Assessment Of Various Risk Factors Research Articles

Research on risk factor filtering and rating of cold chain logistics from the perspective of root-state risk identification.

The natural attributes of perishable and vulnerable cold chain products make the cold chain have more risks than the general supply chain. The attribute characteristics and internal relations of various risks increase the complexity of risk analysis. The purpose of this paper is to study the horizontal and vertical assessment of various risk factors. The multi-dimensional risk measurement model is used to integrate the assessment of multiple risk factors of human, machine, environment, and management, and the cold chain risk management is discussed from the perspective of risk factor classification. The root-state risk identification (RSRI) method was used to identify potential risks. Based on the double standard filtering and multiple criteria, the filtering of irrelevant risks and screening of uncontrollable risks were evaluated, and the triangular fuzzy number method was used to quantitatively evaluate the controllable risk factors. A total of 223 potential risks, 18 important risks, and 6 key risks were identified, followed by inspection and quarantine reports, pesticide residues, improper loading and unloading operations, unqualified centralized environment, unqualified pre-cooling technology of carriages, and unreasonable storage temperature. According to the analysis results, targeted control measures are proposed to better prevent risks and reduce the probability of cold chain accidents. The traditional risk assessment method can only assess the impact of a single risk factor on the system. This assessment method overcomes this limitation and provides a new perspective for cold chain risk management. PRACTICAL APPLICATION: This study laid the foundation for further risk safety management of cold chain logistics.

A robust framework for enhancing cardiovascular disease risk prediction using an optimized category boosting model.

Cardiovascular disease (CVD) is a leading cause of mortality worldwide, and it is of utmost importance to accurately assess the risk of cardiovascular disease for prevention and intervention purposes. In recent years, machine learning has shown significant advancements in the field of cardiovascular disease risk prediction. In this context, we propose a novel framework known as CVD-OCSCatBoost, designed for the precise prediction of cardiovascular disease risk and the assessment of various risk factors. The framework utilizes Lasso regression for feature selection and incorporates an optimized category-boosting tree (CatBoost) model. Furthermore, we propose the opposition-based learning cuckoo search (OCS) algorithm. By integrating OCS with the CatBoost model, our objective is to develop OCSCatBoost, an enhanced classifier offering improved accuracy and efficiency in predicting CVD. Extensive comparisons with popular algorithms like the particle swarm optimization (PSO) algorithm, the seagull optimization algorithm (SOA), the cuckoo search algorithm (CS), K-nearest-neighbor classification, decision tree, logistic regression, grid-search support vector machine (SVM), grid-search XGBoost, default CatBoost, and grid-search CatBoost validate the efficacy of the OCSCatBoost algorithm. The experimental results demonstrate that the OCSCatBoost model achieves superior performance compared to other models, with overall accuracy, recall, and AUC values of 73.67%, 72.17%, and 0.8024, respectively. These outcomes highlight the potential of CVD-OCSCatBoost for improving cardiovascular disease risk prediction.

Assessment of Various Risk Factors for Biological and Mechanical/Technical Complications in Fixed Implant Prosthetic Therapy: A Retrospective Study.

The study group consisted of 67 edentulous patients (mean age: 63.88 ± 11.709 yrs; 20 males, 47 females) with implant prosthetic therapy for posterior edentulism. A total of 76 implant-supported fixed partial dentures (IP-FPDs) and 178 implants were assessed using clinical and paraclinical assessments. Risk factors for biological complications (peri-implantitis) and technical complications were determined by using the Pearson Chi-squared test and multivariate analysis. The implant success (the absence of biological and mechanical/technical complications) was 66.30%. The prevalence of biological complications was 13.5%. The prevalence of technical complications was 28.70%. Variables that were associated with a higher risk of peri-implantitis were poor oral hygiene and bruxism. In univariate analysis, poor oral hygiene increased the risk of peri-implantitis 5.778 times and bruxism 5.875 times. Variables that were associated with a higher risk of mechanical/technical complications were age group > 60 yrs, smoking, history of periodontal disease, and bruxism. In univariate analysis, the risk of technical complications increased 4.14 times for patients in the age group > 60 years (vs. age group 40-60 years) and 20.5 times for patients with bruxism. Bruxism and smoking were significant predictors of mechanical/technical complications in the multivariate model. In univariate models, patients with poor oral hygiene and bruxism have an increased risk of peri-implantitis. In multivariate models, we did not identify significant predictors of peri-implantitis. Age group > 60 yrs, smoking, history of periodontal disease, bone grafting, and bruxism are risk factors for the increase in the mechanical/technical complication rate. In the multivariate model, smoking and bruxism are significant predictors of the mechanical/technical complications.

