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Dive into the research topics where Luis Furuya-Kanamori is active.

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Featured researches published by Luis Furuya-Kanamori.


BMC Infectious Diseases | 2015

Asymptomatic Clostridium difficile colonization: epidemiology and clinical implications

Luis Furuya-Kanamori; John Marquess; Laith Yakob; Thomas V. Riley; David L. Paterson; Niki F. Foster; Charlotte A. Huber; Archie Clements

BackgroundThe epidemiology of Clostridium difficile infection (CDI) has changed over the past decades with the emergence of highly virulent strains. The role of asymptomatic C. difficile colonization as part of the clinical spectrum of CDI is complex because many risk factors are common to both disease and asymptomatic states. In this article, we review the role of asymptomatic C. difficile colonization in the progression to symptomatic CDI, describe the epidemiology of asymptomatic C. difficile colonization, assess the effectiveness of screening and intensive infection control practices for patients at risk of asymptomatic C. difficile colonization, and discuss the implications for clinical practice.MethodsA narrative review was performed in PubMed for articles published from January 1980 to February 2015 using search terms ‘Clostridium difficile’ and ‘colonization’ or ‘colonisation’ or ‘carriage’.ResultsThere is no clear definition for asymptomatic CDI and the terms carriage and colonization are often used interchangeably. The prevalence of asymptomatic C. difficile colonization varies depending on a number of host, pathogen, and environmental factors; current estimates of asymptomatic colonization may be underestimated as stool culture is not practical in a clinical setting.ConclusionsAsymptomatic C. difficile colonization presents challenging concepts in the overall picture of this disease and its management. Individuals who are colonized by the organism may acquire protection from progression to disease, however they also have the potential to contribute to transmission in healthcare settings.


Infection Control and Hospital Epidemiology | 2015

Comorbidities, Exposure to Medications, and the Risk of Community-Acquired Clostridium difficile Infection: A Systematic Review and Meta-analysis

Luis Furuya-Kanamori; Jennifer C. Stone; Justin Clark; Samantha J. McKenzie; Laith Yakob; David L. Paterson; Thomas V. Riley; Suhail A. R. Doi; Archie Clements

BACKGROUND Clostridium difficile infection (CDI) has been extensively described in healthcare settings; however, risk factors associated with community-acquired (CA) CDI remain uncertain. This study aimed to synthesize the current evidence for an association between commonly prescribed medications and comorbidities with CA-CDI. METHODS A systematic search was conducted in 5 electronic databases for epidemiologic studies that examined the association between the presence of comorbidities and exposure to medications with the risk of CA-CDI. Pooled odds ratios were estimated using 3 meta-analytic methods. Subgroup analyses by location of studies and by life stages were conducted. RESULTS Twelve publications (n=56,776 patients) met inclusion criteria. Antimicrobial (odds ratio, 6.18; 95% CI, 3.80-10.04) and corticosteroid (1.81; 1.15-2.84) exposure were associated with increased risk of CA-CDI. Among the comorbidities, inflammatory bowel disease (odds ratio, 3.72; 95% CI, 1.52-9.12), renal failure (2.64; 1.23-5.68), hematologic cancer (1.75; 1.02-5.68), and diabetes mellitus (1.15; 1.05-1.27) were associated with CA-CDI. By location, antimicrobial exposure was associated with a higher risk of CA-CDI in the United States, whereas proton-pump inhibitor exposure was associated with a higher risk in Europe. By life stages, the risk of CA-CDI associated with antimicrobial exposure greatly increased in adults older than 65 years. CONCLUSIONS Antimicrobial exposure was the strongest risk factor associated with CA-CDI. Further studies are required to investigate the risk of CA-CDI associated with medications commonly prescribed in the community. Patients with diarrhea who have inflammatory bowel disease, renal failure, hematologic cancer, or diabetes are appropriate populations for interventional studies of screening.


