Nevin Manimala

Health Info Libr J. 2023 Aug 9. doi: 10.1111/hir.12506. Online ahead of print.

ABSTRACT

BACKGROUND: Considering social distancing requirements and isolation during the COVID-19 pandemic and the widespread health mis/disinformation on social media, filling the pandemic-related information gap is critical.

OBJECTIVES: This study explored COVID-19-related question topics, topic correlation, evolving trends, and community interactions by leveraging data from a health question-answering (Q&A) community (public and health professionals) over a 2-year period.

METHODS: A total of 828 questions were collected and manually reviewed from a health Q&A and classified into 2492 codes. Question topic correlations, trends, and community interactions were generated using different statistical techniques.

RESULTS: Thirty-seven topics were identified, and strong topic correlations were observed between the cognitive layer and other layers. These topics changed as the pandemic developed. Community interaction analyses revealed topics that were popular but received comparatively fewer responses.

DISCUSSION: The findings could illuminate the dynamic changes in people’s interests and concerns related to COVID-19 and their experiences of exchanging information in social Q&A communities.

CONCLUSION: This study examined the practical significance of understanding topics of interest during a pandemic. The findings can inform the design of social health Q&A platforms that could reduce the risks of misinformation and disinformation.

PMID:37555296 | DOI:10.1111/hir.12506

Int Wound J. 2023 Aug 9. doi: 10.1111/iwj.14334. Online ahead of print.

ABSTRACT

Optimal management of burns begins with first aid from the first hours of injury. Adequate knowledge of how to perform first aid for burns can reduce the consequences of injury. Therefore, this study aims to determine the knowledge, attitude, and sources of information assessment towards burn First aid among people referred to a burn centre in the north of Iran. A questionnaire-based survey was conducted to assess knowledge, attitude, and sources of information towards burn first aid among people referred to a burn centre in the north of Iran in 2023. In this survey, a convenience sampling method was adopted. The variables consisted of four items on socio-demographic information, 15 items on knowledge, ten items on attitude, and one item on sources of information related to burn First aid. A total of 371 individuals responded to the survey. The mean age of participants was 31.90 ± 8.49 years old. The mean score of the total knowledge of the participants in the research was 6.04 ± 3.05. There was a statistically significant relationship between the variables of age, sex, marital status, place of residence, level of education, and history of receiving first aid training with the participants’ knowledge level. The average score of the total attitude of the participants was 44.08 ± 3.88. Out of 371 participants, 214 people (57.7%) had an average attitude, and 157 people (42.3%) had a good attitude towards burn first aid. There was a statistically significant relationship between place of residence, level of education, and history of receiving first aid training with the participants’ attitudes in the research. In addition, the level of knowledge had a statistically significant relationship with the participants’ attitude level in the research (p-value <0.001). The majority of participants have limited knowledge of burn first aid. This lack of knowledge could lead to severe consequences. Therefore, healthcare organizations should review and promote consistent guidelines for burn first aid to tackle and minimize the effect of this grave injury.

PMID:37555290 | DOI:10.1111/iwj.14334

Environ Sci Process Impacts. 2023 Aug 9. doi: 10.1039/d3em00135k. Online ahead of print.

