ライフサイエンスコーパス: ICU

1 ICU admission occurred at a median of 146 (interquartile

2 ICU admissions for "palliative care of a dying patient"

3 ICU and NeuroICU, University Hospital.

4 ICU clinical and research staff and patients were masked

5 ICU data were linked to an administrative database of ca

6 ICU length of stay decreased from 6.5 to 5.8 days in the

7 ICU patients 18 years old or older with an ICU admission

8 ICU physicians' and nurses' binary predictions of in-hos

9 ICU physicians' and nurses' discriminative accuracy in p

10 ICU stay was comparable between the groups.

11 ICU-admission hemoglobin and proteinemia were respective

12 ICUs at a tertiary care medical center.

13 between inflammatory markers measured on 1) ICU admission and day 4 mortality, 2) day 4 and day 28 m

14 794 had sepsis (30.2 septic patients per 100 ICU beds, 95% CI 28.4-31.9).

15 is due to community-acquired pneumonia to 29 ICUs in the UK (second validation cohort).

16 ality, 2) day 4 and day 28 mortality, and 3) ICU discharge and 1-year mortality.

17 On Feb 27, 2014, 227 (72%) of 317 ICUs that were randomly selected provided data on 2632 p

18 we matched 3,436 of these patients to 3,436 ICU patients who did not have a discharge diagnosis of c

19 Prospective cohort study conducted in 5 ICUs in 3 hospitals in Philadelphia, Pennsylvania, and e

20 Of 3,567 ICU patients with a discharge diagnosis of critical illn

21 ement initiative being implemented across 76 ICUs designed to engage strategically the ABCDEF bundle

22 hundred twenty-five clinicians working in 77 ICUs returned questionnaires.

23 program will be implemented in an additional ICU following a two months period of staff training.

24 ministrative data, we showed that additional ICU time is often accrued by patients after they are dee

25 to calculate risk- and reliability-adjusted ICU admission rates, examined the correlation in ICU adm

26 rdings from a heterogenous group of 70 adult ICU patients.

27 tematically reviewed models to predict adult ICU length of stay.

28 d in plasma samples of day 0, 2, and 4 after ICU admission.

29 -acquired weakness in the first 4 days after ICU admission.

30 a good neurologic outcome at 6 months after ICU admission, defined by a modified Rankin Scale score

31 Mortality was similar up to 1 year after ICU admission, and gender was not associated with 90-day

32 This prospective cohort study includes all ICU admissions from 2 tertiary hospitals in the Netherla

33 al or went undocumented in 626, or 8% of all ICU admissions.

34 All ICUs in Denmark from 2005 to 2013.

35 We designed an alternative ICU staffing model to increase continuity of attending p

36 Among ICU patients with sepsis, preadmission oral corticostero

37 Among ICU patients with stable renal function, the benefit of

38 on model on the occurrence of delirium among ICU patients.

39 Significant differences exist among ICU clinician's perceptions of organ donation.

40 aluation Outcomes ICU patients had either an ICU or coronary care unit charge in Medicare Provider An

41 mited utility for predicting mortality in an ICU setting.

42 protocol; 2,510 patients (41.6%) were in an ICU with an restrictive transfusion protocol.

43 All patients 16 years or over occupying an ICU bed on one of two Point Prevalence study days in 201

44 tients were more likely to be admitted to an ICU (OR, 1.37; 95% CI, 1.05 to 1.78; P = .02), and black

45 ch National Reference Centre, admitted to an ICU between 2008 and 2014.

46 ed of whom 6,693 (27.7%) were admitted to an ICU within 48 hours; 4,453 (66.5%) patients admitted to

47 anxiety among adult patients admitted to an ICU.

48 ICU patients 18 years old or older with an ICU admission between January 1, 2012, and December 31,

49 se admitted by intensivists familiar with an ICU elsewhere in the same hospital.

50 ctly identifying hospital admissions with an ICU stay.

