| Sun-Kyung Hwang | 3 Articles |
Purpose
This study aimed to investigate the impact of physical performance and fear of falling on fall risk in patients with End-Stage Renal Disease (ESRD) undergoing hemodialysis. Methods: This study included 132 patients who regularly received hemodialysis treatment at outpatient clinics in B City from January to April 2022. Data were collected on demographic and clinical characteristics, physical performance (the Short Physical Performance Battery [SPPB]), fear of falling (the Korean Falls Efficacy Scale-International [KFES-I]), and fall risk (the Morse Fall Scale [MFS]). The collected data were analyzed using hierarchical multiple regression in the SPSS/WIN 25.0 program. Results: Thirty-eight patients (28.8%) had experienced accidental falls in the past year, with an average of 1.68 falls per patient. The average SPPB score was 7.89±3.55 (range, 0 to 12), the KFES-I score was 23.18±9.36 (range, 16 to 64), and the MFS score was 45.68±19.52 (range, 0 to 125). Fall risk showed a significant negative correlation with physical function (r=-.72, p<.001) and a significant positive correlation with fear of falling (r=.65, p<.001). Factors affecting the patients' fall risk included the level of serum intact parathyroid hormone (β=.15, p=.004), fear of falling (β=.24, p=.010), number of falls (β=.34, p<.001), and physical performance (β=-.41, p<.001). The regression model was statistically significant (F=22.71, p<.001), with an explanatory power of 64.9%. Conclusion: To prevent accidental falls in ESRD patients undergoing hemodialysis treatment, it is necessary to develop and apply interventions that can enhance physical performance and reduce the fear of falling. Citations Citations to this article as recorded by
Purpose
This study aimed to verify the potential use of postoperative pulmonary complications prediction models in patients with lung resection. Methods In this retrospective study, 1,160 patients were selected among the admitted patients who underwent lung resection surgery. The predictive validity of the Assess Respiratory Risk in Surgical Patients in Catalonia Tool (ARISCAT) and the Pulmonary Complications Risk Score (PCRS)-lung resection model were assessed based on the sensitivity, specificity, positive and negative predictive values, and Area Under the receiver operating characteristic Curve (AUC). Results Of the patients, 420 (36.2%) developed postoperative pulmonary complications after lung resection surgery within 30 days. The sensitivity, specificity, positive predictive values, and negative predictive values were 52.2%, 70.6%, 49.0%, and 74.0%, respectively, for the ARISCAT (cut-off point of 47), and 53.8%, 78.5%, 15.3%, and 95.9%, respectively, for the PCRS-lung resection model (cut-off point of 147). The AUCs were 0.65 (ARISCAT) and 0.70 (PCRS-lung resection model). Conclusion The findings indicate that the predictive validity values of the ARISCAT was sufficient, and the PCRS-lung resection model was good. However, the clinical usefulness of the models should be verified in future studies.
Purpose
During hospitalization, sleep can be disturbed and the quality reduced. This study investigated the effect of applying white noise on hospitalized patients for improving their sleep quality. Methods: In a randomized controlled trial design, participants were randomly assigned to an experimental group (n=30) or a comparison group (n=31), enrolled from rehabilitation medicine wards at a university hospital in South Korea. For three days of the intervention, the experimental group listened to white noise for one hour before sleep. The comparison group wore only earplugs before sleep. Sleep quality was assessed by the Verran and Snyder-Halpern (VSH) sleep scale as a subjective measure and the Fitbit ® wrist band monitor as an objective measure. Data were collected pre- and three days post-intervention. Data were analyzed by repeated measures ANOVA using SPSS/WIN 22.0 program. Results: The white noise group showed positive effects on subjective sleep quality (p<.001) compared to the earplug group. Among the objective sleep quality measures, sleep time (p<.001) and sleep efficiency (p=.003) were statistically significant, but there were no statistically significant differences in time of awakening, number of awakening, time of restless and number of restless. Conclusion: Findings indicate that applying white noise could be considered as a useful nursing intervention to improve subjective and objective sleep quality in hospitalized patients. Citations Citations to this article as recorded by
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