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Nevin Manimala Statistics

Public perceptions regarding the preparedness of government to combat 3rd wave of COVID-19 (SARS-CoV-2) infection across various states of India

Disaster Med Public Health Prep. 2023 Jan 24:1-18. doi: 10.1017/dmp.2023.20. Online ahead of print.

ABSTRACT

India has already passed through two waves of the covid-19 pandemic losing many lives. The reason for losing lives may be due to the unpreparedness of the health care system of India for this unprecedented pandemic. To assess the government’s preparedness an Institutional based cross-sectional prospective survey was conducted among the adult population of selected states in India. A self-administered questionnaire having 30-item divided into five sections (demography of the participants, step to create awareness, prevent spread of infection, handle the emergency and prognosis) was distributed online through google survey. The responses were collected in an excel file. SPSS software was used to perform the descriptive statistics and ANOVA. Nearly a quarter of the participants strongly disagree/disagree about the government’s preparedness for the 3rd wave. Considering their perception it cannot be assured that government is well prepared to handle the emergency. So the government has to maintain emergency fund and develop health infrastructure. Government should take steps to reduce social stigma, prevent spreading of unscientific propagation and make people aware of WHO as the reliable source of information for health emergencies to avoid a human crisis in the future.

PMID:36691775 | DOI:10.1017/dmp.2023.20

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Nevin Manimala Statistics

High incidence of acute and subacute ischaemic foci on brain MRI in patients with a diagnosis of acute pulmonary embolism and confirmed patent foramen ovale

Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2023 Jan 17. doi: 10.5507/bp.2023.005. Online ahead of print.

ABSTRACT

BACKGROUND: Pulmonary embolism (PE) is a common and potentially life-threatening diagnosis when a certain amount of thrombotic mass obstructs blood flow through the pulmonary circulation. The finding of acute and subacute ischaemic foci on magnetic resonance imaging (MRI) of the brain in a group of patients with this diagnosis in whom we demonstrate the presence of patent foramen ovale (PFO) by transoesophageal echocardiography (TEE) is surprisingly high.

METHODS: A total of 129 patients with a diagnosis of pulmonary embolism (confirmed by computed tomography with contrast agent, CTA) who consented to further examination were examined by transthoracic echocardiography (TTE) and transoesophageal echocardiography (TEE) with contrast agent, underwent magnetic resonance imaging of the brain according to a specific protocol, and underwent a comprehensive baseline laboratory examination.

RESULTS: In our group of 129 patients, we found the presence of PFO in 36.4% (n=47) of them. A total of 5.4% (n=7) patients had asymptomatic acute and subacute ischaemic changes on brain MRI; 6 of them had concomitant PFO. The statistically significant correlation between troponin levels and the presence of pathological findings on MRI and the trend of a similar correlation for NT-proBNP values is also very interesting finding.

CONCLUSIONS: The association between the presence of PFO and the occurrence of symptomatic or asymptomatic findings on brain MRI is a well-known fact (the issue of paradoxical embolism) but the high frequency of acute and subacute lesions on brain MRI in the group of patients with a diagnosis of acute PE is surprising.

PMID:36691764 | DOI:10.5507/bp.2023.005

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Nevin Manimala Statistics

scShapes: a statistical framework for identifying distribution shapes in single-cell RNA-sequencing data

Gigascience. 2022 Dec 28;12:giac126. doi: 10.1093/gigascience/giac126.

ABSTRACT

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) methods have been advantageous for quantifying cell-to-cell variation by profiling the transcriptomes of individual cells. For scRNA-seq data, variability in gene expression reflects the degree of variation in gene expression from one cell to another. Analyses that focus on cell-cell variability therefore are useful for going beyond changes based on average expression and, instead, identifying genes with homogeneous expression versus those that vary widely from cell to cell.

RESULTS: We present a novel statistical framework, scShapes, for identifying differential distributions in single-cell RNA-sequencing data using generalized linear models. Most approaches for differential gene expression detect shifts in the mean value. However, as single-cell data are driven by overdispersion and dropouts, moving beyond means and using distributions that can handle excess zeros is critical. scShapes quantifies gene-specific cell-to-cell variability by testing for differences in the expression distribution while flexibly adjusting for covariates if required. We demonstrate that scShapes identifies subtle variations that are independent of altered mean expression and detects biologically relevant genes that were not discovered through standard approaches.

