Work

Risk factors analysis and risk prediction model for failed back surgery syndrome: A prospective cohort study

Year: 2024

Type: article

Abstract: Introduction: With the growing number of posterior open surgery, the incidence of failed back surgery syndrome (FBSS) increases gradually. Currently, there is a lack of predictive systems and scientific evaluation in clinical practice. This study aimed to risk factors analysis of FBSS and develop a risk prediction model. Materials and methods: Baseline data were collected from 512 patients. Patients were followed up for one year. Ultimately, 146 patients were classified in the FBSS group, with an incidence rate of 32.5 %. Logistic regression was used to screen for independent risk factors influencing the occurrence of FBSS. The diagnostic power of model was evaluated using the receiver operating characteristic (ROC) curve. Findings: Age, smoking, type of pain, revision surgery, surgical technique, quality of life, and psychological status were significantly associated with the incidence of FBSS. The strongest factor in this model was the selected surgical technique, with an odds ratio of 0.095. The area under the ROC curve for the model's diagnostic and classification power was 0.852. Conclusion: The causes of FBSS can stem from underlying factors, lifestyle, surgical causes, and patients' psychological factors. Therefore, prevention and treatment for each individual should be based on their specific cause to achieve optimal results.

Source: Heliyon

DOI: 10.1016/j.heliyon.2024.e40607

Authors: Parisa Hajilo, Behzad Imani, Shirdel Zandi, Ali Mehrafshan, Salman khazaei

Institutions: Hamedan University of Medical Sciences, Qom University of Medical Science and Health Services

Language: English

Topic: Spine and Intervertebral Disc Pathology

Subfield: Pathology and Forensic Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,100