ライフサイエンスコーパス: excess mortality

1 hospitals, 31 were reported as outliers for excess mortality.

2 metric survival models were used to estimate excess mortality.

3 , and delays in therapy likely contribute to excess mortality.

4 Use of torcetrapib was associated with excess mortality.

5 routed, resulting in potentially significant excess mortality.

6 or overweight is associated with substantial excess mortality.

7 ated with longer stays, increased costs, and excess mortality.

8 HCM and mild or no symptoms have only slight excess mortality.

9 ange in lifestyle may reduce this continuing excess mortality.

10 20 pandemic and used these data to calculate excess mortality.

11 ment is common among HF patients and confers excess mortality.

12 rs could contribute to differences in annual excess mortality.

13 secondary bacterial pneumonia and subsequent excess mortality.

14 wth-hormone deficiency might account for any excess mortality.

15 of sepsis and independently associated with excess mortality.

16 medical care as a step toward reducing their excess mortality.

17 onal day 12.5, however, suffer no subsequent excess mortality.

18 een-year relapse-free survivors did not have excess mortality.

19 teen-year survivors of childhood cancer have excess mortality.

20 acco consumption to Harlem's remarkably high excess mortality.

21 that low volume was strongly associated with excess mortality.

22 rovision did not contribute significantly to excess mortality.

23 ence that elderly population was spared from excess mortality.

24 ultidrug-resistance status did not result in excess mortality.

25 nditions in children, and $42 million due to excess mortality.

26 lution may have caused 11,880 (6,153-17,270) excess mortalities.

27 rs and the extent to which psychosis affects excess mortality; 2) mortality among persons with psycho

28 Hypopituitarism is associated with excess mortality, a key risk factor being cortisol defic

29 We estimated influenza-related deaths as excess mortality above a model baseline during influenza

30 not shown that drug-eluting stents result in excess mortality after 4-5 years of follow-up.

31 cute and chronic health effects, but whether excess mortality after 9/11 has occurred is unknown.

32 Severe AVC independently predicts excess mortality after AS diagnosis, which is greatly al

33 be investigated to what extent the observed excess mortality after clozapine discontinuation is conf

34 the time of bankruptcy, did not indicate any excess mortality (all-cause standardized mortality ratio

35 uses other than HL, although other (non-DCS) excess mortality also persists for as long as 20 years a

36 impairment in HF patients is associated with excess mortality, although precise risk estimates are un

37 gnificant association between depression and excess mortality, although this association may have bee

38 erm ex-smokers, it is only 3% and 10% of the excess mortality among continuing smokers.

39 A substantial portion of the excess mortality among current smokers between 2000 and

40 Overall, approximately 17% of the excess mortality among current smokers was due to associ

41 Excess mortality among HIV-infected individuals compared

42 to assess changes over calendar time in the excess mortality among HIV-infected individuals.

43 ance use disorders are major contributors to excess mortality among individuals with attention defici

44 eatment of ILD could significantly lower the excess mortality among individuals with RA.

45 Excess mortality among LR was limited to the first 3 mo

46 The excess mortality among older recipients was largely due

47 er 1920, which were characterized by unusual excess mortality among people 25-44 years old.

48 te the potential importance of understanding excess mortality among people with mental disorders, no

49 The excess mortality among smokers (in comparison with never

50 Most of the excess mortality among smokers was due to neoplastic, va

51 The authors found an excess mortality among subjects with psychotic disorders

52 yle, and lower mental wellbeing might reduce excess mortality among the isolated and the lonely.

53 n 2015, leading to significant reductions in excess mortality among under-five children with SCA, cou

54 Our study objective was to determine whether excess mortality among well-controlled hypertensive blac

55 Excess mortality among women was more pronounced than am

56 We modeled the relationship between excess mortality and development indicators to extrapola

57 is a devastating complication that leads to excess mortality and health resource utilization.

58 tic regurgitation in clinical practice incur excess mortality and high morbidity, underscoring the se

59 g seizures, thereby reducing seizure-related excess mortality and improving quality of life.

60 analyses identified a group of patients with excess mortality and little chance of improved functiona

61 The excess mortality and morbidity are the result of prolong

62 n the global climate system have resulted in excess mortality and morbidity, particularly among susce

63 disease and ageing is an important cause of excess mortality and morbidity.

64 Long-term survivors of childhood ALL exhibit excess mortality and morbidity.

65 e lung injury (ALI) is a severe illness with excess mortality and no specific therapy.

