Establishment and verification of a surgical prognostic model for cervical spinal cord injury without radiological abnormality

Neural Regen Res, 2019 · DOI: 10.4103/1673-5374.247480 · Published: April 1, 2019

Spinal Cord Injury Surgery Research Methodology & Design

Simple Explanation

This study focused on developing a model to predict the surgical outcome for patients with cervical spinal cord injury without radiological abnormality. They analyzed multiple factors and created a formula to estimate prognosis. The model incorporates the extent of cervical stenosis, preoperative neurological status, and the time between injury and surgery to estimate the likelihood of a good outcome. The resulting model can help doctors determine a more accurate prognosis using easily accessible clinical factors. This research helps predict patient outcomes and identify key factors.

Study Duration

April 2010 to November 2017

Participants

43 patients (24 males and 19 females aged 37–68 years)

Evidence Level

Not specified

Key Findings

1
A prognostic model was established: logit(P) = −25.4545 + 21.2576VALUE + 1.2160SCORE − 3.4224TIME, where VALUE is the Pavlov ratio, SCORE is the JOA score, and TIME is disease duration.
2
The extent of cervical spinal stenosis, duration of disease, and preoperative Japanese Orthopaedic Association score were the main factors affecting the prognosis.
3
Greater cervical stenosis, worse preoperative neurological status, and longer duration between injury and surgery were associated with worse patient outcomes.

Research Summary

This study aimed to establish and verify a surgical prognostic model for cervical spinal cord injury without radiological abnormality. The model uses factors like cervical stenosis, JOA score, and disease duration. The researchers found that the extent of cervical spinal stenosis, the duration of the disease, and the preoperative JOA score were significant predictors of patient outcomes after surgery. The established model demonstrated a certain clinical value in predicting the prognosis of patients with cervical spinal cord injury without radiological abnormality, although further improvement is needed.

Practical Implications

Predictive Tool

The prognostic model can be used as a tool to predict the likelihood of successful surgical outcomes in patients with cervical spinal cord injury without radiological abnormality.

Treatment Timing

The model highlights the importance of early surgical intervention in improving patient outcomes, especially considering the impact of disease duration.

Risk Factor Identification

Identifying risk factors such as greater cervical stenosis and worse preoperative neurological status can aid in optimizing patient management and treatment strategies.

Study Limitations

1
Insufficient sample size
2
Controversy and lack of consensus on the use of the Japanese Orthopaedic Association score as an evaluation standard
3
Underlying health problems were not taken into consideration

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