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Nevin Manimala Statistics

Association of ABO blood group with COVID-19 severity, acute phase reactants and mortality

PLoS One. 2021 Dec 14;16(12):e0261432. doi: 10.1371/journal.pone.0261432. eCollection 2021.

ABSTRACT

INTRODUCTION: Coronavirus disease 2019 (COVID-19) is the ongoing pandemic with multitude of manifestations and association of ABO blood group in South-East Asian population needs to be explored.

METHODS: It was a retrospective study of patients with COVID-19. Blood group A, B, O, and AB were identified in every participant, irrespective of their RH type and allotted groups 1, 2,3, and 4, respectively. Correlation between blood group and lab parameters was presented as histogram distributed among the four groups. Multivariate regression and logistic regression were used for inferential statistics.

RESULTS: The cohort included 1067 patients: 521 (48.8%) participants had blood group O as the prevalent blood type. Overall, 10.6% COVID-19-related mortality was observed at our center. Mortality was 13.9% in blood group A, 9.5% in group B, 10% in group C, and 10.2% in AB blood group (p = 0.412). IL-6 was elevated in blood group A (median [IQR]: 23.6 [17.5,43.8]), Procalcitonin in blood group B (median [IQR]: 0.54 [0.3,0.7]), D-dimers and CRP in group AB (median [IQR]: 21.5 [9,34]; 24 [9,49], respectively). Regarding severity of COVID-19 disease, no statistical difference was seen between the blood groups. Alteration of the acute phase reactants was not positively associated with any specific blood type.

CONCLUSION: In conclusion, this investigation did not show significant association of blood groups with severity and of COVID-19 disease and COVID-19-associated mortality.

PMID:34905588 | DOI:10.1371/journal.pone.0261432

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Nevin Manimala Statistics

Prostate weight and prostate cancer outcomes after radical prostatectomy: Results from the SEARCH cohort study

Prostate. 2021 Dec 14. doi: 10.1002/pros.24283. Online ahead of print.

ABSTRACT

BACKGROUND: Smaller prostates have been linked to unfavorable clinical characteristics and poor short-term outcomes following radical prostatectomy (RP). We examined the relation between prostate weight at RP and prostate cancer (PC) outcomes post-RP.

METHODS: Men in the SEARCH cohort undergoing RP between 1988 and 2017 (N = 6242) were studied for PC-specific mortality (PCSM) as the primary outcome, and for biochemical recurrence (BCR), castration-resistant PC (CRPC) and metastasis as secondary outcomes. Hazard ratios (HR) and 95% confidence intervals (CI) were determined for associations between prostate weight and outcomes using Fine-Gray competing risk regression multivariable analyses. Sensitivity analyses were also carried out following exclusion of: (i) men with extreme prostate weights (<20 g and ≥100 g); and (ii) men with elevated prostate specific antigen (PSA) levels.

RESULTS: Median values for age, pre-RP PSA and prostate weight were 63 years, 6.6 ng/ml, and 42.0 g, respectively. During a median follow-up of 7.9 years, 153 (3%) died from PC, 2103 (34%) had BCR, 203 (3%) developed CRPC, and 289 (5%) developed metastases. Prostate weight was not associated with PCSM in the main analyses (multivariable HR = 1.43; 95% CI: 0.87-2.34) or in sensitivity analyses. Prostate weight was inversely associated with BCR in the main analyses (multivariable HR = 0.70; 95%CI: 0.61-0.79) which was unchanged in sensitivity analyses. HRs for prostate weight and CRPC and metastasis were elevated but statistical significance was not attained. Similar results were observed in sensitivity analyses.

CONCLUSIONS: Inconsistent results for prostate weight and short-term vs longer-term outcomes highlight the need to better understand the complex biology leading to prostate size and the relevance of prostate size as a predictor of PC outcomes.

PMID:34905632 | DOI:10.1002/pros.24283

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Nevin Manimala Statistics

Minimum distance quantile regression for spatial autoregressive panel data models with fixed effects

PLoS One. 2021 Dec 14;16(12):e0261144. doi: 10.1371/journal.pone.0261144. eCollection 2021.

