Hyalinization as a histomorphological risk predictor in oral pathological lesions

Aim: This study aimed to develop an effective risk predictor for patients with stage II and III colorectal cancer (CRC). Materials & methods: The prognostic value of p-mTOR (Ser2448) levels was analyzed using Kaplan–Meier survival analysis and Cox regression analysis. Results: The levels of p-mTOR were increased in CRC specimens and significantly correlated with poor prognosis in patients with stage II and III CRC. Notably, the p-mTOR level was an independent poor prognostic factor for disease-free survival and overall survival in stage II CRC. Conclusion: Aberrant mTOR activation was significantly associated with the risk of recurrence or death in patients with stage II and III CRC, thus this activated proteins that may serve as a potential biomarker for high-risk CRC.

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Pathological lesions of lambs infected in utero with bovine viral diarrhoea virus type 1c (BVDV-1c)

Veterinary Record ◽

10.1002/vetr.6 ◽

2021 ◽

Vol 188 (3) ◽

pp. 187-196

Author(s):

Caitlin A. Evans ◽

Lucy Woolford ◽

Farhid Hemmatzadeh ◽

Michael P. Reichel ◽

Peter D. Cockcroft

Keyword(s):

Virus Type ◽

Bovine Viral Diarrhoea Virus ◽

In Utero ◽

Bovine Viral Diarrhoea ◽

Pathological Lesions ◽

Diarrhoea Virus

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Predicting hospital admissions from individual patient data (IPD): an applied example to explore key elements driving external validity

BMJ Open ◽

10.1136/bmjopen-2020-045572 ◽

2021 ◽

Vol 11 (8) ◽

pp. e045572

Author(s):

Andreas Daniel Meid ◽

Ana Isabel Gonzalez-Gonzalez ◽

Truc Sophia Dinh ◽

Jeanet Blom ◽

Marjan van den Akker ◽

...

Keyword(s):

Prognostic Model ◽

Prediction Models ◽

Hospital Admissions ◽

Absolute Risk ◽

External Validation ◽

Baseline Risk ◽

Study Heterogeneity ◽

Related Quality ◽

Individual Participant ◽

Risk Predictor

ObjectiveTo explore factors that potentially impact external validation performance while developing and validating a prognostic model for hospital admissions (HAs) in complex older general practice patients.Study design and settingUsing individual participant data from four cluster-randomised trials conducted in the Netherlands and Germany, we used logistic regression to develop a prognostic model to predict all-cause HAs within a 6-month follow-up period. A stratified intercept was used to account for heterogeneity in baseline risk between the studies. The model was validated both internally and by using internal-external cross-validation (IECV).ResultsPrior HAs, physical components of the health-related quality of life comorbidity index, and medication-related variables were used in the final model. While achieving moderate discriminatory performance, internal bootstrap validation revealed a pronounced risk of overfitting. The results of the IECV, in which calibration was highly variable even after accounting for between-study heterogeneity, agreed with this finding. Heterogeneity was equally reflected in differing baseline risk, predictor effects and absolute risk predictions.ConclusionsPredictor effect heterogeneity and differing baseline risk can explain the limited external performance of HA prediction models. With such drivers known, model adjustments in external validation settings (eg, intercept recalibration, complete updating) can be applied more purposefully.Trial registration numberPROSPERO id: CRD42018088129.

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Comparison of two recent ceramide-based coronary risk prediction scores: CERT and CERT-2

European Heart Journal ◽

10.1093/ehjci/ehaa946.2922 ◽

2020 ◽

Vol 41 (Supplement_2) ◽

Author(s):

A Leiherer ◽

A Muendlein ◽

C.H Saely ◽

R Laaksonen ◽

M Laaperi ◽

...