OGBN P17 Preoperative scoring system in predicting difficulty in laparoscopic cholecystectomy

Abstract Background For a long time now, laparoscopic cholecystectomy (LC) has been the gold standard treatment for gallstone disease. Having said that, approximately 2–15% of attempted LCs have to be converted to an open procedure due to various difficulties faced while performing the procedure. This study has been structured and planned taking into account the various difficult situations a laparoscopic surgeon faces during laparoscopic cholecystectomy and assigns an objective outlook to the difficulty in the form of a difficulty score. The main objective of the study is to evaluate a scoring system in predicting difficulty in laparoscopic cholecystectomy. Methods Patients with symptomatic gallstone disease that were admitted in SU-1 of Holy family hospital during the above period were included in the study. For collection of data, a pre-tested questionnaire was used after taking informed oral consent. On admission, one day before the surgery, preoperative points were allotted on basis of patient's history, examination, hematological (CBC), biochemical (LFTs) and ultrasound results. Preoperative scores up to 5 was summed up as easy, scores 6–10 as difficult, 11–16 as very difficult. Calculated sample size was 229. SPSS version 22 and WHO Anthro calculator version 3.2.2 were used for data entry and analysis Results Among 230 patients that were included in the study, 188 were female and 42 were male. Various risk factors were found to have significant positive correlation with intraoperative difficulty during cholecystectomy. These are: Previous episodes of cholecystitis and pancreatitis (p=0.00), ERCP (p=0.00), tenderness in right hypochondrium (p=0.002), hepatitis serology (p=0.02), and Total Leukocyte Count (p=0.006). Whereas the following factors had insignificant relation with intraoperative difficult cholecystectomy: ALT and ALP (p>0.05, p=0.06 and 0.26 respectively) and hepatitis serology (p=0.406). A significant correlation was found between preoperative and intraoperative scores of the patients (p=0.003) indicating that preoperative assessment of various risk factors can predict the level of difficulty of cholecystectomy and its conversion to open cholecystectomy. Conclusions We may conclude that the scoring system evaluated in our study is a sturdy, reliable and useful benchmark to predict difficult cases. Preoperative prediction of the risk factors of conversion or difficulty of operation is an important point for operative planning and the high-risk patients may be informed accordingly.

Risk Factors Distribution for Cardiovascular Diseases among High School Students

Background and Aim: Cardiovascular diseases (CVDs) are the chronic non-communicable diseases and leading cause of mortality due to various risk factors such as diabetes, tobacco usage, hypertension, obesity, dyslipidemia, and physical inactivity. The incidence of CVDS is rising rapidly due to these risk factors. These risk factors track at different ages starting from childhood to adulthood and their distribution varies with gender. Therefore, the prevalence of these risk factors among high school students need to be determined. The present study aimed to assess the different risk factor’s distribution for cardiovascular diseases. Methodology: This cross-sectional study was carried out among 940 high school students (aged 12-18 years) of Nowshera Pakistan from September, 2020 to December, 2021. Random sampling technique and WHO steps methodology was used for the assessment of various risk factors. All the randomly selected participants were recruited conventionally. Descriptive statistics was used to measure the risk factors distribution among high school students. SPSS version 24 was used for data analysis. Results: The overall mean age of the students was 15.8±1.4 years whereas age varied from 12 years to 18 years. Of the total 940 students, about 59% (n=555) were boys and 41% (n=385) were girls. The prevalence of tobacco, overweight, and hypertension among boys were 33.2%, 12.1%, 7.2%, and 17.6% (P< 0.001) respectively. However, their prevalence among girls were 7.1%, 1.4%, 12.2%, and 23.8% (P<0.001) respectively. The hypercholesterolemia was found higher among boys whereas girls had more prevalent high triglycerides levels compared to boys. Conclusion: The present study found a higher incidence of risk factors for cardiovascular diseases among high school students. These risk factors need to be reduced to control cardiovascular diseases among the young population. Also, this study found a poor profile of various risk factors for cardiovascular disease that require future nation-wide investigation to clarify the precise findings. Keywords: Cardiovascular disease, Risk factors, Hypertension

Preoperative scoring system in predicting difficulty in laparoscopic cholecystectomy.

Objective: To evaluate a scoring system in predicting difficulty in laparoscopic cholecystectomy. Study Design: Non-Randomized Prospective study. Setting: Surgical Unit-1 of Holy Family Hospital, Rawalpindi. Period: January 2018 to September 2018. Material & Methods: Patients with symptomatic gallstone disease that were admitted in SU-1 of Holy family hospital during the above period were included in the study. For collection of data, a pre-tested questionnaire was used after taking informed oral consent. On admission, one day before the surgery, preoperative points were allotted on basis of patient’s history, examination, hematological (CBC), biochemical (LFTs) and ultrasound results. Preoperative scores up to 5 was summed up as easy, scores 6 – 10 as difficult, 11 – 16 as very difficult. Calculated sample size was 229. SPSS version 22 and WHO Anthro calculator version 3.2.2 were used for data entry and analysis. Results: Among 230 patients that were included in the study, 188 were female and 42 were male. Various risk factors were found to have significant positive correlation with intraoperative difficulty during cholecystectomy. These are: Previous episodes of cholecystitis and pancreatitis (p=0.00), ERCP (p=0.00), tenderness in right hypochondrium (p=0.002), hepatitis serology (p=0.02), and Total Leukocyte Count (p=0.006). Whereas the following factors had insignificant relation with intraoperative difficult cholecystectomy: ALT and ALP (p>0.05, p=0.06 and 0.26 respectively) and hepatits serology (p=0.406). A significant correlation was found between preoperative and intraoperative scores of the patients (p=0.003) indicating that preoperative assessment of various risk factors can predict the level of difficulty of cholecystectomy and its conversion to open cholecystectomy. Conclusion: We may conclude that the scoring system evaluated in our study is a sturdy, reliable and useful benchmark to predict difficult cases. Preoperative prediction of the risk factors of conversion or difficulty of operation is an important point for operative planning and the high-risk patients may be informed accordingly.

