Tag: statistics

Environ Sci Pollut Res Int. 2022 Mar 18. doi: 10.1007/s11356-022-19588-y. Online ahead of print.

ABSTRACT

Because of health concerns regarding the presence of enteric viruses in wastewater effluents, this study was designed to investigate the occurrence of human adenovirus (HAdV) in the irrigation water-soil-crop continuum. Viral particles were extracted from wastewater and wastewater- or water-irrigated soil and crop samples and analyzed using real-time PCR. Concentration of fecal indicator bacteria (FIB) were also determined. Quantitative microbial risk assessment was performed to determine the HAdV illness risk associated with the consumption of wastewater-irrigated vegetables. HAdV-F was detected in 74% of wastewater effluent samples with a mean concentration of 38 Genomic Copy (GC)/mL. HAdV was also detected in wastewater-irrigated soil (2 × 10² GC/g) and crop (< 10 GC/g) samples, with no statistically significant difference in concentrations between wastewater- and freshwater-irrigated samples. The results showed no correlation between concentrations of FIB and HAdV in the analyzed samples. Mean probability of illness risk from consumption of wastewater-irrigated vegetables was 4 × 10^-1 per person per year (pppy) which was about two orders of magnitude higher than the proposed value by WHO (10^-3 pppy) for safe reuse of wastewater. This finding suggests that the wastewater reuse for irrigation of vegetables eaten raw could pose a threat to human health with respect to the risk of viral illness, signifying stricter management of wastewater reuse. However, because of uncertainties in the QMRA model, particularly the ratio of infectious to non-infectious virus particles, more data is required to validate the predicted risk. This information is especially important in arid and semi-arid regions where high temperatures, UV radiation intensity, and desiccation can efficiently inactivate microorganisms in the environment.

PMID:35304720 | DOI:10.1007/s11356-022-19588-y

Eat Weight Disord. 2022 Mar 19. doi: 10.1007/s40519-022-01390-x. Online ahead of print.

ABSTRACT

PURPOSE: Various neurobiological models have utilised symptom categories to explore the underlying neural correlates in both anorexia nervosa (AN) and bulimia nervosa (BN). The aim of this research was to investigate the brain activity patterns associated with viewing food stimuli in anorexia nervosa and bulimia nervosa.

METHODS: Electronic databases including PsycInfo and PubMed were systematically searched from data base inception until 1st of December 2020, identifying 14 suitable functional magnetic resonance imaging studies (fMRI), involving 470 participants. ALE meta-analysis was used to statistically analyse the overlap of activation foci from different fMRI studies in response to visual food stimuli.

RESULTS: Comparing patients with AN with healthy control (HC), we detected hypoactivation in brain areas related to reward processing (i.e., amygdala and lentiform nucleus), and interoceptive processing (i.e., insula). In addition, patients with AN showed hyperactivations in cognitive control areas (i.e., prefrontal and anterior cingulate cortex). In contrast, patients with BN exhibited hyperactivations in brain areas related to reward processing (i.e., lentiform nucleus), and interoceptive processing (i.e., insula). Furthermore, patients with BN showed hypoactivations in brain regions associated with cognitive control (i.e., prefrontal and anterior cingulate cortex).

CONCLUSIONS: Our study shows differing neural endotypes of the two types of eating disorders, that underpin their behavioural phenotypes. While exploratory in nature, these findings might be relevant for guiding new emerging therapies, including invasive and non-invasive neuromodulation techniques in treatment of eating disorders.

LEVEL OF EVIDENCE: Level I, meta-analysis.

PMID:35304713 | DOI:10.1007/s40519-022-01390-x

Can J Anaesth. 2022 Mar 18. doi: 10.1007/s12630-022-02241-0. Online ahead of print.

ABSTRACT

PURPOSE: A multidisciplinary approach is recommended for patients with complex chronic pain (CP). Many multidisciplinary pain treatment facilities (MTPFs) use patient exclusion criteria but little is known about their characteristics. The objective of this study was to describe the frequency and characteristics of exclusion criteria in public Canadian MTPFs.