51 In a propensity matched analysis, ICU mortality was higher in NIV than invasively ventilat

52 interquartile range, 2.5-5.0]; p = 0.03) and ICU stay (3.0 d [interquartile range, 2.0-4.0] vs 4.0 d

53 presence, family support, consultations and ICU team members, and operational and environmental issu

54 han the qSOFA score for predicting death and ICU transfer in non-ICU patients.

55 public vs privately insured individuals) and ICU size (ten or fewer beds vs more than ten beds), fina

56 Emergency department and ICUs of an academic center.

57 ia of sedation and restraints to an animated ICU filled with patients who are awake, cognitively enga

58 ly long ICU length of stay, and benchmarking ICUs.

59 gnificant differences in mean scores between ICUs, between types of clinicians, and between patients'

60 ssessed with the Edinburgh Delirium Test Box-ICU on up to 5 separate days.

61 Edinburgh Delirium Test Box-ICU scores (range, 0-11) were lower for patients with de

62 uterized device (Edinburgh Delirium Test Box-ICU).

63 o either the medical or surgical/trauma/burn ICU with available continuous electrocardiogram data.

64 itical care nurses when using the Arabic CAM-ICU compared with the reference standard were 81% (60%-9

65 reliability of the Arabic version of the CAM-ICU.

66 Three large tertiary care ICUs in the Netherlands.

67 enrolled at another academic medical center ICU for whom plasma was obtained within 48 hours.

68 upport of the family in the patient-centered ICU.

69 The gold standard for classifying ICU admission was an electronic patient location trackin

70 acterial aspiration pneumonia among comatose ICU patients with symptoms suggesting either bacterial a

71 In the contemporary ICU, mechanically ventilated patients may not have arter

72 Assessment score from the ICU admission day (ICU day 1) was included in a multivariable model control

73 ss compared with patients who do not develop ICU-acquired weakness in the first 4 days after ICU admi

74 h critically ill patients who do not develop ICU-acquired weakness.

75 mmation is increased in patients who develop ICU-acquired weakness compared with patients who do not

76 To investigate whether patients who develop ICU-acquired weakness have a different pattern of system

77 were death within 72 hours of ICU discharge, ICU stay less than 24 hours, and end-stage renal disease

78 Group 4 had shorter donor ICU stay, lower rate of moderate-to-severe graft macrost

79 tory data retrieval and communication during ICU rounds at our institution was poor, prone to omissio

80 actamase-producing Enterobacteriaceae during ICU-hospitalization.

81 reshold, < 7 g/dL) of RBC transfusion during ICU stay.

82 consent process was the stress of the early ICU experience 25 of 44 (61%).

83 tice providers can render safe and effective ICU care.

84 A total of 14,441 eligible ICU patients.

85 She experienced ICU psychosis and postintensive care syndrome, but slowl

86 ost pronounced for patients with an extended ICU stay who were receiving mechanical ventilation.

87 Five ICUs within a tertiary care hospital.

88 with reduced mortality in patients following ICU admission with sepsis.

89 vailable physiologic data, a need exists for ICU risk adjustment methods that can be applied to admin

90 ate status is an independent risk factor for ICU mortality.

91 Risk factors for ICU refusal in patients considered "too well" were advan

92 ntified severe cellulitis was the reason for ICU admission in 23 patients, necrotizing fasciitis in 3

93 ation represented the most common reason for ICU admission.

94 Forty ICUs in Australia and New Zealand.

95 Three French ICUs.

96 ignaling activation in vastus lateralis from ICU-acquired weakness patients.

97 At 1 minute, no meter result from ICUs posed dangerous or significant risk by error grid a

98 cidence of secondary bacteremia or fungemia, ICU length of stay, mortality, and ventilator-free days

99 In aggregate, these strategies should help ICU managers and clinicians facilitate robust communicat

100 atient subgroups from a large, heterogeneous ICU population.

101 for patients not treated in the ICU; at high ICU utilization hospitals, the median ACTION mortality r

102 hragm dysfunction was associated with higher ICU and hospital mortality, and limb muscle weakness was

103 d not significantly differ based on hospital ICU utilization (high vs low: 8.7% vs 8.7%; adjusted odd

104 f revenue center codes to correctly identify ICU stays among hospitalized patients.

