ライフサイエンスコーパス: at risk for

1 ative pain trajectories identify populations at risk for 30-day readmissions and ED visits, and do no

2 lped nurses identify older patients who were at risk for a difficult postoperative recovery.

3 nish nationwide cohort of 1.12 million women at risk for a first cancer diagnosis on January 1, 2005.

4 used clinically yet to identify individuals at risk for abdominal aortic aneurysms.

5 vascular coupling in NE may identify infants at risk for abnormal outcomes.

6 with human immunodeficiency virus (PWH) are at risk for accelerated development of physical function

7 eristics from the broader population that is at risk for acquiring HIV.

8 ly burned and non-burned trauma patients are at risk for acute kidney injury (AKI).

9 atory distress syndrome but also in patients at risk for acute respiratory distress syndrome (ARFA) a

10 th inhaled budesonide/formoterol in patients at risk for acute respiratory distress syndrome is feasi

11 ts admitted through the emergency department at risk for acute respiratory distress syndrome.

12 to identify early-stage biomarkers in those at risk for AD and age-related cognitive decline (ARCD)

13 ys to best identify subgroups of AD patients at risk for ADHD are poorly understood.

14 aching this adiposity rebound (AR) early are at risk for adult obesity.

15 Preoperative identification of patients at risk for adverse outcomes permits treatment modificat

16 effects of caregiving, identified caregivers at risk for adverse outcomes, and evaluated a wide range

17 can help in early identification of patients at risk for adverse outcomes.

18 for preoperative identification of patients at risk for AKI and subsequent kidney function loss.

19 ture at strategies to better identify people at risk for AKI and to develop new approaches to improve

20 nvolved in use of BET inhibitors in patients at risk for AKI.

21 lone may be inadequate for identifying women at risk for alcohol-related problems post-RYGB.

22 Stratification of patients at risk for allograft loss is of uttermost importance to

23 y at rest in cognitively intact older adults at risk for Alzheimer disease.

24 A consistent proportion of individuals at risk for Alzheimer's disease show intact cognition re

25 NT-AD cohort (cognitively normal individuals at risk for Alzheimer's disease), we further demonstrate

26 on and memory may be impaired in individuals at-risk for Alzheimer's disease (AD), though standard co

27 otal of 1453 of the 2900 individuals (50.1%) at risk for AMD were followed up after 6 years (mean [SD

28 ining immunity to PV2, suggesting Vietnam is at risk for an outbreak of type 2 vaccine-derived poliov

29 s, that women with vaginitis symptoms may be at risk for an STI.

30 ial for screening and management of HIV+ MSM at risk for anal cancer.

31 and transmission risks that exist in people at risk for and living with HIV, even in the most broadl

32 It is important to recognize patients at risk for and those with delirium and to immediately i

33 clinical care and outcomes among individuals at risk for and with HIV.

34 in scenarios, including for patients who are at risk for and/or develop clinical worsening.

35 should inform potential living kidney donors at risk for APOL1-associated nephropathy about the gene

36 y lead to earlier identification of children at risk for ASD.

37 and recurrent wheeze among children who were at risk for asthma.

38 a nationwide registry of outpatients with or at risk for atherosclerotic cardiovascular disease-we co

39 rine may be useful in identifying recipients at risk for BKV complications.

40 es and those in surgical subspecialties, are at risk for burnout.

41 ese could improve identification of patients at risk for cancer progression and selection of addition

42 cine treatments of cancer patients and those at risk for cancer.

43 lace their respective human and murine hosts at risk for cancer.

44 , sometimes report pain when walking and are at risk for cardiac arrthymias.

45 s of limited added value in identifying CCSs at risk for cardiac dysfunction.

46 ctiveness of dyslipidemia treatment in those at risk for cardiovascular disease (CVD).

47 enal outcomes in people with type 2 diabetes at risk for cardiovascular disease.

48 VHD, with recipients >=12 years of age being at risk for cGVHD.

49 r patients with acute kidney injury or those at risk for chronic kidney disease.

