Occupational exposure of healthcare workers to blood and body fluids following skin injury constitutes a risk for transmission of blood-borne pathogens. The risk of exposure is greater as well. The present study aimed to determine the burden and risk factors of sharp object injuries in two tertiary hospitals in the Taif City KSA. Retrospective review of needle stick injury records was included from the two hospital's staff clinics. A Total of 131 health professionals (employees) recorded as exposed to sharp object injuries from both hospitals were enrolled during period 2016–2018. The collected data was cleaned, reviewed and analyzed using Statistical Package of Social Sciences SPSS ver. 25. The result of the study revealed that, the mean age for the 131 enrolled participants was 31 ± 6.6, Male to Female Ratio was 1:3. The most affected age group was 20–30 years (55.7%). Females were more affected 98 out of 131 (74.8%) than male (33out of 131 (25.2%). And there is increasing incidence rates of exposure from 2.89 /10.000 patient/day in 2016 to 3.42/ 10.000 patients'/day in 2017, with highest exposed nationalities; Filipino 42 (32.1%), Saudi 31 (23.7%), and Indians 26 (19.8%), the remaining 24.5% were from 10 mixed nationalities. The frequent affected divisions were: ER, surgical ward, operation room, ICU, laboratory, Medical W, Medical waste facilities (19.8%, 15%, 12.2%, 9.2%, 92% respectively). The most affected HCWs categories were nurses 74(56.5%), doctor 23(17.6%) and housekeeping 18 (13.7%). And the needle prick 104(79.4%) and cut wound 15(11.5%) constitute the highest type of injuries and were during operation 23 (17.6%), waste collection 15 (11.5%), cannulation 12 (9.2%) and giving injection 12 (9.2%). The common devices caused injuries were bore hole needle 63(48.1%), suture needle **(13.7%), cannula and insulin syringe 13 (9.9%) each. This study concluded that, as from 2016−2018, there was an increasing rate of reported accidental exposure to sharp needle injuries amongst HCWs from 3.0 to 3.4/10.000 patient/day, and the younger and nurses were mostly impacted. Workplace, distress, work types and load had influences on injuries rates and types. Fortunately, no exposure among employee with HBV, HCV and HIV seroconversion were documented.

Analysis through logistic regression explored to investigate the relationship between binary or multivariable ordinal response probability and in one or more explanatory variables. The main objectives of this study to investigate advanced prediction risk factor of Coronary Heart Disease (CHD) using a logit model. Attempts made to reduce risk factors, increase public or professional awareness. Logit model used to evaluate the probability of a person develop CHD, considering any factors such as age, gender, high low-density lipoprotein (LDL) cholesterol, low high-density lipoprotein (HDL) cholesterol, high blood pressure, family history of CHD younger than 45, diabetes, smoking, being post-menopausal for women and being older than 45 for men. Logit concept of brief statistics described with slight modification to estimate the parameters testing for the significance of the coefficients, confidence interval fits the simple, multiple logit models. Besides, interpretation of the fitted logit regression model introduced. Variables showing best results within the scientific context, good explanation data assessed to fit an estimated logit model containing chosen variables, this present experiment used the statistical inference procedure; chi-square distribution, likelihood ratio, Score, or Wald test and goodness-of-fit. Health promotion started with increased public or professional awareness improved for early detection of CHD, to reduce the risk of mortality, aimed to be Saudi vision by 2030.

T2DM is a long-term metabolic disorder characterized by either the pancreas' inability to produce enough insulin or the body's inability to properly utilize the insulin it produces. The β-cell function and blood glucose homeostasis are two areas where TCF7L2 (Transcription factor 7 like 2) appears to be a significant candidate gene. KCNQ1 (potassium voltage-gated channel subfamily, member 1 has been discovered as a T2DM susceptibility gene in Asian populations by genome-wide association studies with rs2237892 polymorphism and an increased risk of developing T2DM. The aim of this study was to investigate the association between rs7903146 and rs2237892 SNP studies in T2DM patients. In this study, 60 T2DM cases and 60 controls were selected. Genotyping was performed for rs7903146 and rs2237892 SNPs using specific primers and restriction enzymes, then all PCR products were loaded on an agarose gel stained with ethidium bromide. The current study results confirmed rs7903146 SNP was strongly associated with genotype (OR-4.14; 95%CI:1.07-15.98; p=0.02) and allele frequencies (OR-4.60; 95%CI:1.66-12.70; p=0.001) whereas in rs2237892 SNP was not associated with any of the genotypes (OR-4.29; 95%CI:0.46-39.58; p=0.16; OR-3.21) or allele frequencies (OR-6.26; 95%CI:0.74-52.83; p=0.055). The current study results were found to be associated with global studies carried out in rs7903146 and rs2237892 SNP. The strength of this current study was to involve Saudi nationalities and we have screened rs7903146 and rs2237892 SNPs which plays a major role in T2DM. Involving 60 T2DM cases/60 controls was the major limitation of this study. Missing validation through Sanger sequencing analysis was one of the limitations of this study. In conclusion, the current study results confirmed rs7903146 SNP was strongly associated with T2DM and rs2237892 SNP was not associated with T2DM patients.

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Objectives: This study aimed to explore the benefits of utilizing existing hospital discharged data to identify causes of hospitalization from 2005-2014 in an attempt to illustrate the benefits of such data and lay the basis for the regular use of these data in the future. Methods:A retrospective hospital-based studyconducted at a tertiary hospital, Taif, Saudi Arabia.All discharges and day surgeries from 2005 to 2014 were included in the study. Data was obtained from the hospital's electronic system. Results:The total number of discharges was 240,241. The mean patient age was 32 years. The main causes of hospitalization were Injuries, including those from transport accidents, with 17,572(15.3%) cases, followed by diabetes mellitus and hypertensive heart disease with 5463 (4.7%) and 4631 (4%) respectively.Injuries remained the number one cause of hospitalization over the 10 years. Conclusion:Existing hospital electronic data can provide valuable information that can be used for health care planning and research. Injuries, non-communicable diseases, and neonatal conditions were among the most common causes of hospitalization.