Tag: pubmed

Nanophotonics. 2021 Sep 29;11(4):689-696. doi: 10.1515/nanoph-2021-0432. eCollection 2022 Jan.

ABSTRACT

Twist phase is a nontrivial second-order phase that only exists in a partially coherent beam. Such twist phase endows the partially coherent beam with orbital angular momentum (OAM) and has unique applications such as in super-resolution imaging. However, the manipulation and the detection of the twist phase are still far from easy tasks in experiment. In this work, we present a flexible approach to generate a famous class of twisted Gaussian Schell-model (TGSM) beam with controllable twist phase by the superposition of the complex field realizations using a single phase-only spatial light modulator. The precise control of the amplitude and phase of the field realizations allows one to manipulate the strength of the twist phase easily. In addition, we show that the twist factor, a key factor that determines the strength of twist phase and the amount of OAM, can be measured by extracting the real part of the complex degree of coherence of the TGSM beam. The experiment is carried out with the help of the generalized Hanbury Brown and Twiss experiment as the generated TGSM beam obeys Gaussian statistics. The flexible control and detection of the twist phase are expected to find applications in coherence and OAM-based ghost imaging.

PMID:39635389 | PMC:PMC11501484 | DOI:10.1515/nanoph-2021-0432

Front Glob Womens Health. 2024 Nov 20;5:1471316. doi: 10.3389/fgwh.2024.1471316. eCollection 2024.

ABSTRACT

INTRODUCTION: Health-related quality of life (HRQoL) is a key outcome indicator in antiretroviral therapy program. In Ethiopia, primary studies on gender disparity in HRQoL among people living with HIV/AIDS (PLHA) are conflicting, with no pooled estimation. Therefore, this study aimed to investigate gender disparity in HRQoL among PLHA in Ethiopia.

METHODS: Studies were retrieved from PubMed, Web of Science, SCOPUS, Embase, MEDLINE, Science Direct, HINARI, and PsycINFO were systematically searched. In addition, Google Scholar, Google, journal homepages, bibliographies, and universities’ research repositories in the country were searched by combining keywords and Medical Subject Headings (MeSH) terms with Boolean operators. Based on the primary study results, the average score of each domain was utilized as a cut-off point to classify HRQoL as poor or good. The Joanna Briggs Institute (JBI) checklist was used to assess study quality. A random-effects model was used to report the pooled estimates. Summary estimates are presented in forest plots and tables. The variation between studies was assessed using the Higgins heterogeneity test (I²). Funnel plot, Begg’s test, and Egger’s test were used to assess publication bias. Data were extracted using Microsoft Excel and exported to STATA 17 (Corporation, College Station, TX, USA) for analysis. The search results were managed using the EndNote X7 software.

RESULTS: Fifteen studies with 4,867 PLHA were included. The pooled prevalence of poor HRQoL was 46.53% (95% CI: 41.96-51.10), 46.15% (95% CI: 37.05-55.24), and 36.21% (95% CI: 30.19-42.23) among PLHA, women, and men living with HIV, respectively. Moreover, a significant gender disparity in HRQoL was observed among Ethiopian women and men living with HIV. Women living with HIV were found to have 61% increased odds of poor HRQoL than men living with HIV in the country (OR = 1.61, 95% CI: 1.07, 2.15). No statistical evidence of a publication bias was observed.

CONCLUSION: Almost half of PLHA patients in Ethiopia had a poor HRQoL. Women living with HIV have higher odds of poor HRQoL than men living with HIV. This highlights the pressing need for gender-specific risk assessment approaches and treatment interventions aimed at optimizing HRQoL in HIV/AIDS settings.

SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/, identifier CRD42023454810.

PMID:39635356 | PMC:PMC11614810 | DOI:10.3389/fgwh.2024.1471316

J Clin Med Res. 2024 Dec;16(11):547-553. doi: 10.14740/jocmr6108. Epub 2024 Nov 30.

ABSTRACT

BACKGROUND: Heart failure (HF) is often accompanied by atrial fibrillation (AF), which significantly worsens the outcome of both diseases. Half of individuals with HF has AF, and HF occurs in more than one-third of individuals with AF. Thus, HF and AF are commonly encountered together and are closely interrelated with similar risk factors. The aim of this study was to investigate the impact of potential risk factors on the occurrence of paroxysmal/persistent AF in patients with heart failure with moderately reduced ejection fraction (HFmrEF).