50 el provides early identification of patients at risk for circulatory failure with a much lower false-

51 Early identification of patients at risk for clinical deterioration has relied on manuall

52 ot (ELISPOT) CMV assay may identify patients at risk for clinically significant CMV infection (CS-CMV

53 mpared with reference to the cumulative time at risk for CMV transmission.

54 n toward identifying individuals potentially at risk for cognitive decline associated with preclinica

55 o patients with ESKD, who simultaneously are at risk for complications of infection and have extensiv

56 development of the vaccine to protect groups at risk for contracting the infection.

57 patients with asthma may identify subgroups at risk for COVID-19 morbidity.Objectives: To determine

58 identifies the populations and regions most at risk for CR service underutilization.

59 LUSIONPediatric patients with SARS-CoV-2 are at risk for critical illness with severe COVID-19 and MI

60 als with cryptococcal meningitis places them at risk for Cryptococcus-associated immune reconstitutio

61 dict the risk of death in patients with, and at risk for, CS.

62 d deposition in the brains of living persons at risk for CTE has not been well studied.

63 btle vascular impairments in this population at risk for CVD such as stroke or WMHs.

64 a vWF-Ag cutoff at 413% identified patients at risk for death within 3 months of listing with a high

65 ALL who were age < 10 years at diagnosis are at risk for deficits in IQ and PS in the absence of cran

66 Fifty-two patients at risk for delayed cerebral ischemia after aneurysmal s

67 rategy to enhance lactation success in women at risk for delayed onset of milk production.

68 Early identification of people at risk for delayed, failed, or no RTW is needed so that

69 All patients are at risk for delirium, although those with more vulnerabi

70 el of Alzheimer's disease pathology might be at risk for dementia if they have high amounts of frailt

71 ive study, the Biomarkers for Older Controls at Risk for Dementia study (data collected from January

72 men and men, though women are preferentially at risk for dementia, and childhood adversity further im

73 out 2.5 billion of the world's population is at risk for dengue infection.

74 ynamic biomarkers that can identify patients at risk for deterioration in hepatorenal function and mo

75 ing and interpretation of pediatric patients at risk for developing a liver neoplasm or how best to e

76 ifying patients with type 2 diabetes who are at risk for developing AD.

77 Identifying individuals at risk for developing Alzheimer disease (AD) is of utmo

78 positive men who have sex with men (MSM) are at risk for developing anal squamous cell carcinoma.

79 Yet, predicting who is at risk for developing anxiety remains an enduring chall

80 ition and stabilization of hospital patients at risk for developing cardiac arrest.

81 fically, subacute back pain patients who are at risk for developing chronic pain exhibit a smaller nu

82 partment, may help identify individuals most at risk for developing chronic PTSD in the aftermath of

83 obal radial strain and GCS may predict those at risk for developing DMDAC before onset of LV dysfunct

84 large number of people with prediabetes are at risk for developing frank diabetes worldwide.

85 3%) patients with nonmalignant liver disease at risk for developing HCC (P < 0.0001).

86 iorally symptomatic children, and in infants at risk for developing it.

87 these are generally unique between patients at risk for developing lung cancer.

88 erpin these processes, might put adolescents at risk for developing mental health problems.

89 he underpinnings of help-seeking individuals at risk for developing psychosis, aiming at predicting a

90 t-episode psychosis patients and individuals at risk for developing psychosis.

91 hat more than half the world's population is at risk for developing these infections.

92 in recently traumatized individuals who are at risk for developing trauma-related disorders.

93 s in components of the WASH complex could be at risk for developing type 2 diabetes.

94 es in five groups of older adults putatively at-risk for developing dementia- remitted depression (MD

95 in low socioeconomic brackets are considered at-risk for developing influenza-related complications a

96 Th1/Th2 CD4 T cells) may identify recipients at risk for development of DSA.

97 Biomarkers are needed to identify patients at risk for development of inflammatory bowel diseases.

98 Moreover, the latter are at risk for development of type 2 diabetes, indicating t

99 an be used to identify preterm born children at risk for developmental delay at age 24 months.

100 ally relevant among children who are already at risk for diabetic nephropathy.

101 formance for the detection of NAFLD patients at risk for disease progression.

