ライフサイエンスコーパス: quartile

1 tall person) than those with a high PRS (top quartile).

2 me from severely distressed communities (top quartile).

3 2.6, 13.9 to 36.2 mm (median, first to third quartile).

4 artile), or high mortality (third and fourth quartiles).

5 even if they were in the fourth D:A:D score quartile.

6 .9]; P = 0.03) relative to the lowest BMIGPS quartile.

7 mparing the lowest quartile with the highest quartile.

8 3 to 3.80) compared with those in the lowest quartile.

9 he lowest quartile compared with the highest quartile.

10 us 17%; p < 0.001) relative to the very high quartile.

11 ectively, in the highest versus lowest steps quartile.

12 uartile with 10 000 screening mammograms per quartile.

13 ster decline compared to those in the lowest quartile.

14 ions or mortality in any of the neighborhood quartiles.

15 PPDS was ranked in quartiles.

16 mferences, weight, and age) and divided into quartiles.

17 ce intervals (CIs) for CVD risk according to quartiles.

18 ] than those with exposures in the lowest PM quartiles.

19 late odds ratios (ORs) for VTE across GDF-15 quartiles.

20 ammatory Index (DII), which was divided into quartiles.

21 characteristics were similar across the four quartiles.

22 in 12-month VA between the first and fourth quartiles.

23 lculated and hospitals were categorized into quartiles.

24 to four groups as Q1 to Q4, according to the quartiles.

25 reas survival was comparable for the 3 other quartiles.

26 pid annular plane systolic excursion (TAPSE) quartiles.

27 mothers with an iodine intake in the middle quartiles.

28 ere categorized into safety-net burden (SNB) quartiles.

29 fferences were not found in the more lateral quartiles.

30 %; P<0.0001) across Social Deprivation Index quartiles.

31 l volume and were compared with ACC/AHA risk quartiles.

32 of 3.75% (1.2% [first quartile]-7.9% [third quartile]).

33 risk of BRAF-mutated tumors [OR 4th vs. 1st quartile = 0.82 (95% confidence interval, 0.65-1.04)] bu

34 sus no BAS, odds ratio (95% CI) range: first quartile, 0.15 (0.06-0.38) to top 2.5th percentile, 0.49

35 sus no BAS, odds ratio (95% CI) range: first quartile, 0.36 (0.18-0.72) to top 2.5th percentile, 0.50

36 ntrols with a median follow-up of 2.7 years (quartiles, 0.8-6.1 years).

37 erall mortality (HR fourth compared to first quartile: 0.40, 95% CI: 0.37, 0.42; ptrend < 0.0001).

38 ed in underweight women gaining weight below quartile 1 (14.8%), obese women gaining weight above qua

39 hazard ratio [HR] for quartile 4 [Q4] versus quartile 1 [Q1], 0.64 [95% CI, 0.52-0.78]), as was HDL-C

40 -day home time had lower 30-day readmission (quartile 1 versus 4, 21% versus 17%), 30-day mortality r

41 nnections were divided into short- (length < quartile 1) and long-range (length > quartile 3) connect

42 inner outer zone retinal arteriolar caliber (quartile 1) was more common in eyes with PPL compared to

43 one, eyes with thinnest arteriolar calibers (quartile 1) were associated with a 1.7- to 2.4-fold nonp

44 As anticipated, median (quartile 1, 3) baseline concentrations of high-sensitivi

45 s decreased KL-worsening risk (compared with quartile 1, HR for quartile 4: 0.79; 95% CI: 0.64, 0.98;

46 s increased KL-worsening risk (compared with quartile 1, HR for quartile 4: 1.30; 95% CI: 1.05, 1.61;

47 s of higher WOMAC progression (compared with quartile 1, OR for quartile 4 0.73; 95% CI: 0.62, 0.86;

48 ression to higher WOMAC score (compared with quartile 1, OR for quartile 4: 1.39; 95% CI: 1.18, 1.63;

49 her mean +/- [standard deviation] or median [quartile 1-3 range], and group comparisons were achieved

50 tomated algorithm (median analyzed duration [quartile 1-quartile 3]: 78.3 [66.3-83.0] hours/person).