CONCLUSIONS: This analysis also draws attention to genes that switch distribution shapes from a unimodal distribution to a zero-inflated distribution and raises open questions about the plausible biological mechanisms that may give rise to this, such as transcriptional bursting. Overall, the results from scShapes help to expand our understanding of the role that gene expression plays in the transcriptional regulation of a specific perturbation or cellular phenotype. Our framework scShapes is incorporated into a Bioconductor R package (https://www.bioconductor.org/packages/release/bioc/html/scShapes.html).

PMID:36691728 | DOI:10.1093/gigascience/giac126

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Nevin Manimala Statistics

Concomitant latent pulmonary vascular disease leads to impaired global cardiac performance in HFpEF

Eur J Heart Fail. 2023 Jan 23. doi: 10.1002/ejhf.2781. Online ahead of print.

ABSTRACT

AIMS: The REDUCE-LAP II trial demonstrated adverse outcomes after interatrial shunt device (IASD) placement in heart failure with preserved ejection fraction (HFpEF) attributed to latent pulmonary vascular disease (PVD). We hypothesized that exercise-stress cardiovascular magnetic resonance (CMR) imaging could provide non-invasive characterisation of cardiac and pulmonary physiology for improved patient selection.

METHODS AND RESULTS: The HFpEF-Stress Trial prospectively enrolled 75 patients with exertional dyspnoea and diastolic dysfunction. Patients underwent rest and exercise-stress right heart catheterisation (RHC), echocardiography and CMR imaging. Pulmonary artery and capillary wedge pressures, cardiac index (CI) and vascular resistance (PVR) were calculated. Latent PVD was defined as increased PVR≥1.74 Wood-Units during exercise-stress. CMR assessed long axis strains (LAS) and filling volumes of all cardiac chambers. Right ventricular (RV) function was further quantified by stroke and peak flow volumes. Patients with latent PVD (n = 24) showed lower RV function (rest TAPSE, p = 0.010; stress RV LAS, p < 0.001) compared to patients without (n = 43). During exercise-stress, RV stroke and peak flow volumes (p < 0.001) were reduced and led to impaired left atrial (p = 0.040) and with a strong statistical trend to impaired ventricular (LV) filling (p = 0.098). This subsequently resulted in reduced LV-CI (p < 0.001) despite preserved LV systolic function (LV LAS p ≥ 0.255). The degree of RV dysfunction during exercise-stress best predicted latent PVD (RV peak flow, AUC rest 0.73 vs. stress 0.89, p = 0.004).

CONCLUSIONS: Latent PVD is a feature of HFpEF and is associated with impaired RV functional reserve, global diastolic filling and LV-CI. This can be quantified by CMR and used to identify patients likely to benefit from IASD implantation.

PMID:36691723 | DOI:10.1002/ejhf.2781

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Nevin Manimala Statistics

The effect of the COVID-19 pandemic on front-line nurses’ professional quality of life

Nurs Manag (Harrow). 2023 Jan 24. doi: 10.7748/nm.2023.e2074. Online ahead of print.

ABSTRACT

BACKGROUND: Front-line nurses caring for patients with coronavirus disease 2019 (COVID-19) experience stressful and traumatic working conditions, which may affect their professional quality of life.

AIM: To identify the effect of COVID-19 on front-line nurses’ professional quality of life, specifically on their levels of compassion satisfaction, burnout and secondary traumatic stress.

METHOD: A descriptive, cross-sectional comparative design was adopted. Data collection tools included self-reported sociodemographic and work-related characteristics and the self-report Professional Quality of Life Scale (ProQOL). Questionnaires (n=200) were distributed by email to two groups of nurses working in a government hospital in Saudi Arabia: front-line nurses who cared for patients with COVID-19 in isolation units; and front-line nurses who cared for patients without COVID-19 in inpatient units.

RESULTS: Completed questionnaires were received from 167 respondents, a response rate of 84%. Moderate levels of compassion satisfaction, burnout and secondary traumatic stress were found regardless of respondents’ involvement in caring for patients with COVID-19. There was no statistically significant difference between the two groups in terms of compassion satisfaction, burnout and secondary traumatic stress.

CONCLUSION: The COVID-19 pandemic presents a new challenge for front-line nurses, necessitating appropriate interventions to avoid burnout and secondary traumatic stress.

PMID:36691712 | DOI:10.7748/nm.2023.e2074

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Nevin Manimala Statistics

Prevalence of medication administration errors in hospitalized adults: A systematic review and meta-analysis up to 2017 to explore sources of heterogeneity

Fundam Clin Pharmacol. 2023 Jan 23. doi: 10.1111/fcp.12873. Online ahead of print.

