scholarly journals Prevalence of nasal polyps in Northern Portugal: a cadaver endoscopic study

2014 ◽  
Vol 52 (4) ◽  
pp. 386-389
Author(s):  
Rui Cerejeira ◽  
Rafaela Veloso-Teles ◽  
Nuno Lousan ◽  
Carla Pinto Moura
Keyword(s):  
Nasal Polyps ◽  
Respiratory Diseases ◽  
District Hospital ◽  
Epidemiological Data ◽  
Early Morning ◽  
Epidemiological Studies ◽  
Accurate Estimate ◽  
Endoscopic Examination ◽  
Northern Portugal ◽  
Age Of Death

Background: Epidemiological studies on chronic rhinosinusitis with nasal polyps are scarce and mostly based on questionnaires. Data obtained with such approaches can be unreliable, thus endoscopy is a prerequisite for an accurate estimate of the prevalence of nasal polyps. The objective of this study was to establish the frequency of nasal polyps in Northern Portugal, using nasal endoscopy in cadavers from a District Hospital. Methods: The cadaver specimens deposited in the mortuary room of the hospital, every early morning on week days, from December 2012 to August 2013, were submitted to a systematic endoscopic examination of both nasal cavities, using a 25°, 2.y mm rigid endoscope from R.Wolf®. A review of the medical record of the cadavers was done, to search for cause of death, co-morbidities and past ENT history. Results: A group of 200 consecutive Caucasian cadaver specimens were analyzed, 83 women and 117 men, with a mean age of death of 77.23 ± 12.29 years (range 34-97). The prevalence of nasal polyps was 5.5% (95% confidence interval, 2.34-8.66). No statistically significant association between the studied clinical variables (sex, allergic rhinitis, lower respiratory diseases and smoking) and the presence of nasal polyps was identified. Conclusion: The study provides the first endoscopic based epidemiological data on nasal polyps in Portugal, showing a prevalence for old age group in accordance with previous studies in Europe.

scholarly journals Methods for epidemiological studies in competitive cycling: an extension of the IOC consensus statement on methods for recording and reporting of epidemiological data on injury and illness in sport 2020

2021 ◽  
pp. bjsports-2020-103906
Author(s):  
Benjamin Clarsen ◽  
Babette M Pluim ◽  
Víctor Moreno-Pérez ◽  
Xavier Bigard ◽  
Cheri Blauwet ◽  
...  
Keyword(s):  
Consensus Statement ◽  
Expert Panel ◽  
Epidemiological Data ◽  
Epidemiological Studies ◽  
Population Characteristics ◽  
Exposure Study ◽  
Injury Mechanisms ◽  
Study Population ◽  
Final Manuscript ◽  
Collection Methods

In 2020, the IOC released a consensus statement that provides overall guidelines for the recording and reporting of epidemiological data on injury and illness in sport. Some aspects of this statement need to be further specified on a sport-by-sport basis. To extend the IOC consensus statement on methods for recording and reporting of epidemiological data on injury and illness in sports and to meet the sport-specific requirements of all cycling disciplines regulated by the Union Cycliste Internationale (UCI). A panel of 20 experts, all with experience in cycling or cycling medicine, participated in the drafting of this cycling-specific extension of the IOC consensus statement. In preparation, panel members were sent the IOC consensus statement, the first draft of this manuscript and a list of topics to be discussed. The expert panel met in July 2020 for a 1-day video conference to discuss the manuscript and specific topics. The final manuscript was developed in an iterative process involving all panel members. This paper extends the IOC consensus statement to provide cycling-specific recommendations on health problem definitions, mode of onset, injury mechanisms and circumstances, diagnosis classifications, exposure, study population characteristics and data collection methods. Recommendations apply to all UCI cycling disciplines, for both able-bodied cyclists and para-cyclists. The recommendations presented in this consensus statement will improve the consistency and accuracy of future epidemiological studies of injury and illness in cycling.

scholarly journals Genetic Contribution of Endometriosis to the Risk of Developing Hormone-Related Cancers

2021 ◽  
Vol 22 (11) ◽  
pp. 6083
Author(s):  
Aintzane Rueda-Martínez ◽  
Aiara Garitazelaia ◽  
Ariadna Cilleros-Portet ◽  
Sergi Marí ◽  
Rebeca Arauzo ◽  
...  
Keyword(s):  
Mendelian Randomization ◽  
Clear Cell ◽  
Association Studies ◽  
Epidemiological Data ◽  
Epidemiological Studies ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Genomic Analyses ◽  
Gynecological Disorder ◽  
Robust Evidence

