scholarly journals Probabilistic model to predict the outcome in acute suicidal chemical poisoning cases from age and gender of patient and type of chemical poison consumed

2021 ◽  
Vol 52 (2) ◽  
pp. 104-108
Author(s):  
Alka Bansal ◽  
Smita Jain ◽  
Ashish Agrawal ◽  
Monica Jain ◽  
Shivankan Kakkar ◽  
...  
Keyword(s):  
Probabilistic Model ◽  
Prospective Observational Study ◽  
Effective Strategies ◽  
Death Probability ◽  
High Death ◽  
Risk Patients ◽  
And Gender ◽  
Poisoning Severity Score ◽  
Global Health Problem ◽  
Gender Type

Background: Acute chemical poisoning is a significant global health problem. Chemical poisons include agrochemical, household and industrial poison subtypes. The present study used a probabilistic model based on age, gender and type of poison consumed by the patient to predict the outcome in acute suicidal poisoning cases. Material and methods: A prospective observational study was conducted at emergency department of SMS Hospital, Jaipur, India, from January 2019 to February 2020. Patients over 15 years of age with poisoning severity score 2 or above were included in the study. Probabilistic model was used to predict the outcome measured in terms of cure, death and left against medical advice (LAMA) using Minitab 14. Results: Poisoning cases were 0.32 % of all emergency presentations. Out of them, 857 (59.6 %) had consumed chemical poison. Their mean age was 32 years and men to women ratio was 1.22. Agrochemical subtype was most common followed by household and industrial poisoning. Analysis by Probabilistic model showed that person between 30-60 years is more likely to be cured and chances of death and LAMA are highest in age group 60-75. Gender-wise, men have higher possibility for recovery. Besides, a person has highest chances of recovery in case of household poisons; death is most common in industrial poisons and LAMA in agrochemical poisons. Conclusion: The study concluded that in poisoning, patients' basic information like age, gender, type of poison consumed can be used to identify high death probability and LAMA risk patients. It will assist in designing and monitoring the most effective strategies for them.

Novel and Practical Approaches to Manage Diet-induced Metabolic Disorders: Part-I

2020 ◽  
Vol 26 (39) ◽  
pp. 4953-4954
Author(s):  
Mallikarjuna Korivi ◽  
Betty Revon Liu
Keyword(s):  
Metabolic Disorders ◽  
Dietary Habits ◽  
Healthy Lifestyle ◽  
Modern World ◽  
Successful Management ◽  
Exercise Interventions ◽  
Beneficial Effects ◽  
Effective Strategies ◽  
Dietary Strategies ◽  
Global Health Problem

Metabolic syndrome (MetS) which is caused by poor dietary habits and sedentary behavior is a serious global health problem. MetS is a cluster of risk factors, represented by central obesity, hyperglycemia, dyslipidemia, and hypertension. In the 21st century, MetS and associated comorbidities, including obesity, diabetes and cardiovascular diseases, are the major threats to human health. Practical dietary strategies, nutritional bioactive compounds and a healthy lifestyle are claimed to be efficient in the management of one or more components of MetS. Nevertheless successful management of MetS and commodities is still a major concern. Since hyperglycemia, inflammation and redox imbalance are intrinsically involved in the progression of MetS comorbidities, finding effective strategies that precisely target these systems is highly warranted. In this scenario, pharmacological and non-pharmacological approaches with or without dietary patterns, phytochemicals or exercise interventions are the practical strategies to combat MetS and associated diseases. However, designing and prescribing of optimal nutritional patterns and exercise regimens remains a big challenge to achieve the maximum beneficial effects. This thematic issue addressed the concerns and provided practical strategies to overcome the malady of MetS in the modern world.

