scholarly journals Relationship between Fertility Traits and Kinematics in Clusters of Boar Ejaculates

Biology ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 595
Author(s):  
Vinicio Barquero ◽  
Eduardo R. S. Roldan ◽  
Carles Soler ◽  
Bernardo Vargas-Leitón ◽  
Francisco Sevilla ◽  
...  
Keyword(s):  
Litter Size ◽  
Clustering Methods ◽  
Operating Characteristics ◽  
Kinematic Parameters ◽  
Roc Curve Analysis ◽  
Predictive Capacity ◽  
Head Displacement ◽  
Multivariate Procedures ◽  
Discriminant Ability ◽  
Principal Factors

The aim was to determine the relationship between kinematic parameters of boar spermatozoa and fertility rates of sow, as well as to assess the effect of sperm clusters on the fertility capacity of the ejaculate. Semen samples were collected from 11 sexually mature boars. Samples were analyzed by an ISAS®v1 CASA-Mot system for eight kinematic parameters. Ejaculate clusters were characterized using multivariate procedures, such as principal factors (PFs) analysis and clustering methods (the k-means model). Four different ejaculate clusters were identified from two kinematic PFs which involved linear trajectory and velocity. There were differences (p < 0.05) between the sperm kinematic variables by sire line. There was no statistical difference (p > 0.05) between dam lines and ejaculate clusters in fertility variables. The discriminant ability of the different kinematics of sperm variables to predict litter size fertility was analyzed using receiver operating characteristics (ROC) curve analysis. Curvilinear velocity (VCL), average path velocity (VAP), amplitude of lateral head displacement (ALH), and beat-cross frequency (BCF) showed significant, albeit limited, predictive capacity for litter size fertility variables (range: 0.55–0.58 area under curve, AUC). The kinematic analysis of the ejaculates in clusters did not have a predictive capacity for litter size variables.

scholarly journals Predictive Capacity of Boar Sperm Morphometry and Morphometric Sub-Populations on Reproductive Success after Artificial Insemination

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 920
Author(s):  
Vinicio Barquero ◽  
Eduardo R. S. Roldan ◽  
Carles Soler ◽  
Jesús L. Yániz ◽  
Marlen Camacho ◽  
...  
Keyword(s):  
Reproductive Success ◽  
Litter Size ◽  
Artificial Insemination ◽  
Sperm Head ◽  
Computer Assisted ◽  
Operating Characteristics ◽  
Head Shape ◽  
Roc Curve Analysis ◽  
Predictive Capacity ◽  
Shape And Size

The aim of the study was to compare the morphometric features of sperm head size and shape from the Pietrain line and the Duroc × Pietrain boar crossbred terminal lines, and to evaluate their relationship with reproductive success after artificial insemination of sows produced from crossbreeding the York, Landrace and Pietrain breeds. Semen samples were collected from 11 sexually mature boars. Only ejaculates with greater than 70% motility rate and < 15% of abnormal sperm were used for artificial inseminations (AI) and included in the study. Samples were analyzed using an ISAS®v1 computer-assisted sperm analysis system for eight morphometric parameters of head shape and size (CASA-Morph). Sub-populations of morphometric ejaculates were characterized using multivariate procedures, such as principal component (PC) analysis and clustering methods (k-means model). Four different ejaculate sub-populations were identified from two PCs that involved the head shape and size of the spermatozoa. The discriminant ability of the different morphometric sperm variables to predict sow litter size was analyzed using a receiver operating characteristics (ROC) curve analysis. Sperm head length, ellipticity, elongation, and regularity showed significant predictive capacity on litter size (0.59, 0.59, 0.60, and 0.56 area under curve (AUC), respectively). The morphometric sperm sub-populations were not related to sow litter size.

scholarly journals Altered urinary tetrahydroisoquinoline derivatives in patients with Tourette syndrome: reflection of dopaminergic hyperactivity?

2020 ◽  
Author(s):  
Philipp Capetian ◽  
Veit Roessner ◽  
Caroline Korte ◽  
Susanne Walitza ◽  
Franz Riederer ◽  
...  
Keyword(s):  
Tourette Syndrome ◽  
Diagnostic Value ◽  
Tic Disorders ◽  
Operating Characteristics ◽  
Roc Curve Analysis ◽  
Two Phase ◽  
Dopaminergic Neurotransmission ◽  
Hyperactivity Disorder ◽  
The Central Nervous System ◽  
Chronic Tic Disorders