METHODS: The study included 193 patients with HFmrEF and nonvalvular paroxysmal/persistent AF after successful cardioversion. As a control group the similar 76 patients without AF were examined. All patients underwent the examination, including electrocardiography (ECG), echocardiography, ambulatory blood pressure monitoring and Holter ECG monitoring. Levels of inflammatory markers, such as high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α) and the fibrotic marker transforming growth factor-β1 (TGF-β1) were measured using the enzyme-linked immunosorbent assay (ELISA) method. The obtained results were modeled using binary logistic regression using the odds ratio (OR).

RESULTS: It was shown that frequent episodes of hypertensive crisis (HC) and increased body mass index (BMI) were possible risk factors for paroxysmal/persistent AF. An increased OR of diastolic and systolic parameters of the left ventricle was associated with significant atrial and ventricular remodeling. Statistically, higher OR of inflammatory markers levels, such as hs-CRP, IL-6 and TNF-α were associated with an increased risk of paroxysmal/persistent AF occurrence in HFmrEF patients compared to similar patients without AF. An increase of the fibrosis marker TGF-β1 OR was statistically significant in patients with persistent AF.

CONCLUSIONS: It could be considered that frequency of HC, BMI, atrial and ventricular remodeling, as well as an increase of inflammation markers were possible risk factors for the occurrence of paroxysmal/persistent AF in HFmrEF patients. Moreover, fibrosis factor level significantly increased the likelihood of persistent AF in these patients.

PMID:39635337 | PMC:PMC11614407 | DOI:10.14740/jocmr6108

Comput Biol Med. 2024 Dec 3;185:109450. doi: 10.1016/j.compbiomed.2024.109450. Online ahead of print.

ABSTRACT

Research on venous hemodynamics is pivotal for unravelling venous diseases, including varicose veins and deep vein thrombosis, essential for clinical management, treatment and artificial valve design. In this study, a three-dimensional (3D) numerical simulation, employing the immersed boundary/finite element method, is constructed to explore the fluid-structure interaction (FSI) between intravenous blood and venous valves. A hyperelastic constitutive model is used to capture the incompressible, nonlinear mechanical response. Our findings reveal the periodic characteristics of valve movement and intravenous blood flow throughout the cardiac cycle, alongside quantified physiological parameters such as blood pressure, flow rate, geometric orifice area, and stress-strain distribution on venous valve surfaces. The study unveils a significant correlation between dynamic valve motion and vortices within the venous sinus. Stress and strain concentrate primarily at the free edge of venous valves, which is in contrast to 2D modelling. Moreover, increased hydrostatic venous pressure is found to be the key to venous vessel dilation. The effects of fibrosis and atrophy of venous valves on venous hemodynamics are compared and analysed. This FSI numerical study introduces a fully 3D framework for modelling the venous system, expected to provide crucial references for understanding the development and mechanism underlying venous diseases, thereby furnishing a scientific underpinning for their prevention, diagnosis, and treatment.

PMID:39631111 | DOI:10.1016/j.compbiomed.2024.109450

Arch Gerontol Geriatr. 2024 Nov 25;130:105703. doi: 10.1016/j.archger.2024.105703. Online ahead of print.

ABSTRACT

INTRODUCTION: Blood-based biomarkers such as plasma neurofilament light chain (pNfL) are crucial biomarkers for Alzheimer’s disease (AD). Additionally, neuroimaging techniques such as tensor-based morphometry (TBM), which identify structural changes in the brain, can provide valuable insights into AD pathophysiology. However, the role of genetics in linking the blood based biomarkers and imaging findings has not been well understood. Therefore, we aimed to investigate whether the polygenic hazard score (PHS), affects the association between neurofibrillary tangles and neuritis plaques and brain imaging findings.

METHODS: Using the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database, we enrolled all participants for whom a complete dataset of pNfL, PHS, and TBM was available. Using Python, we analyzed the associations between pNfL levels and the TBM data of 567 participants incluidng 152 cognitively normal individuals, 309 participants with mild cognitive impairment (MCI), and 106 patients with AD. We used a mediation analysis to identify the effect of PHS in how pNfL is associated with TBM measures.

RESULTS: We found a negative correlation between the accelerated TBM measure and NfL levels in both the MCI and AD groups. The pNfL concentration predicted both accelerated statistical and anatomical TMB measures in patients with MCI. Furthermore, PHS mediatedthe association between statistical TBM measures and NfL levels in AD patients, to the extent that the significant association between NfL and TBM measures disappeared after accounting for PHS.

CONCLUSION: We showed that although pNfL can predict the cognitiee decline and imaging findings in AD, this effect is mediated by the PHS. Therefore, PHS should be considered when investigating AD biomarkers and their corresponding imaging findings.

