Tag: statistics

Swiss Med Wkly. 2024 Jun 22;154(6):3400. doi: 10.57187/s.3400.

ABSTRACT

INTRODUCTION: The impact of impaired kidney function on healthcare use among medical hospitalisations with multimorbidity and frailty is incompletely understood. In this study, we assessed the prevalence of acute kidney injury (AKI) and chronic kidney disease (CKD) among multimorbid medical hospitalisations in Switzerland and explored the associations of kidney disease with in-hospital outcomes across different frailty strata.

METHODS: This observational study analysed nationwide hospitalisation records from 1 January 2012 to 31 December 2020. We included adults (age ≥18 years) with underlying multimorbidity hospitalised in a medical ward. The study population consisted of hospitalisations with AKI, CKD or no kidney disease (reference group), and was stratified by three frailty levels (non-frail, pre-frail, frail). Main outcomes were in-hospital mortality, intensive care unit (ICU) treatment, length of stay (LOS) and all-cause 30-day readmission. We estimated multivariable adjusted odds ratios (OR) and changes in percentage of log-transformed continuous outcomes with 95% confidence intervals (CI).

RESULTS: Among 2,651,501 medical hospitalisations with multimorbidity, 198,870 had a diagnosis of AKI (7.5%), 452,990 a diagnosis of CKD (17.1%) and 1,999,641 (75.4%) no kidney disease. For the reference group, the risk of in-hospital mortality was 4.4%, for the AKI group 14.4% (adjusted odds ratio [aOR] 2.56 [95% CI 2.52-2.61]) and for the CKD group 5.9% (aOR 0.98 [95% CI 0.96-0.99]), while prevalence of ICU treatment was, respectively, 10.5%, 21.8% (aOR 2.39 [95% CI 2.36-2.43]) and 9.3% (aOR 1.01 [95% CI 1.00-1.02]). Median LOS was 5 days (interquartile range [IQR] 2.0-9.0) in hospitalisations without kidney disease, 9 days (IQR 5.0-15.0) (adjusted change [%] 67.13% [95% CI 66.18-68.08%]) in those with AKI and 7 days (IQR 4.0-12.0) (adjusted change [%] 18.94% [95% CI 18.52-19.36%]) in those with CKD. The prevalence of 30-day readmission was, respectively, 13.3%, 13.7% (aOR 1.21 [95% CI 1.19-1.23]) and 14.8% (aOR 1.26 [95% CI 1.25-1.28]). In general, the frequency of adverse outcomes increased with the severity of frailty.

CONCLUSION: In medical hospitalisations with multimorbidity, the presence of AKI or CKD was associated with substantial additional hospitalisations and healthcare utilisation across all frailty strata. This information is of major importance for cost estimates and should stimulate discussion on reimbursement.

PMID:38980660 | DOI:10.57187/s.3400

Arch Sex Behav. 2024 Jul 9. doi: 10.1007/s10508-024-02940-3. Online ahead of print.

ABSTRACT

The present study aimed to investigate whether differences exist between younger and older presenting adolescents at the Center of Expertise on Gender Dysphoria regarding psychological functioning and autistic traits. A total of 1487 consecutively assessed adolescents between 2000 and 2018 were divided in younger presenters (age ≤ 13.9 years) and older presenters (age ≥ 14 years). Of younger presenters, 227 (41.1%) were assigned male at birth and 325 (58.9%) assigned female at birth. In older presenters, 279 (29.8%) were assigned male at birth and 656 (70.2%) assigned female at birth. Behavioral and emotional problems were assessed with the Child Behavior Checklist (CBCL) and the Youth Self-Report (YSR). For autism traits, the Social Responsiveness Scale (SRS) was used. Compared to younger presenters, on both the CBCL and YSR older presenters had higher Total Problem (β = 1.75, p = .005, CI 0.53-2.97, R² = .04 and β = 4.20, p < .001, CI 2.99-5.40, R² = .07, respectively) and Internalizing Problem (β = 4.43, p < .001, CI 3.13-5.74, R² = .06 and β = 6.69, p < .001, CI 5.31-8.07, R² = .12, respectively) scores. Regarding autistic traits, a higher mean SRS total score was found in older presenting assigned males at birth (β = 4.55, p = .036, CI 0.30-8.81, R² = .34). In assigned females at birth, no statistically significant difference between older and younger presenters was found in mean SRS total score (β = 1.19, p = .063, CI – 0.07 to 2.45, R² = .39). Differences in mental health exist between younger and older presenting adolescents and call for an individualized approach in the clinical care of transgender adolescents.