ABSTRACT

This paper considers the quantile regression model with individual fixed effects for spatial panel data. Efficient minimum distance quantile regression estimators based on instrumental variable (IV) method are proposed for parameter estimation. The proposed estimator is computational fast compared with the IV-FEQR estimator proposed by Dai et al. (2020). Asymptotic properties of the proposed estimators are also established. Simulations are conducted to study the performance of the proposed method. Finally, we illustrate our methodologies using a cigarettes demand data set.

PMID:34905573 | DOI:10.1371/journal.pone.0261144

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Nevin Manimala Statistics

Prevalence and factors for food allergy in different populations from different regions: A protocol for a systematic review and meta-analysis

PLoS One. 2021 Dec 14;16(12):e0261092. doi: 10.1371/journal.pone.0261092. eCollection 2021.

ABSTRACT

BACKGROUND: To determine the prevalence of food allergy (FA) and factors associated with these occurrences in different populations from different regions.

MATERIALS AND METHODS: The literature search will be conducted via Pubmed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Vip and Wanfang databases. Ratio rate (RR), odds ratio (OR) and 95% confidence intervals (CIs) will be adopted to evaluate prevalence and factors for FA in different populations from different regions. When the heterogeneity is small (I2<50%), the fixed effect model will be analyzed, otherwise, random effects model analysis will be performed. When the heterogeneity is large (I2≥50%), Meta regression will be used to explore the sources of inter-study heterogeneity. When the heterogeneity is large (I2≥50%) and the results are statistically significant (P<0.05), subgroup analysis will be analyzed based on age, gender, race/region, literature quality and other factors. Funnel plots will be used to reflect reporting bias and the Begg’s test will be used to test the symmetry of the funnel plots. When publication bias occurs, “cut-and-fill” method will be adopted to adjust publication bias. And sensitivity analysis will be performed for all outcome indicators.

DISCUSSION: This meta-analysis will evaluate the prevalence of FA and factors associated with these occurrences in different populations from different regions on the basis of existing evidences. Our study may be crucial to analyze similarities and differences regarding FA between different individuals from diverse regions and eventually define preventive or diagnostic approaches specifically tailored to certain populations and regions.

SYSTEMATIC REVIEW REGISTRATION: OSF registration number: 10.17605/OSF.IO/VQXU9.

PMID:34905577 | DOI:10.1371/journal.pone.0261092

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Nevin Manimala Statistics

Heat transfer analysis of the mixed convective flow of magnetohydrodynamic hybrid nanofluid past a stretching sheet with velocity and thermal slip conditions

PLoS One. 2021 Dec 14;16(12):e0260854. doi: 10.1371/journal.pone.0260854. eCollection 2021.

ABSTRACT

The present study is related to the analytical investigation of the magnetohydrodynamic flow of Ag – MgO/ water hybrid nanoliquid with slip conditions via an extending surface. The thermal radiation and Joule heating effects are incorporated within the existing hybrid nanofluid model. The system of higher-order partial differential equations is converted to the nonlinear system of ordinary differential equations by interpreting the similarity transformations. With the implementation of a strong analytical method called HAM, the solution of resulting higher-order ordinary differential equations is obtained. The results of the skin friction coefficient, Nusselt number, velocity profile, and temperature profile of the hybrid nanofluid for varying different flow parameters are attained in the form of graphs and tables. Some important outcomes showed that the Nusselt number and skin friction are increased with the enhancement in Eckert number, stretching parameter, heat generation parameter and radiation parameter for both slip and no-slip conditions. The thermal profile of the hybrid nanofluid is higher for suction effect but lower for Eckert number, stretching parameter, magnetic field, heat generation and radiation parameter. For both slip and no-slip conditions, the hybrid nanofluid velocity shows an upward trend for both the stretching and mixed convection parameters.

PMID:34905556 | DOI:10.1371/journal.pone.0260854

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Nevin Manimala Statistics

Hybrid pointer networks for traveling salesman problems optimization

PLoS One. 2021 Dec 14;16(12):e0260995. doi: 10.1371/journal.pone.0260995. eCollection 2021.