66 presence of PH was an independent factor for excess mortality and not a surrogate for the severity of

67 No specific cause of death accounted for the excess mortality and only one death was suspected to be

68 ghly correlated with traditional measures of excess mortality and was significantly larger in seasons

69 e GLS <15% was associated with a significant excess mortality, and this measurement added incremental

70 and the extent to which cannabis use affects excess mortality; and 3) the interaction effect of canna

71 We applied Serfling and Poisson excess mortality approaches to model weekly age- and cau

72 iencies, and the mechanisms underpinning any excess mortality are unknown.

73 ng, during follow-up, high morbidity or even excess mortality as direct a consequence of MVP.

74 Excess mortality associated with AUD arises both from th

75 objective of this article is to compare the excess mortality associated with BMI levels to the exces

76 Estimates of excess mortality associated with body mass index (BMI; i

77 independently of time of onset, but here the excess mortality associated with depression seemed to be

78 her mortality rates among diabetic adults or excess mortality associated with diabetes in the United

79 r routine test results substantially reduced excess mortality associated with emergency admission at

80 sults explained 33% (95% CI 21 to 70) of the excess mortality associated with emergency admission on

81 ta on Africa (ALPHA) network to estimate the excess mortality associated with HIV during pregnancy an

82 Excess mortality associated with lower income can be lar

83 medical care might explain a portion of the excess mortality associated with mental disorders in the

84 Tobacco smoking can account for some of the excess mortality associated with MS and is a risk determ

85 mortality associated with BMI levels to the excess mortality associated with other anthropometric va

86 This is accompanied by a decline in excess mortality associated with PA catheterization.

87 Between 35 and 74 years of age, the excess mortality associated with previously diagnosed di

88 Excess mortality associated with severe symptoms was als

89 c does not take into account the substantial excess mortality associated with these disorders or the

90 ples associating depression at baseline with excess mortality at follow-up.

91 This study aimed to estimate the excess mortality attributable to acute kidney injury.

92 In this modelling study, we estimate excess mortality attributable to agriculturally mediated

93 However, estimates of excess mortality attributable to future heat waves are s

94 Estimates suggest that excess mortality attributable to heat waves in the easte

95 Excess mortality attributable to HIV was 51.8 (47.8-53.8

96 We modeled the excess mortality attributable to influenza (seasonal and

97 This study analyzes the global excess mortality attributable to the aviation sector in

98 ing four heat wave metrics and estimated the excess mortality attributable to them.

99 Excess mortality begins after puberty and has a maximal

100 ves also has adverse impact on outcome, with excess mortality being seen in patient groups infected w

101 ), but HCV infection was not associated with excess mortality between 3 and 10 years after bone marro

102 h mortality decline or only short periods of excess mortality, both adjusted methods perform equally

103 The excess mortality burden among IDUs in our cohorts was pr

104 itically ill patients is not associated with excess mortality but is significantly related to prolong

105 also showed a trend toward lower cumulative excess mortality, but the difference was smaller (approx

106 re age 40 years) avoids more than 90% of the excess mortality caused by continuing smoking; stopping

107 MDR bacteria in Thailand in 2010 represented excess mortality caused by MDR.

108 Little is known about the excess mortality caused by multidrug-resistant (MDR) bac

109 In 2008, UK annual excess mortality compared with the EU15+ median was 1035

110 /s and Vmax >/=5.5 m/s exhibited significant excess mortality compared with Vmax 4 to 4.49 m/s (adjus

111 sufficient for exaggerated inflammation and excess mortality compared with wild-type controls in the

112 . difficile genotype predicts mortality, and excess mortality correlates with genotype-specific chang

113 Excess mortality data show that, even in 1918-20, popula

114 the ratio of grand sum deficit to grand sum excess mortality, decreased as a function of event stren

115 Excess mortality diminished when analyzing death from ly

116 ects as well as the continued high shares of excess mortality due to alcohol misuse, suicide, and acc

117 n of whether a parallel decrease occurred in excess mortality due to CAD in patients undergoing surgi

118 Relative survival is the standard measure of excess mortality due to cancer in population-based cance

119 The estimated annual excess mortality due to influenza was 2 deaths per 10000

120 The increase in excess mortality due to medical diseases and disorders a

121 ity in Europe on a scale that likely exceeds excess mortality due to seasonal influenza.

122 Excess mortality due to SMN was found after BEP (HR, 1.6

123 We found that while excess mortality due to the aviation sector emissions is

124 ing that of people 65 years old, experienced excess mortality during 1918-1920.

