Category: Statistics

Anim Biotechnol. 2022 Jul 23:1-9. doi: 10.1080/10495398.2022.2101117. Online ahead of print.

ABSTRACT

Selection of Murrah buffaloes based on production, reproduction, and health traits play an important role in sustainable genetic improvement. With the aim to construct an index comprising of production, reproduction and health traits of Murrah buffaloes, the production and reproduction data during a 50-year span (1971-2020) and for health traits data of 27 years (1994-2020) were analyzed. Various three, four, five, and six trait combinations of production, reproduction, and health traits were explored for construction of performance indices. The income and expenditure method was used to calculate relative economic values (REV) for traits under consideration. A total of 37 performance indices were constructed using a multi-trait combination of production, reproduction, and health traits. Out of 37 indices, the (ADMY-PY-DO-AFC-FF) based index was identified as the best, with 78%, 2%, and 20% weightage given to production, reproduction, and female fertility, respectively. Furthermore, when REVs of traits were increased by 25% and 50%, there was no change observed in the relative importance of traits in the best index, indicating that the index was robust to substantial increases in economic values. Therefore, it is recommended that the above constructed composite selection index can be employed in selection of female buffaloes to achieve sustainable genetic gain.

PMID:35875885 | DOI:10.1080/10495398.2022.2101117

Respirology. 2022 Jul 25. doi: 10.1111/resp.14333. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVE: Prediction of disease course in patients with progressive pulmonary fibrosis remains challenging. The purpose of this study was to assess the prognostic value of lung fibrosis extent quantified at computed tomography (CT) using data-driven texture analysis (DTA) in a large cohort of well-characterized patients with idiopathic pulmonary fibrosis (IPF) enrolled in a national registry.

METHODS: This retrospective analysis included participants in the Australian IPF Registry with available CT between 2007 and 2016. CT scans were analysed using the DTA method to quantify the extent of lung fibrosis. Demographics, longitudinal pulmonary function and quantitative CT metrics were compared using descriptive statistics. Linear mixed models, and Cox analyses adjusted for age, gender, BMI, smoking history and treatment with anti-fibrotics were performed to assess the relationships between baseline DTA, pulmonary function metrics and outcomes.

RESULTS: CT scans of 393 participants were analysed, 221 of which had available pulmonary function testing obtained within 90 days of CT. Linear mixed-effect modelling showed that baseline DTA score was significantly associated with annual rate of decline in forced vital capacity and diffusing capacity of carbon monoxide. In multivariable Cox proportional hazard models, greater extent of lung fibrosis was associated with poorer transplant-free survival (hazard ratio [HR] 1.20, p < 0.0001) and progression-free survival (HR 1.14, p < 0.0001).

CONCLUSION: In a multi-centre observational registry of patients with IPF, the extent of fibrotic abnormality on baseline CT quantified using DTA is associated with outcomes independent of pulmonary function.

PMID:35875881 | DOI:10.1111/resp.14333

Cardiovasc Res. 2022 Jul 25:cvac116. doi: 10.1093/cvr/cvac116. Online ahead of print.

ABSTRACT

AIMS: Elevated blood pressure (BP) is a prevalent modifiable risk factor for cardiovascular diseases and contributes to cognitive decline in late life. Despite the fact that functional changes may precede irreversible structural damage and emerge in an ongoing manner, studies have been predominantly informed by brain structure and group-level inferences. Here, we aim to delineate neurobiological correlates of BP at an individual level using machine learning and functional connectivity.

METHODS AND RESULTS: Based on whole-brain functional connectivity from the UK Biobank, we built a machine learning model to identify neural representations for individuals’ past (∼8.9 years before scanning, N = 35,882), current (N = 31,367), and future (∼2.4 years follow-up, N = 3,138) BP levels within a repeated cross-validation framework. We examined the impact of multiple potential covariates, as well as assessed these models’ generalizability across various contexts.The predictive models achieved significant correlations between predicted and actual systolic/diastolic BP and pulse pressure while controlling for multiple confounders. Predictions for participants not on antihypertensive medication were more accurate than for currently medicated patients. Moreover, the models demonstrated robust generalizability across contexts in terms of ethnicities, imaging centers, medication status, participant visits, gender, age, and BMI. The identified connectivity patterns primarily involved the cerebellum, prefrontal, anterior insula, anterior cingulate cortex, supramarginal gyrus, and precuneus, which are key regions of the central autonomic network, and involved in cognition processing and susceptible to neurodegeneration in Alzheimer’s disease. Results also showed more involvement of default mode and frontoparietal networks in predicting future BP levels and in medicated participants.

