Still birth and mummification in swine-A review

2017 ◽  
Vol 38 (02) ◽  
Author(s):  
R. Raguvaran ◽  
P. Sangeetha ◽  
G. Prabakar ◽  
V. Jadhav Ravindra
Keyword(s):  
Risk Factors ◽  
Litter Size ◽  
Reproductive Failure ◽  
Reproductive Efficiency ◽  
Maternal Factors ◽  
Still Birth ◽  
Large Litter ◽  
Wide Range ◽  
Embryonic Death

Mummification is often noticed in pigs compared to other species due to large litter size. The agents responsible for the reproductive failure in sows may lead to a wide range of sequelae, including abortions, stillbirth, mummification, embryonic death. High prolificacy is associated with increased incidence of stillbirths and mummified fetuses. Plethoras of other foetal and maternal factors have been associated with incidence of still birth and mummification. Identification of those risk factors have been associated with stillbirth and mummified fetuses can helps in optimal herd reproductive efficiency

Frequency of Maternal Factors in Patients of Stillbirth in Pakhtoon Families Visiting Public Hospitals of Peshawar

2021 ◽  
Vol 15 (11) ◽  
pp. 2971-2973
Author(s):  
Nayab Hakim ◽  
Hazooran Lakhan ◽  
Farhana Jabeen Shah ◽  
Shams-ul- Haq ◽  
Memona Muntaqa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Pregnant Women ◽  
Birth Interval ◽  
Physical Violence ◽  
Public Hospitals ◽  
Renal Diseases ◽  
Maternal Risk Factors ◽  
Maternal Factors ◽  
Maternal Risk ◽  
Still Birth

Aim: To determine the frequency of maternal factors in patients of still birth in Pakhtoon families visiting hospitals of Peshawar. Study design: Cross-sectional study Place and duration of study: Department of Community & Preventive Medicine, Kabir Medical College Gandhara University Peshawar from 1stJanuary 2020 to 31stDecember 2020 Methodology: Five hundred pregnant women were enrolled. All multiparous pregnant women of Pakhtoon families with still birth admitted in Gynaecology wards in public hospitals of Peshawar were included. All multiparous pregnant women of Pakhtoon families with still births with renal diseases, accidental trauma, respiratory diseases and history of physical violence visiting public hospitals of Peshawar were excluded. Results: 65% of respondents were from 31-45 years. Maternal risk factors were education below matric 64.4%, 7% respondents were working, 78% respondents with total income less than 30 thousand. 59.8% with last birth interval less than 2 years. 44% respondents had haemoglobin less than 7g/dl. 40.2% respondents had comorbidity with stillbirth i.e. hypertension. Conclusion: Maternal risk factors were low socioeconomic status, birth interval less than 2 years, severe anemia and hypertension in current study. Keywords: Still birth, Socioeconomic, Ante-partum hemorrhage

Pregnancy-associated glycoprotein (PAG) in postpartum ewes

1997 ◽  
Vol 1997 ◽  
pp. 185-185
Author(s):  
M.J Ranilla ◽  
F.E. Gebbie ◽  
L.M. Mitchell ◽  
M. E. King ◽  
J.G. Skinner ◽  
...  
Keyword(s):  
Litter Size ◽  
Early Pregnancy ◽  
Maternal Serum ◽  
Disappearance Rate ◽  
Maternal Circulation ◽  
Endocrine Organ ◽  
Binucleate Cells ◽  
Wide Range ◽  
Rate Of Decline ◽  
Embryonic Death

The mammalian placenta is an active endocrine organ capable of synthesising and secreting a wide range of hormones and proteins. Pregnancy-associated glycoprotein (PAG) is one of these. It is produced by the binucleate cells of the placenta and becomes detectable in the maternal circulation soon after implantation (Zoli et al., 1992a). PAG occurs in cattle (bPAG), goats and sheep (oPAG), and has been used for early pregnancy diagnosis and the detection of embryonic death (Ranilla et al., 1994).In the postpartum cow bPAG has a slow disappearance rate and is detectable in maternal serum until 100 days after calving (Zoli et al., 1992b). The present work was carried out to determine the rate of decline of oPAG in postpartum ewes and to test if the disappearance rate differed with litter size, age and diet.