scholarly journals The risk of shoulder pain after laparoscopic surgery for infertility is higher in thin patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin You Li ◽  
Ming Tian ◽  
Ai Zhi Li ◽  
Chun Lei Han ◽  
Ke Zhong Li
Keyword(s):  
Laparoscopic Surgery ◽  
Shoulder Pain ◽  
Prospective Observational Study ◽  
Conditional Logistic Regression ◽  
Specific Treatment ◽  
Clinical Problem ◽  
Pain Visual Analogue Scale ◽  
Risk Patients ◽  
Treatment Plans ◽  
Common Clinical Problem

AbstractPostlaparoscopic shoulder pain (PLSP) is a common clinical problem that needs to be addressed by medical professionals who are currently perform laparoscopic surgeries. The purpose of this study was to determine the perioperative clinical factors and demographic characteristics associated with PLSP. A prospective observational study was performed with 442 inpatients undergoing laparoscopic surgery for infertility. The pain visual analogue scale was used as the measuring instrument. To identify the predictors of PLSP, we performed multivariate conditional logistic regression. PLSP was correlated with body mass index (BMI, odds ratio = 0.815). The incidence of shoulder pain and more severe shoulder pain in patients with a lower BMI was significantly higher than it was in patients with a higher BMI, and BMI was significantly negatively correlated with PLSP. Most of the patients (95%) began to experience shoulder pain on the first postoperative day, and it rarely occurred on the day of surgery. Patients with lower BMI presented a higher risk of reporting shoulder pain on the first postoperative day. We should identify high-risk patients in advance and make specific treatment plans according to the characteristics of their symptoms.

scholarly journals Strategies-Based ESP Instruction (SBI) of Reading Comprehension: Male vs. Female Students

2012 ◽  
Vol 4 (2) ◽  
pp. 171
Author(s):  
Seyyed Hossein Kashef ◽  
Ayoob Damavand ◽  
Azizollah Viyani
Keyword(s):  
Reading Comprehension ◽  
Female Students ◽  
Male Students ◽  
Effective Strategies ◽  
Reading Comprehension Instruction ◽  
Comprehension Ability ◽  
And Gender ◽  
Method Of Instruction ◽  
Based Instruction ◽  
Age Range

The present study aimed at exploring the effect of a Strategies-Based Instruction (SBI) on improving male and female students' reading comprehension ability in an ESP context. The main assumption was that SBI would be more successful in developing reading comprehension of females compared to male students through using effective strategies and skills delivered in SBI method. The participants, within the age range of 18-22, included 24 male and 26 female students who were an intact experimental group. Following a pretest, treatment (15 weeks, 2 sessions per week), and a posttest, the obtained data was analyzed using ANOVA to examine the effects of the independent variables, namely, method of instruction and gender. The results of the analysis showed that although the teaching intervention had a significant effect on students' reading comprehension, gender’s effect was not significant. The findings are discussed in relation to effective reading comprehension instruction through the use of cognitive and metacognitive strategies in ESP teaching contexts.

Prolonged right ventricular ejection delay identifies high risk patients and gender differences in Brugada syndrome

2015 ◽  
Vol 191 ◽  
pp. 90-96 ◽  
Author(s):  
Sophie C.H. Van Malderen ◽  
Dirk Kerkhove ◽  
Dominic A.M.J. Theuns ◽  
Caroline Weytjens ◽  
Steven Droogmans ◽  
...  
Keyword(s):  
Gender Differences ◽  
High Risk ◽  
Right Ventricular ◽  
Brugada Syndrome ◽  
Ventricular Ejection ◽  
High Risk Patients ◽  
Risk Patients ◽  
And Gender

scholarly journals The impact of the incorporation of a feasible postoperative mortality model at the Post-Anaesthestic Care Unit (PACU) on postoperative clinical deterioration: A pragmatic trial with 5,353 patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0257941
Author(s):  
Claudia de Souza Gutierrez ◽  
Katia Bottega ◽  
Stela Maris de Jezus Castro ◽  
Gabriela Leal Gravina ◽  
Eduardo Kohls Toralles ◽  
...  
Keyword(s):  
Quality Improvement ◽  
High Risk ◽  
Clinical Deterioration ◽  
Surgical Patients ◽  
Predictive Tool ◽  
Postoperative Death ◽  
High Risk Patients ◽  
Death Probability ◽  
Risk Patients ◽  
The Impact