Endometriosis is a common gynecological disorder that has been associated with endometrial, breast and epithelial ovarian cancers in epidemiological studies. Since complex diseases are a result of multiple environmental and genetic factors, we hypothesized that the biological mechanism underlying their comorbidity might be explained, at least in part, by shared genetics. To assess their potential genetic relationship, we performed a two-sample mendelian randomization (2SMR) analysis on results from public genome-wide association studies (GWAS). This analysis confirmed previously reported genetic pleiotropy between endometriosis and endometrial cancer. We present robust evidence supporting a causal genetic association between endometriosis and ovarian cancer, particularly with the clear cell and endometrioid subtypes. Our study also identified genetic variants that could explain those associations, opening the door to further functional experiments. Overall, this work demonstrates the value of genomic analyses to support epidemiological data, and to identify targets of relevance in multiple disorders.

scholarly journals A deep cascaded segmentation of obstructive sleep apnea-relevant organs from sagittal spine MRI

2021 ◽  
Vol 16 (4) ◽  
pp. 579-588
Author(s):  
Tatyana Ivanovska ◽  
Amro Daboul ◽  
Oleksandr Kalentev ◽  
Norbert Hosten ◽  
Reiner Biffar ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Soft Palate ◽  
High Speed ◽  
Sleep Apnea Syndrome ◽  
Epidemiological Data ◽  
Epidemiological Studies ◽  
Obstructive Sleep ◽  
Validation Set ◽  
Spine Mri

Abstract Purpose The main purpose of this work was to develop an efficient approach for segmentation of structures that are relevant for diagnosis and treatment of obstructive sleep apnea syndrome (OSAS), namely pharynx, tongue, and soft palate, from mid-sagittal magnetic resonance imaging (MR) data. This framework will be applied to big data acquired within an on-going epidemiological study from a general population. Methods A deep cascaded framework for subsequent segmentation of pharynx, tongue, and soft palate is presented. The pharyngeal structure was segmented first, since the airway was clearly visible in the T1-weighted sequence. Thereafter, it was used as an anatomical landmark for tongue location. Finally, the soft palate region was extracted using segmented tongue and pharynx structures and used as input for a deep network. In each segmentation step, a UNet-like architecture was applied. Results The result assessment was performed qualitatively by comparing the region boundaries obtained from the expert to the framework results and quantitatively using the standard Dice coefficient metric. Additionally, cross-validation was applied to ensure that the framework performance did not depend on the specific selection of the validation set. The average Dice coefficients on the test set were $$0.89\pm 0.03$$ 0.89 ± 0.03 , $$0.87\pm 0.02$$ 0.87 ± 0.02 , and $$0.79\pm 0.08$$ 0.79 ± 0.08 for tongue, pharynx, and soft palate tissues, respectively. The results were similar to other approaches and consistent with expert readings. Conclusion Due to high speed and efficiency, the framework will be applied for big epidemiological data with thousands of participants acquired within the Study of Health in Pomerania as well as other epidemiological studies to provide information on the anatomical structures and aspects that constitute important risk factors to the OSAS development.

scholarly journals The Effect of Random Error in Exposure Measurement upon the Shape of the Exposure Response

Dose-Response ◽  
2005 ◽  
Vol 3 (4) ◽  
pp. dose-response.0 ◽  
Author(s):  
Kenny S. Crump
Keyword(s):  
Measurement Error ◽  
Measurement Errors ◽  
Epidemiological Data ◽  
Epidemiological Studies ◽  
Random Errors ◽  
Exposure Measurement ◽  
Considerable Uncertainty ◽  
Exposure Response ◽  
Log Normal ◽  
Normally Distributed

Although statistical analyses of epidemiological data usually treat the exposure variable as being known without error, estimated exposures in epidemiological studies often involve considerable uncertainty. This paper investigates the theoretical effect of random errors in exposure measurement upon the observed shape of the exposure response. The model utilized assumes that true exposures are log-normally distributed, and multiplicative measurement errors are also log-normally distributed and independent of the true exposures. Under these conditions it is shown that whenever the true exposure response is proportional to exposure to a power r, the observed exposure response is proportional to exposure to a power K, where K < r. This implies that the observed exposure response exaggerates risk, and by arbitrarily large amounts, at sufficiently small exposures. It also follows that a truly linear exposure response will appear to be supra-linear—i.e., a linear function of exposure raised to the K-th power, where K is less than 1.0. These conclusions hold generally under the stated log-normal assumptions whenever there is any amount of measurement error, including, in particular, when the measurement error is unbiased either in the natural or log scales. Equations are provided that express the observed exposure response in terms of the parameters of the underlying log-normal distribution. A limited investigation suggests that these conclusions do not depend upon the log-normal assumptions, but hold more widely. Because of this problem, in addition to other problems in exposure measurement, shapes of exposure responses derived empirically from epidemiological data should be treated very cautiously. In particular, one should be cautious in concluding that the true exposure response is supra-linear on the basis of an observed supra-linear form.

scholarly journals Epidemiological trends in digestive cancers compared to trends in alcohol consumption. Facts from Romania: correlation or coincidence?