105 Physiology and Chronic Health Evaluation II, ICU residence on day 4, sepsis syndrome severity, antibi

106 lationship between delirium and catatonia in ICU patients and determine diagnostic thresholds for cat

107 Dysphagia after extubation was common in ICU patients, sustained until hospital discharge in the

108 phrine reuptake inhibitors were continued in ICU, complicating interpretation.

109 admission rates, examined the correlation in ICU admission rates across diagnosis and calculated intr

110 nd analysis showed a significant decrease in ICU and hospital mortality and length of stay between 19

111 7; I = 0%), but there was a mean decrease in ICU length of stay by 1.21 days (n = 3 studies; 95% CI,

112 There were no significant differences in ICU or hospital length of stay or mortality.

113 iterature for evidence of benefit or harm in ICU patients resulting from chronic effects, continued u

114 s a significant risk factor for infection in ICU, and indicate 50% of K. pneumoniae infections resul

115 No difference was observed in ICU and 6-month mortality.

116 performed within 60 minutes of each other in ICU versus non-ICU settings.

117 the use of organ-based outcome predictors in ICU even in an obstetric sepsis population.

118 of central venous catheter insertion site in ICU patients could help reduce catheter-related infectio

119 volunteers and patients expected to stay in ICU for at least 3 days in whom enteral nutrition was in

120 n odds ratios to quantify the variability in ICU admission rate that was attributable to hospitals.

121 17.6% (95% CI, 16.2-19.1%) of variability in ICU admission, corresponding to a median odds ratio of 2

122 ventilation is viewed as an adverse event in ICUs.

123 Maximum sound levels were higher in ICUs with a sleep policy or protocol compared with those

124 best practice for improving hand hygiene in ICUs remains unestablished.

125 is causing significant workflow problems in ICUs nationally.

126 compared with 60%, 14%, and 2% for those in ICUs without an restrictive transfusion protocol.

127 Secondary outcomes included ICU admission rate, in-hospital death, functional status

128 atrial fibrillation with outcomes, including ICU length of stay and survival.

129 g program and web-based technology including ICU safety checklist, tools to develop shared care plan,

130 y occupancy: the greatest odds of increasing ICU beds were in hospitals with 500 or more beds in the

131 hospital versus the hospital of their index ICU stay.

132 utcome between individual S. aureus-infected ICU patients remains enigmatic, suggesting a need to def

133 Initial ICU admissions among patients monitored by tele-ICU prog

134 37) as compared with more resource-intensive ICUs (p = 0.88).

135 s treated in the ICU at low and intermediate ICU utilization hospitals was 34 compared with 33 for pa

136 term consequences, including re-intubations, ICU readmissions, prolonged ICU and hospital stay, persi

137 Median (IQR) ICU and hospital stay was 0 (0-2) and 12 (9-18) days, re

138 ins the science and philosophy of liberating ICU patients and families from harm that is both inheren

139 ICU capacity, identifying unexpectedly long ICU length of stay, and benchmarking ICUs.

140 membrane oxygenation; p = 0.037) and longer ICU stay (32.5 [19.5-78] vs. 19 [10.5-27.5] days; p = 0.

141 Median ICU length of stay was between 2 and 6.9 days.

142 Medical ICU of two large teaching hospitals in the Netherlands.

143 Retrospective chart review of 1,157 medical ICU admissions from March 2012 to February 2013.

144 A medical ICU in a tertiary care center.

145 n of patients with an admission to a medical ICU totaling 10,216 visits were screened for delirium by

146 ICU and a resident-staffed physician medical ICU.

147 omes of a nurse practitioner-staffed medical ICU and a resident-staffed physician medical ICU.

148 ed to the nurse practitioner-staffed medical ICU were older (63 +/- 16.5 vs 59.2 +/- 16.9 yr for resi

149 % vs 17.2 % for the resident-staffed medical ICU; p = 0.001).

