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1 ratory markers (C-reactive protein and white blood cell count).
2  abnormal blood cells, or reduced peripheral blood cell count.
3 eased protein with a slightly elevated white blood cell count.
4 ls of hCMV IgG inversely correlated with red blood cell count.
5 ted to low albumin concentration and low red blood cell count.
6 e afebrile with normal chest x-ray and white blood cell count.
7 parameters and 1 associated with total white blood cell count.
8 justing for FLT3-ITD, NPM1, CEBPA, and white blood cell count.
9 LT3-ITD/NPM1 molecular-risk group, and white blood cell count.
10 P<0.001) but not C-reactive protein or white blood cell count.
11 awn because of a transient decrease in white blood cell count.
12 oietic progenitors, and the peripheral white blood cell count.
13 alleled engraftment and an increase in white blood cell count.
14 ow failure disorder characterized by low red blood cell count.
15 n and fetal haemoglobin, and decreased white blood-cell count.
16 ssant FK506 (tacrolimus) decreases CSF white blood cell counts.
17  patients were afebrile and had normal white blood cell counts.
18  thrombocytopenia and altered microcytic red blood cell counts.
19 ll infusion despite prompt recovery of other blood cell counts.
20 age, sex, technical covariates, and complete blood cell counts.
21  antidepressant use, inflammatory status and blood cell counts.
22 nd lower C-reactive protein levels and white blood cell counts.
23 boratory test results were as follows: white blood cell count, 11.2 x10(9)/L (normal range, [4.5-11.0
24                 Optimal thresholds for white blood cell count (11600/microL), absolute neutrophil cou
25 ommon grade 3 or 4 toxicities were low white blood cell count (14 [11%] in the CRT plus cetuximab gro
26  (4.5% compared with 16.4%; P < 0.05), white blood cell count (14.4 +/- 3.3 compared with 15.6 +/- 4.
27 tory evaluation revealed leukocytosis (white blood cell count, 15.4 x 10(9)/L; normal range, [3.5-10.
28  [29%]), anaemia (26 [29%]), decreased white blood cell count (17 [19%]), and decreased lymphocyte co
29 , leucopenia (27 [10%]), and decreased white blood cell count (21 [8%]).
30 gies, and two of nine patients with complete blood cell counts (22%) had peripheral eosinophilia.
31 CI, 4.0%-6.3%]), and hematopoietic (abnormal blood cell counts, 3.0% [95% CI, 2.1%-3.9%]) function we
32  low glucose level (2 mg/dL), and high white blood cell count (330/mm(3); 28% lymphocytes, 56% neutro
33  (31 [10%] vs 41 [13%]), and decreased white blood cell count (39 [13%] vs 33 [11%]).
34 level (124 vs 134 mg/dL, P = .03), and white blood cell count (6600/muL vs 17 200/muL, P < .001) comp
35  88.35 U/L (58.94-117.76 U/L); and for white blood cell count, 6890/microL (5700/microL-8030/microL).
36 l range, 12-60 mg/dL), and an elevated white blood cell count (7/mm(3) [0.007 x10(9)/L] in tube 1 and
37 +/- 70 vs. 186 +/- 47, p = 0.008), and white blood cell counts (7.7 +/- 2.3 vs. 6.6 +/- 1.9, p = 0.02
38 [4.0-5.8] vs 4.5 [3.7-5.5] mg/dL), and white blood cell count (7000 [5900-8200] vs 6600 [5600-7800] c
39 [IQR (36.7, 38.5)]; P < .01) and lower white blood cell count (8.3 x 1000 cells/muL [IQR, 5.7, 12.4]
40 ediction highlighted by our tool: that white blood cell count--a quantitative trait of the immune sys
41          We tested the accuracy of the white blood cell count, absolute neutrophil count, and platele
42                                        White blood cell count also provides predictive information on
43                                        White blood cell count analysis after alpha-radioimmunotherapy
44 isodes, 213 had data allowing complete white blood cell count analysis and were included in the final
45                                        White blood cell count and albumin level are the most clinical
46 nificantly predicted only by patients' white blood cell count and albumin level.