Background Practical use of risk predictive tools and the assessment of their impact on outcome reduction is still a challenge. This pragmatic study of quality improvement (QI) describes the preoperative adoption of a customised postoperative death probability model (SAMPE model) and the evaluation of the impact of a Postoperative Anaesthetic Care Unit (PACU) pathway on the clinical deterioration of high-risk surgical patients. Methods A prospective cohort of 2,533 surgical patients compared with 2,820 historical controls after the adoption of a quality improvement (QI) intervention. We carried out quick postoperative high-risk pathways at PACU when the probability of postoperative death exceeded 5%. As outcome measures, we used the number of rapid response team (RRT) calls within 7 and 30 postoperative days, in-hospital mortality, and non-planned Intensive Care Unit (ICU) admission. Results Not only did the QI succeed in the implementation of a customised risk stratification model, but it also diminished the postoperative deterioration evaluated by RRT calls on very high-risk patients within 30 postoperative days (from 23% before to 14% after the intervention, p = 0.05). We achieved no survival benefits or reduction of non-planned ICU. The small group of high-risk patients (13% of the total) accounted for the highest proportion of RRT calls and postoperative death. Conclusion Employing a risk predictive tool to guide immediate postoperative care may influence postoperative deterioration. It encouraged the design of pragmatic trials focused on feasible, low-technology, and long-term interventions that can be adapted to diverse health systems, especially those that demand more accurate decision making and ask for full engagement in the control of postoperative morbi-mortality.

Invariant Model Combining Geometry and Appearance for Facial Detection and Gender Classification From Arbitrary Viewpoints

2017 ◽  
pp. 196-231
Author(s):  
Mokhtar Taffar ◽  
Serge Miguet
Keyword(s):  
Face Detection ◽  
Probabilistic Model ◽  
Facial Feature ◽  
Facial Appearance ◽  
Gender Classification ◽  
Invariant Model ◽  
Model Combining ◽  
Probabilistic Classification ◽  
Wide Range ◽  
And Gender

In this chapter, we tackle in the same process the problems of face detection and gender classification, where the faces present a wide range of the intra-class appearance are taken from arbitrary viewpoints. We try to develop complete probabilistic model to represent and learn appearance of facial objects in both shape and geometry with respect to a landmark in the image, and then to be able to predict presence and position of the appearance of the studied object class in new scene. After have predicted the facial appearance and the geometry of invariants, geometric hierarchical clustering combines different prediction of positions of face invariant. Then, the algorithm of cluster selection with a best appearance localizes faces in the image. Using a probabilistic classification, each facial feature retained in the detection step will be weighted by a probability to be male or female. This set of features contributes to determine the gender associated to a detected face. This model has a good performance in presence of viewpoint changes and a large appearance variability of faces.

scholarly journals Physicians’ Perceptions and Adherence to Guidelines for the Management of Hypertension: A National, Multicentre, Prospective Study

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Mamas Theodorou ◽  
Panagiotis Stafylas ◽  
Georgia Kourlaba ◽  
Daphne Kaitelidou ◽  
Nikos Maniadakis ◽  
...  
Keyword(s):  
Prospective Observational Study ◽  
Inappropriate Medication ◽  
Lifestyle Changes ◽  
Adherence To Guidelines ◽  
Hypertensive Patients ◽  
European Guidelines ◽  
Risk Patients ◽  
Esc Guidelines ◽  
To Receive ◽  
Multicentre Prospective Study

