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BMJ Open Ophthalmology Jun 2024Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. Prompt diagnosis and treatment are crucial in ROP management. Thus, the... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. Prompt diagnosis and treatment are crucial in ROP management. Thus, the identification of prominent risk factors could facilitate immediate action. Among various risk factors, the effects of mode of delivery on ROP remain unclear. Therefore, this study aims to assess the association between different modes of delivery on ROP incidence.
METHODS AND ANALYSIS
Comprehensive literature search was conducted on PubMed, ProQuest, EBSCOHost and Cochrane databases, to evaluate the association of mode of delivery-vaginal delivery or caesarean section (c-section)-and the incidence of ROP from inception to December 2023. Random-effects meta-analysis was performed to estimate the pooled OR along with their 95% CIs.
RESULTS
This review included 5 cohort studies involving 2048 babies. A higher incidence of ROP was observed in infants born through vaginal delivery compared with caesarean section. Meta-analysis showed that C-section decreased the unadjusted odds of having ROP infants by 46% with low heterogeneity (OR 0.54 (95% CI 0.40 to 0.73); I=40.73%). However, pooled adjusted effects were statistically insignificant with moderate heterogeneity (adjusted OR 0.59 (95% CI 0.28 to 1.23); I=70.51%), possibly stemming from multiple variations in the controlled variables of each study.
CONCLUSION
Despite varying statistical significance, our findings underscore the crucial need to comprehend the influence of delivery mode on neonatal ophthalmic outcomes. Due to a limited number of existing studies, further research is needed to confirm the association.
PROSPERO REGISTRATION NUMBER
CRD42023486278.
Topics: Humans; Retinopathy of Prematurity; Incidence; Infant, Newborn; Delivery, Obstetric; Female; Risk Factors; Pregnancy; Cesarean Section; Gestational Age
PubMed: 38918018
DOI: 10.1136/bmjophth-2024-001678 -
Archives of Pathology & Laboratory... Jul 2024Overexposure to respirable coal mine dust can cause severe lung disease including progressive massive fibrosis (PMF). Field emission scanning electron microscopy with...
In Situ Lung Dust Analysis by Automated Field Emission Scanning Electron Microscopy With Energy Dispersive X-ray Spectroscopy: A Method for Assessing Inorganic Particles in Lung Tissue From Coal Miners.
CONTEXT.—
Overexposure to respirable coal mine dust can cause severe lung disease including progressive massive fibrosis (PMF). Field emission scanning electron microscopy with energy dispersive x-ray spectroscopy (FESEM-EDS) has been used for in situ lung dust particle analysis for evaluation of disease etiology. Automating such work can reduce time, costs, and user bias.
OBJECTIVE.—
To develop and test an automated FESEM-EDS method for in situ analysis of inorganic particles in coal miner lung tissue.
DESIGN.—
We programmed an automated FESEM-EDS procedure to collect particle size and elemental data, using lung tissue from 10 underground coal miners with PMF and 4 control cases. A statistical clustering approach was used to establish classification criteria based on particle chemistry. Data were correlated to PMF/non-PMF areas of the tissue, using corresponding brightfield microscopy images. Results for each miner case were compared with a separate corresponding analysis of particles recovered following tissue digestion.
RESULTS.—
In situ analysis of miner tissues showed higher particle number densities than controls and densities were generally higher in PMF than non-PMF areas. Particle counts were typically dominated by aluminum silicates with varying percentages of silica. Compared to digestion results for the miner tissues, in situ results indicated lower density of particles (number per tissue volume), larger size, and a lower ratio of silica to total silicates-probably due to frequent particle clustering in situ.
CONCLUSIONS.—
Automated FESEM-EDS analysis of lung dust is feasible in situ and could be applied to a larger set of mineral dust-exposed lung tissues to investigate specific histologic features of PMF and other dust-related occupational diseases.
Topics: Humans; Spectrometry, X-Ray Emission; Dust; Lung; Coal Mining; Microscopy, Electron, Scanning; Occupational Exposure; Male; Particle Size
PubMed: 38918006
DOI: 10.5858/arpa.2024-0002-OA -
Poultry Science Jun 2024Spotty Liver Disease (SLD), caused by Campylobacter hepaticus or C. bilis infection in adult female chickens continues to emerge as a major disease problem in cage-free...