ABSTRACT

Some studies of endocrine-disrupting polycyclic aromatic hydrocarbon (PAH) exposure and thyroid hormones (THs) are inconclusive. To assess the associations between PAHs and THs, and the influence of the iodine status on PAHs-THs, we employed 648 adolescents (12-19 years old) and 2691 adults from the National Health and Nutrition Examination Survey 2007-2008 and 2011-2012. PAH metabolites [1-hydroxynaphthalene (1-NAP), 2-NAP, 1-hydroxyphenanthrene (1-PHE), 2-PHE, 3-PHE, 2-hydroxyfluorene (2-FLU), 3-FLU, 9-FLU, and 1-hydroxypyrene (1-PYR)], THs [total and free thyroxine (TT4 and FT4), total and free triiodothyronine (TT3 and FT3), thyroid stimulating hormone (TSH), and thyroglobulin (Tg)], peripheral deiodinase activity (G_D) and thyroid’s secretory capacity (G_T) were involved. Multiple linear regression and weighted quantile sum (WQS) regression models were used to assess PAH-TH associations and the interaction between PAHs and the iodine status. Stratification analyses were conducted based on sex, smoking and iodine status. For adolescents, in a multivariable-adjusted regression model (β; 95% CI), 1-PHE (4.08%; 1.01%, and 7.25%), 2-PHE (3.98%; 0.70%, and 7.25%) and 9-FLU (3.77%; 1.10%, 7.47%) were positively correlated with TT3; 3-PHE and 1-PYR interacted with the iodine status (P-int < 0.05); 9-FLU was positively correlated with G_D in both sexes. Combined exposure to PAHs was positively associated with Tg (0.137; 0.030, and 0.243), and negatively correlated with TSH (-0.087; -0.166, and -0.008). For adults, 2-NAP was positively correlated with FT3 (0.90%; 0.20%, and 1.61%), FT4 (1.82%; 0.70%, and 2.94%), TT3 (1.31%; 0.10%, and 2.63%), TT4 (2.12%; 0.90%, and 3.36%) and G_T (2.22%; 1.01%, and 3.46%), but negatively correlated with TSH (-4.97%; -8.33%, and -1.49%); 1-NAP interacted with the iodine status (P-int < 0.05); 1-PHE was inversely correlated with TT3 in males; 2-PHE was positively correlated with TT3 in females. Combined exposure to PAHs was positively associated with FT3 (0.008; 0.001, and 0.014). Combined exposure to PAHs was positively associated with FT3, TT3 and G_D, and negatively correlated with FT4, TT4 and G_T in non-smoking adults; but positively associated with Tg (β = 0.140; 95% CI: 0.042, 0.237) in smoking adults. Our results indicated that combined and individual PAH exposure might be related to THs, and the iodine status had an influence on PAH-TH associations. These associations were not identical between adolescents and adults, and there were sex and smoking status differences.

PMID:37555279 | DOI:10.1039/d3em00135k

Obesity (Silver Spring). 2023 Aug 9. doi: 10.1002/oby.23813. Online ahead of print.

ABSTRACT

OBJECTIVE: This review aimed to evaluate the association between childhood adiposity and depression and anxiety risk in adulthood.

METHODS: MEDLINE, PsychInfo, Embase, CINAHL, and Scopus were searched on June 6, 2022, to identify studies that investigated the association between childhood weight status (age ≤18 years) and outcomes of depression and/or anxiety in adulthood (age ≥19 years). Study quality was assessed using the Newcastle-Ottawa Scale and results were narratively synthesized.

RESULTS: Sixteen studies were eligible for inclusion, with heterogeneity in methods and follow-up durations complicating comparisons. Six out of eight studies found a statistically significant association between childhood adiposity and increased likelihood of depression in adulthood, particularly in females. However, overall evidence was of moderate quality and study limitations prevented causal conclusions. In contrast, limited evidence and mixed findings were reported for the associations between childhood adiposity and depressive symptom severity or anxiety outcomes in adulthood.

CONCLUSIONS: Evidence suggests that childhood adiposity is associated with greater vulnerability to depression in adulthood, particularly in females. However, further research is warranted to address the limitations discussed. Future research should also explore how changes in weight status from childhood to adulthood might differentially influence the likelihood of depression.

PMID:37555243 | DOI:10.1002/oby.23813

Arthritis Rheumatol. 2023 Aug 9. doi: 10.1002/art.42661. Online ahead of print.

ABSTRACT

OBJECTIVE: A simple, scalable tool that identifies psoriasis patients at high risk for developing psoriatic arthritis (PsA) could improve early diagnosis. We aimed to develop a risk prediction model for the development of PsA and to assess its performance among patients with psoriasis.

METHODS: We analyzed data from a prospective cohort of psoriasis patients without PsA at enrollment. Participants were assessed annually by a rheumatologist for the development of PsA. Information about their demographics, psoriasis characteristics, co-morbidities, medications, and musculoskeletal symptoms was used to develop prediction models for PsA. Penalized binary regression models were used for variable selection while adjusting for psoriasis duration. Risks of developing PsA over 1- and 5-year time periods were estimated. Model performance was assessed by the area under the curve (AUC) and calibration plots.

RESULTS: Among 635 psoriasis patients, 51 and 71 developed PsA during the 1-year and 5-year follow-up periods, respectively. The risk of developing PsA within 1 year was associated with younger age, male sex, family history of psoriasis, back stiffness, nail pitting, joint stiffness, use of biologic medications, patient global health, and pain severity (AUC 72.3). The risk of developing PsA within 5 years was associated with morning stiffness, psoriatic nail lesion, psoriasis severity, fatigue, pain, and use of systemic non-biologic medication or phototherapy (AUC 74.9). Calibration plots showed reasonable agreement between predicted and observed probabilities.