150 0% vs 40.0% for the resident-staffed medical ICU; p = 0.002), and had a higher severity of illness by

151 9.2 +/- 16.9 yr for resident-staffed medical ICU; p = 0.019), more likely to be transferred from an i

152 ed patients with an admission to the medical ICU.

153 d care and engagement program in the medical ICU.

154 79) older adults who had their first medical-ICU admission from 2006 through 2009 and survived to hos

155 Two tertiary mixed ICUs in The Netherlands.

156 ed cohort of consecutive adults in the mixed ICUs of 2 tertiary care hospitals in the Netherlands.

157 ars to be associated with reduced mortality, ICU length of stay, and duration of mechanical ventilati

158 Thirty-bed neuro-ICU in an academic medical center.

159 ich was not statistically different from non-ICU results.

160 Using the highest non-ICU score of patients, >/=2 SIRS had a sensitivity of 91

161 for predicting death and ICU transfer in non-ICU patients.

162 n 60 minutes of each other in ICU versus non-ICU settings.

163 mechanical ventilation with a nonneurologic ICU admission diagnosis, were included.

164 t resuscitate advance directives on day 1 of ICU admission and a control group comprising patients wi

165 is, whereas at 10 minutes, less than 0.1% of ICU meter results did, which was not statistically diffe

166 tensive care units (ICUs) and association of ICU organisational factors with outcome.

167 ation (95% CI 237.9-351.2) of adult cases of ICU-treated sepsis per year, which yields about 420 000

168 ssessments, 85% occurred on the first day of ICU admission.

169 on day 4 was associated with development of ICU-acquired infections (subdistribution hazard ratio, 0

170 meters, duration of ventilation, duration of ICU and hospital stay, 6-month recurrence, and rehospita

171 feasible method for automating evaluation of ICU patient mobility.

172 iratory distress syndrome within 96 hours of ICU admission was 35% among patients who had received or

173 or septic shock within the first 48 hours of ICU admission were included.

174 Exclusions were death within 72 hours of ICU discharge, ICU stay less than 24 hours, and end-stag

175 ee model to further refine identification of ICU stays using administrative data.

176 of median, 98.5 hr; p = 0.003) and length of ICU stay (difference of median, 4.5 d; p = 0.006) were s

177 cts on duration of ventilation and length of ICU stay observed in our study.

178 cantly associated with a lower likelihood of ICU discharge (hazard ratio, 0.65 [0.42-1.00]; p = 0.01)

179 risk factors were analyzed for likelihood of ICU discharge using Cox proportional hazards regression

180 ith all-cause mortality, multiple markers of ICU morbidity, and endothelial injury.

181 The incidence, prevalence, and mortality of ICU-treated sepsis is high in Brazil.

182 for signaling pathways enriched in muscle of ICU-acquired weakness patients, a gene set enrichment an

183 ssion would more than double his/her odds of ICU admission if moving to a higher utilizing hospital.

184 the challenges of this growing population of ICU survivors.

185 The top hospital quartile of ICU use for congestive heart failure had a sensitivity o

186 Increased occurrence rate of ICU-acquired infection and severe hypoxemia are expected

187 gests a patient with median baseline risk of ICU admission would more than double his/her odds of ICU

188 ces between empirically derived subgroups of ICU patients that are not typically revealed by admittin

189 A network of ICUs.

190 Medicaid recipients who were the oldest ICU survivors (> 82 yr), survivors of mechanical ventila

191 ents with no limitations of level of care on ICU day 1 (full code).

192 experienced the composite outcome (death or ICU transfer).

193 emoglobin and brain or renal dysfunction, or ICU mortality.

194 Screening led by either specialists or ICU teams was equally preferred.

195 for acute decompensated heart failure in our ICU (67% of them had an intraaortic balloon pump to unlo

196 ology and Chronic Health Evaluation Outcomes ICU patients had either an ICU or coronary care unit cha

197 Participating ICU teams adapt data from hundreds of peer-reviewed stud

198 ment and statistical comparison of patients' ICU LOS.

