ライフサイエンスコーパス: excess mortality

1 ence that elderly population was spared from excess mortality.

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

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

4 metric survival models were used to estimate excess mortality.

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

6 Use of torcetrapib was associated with excess mortality.

7 routed, resulting in potentially significant excess mortality.

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

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

10 tions of indirect deaths, and estimations of excess mortality.

11 00 and accounting for about half of national excess mortality.

12 ange in lifestyle may reduce this continuing excess mortality.

13 20 pandemic and used these data to calculate excess mortality.

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

15 rs could contribute to differences in annual excess mortality.

16 secondary bacterial pneumonia and subsequent excess mortality.

17 ervous system (CNS); and this contributes to excess mortality.

18 resuscitation because it is associated with excess mortality.

19 ute de novo heart failure is associated with excess mortality.

20 lute excess mortality and long-term relative excess mortality.

21 ne memory to infectious diseases and prevent excess mortality.

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

23 or overweight is associated with substantial excess mortality.

24 ect and indirect) effects of the pandemic on excess mortality.

25 of sepsis and independently associated with excess mortality.

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

27 ysmal and persistent AF were associated with excess mortality (10-year survival in SR and in paroxysm

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

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

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

31 mol/L remained independently associated with excess mortality (adjusted Hazard Ratio = 3.41; 95%CI, 1

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

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

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

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

36 Compared to lobectomy, excess mortality after pneumonectomy extends beyond 1 ye

37 ansplant dialysis vintage is associated with excess mortality after transplantation.

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

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

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

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

42 Findings suggest excess mortality among certain elderly populations in Ho

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

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

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

46 acture could explain the previously observed excess mortality among hip fracture patients as compared

47 Excess mortality among HIV-infected individuals compared

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

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

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

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

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

53 Excess mortality among people with a history of mental i

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

55 The excess mortality among smokers (in comparison with never

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

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

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

59 t selection mechanisms partially explain the excess mortality among the unemployed.

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

61 Excess mortality among women was more pronounced than am

62 Calculation of excess mortality and age standardization provide a more

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

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

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

66 dity was associated with short-term absolute excess mortality and long-term relative excess mortality

67 The excess mortality and morbidity are the result of prolong

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

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

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

71 quelae and vulnerability are associated with excess mortality and must be addressed to mitigate the t

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

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

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

75 ia was independently associated with notable excess mortality and reduced event-free survival, partic

76 but AR + FMR is associated with the largest excess mortality and represents an advanced stage within

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

78 e pUL97, but not an inactive mutant, induces excess mortality, and (v) co-administration of a pUL97 i

79 lated emissions account for about 65% of the excess mortality, and 70% of the climate cooling by anth

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

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

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

83 direct and indirect deaths and estimation of excess mortality are complementary goals that are critic

84 Excess mortality associated with AUD arises both from th

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

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

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

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

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

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

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

92 Excess mortality associated with lower income can be lar

93 In this study, we quantified excess mortality associated with mental disorders in HIV

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

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

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

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

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

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

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

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

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

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

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

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

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

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

108 countries and the timing of any increases in excess mortality between February and September 2020.

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

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

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

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

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

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

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

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

117 ith NLPHL is excellent as indicated by a low excess mortality compared with the general population.

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

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

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

121 displacement was positively correlated with excess mortality (correlation = 0.29).

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

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

124 Excess mortality diminished when analyzing death from ly

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

126 ced by saline or albumin bolus explained the excess mortality due to bolus in Cox survival models.

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

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

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

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

131 about age 40 years avoided almost all of the excess mortality due to smoking.

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

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

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

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

136 st that live donation is not associated with excess mortality, end-stage renal disease, or morbidity,

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

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

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

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

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

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

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

144 Use of ECLS is associated with excess mortality for low- and intermediate-risk neonates

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

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

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

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

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

150 Excess mortality from second neoplasms and cardiovascula

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

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

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

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

155 Excess mortality has been noted among people with onchoc

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

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

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

159 ible assumptions about the age patterning of excess mortality in 2020.

