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Nevin Manimala Statistics

Potential propagation of agricultural pesticide exposure and effects to upstream sections in a biosphere reserve

Sci Total Environ. 2022 May 4:155688. doi: 10.1016/j.scitotenv.2022.155688. Online ahead of print.

ABSTRACT

In the last decades, several studies have shown that pesticides frequently occur above water quality thresholds in small streams draining arable land and are associated with changes in invertebrate communities. However, we know little about the potential propagation of pesticide effects from agricultural stream sections to least impacted stream sections that can serve as refuge areas. We sampled invertebrates and pesticides along six small streams in south-west Germany. In each stream, the sampling was conducted at an agricultural site, at an upstream forest site (later considered as “refuge”), and at a transition zone between forest and agriculture (later considered as “edge”). Pesticide exposure was higher and the proportion of pesticide-sensitive species (SPEARpesticides) was lower in agricultural sites compared to edge and refuge sites. Notwithstanding, at some edge and refuge sites, which were considered as being least impacted, we estimated unexpected pesticide toxicity (sum toxic units) exceeding thresholds where field studies suggested adverse effects on freshwater invertebrates. We conclude that organisms in forest sections within a few kilometres upstream of agricultural areas can be exposed to ecologically relevant pesticide levels. In addition, although not statistically significant, the abundance of pesticide-sensitive taxa was slightly lower in edge compared to refuge sites, indicating a potential influence of adjacent agriculture. Future studies should further investigate the influence of spatial relationships, such as the distance between refuge and agriculture, for the propagation of pesticide effects and focus on the underlying mechanisms.

PMID:35525352 | DOI:10.1016/j.scitotenv.2022.155688

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Nevin Manimala Statistics

Compelling new electrocardiographic markers for automatic diagnosis

Comput Methods Programs Biomed. 2022 Apr 22;221:106807. doi: 10.1016/j.cmpb.2022.106807. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVE: The automatic diagnosis of heart diseases from the electrocardiogram (ECG) signal is crucial in clinical decision-making. However, the use of computer-based decision rules in clinical practice is still deficient, mainly due to their complexity and a lack of medical interpretation. The objetive of this research is to address these issues by providing valuable diagnostic rules that can be easily implemented in clinical practice. In this research, efficient diagnostic rules friendly in clinical practice are provided.

METHODS: In this paper, interesting parameters obtained from the ECG signals analysis are presented and two simple rules for automatic diagnosis of Bundle Branch Blocks are defined using new markers derived from the so-called FMMecg delineator. The main advantages of these markers are the good statistical properties and their clear interpretation in clinically meaningful terms.

RESULTS: High sensitivity and specificity values have been obtained using the proposed rules with data from more than 35,000 patients from well known benchmarking databases. In particular, to identify Complete Left Bundle Branch Blocks and differentiate this condition from subjects without heart diseases, sensitivity and specificity values ranging from 93% to 99% and from 96% to 99%, respectively. The new markers and the automatic diagnosis are easily available at https://fmmmodel.shinyapps.io/fmmEcg/, an app specifically developed for any given ECG signal.

CONCLUSIONS: The proposal is different from others in the literature and it is compelling for three main reasons. On the one hand, the markers have a concise electrocardiographic interpretation. On the other hand, the diagnosis rules have a very high accuracy. Finally, the markers can be provided by any device that registers the ECG signal and the automatic diagnosis is made straightforwardly, in contrast to the black-box and deep learning algorithms.

PMID:35525215 | DOI:10.1016/j.cmpb.2022.106807

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Nevin Manimala Statistics

Environmental sustainable mathematically processed UV spectroscopic methods for quality control analysis of remogliflozin and teneligliptin: Evaluation of greenness and whiteness

Spectrochim Acta A Mol Biomol Spectrosc. 2022 Apr 28;278:121303. doi: 10.1016/j.saa.2022.121303. Online ahead of print.