51 , 0.98; P-trend = 0.02), decreased JSW loss (quartile 1: 0.46 mm; quartile 4: 0.38 mm; P-trend < 0.01

52 2503 cases; HR for quartile 4 compared with quartile 1: 1.17; 95% CI: 1.00, 1.37; Ptrend = 0.02).

53 HER2DX median score for quartiles 1-2 was identified as the cutoff to identify l

54 ltivariable relative risk, highest vs lowest quartile, 1.43; 95% confidence interval 1.14-1.81; P-tre

55 ompared with the first quartile (HRs, second quartile: 1.19 [1.00-1.42]; third quartile: 1.35 [1.14-1

56 Rs, second quartile: 1.19 [1.00-1.42]; third quartile: 1.35 [1.14-1.59]; fourth quartile: 1.38 [1.07-

57 2]; third quartile: 1.35 [1.14-1.59]; fourth quartile: 1.38 [1.07-1.77]).

58 ble) vs first (most favorable) genetic score quartile; 1.94 (95% CI, 1.37-2.65) in the fourth vs firs

59 1 (14.8%), obese women gaining weight above quartile 3 (14.3%), women with a short cervix (<25 mm) a

60 k patients; and the score that distinguished quartile 3 from quartile 4 was the cutoff to distinguish

61 ength < quartile 1) and long-range (length > quartile 3) connections, based on the mean distribution

62 orithm (median analyzed duration [quartile 1-quartile 3]: 78.3 [66.3-83.0] hours/person).

63 Twenty-three (39%) people in quartiles 3 and 4 for plasma sTNFR1 died over 4-year fol

64 However, for those people in quartiles 3 and 4 for plasma sTNFR1, an increased risk o

65 Median test duration was 4.5 minutes (quartiles: 3.9-5.2 minutes).

66 The median (1st quartile-3rd quartile) score of rhinitis severity was 4

67 rogression (compared with quartile 1, OR for quartile 4 0.73; 95% CI: 0.62, 0.86; P-trend < 0.01) in

68 1.10, 3.87; ptrend = 0.02)], atrazine [RRIWD Quartile 4 = 1.43 (95% CI: 1.00, 2.03; ptrend = 0.02)],

69 .00, 2.03; ptrend = 0.02)], cyanazine [RRIWD Quartile 4 = 1.61 (95% CI: 1.03, 2.50; ptrend = 0.02)],

70 sponse associations with chlorpyrifos [RRIWD Quartile 4 = 1.68 (95% CI: 1.05, 2.70; ptrend = 0.01)],

71 7), within a higher socioeconomic group (for quartile 4 [highest group] 1.50, 1.24-1.82), and higher

72 etabolic risk factors (hazard ratio [HR] for quartile 4 [Q4] versus quartile 1 [Q1], 0.64 [95% CI, 0.

73 overall cancer risk (n = 2503 cases; HR for quartile 4 compared with quartile 1: 1.17; 95% CI: 1.00,

74 For fish consumption, HRs for late AMD in quartile 4 versus 1 were 0.69 (0.58-0.82, P < 0.0001; AR

75 was associated with 49% higher UL incidence (quartile 4 vs. 1: hazard ratio = 1.49, 95% confidence in

76 the score that distinguished quartile 3 from quartile 4 was the cutoff to distinguish medium-risk and

77 C-reactive protein, and S-100beta levels in quartile 4 were also associated with delirium severity b

78 Interleukin-8 and S-100beta levels in quartile 4 were also associated with higher in-hospital

79 C-reactive protein, and S-100beta levels in quartile 4 were negatively associated with delirium-/com

80 Insulin-like growth factor-1 levels in quartile 4 were not associated with delirium severity at

81 Insulin-like growth factor-1 levels in quartile 4 were not associated with delirium-/coma-free

82 017) as were thicker outer venular calibers (quartile 4) (33% vs 21.3%, P = 0.036).

83 (2) High YKL-40 levels (quartile 4) were associated with long-term (median follo

84 2), decreased JSW loss (quartile 1: 0.46 mm; quartile 4: 0.38 mm; P-trend < 0.01), and decreased odds

85 ening risk (compared with quartile 1, HR for quartile 4: 0.79; 95% CI: 0.64, 0.98; P-trend = 0.02), d

86 ening risk (compared with quartile 1, HR for quartile 4: 1.30; 95% CI: 1.05, 1.61; P-trend < 0.01) an

87 OMAC score (compared with quartile 1, OR for quartile 4: 1.39; 95% CI: 1.18, 1.63; P-trend < 0.01) bu

88 POPF rates less than half those in the upper-quartile (7.9% vs 18.8%; P < 0.001).

89 thma) had a median VDP of 3.75% (1.2% [first quartile]-7.9% [third quartile]).