Background. The aim of the current study was to investigate physicians’ perceptions and adherence to the European guidelines for the management of hypertension.Methods. This is a national, multicentre, prospective, observational study, conducted between November 2007 and June 2008, in Cyprus. Consecutive hypertensive patients have been recruited by a random sample of physicians. The physicians’ recommendations for every single patient have been recorded and compared with the 2007 ESH/ESC guidelines.Results. Of the total of 654 patients, 477 (72.9%) were correctly advised by their physician to receive antihypertensive treatment to control their blood pressure, while 396 (60.5%) correctly got advices to adopt only lifestyle changes. The overall adherence of physicians to the European guidelines (overall agreement rate) was 70.4% (k=0.258,P<0.001). Of the total of 68 physicians, 65 (95.6%) reported that they were aware of some guidelines. There was no statistically significant effect of specific physicians’ characteristics on the overall adherence to guidelines, but there was in the percentage of patients achieving medication guidelines.Conclusions. The study demonstrated that although Cypriot physicians declared that they were aware of the clinical guidelines for the management of hypertension, more than one-fourth of high risk hypertensive patients remained untreated and 40% of low risk patients received inappropriate medication.

scholarly journals PENGARUH PENDIDIKAN KEWIRAUSAHAAN, PENGALAMAN BERWIRAUSAHA, DAN JENIS KELAMIN TERHADAP SIKAP BERWIRAUSAHA PADA MAHASISWA FAKULTAS EKONOMI UNIVERSITAS MUHAMMADIYAH SURABAYA

2017 ◽  
Vol 4 (1) ◽  
pp. 76
Author(s):  
Andhika Wahyudiono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Entrepreneurship Education ◽  
Multiple Linear Regression Analysis ◽  
And Gender ◽  
Gender Type

This study aims to determine the effect of entrepreneurship education, entrepreneurship experience, and gender of the entrepreneurship attitude either partially or simultaneously. The population in this study were students S1 class of 2012 and 2013 the Faculty of Economics, University of Muhammadiyah Surabaya consists of two majors, namely accounting and management which all are 206 students with a sample of 103 people. The data collection techniques used were questionnaires, interviews, and documentation. The method of analysis used multiple linear regression analysis. The results showed that entrepreneurship education, entrepreneurship experience, and the gender type have significant effect on the attitude of berwirusaha either partially or simultaneously

scholarly journals Multivariate regression analysis in the probability of deaths in COVID-19 cases: a case study in the State of Pará, Amazon region, Brazil

2020 ◽  
Vol 9 (11) ◽  
pp. e71291110299
Author(s):  
Cássio Pinho dos Reis ◽  
Herson Oliveira da Rocha ◽  
Nayara de Araújo Muzili Reis ◽  
Sávio Pinho dos Reis ◽  
Gustavo Nogueira Dias ◽  
...  
Keyword(s):  
Probabilistic Model ◽  
Odds Ratio ◽  
Multivariate Regression Analysis ◽  
The State ◽  
Metropolitan Region ◽  
Great Effort ◽  
Infected People ◽  
And Gender ◽  
The Impact

Since the first detected cases of COVID-19 in Brazil, researchers have made a great effort to try to understand the disease. Understanding the impact of the disease on people can be instrumental in identifying which groups can be considered at risk. Therefore, this study researches a probabilistic model based on a statistical model of non-linear regression analyzing the following variables: age, if you are a health professional, if you are resident in the Metropolitan Region of Belém (RMB), State of Pará and gender with the objective of identifying those people who have a greater impact on the number of people infected and killed by COVID-19, that is, people who are more likely to die. To carry out the research, we used the data of all infected people by COVID-19 in the State of Pará until July 2020. It can be verified according to the proposal of the probabilistic model that elderly people, with a odds ratio of 1.69 (95% CI 1.52-1.88), residents of Metropolitan Region of Belém, with an odds ratio of 2.14 (95% CI 2.02 - 2.27) and men, with an odds ratio of 1.83 (95% CI 1.73 - 1.95) are groups of people with a higher risk of dying from diseases, while health professionals, with a 0.36 chance ratio (CI9 5% 0.29 - 0.45), are less likely to die.

Sign in / Sign up

Export Citation Format

Share Document