Tag: statistics

Vet Ital. 2022 Dec 31;58(3). doi: 10.12834/VetIt.2342.16499.1.

ABSTRACT

Bovine ephemeral fever (BEF) virus (BEFV) is an arthropod borne virus that causes bovine ephemeral fever or three‑day sickness in cattle and buffaloes. This is the first report on seroprevalence of BEF in cattle and buffaloes in Gujarat, India. Total of 92 animals, 78 cattle and 14 buffaloes from three regions (districts) of Gujarat state of India, were screened for the presence of anti‑BEF antibodies. A total of 27 out of 92 animals were found positive and overall seroprevalence detected was 29.34% (95% CI 20.0‑38.6%). A total of 19 out of 78 cattle and 8 out of 14 buffalo’s samples were found positive BEFV antibodies. Species‑wise seroprevalence in cattle and buffaloes was 24.35% (95% CI 14.8‑33.8%) and 57.1% (95% CI 31.2‑83.0%), respectively. There was a statistically significant (p < 0.05) species effect based on the seroprevalence. In cattle, location‑wise seroprevalence was observed to be 26.82% (95% CI 13.2‑40.3%) and 21.62% (95% CI 8.3‑34.8%) in Navsari and Banaskantha districts, respectively. The effect of location is not statistically significant (p < 0.05). Cytopathic effect of Vero cells was characterized by rounding, granulation of the cytoplasm within 48‑72 hrs of post infection. This was the first report demonstrating the presence of BEFV in Gujarat state.

PMID:37219833 | DOI:10.12834/VetIt.2342.16499.1

Vet Ital. 2022 Dec 31;58(3). doi: 10.12834/VetIt.2596.16323.2.

ABSTRACT

West Nile virus (WNV) is an emerging arbovirus which affects humans and horses. A cross sectional study was carried out on 106 local horses in Kaduna and 78 domestic chickens in Federal Capital Territory. A total of 184 sera were screened for West Nile virus anti Pr‑E antibodies using ID Screen® West Nile competitive enzyme linked immunosorbent assay. For the horses, an overall prevalence of 92.45% was recorded while domestic chickens had a preponderance of 7.69%. From our study, there was a statistical significant difference between the occurrences of WNV in stallions than mares with p < 0.05. Comparing the occurrence of West Nile virus between species, horses were more likely to be infected by West Nile virus than domestic chickens (OR 147). This is the first seroprevalence study investigating West Nile virus infection in domestic chickens in Nigeria. The presence of the antibodies indicates the widespread circulation and the potential risk of infection in humans and animals. In order to understand the epidemiology of West Nile virus infection in Nigeria, there is need for surveillance to be implemented in human and animal sectors.

PMID:37219829 | DOI:10.12834/VetIt.2596.16323.2

Methods Mol Biol. 2023 May 24. doi: 10.1007/7651_2023_489. Online ahead of print.

ABSTRACT

There is a growing need for single-cell level data analysis in correlation with the advancements of microscopy techniques. Morphology-based statistics gathered from individual cells are essential for detection and quantification of even subtle changes within the complex tissues, yet the information available from high-resolution imaging is oftentimes sub-optimally utilized due to the lack of proper computational analysis software. Here we present ShapeMetrics, a 3D cell segmentation pipeline that we have developed to identify, analyze, and quantify single cells in an image. This MATLAB-based script enables users to extract morphological parameters, such as ellipticity, longest axis, cell elongation, or the ratio between cell volume and surface area. We have specifically invested in creating a user-friendly pipeline, aimed for biologists with a limited computational background. Our pipeline is presented with detailed stepwise instructions, starting from the establishment of machine learning-based prediction files of immuno-labeled cell membranes followed by the application of 3D cell segmentation and parameter extraction script, leading to the morphometric analysis and spatial visualization of cell clusters defined by their morphometric features.

PMID:37219813 | DOI:10.1007/7651_2023_489

Int J Comput Assist Radiol Surg. 2023 May 23. doi: 10.1007/s11548-023-02929-8. Online ahead of print.

ABSTRACT

INTRODUCTION: The use of MRI scans for pre-operative surgical planning of forearm osteotomies provides additional information of joint cartilage and soft tissue structures and reduces radiation exposure in comparison with the use of CT scans. In this study, we investigated whether using 3D information obtained from MRI with and without cartilage information leads to a different outcome of pre-operative planning.

