COVID-19 Vaccine Intention Among Iranian Health Workers: Application of the HBM Model.

The study aimed to determine the application of the health belief model (HBM) in the acceptance of COVID-19 vaccination among health workers in 2021. The cross-sectional study was conducted on 3600 health workers from February to March 2021. Data was collected using a researcher-made questionnaire that included the intention to receive vaccines based on the health belief model constructs. Data were analyzed using descriptive statistics indicators, Chi-square, ANOVA test, and logistic regression model at a 95% confidence level. More than 62% of the participants intended to receive the vaccine. The odds of intention to receive the vaccine among people who worked in the health center and did not have a history of hospitalization due to COVID-19 disease were 1.50 and 2.10 units more than the others. Intention to receive the vaccine in individuals with high perceived sensitivity was 1.10 units. Furthermore, in terms of perceived benefits, self-efficacy, and cue-to-action constructs were 1.15, 1.34, and 1.65 units respectively. The rate of vaccine acceptance among Iranian health care workers was relatively good and the constructs of HBM in predicting the rate of intention to receive the vaccine had good applicability.

The Effects of the Obesity Paradox and In-Hospital and One-Year Outcomes in Patients With ST Elevation Myocardial Infarction (STEMI): Results From a STEMI Registry.

BACKGROUND: Obesity is strongly associated with increased cardiovascular diseases (CVD) and cardiovascular risk factors, such as diabetes mellitus, hypertension, and dyslipidemia. However, numerous studies have suggested the existence of an "obesity paradox" in which overweight and mildly obese patients often exhibit a better outcome than their leaner counterparts. Therefore, this study aimed to characterize the association between BMI and in-hospital and one-year outcomes. METHOD: This hospital-based research was conducted as a part of the Kermanshah STEMI Registry. Following the application of inclusion criteria, a total of 2,397 STEMI patients were evaluated. The data were collected using a standardized case report developed by the European Observational Registry Program (EORP). Body mass index (BMI) (kg/m2) was classified into underweight (<18.5), normal weight (18.5-24.9), overweight (25-29.9), class I/mild obese (30-34.9), and class II/extreme obese (≥35) categories. The independent predictors of the in-hospital and one-year outcomes were assessed using multivariable logistic regression models. RESULTS: Out of the 2397 patients, 43 (1.79%) were underweight, 934 (38.97%) were normal, 1038 (43.30%) were overweight, 322 (13.43%) were class I obese, and 60 (2.50%) were class II obese. The results of the crude analysis showed that class I obesity was protective against CV death (OR 0.50; 95% CI 0.30-0.84), MACE3 (MI, stroke, and death) (OR 0.47; 95% CI 0.29-0.76), and MACE5 (MACE3 plus unstable angina and heart failure) (OR 0.59; 95% CI 0.44-0.79). CONCLUSIONS: Multivariate adjustment eliminated the protective effect of class I obesity against death and MACE events. Therefore, it is possible that this protective effect does not exist and instead reflects the impact of confounding variables such as age.

Diagnostic Value of D-Dimer and INR in Patients Suspected to Have Prosthetic Valve Dysfunction

ABSTRACT Introduction: Prosthetic valve dysfunction is a potentially critical complication of heart valve replacement. An easy and quickly applicable diagnostic procedure is required for recognizing the prosthetic valve dysfunction. The purpose of this study was to prospectively define the diagnostic value of D-dimer and INR level in predicting prosthetic valve dysfunction. Methods: This cross-sectional study was performed in 70 patients suspected to have prosthetic valve dysfunction admitted to Imam Ali Hospital, affiliated with Kermanshah University of Medical Sciences (KUMS), Kermanshah Province, Iran. Cinefluoroscopy, as the gold standard diagnostic test, was used for the diagnosis of prosthetic valve dysfunction in enrolled patients. Two milliliters of blood from each patient were taken into a tube containing sodium citrate anticoagulant. To evaluate D-dimer, the cutoff value was set at 500 ng/ml. Also, to evaluate international normalized ratio (INR), the cutoff value was set at 2. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), and negative likelihood ratio (NLR) of the serum markers were used to describe predictive properties. Results: Of 70 patients, 27 (38.6%) were male and 43 (61.4%) were female, and the mean age was 54.67±15.11 years (range, 18 to 80 years). Of 70 patients, 27 (38.6%) had prosthetic heart valve malfunction demonstrable by fluoroscopy, and 19 patients (27.1%) had D-dimer levels >500 ng/ml. Elevated D-dimer levels (>500 ng/ml) have been indicated to have sensitivity of 70.4%, and hence an NPV of 84.3%, specificity of 100%, PPV of 100%, NLR of 0.3, and the infinity value of PLR for predicting prosthetic valve dysfunction. There was a significant relationship between fluoroscopy and D-dimer test (P=0.001). A kappa coefficient value of 0.745 indicated a substantial agreement between D-dimer and fluoroscopy testing. Mixing test (combination of D-dimer and INR) showed to have 100% sensitivity, and hence a NPV of 69.8%, specificity of 69.8%, PPV of 51.8%, NLR of 1.41, and PLR of 1.44 for predicting prosthetic valve dysfunction. Conclusion: D-dimer with moderate sensitivity and high specificity is an ideal marker for the diagnosis of prosthetic valve dysfunction in suspected patients. Enhanced plasma D-dimer level is not by itself diagnostic of a prosthetic valve dysfunction but may alert physicians to refer the patient for more detailed examination, preferably by fluoroscopy. Mixing test with 100% sensitivity can apply as a rule-out test.