90 fied into 6 categories (first, second, third quartiles, 75th-90th, 90th-97.5th, and top 2.5th percent

91 was significantly higher than in the highest quartile (80.6 vs 24.2 cases per 1000 person-years; RR,

92 prived quartile compared with least deprived quartile [95% CI, -0.42 to -0.14]; P = 6.6x10(-5)), lowe

93 n for the respective biomarker in the lowest quartile (a 4-fold higher risk for KIM-1 and TNFR-1 and

94 between surgeons rated in the top and bottom quartiles according to skill.

95 atients within each Social Deprivation Index quartile, adjusted for geographic clustering, demographi

96 Comparing 4th to 1st quartiles, adjusted odds ratios (95% confidence interval

97 vel compared with the fourth quartile (first quartile: adjusted odds ratio, 0.40 [95% CI, 0.29-0.55];

98 odds ratio, 0.40 [95% CI, 0.29-0.55]; second quartile: adjusted odds ratio, 0.60 [95% CI, 0.47-0.77];

99 odds ratio, 0.60 [95% CI, 0.47-0.77]; third quartile: adjusted odds ratio, 0.76 [95% CI, 0.63-0.91];

100 ated week-specific TSH or fT4 levels by PFAS quartile and estimated ORs for binary high or low TSH an

101 the independent association between operator quartile and outcomes.

102 xamined the associations between FVC/TLC(CT) quartiles and (1) baseline characteristics, (2) respirat

103 0.01); this was present in the lower income quartiles and both race groups.

104 uality of life scores were compared among PF quartiles and PA levels (low, moderate and high) with AN

105 ubgroup analyses were conducted using income quartiles and race.

106 likely to be male children from lower income quartiles and were most likely to present to the ED on w

107 insured by Medicare, from the highest income quartile, and from the Midwest/West were most likely to

108 .37-2.65) in the fourth vs first D:A:D score quartile; and 2.98 (95% CI, 2.02-4.66), 1.70 (95% CI, 1.

109 e find that ZIP Codes in the highest poverty quartile are a critical vulnerability for ILINet that th

110 screpancies amongst racial groups and income quartiles are present.

111 ted OR: 2.32; 95% CI: 1.53, 3.53; lowest SM% quartile as reference) and being in the highest BF% quar

112 ed (OR: 0.43; 95% CI: 0.28, 0.66; lowest BF% quartile as reference) the odds of reaching 90 y.

113 Organ Failure Assessment scores in the lower quartile at 72 hours was 1.55 (95% CI, 1.02-2.37).Conclu

114 ntial Organ Failure Assessment in the lowest quartile at 72 hours was assessed using Bayesian network

115 operative endothelial cell loss in the lower quartile at all available follow-up moments were assigne

116 Being in the highest SM% quartile at midlife increased (adjusted OR: 2.32; 95% CI

117 to 2014, and 2015 to 2016 and hospital-level quartiles based on annual CA volumes were evaluated.

118 Hospitals were categorized into quartiles based on hospital occupancy rate (cutoffs: 48.

119 States were examined in quartiles based on state-level COVID-19 cumulative incid

120 categorized clinicians within each UCC into quartiles based on their ARI antibiotic prescribing rate

121 en E-DII and HEI-2015 scores were modeled in quartiles (both P-trend < 0.05).

122 % CIs were estimated using cubic splines and quartile classifications adjusting for age; sex; race/et

123 h FVC/TLC(CT) quartile relative to the other quartiles combined.

124 icant for GCIPL: -0.28 mum for most deprived quartile compared with least deprived quartile [95% CI,

125 tive incidence of COVID-19 was in the lowest quartile compared with the highest quartile was associat

126 tive incidence of COVID-19 was in the lowest quartile compared with the highest quartile.

127 .07, P < .01) and a two fold risk for lowest quartile concentrations (OR, 1.86; 95% CI: 1.02, 3.40).

