inpatient pain consult if opioid regimen is ineffective.