AbstractTetrahydroisoquinolines (TIQs) such as salsolinol (SAL), norsalsolinol (NSAL) and their methylated derivatives N-methyl-norsalsolinol (NMNSAL) and N-methyl-salsolinol (NMSAL), modulate dopaminergic neurotransmission and metabolism in the central nervous system. Dopaminergic neurotransmission is thought to play an important role in the pathophysiology of chronic tic disorders, such as Tourette syndrome (TS). Therefore, the urinary concentrations of these TIQ derivatives were measured in patients with TS and patients with comorbid attention-deficit/hyperactivity disorder (TS + ADHD) compared with controls. Seventeen patients with TS, 12 with TS and ADHD, and 19 age-matched healthy controls with no medication took part in this study. Free levels of NSAL, NMNSAL, SAL, and NMSAL in urine were measured by a two-phase chromatographic approach. Furthermore, individual TIQ concentrations in TS patients were used in receiver-operating characteristics (ROC) curve analysis to examine the diagnostic value. NSAL concentrations were elevated significantly in TS [434.67 ± 55.4 nmol/l (standard error of mean = S.E.M.), two-way ANOVA, p < 0.0001] and TS + ADHD patients [605.18 ± 170.21 nmol/l (S.E.M.), two-way ANOVA, p < 0.0001] compared with controls [107.02 ± 33.18 nmol/l (S.E.M.), two-way ANOVA, p < 0.0001] and NSAL levels in TS + ADHD patients were elevated significantly in comparison with TS patients (two-way ANOVA, p = 0.017). NSAL demonstrated an AUC of 0.93 ± 0.046 (S.E.M) the highest diagnostic value of all metabolites for the diagnosis of TS. Our results suggest a dopaminergic hyperactivity underlying the pathophysiology of TS and ADHD. In addition, NSAL concentrations in urine may be a potential diagnostic biomarker of TS.

scholarly journals Right choice of a method for determination of cut-off values: A statistical tool for a diagnostic test

2014 ◽  
Vol 5 (3) ◽  
pp. 30-34 ◽  
Author(s):  
Balkishan Sharma ◽  
Ravikant Jain
Keyword(s):  
Logistic Regression ◽  
Discriminant Analysis ◽  
Diagnostic Test ◽  
Roc Curve ◽  
Traditional Method ◽  
Statistical Technique ◽  
Curve Analysis ◽  
Operating Characteristics ◽  
Roc Curve Analysis

Objective: The clinical diagnostic tests are generally used to identify the presence of a disease. The cutoff value of a diagnostic test should be chosen to maximize the advantage that accrues from testing a population of human and others. When a diagnostic test is to be used in a clinical condition, there may be an opportunity to improve the test by changing the cutoff value. To enhance the accuracy of diagnosis is to develop new tests by using a proper statistical technique with optimum sensitivity and specificity. Method: Mean±2SD method, Logistic Regression Analysis, Receivers Operating Characteristics (ROC) curve analysis and Discriminant Analysis (DA) have been discussed with their respective applications. Results: The study highlighted some important methods to determine the cutoff points for a diagnostic test. The traditional method is to identify the cut-off values is Mean±2SD method. Logistic Regression Analysis, Receivers Operating Characteristics (ROC) curve analysis and Discriminant Analysis (DA) have been proved to be beneficial statistical tools for determination of cut-off points.Conclusion: There may be an opportunity to improve the test by changing the cut-off value with the help of a correctly identified statistical technique in a clinical condition when a diagnostic test is to be used. The traditional method is to identify the cut-off values is Mean ± 2SD method. It was evidenced in certain conditions that logistic regression is found to be a good predictor and the validity of the same can be confirmed by identifying the area under the ROC curve. Abbreviations: ROC-Receiver operating characteristics and DA-Discriminant Analysis. Asian Journal of Medical Science, Volume-5(3) 2014: 30-34 http://dx.doi.org/10.3126/ajms.v5i3.9296      

scholarly journals Discovery and Validation of a Three-Cytokine Plasma Signature as a Biomarker for Diagnosis of Pediatric Tuberculosis

2021 ◽  
Vol 12 ◽  
Author(s):  
Nathella Pavan Kumar ◽  
Syed Hissar ◽  
Kannan Thiruvengadam ◽  
Velayuthum V. Banurekha ◽  
N. Suresh ◽  
...  
Keyword(s):  
Plasma Levels ◽  
Validation Cohort ◽  
Diagnostic Study ◽  
Operating Characteristics ◽  
Discovery Cohort ◽  
Roc Curve Analysis ◽  
Immune Biomarkers ◽  
Cytokine Plasma ◽  
Pediatric Tb ◽  
Pediatric Tuberculosis

