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Nevin Manimala Statistics

Poor oral hygiene behavior is associated with an increased risk of gastric cancer: a population-based case-control study in China

J Periodontol. 2021 Oct 1. doi: 10.1002/JPER.21-0301. Online ahead of print.

ABSTRACT

BACKGROUND: Poor oral health may be a significant risk factor for gastric cancer (GC), however, previous results are not consistent. Here, we investigated the effect of oral health on GC and effect modification by other factors.

METHODS: We conducted a population-based case-control study in Taixing, China. Participants aged between 40 and 85 years and who had lived in Taixing for at least 5 years were included. The GC cases were confirmed by endoscopy and pathological diagnosis, and the controls were randomly selected using the frequency-matching method. Unconditional logistic regression models were used to derive odds ratios (ORs) and 95% confidence intervals (CIs) of oral health for GC risk after adjusting for confounders and risk factors.

RESULTS: Overall, 901 GC cases and 1972 controls were included. Tooth loss was not significantly associated with an increased risk of GC (yes vs. no, OR = 1.08, 95% CI 0.88-1.33). Compared with toothbrushing at least twice per day, toothbrushing once per day or less was associated with an increased risk of GC (OR = 2.39, 95% CI 1.94-2.94), and was more pronounced in esophagogastric junction cancer and intestinal-type GC. There was no significant interaction between the indicators of oral health and age, sex, tobacco smoking, alcohol drinking, and Helicobacter pylori seropositivity.

CONCLUSION: Poor oral hygiene behavior is associated with an increased risk of GC, and this positive association is consistent across all GC subgroups classified by anatomy and histology. Further studies are needed to explore the possible mechanisms behind this association. This article is protected by copyright. All rights reserved.

PMID:34599526 | DOI:10.1002/JPER.21-0301

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Nevin Manimala Statistics

Flexible and integrated dual carbon sensor for multiplexed detection of nonylphenol and paroxetine in tap water samples

Mikrochim Acta. 2021 Oct 1;188(10):359. doi: 10.1007/s00604-021-05024-4.

ABSTRACT

Multiplex detection of emerging pollutants is essential to improve quality control of water treatment plants, which requires portable systems capable of real-time monitoring. In this paper we describe a flexible, dual electrochemical sensing device that detects nonylphenol and paroxetine in tap water samples. The platform contains two voltammetric sensors, with different working electrodes that were either pretreated or functionalized. Each working electrode was judiciously tailored to cover the concentration range of interest for nonylphenol and paroxetine, and square wave voltammetry was used for detection. An electrochemical pretreatment with sulfuric acid on the printed electrode enabled a selective detection of nonylphenol in 1.0-10 × 10-6 mol L-1 range with a limit of detection of 8.0 × 10-7 mol L-1. Paroxetine was detected in the same range with a limit of detection of 6.7 × 10-7 mol L-1 using the printed electrode coated with a layer of carbon spherical shells. Simultaneous detection of the two analytes was achieved in tap water samples within 1 min, with no fouling and no interference effects. The long-term monitoring capability of the dual sensor was demonstrated in phosphate buffer for 45 days. This performance is statistically equivalent to that of high-performance liquid chromatography (HPLC) for water analysis. The dual-sensor platform is generic and may be extended to other water pollutants and clinical biomarkers in real-time monitoring of the environment and health conditions. Silver pseudo-reference electrodes for paroxetine (REP) and nonylphenol (REN), working electrodes for paroxetine (WP) and nonylphenol (WN), and auxiliary electrode (AE). USP refers to the University of Sao Paulo. “Red” is reduced form and “Oxi” is oxidized form of analytes.

PMID:34599426 | DOI:10.1007/s00604-021-05024-4

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Nevin Manimala Statistics

Benthic macroinvertebrates as reference indicators for monitoring of anthropogenic isotope 137Cs contamination in the marine environment

Environ Sci Pollut Res Int. 2021 Oct 1. doi: 10.1007/s11356-021-16538-y. Online ahead of print.

ABSTRACT

Due to the limited studies dealing with isotopes levels in benthic macroinvertebrates other than Mytilus sp. in period 2011-2018, macroinvertebrates and seawater samples from the southern Baltic Sea were collected. Activity of 137Cs was measured in most common benthic macroinvertebrates inhabiting southern Baltic Sea in the context of choosing the best bioindicators. Taking into account the narrow range of CR coefficients, statistically significant correlation between 137Cs activities in seawater and species, a high frequency of occurrence and thus high biomass and the common occurrence, only Limecola balthica could potentially serve as indicators for shallow and deep-sea areas accordingly. Widely spread Mytillus trossulus was characterised by large size variability in samples and shows no significant correlation between activities in species and seawater and appears not so common as L. balthica.

PMID:34599444 | DOI:10.1007/s11356-021-16538-y

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Nevin Manimala Statistics

Refinement of microbiota analysis of specimens from patients with respiratory infections using next-generation sequencing

Sci Rep. 2021 Oct 1;11(1):19534. doi: 10.1038/s41598-021-98985-8.