Stress, anxiety, depression and burnout in frontline health care workers during COVID-19 pandemic: a brief systematic review and new data from Russia

2021 ◽  
Author(s):  
Ekaterina Mosolova ◽  
Dmitry Sosin ◽  
Sergey Mosolov
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Female Gender ◽  
Assessment Tools ◽  
Care Workers ◽  
Younger Age ◽  
Wide Range ◽  
Associated Risk Factors ◽  
Anxiety Depression ◽  
The Impact

During the COVID-19 pandemic, healthcare workers (HCWs) have been subject to increased workload while also exposed to many psychosocial stressors. In a systematic review we analyze the impact that the pandemic has had on HCWs mental state and associated risk factors. Most studies reported high levels of depression and anxiety among HCWs worldwide, however, due to a wide range of assessment tools, cut-off scores, and number of frontline participants in the studies, results were difficult to compare. Our study is based on two online surveys of 2195 HCWs from different regions of Russia during spring and autumn epidemic outbreaks revealed the rates of anxiety, stress, depression, emotional exhaustion and depersonalization and perceived stress as 32.3%, 31.1%, 45.5%, 74.2%, 37.7% ,67.8%, respectively. Moreover, 2.4% of HCWs reported suicidal thoughts. The most common risk factors include: female gender, nurse as an occupation, younger age, working for over 6 months, chronic diseases, smoking, high working demands, lack of personal protective equipment, low salary, lack of social support, isolation from families, the fear of relatives getting infected. These results demonstrate the need for urgent supportive programs for HCWs fighting COVID-19 that fall into higher risk factors groups.

The development of information interaction as a key element of state risk management and health protection

2020 ◽  
pp. 68-76
Author(s):  
S. Voronkova
Keyword(s):  
Risk Factors ◽  
Health Promotion ◽  
Information System ◽  
Information Interaction ◽  
New Information ◽  
Wide Range ◽  
Working Age ◽  
The Russian Federation ◽  
Working Age Population ◽  
Types Of Information

The article discusses ways to obtain information about risk factors and the health status of the population. The article describes a new information system «labor Medicine», which allows to organize the collection of a wide range of data for further analysis and application in the activities of various Executive authorities, public organizations, foundations, legal entities and citizens. It is proposed to improve this system by expanding the types of information collected, creating a passport for health promotion organizations, as well as integration with systems that are being implemented in the Russian Federation for managing the health of the working-age population in the context of state policy in the field of Informatization.

scholarly journals Risk factors for severity on admission and the disease progression during hospitalisation in a large cohort of patients with COVID-19 in Japan

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e047007
Author(s):  
Mari Terada ◽  
Hiroshi Ohtsu ◽  
Sho Saito ◽  
Kayoko Hayakawa ◽  
Shinya Tsuzuki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mechanical Ventilation ◽  
Chronic Respiratory Disease ◽  
Major Effect ◽  
Secondary Outcome ◽  
Healthcare Facilities ◽  
Wide Range ◽  
Registration Number ◽  
Using Data ◽  
Obesity Hypertension

ObjectivesTo investigate the risk factors contributing to severity on admission. Additionally, risk factors of worst severity and fatality were studied. Moreover, factors were compared based on three points: early severity, worst severity and fatality.DesignAn observational cohort study using data entered in a Japan nationwide COVID-19 inpatient registry, COVIREGI-JP.SettingAs of 28 September 2020, 10480 cases from 802 facilities have been registered. Participating facilities cover a wide range of hospitals where patients with COVID-19 are admitted in Japan.ParticipantsParticipants who had a positive test result on any applicable SARS-CoV-2 diagnostic tests were admitted to participating healthcare facilities. A total of 3829 cases were identified from 16 January to 31 May 2020, of which 3376 cases were included in this study.Primary and secondary outcome measuresPrimary outcome was severe or nonsevere on admission, determined by the requirement of mechanical ventilation or oxygen therapy, SpO2 or respiratory rate. Secondary outcome was the worst severity during hospitalisation, judged by the requirement of oxygen and/orinvasive mechanical ventilation/extracorporeal membrane oxygenation.ResultsRisk factors for severity on admission were older age, men, cardiovascular disease, chronic respiratory disease, diabetes, obesity and hypertension. Cerebrovascular disease, liver disease, renal disease or dialysis, solid tumour and hyperlipidaemia did not influence severity on admission; however, it influenced worst severity. Fatality rates for obesity, hypertension and hyperlipidaemia were relatively lower.ConclusionsThis study segregated the comorbidities influencing severity and death. It is possible that risk factors for severity on admission, worst severity and fatality are not consistent and may be propelled by different factors. Specifically, while hypertension, hyperlipidaemia and obesity had major effect on worst severity, their impact was mild on fatality in the Japanese population. Some studies contradict our results; therefore, detailed analyses, considering in-hospital treatments, are needed for validation.Trial registration numberUMIN000039873. https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000045453

scholarly journals Cardiovascular Disease Risk in Bears and Other Gay Men: A Descriptive Study from Poland

