Nevin Manimala

J Dairy Sci. 2021 Jul 22:S0022-0302(21)00757-8. doi: 10.3168/jds.2021-20311. Online ahead of print.

ABSTRACT

Sensor technologies for mastitis detection have resulted in the collection and availability of a large amount of data. As a result, scientific publications reporting mastitis detection research have become less driven by approaches based on biological assumptions and more by data-driven modeling. Most of these approaches try to predict mastitis events from (combinations of) raw sensor data to which a wide variety of methods are applied originating from machine learning and classical statistical approaches. However, an even wider variety in terminologies is used by researchers for methods that are similar in nature. This makes it difficult for readers from other disciplines to understand the specific methods that are used and how these differ from each other. The aim of this paper was to provide a framework (filtering, transformation, and classification) for describing the different methods applied in sensor data-based clinical mastitis detection research and use this framework to review and categorize the approaches and underlying methods described in the scientific literature on mastitis detection. We identified 40 scientific publications between 1992 and 2020 that applied methods to detect clinical mastitis from sensor data. Based on these publications, we developed and used the framework and categorized these scientific publications into the 2 data processing techniques of filtering and transformation. These data processing techniques make raw data more amendable to be used for the third step in our framework, that of classification, which is used to distinguish between healthy and nonhealthy (mastitis) cows. Most publications (n = 34) used filtering or transformation, or a combination of these 2, for data processing before classification, whereas the remaining publications (n = 6) classified the observations directly from raw data. Concerning classification, applying a simple threshold was the most used method (n = 19 publications). Our work identified that within approaches several different methods and terminologies for similar methods were used. Not all publications provided a clear description of the method used, and therefore it seemed that different methods were used between publications, whereas in fact just a different terminology was used, or the other way around. This paper is intended to serve as a reference for people from various research disciplines who need to collaborate and communicate efficiently about the topic of sensor-based mastitis detection and the methods used in this context. The framework used in this paper can support future research to correctly classify approaches and methods, which can improve the understanding of scientific publication. We encourage future research on sensor-based animal disease detection, including that of mastitis detection, to use a more coherent terminology for methods, and clearly state which technique (e.g., filtering) and approach (e.g., moving average) are used. This paper, therefore, can serve as a starting point and further stimulates the interdisciplinary cooperation in sensor-based mastitis research.

PMID:34304870 | DOI:10.3168/jds.2021-20311

Biol Psychiatry. 2021 May 4:S0006-3223(21)01263-4. doi: 10.1016/j.biopsych.2021.04.018. Online ahead of print.

ABSTRACT

BACKGROUND: Polygenic scores (PGSs), which assess the genetic risk of individuals for a disease, are calculated as a weighted count of risk alleles identified in genome-wide association studies. PGS methods differ in which DNA variants are included and the weights assigned to them; some require an independent tuning sample to help inform these choices. PGSs are evaluated in independent target cohorts with known disease status. Variability between target cohorts is observed in applications to real data sets, which could reflect a number of factors, e.g., phenotype definition or technical factors.

METHODS: The Psychiatric Genomics Consortium Working Groups for schizophrenia and major depressive disorder bring together many independently collected case-control cohorts. We used these resources (31,328 schizophrenia cases, 41,191 controls; 248,750 major depressive disorder cases, 563,184 controls) in repeated application of leave-one-cohort-out meta-analyses, each used to calculate and evaluate PGS in the left-out (target) cohort. Ten PGS methods (the baseline PC+T method and 9 methods that model genetic architecture more formally: SBLUP, LDpred2-Inf, LDpred-funct, LDpred2, Lassosum, PRS-CS, PRS-CS-auto, SBayesR, MegaPRS) were compared.

RESULTS: Compared with PC+T, the other 9 methods gave higher prediction statistics, MegaPRS, LDPred2, and SBayesR significantly so, explaining up to 9.2% variance in liability for schizophrenia across 30 target cohorts, an increase of 44%. For major depressive disorder across 26 target cohorts, these statistics were 3.5% and 59%, respectively.

CONCLUSIONS: Although the methods that more formally model genetic architecture have similar performance, MegaPRS, LDpred2, and SBayesR rank highest in most comparisons and are recommended in applications to psychiatric disorders.

PMID:34304866 | DOI:10.1016/j.biopsych.2021.04.018

Dtsch Arztebl Int. 2021 Jun 11;118(23):397-402. doi: 10.3238/arztebl.m2021.0149.

ABSTRACT

BACKGROUND: Regional deprivation can increase the risk of illness and adversely affect care outcomes. In this study, we investigated for the German state of Rhineland-Palatinate whether spatial-structural disadvantages are associated with an increased frequency of ischemic stroke and with less favorable care outcomes.