47 tive inhibitor tofacitinib reduced the white blood cell count and caused leukemic cell apoptosis.
48                                    The white blood cell count and differential were within the normal
49 near regression, adjusting for demographics, blood cell count and distribution, and another metric wi
50 ean value of several laboratory tests (white blood cell count and hepatic and lipid panels), yet (2)
51 formula using age, performance status, white blood cell count and lactate dehydrogenase, separate pro
52 waist-hip ratio, alanine transaminase, white blood cell count and lower high-density lipoprotein chol
53 l uses repeatedly measured biomarkers (white blood cell count and lymphocyte percent) to predict CD4(
54 th 17-DMAG significantly decreased the white blood cell count and prolonged the survival in a TCL1-SC
55 d examination revealed mildly elevated white blood cell count and protein levels.
56                                    Her white blood cell count and serum markers for ovarian cancer we
57 analysis based on patient age, gender, white blood cell count and specific cause of bacteremia genera
58 s C. difficile variant elicited higher white blood cell counts and caused disease in younger patients
59                 Clinical records of complete blood cell counts and chemical profiles at baseline and
60   Myelosuppression, determined by peripheral blood cell counts and clonogenicity assays of hematopoie
61      His laboratory evaluation showed normal blood cell counts and comprehensive metabolic panel with
62 ent is also influenced by platelet and white blood cell counts and estroprogestogen intake.
63 nd ALT, and negatively correlated with white blood cell counts and fibrinogen in free-ranging dolphin
64 bition of mTORC1 significantly increased red blood cell counts and hemoglobin content in the blood, i
65                                              Blood cell counts and histologic analyses were done.
66 ciated with increased peripheral circulating blood cell counts and increased proliferative capacity o
67                                  Circulating blood cell counts and indices are important indicators o
68  impact of genes and environment on baseline blood cell counts and indices using a pedigreed colony o
69                                  Total white blood cell counts and leukocyte-distribution profiles we
70 ression, as monitored by reductions in white blood cell counts and lymphocyte proliferation activity.
71                                              Blood cell counts and organ histology were normal after
72 , including hemoglobin levels, red and white blood cell counts and platelet counts and volume.
73 reatment improved survival, normalized white blood cell counts and platelet counts, and markedly redu
74 pigenetic aging rates of blood (dependent on blood cell counts and tracks the age of the immune syste
75 ented more commonly with low to normal white blood cell counts and with myeloid infiltration of lymph
76  SPIROMICS baseline visit data with complete blood cell counts and, in a subset, acceptable sputum co
77 ic age acceleration of blood (independent of blood cell counts) and the extrinsic epigenetic aging ra
78 t of patients with FLT3-ITD, only age, white blood cell count, and < 4-log reduction in PB-MRD, but n
79 C also have an abnormal temperature or white blood cell count, and be started on a new antimicrobial
80 ith high-resolution B-mode ultrasound, white blood cell count, and C-reactive protein values were obt
81 ustment for age, sex, current smoking, white blood cell count, and fish consumption, each 1-SD increa
82 e, higher waist-to-hip ratio, elevated white blood cell count, and heart failure.
83 oxicity analysis included body weight, white blood cell count, and hematocrit.
84 nts had more severe neuropathy, higher white blood cell count, and lower endothelium-dependent and -i
85 der, had a higher hemoglobin level and white blood cell count, and lower platelet count and serum ery
86 red blood cell transfusion dependency, white blood cell count, and marrow blasts retained independent
87                              Age, sex, white blood cell count, and risk group were similar between DS
88 cology Group performance status of 0, normal blood cell counts, and a calculated creatinine clearance
89  with poorer performance status, lower white blood cell counts, and a lower percentage of marrow blas
90 or overall survival, TP53 alterations, white blood cell counts, and age were the only significant fac
91 sterone), hepatobiliary enzyme levels, white blood cell counts, and iron homeostasis.