2021 ◽  
Vol 18 (3) ◽  
pp. 1044
Author(s):  
Magdalena Mijas ◽  
Karolina Koziara ◽  
Andrzej Galbarczyk ◽  
Grazyna Jasienska
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Gay Men ◽  
Disease Risk ◽  
Older Age ◽  
Analysis Of Covariance ◽  
Control Group ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Wide Range

A risk of cardiovascular disease (CVD) is increased by multiple factors including psychosocial stress and health behaviors. Sexual minority men who identify as Bears form a subculture distinguished by characteristics associated with increased CVD risk such as elevated stress and high body weight. However, none of the previous studies comprehensively investigated CVD risk in this population. Our study compared Bears (N = 31) with other gay men (N = 105) across a wide range of CVD risk factors. Logistic regression and analysis of covariance (ANCOVA) models were performed to compare both groups concerning behavioral (e.g., physical activity), medical (e.g., self-reported hypertension), and psychosocial (e.g., depressiveness) CVD risk factors. Bears were characterized by older age and higher body mass index (BMI) than the control group. We also observed higher resilience, self-esteem, as well as greater prevalence of self-reported hypertension, diabetes, and hypercholesterolemia in Bears. None of these differences remained statistically significant after adjusting for age and, in the case of self-reported diagnosis of diabetes, both age and BMI. Our study demonstrates that Bears are characterized by increased CVD risk associated predominantly with older age and higher BMI. Health promotion interventions addressed to this community should be tailored to Bears’ subcultural norms and should encourage a healthier lifestyle instead of weight loss.

Cannabis use among early adolescents and transdiagnostic mental health risk factors

2021 ◽  
pp. 135910452199463
Author(s):  
Sara Moreno-Mansilla ◽  
Jorge J Ricarte ◽  
David J Hallford
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Health Risk ◽  
Suicide Attempts ◽  
Intolerance Of Uncertainty ◽  
Cannabis Use ◽  
Health Risk Factors ◽  
Symptoms Of Depression ◽  
Modifiable Factors ◽  
Wide Range

Introduction: Cannabis is the most widely used psychoactive substance among adolescents worldwide, and the age at which consumption begins to decrease. Cannabis use in adolescents is associated with a wide range of adverse consequences in adulthood including increased vulnerability to psychosis and other mental disorders, as well as suicidal ideation and attempt. The aim of this study is to extend understanding of the link between cannabis use and mental illness by examining whether cannabis use at early ages predicts transdiagnostic variables that are precursors to severe clinical diagnoses. Methods: A descriptive cross-sectional study was conducted. The sample was made up of 605 adolescents from 7th to 9th grades, with a mean age of 13.2 years ( SD = 1.0, 47% girls). The variables evaluated were: anomalous perception of reality, intolerance of uncertainty, rumination, suicide attempt, hopelessness, and symptoms of depression and anxiety. The administration of the questionnaires was carried out in groups of 20 participants under the supervision of a researcher in a unique session of 1 hour. Results: Adolescent cannabis users scored higher on all variables assessed: anomalous perception of reality (Cohen’s d = .60), rumination ( d = .48), intolerance of uncertainty ( d = .11), suicidal attempt (affirmative answer: 25.9% of users vs 7.7% of non-users), hopelessness ( d = .85), symptoms of depression ( d = .80), and anxiety ( d = .39). A binary logistic regression showed that the only variable uniquely related to cannabis use was hopelessness (Wald = 4.560, OR: 1.159, p = .033). Conclusions: Among some mental health risk factors, hopelessness appears uniquely related to cannabis use. Adolescents may use cannabis as a coping strategy for negative thoughts and emotions, or it may be a consequence of cannabis use. Future prevention programs should focus on preventing/treating modifiable factors such as hopelessness, and delaying cannabis use in specific subgroups of adolescents who experience pathologies such as depression or suicide attempts.

scholarly journals Informing the public health response to COVID-19: a systematic review of risk factors for disease, severity, and mortality

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
M. Flook ◽  
C. Jackson ◽  
E. Vasileiou ◽  
C. R. Simpson ◽  
M. D. Muckian ◽  
...  
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Systematic Review ◽  
At Risk ◽  
Risk Factor ◽  
Disease Severity ◽  
Severe Disease ◽  
Public Health Response ◽  
Wide Range ◽  
Multivariable Analyses