Pediatric TB poses challenge in diagnosis due to the paucibacillary nature of the disease. We conducted a prospective diagnostic study to identify immune biomarkers of pediatric TB and controls (discovery cohort) and obtained a separate “validation” cohort of confirmed cases of pediatric TB and controls. Multiplex ELISA was performed to examine the plasma levels of cytokines. Discovery and validation cohorts revealed that baseline plasma levels of IFNγ, TNFα, IL-2, and IL-17A were significantly higher in active TB (confirmed TB and unconfirmed TB) in comparison to unlikely TB children. Receiver operating characteristics (ROC) curve analysis revealed that IFNγ, IL-2, TNFα, and IL-17A (in the discovery cohort) and TNFα and IL-17A (in the validation cohort) could act as biomarkers distinguishing confirmed or unconfirmed TB from unlikely TB with the sensitivity and specificity of more than 90%. In the discovery cohort, cytokines levels were significantly diminished following anti-tuberculosis treatment. In both the cohorts, combiROC models offered 100% sensitivity and 98% to 100% specificity for a three-cytokine signature of TNFα, IL-2, and IL-17A, which can distinguish confirmed or unconfirmed TB children from unlikely TB. Thus, a baseline cytokine signature of TNFα, IL-2, and IL-17A could serve as an accurate biomarker for the diagnosis of pediatric tuberculosis.

scholarly journals The Use of Biochemical and Biophysical Markers in Early Screening for Preeclampsia in Mongolia

2018 ◽  
Vol 6 (3) ◽  
pp. 57
Author(s):  
Urjindelger Tserensambuu ◽  
Ariunbold Chuluun-Erdene ◽  
Munkhtsetseg Janlav ◽  
Erkhembaatar Tudevdorj
Keyword(s):  
Mean Arterial Pressure ◽  
Arterial Pressure ◽  
Pulsatility Index ◽  
Uterine Artery ◽  
Maternal Serum ◽  
Operating Characteristics ◽  
Early Screening ◽  
Roc Curve Analysis ◽  
Detection Rates ◽  
The Mean

Preeclampsia (PE) is a major cause of maternal and perinatal morbidity and mortality, particularly in developing countries. In Mongolia, preeclampsia and eclampsia have occurred among pregnancy complications at a rate of 25% in recent years. Recent studies in the literature have screened for preeclampsia by combining maternal factors with biomarkers. This study was conducted using prospective cohort research including 393 singleton pregnancies at 11–13+6 weeks. Maternal plasmas pregnancy-associated plasma protein-A (PAPP-A) and maternal serum placental growth factor (PlGF) were measured using Perkin Elmer time-resolved fluoroimmunoassay (DELFIA) kits, and the measurement of mean arterial pressure (MAP) was performed by automated devices and the uterine artery pulsatility index was measured by Doppler ultrasound. In the study population, there were 16.7% showing complicated preeclampsia. The receiver-operating characteristics (ROC) curve analysis showed a sensitivity of 71.21%, and a specificity of 75.54% when the mean arterial pressure cut-off was 89.5 mm; while a sensitivity of 33.36% and specificity of 77.68% were observed when the uterine artery mean pulsatility index (mPI) cut-off was 2.34; a sensitivity of 79.66% and specificity of 44.04% were observed when the PAPP-A cut-off was 529.1 mU/L; and a sensitivity of 74.58% and specificity of 46.6% were observed when the PlGF cut-off was 39.87 pg/mL. The detection rates following the combination of markers with the maternal history were as follows: 62.7% with mean arterial pressure, 69.5–82.9% with two markers 86.5% with three markers and 91.4% with four markers. In conclusion, the mean arterial pressure was highly sensitive and demonstrated its easy usage and cost-effectiveness as a predictive marker for the early screening of preeclampsia from other biomarkers.

Intertwin differences in umbilical artery pulsatility index are associated with infant survival in twin-to-twin transfusion syndrome

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jimmy Espinoza ◽  
Michael A. Belfort ◽  
Alireza A. Shamshirsaz ◽  
Ahmed A. Nassr ◽  
Magdalena Sanz Cortes ◽  
...  
Keyword(s):  
Laser Surgery ◽  
Pulsatility Index ◽  
Umbilical Artery ◽  
Curve Analysis ◽  
Receiver Operating Characteristics ◽  
Regression Analyses ◽  
Infant Survival ◽  
Operating Characteristics ◽  
Roc Curve Analysis ◽  
Double Twin