Spotty Liver Disease (SLD), caused by Campylobacter hepaticus or C. bilis infection in adult female chickens continues to emerge as a major disease problem in cage-free production systems. Free range production has become the predominant system in Australian egg production and SLD is widespread in these farms. Previous studies have identified having a scratch area as a key determinant for SLD occurrence. An Australia-wide survey of egg production flocks with scratch areas was conducted regarding SLD including 48 individual flocks. Descriptive information on the facilities and flock management practices was reported. The incidence of SLD, age of first outbreak, initial mortality rate, duration of elevated mortality, and magnitude and duration of any associated egg production decline are described. Recurrence of SLD in the same flock was also reported and discussed. Therapies applied were recorded and assessed across SLD severity and duration. SLD occurred in 66.7% of layer flocks whose facility included a scratch area. Recurrent SLD outbreaks occurred in 31% of flocks experiencing SLD. Antibiotic medication reduced duration of mortality and egg production decline. Antibiotic therapy was associated with reduced duration of mortality and a less severe and shorter duration of egg production drops compared to untreated flocks. PCR detection of C. hepaticus in cloacal swabs and house dust samples and a serological ELISA test were compared and evaluated as diagnostic aids or as possible predictors of SLD outbreaks. The ELISA showed substantial agreement with detection of C. hepaticus in cloacal swabs by PCR. Examining composite house dust samples by PCR for C. hepaticus DNA appeared to be the most convenient and cost-effective aid to diagnosis and as a putative predictor for SLD outbreaks.
PubMed: 38917603
DOI: 10.1016/j.psj.2024.103941 -
International Journal For Parasitology.... Jun 2024Toxoplasma gondii and Neospora caninum are major worldwide morbidity-causing pathogens. Bumped kinase inhibitors (BKIs) are a compound class that has been optimized to...
Efficacy of the bumped kinase inhibitor BKI-1708 against the cyst-forming apicomplexan parasites Toxoplasma gondii and Neospora caninum in vitro and in experimentally infected mice.
Toxoplasma gondii and Neospora caninum are major worldwide morbidity-causing pathogens. Bumped kinase inhibitors (BKIs) are a compound class that has been optimized to target the apicomplexan calcium-dependent protein kinase 1 (CDPK1) - and several members of this class have proven to be safe and highly active in vitro and in vivo. BKI-1708 is based on a 5-aminopyrazole-4-carboxamide scaffold, and exhibited in vitro IC values of 120 nM for T. gondii and 480 nM for N. caninum β-galactosidase expressing strains, and did not affect human foreskin fibroblast (HFF) viability at concentrations up to 25 μM. Electron microscopy established that exposure of tachyzoite-infected fibroblasts to 2.5 μM BKI-1708 in vitro induced the formation of multinucleated schizont-like complexes (MNCs), characterized by continued nuclear division and harboring newly formed intracellular zoites that lack the outer plasma membrane. These zoites were unable to finalize cytokinesis to form infective tachyzoites. BKI-1708 did not affect zebrafish (Danio rerio) embryo development during the first 96 h following egg hatching at concentrations up to 2 μM. Treatments of mice with BKI-1708 at 20 mg/kg/day during five consecutive days resulted in drug plasma levels ranging from 0.14 to 4.95 μM. In vivo efficacy of BKI-1708 was evaluated by oral application of 20 mg/kg/day from day 9-13 of pregnancy in mice experimentally infected with N. caninum (NcSpain-7) tachyzoites or T. gondii (TgShSp1) oocysts. This resulted in significantly decreased cerebral parasite loads and reduced vertical transmission in both models without drug-induced pregnancy interference.
PubMed: 38917582
DOI: 10.1016/j.ijpddr.2024.100553 -
EBioMedicine Jun 2024DNA methylation biomarkers in colorectal cancer (CRC) tissue hold potential as prognostic indicators. However, individual studies have yielded heterogeneous results, and...
BACKGROUND
DNA methylation biomarkers in colorectal cancer (CRC) tissue hold potential as prognostic indicators. However, individual studies have yielded heterogeneous results, and external validation is largely absent. We conducted a comprehensive external validation and meta-analysis of previously suggested gene methylation biomarkers for CRC prognosis.
