Publications by authors named "D Samartzis"
Article Synopsis
- This study investigated the relationship between ABO blood types and the risk of postoperative adjacent segment degeneration (ASD) after lumbar spine fusion surgery.
- It included 445 patients with various blood types and assessed factors like spinopelvic alignment, perioperative care, and patient outcomes, finding no significant differences in recovery and complications based on blood type, except for increased epidural hematomas in A+ patients.
- The research concluded that ABO blood type is a non-modifiable risk factor linked to a higher likelihood of developing ASD, particularly in B+ patients, marking a significant first step in understanding this association.
Article Synopsis
- Lumbar degenerative spondylolisthesis (LDS) is a condition involving spinal instability due to intervertebral disc degeneration and facet joint changes, leading to pain and potential surgery, but its causes are not well understood.
- This study examined the relationship between gut microbiome dysbiosis (an imbalance of gut bacteria) and spine health in symptomatic patients with and without LDS by analyzing fecal samples.
- Findings indicated that patients with LDS showed more severe disc degeneration, distinct gut microbiome structures, and a higher ratio of pro-inflammatory bacteria compared to those without LDS, suggesting a possible link between gut health and spinal conditions.
Purpose: The aim of this study was to summarize the evidence regarding whether pain reduction in individuals with chronic non-specific low back pain (CNSLBP) following conservative interventions is related to corresponding improvements in balance control.
Methods: Randomized controlled trials were identified from 5 databases (MEDLINE, Cochrane Library, Embase, Web of Science, and PsycINFO). Two reviewers independently screened and identified relevant studies that investigated the effects of non-surgical or non-pharmacological CNSLBP treatments on both pain intensity and balance control.
In silico clinical trials, particularly when augmented with artificial intelligence methods, represent an innovative approach with much to offer, particularly in the musculoskeletal field. They are a cost-effective, efficient, and ethical means of evaluating treatments and interventions by supplementing and/or augmenting traditional randomized controlled trials (RCTs). While they are not a panacea and should not replace traditional RCTs, their integration into the research process promises to accelerate medical advancements and improve patient outcomes.
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