Keyword(s):

Cardiovascular Mortality ◽

Coronary Event ◽

Cardiovascular Death ◽

Survival Models ◽

Risk Category ◽

Net Reclassification Improvement ◽

Event Risk ◽

Risk Predictor ◽

Risk Categories

Abstract The Coronary Event Risk Test (CERT) is a validated cardiovascular risk predictor that uses circulating ceramide concentrations to allocate patients into one of four risk categories. This test has recently been updated (CERT-2), now additionally including phosphatidylcholine concentrations. The purpose of this study was to investigate the power of CERT and CERT-2 to predict cardiovascular mortality in patients with cardiovascular disease (CVD). We investigated a cohort of 999 patients with established CVD. Overall, comparing survival curves (figure) for over 12 years of follow up and the predictive power of survival models using net reclassification improvement (NRI), CERT-2 was the best predictor of cardiovascular mortality, surpassing CERT (NRI=0.456; p=0.01) and also the 2019 ESC-SCORE (NRI=0.163; p=0.04). Patients in the highest risk category of CERT as compared to the lowest category had a HR of 3.63 [2.09–6.30] for cardiovascular death; for CERT-2 the corresponding HR was 6.02 [2.47–14.64]. Among patients with T2DM (n=322), the HR for cardiovascular death was 3.00 [1.44–6.23] using CERT and 7.06 [1.64–30.50] using CERT-2; the corresponding HRs among non-diabetic subjects were 2.99 [1.20–7.46] and 3.43 [1.03–11.43], respectively. We conclude that both, CERT and CERT-2 scores are powerful predictors of cardiovascular mortality in CVD patients, especially in those patients with T2D. Performance is even higher with CERT-2. Funding Acknowledgement Type of funding source: None

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Pathological Lesions in Swine at Slaughter

Acta Veterinaria Scandinavica ◽

10.1186/bf03546577 ◽

1979 ◽

Vol 20 (4) ◽

pp. 498-514 ◽

Cited By ~ 1

Author(s):

Kjell I. Flesjå ◽

Hans O. Ulvesæter

Keyword(s):

Pathological Lesions

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Prediction of parental alienation on depression in left-behind children: A 12-month follow-up investigation

Epidemiology and Psychiatric Sciences ◽

10.1017/s2045796021000329 ◽

2021 ◽

Vol 30 ◽

Author(s):

Xiaoxiao Sun ◽

Xuemei Qin ◽

Mengjia Zhang ◽

Aigang Yang ◽

Xiaomei Ren ◽

...

Keyword(s):

Life Events ◽

Protective Factor ◽

Stressful Life Events ◽

Parental Alienation ◽

Left Behind ◽

Resilience Scale ◽

Children’S Depression ◽

Risk Predictor ◽

High Level

Abstract Aims Alienation towards parents often occurs when parents divorce; however, it can also occur when one or both parents leave for work for more than 6 months. Our previous investigation has confirmed a high level of feelings of alienation towards parents among Chinese left-behind children. However, the longitudinal prediction of alienation on children's mental health outcomes remains largely unknown. This study aims to observe the prediction of alienation towards parents on children's depression 12 months later and potential mediators and moderators. Methods A total of 1090 Chinese left-behind children took part in this 12-month follow-up investigation, using the Chinese version of the Inventory of Alienation towards Parents (IAP), the Children's Depression Inventory (CDI), the Adolescent Self-Rating Life-events Checklist (ASLEC), and the Adolescent Resilience Scale. Results Alienation towards parents was high (16.42 ± 7.27 for mother, 15.63 ± 7.17 for father) in left-behind children, and 21.01% of children reported depression. Alienation towards parents predicted current depression of children directly and later depression indirectly; children's alienation toward their mothers was a stronger predictor of depression than alienation towards fathers. In models, stressful life-events acted as a risk mediator. Previous depression was the strongest risk predictor, resilience was the strongest protective factor, and duration of fathers’ absence and parents’ marital status moderated the predictive effects. Conclusions This study is among the first to longitudinally confirm that alienation towards parents is a predictor of children's later depression. The results provide important suggestions for families and schools; i.e. to prevent depression in left-behind children, parent−child bonds especially alienation towards mothers, should be carefully considered, and individuals with more negative life-events and weaker resilience need further attention.

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