METHODS
We performed a systematic search to identify relevant studies investigating gene methylation biomarkers for CRC prognosis until March 2024. Our external validation cohort with long-term follow-up included 2303 patients with CRC from 22 hospitals in southwest Germany. We used Cox regression analyses to assess associations between previously suggested gene methylation biomarkers and prognosis, adjusting for clinical variables. We calculated pooled hazard ratios (HRs) and their 95% confidence intervals (CIs) using random-effects models.
FINDINGS
Of 151 single gene and 29 multiple gene methylation biomarkers identified from 121 studies, 37 single gene and seven multiple gene biomarkers were significantly associated with CRC prognosis after adjustment for clinical variables. Moreover, the directions of these associations with prognosis remained consistent between the original studies and our validation analyses. Seven single biomarkers and two multi-biomarker signatures were significantly associated with CRC prognosis in the meta-analysis, with a relatively strong level of evidence for CDKN2A, WNT5A, MLH1, and EVL.
INTERPRETATION
In a comprehensive evaluation of the so far identified gene methylation biomarkers for CRC prognosis, we identified candidates with potential clinical relevance for further investigation.
FUNDING
The German Research Council, the Interdisciplinary Research Program of the National Center for Tumor Diseases (NCT), Germany, the German Federal Ministry of Education and Research.
PubMed: 38917511
DOI: 10.1016/j.ebiom.2024.105223 -
Journal of Medical Internet Research Jun 2024Cancer has emerged as a considerable global health concern, contributing substantially to both morbidity and mortality. Recognizing the urgent need to enhance the... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Cancer has emerged as a considerable global health concern, contributing substantially to both morbidity and mortality. Recognizing the urgent need to enhance the overall well-being and quality of life (QOL) of cancer patients, a growing number of researchers have started using online mindfulness-based interventions (MBIs) in oncology. However, the effectiveness and optimal implementation methods of these interventions remain unknown.
OBJECTIVE
This study evaluates the effectiveness of online MBIs, encompassing both app- and website-based MBIs, for patients with cancer and provides insights into the potential implementation and sustainability of these interventions in real-world settings.
METHODS
Searches were conducted across 8 electronic databases, including the Cochrane Library, Web of Science, PubMed, Embase, SinoMed, CINAHL Complete, Scopus, and PsycINFO, until December 30, 2022. Randomized controlled trials involving cancer patients aged ≥18 years and using app- and website-based MBIs compared to standard care were included. Nonrandomized studies, interventions targeting health professionals or caregivers, and studies lacking sufficient data were excluded. Two independent authors screened articles, extracted data using standardized forms, and assessed the risk of bias in the studies using the Cochrane Bias Risk Assessment Tool. Meta-analyses were performed using Review Manager (version 5.4; The Cochrane Collaboration) and the meta package in R (R Foundation for Statistical Computing). Standardized mean differences (SMDs) were used to determine the effects of interventions. The Reach, Effectiveness, Adoption, Implementation, and Maintenance framework was used to assess the potential implementation and sustainability of these interventions in real-world settings.
RESULTS
Among 4349 articles screened, 15 (0.34%) were included. The total population comprised 1613 participants, of which 870 (53.9%) were in the experimental conditions and 743 (46.1%) were in the control conditions. The results of the meta-analysis showed that compared with the control group, the QOL (SMD 0.37, 95% CI 0.18-0.57; P<.001), sleep (SMD -0.36, 95% CI -0.71 to -0.01; P=.04), anxiety (SMD -0.48, 95% CI -0.75 to -0.20; P<.001), depression (SMD -0.36, 95% CI -0.61 to -0.11; P=.005), distress (SMD -0.50, 95% CI -0.75 to -0.26; P<.001), and perceived stress (SMD -0.89, 95% CI -1.33 to -0.45; P=.003) of the app- and website-based MBIs group in patients with cancer was significantly alleviated after the intervention. However, no significant differences were found in the fear of cancer recurrence (SMD -0.30, 95% CI -1.04 to 0.44; P=.39) and posttraumatic growth (SMD 0.08, 95% CI -0.26 to 0.42; P=.66). Most interventions were multicomponent, website-based health self-management programs, widely used by international and multilingual patients with cancer.
CONCLUSIONS
App- and website-based MBIs show promise for improving mental health and QOL outcomes in patients with cancer, and further research is needed to optimize and customize these interventions for individual physical and mental symptoms.
