コーパス検索結果 (left1)
通し番号をクリックするとPubMedの該当ページを表示します
1 AKI after MitraClip occurred in 106 patients (14.7%).
2 AKI commonly occurs in patients with coronavirus disease
3 AKI is a common sequela of coronavirus disease 2019 (COV
4 AKI is common among hospitalized patients with coronavir
5 AKI is common among patients hospitalized with COVID-19
6 AKI is common but mostly self-limiting after esophageal
7 AKI is defined using changes in creatinine from baseline
8 AKI measured using injury biomarkers was not associated
9 AKI was defined according to the AKI Network criteria.
10 AKI was defined as an absolute or a relative increase in
11 AKI-RRT is common among critically ill patients with COV
12 rporating the PERSEVERE biomarkers and Day 1 AKI status predicted severe D(3) SA-AKI with an area und
17 anting more donor kidneys with stage 1 and 2 AKI, and cautious utilization of stage 3 AKI donors, may
18 Factors that were predictive of stage 2 or 3 AKI included initial respiratory rate, white blood cell
20 d 2 AKI, and cautious utilization of stage 3 AKI donors, may increase the pool of viable kidneys.
21 AKI stage 2 (OR 1.74, 95% CI 1.05 to 2.90), AKI stage 3 (OR 2.01, 95% CI 1.13 to 3.57), and COVID-19
23 enhancer and super-enhancer landscape after AKI by ChIP-seq in uninjured and repairing kidneys on da
26 th colchicine or metformin protected against AKI, with lower serum creatinine, improved histological
30 verage the US PCORnet platform to develop an AKI prediction model and assess its transportability acr
32 out AKI (60.5% versus 27.4%, p < 0.001), and AKI was an independent predictor of mortality (OR 3.27,
33 of previous AKI (SHR, 1.26; 1.02-1.56), and AKI stage at enrollment (no AKI [SHR, 1] vs. stage 1 [SH
41 dia administration) from contrast-associated AKI (CA-AKI; ie, AKI coincident to contrast media admini
42 after immune checkpoint inhibitor-associated AKI was independently associated with higher mortality.
47 -, cisplatin-, and rhabdomyolysis-associated AKI in vivo and cisplatin-induced RTEC cell death in vit
48 ing patients receiving dialysis at baseline, AKI occurred in 34 of 145 (23%) vs 9 of 145 (6%) (differ
52 nistration) from contrast-associated AKI (CA-AKI; ie, AKI coincident to contrast media administration
53 .e., proportion of patients who developed CA-AKI and the 90-day outcome) and examined whether CA-AKI
54 rse outcomes following the development of CA-AKI and to explore whether CA-AKI mediates the associati
55 d the incidence of clinically significant CA-AKI (i.e., proportion of patients who developed CA-AKI a
58 elopment of CA-AKI and to explore whether CA-AKI mediates the association of pre-angiography estimate
59 the 90-day outcome) and examined whether CA-AKI was a mediator of the association of baseline kidney
60 ine and outcome data, we assessed whether CA-AKI was associated with the 90-day outcome comprising de
61 ys in SCD in a process involving A1M causing AKI, whereas excess heme in controls is transported to t
62 ficient to separate contrast-induced AKI (CI-AKI; ie, AKI caused by contrast media administration) fr
63 In patients with decompensated cirrhosis, AKI is associated with both hypocoagulable and hypercoag
67 f fluid balance on either 48-hour AKI, 7-day AKI, or on the need for postoperative renal replacement
71 es were more likely than controls to develop AKI (48.6% versus 17.2%, respectively) and have preexist
73 ite, 20% Black, 5% other race), 9% developed AKI overall (14% of Black, 8% of White, 10% of others).
76 e examined if serum creatinine-defined donor AKI modified this association to assess the relationship
77 s the relationship between subclinical donor AKI (elevated biomarkers without creatinine-defined AKI)
79 rapies to reduce mortality related to either AKI or CRS, apart from supportive care and volume status
80 our objective was to simultaneously evaluate AKI and CDI risks with AP-BL in the same patient cohort.
82 ant for renal tubular regeneration following AKI and that GSK3beta suppresses tubular repair by inhib
84 confidence interval (CI), 0.72 to 0.79] for AKI, 0.79 (95% CI, 0.74 to 0.83) for severe AKI, and 0.8
87 from low-resource areas to provide care for AKI, including acute PD, have already saved hundreds of
89 f COVID-19 is an independent risk factor for AKI and how COVID-19-associated AKI may differ from AKI
90 ing that diabetes is a major risk factor for AKI and we review the causes of this increased risk.
