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1.
Thromb Res ; 170: 60-68, 2018 10.
Article in English | MEDLINE | ID: mdl-30121005

ABSTRACT

BACKGROUND: Tissue factor pathway inhibitor (TFPI) antibodies, which have been reported in patients with antiphospholipid syndrome (APS), may impair TFPI activity and contribute to hypercoagulability, but their role in APS and in thrombosis remains undefined. OBJECTIVE/METHODS: We assessed the presence and avidity of TFPI IgG antibodies, associations with protein C IgG antibodies and associations with clinical disease severity, in 50 patients with thrombotic APS and 50 thrombotic control patients, on long term anticoagulation with warfarin. RESULTS: Thrombotic APS patients had a significantly higher prevalence of TFPI IgG antibodies (40%; 20/50) compared to thrombotic controls (18%; 9/50). TFPI antibodies were predominantly high avidity in APS (50%, 10/20 of positive patients) and strongly associated with a severe thrombotic phenotype (venous and arterial thromboembolism or recurrent thromboembolic episodes despite therapeutic anticoagulation) (odds ratio (OR): 12.0, 95%CI: 2.2-66.1, p = 0.004), while thrombotic control patients mainly showed low avidity antibodies (78%, 7/9 of positive patients). Coexistence of TFPI and protein C IgG antibodies, regardless of their avidity, was strongly associated with a more severe thrombotic phenotype in APS patients (OR: 20.2, 95%CI: 2.0-47.0, p < 0.0001) and also in thrombotic controls (OR: 75.0, 95%CI 1.2-195, p = 0.02). CONCLUSIONS: Coexistent TFPI and protein C IgG antibodies, irrespective of their avidity, may be a useful marker for a severe thrombotic phenotype in thrombotic patients. This suggests a possibly pathophysiological relationship between the two antibodies, predisposing to thrombosis with a possibly more general role in the development of thrombotic complications.


Subject(s)
Antiphospholipid Syndrome/immunology , Blood Coagulation Tests/methods , Lipoproteins/adverse effects , Protein C/adverse effects , Cross-Sectional Studies , Female , Humans , Lipoproteins/metabolism , Male , Middle Aged , Phenotype , Protein C/metabolism
2.
Acta Neurol Scand ; 137(6): 566-574, 2018 Jun.
Article in English | MEDLINE | ID: mdl-29377062

ABSTRACT

BACKGROUND: Side effects of anti-epileptic drugs (AEDs) have not been adequately documented in trigeminal neuralgia and its variants. The aim of this observational cross-sectional study was to compare the A-B Neuropsychological Assessment Schedule (ABNAS), which measures cognitive side effects to the Adverse Events Profile (AEP), which looks at a broader range of side effects, and to investigate drug/dosage relationships with questionnaire scores to help determine a point at which a drug change would be indicated. METHODS: One hundred five patients were recruited from a facial pain clinic, over a 10-month period. Self-complete questionnaire scores were compared between patients using different AEDs. RESULTS: A-B Neuropsychological Assessment Schedule score correlated well with AEP indicating that cognitive side effects were a significant burden. Toxic range on the ABNAS was estimated to occur when scores were >43/72 (95% CI: 37.4-48.6). Polytherapy is weakly associated with the higher scores. Oxcarbazepine dosage was found to linearly correlate with AEP and ABNAS scores, better than carbamazepine dosage. Memory alteration was least common with lamotrigine and oxcarbazepine, and there was less association between fatigues with oxcarbazepine/pregabalin. CONCLUSION: Anti-epileptic drugs have significant side effects. The ABNAS questionnaire is a useful tool along with the AEP to recognize and monitor AEDs' side effects and to help to adjust medications to optimal dosage.


Subject(s)
Anticonvulsants/adverse effects , Neuropsychological Tests , Pain Measurement/methods , Trigeminal Neuralgia/drug therapy , Adult , Aged , Anticonvulsants/therapeutic use , Carbamazepine/adverse effects , Carbamazepine/analogs & derivatives , Carbamazepine/therapeutic use , Cross-Sectional Studies , Fatigue/chemically induced , Fatigue/psychology , Female , Humans , Lamotrigine , Male , Memory Disorders/chemically induced , Memory Disorders/psychology , Middle Aged , Oxcarbazepine , Pain Measurement/drug effects , Triazines/adverse effects , Triazines/therapeutic use , Trigeminal Neuralgia/psychology
3.
Int J Surg Protoc ; 6: 1-4, 2017.
Article in English | MEDLINE | ID: mdl-31851729

ABSTRACT

BACKGROUND: Spontaneous Stone Passage (SSP) rates in acute ureteric colic range from 47 to 75%. There is conflicting evidence on the role of raised inflammatory markers in acute ureteric colic. The use of an easily applicable biomarker that could predict SSP or need for intervention would improve the management of obstructing ureteric stones. Thus, there is a need to determine in an appropriately powered study, in patients who are initially managed conservatively, which factors at the time of acute admission can predict subsequent patient outcome such as SSP and the need for intervention. Particularly, establishing whether levels of white cell count (WBC) at presentation are associated with likelihood of SSP or intervention may guide clinicians on the management of these patients' stones. DESIGN: Multi-center cohort study disseminated via the UK British Urology Researchers in Surgical Training (BURST) and Australian Young Urology Researchers Organisation (YURO). PRIMARY RESEARCH QUESTION: What is the association between WBC and SSP in patients discharged from emergency department after initial conservative management? PATIENT POPULATION: Patients who have presented with acute renal colic with CT KUB evidence of a solitary ureteric stone. A minimum sample size of 720 patients across 15 centres will be needed. HYPOTHESIS: A raised WBC is associated with decreased odds of spontaneous stone passage. PRIMARY OUTCOME: The occurrence of SSP within six months of presentation with acute ureteric colic (YES/NO). SSP was defined as absence of need for intervention to assist stone passage. STATISTICAL ANALYSIS PLAN: A multivariable logistic regression model will be constructed, where the outcome of interest is SSP using data from patients who do not undergo intervention at presentation. A random effect will be used to account for clustering of patients within hospitals/institutions. The model will include adjustments for gender, age as control variables.

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