PMID:39631103 | DOI:10.1016/j.archger.2024.105703

Am J Public Health. 2025 Jan;115(1):75-82. doi: 10.2105/AJPH.2024.307867.

ABSTRACT

Immigration status and related policies have a significant impact on health outcomes. Yet major national health surveys currently provide little or no information about immigration status, rendering subgroups of noncitizens largely invisible. Even measures of citizenship, nativity, country of birth, and years in the United States, which provide critical information about immigration history, are not consistently included in national data sets. The main objections to asking directly about immigration status are that (1) such questions are too stigmatizing, risking lower response rates and inaccurate responses; and (2) answering the questions may expose respondents to possible immigration or criminal consequences. Our analysis shows that these objections are unfounded or can be mitigated. National health surveys have evolved over the past decades to include questions about mental health, substance use, sexual orientation, and gender identity-topics once assumed to be too stigmatizing to ask about, with possible negative legal consequences. We argue that the time has come to obtain more detailed information about immigration status as well as to consistently include the measures of immigration history mentioned so that we can better evaluate the health consequences of immigrant-related policy choices. (Am J Public Health. 2025;115(1):75-82. https://doi.org/10.2105/AJPH.2024.307867).

PMID:39631085 | DOI:10.2105/AJPH.2024.307867

Blood Adv. 2024 Dec 4:bloodadvances.2024013826. doi: 10.1182/bloodadvances.2024013826. Online ahead of print.

ABSTRACT

The prognostic impact of measurable residual disease (MRD) in acute myeloid leukemia (AML) is unequivocal; however, the optimal timepoint for achieving undetectable MRD is unclear. We retrospectively studied patients with newly diagnosed (ND) AML who achieved remission with frontline intensive chemotherapy and had MRD assessed by flow cytometry after induction (TP1) and after cycles 2 or 3 (TP2). Cases were grouped into MRD Neg/Neg, Pos/Neg or Pos/Pos at TP1 and TP2, respectively. Of 1980 patients with ND AML, 277 met inclusion criteria and were included in this analysis. The median relapse-free survival (RFS) was 73 months, 22 months, and 5 months for the MRD Neg/Neg, Pos/Neg and Pos/Pos groups, respectively (p < 0.01). There was a significant difference between the Neg/Neg and Pos/Neg groups (p = 0.05), suggesting benefit to early MRD negativity. Median overall survival (OS) was 81 months, 40 months, and 9 months, respectively (p < 0.01), but the difference between Neg/Neg and Pos/Neg was not statistically significant (p = 0.19). Landmark analysis demonstrated the benefit of SCT, particularly in Neg/Neg intermediate risk AML (median RFS not reached versus 15 months, p < 0.01). On multivariable analysis, MRD Pos/Neg was independently associated with a worse RFS compared with Neg/Neg (hazard ratio 1.73 [95% CI, 1.09 – 2.75], p = 0.02) but not for OS (p = 0.15). In conclusion, undetectable flow MRD after induction is associated with better RFS compared with undetectable MRD achieved later during consolidation. SCT benefitted patients with intermediate risk AML, regardless of MRD kinetics.

PMID:39631072 | DOI:10.1182/bloodadvances.2024013826

J Med Internet Res. 2024 Dec 4;26:e65541. doi: 10.2196/65541.

ABSTRACT

BACKGROUND: The COVID-19 pandemic accelerated the adoption of digital health technology, but it could also impact age-based disparities as existing studies have pointed out. Compared with the pre-pandemic period, whether the rapid digitalization of the health care system during the pandemic widened the age-based disparities over a long period remains unclear.

OBJECTIVE: This study aimed to analyze the long-term effects of the COVID-19 pandemic on the multifaceted landscape of digital health technology used across diverse age groups among US citizens.

METHODS: We conducted the retrospective observational study using the 2017-2022 Health Information National Trends Survey to identify the influence of the COVID-19 pandemic on a wide range of digital health technology use outcomes across various age groups. The sample included 15,505 respondents, which were categorized into 3 age groups: adults (18-44 years), middle-aged adults (45-64 years), and older adults (more than 65 years). We also designated the time point of March 11, 2020, to divide the pre- and post-pandemic periods. Based on these categorizations, multivariate linear probability models were used to assess pre-post changes in digital health technology use, controlling for demographic, socioeconomic, and health-related variables among different age groups.

RESULTS: Essentially, older adults were found to be significantly less likely to use digital health technology compared with adults, with a 26.28% lower likelihood of using the internet for health information (P<.001) and a 32.63% lower likelihood of using health apps (P<.001). The usage of digital health technology for all age groups had significantly increased after the onset of the pandemic, and the age-based disparities became smaller in terms of using the internet to look for health information. However, the disparities have widened for older adults in using the internet to look up test results (11.21%, P<.001) and make appointments (10.03%, P=.006) and using wearable devices to track health (8.31%, P=.01).