TRIAL REGISTRATION
PROSPERO CRD42022382219; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=382219.
Topics: Humans; Mindfulness; Neoplasms; Quality of Life; Internet; Internet-Based Intervention; Female; Male; Adult
PubMed: 38917445
DOI: 10.2196/47704 -
JCO Clinical Cancer Informatics Jun 2024The estimation of prognosis and life expectancy is critical in the care of patients with advanced cancer. To aid clinical decision making, we build a prognostic strategy...
PURPOSE
The estimation of prognosis and life expectancy is critical in the care of patients with advanced cancer. To aid clinical decision making, we build a prognostic strategy combining a machine learning (ML) model with explainable artificial intelligence to predict 1-year survival after palliative radiotherapy (RT) for bone metastasis.
MATERIALS AND METHODS
Data collected in the multicentric PRAIS trial were extracted for 574 eligible adults diagnosed with metastatic cancer. The primary end point was the overall survival (OS) at 1 year (1-year OS) after the start of RT. Candidate covariate predictors consisted of 13 clinical and tumor-related pre-RT patient characteristics, seven dosimetric and treatment-related variables, and 45 pre-RT laboratory variables. ML models were developed and internally validated using the Python package. The effectiveness of each model was evaluated in terms of discrimination. A Shapley Additive Explanations (SHAP) explainability analysis to infer the global and local feature importance and to understand the reasons for correct and misclassified predictions was performed.
RESULTS
The best-performing model for the classification of 1-year OS was the extreme gradient boosting algorithm, with AUC and F1-score values equal to 0.805 and 0.802, respectively. The SHAP technique revealed that higher chance of 1-year survival is associated with low values of interleukin-8, higher values of hemoglobin and lymphocyte count, and the nonuse of steroids.
CONCLUSION
An explainable ML approach can provide a reliable prediction of 1-year survival after RT in patients with advanced cancer. The implementation of SHAP analysis provides an intelligible explanation of individualized risk prediction, enabling oncologists to identify the best strategy for patient stratification and treatment selection.
Topics: Humans; Machine Learning; Bone Neoplasms; Palliative Care; Male; Female; Prognosis; Aged; Middle Aged; Algorithms
PubMed: 38917384
DOI: 10.1200/CCI.24.00027 -
PloS One 2024The aim of this research was to evaluate the incidence of congenital syphilis and the ratio between congenital syphilis and syphilis in pregnant women in Brazil...
The aim of this research was to evaluate the incidence of congenital syphilis and the ratio between congenital syphilis and syphilis in pregnant women in Brazil according to socioeconomic indicators (inadequate water supply and sanitation; illiteracy at 15 years of age or older; household income per capita; proportion of poor people; Gini index; human development index; and average health expenditure per inhabitant by the health system) and prenatal quality-of-care indicators. We conducted an ecological study using a sample composed of 257 municipalities, each with ≥ 100,000 inhabitants. Data was collected from four public databases: the Brazilian Institute of Geography and Statistics, comprising socioeconomical data from the 2010 census; and the data of 2019 available in the databases of the Department of Informatics of the Brazilian Health System, Information and Management of Primary Care, and the Electronic Citizen Information System. Descriptive analysis of dependent and independent variables and bivariate analysis by Negative Binomial regression were carried out. The mean incidence of congenital syphilis was 38% higher in municipalities with a Human Development Index up to 0.785 (ratio of means [RM] = 1.38; p = 0.049) and 57% higher among populations where less than 50% of primary healthcare services provided a rapid test for syphilis (RM = 1.57; p < 0.001). The ratio between congenital syphilis and syphilis in pregnant women was 29% higher in municipalities with a low household income per capita (RM = 1.29; p < 0.001) and 28% higher in locations where less than 50% of the primary healthcare services provided a rapid test for syphilis (RM = 1.28; p < 0.001). There was no statistical significance of the quality of prenatal care compared to the outcomes. This result underscores the challenges in detecting syphilis infections among pregnant women during prenatal care, consequently increasing the risk of vertical transmission of the disease to the fetus. Traits of inequality in the occurrence of congenital syphilis also draw attention to strategies to reduce health inequities and improve prenatal care.