Abstract Objectives To evaluate the association of intertwin differences in umbilical artery pulsatility index (DUAPI) and infant survival in twin-to-twin transfusion syndrome (TTTS). Methods Absolute DUAPI was calculated prior to laser surgery. Receiver-operating characteristics (ROC) curve analysis provided an intertwin DUAPI cutoff of 0.4 for the prediction of double twin survival to 30 days of life. Infant survival was compared between women with an intertwin DUAPI <0.4 and ≥0.4 in the whole cohort, in TTTS cases with Quintero stages I/II and in those with Quintero stages III/IV. Regression analyses were performed to evaluate the association of intertwin DUAPI <0.4 and infant survival adjusted for confounders. Results In total, 349 TTTS cases were included. Double twin survival to 30 days was observed in 67% (234/349) of cases. Significant differences in double twin survival was seen between intertwin DUAPI groups in the whole cohort (76.8 vs. 52.2%; p<0.001), in women with TTTS Quintero stage I or II (77.8 vs. 58.5%; p=0.015) as well as in women with TTTS Quintero stage III or IV (75 vs. 49.5%; p=0.001). Intertwin DUAPI <0.4 conferred a threefold increased chance for double twin survival. Conclusions Small intertwin DUAPI is associated with increased double infant survival in early and advanced TTTS stages.

scholarly journals Low and very low birth weight in puppies: definitions, risk factors and survival in a large-scale population

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Amélie Mugnier ◽  
Sylvie Chastant-Maillard ◽  
Hanna Mila ◽  
Faouzi Lyazrhi ◽  
Florine Guiraud ◽  
...  
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Litter Size ◽  
Large Scale ◽  
Very Low Birth Weight ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Operating Characteristics

Abstract Background Neonatal mortality (over the first three weeks of life) is a major concern in canine breeding facilities as an economic and welfare issue. Since low birth weight (LBW) dramatically increases the risk of neonatal death, the risk factors of occurrence need to be identified together with the chances and determinants of survival of newborns at-risk. Results Data from 4971 puppies from 10 breeds were analysed. Two birth weight thresholds regarding the risk of neonatal mortality were identified by breed, using respectively Receiver Operating Characteristics and Classification and Regression Tree method. Puppies were qualified as LBW and very low birth weight (VLBW) when their birth weight value was respectively between the two thresholds and lower than the two thresholds. Mortality rates were 4.2, 8.8 and 55.3%, in the normal, LBW and VLBW groups, accounting for 48.7, 47.9 and 3.4% of the included puppies, respectively. A separate binary logistic regression approach allowed to identify breed, gender and litter size as determinants of LBW. The increase in litter size and being a female were associated with a higher risk for LBW. Survival for LBW puppies was reduced in litters with at least one stillborn, compared to litters with no stillborn, and was also reduced when the dam was more than 6 years old. Concerning VLBW puppies, occurrence and survival were influenced by litter size. Surprisingly, the decrease in litter size was a risk factor for VLBW and also reduced their survival. The results of this study suggest that VLBW and LBW puppies are two distinct populations. Moreover, it indicates that events and factors affecting intrauterine growth (leading to birth weight reduction) also affect their ability to adapt to extrauterine life. Conclusion These findings could help veterinarians and breeders to improve the management of their facility and more specifically of LBW puppies. Possible recommendations would be to only select for reproduction dams of optimal age and to pay particular attention to LBW puppies born in small litters. Further studies are required to understand the origin of LBW in dogs.

Evaluation of anthropometric parameters of central obesity in Pakistani children aged 5–12 years, using receiver operating characteristic (ROC) analysis

2018 ◽  
Vol 31 (9) ◽  
pp. 971-977 ◽  
Author(s):  
Muhammad Asif ◽  
Muhammad Aslam ◽  
Saima Altaf
Keyword(s):  
Central Obesity ◽  
Diagnostic Performance ◽  
Roc Analysis ◽  
Operating Characteristics ◽  
Obese Children ◽  
Roc Curve Analysis ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Anthropometric Parameter ◽  
Receiver Operating

Abstract Background Different anthropometric parameters have been proposed for assessing central obesity in children, but the ability of these anthropometric parameters to correctly measure central obesity in Pakistani children is questionable and needs to be assessed. The aims of this investigation were to examine the diagnostic performance of anthropometric parameters as indicators of central obesity in Pakistani children as measured by waist circumference (WC) and to determine the sex-specific best cut-off values for these parameters that would identify obese children. Methods Anthropometric measurements – height, weight, WC, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), conicity index (CI) and neck circumference (NC) – from a cross-sectional sample of 5964 Pakistani children aged 5–12 years were analyzed. Receiver operating characteristics (ROC) analysis was used to examine the diagnostic performance and to determine the optimal cut-off point of each anthropometric parameter for identifying centrally obese children. Results It was found that WC had a significantly positive correlation with all studied anthropometric parameters. The ROC curve analysis indicated that all the parameters analyzed had good performance but WHtR had the highest value of the area under the curve (AUC). Optimal cut-off points associated with central obesity for boys and girls were, respectively, 0.47 and 0.48 for WHtR, 1.20 and 1.23 for CI, 0.96 and 0.96 for WHR and 26.36 and 26.54 cm for NC. Conclusions The sex-specific cut-off points for WHtR, CI, WHR and NC can be used to detect central obesity in Pakistani children.