128 ng no caffeine, those in the highest IOP PRS quartile consuming >= 321 mg/day showed a 3.90-fold high

129 p: compared with those in the lowest IOP PRS quartile consuming no caffeine, those in the highest IOP

130 ociation: among those in the highest IOP PRS quartile, consuming > 480 mg/day versus < 80 mg/day was

131 and each PFAS as a continuous variable or in quartiles, controlling for maternal age, parity, socio-o

132 e as reference) and being in the highest BF% quartile decreased (OR: 0.43; 95% CI: 0.28, 0.66; lowest

133 Pre-ACA SNB quartile did not predict changes in PSI-90 post-ACA.

134 year 30, and gene expression levels (highest quartile divided into two levels - 75th to 95th and>95th

135 time [2.9% (1.2-4.7), for highest vs lowest quartile], eating fast food [0.5% (0.2-0.7) per meal/wk]

136 deral poverty level compared with the fourth quartile (first quartile: adjusted odds ratio, 0.40 [95%

137 of BCL were 6.2 in the highest versus lowest quartile for sCD23, 2.6 for sCD30, 4.2 for sCD27, and 2.

138 Surgeons in the top quartile for self:peer ratings (n=6, ratio 1.58) had low

139 ictors of non-index readmission included top quartile for zip code median household income (1.35 [1.0

140 117.4); P < 0.0001], compared to the highest quartile group of amyloid-beta42 and lowest of NfL.

141 Combining the lowest quartile group of amyloid-beta42 with the highest of NfL

142 rtion of follow-up time in OAT (presented in quartile groupings: lowest, low-mid, low-high, highest)

143 acetaminophen concentrations in the highest quartile (>73.5 ng/mL) versus the lowest (<5.4 ng/mL).

144 rticipants with GDF-15 values in the highest quartile (>=358 pg/mL) had an OR for VTE of 2.05 (95% co

145 1.51; 95% CI, 1.23 to 1.85 with the highest quartile [>=235.9 RU/ml] versus lowest quartile [<95.3 R

146 en exposed to a high number of wells (fourth quartile, >= 27) vs. no wells within 5 km had a higher o

147 prevalent diabetes with the highest gamma-GT quartile had a 1.8-fold increased dementia risk (HR = 1.

148 ipants with PM concentrations in the highest quartile had a higher risk of PTD [HR = 1.29 (95% CI: 1.

149 rs, those in the lowest airway to lung ratio quartile had a mean FEV1 decline of -37 mL/y (15 mL/y),

150 nd age-standardized aortic size in the upper quartile had a multivariable-adjusted ~3-fold increased

151 y 24% of participants from the most deprived quartile had an MLVI >=2.5 compared with 12% in the rema

152 vely healthy subjects with a higher gamma-GT quartile had more increased dementia risk.

153 Participants in the first genetic score quartile had no increased CKD risk, even if they were in

154 icipants (P = .98), whereas those in highest quartile had significantly faster decline than participa

155 with cord UMFA in the highest, versus lowest quartile, had a greater ASD risk (adjusted OR, aORquarti

156 ng carriers, those with a low PRSBMI (bottom quartile) have an approximately 5-kg/m2 lower BMI (appro

157 ive average EDIP score, those in the highest quartile (highest dietary inflammatory potential) had a

158 s of MCP-1 levels as compared with the first quartile (HRs, second quartile: 1.19 [1.00-1.42]; third

159 e highest-risk quartile with the other three quartiles, HRs for bone attenuation, muscle attenuation,

160 with baseline teaching scores in the bottom quartile improved teaching behaviors in all phases of in

161 antly decreased odds of being in the 4th DII quartile in men and all participations respectively, the

162 S were markedly elevated with increasing AIP quartile in participants with baseline CACSs of 0 and 1

163 BF% quartiles in 1985/1986 were inversely associated with se

164 sed risk of SSLs in comparison to the lowest quartile intake.

