Postoperative Quality of Life in Patients with Pyogenic Spondylodiscitis
Bibliographic record
Abstract
Abstract Background Pyogenic spondylodiskitis affects a fragile patient population frequently fraught with severe comorbidities. Data on long-term outcomes, especially for patients undergoing surgery, are scarce. The aim of this study was to assess the long-term quality of life after surgical instrumentation. Methods Data of 218 patients who were treated for spondylodiskitis at our institution between January 2008 and July 2017 were reviewed. In-hospital death and mortality rates at 1 year and follow-up were assessed. A survey was conducted using the following questionnaires: Oswestry Disability Index (ODI), Short Form Work Ability Index (SF-WAI), 36-Item Short Form Health Survey (SF-36), and Short Form McGill Pain Questionnaire (SF-MPQ). We investigated the correlation between the assessed variables and clinical data including patient age, comorbidity score at admission, number of operated levels, corpectomy, and length of hospital stay. Results In-hospital mortality rate was 1.8% and 1-year mortality rate was 5.5%. At the final follow-up (mean 7 ± 6 years), the mortality rate was 45.4%. Seventy-four patients were lost to follow-up or refused to participate in the study. Forty-four patients responded to the survey and had a mean age of 73 years and mean follow-up of 7 ± 2 years. In the ODI questionnaire, disability grades were classified as minimal (23%), moderate (21%), severe (19%), complete (33%), and bed bound (4%). We found a significant correlation between inability to return to work and severe disability on ODI (p < 0.001), as well as a low score on any component of the SF-36 (p < 0.05). Conclusion Despite low in-hospital and 1-year mortality rates, patients with surgically treated pyogenic spondylodiskitis are prone to long-term limitation in all domains of quality of life, especially in physical health and work ability.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".