Interventional Minimally Invasive Treatments for Chronic Low Back Pain Caused by Lumbar Facet Joint Syndrome: A Systematic Review.

STUDY DESIGN: Systematic review. OBJECTIVE: To investigate the efficacy of nonsurgical interventional treatments for chronic low back pain (LBP) caused by facet joint syndrome (FJS). METHODS: A systematic review of the literature was conducted to identify studies that compared interventional treatments for LBP due to FJS among them, with usual care or sham procedures. Studies were evaluated for pain, physical function, disability, quality of life and employment status. The RoB-2 and MINORS tools were utilized to assess the risk of bias in included studies. RESULTS: Eighteen studies published between January 2000 and December 2021 were included (1496 patients, mean age: 54.31 years old). Intraarticular (IA) facet joint (FJ) injection of hyaluronic acid (HA) did not show significant difference compared to IA corticosteroids (CCS) in terms of pain and satisfaction. FJ denervation using radiofrequency (RF) displayed slightly superior or similar outcomes compared to IA CCS, physical therapy, or sham procedure. IA CCS showed better outcomes when combined with oral diclofenac compared to IA CCS or oral diclofenac alone but was not superior to IA local anesthetic and Sarapin. IA platelet-rich plasma (PRP) led to an improvement of pain, disability and satisfaction in the long term compared to IA CCS. CONCLUSION: FJS is a common cause of LBP that can be managed with several different strategies, including nonsurgical minimally invasive approaches such as IA HA, CCS, PRP and FJ denervation. However, available evidence showed mixed results, with overall little short-term or no benefits on pain, disability, and other investigated outcomes.

Identifying Relapses in Multiple Sclerosis Patients through Administrative Data: A Validation Study in the Lazio Region, Italy.

BACKGROUND: Relapse is frequently considered an outcome measure of disease activity in relapsing-remitting multiple sclerosis (MS). The objectives of this study were to identify relapse episodes in patients with MS in the Lazio region using health administrative databases and to evaluate the validity of the algorithm using patients enrolled at MS treatment centers. METHODS: MS cases were identified in the period between January 1, 2006 and December 31, 2009 using data from regional Health Information Systems (HIS). An algorithm based on HIS was used to identify relapse episodes, and patients recruited at MS centers were used to validate the algorithm. Positive and negative predictive values (PPV, NPV) and the Cohen's kappa coefficient were calculated. RESULTS: The overall MS population identified through HIS consisted of 6,094 patients, of whom 67.1% were female and the mean age was 41.5. Among the MS patients identified by the algorithm, 2,242 attended the centers and 3,852 did not. The PPV was 58.9%, the NPV was 76.3%, and the kappa was 0.36. CONCLUSIONS: The proposed algorithm based on health administrative databases does not seem to be able to reliably detect relapses; however, it may be a helpful tool to detect healthcare utilization, and therefore to identify the worsening condition of a patient's health.

Prevalence of multiple sclerosis in the Lazio region, Italy: use of an algorithm based on health information systems.

Compared with other areas of the country, very limited data are available on multiple sclerosis (MS) prevalence in Central Italy. We aimed to estimate MS prevalence in the Lazio region and its geographical distribution using regional health information systems (HIS). To identify MS cases we used data from drug prescription, hospital discharge and ticket exemption registries. Crude, age- and gender-specific prevalence estimates on December 31, 2011 were calculated. To compare MS prevalence between different areas within the region, we calculated age- and gender-adjusted prevalence and prevalence ratios using a multivariate Poisson regression model. Crude prevalence rate was 130.5/100,000 (95 % CI 127.5-133.5): 89.7/100,000 for males and 167.9/100,000 for females. The overall prevalence rate standardized to the European Standard Population was 119.6/100,000 (95 % CI 116.8-122.4). We observed significant differences in MS prevalence within the region, with estimates ranging from 96.3 (95 % CI 86.4-107.3) for Latina to 169.6 (95 % CI 147.6-194.9) for Rieti. Most districts close to the coast showed lower prevalence estimates compared to those situated in the eastern mountainous area of the region. In conclusion, this study produced a MS prevalence estimate at regional level using population-based health administrative databases. Our results showed the Lazio region is a high-risk area for MS, although with an uneven geographical distribution. While some limitations must be considered including possible prevalence underestimation, HIS represent a valuable source of information to measure the burden of SM, useful for epidemiological surveillance and healthcare planning.