The diagnostic value of blood metagenomic next-generation sequencing in patients with acute hematogenous osteomyelitis

AimsThis study aims to evaluate the diagnostic value of blood metagenomic next-generation sequencing (mNGS) in detecting pathogens from patients clinically diagnosed as acute hematogenous osteomyelitis (AHO).MethodsThis retrospective study enrolled 66 patients with AHO. The test results of mNGS and bacterial culture on different samples, including blood and puncture fluid samples, from patients with AHO were compared to explore the diagnostic value of blood mNGS. Besides, this study also explored the efficacy of blood mNGS in decision making for antibiotic administration and analyzed the factors associated with the positive result of blood mNGS.ResultsThe most common causative pathogens were Staphylococcus and Streptococcus. The sensitivity of blood mNGS (77.3%) was higher than that of blood culture (42.4%) (P<0.001), while the turnaround time of blood mNGS (2.1 ± 0.4 d) is much less than that of blood culture (6.0 ± 2.1 d) (P<0.001). Besides, the sensitivity of blood mNGS tests (77.3%) was slightly lower than that of puncture fluid mNGS (89.4%). Furthermore, detection comparison at pathogen level unravels that blood mNGS might be suitable for diagnosing AHO caused by common pathogens, while puncture fluid mNGS could be considered as preferred examination in diagnosing AHO caused by uncommon pathogens. Finally, three independent factors associated with the true positive result of blood mNGS in patients with AHO were identified, including Gram-positive pathogens (OR=24.4, 95% CI = 1.4-421.0 for Staphylococcus; OR=14.9, 95%CI= 1.6-136.1 for other Gram-positive bacteria), body temperature at sampling time (OR=8.2, 95% CI = 0.6-107.3 for body temperature of >38.5°C; OR=17.2, 95% CI = 2.0-149.1 for patients who were chilling), and no use of antibiotics before sampling (OR=8.9, 95% CI =1.4-59.0).ConclusionThis is the first report on evaluating and emphasizing the importance of blood mNGS in diagnosing AHO. Blood sample might be an alternative sample for puncture fluid for mNGS, and its extensive application in diagnosing AHO could be expected

Comparison of minimally-invasive fibular supporting of T-type with traditional bloody iliac flap metastasis for osteonecrosis of the femoral head at ARCO stage II

Purpose: Our research mainly evaluates the clinical efficacy of two surgical methods in the treatment of osteonecrosis of the femoral head (ONFH) at ARCO stage II, aiming to provide optimal hip-preserving treatment of ONFH. Method: From October 2018 to September 2020, 48 patients (59 hips) met the inclusion criteria and randomized. 24 cases (29 hips) in experimental group were treated with minimally-invasive fibular supporting of T-type; 24 cases (30 hips) in control group were treated with traditional bloody iliac flap metastasis. We will compare some intraoperative and postoperative conditions. Result: The operation time in experimental group was 37 (6) minutes, in control group was 130 (21.75) minutes; the length of surgical incision in two groups was 3.7 (0.7) cm and 12.85 (2.68) cm. The intraoperative blood loss in two groups was 69 (21) ml and 363 (87) ml; the postoperative VAS score of the experimental group on day 1, day 3, day 7 after surgery was 5.5 (2), 3.5 (1), 0 (1); the control group was 6 (1.75), 4 (1), 3 (1). The data differences between above groups have statistically significant. The follow-up time of two groups was (33.86 ± 5.66) months and (35.67 ± 4.69) months. The bone graft healing time in two groups was (14.21 ± 1.93) months and (13.83 ± 2.34) months. The Harris hip scores of two groups at the last follow-up were 90 (7.5) and 86.5 (8.5). The survival rates of two groups were 79.31% (23/29) and 76.67% (23/30). The difference was no statistically significant in above groups (P > 0.05). Conclusion: The two different bone graft implantation showed satisfactory early outcomes. Compared to the control group, the experimental group has the advantages of lesser pain, lesser blood loss, lesser trauma and shorter operation time. It may be a choice as bone graft for the treatment of ONFH at early stage

Biomechanical study of three kinds of internal fixation for the treatment of sacroiliac joint disruption using biomechanical test and finite element analysis

Abstract Background To compare the stability of sacroiliac joint disruption fixed with three kinds of internal fixation using both biomechanical test and finite element analysis. Methods Five embalmed specimens of an adult were used. The symphysis pubis rupture and left sacroiliac joint disruption were created. The symphysis pubis was stabilized with a five-hole plate. The sacroiliac joint disruption was fixed with three kinds of internal fixation in a randomized design. Displacements of the whole specimen and shifts in the gap were recorded. Three-dimensional finite element models of the pelvis, the pelvis with symphysis pubis rupture and left sacroiliac joint disruption, and three kinds of internal fixation techniques were created and analyzed. Results Under the vertical load, the displacements and shifts in the gap of the pelvis fixed with minimally invasive adjustable plate (MIAP) combined with one iliosacral (IS) screw were the smallest, and the average displacements of the pelvis fixed with an anterior plate were the largest one. The differences among them were significant. In finite element analysis and MIAP combined with one IS screw fixation showed relatively best fixation stability and lowest risks of implant failure than two IS screws fixation and anterior plate fixation. Conclusion The stability of sacroiliac joint disruption fixed with MIAP combined with one IS screw is better than that fixed with two IS screws and anterior plate under vertical load

Graphminer: a structural pattern-mining system for large disk-based graph databases and its applications

Mining frequent structural patterns from graph databases is an important research problem with broad applications. Recently, we developed an effective index structure, ADI, and efficient algorithms for mining frequent patterns from large, disk-based graph databases [5], as well as constraint-based mining techniques. The techniques have been integrated into a research prototype system—GraphMiner. In this paper, we describe a demo of GraphMiner which showcases the technical details of the index structure and the mining algorithms including their efficient implementation, the mining performance and the comparison with some state-of-the-art methods, the constraint-based graph-pattern mining techniques and the procedure of constrained graph mining, as well as mining real data sets in novel applications. 1. BACKGROUND Mining frequent graph patterns is an interesting research problem with broad applications, including mining structural patterns from chemical compound databases, plan databases, XML documents, web logs, citation networks, and social networks. Several efficient algorithms were proposed in the previous studies [1, 2, 3, 4, 7, 6], ranging from mining graph patterns, with and without constraints, to mining closed graph patterns. Most of the existing methods assume implicitly or explicitly that the graph databases to be mined are not very large so that they can be held in (main) memory and the graphs in the databases are relatively simple. That is, either th