A Prospective, Multi-center, Observational Study for Signal-C Test Evaluation
Ontology highlight
ABSTRACT:
DISEASE(S): Adenocarcinoma,Colorectal Cancer,Advanced Adenocarcinoma
PROVIDER: 107483 | ecrin-mdr-crc |
REPOSITORIES: ECRIN MDR
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Project description:The primary objective is to confirm the specificity of a multi-target stool DNA test (mt-sDNA), Cologuard, in an average risk population, ages 45-49.
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Project description:BackgroundAnesthesia record is an essential part of perioperative patient management and, it is one of the global patient safety challenges. The aim of this study is to assess the completeness of perioperative anesthesia record sheets in Amhara regional state hospitals of Ethiopia.MethodsA retrospective review of anesthetic records was employed for patients who underwent surgery in Amhara Regional State Hospitals of Ethiopia from December 1, 2019, to February 29, 2020. All the intraoperative, preoperative, and postoperative data completeness of anesthesia record sheets was assessed using a structured checklist.ResultsA total of 420 perioperative anesthetic records were included in this study. The basic preoperative history was documented in less than 80% of anesthesia record sheets. A physical examination was done and the results of the basic investigations were recorded in less than 75% of anesthesia record sheets. The name and dose of anesthetic medications were documented in 91% of the anesthesia records sheets. The completeness of parameters related to postoperative plans and orders was less than 70%.ConclusionThe completeness of perioperative anesthesia record was poor in Amhara regional state hospitals of Ethiopia. Anesthesia professionals should document all the necessary perioperative parameters in the anesthesia record sheet.
| S-EPMC9289489 | biostudies-literature
Project description:Earlier detection is key to reducing cancer deaths. Here we describe a blood test that can detect eight common cancer types through assessment of the levels of circulating proteins and mutations in cell-free DNA. We applied this test, called CancerSEEK, to 1,005 patients with clinically detected cancers of the ovary, liver, stomach, pancreas, esophagus, colorectum, lung, or breast. CancerSEEK tests were positive in a median of 70% of the eight cancer types. The sensitivities ranged from 69% to 98% for the detection of five cancer types (ovary, liver, stomach, pancreas, and esophagus) for which there are no screening tests available for average-risk individuals. The specificity of CancerSEEK was > 99%: only 7 of 812 healthy controls scored positive. In addition, CancerSEEK localized the cancer to a small number of anatomic sites in a median of 83% of the patients.
| EGAS00001002764 | EGA
Project description:BackgroundNeurocritical illness is a growing healthcare problem with profound socioeconomic effects. We assessed differences in healthcare costs and long-term outcome for different forms of neurocritical illnesses treated in the intensive care unit (ICU).MethodsWe used the prospective Finnish Intensive Care Consortium database to identify all adult patients treated for traumatic brain injury (TBI), intracerebral hemorrhage (ICH), subarachnoid hemorrhage (SAH) and acute ischemic stroke (AIS) at university hospital ICUs in Finland during 2003-2013. Outcome variables were one-year mortality and permanent disability. Total healthcare costs included the index university hospital costs, rehabilitation hospital costs and social security costs up to one year. All costs were converted to euros based on the 2013 currency rate.ResultsIn total 7044 patients were included (44% with TBI, 13% with ICH, 27% with SAH, 16% with AIS). In comparison to TBI, ICH was associated with the highest risk of death and permanent disability (OR 2.6, 95% CI 2.1-3.2 and OR 1.7, 95% CI 1.4-2.1), followed by AIS (OR 1.9, 95% CI 1.5-2.3 and OR 1.5, 95% CI 1.3-1.8) and SAH (OR 1.8, 95% CI 1.5-2.1 and OR 0.8, 95% CI 0.6-0.9), after adjusting for severity of illness. SAH was associated with the highest mean total costs (€51,906) followed by ICH (€47,661), TBI (€43,916) and AIS (€39,222). Cost per independent survivor was lower for TBI (€58,497) and SAH (€96,369) compared to AIS (€104,374) and ICH (€178,071).ConclusionNeurocritical illnesses are costly and resource-demanding diseases associated with poor outcomes. Intensive care of patients with TBI or SAH more commonly result in independent survivors and is associated with lower total treatments costs compared to ICH and AIS.
| S-EPMC6148794 | biostudies-literature
Project description:In this experiment, we hava analyzed a set of 45 C. jejuni strains by CGH and MLST in order to investigate whether the strain relationships inferred from the analysis of a small number of loci (MLST) reflect whole-genome gene conservation patterns observed by CGH. We performed microarray CGH on 45 strains previously characterized by MLST. Genomic DNA from each experimental strain was compared in a CGH experiment against the reference strain NCTC 11168. We measured signal intensity for each tester strain versus the control strain NCTC 11168. Values represent mean of replicate spots. Replicate arrays are not included.