ABSTRACT

Environmental sustainable analytical methods were developed by mathematical modification of UV absorption spectra for quality control study of multicomponent formulations consisting of remogliflozin (REM) and teneligliptin (TEN), with good sensitivity and selectivity. Then analytes were quantified by measuring the peak amplitude of the first derivative spectra at zero crossing points at 230.2 nm and 213.8 nm for REG and TEN in the first derivative method. The second method involves the formation of ratio spectra and taking the absorption difference at two selected wavelengths of peak and trough of a spectrum. In the ratio first derivative method peak amplitudes were measured at 235.2 nm and 259.1 nm for simultaneous quantification of REM and TEN respectively. The fourth method was based on the measurement of the peak amplitude of zero-order spectra of analytes generated from the mixture spectrum by subtraction of a constant from the ratio spectrum followed by multiplication with divisor spectrum, Further, the proposed methods were validated systematically to confirm the linearity, precession, accuracy, sensitivity, and selectivity. Finally, validated UV spectroscopic methods were applied for simultaneous quantification of REM and TEN from formulation, and laboratory mixed solutions and statistically compared with the reported HPLC method. Further, recently developed AGREE, Hexagonal greenness and white analytical chemistry, a whiteness evaluation tools were applied to the proposed UV spectroscopic methods and found to be safer analytical methods, compared to the reported expensive, time-consuming and toxic HPLC method. Hence, proposed UV spectroscopic methods could be used for routine quality control of formulations containing REM and TEN.

PMID:35525182 | DOI:10.1016/j.saa.2022.121303

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Nevin Manimala Statistics

Standard care versus individualized blood pressure targets among critically ill patients with shock: A multicenter feasibility and preliminary efficacy study

J Crit Care. 2022 May 4;70:154052. doi: 10.1016/j.jcrc.2022.154052. Online ahead of print.

ABSTRACT

PURPOSE: Emerging evidence suggests that minimizing mean perfusion pressure (MPP) deficit during vasopressor therapy for shock can potentially reduce adverse kidney-related outcomes in ICU. We assessed feasibility and preliminary efficacy of individualizing MPP targets based on patients’ own pre-illness basal-MPP among vasopressor-treated patients with shock.

MATERIAL AND METHODS: In this prospective before-and-after trial, 31 patients during the ‘before’/observational phase and 31 patients during the ‘after’/intervention phase were enrolled at two tertiary-level Australian ICUs. Feasibility endpoint was time-weighted average MPP-deficit during vasopressor therapy. Preliminary efficacy outcomes were new significant AKI, major adverse kidney events within 14 days (MAKE-14), and 90-day mortality.

RESULTS: Patients in the after group had lower MPP-deficit (median 18%, [interquartile range [IQR]: 11-23] vs. 4%, [IQR: 2-9], p < 0.001) and lower incidence of new significant AKI (8/31 [26%] vs. 1/31 [3%], p = 0.01) than the before group. The between-group differences in MAKE-14 (9/31 [29%] vs. 4/31 [13%], p = 0.12) and 90-day mortality (6/31 [19%] vs. 2/31 [6%], p = 0.13) were not statistically significant.

CONCLUSIONS: An individualized blood pressure target strategy during vasopressor therapy in ICU was feasible and appeared to be efficacious in this preliminary study. Testing this strategy in a larger randomized controlled trial is warranted.

STUDY REGISTRATION: ACTRN12617001459314.

PMID:35525132 | DOI:10.1016/j.jcrc.2022.154052

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Nevin Manimala Statistics

Diagnostic performance for detecting bone marrow edema of the hip on dual-energy CT: Deep learning model vs. musculoskeletal physicians and radiologists

Eur J Radiol. 2022 Apr 30;152:110337. doi: 10.1016/j.ejrad.2022.110337. Online ahead of print.

ABSTRACT

PURPOSE: To compare the diagnostic performance of a deep learning (DL) model with that of musculoskeletal physicians and radiologists for detecting bone marrow edema on dual-energy CT (DECT).

METHOD: This retrospective study included adult patients underwent hip DECT and MRI within 1 month between April 2018 and December 2020. A total of 8709 DECT images were divided into training/validation (85%, 7412 augmented images) and test (15%, 1297 images) sets. The images were labeled as present/absent bone marrow edema, with MRI as reference standard. We developed and trained a DL model to detect bone marrow edema from DECT images. Thereafter, DL model, two orthopedic surgeons, and three radiologists evaluated the presence of bone marrow edema on every test image. The diagnostic performance of the DL model and readers was compared. Inter-reader agreement was calculated using Fleiss-kappa statistics.

RESULTS: A total of 73 patients (mean age, 59 ± 12 years; 38 female) were included. The DL model had a significantly higher area under the curve (AUC, 0.84 vs. 0.61-0.70, p < 0.001) and sensitivity (79% vs. 29-66%) without loss of specificity (90% vs. 74-93%) than the non- or less-experienced readers and similar to the trained reader (AUC, 0.83, p = 0.402; sensitivity, 71%; specificity, 94%). Additionally, AUCs were strongly dependent on the reader’s DECT experience. Inter-reader agreement was fair (κ = 0.303).

CONCLUSION: The DL model showed better diagnostic performance than less-experienced physicians in detecting bone marrow edema on DECT and comparable performance to a trained radiologist.