92 d hepcidin levels, higher hemoglobin and red blood cell counts, and lower mean corpuscular volume tha
93 ies were assessed by monitoring body weight, blood cell counts, and serum alanine aminotransferase an
94 uch as advanced clinical stage, higher white blood cell counts, and shorter lymphocyte doubling time.
95 videnced by even larger spleen, higher white blood cell counts, and shorter survival, compared with F
96  of G-CSF in these patients to support white blood cell counts, and suggest that direct targeting of
97 rasitaemia, haemoglobin concentration, white-blood-cell count, and liver function.
98 ge, creatinine clearance, haemoglobin, white-blood-cell count, and previous spontaneous bleeding) sho
99 e MPD was characterized by an elevated white blood cell count, anemia, and thrombocytopenia with inef
100 ced age, elevated serum creatinine and white blood cell count, anemia, non-ST-segment elevation MI, o
101 ruising (aOR, 3.17; P=.0059), abnormal white blood cell count (aOR, 0.52; P=.0100), and prior antibio
102                                        Human blood cell counts are tightly maintained within narrow p
103 antitative hematopoietic parameters, such as blood cell counts, are required to distinguish between M
104 We tested serum C-reactive protein and white blood cell counts as potential mediators of asthma-leuko
105                                 Raised white blood cell counts as well as peaks of serum levels of C-
106 nical pulmonary infection score, lower white blood cell count at day 14, reduced bacterial resistance
107 g event-free and overall survival were white blood cell count at diagnosis (< 30 x 10(9)/L vs > 30 x
108 x, age (<10 years vs >/=10 years), and white blood cell count at diagnosis (<50 x 10(9)/L vs >/=50 x
109 s significantly correlated with higher white blood cell count at diagnosis (P < .001), increased bili
110 result and balancing for sex, age, and white blood cell count at diagnosis by method of minimisation.
111 association between age, Ph(+) status, white blood cell count at diagnosis, and CD20 positivity.
112 ression and E2A-PBX, TEL-AML1, ploidy, white blood cell count at diagnosis, or sex.
113 piratory, cardiac, and liver function, white blood cell count at least 3 x 10(9) cells per L, platele
114         VH4-34(+) patients had greater white blood cell counts at diagnosis (P = .002), lower respons
115 ose group had significantly lower mean white blood cell counts at months 5 and 6; however, premature
116  side-effects is to reduce the donor's white blood cell count before transfusion.
117 d OS (HR, 0.64; P = .02), with initial white blood cell count being the only factor significantly int
118 ease progression significantly reduced white blood cell count, blast cells, splenomegaly, lactate deh
119 e older; were hypertensive; had higher white blood cell count, blood glucose, D-dimer, and serum uric
120                                              Blood cell counts, blood chemistry and histology were us
121 had normal, the other two had elevated white blood cell count, but all of them had elevated CRP.
122 , increasing both neutrophil and total white blood cell count by 6 hours post-injection.
123 es, physical triggers, BAT results, complete blood cell count, C-reactive protein levels, thyroid-sti
124  the performance of selected tests (complete blood cell count, C-reactive protein or fecal calprotect
125 CU including pancreatic stone protein, white blood cell counts, C-reactive protein, interleukin-6, an
126 cent labeling or Coulter counting, the white blood cell count can be defined directly from a microlit
127                                Red and white blood cell counts can also be performed on human body fl
128 Outcome measures were the patients' complete blood cell counts, CD34(+) cell counts and lymphocyte su
129                                              Blood cell counts, cell death, and activation status of
130  had a larger spleen size and a higher white blood cell count compared with those with BCR-ABL1/ABL <
131 hout a known cause should undergo a complete blood cell count, comprehensive metabolic panel, vitamin
132 d 8 other risk factors, including age, white blood cell count, cytogenetics, and gene mutations, into
133  ultrafiltration rate, phosphorus, and white blood cell count declined (all P<0.001).
