Category: Statistics

SAGE Open Med. 2024 Aug 31;12:20503121241275230. doi: 10.1177/20503121241275230. eCollection 2024.

ABSTRACT

INTRODUCTION: Contact with pets within healthcare settings is considered worldwide an added value to assistance both in the case of animal-assisted interventions and also when pets are visiting hospitalized owners, due to the special emotional relationship between them and their pets. The goal of this work was to analyze local experiences on access of pets to healthcare facilities using a survey sent to doctors, veterinarians, and students in the region of Sardinia (Italy).

METHODS: The online survey consisted of 17 questions, with the objective to evaluate knowledge and interest of study participants on some aspects of human-animal interaction with particular reference to potential access of pets to hospitals facilities and nursing homes and to promote an initial social judgment in the medical and healthcare environment. A total of 2484 subjects were invited to participate to the survey through an email explaining the purpose of the study. Statistical analysis on the survey results was conducted by comparing the characteristics of respondents with their answers to animal-assisted-intervention-related questions.

RESULTS: Results showed that over 70% of the participants owned an animal; almost 80% of responses showed that survey participants were in favor of animal presence in hospitals; furthermore, the responses showed how the concept of One Health seems not only scarcely established, but also barely known. The large majority of respondents (over 80%) positively responded on questions around the role of animals as co-therapists.

CONCLUSIONS: On the one hand, this study showed lack of knowledge on the concept of One Health, whose essence is too often unknown and, on the other hand, it confirmed that women may be more inclined to show empathy and sensitivity toward animals. Regarding the profession, students seem more concerned about the introduction of animals into hospitals than healthcare workers.

PMID:39224895 | PMC:PMC11367599 | DOI:10.1177/20503121241275230

Eur Heart J Imaging Methods Pract. 2024 Jul 12;2(2):qyae067. doi: 10.1093/ehjimp/qyae067. eCollection 2024 Apr.

ABSTRACT

AIMS: Rheumatic mitral stenosis (MS) frequently leads to impaired left atrial (LA) function because of pressure overload, highlighting the underlying atrial pathology. Two-dimensional speckle tracking echocardiography (2D-STE) offers early detection of LA dysfunction, potentially improving risk assessment in patients with MS. This study aims to evaluate the predictive value of LA function assessed by 2D-STE for clinical outcomes in patients with MS.

METHODS AND RESULTS: Between 2011 and 2021, patients with MS underwent LA function assessment using 2D-STE, with focus on the reservoir phase (LASr). Atrial fibrillation (AF) development constituted the primary outcome, with death or valve replacement as the secondary outcome. Conditional inference trees were employed for analysis, validated through sample splitting. The study included 493 patients with MS (mean valve area 1.1 ± 0.4 cm², 84% female). At baseline, 166 patients (34%) had AF, with 62 patients (19%) developing AF during follow-up. LASr emerged as the primary predictor for new-onset AF, with a threshold of 17.9%. Over a mean 3.8-year follow-up, 125 patients (25%) underwent mitral valve replacement, and 32 patients (6.5%) died. A decision tree analysis identified key predictors such as age, LASr, severity of tricuspid regurgitation (TR), net atrioventricular compliance (C _n), and early percutaneous mitral valvuloplasty, especially in patients aged ≤49 years, where LASr, with a threshold of 12.8%, significantly predicted adverse outcomes.

CONCLUSION: LASr emerged as a significant predictor of cardiovascular events in this MS cohort, validated through a decision tree analysis. Patients were stratified into low- or high-risk categories for adverse outcomes, taking into account LASr, age, TR severity, and C _n.

PMID:39224865 | PMC:PMC11367946 | DOI:10.1093/ehjimp/qyae067

Eur Heart J Imaging Methods Pract. 2024 Aug 5;2(2):qyae080. doi: 10.1093/ehjimp/qyae080. eCollection 2024 Apr.

ABSTRACT

AIMS: Tricuspid regurgitation (TR) is associated with heart failure (HF) and reduced survival. Within a short-time period, transcatheter tricuspid valve repair or replacement (TTVR/TTVr) for TR has evolved from innovation to clinical reality. The present study’s aim is to provide 1-year results between TR patients treated with TTVR and TTVr compared with untreated patients, in terms of cardiac survival, rehospitalization, right-side HF symptom development, and New York Heart Association (NYHA) improvement.