CONCLUSION: This study, based on the largest neuroimaging sample currently available and using machine learning, identifies brain signatures underlying BP, providing evidence for meaningful BP-associated neural representations in connectivity profiles.

PMID:35875865 | DOI:10.1093/cvr/cvac116

Clin Respir J. 2022 Jul 24. doi: 10.1111/crj.13526. Online ahead of print.

ABSTRACT

INTRODUCTION: Community-acquired pneumonia (CAP) is the major cause of infection-related mortality worldwide. Patients with CAP frequently present with admission hyperglycemia.

OBJECTIVES: The aim of this study was to evaluate the association between admission blood glucose (ABG) level and clinical outcomes in elderly CAP patients (≥80 years of age) with or without diabetes.

METHODS: In this single center retrospective study, 290 elderly patients diagnosed with CAP were included. Demographic and clinical information were collected and compared. The associations between admission blood glucose level and the 30-day mortality as well as intensive care unit (ICU) admission and invasive mechanical ventilation (IMV) in elderly CAP patients with or without diabetes were assessed.

RESULTS: Of the 290 eligible patients with CAP, 159 (66.5%) patients were male, and 64 (22.1%) had a known history of diabetes at hospital admission. After adjusting for age and sex, the logistic regression analysis had identified several risk factors that might be associated with clinical outcomes in elderly patients with CAP. Multivariable logistic regression analysis revealed that admission glucose level > 11.1 mmol/L was significant associated with ICU admission, IMV, and 30-day mortality both in non-diabetic and diabetic patients. Furthermore, Kaplan-Meier analysis indicated that patients with higher admission glucose level were correlated statistically significantly with 30-day mortality in patients with CAP (P < 0.001).

CONCLUSION: Admission blood glucose is correlated with 30-day hospital mortality, ICU admission, and IMV of CAP in elderly patients with and without diabetes. Specially, admission glucose > 11.1 mmol/L was a significant risk factor for 30-day hospital mortality.

PMID:35871756 | DOI:10.1111/crj.13526

Sichuan Da Xue Xue Bao Yi Xue Ban. 2022 Jul;53(4):676-681. doi: 10.12182/20220760105.

ABSTRACT

OBJECTIVE: To explore the application value of the “three-low” technique (low radiation dose, low contrast agent dosage and low contrast agent flow rate) combined with artificial intelligence iterative reconstruction (AIIR) in aortic CT angiography (CTA).

METHODS: A total of 33 patients who underwent aortic CTA were prospectively enrolled. Based on the time of their follow-up examinations, the imaging data were divided into Group A and Group B, with Group A being the control group (100 kV, 0.8 mL/kg, 5 mL/s) and Group B being the “three-low” technique group (70 kV, 0.5 mL/kg, 3 mL/s). In group A, the images were reconstructed by Karl iterative algorithm. Group B was divided into B1 and B2 subgroups, with their images being reconstructed by Karl iterative algorithm and AIIR, respectively. The CT and SD values of the ascending aorta, descending aorta, abdominal aorta, left common iliac artery and right common iliac artery were measured, and the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. The subjective scoring of image quality was performed. The radiation dose parameters were documented.

RESULTS: Differences in the CT value, SD value, SNR and CNR of the three groups were statistically significant ( P<0.001). The CT value, SNR and CNR of group B2 were significantly higher than those of group B1, while the SD value of group B2 was significantly lower than that of group B1 ( P<0.017). There was no significant difference between the CT values of group A and those of group B2 ( P>0.017). The SD values, SNR and CNR in group B2 were better than those in group A ( P>0.017). There was significant difference in the subjective evaluation of image quality among the three groups ( P<0.05), but there was no significant difference between group A and group B2 ( P>0.017). The radiation dose and contrast medium dosage in group B decreased 84.14% and 37.08%, respectively, compared with those of group A.

CONCLUSION: With the “three-low” technique combined with AIIR algorithm, the image quality of aortic CTA obtained is comparable to that of conventional dose scanning, while the radiation dose, contrast agent dosage and contrast agent flow rate of patients are significantly reduced.

PMID:35871740 | DOI:10.12182/20220760105

Sichuan Da Xue Xue Bao Yi Xue Ban. 2022 Jul;53(4):688-695. doi: 10.12182/20220760506.

ABSTRACT

OBJECTIVE: To investigate the distribution of pathogenic bacteria in blood samples and changes in their drug resistance in our hospital from 2016 to 2020, and to provide evidence for the diagnosis and treatment of clinical bloodstream infections.

METHODS: Bruker Corporation’s matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) was used for bacterial identification, VITEK 2 Compact was used for antimicrobial susceptibility test, some of which was done with the Kirby-Bauer method, and the data was statistically analyzed with WHONET 5.6 software.