ABSTRACT

BACKGROUND: Previous estimates to meta-analyze administration error rates were limited by the high statistical heterogeneity, restricting their use.

OBJECTIVES: To investigate sources of heterogeneity in pooled administration error rates in hospitalized adults.

METHODS: We systematically searched scientific databases up to November 2017 for studies presenting error rates/relevant numerical data in hospitalized adults. We conducted separate meta-analyses for the numerators: One Medication Error (OME) (each dose can be correct or incorrect) and Total Number of Errors (TNE) (more than one error per dose could be counted), using the generic inverse variance with a 95%-confidence interval. Heterogeneity was assessed using the I2 and Cochran’s Q test.

RESULTS: We meta-analyzed 33 studies. The global pooled analyses based on the OME and TNE numerators showed very high heterogeneity (I2 =100%;p<0.00001). For each meta-analysis, subgroup analyses based on study characteristics (countries, wards, population, routes of administration, error detection methods, and medications) yielded results with consistently elevated heterogeneity. Beyond these characteristics, we stratified the studies according to the mean error prevalence level as the threshold. Based on the OME numerator, we identified two subgroups of low (0.15[0.13-0.17];I2 =0%;p=0.43) and high (0.26[0.24-0.27];I2 =38%;p=0.17) pooled prevalence rates, with controlled heterogeneity. Similarly, for the TNE numerator, we identified two subgroups of low (0.10[0.09-0.10];I2 =0%;p=0.76) and high (0.28[0.27-0.29];I2 =0%; p=0.89) pooled prevalence rates, with controlled heterogeneity. These subgroups differed regarding the denominators used: Total opportunities for errors versus others (doses, observations, administrations).

CONCLUSION: Calculation methods, specifically the denominator, seem a primary factor in explaining heterogeneity in error rates. Standardizing numerators, denominators, and definitions is necessary.

PMID:36691676 | DOI:10.1111/fcp.12873

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Nevin Manimala Statistics

Intestinal Parasitic Infections and Associated Risk Factors among Food Handlers of Food and Drinking Establishments in Woldia Town, North-East Ethiopia: A Cross-Sectional Study

J Trop Med. 2023 Jan 14;2023:2831175. doi: 10.1155/2023/2831175. eCollection 2023.

ABSTRACT

BACKGROUND: Food handlers should be screened periodically for intestinal parasitic infections, and they should be treated to reduce intestinal parasite transmission to consumers through contaminated foods and drinks. Therefore, this study aimed to assess the prevalence and associated risk factors of intestinal parasitic infection among food handlers in Woldia town, North-East Ethiopia.

METHOD: A community-basedcross-sectional study was conducted among food handlers in Woldia town, North-East Ethiopia. A structured questionnaire was used to collect sociodemographic characteristics and intestinal parasite-associated risk factors. Microscopic examination of a stool sample was performed using wet-mount and formol-ether concentration techniques. Data were analyzed using SPSS version 20.0 statistical software packages. Bivariate and multivariate analyses were performed to investigate the association between intestinal parasitic infections and associated risk factors. In all comparisons, P value <0.05 was considered as statistically significant.

RESULT: The overall prevalence of intestinal parasitic infection among food handlers in Woldia town was 14.3%. Six different intestinal parasites were detected. The majority of the parasites identified were helminthic infections 37/52 (71%). Ascaris lumbricoides was the most dominant parasite (7.7%), followed by E. histolytica/dispar (2.7%) and G. lamblia (1.4%). Multivariate logistic regression analysis showed that intestinal parasitic infection had a statistically significant association with food handlers’ habits of hand washing without soap after latrine use (P < 0.01), swimming habit (P=0.03), and using a common knife (P < 0.01).

CONCLUSION: This study revealed a relatively high prevalence of intestinal parasites among food handlers in Woldia town. Strict and standard hygienic and sanitary practices should be implemented by food handlers. Moreover, food handlers should be screened for intestinal parasitic infection, and health education should be given periodically.

PMID:36691674 | PMC:PMC9867574 | DOI:10.1155/2023/2831175

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Nevin Manimala Statistics

Dynamic predictions from longitudinal CD4 count measures and time to death of HIV/AIDS patients using a Bayesian joint model

Sci Afr. 2023 Mar;19:e01519. doi: 10.1016/j.sciaf.2022.e01519. Epub 2023 Jan 2.

