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Predictors of Lumbar Spine Degeneration and Low Back Pain in the Community: The Johnston County Osteoarthritis Project.
Goode, Adam P; Cleveland, Rebecca J; George, Steven Z; Schwartz, Todd A; Kraus, Virginia B; Renner, Jordan B; Gracely, Richard H; DeFrate, Louis E; Hu, David; Jordan, Joanne M; Golightly, Yvonne M.
Affiliation
  • Goode AP; Duke University School of Medicine, Durham, North Carolina.
  • Cleveland RJ; University of North Carolina, Chapel Hill.
  • George SZ; Duke University School of Medicine, Durham, North Carolina.
  • Schwartz TA; University of North Carolina, Chapel Hill.
  • Kraus VB; Duke University School of Medicine, Durham, North Carolina.
  • Renner JB; University of North Carolina, Chapel Hill.
  • Gracely RH; University of North Carolina, Chapel Hill.
  • DeFrate LE; Duke University School of Medicine, Durham, North Carolina.
  • Hu D; University of North Carolina, Chapel Hill.
  • Jordan JM; University of North Carolina, Chapel Hill.
  • Golightly YM; University of North Carolina, Chapel Hill.
Arthritis Care Res (Hoboken) ; 74(10): 1659-1666, 2022 10.
Article in En | MEDLINE | ID: mdl-33973412
ABSTRACT

OBJECTIVE:

To determine the incidence and worsening of lumbar spine structure and low back pain (LBP) and whether they are predicted by demographic characteristics or clinical characteristics or appendicular joint osteoarthritis (OA).

METHODS:

Paired baseline (2003-2004) and follow-up (2006-2010) lumbar spine radiographs from the Johnston County Osteoarthritis Project were graded for osteophytes (OST), disc space narrowing (DSN), spondylolisthesis, and presence of facet joint OA (FOA). Spine OA was defined as at least mild OST and mild DSN at the same level for any level of the lumbar spine. LBP, comorbidities, and back injury were self-reported. Weibull models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) of spine phenotypes accounting for potential predictors including demographic characteristics, clinical characteristics, comorbidities, obesity, and appendicular OA.

RESULTS:

Obesity was a consistent and strong predictor of incidence of DSN (HR 1.80 [95% CI 1.09-2.98]), spine OA (HR 1.56 [95% CI 1.01-2.41]), FOA (HR 4.99 [95% CI 1.46-17.10]), spondylolisthesis (HR 1.87 [95% CI 1.02-3.43]), and LBP (HR 1.75 [95% CI 1.19-2.56]), and worsening of DSN (HR 1.51 [95% CI 1.09-2.09]) and LBP (HR 1.51 [95% CI 1.12-2.06]). Knee OA was a predictor of incident FOA (HR 4.18 [95% CI 1.44-12.2]). Spine OA (HR 1.80 [95% CI 1.24-2.63]) and OST (HR 1.85 [95% CI 1.02-3.36]) were predictors of incidence of LBP. Hip OA (HR 1.39 [95% CI 1.04-1.85]) and OST (HR 1.58 [95% CI 1.00-2.49]) were predictors of LBP worsening.

CONCLUSION:

Among the multiple predictors of spine phenotypes, obesity was a common predictor for both incidence and worsening of lumbar spine degeneration and LBP.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spondylolisthesis / Osteoarthritis, Hip / Low Back Pain / Osteophyte / Osteoarthritis, Spine Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Arthritis Care Res (Hoboken) Journal subject: REUMATOLOGIA Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spondylolisthesis / Osteoarthritis, Hip / Low Back Pain / Osteophyte / Osteoarthritis, Spine Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Arthritis Care Res (Hoboken) Journal subject: REUMATOLOGIA Year: 2022 Document type: Article