134 p9 or its cofactor Apaf1 developed low white blood cell counts, decreased B-cell numbers, anemia, and
135 g status, alcohol use, servings of FV, white blood cell count, diastolic blood pressure, diabetes, no
136 lobin, hematocrit, MCV, and TS and the white blood cell count do not apply to all ethnic groups.
137 his large cohort of APL patients, high white blood cell count emerged as an independent predictor of
138                                   With white blood cell count emerging as an important risk factor fo
139 blood samples analyzed for hemoglobin, white blood cell counts, eosinophil counts and total serum IgE
140 escending CA, respectively), and lower white blood cell count, erythrocyte sedimentation rate, and pl
141 L is associated with higher presenting white blood cell counts, faster tumor cell doubling, and enhan
142                        Six biomarkers (white blood cell count, fibrinogen, D-dimer, troponin T, N-ter
143 rcent of patients with CDI had a serum white blood cell count greater than 12 000 cells per muL, and
144             Conclusions and Relevance: White blood cell count greater than 20000 cells/microL and tot
145 irubin level greater than 10 mg/dL and white blood cell count greater than 20000 cells/microL.
146 ount <13 x 10(9)/L) and proliferative (white blood cell count &gt;/=13 x 10(9)/L) CMML.
147 domembranous colitis within 5 days; or white blood cell count &gt;/=15 000 cells/microL within 1 day of
148  bpm, mean arterial pressure <60 mmHg, white blood cell count &gt;/=15 000 cells/mL, age >60 years, seru
149  to 109 per liter, multiply by 0.001); white blood cell count &gt;/=15000/microL, 27% (95% CI, 18% to 36
150 gnosed high-risk ALL (age >/=10 years, white blood cell count &gt;/=50x10(9) per L, or both) were recrui
151 risk patients (those presenting with a white blood cell count &gt;10 x 10(9) cells per L) could receive
152 rocyte sedimentation rate >15 mm/hour, white blood cell count &gt;10,000, or gonococcal/chlamydial lower
153 high-power field (3 points), and urine white blood cell count &gt;10/high-power field (1 point).
154 proteinuria >3 gm/day (11 points), urine red blood cell count &gt;10/high-power field (3 points), and ur
155 ory abnormality, commonly defined by a white blood cell count &gt;100,000/microL, caused by leukemic cel
156  a hemoglobin level </= 120 g/L, and a white blood cell count &gt;11 g/L within 90 days before the surgi
157 l insufficiency included: age, gender, white blood cell count &gt;12,000, prior CABG, congestive heart f
158  before being moribund, macaques had a white blood cell count &gt;20,000 cells/ microL.
159 3, band count as a percentage of total white blood cell count &gt;5%, age >65 yrs, lower respiratory inf
160 proach had minimal toxicity with nadir white blood cell counts &gt;2.7 K/microL 2 weeks after HSCT and r
161     Seventeen patients (42.5%) had CSF white blood cell counts &gt;20/muL (mean, 57/muL), and 27 (67.5%)
162                  Elevated steady-state white blood cell count (&gt; or = 14 x 10(9)/L [14,000/microL]) w
163 .9; 95% CI, 1.4-11.1), high peripheral white blood cell count (&gt;10 x 10(9) cells/L; OR, 8.7; 95% CI,
164 on day 1) added to high-risk patients (white blood cell count, &gt;10 x 10(9)/L), as well as low-risk pa
165 r outcome (CSF culture positivity, CSF white blood cell count, hemoglobin, Glasgow Coma Scale, and pu
166 mance status of two or more, increased white blood cell count, high-risk IPSS score, and higher self-
167 sing tricuspid regurgitation velocity, white blood cell count, history of acute chest syndrome, and h
168 e, higher waist-to-hip ratio, elevated white blood cell count, history of heart failure, diabetes, hi
169 ificantly higher in patients with high white blood cell count (HR 2.45, p 0.011), raised serum alanin
170  (hazard ratio [HR], 3.299; P < .001), white blood cell count (HR, 1.910; P = .017), platelet count (
171 eness of various strategies to monitor white blood cell count in adult patients with schizophrenia ta
172    The proposed platform enabled rapid white blood cell count in low resource settings with a small s
173 ere has been no rapid test that allows white blood cell count in low-resource settings.