ABSTRACT

A Bayesian joint modeling approach to dynamic prediction of HIV progression and mortality allows individualized predictions to be made for HIV patients, based on monitoring of their CD4 counts. This study aims to provide predictions of patient-specific trajectories of HIV disease progression and survival. Longitudinal data on 254 HIV/AIDS patients who received ART between 2009 and 2014, and who had at least one CD4 count observed, were employed in a Bayesian joint model of disease progression. Different forms of association structure that relate the longitudinal CD4 biomarker and time to death were assessed; and predictions were averaged over the different models using Bayesian model averaging. The individual follow-up times ranged from 1 to 120 months, with a median of 22 months and IQR 7-39 months. The estimates of the association structure parameters from two of the three models considered indicated that the HIV mortality hazard at any time point is associated with the rate of change in the underlying value of the CD4 count. Model averaging the dynamic predictions resulted in only one of the hypothesized association structures having non-zero weight in almost all time points for each individual, with the exception of twelve patients, for whom other association structures were preferred at a few time points. The predictions were found to be different when we averaged them over models than when we derived them from the highest posterior weight model alone. The model with highest posterior weight for almost all time points for each individual gave an estimate of the association parameter of -0.02 implying that for a unit increase in the CD4 count, the hazard of HIV mortality decreases by a factor (hazard ratio) of 0.98. Functional status and alcohol intake are important contributing factors that affect the mean square root of CD4 measurements.

PMID:36691645 | PMC:PMC7614071 | DOI:10.1016/j.sciaf.2022.e01519

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Nevin Manimala Statistics

The impact of applying challenge-based gamification program on students’ learning outcomes: Academic achievement, motivation and flow

Educ Inf Technol (Dordr). 2023 Jan 19:1-26. doi: 10.1007/s10639-023-11585-z. Online ahead of print.

ABSTRACT

Despite the growing attention towards gamification in learning context, challenge-based gamification application has rarely been subjected to testing in education. In recognition of this void, and grounded on gamification principles, we developed Educhall web-based program. Drawing on self-determination theory, and flow theory the present study aims to explore how the application of this challenge-based gamified program in to learning process of students can increase students’ motivation, flow, and academic success through the generated competition and challenge. The study applied a random experimental research design within distance learning context with 30 university students of control group and 30 students of experimental group who used the Educhall application for one academic semester. In line with self-determination theory, it was statistically evidenced that application of challenge-based gamified learning method increased level of academic performance and overall motivation. Of the motivational sub factors, experimental group reported significantly higher confidence level and satisfaction towards the course. Furthermore, grounded on flow theory, the study showed that challenge-based gamified learning increased flow level of learners but not significantly which warrants further data collection and experimental research in future studies. Implications for research and practice are discussed.

PMID:36691635 | PMC:PMC9850335 | DOI:10.1007/s10639-023-11585-z

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Nevin Manimala Statistics

On the regional distribution of cerebral microvascular ‘raspberries’ and their association with cerebral atherosclerosis and acute circulatory failure

Cereb Circ Cogn Behav. 2023 Jan 7;4:100157. doi: 10.1016/j.cccb.2023.100157. eCollection 2023.

ABSTRACT

INTRODUCTION: In this follow-up study, cerebral microvascular formations termed ‘raspberries’ were quantified according to cerebral atherosclerosis (C-ASCL) and acute circulatory failure (ACF). We also examined the regional distribution of raspberries throughout the brain.

MATERIALS AND METHODS: The study population consisted of adult individuals who had undergone a diagnostic neuropathological autopsy. Groups were formed to examine the association between raspberries, C-ASCL and ACF (control group, C-ASCL group, C-ASCL+ACF group [n = 47 per group] and a combined C-ASCL-tot group [n = 94]). To examine the regional distribution, additional groups were formed based on previously known raspberry densities of the frontal cortex (high-, medium- and low-density group [n = 6 per group]). Raspberries were quantified on scanned haematoxylin-eosin-stained sections.

RESULTS: Cortical raspberry density did not differ at a statistically significant level between the control group, the C-ASCL group and the C-ASCL+ACF group (P = 0.10) but did so between the control group and the C-ASCL-tot group (P = 0.033). The total raspberry density of the high-, medium- and low-density groups differed at a statistically significant level (P = 0.005), which remained in group-to-group comparisons of the high- and medium-density groups (P = 0.015) and the high- and low-density groups (P = 0.002). Raspberries were rare in cerebral white matter and in the cerebellum.

CONCLUSION: An association between raspberry density and C-ASCL is supported but is weaker than previously indicated. An association with ACF is not indicated. The raspberry density of the frontal cortex provides an approximation of the brain’s total raspberry density.

PMID:36691600 | PMC:PMC9860404 | DOI:10.1016/j.cccb.2023.100157