165 The highest quartile intakes of red meat (OR: 2.38; 95% CI: 1.44, 3.

166 ticipants in the highest versus lowest steps quartile lost 2.9% (95%CI, 1.8-4.1) more of their pre-su

167 tion of energy-adjusted UPF categorized into quartiles (low, medium-low, medium-high, and high consum

168 valent of task (MET)-h/wk, compared to first quartile ( < 3.7 MET-h/wk): 0.61, 95% CI: 0.57, 0.66; pt

169 ompared with those with GDF-15 in the lowest quartile (<200 pg/mL) in the age- and sex-adjusted model

170 baseline and time-updated mean achieved SBP quartiles (<120, 120 to 129, 130 to 139, >=140 mm Hg) to

171 ghest quartile [>=235.9 RU/ml] versus lowest quartile [<95.3 RU/ml]; HR, 1.26; 95% CI, 1.18 to 1.35 p

172 ic and abdominal aortic sizes in the highest quartile (measured by computed tomography scans and inde

173 ntries were stratified as having low (lowest quartile), medium (second quartile), or high mortality (

174 smoking were at higher risk of poor (lowest quartile) midlife episodic memory and associative learni

175 h high polygenic load [lowest vs highest PGS quartiles, multi-ethnic sample: OR = 1.54 (95% CI: 1.18-

176 .79, p = 0.0150) than surgeons in the lowest quartile (n = 6, ratio 0.94).

177 Subjects in the top quartile of AAMRs experienced more than twice the mortal

178 >= 30 kg/m(2)) categories, while the highest quartile of ABSI separated 18-39% of the individuals wit

179 Compared with participants in the highest quartile of airway to lung ratio, those in the lowest ha

180 The highest quartile of BMIGPS was associated with lower Healthy Pur

181 re 42.1% and 80.2% in the lowest and highest quartile of clinicians, respectively.

182 rtile of COC index, those within the highest quartile of COC index had reduced risk for CVD (aHR 0.76

183 Compared to patients within the lowest quartile of COC index, those within the highest quartile

184 Compared with participants in the lowest quartile of cumulative average EDIP score, those in the

185 ansplant failure in states within the lowest quartile of dialysis mortality, compared with an 8% high

186 8% higher risk in states within the highest quartile of dialysis mortality.

187 s, we found that participants in the highest quartile of DII were associated with hypertriglyceridemi

188 Participants in the highest quartile of ERS (representing highest composite exposure

189 or diabetic subgroup; OR (highest vs. lowest quartile of FLI), 1.45; 95% CI, 1.07-1.96 for non-diabet

190 iduals with diabetes (OR (highest vs. lowest quartile of FLI), 2.89; 95% CI, 1.01-8.27 for diabetic s

191 ontitis (Odds ratio (OR) (highest vs. lowest quartile of FLI),1.63; 95% confidence interval (CI), 1.2

192 p of 14.0 years, participants in the highest quartile of GlycA, compared with the lowest, experienced

193 The mean values per quartile of high-volume reader performance ranged from 6

194 ined for each tumor subgroup, overall and by quartile of high-volume reader sensitivity.

195 .46, 95% CI 1.32-1.62, for lowest vs highest quartile of income per capita; 2.09, 95% CI 1.62-2.72, f

196 Overall, although people in the highest quartile of inflammatory food consumption had more likel

197 0021), and tended to associate with baseline quartile of LDL-C(corrected) (P(trend)=0.06); VTE tended

198 , risk of PAD events was related to baseline quartile of lipoprotein(a) (P(trend)=0.0021), and tended

199 with alirocumab was associated with baseline quartile of lipoprotein(a) (P(trend)=0.03), but not LDL-

200 0.06); VTE tended to associate with baseline quartile of lipoprotein(a) (P(trend)=0.06), but not LDL-

201 Surgeons in the lowest-quartile of median EBL demonstrated CR-POPF rates less t

202 r total steps per day (eg, highest vs lowest quartile of peak 30 cadence: HR, 0.90 [95% CI, 0.65-1.27

203 s were also elevated for the second or third quartile of PFHxS or PFOS, but no consistent exposure-ou

204 Compared to the lowest quartile of PM2.5 ( < 41.4 mug/m3), adjusted HR values w

205 tion, stroke, and bleeding based on hospital quartile of potent P2Y12 inhibitor use.

206 ed sensitivity and specificity, examined per quartile of radiologists' performance.

207 zone, the percentage of eyes in the thinnest quartile of retinal arteriolar diameter increased with w

208 ates ranking in either the lowest or highest quartile of risk-adjusted mortality in at least four of

209 Compared with participants in the lowest quartile of sodium excretion, the adjusted prevalence ra

210 90 days as a secondary outcome, according to quartile of suPAR level.