PMID:38980647 | DOI:10.1007/s10508-024-02940-3

Drugs Aging. 2024 Jul 9. doi: 10.1007/s40266-024-01130-z. Online ahead of print.

ABSTRACT

BACKGROUND: Although gabapentin has been increasingly prescribed to older adults, the relation between gabapentin initiation and longer-term neurocognitive changes is not well understood. Thus, this study aimed to examine the association of gabapentin initiation with cognitive and motor function decline in older adult participants with cognitive impairment.

METHODS: A retrospective cohort study was conducted using the National Alzheimer’s Coordinating Center Uniform Data Set (2005-March 2023). Participants with cognitive impairment at the visit of gabapentin initiation (i.e., index visit) were included. Using the incidence density sampling method, up to nine non-users were randomly selected for each initiator. Cognitive decline over 1 year was defined as any increase in Clinical Dementia Rating global score (CDR^®GLOB) or a 1-point increase in CDR^® sum of boxes (CDR^®SB). Functional status decline over 1 year was defined as at least a 3-point increase in the Functional Activities Questionnaire (FAQ) sum or a 0.3-point increase of mean of FAQ. Motoric decline over 1 year was defined as new clinician reports of gait disorder, falls, and slowness. To mitigate confounding and selection bias, joint stabilized inverse probability of treatment weights and censoring weights were used. Analyses compared index with index + 1 and index + 2 visits.

RESULTS: For the study of cognitive and functional status decline, we included 505 initiators (mean age [SD] 78.8 [7.4]; male = 45%) and 4545 non-users (79.2 [7.6]; 50.1%). For the study of motor decline, we included 353 initiators (78.3 [7.2]; 42.8%) and 3177 non-users (78.5 [7.4]; 48.1%). Gabapentin initiation was not statistically associated with decline on CDR^®GLOB, CDR^®SB, FAQ sum, or mean FAQ at the index + 1 or index + 2 visits. However, gabapentin initiation was significantly associated with increased odds of new falls at the index + 2 visit (odds ratio [95% confidence interval] 2.5 [1.3, 4.6]).

CONCLUSIONS: Over 1 or 2 years of follow-up, gabapentin initiation was not associated with decline in cognitive or functional status but was associated with increased odds of falling among research participants with cognitive impairment.

PMID:38980643 | DOI:10.1007/s40266-024-01130-z

J Imaging Inform Med. 2024 Jul 9. doi: 10.1007/s10278-024-01191-x. Online ahead of print.

ABSTRACT

Deep neural networks have shown excellent performance in medical image segmentation, especially for cardiac images. Transformer-based models, though having advantages over convolutional neural networks due to the ability of long-range dependence learning, still have shortcomings such as having a large number of parameters and and high computational cost. Additionally, for better results, they are often pretrained on a larger data, thus requiring large memory size and increasing resource expenses. In this study, we propose a new lightweight but efficient model, namely CapNet, based on convolutions and mixing modules for cardiac segmentation from magnetic resonance images (MRI) that can be trained from scratch with a small amount of parameters. To handle varying sizes and shapes which often occur in cardiac systolic and diastolic phases, we propose attention modules for pooling, spatial, and channel information. We also propose a novel loss called the Tversky Shape Power Distance function based on the shape dissimilarity between labels and predictions that shows promising performances compared to other losses. Experiments on three public datasets including ACDC benchmark, Sunnybrook data, and MS-CMR challenge are conducted and compared with other state of the arts (SOTA). For binary segmentation, the proposed CapNet obtained the Dice similarity coefficient (DSC) of 94% and 95.93% for respectively the Endocardium and Epicardium regions with Sunnybrook dataset, 94.49% for Endocardium, and 96.82% for Epicardium with the ACDC data. Regarding the multiclass case, the average DSC by CapNet is 93.05% for the ACDC data; and the DSC scores for the MS-CMR are 94.59%, 92.22%, and 93.99% for respectively the bSSFP, T2-SPAIR, and LGE sequences of the MS-CMR. Moreover, the statistical significance analysis tests with p-value $<0.05$ compared with transformer-based methods and some CNN-based approaches demonstrated that the CapNet, though having fewer training parameters, is statistically significant. The promising evaluation metrics show comparative results in both Dice and IoU indices compared to SOTA CNN-based and Transformer-based architectures.

