The aim of the present study was to assess the effect of posterior decompression, fusion and fixation in the treatment of spinal gout. Spinal gout is a disease of gouty arthritis involving the spine, ...which can affect all segments of the spine. At present, the etiology and pathogenesis of spinal gout are not clear, and there are no definite methods for the treatment of spinal gout.
This was a case series of seven patients (seven men) who underwent posterior decompression, fusion and fixation in the treatment of spinal gout between January 2016 and January 2020. Physical examination, radiography, CT, MRI, Japanese Orthopaedic Association (JOA) score and visual analog scale (VAS) score were used to evaluate the effect of this procedure. All patients were followed up every 3 months. The evaluation time point was 12 months after the operation. Comparisons of the functional indexes of the patients before and after the operation were performed using SPSS 22.0 (IBM, Armonk, NY, USA).
The JOA score was 13.43 ± 6.55 and the VAS score was 7.43 ± 1.51 preoperatively. The JOA score was 24.43 ± 3.74 and the VAS score was 0.86 ± 0.90 postoperatively at 12 months after surgery. At 12 months after surgery, the JOA and VAS score showed significant improvements when compared with those before surgery (P = 0.004 and P = 0.002, respectively). None of the patients had re-surgery of the gout due to actively and reasonably controlling uric acid. No loosening or displacement of screws was reported. There was only one screw tail cap loosening. Radiographic examination revealed that there was no obvious accumulation of gout or surrounding bone destruction, and the segmental instability was significantly improved. There was no progressive aggravation of neurological symptoms of the seven patients.
Posterior approach decompression, fusion and fixation can stabilize the vertebral body, remove gout and directly relieve local spinal cord compression. The method is a reliable surgical choice for the treatment of spinal gout.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Abstract
In this paper, the distribution of relaxation times (DRTs) functions are calculated numerically in Matlab for synthetic impedance data from single parallel
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circuit and two parallel
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circuits connected in series, experimental impedance data from supercapacitors and α-LiFeO
2
anode based Li ion batteries. The quality of the impedance data is checked with the Kramers–Krönig (KK) relations. The DRTs are calculated within the KK compatible regime for all the systems using Tikhonov regularization (TR) method. Here we use a fast and simple L-curve method to estimate the TR parameter (λ) for regularization of the Fredholm integral equations of first kind in impedance. Estimation of the regularization parameters are performed effectively from the offset of the global corner of the L-curve rather than simply using the global corner. The physical significances of DRT peaks are also discussed by calculating the effective resistances and capacitances coupled with peak fitting program. For instance, two peaks in the DRTs justify the electrical double layer capacitance and ion diffusion phenomena for supercapacitors in low to intermediate frequencies respectively. Moreover, the surface film effect, Li/electrolyte and electrode/electrolyte charge transfer related processes are identified for α-LiFeO
2
anode based Li-ion batteries. This estimation of the offset of the global corner extends the L-curve approach coupled with the Tikhonov regularization in the field of electrochemistry and can also be applied in similar process detection methods.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Background and purpose
Restless legs syndrome (RLS) is an underestimated movement disorder in patients with end‐stage renal disease (ESRD). Several clinical and laboratory factors were inconsistently ...reported to associate with RLS. We aim to perform a large‐scale multicenter study to investigate the possible associated risk factors of RLS in patients with ESRD in Taiwan, a country with the highest incidence of uremia in the world.
Methods
From October 2009 to October 2011, we constitutively recruited 1130 patients with ESRD from 17 hemodialysis centers. Demographic, laboratory data, presence and severity of RLS were collected. Odds ratios (ORs) were estimated by logistic regression models.
Results
We found the prevalence of RLS to be 25.3% in patients with ESRD. Having type 2 diabetes OR = 3.61 (2.27–5.77), P < 0.01, low serum transferrin saturation OR = 1.42 (1.01–2.03), P < 0.05 and duration of dialysis OR = 1.09 (1.03–1.14), P < 0.01 were associated with RLS. In contrast, high serum hemoglobin level was inversely associated with RLS OR = 0.61 (0.40–0.89), P < 0.05. RLS has a significant impact on sleep quality in dialysis patients. Among patients with RLS, history of type 2 diabetes OR = 4.04 (1.65–10.79), P < 0.05, low serum hemoglobin level OR = 5.41 (2.43–13.12), P < 0.01 and duration of dialysis OR = 1.01 (1.01–1.02), P < 0.01 were associated with increased severity of RLS.
Conclusions
Our findings demonstrated that RLS is common in Taiwanese dialysis patients. Clinicians should have a high suspicion for the presence of RLS symptoms in patients with ESRD, especially those with type 2 diabetes, anemia, low serum iron status and long duration of dialysis.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
Background
Postoperative complications have a great impact on the postoperative course and oncological outcomes following major cancer surgery. Among them, infective complications play an important ...role. The aim of this study was to evaluate whether postoperative infective complications influence long‐term survival after liver resection for hepatocellular carcinoma (HCC).
Methods
Patients who underwent resection with curative intent for HCC between July 2003 and June 2016 were identified from a multicentre database (8 institutions) and analysed retrospectively. Independent risk factors for postoperative infective complications were identified. After excluding patients who died 90 days or less after surgery, overall survival (OS) and recurrence‐free survival (RFS) were compared between patients with and without postoperative infective complications within 30 days after resection.