211 /2020 to 6/15/2020), zip codes in the lowest quartile of testing rates accounted for only 12.1% and 8

212 The highest OR for the upper vs. lower quartile of the ADPRS distribution was 3.22.

213 When comparing the fourth quartile of UFP exposure to the first quartile, the OR f

214 ngland and Wales between 2012 and 2014 and 4 quartiles of annualized uLMS-PCI volume (Q1-Q4) generate

215 ticipants were then divided into approximate quartiles of COC index, and followed from 1 January 2007

216 rank correlation or even comparisons across quartiles of corresponding ventilatory and MSNA response

217 Quartiles of energy and nutrients of concern (total suga

218 vated skin cancer risk was consistent across quartiles of European, African, and Native American gene

219 eptide and peak C-peptide were stratified by quartiles of expression of 31 miRNAs.

220 Future climate scenarios included quartiles of future climate changes from downscaled Coup

221 Across quartiles of homeostasis model assessment of insulin res

222 When comparing the highest and the lowest quartiles of LAEDVI, there was a near 6-fold increase in

223 chemic stroke among individuals in the upper quartiles of MCP-1 levels as compared with the first qua

224 ere fitted to test for a linear trend across quartiles of performance.

225 - 60.7mug/m3), and fourth ( >= 60.7 mug/m3) quartiles of PM2.5, respectively (p for trend < 0.001).

226 ar risks of adverse outcomes across hospital quartiles of potent P2Y12 inhibitor use.

227 Patients were classified by: 1) quartiles of pretx CA19-9 (Q1-4); 2) proportional change

228 inear mixed models estimated associations of quartiles of steps, sedentary behavior (SB), and moderat

229 Quartiles of the Social Deprivation Index characterized

230 ation was defined according to equally sized quartiles of total leukocyte counts within the suggested

231 site outcomes significantly increased across quartiles of TRL-C and sdLDL-C.

232 Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not

233 institution, patient age, and time of year (quartile) of transplant, identified CDI risk factors.

234 esidential greenness (the highest vs. lowest quartile) on cognitive impairment was observed among the

235 ated with variant location (grouped by 5'-3' quartiles or by founder variant subgroup).

236 When examined as quartiles or continuous variables in conditional logisti

237 having low (lowest quartile), medium (second quartile), or high mortality (third and fourth quartiles

238 I >=2.5 compared with 12% in the remaining 3 quartiles (P = 0.018).

239 s caused by SCD was not different between HF quartiles (P=0.91), and the effect of implantable cardio

240 tly predicted inflation-adjusted cost (+$978/quartile, P < 0.0001) after risk adjustment.

241 In upper hsTnI quartiles, patients had higher-risk clinical profiles.

242 re hospitals moving into bottom or top usage quartiles post-adjustment.

243 In the highest FLI quartile, prevalence of periodontitis was higher in indi

244 that the ORs for VTE increased across GDF-15 quartiles (Ptrend = .002).

245 In quartile (Q) analyses, higher n-6 PUFAs were associated

246 ociation between participants in the highest quartile (Q) of DII and the incidence of metabolic syndr

247 overall cancer mortality risk, according to quartiles (q) of the index.

248 Bilateral measures of MFI in four quartiles (Q1-Q4; medial to lateral) at cervical levels

249 Associations were assessed between HOUSES (quartiles: Q1 [lowest] to Q4 [highest]) and graft failur

250 rs at baseline (upper 3 quartiles vs. lowest quartiles [Q2-4 vs. Q1]) and moderate DR (stage 3 or mor

251 ients with PREOP and POD2 NfL in the highest quartile (Q4) had increased risk for incident delirium (

252 hma in women (odds ratio [OR] for the fourth quartile [Q4] vs. Q1, 0.56; 95% confidence interval [CI]

253 he model predicted 361,000 infections [inter-quartile range (IQR): 347,000-383,000] in the period 200

254 vival probability for patients in the fourth-quartile range than in the first, with a univariate haza

255 When sum of SUV(max) was grouped into quartile ranges, there was a significantly worse surviva

256 ality was lower in the very high FVC/TLC(CT) quartile relative to the other quartiles combined.