199 ICU length of stay predictions for planning ICU capacity, identifying unexpectedly long ICU length o

200 Triage score were calculated for predicting ICU transfer or death within 48 hours of meeting suspici

201 Medical, surgical, and progressive ICUs of three academic hospitals.

202 re-intubations, ICU readmissions, prolonged ICU and hospital stay, persistent cognitive problems, an

203 ) anemia in restrictive transfusion protocol ICUs was 67%, 19%, and 4%, respectively, compared with 6

204 To provide ICU clinicians with evidence-based guidance on safe medi

205 included patients, 105 (29.6%) were refused ICU treatment.

206 omes in a large cohort of patients requiring ICU admission.

207 interhospital transfers from less resourced ICUs to the referral center, a trend that is not readily

208 Respiratory ICU of a tertiary care hospital in North India.

209 Medical and respiratory ICUs.

210 e the frequency of reintubations across U.S. ICUs and to propose a standard, appropriate time cutoff

211 SETTINGS: ICUs located in nine Latin-American countries.

212 tematic and reliable methodology that shifts ICU culture from the harmful inertia of sedation and res

213 h, patients below this threshold had shorter ICU length of stay, lower incidence of acute kidney inju

214 A simulated ICU divided into two daytime teams each covered by a dif

215 primarily to transfer from less specialized ICUs (p = 0.037) as compared with more resource-intensiv

216 Of the 93 patients admitted to a study ICU, 52% of patients (n = 48) did not meet enrollment cr

217 Of the 59 study ICUs, 24 had an restrictive transfusion protocol; 2,510

218 Cardiac surgery ICUs in Pennsylvania.

219 Medical and surgical ICU patients with septic shock who received vasopressin

220 All adult medical and surgical ICU patients with severe sepsis and septic shock.

221 of mechanical ventilation, cardiac surgical ICU readmissions, and surgical postponements.

222 alation of commitment occurs in the surgical ICU, resulting in significant expenditure of resources d

223 on outcomes in specialized cardiac surgical ICUs.

224 utilization in specialized cardiac surgical ICUs.

225 mine whether a recommendation for systematic ICU admission in critically ill elderly patients reduces

226 healthcare system, implementation of a tele-ICU program is associated with an increase in interhospi

227 admissions among patients monitored by tele-ICU programs and recorded in the Philips eICU Research I

228 ificantly increased post institution of tele-ICU (p = 0.040) and was attributed primarily to transfer

229 under intensivists routinely working in that ICU and compared with those admitted by intensivists fam

230 The ICU Liberation Collaborative is a real-world quality imp

231 ironment, and patients over 14 months at the ICU and HDU of the Royal Sussex County Hospital, Brighto

232 with the Confusion Assessment Method for the ICU and Richmond Agitation-Sedation Scale.

233 el using Confusion Assessment Method for the ICU and the Bush Francis Catatonia Rating Scale mapped t

234 lopment of collaborative care models for the ICU setting.

235 Median Confusion Assessment Method for the ICU-7 scores demonstrated good predictive validity with

236 tial Organ Failure Assessment score from the ICU admission day (ICU day 1) was included in a multivar

237 isk score was 33 for patients treated in the ICU and 34 for patients not treated in the ICU.

238 econdary outcomes were length of stay in the ICU and hospital, incidence of barotrauma, and hospital

239 Patients in the ICU are at the greatest risk of contracting healthcare-a

240 nd clinicians during end-of-life care in the ICU are supported by eliciting and implementing wishes i

241 CTION risk score for patients treated in the ICU at low and intermediate ICU utilization hospitals wa

242 of-life decisions are not only common in the ICU but also frequently elicit strong feelings among hea

243 ng patients who spent at least 3 days in the ICU from October 2013 until May 2014 and required mechan

244 rospective observational cohort study in the ICU of two tertiary hospitals between January 2011 and J

245 Family members of patients who die in the ICU often remain with unanswered questions and suffer fr

246 Among patients in the ICU requiring intubation, video laryngoscopy compared wi

247 extent to which patients and families in the ICU setting are treated with respect and dignity.