RESULTS: A total of 8931 bacterial strains, including 4502 (50.4%) Gram-positive bacteria and 4429 (49.6%) Gram-negative bacteria, were isolated from the blood samples between 2016 and 2020. Among the isolated bacteria of the order Enterobacterales, Escherichia coli (1773, 19.9%) ranked first, followed by Klebsiella pneumoniae (1067, 11.9%). The non-fermenting bacteria identified were predominantly Acinetobacter baumannii (293, 3.3%) and Pseudomonas aeruginosa (238, 2.7%). The top three Staphylococcus species were Staphylococcus epidermidis (970 strains, 10.9%), Staphylococcus hominis (713, 8.0%) and Staphylococcus aureus (541, 6.1%). Escherichia coli showed high in vitro susceptibility to cefoperazone/sulbactam, amikacin, polymyxin B, tigecycline, and carbapenems, and the sensitivity rate was consistently over 90%. The resistance rate to imipenem showed a trend of slow growth, and the resistance rate of meropenem was 2.2% to 3.4%. Klebsiella pneumoniae showed higher in vitro resistance rate to common antibiotics than that of Escherichia coli, with only the sensitivity rates to tigecycline and polymyxin B being higher than 90%, and the resistance rate to imipenem and meropenem increasing year by year. The resistance rate of Pseudomonas aeruginosa to imipenem decreased since 2017 (from 25.6% to18.6%), and the resistance rate of Acinetobacter baumanniito imipenem and meropenem were 73.7%-91.3% and 73.0%-91.3%. Staphylococcus resistant to vancomycin or linezolid was not found. Enterococci showed rather low resistance to vancomycin and linezolid.

CONCLUSION: The distribution of common species of pathogenic bacteria in clinical blood samples in our hospital did not show significant changes, but the problem of multi-drug resistant bacteria is becoming increasingly more serious, especially so for carbapenem-resistant Klebsiella pneumoniae.

PMID:35871742 | DOI:10.12182/20220760506

Sichuan Da Xue Xue Bao Yi Xue Ban. 2022 Jul;53(4):663-669. doi: 10.12182/20220760104.

ABSTRACT

OBJECTIVE: To analyze the supply and demand adaptation of nursery care services for children under 3 in Sichuan Province and to provide strategic suggestions for optimizing nursery care services in Sichuan Province.

METHODS: Data on the supply and demand of nursery school services in all 21 cities (prefectures) of Sichuan Province were collected with questionnaires for nursery care institutions and family needs questionnaires. Applying the theory of supply and demand adaptability, we analyzed the adaptability of nursery care services in Sichuan Province in four dimensions, including relevance, adaptability, accessibility and quality.

RESULTS: A total of 6883 valid institutional questionnaires and 41081 valid family questionnaires were collected. The analysis of the adaptability of supply and demand showed that there was insufficient adaptability in all four dimensions of relevance, adaptability, accessibility, and quality of nursery care services for children under 3 in Sichuan Province, which was characterized by the coexistence of insufficient supply and underutilization of services, the mismatch between the structure of services provided and the needs of families with children under 3, low economic accessibility for the general population, and low quality of services.

CONCLUSION: There is insufficient adaptability in the supply and demand of nursery care services for children under 3 in Sichuan Province. Demand-oriented supply-side reforms should be implemented to promote the construction of a system of government-subsidized affordable nursery care services, reinforced support for the care of infants and toddlers for families, standardized management of infant and toddler care institutions, and the implementation of various supportive policies so as to comprehensively meet the diversified needs of infant and toddler care and promote their healthy growth.

PMID:35871738 | DOI:10.12182/20220760104

Sichuan Da Xue Xue Bao Yi Xue Ban. 2022 Jul;53(4):649-655. doi: 10.12182/20220760505.

ABSTRACT

OBJECTIVE: To investigate the prevalence of thyroid disorders, iodine nutritional status and relevant risk factors among adults in Chengdu city on the basis of two population-based surveys, one conducted between 2016 and 2017 and the other, between 2019 and 2020, and to provide references for making health-related administrative decisions.

METHODS: Two population-based sampling surveys were conducted. The first one was done between October 2016 and December 2017, using stratified cluster random sampling to select subjects from 2 urban and 2 rural communities in Chengdu. Then, between December 2019 and February 2020, sequential cluster sampling was used to select subjects from communities in the peripheral regions of Longquanyi District, Chengdu. Both surveys covered natural populations of people who were 18 or older and who met the inclusion criteria. In the first survey, questionnaires, physical examination, thyroid ultrasound, and examinations of serum thyroid biochemical markers and urine iodine were performed, while in the second survey, only questionnaire concerning thyroid disorders and physical examination were performed. Statistical analysis of the nutritional status of iodine, the prevalence of thyroid disorders, and potential risk factor was conducted.