Journal of Clinical Oncology | 2016

Prevalence of Differentiated Thyroid Cancer in Autopsy Studies Over Six Decades: A Meta-Analysis

Luis Furuya-Kanamori; Katy J. L. Bell; Justin Clark; Paul Glasziou; Suhail A. R. Doi

PURPOSE Differentiated thyroid cancer (DTC) incidence has been reported to have increased three- to 15-fold in the past few decades. It is unclear whether this represents overdiagnosis or a true increase in incidence. Therefore, the current study aimed to estimate the prevalence of incidental DTC in published autopsy series and determine whether this prevalence has been increasing over time. MATERIALS AND METHODS PubMed, Embase, and Web of Science were searched from inception to December 2015 for relevant studies. Two authors searched for all autopsy studies that had included patients with no known history of thyroid pathology and reported the prevalence of incidental DTC (iDTC). Two authors independently extracted the data, and discrepancies were resolved by another author. The pooled prevalence of iDTC was assessed using a fixed-effects meta-analysis model with robust error variance. The time effect was studied using an inverse-variance weighted logit-linear regression model with robust error variance and a time variable. RESULTS Thirty-five studies, conducted between 1949 and 2007, met the inclusion criteria and contributed 42 data sets and 12,834 autopsies. The prevalence of iDTC among the partial and whole examination subgroups was 4.1% (95% CI, 3.0% to 5.4%) and 11.2% (95% CI, 6.7% to 16.1%), respectively. Once the intensiveness of thyroid examination was accounted for in the regression model, the prevalence odds ratio stabilized from 1970 onward, and no time effect was observed. CONCLUSION The current study confirms that iDTC is common, but the observed increasing incidence is not mirrored by prevalence within autopsy studies and, therefore, is unlikely to reflect a true population-level increase in tumorigenesis. This strongly suggests that the current increasing incidence of iDTC most likely reflects diagnostic detection increasing over time.


World Journal of Emergency Surgery | 2015

WSES guidelines for management of Clostridium difficile infection in surgical patients

Massimo Sartelli; Mark A. Malangoni; Fikri M. Abu-Zidan; Ewen A. Griffiths; Stefano Di Bella; Lynne V. McFarland; Ian Eltringham; Vishal G. Shelat; George C. Velmahos; Ciaran P. Kelly; Sahil Khanna; Zaid M. Abdelsattar; Layan Alrahmani; Luca Ansaloni; Goran Augustin; Miklosh Bala; Frédéric Barbut; Offir Ben-Ishay; Aneel Bhangu; Walter L. Biffl; Stephen M. Brecher; Adrián Camacho-Ortiz; Miguel Caínzos; Laura A. Canterbury; Fausto Catena; Shirley Chan; Jill R. Cherry-Bukowiec; Jesse Clanton; Federico Coccolini; Maria Elena Cocuz

In the last two decades there have been dramatic changes in the epidemiology of Clostridium difficile infection (CDI), with increases in incidence and severity of disease in many countries worldwide. The incidence of CDI has also increased in surgical patients. Optimization of management of C difficile, has therefore become increasingly urgent. An international multidisciplinary panel of experts prepared evidenced-based World Society of Emergency Surgery (WSES) guidelines for management of CDI in surgical patients.


Perspectives on Psychological Science | 2016

Angry birds, angry children, and angry meta-analysts: a reanalysis

Luis Furuya-Kanamori; Suhail A. R. Doi

Ferguson’s (2015a) meta-analysis assessed a very important and controversial topic about children’s mental health and video games. In response to the concerns raised by researchers about the appropriateness of the meta-analytical methods used by Ferguson; we decided to reanalyze the data and discuss two major misconceptions about meta-analysis. We argue that partial correlations can (and should) be meta-analyzed instead of zero-order bivariate correlations if the predictors included in the partial correlation represent a similar construct. We also discuss the fallacy by which the conventional meta-analytical model assumes that the studies’ effect sizes came into being according to the same random effect construct used by the analysis. Our replication results using partial correlations, standardized (valid and reliable) outcomes, and an improved meta-analytical model (that does not assume a random effect is the mechanism of data generation) confirmed the main results of Ferguson’s meta-analysis. There was a significant yet very small effect on aggressive behavior of exposure to both general, rp = 0.062, 95% CI [0.012, 0.112], and violent, rp = 0.055, 95% CI [0.019, 0.091], video games. A very small effect was seen on reduced prosocial behavior, but this was only in the general video game exposure category, rp = 0.072, 95% CI [0.045, 0.100].


