Sociodemographic and Clinical Variables Associated with the Risk of Buruli Ulcer Acquisition: A Systematic Review and Meta-Analysis

2019 ◽  
Author(s):  
João Fevereiro ◽  
Nikta Sajjadi ◽  
Alexandra G. Fraga ◽  
Pedro M. Teixeira ◽  
Jorge Pedrosa
2020 ◽  
Vol 14 (4) ◽  
pp. e0008161
Author(s):  
João Fevereiro ◽  
Nikta Sajjadi ◽  
Alexandra G. Fraga ◽  
Pedro M. Teixeira ◽  
Jorge Pedrosa

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S217-S217
Author(s):  
Kira Griffiths ◽  
James MacCabe ◽  
Alice Egerton

Abstract Background Approximately one third of patients with schizophrenia display suboptimal response to two trials of non-clozapine antipsychotic medication and may be termed treatment resistant. Clozapine is the only licensed pharmacotherapy for treatment resistant schizophrenia, but response to clozapine is variable and can only be determined through a trial of treatment. Understanding demographic and clinical sources of varied response to clozapine may be useful in the optimisation of clinical treatment algorithms and stratification of patient groups for clinical trials of early use of clozapine. Methods We systematically reviewed literature to investigate clinical and demographic factors associated with variation in clozapine response. Articles were eligible for review if they reported differences in clozapine response as a function of baseline variables within patient samples of schizophrenia spectrum disorders. In a second step, a random-effects meta-analysis to study group mean differences in age, age of onset and duration of illness between clozapine responders and non-responders was performed. Results Thirty-one articles were eligible for qualitative review. The systematic review found that a poorer response to clozapine was associated with older age at clozapine initiation, younger age at illness onset and longer delay in clozapine initiation. A higher number of previous hospitalisations and antipsychotic trials prior to treatment with clozapine were also associated with poorer outcomes. Both systematic review and meta-analysis identified that longer durations of illness before clozapine initiation were associated with worse clinical outcomes. In a total sample of 313 participants (n = 158 responders), clozapine responders had a significantly shorter duration of illness than non-responders (g = - 0.31; 95% CI, 0.06 - 0.56; p = 0.02). Analysis was then limited to studies with a minimum follow-up period of 12 weeks to align with the recommended amount of time to monitor clozapine response. The difference in duration of illness between responder versus non-responder groups remained significant and overall effect size increased (g = - 0.42; 95% CI, 0.17 – 0.67; p < 0.001). Between study heterogeneity was low (Q = 3.59, I2 = 0%, P = 0.61). Discussion The results imply that delay in clozapine treatment is associated with worse response and support the view that initiation of clozapine earlier in illness may be beneficial. Although we cannot make causal assertions from the data presented, poor response to clozapine when prescribed after a longer delay is likely due to a combination of factors; including the effects of sustained active symptoms on neurobiological integrity, social functioning and self-care. Given evidence that early non-response to conventional antipsychotics predicts a later diagnosis of treatment resistance and poorer outcomes, identifying treatment resistance and prescribing clozapine earlier in the illness course would prevent unnecessary loss of time in the treatment of refractory psychosis. Current research into clinical variables associated with clozapine response is limited to few studies but future investigation into the predictive value of these variables is warranted. This is important given the relative ease and low-cost clinical information can be obtained from acutely unwell patient groups who may poorly tolerate more invasive research and clinical procedures.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Alan Cameron ◽  
Huen Ki Cheng ◽  
Ren Ping Lee ◽  
Pouria Khashayar ◽  
Mark Hall ◽  
...  