The study of assessment of various risk factors for development of coronary heart disease among patients visiting Cardiology Clinic in a tertiary care centre

Aim: To assess various risk factors for development of CHD among patients. \Methodology: Seventy- eight patients of either sex were included. Various parameters such as age, gender, cardiac markers, family history, history of alcohol intake and smoking was recorded. Results: There were 32 patients >45 years of age and 46 below 45 years of age. Out of 78 patients, females were 27 and males were 51. It was found that 26 had primary education, 37 had secondary and 15 had higher education. 38 were employed and 40 were non- employed. 42 were married and 36 were unmarried. Family history was positive in 51 and negative in 26. 20 had hypertension, 36 had CHD and 22 had both HTN & CHD. 45 had habit of smoking, 47 had alcoholism and 40 had no physical activity. A significant difference was observed (P< 0.05). Conclusion: Common risk factors for CHD was obesity, hyperglycaemia, family history, high LDL- C, ALT level, smoking, alcoholism and lack of physical activity.

Clinical Manifestation and Predictors of Mortality in Severe Malaria in Children

The objective of present study is to recognizing risk factors those are associated with poor outcome in children with severe malaria. A Prospective observational study was set in Pediatric Intensive Care Unit of tertiary care hospital. A 170 cases of severe malaria between the age group of 6 months to 12 years of either sex with confirmed slide positivity for malaria parasite who satisfied WHO 2000 criteria for severe malaria were enrolled, after approval from institutional ethical committee and parent's informed consent. Detail clinical evaluation was done including assessment of various risk factors like respiratory distress syndrome, multiorgan dysfunction, hypoglycemia, jaundice, renal failure, impaired conscious, cerebral malaria, spontaneous bleeding, hyperparasitemia, shock and severe anaemia. Case fatality ratio was 19.4% and maximum in the age group between 6 months to 2 years. A MODS was most significant variable associated with poor outcome followed by shock, coma and bleeding tendency. MODS, shock, cerebral malaria and bleeding tendency are significant variable predicting poor outcome with severe malaria.

Assessment of Various Risk Factors for Success of Delayed and Immediate Loaded Dental Implants: A Retrospective Analysis.

Ever since its introduction in 1977, a minimum of few months of period is required for osseointegration to take place after dental implant surgery. With the passage of time and advancements in the fields of dental implant, this healing period is getting smaller and smaller. Immediate loading of dental implants is becoming a very popular procedure in the recent time. Hence, we retrospectively analyzed the various risk factors for the failure of delayed and immediate loaded dental implants. In the present study, retrospective analysis of all the patients was done who underwent dental implant surgeries either by immediate loading procedure or by delayed loading procedures. All the patients were divided broadly into two groups with one group containing patients in which delayed loaded dental implants were placed while other consisted of patients in whom immediate loaded dental implants were placed. All the patients in whom follow-up records were missing and who had past medical history of any systemic diseases were excluded from the present study. Evaluation of associated possible risk factors was done by classifying the predictable factors as primary and secondary factors. All the results were analyzed by Statistical Package for the Social Sciences (SPSS) software. Kaplan-Meier survival analyses and chi-square test were used for assessment of level of significance. In delayed and immediate group of dental implants, mean age of the patients was 54.2 and 54.8 years respectively. Statistically significant results were obtained while comparing the clinical parameters of the dental implants in both the groups while demographic parameters showed nonsignificant correlation. Significant higher risk of dental implant failure is associated with immediate loaded dental implants. Tobacco smoking, shorter implant size, and other risk factors play a significant role in predicting the success and failure of dental implants. Delayed loaded dental implant placement should be preferred as they are associated with decreased risk of implant failure.

Detection of Theileria species infecting equine population in Punjab by 18S rRNA PCR

Present study demonstrates the prevalence and risk factors of infection to equines with Theileria species in Punjab, (India). The prevalence by thin blood film examination and Polymerase chain reactions based molecular assay was 4.17 and 33.33%, respectively. PCR targeting 18S rRNA gene of Theileria sp. produced high fidelity 1,100 bp amplification products with 100% sensitivity to blood films. The assessment of various risk factors revealed the prevalence of Theileria sp. to be uniformly distributed in equine population; the age of host animal being apparently the most influential factor for infection (Odds ratio= 1.6154, P= 0.41). The multiple sequence alignment revealed that the primer pair used could perceive the presence of wide range of species of Theileria genus; however the phylogenetic analysis of the custom sequenced amplicons clustered in one node with diverse Theileria equi isolates indicating the evolutionary homology.

Assessing the risk of hip fracture in older people

A thorough assessment of various risk factors can reduce the chance of hip fracture, says Jan Beynon