174     Existing strategies for monitoring white blood cell count in patients taking clozapine, based on
175 al infection with better accuracy than white blood cell count in the blood.
176 sterol in men, and with higher BMI and white blood cell count in women (differences 0.03-0.06 standar
177        Interperson differences in peripheral blood cell counts in healthy individuals result from gen
178             Dmtf1(-/-) mice showed increased blood cell counts in multiple parameters, and their prog
179 ll analyzer to determine bacterial and white blood cell counts in the urine.
180                                    All other blood cell counts in Tpm4-deficient mice were normal.
181 protein, homocysteine, fibrinogen, and white blood cell count, in 7599 never-smoking adults from the
182 ressing miR-125b showed an increase in white blood cell count, in particular in neutrophils and monoc
183 cclusion, n=1 each; placebo: vomiting, white blood cell count increased, n=1 each).
184                                        White blood cell count is an important indicator of each indiv
185                Long-term monitoring of white blood cell count is compulsory in patients taking clozap
186                             Currently, white blood cell count is primarily conducted in centralized l
187 state (G/G) was associated with higher white blood cell count, larger spleen index, and higher freque
188 eline routine screening results for complete blood cell count, lead, and ZPP drawn between ages 8 and
189 blood cell count parameter thresholds: white blood cell count less than 5000/microL, 10% (95% CI, 4%
190 tive chronic myelomonocytic leukaemia (white blood cell count &lt;13 000/muL), and had anaemia with or w
191 ML is stratified into myelodysplastic (white blood cell count &lt;13 x 10(9)/L) and proliferative (white
192                            Initial CSF white blood cell counts &lt; or =25 cells/microL and protein leve
193 frank hypotension, fever, and elevated white blood cell count, many patients can present with cryptog
194  congestive heart failure, hematocrit, white blood cell count, mean corpuscular volume, blood urea ni
195 patients with IBS were analyzed for complete blood cell counts, metabolic factors, erythrocyte sedime
196 ty, absence of related donor, obesity, white blood cell count more than 100 000 x 10(9)/L, -7/7q-, -5
197 95% CI), 1.66 (1.21-2.29); P = 0.002], white blood cell count more than 16,000 [OR (95% CI), 1.38 (1.
198    Independent predictors of CCDC were white blood cell count more than 25,000/muL (HR: 1.08, 95% CI=
199 me-wide significant SNPs associated with red blood cell count, multiple sclerosis, celiac disease and
200 ness of four strategies for monitoring white blood cell count (national strategies used in the UK, US
201 flammatory markers C-reactive protein, white blood cell count, neopterin, and kynurenine:tryptophan c
202  as well as ethnic differences in peripheral blood cell counts (normal hematopoiesis) in addition to
203 riate model adjusted for age, sex, and white blood cell count, odds of NA for patients not imaged wer
204 -2 and 5.20 (95% CI, 2.70-10.02) for a white blood cell count of >/=20 000/muL vs <20 000/muL.
205 transplants, an age of <2 years, a CSF white blood cell count of >5 cells/mm(3), or a protein level o
206       He was found to have an elevated white blood cell count of 12.2 x 10(9)/L (reference range, [3.
207 y analyses were notable for a complete white blood cell count of 17000/muL (31% blast cells), a plate
208 boratory findings revealed an elevated white blood cell count of 18 x 10(9)/L.
209 1), median age of 12 years, and median white blood cell count of 48.8 x 10(9)/L.