METHODS: We conducted a cross-sectional study in which we defined an MPTF as a clinic staffed with professionals from three disciplines or more (including at least one medical specialty) and whose services were integrated within the facility. We disseminated a web-based questionnaire in 2017-2018 to the administrative leads of MPTFs across the country. They were invited to complete the questionnaire about the characteristics of their facilities. Data were analyzed using descriptive statistics and correlation measures.

RESULTS: A total of 87 MTPFs were included in the analyses. Half of them (52%) reported using three exclusion criteria or more. There was no significant association between the number of exclusion criteria and wait time for a first appointment or number of new consultations in the past year. Fibromyalgia and migraine were the most frequently excluded pain syndromes (10% and 7% of MPTFs, respectively). More than one MPTF out of four excluded patients with mental health disorders (30%) and/or substance use disorders (29%), including MPTFs with specialists in their staff.

CONCLUSIONS: Multidisciplinary pain treatment facility exclusion criteria are most likely to affect CP patients living with complex pain issues and psychosocial vulnerabilities. Policy efforts are needed to support Canadian MPTFs in contributing to equitable access to pain management.

PMID:35304693 | DOI:10.1007/s12630-022-02241-0

Endocrine. 2022 Mar 19. doi: 10.1007/s12020-022-03030-x. Online ahead of print.

ABSTRACT

Obesity and overfat are most commonly assessed using the body mass index (BMI), which evaluates “total obesity”, without accounting for body fat distribution. Therefore, several indexes of obesity have been proposed, combining BMI with other measures or singular parameters. The aim of the study was to evaluate the accuracy of a new, simple index that takes into account both BMI and Waist Circumference (WC), Waist Body Mass Index (wBMI) in comparison to BMI, WC e Waist-to-Height Ratio (WHtR) for the identification of overfat and obese patients identified by fat mass percentage (FM%). 2400 non diabetic patients were enrolled. From the analysis carried out it emerges that wBMI, BMI, WC and WHtR all have a statistically significant positive correlation (p-Value < 0.001) with FM%. The multivariate analysis showed the positive relationship between these four indexes and the FM. To assess the accuracy of these indices in diagnosing the condition of overfat and obesity we used the statistical analysis Receiver Operating Characteristic (ROC). The Area Under the Curve (AUC) derived from the ROC showed that for the male gender the indicator with the greatest discriminating capacity of the conditions of overfat and obesity was the WHtR and the wBMI for the female gender. The wBMI is therefore configured as an additional tool at the disposal of the healthcare professional aimed at framing the overfat and obese patient and monitoring him during the course of treatment. Moreover wBMI is an indicator able to provide information about the FM% constituting an accurate tool for the evaluation of the overfat and obese patient.

PMID:35304685 | DOI:10.1007/s12020-022-03030-x

Neurosurg Rev. 2022 Mar 19. doi: 10.1007/s10143-022-01734-2. Online ahead of print.

ABSTRACT

Posterior communicating artery (PCoA) aneurysm is common and sometimes requires microsurgery; however, as data on premammillary artery (PMA) infarction after clipping is scarce, we retrospectively reviewed cases of post-clipping PMA infarction to analyze incidence, independent risk factors of infarction, and anatomical considerations. Data from 569 consecutive patients who underwent microsurgical clipping for unruptured PCoA aneurysm between January 2008 and December 2020 were included. Patients were categorized into the normal or the PMA infarction group. Statistical analyses and comparisons between the two groups were used to determine the influence of various factors. The normal group included 515 patients while the PMA infarction group had 31. The mean length of hospital stay was significantly longer in the PMA infarction group (10.3 ± 9.1 days) than in the normal group (6.5 ± 6.4 days; p < 0.0001). The distribution of Glasgow Outcome Scale at discharge was significantly different between the two groups (p ≤ 0.0001) but was not so at 6 months after discharge (p = 0.0568). Multivariate logistic regression analysis identified aneurysm size (odds ratio [OR], 1.194; 95% confidence interval [CI], 1.08-1.32; p = 0.0005) and medial direction of aneurysm (OR, 4.615; 95% CI, 1.224-17.406; p = 0.0239) as independent risk factors of post-clipping PMA infarction. Surgeons must beware of PMA infarction after clipping of large aneurysms that are medial in direction. Intraoperative verification of the patency of the PCoA and the PMA from various angles using various intraoperative methods can reduce morbidity due to PMA infarction.