CONCLUSIONS: The development of PsA within clinically meaningful time frames can be predicted with reasonable accuracy for psoriasis patients using readily available clinical variables.

PMID:37555242 | DOI:10.1002/art.42661

J Appl Crystallogr. 2023 Jul 20;56(Pt 4):910-926. doi: 10.1107/S1600576723005344. eCollection 2023 Aug 1.

ABSTRACT

By providing predicted protein structures from nearly all known protein sequences, the artificial intelligence program AlphaFold (AF) is having a major impact on structural biology. While a stunning accuracy has been achieved for many folding units, predicted unstructured regions and the arrangement of potentially flexible linkers connecting structured domains present challenges. Focusing on single-chain structures without prosthetic groups, an earlier comparison of features derived from small-angle X-ray scattering (SAXS) data taken from the Small-Angle Scattering Biological Data Bank (SASBDB) is extended to those calculated using the corresponding AF-predicted structures. Selected SASBDB entries were carefully examined to ensure that they represented data from monodisperse protein solutions and had sufficient statistical precision and q resolution for reliable structural evaluation. Three examples were identified where there is clear evidence that the single AF-predicted structure cannot account for the experimental SAXS data. Instead, excellent agreement is found with ensemble models generated by allowing for flexible linkers between high-confidence predicted structured domains. A pool of representative structures was generated using a Monte Carlo method that adjusts backbone dihedral allowed angles along potentially flexible regions. A fast ensemble modelling method was employed that optimizes the fit of pair distance distribution functions [P(r) versus r] and intensity profiles [I(q) versus q] computed from the pool to their experimental counterparts. These results highlight the complementarity between AF prediction, solution SAXS and molecular dynamics/conformational sampling for structural modelling of proteins having both structured and flexible regions.

PMID:37555230 | PMC:PMC10405597 | DOI:10.1107/S1600576723005344

J Orthop. 2023 Jul 26;43:64-68. doi: 10.1016/j.jor.2023.07.029. eCollection 2023 Sep.

ABSTRACT

BACKGROUND: Cocaine use has surged in the past decade, with 4.8 million Americans (1.7% of the population greater than 12) reporting use in 2021, leading to a healthcare burden of 1.3 billion dollars. Cocaine users experience prolonged hospital stays, higher costs, worse surgical outcomes, increased risk of medical conditions, and inflammation-related osteoarthritis. The study aims to identify factors influencing length of stay, costs, and perioperative complications in cocaine users undergoing total hip arthroplasty (THA) to reduce these risks.

METHODS: This study utilized the NIS database, providing comprehensive information on patient demographics, length of stay, hospital costs, and complications. Statistical analyses were conducted using SPSS software, including propensity matching and significance testing, to compare outcomes between cocaine users (CU) and non-cocaine users (NCU) undergoing total hip arthroplasty.

RESULTS: After propensity matching, cocaine users had a significantly longer LOS (4.8 days) in comparison to non-cocaine users (2.6 days) (p < 0.001). Similarly, the CU group had a larger of care (87984.9) than the NCU group (69149.2) (p < 0.001). Cocaine users had significantly higher rates of blood loss anemia (OR: 3.24, 95% CI: 2.21, 4.73), blood loss anemia (OR: 1.59, 95% CI: 1.12, 2.24), blood transfusion (OR: 2.23, 95% CI: 1.04, 4.78), periprosthetic dislocation (OR: 6.57, 95% CI: 1.47, 29.32), and periprosthetic infection (OR: 4.59, 95% CI: 1.54, 13.68) than patients in the non-cocaine user’s group.

CONCLUSION: Cocaine users had a significantly longer length of stay, higher costs of care, and an increased number of post-operative complications compared to non-cocaine users. These data contribute to understanding the potential ramifications of cocaine users undergoing THA.

PMID:37555205 | PMC:PMC10404604 | DOI:10.1016/j.jor.2023.07.029

J Orthop. 2023 Jul 23;43:25-29. doi: 10.1016/j.jor.2023.07.011. eCollection 2023 Sep.

ABSTRACT

PURPOSE: Image-based Robotic Total knee Arthroplasty (RA-TKA)was developed with the purpose of enhancing the accuracy in determining the component sizes preoperatively and helping surgeons in minimizing errors and improve patient outcomes. The research aims to find the reliability of robotic-assisted TKR based on images in determining the correct component sizes using preoperative three-dimensional (3D) computer tomography.

