Association between tramadol use and risk of pneumonia in the middle‐aged and elderly populations: a propensity‐score matched cohort study
Bibliographic record
Abstract
BACKGROUND: Tramadol is a widely used weak opioid; however, the evidence for its safety profile in respiratory system needs additional information. We aimed to examine whether tramadol use is associated with an increased risk of pneumonia in the general population. METHODS: We conducted five propensity-score (PS) matched cohort studies in The Health Improvement Network database. Participants aged ≥50-years initiated tramadol were compared with those initiated one of the following analgesics: codeine (n = 144,506), naproxen (n = 113,028), diclofenac (n = 74,297), celecoxib (n = 42,538), or etoricoxib (n = 27,232). The outcome was incident pneumonia. OUTCOMES: During 6-month follow-up, 395 pneumonia (5.6/1000 person-years) occurred in the tramadol group and 414 pneumonia (5.9/1000 person-years) occurred in the PS matched codeine group. Compared with codeine group, the risk of pneumonia was lower in the tramadol group (hazard ratio [HR] = 0.63, 95% confidence interval [CI]: 0.49-0.82) during the first 30-day follow-up, but comparable between groups over the entire 6-month follow-up (HR = 0.95, 95%CI: 0.83-1.09). In addition, the risk of pneumonia was higher in the tramadol group than that in the PS matched naproxen (HR = 1.68, 95%CI: 1.37-2.06), diclofenac (HR = 1.63, 95%CI: 1.31-2.03), celecoxib (HR = 1.64, 95%CI: 1.20-2.24) or etoricoxib (HR = 1.61, 95%CI: 1.04-2.49) group. CONCLUSIONS: The present study indicated that tramadol initiators had a lower risk of incident pneumonia than codeine initiators during the short-time follow-up, but had a comparable pneumonia risk compared with codeine initiators and had a higher risk of pneumonia compared with NSAIDs initiators over the entire 6-month follow-up duration. Confirmation of the present findings and determination of the underlying mechanism will require more studies. SIGNIFICANCE: Tramadol might not be a safer alternative analgesic to codeine or NSAIDs. Both of health-care providers and patients may need to be on alert for its safety profile in respiratory system in future clinical practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".