Journal of Clinical Gastroenterology | 2017

Upper Versus Lower Gastrointestinal Delivery for Transplantation of Fecal Microbiota in Recurrent or Refractory Clostridium difficile Infection: A Collaborative Analysis of Individual Patient Data From 14 Studies.

Luis Furuya-Kanamori; Suhail A. R. Doi; David L. Paterson; Stefan K. Helms; Laith Yakob; Samantha J. McKenzie; Kjetil Garborg; Frida Emanuelsson; Neil Stollman; Matthew P. Kronman; Justin Clark; Charlotte A. Huber; Thomas V. Riley; Archie Clements

Goals: The aim of this study was to compare upper gastrointestinal (UGI) versus lower gastrointestinal (LGI) delivery routes of fecal microbiota transplantation (FMT) for refractory or recurrent/relapsing Clostridium difficile infection (CDI). Background: FMT has been proven to be a safe and highly effective therapeutic option for CDI. Delivery, however, could be via the UGI or LGI routes, and it is unclear as to which route provides better clinical outcome. Study: A systematic search for studies that reported the use of FMT for CDI treatment was conducted. Individual patient data that included demographic (age and sex) and clinical (route of FMT delivery, CDI outcome after FMT, and follow-up time) information were obtained. Kaplan-Meier cumulative hazard curves and Cox proportional hazard models were used to assess clinical failure after FMT by the route of delivery. Results: Data from 305 patients treated with FMT (208 via LGI route and 97 via UGI route) for CDI were analyzed. At 30 and 90 days, the risk of clinical failure was 5.6% and 17.9% in the UGI group compared with 4.9% and 8.5% in the LGI delivery route group, respectively. A time-varying analysis suggested a 3-fold increase in hazard of clinical failure for UGI delivery (hazard ratio, 3.43; 95% confidence interval, 1.32-8.93) in the period after 30 days. Conclusions: FMT delivered via the LGI seems to be the most effective route for the prevention of recurrence/relapse of CDI. A randomized controlled trial is necessary to confirm whether FMT delivered via the LGI is indeed superior to that delivered via the UGI route.


Scientific Reports | 2015

Mechanisms of hypervirulent Clostridium difficile ribotype 027 displacement of endemic strains: An epidemiological model

Laith Yakob; Thomas V. Riley; David L. Paterson; John Marquess; Ricardo J. Soares Magalhaes; Luis Furuya-Kanamori; Archie Clements

Following rapid, global clonal dominance of hypervirulent ribotypes, Clostridium difficile now constitutes the primary infectious cause of nosocomial diarrhoea. Evidence indicates at least three possible mechanisms of hypervirulence that facilitates the successful invasion of these atypical strains: 1) increased infectiousness relative to endemic strains; 2) increased symptomatic disease rate relative to endemic strains; and 3) an ability to outcompete endemic strains in the host’s gut. Stochastic simulations of an infection transmission model demonstrate clear differences between the invasion potentials of C. difficile strains utilising the alternative hypervirulence mechanisms, and provide new evidence that favours certain mechanisms (1 and 2) more than others (3). Additionally, simulations illustrate that direct competition between strains (inside the host’s gut) is not a prerequisite for the sudden switching that has been observed in prevailing ribotypes; previously dominant C. difficile strains can be excluded by hypervirulent ribotypes through indirect (exploitative) competition.


Pharmacoepidemiology and Drug Safety | 2015

Was there really any evidence that rosiglitazone increased the risk of myocardial infarction or death from cardiovascular causes

