共查询到19条相似文献，搜索用时 15 毫秒
1.
2.
3.
Evan P. Kransdorf Hirsch S. Mehta Keyur B. Shah Darko Vucicevic Eugene C. DePasquale Livia Goldraich Agnieszka Ciarka Marco Masetti Jong-Chan Youn Claire Irving Feras Khaliel Martin Schweiger Patricia Uber Mandeep R. Mehra Josef Stehlik 《The Journal of heart and lung transplantation》2017,36(10):1027-1036
4.
Michael Yaoyao Yin Omar Wever-Pinzon Mandeep R. Mehra Craig H. Selzman Alice E. Toll Wida S. Cherikh Jose Nativi-Nicolau James C. Fang Abdallah G. Kfoury Edward M. Gilbert Line Kemeyou Stephen H. McKellar Antigone Koliopoulou Muthiah Vaduganathan Stavros G. Drakos Josef Stehlik 《The Journal of heart and lung transplantation》2019,38(8):858-869
5.
6.
Luke A. Martin Julie A. Kilpatrick Ragheed Al-Dulaimi Mary C. Mone Joseph E. Tonna Richard G. Barton Benjamin S. Brooke 《Surgery》2019,165(2):373-380
Background
Unplanned intensive care unit readmission within 72 hours is an established metric of hospital care quality. However, it is unclear what factors commonly increase the risk of intensive care unit readmission in surgical patients. The objective of this study was to evaluate predictors of readmission among a diverse sample of surgical patients and develop an accurate and clinically applicable nomogram for prospective risk prediction.Methods
We retrospectively evaluated patient demographic characteristics, comorbidities, and physiologic variables collected within 48 hours before discharge from a surgical intensive care unit at an academic center between April 2010 and July 2015. Multivariable regression models were used to assess the association between risk factors and unplanned readmission back to the intensive care unit within 72 hours. Model selection was performed using lasso methods and validated using an independent data set by receiver operating characteristic area under the curve analysis. The derived nomogram was then prospectively assessed between June and August 2017 to evaluate the correlation between perceived and calculated risk for intensive care unit readmission.Results
Among 3,109 patients admitted to the intensive care unit by general surgery (34%), transplant (9%), trauma (43%), and vascular surgery (14%) services, there were 141 (5%) unplanned readmissions within 72 hours. Among 179 candidate predictor variables, a reduced model was derived that included age, blood urea nitrogen, serum chloride, serum glucose, atrial fibrillation, renal insufficiency, and respiratory rate. These variables were used to develop a clinical nomogram, which was validated using 617 independent admissions, and indicated moderate performance (area under the curve: 0.71). When prospectively assessed, intensive care unit providers’ perception of respiratory risk was moderately correlated with calculated risk using the nomogram (ρ: 0.44; P < .001), although perception of electrolyte abnormalities, hyperglycemia, renal insufficiency, and risk for arrhythmias were not correlated with measured values.Conclusion
Intensive care unit readmission risk for surgical patients can be predicted using a simple clinical nomogram based on 7 common demographic and physiologic variables. These data underscore the potential of risk calculators to combine multiple risk factors and enable a more accurate risk assessment beyond perception alone. 相似文献7.
Dirk Van Raemdonck Matthew G. Hartwig Marshall I. Hertz R. Duane Davis Marcelo Cypel Don Hayes Steve Ivulich Jasleen Kukreja Erika D. Lease Gabriel Loor Olaf Mercier Luca Paoletti Jasvir Parmar Reinaldo Rampolla Keith Wille Rajat Walia Shaf Keshavjee 《The Journal of heart and lung transplantation》2017,36(10):1121-1136
8.
9.
10.
11.
12.
13.
Hachem RR Edwards LB Yusen RD Chakinala MM Alexander Patterson G Trulock EP 《Clinical transplantation》2008,22(5):603-608
Abstract: Background: The use of induction immunosuppression after lung transplantation remains controversial. In this study, we examined the impact of induction on survival after lung transplantation. Methods: We performed a retrospective cohort study of 3970 adult lung transplant recipients reported to the ISHLT Registry. We divided the cohort into three groups based on the use of induction: none, interleukin‐2 receptor antagonists (IL‐2 RA), and polyclonal antithymocyte globulins (ATG). We estimated graft survival using the Kaplan‐Meier method and constructed a multivariable Cox proportional hazards model to examine the impact of induction on graft survival in the context of other variables. Results: During the study period, 2249 patients received no induction, 1124 received IL‐2 RA, and 597 received ATG. Four years after transplantation, recipients treated with IL‐2 RA had better graft survival (64%) than those treated with ATG (60%) and those who did not receive induction (57%; log rank p = 0.0067). This survival advantage persisted in the multivariable model for single and bilateral recipients treated with IL‐2 RA compared to those who did not receive induction (RR = 0.82, p = 0.007). Similarly, bilateral recipients treated with ATG had a survival advantage over bilateral recipients who did not receive induction (RR = 0.78, p = 0.043), but single lung recipients treated with ATG did not have a survival advantage over single lung recipients who did not receive induction (RR = 1.06, p = 0.58). Conclusions: Induction with lL‐2 RA for single and bilateral lung recipients and induction with ATG for bilateral recipients are associated with a survival benefit, independent of other variables that might impact survival. 相似文献
14.
15.
16.
Duration of corticosteroid use and long‐term outcomes after adult heart transplantation: A contemporary analysis of the International Society for Heart and Lung Transplantation Registry 
下载免费PDF全文
下载免费PDF全文 Livia A. Goldraich Josef Stehlik Wida S. Cherikh Leah B. Edwards Read Urban Anne Dipchand Heather J. Ross 《Clinical transplantation》2018,32(8)
17.
18.
19.
Nancy Law Bassem Hamandi Christine Fegbeutel Fernanda P. Silveira Erik A. Verschuuren Piedad Ussetti Peter V. Chin-Hong Amparo Sole Chien-Li Holmes-Liew Eliane M. Billaud Paolo A. Grossi Oriol Manuel Deborah J. Levine Richard G. Barbers Denis Hadjiliadis Muhammad Younus Jay Aram Cecilia Chaparro Shahid Husain 《The Journal of heart and lung transplantation》2019,38(9):963-971