METHODS AND RESULTS: Seventy-seven patients (pts) have been prospectively inserted into a dedicated database from January 2020 till January 2023. Twenty-six patients (33.8%) have been treated with TTVR/r [treated group (TG)], and 51 pts (66.2%) have been left untreated with medical therapy optimization [untreated group (UNTG)]. Analysing the cardiac death between the two groups, there was a significant statistical difference since TG has less incidence of exitus in the general population (P = 0.05). Concerning HF hospitalization, TG has a lower incidence with a P = 0.005. In TG, there was a significant improvement in NYHA class at follow-up (FUP) (P = 0.001) as well as an improvement in right-side HF symptoms (P = 0.001).

CONCLUSION: This study shows that treatment in the case of TR with right-side HF has a positive impact on cardiac death and HF hospitalization at 1 year. And there is a significant improvement in clinical and echocardiographic status at FUP in the TG.

PMID:39224864 | PMC:PMC11367954 | DOI:10.1093/ehjimp/qyae080

ScientificWorldJournal. 2024 Aug 26;2024:6208571. doi: 10.1155/2024/6208571. eCollection 2024.

ABSTRACT

This research aims to create and evaluate an assessment tool termed Older Adults’ First Aid Knowledge Scale, which measures the knowledge and attitude of Iranian grandparents about first aid. In accordance with COSIM guidelines, 485 individuals in southern Iran completed the instrument as part of a psychometric investigation. Rasch partial credit model (PCM), exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and receiver operating characteristic (ROC) analysis were used to analyze the results. The final version of OFAKS consisted of 18 items that were validated through EFA, CFA, and item response theory (IRT) analysis. All items showed measurement invariance and consecutive response groupings in the predictable order, and the instrument had strong internal consistency. Although Rasch’s analysis demonstrated the significance of OFAKS, further investigations and testing in different settings are required to confirm the validity of the tool.

PMID:39224860 | PMC:PMC11368547 | DOI:10.1155/2024/6208571

Mov Ecol. 2024 Sep 2;12(1):59. doi: 10.1186/s40462-024-00499-1.

ABSTRACT

BACKGROUND: Recent technological advances have resulted in low-cost GPS loggers that are small enough to be used on a range of seabirds, producing accurate location estimates (± 5 m) at sampling intervals as low as 1 s. However, tradeoffs between battery life and sampling frequency result in studies using GPS loggers on flying seabirds yielding locational data at a wide range of sampling intervals. Metrics derived from these data are known to be scale-sensitive, but quantification of these errors is rarely available. Very frequent sampling, coupled with limited movement, can result in measurement error, overestimating movement, but a much more pervasive problem results from sampling at long intervals, which grossly underestimates path lengths.

METHODS: We use fine-scale (1 Hz) GPS data from a range of albatrosses and petrels to study the effect of sampling interval on metrics derived from the data. The GPS paths were sub-sampled at increasing intervals to show the effect on path length (i.e. ground speed), turning angles, total distance travelled, as well as inferred behavioural states.

RESULTS: We show that distances (and per implication ground speeds) are overestimated (4% on average, but up to 20%) at the shortest sampling intervals (1-5 s) and underestimated at longer intervals. The latter bias is greater for more sinuous flights (underestimated by on average 40% when sampling > 1-min intervals) as opposed to straight flight (11%). Although sample sizes were modest, the effect of the bias seemingly varied with species, where species with more sinuous flight modes had larger bias. Sampling intervals also played a large role when inferring behavioural states from path length and turning angles.

CONCLUSIONS: Location estimates from low-cost GPS loggers are appropriate to study the large-scale movements of seabirds when using coarse sampling intervals, but actual flight distances are underestimated. When inferring behavioural states from path lengths and turning angles, moderate sampling intervals (10-30 min) may provide more stable models, but the accuracy of the inferred behavioural states will depend on the time period associated with specific behaviours. Sampling rates have to be considered when comparing behaviours derived using varying sampling intervals and the use of bias-informed analyses are encouraged.

PMID:39223688 | DOI:10.1186/s40462-024-00499-1

BMC Med Inform Decis Mak. 2024 Sep 2;24(1):244. doi: 10.1186/s12911-024-02642-9.

ABSTRACT

BACKGROUND: Predictive modeling based on multi-omics data, which incorporates several types of omics data for the same patients, has shown potential to outperform single-omics predictive modeling. Most research in this domain focuses on incorporating numerous data types, despite the complexity and cost of acquiring them. The prevailing assumption is that increasing the number of data types necessarily improves predictive performance. However, the integration of less informative or redundant data types could potentially hinder this performance. Therefore, identifying the most effective combinations of omics data types that enhance predictive performance is critical for cost-effective and accurate predictions.