Topics: Humans; Pregnancy; Female; Brazil; Syphilis, Congenital; Prenatal Care; Pregnancy Complications, Infectious; Incidence; Adult; Socioeconomic Factors; Syphilis; Adolescent; Young Adult
PubMed: 38917233
DOI: 10.1371/journal.pone.0306120 -
PLoS Neglected Tropical Diseases Jun 2024Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne disease with susceptibility influenced by meteorological factors. However, there is limited...
BACKGROUND
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne disease with susceptibility influenced by meteorological factors. However, there is limited understanding of the delayed and interactive impacts of meteorological factors on SFTS incidence.
METHODS
Daily incidence data of SFTS and corresponding meteorological factors for the Jiaodong Peninsula in northeast China were collected from January 1, 2014, to December 31, 2020. Random forest regression model, based on custom search, was performed to compare the importance of meteorological factors. Generalized additive model with quasi-Poisson regression was conducted to examine the nonlinear relationships and interactive effects using penalized spline methods. A distributed lag nonlinear model with quasi-Poisson regression was constructed to estimate exposure-lag effects of meteorological factors.
RESULTS
The most important meteorological factor was weekly mean lowest temperature. The relationship between meteorological factors and SFTS incidence revealed a nonlinear and intricate pattern. Interaction analyses showed that prolonged sunshine duration posed a climatic risk within a specific temperature range for SFTS incidence. The maximum relative risk (RR) observed under extremely low temperature (-4°C) was 1.33 at lag of 15 week, while under extremely high temperature (25°C), the minimum RR was 0.65 at lag of 13 week. The RRs associated with both extremely high and low sunshine duration escalated with an increase in lag weeks.
CONCLUSIONS
This study underscores that meteorological factors exert nonlinear, delayed, and interactive effects on SFTS incidence. These findings highlight the importance of understanding the dependency of SFTS incidence on meteorological factors in particular climates.
PubMed: 38917232
DOI: 10.1371/journal.pntd.0012266 -
PloS One 2024Pleural empyema is a serious complication of pneumonia in children. Negative bacterial cultures commonly impede optimal antibiotic therapy. To improve bacterial... (Observational Study)
Observational Study
Pleural empyema is a serious complication of pneumonia in children. Negative bacterial cultures commonly impede optimal antibiotic therapy. To improve bacterial identification, we developed a molecular assay and evaluated its performance compared with bacterial culture. Our multiplex-quantitative PCR to detect Streptococcus pneumoniae, Streptococcus pyogenes, Staphylococcus aureus and Haemophilus influenzae was assessed using bacterial genomic DNA and laboratory-prepared samples (n = 267). To evaluate clinical performance, we conducted the Molecular Assessment of Thoracic Empyema (MATE) observational study, enrolling children hospitalised with empyema. Pleural fluids were tested by bacterial culture and multiplex-qPCR, and performance determined using a study gold standard. We determined clinical sensitivity and time-to-organism-identification to assess the potential of the multiplex-qPCR to reduce the duration of empiric untargeted antibiotic therapy. Using spiked samples, the multiplex-qPCR demonstrated 213/215 (99.1%) sensitivity and 52/52 (100%) specificity for all organisms. During May 2019-March 2023, 100 children were enrolled in the MATE study; median age was 3.9 years (IQR 2-5.6). A bacterial pathogen was identified in 90/100 (90%) specimens by multiplex-qPCR, and 24/100 (24%) by bacterial culture (P <0.001). Multiplex-qPCR identified a bacterial cause in 68/76 (90%) culture-negative specimens. S. pneumoniae was the most common pathogen, identified in 67/100 (67%) specimens. We estimate our multiplex-qPCR would have reduced the duration of untargeted antibiotic therapy in 61% of cases by a median 20 days (IQR 17.5-23, range 1-55). Multiplex-qPCR significantly increased pathogen detection compared with culture and may allow for reducing the duration of untargeted antibiotic therapy.
Topics: Humans; Child, Preschool; Empyema, Pleural; Male; Female; Multiplex Polymerase Chain Reaction; Child; Haemophilus influenzae; Staphylococcus aureus; Streptococcus pneumoniae; Streptococcus pyogenes; Infant; Hospitalization; Anti-Bacterial Agents; Sensitivity and Specificity; DNA, Bacterial
PubMed: 38917227
DOI: 10.1371/journal.pone.0304861