METHODS: We compared billing data from DRG statistics (2008-2017) and quality assurance data (2017) for acute ischemic stroke with the German Index of Multiple Deprivation 2010 (GIMD 2010) for the 36 districts (Landkreise) and independent cities (i.e., cities not belonging to a district) in Rhineland-Palatinate using correlation analyses, a Poisson regression analysis, and logistic regression analyses.

RESULTS: The age-standardized stroke rates (ASR) ranged from 122 to 209 per 100 000 inhabitants, while the GIMD 2010 ranged from 4.6 to 47.5; the two values were positively correlated (Spearman’s ρ = 0.47; 95% confidence interval [0.16; 0.85]). In 2017, mechanical thrombectomies were performed more commonly (5.7%) in the first GIMD 2010 quartile of the regional areas (i.e., in the least deprived areas) than in the remaining quartiles (4.2-4.6%). The intravenous thrombolysis rates showed no differences from one GIMD 2010 quartile to another. Severe neurological deficits (National Institutes of Health Stroke Scale ≥ 5) on admission to the hospital were slightly more common in the fourth quartile (i.e., in the most deprived areas), while antiplatelet drugs and statins were somewhat less commonly ordered on discharge in those areas than in the first quartile.

CONCLUSION: These findings document a relationship between regional deprivation and the occurrence of acute ischemic stroke. Poorer GIMD 2010 scores were associated with worse care outcomes in a number of variables, but the absolute differences were small.

PMID:34304754 | DOI:10.3238/arztebl.m2021.0149

Disaster Med Public Health Prep. 2021 Jul 26:1-8. doi: 10.1017/dmp.2021.175. Online ahead of print.

ABSTRACT

OBJECTIVE: Weather extremes are increasing with climate change and associated with higher morbidity and mortality. Promotion of social connections is an emerging area of research and practice for risk reduction during weather extremes. This study examines the practice of checking on neighbors during extreme summer heat and extreme winter weather. Objectives are to (1) describe the extent of neighbor checking during these extremes, and (2) examine factors associated with neighbor checking.

METHODS: We analyze survey data (n = 442) from a primarily low- and moderate- income study sample in a Southeastern U.S. city, using descriptive statistics and logistic regression.

RESULTS: About 17.6% of participants checked on neighbors during extreme summer heat, and 25.2% did so during extreme winter weather. Being middle or older aged and having more adverse physical health impacts were positively associated with neighbor checking, for both extremes. For winter only, having less education was positively associated with neighbor checking.

CONCLUSIONS: Community-based partnerships for reducing risk during weather extremes may consider people who are older or have experienced their own adverse health impacts as initial target groups for promoting neighbor checking. Future research should also examine the motivations for, details about, and impacts of neighbor checking in greater depth.

PMID:34304752 | DOI:10.1017/dmp.2021.175

Cardiol Young. 2021 Jul 26:1-8. doi: 10.1017/S1047951121002833. Online ahead of print.

ABSTRACT

INTRODUCTION: The aim of this study was to describe the development and assess the usefulness of a feeding clinic to help infants with CHD tolerate the highest level of oral feeding while achieving growth velocity and supporting neurodevelopment.

MATERIALS AND METHODS: This retrospective, cohort study assessed feeding outcomes for infants who underwent cardiac surgery at <30 days of age with cardiopulmonary bypass between February 2016 and April 2020. Diagnoses, age at surgery, hospitalisation variables, and feeding outcomes were compared between two cohorts, pre- and post-implementation of a specialised feeding clinic using Exact Wilcoxon signed-rank test, chi-squared, or Fisher’s exact test. The association between time to full oral feed and risk factors was assessed using univariable and multivariable Cox regression model.

RESULTS: Post-clinic infants (n = 116) surgery was performed at a median of 6 days of life (interquartile range: 4, 8) with median hospital length of stay of 19 days (interquartile range: 16, 26). Infants’ median age at first clinic visit was at 30 days old (interquartile range: 24, 40) and took median 10 days (interquartile range: 7, 12) after hospital discharge to first clinic visit. In the post-clinic cohort, the median time to 100% oral feeding was 47 days (interquartile range: 27, 96) compared to the 60 days (interquartile range: 20, 84) in the pre-clinic cohort (n = 22), but the difference was not statistically significant.

DISCUSSION: The cardiac feeding clinic was utilised by our neonatal surgery population and feasible in coordination with cardiology follow-up visits. Future assessment of cardiac feeding clinic impact should include additional measures of feeding and neurodevelopmental success.

PMID:34304751 | DOI:10.1017/S1047951121002833

Cardiol Young. 2021 Jul 26:1-6. doi: 10.1017/S1047951121002973. Online ahead of print.