2008-04-21 | E-GEOD-9919 | biostudies-arrayexpress
Project description:BACKGROUND:Neuropsychological tests (NPTs) are important tools for informing diagnoses of cognitive impairment (CI). However, interpreting NPTs requires specialists and is thus time-consuming. To streamline the application of NPTs in clinical settings, we developed and evaluated the accuracy of a machine learning algorithm using multi-center NPT data. METHODS:Multi-center data were obtained from 14,926 formal neuropsychological assessments (Seoul Neuropsychological Screening Battery), which were classified into normal cognition (NC), mild cognitive impairment (MCI) and Alzheimer's disease dementia (ADD). We trained a machine learning model with artificial neural network algorithm using TensorFlow (https://www.tensorflow.org) to distinguish cognitive state with the 46-variable data and measured prediction accuracies from 10 randomly selected datasets. The features of the NPT were listed in order of their contribution to the outcome using Recursive Feature Elimination. RESULTS:The ten times mean accuracies of identifying CI (MCI and ADD) achieved by 96.66?±?0.52% of the balanced dataset and 97.23?±?0.32% of the clinic-based dataset, and the accuracies for predicting cognitive states (NC, MCI or ADD) were 95.49?±?0.53 and 96.34?±?1.03%. The sensitivity to the detection CI and MCI in the balanced dataset were 96.0 and 96.0%, and the specificity were 96.8 and 97.4%, respectively. The 'time orientation' and '3-word recall' score of MMSE were highly ranked features in predicting CI and cognitive state. The twelve features reduced from 46 variable of NPTs with age and education had contributed to more than 90% accuracy in predicting cognitive impairment. CONCLUSIONS:The machine learning algorithm for NPTs has suggested potential use as a reference in differentiating cognitive impairment in the clinical setting.
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Project description:BackgroundAccurate interpretation of chest radiographs requires years of medical training, and many countries face a shortage of medical professionals to meet such requirements. Recent advancements in artificial intelligence (AI) have aided diagnoses; however, their performance is often limited due to data imbalance. The aim of this study was to augment imbalanced medical data using generative adversarial networks (GANs) and evaluate the clinical quality of the generated images via a multi-center visual Turing test.MethodsUsing six chest radiograph datasets, (MIMIC, CheXPert, CXR8, JSRT, VBD, and OpenI), starGAN v2 generated chest radiographs with specific pathologies. Five board-certified radiologists from three university hospitals, each with at least five years of clinical experience, evaluated the image quality through a visual Turing test. Further evaluations were performed to investigate whether GAN augmentation enhanced the convolutional neural network (CNN) classifier performances.ResultsIn terms of identifying GAN images as artificial, there was no significant difference in the sensitivity between radiologists and random guessing (result of radiologists: 147/275 (53.5%) vs result of random guessing: 137.5/275, (50%); p = .284). GAN augmentation enhanced CNN classifier performance by 11.7%.ConclusionRadiologists effectively classified chest pathologies with synthesized radiographs, suggesting that the images contained adequate clinical information. Furthermore, GAN augmentation enhanced CNN performance, providing a bypass to overcome data imbalance in medical AI training. CNN based methods rely on the amount and quality of training data; the present study showed that GAN augmentation could effectively augment training data for medical AI.
| S-EPMC10096231 | biostudies-literature
Project description:ObjectiveWe evaluated pressure-controlled ventilation (PCV) with multiple programmed levels of positive end expiratory pressure (programmed multi-level ventilation; PMLV) in patients with coronavirus disease 2019 (COVID-19)-related acute respiratory distress syndrome (ARDS).MethodsWe conducted a multicenter, retrospective study from November 2020 to February 2021. PMLV was used with PCV in all patients with intensive care admission until improvement in oxygenation (fraction of inspired oxygen [FiO2] ≤0.50 and oxygen saturation [SpO2] >92%). The observed outcomes were improvement of hypoxemia, length of mechanical ventilation, partial pressure of carbon dioxide (PaCO2) stability, and adverse events.ResultsOf 188 mechanically ventilated patients with COVID-19-related ARDS, we analyzed 60 patients treated with PMLV. Hypoxemia improved in 55 (92%) patients, as measured by the change in partial pressure of oxygen/FiO2 and SpO2/FiO2 ratios on day 3 versus day 1, and in 32 (66%) ventilated patients on day 7 versus day 3. The median (interquartile range) length of mechanical ventilation for survivors and non-survivors was 8.4 (4.7-14.9) and 6.7 (3.6-10.3) days, respectively.ConclusionsPMLV appears to be a safe and effective ventilation strategy for improving hypoxemia in patients with COVID-19-related ARDS. Further studies are needed comparing the PMLV mode with the conventional ARDS ventilatory approach.