125 the leanest men was partly accounted for by excess mortality during early follow-up and high mortali

126 and Streptococcus pneumoniae, accounting for excess mortality during influenza epidemics.

127 Excess mortality, emerging after 3 years of treatment, w

128 Our 2009 pandemic excess mortality estimates for France fall within the ra

129 We apportioned the sources of uncertainty in excess mortality estimates using a variance-decompositio

130 emed to explain a substantial portion of the excess mortality experienced by patients with mental dis

131 pment indicators were moderate predictors of excess mortality, explaining 35%-77% of the variance.

132 cidental poisoning) accounted for 62% of the excess mortality following release.

133 ospital factors explained 36% and 54% of the excess mortality for black patients with breast cancer a

134 ) projections and tested different levels of excess mortality for children with SCA, reflecting the b

135 We projected excess mortality for cold and heat and their net change

136 We aimed to estimate excess mortality for people with severe mental illness f

137 (AEs) were similar in the two groups, and no excess mortality from AEs was observed with GO.

138 Standardized mortality ratios also showed excess mortality from cardiac disease (22; 95% CI, 8 to

139 , approaching Western RRs), with substantial excess mortality from chronic obstructive pulmonary dise

140 re made for OMT annual mortality: class I no excess mortality from HF; class II and III based on MERI

141 The excess mortality from pneumonia and influenza and that f

142 We estimated the excess mortality from respiratory cancers, heart disease

143 Excess mortality from second neoplasms and cardiovascula

144 rt of British survivors of childhood cancer, excess mortality from second primary cancers and circula

145 and pneumococcus, which likely accounts for excess mortality from secondary bacterial pneumonia duri

146 novel mechanism of synergism and to prevent excess mortality from secondary bacterial pneumonia.

147 Results confirmed excess mortality from silicosis/pneumoconioses (standard

148 or death from the original cancer diagnosis, excess mortality from subsequent cancer and cardiac, pul

149 We sought to define risk factors for and excess mortality from these infections.

150 Excess mortality has been noted among people with onchoc

151 We tested whether excess mortality has occurred in people exposed to the W

152 ports of "insomnia" were not associated with excess mortality hazard.

153 a higher WHR was associated with substantial excess mortality (HR: 1.41; 95% CI: 1.25, 1.61) and grea

154 We estimate the age- and cause-specific excess mortality impact of the pandemic in France, relat

155 We estimated the influenza-related excess mortality in 6 countries (United States, Canada,

156 The excess mortality in ADHD was mainly driven by deaths fro

157 on, demonstrated that PH was associated with excess mortality in all subgroups.

158 There was no strong evidence for excess mortality in Bristol for closed operations or for

159 trolled seizures are a major risk factor for excess mortality in epilepsy.

160 refore be a severe health hazard, increasing excess mortality in Europe on a scale that likely exceed

161 In both age ranges most of the excess mortality in heavier drinkers was from external c

162 ealthcare contributes to impaired health and excess mortality in individuals with severe mental disor

163 to 1.59) materially changed the initial 36% excess mortality in LR compared with ER patients (HR = 1

164 premature death and its contribution to the excess mortality in MS patients.

165 The excess mortality in MS relative to the general populatio

166 been shown to be an independent predictor of excess mortality in multiple organ failure.

167 Excess mortality in P/E-/- mice, after a lethal dose of

168 <8.5 and >/=10.2 mg/dl were associated with excess mortality in patients on PD or HD (comparison gro

169 pared with recipients of defibrillators, the excess mortality in patients who did not receive defibri

170 HD), including myocardial infarction, to the excess mortality in patients with RA, compared with that

171 s could substantially decrease the burden of excess mortality in people released from prison, but mig

172 The authors found no evidence of excess mortality in radiologists who graduated more rece

173 isease (CAD) is a significant contributor to excess mortality in renal transplant candidates with dia

174 The excess mortality in Scotland is concentrated among low-s

175 ion may induce organ dysfunction and lead to excess mortality in septic shock.

176 Excess mortality in severe mental illness (defined here

177 Excess mortality in the early years of IP is confined to

178 Excess mortality in the HCV+ group was greatest in liver

179 request of the DSMB because of concerns over excess mortality in the hypothermia group (25 of 49 pati

180 ances in statistical methodology to estimate excess mortality in the presence of competing causes of

181 The majority of the excess mortality in the RF-positive patients could be at

182 mortality declines or only short periods of excess mortality in their recent past.

