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  • Author or Editor: Praveen Mummaneni x
  • Journal of Neurosurgery: Spine x
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Zoher Ghogawala, Daniel K. Resnick, Steven D. Glassman, James Dziura, Christopher I. Shaffrey and Praveen V. Mummaneni

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Khoi D. Than, Jill N. Curran, Daniel K. Resnick, Christopher I. Shaffrey, Zoher Ghogawala and Praveen V. Mummaneni

OBJECTIVE

To date, the factors that predict whether a patient returns to work after lumbar discectomy are poorly understood. Information on postoperative work status is important in analyzing the cost-effectiveness of the procedure.

METHODS

An observational prospective cohort study was completed at 13 academic and community sites (NeuroPoint–Spinal Disorders [NeuroPoint-SD] registry). Patients undergoing single-level lumbar discectomy were included. Variables assessed included age, sex, body mass index (BMI), SF-36 physical function score, Oswestry Disability Index (ODI) score, presence of diabetes, smoking status, systemic illness, workers' compensation status, and preoperative work status. The primary outcome was working status within 3 months after surgery. Stepwise logistic regression analysis was performed to determine which factors were predictive of return to work at 3 months following discectomy.

RESULTS

There were 127 patients (of 148 total) with data collected 3 months postoperatively. The patients' average age at the time of surgery was 46 ± 1 years, and 66.9% of patients were working 3 months postoperatively. Statistical analyses demonstrated that the patients more likely to return to work were those of younger age (44.5 years vs 50.5 years, p = 0.008), males (55.3% vs 28.6%, p = 0.005), those with higher preoperative SF-36 physical function scores (44.0 vs 30.3, p = 0.002), those with lower preoperative ODI scores (43.8 vs 52.6, p = 0.01), nonsmokers (83.5% vs 66.7%, p = 0.03), and those who were working preoperatively (91.8% vs 26.2%, p < 0.0001). When controlling for patients who were working preoperatively (105 patients), only age was a statistically significant predictor of postoperative return to work (44.1 years vs 51.1 years, p = 0.049).

CONCLUSIONS

In this cohort of lumbar discectomy patients, preoperative working status was the strongest predictor of postoperative working status 3 months after surgery. Younger age was also a predictor. Factors not influencing return to work in the logistic regression analysis included sex, BMI, SF-36 physical function score, ODI score, presence of diabetes, smoking status, and systemic illness.

Clinical trial registration no.: 01220921 (clinicaltrials.gov)

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Daniel K. Resnick, Tanvir F. Choudhri, Andrew T. Dailey, Michael W. Groff, Larry Khoo, Paul G. Matz, Praveen Mummaneni, William C. Watters III, Jeffrey Wang, Beverly C. Walters and Mark N. Hadley

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Daniel K. Resnick, Tanvir F. Choudhri, Andrew T. Dailey, Michael W. Groff, Larry Khoo, Paul G. Matz, Praveen Mummaneni, William C. Watters III, Jeffrey wang, Beverly C. Walters and Mark N. Hadley

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Daniel K. Resnick, Tanvir F. Choudhri, Andrew T. Dailey, Michael W. Groff, Larry Khoo, Paul G. Matz, Praveen Mummaneni, William C. Watters III, Jeffrey Wang, Beverly C. Walters and Mark N. Hadley

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Daniel K. Resnick, Tanvir F. Choudhri, Andrew T. Dailey, Michael W. Groff, Larry Khoo, Paul G. Matz, Praveen Mummaneni, William C. Watters III, Jeffrey Wang, Beverly C. Walters and Mark N. Hadley

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Daniel K. Resnick, Tanvir F. Choudhri, Andrew T. Dailey, Michael W. Groff, Larry Khoo, Paul G. Matz, Praveen Mummaneni, William C. Watters III, Jeffrey Wang, Beverly C. Walters and Mark N. Hadley

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Daniel K. Resnick, Tanvir F. Choudhri, Andrew T. Dailey, Michael W. Groff, Larry Khoo, Paul G. Matz, Praveen Mummaneni, William C. Watters III, Jeffrey Wang, Beverly C. Walters and Mark N. Hadley

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Daniel K. Resnick, Tanvir F. Choudhri, Andrew T. Dailey, Michael W. Groff, Larry Khoo, Paul G. Matz, Praveen Mummaneni, William C. Watters III, Jeffrey Wang, Beverly C. Walters and Mark N. Hadley

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Daniel K. Resnick, Tanvir F. Choudhri, Andrew T. Dailey, Michael W. Groff, Larry Khoo, Paul G. Matz, Praveen Mummaneni, William C. Watters III, Jeffrey Wang, Beverly C. Walters and Mark N. Hadley