91 nary intervention (PCI) is a risk factor for AKI development, but few studies have quantified racial
92 1) and in patients with <=2 risk factors for AKI (DR: n = 27; Deltacreatinine -0.01(-0.18,0.07)mg/dL
93 patient-and hospital-level risk factors for AKI-RRT and to examine risk factors for 28-day mortality
96 tegies to better identify people at risk for AKI and to develop new approaches to improve AKI outcome
97 ds regression was used to contrast risks for AKI and CDI across individual target antimicrobials and
102 rgoing transcatheter mitral valve repair had AKI, linked to device failure or other severe conditions
104 and in-hospital AKI, with nadir in-hospital AKI was in serum ionized calcium of 5.00-5.19 mg/dL.
105 ission serum ionized calcium and in-hospital AKI, with nadir in-hospital AKI was in serum ionized cal
107 no effect of fluid balance on either 48-hour AKI, 7-day AKI, or on the need for postoperative renal r
110 o separate contrast-induced AKI (CI-AKI; ie, AKI caused by contrast media administration) from contra
115 e similar between recipient groups (15.5% in AKI vs 15.1% ideal comparator allografts, p = 0.2).
124 factors responsible for bleeding tendency in AKI, we performed a prospective study comparing all thre
127 Compared with Whites, odds for incident AKI were not significantly higher in other patients (OR,
129 oups sufficient to separate contrast-induced AKI (CI-AKI; ie, AKI caused by contrast media administra
130 clinical diagnostic methods in drug-induced AKI and CKD mice models, but also possesses a higher dia
137 common in patients with acute kidney injury (AKI) and the risk of mortality is high, especially if re
138 cardiac death (DCD) or acute kidney injury (AKI) donors may experience delayed function with eventua
141 le its association with acute kidney injury (AKI) has waxed and waned, recent data suggest nephrotoxi
142 erum creatinine-defined acute kidney injury (AKI) have similar allograft survival as non-AKI kidneys
143 with moderate to severe acute kidney injury (AKI) have similar outcomes to recipients who receive kid
144 ate a high incidence of acute kidney injury (AKI) in Coronavirus Disease 2019 (COVID-19), but more da
145 investigate the risk of acute kidney injury (AKI) in hospitalized patients based on admission serum i
147 heter-based procedures, acute kidney injury (AKI) is a frequent, serious complication ranging from 10
149 owing appreciation that acute kidney injury (AKI) is increasing in its incidence rapidly and that peo
151 evidence suggests that acute kidney injury (AKI) is the main predictor of postparacentesis bleeding
152 ed with new significant acute kidney injury (AKI) or major adverse kidney events (MAKE) within 14 day
154 ACLF diagnosed with HRS acute kidney injury (AKI) were randomized to albumin with infusion of terlipr
155 esult in recovery after acute kidney injury (AKI) with adaptive proliferation of tubular epithelial c
157 ulation- manifesting as acute kidney injury (AKI), a common disorder associated with adverse long-ter
160 d promise in predicting acute kidney injury (AKI), however, clinical adoption of these models require
165 eremia at days 2 and 5; acute kidney injury (AKI); microbiological relapse; microbiological treatment
166 and 8.3%; P = .02), and acute kidney injury (AKI; 39.1% vs 19.4%; P = .02) than patients with no stea
167 ems promising to non-intrusively interrogate AKI-related biomarkers, the low kidney contrast of many
169 nt (KO) mice were protected against ischemic AKI with significantly attenuated renal tubular necrosis
172 a mechanism by which CD4(+) T cells mediate AKI and extend the importance of NGAL in AKI beyond diag
175 dneys and in ABMR, were related to molecular AKI and CKD and to eGFR, not rejection activity, presuma
177 mmatory and profibrotic phenotype; moreover, AKI dramatically modified ligand-receptor crosstalk, wit
181 1.02-1.56), and AKI stage at enrollment (no AKI [SHR, 1] vs. stage 1 [SHR, 3.28; 1.30-8.25] vs. stag
183 at would reveal whether there are aspects of AKI risk, course, and outcomes unique to this infection.
186 on and signalling pathways characteristic of AKI, and tested them in models of acute and chronic kidn
188 er, there have been no direct comparisons of AKI in hospitalized patients with and without COVID-19 t
190 less severe than predicted for the degree of AKI, suggesting a role for hemodynamic factors, such as
191 tential biomarker for the early detection of AKI and has multiple potential biological functions.
