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To assess the ability of dual-energy computed tomography (DECT) in identifying early calcium crystal deposition in menisci and articular cartilage of the knee, depending on the presence/absence of chondrocalcinosis seen on conventional CT.
One hundred thirty-two knee DECT scans from patients with suspected crystal-associated arthropathy were reviewed and assigned to a calcium pyrophosphate deposition (CPPD) group (n = 50) or a control group (n = 82). Five DECT attenuation parameters were measured in preset regions of interest (ROIs) in menisci and articular cartilage and compared between groups using linear mixed models with adjustment for confounders. Subgroup analysis, excluding ROIs with chondrocalcinosis seen on conventional CT, was performed.
In both menisci and articular cartilage, and for all 5 DECT attenuation parameters, calcified ROIs in CPPD patients showed significantly higher values than ROIs in controls (P ≤ 0.036). Conversely, noncalcified ROIs in CPPD patients were comparable with those in controls (P ≥ 0.09). While specific DECT parameters yielded good accuracy (area under the curve [AUC] 0.87-0.88) in differentiating calcified ROIs in CPPD patients from ROIs in controls, DECT failed to distinguish between noncalcified ROIs in CPPD patients and controls (AUC 0.58-0.59).
While DECT has the potential to characterize knee intraarticular mineralization, this technique cannot yet accurately identify early calcium crystal deposition that is not visible as chondrocalcinosis on conventional CT.
While DECT has the potential to characterize knee intraarticular mineralization, this technique cannot yet accurately identify early calcium crystal deposition that is not visible as chondrocalcinosis on conventional CT.
The aim of this study was to evaluate the Hemoclot Quanti. V-L assay in various clinical conditions.
We compared the Hemoclot Quanti.V-L assay with DNA testing and with the Pefakit assay in 60 normal (no mutation) vs carriers of the factor V (FV) Leiden mutation (56 heterozygous and three homozygous). We further investigated the interference of lupus anticoagulant on test results in normal and heterozygous individuals and of direct oral anticoagulants (DOACs) at trough and peak levels. Additionally, DOAC-Remove was tested in samples containing DOACs at peak levels. We further evaluated the influence of FV deficiency on this quantitative assay.
There was a 100% agreement between the Quant. V-L assay and DNA testing in 60 normal individuals. However, 1.85% of heterozygous and 33% of homozygous samples were falsely classified with the quantitative assay, and no misclassification was observed with the Pefakit assay. Lupus anticoagulant did not influence the test results of the quantitative assay. DOACs also interfered with test results in heterozygous patients, but this effect was prevented with the DOAC-Remove procedure. Even mild FV deficiency affected the test results of the quantitative assay in heterozygous patients leading either to misclassification or the need for subsequent PCR testing.
The quantitative FV-L assay has several limitations, especially FV deficiency and the presence of DOACs have to be ruled out before running this quantitative assay.
The quantitative FV-L assay has several limitations, especially FV deficiency and the presence of DOACs have to be ruled out before running this quantitative assay.We undertook a prospective, matched cohort study of patients with Staphylococcus aureus bacteremia (SAB) and gram-negative bacteremia (GNB) to compare the characteristics, outcomes, and chemokine and cytokine response in transplant recipients to immunocompetent, nontransplant recipients. Fifty-five transplant recipients (GNB n = 29; SAB n = 26) and 225 nontransplant recipients (GNB n = 114; SAB n = 111) were included for clinical analysis. Transplant GNB had a significantly lower incidence of septic shock than nontransplant GNB (10.3% vs 30.7%, p = .03). Thirty-day mortality did not differ significantly between transplant and nontransplant recipients with GNB (10.3% vs 15.8%, p = .57) or SAB (0.0% vs 11.7%, p = .13). Next, transplant patients were matched 11 with nontransplant patients for the chemokine and cytokine analysis. Five cytokines and chemokines were significantly lower in transplant GNB vs nontransplant GNB IL-2 (median [IQR] 7.1 pg/ml [7.1, 7.1] vs 32.6 pg/ml [7.1, 88.0]; p = .001), MIP-1β (30.7 pg/ml [30.7, 30.7] vs 243.3 pg/ml [30.7, 344.4]; p = .001), IL-8 (32.0 pg/ml [5.6, 53.1] vs 59.1 pg/ml [39.2, 119.4]; p = .003), IL-15 (12.0 pg/ml [12.0, 12.0] vs 12.0 pg/ml [12.0, 126.7]; p = .03), and IFN-α (5.1 pg/mL [5.1, 5.1] vs 5.1 pg/ml [5.1, 26.3]; p = .04). https://www.selleckchem.com/products/AZD8055.html Regulated upon Activation, Normal T Cell Expressed and Secreted (RANTES) was higher in transplant SAB vs nontransplant SAB (mean [SD] 750.2 pg/ml [194.6] vs 656.5 pg/ml [147.6]; p = .046).
This meta-analysis aimed to assess the overall effect of therapeutic pain neuroscience education (TPNE) on chronic musculoskeletal pain and to further assess whether such an effect differs by TPNE dosage as well as other treatment format components. Dosage included the number of TPNE sessions provided as well as the amount of time per TPNE session. Structural components included TPNE provided alone as treatment or combined with other pain management modalities, as well as the inclusion of group-based treatment sessions.
Electronic databases were utilized to search for randomized controlled trials that included TPNE. The overall effectiveness of TPNE was estimated on 4 pain outcome measures, including kinesiophobia, pain intensity, pain disability, and pain catastrophizing. The differential effectiveness of TPNE was examined using a mixed-methods moderator analysis on various study-level characteristics to identify potential moderators affecting the overall results.
Significant effects of TPNE were foundThis meta-analysis examined the efficacy of TPNE for patients with chronic pain. It assessed various pain outcome measures following intervention. In addition, this research identified that various moderator variables do not have and do have an impact on the treatment modality of TPNE.