PMID:38980628 | DOI:10.1007/s10278-024-01191-x

J Imaging Inform Med. 2024 Jul 9. doi: 10.1007/s10278-024-01188-6. Online ahead of print.

ABSTRACT

Reliable and trustworthy artificial intelligence (AI), particularly in high-stake medical diagnoses, necessitates effective uncertainty quantification (UQ). Existing UQ methods using model ensembles often introduce invalid variability or computational complexity, rendering them impractical and ineffective in clinical workflow. We propose a UQ approach based on deep neuroevolution (DNE), a data-efficient optimization strategy. Our goal is to replicate trends observed in expert-based UQ. We focused on language lateralization maps from resting-state functional MRI (rs-fMRI). Fifty rs-fMRI maps were divided into training/testing (30:20) sets, representing two labels: “left-dominant” and “co-dominant.” DNE facilitated acquiring an ensemble of 100 models with high training and testing set accuracy. Model uncertainty was derived from distribution entropies over the 100 model predictions. Expert reviewers provided user-based uncertainties for comparison. Model (epistemic) and user-based (aleatoric) uncertainties were consistent in the independently and identically distributed (IID) testing set, mainly indicating low uncertainty. In a mostly out-of-distribution (OOD) holdout set, both model and user-based entropies correlated but displayed a bimodal distribution, with one peak representing low and another high uncertainty. We also found a statistically significant positive correlation between epistemic and aleatoric uncertainties. DNE-based UQ effectively mirrored user-based uncertainties, particularly highlighting increased uncertainty in OOD images. We conclude that DNE-based UQ correlates with expert assessments, making it reliable for our use case and potentially for other radiology applications.

PMID:38980624 | DOI:10.1007/s10278-024-01188-6

MMW Fortschr Med. 2024 Jul;166(Suppl 2):14-17. doi: 10.1007/s15006-024-3920-5.

NO ABSTRACT

PMID:38980609 | DOI:10.1007/s15006-024-3920-5

J Cross Cult Gerontol. 2024 Jul 9. doi: 10.1007/s10823-024-09511-y. Online ahead of print.

ABSTRACT

Life expectancy (LE) is a health indicator of a population’s health and well-being. Modeling the trajectory of LE aligns with the objectives of Indonesia’s Vision 2045 and Oman’s Vision 2040. This study examines the influence of health status-resources (HSR), macroeconomic (ME), and sociodemographic (SD) factors on LE in Indonesia and Oman. These two nations navigate the challenges of the middle-income trap in the Organization of Islamic Cooperation. This study adopted a national-scale population-based approach that focuses on retrospective observations. We used partial least square structural equation models with World Bank data from 1980 to 2020 to analyze the relationship between the mentioned factors and the LE of Oman and Indonesia. For Indonesia’s model, the results showed that ME has a total effect of β = 0.737 (p < 0.05) on LE, SD has a total effect of β = 0.675 (p < 0.05) on LE, and HSR has a total effect of β = 0.823 (p < 0.05) on LE. In Oman’s model, ME has a total effect of β = 0.848 (p < 0.05) on LE, SD has a total effect of β = 0.755 (p < 0.05) on LE, and HSR has a total effect of β = 0.335 (p < 0.05) on LE. The findings underscore the need for policies that meld health and societal perspectives to improve public health in both nations. A shift in public health interventions and perceptions towards socioeconomic well-being and societal issues is pivotal for advancing LE growth, potentially steering these countries from the middle-income trap.

PMID:38980597 | DOI:10.1007/s10823-024-09511-y

Exp Appl Acarol. 2024 Jul 9. doi: 10.1007/s10493-024-00942-3. Online ahead of print.