PMID:35304692 | DOI:10.1007/s10143-022-01734-2

Med Biol Eng Comput. 2022 Mar 18. doi: 10.1007/s11517-022-02503-5. Online ahead of print.

ABSTRACT

Coronary artery disease (CAD) is among the leading causes of death worldwide. Initial studies require an electrocardiogram stress test often followed by cardiac imaging procedures. However, conventional indices still show insufficient diagnostic performance. We propose quaternion methods to evaluate abnormal alterations during ventricular depolarization and repolarization. Assessment was conducted during a Bruce protocol treadmill stress test and after the end of the exercise. We developed an algorithm to automatically determine the beginning and end of exercise and then, computed the angular and linear velocities. Statistical analysis for feature selection and classification between ischaemic and non-ischaemic patients was used. The most significant markers were maximum linear velocity during ventricular depolarization (p < 5E-9) and maximum angular velocity during the second half of the repolarization loop (p < 5E-16). The latter reached sensitivity / specificity pair of 78 / 92 (AUC 0.89). A linear classifier showed a trend of reduction in cardiac vector velocity in at-risk patients after the end of exercise. The sensitivity / specificity pair reached was 86 / 100. Trajectory deviations of depolarization / repolarization loops that result from ischaemia effects, could be responsible for the observed reduction in dynamic changes during exercise. Further studies could provide non-invasive complementary tools to detect CAD risk. Graphical abstract This data is mandatory, please provide.

PMID:35304671 | DOI:10.1007/s11517-022-02503-5

Cancer Causes Control. 2022 Mar 19. doi: 10.1007/s10552-022-01565-y. Online ahead of print.

ABSTRACT

PURPOSE: Previous studies show that consuming foods preserved by salting increases the risk of gastric cancer, while results on the association between total salt or added salt and gastric cancer are less consistent and vary with the exposure considered. This study aimed to quantify the association between dietary salt exposure and gastric cancer, using an individual participant data meta-analysis of studies participating in the Stomach cancer Pooling (StoP) Project.

METHODS: Data from 25 studies (10,283 cases and 24,643 controls) from the StoP Project with information on salt taste preference (tasteless, normal, salty), use of table salt (never, sometimes, always), total sodium intake (tertiles of grams/day), and high-salt and salt-preserved foods intake (tertiles of grams/day) were used. A two-stage approach based on random-effects models was used to pool study-specific adjusted (sex, age, and gastric cancer risk factors) odds ratios (aORs), and the corresponding 95% confidence intervals (95% CI).

RESULTS: Gastric cancer risk was higher for salty taste preference (aOR 1.59, 95% CI 1.25-2.03), always using table salt (aOR 1.33, 95% CI 1.16-1.54), and for the highest tertile of high-salt and salt-preserved foods intake (aOR 1.24, 95% CI 1.01-1.51) vs. the lowest tertile. No significant association was observed for the highest vs. the lowest tertile of total sodium intake (aOR 1.08, 95% CI 0.82-1.43). The results obtained were consistent across anatomic sites, strata of Helicobacter pylori infection, and sociodemographic, lifestyle and study characteristics.

CONCLUSION: Salty taste preference, always using table salt, and a greater high-salt and salt-preserved foods intake increased the risk of gastric cancer, though the association was less robust with total sodium intake.

PMID:35304655 | DOI:10.1007/s10552-022-01565-y

Brain Inform. 2022 Mar 18;9(1):7. doi: 10.1186/s40708-022-00154-8.

ABSTRACT

Directed transfer function (DTF) is good at characterizing the pairwise interactions from whole brain network and has been applied in discrimination of motor imagery (MI) tasks. Considering the fact that MI electroencephalogram signals are more non-stationary in frequency domain than in time domain, and the activated intensities of α band (8-13 Hz) and β band [13-30 Hz, with [Formula: see text](13-21 Hz) and [Formula: see text](21-30 Hz) included] have considerable differences for different subjects, a dynamic DTF (DDTF) with variable model order and frequency band is proposed to construct the brain functional networks (BFNs), whose information flows and outflows are further calculated as network features and evaluated by support vector machine. Extensive experiments are conducted based on a public BCI competition dataset and a real-world dataset, the highest recognition rate achieve 100% and 86%, respectively. The experimental results suggest that DDTF can reflect the dynamic evolution of BFN, the best subject-based DDTF appears in one of four frequency sub-bands (α, β, [Formula: see text] [Formula: see text]) for discrimination of MI tasks and is much more related to the current and previous states. Besides, DDTF is superior compared to granger causality-based and traditional feature extraction methods, the t-test and Kappa values show its statistical significance and high consistency as well.