METHODS: Bilateral CT and MRI scans of the forearms of 10 adolescent and young adult patients with a unilateral bone deformation were acquired in a prospective study. The bones were segmented from CT and MRI, and cartilage only from MRI. The deformed bones were virtually reconstructed, by registering the joint ends to the healthy contralateral side. An optimal osteotomy plane was determined that minimized the distance between the resulting fragments. This process was performed in threefold: using the CT and MRI bone segmentations, and the MRI cartilage segmentations.

RESULTS: Comparison of bone segmentation from MRI and CT scan resulted in a 0.95 ± 0.02 Dice Similarity Coefficient and 0.42 ± 0.07 mm Mean Absolute Surface Distance. All realignment parameters showed excellent reliability across the different segmentations. However, the mean differences in translational realignment between CT and MRI bone segmentations (4.5 ± 2.1 mm) and between MRI bone and MRI bone and cartilage segmentations (2.8 ± 2.1 mm) were shown to be clinically and statistically significant. A significant positive correlation was found between the translational realignment and the relative amount of cartilage.

CONCLUSION: This study indicates that although bone realignment remained largely similar when using MRI with and without cartilage information compared to using CT, the small differences in segmentation could induce statistically and clinically significant differences in the osteotomy planning. We also showed that endochondral cartilage might be a non-negligible factor when planning osteotomies for young patients.

PMID:37219804 | DOI:10.1007/s11548-023-02929-8

Drugs Real World Outcomes. 2023 May 23. doi: 10.1007/s40801-023-00370-6. Online ahead of print.

ABSTRACT

BACKGROUND: Patients with overactive bladder (OAB) experience sudden, intense urges to urinate, which may include urge urinary incontinence and nocturia. Pharmacotherapy includes β₃-adrenergic receptor agonists such as mirabegron; however, mirabegron contains a label warning for cytochrome P450 (CYP) 2D6 inhibition, making coadministration with CYP2D6 substrates require monitoring and dose adjustment to avoid unintended increases in substrate concentration.

OBJECTIVE: To understand the codispensing patterns of mirabegron among patients using ten predefined CYP2D6 substrates with and before mirabegron dispensing.

METHODS: This retrospective claims database analysis used the IQVIA PharMetrics^® Plus Database to assess codispensing of mirabegron with ten predefined CYP2D6 substrate groups identified on the basis of medications most frequently prescribed in the United States, those with high susceptibility to CYP2D6 inhibition, and those with evidence for exposure-related toxicity. Patients had to be ≥ 18 years old before initiation of the CYP2D6 substrate episode that overlapped with mirabegron. The cohort entry period was November 2012 to September 2019, and the overall study period was 1 January 2011 to 30 September 2019. Comparisons of patient profiles at dispensing were made between time periods with and before mirabegron use in the same patient. Descriptive statistics were used to assess the number of exposure episodes, total duration of exposure, and median duration of exposure of CYP2D6 substrate dispensing with and before mirabegron.

RESULTS: CYP2D6 substrate exposure periods totaling ≥ 9000 person-months were available before overlapping exposure to mirabegron for all ten CYP2D6 substrate cohorts. Median codispensing duration for chronically administered CYP2D6 substrates was 62 (interquartile range [IQR] 91) days for citalopram/escitalopram, 71 (105) days for duloxetine/venlafaxine, and 75 (115) days for metoprolol/carvedilol; median codispensing duration for acutely administered CYP2D6 substrates was 15 (33) days for tramadol and 9 (18) days for hydrocodone.

CONCLUSIONS: In this claims database analysis, the dispensing patterns of CYP2D6 substrates with mirabegron displayed frequent overlapping of exposure. Thus, a need exists to better understand the outcomes experienced by patients with OAB who are at increased risk for drug‒drug interactions when taking multiple CYP2D6 substrates concurrently with a CYP2D6 inhibitor.

PMID:37219800 | DOI:10.1007/s40801-023-00370-6

J Robot Surg. 2023 May 23. doi: 10.1007/s11701-023-01625-8. Online ahead of print.