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Project description:BackgroundThe incidence of Brugada syndrome has been reported to occur mostly in Asian countries. However, key countries such as Indonesia, the largest-populated Southeast Asian country, have yet to report any existing data regarding the incidence of Brugada syndrome among its population. Detecting these patients has been challenging, especially in primary healthcare settings, which generally have limited resources. Telemedicine may represent an ideal solution for initial diagnosis to determine if a patient may have this condition.MethodsWe collected and analyzed numerous 12-lead electrocardiograms (ECG) of patients who visited various healthcare centers in Makassar for routine medical check-up between June 2017-April 2018. Electrocardiograms from these centers were sent to the Cardiac Center at Dr. Wahidin Sudirohusodo Hospital in Makassar via telemedicine.ResultsDuring the period, we successfully obtained 9558 ECGs. While none of the patients were initially suspected of Brugada Syndrome, we found 102 (1.07%) among them to have a Brugada ECG pattern (BrEP). BrEP was more commonly found in males compared to females (67.6% vs. 32.4% of the cases found). There were significant differences in the number of confirmed cases among the types of BrEP for male and female patients. The number of confirmed cases of BrEP in male and female patients were significantly different (p < 0.05), where the number of cases for male vs. female was 8 vs. 4 for type 1, 17 vs. 1 for type 2, and 44 vs. 28 for type 3.ConclusionBrugada syndrome is a disease that is at grave risk of being frequently underdiagnosed. Our study indicates that telemedicine can become an appropriate tool that can assist physicians in detecting suspected patients. Future efforts should also be directed at studying the possible use of telemedicine for detecting other similarly rare conditions.
| S-EPMC8094895 | biostudies-literature
Project description:Tuberculosis (TB) remains a serious global public health problem in the present. TB also affects other sites (extrapulmonary tuberculosis, EPTB), and accounts for a significant proportion of tuberculosis cases worldwide. In order to comprehensively understand epidemiology of EBTB in China, and improve early diagnosis and treatment, we conducted a large-scale multi-center observational study to assess the demographic data and the prevalence of common EPTB inpatients, and further evaluate the prevalence of EPTB concurrent with Pulmonary tuberculosis (PTB) and the associations between multiple EPTB types and gender-age group in China. All consecutive age≥15yr inpatients with a confirmed diagnosis of EPTB during the period from January 2011 to December 2017 were included in the study. The descriptive statistical analysis included median and quartile measurements for continuous variables, and frequencies and proportions with 95% confidence intervals (CIs) for categorical variables. Multinomial logistic regression analysis was used to compare the association of multiple EPTB types between age group and gender. The results showed that the proportion of 15-24 years and 25-34 years in EPTB inpatients were the most and the ratio of male: female was 1.51. Approximately 70% of EPTB inpatients were concurrent with PTB or other types of EPTB. The most common of EPTB was tuberculous pleurisy (50.15%), followed by bronchial tuberculosis (14.96%), tuberculous lymphadenitis of the neck (7.24%), tuberculous meningitis (7.23%), etc. It was found that many EPTB inpatients concurrent with PTB. The highest prevalence of EPTB concurrent with PTB was pharyngeal/laryngeal tuberculosis (91.31%), followed by bronchial tuberculosis (89.52%), tuberculosis of hilar lymph nodes (79.52%), tuberculosis of mediastinal lymph nodes (79.13%), intestinal tuberculosis (72.04%), tuberculous pleurisy (65.31%) and tuberculous meningitis (62.64%), etc. The results from EPTB concurrent with PTB suggested that females EPTB inpatients were less likely to be at higher risk of concurrent PTB (aOR = 0.819, 95%CI:0.803-0.835) after adjusted by age. As age increasing, the trend risk of concurrent PTB decreased (aOR = 0.994, 95%CI: 0.989-0.999) after adjusted by gender. Our study demonstrated that the common EPTB were tuberculous pleurisy, bronchial tuberculosis, tuberculous lymphadenitis of the neck, tuberculous meningitis, etc. A majority of patients with pharyngeal/laryngeal tuberculosis, bronchial tuberculosis, tuberculosis of hilar/mediastinal lymph nodes, intestinal tuberculosis, tuberculous pleurisy, tuberculous meningitis, etc. were concurrent with PTB. Female EPTB inpatients were less likely to be at higher risk of concurrent PTB, and as age increasing, the trend risk of concurrent PTB decreased. The clinicians should be alert to the presence of concurrent tuberculosis in EPTB, and all suspected cases of EPTB should be assessed for concomitant PTB to determine whether the case is infectious and to help for early diagnosis and treatment.
| S-EPMC7446809 | biostudies-literature