ABSTRACT

Next-generation sequencing (NGS) technologies have been applied in bacterial flora analysis. However, there is no standardized protocol, and the optimal clustering threshold for estimating bacterial species in respiratory infection specimens is unknown. This study was conducted to investigate the optimal threshold for clustering 16S ribosomal RNA gene sequences into operational taxonomic units (OTUs) by comparing the results of NGS technology with those of the Sanger method, which has a higher accuracy of sequence per single read than NGS technology. This study included 45 patients with pneumonia with aspiration risks and 35 patients with lung abscess. Compared to Sanger method, the concordance rates of NGS technology (clustered at 100%, 99%, and 97% homology) with the predominant phylotype were 78.8%, 71.3%, and 65.0%, respectively. With respect to the specimens dominated by the Streptococcus mitis group, containing several important causative agents of pneumonia, Bray Curtis dissimilarity revealed that the OTUs obtained at 100% clustering threshold (versus those obtained at 99% and 97% thresholds; medians of 0.35, 0.69, and 0.71, respectively) were more similar to those obtained by the Sanger method, with statistical significance (p < 0.05). Clustering with 100% sequence identity is necessary when analyzing the microbiota of respiratory infections using NGS technology.

PMID:34599245 | DOI:10.1038/s41598-021-98985-8

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Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings

Sci Rep. 2021 Oct 1;11(1):19558. doi: 10.1038/s41598-021-98945-2.

ABSTRACT

To evaluate the acoustic emissions (AE) and kinematic instability (KI) of the osteoarthritic (OA) knee joints, and to compare these signals to radiographic findings. Sixty-six female and 43 male participants aged 44-67 were recruited. On radiography, joint-space narrowing, osteophytes and Kellgren-Lawrence (KL) grade were evaluated. Based on radiography, 54 subjects (the study group) were diagnosed with radiographic OA (KL-grade ≥ 2) while the remaining 55 subjects (KL-grade < 2) formed the control group. AE and KI were recorded with a custom-made prototype and compared with radiographic findings using area-under-curve (AUC) and independent T-test. Predictive logistic regression models were constructed using leave-one-out cross validation. In females, the parameters reflecting consistency of the AE patterns during specific tasks, KI, BMI and age had a significant statistical difference between the OA and control groups (p = 0.001-0.036). The selected AE signals, KI, age and BMI were used to construct a predictive model for radiographic OA with AUC of 90.3% (95% CI 83.5-97.2%) which showed a statistical improvement of the reference model based on age and BMI, with AUC of 84.2% (95% CI 74.8-93.6%). In males, the predictive model failed to improve the reference model. AE and KI provide complementary information to detect radiographic knee OA in females.

PMID:34599226 | DOI:10.1038/s41598-021-98945-2

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Nevin Manimala Statistics

Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria

Nat Commun. 2021 Oct 1;12(1):5759. doi: 10.1038/s41467-021-25910-y.

ABSTRACT

Lassa fever is a longstanding public health concern in West Africa. Recent molecular studies have confirmed the fundamental role of the rodent host (Mastomys natalensis) in driving human infections, but control and prevention efforts remain hampered by a limited baseline understanding of the disease’s true incidence, geographical distribution and underlying drivers. Here, we show that Lassa fever occurrence and incidence is influenced by climate, poverty, agriculture and urbanisation factors. However, heterogeneous reporting processes and diagnostic laboratory access also appear to be important drivers of the patchy distribution of observed disease incidence. Using spatiotemporal predictive models we show that including climatic variability added retrospective predictive value over a baseline model (11% decrease in out-of-sample predictive error). However, predictions for 2020 show that a climate-driven model performs similarly overall to the baseline model. Overall, with ongoing improvements in surveillance there may be potential for forecasting Lassa fever incidence to inform health planning.

PMID:34599162 | DOI:10.1038/s41467-021-25910-y

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Nevin Manimala Statistics

The Brazilian Initiative on Precision Medicine (BIPMed): fostering genomic data-sharing of underrepresented populations

NPJ Genom Med. 2020 Oct 2;5(1):42. doi: 10.1038/s41525-020-00149-6.

ABSTRACT

The development of precision medicine strategies requires prior knowledge of the genetic background of the target population. However, despite the availability of data from admixed Americans within large reference population databases, we cannot use these data as a surrogate for that of the Brazilian population. This lack of transferability is mainly due to differences between ancestry proportions of Brazilian and other admixed American populations. To address the issue, a coalition of research centres created the Brazilian Initiative on Precision Medicine (BIPMed). In this study, we aim to characterise two datasets obtained from 358 individuals from the BIPMed using two different platforms: whole-exome sequencing (WES) and a single nucleotide polymorphism (SNP) array. We estimated allele frequencies and variant pathogenicity values from the two datasets and compared our results using the BIPMed dataset with other public databases. Here, we show that the BIPMed WES dataset contains variants not included in dbSNP, including 6480 variants that have alternative allele frequencies (AAFs) >1%. Furthermore, after merging BIPMed WES and SNP array data, we identified 809,589 variants (47.5%) not present within the 1000 Genomes dataset. Our results demonstrate that, through the incorporation of Brazilian individuals into public genomic databases, BIPMed not only was able to provide valuable knowledge needed for the implementation of precision medicine but may also enhance our understanding of human genome variability and the relationship between genetic variation and disease predisposition.