210 c laboratory investigations revealed a white blood cell count of 6.7 x 10(9), a C-reactive protein le
211  Cerebrospinal fluid analysis showed a white blood cell count of 60/muL (to convert to x109 per liter
212                                      A white blood cell count of less than 10,000/microL decreases th
213 sis of the validation cohort confirmed white blood cell count of more than 20000 cells/microL (odds r
214 e hematocrit, hemoglobin, MCV, TS, and white blood cell counts of African-Americans were lower than t
215 s with eosinophil counts (out of total white blood cell count) of 2% or greater (rate ratio 1.22 [95%
216                  Therefore, monitoring white blood cell count on a regular basis can potentially help
217 ins vs. late immunotherapy), and a low white blood cell count on the first cerebrospinal examination
218      New biomarkers, beyond a standard white blood cell count or absolute neutrophil count, continue
219  positivity, and inflammatory markers (white blood cell count or cytokine level).
220                            Fever, high white blood cell count or immature forms, low Glasgow coma sco
221 thy, longer length of stay, and higher white blood cell count or MELD score at discharge.
222    When outcomes were adjusted for the white blood cell count or the relapse risk score, none of thes
223  microparticles did not cause any changes in blood cell counts or chemistry and caused no histopathol
224 % CI, .006-.23], P < .0001); and lower white blood cell count (OR = 0.93 [95% CI, .89-.97], P < .0001
225  U/L; 95% CI, 1.006-1.024), increasing white blood cell count (OR, 1.22 per 1000/mm(3); 95% CI, 1.07-
226  Model for End-Stage Liver Disease and white blood cell count (OR, 4.68; 95% CI, 1.80-12.17; P = .001
227 presence or absence of fever, abnormal white blood cell count, or purulent pulmonary secretions do no
228 linical database with 51 142 observations of blood cell counts over 3 years confirmed a corresponding
229 r-alpha receptor 2, interleukin-6, and white blood cell count), oxidative stress (8-isoprostane and t
230 ereas it was inversely associated with white blood cell count (P < 0.0001).
231 9), lobar location of ICH (p < 0.001), white blood cell count (p < 0.001), and admission diastolic bl
232 1), lower hemoglobin (P = .01), higher white blood cell count (P = .03) and percentage blood blasts (
233 < .001), and had a higher presentation white blood cell count (P = .04), but not a higher incidence o
234 evel, hypertension (each P < .01), and white blood cell count (P = .04).
235 s (multiple regression, P = 0.019) and white blood cell count (P = 0.032), whereas the number of teet
236 ted with older age (P < .0001), higher white blood cell counts (P < .0001), cytogenetically normal AM
237                                  No complete blood cell count parameter at commonly used or optimal t
238   Sensitivities were low for common complete blood cell count parameter thresholds: white blood cell
239  for clinical examination findings and white blood cell count parameters compared with a valid refere
240 estimate the accuracy of individual complete blood cell count parameters to identify febrile infants
241  and/or bacterial meningitis, using complete blood cell count parameters.
242 own BT risk factors, such as age, sex, white blood cell count, percentage of blasts, IPSS prognostic
243 tologic parameters (hemoglobin levels, white blood cell count, percentage of reticulocytes, platelet
244  myocardial and serum cytokines, blood white blood cell counts, peritoneal neutrophil recruitment, ch
245 ttings, abnormal temperature, abnormal white blood cell count, purulent pulmonary secretions defined
246 ular hemoglobin concentration (MCHC) and red blood cell count (RBC).
247 was provided in the outpatient setting until blood cell count recovery (median, 21 days; range, 2-45
248 fter induction or salvage chemotherapy until blood cell count recovery, with resulting prolonged inpa
249 scular volume of 101 fL and otherwise normal blood cell counts; reticulocytes, 0.98%; stable creatini
250 sing alemtuzumab, an anti-CD52 antibody, her blood cell counts returned to normal and she has remaine
251                                          His blood cell count revealed hypereosinophilia.
252                             Secondary: white blood cell count, SA use, acquired antibiotic resistance
253  adults, controlling for age, baseline white blood cell count, secondary AML (sAML), and performance
254 tigations including HCV-RNA levels, complete blood cell counts, serum levels of homocysteine, ALT, al
255                    Age, sex, admission white blood cell count, surgical approach (open vs laparoscopi
256 tologic/oxygen-carrying capacity), and white blood cell count (systemic inflammation).
