Spinal Fusion Clinical Trial
Official title:
Risk Factors of Second Surgery for Adjacent Segment Disease Following Anterior Cervical Discectomy and Fusion: a 16-year Cohort Study
Although the incidence of second surgery for adjacent segment disease (ASD) after anterior cervical discectomy and fusion (ACDF) has been reported, its risk factors remain elusive. Few studies have had a sufficiently large number of patients, long follow-up time, and high follow-up rate for investigation. To identify non-surgical risk factors of second surgery for ASD following ACDF, the study used a national cohort with comprehensive follow-up.
All second ACDF surgery after one year from the first ACDF were identified as a consequence
of ASD that required another surgery. A multivariate competing risk survival model,
Kaplan-Meier survivorship, and average time to events were calculated.
2.1. Data source and ethical concerns The study used the National Health Insurance Research
Database (NHIRD), a national database containing 26 million administered insurants
accumulated from January 1997 to December 2013, provided by the National Health Research
Institutes of Taiwan. Due to the unique social-welfare health insurance system operated by
the government, it is mandatory for every resident in Taiwan to be enrolled. Thus, the NHIRD
has covered 99% of the population since its launch in 1996. The monopolistic national health
insurance also offers unrestricted access to any healthcare provider of the patients'
choices. The statistics, therefore, gathered by the NHIRD represent a sound cohort for
investigation of the natural course and subsequent management of diseases. It is particularly
good for studies that need longitudinal observation for repeat treatment (i.e. surgery for
ASD) because it allows for the capture of events, even though they may occur in multiple or
different institutes and hospitals. The universal coverage and comprehensive follow-up
provided a valuable chance to study ASD.
All the personal information had already undergone a de-identification and encryption
process. Individual and hospital identifiers are unique to the research database and
researchers therefore cannot trace individual patients or health service providers.
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