ArticleCureus2026
Complications of Elective Lumbar Spine Fusion in Patients With COVID-19.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe COVID-19 pandemic led to widespread delays in elective surgery, and prior studies have shown increased perioperative risk when surgery is performed soon after infection. While recommendations exist for delaying elective arthroplasty following COVID-19, data guiding the timing of elective spine surgery remain limited. This study evaluates complication rates in patients undergoing elective lumbar fusion within 14 days of a COVID-19 diagnosis using a large national database.
methodsThe PearlDiver Mariner Database was queried to identify all adult patients who underwent primary elective lumbar fusion between 2020 and April 2023. Patients diagnosed with COVID-19 within 14 days preoperatively were included, while those with COVID-19 diagnoses 15-90 days before surgery were excluded. A control cohort without COVID-19 diagnoses within 90 days of surgery was established. Demographics, length of stay, 30-day costs, readmissions, and postoperative complications were analyzed. Nearest-neighbor 10:1 propensity score matching was performed based on age, Elixhauser Comorbidity Index (ECI), and gender. Multivariable logistic regression adjusted for age, ECI, gender, and number of levels fused, assessed the association between recent COVID-19 infection and postoperative outcomes with reported odds ratios (OR).
resultsOf 128,337 patients undergoing lumbar fusion, 548 (0.43%) had a COVID-19 diagnosis within 14 days of surgery. After propensity matching, patients with recent COVID-19 infection had significantly longer hospital stays (7.96 vs. 4.46 days, p<0.001) and higher 30-day costs ($9,464 vs. $7,543, p<0.001). Recent COVID-19 diagnosis was independently associated with increased risk of 30-day (OR 14.54, p<0.001) and 90-day (OR 11.67, p<0.001) all-cause readmissions, intraoperative transfusion (OR 2.81, p<0.01), and multiple medical complications, including pneumonia (OR 6.87), respiratory failure (OR 3.86), acute kidney injury (AKI, OR 2.41), sepsis (OR 1.86), shock OR 3.12), and cardiac arrhythmias (OR 1.78) (all p<0.05). No significant differences were observed in surgical complications or incision and drainage (I&D) rates.
conclusionPatients undergoing elective lumbar spine fusion within 14 days of a COVID-19 diagnosis experience significantly higher rates of medical complications, hospital readmissions, length of stay, and healthcare costs. These support consideration of delaying non-urgent elective lumbar fusion for at least two weeks following COVID-19 infection, with careful assessment of patient comorbidities and infection severity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.