PMID:35525130 | DOI:10.1016/j.ejrad.2022.110337

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Output-based assessment of herd-level freedom from infection in endemic situations: Application of a Bayesian Hidden Markov model

Prev Vet Med. 2022 Apr 30;204:105662. doi: 10.1016/j.prevetmed.2022.105662. Online ahead of print.

ABSTRACT

Countries have implemented control programmes (CPs) for cattle diseases such as bovine viral diarrhoea virus (BVDV) that are tailored to each country-specific situation. Practical methods are needed to assess the output of these CPs in terms of the confidence of freedom from infection that is achieved. As part of the STOC free project, a Bayesian Hidden Markov model was developed, called STOC free model, to estimate the probability of infection at herd-level. In the current study, the STOC free model was applied to BVDV field data in four study regions, from CPs based on ear notch samples. The aim of this study was to estimate the probability of herd-level freedom from BVDV in regions that are not (yet) free. We additionally evaluated the sensitivity of the parameter estimates and predicted probabilities of freedom to the prior distributions for the different model parameters. First, default priors were used in the model to enable comparison of model outputs between study regions. Thereafter, country-specific priors based on expert opinion or historical data were used in the model, to study the influence of the priors on the results and to obtain country-specific estimates. The STOC free model calculates a posterior value for the model parameters (e.g. herd-level test sensitivity and specificity, probability of introduction of infection) and a predicted probability of infection. The probability of freedom from infection was computed as one minus the probability of infection. For dairy herds that were considered free from infection within their own CP, the predicted probabilities of freedom were very high for all study regions ranging from 0.98 to 1.00, regardless of the use of default or country-specific priors. The priors did have more influence on two of the model parameters, herd-level sensitivity and the probability of remaining infected, due to the low prevalence and incidence of BVDV in the study regions. The advantage of STOC free model compared to scenario tree modelling, the reference method, is that actual data from the CP can be used and estimates are easily updated when new data becomes available.

PMID:35525066 | DOI:10.1016/j.prevetmed.2022.105662

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Nevin Manimala Statistics

Additive serotonergic genetic sensitivity and cortisol reactivity to lab-based social evaluative stress: Influence of severity across two samples

Psychoneuroendocrinology. 2022 Apr 14;142:105767. doi: 10.1016/j.psyneuen.2022.105767. Online ahead of print.

ABSTRACT

Prior work demonstrates that an additive serotonergic multilocus genetic profile score (MGPS) predicts amplified risk for depression following significant life stress, and that it interacts with elevations in the cortisol awakening response to predict depression. The serotonin system and HPA-axis have bidirectional influence, but whether this MGPS predicts acute cortisol reactivity, which might then serve as a mechanism for depression, is unknown. Our prior work suggests that depression risk factors predict blunted cortisol reactivity to explicit negative evaluative lab-based stress. Thus, we hypothesized that a 4-variant serotonergic MGPS (three SNPs from the original 5-variant version plus 5HTTLPR) would predict blunted cortisol reactivity to explicit negative evaluative stress versus a control. In Sample 1, growth curve modeling showed that the MGPS predicted heightened cortisol reactivity (p = 0.0001) in an explicitly negative evaluative Trier Social Stress Test variant (TSST) versus a control condition among non-depressed emerging adults (N = 152; 57% female). In Sample 2, 125 males completed the Socially Evaluative Cold Pressor Test (SECPT), an ambiguously negative evaluative manipulation; findings displayed a similar pattern but did not reach statistical significance (ps.075-.091). A participant-level meta-analysis of the two samples demonstrated a significant effect of negative evaluation severity, such that the MGPS effect size on reactivity increased linearly from control to SECPT to an explicitly negative evaluative TSST. Findings indicate that this MGPS contributes to sensitivity to social threat and that cortisol dysregulation in the context of social stress may be one mechanism by which this MGPS contributes to depression.

PMID:35525123 | DOI:10.1016/j.psyneuen.2022.105767

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Meta-analysis of operational performance and response metrics of microbial fuel cells (MFCs) fed with complex food waste

J Environ Manage. 2022 May 4;315:115152. doi: 10.1016/j.jenvman.2022.115152. Online ahead of print.