METHODS: In this study, we systematically evaluated the predictive performance of all 31 possible combinations including at least one of five genomic data types (mRNA, miRNA, methylation, DNAseq, and copy number variation) using 14 cancer datasets with right-censored survival outcomes, publicly available from the TCGA database. We employed various prediction methods and up-weighted clinical data in every model to leverage their predictive importance. Harrell’s C-index and the integrated Brier Score were used as performance measures. To assess the robustness of our findings, we performed a bootstrap analysis at the level of the included datasets. Statistical testing was conducted for key results, limiting the number of tests to ensure a low risk of false positives.

RESULTS: Contrary to expectations, we found that using only mRNA data or a combination of mRNA and miRNA data was sufficient for most cancer types. For some cancer types, the additional inclusion of methylation data led to improved prediction results. Far from enhancing performance, the introduction of more data types most often resulted in a decline in performance, which varied between the two performance measures.

CONCLUSIONS: Our findings challenge the prevailing notion that combining multiple omics data types in multi-omics survival prediction improves predictive performance. Thus, the widespread approach in multi-omics prediction of incorporating as many data types as possible should be reconsidered to avoid suboptimal prediction results and unnecessary expenditure.

PMID:39223659 | DOI:10.1186/s12911-024-02642-9

J Ethnobiol Ethnomed. 2024 Sep 2;20(1):82. doi: 10.1186/s13002-024-00709-5.

ABSTRACT

BACKGROUND: The field of traditional medicine encompasses a wide range of knowledge, skills, and practices that are deeply rooted in the theories, beliefs, and experiences of different cultures. The research aimed to identify traditional medicinal plants used in Guraferda District and assess the threats they face.

METHOD: A total of 96 individuals, 80 males and 16 females, were interviewed to gather ethnobotanical data. Statistical tests like independent t tests, ANOVA, correlation, and regression were conducted using R software version 4.3.2 to compare informant groups.

RESULT: The study found 81 medicinal plant species in the district from 71 genera and 38 families, with Asteraceae and Solanaceae families having the most species. Leaves were the most commonly used plant part for medicine. Significant differences in plant knowledge were observed across genders, age groups, education levels, and experiences. The highest ICF value was for Dermal and Cutaneous ailments, and Cissampelos mucronata A. Rich and Bidens pilosa L. had the highest fidelity levels.

CONCLUSION: The study highlighted the importance of traditional medicinal plants in treating ailments but noted threats like overharvesting, habitat destruction, and climate change. Conservation efforts and sustainable harvesting practices are crucial to ensure the availability of these plants for future generations. Further research is needed to explore their potential for modern medicine and develop sustainable use strategies.

PMID:39223653 | DOI:10.1186/s13002-024-00709-5

Acta Vet Scand. 2024 Sep 2;66(1):42. doi: 10.1186/s13028-024-00764-8.

ABSTRACT

Within the field of clinical research, reports on the stability of avian serum amyloid A (SAA) under varying storage conditions are currently scarce. In this study, avian plasma samples were evaluated for SAA, a major acute-phase protein in birds, to assess how varying storage periods and repeated freeze-thaw cycles impact the stability of SAA in the frozen samples. Seven plasma samples from two species and six plasma samples from three species stored at ‒20 °C were used to evaluate the time and temperature effects accordingly. A chicken-specific SAA ELISA kit was used for the measurements. Statistical analysis was performed using SPSS, and the Kruskal-Wallis test and Spearman’s correlation coefficient were applied, with statistical significance set at P < 0.05. The SAA concentrations measured daily for 30 days showed no statistically significant differences over time. Freezing-thawing was repeated five times, and a significant negative relationship was confirmed over the cycles (r=‒0.8857, P < 0.05). Although no significance was observed between a decreased concentration and the number of cycles, a decrease in the concentration of > 10% was observed after the fourth cycle in four out of six samples. However, one to three freeze-thaw cycles did not result in a significant decline. Taken together, the results indicate that a negative correlation existed between the mean concentration and multiple freeze-thaw cycles, indicating that these should be avoided where possible.

PMID:39223651 | DOI:10.1186/s13028-024-00764-8

BMC Health Serv Res. 2024 Sep 2;24(1):1014. doi: 10.1186/s12913-024-11428-8.