194 and older age associated with development of AKI, these associations were not unique to COVID-19.
197 G-3-P in humans and mice, and the effect of AKI on FGF23 was abrogated by GPAT inhibition or Lpar1 d
198 on who had COVID-19 and clinical features of AKI, including proteinuria with or without hematuria.
199 Adult studies have shown frequencies of AKI after CT with intravenous ICM to be similar to prope
202 Our secondary outcomes were the grade of AKI at 7 days, the need for postoperative renal replacem
208 ated leukocyte responses in a mouse model of AKI and observed an increase in circulating and kidney B
209 lateral ischemia-reperfusion murine model of AKI at days 1, 2, 4, 7, 11, and 14 after AKI onset.
210 ysis, MELD (SHR, 1.01; 1.00-1.03), number of AKI episodes (SHR, 1.25; 1.15-1.37), and CysC (SHR, 1.38
212 ted with a 9.15-fold increase in the odds of AKI (95% confidence interval [95% CI], 3.64 to 22.93) an
213 R was associated with graded, higher odds of AKI incidence (P value for trend <0.001); however, there
217 perative factors independently predictive of AKI were age [P = 0.027, odds ratio (OR) 1.02 (1.00-1.04
218 Significant multivariable predictors of AKI included eGFR before imaging (OR: 0.99; 95% CI: 0.98
221 onic healthcare records to evaluate rates of AKI and various statistical methods to determine their r
223 r study aimed to evaluate the 2-week risk of AKI after at least 3 days of intravenous vancomycin mono
225 n mono-therapy does not increase the risk of AKI compared to other intravenous antibiotics used for s
226 observational studies evaluating the risk of AKI in people with type 2 diabetes, and even fewer simul
233 of age (OR 3.54, 95% CI 1.87 to 6.70), peak AKI stage 2 (OR 1.74, 95% CI 1.05 to 2.90), AKI stage 3
235 lly ill surgical sepsis patients, persistent AKI and the absence of renal recovery are associated wit
236 idney allografts from donors with persistent AKI are often discarded, yet those that were transplante
241 f developing a higher stage of postoperative AKI (odds ratio, 0.49; 95% confidence interval, 0.37-0.6
242 ruction technique and stage of postoperative AKI was assessed using multivariable ordinal logistic re
245 SHR], 1.58; 1.07-2.33), episodes of previous AKI (SHR, 1.26; 1.02-1.56), and AKI stage at enrollment
247 cteristics allowed us to develop a proactive AKI clinical tool, which grouped patients into four risk
249 manage complications of medically refractory AKI and CRS and may restore normal electrolyte, acid-bas
250 e frequency of AKI and dialysis requirement, AKI recovery, and adjusted odds ratios (aORs) with morta
251 PERSEVERE biomarkers predict severe D(3) SA-AKI and identify patients with early AKI who are likely
252 nd Day 1 AKI status predicted severe D(3) SA-AKI with an area under the received operating characteri
253 AKI, 0.79 (95% CI, 0.74 to 0.83) for severe AKI, and 0.81 (95% CI, 0.77 to 0.86) for neonatal AKI.
258 -adjusted odds of developing new significant AKI and MAKE increased by 1.2% (0.3-2.2; P = 0.008) and
262 ionale: Subclinical acute kidney injury (sub-AKI) refers to patients with low serum creatinine but el
264 we explored the incidence and outcome of sub-AKI based on penKid.Methods: A prospective observational
270 After propensity matching with non-traumatic AKI-RRT cases with similar demographic and clinical char
275 Despite severe injuries, vehicle-traumatic AKI-RRT patients had better long-term survival than non-
276 to non-traumatic AKI-RRT, vehicle-traumatic AKI-RRT patients had longer length of stay in hospital [
278 dels that focused on ESKD, vehicle-traumatic AKI-RRT patients were associated with lower ESKD rates (
287 ack, White, or other) and baseline eGFR with AKI incidence among patients who underwent PCI at Duke U
293 I was observed in 208 (18.3%) patients, with AKI Network 1, 2, and 3 in 173 (15.2%), 28 (2.5%), and 7
297 OVID-19 AKI versus COVID-19 patients without AKI (60.5% versus 27.4%, p < 0.001), and AKI was an inde
299 had worse outcomes compared to those without AKI, including a higher proportion of in-hospital bleedi