Introduction: Cardiac monitoring is performed to detect atrial fibrillation (AF) after stroke. Identifying patients at high or low risk of AF may allow cardiac monitoring approaches to be tailored on a more personalised basis. We performed a systematic review and meta-analysis to identify variables associated with AF detection after ischaemic stroke. Methods: We followed the Cochrane Collaboration Guidelines and retrieved 8503 studies. After screening, 35 studies were selected and 68 variables were assessed. We assessed 41 clinical variables, 20 ECG parameters and 7 blood biomarkers associated with AF detection >30 seconds duration in the first year after stroke. Comprehensive Meta-analysis software was used to generate an odds ratio and Forest plot for each variable. Studies were assessed for quality using the Quality in Prognostic Studies (QUIPS) tool. Results: The 35 studies included 12010 patients and AF was detected in 1551 patients (13%). Of the 68 variables assessed, 20 were associated with increased odds of AF, 5 were associated with reduced odds of AF and 43 were not associated with AF (Figure 1). The variables most strongly associated with AF detection (odds ratio >3.00) were older age, patients who received IV thrombolytic therapy, maximum P-wave duration, premature atrial complexes, P-wave dispersion, P-wave index, QTc interval and brain natriuretic peptide. Risk of bias was low in 3 studies, moderate in 24 studies and high in 8 studies. Conclusions: We have identified clinically applicable variables that can stratify the probability of AF detection after stroke. Our results will help guide more personalised approaches to cardiac monitoring for AF detection after stroke.


2013 ◽  
Vol 28 (14) ◽  
pp. 1987-1994 ◽  
Author(s):  
Sonia Franciosi ◽  
Yaein Shim ◽  
Margaret Lau ◽  
Michael R. Hayden ◽  
Blair R. Leavitt

2020 ◽  
Author(s):  
Hong-Long J Ji ◽  
Zhenlei Su ◽  
Runzhen Zhao ◽  
Andrey A Komissarov ◽  
Guohua Yi ◽  
...  

Background How aberrant fibrinolysis influences the clinical progression of COVID-19 presents a clinicopathological dilemma challenging intensivists. To investigate whether abnormal fibrinolysis is a culprit or protector or both, we associated elevated plasma D-dimer with clinical variables to identify a panoramic view of the derangements of fibrinolysis that contribute to the pathogenesis of COVID-19 based on studies available in the literature. Methods We performed this systematic review based on both meta-analysis and meta-regression to compute the correlation of D-dimer at admission with clinical features of COVID-19 patients in retrospective studies or case series. We searched the databases until Aug 18, 2020, with no limitations by language. The first hits were screened, data extracted, and analyzed in duplicate. We did the random-effects meta-analyses and meta-regressions (both univariate and multivariate). D-dimer associated clinical variables and potential mechanisms were schematically reasoned and graphed. Findings Our search identified 42 observational, or retrospective, or case series from six countries (n=14,862 patients) with all races and ages from 1 to 98-year-old. The weighted mean difference of D-dimer was 0.97 μg/mL (95% CI 0.65, 1.29) between relatively mild (or healthy control) and severely affected groups with significant publication bias. Univariate meta-regression identified 58 of 106 clinical variables were associated with plasma D-dimer levels, including 3 demographics, 5 comorbidies, 22 laboratory tests, 18 organ injury biomarkers, 8 severe complications, and 2 outcomes (discharge and death). Of these, 11 readouts were negatively associated with the level of plasma D-dimer. Further, age and gender were confounding factors for the identified D-dimer associated variables. There were 22 variables independently correlated with the D-dimer level, including respiratory rate, dyspnea plasma K+, glucose, SpO2, BUN, bilirubin, ALT, AST, systolic blood pressure, and CK. We thus propose that "insufficient hyperfibrinolysis (fibrinolysis is accelerated but unable to prevent adverse clinical impact for clinical deterioration COVID-19)" as a peculiar mechanism. Interpretation The findings of this meta-analysis- and meta-regression-based systematic review supports elevated D-dimer as an independent predictor for mortality and severe complications. D-dimer-associated clinical variables draw a landscape integrating the aggregate effects of systemically suppressive and locally (i.e., in the lung) hyperactive derangements of fibrinolysis. D-dimer and associated clinical biomarkers and conceptually parameters could be combined for risk stratification, potentially for tracking thrombolytic therapy or alternative interventions.


2021 ◽  
Author(s):  
Yali Wei ◽  
Yan Meng ◽  
Na Li ◽  
Qian Wang ◽  
Liyong Chen

The purpose of the systematic review and meta-analysis was to determine if low-ratio n-6/n-3 long-chain polyunsaturated fatty acid (PUFA) supplementation affects serum inflammation markers based on current studies.


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