102 CMV) infection during pregnancy, infants are at risk for disease.

103 l CMV infection during pregnancy infants are at risk for disease.

104 machine learning model to identify patients at risk for dropping out of care in an urban HIV care cl

105 o established method of identifying patients at risk for early disease progression at the time of the

106 is very difficult to treat, and patients are at risk for early morbidity and mortality from complicat

107 ong women in low-resource countries who were at risk for early preterm birth, the use of dexamethason

108 ion program contracted the geographical area at risk for Ebola by up to 70.4% and reduced the level o

109 se of rVSVDeltaG-ZEBOV-GP vaccine in persons at risk for Ebola virus disease.

110 d to specific regions could identify regions at risk for emergence and propagation of disease vectors

111 duals with pathogenic variants in DEPDC5 are at risk for epilepsy, associated neuropsychiatric comorb

112 but identifies most patients (65%) as being at risk for fall.

113 ently no systematic way to identify patients at risk for falling out of care who would benefit from t

114 ospitalized acutely ill medical patients are at risk for fatal and major thromboembolic events.

115 and has the potential for screening patients at risk for fragility fractures, given the ease of imple

116 Despite aggressive therapy which places them at risk for functional impairment and scoliosis, these p

117 can more accurately predict which women are at risk for future breast cancer, with a lower false-neg

118 Locations exposed to clusters can be at risk for future clusters.

119 otential to opportunistically identify those at risk for future fracture.

120 entify individuals in the general population at risk for future liver-related events.

121 otein diet have a thrifty metabolism and are at risk for future weight gain.

122 , and TNFR-2) may identify children with CKD at risk for GFR decline.

123 articipants (64.8%) were identified as being at risk for having anxiety symptoms; 22 (31%) had a mild

124 More family members (76.1%) were at risk for having depressive symptoms; 15 (21.1%) had a

125 The population at risk for HBV reactivation includes those who either c

126 reated for hematological malignancies remain at risk for HBV reactivation.

127 ective review of 196 nodules in 184 patients at risk for HCC (consisting of 139 HCCs, 18 non-HCC mali

128 ify NAFLD patients without cirrhosis who are at risk for HCC.

129 een tested in healthy volunteers who are not at risk for HCV infection; viral vectors encoding nonstr

130 ines recommend identification of individuals at risk for heart failure (HF).

131 products reduce 30-day mortality in patients at risk for hemorrhagic shock compared with crystalloid

132 ajority of older adults in the community are at risk for HF (Stages A or B), appreciably more compare

133 onists may be appropriate to use in patients at risk for HF, mechanistic insights and observations fr

134 Among those at risk for HFpEF or with HFpEF, the actual diagnosis of

135 prevalent both in those with HFpEF and those at risk for HFpEF, similarly associating with disease se

136 nge {IQR}] age, 56 [44-66] years), 250 were "at risk" for HFpEF given elevated brain-type natriuretic

137 individuals and sexually active populations at risk for HIV acquisition and have been associated wit

138 n and PrEP adherence among young individuals at risk for HIV acquisition.

139 we need strategies to engage key population at risk for HIV in low-income and middle-income countrie

140 Adolescents in sub-Saharan Africa are at risk for HIV infection and unintended pregnancies.

141 Young individuals at risk for HIV initiating PrEP within Chicago's safety-

142 enrolled a diverse sample of adolescent MSM at risk for HIV who consented to study participation.

143 discontinue PrEP when a person is no longer at risk for HIV, but effectively implementing this strat

144 For individuals at risk for HIV, preexposure prophylaxis with an oral re

145 I in patients with HIV infection, who may be at risk for HIV-Associated Neurocognitive Disorders (HAN

146 ognitive function among women living with or at risk for HIV.

147 litus (DM), among Black women living with or at risk for HIV.

148 Of 566 participants at risk for HSV-2 acquisition, 532 (94%) had first-quart

149 Adolescents in sub-Saharan Africa are at risk for human immunodeficiency virus (HIV) infection

150 f gestation or later and identified as being at risk for hypoglycemia, we compared two threshold valu

151 for normal vocal-fold (VF) movement, and is at risk for iatrogenic injury during anterior neck surgi

152 nted, especially in patients who are already at risk for IFD.