ABSTRACT

In this work, we proposed a hybrid pointer network (HPN), an end-to-end deep reinforcement learning architecture is provided to tackle the travelling salesman problem (TSP). HPN builds upon graph pointer networks, an extension of pointer networks with an additional graph embedding layer. HPN combines the graph embedding layer with the transformer’s encoder to produce multiple embeddings for the feature context. We conducted extensive experimental work to compare HPN and Graph pointer network (GPN). For the sack of fairness, we used the same setting as proposed in GPN paper. The experimental results show that our network significantly outperforms the original graph pointer network for small and large-scale problems. For example, it reduced the cost for travelling salesman problems with 50 cities/nodes (TSP50) from 5.959 to 5.706 without utilizing 2opt. Moreover, we solved benchmark instances of variable sizes using HPN and GPN. The cost of the solutions and the testing times are compared using Linear mixed effect models. We found that our model yields statistically significant better solutions in terms of the total trip cost. We make our data, models, and code publicly available https://github.com/AhmedStohy/Hybrid-Pointer-Networks.

PMID:34905571 | DOI:10.1371/journal.pone.0260995

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Nevin Manimala Statistics

Bayesian inference of local government audit outcomes

PLoS One. 2021 Dec 14;16(12):e0261245. doi: 10.1371/journal.pone.0261245. eCollection 2021.

ABSTRACT

The scandals in publicly listed companies have highlighted the large losses that can result from financial statement fraud and weak corporate governance. Machine learning techniques have been applied to automatically detect financial statement fraud with great success. This work presents the first application of a Bayesian inference approach to the problem of predicting the audit outcomes of financial statements of local government entities using financial ratios. Bayesian logistic regression (BLR) with automatic relevance determination (BLR-ARD) is applied to predict audit outcomes. The benefit of using BLR-ARD, instead of BLR without ARD, is that it allows one to automatically determine which input features are the most relevant for the task at hand, which is a critical aspect to consider when designing decision support systems. This work presents the first implementation of BLR-ARD trained with Separable Shadow Hamiltonian Hybrid Monte Carlo, No-U-Turn sampler, Metropolis Adjusted Langevin Algorithm and Metropolis-Hasting algorithms. Unlike the Gibbs sampling procedure that is typically employed in sampling from ARD models, in this work we jointly sample the parameters and the hyperparameters by putting a log normal prior on the hyperparameters. The analysis also shows that the repairs and maintenance as a percentage of total assets ratio, current ratio, debt to total operating revenue, net operating surplus margin and capital cost to total operating expenditure ratio are the important features when predicting local government audit outcomes using financial ratios. These results could be of use for auditors as focusing on these ratios could potentially speed up the detection of fraudulent behaviour in municipal entities, and improve the speed and quality of the overall audit.

PMID:34905553 | DOI:10.1371/journal.pone.0261245

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Nevin Manimala Statistics

Laboratory diagnostic, epidemiological, and clinical characteristics of human leptospirosis in Okinawa Prefecture, Japan, 2003-2020

PLoS Negl Trop Dis. 2021 Dec 14;15(12):e0009993. doi: 10.1371/journal.pntd.0009993. eCollection 2021 Dec.

ABSTRACT

BACKGROUND: Leptospirosis is considered an endemic disease among agricultural workers in Okinawa Prefecture, which is the southernmost part of Japan and has a subtropical climate, but data on the current status and trend of this disease are scarce.

METHODOLOGY/PRINCIPAL FINDINGS: We conducted a retrospective study of clinically suspected leptospirosis patients whose sample and information were sent to the Okinawa Prefectural Institute of Health and Environment from November 2003 to December 2020. Laboratory diagnosis was established using culture, nested polymerase chain reaction (PCR), and/or microscopic agglutination test (MAT) with blood, cerebrospinal fluid, and/or urine samples. Statistical analyses were performed to compare the epidemiological information, clinical features, and sensitivities of diagnostic methods among laboratory-confirmed cases. Serogroups and the species of Leptospira isolates were determined by MAT using 13 antisera and flaB sequencing. A total of 531 clinically suspected patients were recruited, among whom 246 (46.3%) were laboratory confirmed to have leptospirosis. Among the confirmed cases, patients aged 20-29 years (22.4%) and male patients (85.7%) were the most common. The most common estimated sources of infection were recreation (44.5%) and labor (27.8%) in rivers. Approximately half of the isolates were of the L. interrogans serogroup Hebdomadis. The main clinical symptoms were fever (97.1%), myalgia (56.3%), and conjunctival hyperemia (52.2%). Headache occurred significantly more often in patients with Hebdomadis serogroup infections than those with other serogroup infections. The sensitivities of culture and PCR exceeded 65% during the first 6 days, while the sensitivity of MAT surpassed that of culture and PCR in the second week after onset. PCR using blood samples was a preferable method for the early diagnosis of leptospirosis.