257  had higher median cerebrospinal fluid white blood cell count than noninfectious etiologies.
258 ents were more likely to have a normal white blood cell count than the control group (82% vs 52%; OR,
259                     Smokers had higher white blood cell counts than nonsmokers (7.7+/-0.2 versus 6.6+
260      These women had significantly lower CD4 blood cell counts than the HIV(-) LR women but comparabl
261 granulocytosis was due to the lifelong white blood cell counts that are now required for clozapine tr
262 tension, C-reactive protein level, and white blood cell count, this association remained significant
263  blood films and his method for differential blood cell counting using coal tar dyes and mentions the
264 moglobin, potassium, sodium, urea, and white blood cell count) using tree models to implement the two
265                            An abnormal white blood cell count usually results from an infection, canc
266                          The patient's white blood cell count was 6.8 x 10(9)/L.
267 nectomy, hepatitis C, smoking, or high white blood cell count was associated with TRV elevation.
268                                              Blood cell count was checked every 2 wk after the first
269                                    The white blood cell count was determined by measuring the colorim
270                                        White blood cell count was normal, and there was no inflammato
271 tion (QTc), deceleration capacity, and white blood cell count was not associated with UFP, AMP, and P
272                                            A blood cell count was performed weekly to monitor hematol
273 ignificantly longer in patients with a white blood cell count (WBC) <50 Giga per liter (G/L) (P < .00
274 l PheWAS using an individual's maximum white blood cell count (WBC) as a continuous measure.
275                                        White blood cell count (WBC) is an important clinical marker t
276 c leukemia (ALL) defined by age (1-9), white blood cell count (WBC) less than 50 x 10(9)/L (50,000/mi
277 flammation, fluid, appendicoliths, and white blood cell count (WBC) were significantly correlated wit
278                                        White blood cell count (WBC), C-reactive protein (CRP), creati
279 fulness of indicators for SBI, such as white blood cell count (WBC), C-reactive protein (CRP), procal
280 ining significant on MVA together with white blood cell count (WBC), sex, and age.
281 ive protein (CRP), interleukin (IL)-6, white blood cell count (WBC), vascular cell adhesion molecule
282 le P-selectin (sCD62P) concentrations; white blood cell count (WBC); heart rate; and blood pressure.
283 A, CSF to serum albumin ratio, and CSF white blood cell counts (WBC), neopterin levels, and concentra
284 lipid levels, hepatic function, and complete blood cell count were evaluated.
285  No significant differences in sex and white blood cell count were found.
286 kemia-free survival, spleen weight, or white blood cell count were identified on 8 chromosomes.
287 , C-reactive protein >/=0.9 mg/dl, and white blood cell count were independent predictors of recurren
288 infection, and elevated urea level and white blood cell count were independently associated with poor
289 F risk (all P<0.05); serum albumin and white blood cell count were not.
290 logy, complete metabolic panel, and complete blood cell count were performed at 4 hours after CR.
291            Her coagulation profile and white blood cell count were within normal limits.
292 d fluctuations in cervical and vaginal white blood cell counts were also evaluated at each study visi
293                                        White blood cell counts were elevated (>10 x 10(9)/L) in 23% o
294 n PV, whereas response in platelet and white blood cell counts were predictive of less thrombohemorrh
295 Pertinent laboratory values, including white blood cell count, were normal.
296 f JAK2(V617F), showed moderate elevations of blood cell counts, whereas another line with a higher le
297 vitamin E, B(12), folate, lead, and complete blood cell count with differential were obtained on the
298 ed total protein and a mildly elevated white blood cell count with lymphocytic predominance.
299       The blood of SCD mice had higher white blood cell counts, with an increased percentage of lymph
300 lls, severely reduced spleen EMH and reduced blood cell counts without affecting bone marrow haematop

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