153 llow for identification of HIV-1-controllers at risk for immunologic progression, and provide avenues

154 avirus disease 2019 (COVID-19) infection are at risk for in-hospital cardiac arrest (IHCA).

155 ) stages as an approach to identify patients at risk for in-hospital mortality remains under investig

156 an physical examination to identify patients at risk for in-hospital mortality.

157 There were 16 657 at risk for incident depression (ie, no depression histo

158 d to identify which individuals with SCD are at risk for incident or progression of retinopathy.

159 among employees who were draft eligible and at risk for induction but not among other employees.

160 ected encounters to similar encounters still at risk for infection at the corresponding time of infec

161 elop protective immunity leaving individuals at risk for infection in addition to compromising herd i

162 o experience neurotoxicity or place subjects at risk for infectious sequelae.

163 survivors may correctly consider themselves at risk for infertility on the basis of their previous t

164 btained from a cohort of healthy individuals at risk for inflammatory bowel diseases (pre-UC) who lat

165 e fusions might be used to identify patients at risk for IOPNs and their associated invasive carcinom

166 rkers and algorithms to identify individuals at risk for irAEs at a conference jointly sponsored by t

167 sis (SYNTAX score) in a cohort of 351 adults at risk for ischemic cardiovascular disease.

168 atory distress syndrome but also in patients at risk for its development.

169 iSpec to measure total bilirubin in neonates at risk for jaundice at Queen Elizabeth Central Hospital

170 Affected individuals are at risk for kernicterus and require lifelong phototherap

171 a after HCT identifies asymptomatic patients at risk for kidney disease and reduced survival.

172 outlook for people living with diabetes and at risk for kidney disease.

173 r phenotype and estimate the population most at-risk for later kidney failure.

174 limit access to affordable housing, and are at risk for living in areas with substandard built envir

175 by housing insecurity and homelessness, are at risk for lower-quality and unsafe housing conditions,

176 an abundant proinflammatory cytokine in the at-risk for lung cancer pulmonary and the lung tumor mic

177 hile serving as an archetype for other areas at-risk for Lyme disease epidemics.

178 supplements recommended for patients who are at risk for macular degeneration.

179 be further developed to identify individuals at risk for major adverse cardiovascular events in a com

180 the monoclonal antibody Das-1 to detect PCLs at risk for malignancy with high levels of sensitivity a

181 e monoclonal antibody Das-1 identifies those at risk for malignancy with high levels of specificity a

182 ith clinical guidelines to identify patients at risk for malignancy.

183 Finally, patients with Brody disease may be at risk for malignant hyperthermia-like episodes, and th

184 None of the tumors were considered at risk for malignant transformation at the time; for ex

185 igh proportion of Chinese Americans might be at risk for MD and associated visual complications.

186 ly dosed drugs should be avoided in patients at risk for MDH.

187 IV) and others receiving antiretrovirals are at risk for medication errors during hospitalization and

188 suggestive new tool to identify individuals at risk for mental health problems following early-life

189 onsistently indicate that this population is at risk for more severe COVID-19 illness.

190 classification correctly identifies patients at risk for mortality, though this risk is only increase

191 Because many of these patients are at risk for multidrug-resistant tuberculosis, drug susce

192 n almost all clinical settings, patients are at risk for multiple potential events and, in consultati

193 ertain metabolic abnormalities that put them at risk for NAFLD.

194 Obese adults at risk for NASH were enrolled between 2015 and 2017 (pr

195 duration of GERD in identifying individuals at risk for neoplastic BE.

196 family history may better define those most at risk for neoplastic progression.

197 dhood acute lymphoblastic leukemia (ALL) are at risk for neurocognitive deficits that are associated

198 to novel therapeutics to people suffering or at risk for neurodegenerative diseases such as Alzheimer

199 Congenital heart disease (CHD) survivors are at risk for neurodevelopmental disability (NDD), and rec

200 dividuals with pain may be an emerging group at risk for nonmedical cannabis use and cannabis use dis

201 These patients are at risk for not only first but also subsequent ischemic

202 Further, patients with PAD are at risk for not only major adverse cardiovascular events

203 identified factors characterizing survivors at risk for not reporting receipt of a health care provi

204 are clinics to proactively identify patients at risk for not returning to medical care.