ABSTRACT

INTRODUCTION: Patients with cyanotic heart disease are at an increased risk of developing thrombosis. Aspirin has been the mainstay of prophylactic anticoagulation for shunt-dependent patients with several reports of prevalent aspirin resistance, especially in neonates. We investigate the incidence of aspirin resistance and its relationship to thrombotic events and mortality in a cohort of infants with shunt-dependent physiology.

METHODS: Aspirin resistance was assessed using the VerifyNow™ test on infants with single-ventricle physiology following shunt-dependent palliation operations. In-hospital thrombotic events and mortality data were collected. Statistical analysis was performed to evaluate the effect of aspirin resistance on in-hospital thrombotic events and mortality risk.

RESULTS: Forty-nine patients were included with 41 of these patients being neonates. Six patients (12%) were aspirin resistant. A birth weight < 2500 grams was a significant factor associated with aspirin resistance (p = 0.04). Following a dose increase or additional dose administration, all patients with initial aspirin resistance had a normal aspirin response. There was no statistically significant difference between aspirin resistance and non-resistance groups with respect to thrombotic events. However, a statistically significant incidence of in-hospital mortality in the presence of thrombotic events was observed amongst aspirin-resistant patients (p = 0.04) in this study.

CONCLUSION: Low birth weight was associated with a higher incidence of aspirin resistance. Inadequate initial dosing appears to be the primary reason for aspirin resistance. The presence of both thrombotic events and aspirin resistance was associated with significantly higher in-hospital mortality indicating that these patients warrant closer monitoring.

PMID:34304746 | DOI:10.1017/S1047951121002973

Women Health. 2021 Jul 25:1-13. doi: 10.1080/03630242.2021.1957746. Online ahead of print.

ABSTRACT

Studies have examined individual and community level factors associated with unintended pregnancies. However, existing studies tends to focus the general population of reproductive age women without isolating women of advanced reproductive age (women at the age range of 35-49 years) for specific research attention. There is need for specific attention on this group of women because pregnancies among them whether intended or unintended elevate obstetric risks for both mother and child. This study examines associated individual and community factors of unintended pregnancies among women of advanced reproductive age in Nigeria. Data were extracted from the 2018 Nigeria Demographic and Health Survey. A weighted sample of 12,509 women was analyzed. Three multilevel logistic regression models were estimated. The study revealed a 10.3% prevalence of unintended pregnancies. Individual characteristics such as maternal age, number of living children, delayed marriage, and community characteristics such as high community poverty and high community unmet contraceptive need were significantly associated with unintended pregnancies. Variations in unintended pregnancies across the communities were more attributable to individual factors. Interventions should develop specific strategies tailored toward women of advanced reproductive age.

PMID:34304727 | DOI:10.1080/03630242.2021.1957746

Zhonghua Yu Fang Yi Xue Za Zhi. 2021 Jul 6;55(7):884-889. doi: 10.3760/cma.j.cn112150-20201110-01356.

ABSTRACT

Using a cross-sectional study, 246 patients with hemorrhage and transformation after cerebral ischemic stroke(CIS) thrombolysis who were admitted to Shangqiu First People’s Hospital, Shangqiu Municipal Hospital, and Shangqiu Liangyuan Traditional Chinese Medicine Hospital from March 2018 to May 2020 were selected as the observation group, 246 patients with no hemorrhage transformation after CIS thrombolysis during the same period were selected as the control group with a ratio of 1∶1. Polymerase chain reaction and pyrosequencing methods were used to detect the single nucleotide polymorphisms of the two groups of ABCB1 genes. The frequency distribution of each genotype of the two groups of ABCB1 gene polymorphism sites was counted. The conditional logistic regression equation was used to analyze the CIS after thrombolysis. Related influencing factors of hemorrhage transformation, and compare the single nucleotide polymorphisms of ABCB1 gene in patients with different prognosis in the observation group. The results showed that the CC genotype frequency of rs1045642 in the observation group was 34.55% higher than that of the control group 25.02%, the CT genotype frequency was 12.20%, and the TT genotype frequency 3.25% was lower than that of the control group 14.63% and 9.35% (χ²=21.527, P<0.05); GG genotype frequency at rs2032582 locus in observation group was 17.89%, GT genotype frequency 21.54% was lower than control group 37.60%, 93.96%, TT genotype frequency 10.57% higher than control group 2.44%, the difference was statistically significant (χ²=80.427, P<0.05); TT genotype at rs1045642 is a protective factor for hemorrhage transformation, and TT genotype at rs2032582 is a risk factor for hemorrhage transformation (OR=2.903, P<0.05). The risk of bleeding after thrombolysis in CIS patients in Shangqiu area may be related to the TT genotype at the ABCB1 rs1045642 locus and the TT genotype at the rs2032582 locus.