METHOD: After ethical approval, we conducted a prospective study from March 2022 to December 2022. A total of 100 knees underwent image-based RA-TKA having grade 4 Osteoarthritis knee (Kellegren Lawrence classification). A single senior surgeon performed on all patients. Postoperative implant sizes and fit were assessed by five radiographic markers by an independent observer.

RESULTS: In our study, we found the mean age was (64.96 ± 7.3) years, with female to male ratio of 43:22. The preoperative 3D CT accuracy is 100% for femoral component sizing and 97% for the tibial component. There was a statistically significant improvement in varus deformity from preoperative 7.370 ± 3.70° to 1.24 0 ± 0.910° after surgery., p = 0.001. Improvement in flexion deformity correction was from preoperative 6.50 ± 6.30 to postoperative 1.640 ± 1.770, p = 0.001.

CONCLUSION: Our study concludes that the use of pre-operative 3D CT helps in predicting the component sizes, minimizes surgical time, and enhances implant position accuracy, as well as improves postoperative limb alignment in the coronal and sagittal planes.

PMID:37555200 | PMC:PMC10405159 | DOI:10.1016/j.jor.2023.07.011

Front Neuroimaging. 2022 Jun 23;1:879098. doi: 10.3389/fnimg.2022.879098. eCollection 2022.

ABSTRACT

BACKGROUND: Understanding the relationship between cerebrospinal fluid (CSF) dynamics and intrathecal drug delivery (ITDD) injection parameters is essential to improve treatment of central nervous system (CNS) disorders.

METHODS: An anatomically detailed in vitro model of the complete CSF system was constructed. Patient-specific cardiac- and respiratory-induced CSF oscillations were input to the model in the subarachnoid space and within the ventricles. CSF production was input at the lateral ventricles and CSF absorption at the superior sagittal sinus. A model small molecule simulated drug product containing fluorescein was imaged within the system over a period of 3-h post-lumbar ITDD injections and used to quantify the impact of (a) bolus injection volume and rate, (b) post-injection flush volume, rate, and timing, (c) injection location, and (d) type of injection device. For each experiment, neuraxial distribution of fluorescein in terms of spatial temporal concentration, area-under-the-curve (AUC), and percent of injected dose (%ID) to the brain was quantified at a time point 3-h post-injection.

RESULTS: For all experiments conducted with ITDD administration in the lumbar spine, %ID to the brain did not exceed 11.6% at a time point 3-h post-injection. Addition of a 12 mL flush slightly increased solute transport to the brain up to +3.9%ID compared to without a flush (p < 0.01). Implantation of a lumbar catheter with the tip at an equivalent location to the lumbar placed needle, but with rostral tip orientation, resulted in a small improvement of 1.5%ID to the brain (p < 0.05). An increase of bolus volume from 5 to 20 mL improved solute transport to the brain from 5.0 to 6.3%ID, but this improvement was not statistically significant. Increasing bolus injection rate from 5 to 13.3 mL/min lacked improvement of solute transport to the brain, with a value of 6.3 compared to 5.7%ID.

CONCLUSION: The in vitro modeling approach allowed precisely controlled and repeatable parametric investigation of ITDD injection protocols and devices. In combination, the results predict that parametric changes in lumbar spine ITDD-injection related parameters and devices can alter %ID to the brain and be tuned to optimize therapeutic benefit to CNS targets.

PMID:37555174 | PMC:PMC10406265 | DOI:10.3389/fnimg.2022.879098

Front Neuroimaging. 2023 Jan 10;1:1070151. doi: 10.3389/fnimg.2022.1070151. eCollection 2022.

ABSTRACT

Functional MRI (fMRI) has become a popular technique to study brain functions and their alterations in psychiatric and neurological conditions. The sample sizes for fMRI studies have been increasing steadily, and growing studies are sourced from open-access brain imaging repositories. Quality control becomes critical to ensure successful data processing and valid statistical results. Here, we outline a simple protocol for fMRI data pre-processing and quality control based on statistical parametric mapping (SPM) and MATLAB. The focus of this protocol is not only to identify and remove data with artifacts and anomalies, but also to ensure the processing has been performed properly. We apply this protocol to the data from fMRI Open quality control (QC) Project, and illustrate how each quality control step can help to identify potential issues. We also show that simple steps such as skull stripping can improve coregistration between the functional and anatomical images.

PMID:37555150 | PMC:PMC10406300 | DOI:10.3389/fnimg.2022.1070151