183 One reason for the excess mortality in these patients, relative to otherwis

184 was recently stopped prematurely because of excess mortality in those receiving torcetrapib vs. plac

185 ficial effect of digoxin on morbidity and no excess mortality in women at serum concentrations from 0

186 However, recent studies have shown that excess mortality in women persists after adjustment for

187 eight times more frequent, with heat-related excess mortality increasing five to seven times; alpine/

188 t is uncertain whether AF is associated with excess mortality independent of associated cardiac condi

189 se after MI, IMR presence is associated with excess mortality independently of baseline characteristi

190 Most of this excess mortality is believed to be explained by 21 commo

191 This excess mortality is not fully explained.

192 This was associated with excess mortality (log-rank statistic 21.3, p < 0.0001) a

193 This loss was accompanied by excess mortality, lower body weight, and seizures sugges

194 severe than that previously reported, and no excess mortality, massive necrosis on histology, nor dif

195 We applied seasonal excess mortality models to age-specific respiratory mort

196 utrition, and functional decline that confer excess mortality not well quantified by the Model for En

197 The excess mortality noted beyond two decades underscores th

198 However, the excess mortality observed in patients treated with cathe

199 in order to develop strategies to reduce the excess mortality observed in RA patients.

200 A continued excess mortality occurred after perforation, with an odd

201 However, excess mortality occurred over the first 6 postoperative

202 al and Operative Severity Score predicted an excess mortality of 62 and 65 deaths, respectively; Char

203 ) were used to assess the 5-year and 10-year excess mortality of ALS patients.

204 e of a given survey, and the extent to which excess mortality of children goes unreported because of

205 An excess mortality of nearly 100 000 deaths was reported i

206 ILD contributed approximately 13% to the excess mortality of RA patients when compared with the g

207 The excess mortality of smokers is tripled and the populatio

208 There was only a slight excess mortality of the cohort in comparison to the expe

209 We estimated how UHI anomalies modified excess mortality on cold and hot days for London overall

210 =60 ml/m(2) versus <60 ml/m(2) did not incur excess mortality or cardiac events (both p > 0.30).

211 therapy, our patient cohort did not exhibit excess mortality or unusual infection-related morbidity,

212 nts with hemoglobin values >17 g/dL also had excess mortality (OR 1.79, 95% CI 1.18 to 2.71, P=0.007)

213 re consistently classified as low or as high excess mortality outliers; others changed classification

214 vivors, HCV infection is not associated with excess mortality over 10 years of follow-up.

215 our study might further reduce the residual excess mortality, particularly as this clustered around

216 antimicrobial therapy and cause substantial excess mortality, particularly during annual influenza s

217 Charlson index) were used and compared the "excess mortality" predicted by each to the number of pot

218 Patients with hypopituitarism have excess mortality, predominantly from vascular and respir

219 CHF contributes to this excess mortality primarily through the increased inciden

220 Average excess mortality projections under RCP4.5 and RCP8.5 sce

221 Excess mortality provides a perspective on the efficacy

222 ut were minimally and inversely related with excess mortality (r = -0.12; P < .001) and only modestly

223 57 727 dollars for postoperative sepsis, and excess mortality ranged from 0% for obstetric trauma to

224 The excess mortality rate (per 1000 person-years) decreased

225 al burden of comorbid medical illnesses, the excess mortality rate associated with depressive symptom

226 I], 1.12 to 1.80), and SS children had a 33% excess mortality rate compared with white children (PHR

227 ploidy, we found that AA children had a 42% excess mortality rate compared with white children (prop

228 icant effect of the year of diagnosis on the excess mortality rate for all ages in all areas, except

229 ortality rates than a comparison cohort, the excess mortality rate is very small and does not approac

230 Relative survival ratios (RSRs) and excess mortality rate ratios were computed as measures o

231 Study of the dynamics of the excess mortality rate seems to be a useful clinical indi

232 The excess mortality rate was not constant during the follow

233 survival with the Pohar-Perme estimator and excess mortality rate with a flexible parametric model a

234 ry-specific influenza-associated respiratory excess mortality rates (EMR) for 33 countries using time

235 ination program for schoolchildren in Japan, excess mortality rates dropped from values three to four

236 tion of schoolchildren was discontinued, the excess mortality rates in Japan increased.