CONCLUSIONS: Our study reveals a significant increase in the use of digital health technology among all age groups during the pandemic. However, while the disparities in accessing online information have narrowed, age-based disparities, particularly for older adults, have widened in most areas such as looking up test results and making appointments with doctors. Therefore, older adults are more likely left behind by the rapidly digitalized US health care system during the pandemic. Policy makers and health care providers should focus on addressing these disparities to ensure equitable access to digital health resources for US baby boomers.

PMID:39631070 | DOI:10.2196/65541

JMIR Form Res. 2024 Dec 4;8:e63035. doi: 10.2196/63035.

ABSTRACT

BACKGROUND: Nicotine is a highly addictive agent in tobacco products. On June 21, 2022, the US Food and Drug Administration (FDA) announced a plan to propose a rule to establish a maximum nicotine level in cigarettes and other combusted tobacco products.

OBJECTIVE: This study aimed to understand public perception and discussion of very low nicotine content (VLNC) on Twitter (rebranded as X in July 2023).

METHODS: From December 12, 2021, to January 1, 2023, we collected Twitter data using relevant keywords such as “vln,” “low nicotine,” and “reduced nicotine.” After a series of preprocessing steps (such as removing duplicates, retweets, and commercial tweets), we identified 3270 unique noncommercial tweets related to VLNC. We used an inductive method to assess the public perception and discussion of VLNC on Twitter. To establish a codebook, we randomly selected 300 tweets for hand-coding, including the attitudes (positive, neutral, and negative) toward VLNC (including its proposed rule) and major topics (13 topics). The Cohen κ statistic between the 2 human coders reached over 70%, indicating a substantial interrater agreement. The rest of the tweets were single-coded according to the codebook.

RESULTS: We observed a significant peak in the discussion of VLNC on Twitter within 4 days of the FDA’s announcement of the proposed rule on June 21, 2022. The proportion of tweets with a negative attitude toward VLNC was significantly lower than those with a positive attitude, 24.5% (801/3270) versus 37.09% (1213/3270) with P<.001 from the 2-proportion z test. Among tweets with a positive attitude, the topic “Reduce cigarette consumption or help smoking cessation” was dominant (1097/1213, 90.44%). Among tweets with a negative attitude, the topic “VLNC leads to more smoking” was the most popular topic (227/801, 28.34%), followed by “Similar toxicity of VLNC as a regular cigarette” (223/801, 27.84%), and “VLNC is not a good method for quitting smoking” (211/801, 26.34%).

CONCLUSIONS: There is a more positive attitude toward VLNC than a negative attitude on Twitter, resulting from different opinions about VLNC. Discussions around VLNC mainly focused on whether VLNC could help people quit smoking.

PMID:39631065 | DOI:10.2196/63035

J Med Internet Res. 2024 Dec 4;26:e48882. doi: 10.2196/48882.

ABSTRACT

BACKGROUND: Video played an important role in health communication throughout the COVID-19 pandemic. It was used to communicate pandemic information to the public, with a variety of formats, presenters, and topics. Evidence regarding the effectiveness of video features is available, while how individual characteristics of recipients influence communication comprehension is still limited.

OBJECTIVE: This study aimed to test 6 individual characteristics and assess their effect on the comprehension of pandemic video communication.

METHODS: Short health communication videos were presented to a large sample of subjects, receiving questionnaire responses from 1194 participants. Individual characteristics consisted of age, sex, living area, education level, income level, and belief in science. Communication comprehension consisted of both perceived and objective comprehension. The data were analyzed by multiple linear regression.

RESULTS: Age had a negative effect on both perceived and objective comprehension-age was negatively associated with comprehension. There were sex differences, with higher perceived comprehension and lower objective comprehension among female than male individuals. Living in an urban or a rural area had no significant effect (all P>.05). The level of education and income had a positive effect on both subjective and objective comprehension. Finally, the belief in science had a positive effect on perceived comprehension (P<.001) but did not have a statistically significant effect on objective comprehension (P=.87).

CONCLUSIONS: The main differences between those who think they understand pandemic communication and those who comprehend it better are sex (female individuals have a higher perception of having comprehended, while male individuals have higher levels of objective comprehension) and belief in science (higher belief in science leads to higher perceived comprehension, while it does not have any impact on objectively understanding the message conveyed).

PMID:39631064 | DOI:10.2196/48882