ABSTRACT

This study reports on a meta-analysis covering the impact of design and operating factors on published MFC performance data to inform MFC research and implementations. Factors of substrate composition, operating phase, electrode material, configuration, and pre-treatments employed were considered. The meta-analysis results indicate that dual-chamber MFCs overall achieve 18% higher COD removal and 73% higher coulombic efficiencies over that of single-chamber MFCs. MFCs using a solid operating phase achieved ˃38% higher coulombic efficiencies than those using a liquid operating phase. Statistical analyses comparing brush vs flat surface anodes revealed that brush anodes can achieve 130% higher power density than flat surface anodes. The use of a platinum catalyst was found to improve power density, as opposed to catalyst-free cathodes. However, coulombic efficiency is less likely to be influenced by the catalyst used and more likely to be dependent on the inclusion of a membrane separator. The meta-analysis results indicate that even in the presence of expensive catalysts like platinum, membrane separators are of prime importance to maintain a stable MFC operation on a long-term basis and achieve high coulombic efficiency in an MFC. Results presented in this paper outline the impact of MFC design choices on performance and can be used to guide future MFC research. These findings can be beneficial for municipalities as it provides a pathway for future MFC design and optimization by analyzing critical associations between MFC response parameters and multiple varying factors.

PMID:35525044 | DOI:10.1016/j.jenvman.2022.115152

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Nevin Manimala Statistics

New therapies for the treatment of heart failure with preserved ejection fraction

Am J Health Syst Pharm. 2022 May 7:zxac129. doi: 10.1093/ajhp/zxac129. Online ahead of print.

ABSTRACT

DISCLAIMER: In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

PURPOSE: This review of chronic heart failure with preserved ejection fraction (HFpEF), including new and emerging evidence for treatment of patients with this condition, is intended to offer data supporting the use of specific agents for this patient population.

SUMMARY: Chronic heart failure is a major health concern affecting millions of Americans annually and remains a significant burden on the healthcare system. Heart failure is divided into categories based on left ventricular ejection fraction (LVEF). Current treatments for heart failure with reduced ejection fraction, defined by an LVEF of less than 40%, involve a variety of agents with established morbidity and mortality benefits. This is in stark contrast to directed treatments for patients with HFpEF, defined by an LVEF of greater than 50%. Treatments for this form of heart failure have been elusive until recently, when studies were published with sacubitril/valsartan and empagliflozin. Results of the PARAGON-HF trial suggested benefit from sacubitril/valsartan in patients with an ejection fraction between 45% and 57%, leading to its approval in 2021 as the first medication indicated for treatment of patients with a preserved ejection fraction. Months later, the results of the EMPEROR-Preserved trial demonstrated a statistically significant benefit in the composite outcome of heart failure hospitalizations and cardiovascular death in patients with HFpEF taking empagliflozin. This medication has yet to gain approval for HFpEF; however, these data along with ongoing and future trials will likely impact standard treatment for these patients.

CONCLUSION: The PARAGON-HF and EMPEROR-Preserved trials will serve as the foundation for a new era in the treatment of HFpEF.

PMID:35524990 | DOI:10.1093/ajhp/zxac129

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Bortezomib inhibits the proteasome, leading to cell death via apoptosis in feline injection site sarcoma cells in vitro

Am J Vet Res. 2022 May 8;83(6):ajvr.21.09.0152. doi: 10.2460/ajvr.21.09.0152.

ABSTRACT

OBJECTIVE: To determine the in vitro effects of the proteasome inhibitor bortezomib in feline injection site sarcoma (FISS) cell lines.

SAMPLE: In vitro cultures of the FISS cell lines Ela-1, Hamilton, and Kaiser.

PROCEDURES: Cells were treated with increasing doses of bortezomib or vehicle alone (dimethyl sulfoxide) and evaluated for cell viability via an adenosine triphosphate concentration assay, proteasome activity via a commercially available proteasome assay, accumulation of ubiquitinated proteins via Western blot, and apoptosis via flow cytometry.

RESULTS: All 3 cell lines were sensitive to bortezomib with a 50% inhibitory concentration after 48 hours of treatment at 17.46 nM (95% CI, 15.47 to 19.72 nM) for Ela-1, 19.48 nM (95% CI, 16.52 to 23.00 nM) for Hamilton, and 21.38 nM (95% CI, 19.24 to 23.78 nM) for Kaiser. In the Ela-1 cell line, 20 nM bortezomib inhibited 20S proteasome activity by 90.9% compared with the vehicle-only control. In the Kaiser cell line, 20 nM bortezomib decreased 20S proteasome activity by 70%, compared with the untreated vehicle-only control. Last, treatment with bortezomib (25 and 40 nM) resulted in statistically significant decreases in viable cells accompanied by a statistically significant increase in apoptotic cells.

CLINICAL RELEVANCE: Treatment options for FISS, especially nonresectable FISS, are currently very limited. These results support further investigation of bortezomib either alone or in combination with other treatments in such cases.

PMID:35524959 | DOI:10.2460/ajvr.21.09.0152