PMID:34304427 | DOI:10.3760/cma.j.cn112150-20201110-01356

Zhonghua Yu Fang Yi Xue Za Zhi. 2021 Jul 6;55(7):879-883. doi: 10.3760/cma.j.cn112150-20200714-01005.

ABSTRACT

Objective: to analyze the distribution characteristics of major enteropathogens in infectious diarrhea cases attending the intestinal outpatient clinic of Beijing Traditional Chinese medicine hospital, Capital Medical University. Methods: From 2016 to 2019, 588 fecal samples of patients with infectious diarrhea in Beijing Hospital of traditional Chinese Medicine Affiliated to Capital Medical University were collected for microbial isolation, culture, identification and pathogen gene detection. Using VITEK 2 compact full-automatic microbial identification/drug sensitivity analysis system to identify the bacteria isolated from the culture; using serum agglutination test to classify the pure colonies; using multiple fluorescence quantitative PCR amplification technology to detect the gene amplification of the samples. Results: In 2016-2019, the total physical examination rate of pathogen was 39.796%. The top three pathogen were diarrhea Escherichia coli (21.769%, n=128), Salmonella (5.782%, n=34), Vibrio (4.762%, n=28). The difference of positive rates of different pathogens in four years was statistically significant (P=0.021), and the peak of incidence was from July to September. The positive rate of norovirus was 5.612% (n=33), and the highest incidence occurred in May. Conclusion: The pathogen of infectious diarrhea patients in Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University from April to October 2016-2019 is mainly diarrhea Escherichia coli, and the pathogen type of norovirus is GⅡ genome.

PMID:34304426 | DOI:10.3760/cma.j.cn112150-20200714-01005

Zhonghua Yu Fang Yi Xue Za Zhi. 2021 Jul 6;55(7):867-874. doi: 10.3760/cma.j.cn112150-20210224-00184.

ABSTRACT

Objective: To investigate the characteristics of cervical microbiota in patients with HPV (Human Papillomavirus) infection, and to analyze the associations of cervical microbiota and HPV infection or cervicitis. Methods: 300 samples underwent HPV nucleic acid testing was collected in this case-control study from June 2019 to April 2020 in the Zhujiang Hospital of Southern Medical University, there were 150 cases allocated in HPV infection group (HPV+), and 150 cases of negative nucleic acid test were non-infectious Group (HPV-). Next-generation sequencing was used to sequence the V4 region of the bacterial 16S rRNA gene, and QIIME pipeline was used to analysis the microbiota composition of the two groups. Wilcoxon rank sum test and Kruskal-Wallis test were used to statistically analysis the differences of the microbiota between groups; and the α diversity and β diversity of the flora between groups were statistically analyzed by Adonis multivariate analysis of variance and Wilcoxon rank sum test. Results: A total of 300 samples were analyzed in this study, of which 150 samples were HPV-positive and 150 samples were HPV-negative; among HPV-positive cases, 132 were infected by high-risk HPV (88.0%), and 18 were low-risk HPV infections (12.0%). The composition of the cervical microbiota were significantly different between the HPV+group and the HPV-group, which in the HPV+group, the α diversity of the cervical microbiota were significantly increased (Shannon index, W=8 174, P<0.000 1; PD whole tree, W=8 887, P=0.001 7). The β diversity of the two groups was significantly different (Binary Jaccard, F=2.325 4, P=0.042 0; Bray Curtis, F=2.136 44, P=0.044 0). The relative abundance of Lactobacillus spp. and L.iners in the HPV+group sample decreased significantly (W=7 730, P<0.000 1; W=8 979, P=0.002 5), accompanied by enriched Achromobacter, Stenotrophomonas, Methylobacterium, Sneathia and Dialister. There was no significant difference in the composition of the cervical microbiota between high-risk HPV infection and low-risk HPV infection (F=4.100 4, P>0.05). In addition, cervicitis is significantly related to HPV infection (χ²=19.78, P<0.000 1), the composition of cervical flora has similarity features in cervicitis and HPV infection samples. Compared with the normal group, the cervical microbiota of cervicitis with HPV infection is mainly enriched in Achromobacter, Aerococcaceae, Streptococcus, Fusobacteria, and Xanthomonadaceae. Conclusion: The cervical microbiota of patients with HPV infection has a significant dysbiosis, with increased diversity and significant depletion of lactobacillus, accompanied by an increase in the abundance of pathogenic bacteria such as Achromobacter.

PMID:34304424 | DOI:10.3760/cma.j.cn112150-20210224-00184