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Sagittal balance (SB) plays an important role in the surgical treatment of spinal disorders. The aim of this research study is to provide a detailed evaluation of a new, fully automated algorithm based on artificial intelligence (AI) for the determination of SB parameters on a large number of patients with and without instrumentation.Pre- and postoperative sagittal full body radiographs of 170 patients were measured by two human raters, twice by one rater and by the AI algorithm which determined: pelvic incidence, pelvic tilt, sacral slope, L1-S1 lordosis, T4-T12 thoracic kyphosis (TK) and the spino-sacral angle (SSA). To evaluate the agreement between human raters and AI, the mean error (95% confidence interval (CI)), standard deviation and an intra- and inter-rater reliability was conducted using intra-class correlation (ICC) coefficients.ICC values for the assessment of the intra- (range: 0.88-0.97) and inter-rater (0.86-0.97) reliability of human raters are excellent. The algorithm is able to determine all parameters in 95% of all pre- and in 91% of all postoperative images with excellent ICC values (PreOP-range: 0.83-0.91, PostOP: 0.72-0.89). Mean errors are smallest for the SSA (PreOP: -0.1° (95%-CI: -0.9°-0.6°); PostOP: -0.5° (-1.4°-0.4°)) and largest for TK (7.0° (6.1°-7.8°); 7.1° (6.1°-8.1°)).A new, fully automated algorithm that determines SB parameters has excellent reliability and agreement with human raters, particularly on preoperative full spine images. The presented solution will relieve physicians from time-consuming routine work of measuring SB parameters and allow the analysis of large databases efficiently.

This observational study was aimed at quantification of low back pain (LBP) in Parkinsonian patients and its morphological correlation. Parkinson’s disease (PD) is a common disabling condition in the elderly population. Parkinsonian patients frequently are troubled by LBP. Causes for LBP in PD are muscular imbalances by the movement disorder itself and skeletal degeneration. Ninety-seven PD patients and 97 controls were inquired about low back pain through the Oswestry Low Back Pain Disability Questionnaire and visual analogue scales. Fifty-four patients with LBP underwent X-ray of the lumbar spine in two planes and flexion–extension views. Parkinson’s disease was characterized by stage, disease duration, motor score, lateralization of symptoms and dosage of medication. LBP occurred significantly more frequent in PD (87.6%) compared to controls (62.6%) with longer duration and higher pain intensity. Pain intensity and disability scores were associated with higher PD stages and higher motor scores. Patients with the hypokinetic PD subtype experienced more pain intensity. X-ray of the lumbar spine revealed lumbar arthrosis in 79.6%, scoliosis in 38.8% and spondylolisthesis in 24.1% of PD patients with LBP. Lateralization of scoliosis and PD symptoms were significantly correlated. Only a small portion of PD patients with LBP received specialized orthopaedic treatment. LBP and lumbar degeneration are common in PD. Both are related to movement disorder symptoms. The knowledge about musculoskeletal conditions in Parkinson’s disease is important for an interdisciplinary conservative or operative treatment decision of LBP. These slides can be retrieved under Electronic Supplementary Material.

Background/Aims: Impaired immune function is common in patients with chronic renal failure. Now, we determined whether serum levels of free immunoglobulin light chains predict mortality in patients with chronic kidney disease stage 5 on hemodialysis. Methods: We performed a prospective cohort study of 160 hemodialysis patients with a median follow-up of 15 months (interquartile range, 3–44 months). Serum levels of free ĸ and λ immunoglobulin light chains were measured at the start of the study. The primary end point was mortality from any cause. Results: In survivors, median serum levels of free ĸ plus λ immunoglobulin light chains were significantly higher compared with nonsurvivors (p < 0.05). Survival was significantly longer in those patients who had serum levels of free ĸ plus λ immunoglobulin light chains above the median compared with patients with serum levels below the median of 210 mg/l (χ2 = 5.91; p = 0.015 by log-rank, Mantel-Cox, test). We performed univariate and multivariate regression analysis showing that older age and lower serum levels of free ĸ plus λ immunoglobulin light chains predicted mortality in hemodialysis patients. Conclusion: Higher serum levels of free ĸ plus λ immunoglobulin light chains ameliorate survival in hemodialysis patients.