ABSTRACT

While laparoscopic simulation-based training is a well-established component of general surgery training, no such requirement or standardized curriculum exists for robotic surgery. Furthermore, there is a lack of high-fidelity electrocautery simulation training exercises in the literature. Using Messick’s validity framework, we sought to determine the content, response process, internal content and construct validity of a novel inanimate tissue model that utilizes electrocautery for potential incorporation in such curricula. A multi-institutional, prospective study involving medical students (MS) and general surgery residents (PGY1-3) was conducted. Participants performed an exercise using a biotissue bowel model on the da Vinci Xi robotic console during which they created an enterotomy using electrocautery, followed by approximation with interrupted sutures. Participant performance was recorded and then scored by crowd-sourced assessors of technical skill, along with three of the authors. Construct validity was determined via difference in Global Evaluative Assessment of Robotic Skills (GEARS) score, time to completion, and total number of errors between the two cohorts. Upon completion of the exercise, participants were surveyed on their perception of the exercise and its impact on their robotic training to determine content validity. 31 participants were enrolled and separated into two cohorts: MS + PGY1 vs. PGY2-3. Time spent on the robotic trainer (0.8 vs. 8.13 h, p = 0.002), number of bedside robotic assists (5.7 vs. 14.8, p < 0.001), and number of robotic cases as primary surgeon (0.3 vs. 13.1, p < 0.001) were statistically significant between the two groups. Differences in GEARS scores (18.5 vs. 19.9, p = 0.001), time to completion (26.1 vs. 14.4 min, p < 0.001), and total errors (21.5 vs. 11.9, p = 0.018) between the groups were statistically significant as well. Of the 23 participants that completed the post-exercise survey, 87% and 91.3% reported improvement in robotic surgical ability and confidence, respectively. On a 10-point Likert scale, respondents rated the realism of the exercise 7.5, educational benefit 9.1, and effectiveness in teaching robotic skills 8.7. Controlling for the upfront investment of certain training materials, each exercise iteration cost ~ $30. This study confirmed the content, response process, internal structure and construct validity of a novel, high-fidelity and cost-effective inanimate tissue exercise which successfully incorporates electrocautery. Consideration should be given to its addition to robotic surgery training programs.

PMID:37219784 | DOI:10.1007/s11701-023-01625-8

Environ Sci Pollut Res Int. 2023 May 23. doi: 10.1007/s11356-023-27606-w. Online ahead of print.

ABSTRACT

Streams are pristine natural life-thriving water sources for people living in the mountainous proximity of NE India, where water scarcity is a common occurrence in most villages and towns. In the last few decades, factors like coal mining had drastically reduced the usability of stream water in the region; as such, an attempt has been made to assess the spatiotemporal variation of stream water chemistry affected by acid mine drainage (AMD) at Jaintia Hills, Meghalaya. The water variables were subjected to a multivariate statistical technique of principal component analysis (PCA) to understand their condition at each sampling point while comprehensive pollution index (CPI) and water quality index (WQI) was incorporated to assess the quality status. Maximum WQI was recorded in S4 (541.14) during summer, while minimum value was estimated in winter at S1 (14.65). Throughout the seasons, the WQI revealed “Good” quality in S1 (unimpacted stream), while the impacted streams (S2, S3, and S4) exhibited a “Very poor” to “Water unsuitable for drinking” status. Similarly, in S1, the CPI showed a ranged value of 0.20 to 0.37, presenting a water quality status of “Clean to Sub-Clean,” whereas, CPI of the impacted streams indicated “Severely polluted” status. In addition, PCA bi-plot presented higher affinity of free CO₂, Pb, SO₄^2-, EC, Fe, and Zn in AMD-impacted streams than in unimpacted streams. The result demonstrates the environmental issues induced by coal mine waste and in particular, stream water being severely affected by AMD in mining areas of Jaintia Hills. Thus, measures to stabilized the mine repercussions and cumulative effects on the water bodies need to be formulated by the government, as stream water will remain the primary water source for the tribal communities in this region.

PMID:37219781 | DOI:10.1007/s11356-023-27606-w

Environ Sci Pollut Res Int. 2023 May 23. doi: 10.1007/s11356-023-27659-x. Online ahead of print.