205 sk calculators consider former smokers to be at risk for only 5 years.

206 y have therapeutic potential for individuals at risk for or newly diagnosed with T1D.

207 adverse effects in patients with CKD and T2D at risk for or with established cardiovascular disease.

208 adults with low bone mineral density who are at risk for osteoporosis.

209 Patients with nonmetastatic cancer may be at risk for osteoporotic fractures due to baseline risks

210 Rhode Islanders (5.2%) were estimated to be at risk for OUD (stage 0) in 2016.

211 ve at estimates of the number of individuals at risk for OUD and using a national estimate to identif

212 mework of genetic evaluation and testing men at risk for PCA-a clinically heterogeneous disease.

213 s experiencing high cognitive load and those at risk for performing poorly during clinical reasoning

214 to undergo coronary-artery surgery and were at risk for perioperative complications to receive aspir

215 Patients with acute coronary syndrome are at risk for peripheral artery disease (PAD) events and v

216 swimming larvae exposed to intense UV may be at risk for photoinduced toxicity.

217 with which to help identify patients who are at risk for POD24.

218 dolescents with perinatally-acquired HIV are at risk for poor care outcomes.

219 uired human immunodeficiency virus (HIV) are at risk for poor care outcomes.

220 e altered developmental trajectories and are at risk for poor developmental outcomes.

221 ial KCCQ-OS assessments to identify patients at risk for poor long-term clinical outcomes in this pop

222 iomarker that may identify patients with IPF at risk for poor outcomes when exposed to immunosuppress

223 ake adjuvant tamoxifen as prescribed and are at risk for poorer outcomes.

224 infection are traditionally considered to be at risk for poorer survival outcomes, as reflected in th

225 s correlated with tumor biology and patients at risk for posttransplantation recurrence, and it may b

226 Solid organ transplant recipients are at risk for potentially life-threatening infections due

227 Identifying patients at risk for PPM will help facilitate perioperative plann

228 egnancy, identify not only a subset of women at risk for pregnancy complications but also women with

229 , case mix index, and percentage of patients at risk for pressure ulcers.

230 s in women in low-resource countries who are at risk for preterm birth are uncertain.

231 ys and 33 weeks 6 days of gestation who were at risk for preterm birth.

232 ng from prolonged mechanical ventilation are at risk for profound muscle weakness and disability.

233 patients with chronic kidney disease who are at risk for progression is not known.

234 r which patients with Fabry disease (FD) are at risk for progression of white matter lesions (WMLs) a

235 and we lack tools to identify and treat PMLs at risk for progression to cancer.

236 ith foci of malignancy were considered to be at risk for progression.

237 outh at risk for psychosis from the Shanghai At Risk for Psychosis (SHARP) study.

238 in a large cohort of medication-naive youth at risk for psychosis from the Shanghai At Risk for Psyc

239 sed to investigate WM abnormalities in youth at-risk for psychosis.

240 rain white matter (WM) are reported in youth at-risk for psychosis.

241 ch remains necessary to identify individuals at risk for PVC-induced cardiomyopathy and to identify p

242 Consequently, the identification of patients at risk for readmission is a key step in improving disea

243 group of patients with breast cancer who are at risk for receiving nonguideline breast cancer treatme

244 adjuvant chemotherapy for those who are not at risk for recurrence.

245 ression (ie, no depression history) and 1696 at risk for recurrent depression (ie, depression history

246 reatment of autoimmune diseases but may come at risk for reduced immune tolerance in the intestinal t

247 e myeloid leukemia (AML) in remission remain at risk for relapse even after allogeneic hematopoietic

248 1,259 premature infants at risk for ROP were evaluated.

249 res may have utility to identify individuals at risk for SCD.