ABSTRACT

BACKGROUND: Antimicrobial stewardship (AMS) aims to improve antibiotic use while reducing resistance and its consequences. There is a paucity of data on the availability of AMS programmes in southern Nigeria. Further, there is no data on Nigerian healthcare professionals’ knowledge of the WHO ‘Access, Watch and Reserve’ (AWaRe) classification of antibiotics. This study sought to assess knowledge of AMS and the AWaRe classification of antibiotics among frontline healthcare professionals in Akwa Ibom State, Nigeria.

METHODS: This was a cross-sectional survey of 417 healthcare professionals, comprising medical doctors, pharmacists and nurses, across 17 public hospitals in Akwa Ibom State, Nigeria. A paper-based self-completion questionnaire was used to collect data from the participants during working hours between September and November 2023. Statistical analysis was done using SPSS version 25.0, with p < 0.05 indicating statistical significance.

RESULTS: Four hundred and seventeen out of the 500 healthcare professionals approached agreed to participate, giving an 83.4% response rate. Most of the participants were female (62.1%) and nurses (46.3%). Approximately 57% of participants were familiar with the term antibiotic/antimicrobial stewardship, however, only 46.5% selected the correct description of AMS. Majority (53.0%) did not know if AMS programme was available in their hospitals. 79% of participants did not know about AWaRe classification of antibiotics. Among the 87 (20.9%) who knew, 28.7% correctly identified antibiotics into the AWaRe groups from a given list. Only profession significantly predicted knowledge of AMS and awareness of the AWaRe classification of antibiotics (p < 0.001). Pharmacists were more likely to define AMS correctly than medical doctors (odds ratio [OR] = 2.02, 95% confidence interval [CI] = 1.16-3.52, p = 0.012), whereas nurses were less likely to be aware of the WHO AWaRe classification of antibiotics than medical doctors (OR = 0.36, 95% CI = 0.18-0.72, p = 0.004).

CONCLUSIONS: There was a notable knowledge deficit in both AMS and the AWaRe classification of antibiotics among participants in this study. This highlights the need for educational interventions targeted at the different cadres of healthcare professionals on the role of AMS programmes in reducing antimicrobial resistance and its consequences.

PMID:39223650 | DOI:10.1186/s12913-024-11428-8

Matern Health Neonatol Perinatol. 2024 Sep 3;10(1):18. doi: 10.1186/s40748-024-00188-2.

ABSTRACT

BACKGROUND: The incidence of chronic diseases, which are significant contributors to maternal deaths and adverse new-born outcomes, is increasing among women of reproductive age in northern Ghana. This emerging health issue raises serious concerns about the potential exacerbation of adverse birth outcomes in this setting, given that it is one of the regions in the country with a high incidence of such outcomes. We investigated the risks of preterm birth (PTB), low birth weight (LBW), and concurrent PTB and LBW among women with preexisting chronic conditions prior to conception in the Tamale Metropolis of northern Ghana.

METHODS: A facility-based cross-sectional study was conducted among 420 postpartum women randomly selected from five public health facilities. Information was collected electronically on participants’ self-reported experience of chronic conditions, namely, hypertension, diabetes, asthma, heart disease, and sickle cell disease, prior to their most recent pregnancy. Information on gestational age at delivery and birth weight was also collected. Regression modeling was used to quantify the risk of adverse newborn outcomes among women who reported preexisting chronic conditions prior to pregnancy.

RESULTS: Chronic diseases affected 31.2% of our sample. Of these, 28.6% had a single chronic condition, while 2.6% had comorbid chronic conditions. The prevalence of PTB was 24.0% (95% CI: 20.2, 28.4), 27.6% (95% CI: 23.5, 32.1) of the newborns were born LBW, and 17.4% (95% CI: 14.0, 21.3) of the pregnancies resulted in both PTB and LBW. Compared with those without chronic conditions, women with chronic conditions prior to conception had a greater risk of PTB (aOR = 6.78, 95% CI: 3.36, 13.68), LBW (aOR = 5.75, 95% CI: 2.96, 11.18), and the co-occurrence of PTB and LBW (aOR = 7.55, 95% CI: 3.32, 17.18).

CONCLUSIONS: We observed significant rates of PTB, LBW, and the co-occurrence of PTB and LBW among women who were already aware that they had preexisting chronic conditions prior to conception. Our findings highlight a potential gap in the quality of prenatal care provided to these women before delivery. Preconception care may offer an opportunity to address preexisting chronic conditions in women before pregnancy and potentially improve maternal and newborn health outcomes.

PMID:39223642 | DOI:10.1186/s40748-024-00188-2