ABSTRACT

Monitoring air contaminants has become essential to exposure science, toxicology, and public health research. However, missing values are common while monitoring air contaminants, especially in resource-constrained settings such as power cuts, calibration, and sensor failure. In contaminants monitoring, evaluating existing imputation techniques for dealing with recurrent periods of missing and unobserved data are limited. The proposed study aims to perform a statistical evaluation of six univariate and four multivariate time series imputation methods. The univariate methods are based on inter-time correlation characteristics, and the multivariate approach considers muti-site to impute missing data. The present study retrieved data from 38 ground-based monitoring stations for particulate pollutants in Delhi for 4 years. For univariate methods, missing values were simulated under 0-20% (5%, 10%, 15%, and 20%), and high 40%, 60%, and 80% missing levels having long gaps. Before evaluating multivariate methods, input data underwent pre-processing steps: selecting the target station to be imputed, choosing covariates based on the spatial correlation between multiple sites, and framing a combination of target and neighbouring stations (covariates) under 20%, 40%, 60%, and 80%. Next, the particulate pollutants data of 1480 days is provided as input to four multivariate techniques. Finally, the performance of each algorithm was evaluated using error metrics. The results show that the long interval time series data and spatial correlation of multiple stations significantly improved outcomes for univariate and multivariate time series methods. The univariate Kalman_arima performs well for long-missing gaps and all missing levels (except for 60-80%), yielding low error and high R² and d values. In contrast, multivariate MIPCA performed better than Kalman-arima for all target stations with the highest missing percentage.

PMID:37219777 | DOI:10.1007/s11356-023-27659-x

J Racial Ethn Health Disparities. 2023 May 23. doi: 10.1007/s40615-023-01634-1. Online ahead of print.

ABSTRACT

BACKGROUND: This study examined racial/ethnic differences in comorbidity burden and health-related quality of life (HRQOL) among older women before breast cancer diagnosis.

METHODS: From Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) linked data resource, 2513 women diagnosed with breast cancer at ≥ 65 years between 1998 and 2012 were identified and grouped based on comorbidity burden using latent class analysis. Pre-diagnosis HRQOL was measured using SF-36/VR-12 and summarized to physical (PCS) and mental component summary (MCS) scores. The adjusted least-square means and 95% confidence intervals were obtained according to comorbidity burden and race/ethnicity. The interactions were examined with 2-way ANOVA.

RESULTS: The latent class analysis revealed four comorbid burden classes, with Class 1 being the most healthy and Class 4 being the least healthy. African American (AA) and Hispanic women were more likely to be in Class 4 than non-Hispanic white (NHW) women (18.6%, 14.8%, and 8.3%, respectively). The mean PCS was 39.3 and differed by comorbidity burden and race/ethnicity (P_interaction < 0.001). There were no racial/ethnic differences in Classes 1 and 2, while NHW women reported significantly lower PCS scores than AA women in Classes 3 and 4. The mean MCS was 51.4 and differed by comorbidity burden and race/ethnicity (P_interaction < 0.001). There was no racial/ethnic difference in Class 3; however, AA women reported lower MCS scores than Asian/Pacific Islander women in Class 1, and AA and Hispanic women reported lower MCS scores than NHW women in Classes 2 and 4.

CONCLUSION: Comorbidity burden negatively affected HRQOL but differentially for racial/ethnic groups. As the comorbidity burden increases, NHW women are more concerned with physical HRQOL, while AA and Hispanic women are more concerned with mental HRQOL.

PMID:37219735 | DOI:10.1007/s40615-023-01634-1

Qual Life Res. 2023 May 23. doi: 10.1007/s11136-023-03435-9. Online ahead of print.

ABSTRACT

PURPOSE: This unselected, population-based cohort study aimed to determine the level of health-related quality of life (HRQoL) in patients with Crohn’s disease (CD) and ulcerative colitis (UC) at the time of diagnosis compared with a reference population and identify the demographic factors, psychosocial measures, and disease activity markers associated with HRQoL.

METHODS: Adult patients newly diagnosed with CD or UC were prospectively enrolled. HRQoL was measured using the Short Form 36 (SF-36) and Norwegian Inflammatory Bowel Disease Questionnaires. Clinical significance was assessed using Cohen’s d effect size and further compared with a Norwegian reference population. Associations between HRQoL and symptom scores, demographic factors, psychosocial measures, and disease activity markers were analyzed.

RESULTS: Compared with the Norwegian reference population, patients with CD and UC reported significantly lower scores in all SF-36 dimensions, except for physical functioning. Cohen’s d effect sizes for men and women in all SF-36 dimensions were at least moderate, except for bodily pain and emotional role for men with UC and physical functioning for both sexes and diagnoses. In the multivariate regression analysis, depression subscale scores ≥ 8 on the Hospital Anxiety and Depression Scale, substantial fatigue, and high symptom scores were associated with reduced HRQoL.

CONCLUSION: Patients newly diagnosed with CD and UC reported statistically and clinically significantly lower scores in seven of the eight SF-36 dimensions than the reference population. Symptoms of depression, fatigue, and elevated symptom scores were associated with poorer HRQoL.

PMID:37219727 | DOI:10.1007/s11136-023-03435-9