257 iations between steps, SB (inverse) and MVPA quartiles, respectively, with improvements in each score

258 of any of those 4 biomarkers was in the top quartile (score range, 0-4) was strongly associated with

259 The median (1st quartile-3rd quartile) score of rhinitis severity was 4 (2-6).

260 nced more than twice the mortality of bottom quartile subjects (hazard ratio [HR], 2.07; 95% confiden

261 Patients in the lowest quartile (TAPSE <17 mm) were at a high risk of death, wh

262 ted risks of having a Ct value in the lowest quartile than children without, while an immunocompromis

263 Compared with the lowest quartile, the highest BMICNS quartile was associated wit

264 fourth quartile of UFP exposure to the first quartile, the OR for PTB was 1.14 (95% CI: 1.08, 1.20),

265 creased odds ratio of belonging to the upper quartile themselves.

266 and TNBC (e.g., highest compared with lowest quartile: TNBC OR: 0.53; 95% CI: 0.31, 0.91; P-trend = 0

267 d to Group 1 (n = 51) and those in the upper quartile to Group 2 (n = 42).

268 The ORs comparing the highest PFOA or PFHpS quartile to the lowest were 2.2 (95% CI: 1.2, 3.9) and 1

269 COPDGene was used to stratify subjects into quartiles: very high, high, low, and very low.

270 < 0.001), and hospital volume (24.5% highest quartile vs. 32.7% lowest, P < 0.001).

271 rhoods with a high deprivation index (fourth quartile vs. first: OR = 1.14, 95% CI: 1.07, 1.21).

272 Retinal vessel calibers at baseline (upper 3 quartiles vs. lowest quartiles [Q2-4 vs. Q1]) and modera

273 The highest suPAR quartile (vs.

274 he lowest quartile compared with the highest quartile was associated with 128.7 fewer cases per 100 0

275 with the lowest quartile, the highest BMICNS quartile was associated with fewer items purchased (P =

276 seline (n = 1,131), the very low FVC/TLC(CT) quartile was associated with increased gas trapping and

277 The very low FVC/TLC(CT) quartile was associated with increased total (IRR = 1.65

278 0 years old, telomere length in the shortest quartile was associated with inferior survival (P < .001

279 st (<220 mug/day) or highest (>=391 mug/day) quartile was associated with lower cognitive, language,

280 hased (P = 0.04), and the highest BMInon-CNS quartile was associated with purchasing breakfast at a l

281 COPD incidence in the lowest airway to lung quartile was significantly higher than in the highest qu

282 ratios for the top compared with the bottom quartile were 1.90 (95% CI, 1.30-2.76) for total to high

283 he adjusted prevalence ratios in the highest quartile were 1.93 (95% CI: 1.69, 2.20) for overweight/o

284 5075

285 FR-1, or TNFR-2 concentration in the highest quartile were at significantly higher risk of CKD progre

286 Quartiles were calculated for noncalcified plaque, CAC,

287 The two lowest quartiles were merged and considered to represent the lo

288 Complication rates between top and bottom quartiles were similar after SG, however leak rates were

289 h substantially lower risk of CVD [HR fourth quartile, which was >= 24.4 metabolic equivalent of task

290 stratified into four groups according to AIP quartiles, which were determined by the log of (triglyce

291 ined based on the first reader's sensitivity quartile with 10 000 screening mammograms per quartile.

292 hest level of CCR1 as compared to the lowest quartile with a difference of 1.69% (p for trend: 0.01).

293 highest level of TLR5 compared to the lowest quartile with difference of 4.00% (p for trend: 0.04) an

294 al [CI]: 0.91 to 0.98; p = 0.004; aHR of the quartile with greatest vs. least LVMi regression: 0.61;

295 of vaccinated patients in facilities in the quartile with the highest proportion of Black patients d

296 .11 (95% CI, 1.95-4.96) comparing the lowest quartile with the highest quartile.

297 rease of 0.88% per year in facilities in the quartile with the lowest proportion of Black patients.

298 Comparing the highest-risk quartile with the other three quartiles, HRs for bone at

299 on tested associations of genetic risk score quartiles with workplace purchases, adjusted for age, se

300 en with sTNFR2 concentrations in the highest quartile within 6 weeks of delivery had an increased rel