250 f psychosis in schizophrenia and individuals at risk for schizophrenia, consistent with the well-esta

251 Individuals at risk for schizophrenia-spectrum disorders display abn

252 In two groups at risk for schizophrenia-spectrum disorders-a Social An

253 ity symptoms, may be beneficial among people at risk for self-harm.

254 iagnosis and this lifestyle change puts them at risk for sequelae of a sedentary lifestyle: weight ga

255 pid, point-of-care identification of persons at risk for serious adverse events.

256 Pregnant women with heart disease are at risk for serious cardiac complications, and approxima

257 ception to this general finding: For cohorts at risk for serving in the Vietnam War, collegiate inequ

258 Health care workers (HCWs) are at risk for severe acute respiratory syndrome coronaviru

259 and high specific IgE (sIgE) levels are not at risk for severe systemic sting reactions (SSR), and c

260 may be most helpful in identifying patients at risk for severe-to-severe acute RHF.

261 improved the discrimination between patients at risk for severe-to-severe acute RHF.

262 Men who have sex with men (MSM) are at risk for sexual transmission of enteric pathogens.

263 ment sleep behavior disorder (IRBD) patients at risk for short-term development of clinically defined

264 serious mental health concern, put children at risk for significant mental health problems throughou

265 em cell transplantation leaves the new liver at risk for similar EPP-related damage.

266 The odds of being at risk for social-emotional competence were 3.9 (95% CI

267 Furthermore, body regions at risk for spread and the clinical factors associated w

268 for diagnostics to accurately identify women at risk for sPTB early in pregnancy.

269 of 21 105 patients with atrial fibrillation at risk for stroke (CHADS(2) score >=2) were enrolled in

270 tics of stroke has not only identified those at risk for stroke but also identified ways to target at

271 Among patients with atrial fibrillation at risk for stroke, there was a >4-fold difference in th

272 prescribed antibiotics can identify patients at risk for subsequent bloodstream infections caused by

273 prescribed antibiotics can identify patients at risk for subsequent bloodstream infections caused by

274 r treated with cranial radiation therapy are at risk for subsequent CNS tumors.

275 most cause of death globally, with survivors at risk for subsequent heart failure.

276 eliable prediction of which patient might be at risk for such events may help guide peri- and postope

277 that may help them identify potential joints at risk for such events.

278 For instance, infants under 1year of age are at risk for sudden infant death syndrome (SIDS), and pat

279 drome (SIDS), and patients with epilepsy are at risk for sudden unexpected death in epilepsy (SUDEP).

280 linicians can identify and treat PwP who are at risk for suicide, for example, through aggressive tre

281 references of VA and DoD patients who may be at risk for suicide.

282 for assessing and managing patients who are at risk for suicide.

283 ion of T-cell responses in patients with and at risk for T1D as well as emerging technologies.

284 pro-diabetic pathway activation in children at risk for T1D.

285 ation for diabetes management in populations at risk for T2DM.

286 HLRCC patients are at risk for the development of an aggressive form of typ

287 potential to prospectively identify patients at risk for therapeutic failure and support the developm

288 avoid recurrences and disability in patients at risk for these clinical conditions.

289 model results can be used to identify areas at risk for this pest, to inform strategic and tactical

290 it is difficult to identify patients who are at risk for this transition.

291 as led to a substantial increase in patients at risk for this vision-threatening disease.

292 nt of acute lymphoblastic leukemia (ALL) are at risk for thrombosis, caused in part by the use of l-a

293 risk, and we identify novel mosaic variants at risk for transmission to a future offspring.

294 receiving trastuzumab with chemotherapy are at risk for trastuzumab-related cardiac dysfunction (TRC

295 orthopedic surgery who were considered to be at risk for venous thromboembolism on the basis of the i

296 n transient reduced mobility places patients at risk for venous thromboembolism.

297 ent-naive and treatment-experienced patients at risk for viral rebound were randomized to treatment a

298 e and absence of guidelines for populations "at risk" for volume overload.

299 opment of screening methods to predict those at risk for VUE and the use of specific immunomodulatory

300 to identify PLWH, especially women, who are at risk for worse cognition over time.