248 Additional patients co-located in the ICU were found to have genetically unrelated M. hominis

249 rge-scale quality improvement efforts in the ICU, impact of safety culture on patient outcomes, metho

250 e ICU and 34 for patients not treated in the ICU.

251 nt four operations during her 10 days in the ICU.

252 y detect and measure patient mobility in the ICU.

253 undation for all safety interventions in the ICU.

254 ssful quality improvement initiatives in the ICU.

255 nical outcomes in different subgroups in the ICU.

256 d in a decision to limit life support in the ICU.

257 ared with 33 for patients not treated in the ICU; at high ICU utilization hospitals, the median ACTIO

258 ative care presence and integration into the ICU setting, as well as acceptability of 23 published pa

259 (ICU), but risk factors for admission to the ICU and adverse outcomes remain poorly defined.

260 ubjects) within 48 hours of admission to the ICU and on days 3 and 7 thereafter and subjected to lipi

261 ours; 4,453 (66.5%) patients admitted to the ICU received a critical care intervention.

262 Sepsis patients admitted to the ICU were more frequently males (61.0%; p < 0.0001 vs fem

263 ctive cohort of 250 patients admitted to the ICU with coma (Glasgow Coma Scale score </= 8) and treat

264 and the outcome of patients admitted to the ICU with sepsis.

265 llulitis patients are seldom admitted to the ICU.

266 lume resuscitation in adults admitted to the ICU.

267 relevant outcomes in adults admitted to the ICU.

268 0 women), 11277 (26.1%) were admitted to the ICU.

269 family members engaged as partners with the ICU team at the bedside.

270 The ICUs of two tertiary care hospitals in the Netherlands.

271 ver, objective methods for identifying these ICU patient subgroups are lacking.

272 Thirteen ICUs at four teaching hospitals.

273 Thirteen ICUs in four hospitals in Baltimore, MD.

274 Seven hundred and thirty ICUs in 84 countries.

275 Sixty-three ICUs in the Swedish Intensive Care Registry.

276 ssion and anxiety 3 years after admission to ICU was 1.04 (95% CI, 0.96-1.13) for statin users, 1.00

277 ents using these medications at admission to ICU.

278 Subarachnoid hemorrhage patients admitted to ICU in Australia and New Zealand have a high mortality r

279 agement, and outcome of patients admitted to ICUs for pheochromocytoma crisis.

280 Patients admitted to ICUs in 14 Saudi Arabian hospitals.

281 rt showed an increase in proportion of total ICU admissions.

282 Every two months the UNDERPIN-ICU program will be implemented in an additional ICU fol

283 he beneficial effect of intensive care unit (ICU) admission and to a variable ICU use among this popu

284 nment to patients in an intensive care unit (ICU) and a high-dependency unit (HDU) where standard inf

285 is a common disorder in Intensive Care Unit (ICU) patients and is associated with serious short- and

286 criminative accuracy of intensive care unit (ICU) physicians and nurses in predicting 6-month patient

287 require support in the intensive care unit (ICU), but risk factors for admission to the ICU and adve

288 In the intensive care unit (ICU), orotracheal intubation can be associated with incr

289 sis in adult Brazilian intensive care units (ICUs) and association of ICU organisational factors with

290 tted for sepsis to two intensive care units (ICUs) in the Netherlands between Jan 1, 2011, and July 2

291 ria (MDR-GNB) in adult intensive care units (ICUs).

292 All unplanned ICU admissions in patients with sepsis.

293 a hematological malignancy with an unplanned ICU admission between 1997 and 2013; 39,734 solid tumor

294 DATA EXTRACTION: Clinicians use ICU length of stay predictions for planning ICU capacity

295 care unit (ICU) admission and to a variable ICU use among this population.

296 hospital mortality, mechanical ventilation, ICU utilization, and length of stay.

297 Our secondary outcomes were ICU and hospital length of stay, duration of mechanical

298 We examined differences in mortality when ICU patients were admitted under intensivists routinely

299 tient-level data from a recent RCT, in which ICU LOS was the primary endpoint, and in administrative

300 riers to clinicians sharing information with ICU patients and their loved ones.