PMID:35304652 | DOI:10.1186/s40708-022-00154-8

Eur Radiol. 2022 Mar 18. doi: 10.1007/s00330-022-08579-9. Online ahead of print.

ABSTRACT

OBJECTIVES: To validate a deep learning (DL) algorithm for measurement of skeletal muscular index (SMI) and prediction of overall survival in oncology populations.

METHODS: A retrospective single-center observational study included patients with metastatic renal cell carcinoma between 2007 and 2019. A set of 37 patients was used for technical validation of the algorithm, comparing manual vs DL-based evaluations. Segmentations were compared using mean Dice similarity coefficient (DSC), SMI using concordance correlation coefficient (CCC) and Bland-Altman plots. Overall survivals (OS) were compared using log-rank (Kaplan-Meier) and Mann-Whitney tests. Generalizability of the prognostic value was tested in an independent validation population (N = 87).

RESULTS: Differences between two manual segmentations (DSC = 0.91, CCC = 0.98 for areas) or manual vs. automated segmentation (DSC = 0.90, CCC = 0.98 for areas, CCC = 0.97 for SMI) had the same order of magnitude. Bland-Altman plots showed a mean difference of -3.33 cm² [95%CI: -15.98, 9.1] between two manual segmentations, and -3.28 cm² [95% CI: -14.77, 8.21] for manual vs. automated segmentations. With each method, 20/37 (56%) patients were classified as sarcopenic. Sarcopenic vs. non-sarcopenic groups had statistically different survival curves with median OS of 6.0 vs. 12.5 (p = 0.008) and 6.0 vs. 13.9 (p = 0.014) months respectively for manual and DL methods. In the independent validation population, sarcopenic patients according to DL had a lower OS (10.7 vs. 17.3 months, p = 0.033).

CONCLUSION: A DL algorithm allowed accurate estimation of SMI compared to manual reference standard. The DL-calculated SMI demonstrated a prognostic value in terms of OS.

KEY POINTS: • A deep learning algorithm allows accurate estimation of skeletal muscle index compared to a manual reference standard with a concordance correlation coefficient of 0.97. • Sarcopenic patients according to SMI thresholds after segmentation by the deep learning algorithm had statistically significantly lower overall survival compared to non-sarcopenic patients.

PMID:35304638 | DOI:10.1007/s00330-022-08579-9

Support Care Cancer. 2022 Mar 19. doi: 10.1007/s00520-022-06969-9. Online ahead of print.

ABSTRACT

PURPOSE: Few large-scale studies have focused on the prevalence of symptoms and signs during the last days of patients diagnosed with advanced cancer. Identifying the patterns of specific symptoms according to cancer type is helpful to provide end-of-life care for patients with advanced cancer. We investigated the prevalence and severity of symptoms and signs associated with impending death in patients with advanced cancer.

METHODS: In this secondary analysis of an international multicenter cohort study conducted in three East Asian countries, we compared the severity of symptoms and signs among dying patients in the last 3 days of life according to the type of primary cancer using one-way analysis of variance (ANOVA). Post hoc analysis was conducted for multiple comparisons of each symptom according to the type of primary cancer.

RESULTS: We analyzed 2131 patients from Japan, Korea, and Taiwan. The prevalence of most symptoms and signs were relatively stable from 1 week after admission to the last 3 days of life. According to cancer type, edema of the lower extremities was the most common symptom and fatigue/ ascites were the most severe symptoms in digestive tract cancer. For lung cancer, respiratory secretion was the most prevalent and dyspnea/respiratory secretion were the most severe symptoms.

CONCLUSION: We demonstrated the prevalence and severity of symptoms and signs associated with the impending death of patients with advanced cancer in East Asia. Our study can enable clinicians to recognize the specific symptoms and signs at the very end of life.

PMID:35304634 | DOI:10.1007/s00520-022-06969-9