237 Toluca experienced 2-fold higher excess mortality rates than Mexico City but did not expe

238 country-specific estimates of 2009 pandemic excess mortality rates to characterize geographical diff

239 Excess mortality rates varied 70-fold across countries;

240 Pandemic-associated excess mortality rates were calculated by subtracting ob

241 Statistically significant excess mortality rates were seen due to subsequent malig

242 An excess mortality ratio (EMR) was calculated by dividing

243 ular trend for decreased mortality from CAD, excess mortality related to associated CAD after surgery

244 TION: People with severe mental illness have excess mortality relative to the general population irre

245 Thus, although some excess mortality remains among these long-term ex-smoker

246 The CCMP was associated with unanticipated excess mortality, results that differ markedly from simi

247 /LF aortic stenosis patients did not have an excess mortality risk (adjusted HR: 0.88; 95% CI: 0.53 t

248 We assessed hospital all-cause 30-day excess mortality risk among 8952 adults undergoing percu

249 based interventions are needed to reduce the excess mortality risk among formerly incarcerated people

250 rly-stage Hodgkin's disease have a sustained excess mortality risk despite good control of the diseas

251 At least half the excess mortality risk for individuals with CHC in the Un

252 The age profile of excess mortality risk in fall 1918 was characterized by

253 associated with a statistically significant excess mortality risk in overall survival (mortality haz

254 The excess mortality risk in young adults had been greatly a

255 This was similar to the excess mortality risk seen among the CAD control subject

256 mong blacks was not associated with the same excess mortality risk seen among whites.

257 Our findings suggest that the excess mortality risk to adolescent mothers might be les

258 Excess mortality risk was found for concordant causes of

259 To assess the contribution of HRBs to the excess mortality risk, we determined the all-cause morta

260 te-recurrence mortality risk and duration of excess mortality risk.

261 thout active liver disease seems to incur no excess mortality risk.

262 CHC) infection is associated with a sizeable excess mortality risk.

263 in sympathetic innervation contribute to the excess mortality seen in the setting of hibernating myoc

264 ality in type 1 diabetes responsible for the excess mortality seen in this population.

265 The excess mortality seen in type 1 diabetes is almost entir

266 nfidence interval, 1.4-2.0) with significant excess mortality starting from the age of 25 years.

267 management of these complications can reduce excess mortality to less than 2%.

268 least squares regression models that related excess mortality to per-head income and absolute latitud

269 erage, a net increase in temperature-related excess mortality under high-emission scenarios, although

270 ncy, which, if untreated was associated with excess mortality (untreated 2.97 [2.13-4.13] vs treated

271 or frequency of insomnia was associated with excess mortality up to 1988, controlling simultaneously

272 nts with HIV neuroretinal disorder had a 70% excess mortality versus those without it, even after adj

273 nterior temporal lobe resection have reduced excess mortality vs those with persistent seizures.

274 Excess mortality was 1.4 deaths/100 person-years (95% CI

275 Excess mortality was attributed to cardiovascular (1.82

276 The excess mortality was attributed to deaths due to maligna

277 Excess mortality was delayed by 1-2 years in 18 countrie

278 nt recipients above the age of 60 years, the excess mortality was due to nonhepatic, largely age-rela

279 Most of the excess mortality was in the group treated initially for

280 and all relative pairs, suggesting that the excess mortality was largely a result of having AUD.

281 This excess mortality was limited to cardiovascular disease;

282 The excess mortality was mainly from heart disease (rate rat

283 In the SCN5A overlap syndrome, excess mortality was observed between age 10 and 59 year

284 In Brugada syndrome, excess mortality was observed between age 40 and 59 (SMR

285 No excess mortality was observed for external causes (SMR =

286 class I/II before surgery (P=0.18), whereas excess mortality was observed in patients in class III/I

287 Excess mortality was observed in patients with any MPN s

288 By 2004-2006, no excess mortality was observed in the first 5 years follo

289 Excess mortality was observed in the year after clozapin

290 Excess mortality was predominantly restricted to admissi

291 Excess mortality was present but reduced for patients ac

292 inergic polymorphic ventricular tachycardia, excess mortality was restricted to ages 20 to 39 years (

293 The excess mortality was restricted to IgA anti-tTG positive

294 Vaccine coverage averaged 63%; excess mortality when the flu virus was circulating aver

295 e continued observation to determine whether excess mortality will become apparent as more events occ

296 ps, particularly severe MR, incurred similar excess mortality with BNP activation.

297 e, AF remained significantly associated with excess mortality, with about a doubling of mortality in

298 comorbidities, ADHD remained associated with excess mortality, with higher MRRs in girls and women wi

299 is responsible for significant morbidity and excess mortality worldwide.

300 Excess mortality would be relatively high in the souther