Improving Postoperative Recovery Of Patients Waiting For A Lumbar Spine Surgery
Bibliographic record
Abstract
Lumbar spine stenosis (LSS) is a prevalent specific low back pain (LBP), characterized by neurogenic claudication and important loss of function, such as a decrease in lower limb and trunk muscle strength and endurance and in walking ability. Among the conservative treatments, physical exercises have been used to improve functional physical capacities in the case of LBP; this is also valid for LSS. Several studies have investigated preoperative exercise programs for patients awaiting knee or hip surgery, but not for LSS. PURPOSE The aim of this study was to assess the feasibility and the efficacy of a preoperative exercise program that was conducted to improve postoperative recovery. METHODS Thirteen patients (63.2±12.6 yrs) with LSS awaiting surgery were recruited and participated to a 6-week (3 times a week, 30 min/session) supervised exercise program prior to surgery. Physical and functional evaluations were conducted prior and at the end of the 6-week exercise program. The intervention program aimed at improving muscular strength and endurance, spinal stabilization and cardiovascular capacities. Primary physical outcomes were trunk flexor and extensor maximal strength, trunk extensor endurance and lower limb maximal strength. The main feasibility variables were dropout rate, compliance to program and program satisfaction. Comparisons for physical outcomes were made using one-way ANOVA with repeated measures. RESULTS Dropout rate was 7.7% and the compliance to program was 85.9%. Nine of 10 participants showed a program satisfaction over 85%. Lower limb maximal strength was improved, but not significantly (pre=72.9±38.0 N, post=76.02±37.2 N, p=0.555). Trunk extensor endurance was not significantly improved (pre=41.5±57.2 s, post=53.4±69.2 s, p=0.318). Extensor maximal strength was also not significantly improved (pre=0.48±0.28 V, post=0.84±0.98 V, p=0.298), but flexor maximal strength was significantly improved (pre=0.42±0.20 V, post=0.52±0.23 V, p≤ 0.05). CONCLUSION A preoperative exercise program conducted to improve postoperative recovery is feasible. There seems to be a trend of improvement, however due to the poor physical condition of patients with LSS, participants are difficult to train and to evaluate within a specific time frame.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".