ABSTRACT

Rhipicephalus microplus poses a significant economic threat due to its role in transmitting Babesia bigemina, B. bovis and Anaplasma marginale. Chemical control methods, commonly employed, encounter challenges like resistance, high costs, and environmental concerns. Emerging as an alternative, entomopathogenic fungi, particularly Beauveria bassiana, present a promising avenue for biological control. Molecular identification using the internal transcribed spacer (ITS1-5.8-ITS4) region ensures accurate species identification. This study investigated two B. bassiana strains, assessing their molecular characterization, impact on R. microplus mortality, and reproductive effects on adult females. The Reproductive Aptitude Index (RAI) is employed to evaluate tick egg viability post-treatment, providing insights into the potential of these fungi for tick control. Results indicate the BbLn2021-1 strain causes 96% mortality, and BbSf2021-1 induces 100% mortality. The commercial strain exhibited 28% mortality, while the control treatment showed 12%. Statistical analysis reveals a significant difference between treatments (p < 0.01). The Reproductive Efficiency Index (REI) underscores BbSf2021-1is superiority, yielding lower egg weights than other treatments. Regarding the RAI, BbLn2021-1 and BbSf2021-1 show no significant differences but differ significantly from the commercial and control (p < 0.01). These findings suggest that strains isolated and characterized from the natural environment could have potential applications in field trials, serving as a biocontrol alternative for R. microplus ticks.

PMID:38980594 | DOI:10.1007/s10493-024-00942-3

Ann Surg Oncol. 2024 Jul 9. doi: 10.1245/s10434-024-15758-z. Online ahead of print.

ABSTRACT

BACKGROUND: Head and neck carcinoma of unknown primary (CUP) represents a challenging diagnostic process when standard work-up fails to identify the primary tumour site. The aim of this systematic review and meta-analysis was to evaluate the diagnostic utility and complication profile of transoral robotic surgery (TORS) tongue base mucosectomy (TBM) in the management of CUP.

PATIENTS AND METHODS: An electronic database search was performed in the EMBASE, MEDLINE, PubMed and Cochrane databases. A meta-analysis of proportions was performed to obtain an estimate of the overall proportion for the detection and complication rates.

RESULTS: Nine studies representing 235 patients with CUP who had TORS TBM were included in the final analysis. The overall pooled tumour detection rate was 66.2% [95% confidence interval (CI) 56.1-75.8]. The incidence of tumour detection in human papilloma virus (HPV)-positive cases (81.5%, 95% CI 60.8-96.4) was significantly higher than HPV-negative cases (2.3%, 95% CI 0.00-45.7). Weighted overall complication rate was 11.4% (95% CI 7.2-16.2). The majority were grade I or II (80%) according to the Clavien-Dindo classification.

CONCLUSIONS: This meta-analysis suggests TORS to be safe and effective in localising the primary tumour site in patients with CUP. While the current data supports the use of TORS in patients who are HPV positive, larger numbers of HPV-negative cases are required to determine the true diagnostic effect with TORS before any valid conclusions can be inferred in this particular subgroup. Further research should focus on high quality prospective trials with stringent methodological work-up to minimise heterogeneity and allow for more accurate statistical analysis.

PMID:38980583 | DOI:10.1245/s10434-024-15758-z

Bull Math Biol. 2024 Jul 9;86(8):104. doi: 10.1007/s11538-024-01333-w.

ABSTRACT

Atherosclerotic plaques are fatty deposits that form in the walls of major arteries and are one of the major causes of heart attacks and strokes. Macrophages are the main immune cells in plaques and macrophage dynamics influence whether plaques grow or regress. Macrophage proliferation is a key process in atherosclerosis, particularly in the development of mid-stage plaques, but very few mathematical models include proliferation. In this paper we reframe the lipid-structured model of Ford et al. (J Theor Biol 479:48-63, 2019. https://doi.org/10.1016/j.jtbi.2019.07.003 ) to account for macrophage proliferation. Proliferation is modelled as a non-local decrease in the lipid structural variable. Steady state analysis indicates that proliferation assists in reducing eventual necrotic core lipid content and spreads the lipid load of the macrophage population amongst the cells. The contribution of plaque macrophages from proliferation relative to recruitment from the bloodstream is also examined. The model suggests that a more proliferative plaque differs from an equivalent (defined as having the same lipid content and cell numbers) recruitment-dominant plaque in the way lipid is distributed amongst the macrophages. The macrophage lipid distribution of an equivalent proliferation-dominant plaque is less skewed and exhibits a local maximum near the endogenous lipid content.

PMID:38980556 | DOI:10.1007/s11538-024-01333-w