Frequency, risk factors and symptomatology of iatrogenic withdrawal from opioids and benzodiazepines in critically Ill neonates, children and adults: A systematic review of clinical studies
Bibliographic record
Abstract
WHAT IS KNOWN AND OBJECTIVE: Many critically ill patients are exposed to opioids and benzodiazepines at high doses for prolonged periods, and upon discontinuation of these drugs, they may be at risk for iatrogenic withdrawal. Although this syndrome was associated with worse outcomes in the critically ill, limited guidance exists regarding its evaluation, prevention and treatment. This systematic review examined the frequency, risk factors and symptomatology of iatrogenic withdrawal from opioids and/or benzodiazepines in critically ill neonates, children and adults. METHODS: The literature search was conducted in PubMed, Medline, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane register of systematic reviews, DARE, CINAHL, Trip database, CMA infobase and NICE evidence from inception to February 2018. Grey literature was examined. We included studies reporting frequency, risk factors or symptomatology of iatrogenic withdrawal of opioids, benzodiazepines (or both) in critically ill patients. We considered all study designs except case reports and case series. We excluded studies on neonatal abstinence syndrome, alcohol withdrawal, studies on chronic opioid and/or benzodiazepine users and studies on prevention or treatment of withdrawal in critical care patients. Two independent reviewers applied the inclusion and exclusion criteria. Pairs of reviewers independently abstracted data and evaluated methodological quality using the Cochrane Collaboration Tool, Newcastle-Ottawa or QUADAS-2. Details regarding study design, outcomes, definition, evaluation and type of withdrawal (opioid, benzodiazepine or mixed) were collected. Cumulative doses and duration of opioids and benzodiazepines were collected. RESULTS AND DISCUSSION: We identified 21 866 unique citations and 153 full texts were assessed for eligibility. Thirty-four studies were included; the majority were observational and few included adults. In prospective studies, mixed withdrawal was observed in 7.5%-100% of patients in paediatric studies and ranged from 16.7% to 55% in adults. Symptomatology of withdrawal was not well described. Risk factors included higher cumulative dose and prolonged administration of opioids and benzodiazepines. WHAT IS NEW AND CONCLUSION: Iatrogenic withdrawal appears to be a frequent syndrome in critical care patients who received regular doses of opioids and/or benzodiazepines for ≥72 hours. Larger studies are required, especially in critically ill adults, to better define the syndrome and its symptomatology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".