Background: Chest pain is one of the most common reasons for emergency department (ED) visits. Patients presenting with inconclusive symptoms complicate the diagnostic process and add to the burden upon the ED. This study aimed to determine factors possibly influencing ED decisions on hospitalization versus discharge for patients with the diagnosis of chest pain. Methods: In the cohort study including 400 patients admitted to the emergency unit with a working diagnosis of chest pain, data on demographics, medical history, symptoms, lab results, and risk scores were collected from the medical records of patients admitted to the ED with a working diagnosis of chest pain. To reduce potential bias, the analysis was restricted to 330 patients who were referred to the ED by a primary care provider or clinic for chest pain. Results: Of 330 patients admitted to the ED, 58.5% were discharged, and 41.5% were hospitalized. Hospitalized patients were significantly older, with a median age of 70 versus 57 years for those discharged (p < 0.001). A higher proportion of hospitalizations occurred during the late-night shift. Significant predictors of hospitalization included hyperlipidemia (OR 3.246), diaphoresis (OR 8.525), dyspnea (OR 2.897), and hypertension (OR 1.959). Nursing home residents had a lower risk of hospitalization (OR 0.381). The area under the ROC curve for this model was 0.801 (95% CI: 0.753–0.848), indicating the predictive accuracy of the model in estimating the probability of admission. The HEART (history, ECG, age, risk factors, and troponin level) score was more effective than the TIMI (Thrombolysis in Myocardial Infarction) score in predicting the need for hospitalization, with an area under the curve (AUC) of 0.807 compared to 0.742 for TIMI. Conclusions: The HEART score in comparison with TIMI score proved especially valuable for quick risk assessment for hospitalization. The model that included hyperlipidemia, diaphoresis, dyspnea, and hypertension was the most predictive for the risk of hospitalization. Further research with larger populations is needed to validate these findings.

Background and Objectives: Older nursing-care patients are a clinically complex population with marked functional dependence, cognitive impairment, nutritional vulnerability, and multimorbidity. Although nursing-home residents are often considered at higher risk for adverse outcomes, many highly dependent older adults receive nursing care at home. Materials and Methods: This single-center retrospective cohort study included 501 nursing-care patients hospitalized between December 2022 and December 2023, of whom 334 were admitted from home and 167 from nursing homes. The primary outcome was in-hospital mortality; secondary outcomes included length of hospital stay, discharge destination, and 90-day post-discharge mortality among patients discharged alive. Longer-term survival analyses were exploratory. Demographic, clinical, functional, nutritional, laboratory, hospitalization, and mortality data were evaluated. Results: The median age was 85 years (IQR, 11), and 63.1% of patients were women. Patients admitted from home were older than those admitted from nursing homes (median 86 vs. 84 years; p = 0.036). Nursing-home patients more frequently presented with fever and infection-related diagnoses and had a higher prevalence of dementia (85.0% vs. 58.1%; p < 0.001), greater pressure-ulcer risk according to the Norton scale (p < 0.001), and greater nutritional vulnerability according to the MNA-mini (p = 0.007). Median length of stay did not differ significantly between groups (p = 0.755). In-hospital mortality was 23.7% in patients admitted from home and 18.6% in those admitted from nursing homes (p = 0.194). Among patients discharged alive, 90-day post-discharge mortality was 24.3% and 28.7%, respectively (p = 0.348). In the extended Cox model for 90-day post-discharge mortality, neither source of admission nor its time-dependent interaction was significantly associated with mortality (source of admission: HR, 0.831; 95% CI, 0.097–7.096; p = 0.865; time-dependent interaction: HR, 1.036; 95% CI, 0.573–1.873; p = 0.907). Conclusions: No statistically significant difference in in-hospital mortality was detected according to source of admission. Nursing-home patients had greater cognitive, nutritional, pressure-ulcer-risk, and infection-related vulnerability. These findings do not establish equivalence between groups and should be interpreted together with individual clinical characteristics.

Background: Overweight and obesity among physicians are increasingly recognized as relevant to workforce health, quality of care, and the credibility of lifestyle counseling delivered to patients. Physicians may face constraints that affect dietary patterns, physical activity, and daily routine, behaviors directly related to BMI. However, data linking specific lifestyle behaviors to BMI in this population remain limited. Objective: To examine associations between self‐reported health behaviors and BMI among physicians and outline implications for workplace wellness. Methods: Cross‐sectional online survey of physicians using the 26‐item Healthy Lifestyle and Personal Control Questionnaire (HLPCQ). Participants were categorized into normal weight (BMI < 25) and overweight or obesity (BMI ≥ 25) groups based on their BMI. Group differences and multivariable logistic regression were applied. Results: Of 200 respondents, 144 complete cases were analyzed; 54.2% had a BMI < 25. Higher BMI was associated with lower adherence to health‐promoting behaviors, notably Dietary Harm Avoidance ( p < 0.01), Daily Routine ( p = 0.05), and Organized Physical Exercise ( p = 0.03). Regression analysis identified Dietary Harm Avoidance and Organized Physical Exercise as protective factors against overweight and obesity ( p < 0.01). Physicians in surgical specialties reported lower health behavior scores than non‐surgical peers, particularly in Daily Routine ( p < 0.01) and in total lifestyle scores ( p = 0.01). Conclusions: Specific lifestyle behaviors, particularly dietary harm avoidance and organized physical activity, were associated with BMI among physicians. These associations may help inform future research on modifiable behavioral factors related to overweight and obesity among physicians.