CONCLUSIONS/SIGNIFICANCE: The results of this study will support clinicians in the diagnosis and treatment of undifferentiated febrile patients in Okinawa Prefecture as well as patients returning from Okinawa Prefecture.

PMID:34905535 | DOI:10.1371/journal.pntd.0009993

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Nevin Manimala Statistics

Accuracy and Repeatability of Internet-ordered Spectacle Lenses

Optom Vis Sci. 2021 Dec 1;98(12):1340-1347. doi: 10.1097/OPX.0000000000001817.

ABSTRACT

SIGNIFICANCE: Both consumers and eye care practitioners need to know how well online optical vendors conform with the accepted standards for quality and safety. We found that almost 1 in 10 prescriptions failed to meet national standards, which is a significant improvement over previous studies.

PURPOSE: The purpose of this study was to assess the accuracy and repeatability of spectacle lens prescriptions ordered from a sample of online vendors.

METHODS: Spectacle lens prescriptions were ordered by paid participants with no optical training who were masked to the study objectives. The prescription powers ordered (sphere, cylinder, and axis) were statistically sampled from 1000 previously filled prescriptions. A total of 100 orders were placed with each of three online vendors that included a range of high- and low-powered single vision lenses and progressive addition lenses, and duplicate orders to assess repeatability. An independent certified testing laboratory was contracted to assess conformance with voluntary consensus standards (ANSI Z80.1-2015) and Food and Drug Administration drop-ball safety testing. Lenses not meeting these standards were counted as failures.

RESULTS: The overall failure rates for the three vendors were 11.2 ± 3.2% (vendor A), 8.0 ± 2.7% (vendor B), and 8.2 ± 2.8% (vendor C). The repeatability for 20 prescriptions ordered five times from each vendor was high, with correlation coefficients greater than 90%. There were no observed lens impact failures.

CONCLUSIONS: Almost 1 in 10 spectacle lens prescriptions ordered from three online vendors failed to meet national standards for optical quality. Additional studies are needed to assess eyewear ordered online for other important patient-specific variables that can influence visual performance and ultimate acceptability of prescription eyewear, such as lens placement relative to the visual axis, frame fit, and cosmetic acceptability.

PMID:34905522 | DOI:10.1097/OPX.0000000000001817

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Nevin Manimala Statistics

The Effect of Intravitreal Ocriplasmin on Hue Discrimination

Optom Vis Sci. 2021 Dec 1;98(12):1394-1399. doi: 10.1097/OPX.0000000000001811.

ABSTRACT

SIGNIFICANCE: We report 13 patients who received ocriplasmin for symptomatic vitreomacular adhesion. Farnsworth-Munsell 100 (FM 100) hue test total error score (TES) increased from baseline to month 1, before recovering at year 1. Ocriplasmin may alter hue discrimination.

PURPOSE: This study aimed to determine whether intravitreal ocriplasmin affects hue discrimination.

METHODS: Thirteen patients with symptomatic vitreomacular adhesion received intravitreal ocriplasmin 125 μg. Patients underwent full ocular examination, optical coherence tomography, and FM 100 hue test at baseline, 1 week, 1 month, and 1 year.

RESULTS: Mean age was 74.8 years. The median baseline FM 100 TES was similar in the injected and fellow eyes (272 vs. 252, respectively). Median TES in the injected eye increased from 272 to 348 at 1 week (median difference compared with baseline, +52.0; 98.8% confidence interval of difference, -64.0 to 184.0; P = .29), decreased to 324 at 1 month (median difference compared with baseline, -4.0; 98.8% confidence interval of difference, -44.0 to 256.0; P = .40), and decreased to 268 at 1 year (median difference compared with baseline, -108.0; 93.8% confidence interval of difference, -200.0 to 52.0; P = .19). Two patients (15.4%) had anatomic release of vitreomacular adhesion, occurring within 1 month of injection.

CONCLUSIONS: Ocriplasmin may alter hue discrimination, but larger studies are required to provide sufficient power to detect or exclude a statistically significant effect. Longer follow-up is needed to determine the duration of any effect.

PMID:34905526 | DOI:10.1097/OPX.0000000000001811