PMID:34599191 | DOI:10.1038/s41525-020-00149-6

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Nevin Manimala Statistics

The contribution of personal audio system use and commuting by bus on daily noise dose

Noise Health. 2021 Jul-Sep;23(110):87-93. doi: 10.4103/nah.NAH_81_20.

ABSTRACT

BACKGROUND: For many young people, exposure to music from personal audio system use may represent a significant component of daily noise dose. Moreover, there is increasing concern for the hearing of those who listen at high volumes. The purpose of this study was to determine the noise levels experienced on commuter buses, and to investigate how these impact on the volume-setting behavior of young adult personal audio system users.

METHODS: A questionnaire was used to probe transport use, personal audio system-listening behaviors and the extent of understanding about noise-induced hearing loss. The influence of bus noise on volume-setting behavior was determined by measuring, in a lab setting, the sound-level preferences of participants when listening to their favorite song, a generic song, or a podcast in the absence and presence of various levels of bus noise, simulated using output-adjusted recordings made of bus noise. Statistical analysis was conducted using analysis of variance.

RESULTS: While the bus noise itself was below 85 dB Leq, as the sound level of the buses increased, so did the percentage of commuters who were found to exceed the equivalent of 8 hours of exposure at 85 dB Leq.

IMPLICATIONS: Investment in buses with lower noise levels or the use of noise-canceling or noise-occluding headphones would help to reduce the likelihood of noise-induced hearing loss for bus commuters.

PMID:34599112 | DOI:10.4103/nah.NAH_81_20

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Nevin Manimala Statistics

6-month follow-up of VIALE-C demonstrates improved and durable efficacy in patients with untreated AML ineligible for intensive chemotherapy (141/150)

Blood Cancer J. 2021 Oct 1;11(10):163. doi: 10.1038/s41408-021-00555-8.

ABSTRACT

VIALE-C compared the safety and efficacy of venetoclax or placebo plus low-dose cytarabine (+LDAC) in patients with untreated AML ineligible for intensive chemotherapy. Overall, 211 patients were enrolled (n = 143, venetoclax; n = 68, placebo). At the primary analysis, the study did not meet its primary endpoint of a statistically significant improvement in overall survival (OS), however, ~60% of patients had been on study for ≤6-months. Here, we present an additional 6-months of follow-up of VIALE-C (median follow-up 17.5 months; range 0.1-23.5). Median OS was (venetoclax +LDAC vs. placebo +LDAC) 8.4 vs. 4.1 months (HR = 0.70, 95% CI 0.50,0.99; P = 0.040); a 30% reduction in the risk of death with venetoclax. Complete response (CR)/CR with incomplete hematologic recovery (CRi) rates were 48.3% vs. 13.2%. Transfusion independence rates (RBC) were 43% vs.19% and median event-free survival was 4.9 vs. 2.1 months (HR = 0.61; 95% CI 0.44,0.84; P = 0.002). These results represent improved efficacy over the primary analysis. Incidence of grade ≥3 adverse events were similar between study arms and overall safety profiles were comparable to the primary analysis. These data support venetoclax +LDAC as a frontline treatment option for patients with AML ineligible for intensive chemotherapy.This trial was registered at www.clinicaltrials.gov as #NCT03069352.

PMID:34599139 | DOI:10.1038/s41408-021-00555-8

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Nevin Manimala Statistics

The overlap gap property: A topological barrier to optimizing over random structures

Proc Natl Acad Sci U S A. 2021 Oct 12;118(41):e2108492118. doi: 10.1073/pnas.2108492118.

ABSTRACT

The problem of optimizing over random structures emerges in many areas of science and engineering, ranging from statistical physics to machine learning and artificial intelligence. For many such structures, finding optimal solutions by means of fast algorithms is not known and often is believed not to be possible. At the same time, the formal hardness of these problems in the form of the complexity-theoretic NP-hardness is lacking. A new approach for algorithmic intractability in random structures is described in this article, which is based on the topological disconnectivity property of the set of pairwise distances of near-optimal solutions, called the Overlap Gap Property. The article demonstrates how this property 1) emerges in most models known to exhibit an apparent algorithmic hardness; 2) is consistent with the hardness/tractability phase transition for many models analyzed to the day; and, importantly, 3) allows to mathematically rigorously rule out a large class of algorithms as potential contenders, specifically the algorithms that exhibit the input stability (insensitivity).

PMID:34599090 | DOI:10.1073/pnas.2108492118