P3139Transvenous lead extraction: lead age threshold to predict the success of the procedure

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Giannotti Santoro ◽  
L Segreti ◽  
F Fiorentini ◽  
G Bernini ◽  
V Barletta ◽  
...  
Keyword(s):  
Predictive Value ◽  
Dwell Time ◽  
Clinical Success ◽  
Effective Procedure ◽  
Lead Extraction ◽  
Youden Index ◽  
Operating Characteristics ◽  
Roc Curve Analysis ◽  
Dwelling Time ◽  
Icd Leads

Abstract Introduction Transvenous lead extraction is a safe and effective procedure. The dwell time of the leads, with other factors, is associated with poor outcome of the procedure. However, a precise estimation of the success of the procedure is not available. Purpose The aim of this study is to identify a lead's age threshold able to predict the success of the transvenous lead extraction (TLE) procedure. Methods All patients who underwent TLE in our center from January 2009 to December 2017 were retrospectively analyzed. The primary endpoint was the clinical success of the procedure. The optimal cut-off threshold was determined by the analysis of Receiver-Operating Characteristics (ROC) curves, using the Youden index. Results We analyzed 1210 consecutive patients that required transvenous removal of 2343 leads (686 ICD leads, 1657 pacemaker leads, 322 coronary sinus leads). Clinical success was achieved in 1168 patients (96.5%). Dwelling time median of the oldest lead for a patient was 66 months (interquartile range 27.0–115.0). The oldest lead completely removed was 32 years old. ROC curve analysis showed a dwell time threshold of 107 months – 8,92 years - for clinical success (Positive Predictive Value: 99.5%; Negative Predictive Value: 7.8%) and the area under the curve (AUC) was 0.879. Comparison of ROC for dwelling time and the 0.5 curve was assessed as statistically significative (p<0.0001). Conclusions Transvenous lead extraction is an effective procedure. The best cut-off threshold to predict a very high clinical success is 107 months.

scholarly journals Clinical Prediction Scores for Pediatric Appendicitis

2020 ◽  
Author(s):  
Johanna Gudjonsdottir ◽  
Emma Marklund ◽  
Lars Hagander ◽  
Martin Salö
Keyword(s):  
Age Groups ◽  
False Positives ◽  
Curve Analysis ◽  
Clinical Prediction ◽  
Operating Characteristics ◽  
Roc Curve Analysis ◽  
Alvarado Score ◽  
Predictive Values ◽  
Decision Curve Analysis ◽  
Suspected Appendicitis

Abstract Introduction The rate of misdiagnosis of appendicitis in children is a challenge and clinical prediction scores could be part of the solution. However, the pediatric appendicitis score (PAS) and the Alvarado score have shown disappointing diagnostic accuracy in pediatric validation studies, while the appendicitis inflammatory response (AIR) score and the novel pediatric appendicitis risk calculator (pARC) have not yet been validated thoroughly. Therefore, the aim of the present study was to evaluate these four prediction scores prospectively in children with suspected appendicitis. Materials and Methods A prospective study was conducted over a 2-year period. All patients <15 years with suspected appendicitis were eligible for inclusion. The four prediction scores were compared regarding predictive values, receiver operating characteristics (ROC) curves, decision curve analysis, and clinical outcome. Results Of the 318 patients included, 151 (47 %) patients had appendicitis. The AIR score and the pARC had substantially higher specificity and positive predictive value, and lower rate of false positives (7% and 2%), than the PAS and Alvarado score (36 and 28%, p < 0.001). Across the different gender and age groups, the AIR score and the pARC generally had fewer false positives than the PAS and Alvarado score. There were no significant differences in sensitivity, negative predictive values, rates of missed appendicitis, or ROC curve analysis. In decision curve analysis, the AIR score and the pARC outperformed the PAS and Alvarado score at most threshold probabilities. Conclusion The AIR score and the pARC are superior to the PAS and Alvarado score in diagnosing children with suspected appendicitis.

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