Abstract Background Severe Acute Respiratory Syndrome coronavirus-2 (SARS-CoV-2) has challenged public health agencies globally. In order to effectively target government responses, it is critical to identify the individuals most at risk of coronavirus disease-19 (COVID-19), developing severe clinical signs, and mortality. We undertook a systematic review of the literature to present the current status of scientific knowledge in these areas and describe the need for unified global approaches, moving forwards, as well as lessons learnt for future pandemics. Methods Medline, Embase and Global Health were searched to the end of April 2020, as well as the Web of Science. Search terms were specific to the SARS-CoV-2 virus and COVID-19. Comparative studies of risk factors from any setting, population group and in any language were included. Titles, abstracts and full texts were screened by two reviewers and extracted in duplicate into a standardised form. Data were extracted on risk factors for COVID-19 disease, severe disease, or death and were narratively and descriptively synthesised. Results One thousand two hundred and thirty-eight papers were identified post-deduplication. Thirty-three met our inclusion criteria, of which 26 were from China. Six assessed the risk of contracting the disease, 20 the risk of having severe disease and ten the risk of dying. Age, gender and co-morbidities were commonly assessed as risk factors. The weight of evidence showed increasing age to be associated with severe disease and mortality, and general comorbidities with mortality. Only seven studies presented multivariable analyses and power was generally limited. A wide range of definitions were used for disease severity. Conclusions The volume of literature generated in the short time since the appearance of SARS-CoV-2 has been considerable. Many studies have sought to document the risk factors for COVID-19 disease, disease severity and mortality; age was the only risk factor based on robust studies and with a consistent body of evidence. Mechanistic studies are required to understand why age is such an important risk factor. At the start of pandemics, large, standardised, studies that use multivariable analyses are urgently needed so that the populations most at risk can be rapidly protected. Registration This review was registered on PROSPERO as CRD42020177714.

scholarly journals Risk Factors and Prediction Models for Venous Thromboembolism in Ambulatory Patients with Lung Cancer

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 778
Author(s):  
Ann-Rong Yan ◽  
Indira Samarawickrema ◽  
Mark Naunton ◽  
Gregory M. Peterson ◽  
Desmond Yip ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Venous Thromboembolism ◽  
High Risk ◽  
Prediction Models ◽  
Poor Performance ◽  
Risk Models ◽  
Related Risk ◽  
Wide Range ◽  
Ambulatory Patients

Venous thromboembolism (VTE) is a significant cause of mortality in patients with lung cancer. Despite the availability of a wide range of anticoagulants to help prevent thrombosis, thromboprophylaxis in ambulatory patients is a challenge due to its associated risk of haemorrhage. As a result, anticoagulation is only recommended in patients with a relatively high risk of VTE. Efforts have been made to develop predictive models for VTE risk assessment in cancer patients, but the availability of a reliable predictive model for ambulate patients with lung cancer is unclear. We have analysed the latest information on this topic, with a focus on the lung cancer-related risk factors for VTE, and risk prediction models developed and validated in this group of patients. The existing risk models, such as the Khorana score, the PROTECHT score and the CONKO score, have shown poor performance in external validations, failing to identify many high-risk individuals. Some of the newly developed and updated models may be promising, but their further validation is needed.

A proof-of-concept study applying machine learning methods to putative risk factors for eating disorders: results from the multi-centre European project on healthy eating

2021 ◽  
pp. 1-10
Author(s):  
I. Krug ◽  
J. Linardon ◽  
C. Greenwood ◽  
G. Youssef ◽  
J. Treasure ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Logistic Regression ◽  
Predictive Accuracy ◽  
Area Under The Curve ◽  
Prediction Rule ◽  
Predictive Performance ◽  
Individual Risk ◽  
European Project ◽  
Wide Range

Abstract Background Despite a wide range of proposed risk factors and theoretical models, prediction of eating disorder (ED) onset remains poor. This study undertook the first comparison of two machine learning (ML) approaches [penalised logistic regression (LASSO), and prediction rule ensembles (PREs)] to conventional logistic regression (LR) models to enhance prediction of ED onset and differential ED diagnoses from a range of putative risk factors. Method Data were part of a European Project and comprised 1402 participants, 642 ED patients [52% with anorexia nervosa (AN) and 40% with bulimia nervosa (BN)] and 760 controls. The Cross-Cultural Risk Factor Questionnaire, which assesses retrospectively a range of sociocultural and psychological ED risk factors occurring before the age of 12 years (46 predictors in total), was used. Results All three statistical approaches had satisfactory model accuracy, with an average area under the curve (AUC) of 86% for predicting ED onset and 70% for predicting AN v. BN. Predictive performance was greatest for the two regression methods (LR and LASSO), although the PRE technique relied on fewer predictors with comparable accuracy. The individual risk factors differed depending on the outcome classification (EDs v. non-EDs and AN v. BN). Conclusions Even though the conventional LR performed comparably to the ML approaches in terms of predictive accuracy, the ML methods produced more parsimonious predictive models. ML approaches offer a viable way to modify screening practices for ED risk that balance accuracy against participant burden.

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