RESULTS: A total of 1859 subjects were enrolled for the first survey and 16152 for the second. According to the results of the first survey, the median urine iodine concentration was 172.10 μg/L, and the group with adequate or more than adequate iodine accounted for more than 60% of the surveyed population. The prevalence of thyroid disorders was found to be 0.48% for overt hyperthyroidism, 0.43% for subclinical hyperthyroidism, 0.43% for Grave’s disease, 1.34% for overt hypothyroidism, 16.62% for subclinical hypothyroidism, 16.73% for positive thyroid antibody, 12.96% for TPOAb positive, 10.06% for TGAb positive, 0.81% for goiter, 14.85% for single nodule, 14.42% for multi-nodules, and 29.26% for thyroid nodules. Excess iodine is a risk factor for subclinical hypothyroidism ( OR=1.50, 95% confidence interval [ CI]: 1.07-2.10, P<0.05), and iodine deficiency is a risk factor for multiple thyroid nodules ( OR=1.45, 95% CI: 1.02-2.05, P<0.05). The total prevalence of hyperthyroidism, hypothyroidism and Hashimoto’s thyroiditis in the two surveys was 6.58% and 5.95%, respectively, showing no significant difference. The second survey lacked accurate data on thyroid nodules.

CONCLUSION: The iodine nutritional status of adults in Chengdu in recent years was appropriate. The total prevalence of hyperthyroidism, hypothyroidism and Hashimoto’s thyroiditis remained stable, while that of thyroid nodule increased in recent years. We should continue with the implementation of the universal salt iodization policy and reinforce efforts in monitoring. Furthermore, we should make an active effort to look into the etiology of thyroid nodules.

PMID:35871736 | DOI:10.12182/20220760505

Ophthalmol Ther. 2022 Jul 24. doi: 10.1007/s40123-022-00545-4. Online ahead of print.

ABSTRACT

INTRODUCTION: The Polish National AMD Therapeutic Program offered us a unique opportunity to determine the need for treatment of neovascular age-related macular degeneration (nAMD).

METHODS: A search, extraction, and analysis of data from the monitoring system of the Therapeutic Program of the National Health Fund was performed. Demographic data from the Central Statistical Office were also obtained and analyzed. All national data, and from the Silesian Voivodeship specifically, from patients who had received treatment prior to January 14, 2022 (57,876 eyes) were analyzed.

RESULTS: Approximately 0.1% of the Polish population requires treatment for nAMD when the best-corrected visual acuity (BCVA) criteria exclude irreversible severe changes in the fovea (0.2-0.8 by Snellen). There were 30,771 eyes in the therapeutic program in January 2022, and 4898 (15.9%) of them were in Silesia, which contains 11.7% of the total population and 12.4% of the elderly population (65 years of age and older). However, as a result of the COVID-19 pandemic, the average number of monthly enrollments in the therapeutic program decreased from 717 in the first quarter of 2020 to 505 in the second quarter (with a low of 407 in April). Moreover, in 2020, a negative balance was recorded between included and excluded patients.

CONCLUSION: The need for nAMD treatment in the elderly community (65 years of age and older) is estimated to be 0.55-0.66%.

PMID:35871711 | DOI:10.1007/s40123-022-00545-4

Anal Bioanal Chem. 2022 Jul 25. doi: 10.1007/s00216-022-04224-y. Online ahead of print.

ABSTRACT

High-resolution mass spectrometry is widely used in many research fields allowing for accurate mass determinations. In this context, it is pretty standard that high-resolution profile mode mass spectra are reduced to centroided data, which many data processing routines rely on for further evaluation. Yet information on the peak profile quality is not conserved in those approaches; i.e., describing results reliability is almost impossible. Therefore, we overcome this limitation by developing a new statistical parameter called data quality score (DQS). For the DQS calculations, we performed a very fast and robust regression analysis of the individual high-resolution peak profiles and considered error propagation to estimate the uncertainties of the regression coefficients. We successfully validated the new algorithm with the vendor-specific algorithm implemented in Proteowizard’s msConvert. Moreover, we show that the DQS is a sum parameter associated with centroid accuracy and precision. We also demonstrate the benefit of the new algorithm in nontarget screenings as the DQS prioritizes signals that are not influenced by non-resolved isobaric ions or isotopic fine structures. The algorithm is implemented in Python, R, and Julia programming languages and supports multi- and cross-platform downstream data handling.

PMID:35871703 | DOI:10.1007/s00216-022-04224-y