2018 ◽  
Vol 91 (4) ◽  
pp. 376-386
Author(s):  
Simona Valean ◽  
Romeo Chira ◽  
Dan Dumitrascu
Keyword(s):  
Alcohol Consumption ◽  
Population Level ◽  
Epidemiological Data ◽  
Epidemiological Studies ◽  
Incidence Rates ◽  
Human Populations ◽  
Causative Relationship ◽  
Consumption Data ◽  
Digestive Cancers ◽  
Epidemiological Trends

Cancer has emerged as the leading cause of death in human populations, according to recent estimations. Epidemiological studies emphasized the role of life style and of environmental factors in promoting the risk for digestive cancers. The contribution of alcohol was highly suspected. Even for digestive cancers with dominant infection etiology, like liver cancer and gastric cancer, the contribution of alcohol should be assessed. At population level there is therefore a need to compare trends in epidemiological data of gastrointestinal cancers and data on alcohol consumption, in order to extrapolate any causative relationship. The purpose of this review was to analyze the time trend of digestive cancers in Romania, in terms of mortality rates (between 1955-2012), and incidence rates (between 2008-2012), in males and females, and to analyze the alcohol consumption data, aiming to find out if there is any association.

scholarly journals The Registry as a Basis for Epidemiological Surveillance and Optimization of Care in Out-of-hospital Cardiac Arrest

2018 ◽  
Vol 7 (3) ◽  
pp. 234-243 ◽  
Author(s):  
A. A. Birkun ◽  
A. V. Altukhov
Keyword(s):  
Epidemiological Data ◽  
Epidemiological Studies ◽  
Wide Distribution ◽  
General Concept ◽  
Epidemiological Surveillance ◽  
Low Efficiency ◽  
Low Incidence ◽  
And Performance ◽  
Main Instrument ◽  
Hospital Cardiac Arrest

Despite significant progress in medicine, out-of-hospital cardiac (OHCA) remains one of the leading causes of death around the world. Epidemiological data suggest wide distribution of OHCA, low incidence of cardiopulmonary resuscitation attempts and low efficiency of resuscitation in the Russian Federation. Both implementation of measures for reducing mortality from OHCA and monitoring of their efficiency should be based on up-to-date, reliable data on national and regional OHCA epidemiology and performance of emergency medical services. The aim of this review is to provide a rationale for establishment of the national OHCA registry as a main instrument of collection, arrangement, storage, processing and presentation of data on OHCA epidemiology and efficiency of care provided. The review includes the analysis of OHCA epidemiological studies carried out in Russia, describes general concept and international experience of developing OHCA registries, and discusses Utstein guidelines for uniform reporting of OHCA data.

scholarly journals Challenges in the Integration of Omics and Non-Omics Data

Genes ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 238 ◽  
Author(s):  
Evangelina López de Maturana ◽  
Lola Alonso ◽  
Pablo Alarcón ◽  
Isabel Adoración Martín-Antoniano ◽  
Silvia Pineda ◽  
...  
Keyword(s):  
Data Integration ◽  
Large Scale ◽  
Predictive Ability ◽  
Epidemiological Data ◽  
Joint Modeling ◽  
Epidemiological Studies ◽  
Omics Data ◽  
Data Set ◽  
Health Domains ◽  
Analytical Strategies

Omics data integration is already a reality. However, few omics-based algorithms show enough predictive ability to be implemented into clinics or public health domains. Clinical/epidemiological data tend to explain most of the variation of health-related traits, and its joint modeling with omics data is crucial to increase the algorithm’s predictive ability. Only a small number of published studies performed a “real” integration of omics and non-omics (OnO) data, mainly to predict cancer outcomes. Challenges in OnO data integration regard the nature and heterogeneity of non-omics data, the possibility of integrating large-scale non-omics data with high-throughput omics data, the relationship between OnO data (i.e., ascertainment bias), the presence of interactions, the fairness of the models, and the presence of subphenotypes. These challenges demand the development and application of new analysis strategies to integrate OnO data. In this contribution we discuss different attempts of OnO data integration in clinical and epidemiological studies. Most of the reviewed papers considered only one type of omics data set, mainly RNA expression data. All selected papers incorporated non-omics data in a low-dimensionality fashion. The integrative strategies used in the identified papers adopted three modeling methods: Independent, conditional, and joint modeling. This review presents, discusses, and proposes integrative analytical strategies towards OnO data integration.

scholarly journals Can breast cancer patients use soyafoods to help reduce risk of CHD?