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

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

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

163 atively mild disease course with significant excess mortality in elderly patients.

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

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

166 ntal illness was associated with substantial excess mortality in HIV-positive adults in Cape Town.

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

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

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

170 The excess mortality in MS relative to the general populatio

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

172 he staging was significantly associated with excess mortality in multivariable analysis adjusted for

173 <8.5 and >/=10.2 mg/dl were associated with excess mortality in patients on PD or HD (comparison gro

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

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

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

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

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

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

180 Excess mortality in severe mental illness (defined here

181 Thresholds of excess mortality in spline curve analysis were approxima

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

183 We found no excess mortality in the hemodialysis population when com

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

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

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

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

188 tuberculosis in Vietnam and to quantify the excess mortality in this population.

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

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

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

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

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

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

195 of DMR, it is independently associated with excess mortality long-term after diagnosis.

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

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

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

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

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

201 death in the lung which correlates with the excess mortality observed in superinfection.

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

203 o a 1.53-fold increased risk and an absolute excess mortality of 3.23 per 1000 person-years (equaling

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

205 nd a critical appraisal of the basis for the excess mortality of AAA patients.

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

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

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

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

210 The excess mortality of smokers is tripled and the populatio

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

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

213 =60 ml/m(2) versus <60 ml/m(2) did not incur excess mortality or cardiac events (both p > 0.30).

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

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

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

217 e model and an online tool for understanding excess mortality over 1 year from the COVID-19 pandemic,

218 Our primary objective was to estimate the excess mortality over 5 years and within the group who s

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

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

221 The excess mortality persisted after multiple risk adjustmen

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

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

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

225 Excess mortality provides a perspective on the efficacy

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

227 57 727 dollars for postoperative sepsis, and excess mortality ranged from 0% for obstetric trauma to

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

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

230 We show that it can avoid an excess mortality rate of 3.61 (2.96-4.21) million per ye

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

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

233 The excess mortality rate was not constant during the follow

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

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

236 compares the COVID-19 per capita overall and excess mortality rates in the US vs that of 18 OECD coun

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 An excess mortality ratio (EMR) was calculated by dividing

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

243 neral population, patients with AR exhibited excess mortality (relative risk of death >1), which rose

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

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

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

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

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

249 The excess mortality risk associated with TAPSE <17 mm was n

250 Prior analyses have attempted to quantify excess mortality risk for astronauts exposed to space ra

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 Taking excess mortality risk into consideration, this reduction

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

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

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

259 Excess mortality risk was found for concordant causes of

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

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

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

263 compared with expected population survival, excess mortality risks of pure AR, AR + OMR, and AR + FM

264 tality, and cessation of solid fuel use cuts excess mortality risks swiftly and substantially within

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

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

267 Interventions to reduce excess mortality should address the complex physical and

268 rse parent-offspring analysis showed overall excess mortality (SMR, 1.26; 95% CI, 1.07-1.48; P=0.003)

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

270 rities are clear, with men at higher risk of excess mortality than women.

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

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

273 ality rate, infection-related mortality, and excess mortality using controls with antibiotic-suscepti

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

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

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

277 The excess mortality was attributed to deaths due to maligna

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

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 negatively correlated with economic damage; excess mortality was largest among the oldest (individua

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

283 Across age groups 25 y and older, excess mortality was negatively correlated with economic

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

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

286 Excess mortality was observed in patients with any MPN s

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

288 Excess mortality was observed in the year after clozapin

289 Excess mortality was predominantly restricted to admissi

290 Excess mortality was present but reduced for patients ac

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

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

293 Excess mortality was substantial for severe arrhythmia (

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

295 werful, incremental, and independent link to excess mortality, which is partially alleviated by mitra

296 In addition, actionable estimates of excess mortality will require timely access to standardi

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

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