Comorbidities are commonly seen in patients with coronavirus disease 2019 (COVID-19), but the clinical implication is not yet well-delineated. We aim to characterize the prevalence and clinical implications of comorbidities in patients with COVID-19. 相似文献
Robotic approaches have been steadily replacing laparoscopic approaches in metabolic and bariatric surgeries (MBS); however, their superiority has not been rigorously evaluated. The main goal of the study was to evaluate the 5-year utilization trends of robotic MBS and to compare to laparoscopic outcomes.
Methods
Retrospective analysis of 2015–2019 MBSAQIP data. Kruskal-Wallis test/Wilcoxon and Fisher’s exact/chi-square were used to compare continuous and categorical variables, respectively. Generalized linear models were used to compare surgery outcomes.
Results
The use of robotic MBS increased from 6.2% in 2015 to 13.5% in 2019 (N= 775,258). Robotic MBS patients had significantly higher age, BMI, and likelihood of 12 diseases compared to laparoscopic patients. After adjustment, robotic MBS patients showed higher 30-day interventions and 30-day readmissions alongside longer surgery time (26–38 min).
Conclusion
Robotic MBS shows higher intervention and readmission even after controlling for cofounding variables.
BACKGROUND/PURPOSE: The importance of accurate triage in Taiwan is becoming more apparent with the increasing number of emergency department (ED) patients, and resources for the National Health Insurance becoming constrained. This study compared the ability of the Taiwan triage system (TTS) and the standardized 5-level Emergency Severity Index (ESI) triage system to predict ED resource utilization. METHODS: Patients arriving at the ED were triaged by both TTS and by using a two-page checklist of ESI criteria during the 3-month study period. The ESI triage level was calculated independently to avoid bias. Disease category (trauma vs. nontrauma), length of stay (LOS) and hospitalization data were evaluated. RESULTS: A total of 3172 patients with both ESI and TWN evaluation were included. The distributions of ESI ratings within TTS level 1 were: ESI 1, 21.1%; ESI 2, 68.1%; ESI 3, 7.4%; ESI 4, 3.4%; ESI 5, 0%. For TTS level 3, they were: ESI 1, 0.1%; ESI 2, 26.2%; ESI 3, 39.5%; ESI 4, 27.5%; ESI 5, 6.8%. Hospitalization rates were 74.5%, 40.9% and 22.2% in TTS levels 1, 2 and 3, respectively; and were 96.2%, 47.0%, 30.9%, 6.7%and 6.6% in ESI levels 1, 2, 3, 4 and 5, respectively. TTS triaged more trauma patients as life-threatening/emergent condition than nontrauma patients (68.8% vs. 48.4%, p < 0.001). Triage by ESI, however, showed no significant difference in the percentage of trauma and nontrauma patients with highly acute conditions (44.2% vs. 46.6%, p = 0.230). Patients with ESI level 4 or 5 have significantly shorter ED LOS than those with ESI level 3. CONCLUSION: ESI produces more accurate discriminating patient acuity, ED LOS and hospitalization rate than TTS. Adopting a standardized 5-level triage tool might improve resource utilization planning of ED practice. 相似文献