Results
Among 2442 patients identified, 332 (13·6 per cent) had postoperative infective complications. Age over 60 years, diabetes mellitus, obesity, cirrhosis, intraoperative blood transfusion, duration of surgery exceeding 180 min and major hepatectomy were identified as independent risk factors for postoperative infective complications. Univariable analysis revealed that median OS and RFS were poorer among patients with postoperative infective complications than among patients without (54·3 versus 86·8 months, and 22·6 versus 43·2 months, respectively; both P < 0·001). After adjustment for other prognostic factors, multivariable Cox regression analyses identified postoperative infective complications as independently associated with decreased OS (hazard ratio (HR) 1·20, 95 per cent c.i. 1·02 to 1·41; P = 0·027) and RFS (HR 1·19, 1·03 to 1·37; P = 0·021).
Conclusion
Postoperative infective complications decreased long‐term OS and RFS in patients treated with liver resection for HCC.
From a multi‐institutional database, 2442 patients who underwent resection with curative intent for hepatocellular carcinoma between 2003 and 2016 were analysed retrospectively. Among them, 332 patients (13·6 per cent) had postoperative infective complications within 30 days after surgery. Multivariable Cox regression revealed that postoperative infective complications decreased long‐term overall and recurrence‐free survival after liver resection for hepatocellular carcinoma.
Complications decrease long‐term overall survival
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
This letter proposes a two-layer active disturbance rejection control (ADRC) method with the compensation of estimated equivalent input disturbances (EID) for load frequency control (LFC) of ...multi-area interconnected power system. This method has a capability of rejecting the effects of random load variations and parameter uncertainties, and guaranteeing high dynamic performance. The state-space model of LFC system is established. Then a full-order generalized state observer (GSO) is employed in ADRC system to estimate EID. A stability condition is derived based on the small-gain theory. Simulation results demonstrate the robust performance of the proposed method, by comparing with traditional one.
Oestradiol establishes neural sex differences in many vertebrates
and modulates mood, behaviour and energy balance in adulthood
. In the canonical pathway, oestradiol exerts its effects through the ...transcription factor oestrogen receptor-α (ERα)
. Although ERα has been extensively characterized in breast cancer, the neuronal targets of ERα, and their involvement in brain sex differences, remain largely unknown. Here we generate a comprehensive map of genomic ERα-binding sites in a sexually dimorphic neural circuit that mediates social behaviours. We conclude that ERα orchestrates sexual differentiation of the mouse brain through two mechanisms: establishing two male-biased neuron types and activating a sustained male-biased gene expression program. Collectively, our findings reveal that sex differences in gene expression are defined by hormonal activation of neuronal steroid receptors. The molecular targets we identify may underlie the effects of oestradiol on brain development, behaviour and disease.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Objectives
To investigate the discriminative ability and diagnostic accuracy of the Timed Up and Go Test (TUG) as a clinical screening instrument for identifying older people at risk of falling.
...Design
Systematic literature review and meta‐analysis.
Setting and Participants
People aged 60 and older living independently or in institutional settings.
Measurements
Studies were identified with searches of the PubMed, EMBASE, CINAHL, and Cochrane CENTRAL data bases. Retrospective and prospective cohort studies comparing times to complete any version of the TUG of fallers and non‐fallers were included.
Results
Fifty‐three studies with 12,832 participants met the inclusion criteria. The pooled mean difference between fallers and non‐fallers depended on the functional status of the cohort investigated: 0.63 seconds (95% confidence (CI) = 0.14–1.12 seconds) for high‐functioning to 3.59 seconds (95% CI = 2.18–4.99 seconds) for those in institutional settings. The majority of studies did not retain TUG scores in multivariate analysis. Derived cut‐points varied greatly between studies, and with the exception of a few small studies, diagnostic accuracy was poor to moderate.
Conclusion
The findings suggest that the TUG is not useful for discriminating fallers from non‐fallers in healthy, high‐functioning older people but is of more value in less‐healthy, lower‐functioning older people. Overall, the predictive ability and diagnostic accuracy of the TUG are at best moderate. No cut‐point can be recommended. Quick, multifactorial fall risk screens should be considered to provide additional information for identifying older people at risk of falls.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
BACKGROUND:Endothelial cells (ECs) display considerable functional heterogeneity depending on the vessel and tissue in which they are located. Whereas these functional differences are presumably ...imprinted in the transcriptome, the pathways and networks that sustain EC heterogeneity have not been fully delineated.
METHODS:To investigate the transcriptomic basis of EC specificity, we analyzed single-cell RNA sequencing data from tissue-specific mouse ECs generated by the Tabula Muris consortium. We used a number of bioinformatics tools to uncover markers and sources of EC heterogeneity from single-cell RNA sequencing data.
RESULTS:We found a strong correlation between tissue-specific EC transcriptomic measurements generated by either single-cell RNA sequencing or bulk RNA sequencing, thus validating the approach. Using a graph-based clustering algorithm, we found that certain tissue-specific ECs cluster strongly by tissue (eg, liver, brain), whereas others (ie, adipose, heart) have considerable transcriptomic overlap with ECs from other tissues. We identified novel markers of tissue-specific ECs and signaling pathways that may be involved in maintaining their identity. Sex was a considerable source of heterogeneity in the endothelial transcriptome and we discovered Lars2 to be a gene that is highly enriched in ECs from male mice. We found that markers of heart and lung ECs in mice were conserved in human fetal heart and lung ECs. We identified potential angiocrine interactions between tissue-specific ECs and other cell types by analyzing ligand and receptor expression patterns.
CONCLUSIONS:We used single-cell RNA sequencing data generated by the Tabula Muris consortium to uncover transcriptional networks that maintain tissue-specific EC identity and to identify novel angiocrine and functional relationships between tissue-specific ECs.
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