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101.
Steven G. Coca Amit X. Garg Heather Thiessen-Philbrook Jay L. Koyner Uptal D. Patel Harlan M. Krumholz Michael G. Shlipak Chirag R. Parikh 《Journal of the American Society of Nephrology : JASN》2014,25(5):1063-1071
Urinary biomarkers of AKI provide prognostic value for in-hospital outcomes, but little is known about their association with longer-term mortality after surgery. We sought to assess the association between kidney injury biomarkers and all-cause mortality in an international, multicenter, prospective long-term follow-up study from six clinical centers in the United States and Canada composed of 1199 adults who underwent cardiac surgery between 2007 and 2009 and were enrolled in the Translational Research in Biomarker Endpoints in AKI cohort. On postoperative days 1–3, we measured the following five urinary biomarkers: neutrophil gelatinase-associated lipocalin, IL-18, kidney injury molecule-1 (KIM-1), liver fatty acid binding protein, and albumin. During a median follow-up of 3.0 years (interquartile range, 2.2–3.6 years), 139 participants died (55 deaths per 1000 person-years). Among patients with clinical AKI, the highest tertiles of peak urinary neutrophil gelatinase-associated lipocalin, IL-18, KIM-1, liver fatty acid binding protein, and albumin associated independently with a 2.0- to 3.2-fold increased risk for mortality compared with the lowest tertiles. In patients without clinical AKI, the highest tertiles of peak IL-18 and KIM-1 also associated independently with long-term mortality (adjusted hazard ratios [95% confidence intervals] of 1.2 [1.0 to 1.5] and 1.8 [1.4 to 2.3] for IL-18 and KIM-1, respectively), and yielded continuous net reclassification improvements of 0.26 and 0.37, respectively, for the prediction of 3-year mortality. In conclusion, urinary biomarkers of kidney injury, particularly IL-18 and KIM-1, in the immediate postoperative period provide additional prognostic information for 3-year mortality risk in patients with and without clinical AKI.In many studies, the development of AKI, defined by acute changes in serum creatinine, associates with a higher risk of long-term mortality.1,2 Acute changes in serum creatinine, however, may not fully reflect the severity of kidney injury due to the influence of age, sex, muscle mass, changes in hydration, nutritional status, and medications on creatinine kinetics. Moreover, serum creatinine may abruptly rise in hospitalized settings due to functional processes such as altered hemodynamics, without any true nephron damage. Several urinary biomarkers of structural kidney injury have been investigated in human cohorts in an effort to identify AKI earlier, improve the diagnosis of AKI, and to aid in risk stratification.3 It is largely unknown, however, whether kidney injury biomarkers associate with long-term outcomes, including mortality, and whether these biomarkers add useful prognostic information beyond the standard measure to detect AKI (e.g., peak change in serum creatinine). Some data suggest that “subclinical AKI,” as evidenced by elevations in urinary kidney injury biomarkers in the absence of a rise in serum creatinine, associates with worse in-hospital clinical outcomes.4 Few studies have examined whether kidney injury biomarkers associate with long-term mortality after hospital discharge.5To address the current knowledge gaps, we conducted this study to characterize the association between kidney injury biomarkers and long-term mortality and to assess whether these biomarkers provide any incremental prognostic information for long-term mortality beyond that of serum creatinine changes and other clinical variables. 相似文献
102.
103.
Etizolam is a thienodiazepine anxiolytic which is said to have lower dependence potential than other benzodiazepines. We report a case of etizolam dependence in a young male with social anxiety disorder and moderate depression. This case report highlights the fact that the same caution be exercised while prescribing etizolam with respect to its potential to cause dependence as with any other benzodiazepine.KEY WORDS: Addiction, dependence, etizolam, thienodiazepine 相似文献
104.
Patel Nayana U. Lind Kimberly E. Garg Kavita Crawford David Werahera Priya N. Pokharel Sajal S. 《Abdominal imaging》2019,44(2):705-712
Abdominal Radiology - To assess the diagnostic accuracy of PI-RADS v2 categories ≥ 3 to detect clinically significant prostate cancer (csPCa) against histopathology of... 相似文献
105.
106.
Balakrishnan V Unnikrishnan AG Thomas V Choudhuri G Veeraraju P Singh SP Garg P Pai CG Devi RN Bhasin D Jayanthi V Premalatha N Chacko A Kar P Rai RR Rajan R Subhalal N Mehta R Mishra SP Dwivedi M Vinayakumar KR Jain AK Biswas K Mathai S Varghese J Ramesh H Alexander T Philip J Raj VV Vinodkumar A Mukevar S Sawant P Nair P Kumar H Sudhindran S Dhar P Sudheer OV Sundaram KR Tantri BV Singh D Nath TR 《JOP : Journal of the pancreas》2008,9(5):593-600
107.
Systemic embolic events are known complications of bacterial endocarditis. Embolization of prosthetic valves has previously been reported in the literature. We report a case of embolization of native aortic valve tissue to the popliteal artery as the presenting event in a patient with subacute bacterial endocarditis. To our knowledge, this rare complication has not been previously reported. 相似文献
108.
109.
P.K. Garg M.L. Biggs R. Kaplan J.R. Kizer S.R. Heckbert K.J. Mukamal 《Nutrition, metabolism, and cardiovascular diseases : NMCD》2018,28(7):716-721
Background and aims
Existing literature in individuals without diabetes has not demonstrated a relationship between IR and incident AF; however, data are limited and only fasting glucose measures of IR were assessed. We evaluated the relationship of both fasting and post-glucose load IR measures with the development of atrial fibrillation in nondiabetic older adults.Methods and results
Among Cardiovascular Health Study participants, a population-based cohort of 5888 adults aged 65 years or older enrolled in two waves (1989–1990 and 1992–1993), those without prevalent AF or diabetes and with IR measures at baseline were followed for the development of AF, identified by follow-up visit electrocardiograms, hospital discharge diagnosis coding, or Medicare claims data, through 2014. Fasting IR was determined by the homeostatic model of insulin resistance (HOMA-IR) and post-glucose load IR was determined by the Gutt index. Cox proportional hazards models were used to determine the association of IR with risk of AF. Analyses included 3601 participants (41% men) with a mean age of 73 years. Over a median follow-up of 12.3 years, 1443 (40%) developed AF. After multivariate adjustment, neither HOMA-IR nor the Gutt index was associated with risk of developing AF [hazard ratios (95% confidence intervals): 0.96 (0.90, 1.03) for 1-SD increase in HOMA-IR and 1.03 (0.97, 1.10) for 1-SD decrease in the Gutt index].Conclusions
We found no evidence of an association between either fasting or post-glucose load IR measures and incident AF. 相似文献110.