Jennifer C. Stone; Luis Furuya-Kanamori; Jan J. Barendregt; Suhail A. R. Doi

Rosiglitazone has previously been widely used to treat patients with type 2 diabetes mellitus, but its safety in terms of cardiovascular morbidity and mortality had been called into question. Recently, there have been doubts raised about the meta‐analytic evidence with the regulatory authorities relaxing its restrictions. We hypothesized that the original analyses may have produced exaggerated results because of the small baseline risks involved. To demonstrate this, we replicated the meta‐analysis of four randomized trials of greater than 12‐month follow‐up that made use of a randomized control group not receiving rosiglitazone and reported outcome data for all occurrences of the complementary outcomes (no myocardial infarction, no death from cardiovascular causes, and no heart failure). Data were combined by means of a fixed‐effects model. In the rosiglitazone group, as compared with the control group, the relative risk for no myocardial infarction was 0.997 (95% confidence interval [CI], 0.994 to 1.000), and the relative risk for no death from cardiovascular causes was 1.001 (95%CI, 0.999 to 1.003). Finally, no heart failure had a relative risk of 0.995 (95%CI, 0.993 to 0.998). Rosiglitazone does not seem to have any significant increase in the risk of myocardial infarction or of death from cardiovascular causes associated with its use. Regulatory authorities should revisit this issue of the appropriate measure for reporting of adverse events with low baseline risks as this has implications well beyond rosiglitazone. Copyright


PLOS ONE | 2015

Clostridium difficile infection seasonality: Patterns across hemispheres and continents - A systematic review

Luis Furuya-Kanamori; Samantha J. McKenzie; Laith Yakob; Justin Clark; David L. Paterson; Thomas V. Riley; Archie Clements

Background Studies have demonstrated seasonal variability in rates of Clostridium difficile infection (CDI). Synthesising all available information on seasonality is a necessary step in identifying large-scale epidemiological patterns and elucidating underlying causes. Methods Three medical and life sciences publication databases were searched from inception to October 2014 for longitudinal epidemiological studies written in English, Spanish or Portuguese that reported the incidence of CDI. The monthly frequency of CDI were extracted, standardized and weighted according to the number of follow-up months. Cross correlation coefficients (XCORR) were calculated to examine the correlation and lag between the year-month frequencies of reported CDI across hemispheres and continents. Results The search identified 13, 5 and 2 studies from North America, Europe, and Oceania, respectively that met the inclusion criteria. CDI had a similar seasonal pattern in the Northern and Southern Hemisphere characterized by a peak in spring and lower frequencies of CDI in summer/autumn with a lag of 8 months (XCORR = 0.60) between hemispheres. There was no difference between the seasonal patterns across European and North American countries. Conclusion CDI demonstrates a distinct seasonal pattern that is consistent across North America, Europe and Oceania. Further studies are required to identify the driving factors of the observed seasonality.


Journal of Infection | 2014

A population-based spatio-temporal analysis of Clostridium difficile infection in Queensland, Australia over a 10-year period

Luis Furuya-Kanamori; Jenny Robson; Ricardo J. Soares Magalhaes; Laith Yakob; Samantha J. McKenzie; David L. Paterson; Thomas V. Riley; Archie Clements

OBJECTIVES To identify the spatio-temporal patterns and environmental factors associated with Clostridium difficile infection (CDI) in Queensland, Australia. METHODS Data from patients tested for CDI were collected from 392 postcodes across Queensland between May 2003 and December 2012. A binomial logistic regression model, with CDI status as the outcome, was built in a Bayesian framework, incorporating fixed effects for sex, age, source of the sample (healthcare facility or community), elevation, rainfall, land surface temperature, seasons of the year, time in months and spatially unstructured random effects at the postcode level. RESULTS C. difficile was identified in 13.1% of the samples, the proportion significantly increased over the study period from 5.9% in 2003 to 18.8% in 2012. CDI peaked in summer (14.6%) and was at its lowest in autumn (10.1%). Other factors significantly associated with CDI included female sex (OR: 1.08; 95%CI: 1.01-1.14), community source samples (OR: 1.12; 95%CI: 1.05-1.20), and higher rainfall (OR: 1.09; 95%CI: 1.02-1.17). There was no significant spatial variation in CDI after accounting for the fixed effects in the model. CONCLUSIONS There was an increasing annual trend in CDI in Queensland from 2003 to 2012. Peaks of CDI were found in summer (December-February), which is at odds with the current epidemiological pattern described for northern hemisphere countries. Epidemiologically plausible explanations for this disparity require further investigation.

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Archie Clements

Australian National University

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