2012 ◽  
Vol 108 (5) ◽  
pp. 810-819 ◽  
Author(s):  
Mark Messina ◽  
Virginia Messina ◽  
David J. A. Jenkins
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Epidemiological Data ◽  
Nutrient Content ◽  
Epidemiological Studies ◽  
Soya Protein ◽  
Breast Cancer Patients ◽  
Chd Risk ◽  
Isoflavone Content ◽  
Meta Analyses

Over the past 20 years, the popularity of soyafoods has increased in part because of research suggesting that these foods convey health benefits independent of their nutrient content. For example, in 1999, the US Food and Drug Administration approved a health-claim for soyafoods and CHD based on the hypocholesterolaemic effects of soya protein. However, soyafoods have become controversial in recent years because of concerns that their uniquely rich phyto-oestrogen (isoflavone) content may cause untoward effects in some individuals. Most notable in this regard is the concern that soyafoods are contraindicated for breast cancer patients and women at high risk of developing this disease. Furthermore, the hypocholesterolaemic effects of soya protein have been challenged. However, the results of recently published meta-analyses indicate that soya protein directly lowers circulating LDL-cholesterol levels by approximately 4 %. There is also intriguing evidence that soyafoods reduce CHD risk independent of their effects on lipid levels. In regard to the breast cancer controversy, recently published clinical and epidemiological data do not support observations in rodents that soyabean isoflavones increase breast cancer risk. In postmenopausal women, isoflavone exposure does not adversely affect breast tissue density or breast cell proliferation. Furthermore, both US and Chinese prospective epidemiological studies show that post-diagnosis soya consumption is associated with an improved prognosis. Therefore, soyafoods should be considered by women as healthy foods to include in diets aimed at reducing the risk of CHD regardless of their breast cancer status.

The epidemiology of multiple sclerosis in Latin America and the Caribbean: a systematic review

2012 ◽  
Vol 19 (7) ◽  
pp. 844-854 ◽  
Author(s):  
E Cristiano ◽  
JI Rojas ◽  
M Romano ◽  
N Frider ◽  
G Machnicki ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Systematic Review ◽  
Latin America ◽  
Low Frequency ◽  
Epidemiological Data ◽  
Developed Countries ◽  
Epidemiological Studies ◽  
Incidence Data ◽  
Full Text Review ◽  
The Caribbean

The incidence and prevalence of multiple sclerosis (MS) varies geographically as shown through extensive epidemiological studies performed mainly in developed countries. Nonetheless, scant data is available in Latin America and the Caribbean (LAC). The objective of this review is to assess epidemiological data of MS in LAC. We conducted a systematic review of published articles and gray literature from January 1995 to May 2011. Twenty-two studies met the inclusion criteria after full-text review. Incidence data were found in only three studies and ranged from 0.3 to 1.9 annual cases per 100,000 person-years. Prevalence was reported in 10 studies and ranged from 0.83 to 21.5 cases per 100,000 inhabitants. The most prevalent subtype of MS was the relapsing–remitting form (48% to 91% of the series). No data about mortality were found. This study showed low frequency for MS in LAC compared with North American and European countries. The role of environmental and genetic factors should be well studied, providing new insights about its etiology.

CS03-02 - Sleep and chronic pain

2011 ◽  
Vol 26 (S2) ◽  
pp. 1775-1775
Author(s):  
G. Hajak
Keyword(s):  
Process Model ◽  
Pain Perception ◽  
Scientific Evidence ◽  
Strong Relationship ◽  
Epidemiological Data ◽  
Early Morning ◽  
Pain Medication ◽  
Pain Syndromes ◽  
Nocturnal Pain ◽  
Clinical Consequences

Recent nation-wide epidemiological data confirm the well-known clinical observation of a strong relationship between pain syndromes and disordered sleep.In experimental settings of pain patients as well as healthy subjects, pain perception shows a strong circadian pattern exhibiting significant variation over the 24-hour sleep-wake period. Several lines of scientific evidence indicate that homoeostatic components of sleep may mask circadian pain perception, which results in a two-process model of pain regulation depending on the circadian sleep-wake status.Since pain may worsen sleep, sleep deprivation increases pain, and quality of sleep not only affects nocturnal pain but influences pain during daytime hours, models of interactive pathomechanisms of pain and sleep are widely accepted.Clinical consequences include various treatment methods that consider both, pain and sleep. E.g., intake of pain medication should follow circadian aspects which assure sufficient pain reduction at early morning hours; ideal pain medication at night should have hypnotic properties, including the promotion of deep sleep; pain medication during daytime hours should activate patients to support good sleep during the following night. Psychotherapy needs to support both, the management of pain and of sleep.

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